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base: mckero/Look4Sat-mckero:v4.5.4
mckero/Look4Sat-mckero:main mckero/Look4Sat-mckero:feat/ios-kmp mckero/Look4Sat-mckero:feat/cw-deepcw mckero/Look4Sat-mckero:feat/cw-fldigi mckero/Look4Sat-mckero:feat/thanks-bg7nta mckero/Look4Sat-mckero:feat/amsat-status mckero/Look4Sat-mckero:ultra-function
mckero/Look4Sat-mckero:v4.6.2 mckero/Look4Sat-mckero:v4.6.1 mckero/Look4Sat-mckero:v4.6.0 mckero/Look4Sat-mckero:v4.5.9 mckero/Look4Sat-mckero:v4.5.8 mckero/Look4Sat-mckero:v4.5.7 mckero/Look4Sat-mckero:v4.5.5 mckero/Look4Sat-mckero:v4.5.6 mckero/Look4Sat-mckero:v4.5.4 mckero/Look4Sat-mckero:v4.5.3 mckero/Look4Sat-mckero:v4.5.2 mckero/Look4Sat-mckero:v4.5.1 mckero/Look4Sat-mckero:v4.5.0 mckero/Look4Sat-mckero:v4.4.9 mckero/Look4Sat-mckero:v4.4.8 mckero/Look4Sat-mckero:v4.4.7 mckero/Look4Sat-mckero:v4.4.6 mckero/Look4Sat-mckero:v4.4.5 mckero/Look4Sat-mckero:v4.4.4 mckero/Look4Sat-mckero:v4.4.3-bg7nta-p1 mckero/Look4Sat-mckero:v4.4.3-bg7nta mckero/Look4Sat-mckero:v4.4.3-ba7opf.2 mckero/Look4Sat-mckero:v4.4.3-ba7opf.1
...
compare: mckero/Look4Sat-mckero:v4.5.9
mckero/Look4Sat-mckero:feat/ios-kmp mckero/Look4Sat-mckero:main mckero/Look4Sat-mckero:feat/cw-deepcw mckero/Look4Sat-mckero:feat/cw-fldigi mckero/Look4Sat-mckero:feat/thanks-bg7nta mckero/Look4Sat-mckero:feat/amsat-status mckero/Look4Sat-mckero:ultra-function
mckero/Look4Sat-mckero:v4.6.2 mckero/Look4Sat-mckero:v4.6.1 mckero/Look4Sat-mckero:v4.6.0 mckero/Look4Sat-mckero:v4.5.9 mckero/Look4Sat-mckero:v4.5.8 mckero/Look4Sat-mckero:v4.5.7 mckero/Look4Sat-mckero:v4.5.5 mckero/Look4Sat-mckero:v4.5.6 mckero/Look4Sat-mckero:v4.5.4 mckero/Look4Sat-mckero:v4.5.3 mckero/Look4Sat-mckero:v4.5.2 mckero/Look4Sat-mckero:v4.5.1 mckero/Look4Sat-mckero:v4.5.0 mckero/Look4Sat-mckero:v4.4.9 mckero/Look4Sat-mckero:v4.4.8 mckero/Look4Sat-mckero:v4.4.7 mckero/Look4Sat-mckero:v4.4.6 mckero/Look4Sat-mckero:v4.4.5 mckero/Look4Sat-mckero:v4.4.4 mckero/Look4Sat-mckero:v4.4.3-bg7nta-p1 mckero/Look4Sat-mckero:v4.4.3-bg7nta mckero/Look4Sat-mckero:v4.4.3-ba7opf.2 mckero/Look4Sat-mckero:v4.4.3-ba7opf.1
155 Commits
v4.5.4 ... v4.5.9
Author SHA1 Message Date
mckero 07df22d287 build: bump to 4.5.9 (versionCode 466) 
The v4.5.8 tag was already published against the version-bump commit alone, so
the twelve commits of actual work had no release to land in - moving the tag made
the CI job fail on an existing release rather than replacing it. A new version
number is the right way round, per the project's own rule against re-cutting a
tag.

Release notes are unchanged: the five locales already describe exactly what these
commits contain.
 2026-08-23 11:06:21 +00:00
mckero ac45ed0efb docs: describe the waterfall, transcript and screen-reader work in 4.5.8 
Three lines the release notes were missing, across the five locales that carry
them: the waterfall now spanning the whole audio band, the transcript following
new text, and the CW waterfall and AMSAT day cells being readable by a screen
reader.
 2026-08-23 10:55:58 +00:00
mckero 96bbb022e8 fix(cw): follow the transcript reliably, and keep the AMSAT grid dense 
Two corrections to 10c415fa and 0889a3bd, keeping what those got right and
undoing what they cost.

The transcript now follows new text through an explicit follow flag rather than
comparing scroll position against maxValue. maxValue is written during layout,
after the composition that would read it, so the comparison tested the previous
frame's height: following fell progressively short of the true bottom and, once
the gap passed the slack, latched the operator out of follow-mode until they hit
the exact end. Scrolling away still stops it, which is the point.

The AMSAT day cell goes back to 28 dp. Raising it to 48 dp for the minimum touch
target measured a 71% increase in row pitch - 14 satellites per screen down to 8
on a 6.1" phone - and comparing many satellites at a glance is what that page is
for. Compose cannot extend a touch target past the layout bounds, so this is a
choice rather than a fix; 28 dp is also what shipped before, so the regression
was mine. The contentDescription added alongside it stays, since it costs nothing.
 2026-08-23 09:46:36 +00:00
mckero b6753a4fa6 Revert "fix(cw): scale and band-pass the shifted audio instead of clipping it" 
This reverts commit 0889a3bd88.
 2026-08-23 09:42:45 +00:00
mckero 0889a3bd88 fix(cw): scale and band-pass the shifted audio instead of clipping it 
The mixer runs above unity for any ordinary input - the Hilbert kernel's L1 gain
is 2.51, so amplitude 0.7 peaks at about 1.76 - and the output was hard clipped
to fit. Clipping squares the waveform off and generates odd harmonics, which the
widened waterfall would now put on screen.

Measured, the harmonics happen to be harmless today: TARGET_HZ is a quarter of
the sample rate, so 3f, 5f, 7f and 9f all fold back onto the tone itself and
out-of-band energy stayed at 0.00%. That is a coincidence between two constants,
not a property of the design. At a 700 Hz target the third harmonic folds to
1100 Hz - inside the analysis window, where no filter may remove it and the model
would read it as a second tone.

So two changes, because neither alone is enough. A peak-following gain scales the
mixer output to fit rather than clipping it: measured 0 of 3200 samples on the
rail, against a clipped waveform parking there for much of every cycle. And a
95-tap windowed-sinc band-pass over the model's window removes whatever the mix
leaves outside it - images, harmonics, the far sideband - measured at 58-60 dB
rejection with 0.09 dB of passband ripple and out-of-band energy down to 0.0002%.
The gain is shared across chunks so it cannot step at a boundary, and the filter
carries tap history for the same reason the Hilbert filter already did.

The band-pass adds 47 samples of linear-phase group delay, 14.7 ms, which delays
the keying envelope without distorting it - 4% of a dot at 40 WPM.

CwToneShifterStreamingTest's boundary criterion was wrong, and the band-pass
exposed it: distanceToBoundary measured only forward, so the first samples of a
chunk came out 320 away from "the" boundary and counted as interior when they are
the far side of the same seam. Both filters need samples ahead of the output they
are producing - 32 for the Hilbert transform, 47 for the band-pass - and with the
distance measured to the nearest boundary either way, interior divergence is
0.000116 against a 0.01 budget.

Also: the CW transcript now follows the newest text, but only while the operator
is already at the bottom, so scrolling back to read earlier traffic is not undone
by the next decoded character.
 2026-08-23 06:27:10 +00:00
mckero 10c415fabd feat(cw): draw the whole audio band so an out-of-window tone is visible 
The waterfall showed only the model's 400-1200 Hz window, so a tone outside it
was absent from the picture entirely. Measured on keyed audio, the brightest
column in that narrow view swings 1.01x between key-down and key-up against
13.76x for a tone in range - it carries no keying at all, so the operator could
not tell a signal was present, let alone where it was. Markers alone could not
fix that: they pointed at a frequency with nothing drawn there.

compute() now takes an optional bin range, defaulting to the model's own, so the
decoder path is byte-identical and the golden-vector test still holds. The
display asks for DC to Nyquist, 129 bins against 65. The FFT already computed
every bin - this only changes which are kept - so the cost is a wider copy.

The decoder window is framed and faintly lifted, since half the picture is now
outside what the model reads and nothing said which half.

Marker fixes found while reviewing the render: the tone marker was orange, which
is a colour the inferno ramp itself passes through, so a marker sitting on the
trace it pointed at was indistinguishable from the keying gaps in that trace -
invisible in exactly the case it existed for. It is cyan now, and both markers
are pips in a gutter above the spectrum rather than lines across it.

Also from the release audit:

- compute()'s bin-count guard was written as a three-term disjunction, which any
  custom range satisfies regardless of bin count, leaving the model invariant
  unenforced for the caller most able to break it. Rewritten as an implication,
  with a Nyquist bound so no range can index past the FFT output.
- signalStrength was gated on a confirmed out-of-window tone, which is false when
  detection fails - and it fails for a slow fist, measured at prominence 2.5
  against a 4.5 threshold for 15% duty. So the meter still read half scale beside
  an empty transcript. It now requires a tone confirmed decodable: 11 flow
  combinations, 3 wrong before, 0 wrong after.
- detectedToneHz never expired, so after retuning into the band the hint kept
  naming the frequency the operator had left, indefinitely. It now clears after
  10 s without a tone, which is clear of any real gap - the longest being 1.7 s
  between words at 5 WPM.
- The waterfall label read estimatedPitch while the hint read detectedToneHz, two
  numbers up to 800 Hz apart both claiming to be the tone. Both read the latter.
- Removed a redundant toFloat() that the compiler warned about.

Accessibility, untouched until now: the waterfall was a bare Canvas and the AMSAT
day cells bare Boxes, so both announced nothing at all - on the status page that
is the entire content of the screen. Both now carry a contentDescription naming
the tone or the day's worst status and report count. The AMSAT tap target goes
from 28 dp to 48 dp with the coloured tile still 28 dp, so the grid keeps its
density. Strings in all nine locales for both modules.
 2026-08-23 05:50:59 +00:00
mckero 984a139a81 feat(amsat): let the operator choose the day-cell style 
Opinion split on the stripes, so Settings > Other now has a switch. On by
default, since the flat tile it replaced hid intra-day outages, which is the
problem the stripes were introduced to solve.

Flat mode is deliberately not the old behaviour. The old cell took its colour
from the first slot with a report and its count from that same slot, so a day
that worked in the morning and failed all afternoon read as "worked" - measured
across eight representative day shapes, two of them had their failure hidden
outright, and the count reported 1 where the day held 24 reports. Flat mode now
takes the day's worst status and the day's total count, so the summary can
understate detail but not hide bad news. The help text says so, in case someone
turns the switch off expecting the tile they remember.

The count is drawn in black or white by relative luminance rather than always
white: on the telemetry amber, white measured 1.83:1 against WCAG's 3:1 for
large text, and that cell does carry a count whenever a day held nothing but
telemetry reports. All six status colours now clear 3:1, the worst being 3.03.

SatStatusViewModel collects the setting rather than reading it once - the switch
is on another screen, so the operator is always elsewhere when they change it
and would otherwise return to the old style.

Strings in all nine locales.
 2026-08-23 02:56:05 +00:00
mckero 4cb03111bc fix(cw): stop the decoder claiming a healthy signal it cannot hear 
With tone shift off and the operator tuned outside 400-1200 Hz, the page did not
go quiet - it went confidently wrong. Three measurements, all reproduced against
the real spectrogram path:

estimatedPitch is (32 + loudestBin) * 12.5 - shiftHz with the bin confined to
0..64, so with no shift applied it can only ever report 400-1200 Hz. It cannot
express 1500 Hz, and it does not try: it publishes whichever window edge the
leakage piles against. For a 1500 Hz tone that is 1200 Hz.

That leakage is not faint. The waterfall normalises to the loudest value on
screen, so 50 of 65 bins clear the 0.06 draw threshold and the picture shows a
keyed-looking column pinned to the right edge - the 1200 Hz column runs 25 times
the 400 Hz one.

signalStrength is prominence over the window mean, so the same leakage scores
0.78 and paints the meter to 78% of full width.

So the operator got a strong-signal bar, a plausible 1200 Hz readout, a picture
that looked like a signal, and an empty transcript, with nothing saying why.

The scan that can see past the window now runs whether or not shifting is
enabled - it is the only measurement that can - and publishes through a new
detectedToneHz flow kept separate from estimatedPitch. Overloading the latter is
what let the 1200 Hz claim out in the first place, so the two meanings stay in
two flows. The shift decision still only happens when the setting is on. Cost is
one 121-bin scan every 2 s.

The meter now reads zero when a tone is out of range and not being shifted in: it
is a claim that something decodable is present, and in that state nothing is.

A line under the waterfall says which case the operator is in - the tone was
moved in, or it is out of range and tone shift is off, naming the frequency and
the remedy. Strings in all nine locales; feature:cw only had five, so values-es,
values-ru, values-si and values-uk are new, with the Turkish apostrophe escaped.

CwToneShifterTest pins the premise the hint rests on: that the scan reports tones
the model window excludes, at 120, 250, 1400 and 1500 Hz.
 2026-08-23 01:42:37 +00:00
mckero 23f47d9122 fix(cw): keep the shift marker visible when the pitch readout goes negative 
The guard suppressed every marker, the target line included, whenever the
reported pitch was not positive. Shifting a low tone UP makes that routine:
pitch is (loudestBin * 12.5 - shiftHz), so with a 100 Hz tone shifted +700 Hz it
goes negative for 25 of the 65 bins, down to -300 Hz, and updateSignalMetrics
applies no prominence test so mains hum in a key-up gap is enough to park the
argmax down there. 77 reachable (tone, bin) pairs across 100-350 Hz produce it.
The result was the display showing nothing at all while the shift was active -
exactly what the previous commit set out to fix.

The target line is now drawn on the strength of the shift alone, since a shift
being applied is the fact worth showing and it does not depend on the pitch. A
non-positive pitch marks the low edge, which is where such a tone actually is,
and only the numeric label is suppressed because the number itself is nonsense.
A NaN pitch previously slipped past all three comparisons and rendered the HIGH
edge marker labelled "0 Hz"; it now draws the target line only.

TONE_SHIFT_TARGET_HZ reads CwToneShifter.TARGET_HZ instead of recomputing the
window midpoint. The two are equal today by coincidence, not construction:
retuning either would leave the green line marking a frequency nothing is
delivered to, silently. CwToneShifterTest now pins TARGET_HZ inside the window
and clear of its edges, which is the one part of this the JVM suite can hold.

The label side now tips at the target rather than the window maximum, so a pitch
sitting on the upper edge gets its text on the same side as its line.
 2026-08-23 01:15:03 +00:00
mckero 5a45aab2b1 fix(cw): make the out-of-window tone marker actually visible 
The edge marker was drawn outward from the canvas edge, so every one of its
three line segments fell outside the clip and nothing rendered. Measured at a
typical 320 px width: 0 of 3 segments visible on either side. That is the one
case the marker exists for - an out-of-window tone is absent from this picture
by definition, so with the marker clipped away the operator has no signal at all
that a shift is happening. Which is what was reported.

It is now a solid bar along the edge the tone lies beyond, plus a chevron whose
arms open inward from it, so the whole marker sits inside the clip while still
reading as pointing off-picture.

Three further defects in the same code:

The frequency label was pinned to TopStart while its background rect tracked the
tone's frequency, so at 1500 Hz the rect sat at x=278 and the text at x=11. The
rect is gone and the label now sits on whichever side the marker is on.

Markers were drawn after two early returns that fire on an empty or silent
spectrum. A shift is deliberately held through key-up gaps, so the markers were
blinking out during the very silences the shift survives. They now draw
unconditionally, after the spectrum so it cannot bury them.

dashCount floored, leaving up to 8 px of the column undrawn at the bottom.

Also extracts the marker drawing into a DrawScope extension, hoists the shared
colours and the target frequency to file-level constants, and rounds the label
instead of truncating it.
 2026-08-23 00:28:54 +00:00
mckero 9367878702 fix(cw): show the correct original tone frequency in the waterfall label 
The Canvas marker was fixed to draw at estimatedPitch, but the overlay Text
still computed its label from estimatedPitch + toneShiftHz, which showed the
shifted position (800 Hz) instead of the original tone (e.g. 1500 Hz).
 2026-08-22 15:53:52 +00:00
mckero 8fbc639a82 fix(cw): draw the original-tone marker at the correct waterfall position 
estimatedPitch is already corrected back to the original tone frequency
(the spectrogram computes from shifted audio, and updateSignalMetrics undoes
the shift), so adding toneShiftHz to it again placed the orange marker at the
shifted position - right on top of the green target line, making them
indistinguishable.

The orange marker now goes directly on estimatedPitch. When the original pitch
is outside the visible 400-1200 Hz band, an arrow at the nearest edge points
toward it instead.
 2026-08-22 15:36:17 +00:00
mckero fa73328936 feat(cw): show tone-shift markers on the waterfall spectrogram 
When the tone-shift feature moves a tone into the model's 400-1200 Hz window,
the waterfall now shows two visual markers so the operator can see what is
happening: a green dashed line at the target (800 Hz) and an orange frequency
label at the top-left showing the original pitch.

The waterfall draws the RAW audio, not the shifted audio, so a 1500 Hz tone was
always invisible regardless of the shift setting. The markers close the gap:
the operator can now see that a tone was detected and where it was moved, even
when the original pitch is outside the visible band.

activeShiftHz is now a StateFlow exposed through ICwDecoder so the UI can
observe it without polling.
 2026-08-22 15:32:33 +00:00
mckero 50a644f417 build: bump to 4.5.8 (versionCode 465) 
AMSAT status page: 12 two-hour stripes per day, UTC calendar days, two distinct
greys for no-report vs no-data, and a data-coverage marker from the summary
endpoint that flags satellites crowded out of the global 500-record pull.
 2026-08-22 13:05:31 +00:00
mckero 7a2bbb8701 chore(amsat): update User-Agent to match the current release version 
All three AMSAT endpoint calls still declared Look4Sat/4.5.5 while the project
has been at 4.5.7 for several releases. The API does not appear to validate the
header, but it misrepresents the client version in server logs.
 2026-08-22 12:34:53 +00:00
mckero 018a3afd2b fix(amsat): mark satellites whose reports were crowded out of the global pull 
The API caps at 500 records regardless of the hours requested. With 88 catalog
satellites, eight of them more active than 50 reports per 72 hours, quieter
satellites get crowded out. Measured live: the global pull returned 500 reports
covering 36 satellites, while the summary endpoint reported 743 reports across 38
satellites. 26 of 38 satellites had incomplete data, and two (PO-101_[FM] and
TEVEL2-6_[FM]) had zero reports in the global pull despite having reports in the
summary.

The summary endpoint (api/v1/summary.php) returns per-satellite report counts in
one request, so the fix adds one extra call rather than the 88-request
alternative of per-satellite pulls. A satellite whose global pull is incomplete
gets a subdued "68 / 116" marker next to its name, telling the operator the page
knows there is more data it could not fetch. The marker is silent when the
summary is unavailable or the counts match, so the feature degrades gracefully.

The earlier no-data grey (0xFFE8E8E8) already prevented the worst case: slots
crowded out of the global pull were marked as "we never looked" rather than
claiming "nobody reported". The marker now closes the remaining gap: the page
can honestly say "we know there are 116 reports for this satellite but we could
only show you 68 of them".

Also fixed a subagent mutation-testing residue: the coverage floor had been
moved from global (reports.minOfOrNull) to per-satellite (satReports.minOfOrNull)
and left in the tree. One test caught it (coverage is judged from all reports,
not one satellite's), proving the test has teeth.

Adds getAmSatSummary to IRemoteSource and RemoteSource, parseSummary to
AmSatRepository, and summaryCount to SatStatus. All eight test-file
implementations of IRemoteSource were updated for the new method.
 2026-08-22 11:47:42 +00:00
mckero 3612e662e7 fix(amsat): distinguish slots we have no data for from slots nobody reported 
Grey meant two different things. The API caps at 500 records however many hours
are requested: measured against the live endpoint, a 72-hour request returned 500
reports spanning only 49 hours, so the oldest 9.5 hours of the third day had no
data at all. Those cells were painted the same grey as "nobody reported", which
claimed knowledge we did not have - 352 of 3168 cells on a real page, a third of
the third day's column.

Slots entirely older than the earliest report in the response now use a lighter
grey. Coverage is judged from all reports rather than per satellite: a quiet
satellite has no reports of its own, but the slots it shares with the rest of the
response were still covered, so it must read as "not heard" rather than "unknown".

The two greys are now in the legend, which previously listed only the four active
states. That matters more than it sounds: on the live page 81% of cells are
"nobody reported" and 11% are outside our data, so a user looking at a mostly-grey
row had no way to tell a dead satellite from a gap in what we fetched. The legend
chips use a solid dot, so the two greys stay distinguishable despite the 25%
alpha background. Strings added to all nine locales.

Three tests cover it: a day entirely before the data starts, a day straddling the
boundary, and an empty response marking nothing as covered.
 2026-08-22 10:27:44 +00:00
mckero 79215e7623 test(amsat): pin the slot arithmetic against hostile dates and boundaries 
The UTC alignment landed with tests covering the normal cases; these cover the
ones that would have made it wrong quietly.

Midnight arithmetic is exercised at exactly midnight, a second either side,
every leap-day combination around 2028-02-29, both year boundaries, and the
first of all twelve months in a leap and a non-leap year. Since the code steps
back a day by subtracting 86400 rather than using Calendar arithmetic, those
dates are where a naive step would drift.

Every slot edge across all three days is probed at the boundary and one second
either side, asserting each instant occupies exactly one cell and that the cell's
day matches the report's UTC date - `until` versus `..` on the slot range is a
one-character mistake that would double-count edge reports.

Also pinned: the shared Calendar is not re-read after the labels loop (it points
at the oldest day by then), repeated calls are idempotent, duplicate catalogue
names produce duplicate rows carrying the same report, reports for names absent
from the catalogue are dropped, and the build stays linear in reports rather than
quadratic.

Adds a comment recording why reusing that Calendar is safe: each pass assigns
timeInMillis outright instead of adjusting fields.

235 tests pass.
 2026-08-22 09:15:23 +00:00
mckero 8f646d76f9 fix(amsat): align the status grid to UTC calendar days, one stripe per slot 
Two defects in our own AMSAT page, both found by auditing the change that exposed
them.

The day columns claimed to be dates but were a rolling window anchored on the
fetch time. Fetching at 06:07 UTC put 17.9 hours of yesterday into the cell
labelled today; measured against a live amsat.org page of 1021 reports, 73% of
them landed in the wrong day column and none matched the official cell. Days are
now UTC calendar days and slots are fixed UTC bands - slot 0 is 22:00-24:00, slot
11 is 00:00-02:00 - so a cell's contents match its label whenever it is fetched.

The day cell painted one colour for the whole day, taken from the first slot that
had a report, so a satellite that worked all morning and failed all afternoon
looked identical to one that worked once - the reported symptom. It now draws one
stripe per two-hour slot in the same 64x28 dp footprint. Twelve stripes are about
5 dp each, roughly 15 px at 440 dpi, and runs of the same status merge visually,
so a day reads as a few blocks rather than twelve lines. Every density from ldpi
up allocates all twelve without dropping one, and the 4 dp corner radius leaves
95% of the end stripes visible. The report count text is gone; tapping a day
still lists every report from it, which was already the richer view.

buildStatuses and ApiReport are internal rather than private so the grid contract
can be tested. AmSatSlotBuildTest drives it directly: fetchStatus cannot be
tested here because the parsing around it uses Android's JSONObject, a JVM stub
that makes every call return null - eight of nine tests written against it failed
for that reason before being rewritten.

Also corrects three KDoc comments claiming 5 days when the code builds 3, and
records in AGENTS.md that the status colours are ARGB literals in core:data,
duplicated in MainTheme, which anything needing themeable or colour-blind-safe
colours has to fix first.
 2026-08-22 06:59:39 +00:00
mckero ea125d7db4 refactor(cw): move the shift decision into core:domain so tests can reach it 
Mutation testing found the decision rule was effectively untested. Four defects
injected into it - removing the silence guard, comparing shifts instead of
tones, never setting the hysteresis anchor, and inverting the comparison - all
left the entire suite green. The rule lived inside CwDeepDecoder, which needs an
Android Context and a loaded ONNX session, so tests could only restate it, and a
restated rule cannot fail when the real one is wrong.

CwShiftDecider now holds the rule as a pure class that both the decoder and the
tests drive. Its outcome is reported as an enum so the decoder's logging is a
presentation concern rather than a second copy of the logic. CwShiftDeciderTest
targets each of the four surviving mutants directly.

MIN_PROMINENCE lowered from 8.0 to 4.5. Raising it to 8.0 last round overshot:
measured on 400 ms windows of keyed CW in noise, a comfortably copyable signal
reaches only 7.6-9.0 at 0 dB SNR and 5.2-6.7 at -3 dB, so 8.0 silently refused
to shift weak out-of-window signals - the exact failure the feature exists to
prevent. Pure noise peaks at 2.2-3.4, so 4.5 keeps zero false positives across
40 noise windows while retaining the weak end. A false tone is worse than a
missed one: it moves a good signal out of range, whereas a miss leaves the audio
alone until a stronger window arrives. Windows dominated by keying gaps measure
2.4 and are indistinguishable from noise at any threshold; those are skipped.

Test files reorganised to match: the decision rule is covered by
CwShiftDeciderTest against real code, signal-level properties by
CwToneShiftSignalTest, and the restated-logic file it replaces is gone.

80 CW tests pass, golden vectors included.
 2026-08-22 04:02:28 +00:00
mckero fdb44af9ff fix(cw): stop silence and edge estimates from defeating the tone shift 
Two audit findings, both measured, both able to silently disable the feature.

A detection window landing in a keying gap used to collapse an established
shift to zero. CW is keyed, so gaps are normal: over 180 s of keyed audio at
1400 Hz, 11 of 90 detections saw no tone, and each one wiped the decode window
and left the next ~2 s buffered unshifted - outside the model's range and
therefore invisible to it. Absence of a tone is now absence of evidence and the
active shift is retained.

Hysteresis moved from shift space to tone space, anchored on the pitch that
produced the active shift. The old rule required a non-zero previous shift and
a needed shift, so it lapsed exactly where the jump is largest: at the 1200 Hz
edge one 12.5 Hz estimate hop flips between "inside" (shift 0) and "outside"
(a large shift). Measured 35 window drops in 60 detections for a 1205 Hz tone,
and 10 in 10 for a bare one-bin hop. A shift of zero is a real state, not the
absence of one. Slow drift still catches up, since the anchor bounds staleness
at the margin rather than letting it accumulate.

Detection prominence raised from 3.0 to 8.0. Pure noise peaks at 2.0-3.3 times
its own spectral mean, so 3.0 admitted roughly one noise window in five as a
"tone" - and a false tone is worse than none, since it moves a good signal out
of range. Keyed CW measures 47-51, so the gap is wide.

Shifted output is clamped to the +/-1.0 range the spectrogram assumes. The
Hilbert kernel's L1 gain is 2.51, so mixing overshoots: a full-scale square
wave measured 2.35 and even a plain sine 1.05.

The detection pool moved to core:domain as CwDetectionPool so its ring
behaviour can be tested directly - mutation testing showed the previous private
implementation was unreachable from any test. Its chronological-order contract
now has 11 tests driving the real class.

Removed the write-only detectedToneHz field.

74 CW tests pass, golden vectors included.
 2026-08-22 02:35:58 +00:00
mckero f6db55b35c perf(cw): pool detection samples in a ring buffer 
The detection pool shifted its whole array down one slot per incoming sample
once full. Detection is throttled to 2 s but the pool fills in 400 ms, so for
the remaining 1.6 s of every cycle each chunk arrived at a full buffer: 320
copies of 1280 floats per chunk, measured at 24320 whole-array moves per 10 s
of audio, all on the capture thread.

Writing to a ring index is O(1) per sample. Draining walks the ring from the
oldest slot so the analyser still receives the most recent audio in
chronological order - a test feeds a ramp past capacity and asserts the exact
contents, since getting the wrap wrong would splice the waveform and corrupt
every estimate silently.
 2026-08-22 01:37:16 +00:00
mckero 1b8f8c46f6 fix(cw): drop stale audio on a tone-shift change, and damp detector jitter 
Follow-up to the tone-shift feature, closing gaps the audits surfaced.

Toggling the setting, or the detector settling on a materially different shift,
now discards the buffered audio. Without it the 20 s decode window kept feeding
the model samples moved by the old amount for up to 20 s after the user acted,
and updateSignalMetrics corrected the pitch readout by an offset that no longer
matched the window. Text already committed to the history is kept: it was
correct when it was decoded.

The previous-state flag is nullable and seeded from the current setting on the
first chunk, so a decoder created while the setting is already on does not
report a spurious change and wipe an empty buffer. reset() clears it back to
null for the same reason. Two decoders can be live at once (the CW screen and
the Radar panel) and each tracks its own state.

Re-shifting is now gated by a 40 Hz hysteresis. Detection resolution is 12.5 Hz
and a real tone wanders, so without it an estimate hopping between adjacent
scan bins would drop the window every 2 s - costing far more decoding context
than re-centring gains. 40 Hz absorbs two bins of jitter while still following
a genuine retune; a test pins both halves of that trade-off.
 2026-08-22 01:15:11 +00:00
mckero 9798107d37 feat(cw): optionally shift out-of-window CW tones into the model's range 
DeepCW only analyses 400-1200 Hz - its input tensor is 65 bins wide, fixed at
training time - so a CW note outside that range is invisible to the decoder.
This adds an opt-in preprocessing step that moves such a tone to 800 Hz, the
window centre, extending the usable pitch range without touching the model.

Single-sideband mixing via a 63-tap Hilbert transformer. Plain real mixing was
measured and rejected: shifting 1500 Hz to 800 Hz left a fold-back image at
1000 Hz at 0.999 of the wanted amplitude, inside the window. Zero-stuff
upsampling plus lowpass handled downward shifts but left a 0.996 image when
shifting 300 Hz upward. The Hilbert approach measures clean on nine tones from
150 to 1550 Hz: one peak at the target, nothing above 0.3 relative amplitude.
In-window energy for a 1500 Hz input goes from 6.8% to 94.6%.

Only out-of-range audio is processed. A tone already inside 400-1200 Hz is
returned untouched (same array instance, no copy), and with the setting off the
audio path is exactly what it was before.

CwToneShifter.Streaming carries the Hilbert filter history and mixer phase
across capture chunks. Shifting each chunk in isolation left 62 of every 320
samples convolving against zeros, inflating envelope ripple to 8.7x the
whole-buffer baseline. A residual difference in the last ~3 samples of each
chunk is causal and documented: those output samples would need input that has
not been captured yet.

Detection pools chunks rather than gating on one. A capture chunk is 4410
samples at 44.1 kHz but only 320 after resampling to 3200 Hz, so requiring
1280 samples in a single chunk would have made the feature dead code - the two
independent audits both found this before it shipped. Detection now runs on a
pooled 0.4 s window, at most every 2 s.

Toggling the setting or a change in the detected shift drops the buffered
audio: the 20 s window would otherwise keep decoding samples moved by the old
amount, and the pitch readout could only be correct for one of them. The
readout itself subtracts the active shift so it shows the pitch on the radio,
not the shifted one.

Settings: OtherSettings.cwToneShiftEnabled, off by default, persisted and read
back in SettingsRepo, toggled from the Other card in Settings with a help line
explaining the 400-1200 Hz limit. Strings added to all nine locales. The
decoder reads the flag per chunk, so the toggle applies without restarting
capture.

Debug: the enabled-state transition, each detection verdict (no tone / inside
window / shifting by N Hz), and every shift change are logged, with the noisy
paths throttled to the 2 s detection interval. CwProbe records shift changes
only, keeping well inside its 1 MiB cap.

Tests: 8 shifter tests (detection sweep, noise rejection, pass-through
identity, image-free shifting across 8 tones, end-to-end spectrogram energy),
8 streaming tests (chunk continuity, history retention, reset semantics, chunk
sizes above and below the history window), and 6 gate tests including a
regression guard that a 320-sample chunk must be able to reach the detection
threshold. All 53 CW tests pass, golden vectors included.
 2026-08-22 01:07:38 +00:00
mckero e3d7238721 chore(release): bump build number to 464 for the v4.5.7 rebuild 
Version name stays 4.5.7 so the release is overwritten in place; the build
number must increase for Android to accept the update. This rebuild carries
the upstream rt-bishop merge (18 commits) on top of the 30 audit fixes.
 2026-08-21 11:25:26 +00:00
mckero 40ba3fecdf chore(amsat): remove the HTML scraping path superseded by the JSON API 
The merged upstream AMSAT implementation fetches status data from AMSAT's JSON
endpoints (getAmSatCatalog / getAmSatReports), so the fork's HTML scraping path
no longer has a caller:

- core/data/.../source/AmSatParser.kt (136 lines): parsed the amsat.org status
  table, deriving state from the page's inline colour codes.
- IRemoteSource.getStatusHtml() plus its RemoteSource implementation and the
  DatabaseRepoTest fake override.

Verified zero references repo-wide before removing, and again afterwards.
Request / CancellationException imports in RemoteSource remain in use by the
other fetchers. compileReleaseKotlin plus core:domain / core:data /
feature:map / feature:roaming unit tests stay green.
 2026-08-20 15:00:13 +00:00
mckero 57d6f9d7ed chore(merge): drop dead leftovers from the upstream merge 
Post-merge audit found code the merge left unreferenced:

- SettingsRepo: keySatelliteUrls / keyTransceiversUrls / separatorUrl were
  upstream's list-shaped data-source keys. The merge kept the fork's map-shaped
  DataSourcesSettings, so these three had a definition and zero uses.
- feature/status/res/drawable/ic_refresh.xml: SatStatusScreen imports
  core.presentation.R only, so its R.drawable.ic_refresh resolves to the
  core copy; the feature-local copy was never addressable. It was the only
  file under feature/status/src/main/res, so the directory goes with it.

Verified zero references with a repo-wide grep before removing each symbol.
compileReleaseKotlin plus core:domain / core:data / feature:map /
feature:roaming unit tests stay green.
 2026-08-20 13:24:45 +00:00
mckero a654735337 merge: upstream rt-bishop main (18 commits) with conflict resolution 
Merges rt-bishop/Look4Sat main (a42a5f1f, 18 commits: AMSAT status page,
customizable data sources, Doppler calculator, radar compass offset, per-sat
offset memory, localized date formats) into the fork's 30-commit audit
baseline.

Conflict resolution policy (user-directed):
- AMSAT feature (AmSatRepository, SatStatusScreen/ViewModel, SatStatus model):
  upstream version, which the user judged better built. MainScreen routes
  Screen.AmSat through SatStatusDestination().
- Localization: our values-zh/values-tr restored (upstream's merge dropped the
  fork-only strings); new upstream strings (sat_group counts, compass offset,
  frequency offset help) added in EN + ZH.
- fork-only features kept (CW decoder, Mutual/Roaming, WaveLog, APRS, Log tab,
  custom TLE/transceiver source switches): ours.
- Both sides' additions merged where independent: radar compass offset fields
  (Settings/SettingsRepo/RadarState), calculatorOffsetKHz action, wider linear
  transponder detection, deduplicateTransponders + its tests, sunrise/sunset
  tests merged with the moon hour-angle test.
- Sources kept as the fork's map structure (DatabaseRepo depends on it);
  satelliteModes list re-added for SelectionRepo. getSatelliteTypesIds /
  setSatelliteTypeIds re-added to ISettingsRepo+SettingsRepo; SharedDialog
  re-added to Components; providePairedBluetoothDevices added to
  IMainContainer/MainContainer.
- Icons renamed upstream (ic_satellites->ic_sputnik, ic_radar->ic_satellite)
  applied to Navigation/MutualScreen.

Build verified: all modules compileReleaseKotlin + unit tests
(core:domain, core:data, feature:map, feature:roaming) green.
 2026-08-20 12:35:01 +00:00
atsunatsuandatsunatsu a42a5f1f0d Tweaked sunrise/sunset calculations, added unit tests (#241) 
Co-authored-by: atsunatsu <atsunatsu@users.noreply.github.com>
 2026-08-19 14:46:39 +02:00
mckero c547a126ee chore(release): bump build number to 463 for the v4.5.7 rebuild 
Version name stays 4.5.7 so the existing release can be overwritten in place;
the build number must still increase for Android to accept the update.
 2026-08-18 03:12:45 +00:00
mckero 16c746f552 fix(mutual): advance the search when refine collapses a pass window 
findMutualPassesFallback skips a candidate with `if (refinedLos <= refinedAos)
continue` but left searchStart untouched, so the next loop iteration called
findNextMutualPass with the same start time and received the same pass again.
Today that branch is theoretically unreachable: refineEdge's 70 s window always
spans findNextMutualPass's 60 s sampling step, so the refined AOS/LOS can only
move inward and never cross. But the invariant is fragile - any future change
to the search step or the refine window (or a near-horizon pass whose
crossings land at the window edges) makes the loop spin forever on one pass,
freezing the query coroutine.

Advance searchStart past the collapsed pass before skipping, breaking the
cycle regardless of how the windows shift. Behaviour for the current reachable
paths is unchanged.
 2026-08-17 17:56:09 +00:00
mckero 8f56ea05ec refactor(roaming): reuse positionToQth instead of the ported grid tables 
RoamingScreen carried ~170 lines of decompiled range-lookup tables
(encodeLon/encodeLat) that re-implemented exactly what core:domain's
positionToQth already does. A probe calling both over 16,471 sampled
coordinates (every 2 degrees across the full globe) found byte-identical
8-char locators, so the tables were pure duplication - two implementations of
the same Maidenhead encoding that had to be kept in sync (the earlier boundary
fix had to be applied twice).

Replace them with positionToQth and split its standard-ordered output
(lonField latField lonSquare latSquare lonSub latSub lonSubsub latSubsub) back
into the per-axis segments the UI consumes: the 3x3 ring (first 4 chars),
markerLeft (lon subsquare), markerTop (lat subsquare). Out-of-range input
keeps the old blank-segment behaviour: positionToQth returns null, the locator
becomes spaces, qthNeighbors returns an empty ring, and the marker lookups
fall back to 0.

Net -160 lines. All existing RoamingState tests and the new equivalence probe
pass; :feature:roaming compiles.
 2026-08-17 17:17:19 +00:00
mckero b749733289 fix(audio): keep cleanup from masking start failures or skipping release 
AudioCapture.audioFlow's finally ran recorder.stop() then release() naked. If
startRecording() threw - permission revoked mid-request, audio device error -
the finally's stop() threw IllegalStateException (stop on an uninitialized
recorder), which replaced the original error AND skipped release(), leaking
the AudioRecord. The flow's caller saw "recorder failure" instead of "no
permission" and the native recorder was never freed.

Wrapping each cleanup step in runCatching preserves the original exception
while guaranteeing release() runs. Probe: a start failure previously surfaced
as RuntimeError with released=false; it now surfaces as the original
PermissionError with released=true.
 2026-08-17 16:57:33 +00:00
mckero b4cfb16159 fix(radio): don't record frequencies the radio rejected 
RadioTrackingService wrote lastSetTxFreq/lastSetRxFreq unconditionally after
calling setFrequency, ignoring its Boolean result. When the radio rejected the
frequency - the FT-817 CAT limit added in the previous commit, a dropped
Bluetooth link, or a failed ack - the remembered value no longer matched what
the radio actually holds. The manual-tuning detector then saw a phantom dial
change on the next read-back (read is the real frequency, lastSet is the one
that never landed) and entered tuning mode: it locked onto the wrong base and
kept rewriting the radio.

Probe of the state machine: before the fix, a rejected 1.26 GHz write against
a radio sitting on 145.5 MHz left lastSet at 1.26 GHz, so every subsequent
cycle read a 1.1 GHz gap and flagged manual tuning forever. After the fix the
lastSet is only updated on success, so the detector sees no change and the
loop keeps applying the next valid frequency. Same fix applied to the split
IC-705 path (setWorkingFrequency/setTxVfoFrequency).
 2026-08-17 16:54:23 +00:00
mckero 7319cf8f5b fix(coroutines): propagate cancellation in remote source and status view model 
RemoteSource's five suspend functions and SatStatusViewModel's two fetch paths
caught bare Exception, which also swallows CancellationException. When the
owning scope is cancelled (screen leaves, app closes) a cancelled network call
was reported as a null/error result instead of stopping: the caller kept
running until the next suspension point, and SatStatusViewModel wrote state
updates into an already-cancelled scope. Correct coroutine hygiene is to let
cancellation propagate - rethrow CancellationException before the generic
catch. Verified semantically with an asyncio probe: a swallowed cancel returns
a normal-looking null and the caller continues; a propagated cancel stops the
coroutine immediately.

No behaviour change for real errors; :core:data and :feature:status compile.
 2026-08-17 16:46:09 +00:00
mckero baf2a7022d fix(aprs): hold the client lock across the response read in sendPacket 
sendPacket wrote the packet under the lock but read the server response
outside it. disconnect() - called concurrently from stop() and from the
reconnect path in AprsReporter.reportOnce's catch - nulls and closes
writer/reader/socket under the same lock, so the lock-free read raced with it.
A probe interleaving 5,000 sends with repeated disconnects produced a mix of
744 OK and 4,256 exception results: the response read hit a just-closed socket
and the swallowing runCatching reported Pair(true,"OK") for a packet that may
never have left, or read through a stale reference. The tracker believed the
beacon was heard while APRS-IS never received it.

Holding the lock across write+read serialises against disconnect: either
disconnect got the lock first and sendPacket returns null (writer cleared), or
sendPacket runs to completion and disconnect waits, bounded by the 3 s read
timeout. Re-ran the interleaving probe: 3,000 sends, zero inconsistent
results. Compiles and :core:data tests stay green.
 2026-08-17 16:33:12 +00:00
mckero b95a86c97f fix(radio): reject FT-817 frequencies the CAT protocol cannot express 
The FT-817 CAT frequency field is 4 BCD bytes at 10 Hz resolution, so the
largest representable value is 999,999,990 Hz. encodeFrequencyBcd is exact
below that, but for anything above it the %08d formatting silently drops the
leading digit: 1,267.6 MHz encodes as 126.76 MHz. Verified against the release
bytecode - 1,000,000,000 Hz -> [10 00 00 00] -> 100,000,000 Hz, ten times
lower - and the SatNOGS catalogue has 17 transmitters with uplinks over 1 GHz
(QO-100 at 2400.05 MHz, several 23 cm links), so the wrong value is reachable
via RadioTrackingService when an FT-817 is mis-configured as the TX radio.
The tracking loop's read-back then locks onto the wrong band with no warning.

Reject out-of-range frequencies at setFrequency with a log and return false
instead of sending a corrupted command. In-range values are unaffected
(probe: 7.074/145.5/435.1 MHz and both 999,999,98x/99x MHz round-trip exactly;
every value above the limit is refused before the encoder runs).
 2026-08-16 09:47:26 +00:00
mckero ed1fe66892 fix(geo): replace the clipLon while-loop with a modulo reduction 
clipLon reduced longitudes by looping += 360 until in range. That never
terminates for extreme inputs: Infinity minus 360 is still Infinity, so
clipLon(Double.POSITIVE_INFINITY) hung forever (confirmed by a probe that had
to be killed), and a ~1e12 degree value took billions of iterations, freezing
the map thread. NaN came back as NaN either way.

A modulo reduction runs in O(1) and is bit-equivalent to the loop across the
whole finite domain: a probe sweeping -10000..10000 at 0.01 degree steps (2
million points) plus the boundary values -180/-179.999/0/179.999/180/180.001/
±360/±540 shows zero mismatches. The +180 boundary is preserved by mapping a
modulo result of -180 back to +180 when the input came from the positive side,
matching the old closed-interval behaviour (180 stays 180, only > 180 wraps).

Non-finite inputs return unchanged, so NaN keeps its previous semantics and
Infinity no longer hangs the caller.

New ClipLonTest pins the closed-interval values, the loop-equivalence sweep,
and the immediate return for extreme inputs (the last one hangs the suite if
the while-loop ever comes back).
 2026-08-16 09:41:35 +00:00
mckero 1e24673632 fix(network): close sockets on setup failure and on write failure 
Two leaks in NetworkReporter, the same family as the Bluetooth/APRS/radio
socket leaks fixed earlier:

1. ensureRotatorConnected/ensureFrequencyConnected assigned the field directly,
   so a channel that opened but threw during the rest of setup was never
   closed and remained referenced. Use a local `opened` and close it in the
   catch, matching the pattern used in AprsIsClient/Ic705Controller/
   Ft817Controller/BluetoothReporter.

2. write() only flipped connected=false on failure. The broken channel stayed
   in the field, the next ensure* reconnected and overwrote it, and the old
   channel was never closed. Now a failed write closes the channel and nulls
   the field. The null check is identity-based (socket === field) so a stale
   reference from a concurrent report can never close a newer channel.

State-machine probe: normal write keeps the socket, failed write closes and
nulls, next report reconnects fresh, and passing a stale reference does not
close the newer socket.
 2026-08-16 09:36:08 +00:00
mckero ed0f5678b3 fix(cw): cap the crash-probe log file at 1 MiB 
CwProbe.step() appended one line per call with no size limit, rotation or
cleanup, and it runs on every build: CwDeepDecoder is the only ICwDecoder
implementation and writes infer_begin + infer_done every 1.5 s inference tick.
Measured against the actual line format that is ~170 KB/hour, ~4 MB/day of
unbounded growth in files/probe_cw.txt while CW audio is monitored, plus
synchronous disk I/O on every inference.

Truncate when the file exceeds 1 MiB instead of deleting, so the probe keeps
the most recent diagnostics (the reason it exists: the last lines show where a
flash-crash died). Simulated 10 h of continuous use: 2.7 MB written in total,
file stays bounded around ~640 KB; previously it would have kept all 2.7 MB
and grown without limit.
 2026-08-16 09:33:44 +00:00
mckero aac1fa0da5 fix(map): pick the pass by time instead of a field that is never set 
The map info panel chose which pass to describe with

    allPasses.find { it.catNum == catnum && it.progress < 1 }

but OrbitalPass.progress defaults to 0 and nothing in the repository or the
prediction layer ever assigns it - PassesViewModel computes progress on its own
local copy of the list and never writes it back. The predicate was therefore
always true, so the lookup returned the satellite's *first* pass forever.

Simulated over an ISS timeline with three passes (10:00, 12:00, 14:00), 4 of 6
sampled instants were wrong: from 10:30 onwards the panel still pointed at the
10:00 pass with its countdown frozen at 00:00:00, instead of counting down to the
12:00 and 14:00 passes. Only re-fetching the pass list refreshed it.

Select by time now: the pass currently in progress, otherwise the earliest one
still upcoming. Extracted as the pure internal selectCurrentOrNextPass so it is
testable, with the reasoning recorded so the progress field is not reintroduced
as a filter here.

Restoring the old predicate fails 5 of the 6 new tests; with the fix
:feature:map:testDebugUnitTest, :core:domain:test, :core:data:testDebugUnitTest
and :feature:roaming:testDebugUnitTest are all green.
 2026-08-14 19:49:32 +00:00
mckero c7bb253981 fix(map): close both sides of an antimeridian crossing 
The ground track is cut into polylines so none of them spans 180 degrees, but the
cut only ever appended the outgoing edge point. The next polyline therefore began
at the first sample past the meridian - typically around -178 - so the drawn
track stopped at the edge on one side and reappeared inland on the other,
leaving a visible gap on every orbit that crosses the Pacific.

The edge point also reused the *next* sample's latitude, so the closing leg
jumped: for 179 -> -178 spanning 14 -> 16 degrees latitude the edge was placed at
16.0 instead of the true crossing at 14.667.

Now a crossing closes the current polyline on the edge it leaves through and
opens the next one on the opposite edge, both at the interpolated crossing
latitude, so the seam is continuous.

The split is extracted as the pure internal splitAtAntimeridian/crossingLatitude
pair, which also gives feature:map its first unit tests. Verified against a
standalone Java probe first (eastward, westward, repeated crossings, and a track
hugging the edge without crossing), then as Kotlin tests: restoring the old
single-point behaviour fails four of them, and the current code is green
alongside :core:domain:test and :feature:roaming:testDebugUnitTest.

Also drops the misleading "left/right terminal position" comments: the branch
that fires when the previous sample sat near +180 is the eastward crossing, and
it correctly closes on +180.
 2026-08-14 19:19:42 +00:00
mckero af96fe1cf0 test(predict): pin the Moon hour angle to a reduced range 
MapViewModel converts MoonPosition.gha into the sub-lunar longitude with
`if (gha <= 180) -gha else 360 - gha`, which is only a valid longitude while gha
stays inside 0..360. Nothing enforced that: getMoonPosition relies on
`while (teg > 360) teg -= 360` reducing GMST before the single
`if (gha < 0) gha += 360` correction, and the raw GMST polynomial is about
3.5e6 degrees today, so losing that one line silently pushes the Moon marker
millions of degrees off the map instead of failing loudly.

Sweep a synodic month at 37-minute steps (1,167 samples) asserting gha stays in
0..360 and the derived longitude in -180..180, plus a check that the hour angle
advances 10-20 degrees per hour.

Verified the test has teeth: deleting the teg reduction makes both cases fail;
with the current implementation :core:domain:test is green. No production change
- the existing code is correct.
 2026-08-14 18:54:26 +00:00
mckero 27d41eb2ee fix(amsat): render only the days the API actually returned 
The status grid always drew six day columns, but the AMSAT reports endpoint
cannot supply six days for the full catalogue. Measured against the live API:

  limit=500  -> meta.count=500, covers 4 days (Aug 11..Aug 14)
  limit=1000 -> meta.count=500, same 4 days   (server clamps the limit)
  hours=336  -> meta.count=500, same 4 days   (window size does not help)
  before/offset/page -> ignored, same 500 newest rows

With ~90 catalogued satellites the 500 newest rows only reach about four days
back, so the two oldest columns were guaranteed to be uniformly gray. Gray means
"no report" in this UI, so the screen asserted nobody reported those days when
the truth was that the data was never fetched.

Derive the column count from the oldest report actually received, capped at six.
On live data that yields four columns labelled Aug 14..Aug 11 instead of six with
Aug 10 and Aug 9 blank. The UI already renders whatever days it is given, so no
UI change is needed.

Also name the request constants and record what was measured about the endpoint,
so the 500 is not mistaken for an arbitrary choice that can simply be raised.

Note for a future change: the per-satellite form of the endpoint
(reports.php?name=...) is not affected by the cap - sampling eight satellites
returned 926 rows spanning eight days, i.e. full six-day coverage - but it needs
one request per satellite (~0.8 s each, ~68 s for the whole catalogue), so
switching to it is a deliberate trade-off rather than a bug fix.

:core:data:compileReleaseKotlin, :core:data:testDebugUnitTest and
:core:domain:test all BUILD SUCCESSFUL.
 2026-08-14 18:30:31 +00:00
mckero 2bac6655f3 fix(amsat): align status slots to their UTC calendar-day labels 
AmSatRepository labelled columns by calendar date but filled them by slicing a
rolling 72-slot window ending at fetch time. The two timelines coincide only
near 23:59 UTC. At common fetch times the status grid lied about dates:

  UTC 00:00: 72 / 72 slots under the wrong label
             "today" column contained all of yesterday
  UTC 12:00: 36 / 72 wrong; every column straddled two dates
  UTC 13:37: 30 / 72 wrong
  UTC 23:59:  0 / 72 wrong (the accidental alignment case)

Anchor the six columns on UTC midnight instead. Every SatDay now covers exactly
[day 00:00, next day 00:00), split into twelve 2-hour slots newest-first so the
UI's existing first-non-gray lookup still chooses the latest daily report.

A standalone Java probe porting the old arithmetic reproduced the 72/72,
36/72 and 30/72 mismatches. Porting the new formula gives 0/72 mismatches at
00:00, 12:00, 13:37 and 23:59 UTC.

Also restore core:data's unit-test compilation. DatabaseRepoTest's fakes were
stale after IRemoteSource gained AMSAT methods and ISettingsRepo's zero-arg GPS
setter became suspend; the whole data test suite previously could not compile,
so data-layer regressions were untestable. Updated the fake members and verified
:core:data:testDebugUnitTest plus :core:data:compileReleaseKotlin BUILD
SUCCESSFUL. The product code does not use org.json in JVM tests because Android
org.json stubs throw there, so the date math remains verified by the standalone
same-JVM probe rather than a misleading mocked parser test.
 2026-08-14 18:08:46 +00:00
mckero 2da7127fd3 fix(roaming): derive the 3x3 grid from qthNeighbors 
The decompiled per-edge branches computing the surrounding nine squares had two
independent defects.

1. Field letters stepped past the alphabet

Every branch moved a field with raw character arithmetic (`str[0] - 1`,
`str5[0] + 1`) and Maidenhead fields only run A..R, so coordinates near the
edges of the world produced squares outside the alphabet:

  (-89.9, -179.9) -> [@A91, AA01, AA11, @A90, AA00, @A10, @@99, A@09, A@19]
  ( 89.9,  179.9) -> [RS80, RS90, SS00, RR89, RR99, SR09, RR88, RR98, SR08]

2. Some moved cells kept the old field letter

The north-edge branch advanced the latitude field for the top-centre cell only,
leaving the two top corners in the previous field:

  centre AA19 -> ported [AA00, AB10, AA20, ...]
                 correct [AB00, AB10, AB20, ...]

Cross-checked against the shared qthNeighbors helper, which is already covered
by QthConverterTest including the AA00 and RR99 wrap cases:

  before: 64,800 sampled coordinates, 6,480 disagreed (all with centre square
          digits 00 or x9, i.e. the north edge and the 00 corner)
  after:  64,800 sampled coordinates, 0 disagree

The ring is plain Maidenhead arithmetic with no QTH-Locator-specific behaviour,
so call qthNeighbors instead of keeping a second, wrong implementation. The
now-unreferenced buildGrids branches are removed (grep confirmed the definition
was the only remaining occurrence). The existing OL42 reference grid and the
four ported edge-case tests still pass unchanged.

Reverting the fix fails both new regression tests; with it
:feature:roaming:testDebugUnitTest and :core:domain:test are green.
 2026-08-14 17:34:06 +00:00
mckero fed9fe188e fix(roaming): assign exact grid boundaries to the correct cell 
The QTH Locator port keeps the decompiled range tables, which close both
adjacent cells (`-20.0..0.0` then `0.0..20.0`). Kotlin's `when` takes the first
match, so any coordinate landing exactly on a field, square or subsquare
boundary was attributed to the previous cell:

  (0, 0)          II99xx99  should be JJ00aa00
  (1, 1)          JJ00lx99  should be JJ01ma00
  (22, 108)       OL31xx99  should be OL42aa00
  (22.5, 108.5)   OL42fl99  should be OL42gm00
  (22.25, 108.25) OL42cf99  should be OL42dg00

At the field level the locator is wrong by a whole 20 deg x 10 deg field, and
the 3x3 neighbour grid plus the red position marker are derived from the same
characters, so the whole Roaming screen pointed at the wrong square.

Cross-checking the port against core/domain positionToQth over the grid:
  before: 65,341 sampled points, 4 agreed
  after:  65,341 sampled points, all agree

The independent converter was confirmed correct first: it reproduces the
user-verified reference sample OL42ih45, and hand-computing lon=-179.75
(0.25 deg into the field, x12 -> subsquare index 3 = 'd') and lat=-90
(subsquare 'a', extended digit 0) matches it rather than the port.

Rather than rewriting the faithful lookup tables, nudge the input by 1e-10 so
the closed ranges behave like the standard half-open [low, high) cells, keeping
+90/+180 inside the final R cell. Seven real-world city samples and all existing
ported-behaviour tests, including (90, 180) -> RR99xx99, are unchanged.

Regression tests added for the boundary cases and for cross-implementation
agreement. Reverting the fix fails both; with the fix
:feature:roaming:testDebugUnitTest is green.
 2026-08-14 16:59:30 +00:00
mckero 19ca5205fb fix(cw): make waterfall revision atomic and keep clear from resurrecting old data 
Two races shared the same cause: pushSamples runs on the audio capture thread
while clear() runs on the Compose main thread.

1. Lost redraw notifications

Both paths did `_revision.value += 1`. That expands to get -> add -> set and is
not atomic. A controlled two-thread probe (20k increments each, five runs)
lost up to 6,402 increments / 16%; using StateFlow.update lost zero. Since
revision is the Canvas's only redraw signal, every lost update can leave the
waterfall showing stale rows. If both writes land on the same number, StateFlow
sees no value change and notifies nobody.

Use `_revision.update { it + 1 }` in both paths.

2. Clear resurrected pre-clear audio

pushSamples copies pending audio under the lock, deliberately performs FFT
outside it, then reacquires the lock to append rows. The exact interleaving:

  audio thread: take old audio, start FFT
  main thread:  user taps Clear -> rows/pending empty
  audio thread: old FFT completes -> appends old rows again

The display becomes empty then immediately redraws the audio the user cleared.
A deterministic thread probe reproduced old rows after clear. Add a generation
counter protected by the same lock: pushSamples records it before FFT and drops
the computed rows when clear incremented it meanwhile. Fixed probe remains empty.

Verification: :feature:cw:compileReleaseKotlin + full :core:domain:test BUILD
SUCCESSFUL; grep confirms no non-atomic revision increments remain.
 2026-08-14 16:31:25 +00:00
mckero a7a6d70d40 fix(aprs): keep enabled switch consistent with actual service state 
AprsForegroundService refuses to run when callsign is blank and calls
stopSelf(), but it never writes enabled=false back to AprsStore. AprsCard did
the opposite: toggling Enable first persisted enabled=true, then started the
service. On a fresh install with no callsign this produced a permanent lie:

  UI switch: ON   SharedPreferences: enabled=true   service: stopped

Leaving and reopening settings still showed ON even though APRS had never sent
a packet. Startup/restore code could then repeatedly try to launch a service
that immediately stops itself.

There were two entry paths with the same root cause:
1. Turning the switch on before entering a callsign.
2. Erasing an existing callsign in the dialog while APRS was already enabled.

The switch now opens the configuration dialog without persisting or starting
anything when callsign is blank. Saving the dialog also forces enabled=false
when the callsign was erased.

State-machine simulation: old state ends ON/stopped; both fixed paths end in a
consistent OFF/stopped state. :feature:settings:compileReleaseKotlin and full
:core:domain:test BUILD SUCCESSFUL.
 2026-08-14 16:10:18 +00:00
mckero d5230b3bc6 fix(qth): correct Maidenhead boundaries and longitude wrapping 
A full-domain round-trip probe found three related boundary bugs.

1. Exact positive limits wrapped the square/subsquare terms to zero

positionToQth clamped only the A-R field index. At +90 latitude / +180
longitude the field saturated at R, but all later terms used modulo and wrapped
to square 0 / subsquare a:

  (90, 180) -> RR00aa00 -> (80.002083, 160.004167)
  error: -9.998 deg latitude, -19.996 deg longitude

The existing test incorrectly asserted RR00aa00 and had therefore fossilised
the defect. Clamp shifted coordinates just inside the half-open upper bound so
the limits land in the final cell RR99xx99.

2. isValidPosition allowed longitude through +360

Maidenhead covers -180..180, but 181..360 was accepted and produced plausible
locators that decoded 20-200 degrees away:

  lon 181 -> decoded 161.004167  (error -19.996)
  lon 270 -> decoded 170.004167  (error -99.996)
  lon 360 -> decoded 160.004167  (error -199.996)

Restrict the converter contract to -180..180.

3. Locator validation allowed S-X as field letters

The first pair has 18 fields A-R, while only the later subsquare pairs use
A-X. The shared [A-X]{2} regex accepted SS00aa / XX99xx and decoded them past
the poles (up to lat 149.98, lon 299.96). Use A-R for the field pair.

The SettingsRepo caller had a separate wrapping bug that masked part of this:
it mapped longitude>180 by subtracting 180 (270 -> +90, wrong hemisphere)
instead of modulo 360 (270 -> -90). Fix that at the writer too.

Verification:
- standalone JVM sweep: 519,841 points, old code had 1,441 large-error points
  with max drift 9.997917 deg lat / 19.995833 deg lon
- new Kotlin regression sweep requires every 8-char round trip <=0.01 deg
- QthConverterTest BUILD SUCCESSFUL
- full :core:domain:test + :core:data:compileReleaseKotlin BUILD SUCCESSFUL
 2026-08-14 15:57:32 +00:00
mckero 7d7abeb31e fix(aprs): prevent duplicate reporters on repeated service starts 
Every ACTION_START - and every null intent delivered by START_STICKY - called
startReporting(), which always constructed a new AprsReporter and overwrote the
field without stopping the old one. AprsReporter owns an independent
SupervisorJob + periodic while(isActive) loop, so every overwritten instance
kept reporting forever and could no longer be reached by ACTION_STOP.

Simulation:
  five ACTION_START events: 5 running reporters, 4 leaked -> fixed: 1 / 0
  START + 3 sticky restarts: 4 running, 3 leaked -> fixed: 1 / 0
  mixed real sequence:      4 running, 3 leaked -> fixed: 1 / 0

At the default 10-minute interval, four leaked reporters send 24 duplicate
position packets per hour and open 24 needless connections; this also amplifies
the connect-time socket leak fixed earlier.

startReporting now returns when the current reporter is active. Config changes
remain correct: AprsCard explicitly sends ACTION_STOP before ACTION_START, so
the old reporter is stopped and nulled before the new configuration starts.

:app:compileReleaseKotlin BUILD SUCCESSFUL.
 2026-08-14 15:38:08 +00:00
mckero 828f720955 fix(status): show gray cell instead of crashing on an empty day 
AmSatParser deliberately uses getOrNull + mapNotNull while reading each day's
12 slots, so a shortened HTML row can legitimately produce SatDay(slots=[]).
StatusRow then selected the first non-gray slot and fell back to slots.first(),
which throws NoSuchElementException and crashes the entire AMSAT status screen.

Use firstOrNull for both lookups and render a zero-count gray placeholder when
no slot exists. Real amsat.org HTML currently has all 41 satellite rows at the
full 73 cells, but the parser's own tolerance contract means the UI must handle
what it can emit.

Verified against the live page: parser matches 41/41 rows and 477/477 reports;
:feature:status:compileReleaseKotlin BUILD SUCCESSFUL.
 2026-08-14 15:27:43 +00:00
mckero 5f1f90067f fix(aprs): clamp altitude and wrap course to keep fixed-width fields 
Both extensions are fixed-width decimal fields, but neither value was range
checked before formatting:

  formatAltitude(-50.0)      -> /A=-00164   ('-' eats a digit slot)
  formatCourseSpeed(_, 360f) -> /360/...    (course must be 000..359)
  formatCourseSpeed(_, -1f)  -> /-01/...    (widens the field)

A negative altitude is reachable from a below-sea-level position or a poor GPS
fix, and the malformed extension corrupts everything after it in the comment
field. Altitude now clamps to 0..999999, course wraps modulo 360, and speed
clamps to three digits.

Found by the same locale probe that produced the previous commit.
:core:domain:test BUILD SUCCESSFUL.
 2026-08-14 15:12:30 +00:00
mckero f4e188261d fix(aprs): format packets with Locale.ROOT so they stay ASCII 
All nine String.format calls in AprsPacket used the JVM default locale. On a
device set to Arabic, Persian or Bengali the digit shapes come out as
Eastern Arabic / Bengali numerals, so every position report was malformed:

  ar_EG  lat=٣٩٥٤.٢٥N  lon=١١٦٢٤.٤٤E  alt=/A=٠٠٠٣٢٨
  fa_IR  lat=۳۹۵۴.۲۵N  lon=۱۱۶۲۴.۴۴E  alt=/A=۰۰۰۳۲۸
  bn_BD  lat=৩৯৫৪.২৫N  lon=১১৬২৪.৪৪E  alt=/A=০০০৩২৮

APRS-IS is an ASCII line protocol, so aprsc rejects these packets outright:
APRS reporting simply never worked for those users, with no clear error.
A locale using ',' as the decimal separator would corrupt the range filter
the same way.

Affected: getDMS position encoding (all five ambiguity branches), the
DDMM.MM/DDDMM.MM assembly, formatAltitude, formatCourseSpeed and
formatRangeFilter.

TDD proof:
  without Locale.ROOT: 4 of 4 AprsPacketLocaleTest cases FAILED
  with Locale.ROOT:    BUILD SUCCESSFUL, full :core:domain:test green

Ruled out by the same probe (no change made): getDMS degree/minute split
matches an independent DDMM.MM reference implementation over 1,800,000 sampled
latitudes with zero divergence; the passcode loop dropping the trailing NUL on
even-length callsigns is the standard algorithm's behaviour.
 2026-08-14 15:09:18 +00:00
mckero e1233dceaa fix(wavelog): preserve six-character grids in v1 ADIF upload 
WaveLog v1 truncated every grid to four characters with gridsquare.take(4),
while v2 sent the same grid at full precision. QRZ backfill provides six-character
locators (e.g. OM89ab / FN31pr), so the v1 path - the one used by the user's
server in practice - degraded position precision from roughly 4.6 km to around
100 km and stored different data depending on which API version answered.

Send the complete grid through v1 as well. The ADIF length field is already
computed from the actual value, so six/eight-character locators need no special
handling.

TDD proof:
  old take(4): v1_adif_preservesSixCharacterGrid FAILED
  fixed:       WaveLogApiPayloadTest BUILD SUCCESSFUL
  full suite:  :core:domain:test BUILD SUCCESSFUL
 2026-08-14 14:56:23 +00:00
mckero 09e728fa1b fix(data): close sockets when connect() fails after the handshake 
All five connect paths opened a socket, completed the TCP/RFCOMM handshake,
and only afterwards stored it in a field. Any exception in between leaked the
socket: the catch block just flipped a boolean, and disconnect() can only close
what already reached the fields.

Leak windows (statements that can throw after the handshake succeeded):
  AprsIsClient.connect        soTimeout / tcpNoDelay / getOutputStream / getInputStream
  Ic705Controller.connect     outputStream / inputStream / sendAndWaitAck
  Ft817Controller.connect     outputStream / inputStream
  BluetoothReporter x2        outputStream

AprsIsClient is the worst case because AprsReporter retries on a timer
(intervalMin, minimum 1 minute) and nulls out the client after each failure,
so every failed attempt permanently loses one fd:

  failure rate   leaked fds/hour   time to exhaust 1024 fds
       5%              3.0              ~14.2 days
      20%             12.0               ~3.6 days
      50%             30.0               ~1.4 days
     100%             60.0              ~17 hours

Typical trigger is a weak link where the TCP handshake succeeds but the peer
immediately RSTs (overloaded or rate-limiting APRS-IS server). Once fds run out
nothing in the process can open a socket or file any more: TLE updates, AMSAT
status and WaveLog uploads all start failing with no obvious cause.

Each path now keeps a local reference to the socket it opened and closes it in
the catch block, also clearing the stream/socket fields so a half-initialised
connection is not mistaken for a live one.

Verified: :core:data:compileReleaseKotlin BUILD SUCCESSFUL; grep confirms all
five close calls are present.
 2026-08-14 14:09:42 +00:00
mckero c1895506e0 fix(cw): flush archive buffer inside loop to stop dropping audio 
CwDeepDecoder appended evicted samples with a bare bounds check:

    for (v in overflow) {
        if (archiveSize < archiveBuffer.size) archiveBuffer[archiveSize++] = v
    }
    if (archiveSize >= ARCHIVE_THRESHOLD) { flush() }

Once archiveBuffer (64000 samples / 20 s) filled up mid-batch the remaining
samples were silently discarded, because the flush only ran after the loop.

Worst measured case: 47999 samples already accumulated (just under the 48000
flush threshold, so no flush) plus a 64000-sample overflow batch means 111999
samples pushed into a 64000 buffer -> 47999 dropped, i.e. 15 s of audio missing
from the permanently archived CW history.

Now the buffer is flushed as soon as it is full and before appending, so every
sample reaches archiveDecode. Simulation over five batch patterns: dropped
count goes 47999 -> 0 for the worst case and all 111999 samples are archived.

Bounds: single append() can evict at most capacity samples, so drainOverflow()
returns at most 64000 - archiveBuffer never needs to grow.
 2026-08-14 13:28:55 +00:00
mckero 066fafbb81 fix(data): use Mutex to queue calculatePasses, not drop calls 
The previous guard (if (_isCalculating.value) return) silently dropped
concurrent calls. Every call carries filter settings the user just applied,
so a dropped one left the list showing results for the previous filter:

  User clicks 'Apply' with elevation>=5
  -> UI updates to show elevation>=5
  -> calculatePasses(elevation>=5) called
  -> but if _isCalculating=true, return immediately
  -> list still shows elevation>=30 results

The guard window is wide: delay(1000) + real calculation time (hundreds
of ms to seconds), exactly when the progress indicator spins and users
naturally interact again.

Mutex serializes calls instead: the second one queues and eventually runs
with its own parameters. This also fixes the original concurrency issue
(duplicate parallel calculations) and adds finally {} so a thrown exception
cannot leave isCalculating stuck at true (frozen progress indicator).

Reverts the regression introduced in the previous attempt to add concurrency
protection.
 2026-08-14 13:07:53 +00:00
mckero aedb3fee19 fix(radar): SwipeDeleteRow missing key() deletes wrong QSO 
Without key(entry.id), Compose reuses component state by position.
When the list reorders mid-countdown (new QSO inserted at index 0,
or QRZ grid backfill triggers refreshTick++), the pending deletion
transfers to a different record and removes the wrong one.

Affected screens: LogTab and WavelogLogScreen.
 2026-08-14 12:57:37 +00:00
mckero 77314e824e fix(radar): make pass auto-advance and duplicate-QSO guard actually work 
自查上一轮修复时发现两处改动根本没生效, 属于我上一轮的误判, 这里改成真修复。

## 1. 过境结束不切换 (上一轮改动无效)

上一轮在 tick 循环里加了"过境结束就重新 findCurrentPass()"。但
findCurrentPass() 的第一级匹配是:

    passes.find { it.catNum == catNum && it.aosTime == aosTime }

其中 (catNum, aosTime) 来自 satelliteRepo.selectedPass, 而 selectPass()
只在 MainScreen 用户点击过境时调用 (grep 全仓库确认 3 处调用点全在
MainScreen), 雷达页运行期间该值不变。所以过境结束后重新查询仍然精确命中
同一个已结束的过境, nextPass != pass 恒为 false, 一次都切不过去。

模拟脚本复刻 findCurrentPass 四级回退 + tick 循环验证:
  修复前 ISS(10:00-10:10) 结束后, 到 10:19 仍在 tick ISS, 切换 0 次
  修复后 10:11 切到 NOAA-18(10:15-10:25), 切换 1 次
  边界: 最后一个过境结束后无下一个, 保持当前不崩溃

改为新增 findNextPassAfter(): 取 aosTime > current.losTime 的过境, 优先
同一颗卫星的下一圈 (雷达继续跟这颗星), 没有则退回任意卫星最早的那个。

## 2. 重复提交 QSO (上一轮改动无效)

上一轮加的 submitting 标志位没有任何作用: submit() 全程同步, 进入时置
true, 返回前置 false, 中间没有挂起点。两次 IME onDone 是两个独立事件,
第二次进来时标志早已复位。

改为记录上次入库的呼号与时间戳, 同一呼号在 2 秒内重复提交直接忽略。
这才是实际要防的场景 (误触两次回车存两条同样的 QSO)。

验证: :feature:radar:compileReleaseKotlin BUILD SUCCESSFUL
 2026-08-14 12:45:33 +00:00
mckero 74902cddce fix(i18n): escape single quote in Turkish whatsnew string 
Android AAPT requires single quotes in string resources to be
escaped as \' to avoid being interpreted as the start of an
escape sequence. The unescaped Ayarlar'ı triggered:
'Invalid unicode escape sequence in string'

values-tr/strings.xml:108 Ayarlar'ı → Ayarlar\'ı
 2026-08-14 11:44:16 +00:00
mckero 8324903104 chore(release): bump versionCode to 462 and refresh whatsnew for v4.5.7 
Increment versionCode 461 → 462 to allow reinstallation over the existing
v4.5.7 APK (required for覆盖发行版 to work on user devices).

Update whatsnew in all 4 locales (en/zh/tr/id+in) to document the 10 bug
fixes shipped in this release:
- Menu layout: Settings永久消失, AMSAT/WavelogLog forced migration
- DataParser: epoch parsing for UTC 00:00:01–00:01:26
- Radar: auto-switch to next pass, live Doppler offset
- Passes: division by zero in progress calculation
- SatelliteRepo: concurrent calculatePasses race
- WaveLog: duplicate QSO submission, grid square update race

Release notes now include both the DeepCW fp32 migration and the 10 fixes.
 2026-08-14 11:38:59 +00:00
mckero a757474b06 fix(radar): 过境结束后自动切换到下一个过境 
根因：
collectPassAndStartTickLoop() 启动时调用 findCurrentPass() 获取当前过境，
之后进入 while(isActive) 循环每秒 tickPass()，但从不重新检查过境是否结束。
结果：过境 LOS 后雷达页面继续显示旧卫星位置（冻结在地平线），用户必须
手动返回过境列表重新点击下一个过境。

触发条件：
1. 用户在过境进行中打开雷达页面
2. 过境结束时用户仍停留在雷达页面
3. passes 列表中存在后续过境

修复：
每次 tick 开始时检查 timeNow > pass.losTime，如果过境已结束则调用
findCurrentPass() 查找下一个过境。findCurrentPass() 的三级回退逻辑
（精确匹配 → 时间窗口 → 同卫星 → 第一个）保证能拿到合理的下一个过境。
如果找到且与当前 pass 不同，则重新 loadPassData() 加载新过境的电台和轨迹。

影响：
雷达页面现在会无缝切换到下一个过境，用户体验接近实时卫星跟踪软件。
如果 passes 列表为空（所有过境都结束），页面保持最后状态不崩溃。
 2026-08-14 11:24:01 +00:00
mckero 9cfa238e5c fix(passes): 防止过境进度计算时除零崩溃 
根因：
PassesViewModel.updateProgress() 计算进度时用 deltaNow / deltaTotal，
如果 TLE 损坏、轨道退化、或数据解析错误导致 losTime <= aosTime，
deltaTotal 为 0 或负数，除法触发 ArithmeticException 或产生 Infinity。

触发条件：
1. OMM/CSV 历元解析 bug（已在另一 commit 修复）导致时间错乱
2. 深空卫星 TLE 过期几十年，losTime 计算失败回退到 aosTime
3. 手动导入格式错误的 TLE

修复：
在除法前检查 deltaTotal <= 0f，跳过该过境的进度更新。
用户仍能看到过境列表，但异常过境不显示进度条（优雅降级）。

影响：
避免因单个异常 TLE 导致整个过境列表页面崩溃。
 2026-08-14 11:22:54 +00:00
mckero 29ca4c29bb fix(data): 拒绝 calculatePasses 并发调用防止重复计算 
根因：
SatelliteRepo.calculatePasses() 在耗时计算期间如果被重复调用，
会启动多个协程同时遍历卫星列表，导致：
1. 重复的 SGP4 轨道计算（CPU/电池浪费）
2. passes MutableStateFlow 被多次更新，触发下游 UI 重组风暴
3. _isCalculating 标志被后续调用覆盖，可能提前置 false

修复：
在 _isCalculating.value = true 之前检查当前值，如果已在计算中则
直接 return，拒绝并发调用。

影响：
防止用户快速切换过滤条件、旋转屏幕等场景下的重复计算。
_isCalculating 现在是真正的互斥信号量（简化版，无等待队列）。
 2026-08-14 11:22:07 +00:00
mckero 82c8112575 fix(settings): RadioControlDialog 组合期间写状态 
问题：Compose 运行时警告两次 'State write during composition' (split mode 重置 + baud rate 调整)。
根因：splitMode/baudRate 的条件写操作在组合 body 内直接执行 (if 块)。
修复：用 LaunchedEffect 隔离副作用，避免组合期间修改状态。
影响：消除运行时警告，避免潜在的组合跳帧或死循环。
 2026-08-14 09:33:53 +00:00
mckero 20e5b2f617 fix(roaming): 权限授予后页面内刷新状态 
问题：用户在页面内跳系统设置授予定位权限再回来，GPS 监听不启动（必须退出重进页面）。
根因：permissionLauncher 回调是空的 { }，不更新 hasPermission 状态。
修复：回调里检查 FINE/COARSE 权限并更新 hasPermission，触发 DisposableEffect 启动 GPS 监听。
影响：用户授权后立即生效，无需退出重进。
 2026-08-14 09:27:00 +00:00
mckero aa10d4170c fix(radar): SwipeDeleteRow 倒计时期间重新拖拽后归零偏移 
问题：倒计时期间重新拖拽会取消 pending（正确），但 offsetX 仍是负值，行卡在滑开状态（要继续滑才能归位）。
根因：onDragStart 里只取消了 pending，没有归零 offsetX。
修复：onDragStart 取消 pending 的同时归零 offsetX。
影响：拖拽取消后行立即回到正常位置。
 2026-08-14 09:24:26 +00:00
mckero aac3aee4bb fix(radar): QRZ 网格回填后刷新列表显示 
问题：QRZ 爬虫异步回填网格后，列表里对应行不会立即显示网格（要等下次保存/删除操作才看到）。
根因：updateGridsquare 成功后没有触发 refreshTick++，UI 的 entries 列表不会重新计算。
修复：回填成功后调用 onSaved() 触发刷新。
影响：网格回填立即可见，改善用户体验。
 2026-08-14 09:22:05 +00:00
mckero d749c5ab48 fix(domain): WavelogQueue.updateGridsquare 添加同步锁 
问题：updateGridsquare 是唯一没有 @Synchronized 的修改方法，与 add() 并发（LogTab 主线程 add + 后台协程 updateGridsquare）会触发 read-modify-write 竞态，导致新 QSO 丢失。
修复：给 updateGridsquare 加 @Synchronized，与其他修改方法保持一致。
影响：消除数据丢失风险。
 2026-08-14 09:19:41 +00:00
mckero 082e0c5bff fix(radar): 防止 WaveLog 重复提交 QSO 
问题：键盘 onDone 连击会存两条相同的 QSO（时间戳/呼号/频率完全一致）。
修复：添加 submitting 状态变量，提交期间拒绝重复调用。
影响：误操作不再造成重复记录。
 2026-08-14 09:14:47 +00:00
mckero e69d6dee4a fix(radar): 修复 offset slider 拖动时多普勒计算用旧值 
问题：onValueChange 回调里 offsetHz 是派生状态的旧快照，拖动时计算的频率滞后一帧。
修复：在回调内立即从 newVal 计算 newOffsetHz，传给多普勒计算器。
影响：拖动 offset 时频率显示实时正确。
 2026-08-14 09:11:45 +00:00
mckero cf93ca9f71 fix(ui): 修复菜单布局的三个严重 bug 
Bug #1: moveToMain 误驱逐页面
- 根因：每次调用 moveToMain 都执行驱逐逻辑，即使页面本来就在主菜单
- 场景：拖拽主菜单内部顺序 → SettingsViewModel 遍历新顺序逐个调 moveToMain
  → 每次都判断 main.size > 5 → 误驱逐最后一个页面
- 修复：只在真正从 More 移到主菜单时才驱逐（加 wasInMore 标志位）

Bug #2: onReorder 传 resolve 输出污染状态
- 根因：SettingsScreen 拖拽回调传的是 resolve 输出（mainItems/subItems）
  而不是持久化输入（screenOrder/subMenuOrder）
- 场景：拖拽主菜单 → onReorder 传 [Radar, ..., Settings]（完整列表）
  → Settings 被显式存入 screenOrder → 下次 resolve 当作用户手动放置 → 参与驱逐逻辑
- 修复：
  1. 拖拽主菜单时过滤掉 Settings（锁定页面用默认位置，不存持久化）
  2. 另一个菜单用输入的 screenOrder/subMenuOrder，不用 resolve 输出

Bug #3: onReorder More 菜单传错参数
- 根因：拖拽 More 菜单时传的是 mainItems（resolve 输出），不是 screenOrder
- 修复：改用输入的 screenOrder

影响：修复前，拖拽主菜单会丢页面，移页面到主菜单可能导致 Settings 消失
 2026-08-14 00:43:23 +00:00
mckero 7cadded6ca fix(data): compute the OMM epoch day fraction numerically, not by string surgery 
排查页面顺序问题时顺带审计发现: OMM/CSV 历元在子夜后约 86 秒内会被解析成
完全错误的值, 且不抛异常 —— 静默的错误数据。

## 根因

DataParser.parseCSV 用字符串拼接构造历元:

    val frac = ((hour + min + sec + ms) / 86400000.0).toString().substring(1)
    val epoch = "${year.substring(2)}$day$frac".toDouble()

substring(1) 的意图是切掉 "0.123" 的前导 0。但 Double.toString() 在数值
小于 1e-3 时切换为科学计数法, 于是被切掉的是【有效数字】, 剩下的指数后缀
让整个字符串重新变成一个合法但语义完全错误的 double。

Kotlin 侧实测(单测失败信息):

    00:00:01.000  期望 25001.000011574073  实得 0.2500115740740741
    00:01:00.000  期望 25001.000694444443  实得 2.5001944444444444

与 JDK 侧独立验证逐位一致。00:01:26.4 之后 frac >= 0.001, 不再用科学计数法,
所以这个 bug 只在每天前 86.4 秒的历元上出现(约占 0.1%), Celestrak OMM 数据
里整分历元并不罕见。

## 影响

runCatching 抓不到(没有异常), 该卫星的 juliandDateOfEpoch 会推出 year=2000
day≈0, tsince 偏差约 26 年 —— 方位/仰角/过境预报彻底失效, 不是精度下降。
且用户无从察觉。

## 修复

改为数值相加, 不经过字符串:

    val dayFraction = (hour + min + sec + ms) / 86400000.0
    val epoch = "${year.substring(2)}$day".toDouble() + dayFraction

"25001".toDouble() + 0.0000115 = 25001.0000115, 无科学计数法风险。

## 验证

DataParserTest 新增 5 个历元回归测试(子夜整点/子夜后 1 秒/子夜后 1 分钟/
正午/当日最后一毫秒)。先确认前两个在旧实现下失败(failures=2), 修复后:

- DataParserTest 24 个测试全绿(原有 19 个无回归)
- :core:domain:test 全量 105 个测试 0 失败 0 错误
 2026-08-13 16:20:07 +00:00
mckero 6fc2f560b7 fix(nav): resolve the menu layout in core:domain so page order actually applies 
用户报告"把 AMSAT 从更多菜单移到主菜单没生效"。排查后发现这是两个互相
掩盖的 bug, 其中一个会让用户永久无法进入设置页。

## Bug 1 (致命): 移任意页进主菜单 -> 设置入口从所有菜单消失

对"主菜单上限 5"的定义两处不一致:
- SettingsScreen.kt:892 判断 mainItems.filter { it != "Settings" }.size >= 5,
  上限是【不含 Settings 的 5 个】, 于是认为 [Satellites,Passes,Radar,Map]
  还有空位, 直接追加 -> 共 6 项
- MainScreen.kt:165 的 .take(5) 上限是【含 Settings 的前 5 个】, 而 Settings
  排在最后 -> 被截断丢弃

结果 Settings 既不在底栏也不在更多菜单(它不在 subMenuOrder 里), 用户再也
进不去设置页, 无法自行改回, 只能清数据或重装。

## Bug 2 (用户报告): AMSAT / WavelogLog 移到主菜单被静默撤销

MainScreen.kt:161-163 给老用户补新页面的迁移逻辑【无条件执行】:

    .let { list -> if ("AMSAT" in list) list else list + "AMSAT" }

用户把 AMSAT 移出子菜单后 subMenuOrder 里没有它, 这段又加回去, 第 165 行
filter { it.screenId !in subOrder } 于是永远过滤掉 AMSAT。

副作用: 这个 bug 恰好把主菜单拉回 5 项内, 反而掩盖了 Bug 1 —— 所以用户只
看到"AMSAT 移不过去", 没触发"设置锁死"。

## Bug 3: 溢出页面凭空消失而非落入更多菜单

.take(5) 直接丢弃超出的页面, 它们既不在底栏也不在更多菜单。

## Bug 4: 设置页展示顺序与底栏实际顺序不一致 (WYSIWYG 失效)

两处各自实现排序: 设置页不做 take(5)、用 sortedWith 把 Settings 钉最后;
MainScreen 做 take(5)、Settings 位置由 screenOrder 决定。

## Bug 5: 更多菜单里 AMSAT / Roaming 当前页不高亮

MoreMenuPopup.kt:69-79 的 when (currentKey) 缺 AmSat 与 Roaming 分支,
MainScreen.kt:188-198 缺 Roaming 分支, 靠 else -> false 兜底, 新增页面时
不会有编译错误提醒。Screen 子类都是 data object, 直接用 currentKey == screen
即可, 新增页面自动生效。

## Bug 6: 设置页主菜单区不过滤 hiddenScreens

MainScreen 会过滤隐藏页, 设置页不过滤, 于是隐藏的页面仍占据设置页的位置且
"移出主菜单"按钮可点, 与底栏实际情况不符。

## 改动

新增 core/domain/navigation/MenuLayout.kt (纯 Kotlin, 为 KMP 就绪) 作为菜单
布局的唯一入口:
- resolve(): 持久化偏好 -> 底栏 + 更多菜单。先给 Settings 预留名额再截断,
  溢出页面落入更多菜单而非丢弃; 两个列表都没提到的页面按默认归位(升级不丢页)
- moveToMain() / moveToMore(): 移动语义集中一处, 拒绝把 Settings 移出

MainScreen 与 SettingsScreen 改为共用它, 删除双份实现与无条件迁移逻辑。

## 死代码清理 (每项已 grep 全仓库确认零引用)

- SettingsAction.ResetScreenOrder: 无任何派发点, 仅定义与 when 分支
- UiSettingsCard 的 onReorder 参数: 函数体内两个 DragOrderList 的 onReorder
  实参都调 onUpdateMenu, 从未调用该参数
- SettingsAction.ReorderScreens: 唯一引用是上面那个死参数
- MainScreen 的 navigateToRadar 参数: 函数体内唯一出现是注释掉的一行
- Navigation.kt 的 defaultScreenOrder / defaultSubMenuOrder: 迁移后零引用,
  默认值已在 MenuLayout 内

保留 entry<RadarDestination> 分支不动 —— RadarDestination NavKey 被
PassDetailsMatcher deeplink 使用。

## 验证

- MenuLayoutTest 13 个新测试全绿, 每个对应上面一个 bug 场景
- :core:domain:test 全量 100 个测试 0 失败 0 错误
  (DataParser 19 / Doppler 17 / Qth 8 / Transponder 7 / CwCtc 7 /
   CwDeepBuffer 13 / CwGolden 3 / CwSpectrogram 8 / MenuLayout 13 /
   WaveLogApi 5)
- :core:domain:compileKotlin + :core:presentation + :app +
  :feature:settings compileDebugKotlin => BUILD SUCCESSFUL
- 用 Python 复刻新规则重跑当初失败的全部场景: 5 个页面逐一移入主菜单,
  设置入口全部保住、页面无丢失; 隐藏页 + 移动组合无页面丢失; 幂等性通过
 2026-08-13 16:10:41 +00:00
mckero 8adf861ed7 chore(release): refresh 4.5.7 whats-new and bump versionCode to 461 
版本名保持 4.5.7 不变(用户要求覆盖同一个发行版, APK 文件名仍为
Look4Sat-Pro-4.5.7.apk)。

versionCode 460 -> 461: 手机上已安装 versionCode 460 的 4.5.7, 若 code
不变则覆盖安装会被系统拒绝。versionCode 对用户不可见。

pass_whatsnew_message 五语(en/zh/tr/in/id)补全本次全部改动, 之前只写了
DeepCW 那批, 本轮 UI 改动与 fp32 模型未包含:
- 内置完整版 fp32 模型
- 更多菜单改靠右窄面板
- CW 页移除无效返回键与误导性状态提示
 2026-08-13 14:49:36 +00:00
mckero f4f6ec7db5 feat(cw): ship the full fp32 DeepCW model instead of the int8 build 
用户要求内置完整版模型, 不要量化版。

assets/deepcw/model.onnx: 4,354,478 bytes (int8) -> 15,139,839 bytes (fp32)
sha256 ef120799457bca042d4690944f0faf93268eb4654e7f50f28784ad63bdc1fe02,
与上游 commit 8e264d2 发布的原始文件逐字节一致, 零修改。

实测验证(直接对仓库内的 asset 跑推理, 35 个场景):
- 信噪比: 干净 ~ -6 dB 全部逐字符正确; -9 dB 起显著劣化
- 速度: 12-45 WPM, 8 档中 7 档零错误 (40 WPM 推理仅 167ms)
- 音调: 450-1150 Hz 全窗口 6/6 零错误
- 频率漂移: +20/+60/+150/-300 Hz 全部 4/4 零错误 (卫星多普勒无忧)
- QSB 衰落: 6/12 dB 无损, 20 dB 深衰落 CER 23.5%
- QRM 同频干扰: 4/4 失败(会把干扰台内容一起解出), 全频段模型固有特性,
  实用时依赖电台窄带 CW 滤波器缓解
- fp32 vs int8 准确率打平(5 档中 4 档完全一致); 服务器 x86 上 fp32 推理
  耗时约为 int8 的一半(int8 动态量化的反量化开销在无 int8 加速指令的 CPU
  上反而更慢)。手机 ARM 侧表现待装机确认。

NOTICE.md / DEEPCW.md / README.md 同步更新: 移除 int8 量化派生的记录与复现
步骤, 改为声明未修改照搬上游。

代价: APK 体积约 59MB -> 70MB, 运行内存峰值上升。此前真机闪退的根因是 R8
缺 -keep ai.onnxruntime.** 规则(已修), 与模型大小无关。
 2026-08-13 14:48:56 +00:00
mckero 5d89190348 ui: slim the More menu and drop dead controls from the CW page 
用户反馈三处 UI 问题, 一并处理。

1. 更多菜单风格不符 + 遮盖感重
   - 去掉全屏 scrim 遮罩(0.35 alpha 压暗整页), 改为透明点击层, 点外部仍可关闭
   - Card 限宽 232dp 靠右下角, 从"全宽卡片"变成竖长条
   - 容器色 surfaceContainerHigh -> surfaceContainer, 与导航栏一致; 加 1dp 细边框
   - 动画从全屏 expandVertically + spring 弹跳改为右下角原点 150ms scaleIn
   - Card 加 clickable(enabled=false) 吞掉点击, 避免点卡片空白区误触关闭

2. CW 页左上角退出键点击无效 -> 删除
   根因: CwDecodeScreen(navigateUp: () -> Unit = {}) 是默认空实现, 而
   MainScreen 的 entry<Screen.CwDecode> 调用 CwDecodeScreen() 从未传入
   navigateUp, 所以点击必然无反应。按 AGENTS.md 无死代码原则删除按钮 +
   navigateUp 参数 + cw_back 字符串(五语)。

3. CW 页"正在监听"状态行在停止解码后仍显示 -> 删除
   estimatedPitch 在暂停后保留上次值, 状态行不会消失, 属误导。删除该 Text
   后 estimatedPitch / lastInferenceMs 两个 collector 成为死代码, 一并清理;
   cw_status_listening / cw_status_tone 字符串(五语)同步删除。
   signalStrength(瀑布图) 与 errorMessage(错误提示) 仍在用, 保留。

验证:
- :app:compileDebugKotlin + :feature:cw:compileDebugKotlin => BUILD SUCCESSFUL
- :core:domain:test => 31 个 CW 测试全绿 (7+13+3+8)
 2026-08-13 14:48:08 +00:00
mckero f9fd7a2cfa Move the LICENSING NOTICE to a separate NOTICE file so GitHub detects AGPL-3.0 
GitHub 的 license 检测器(licensee gem)要求 LICENSE 文件是纯许可证原文,
顶部加说明块会导致检测失败(显示 NOASSERTION/Other)。

根 LICENSE 恢复为纯 AGPL-3.0 原文(从 DeepCW-AGPL-3.0.txt 复制),
说明块移到根目录 NOTICE 文件(GitHub 也识别 NOTICE 文件)。
 2026-08-13 13:40:45 +00:00
mckero 21f14848da Merge origin/main (resolve CW fldigi vs DeepCW conflicts, keep DeepCW) 2026-08-13 13:39:13 +00:00
mckero d1668f1c27 docs(cw): update in-app "what's new" for the DeepCW release 
发版漏的一步: App 内检测到新版本时弹出的更新内容
(pass_whatsnew_message) 还停留在上一版 AMSAT/WaveLog 的说明,没写进本次
DeepCW CW 解码器的改动。

补上五语 (en/zh/tr/in/id) 的更新说明:
- DeepCW 神经网络 CW 解码 (弱信号解码率大幅提升)
- CW 解码历史永久保留
- CW 瀑布图 inferno 配色 + 平滑渐变
- 恢复 64 位 (arm64)
- 暂停/恢复误报修复
 2026-08-13 10:20:30 +00:00
mckero d6b61eaa4b license: switch the root LICENSE to AGPL-3.0 for the combined work 
用户指出 GitHub 上显示的许可证仍是 GPL-3.0,未反映合并 AGPL 组件的事实。

根因: 之前只在 README 加了 License 章节,根 LICENSE 文件仍是 GPL-3.0 原文,
GitHub 的自动检测(只扫 LICENSE 文件)自然还是 GPL-3.0。

修复: 合并作品按 GPL-3.0 §13 / AGPL-3.0 §13 处理,根 LICENSE 改为:
- 顶部 LICENSING NOTICE 说明构成 (Look4Sat 代码 GPL-3.0 + DeepCW 模型
  AGPL-3.0-only, 合并作品按 AGPL-3.0 分发)
- 正文为 AGPL-3.0 原文 (从 DeepCW-AGPL-3.0.txt 复制)

原 GPL-3.0 原文保留在 feature/cw/licenses/Look4Sat-GPL-3.0.txt。
README License 章节同步更新,与新 LICENSE 一致。

此后 GitHub 侧边栏将识别为 AGPL-3.0。
 2026-08-13 10:19:57 +00:00
mckero 26c714fc24 fix(cw): stop swallowing coroutine cancellation on pause/resume 
用户反馈: 暂停再恢复时经常弹出 "CW decode failed: The coroutine scope
left the composition"。

根因: 暂停 (isListening=false) 使 LaunchedEffect 重启、旧的采集协程被
取消。若此刻 decodeWindow 正在 withContext(Dispatchers.Default) 里做 ONNX
推理, 取消传播时会抛出 LeftCompositionCancellationException
(message 即 "The coroutine scope left the composition", 是 CancellationException
的子类)。processBuffer 的 catch (Throwable) 把它当成解码失败吞掉, 既误报了
错误横幅, 又破坏了协程取消的正常传播。

修复:
- processBuffer 的 decodeWindow catch 里, CancellationException 直接
  rethrow (暂停导致的中断是正常流程, 不是错误)。
- archiveDecode 调用同样包 try-catch, CancellationException rethrow,
  其余异常只记日志不崩溃。

这是协程的标准纪律: 永远不要把 CancellationException 当业务异常吞掉。

版本: 4.5.5 -> 4.5.7 (versionCode 460)。此前多次删 v4.5.5 tag 重打导致
release 页面累积 12 个 draft 草稿, 已全部清除。
 2026-08-13 09:55:15 +00:00
mckero 2e1d8b9c00 feat(cw): archive decoded history, polish the waterfall, document licensing 
三个用户反馈一并解决:

1. 解码文字不再消失 (核心)
   旧实现: 20 秒环形缓冲满了就静默覆盖最旧样本, 文字随之从屏幕消失。
   新实现: CwDeepBuffer 新增 overflow —— 满时被覆盖的旧样本先进 overflow,
   解码器累积到 15 秒就单独解码一次, 结果追加到 historyText (只增不减)。
   UI 记录区显示 historyText + decodedText (历史稳定 + 当前窗口实时)。
   ICwDecoder 接口新增 historyText StateFlow。

   归档音频已离开主窗口, 不再被 CTC 修正, 故其文本是"最终版", 追加安全。
   归档窗口 15 秒: 内容已在 20 秒窗口里解过多次, 短一点几乎无损, 且推理
   开销小。

2. 瀑布图更好看
   配色从"深蓝->青->黄"换成 matplotlib inferno (黑->紫->品红->橙->黄),
   与静态频谱图保持一致。相邻 bin 之间用水平渐变做线性插值, 消除 65 列
   离散方块的像素感。

3. AGPL 合规补漏 (用户提醒: 仓库许可证没体现 AGPL 组件)
   README 新增 License 章节: 声明项目主体 GPL-3.0 + feature/cw 的 DeepCW
   模型 AGPL-3.0-only, 并说明合并作品按 GPL-3.0 §13 / AGPL-3.0 §13 处理。

验证:
- :core:domain:test => 31 个 CW 测试全绿 (CwDeepBufferTest 新增 3 个
  overflow 归档测试: 顺序/清空/reset)
- :core:domain:compileKotlin + :core:data + :feature:cw:compileDebugKotlin
  => BUILD SUCCESSFUL
 2026-08-13 08:04:05 +00:00
Arty Bishop 7cdc2952dc v4.4.6 - AMSAT status page, fully customizable data sources 2026-08-13 09:47:26 +02:00
mckero f42d1f6c57 docs(cw): add DEEPCW.md recording DeepCW architecture, pitfalls, verification 
记录 feature:cw 模块的完整集成知识, 供后续维护者免于重走弯路:
- 架构分层 (core:domain 纯 Kotlin 前后处理 / core:data ONNX 推理 / feature:cw UI)
- 模型规格与 int8/fp32 双版本取舍 (APK 内置 int8, fp32 作为 release 资产)
- 真机 release-only 的五个坑 (R8 keep / 惰性加载 / 线程 / 跨线程状态 / 双录音)
- 验证结果 (golden vector 79 测试 / 服务器端到端逐字符一致 / 真机 40WPM)

该文档与 skill 的 §7.55 根因坑互为参照: skill 记方法论, 这里记本模块实况。
 2026-08-13 04:14:01 +00:00
mckero 3e25e1aa2f fix(cw): keep ai.onnxruntime.** through R8 to stop native crash 
根因定位(确定性): release 构建开启 R8 混淆 (convention 插件的
PluginSetupUtils 设 isMinifyEnabled=true), 但 onnxruntime-android 的 AAR
不含 proguard consumer rules (仅 aar-metadata.properties)。于是 R8 把
ai.onnxruntime.* 的类重命名/裁剪, 而 ONNX Runtime 的 Java 绑定走 JNI、
native 侧按原始类名/方法名解析 —— 类名对不上即 native 崩溃, 不产生
任何 Java 堆栈, 正好解释"闪退回桌面、无任何日志"。

此前的所有内存/线程修复都无效, 因为崩溃点根本不在 Java 层。

修复:
1. app/proguard-rules.pro 新增 (ONNX Runtime 官方文档要求):
   -keep class ai.onnxruntime.** { *; }
   -dontwarn ai.onnxruntime.**
2. app/build.gradle.kts 的 release buildType 引用该规则文件。
3. onnxruntime 1.28.0 -> 1.25.1: 1.28.0 为 2026-07-25 发布(仅三周),
   1.25.1 更成熟; 同时排除 SIGILL 类骁龙 bug (该 bug 在 1.24.4 修复,
   Android AAR 对应 1.25.0+)。

验证: 服务器完整管线 (真实20s音频->频谱->ONNX->CTC) 解码逐字符正确,
与手机端同一份代码逻辑。R8 keep 规则为官方文档明确要求项。
 2026-08-13 03:46:14 +00:00
mckero e0405b541f fix(cw): prevent double AudioRecord when toggling capture 
CwDecodeScreen 的 LaunchedEffect 原先用内层 launch{} 启动音频采集。
isListening 在权限授予后由 false->true->(授予回调再次置 true), 加上
LaunchedEffect(isListening, permissionGranted) 的双 key 重启, 会造成
前一个 audioFlow().collect 尚未取消、新的又启动 —— 两个 AudioRecord
同时录音, 内存翻倍、音频混叠, 是低内存机 OOM 崩溃的实锤级嫌疑。

改为在 LaunchedEffect 协程体内直接 collect (取消时随父协程及时停止),
并保持 (isListening, permissionGranted) 双 key 以正确处理权限授予后
需要重启采集的情形。

同时清理不再使用的 kotlinx.coroutines.launch import。

验证: :feature:cw:compileDebugKotlin => BUILD SUCCESSFUL
 2026-08-13 03:16:36 +00:00
mckero c374058e1d perf(cw): ship int8-quantized DeepCW model (15MB -> 4MB) 
用户真机闪退回桌面且无任何 Java 日志 => 高度怀疑进程被系统 LMK 杀掉
(内存不足) 或 native 层崩溃。模型加载 + ONNX 引擎初始化存在瞬时内存峰值,
fp32 模型 15MB 会放大这个峰值。

用 onnxruntime.quantization.quantize_dynamic 把模型权重动态量化为 QUInt8
(激活保持 float32):

- 体积: 15,139,839 -> 4,248,808 字节 (缩小 71%)
- 输入/输出名、形状、dtype 完全不变 -> Kotlin 代码无需改动
- 实测 CER (合成 CW 音频, fp32 vs int8 逐字符对比):
  SNR>=0dB 完全一致; -4dB 起两者一同劣化, 无显著差异
- onnx.checker 校验通过

AGPL 合规: NOTICE.md 记录派生信息 (原文件 SHA/量化后 SHA/转换步骤),
量化属模型修改, 按 AGPL 要求如实声明。复现命令已更新。

验证: :core:domain:test => 79 tests 全绿 (golden vector 测试锁定的是
频谱图前处理, 与模型文件无关)
 2026-08-13 01:02:04 +00:00
mckero ac5cbbc49a fix(cw): add crash probes to localize adb-less flash-crash 
闪回桌面且无任何 Java 日志 => 崩溃发生在 native 层 (ONNX 库内部段错误)
或进程被系统 LMK 直接杀掉 (内存不足) —— 两种情况 Java 的
uncaughtExceptionHandler 都不会触发, crash_log.txt 自然为空。

新增 CwProbe: 在关键节点向 files/probe_cw.txt 追加时间戳行:
  decoder_constructed -> load_begin -> load_session_ok / load_failed:<类名>
  -> infer_begin -> infer_done
进程若中途死亡, 最后一行的节点就是崩溃/被杀位置, 无需 adb 即可定位。

验证: :core:data:compileDebugKotlin => BUILD SUCCESSFUL
 2026-08-13 00:46:56 +00:00
Arty Bishop bd51044690 Added custom frequency offset setting to network reporting 2026-08-12 20:17:26 +02:00
mckero cf49dcfa01 fix(cw): persist decoder failures to files for adb-less diagnostics 
在服务器上完整复现了手机端流程 (真实 20s 含噪音频 -> 重采样 -> 频谱 ->
ONNX -> 贪心 CTC), 解码逐字符正确:
  decoded: [CQ CQ DE BG7NTA BG7NTA K 5NN TU 73]   (与参考完全一致)
整条链路逻辑无问题, 闪退属环境/平台层。

应用内已有全局崩溃捕获器 (MainApplication.installCrashHandler) 会把堆栈
写入 files/crash_log.txt —— 无需 adb 即可取到崩溃原因。

本提交为加载与推理两处异常补充落盘:
- 模型加载失败 -> files/deepcw_load_error.txt
- 推理异常 -> files/deepcw_infer_error.txt

用户可在文件管理器按
Android/data/com.rtbishop.look4sat.bg7nta/files/ 路径取回这些日志。

验证: :core:data:compileDebugKotlin => BUILD SUCCESSFUL
 2026-08-12 16:43:52 +00:00
PingouinFerreux 1982c2d3dc Fixed broken star history chart in README (#240) 2026-08-12 18:22:53 +02:00
mckero 5f297f9233 fix(cw): stop the waterfall crashing and cut APK size by 87MB 
三个真机实测暴露的问题:

1. 闪退 (给权限后 3-4 秒必崩, 且注入日志抓不到堆栈)
   CwWaterfallState 用 mutableIntStateOf 记录重绘版本号, 却从音频采集线程
   写入。Compose 快照状态只能在合成线程修改, 从后台线程写会在运行时崩溃 ——
   崩在 Compose 内部, 所以业务类的日志注入抓不到。
   改用 MutableStateFlow (本身线程安全), Canvas 侧 collectAsState 读取。

2. 同一状态的跨线程数据竞争
   pushSamples 在采集线程写 rows/pending, snapshot() 在绘制线程读, 而
   ArrayDeque 非线程安全 —— 并发 removeFirst()/toList() 会抛
   ConcurrentModificationException 或 IndexOutOfBoundsException。
   两侧统一加锁; FFT 计算放在锁外, 只有队列追加持锁。

3. APK 从 8.4MB 暴涨到 135MB
   onnxruntime-android 的 AAR 自带 4 个架构原生库: arm64 28M + armv7 20M +
   x86 33M + x86_64 34M = 115MB。上次提交移除 abiFilters 时把 x86 系列也
   打包了进去 (仅模拟器需要)。
   重新加上 abiFilters, 保留 arm64-v8a + armeabi-v7a 两个真机 ABI,
   预计降至约 43MB。注意这与上次"恢复 64 位"不冲突: 那次删的是只留
   armeabi-v7a 的限制, 这次是排除 x86 系列。

另外两处加固:
- CwDeepDecoder 的模型加载从 init{} 移入惰性 ensureLoaded(): 加载会触发
  ONNX Runtime 原生库装载, 失败时抛 UnsatisfiedLinkError; 在构造函数中抛出
  会连带崩掉创建它的 composable, try-catch 也救不回来。移到首次使用时执行,
  失败经 errorMessage 上报给 UI。
- ONNX 会话限制 intraOp 线程数为 (核数-1) 且上限 4, 给音频采集和 UI 留出
  余量, 默认行为会铺满所有核心。

验证:
./gradlew :feature:cw:compileDebugKotlin :core:data:compileDebugKotlin => 通过
./gradlew :core:domain:test => 79 个测试全绿
 2026-08-12 13:55:03 +00:00
mckero 37300fb2a6 revert: remove build-check workflow, use release.yml for testing 2026-08-12 13:18:08 +00:00
mckero fc8096bdd5 ci: add build-check workflow asserting DeepCW packaging facts 
本机 2GB 内存带不动 assembleRelease, 构建移交 GitHub Actions。
现有 release.yml 只在打 tag 时触发, 补一个可手动触发 + CW 分支推送即跑的
工作流, 便于装机实测而无需发布 tag。

断言的打包事实 (任一不满足即失败):
- lib/arm64-v8a/ 存在 —— 验证 abiFilters 解除生效, 应用恢复 64 位
- libnativedecoderjni 不存在 —— 验证被删的逆向 JNI 库未残留
- assets/deepcw/model.onnx 打包尺寸恰为 15139839 字节 —— 验证 noCompress
  生效, 未被压缩 (压缩会导致 ONNX Runtime mmap 失败)
- values-in / values-id 存在 —— 验证印尼语未被资源压缩丢弃

同时跑 :core:domain:test 与 assembleRelease (R8 检查), 产物上传为 artifact,
配置了签名 secrets 时对 release APK 签名。
 2026-08-12 13:12:15 +00:00
mckero d93e3b4028 feat(settings): credit DeepCW (AGPL-3.0) in the about section 
AGPL-3.0 要求署名。在设置页"关于"卡片的许可说明下方显示 DeepCW 模型的
作者 (e04)、许可证 (AGPL-3.0-only) 与上游仓库链接。

字符串标 translatable="false": 署名与许可证名称不应翻译。
完整声明见 feature/cw/licenses/NOTICE.md。

验证: ./gradlew :feature:settings:compileDebugKotlin => BUILD SUCCESSFUL
 2026-08-12 13:03:59 +00:00
mckero 9b0d543f12 refactor(cw)!: replace legacy CW engine with DeepCW in both entry points 
DeepCW 成为唯一 CW 解码内核, 不保留旧引擎作兜底 (用户决定: 完全移植)。

删除旧内核 (1298 行):
- CwDecoder.kt / CwBayesianDecoder.kt / CwChannelTracker.kt / CwSpectrogram.kt
- CwDsp / CwFFT / CwSTFFT / CwGoertzel / CwFilter / CwResampler.kt
- CwDecoderTest.kt
旧内核的自动定频与 squelch 门控由 DeepCW 的 400-1200Hz 固定频窗替代 ——
模型自带定频, 不再需要频谱峰值跟踪和噪声门。

两个 CW 入口都改接 DeepCW:
1. feature:cw 独立整页 CwDecodeScreen.kt 重写为纯 Compose (瀑布图 -> 实时行
   -> 历史区), 移除 AndroidView/LayoutInflater 和被删的 activity_main 布局;
   删除 CwSettingsDialog.kt (旧引擎的手动音调/带宽面板, DeepCW 全自动无需)
2. feature:radar 内嵌可折叠面板改走 ViewModel 的 CW state/action, 移除
   Morse Expert 控制器与 cw_panel_main 布局
   (该面板此前注释写明 "no longer feeds it", ViewModel 里的 CW 通路是死代码)

新增 CwWaterfall.kt: 复用 CwDeepSpectrogram 绘制瀑布图, 显示的正是模型
分析的 400-1200Hz 频段与同一批幅值。

接口接线:
- IMainContainer.provideCwDecoder() 提供 ICwDecoder (实现需 Context 读 assets)
- RadarViewModel 构造新增 cwDecoderFactory, onCleared() 中 close() 释放
  OrtSession 避免原生内存泄漏
- 删除已无调用方的 RadarAction.CwSetToneFreq (DeepCW 定频固定, 无参数可调);
  CwSubState.cwToneFreq 语义改为只读显示检测到的音调

依赖清理:
- feature:radar 不再依赖 feature:cw 与 constraintlayout
- feature:cw 不再依赖 constraintlayout

字符串: feature:cw 清理 Morse Expert 遗留串 (premium/rate/help/
tap_back_again_to_close/purple_500), 按 en/zh/tr/in/id 五语补全新串;
core:presentation 补 radar_cw_tone / radar_cw_waiting 五语。

验证:
./gradlew :core:domain:test => 4 个测试类全绿
./gradlew :feature:cw:compileDebugKotlin => BUILD SUCCESSFUL
./gradlew :feature:radar:compileDebugKotlin => BUILD SUCCESSFUL
./gradlew :core:data:compileDebugKotlin => BUILD SUCCESSFUL
 2026-08-12 13:00:25 +00:00
mckero 57762613a8 feat(cw): add CwDeepDecoder wiring ONNX Runtime to the CW pipeline 
组装完整解码链路: 麦克风 PCM -> 重采样 3200Hz -> 20 秒滚动缓冲 ->
频谱图 -> ONNX 推理 -> 贪心 CTC -> 文本。

ICwDecoder 放 core:domain (纯 Kotlin, UI 可直接依赖), 实现放 core:data
(需要 Android Context 读 assets 及 ONNX Runtime 原生库)。

关键设计:
- decodedText 是替换语义不是追加: 模型会随上下文增加改写先前字符, 追加
  会把中间态 (BM -> BG7 -> BG7NTA) 永久留在屏幕上
- 推理用 Mutex.tryLock 串行化: 上一次未完成时直接跳过本周期, 慢设备不会
  堆积任务导致 OOM
- 推理在 Dispatchers.Default, 不阻塞音频采集线程
- 模型元数据从 model.onnx.json 读取 (字符表/blank 索引/输入输出名), 不在
  代码里硬编码, 模型更新时无需改代码
- lastInferenceMs 打点: 手机实际推理耗时需真机实测 (估算系数待验证)
- estimatedPitch 由频谱峰值 bin 反算, 仅供 UI 显示 —— 模型 400-1200Hz
  固定窗自带定频, 不需要频谱峰值跟踪参与解码
- 模型加载失败时 errorMessage 置位 (旧内核已删, 无兜底可退)
- close() 释放 OrtSession, 否则原生内存泄漏

验证:
./gradlew :core:data:compileDebugKotlin => BUILD SUCCESSFUL
 2026-08-12 12:26:42 +00:00
mckero 13ef70810c test(cw): pin DeepCW front-end to the Python reference with golden vectors 
把 Kotlin 前处理锁定到上游 deepcw-engine 的 Python 参考实现。

golden_spec.txt 由参考实现自身的预处理代码生成 (numpy reflect padding,
np.hanning(N+1)[:-1], np.fft.rfft, log1p), 覆盖一段确定性测试音频:
700Hz 方波键控的字母 C, 20WPM, 源采样率 8000Hz。两侧用同一个确定性公式
各自合成音频, 因此只需锁定频谱图结果, 无需落盘音频。

为何必要: 前处理只要有细微偏差 (窗函数用 symmetric 而非 periodic、padding
模式不对、bin 边界差一位), 模型仍会输出看似合理的文字, 实际全是乱码, 在
下游极难定位。此测试守住整条链路的入口。

验证:
./gradlew :core:domain:test --tests '*CwDeepGoldenVectorTest*'
=> tests="3" skipped="0" failures="0" errors="0"
77 帧 x 65 频段 = 5005 个数值逐一比对, 最大偏差在 1e-4 容差内;
重采样长度 9120@8000Hz -> 3648@3200Hz 与参考一致。
 2026-08-12 12:21:26 +00:00
mckero 6a62f951ad feat(cw): add 20s rolling buffer with periodic full re-decode 
DeepCW 是整段 CTC 批处理模型, 不能像传统 DSP 那样逐样本流式输出。

实测否决了滑动窗口+增量拼接方案。整段批处理 CER 0.0%, 而所有窗口/步进
组合最好仅 67.6%, 最差 294.1% (呼号被重复三遍)。根因是模型每获得更多
上下文就重写已输出内容 —— 同一音频逐渐加长时 11 次采样有 6 次修正前缀
(BM -> BG7 -> BG7NTI -> BG7NTA), 任何"只追加增量"策略都会把这些中间态
永久留在屏幕上。

改为: 固定 20 秒滚动缓冲 + 每 1.5 秒重解全量 + 整体替换显示。

参数由实测定案, 是两条约束的交点:
- 准确率侧: 20s 是达到 0.0% CER 的最小窗口 (16s 仍有 5.9%)
- 算力侧: 耗时超线性增长, 60s 音频推理耗时约为 20s 的 13 倍, 实时余量
  不足; 20s 时余量约 13 倍, 安全

实现: 环形缓冲, snapshot() 返回按时序展开的副本 (调用方无法污染内部
存储), append() 返回是否该触发重解。

验证:
./gradlew :core:domain:test --tests '*CwDeepBufferTest*'
=> tests="10" skipped="0" failures="0" errors="0"
含断言: 容量封顶、最旧样本先丢、环绕后时序正确、超容量分块只留尾部、
重解间隔不漂移 (150 个 100ms 分块恰好触发 10 次)、snapshot 不共享内存
 2026-08-12 12:13:55 +00:00
mckero 0d3e02c596 feat(cw): add greedy CTC collapse for DeepCW output 
把模型 log_probs [batch,time,42] 输出折叠成文本, 对齐参考实现
greedy_ctc_decode: 逐帧取 argmax, 去 blank, 再去连续重复标签。

blank 的作用: 两个相同字母之间的 blank 是保住真实双字母的关键
(例如 "5NN" 的两个 N), 否则会被折叠成一个。

验证:
./gradlew :core:domain:test --tests '*CwCtcDecoderTest*'
=> tests="7" skipped="0" failures="0" errors="0"
含断言: 连续重复折叠、blank 隔断保留双字母、呼号 "CQ BG7" 含空格与数字
 2026-08-12 12:07:50 +00:00
mckero 7c22bf6ac1 feat(cw): add pure-Kotlin DeepCW spectrogram front-end 
DeepCW 音频前处理的 Kotlin 实现, 逐步对齐上游 Python 参考实现
(deepcw-engine examples/python/decode_morse.py):

  线性重采样 -> 3200Hz, 反射 padding(128), periodic Hann(256),
  radix-2 FFT, 取 bin [32,97) 共 65 个 (400-1200Hz), log1p 归一化

实现要点:
- Hann 窗用 periodic 变体 (numpy np.hanning(N+1)[:-1]), 不是 symmetric,
  否则频谱与参考实现有偏差
- 反射 padding 不重复边界样本 (numpy mode="reflect" 语义)
- 自带 radix-2 Cooley-Tukey FFT, 不引入第三方 DSP 依赖 (FFT_LENGTH 为
  2 的幂, 无需补零分支)
- 放 core:domain: 无 Android 依赖, 可 JVM 单测, 保持 KMP 可迁移

模型 400-1200Hz 固定频窗意味着定频内建, 无需频谱峰值跟踪与 squelch 门控 ——
这正是旧内核最大的两个坑。

验证:
./gradlew :core:domain:test --tests '*CwDeepSpectrogramTest*'
=> tests="8" skipped="0" failures="0" errors="0"
含断言: 700Hz 正弦峰值落在相对 bin 24; 8000->3200Hz 重采样后频率不变
 2026-08-12 12:05:13 +00:00
mckero b8113fc757 build(cw): add onnxruntime-android 1.28.0 to core:data 
DeepCW 模型推理需要 ONNX Runtime。该依赖属 Android 平台依赖 (AAR 内含
各 ABI 原生库), 因此放 core:data 而非 core:domain —— 后者按 AGENTS.md
须保持纯 Kotlin/JVM 以留 KMP 迁移余地。

版本固定为 1.28.0 不使用范围区间: release 构建走 R8, 避免依赖意外升级
引入行为变化。

验证:
./gradlew :core:data:dependencies --configuration releaseRuntimeClasspath
=> \--- com.microsoft.onnxruntime:onnxruntime-android:1.28.0
=> BUILD SUCCESSFUL in 3m 48s
 2026-08-12 11:52:47 +00:00
mckero 86ab1b26b7 feat(cw): vendor DeepCW ONNX model with full AGPL-3.0 compliance 
背景:
DeepCW (e04/deepcw-engine) 是基于 CTC 的神经网络 CW 解码模型。本地实测
弱信号解码率显著优于传统 DSP 方案: SNR<0dB 时 CER 16.0% vs ggmorse 52.6%;
SNR>=0dB 时两者均接近 0%。模型 400-1200Hz 固定频窗自带定频, 无需频谱峰值
跟踪与噪声门。

改动:
- assets/deepcw/model.onnx      15,139,839 字节, 原样收录未作修改
- assets/deepcw/model.onnx.json 模型元数据 (采样率 3200, FFT 256, hop 48,
  65 个频段, log1p 归一化, 42 类含 CTC blank)
- licenses/DeepCW-AGPL-3.0.txt  AGPL-3.0 许可证全文
- licenses/NOTICE.md            来源仓库/作者/取用 commit/SHA-256/
  许可证兼容性说明/复现步骤
- app/build.gradle.kts: androidResources.noCompress += "onnx"

关于 noCompress:
ONNX Runtime 通过 mmap 直接读取 assets, 压缩后无法内存映射, createSession
会失败。该配置只在打包 APK 的 app 模块生效, 在 feature 库模块声明无效。

许可证:
Look4Sat 为 GPL-3.0-or-later, DeepCW 模型为 AGPL-3.0-only。GPL v3 第 13 条
明确允许两者合并分发。推理完全在本地设备进行, 不通过网络向远程用户提供
模型功能, 故 AGPL 第 13 条的网络源码提供义务不被触发。本仓库公开, 完整
对应源码提供义务已满足。

上游取用 commit: 8e264d243bbd4467bd19f3f28292219405b47e0e
模型 SHA-256: ef120799457bca042d4690944f0faf93268eb4654e7f50f28784ad63bdc1fe02
 2026-08-12 11:47:02 +00:00
mckero de6c964136 build!: drop armeabi-v7a abiFilters, restore 64-bit builds 
背景:
abiFilters=armeabi-v7a 的唯一成因是 Morse Expert 的 32 位
libnativedecoderjni.so, 该 .so 已在上一提交删除。此前整个应用被迫以
32 位运行: 64 位设备走兼容层、寻址受限, 且不满足应用市场的 64 位要求。
原注释称"用户设备为 32 位软件"已与实际不符 (测试机为 64 位)。

改动:
- app/build.gradle.kts: 移除 defaultConfig.ndk.abiFilters 及相关注释
- feature/cw/build.gradle.kts: 移除 abiFilters; 移除 constraintlayout 依赖
  (仅被已删除的 activity_main.xml 使用); 移除 UTF-8 JavaCompile 配置
  (模块已无 Java 源码)
- feature/cw 改为依赖 core:domain + core:data (DeepCW 前后处理落在 core)

验证:
grep -rn 'abiFilters|jniLibs' --include=*.kts . (排除 build/) => 无匹配
APK ABI 覆盖将在 CI 产物中验证 (预期含 arm64-v8a)
 2026-08-12 11:44:54 +00:00
mckero e477851adf refactor(cw)!: remove reverse-engineered Morse Expert engine and 32-bit JNI blob 
背景:
feature/cw 内含 Morse Expert 1.15 (VE3NEA, 闭源免费软件) 的 jadx 反编译产物,
外加仅 armeabi-v7a 的 libnativedecoderjni.so (1.4MB)。该 .so 无 64 位版本,
迫使 app 模块设置 abiFilters=armeabi-v7a, 把整个应用锁死在 32 位。
闭源软件的反编译产物不具备任何分发授权。

改动 (共 58 项):
- 删除 pas/* (JNI 入口 nativedecoder/decoder/cwstru/system)
- 删除 com/ve3nea/morse_expert/* (MainActivity/DecodedTextView/ScaleView/
  WaterfallSurfaceView)
- 删除混淆包 B B0 D E2 F2 H2 I0 I2 J2 K1 d1 g3 i3 j1 j3 k3 s
- 删除 suncompat/* (sun.misc.Unsafe/Cleaner 存根)
- 删除 jniLibs/armeabi-v7a/libnativedecoderjni.so
- 删除配套 layout (activity_main, cw_panel_main)、menu、4 个 ic_baseline_* 图标
- proguard-rules.pro 清空 keep 规则 (已无 JNI 按类名注册依赖)

验证:
find feature/cw/src -name '*.java' | wc -l   => 0
find feature/cw/src -name '*.so'   | wc -l   => 0
git ls-files feature/cw 仅剩 build.gradle.kts, proguard-rules.pro,
CwDecodeScreen.kt, CwSettingsDialog.kt 及 5 份 app_values.xml

注意: 本提交后 CwDecodeScreen.kt 暂时无法编译 (它 inflate 了已删除的
R.layout.activity_main), 将在 DeepCW 内核接入后重写为纯 Compose。

后续: DeepCW ONNX 内核接入 (纯 Kotlin 前后处理), abiFilters 解除恢复 arm64。
 2026-08-12 11:42:53 +00:00
mckero d2d4a6fe86 chore(git): ignore .keystore files and the Hermes workspace 
*.jks 已被忽略, 补上 *.keystore 覆盖另一种签名库扩展名。
.hermes/ 是 agent 的本地计划目录, 不属于项目产物。

背景: BG7NTA.jks 位于仓库根目录, 此前仅依赖 *.jks 规则; 补充规则以防
其他扩展名的签名材料被误提交进公开仓库。
 2026-08-12 11:40:54 +00:00
Arty Bishop 2f4e3f5802 Added the ability to fully customize data sources via import 2026-08-12 13:01:45 +02:00
Arty Bishop 24eebdef74 Consolidated app dialogs and tweaked bottom sheets 2026-08-11 14:14:14 +02:00
Arty Bishop 3f5b48f270 Integrated the AMSAT status page created by MCKero6423 2026-08-11 14:05:55 +02:00
atsunatsuandatsunatsu 060fa2dfcd Added remembering per-satellite doppler offset (#237) 
Co-authored-by: atsunatsu <atsunatsu@users.noreply.github.com>
 2026-08-11 14:02:15 +02:00
mckero c42e1d7b4e fix(wavelog): send real ADIF band + sat_mode, not the illegal "SAT" 
Satellite QSOs uploaded with BAND=SAT, which is not a legal ADIF Band
enumeration value (the legal values are concrete bands: 160M/80M/.../
2M/70CM/23CM...). Loggers that fail to parse an unknown band fall back
to a default — observed as QSOs landing in 160m. SAT is only legal as
PROP_MODE (propagation mode), which is already sent for v1.

Changes (WaveLogApi):
- bandFromHz(): map TX frequency to the real ADIF band (2M for VHF,
  70CM for UHF, etc.)
- satModeFrom(): derive the ADIF SAT_MODE convention string from TX/RX
  bands ("V/U" = VHF up / UHF down, "U/V", "V/S", "U/S"...; empty for
  same-band links)
- v2 JSON: band=<real band>, add sat_mode when non-empty
- v1 ADIF: <band:> real band, add <sat_mode:> when non-empty;
  PROP_MODE=SAT kept

Verification:
- New tests: SO-50 (145.850 up / 436.795 down) -> band 2M, sat_mode V/U;
  AO-73 (435.150 up / 145.950 down) -> band 70CM, sat_mode U/V;
  same-band -> empty sat_mode; satellite freqs never map to 160M.
- All wavelog payload tests + full domain suite green.
 2026-08-09 07:48:15 +00:00
mckero 09ebf1f39a feat(cw): add spectral auto-tune so the decoder finds the CW tone 
The fldigi port ran a fixed 600 Hz NCO, so any real signal not inside
600±75 Hz (the 150 Hz filter passband) decoded nothing — the decode rate
was effectively zero unless the tone happened to be on frequency. This
mirrors the behaviour of the removed channelTracker: a sliding spectral
peak detector now steers the NCO to the strongest tone.

Changes:
- Collect raw input, run a 512-pt Hann-windowed FFT every frame, find
  the strongest bin in 300..1500 Hz (CW range), smooth-track it.
- First strong peak locks immediately (no RX reset, so the triggering
  element survives); later large jumps (>120 Hz) retune and reset the
  fldigi state machine; small drifts are eased at 20%.
- Absolute energy floor (peak < 30) so silence/noise never steers.
- estimatedPitch now reflects the tracked tone frequency.

Verification:
- New unit test: 900 Hz "CQ" with decoder initialized at 600 Hz decodes
  correctly and pitch moves to ~900 Hz.
- All 9 decoder tests pass; full domain/cw/radar test suites green.
 2026-08-09 05:04:48 +00:00
atsunatsuandatsunatsu 8b5960282f Broaden linear transponder detection, logic fixes (#236) 
Co-authored-by: atsunatsu <atsunatsu@users.noreply.github.com>
 2026-08-08 21:31:44 +02:00
mckero ec40f29f28 fix(cw): make the waterfall redraw as new spectra arrive 
The waterfall backed its pixels with a plain FloatArray and never
signalled Compose, so the Canvas drew once (empty) and stayed frozen —
no spectrum ever appeared. Add a monotonic frame-counter State that
pushSamples bumps per FFT frame; the Canvas reads it in composition to
trigger redraws. Also switch to log-ish intensity scaling so quiet bins
stay dark while strong CW tones pop, matching the DeepCW look.

Applies to both the CW decode screen and the radar transceiver panel.
 2026-08-08 15:04:12 +00:00
mckero 5dd7a35a23 fix(cw): remove unused legacy drawables that fail release resource linking 
ic_baseline_delete/pause/save/share_24.xml were leftovers from the
Morse Expert View-based UI. They reference ?attr/colorControlNormal
which does not resolve in the release variant (no Material dependency
in feature:cw), breaking assembleRelease. The new Compose UI uses
icons from core:presentation, so these files are dead code.
 2026-08-08 14:45:10 +00:00
mckero 4b835bac5c feat(cw): replace reversed Morse Expert engine with a pure-Kotlin fldigi port 
Background:
The CW decoder previously shipped a decompiled copy of the proprietary
Morse Expert 1.15 (com/ve3nea/morse_expert + obfuscated classes,
libnativedecoderjni.so, suncompat black-magic) — a copyright liability.
This removes all of it and reimplements the decoder on the open-source
fldigi (GPL v3) CW engine as a faithful pure-Kotlin port with no JNI.

Changes:
- Delete all Morse Expert reverse-engineered code: MainActivity,
  obfuscated packages (B/B0/D/E2/...), suncompat/, pas/nativedecoder,
  armeabi-v7a libnativedecoderjni.so, and the original View-based layouts
  (activity_main, cw_panel_main, options_menu).
- Add a full fldigi CW pipeline in core/domain/cw:
  - CwFldigiDsp: NCO down-conversion, FFT filter, movavg constants
  - CwFftFilt: overlap-add FFT band-pass filter (fftfilt port)
  - MorseTable + SomTable: full Morse code table + SOM codebook
  - CwFldigiDecoder: decode_stream AGC + hysteresis, state machine,
    adaptive speed tracking (5-55 WPM), SOM winner/normalize matching
- Rewrite CwDecodeScreen as pure Compose (DeepCW-style waterfall,
  live decode line, history, status cards) and CwSettingsDialog
  (speed/bandwidth/SOM) with no View interop.
- Replace the Morse Expert panel in TransceiversPage with a Compose
  panel driving the same decoder; mic capture at 8000 Hz.
- Drop the forced armeabi-v7a abiFilters now that no native lib exists.

Verification:
- 8 unit tests pass (CQ/HELLO at 18-20 wpm, A-J at 30 wpm with
  adaptive tracking, dot/dash/Farnsworth edge cases) — all decode
  correctly from synthesized CW.
- :feature:cw and :feature:radar compile; app assembleDebug succeeds.
- APK contains no ve3nea/nativedecoder/morse_expert classes.
 2026-08-08 13:58:19 +00:00
mckero 10eb84690e Added AMSAT satellite status tracking page (#234) 2026-08-08 14:26:36 +02:00
atsunatsuatsunatsuwty2019wty
 		bf25292bf8 Fixed recalculating Radar track on station position change (#235) 
Co-authored-by: atsunatsu <atsunatsu@users.noreply.github.com>
Co-authored-by: wty2019wty <74123961+wty2019wty@users.noreply.github.com>
 2026-08-08 14:10:55 +02:00
mckero 284183836e refactor(amsat): replace hand-rolled date parsing with SimpleDateFormat 
Addresses @AlanCui4080's review feedback about the manual date calculation.
Uses SimpleDateFormat to eliminate the hand-written calendar math (regex +
days-from-epoch calculation). Avoids java.time since it requires desugaring
on minSdk 24, keeping dependencies minimal.

Before: 23 lines of manual day-from-epoch calculation
After: 7 lines using SimpleDateFormat

Ref: https://github.com/rt-bishop/Look4Sat/pull/233#discussion_r1868599947
 2026-08-05 17:02:01 +00:00
mckero de85aa1e8b refactor(amsat): align with Material3 conventions per PR #233 review 
Addresses feedback from rt-bishop/Look4Sat#233:

1. Migrate hardcoded colors to MainTheme colorScheme
   - Extend darkScheme: tertiary (Active 0xFF648FFF), tertiaryContainer (Telemetry 0xFFFFB000)
   - Extend lightScheme: tertiary (0xFF3C6FE0), tertiaryContainer (0xFFE09800) for contrast
   - Remove top-level Color() constants from SatStatusScreen.kt
   - Add statusColorOf() mapper using MaterialTheme.colorScheme

2. Move HTTP implementation from domain to data layer (Clean Architecture)
   - Delete AmSatApiClient.kt from core:domain (violates AGENTS.md: "Pure Kotlin, NO Android deps")
   - Migrate to IRemoteSource/RemoteSource in core:data (uses existing OkHttp3)
   - AmSatRepository now depends on IRemoteSource instead of AmSatApiClient

3. Inline JSON parsing (prepare for java.time migration)
   - Parse AMSAT API responses (names, reports) in AmSatRepository
   - Time parsing still uses manual logic (java.time desugaring in follow-up)

Before:
  - Hardcoded Color(0xFFXXXXXX) in UI + Repository (no theme support)
  - HttpURLConnection in domain layer (architecture violation)
  - AMSAT colors duplicated across modules

After:
  - MaterialTheme.colorScheme.tertiary/tertiaryContainer (light/dark adaptive)
  - HTTP via data layer RemoteSource (follows AGENTS.md architecture)
  - Single source of truth for AMSAT colors

Ref: https://github.com/rt-bishop/Look4Sat/pull/233#discussion_r1868599947
Ref: AGENTS.md "core:domain - Pure Kotlin (JVM). NO Android dependencies."
 2026-08-05 15:26:42 +00:00
mckero fb014a1183 chore(release): bump versionCode to 458 (4.5.5 upload fixes) 2026-08-05 11:28:53 +00:00
mckero 78049a29d9 fix(wavelog): persist gridsquare in the queue serialization 
WavelogQueue serialized and deserialized every field except
gridsquare: updateGridsquare() wrote it, but save() skipped
put("gridsquare") and all() never read it back, so the QRZ-backfilled
grid was always empty at upload time (GRIDSQUARE never made it into
the ADIF). Add both directions.
 2026-08-05 11:17:47 +00:00
Arty Bishop 8fbfcb3712 v4.4.5 - Pass progress hotfix, swapped modes/filter dialogs 2026-08-05 13:14:50 +02:00
mckero 3818c58eff fix(wavelog): send v2 extra freq fields as MHz strings with unit suffix 
WaveLog's parse_frequency() (Logbook_model.php) treats integer input
as Hz but reads string suffixes ("145.852038M" -> 145852038 Hz).
The bare-integer freq/freq_rx values in the v2 JSON envelope could be
misread as MHz by older WaveLog versions, corrupting the band
derivation (145.852 MHz showed up as 160m). ADIF string (v1/v2) was
already correct; now the extra fields match the same semantics.
 2026-08-05 11:09:51 +00:00
mckero 4c62b2dfb2 Revert "feat(nav): 4.5.6 AMSAT to bottom bar, Radar to More menu, tablet rail" 
This reverts commit d8e1ee3266.
 2026-08-05 10:07:45 +00:00
mckero d8e1ee3266 feat(nav): 4.5.6 AMSAT to bottom bar, Radar to More menu, tablet rail 
Per upstream author feedback (PR #233) and tablet UX report:
- Bottom bar keeps max 5 primary destinations: Satellites/Passes/
  AMSAT/Map/Settings; Radar moves to the More menu (still reachable
  from Passes via item click)
- Legacy migration: persisted orders are rewritten in memory
  (main menu drops Radar + appends AMSAT; More menu drops AMSAT +
  appends Radar) so existing installs get the new layout
- Wide screens / tablets (width breakpoint) now use the side
  navigation rail instead of the bottom bar - fixes the wasted
  bottom strip ("big chin") in landscape/tablet layouts
- New AMSAT tab icon: MDI satellite-variant (Apache 2.0,
  https://pictogrammers.com)
- What's new updated in 5 locales; version 4.5.6 (457)
 2026-08-05 09:46:54 +00:00
mckero 90bb584813 fix(status): drop appcompat tint attr from ic_refresh (library module has no such attr) 2026-08-05 08:53:05 +00:00
mckero f789a15338 fix(status): AMSAT page load failure, refresh spinner, retry button 
- P0: fetchStatus() now runs on Dispatchers.IO - the previous
  synchronous URLConnection on the main thread threw
  NetworkOnMainThreadException and showed "load failed" on every open
- P1: refresh button rotates a vector icon (ic_refresh) instead of the
  "↻" text glyph, whose off-center font metrics made the spinner
  orbit around a shifted pivot
- P2: error state gains a Retry button (4 locales); amsat_refresh
  string added (5 locales)
- versionCode 456 (bump for reinstalling over 455), versionName stays 4.5.5
 2026-08-05 08:50:01 +00:00
mckero 6221516893 feat(amsat): 4.5.5 official AMSAT API + edge-to-edge status page 
- Replace HTML parsing with the official AMSAT Satellite Status API v1
  (catalog.php + reports.php, JSON): AmSatApiClient (pure JVM, hand
  rolled ISO-8601/epoch parsing for minSdk 24) + rewritten
  AmSatRepository (satellite list from catalog, reports slotted into
  6 days x 12 two-hour slots, status colors per report value)
- Fix edge-to-edge: status bar / navigation bar insets on the status
  page (refresh button and update time were unreachable)
- Version 4.5.5 (455), What's new in all 5 locales
 2026-08-05 08:12:17 +00:00
mckero c9cab8457d chore(i18n): translate all code comments to English 
All Chinese comments (//, /* */, KDoc) across core/app/feature/build-
logic translated to English (550 lines, 73 files after FT8 rollback).
Code logic untouched - comment text only. Verified: all modules
compileDebugKotlin BUILD SUCCESSFUL.
 2026-08-05 07:59:35 +00:00
mckero 19926c58ac Revert "feat(ft8): 4.5.5 integrate FT8CN 0.93 (full port, original UI)" 
This reverts commit 8a2b0a9aa3.
 2026-08-05 07:47:18 +00:00
mckero 955871c27b Revert "fix(ft8): register FT8 in settings page-order list (UI settings)" 
This reverts commit 4d7952d293.
 2026-08-05 07:47:17 +00:00
mckero bfcef27b90 Revert "docs(credits): thank BG7YOZ (FT8CN author) and BG7NIP in all locales" 
This reverts commit 7dd256f65d.
 2026-08-05 07:47:17 +00:00
mckero 449d1a9eec Revert "fix(ft8): unify osmdroid version to fix duplicate classes" 
This reverts commit fc1bec1915.
 2026-08-05 07:47:17 +00:00
mckero fe97339ece Revert "fix(ft8): repair FT8CN locale string resources for AGP9 strictness" 
This reverts commit 2c26272e0b.
 2026-08-05 07:47:17 +00:00
mckero 4d5a413fa8 Revert "fix(ft8): remove application tag from module manifest (merge conflict)" 
This reverts commit f4a22d9779.
 2026-08-05 07:47:17 +00:00
mckero 25078b3121 Revert "fix(ft8): remove application tag from module manifest (merge conflict)" 
This reverts commit 84d11f289f.
 2026-08-05 07:47:17 +00:00
mckero 96a4d15424 Revert "fix(ft8): restore Look4Sat Pro label/icon, add AppCompat theme" 
This reverts commit bf4cd5c07c.
 2026-08-05 07:47:17 +00:00
mckero bf4cd5c07c fix(ft8): restore Look4Sat Pro label/icon, add AppCompat theme 
User reported the app installed as "FT8CN" with the FT8CN icon and
FT8 not opening. Root causes (verified by aapt badging on the release
APK):
1. module values/strings.xml carried <string name="app_name">FT8CN
   which won the resource merge -> application-label became FT8CN.
   Removed it; dialogs that referenced R.string.app_name now use a
   module-local ft8cn_app_name (HelpDialog/ClearCacheDataDialog).
2. module shipped its own mipmap ic_launcher* (8 files) which
   overrode our launcher icon -> deleted all of them.
3. MainActivity extends AppCompatActivity but the module's
   <application> lost android:theme when the conflicting attributes
   were stripped -> startup crash. Re-added android:theme=Theme.Ft8CN
   (MaterialComponents) on the module application element.
Verified: processReleaseManifest/Resources + ft8 javac + app kotlin
BUILD SUCCESSFUL. Plan: .hermes/plans/2026-08-05_150000-v455-fix-plan.md
 2026-08-05 06:52:13 +00:00
mckero 84d11f289f fix(ft8): remove application tag from module manifest (merge conflict) 
feature/ft8 module manifest carried an application element from the
FT8CN standalone app (allowBackup/icon/label/usesCleartextTraffic),
clashing with the main app manifest at merge (allowBackup false vs
true, icon, label). Removed the tag - components (activities, service,
permissions) remain and merge cleanly. Verified: processRelease-
MainManifest + mergeReleaseResources BUILD SUCCESSFUL.
 2026-08-05 06:33:54 +00:00
mckero f4a22d9779 fix(ft8): remove application tag from module manifest (merge conflict) 
feature/ft8 module manifest carried an application element from the
FT8CN standalone app (allowBackup/icon/label/usesCleartextTraffic),
clashing with the main app manifest at merge (allowBackup false vs
true, icon, label). Removed the tag - components (activities, service,
permissions) remain and merge cleanly. Verified: processRelease-
MainManifest + mergeReleaseResources BUILD SUCCESSFUL.
 2026-08-05 06:29:21 +00:00
mckero 0e767f4250 feat(wavelog): QRZ grid lookup, LoTW satellite list refresh, RST 59 
User-prioritized WaveLog fixes (4.5.5, commit-only per instruction):

- QRZ 对方网格爬虫: QrzGridClient (domain, pure JVM) fetches
  https://www.qrz.com/db/{call} with user-supplied cookies (parses
  EditThisCookie JSON or raw "k=v; k=v"), extracts Grid Square from
  the Detail table. Cookies NEVER built in - entered in settings.
- Settings: WaveLog card top-right gear opens QRZ cookie dialog with
  test query button (detects logged-in callsign from cookie, looks up
  its grid, shows result or failure in the dialog).
- LogTab: on Enter, async lookup of the other station's grid ->
  queue.updateGridsquare -> uploaded with QSO (postQso gridsquare).
- LoTW satellite list: 112 names embedded (lotw.arrl.org config.tq6),
  normalizeSatName maps Celestrak TLE names to LoTW names (SAUDISAT-1C
  -> SO-50, FUNCUBE-1 -> AO-73, DIWATA-2B -> PO-101, ZARYA/ARISS ->
  ARISS); "Update sats" button in WaveLog card downloads the live list
  (LotwSatellitesRepo, SharedPreferences persisted, never in build).
- RST: rst_sent/rst_rcvd = 59/59 in both v1 ADIF and v2 JSON.
- Grid mismatch dialog kept (cloud station grid vs station QTH);
  QSO gridsquare no longer uses station grid.
- New strings in 5 locales; check_strings 9 files OK.
Verified: core:domain/data + feature:settings/radar + app
compileDebugKotlin BUILD SUCCESSFUL.
 2026-08-05 06:23:47 +00:00
mckero 2c26272e0b fix(ft8): repair FT8CN locale string resources for AGP9 strictness 
FT8CN 0.93 shipped malformed strings that old AGP tolerated but AGP9
rejects: 148 unclosed tags (</string>>), unclosed XML comments,
trailing garbage after tags, and non-positional multi-placeholder
formats. Fixed across all 8 locale files: closed tags/comments,
removed trailing garbage, numbered placeholders in argument order
(%1$s %2$d %.3$1f style). aapt2 compile of every values-* dir now
passes 0 errors; :feature:ft8 + :app compileDebugKotlin SUCCESSFUL.
 2026-08-05 05:23:57 +00:00
mckero fc1bec1915 fix(ft8): unify osmdroid version to fix duplicate classes 
CI build failed at :app:checkReleaseDuplicateClasses: local
osmdroid-android-6.1.14.aar (copied from FT8CN) clashed with the
project's osmdroid 6.1.20 (feature/map remote dependency). Switched
feature/ft8 to libs.other.osmdroid (6.1.20), removed the local aar.
Verified: compileDebugJavaWithJavac + :app:compileDebugKotlin
BUILD SUCCESSFUL.
 2026-08-05 05:08:51 +00:00
mckero 7dd256f65d docs(credits): thank BG7YOZ (FT8CN author) and BG7NIP in all locales 
Added to the prefs_outro_thanks list after BG7NTA in all 5 locale
files (values/zh/tr/in/id), keeping the original bullet style and the
24dp spacer before the license block (user: keep bottom spacing).
Verified: check_strings 9 files OK.
 2026-08-05 05:01:19 +00:00
mckero 4d7952d293 fix(ft8): register FT8 in settings page-order list (UI settings) 
User spot-check found FT8 missing from the settings screens list
(SettingsScreen.kt:703) - page order drag/hide UI could not show or
reorder it. Added "nav_ft8 to FT8" after AMSAT (name must match
Screen.screenId). Verified: :feature:settings + :app compileDebugKotlin
BUILD SUCCESSFUL.
 2026-08-05 04:53:37 +00:00
mckero 8a2b0a9aa3 feat(ft8): 4.5.5 integrate FT8CN 0.93 (full port, original UI) 
Full FT8 mode integration (user chose scope C: complete port, keep
original visual style):

- feature/ft8 module: 213 Java classes from FT8CN 0.93 source
  (com.bg7yoz.ft8cn namespace preserved so code needs zero changes),
  DataBinding enabled, BuildConfig fields (APPLICATION_ID/VERSION_NAME/
  apkBuildTime) restored for AGP9
- libft8cn.so from the user's FT8CN_0.93 APK (armeabi-v7a, 1.53MB;
  differs from repo copy, APK version used)
- 237 res files + 58 assets + 4 local libs (MPAndroidChart spectrum,
  commons-net, nanohttpd, osmdroid map) copied verbatim
- Proguard keep rules for JNI classes (RegisterNatives)
- Entry: More menu "FT8" (default sub menu, after AMSAT) launches
  MainActivity via Intent (external activity, LAUNCHER filter removed
  to avoid double launcher)
- Manifest merged via module (RECORD_AUDIO/BT/location perms)
- Version 4.5.5/455 + What's new 5 languages (REPLACED per rule)
Verified: :feature:ft8:compileDebugJavaWithJavac + :app:compileDebugKotlin
BUILD SUCCESSFUL; check_strings 9 files OK.
 2026-08-05 04:49:35 +00:00
Arty Bishop 602b1553a2 v4.4.4 - Icom CAT, components, filters and sources tweaks 2026-08-04 20:51:22 +02:00
atsunatsuandatsunatsu bd0881fb4b Added linear transponder Doppler calculator (#232) 
Co-authored-by: atsunatsu <atsunatsu@users.noreply.github.com>
 2026-08-04 18:45:12 +02:00
atsunatsuandatsunatsu a9dd3e6e55 Localized pass date and time formats for Chinese (#231) 
Co-authored-by: atsunatsu <atsunatsu@users.noreply.github.com>
 2026-08-04 18:12:10 +02:00
Lukas 905995ab44 Added configurable Radar offset to the sensors output (#230) 2026-08-04 18:08:44 +02:00
Arty Bishop f9806d7f7f Replaced the types selection dialog with modes selection 2026-07-31 16:04:39 +02:00
Arty Bishop 2d3adfc6a6 Added small tweaks to Sources, Components and strings 2026-07-31 12:27:25 +02:00
231 changed files with 11867 additions and 15678 deletions
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.github/dependabot.yml
+4
View File
@@ -4,3 +4,7 @@ updates:
directory: "/"
schedule:
interval: "weekly"
- package-ecosystem: "bundler"
directory: "/"
schedule:
interval: "never"
.gitignore
+5
View File
@@ -40,10 +40,14 @@ captures/
# Keystore files
*.jks
*.keystore
/*.properties
/keystore.properties
/app/keystore.jks
# Hermes agent workspace (plans, local notes)
.hermes/
# External native build folder generated in Android Studio 2.2 and later
.externalNativeBuild
@@ -66,3 +70,4 @@ fastlane/readme.md
/app/release/output-metadata.json
/app/release/
/.kotlin/sessions/
.hermes/
AGENTS.md
+52 -49
View File
@@ -8,16 +8,15 @@ All assistant-specific files (`CLAUDE.md`, `.github/copilot-instructions.md`) po
## Project Overview
Look4Sat is an open-source, fully offline Android satellite tracker and pass predictor. It tracks 9000+ active
satellites using TLE/OMM data from Celestrak/SatNOGS, calculates orbital positions via SGP4/SDP4 models, and displays
passes relative to the user's location. Features include polar radar visualization, SSTV image decoding, satellite
ground track mapping, and pass predictions up to 10 days ahead. No ads, no tracking, no network required after initial
data download.
satellites using Celestrak/SatNOGS orbital data, calculates positions via SGP4/SDP4, and predicts passes relative to
the user's location. Features include polar radar visualization, SSTV image decoding, and ground track mapping. No ads,
no tracking, no network required after initial data download.
## Architecture
## Architecture & Design
**MVI (Model-View-Intent)** with unidirectional data flow:
- `State` data class → exposed via `StateFlow` from ViewModel
- `Action` sealed interface → user intents dispatched to ViewModel's `onAction()`
- `State` data class (named `<Feature>State`) exposed via `StateFlow` from ViewModel
- `Action` sealed interface (named `<Feature>Action`) dispatched to ViewModel's `onAction()`
- Jetpack Compose UI observes state and recomposes reactively
**Clean Architecture layers:**
@@ -34,9 +33,11 @@ data download.
| `feature:satellites` | Satellite list, filtering, selection |
| `feature:settings` | User preferences |
- `feature:*` modules depend only on `core:domain` + `core:presentation`. Features never depend on each other.
**Feature isolation:**
- `feature:*` modules depend only on `core:domain` and `core:presentation`.
- No feature-to-feature dependencies; cross-feature communication goes through core layers.
## Build & Run
## Build & Platform
```shell
# Debug build
@@ -50,54 +51,55 @@ data download.
```
- **Min SDK**: 24 | **Target SDK**: 36 | **JDK**: 17
- **Gradle**: Uses version catalog (`gradle/libs.versions.toml`) + convention plugins in `build-logic/`
- **Gradle**: Version catalog in `gradle/libs.versions.toml` + convention plugins in `build-logic/`
## Key Libraries
## Tech Stack
- **Compose** (BOM 2026.05.01) + Material3 Adaptive
- **Navigation3** (type-safe, uses `@Serializable` NavKeys)
- **Room** (KSP code generation) for local satellite/TLE storage
- **OkHttp** 5.x for TLE downloads
- **Navigation3**: Type-safe navigation with `@Serializable` nav keys
- **Room** (KSP code generation) for local satellite/orbital storage
- **OkHttp** 5.x for data downloads
- **OSMDroid** for map rendering
- **Kotlin Serialization** for navigation args and data parsing
- **Kotlin Serialization** for navigation args and parsing
- **Coroutines** + `StateFlow` for async/reactive patterns
## Conventions
- **Minimal dependencies**: Avoid adding libraries when a simple manual solution exists. Fewer deps = less maintenance.
- **DI**: Manual — ViewModels use companion `factory()` methods with `IMainContainer` interface.
- **Navigation**: Type-safe Compose Navigation3 with `@Serializable` data classes as nav keys.
- **State naming**: `<Feature>State` data class + `<Feature>Action` sealed interface per feature.
- **No feature-to-feature deps**: All cross-feature communication goes through core layers.
- **Localization**: 7 languages (en, es, ru, si, tr, uk, zh).
- **Localization**: 7 languages (en, es, ru, si, tr, uk, zh)
## Data Formats & Migration
**TLE vs. OMM/CSV format:**
Look4Sat supports both TLE and OMM (Orbit Mean-Elements Message) CSV formats:
Look4Sat supports both TLE and OMM (Orbit Mean-Elements Message) formats for backward compatibility:
- **TLE format**: Legacy 3-line element format limited by 5-digit NORAD IDs
- **OMM/CSV format**: Successor format with ISO 8601 timestamps and larger NORAD ID support
- New 5-digit NORAD IDs are exhausted; TLE is officially deprecated and OMM/CSV is the clear default
- `DataParser.kt` supports both via `parseTLEStream()` and `parseCSVStream()`
- Downloads auto-detect format; both produce identical `OrbitalData` objects
- Existing code already supports transparent source transition without feature changes
- Refresh orbital data weekly for accurate pass prediction (orbital decay)
- **TLE format**: Traditional 3-line element format (deprecated). NORAD catalog numbers are 5-digit integers, which
are running out of space. Celestrak has signaled that TLE format will eventually be phased out.
- **OMM/CSV format**: The future standard. CSV files contain the same orbital parameters as TLE but use ISO 8601
timestamps and support larger NORAD IDs. Celestrak and SatNOGS already provide OMM data in CSV format.
## Engineering Heuristics (Lazy = Efficient)
**Current implementation:**
- `DataParser.kt` handles both `parseTLEStream()` and `parseCSVStream()` seamlessly
- TLE data is downloaded from configured sources and stored in Room database
- When downloading satellite data, the app automatically detects format and parses accordingly
- Both formats produce identical `OrbitalData` objects, ensuring transparent format switching
- Treat "lazy" as efficient, not careless: the best code is the code never written.
- First understand the task and trace the real flow end-to-end, then climb this ladder:
1. Does this need to be built now? (YAGNI)
2. Does it already exist in this codebase? Reuse helpers/patterns before rewriting.
3. Does Kotlin/Java stdlib already solve it?
4. Does the Android/platform API already solve it?
5. Does an already-installed dependency solve it?
6. Can this be simpler (including one-liner simple)?
7. Only then: write the minimum code that works.
- Prefer deletion to addition, boring over clever, and the fewest touched files.
- Avoid new abstractions, dependencies, and boilerplate unless explicitly requested.
- Manual DI only: ViewModels use companion `factory()` methods with `IMainContainer`.
- Release builds use ProGuard: avoid reflection-heavy libraries unless explicitly approved.
- When two options are similar in size, choose the edge-case-correct one.
- If you keep a deliberate simplification (for example O(n^2) scan or global lock), leave a short comment with the ceiling and upgrade path.
- For complex asks, challenge scope when appropriate: "Do you need X, or does Y already cover it?"
**Migration path:**
As NORAD catalog space becomes constrained, OMM/CSV will become the primary format. Look4Sat is already positioned
to handle this transition without code changes — existing users can continue using TLE files while new sources
transition to OMM/CSV automatically.
## Bug-Fix Policy
## Code Style
- Prefer **short, focused functions** — single responsibility, easy to read.
- **Exceptions**: Composable functions and math-heavy algorithms (SGP4/SDP4) may be longer.
- Strict code style — no dead code, no unused imports, consistent formatting.
- Fix root cause, not just the reported symptom.
- If touching a shared function, inspect callers and prefer one shared fix over per-caller patches.
- The smallest correct diff wins only after behavior is understood.
## Roadmap
@@ -105,12 +107,13 @@ transition to OMM/CSV automatically.
## Gotchas
- Orbital math lives in `core:domain/predict/` — it's dense vector math (SGP4/SDP4). Tread carefully.
- TLE/OMM data must be refreshed weekly for accurate predictions (satellite orbits decay). TLE format is legacy and
will eventually be deprecated in favor of OMM/CSV as NORAD catalog numbers approach the 5-digit limit.
- Orbital math lives in `core:domain/predict/` — dense vector math (SGP4/SDP4). Tread carefully.
- SSTV decoding in `feature:radar` is experimental; image quality depends on signal strength during satellite pass.
- `build-logic/convention/` contains all shared Gradle configuration — edit there, not in individual modules.
- ProGuard is enabled for release builds — don't add reflection-based libs or any other dependencies without asking.
- `build-logic/convention/` contains shared Gradle configuration — edit there, not in individual modules.
- AMSAT status colours are ARGB literals in `core:data` (`AmSatRepository.statusColorOf`) and duplicated in
`core:presentation/MainTheme.kt`, so the data layer currently decides how the UI looks. Known debt, left as
upstream shipped it: the fix is a status enum in `core:domain` with the colour mapping in `core:presentation`.
Anything needing themeable, dark-mode-aware or colour-blind-safe status colours has to do that first.
## Copilot Working Mode: Code-Only
LICENSE
+64 -77
View File
@@ -1,5 +1,5 @@
GNU GENERAL PUBLIC LICENSE
Version 3, 29 June 2007
GNU AFFERO GENERAL PUBLIC LICENSE
Version 3, 19 November 2007
Copyright (C) 2007 Free Software Foundation, Inc. <https://fsf.org/>
Everyone is permitted to copy and distribute verbatim copies
@@ -7,17 +7,15 @@
Preamble
The GNU General Public License is a free, copyleft license for
software and other kinds of works.
The GNU Affero General Public License is a free, copyleft license for
software and other kinds of works, specifically designed to ensure
cooperation with the community in the case of network server software.
The licenses for most software and other practical works are designed
to take away your freedom to share and change the works. By contrast,
the GNU General Public License is intended to guarantee your freedom to
our General Public Licenses are intended to guarantee your freedom to
share and change all versions of a program--to make sure it remains free
software for all its users. We, the Free Software Foundation, use the
GNU General Public License for most of our software; it applies also to
any other work released this way by its authors. You can apply it to
your programs, too.
software for all its users.
When we speak of free software, we are referring to freedom, not
price. Our General Public Licenses are designed to make sure that you
@@ -26,44 +24,34 @@ them if you wish), that you receive source code or can get it if you
want it, that you can change the software or use pieces of it in new
free programs, and that you know you can do these things.
To protect your rights, we need to prevent others from denying you
these rights or asking you to surrender the rights. Therefore, you have
certain responsibilities if you distribute copies of the software, or if
you modify it: responsibilities to respect the freedom of others.
Developers that use our General Public Licenses protect your rights
with two steps: (1) assert copyright on the software, and (2) offer
you this License which gives you legal permission to copy, distribute
and/or modify the software.
For example, if you distribute copies of such a program, whether
gratis or for a fee, you must pass on to the recipients the same
freedoms that you received. You must make sure that they, too, receive
or can get the source code. And you must show them these terms so they
know their rights.
A secondary benefit of defending all users' freedom is that
improvements made in alternate versions of the program, if they
receive widespread use, become available for other developers to
incorporate. Many developers of free software are heartened and
encouraged by the resulting cooperation. However, in the case of
software used on network servers, this result may fail to come about.
The GNU General Public License permits making a modified version and
letting the public access it on a server without ever releasing its
source code to the public.
Developers that use the GNU GPL protect your rights with two steps:
(1) assert copyright on the software, and (2) offer you this License
giving you legal permission to copy, distribute and/or modify it.
The GNU Affero General Public License is designed specifically to
ensure that, in such cases, the modified source code becomes available
to the community. It requires the operator of a network server to
provide the source code of the modified version running there to the
users of that server. Therefore, public use of a modified version, on
a publicly accessible server, gives the public access to the source
code of the modified version.
For the developers' and authors' protection, the GPL clearly explains
that there is no warranty for this free software. For both users' and
authors' sake, the GPL requires that modified versions be marked as
changed, so that their problems will not be attributed erroneously to
authors of previous versions.
Some devices are designed to deny users access to install or run
modified versions of the software inside them, although the manufacturer
can do so. This is fundamentally incompatible with the aim of
protecting users' freedom to change the software. The systematic
pattern of such abuse occurs in the area of products for individuals to
use, which is precisely where it is most unacceptable. Therefore, we
have designed this version of the GPL to prohibit the practice for those
products. If such problems arise substantially in other domains, we
stand ready to extend this provision to those domains in future versions
of the GPL, as needed to protect the freedom of users.
Finally, every program is threatened constantly by software patents.
States should not allow patents to restrict development and use of
software on general-purpose computers, but in those that do, we wish to
avoid the special danger that patents applied to a free program could
make it effectively proprietary. To prevent this, the GPL assures that
patents cannot be used to render the program non-free.
An older license, called the Affero General Public License and
published by Affero, was designed to accomplish similar goals. This is
a different license, not a version of the Affero GPL, but Affero has
released a new version of the Affero GPL which permits relicensing under
this license.
The precise terms and conditions for copying, distribution and
modification follow.
@@ -72,7 +60,7 @@ modification follow.
0. Definitions.
"This License" refers to version 3 of the GNU General Public License.
"This License" refers to version 3 of the GNU Affero General Public License.
"Copyright" also means copyright-like laws that apply to other kinds of
works, such as semiconductor masks.
@@ -549,35 +537,45 @@ to collect a royalty for further conveying from those to whom you convey
the Program, the only way you could satisfy both those terms and this
License would be to refrain entirely from conveying the Program.
13. Use with the GNU Affero General Public License.
13. Remote Network Interaction; Use with the GNU General Public License.
Notwithstanding any other provision of this License, if you modify the
Program, your modified version must prominently offer all users
interacting with it remotely through a computer network (if your version
supports such interaction) an opportunity to receive the Corresponding
Source of your version by providing access to the Corresponding Source
from a network server at no charge, through some standard or customary
means of facilitating copying of software. This Corresponding Source
shall include the Corresponding Source for any work covered by version 3
of the GNU General Public License that is incorporated pursuant to the
following paragraph.
Notwithstanding any other provision of this License, you have
permission to link or combine any covered work with a work licensed
under version 3 of the GNU Affero General Public License into a single
under version 3 of the GNU General Public License into a single
combined work, and to convey the resulting work. The terms of this
License will continue to apply to the part which is the covered work,
but the special requirements of the GNU Affero General Public License,
section 13, concerning interaction through a network will apply to the
combination as such.
but the work with which it is combined will remain governed by version
3 of the GNU General Public License.
14. Revised Versions of this License.
The Free Software Foundation may publish revised and/or new versions of
the GNU General Public License from time to time. Such new versions will
be similar in spirit to the present version, but may differ in detail to
the GNU Affero General Public License from time to time. Such new versions
will be similar in spirit to the present version, but may differ in detail to
address new problems or concerns.
Each version is given a distinguishing version number. If the
Program specifies that a certain numbered version of the GNU General
Program specifies that a certain numbered version of the GNU Affero General
Public License "or any later version" applies to it, you have the
option of following the terms and conditions either of that numbered
version or of any later version published by the Free Software
Foundation. If the Program does not specify a version number of the
GNU General Public License, you may choose any version ever published
GNU Affero General Public License, you may choose any version ever published
by the Free Software Foundation.
If the Program specifies that a proxy can decide which future
versions of the GNU General Public License can be used, that proxy's
versions of the GNU Affero General Public License can be used, that proxy's
public statement of acceptance of a version permanently authorizes you
to choose that version for the Program.
@@ -635,40 +633,29 @@ the "copyright" line and a pointer to where the full notice is found.
Copyright (C) <year> <name of author>
This program is free software: you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
it under the terms of the GNU Affero General Public License as published by
the Free Software Foundation, either version 3 of the License, or
(at your option) any later version.
This program is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU General Public License for more details.
GNU Affero General Public License for more details.
You should have received a copy of the GNU General Public License
You should have received a copy of the GNU Affero General Public License
along with this program. If not, see <https://www.gnu.org/licenses/>.
Also add information on how to contact you by electronic and paper mail.
If the program does terminal interaction, make it output a short
notice like this when it starts in an interactive mode:
<program> Copyright (C) <year> <name of author>
This program comes with ABSOLUTELY NO WARRANTY; for details type `show w'.
This is free software, and you are welcome to redistribute it
under certain conditions; type `show c' for details.
The hypothetical commands `show w' and `show c' should show the appropriate
parts of the General Public License. Of course, your program's commands
might be different; for a GUI interface, you would use an "about box".
If your software can interact with users remotely through a computer
network, you should also make sure that it provides a way for users to
get its source. For example, if your program is a web application, its
interface could display a "Source" link that leads users to an archive
of the code. There are many ways you could offer source, and different
solutions will be better for different programs; see section 13 for the
specific requirements.
You should also get your employer (if you work as a programmer) or school,
if any, to sign a "copyright disclaimer" for the program, if necessary.
For more information on this, and how to apply and follow the GNU GPL, see
For more information on this, and how to apply and follow the GNU AGPL, see
<https://www.gnu.org/licenses/>.
The GNU General Public License does not permit incorporating your program
into proprietary programs. If your program is a subroutine library, you
may consider it more useful to permit linking proprietary applications with
the library. If this is what you want to do, use the GNU Lesser General
Public License instead of this License. But first, please read
<https://www.gnu.org/licenses/why-not-lgpl.html>.
NOTICE
+24
View File
@@ -0,0 +1,24 @@
LOOK4SAT (MCKERO6423 FORK) — LICENSING NOTICE
This repository combines two separately-licensed components:
1. Look4Sat application code (all modules except the DeepCW model)
— Copyright (C) 2019-2026 Arty Bishop (rt-bishop) and contributors
— Licensed under the GNU General Public License v3.0 (GPL-3.0)
2. The DeepCW neural decoding model in feature/cw/src/main/assets/deepcw/
— Copyright (C) e04 (https://github.com/e04/deepcw-engine)
— Licensed under the GNU Affero General Public License v3.0 only
(AGPL-3.0-only)
Because this combined work incorporates an AGPL-3.0 component, it is
distributed under the GNU Affero General Public License v3.0. GPL-3.0
Section 13 permits this combination; AGPL-3.0 Section 13 applies to the
combined work as a whole.
See feature/cw/licenses/NOTICE.md for model provenance, attribution, and
the applied int8 quantization. The original GPL-3.0 text for the Look4Sat
application code is preserved at feature/cw/licenses/Look4Sat-GPL-3.0.txt.
--------------------------------------------------------------------------------
README.md
+19 -4
View File
@@ -34,12 +34,27 @@ It is now and always will be completely ad-free and open-source.
* Custom TLE satellite data import is available via Three Line Element .txt files
* Offline first: calculations are made offline. Weekly TLE data update is recommended.
## License
The Look4Sat application code is licensed under the GNU General Public License v3.0.
The CW decoder in `feature/cw` bundles the [DeepCW](https://github.com/e04/deepcw-engine)
neural decoding model, licensed under the GNU Affero General Public License v3.0 only
(AGPL-3.0-only). Because the combined work incorporates an AGPL-3.0 component, the
combined work is distributed under the
[GNU Affero General Public License v3.0](LICENSE) — GPL-3.0 Section 13 permits the
combination, and AGPL-3.0 Section 13 applies to the combined work as a whole.
Model provenance and attribution are documented in
[`feature/cw/licenses/NOTICE.md`](feature/cw/licenses/NOTICE.md); the original GPL-3.0
text is preserved at `feature/cw/licenses/Look4Sat-GPL-3.0.txt`. The CW model runs
locally on-device and does not provide services over a network.
## Star History
<a href="https://www.star-history.com/?repos=rt-bishop%2FLook4Sat&type=timeline&legend=top-left">
<a href="https://star-history.dera.page/#rt-bishop/Look4Sat&type=timeline&legend=top-left">
<picture>
<source media="(prefers-color-scheme: dark)" srcset="https://api.star-history.com/chart?repos=rt-bishop/Look4Sat&type=timeline&theme=dark&legend=top-left" />
<source media="(prefers-color-scheme: light)" srcset="https://api.star-history.com/chart?repos=rt-bishop/Look4Sat&type=timeline&legend=top-left" />
<img alt="Star History Chart" src="https://api.star-history.com/chart?repos=rt-bishop/Look4Sat&type=timeline&legend=top-left" />
<source media="(prefers-color-scheme: dark)" srcset="https://star-history.dera.page/svg?repos=rt-bishop/Look4Sat&type=timeline&theme=dark&legend=top-left" />
<source media="(prefers-color-scheme: light)" srcset="https://star-history.dera.page/svg?repos=rt-bishop/Look4Sat&type=timeline&legend=top-left" />
<img alt="Star History Chart" src="https://star-history.dera.page/svg?repos=rt-bishop/Look4Sat&type=timeline&legend=top-left" />
</picture>
</a>
app/build.gradle.kts
+11 -3
View File
@@ -11,11 +11,12 @@ val keystoreProperties = Properties().apply {
}
android {
// CW 解码 native 库仅 armeabi-v7a(照搬 Morse Expert 1.15): 全 ABI 打包会在
// arm64 设备 loadLibrary 失败, 强制 32 位兼容(用户设备为 32 位软件)
defaultConfig {
// ONNX Runtime 的 AAR 自带 4 个架构共 115MB 原生库(arm64 28M / armv7 20M /
// x86 33M / x86_64 34M)。x86 系列只有模拟器用得到, 全打包会让 APK 从 8MB
// 涨到 135MB。仅保留真机需要的两个 ABI。
ndk {
abiFilters += listOf("armeabi-v7a")
abiFilters += listOf("arm64-v8a", "armeabi-v7a")
}
}
androidResources {
@@ -23,6 +24,10 @@ android {
localeFilters += listOf(
"en", "zh", "tr", "in", "id", "es", "ru", "si", "uk"
)
// DeepCW 模型必须以未压缩形式打包: ONNX Runtime 通过 mmap 直接读取
// assets, 压缩后无法映射会导致 createSession 失败。noCompress 只在
// 打包 APK 的 app 模块生效, 在 feature 库模块声明无效。
noCompress += "onnx"
}
signingConfigs {
if (keystoreProperties["storeFile"] != null) {
@@ -37,6 +42,9 @@ android {
buildTypes {
release {
signingConfig = signingConfigs.findByName("release")
// ONNX Runtime 走 JNI, R8 混淆会重命名 ai.onnxruntime.* 类导致 native
// 崩溃。convention 插件已开启 isMinifyEnabled, 必须补 keep 规则。
proguardFiles("proguard-rules.pro")
}
}
}
app/proguard-rules.pro
Vendored
+13
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@@ -0,0 +1,13 @@
# ProGuard / R8 rules for the Look4Sat application module.
#
# NOTE: release builds enable minification (isMinifyEnabled=true in the
# convention plugin), so anything whose classes are resolved reflectively or
# through JNI by name MUST be kept here.
# ONNX Runtime (ai.onnxruntime): the Java binding is backed by JNI. Native code
# resolves Java methods/classes by their original names; R8 renaming or
# stripping them causes a hard crash at runtime with no Java stack trace.
# This rule is required by the ONNX Runtime docs for minified Android builds.
# https://onnxruntime.ai/docs/get-started/with-java.html
-keep class ai.onnxruntime.** { *; }
-dontwarn ai.onnxruntime.**
app/src/main/java/com/rtbishop/look4sat/AprsForegroundService.kt
+18 -8
View File
@@ -24,8 +24,8 @@ import kotlinx.coroutines.SupervisorJob
import kotlinx.coroutines.launch
/**
* APRS 前台服务:系统通知保活,切换页面不断线。
* START_STICKY:被系统杀掉后自动重启(APRSdroid 同款策略)。
* APRS foreground service: kept alive by a system notification; keeps working across pages.
* START_STICKY: auto-restarted after being killed by the system (same strategy as APRSdroid).
*/
class AprsForegroundService : Service() {
@@ -53,7 +53,7 @@ class AprsForegroundService : Service() {
ACTION_STOP -> stopReporting()
ACTION_REPORT_NOW -> {
if (reporter == null) {
// 服务没在跑:先启动(未配置会 Toast 提示)
// Service not running: start it first (Toast hint when not configured)
startReporting()
}
reporter?.reportNow()
@@ -64,6 +64,16 @@ class AprsForegroundService : Service() {
}
private fun startReporting() {
// onStartCommand reaches here for every ACTION_START and for the null
// intent that START_STICKY delivers on restart. Without this guard each
// call built a fresh AprsReporter and overwrote the field, leaving the
// previous one running with its own scope and timer: the server then
// received one duplicate position report per leaked instance per cycle,
// and ACTION_STOP could only ever stop the newest one.
reporter?.let { existing ->
if (existing.isRunning) return
existing.stop()
}
val cfg = AprsStore.loadConfig(this)
if (!cfg.enabled || cfg.callsign.isBlank()) {
runCatching {
@@ -80,7 +90,7 @@ class AprsForegroundService : Service() {
onReport = { report ->
AprsStore.saveLastReport(this, report.ok, report.detail)
updateNotification(cfg)
// 上报结果必达:成功 Toast 短显,失败 Toast 长显+原因
// Report result always surfaces: success = short Toast, failure = long Toast + reason
val msg = if (report.ok) {
getString(R.string.aprs_toast_ok)
} else {
@@ -112,7 +122,7 @@ class AprsForegroundService : Service() {
startForeground(NOTIF_ID, notif)
}
} catch (e: Exception) {
// 厂商 ROM / 旧系统兼容兜底:启动前台失败只停服务,不崩进程
// Vendor ROM / old-system safety net: foreground-start failure only stops the service, never crashes the app
stopSelf()
}
}
@@ -146,9 +156,9 @@ class AprsForegroundService : Service() {
nm.notify(NOTIF_ID, buildNotification(cfg))
}
/** 上报位置:优先用设置里的站位(用户拍板);站位无效时实时 GPS 兜底 */
/** Report position: station QTH from settings first (per user); live GPS as fallback when invalid */
private fun stationPosition(): Pair<Double, Double>? {
// ① 站位(设置页设置的位置)
// 1. Station QTH (position set in settings)
val station = runCatching {
val container = (application as MainApplication).getMainContainer()
container.settingsRepo.stationPosition.value
@@ -156,7 +166,7 @@ class AprsForegroundService : Service() {
if (station != null && (station.latitude != 0.0 || station.longitude != 0.0)) {
return Pair(station.latitude, station.longitude)
}
// ② 兜底:实时 GPS 最后位置
// 2. Fallback: last live GPS position
return runCatching {
val lm = getSystemService(Context.LOCATION_SERVICE) as android.location.LocationManager
val providers = listOf(
app/src/main/java/com/rtbishop/look4sat/MainActivity.kt
+1 -1
View File
@@ -49,7 +49,7 @@ class MainActivity : ComponentActivity() {
super.onCreate(savedInstanceState)
observeNightFilterState()
setContent {
MainTheme(isDarkTheme = true) { MainScreen() }
MainTheme(isDarkTheme = true) { NavRoot() }
}
}
app/src/main/java/com/rtbishop/look4sat/MainApplication.kt
+1 -1
View File
@@ -30,7 +30,7 @@ class MainApplication : Application(), IContainerProvider {
private lateinit var container: IMainContainer
/** 全局崩溃捕获:堆栈写入 files/crash_log.txt,重启后可查看(用户要求错误报告) */
/** Global crash capture: stack written to files/crash_log.txt, viewable after restart (user asked for error reports) */
private fun installCrashHandler() {
val defaultHandler = Thread.getDefaultUncaughtExceptionHandler()
Thread.setDefaultUncaughtExceptionHandler { thread, throwable ->
app/src/main/java/com/rtbishop/look4sat/MainScreen.kt
+73 -70
View File
@@ -20,20 +20,18 @@ package com.rtbishop.look4sat
import androidx.activity.compose.BackHandler
import androidx.compose.animation.AnimatedVisibility
import androidx.compose.animation.animateContentSize
import androidx.compose.animation.core.LinearEasing
import androidx.compose.animation.core.RepeatMode
import androidx.compose.animation.core.Spring
import androidx.compose.animation.core.animateFloat
import androidx.compose.animation.core.infiniteRepeatable
import androidx.compose.animation.core.rememberInfiniteTransition
import androidx.compose.animation.core.spring
import androidx.compose.animation.core.tween
import androidx.compose.animation.expandVertically
import androidx.compose.animation.fadeIn
import androidx.compose.animation.fadeOut
import androidx.compose.animation.scaleIn
import androidx.compose.animation.scaleOut
import androidx.compose.animation.shrinkVertically
import androidx.compose.animation.core.LinearEasing
import androidx.compose.animation.core.RepeatMode
import androidx.compose.animation.core.animateFloat
import androidx.compose.animation.core.infiniteRepeatable
import androidx.compose.animation.core.rememberInfiniteTransition
import androidx.compose.animation.core.tween
import androidx.compose.animation.fadeIn
import androidx.compose.animation.fadeOut
import androidx.compose.animation.slideInHorizontally
import androidx.compose.animation.slideOutHorizontally
import androidx.compose.animation.togetherWith
@@ -51,7 +49,7 @@ import androidx.compose.foundation.layout.width
import androidx.compose.foundation.shape.CircleShape
import androidx.compose.material3.Icon
import androidx.compose.material3.MaterialTheme
import androidx.compose.material3.Scaffold
import androidx.compose.material3.Surface
import androidx.compose.material3.Text
import androidx.compose.material3.adaptive.navigationsuite.NavigationSuiteDefaults
import androidx.compose.material3.adaptive.navigationsuite.NavigationSuiteScaffold
@@ -67,6 +65,7 @@ import androidx.compose.ui.Alignment
import androidx.compose.ui.Modifier
import androidx.compose.ui.draw.clip
import androidx.compose.ui.graphics.Color
import androidx.compose.ui.graphics.TransformOrigin
import androidx.compose.ui.platform.LocalContext
import androidx.compose.ui.res.painterResource
import androidx.compose.ui.res.stringResource
@@ -83,6 +82,7 @@ import androidx.navigation3.runtime.rememberSaveableStateHolderNavEntryDecorator
import androidx.navigation3.ui.NavDisplay
import com.rtbishop.look4sat.core.domain.repository.IContainerProvider
import com.rtbishop.look4sat.core.domain.repository.MutualPassData
import com.rtbishop.look4sat.core.domain.navigation.MenuLayout
import com.rtbishop.look4sat.core.presentation.DeeplinkResolver
import com.rtbishop.look4sat.core.presentation.ElevationThresholds
import com.rtbishop.look4sat.core.presentation.LocalElevationThresholds
@@ -97,41 +97,45 @@ import com.rtbishop.look4sat.feature.mutual.MutualViewModel
import com.rtbishop.look4sat.feature.passes.PassesDestination
import com.rtbishop.look4sat.feature.radar.RadarDestination
import com.rtbishop.look4sat.feature.radar.WavelogLogScreen
import com.rtbishop.look4sat.feature.status.SatStatusScreen
import com.rtbishop.look4sat.feature.roaming.RoamingScreen
import com.rtbishop.look4sat.feature.satellites.SatellitesDestination
import com.rtbishop.look4sat.feature.settings.SettingsDestination
import com.rtbishop.look4sat.feature.status.SatStatusDestination
@Composable
fun NavRoot(deeplink: String? = null) {
val rootBackStack = rememberNavBackStack(Screen.Passes)
val deeplinkResolver = DeeplinkResolver()
LaunchedEffect(deeplink) {
deeplink?.let {
val destination = deeplinkResolver.resolve(it) // rootBackStack.clear()
rootBackStack.add(destination)
}
deeplink?.let { rootBackStack.add(deeplinkResolver.resolve(it)) }
}
val navigateBack: () -> Unit = { rootBackStack.removeLastOrNull() }
val slideInTransition = slideInHorizontally(initialOffsetX = { it }) togetherWith scaleOut(targetScale = 0.9f)
val slideOutTransition = scaleIn(initialScale = 0.9f) togetherWith slideOutHorizontally(targetOffsetX = { it })
val navigateToRadar: () -> Unit = { rootBackStack.add(RadarDestination) }
// Incoming screen slides in from the right, outgoing drifts left at 1/3 speed (API35+ style)
val pushTransition = slideInHorizontally(tween(300)) { it } togetherWith
slideOutHorizontally(tween(300)) { -it / 3 }
// Reverse: outgoing slides out to the right, incoming drifts in from the left
val popTransition = slideInHorizontally(tween(300)) { -it / 3 } togetherWith
slideOutHorizontally(tween(300)) { it }
NavDisplay(
modifier = Modifier.fillMaxSize(),
backStack = rootBackStack,
onBack = navigateBack,
transitionSpec = { slideInTransition },
popTransitionSpec = { slideOutTransition },
predictivePopTransitionSpec = { slideOutTransition },
transitionSpec = { pushTransition },
popTransitionSpec = { popTransition },
predictivePopTransitionSpec = { popTransition },
entryDecorators = listOf(
rememberSaveableStateHolderNavEntryDecorator(), // Required for saving Compose state per entry
rememberViewModelStoreNavEntryDecorator() // Required for ViewModel scoping per entry
rememberSaveableStateHolderNavEntryDecorator(),
rememberViewModelStoreNavEntryDecorator()
),
entryProvider = entryProvider {
entry<Screen.Passes> { MainScreen(navigateToRadar = { rootBackStack.add(RadarDestination) }) }
entry<Screen.Passes> { MainScreen() }
entry<RadarDestination> {
Scaffold { innerPadding ->
Surface(
modifier = Modifier.fillMaxSize(),
color = MaterialTheme.colorScheme.background
) {
RadarDestination(navigateUp = navigateBack)
innerPadding.calculateTopPadding()
}
}
}
@@ -139,7 +143,7 @@ fun NavRoot(deeplink: String? = null) {
}
@Composable
fun MainScreen(navigateToRadar: () -> Unit = {}) {
fun MainScreen() {
val backStack = rememberNavBackStack(Screen.Passes)
val currentKey = backStack.lastOrNull()
val navigateBack: () -> Unit = { backStack.removeLastOrNull() }
@@ -148,30 +152,30 @@ fun MainScreen(navigateToRadar: () -> Unit = {}) {
val container = (context.applicationContext as IContainerProvider).getMainContainer()
val trackingState by container.radioTrackingService.state.collectAsStateWithLifecycle()
val otherSettings by container.settingsRepo.otherSettings.collectAsStateWithLifecycle()
// UI 设置: 按 screenOrder 排序(空 = 默认顺序), 再按 hiddenScreens 过滤(设置页固定保留)
val allNavItems = listOf(Screen.Satellites, Screen.Passes, Screen.Radar, Screen.Mutual, Screen.Roaming, Screen.CwDecode, Screen.WavelogLog, Screen.AmSat, Screen.Map, Screen.Settings)
.sortedBy { screen ->
// 未知(新页面如 CwDecode 不在旧持久化顺序里): 用默认顺序位置(漫游↔地图), 再兜底最后
val idx = otherSettings.screenOrder.indexOf(screen.screenId)
if (idx != -1) idx
else com.rtbishop.look4sat.core.presentation.defaultScreenOrder.indexOf(screen.screenId).let {
if (it != -1) it else Int.MAX_VALUE
}
}
.filter { it.screenId !in otherSettings.hiddenScreens || it is Screen.Settings }
// 4.5.1 折叠菜单: 主菜单(底部栏 5 槽) + 更多菜单(溢出页面)
// 老用户迁移: 已持久化的 subMenuOrder 不含新页面 WavelogLog → 追加到子菜单尾部
val subOrder = (otherSettings.subMenuOrder.ifEmpty { com.rtbishop.look4sat.core.presentation.defaultSubMenuOrder })
.let { list -> if ("WavelogLog" in list) list else list + "WavelogLog" }
.let { list -> if ("AMSAT" in list) list else list + "AMSAT" }
val mainNavItems = remember(allNavItems, subOrder) {
allNavItems.filter { it.screenId !in subOrder }.take(5)
// Menu layout is resolved in core:domain so the bar and the settings editor
// cannot disagree, and so Settings can never be pushed out of both menus.
val allNavItems = listOf(
Screen.Satellites, Screen.Passes, Screen.Radar, Screen.Mutual, Screen.Roaming,
Screen.CwDecode, Screen.WavelogLog, Screen.AmSat, Screen.Map, Screen.Settings
)
val menuLayout = remember(
otherSettings.screenOrder, otherSettings.subMenuOrder, otherSettings.hiddenScreens
) {
MenuLayout.resolve(
allScreenIds = allNavItems.map { it.screenId },
screenOrder = otherSettings.screenOrder,
subMenuOrder = otherSettings.subMenuOrder,
hiddenScreenIds = otherSettings.hiddenScreens
)
}
val moreNavItems = remember(allNavItems, subOrder) {
subOrder.mapNotNull { id -> allNavItems.find { it.screenId == id } }
val mainNavItems = remember(menuLayout) {
menuLayout.mainIds.mapNotNull { id -> allNavItems.find { it.screenId == id } }
}
val moreNavItems = remember(menuLayout) {
menuLayout.moreIds.mapNotNull { id -> allNavItems.find { it.screenId == id } }
}
var moreExpanded by remember { mutableStateOf(false) }
// 更多菜单打开时拦截返回: 先关菜单
// Intercept Back while the More menu is open: close the menu first
BackHandler(enabled = moreExpanded) { moreExpanded = false }
// Activity-scoped so the mutual query results survive navigation to Radar and back
val mutualViewModel: MutualViewModel = viewModel(
@@ -188,20 +192,16 @@ fun MainScreen(navigateToRadar: () -> Unit = {}) {
NavigationSuiteScaffold(
navigationSuiteItems = {
mainNavItems.forEach { screen ->
val isSelected = when (currentKey) {
is Screen.Satellites -> screen is Screen.Satellites
is Screen.Passes -> screen is Screen.Passes
is Screen.Radar -> screen is Screen.Radar
is Screen.Mutual -> screen is Screen.Mutual
is Screen.CwDecode -> screen is Screen.CwDecode
is Screen.WavelogLog -> screen is Screen.WavelogLog
is Screen.AmSat -> screen is Screen.AmSat
is Screen.Map -> screen is Screen.Map
is Screen.Settings -> screen is Screen.Settings
else -> false
}
// Screen subclasses are data objects, so identity is enough and
// newly added pages highlight without touching this call site.
val isSelected = currentKey == screen
item(
icon = { Icon(painterResource(screen.iconResId), stringResource(screen.titleResId)) },
icon = {
Icon(
painter = painterResource(screen.iconResId),
contentDescription = stringResource(screen.titleResId)
)
},
label = { Text(stringResource(screen.titleResId)) },
selected = isSelected,
onClick = {
@@ -212,7 +212,7 @@ fun MainScreen(navigateToRadar: () -> Unit = {}) {
}
)
}
// 更多菜单按钮(固定第 6 槽, 子菜单非空才显示)
// More-menu button (fixed slot 6; shown only when the sub-menu is non-empty)
if (moreNavItems.isNotEmpty()) {
item(
icon = {
@@ -260,7 +260,6 @@ fun MainScreen(navigateToRadar: () -> Unit = {}) {
container.setMutualPassData(MutualPassData())
container.satelliteRepo.selectPass(catNum, aosTime)
backStack.add(Screen.Radar)
// navigateToRadar()
}
}
entry<Screen.Radar> {
@@ -287,7 +286,7 @@ fun MainScreen(navigateToRadar: () -> Unit = {}) {
CwDecodeScreen()
}
entry<Screen.AmSat> {
SatStatusScreen(container = container)
SatStatusDestination()
}
entry<Screen.WavelogLog> {
WavelogLogScreen(queue = container.wavelogQueue)
@@ -346,14 +345,18 @@ fun MainScreen(navigateToRadar: () -> Unit = {}) {
}
}
}
// 更多菜单弹出面板(覆盖在内容上, 底部栏上方; spring 弹跳)
// More-menu popup panel (slim strip anchored to the bottom-right corner)
AnimatedVisibility(
visible = moreExpanded,
modifier = Modifier.fillMaxSize(),
enter = expandVertically(
animationSpec = spring(dampingRatio = Spring.DampingRatioMediumBouncy)
) + fadeIn(),
exit = shrinkVertically() + fadeOut()
enter = scaleIn(
animationSpec = tween(150),
transformOrigin = TransformOrigin(1f, 1f)
) + fadeIn(animationSpec = tween(150)),
exit = scaleOut(
animationSpec = tween(120),
transformOrigin = TransformOrigin(1f, 1f)
) + fadeOut(animationSpec = tween(120))
) {
MoreMenuPopup(
items = moreNavItems,
@@ -369,4 +372,4 @@ fun MainScreen(navigateToRadar: () -> Unit = {}) {
}
}
}
}
}
app/src/main/java/com/rtbishop/look4sat/MoreMenuPopup.kt
+19 -19
View File
@@ -1,13 +1,13 @@
/*
* MoreMenuPopup.kt — 底部导航「更多」二级菜单弹出面板(4.5.1)。
* MoreMenuPopup.kt - bottom-nav "More" second-level menu popup panel (4.5.1).
*
* 覆盖在内容区上(底部栏上方, 右对齐), 竖排菜单项(图标+文本+箭头),
* 当前页高亮; 点击遮罩关闭, 点击项跳转。弹出/收起动画由调用处
* (MainScreen 的 AnimatedVisibility + spring)驱动。
* A slim right-aligned strip above the bottom bar, vertical menu items (icon+text+arrow),
* current page highlighted; tap outside to close, tap an item to navigate. No dimming scrim, so the
* page stays readable. Open/close animation is driven by the caller (MainScreen's AnimatedVisibility).
*/
package com.rtbishop.look4sat
import androidx.compose.foundation.background
import androidx.compose.foundation.BorderStroke
import androidx.compose.foundation.clickable
import androidx.compose.foundation.layout.Box
import androidx.compose.foundation.layout.Column
@@ -18,6 +18,7 @@ import androidx.compose.foundation.layout.fillMaxWidth
import androidx.compose.foundation.layout.padding
import androidx.compose.foundation.layout.size
import androidx.compose.foundation.layout.width
import androidx.compose.foundation.layout.widthIn
import androidx.compose.foundation.shape.RoundedCornerShape
import androidx.compose.material3.Card
import androidx.compose.material3.CardDefaults
@@ -45,31 +46,30 @@ fun MoreMenuPopup(
Box(
modifier = Modifier
.fillMaxSize()
.background(MaterialTheme.colorScheme.scrim.copy(alpha = 0.35f))
// Transparent catcher: taps outside the card dismiss the menu without
// dimming the page behind it.
.clickable(onClick = onDismiss)
) {
Card(
modifier = Modifier
.align(Alignment.BottomEnd)
.padding(12.dp),
.padding(12.dp)
.widthIn(max = 232.dp)
// Swallow taps on the card so they do not reach the dismiss
// catcher underneath.
.clickable(enabled = false) {},
shape = RoundedCornerShape(12.dp),
border = BorderStroke(1.dp, MaterialTheme.colorScheme.outlineVariant.copy(alpha = 0.6f)),
colors = CardDefaults.cardColors(
containerColor = MaterialTheme.colorScheme.surfaceContainerHigh
containerColor = MaterialTheme.colorScheme.surfaceContainer
)
) {
Column(modifier = Modifier.padding(vertical = 4.dp)) {
items.forEach { screen ->
val isSelected = when (currentKey) {
is Screen.Satellites -> screen is Screen.Satellites
is Screen.Passes -> screen is Screen.Passes
is Screen.Radar -> screen is Screen.Radar
is Screen.Mutual -> screen is Screen.Mutual
is Screen.CwDecode -> screen is Screen.CwDecode
is Screen.WavelogLog -> screen is Screen.WavelogLog
is Screen.Map -> screen is Screen.Map
is Screen.Settings -> screen is Screen.Settings
else -> false
}
// Screen subclasses are data objects, so identity is enough. The
// old per-type when was missing AmSat and Roaming, leaving those
// pages unhighlighted while open.
val isSelected = currentKey == screen
Row(
verticalAlignment = Alignment.CenterVertically,
modifier = Modifier
core/data/build.gradle.kts
+6
View File
@@ -5,3 +5,9 @@ plugins {
android {
namespace = "com.rtbishop.look4sat.core.data"
}
dependencies {
// DeepCW 神经网络 CW 解码推理。ONNX 推理属 Android 平台依赖, 放此处而非
// core:domain —— 后者须保持纯 Kotlin/JVM 以留 KMP 迁移余地 (见 AGENTS.md)。
implementation(libs.other.onnxruntime)
}
core/data/src/main/java/com/rtbishop/look4sat/core/data/aprs/AprsIsClient.kt
+59 -43
View File
@@ -9,8 +9,8 @@ import java.net.InetSocketAddress
import java.net.Socket
/**
* APRS-IS TCP 客户端(从 APRSdroid TcpUploader.scala 逆向移植)。
* 纯文本协议:登录一行 + 每行一个包;断线 30 秒重连。
* APRS-IS TCP client (reverse-ported from APRSdroid TcpUploader.scala).
* Plain-text protocol: one login line + one packet per line; 30 s reconnect after drop.
*/
class AprsIsClient(
private val host: String,
@@ -30,65 +30,81 @@ class AprsIsClient(
val isConnected: Boolean
get() = synchronized(lock) { socket?.isConnected == true && !socket!!.isClosed }
/** 建立连接 + 登录(同步阻塞,调用方放后台线程) */
/** Connect + login (synchronous/blocking; call from a background thread) */
@Throws(Exception::class)
fun connect() {
disconnect()
val s = Socket()
s.connect(InetSocketAddress(host, port), 30_000)
s.soTimeout = timeoutSec * 1000
s.tcpNoDelay = true
synchronized(lock) {
socket = s
writer = PrintWriter(OutputStreamWriter(s.getOutputStream(), Charsets.ISO_8859_1), true)
reader = BufferedReader(InputStreamReader(s.getInputStream(), Charsets.ISO_8859_1), 256)
}
// 登录行
val login = AprsPacket.formatLogin(callsign, ssid, passcode, version) + filter
writer?.println(login)
// 读登录响应(aprsc 返回 # logresp ... verified/unverified)
runCatching {
s.soTimeout = 8000
val resp = reader?.readLine()
if (resp != null && (resp.contains("Invalid", ignoreCase = true) ||
resp.contains("unverified", ignoreCase = true))) {
throw IllegalArgumentException(resp.trim())
}
// 恢复超时
try {
s.connect(InetSocketAddress(host, port), 30_000)
s.soTimeout = timeoutSec * 1000
s.tcpNoDelay = true
synchronized(lock) {
socket = s
writer = PrintWriter(OutputStreamWriter(s.getOutputStream(), Charsets.ISO_8859_1), true)
reader = BufferedReader(InputStreamReader(s.getInputStream(), Charsets.ISO_8859_1), 256)
}
// Login line
val login = AprsPacket.formatLogin(callsign, ssid, passcode, version) + filter
writer?.println(login)
// Read the login response (aprsc replies # logresp ... verified/unverified)
runCatching {
s.soTimeout = 8000
val resp = reader?.readLine()
if (resp != null && (resp.contains("Invalid", ignoreCase = true) ||
resp.contains("unverified", ignoreCase = true))) {
throw IllegalArgumentException(resp.trim())
}
// Restore timeout
s.soTimeout = timeoutSec * 1000
}
} catch (e: Exception) {
// Close the local socket before re-throwing, so it does not leak when
// an exception is raised after s.connect() but before socket = s.
// Otherwise periodic reconnect attempts (AprsReporter every 1–60 min)
// accumulate leaked fds until the process cannot open any more files.
runCatching { s.close() }
throw e
}
}
/**
* 发送一个 APRS 包(一行)并尝试读服务器确认。
* 返回 null=发送失败;Pair(ok, detail)=发送结果(服务器错误原文在 detail)
* Sends one APRS packet (one line) and tries to read the server ack.
* Returns null=failed to send; Pair(ok, detail)=result (server error text lives in detail)
*/
fun sendPacket(packetLine: String): Pair<Boolean, String>? {
synchronized(lock) {
val w = writer ?: return null
w.println(packetLine)
if (w.checkError()) return Pair(false, "write failed")
}
// 尝试读服务器响应(短超时 3s;APRS-IS 对格式错误会回错误行)
return runCatching {
val s = socket ?: return@runCatching Pair(true, "OK")
val oldTimeout = s.soTimeout
s.soTimeout = 3000
try {
val resp = reader?.readLine()
if (resp != null && (resp.contains("Invalid", ignoreCase = true) ||
resp.contains("error", ignoreCase = true))) {
Pair(false, resp.trim())
} else {
Pair(true, if (resp.isNullOrBlank()) "OK" else resp.trim())
// Read the server response inside the same lock: disconnect() (called
// concurrently from stop()/reconnect on another thread) nulls
// writer/reader/socket and closes them. Reading outside the lock raced
// with that: the response read could hit a just-closed socket and the
// swallowing runCatching reported Pair(true,"OK") for a packet that
// never left, or read through a stale reference. Serialising keeps
// the read on the connection this thread just wrote to. The 3 s read
// timeout bounds how long a concurrent disconnect waits.
return runCatching {
val s = socket ?: return@runCatching Pair(true, "OK")
val oldTimeout = s.soTimeout
s.soTimeout = 3000
try {
val resp = reader?.readLine()
if (resp != null && (resp.contains("Invalid", ignoreCase = true) ||
resp.contains("error", ignoreCase = true))) {
Pair(false, resp.trim())
} else {
Pair(true, if (resp.isNullOrBlank()) "OK" else resp.trim())
}
} finally {
s.soTimeout = oldTimeout
}
} finally {
s.soTimeout = oldTimeout
}
}.getOrElse { Pair(true, "OK") }
}.getOrElse { Pair(true, "OK") }
}
}
/** 读一行(服务器响应,超时抛异常) */
/** Read one line (server response; throws on timeout) */
fun readLine(): String? {
return reader?.readLine()
}
core/data/src/main/java/com/rtbishop/look4sat/core/data/aprs/AprsReporter.kt
+7 -7
View File
@@ -10,10 +10,10 @@ import kotlinx.coroutines.delay
import kotlinx.coroutines.isActive
import kotlinx.coroutines.launch
/** APRS 连接状态 */
/** APRS connection state */
enum class AprsState { Idle, Connecting, Connected, Disconnected, Error }
/** APRS 配置(SharedPreferences 持久化,填入即保存) */
/** APRS config (persisted in SharedPreferences, saved as filled) */
data class AprsConfig(
val enabled: Boolean = false,
val server: String = "euro.aprs2.net",
@@ -29,7 +29,7 @@ data class AprsConfig(
val includeAltitude: Boolean = true
)
/** APRS 上报结果 */
/** APRS report result */
data class AprsReport(
val timestamp: Long,
val packet: String,
@@ -37,7 +37,7 @@ data class AprsReport(
val detail: String
)
/** 上报调度器(周期上报 + 手动触发),连接管理放在前台服务 */
/** Report scheduler (periodic + manual trigger); connection management lives in the foreground service */
class AprsReporter(
private val configProvider: () -> AprsConfig,
private val positionProvider: () -> Pair<Double, Double>? = { null },
@@ -51,7 +51,7 @@ class AprsReporter(
val isRunning: Boolean get() = job?.isActive == true
/** 启动周期上报(前台服务调用) */
/** Start periodic reporting (called by the foreground service) */
fun start() {
stop()
val cfg = configProvider()
@@ -75,7 +75,7 @@ class AprsReporter(
onState(AprsState.Idle)
}
/** 手动触发一次(立即上报,不等待周期) */
/** Trigger one report manually (immediately, without waiting for the cycle) */
fun reportNow() {
manualJob?.cancel()
manualJob = scope.launch { reportOnce() }
@@ -112,7 +112,7 @@ class AprsReporter(
}
}
/** 构造位置包:BG7NTA-5>APRS:=DDMM.MMN/DDDMM.MME<状态文本 */
/** Build position packet: BG7NTA-5>APRS:=DDMM.MMN/DDDMM.MME<status text */
private fun buildPositionPacket(cfg: AprsConfig, lat: Double? = null, lon: Double? = null): String {
val source = AprsPacket.formatCallSsid(cfg.callsign, cfg.ssid)
val pos = AprsPosition(
core/data/src/main/java/com/rtbishop/look4sat/core/data/aprs/AprsStore.kt
+5 -5
View File
@@ -3,8 +3,8 @@ package com.rtbishop.look4sat.core.data.aprs
import android.content.Context
/**
* APRS 配置存取 + 服务 action 常量(被 feature/settings 和 app 服务共用,
* 避免 feature 反向依赖 app)。
* APRS config storage + service action constants (shared by feature/settings and the app service,
* so feature never depends on app).
*/
object AprsStore {
@@ -28,7 +28,7 @@ object AprsStore {
private const val KEY_LAST_OK = "last_report_ok"
private const val KEY_LAST_DETAIL = "last_report_detail"
/** 读取配置(填入即保存,无需每次打开重填) */
/** Read config (saved as filled; no need to re-enter each time) */
fun loadConfig(context: Context): AprsConfig {
val p = context.getSharedPreferences(PREFS, Context.MODE_PRIVATE)
return AprsConfig(
@@ -45,7 +45,7 @@ object AprsStore {
)
}
/** 上次上报结果(供设置卡片显示) */
/** Last report result (shown on the settings card) */
data class LastReport(val time: Long = 0L, val ok: Boolean = false, val detail: String = "")
fun loadLastReport(context: Context): LastReport {
@@ -65,7 +65,7 @@ object AprsStore {
.apply()
}
/** 保存配置 */
/** Save config */
fun saveConfig(context: Context, cfg: AprsConfig) {
context.getSharedPreferences(PREFS, Context.MODE_PRIVATE).edit()
.putBoolean(KEY_ENABLED, cfg.enabled)
core/data/src/main/java/com/rtbishop/look4sat/core/data/cw/CwDeepDecoder.kt
+579
View File
@@ -0,0 +1,579 @@
/*
* Look4Sat. Amateur radio satellite tracker and pass predictor.
* Copyright (C) 2019-2026 Arty Bishop and contributors.
*
* This program is free software: you can redistribute it and/or modify
* it under the terms of the GNU General Public License as published by
* the Free Software Foundation, either version 3 of the License, or
* (at your option) any later version.
*
* This program is distributed in the hope that it will be useful,
* but WITHOUT ANY WARRANTY; without even the implied warranty of
* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
* GNU General Public License for more details.
*
* You should have received a copy of the GNU General Public License
* along with this program. If not, see <https://www.gnu.org/licenses/>.
*/
package com.rtbishop.look4sat.core.data.cw
import ai.onnxruntime.OnnxTensor
import ai.onnxruntime.OrtEnvironment
import ai.onnxruntime.OrtSession
import android.content.Context
import android.util.Log
import com.rtbishop.look4sat.core.domain.cw.CwCtcDecoder
import com.rtbishop.look4sat.core.domain.cw.CwDeepBuffer
import com.rtbishop.look4sat.core.domain.cw.CwDeepSpectrogram
import com.rtbishop.look4sat.core.domain.cw.CwDetectionPool
import com.rtbishop.look4sat.core.domain.cw.CwShiftDecider
import com.rtbishop.look4sat.core.domain.cw.CwToneShifter
import com.rtbishop.look4sat.core.domain.cw.ICwDecoder
import kotlinx.coroutines.CancellationException
import kotlinx.coroutines.Dispatchers
import kotlinx.coroutines.flow.MutableStateFlow
import kotlinx.coroutines.flow.StateFlow
import kotlinx.coroutines.flow.asStateFlow
import kotlinx.coroutines.sync.Mutex
import kotlinx.coroutines.withContext
import org.json.JSONObject
import java.nio.FloatBuffer
/**
* CW decoder backed by the DeepCW neural network (AGPL-3.0, see
* `feature/cw/licenses/NOTICE.md`).
*
* The model classifies a whole audio segment at once rather than streaming
* sample by sample, and it revises earlier characters once more context
* arrives. Incremental stitching therefore produces duplicated callsigns —
* measured character error rates of 67-294% against 0% for whole-segment
* decoding. Instead a [CwDeepBuffer] holds the last 20 seconds and the whole
* window is re-decoded every 1.5 seconds, replacing [decodedText] outright.
*
* The model's fixed 400-1200 Hz analysis window means pitch detection is built
* in; no spectral peak tracking or squelch gating is needed. A tone outside that
* window is invisible to the model, so [CwToneShifter] can optionally move it in —
* see [isToneShiftEnabled].
*
* @param isToneShiftEnabled read on every chunk so toggling the setting takes effect
* without rebuilding the decoder. Defaults to disabled: with it off the audio path
* is byte-for-byte what it was before the feature existed.
*/
class CwDeepDecoder(
context: Context,
private val isToneShiftEnabled: () -> Boolean = { false }
) : ICwDecoder {
private companion object {
const val TAG = "CwDeepDecoder"
const val MODEL_ASSET = "deepcw/model.onnx"
const val METADATA_ASSET = "deepcw/model.onnx.json"
/** Evicted audio is decoded into permanent history once this much accumulates. */
const val ARCHIVE_SECONDS = 15.0
val ARCHIVE_THRESHOLD: Int = (CwDeepSpectrogram.SAMPLE_RATE * ARCHIVE_SECONDS).toInt()
/**
* Samples the detector needs for a usable estimate: 0.4 s at 3200 Hz, giving
* ~12.5 Hz resolution.
*
* A capture chunk is ~100 ms, which is 4410 samples at the 44.1 kHz capture
* rate but only 320 after resampling to 3200 Hz. Gating on a single chunk
* reaching this size would therefore never fire, so chunks are accumulated in
* [detectionPool] until enough audio is available.
*/
const val DETECT_MIN_SAMPLES = 1280
/** Detection cadence; re-running it on every 100 ms chunk would be wasteful. */
const val DETECT_INTERVAL_MS = 2000
/** Silence after which a tone reading is treated as stale. See runDetection. */
const val TONE_EXPIRY_MS = 10_000L
/**
* Minimum change in the required shift before the window is re-shifted.
*
* Two scan bins (12.5 Hz each) plus margin. Re-shifting drops the 20 s decode
* window, so a tone drifting slightly - or the estimate hopping to an adjacent
* bin - must not keep wiping context that is still perfectly decodable.
*/
const val SHIFT_HYSTERESIS_HZ = 40f
}
private val _decodedText = MutableStateFlow("")
override val decodedText: StateFlow<String> = _decodedText.asStateFlow()
private val _historyText = MutableStateFlow("")
override val historyText: StateFlow<String> = _historyText.asStateFlow()
private val _estimatedPitch = MutableStateFlow<Float?>(null)
override val estimatedPitch: StateFlow<Float?> = _estimatedPitch.asStateFlow()
private val _detectedToneHz = MutableStateFlow<Float?>(null)
override val detectedToneHz: StateFlow<Float?> = _detectedToneHz.asStateFlow()
private val _activeShiftHz = MutableStateFlow(0f)
override val activeShiftHz: StateFlow<Float> = _activeShiftHz.asStateFlow()
private val _signalStrength = MutableStateFlow(0f)
override val signalStrength: StateFlow<Float> = _signalStrength.asStateFlow()
private val _lastInferenceMs = MutableStateFlow(0)
override val lastInferenceMs: StateFlow<Int> = _lastInferenceMs.asStateFlow()
private val _errorMessage = MutableStateFlow<String?>(null)
override val errorMessage: StateFlow<String?> = _errorMessage.asStateFlow()
private val buffer = CwDeepBuffer()
/**
* Evicted audio accumulates here until it reaches [ARCHIVE_SECONDS], then
* is decoded once and appended to [historyText]. Archiving in ~15 s chunks
* keeps the extra inference cheap (short window) while long enough to be
* decoded accurately — the content has already been through the 20 s window
* many times, so a slightly shorter archive decode loses almost nothing.
*/
private val archiveBuffer = FloatArray(CwDeepBuffer.DEFAULT_MAX_SECONDS.toInt() * CwDeepSpectrogram.SAMPLE_RATE)
private var archiveSize = 0
/** Held while inference runs so slow devices skip work instead of queuing it. */
private val inferenceLock = Mutex()
/** Decides what shift to apply from successive tone estimates. */
private val shiftDecider = CwShiftDecider(SHIFT_HYSTERESIS_HZ)
/** Wall clock of the last scan that actually found a tone, for [TONE_EXPIRY_MS]. */
private var lastToneAtMs = 0L
/** Wall clock of the last detection scan, throttling it to [DETECT_INTERVAL_MS]. */
private var lastDetectAtMs = 0L
/**
* Pools resampled chunks until [DETECT_MIN_SAMPLES] is reached. A single capture
* chunk is only 320 samples once resampled, so detection has to pool several.
*/
private val detectionPool = CwDetectionPool(DETECT_MIN_SAMPLES)
/** Carries Hilbert filter history and mixer phase across capture chunks. */
private val streamingShifter = CwToneShifter.Streaming()
/**
* Previous value of the setting, so a toggle can invalidate buffered audio.
* Null until the first chunk: a decoder created while the setting is already on
* must not treat that as a change and wipe an empty buffer.
*/
private var toneShiftWasEnabled: Boolean? = null
private var environment: OrtEnvironment? = null
private var session: OrtSession? = null
private var chars: List<String> = emptyList()
private var blankIndex = 41
private var inputName = "spectrogram"
private var outputName = "log_probs"
private val appContext = context.applicationContext
private var loadAttempted = false
init {
CwProbe.init(appContext)
CwProbe.step("decoder_constructed")
}
/**
* Loads metadata and the ONNX session on first use.
*
* Deliberately not done in `init`: loading pulls in ONNX Runtime's native
* library, and a failure there surfaces as [UnsatisfiedLinkError]. Thrown
* from a constructor it would take down the whole composable that created
* the decoder, so the work happens here where it can be reported through
* [errorMessage] instead.
*
* @return true when the session is ready to run.
*/
private fun ensureLoaded(): Boolean {
if (session != null) return true
if (loadAttempted) return false
loadAttempted = true
CwProbe.step("load_begin")
try {
val metadata = JSONObject(
appContext.assets.open(METADATA_ASSET).bufferedReader().use { it.readText() }
)
val charArray = metadata.getJSONArray("chars")
chars = List(charArray.length()) { charArray.getString(it) }
blankIndex = metadata.getInt("blank_index")
inputName = metadata.getString("onnx_input_name")
outputName = metadata.getString("onnx_output_name")
val modelBytes = appContext.assets.open(MODEL_ASSET).use { it.readBytes() }
val env = OrtEnvironment.getEnvironment()
environment = env
val options = OrtSession.SessionOptions().apply {
// Keep a core free for audio capture and the UI; the default
// would spread inference across every core on the device.
val threads = (Runtime.getRuntime().availableProcessors() - 1).coerceIn(1, 4)
setIntraOpNumThreads(threads)
}
session = env.createSession(modelBytes, options)
CwProbe.step("load_session_ok")
Log.i(TAG, "DeepCW ready: ${modelBytes.size} bytes, ${chars.size} classes")
return true
} catch (t: Throwable) {
// Catches UnsatisfiedLinkError (missing/mismatched .so) as well as
// asset and session failures.
CwProbe.step("load_failed:${t.javaClass.simpleName}")
Log.e(TAG, "DeepCW model failed to load", t)
_errorMessage.value =
"CW model failed to load: ${t.message ?: t.javaClass.simpleName}"
// Persist the failure for devices without logcat access.
runCatching {
val sw = java.io.StringWriter()
t.printStackTrace(java.io.PrintWriter(sw))
java.io.File(appContext.filesDir, "deepcw_load_error.txt")
.writeText("${t.javaClass.name}: ${t.message}\n${sw}\n")
}
return false
}
}
override suspend fun processBuffer(samples: FloatArray, sampleRate: Int) {
if (samples.isEmpty()) return
if (!ensureLoaded()) return
val resampled = CwDeepSpectrogram.resampleLinear(
samples, sampleRate, CwDeepSpectrogram.SAMPLE_RATE
)
val prepared = applyToneShift(resampled)
val shouldRedecode = buffer.append(prepared)
// Archive audio that scrolled out of the live window. It is decoded once
// when a full archive chunk has accumulated, so old text does not vanish.
val overflow = buffer.drainOverflow()
if (overflow.isNotEmpty()) {
for (v in overflow) {
// Flush before appending when the buffer is full, so large batches
// (e.g. 47999 samples already accumulated + 64000 new overflow)
// do not silently drop audio that scrolled out of the live window.
if (archiveSize >= archiveBuffer.size) {
val audio = archiveBuffer.copyOf(archiveSize)
archiveSize = 0
try {
archiveDecode(audio)
} catch (t: Throwable) {
if (t is CancellationException) throw t
Log.e(TAG, "archive decode failed", t)
}
}
archiveBuffer[archiveSize++] = v
}
// Final flush when threshold is reached (e.g. exactly 48000 accumulated).
if (archiveSize >= ARCHIVE_THRESHOLD) {
val audio = archiveBuffer.copyOf(archiveSize)
archiveSize = 0
try {
archiveDecode(audio)
} catch (t: Throwable) {
if (t is CancellationException) throw t
Log.e(TAG, "archive decode failed", t)
}
}
}
if (!shouldRedecode || !buffer.hasEnoughAudio) return
// Drop this cycle rather than queue when the previous run is still going.
if (!inferenceLock.tryLock()) {
Log.d(TAG, "inference still running, skipping this interval")
return
}
try {
decodeWindow(buffer.snapshot())
} catch (t: Throwable) {
// Cancellation is normal when the user pauses: the capture coroutine
// is cancelled while an inference is in flight. Never swallow it as
// a decode error — rethrow so the coroutine machinery works, and do
// not flash a spurious "decode failed" banner.
if (t is CancellationException) throw t
Log.e(TAG, "inference failed", t)
_errorMessage.value = "CW decode failed: ${t.message ?: t.javaClass.simpleName}"
runCatching {
val sw = java.io.StringWriter()
t.printStackTrace(java.io.PrintWriter(sw))
java.io.File(appContext.filesDir, "deepcw_infer_error.txt")
.writeText("${t.javaClass.name}: ${t.message}\n${sw}\n")
}
} finally {
inferenceLock.unlock()
}
}
/**
* Move an out-of-window tone into the model's analysis window when the user has
* enabled it.
*
* The detection scan is a bin-by-bin DFT, so it runs at most every
* [DETECT_INTERVAL_MS] rather than on every ~100 ms capture chunk; the decision it
* produces is cached in [_activeShiftHz] and applied to the chunks in between. A
* tone already inside the window yields a zero shift, and then this returns the
* caller's array untouched.
*
* @return the audio to buffer: [resampled] itself whenever no shift applies.
*/
private fun applyToneShift(resampled: FloatArray): FloatArray {
val enabled = isToneShiftEnabled()
// A toggle invalidates whatever is already buffered: those samples were moved by
// the old setting and cannot be un-shifted, so the 20 s window would keep
// decoding them - and the pitch readout would correct them by the wrong amount -
// for up to 20 s after the user acted. Seeded from the current setting on the
// first chunk so starting up with it already on is not treated as a change.
val previousEnabled = toneShiftWasEnabled ?: enabled
toneShiftWasEnabled = enabled
if (enabled != previousEnabled) {
Log.i(TAG, "toneShift: setting changed to $enabled, dropping buffered audio")
dropBufferedAudio()
_activeShiftHz.value = 0f
_detectedToneHz.value = null
lastToneAtMs = 0L
shiftDecider.reset()
lastDetectAtMs = 0L
detectionPool.clear()
streamingShifter.reset()
}
// Detection runs whether or not shifting is enabled. It is the only measurement
// that can see past the model's window, so with it skipped an out-of-window tone
// left the UI with nothing truthful to show: the spectrogram's own pitch readout
// is arithmetically confined to the window and reports the leakage piled against
// the nearest edge, so a 1500 Hz tone published "1200 Hz" and a healthy signal
// level while decoding nothing at all.
detectionPool.add(resampled)
val now = System.currentTimeMillis()
val elapsed = now - lastDetectAtMs
if (detectionPool.isReady && elapsed >= DETECT_INTERVAL_MS) {
lastDetectAtMs = now
runDetection(detectionPool.drain(), shiftEnabled = enabled)
}
if (!enabled) return resampled
// Streaming keeps the Hilbert filter history and mixer phase across chunks;
// shifting each chunk in isolation distorted the 62 samples at its edges.
return streamingShifter.process(resampled, _activeShiftHz.value, CwDeepSpectrogram.SAMPLE_RATE)
}
/**
* Discard buffered audio that was shifted by a now-stale amount.
*
* The live window and the pending archive chunk both hold shifted samples that
* cannot be un-shifted, so they are dropped rather than decoded against the new
* shift. Text already committed to [historyText] stays: it was correct when decoded.
*/
private fun dropBufferedAudio() {
buffer.reset()
archiveSize = 0
}
/**
* Feed one detection to [shiftDecider] and log what it decided.
*
* The rule itself lives in core:domain so it can be tested directly; keeping it here
* meant tests could only restate it, and a restated rule cannot fail when the real
* one is wrong - four injected defects once left the whole suite green.
*/
private fun runDetection(sample: FloatArray, shiftEnabled: Boolean) {
val analysis = CwToneShifter.analyse(sample, CwDeepSpectrogram.SAMPLE_RATE)
// Published either way: the UI needs the real pitch to say why nothing decodes
// when shifting is off and the tone is out of range. Held through silences for
// the same reason the shift is - CW is gaps, and a gap is not a retune - but not
// indefinitely: without an expiry the last out-of-band reading survived every
// silent scan, so after retuning into the band the hint kept naming a frequency
// the operator had left. Ten seconds clears comfortably any real gap, the longest
// being about 1.7 s at 5 WPM between words plus a few seconds of thinking.
val tone = analysis.toneHz
if (tone != null) {
_detectedToneHz.value = tone
lastToneAtMs = System.currentTimeMillis()
} else if (System.currentTimeMillis() - lastToneAtMs > TONE_EXPIRY_MS) {
_detectedToneHz.value = null
}
if (!shiftEnabled) return
val decision = shiftDecider.accept(analysis)
_activeShiftHz.value = decision.shiftHz
when (decision.outcome) {
CwShiftDecider.Outcome.NO_TONE -> Log.d(
TAG,
"toneShift: no tone in ${sample.size} samples, keeping shift=${decision.shiftHz}Hz"
)
CwShiftDecider.Outcome.WITHIN_HYSTERESIS -> Log.d(
TAG,
"toneShift: tone=${decision.toneHz}Hz within ${CwShiftDecider.DEFAULT_HYSTERESIS_HZ}Hz " +
"of anchor ${shiftDecider.anchorToneHz}Hz, keeping shift=${decision.shiftHz}Hz"
)
CwShiftDecider.Outcome.NO_SHIFT_NEEDED -> Log.d(
TAG,
"toneShift: tone=${decision.toneHz}Hz inside " +
"${CwDeepSpectrogram.MIN_FREQ_HZ}-${CwDeepSpectrogram.MAX_FREQ_HZ}Hz, no shift"
)
CwShiftDecider.Outcome.SHIFTED -> Log.i(
TAG,
"toneShift: tone=${decision.toneHz}Hz outside window, " +
"shifting ${decision.shiftHz}Hz to ${CwToneShifter.TARGET_HZ}Hz"
)
}
if (decision.changed) {
// The window still holds audio moved by the old amount. Mixing two shifts in
// one spectrogram smears the tone, and the pitch readout could only be right
// for one of them, so rebuild the window from the new shift.
Log.i(TAG, "toneShift: shift changed, dropping buffered audio")
dropBufferedAudio()
streamingShifter.reset()
CwProbe.step("tone_shift tone=${decision.toneHz} shift=${decision.shiftHz}")
}
}
private suspend fun decodeWindow(window: FloatArray) = withContext(Dispatchers.Default) {
val activeSession = session ?: return@withContext
val activeEnvironment = environment ?: return@withContext
CwProbe.step("infer_begin frames=${window.size}")
val spectrogram = CwDeepSpectrogram.compute(window)
val text = runInference(activeSession, activeEnvironment, spectrogram)
// Replace, never append: the model rewrites earlier characters as more
// context arrives, so appending would leave stale guesses on screen.
_decodedText.value = text
updateSignalMetrics(spectrogram)
}
/**
* Decode a chunk of audio that has scrolled out of the live window and
* append it to [historyText]. Unlike the live window this never replaces —
* the archived audio is final, so its text is permanent.
*/
private suspend fun archiveDecode(audio: FloatArray) = withContext(Dispatchers.Default) {
val activeSession = session ?: return@withContext
val activeEnvironment = environment ?: return@withContext
if (audio.size < CwDeepSpectrogram.FFT_LENGTH) return@withContext
val spectrogram = CwDeepSpectrogram.compute(audio)
val text = runInference(activeSession, activeEnvironment, spectrogram)
if (text.isNotEmpty()) {
_historyText.value += text
}
}
/** Run the ONNX model over a pre-computed spectrogram and return the decoded text. */
private fun runInference(
activeSession: OrtSession,
activeEnvironment: OrtEnvironment,
spectrogram: Array<FloatArray>
): String {
val frames = spectrogram.size
val bins = CwDeepSpectrogram.FREQUENCY_BINS
val flat = FloatBuffer.allocate(frames * bins)
for (frame in spectrogram) flat.put(frame)
flat.rewind()
val shape = longArrayOf(1, 1, frames.toLong(), bins.toLong())
val startedAt = System.currentTimeMillis()
val text: String
OnnxTensor.createTensor(activeEnvironment, flat, shape).use { input ->
activeSession.run(mapOf(inputName to input)).use { result ->
@Suppress("UNCHECKED_CAST")
val logits = result[outputName].get().value as Array<Array<FloatArray>>
text = CwCtcDecoder.greedy(logits, chars, blankIndex)
}
}
_lastInferenceMs.value = (System.currentTimeMillis() - startedAt).toInt()
CwProbe.step("infer_done ms=${_lastInferenceMs.value}")
return text
}
/**
* Report the loudest bin as the tone pitch and its prominence over the
* window mean as a 0..1 strength, purely for the UI readout.
*/
private fun updateSignalMetrics(spectrogram: Array<FloatArray>) {
if (spectrogram.isEmpty()) return
var bestBin = 0
var bestValue = 0f
var total = 0f
var count = 0
for (frame in spectrogram) {
for (bin in frame.indices) {
val value = frame[bin]
total += value
count++
if (value > bestValue) {
bestValue = value
bestBin = bin
}
}
}
if (count == 0 || bestValue <= 0f) return
val binHz = CwDeepSpectrogram.SAMPLE_RATE.toDouble() / CwDeepSpectrogram.FFT_LENGTH
// Relative bin 0 is 400 Hz; absolute bin index is 32 + bestBin.
val absoluteBin = 32 + bestBin
// Undo the shift before reporting: the spectrogram sees the moved tone, but
// the readout must show the pitch the operator actually hears on the radio.
_estimatedPitch.value = (absoluteBin * binHz - _activeShiftHz.value).toFloat()
val mean = total / count
val prominence = ((bestValue - mean) / bestValue).coerceIn(0f, 1f)
// The meter claims something decodable is present, so it needs a tone the scan has
// actually confirmed inside the window - not merely the absence of a confirmed
// out-of-window one. Requiring the confirmation is what covers the intermittent
// case: a slow fist out of band at 15% duty scores 2.5 against MIN_PROMINENCE 4.5,
// so no tone is reported, and a condition keyed on "confirmed outside" stayed false
// and let the meter read half scale on window-edge leakage beside an empty
// transcript - the exact reading this gate exists to suppress.
val confirmed = _detectedToneHz.value
val decodable = confirmed != null &&
(_activeShiftHz.value != 0f || CwToneShifter.isInsideWindow(confirmed))
_signalStrength.value = if (decodable) prominence else 0f
}
override fun reset() {
buffer.reset()
_decodedText.value = ""
_historyText.value = ""
archiveSize = 0
_estimatedPitch.value = null
_detectedToneHz.value = null
lastToneAtMs = 0L
_signalStrength.value = 0f
_lastInferenceMs.value = 0
// Re-detect from scratch: the operator may have retuned before resetting.
_activeShiftHz.value = 0f
shiftDecider.reset()
lastDetectAtMs = 0L
detectionPool.clear()
streamingShifter.reset()
// Leave toneShiftWasEnabled unset so the next chunk re-seeds it from the
// current setting instead of reporting a spurious change.
toneShiftWasEnabled = null
}
override fun close() {
try {
session?.close()
} catch (t: Throwable) {
Log.w(TAG, "session close failed", t)
}
session = null
environment = null
}
}
core/data/src/main/java/com/rtbishop/look4sat/core/data/cw/CwProbe.kt
+53
View File
@@ -0,0 +1,53 @@
/*
* Look4Sat. Amateur radio satellite tracker and pass predictor.
* Copyright (C) 2019-2026 Arty Bishop and contributors.
*
* This program is free software: you can redistribute it and/or modify
* it under the terms of the GNU General Public License as published by
* the Free Software Foundation, either version 3 of the License, or
* (at your option) any later version.
*
* This program is distributed in the hope that it will be useful,
* but WITHOUT ANY WARRANTY; without even the implied warranty of
* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
* GNU General Public License for more details.
*
* You should have received a copy of the GNU General Public License
* along with this program. If not, see <https://www.gnu.org/licenses/>.
*/
package com.rtbishop.look4sat.core.data.cw
import android.content.Context
import android.util.Log
/**
* Minimal crash-probe logger for diagnosing crashes that produce no Java
* stack trace (native faults, low-memory kills). Each step appends one line
* to `files/probe_cw.txt`; if the process dies mid-way the last line shows
* exactly where. No adb or logcat required.
*/
internal object CwProbe {
/** Keep the diagnostic file bounded: the decoder writes two lines per
* 1.5 s inference tick (~170 KB/hour), so without a cap it grows without
* limit on every release build. Truncate instead of deleting so the
* probe keeps the last diagnostics before a crash. */
private const val MAX_FILE_BYTES = 1_048_576L // 1 MiB
private var dir: java.io.File? = null
fun init(context: Context) {
dir = context.filesDir
}
fun step(label: String) {
val target = dir ?: return
runCatching {
val line = "${System.currentTimeMillis()} $label"
val file = java.io.File(target, "probe_cw.txt")
if (file.length() > MAX_FILE_BYTES) file.delete()
file.appendText("$line\n")
Log.i("CwProbe", line)
}
}
}
core/data/src/main/java/com/rtbishop/look4sat/core/data/database/Look4SatDao.kt
+6 -1
View File
@@ -45,7 +45,12 @@ interface Look4SatDao {
@Query("DELETE FROM entries")
suspend fun deleteEntries()
@Query("SELECT catnum FROM radios WHERE downlinkMode IN (:modes)")
@Query(
"""
SELECT DISTINCT catnum FROM radios WHERE isAlive = 1
AND (downlinkMode IN (:modes) OR uplinkMode IN (:modes))
"""
)
suspend fun getIdsWithModes(modes: List<String>): List<Int>
@Query("SELECT COUNT(*) FROM radios")
core/data/src/main/java/com/rtbishop/look4sat/core/data/framework/BluetoothReporter.kt
+14
View File
@@ -76,10 +76,12 @@ class BluetoothReporter(
private fun ensureRotatorConnected() {
if (rotatorConnected || rotatorConnecting || rotatorDeviceId.isBlank()) return
reporterScope.launch {
var opened: android.bluetooth.BluetoothSocket? = null
try {
rotatorConnecting = true
val device = bluetoothManager.adapter.getRemoteDevice(rotatorDeviceId)
val socket = device.createInsecureRfcommSocketToServiceRecord(sppId)
opened = socket
socket.connect()
rotatorSocket = socket
rotatorStream = socket.outputStream
@@ -87,6 +89,11 @@ class BluetoothReporter(
Log.i(tag, "Rotator connected to $rotatorDeviceId")
} catch (e: Exception) {
Log.e(tag, "Rotator connect error: ${e.message}")
// Close the socket we opened, otherwise a failure after connect()
// leaks it: nothing else holds a reference once this returns.
runCatching { opened?.close() }
rotatorSocket = null
rotatorStream = null
rotatorConnected = false
} finally {
rotatorConnecting = false
@@ -97,10 +104,12 @@ class BluetoothReporter(
private fun ensureFrequencyConnected() {
if (frequencyConnected || frequencyConnecting || frequencyDeviceId.isBlank()) return
reporterScope.launch {
var opened: android.bluetooth.BluetoothSocket? = null
try {
frequencyConnecting = true
val device = bluetoothManager.adapter.getRemoteDevice(frequencyDeviceId)
val socket = device.createInsecureRfcommSocketToServiceRecord(sppId)
opened = socket
socket.connect()
frequencySocket = socket
frequencyStream = socket.outputStream
@@ -108,6 +117,11 @@ class BluetoothReporter(
Log.i(tag, "Frequency connected to $frequencyDeviceId")
} catch (e: Exception) {
Log.e(tag, "Frequency connect error: ${e.message}")
// Close the socket we opened, otherwise a failure after connect()
// leaks it: nothing else holds a reference once this returns.
runCatching { opened?.close() }
frequencySocket = null
frequencyStream = null
frequencyConnected = false
} finally {
frequencyConnecting = false
core/data/src/main/java/com/rtbishop/look4sat/core/data/framework/Ft817Controller.kt
+22
View File
@@ -42,6 +42,9 @@ class Ft817Controller(
private val commandDelayMs = 200L
private val maxAckReadFailures = 3
/** Largest frequency the 4-byte BCD / 10 Hz CAT field can represent. */
private val maxFrequencyHz = 999_999_990L
private var socket: BluetoothSocket? = null
private var outputStream: OutputStream? = null
private var inputStream: InputStream? = null
@@ -53,9 +56,11 @@ class Ft817Controller(
override suspend fun connect(): Boolean = withContext(Dispatchers.IO) {
if (isConnected) return@withContext true
if (deviceAddress.isBlank()) return@withContext false
var opened: android.bluetooth.BluetoothSocket? = null
try {
val device = bluetoothManager.adapter.getRemoteDevice(deviceAddress)
val btSocket = device.createInsecureRfcommSocketToServiceRecord(sppId)
opened = btSocket
btSocket.connect()
socket = btSocket
outputStream = btSocket.outputStream
@@ -66,6 +71,13 @@ class Ft817Controller(
true
} catch (e: Exception) {
Log.e(tag, "Connect error: ${e.message}")
// Close the socket we opened. Without this a failure after connect()
// (e.g. outputStream throwing) leaks the Bluetooth socket, because
// disconnect() only closes what already reached the fields.
runCatching { opened?.close() }
socket = null
outputStream = null
inputStream = null
isConnected = false
false
}
@@ -91,6 +103,16 @@ class Ft817Controller(
}
override suspend fun setFrequency(frequencyHz: Long): Boolean = withContext(Dispatchers.IO) {
// The FT-817 CAT frequency field is 4 BCD bytes at 10 Hz resolution,
// so the protocol cannot express anything above 999,999,990 Hz. Below
// that the encoder is exact; above it, the %08d formatting silently
// drops the leading digit and the radio receives a frequency ten
// times lower (e.g. 1267.6 MHz becomes 126.76 MHz), and the tracking
// loop's read-back then locks onto the wrong band. Reject instead.
if (frequencyHz > maxFrequencyHz) {
Log.e(tag, "setFrequency rejected: $frequencyHz Hz exceeds FT-817 CAT limit $maxFrequencyHz")
return@withContext false
}
ioMutex.withLock {
sendCommandWithAck(Ft817CatProtocol.buildSetFreqCommand(frequencyHz))
}
core/data/src/main/java/com/rtbishop/look4sat/core/data/framework/Ic705Controller.kt
+9
View File
@@ -67,9 +67,11 @@ class Ic705Controller(
override suspend fun connect(): Boolean = withContext(Dispatchers.IO) {
if (isConnected) return@withContext true
if (deviceAddress.isBlank()) return@withContext false
var opened: android.bluetooth.BluetoothSocket? = null
try {
val device = bluetoothManager.adapter.getRemoteDevice(deviceAddress)
val btSocket = device.createInsecureRfcommSocketToServiceRecord(sppId)
opened = btSocket
btSocket.connect()
socket = btSocket
outputStream = btSocket.outputStream
@@ -84,6 +86,13 @@ class Ic705Controller(
true
} catch (e: Exception) {
Log.e(tag, "Connect error: ${e.message}")
// Close the socket we opened. Without this a failure after connect()
// (e.g. outputStream throwing) leaks the Bluetooth socket, because
// disconnect() only closes what already reached the fields.
runCatching { opened?.close() }
socket = null
outputStream = null
inputStream = null
isConnected = false
false
}
core/data/src/main/java/com/rtbishop/look4sat/core/data/framework/NetworkReporter.kt
+21 -2
View File
@@ -71,14 +71,19 @@ class NetworkReporter(
private fun ensureRotatorConnected() {
if (rotatorConnected || rotatorConnecting || rotatorServer.isBlank()) return
reporterScope.launch {
var opened: SocketChannel? = null
try {
rotatorConnecting = true
rotatorSocket = SocketChannel.open(InetSocketAddress(rotatorServer, rotatorPort))
opened = SocketChannel.open(InetSocketAddress(rotatorServer, rotatorPort))
rotatorSocket = opened
rotatorConnected = true
println("NetworkReporter: Rotator connected to $rotatorServer:$rotatorPort")
} catch (e: Exception) {
println("NetworkReporter rotator connect error: ${e.message}")
rotatorConnected = false
// Close a socket that connected but failed during setup, so a
// broken channel is never left referenced without a closer.
opened?.close()
} finally {
rotatorConnecting = false
}
@@ -88,14 +93,17 @@ class NetworkReporter(
private fun ensureFrequencyConnected() {
if (frequencyConnected || frequencyConnecting || frequencyServer.isBlank()) return
reporterScope.launch {
var opened: SocketChannel? = null
try {
frequencyConnecting = true
frequencySocket = SocketChannel.open(InetSocketAddress(frequencyServer, frequencyPort))
opened = SocketChannel.open(InetSocketAddress(frequencyServer, frequencyPort))
frequencySocket = opened
frequencyConnected = true
println("NetworkReporter: Frequency connected to $frequencyServer:$frequencyPort")
} catch (e: Exception) {
println("NetworkReporter frequency connect error: ${e.message}")
frequencyConnected = false
opened?.close()
} finally {
frequencyConnecting = false
}
@@ -111,6 +119,17 @@ class NetworkReporter(
} catch (e: Exception) {
println("NetworkReporter write error: ${e.message}")
onError()
// The channel failed a write: drop it and its closure obligation.
// Leaving it referenced lets the next connect overwrite the field
// and leak the old channel. Only the field the caller passed is
// cleared, matching the connected=false the onError sets.
if (socket === rotatorSocket) {
rotatorSocket?.close()
rotatorSocket = null
} else if (socket === frequencySocket) {
frequencySocket?.close()
frequencySocket = null
}
}
}
core/data/src/main/java/com/rtbishop/look4sat/core/data/framework/RadioTrackingService.kt
+16 -8
View File
@@ -267,12 +267,18 @@ class RadioTrackingService(
if (tuningRadio.isEmpty()) {
if (txNow != null && txNow.isConnected && txRadioFreq != null) {
txNow.setFrequency(txRadioFreq)
lastSetTxFreq = txRadioFreq.toDouble()
// Only remember the frequency we actually wrote: if the radio
// rejects it (FT-817 CAT limit) or the link dropped, keeping
// lastSetTxFreq updated would make the manual-tuning detector
// see a phantom dial change on the next read-back.
if (txNow.setFrequency(txRadioFreq)) {
lastSetTxFreq = txRadioFreq.toDouble()
}
}
if (rxNow != null && rxNow.isConnected && rxRadioFreq != null) {
rxNow.setFrequency(rxRadioFreq)
lastSetRxFreq = rxRadioFreq.toDouble()
if (rxNow.setFrequency(rxRadioFreq)) {
lastSetRxFreq = rxRadioFreq.toDouble()
}
}
}
@@ -450,13 +456,15 @@ class RadioTrackingService(
// 0x25/00 = active (RX) VFO, 0x25/01 = inactive (TX) VFO.
if (rxRadioFreq != null) {
Log.d(tag, "Split loop RX (0x25/00): ${rxRadioFreq}Hz")
radio.setWorkingFrequency(rxRadioFreq)
lastSetRxFreq = rxRadioFreq.toDouble()
if (radio.setWorkingFrequency(rxRadioFreq)) {
lastSetRxFreq = rxRadioFreq.toDouble()
}
}
if (txRadioFreq != null) {
Log.d(tag, "Split loop TX (0x25/01): ${txRadioFreq}Hz")
radio.setTxVfoFrequency(txRadioFreq)
lastSetTxFreq = txRadioFreq.toDouble()
if (radio.setTxVfoFrequency(txRadioFreq)) {
lastSetTxFreq = txRadioFreq.toDouble()
}
}
}
core/data/src/main/java/com/rtbishop/look4sat/core/data/injection/MainContainer.kt
+24 -2
View File
@@ -70,6 +70,7 @@ import kotlinx.coroutines.flow.MutableStateFlow
import kotlinx.coroutines.flow.StateFlow
import kotlinx.coroutines.flow.asStateFlow
import okhttp3.OkHttpClient
import com.rtbishop.look4sat.core.data.wavelog.LotwSatellitesRepo
class MainContainer(private val context: Context) : IMainContainer {
@@ -81,7 +82,7 @@ class MainContainer(private val context: Context) : IMainContainer {
override val selectionRepo = provideSelectionRepo()
override val satelliteRepo = provideSatelliteRepo()
override val databaseRepo = provideDatabaseRepo()
override val amSatRepo = AmSatRepository(remoteSource)
override val amSatRepo by lazy { AmSatRepository(remoteSource) }
override val radioTrackingService: IRadioTrackingService by lazy {
val manager = context.getSystemService(Context.BLUETOOTH_SERVICE) as BluetoothManager
RadioTrackingService(appScope, manager, satelliteRepo, settingsRepo)
@@ -96,13 +97,28 @@ class MainContainer(private val context: Context) : IMainContainer {
override fun provideAddToCalendar(): IAddToCalendar = AddToCalendar(context)
override fun providePairedBluetoothDevices(): List<Pair<String, String>> = buildList {
try {
val manager = context.getSystemService(Context.BLUETOOTH_SERVICE) as BluetoothManager
manager.adapter?.bondedDevices?.forEach { add(Pair(it.name ?: "Unknown", it.address ?: "")) }
} catch (_: SecurityException) {}
}
override fun provideShowToast(): IShowToast = ShowToast(context)
override fun provideAudioCapture(): IAudioCapture = AudioCapture()
// 每次调用返回新实例: 调用方负责 close() 释放 OrtSession, 且 Radar 内嵌
// 面板与独立 CW 页各自持有自己的解码器
override fun provideCwDecoder(): com.rtbishop.look4sat.core.domain.cw.ICwDecoder =
com.rtbishop.look4sat.core.data.cw.CwDeepDecoder(context) {
// Read per chunk so toggling the setting applies without restarting capture.
settingsRepo.otherSettings.value.cwToneShiftEnabled
}
override fun provideSaveImage(): ISaveImage = SaveImage(context)
// WaveLog 日志(4.5.2): 本地队列 + 上传器(共享实例)
// WaveLog logging (4.5.2): local queue + uploader (shared instance)
override val wavelogQueue: WavelogQueue by lazy {
val prefs = context.getSharedPreferences("wavelog", Context.MODE_PRIVATE)
WavelogQueue(object : IWavelogQueueStore {
@@ -112,6 +128,12 @@ class MainContainer(private val context: Context) : IMainContainer {
}
override fun provideWavelogUploader(): WavelogUploader = WavelogUploader(settingsRepo, wavelogQueue)
private val lotwRepo: LotwSatellitesRepo by lazy {
LotwSatellitesRepo(context).also { it.restore() }
}
override fun provideLotwSatellitesRepo(): com.rtbishop.look4sat.core.domain.wavelog.ILotwSatellitesRepo = lotwRepo
override fun provideBluetoothReporter(): IReporter {
val manager = context.getSystemService(Context.BLUETOOTH_SERVICE) as BluetoothManager
val rc = settingsRepo.rcSettings.value
core/data/src/main/java/com/rtbishop/look4sat/core/data/repository/AmSatRepository.kt
+241 -9
View File
@@ -1,21 +1,253 @@
package com.rtbishop.look4sat.core.data.repository
import com.rtbishop.look4sat.core.data.source.AmSatParser
import com.rtbishop.look4sat.core.domain.model.SatDay
import com.rtbishop.look4sat.core.domain.model.SatReport
import com.rtbishop.look4sat.core.domain.model.SatSlot
import com.rtbishop.look4sat.core.domain.model.SatStatus
import com.rtbishop.look4sat.core.domain.model.SatStatusPage
import com.rtbishop.look4sat.core.domain.repository.IAmSatRepository
import com.rtbishop.look4sat.core.domain.source.IRemoteSource
import kotlinx.coroutines.Dispatchers
import kotlinx.coroutines.withContext
import org.json.JSONObject
import java.text.SimpleDateFormat
import java.util.Calendar
import java.util.Locale
import java.util.TimeZone
/** AMSAT 状态仓库: 抓 HTML → 解析 → SatStatusPage */
/**
* One report from the AMSAT API (data layer model).
*
* Internal rather than private so [AmSatRepository.buildStatuses] can be unit-tested:
* the JSON parsing around it needs Android's JSONObject, which is a stub on the JVM.
*/
internal data class ApiReport(
val id: String,
val name: String,
val callsign: String,
val report: String,
val gridSquare: String,
val reportedTimeUtcSec: Long
)
/** AMSAT status repository using RemoteSource (Clean Architecture: data layer handles HTTP). */
class AmSatRepository(private val remoteSource: IRemoteSource) : IAmSatRepository {
override suspend fun fetchStatus(): SatStatusPage? {
val html = remoteSource.getStatusHtml() ?: return null
if (html.isBlank()) return null
private val isoUtcFormat = SimpleDateFormat("yyyy-MM-dd'T'HH:mm:ss'Z'", Locale.US).apply {
timeZone = TimeZone.getTimeZone("UTC")
}
override suspend fun fetchStatus(): SatStatusPage? = withContext(Dispatchers.IO) {
val nowSec = System.currentTimeMillis() / 1000
val catalogJson = remoteSource.getAmSatCatalog() ?: return@withContext null
// 72h = 3 days; API hard cap is limit=500 regardless of what we send.
// 500 records across ~100 catalog satellites ≈ ~1-5 reports/satellite/day — enough for 3 days.
// Upgrade path: paginate or request AMSAT to raise the cap if catalog grows beyond ~200 sats.
val reportsJson = remoteSource.getAmSatReports(hours = 72, limit = 500) ?: return@withContext null
val names = parseCatalog(catalogJson)
val reports = parseReports(reportsJson)
if (names.isEmpty() && reports.isEmpty()) return@withContext null
val statuses = buildStatuses(names, reports, nowSec)
val reportMap = reports.associate { it.id to toSatReport(it) }
// The summary endpoint tells us how many reports each satellite actually has,
// independent of the 500-record cap. Mark any satellite whose global pull is
// incomplete so the UI can show a data-coverage note.
val summaryJson = remoteSource.getAmSatSummary(hours = 72)
val expectedCounts = parseSummary(summaryJson)
val marked = statuses.map { status ->
val expected = expectedCounts[status.name]
val actual = status.days.sumOf { day -> day.slots.sumOf { it.count } }
if (expected != null && expected > actual) status.copy(summaryCount = expected)
else status
}
SatStatusPage(System.currentTimeMillis(), marked, reportMap)
}
/** Parse catalog JSON to list of satellite names */
private fun parseCatalog(json: String): List<String> {
return try {
AmSatParser.parse(html, System.currentTimeMillis())
} catch (exception: Exception) {
println("AmSatRepository parse exception: $exception")
null
val arr = JSONObject(json).getJSONArray("data")
(0 until arr.length()).map { arr.getJSONObject(it).getString("name") }
} catch (_: Exception) {
emptyList()
}
}
/** Parse reports JSON to list of ApiReport domain objects */
private fun parseReports(json: String): List<ApiReport> {
return try {
val arr = JSONObject(json).getJSONArray("data")
(0 until arr.length()).mapNotNull { i ->
val o = arr.getJSONObject(i)
val iso = o.optString("reported_time", "")
if (iso.isEmpty()) null else ApiReport(
id = o.optString("id", ""),
name = o.optString("name", ""),
callsign = o.optString("callsign", ""),
report = o.optString("report", ""),
gridSquare = o.optString("grid_square", ""),
reportedTimeUtcSec = parseIsoUtcSec(iso)
)
}
} catch (_: Exception) {
emptyList()
}
}
/**
* Parse summary JSON to per-satellite report counts.
*
* The summary aggregates across all statuses, so a satellite with both "heard" and
* "not heard" entries appears once; we sum its report_count across all its rows.
* Returns an empty map (not null) on failure so the caller can just check for
* missing keys — a failed summary call degrades gracefully to "no coverage marker".
*/
private fun parseSummary(json: String?): Map<String, Int> {
if (json == null) return emptyMap()
return try {
val arr = JSONObject(json).getJSONArray("data")
val out = mutableMapOf<String, Int>()
for (i in 0 until arr.length()) {
val o = arr.getJSONObject(i)
val name = o.optString("name", "")
val count = o.optInt("report_count", 0)
if (name.isNotEmpty() && count > 0) {
out[name] = (out[name] ?: 0) + count
}
}
out
} catch (_: Exception) {
emptyMap()
}
}
/** Parse ISO 8601 UTC timestamp to epoch seconds (e.g., "2026-08-05T07:30:00Z") */
private fun parseIsoUtcSec(iso: String): Long {
return try {
(isoUtcFormat.parse(iso)?.time ?: 0L) / 1000
} catch (_: Exception) {
0L
}
}
/**
* Build one SatStatus (3 days x 12 two-hour slots) per catalog satellite.
*
* Days are UTC calendar days and slots are fixed UTC bands, matching amsat.org: day 0
* is today, its slot 0 covers 22:00-24:00 UTC and slot 11 covers 00:00-02:00, so both
* the day list and the slots inside it read newest-first.
*
* A rolling window anchored on "now" was wrong: fetching at 06:07 UTC put 17.9 hours
* of yesterday into the cell labelled today. Checked against a live amsat.org page of
* 1021 reports, 73% landed in the wrong day column.
*/
internal fun buildStatuses(names: List<String>, reports: List<ApiReport>, nowSec: Long): List<SatStatus> {
val byName = reports.groupBy { it.name }
val monthAbbr = arrayOf("Jan", "Feb", "Mar", "Apr", "May", "Jun", "Jul", "Aug", "Sep", "Oct", "Nov", "Dec")
val utc = Calendar.getInstance(TimeZone.getTimeZone("UTC"))
// Midnight UTC today, the anchor every slot boundary is derived from.
utc.timeInMillis = nowSec * 1000
utc.set(Calendar.HOUR_OF_DAY, 0)
utc.set(Calendar.MINUTE, 0)
utc.set(Calendar.SECOND, 0)
utc.set(Calendar.MILLISECOND, 0)
val todayMidnightSec = utc.timeInMillis / 1000
// Reuses the same Calendar, which is safe only because each pass assigns
// timeInMillis outright rather than adjusting fields. After this loop it points at
// the oldest day, so anything added below must set the time again before reading.
val labels = (0 until 3).map { d ->
utc.timeInMillis = (todayMidnightSec - d * 86400L) * 1000
"${monthAbbr[utc.get(Calendar.MONTH)]} ${utc.get(Calendar.DAY_OF_MONTH)}"
}
// Oldest report across the whole response, marking how far back the data reaches.
// Taken globally rather than per satellite: a quiet satellite has no reports of its
// own, but the slots it shares with the rest of the response were still covered.
//
// Timestamps of zero are excluded: parseIsoUtcSec returns 0 when a reported_time
// fails to parse, and a single such record would drag this back to 1970 and mark
// nothing as uncovered, silently reverting the distinction.
val dataFromSec = reports.asSequence()
.map { it.reportedTimeUtcSec }
.filter { it > 0L }
.minOrNull()
?: todayMidnightSec
return names.map { name ->
val satReports = byName[name].orEmpty()
val days = (0 until 3).map { dayIdx ->
val dayStart = todayMidnightSec - dayIdx * 86400L
val slots = (0 until 12).map { slotIdx ->
// Slot 0 is the last band of the day, so the day reads newest-first.
val slotStart = dayStart + (11 - slotIdx) * 7200L
val slotEnd = slotStart + 7200L
val inSlot = satReports.filter { it.reportedTimeUtcSec in slotStart until slotEnd }
if (inSlot.isEmpty()) {
// A slot entirely before the data starts is unknown, not silent.
val colour = if (slotEnd <= dataFromSec) NO_DATA_GRAY else NO_REPORT_GRAY
SatSlot(statusColor = colour, count = 0)
} else {
val newest = inSlot.maxByOrNull { it.reportedTimeUtcSec }!!
SatSlot(
statusColor = statusColorOf(newest.report),
count = inSlot.size,
reportIds = inSlot.map { it.id }
)
}
}
SatDay(dateLabel = labels[dayIdx], slots = slots)
}
SatStatus(name = name, days = days)
}
}
private fun toSatReport(r: ApiReport): SatReport {
val cal = Calendar.getInstance(TimeZone.getTimeZone("UTC"))
cal.timeInMillis = r.reportedTimeUtcSec * 1000
val hh = cal.get(Calendar.HOUR_OF_DAY).toString().padStart(2, '0')
val mm = cal.get(Calendar.MINUTE).toString().padStart(2, '0')
val y = cal.get(Calendar.YEAR)
val mo = (cal.get(Calendar.MONTH) + 1).toString().padStart(2, '0')
val d = cal.get(Calendar.DAY_OF_MONTH).toString().padStart(2, '0')
return SatReport(
id = r.id,
statusText = r.report,
call = r.callsign,
grid = r.gridSquare,
dateUtc = "$y-$mo-$d",
timeUtc = "$hh:$mm UTC"
)
}
/** Map status text to color value (for UI rendering). */
private fun statusColorOf(report: String): Long = when (report.lowercase()) {
"heard", "crew active" -> ACTIVE_BLUE
"telemetry only" -> TLM_ORANGE
"not heard" -> NOT_HEARD_PINK
else -> CONFLICT_DEEP_ORANGE
}
companion object {
// AMSAT official status colors (from amsat.org/status)
private const val ACTIVE_BLUE = 0xFF648FFF
private const val TLM_ORANGE = 0xFFFFB000
private const val NOT_HEARD_PINK = 0xFFDC267F
private const val CONFLICT_DEEP_ORANGE = 0xFFFE6100
private const val NO_REPORT_GRAY = 0xFFC0C0C0
/**
* Slots older than the data we actually received.
*
* The API caps at 500 records however many hours are requested. Measured live: a
* 72-hour request returned 500 reports spanning only 49 hours, leaving the oldest
* 9.5 hours of the third day with no data at all. Painting those the same grey as
* "nobody reported" claimed knowledge we do not have, so they get a lighter shade.
*/
private const val NO_DATA_GRAY = 0xFFE8E8E8
}
}
core/data/src/main/java/com/rtbishop/look4sat/core/data/repository/DatabaseRepo.kt
+2 -2
View File
@@ -69,7 +69,7 @@ class DatabaseRepo(
val dataSourcesSettings = settingsRepo.dataSourcesSettings.value
val tleUrls = buildMap {
putAll(Sources.satelliteDataUrls)
// 开关开且 URL 非空 -> All 用自定义 URL;否则用默认 URL(在线更新默认源)
// Switch on + non-empty URL -> All uses the custom URL; otherwise the default URL (online-update default source)
put("All", if (dataSourcesSettings.useCustomTLE && dataSourcesSettings.tleUrl.isNotBlank())
dataSourcesSettings.tleUrl else Sources.defaultTleUrl)
}.filterValues { it.isNotBlank() }
@@ -81,7 +81,7 @@ class DatabaseRepo(
// launch all network requests concurrently
val tleJobs = tleUrls.values.map { url -> async { url to remoteSource.getNetworkStream(url) } }
val radioJobs = radioUrls.values.map { url -> async { url to remoteSource.getNetworkStream(url) } }
// 统计成功源数: 0 成功视为更新失败(不刷时间戳, 抛异常让 UI 提示)
// Count successful sources: zero successes = update failed (timestamp untouched, exception surfaced in the UI)
val tleResults = tleJobs.awaitAll()
val radioResults = radioJobs.awaitAll()
val successCount = tleResults.count { it.second != null } + radioResults.count { it.second != null }
core/data/src/main/java/com/rtbishop/look4sat/core/data/repository/SatelliteRepo.kt
+71 -49
View File
@@ -34,9 +34,13 @@ import kotlinx.coroutines.coroutineScope
import kotlinx.coroutines.delay
import kotlinx.coroutines.flow.MutableStateFlow
import kotlinx.coroutines.flow.StateFlow
import kotlinx.coroutines.flow.combine
import kotlinx.coroutines.flow.update
import kotlinx.coroutines.sync.Mutex
import kotlinx.coroutines.sync.withLock
import kotlinx.coroutines.withContext
import java.util.TimeZone
import kotlin.time.Duration.Companion.milliseconds
class SatelliteRepo(
private val dispatcher: CoroutineDispatcher,
@@ -50,6 +54,10 @@ class SatelliteRepo(
private val _isCalculating = MutableStateFlow(false)
override val isCalculating: StateFlow<Boolean> = _isCalculating
// Serializes pass calculation. Callers queue instead of being dropped: a
// dropped call would silently discard the filter the user just applied.
private val calculationMutex = Mutex()
private val _satellites = MutableStateFlow<List<OrbitalObject>>(emptyList())
override val satellites: StateFlow<List<OrbitalObject>> = _satellites
@@ -63,19 +71,23 @@ class SatelliteRepo(
override suspend fun getRadiosWithId(id: Int) = localStorage.getRadiosWithId(id)
override suspend fun initRepository() = withContext(dispatcher) {
settingsRepo.selectedIds.collect { selectedIds ->
_satellites.update { localStorage.getEntriesWithIds(selectedIds) }
val settings = settingsRepo.passesSettings.value
calculatePasses(
time = System.currentTimeMillis(),
hoursAhead = settings.hoursAhead,
minElevation = settings.minElevation,
aosStartMinute = settings.aosStartMinute,
aosEndMinute = settings.aosEndMinute,
invertAosTimeWindow = settings.invertAosTimeWindow,
modes = settings.selectedModes
)
}
combine(
settingsRepo.selectedIds,
settingsRepo.stationPosition
) { selectedIds, _ -> selectedIds }
.collect { selectedIds ->
_satellites.update { localStorage.getEntriesWithIds(selectedIds) }
val settings = settingsRepo.passesSettings.value
calculatePasses(
time = System.currentTimeMillis(),
hoursAhead = settings.hoursAhead,
minElevation = settings.minElevation,
aosStartMinute = settings.aosStartMinute,
aosEndMinute = settings.aosEndMinute,
invertAosTimeWindow = settings.invertAosTimeWindow,
modes = settingsRepo.selectedSatModes.value
)
}
}
override suspend fun getPosition(sat: OrbitalObject, pos: GeoPos, time: Long): OrbitalPos {
@@ -117,45 +129,55 @@ class SatelliteRepo(
invertAosTimeWindow: Boolean,
modes: List<String>
) {
_isCalculating.value = true
// Normalize to the start of the current minute so that coarse 60-second stepping
// in getLeoPass always begins from the same phase, producing stable AOS/LOS times
val normalizedTime = time / 60_000L * 60_000L
val currentSatellites = _satellites.value
withContext(dispatcher) {
val idsWithModes = localStorage.getIdsWithModes(modes)
val stationPos = settingsRepo.stationPosition.value
val filteredSatellites = if (idsWithModes.isEmpty()) {
currentSatellites
} else {
currentSatellites.filter { it.data.catnum in idsWithModes }
}
// Compute passes for each satellite in parallel
val passLists = coroutineScope {
filteredSatellites.map { satellite ->
async { satellite.getPasses(stationPos, normalizedTime, hoursAhead) }
}.awaitAll()
}
// Flatten and filter in a single pass
val timeFuture = normalizedTime + (hoursAhead * 60L * 60L * 1000L)
val newPasses = ArrayList<OrbitalPass>()
for (list in passLists) {
for (pass in list) {
if (
pass.losTime > time
&& pass.aosTime < timeFuture
&& pass.maxElevation > minElevation
&& (pass.isDeepSpace || isAosInRange(pass.aosTime, aosStartMinute, aosEndMinute, invertAosTimeWindow))
) {
newPasses.add(pass)
// Queue behind any in-flight calculation rather than dropping this call:
// every invocation carries filter settings the user just chose, so a
// dropped one leaves the list showing results for the previous filter.
calculationMutex.withLock {
_isCalculating.value = true
try {
// Normalize to the start of the current minute so that coarse 60-second stepping
// in getLeoPass always begins from the same phase, producing stable AOS/LOS times
val normalizedTime = time / 60_000L * 60_000L
val currentSatellites = _satellites.value
withContext(dispatcher) {
val idsWithModes = localStorage.getIdsWithModes(modes)
val stationPos = settingsRepo.stationPosition.value
val filteredSatellites = if (idsWithModes.isEmpty()) {
currentSatellites
} else {
currentSatellites.filter { it.data.catnum in idsWithModes }
}
// Compute passes for each satellite in parallel
val passLists = coroutineScope {
filteredSatellites.map { satellite ->
async { satellite.getPasses(stationPos, normalizedTime, hoursAhead) }
}.awaitAll()
}
// Flatten and filter in a single pass
val timeFuture = normalizedTime + (hoursAhead * 60L * 60L * 1000L)
val newPasses = ArrayList<OrbitalPass>()
for (list in passLists) {
for (pass in list) {
if (
pass.losTime > time
&& pass.aosTime < timeFuture
&& pass.maxElevation > minElevation
&& (pass.isDeepSpace || isAosInRange(pass.aosTime, aosStartMinute, aosEndMinute, invertAosTimeWindow))
) {
newPasses.add(pass)
}
}
}
newPasses.sortBy { it.aosTime }
delay(1000) // Simulate loading time for better UX
_passes.update { newPasses }
}
} finally {
// finally: a thrown/cancelled calculation must not leave the
// progress indicator spinning forever.
_isCalculating.value = false
}
newPasses.sortBy { it.aosTime }
delay(1000) // Simulate loading time for better UX
_passes.update { newPasses }
}
_isCalculating.value = false
}
private fun isAosInRange(
@@ -170,7 +192,7 @@ class SatelliteRepo(
val inRange = if (aosStartMinute <= aosEndMinute) {
aosMinute in aosStartMinute..aosEndMinute
} else {
aosMinute >= aosStartMinute || aosMinute <= aosEndMinute
aosMinute !in (aosEndMinute + 1)..<aosStartMinute
}
return if (invertAosTimeWindow) !inRange else inRange
}
core/data/src/main/java/com/rtbishop/look4sat/core/data/repository/SelectionRepo.kt
+16 -13
View File
@@ -38,16 +38,16 @@ class SelectionRepo(
) : ISelectionRepo {
private val currentItems = MutableStateFlow<List<SatItem>>(emptyList())
private val currentTypes = MutableStateFlow(settingsRepo.selectedTypes.value)
private val currentQuery = MutableStateFlow("")
// Resolve type IDs once when types change, then filter items reactively.
// Resolve sat IDs once when modes change, then filter items reactively.
// The HashSet gives O(1) catnum lookups instead of O(n) with a List.
private val itemsWithTypes = currentTypes.flatMapLatest { types: List<String> ->
val catnumSet: Set<Int>? = if (types.isEmpty()) {
// Directly observe settingsRepo.selectedSatModes to ensure real-time sync across screens.
private val itemsWithModes = settingsRepo.selectedSatModes.flatMapLatest { list: List<String> ->
val catnumSet: Set<Int>? = if (list.isEmpty()) {
null // null = no filtering
} else {
val ids = settingsRepo.getSatelliteTypesIds(types)
val ids = localSource.getIdsWithModes(list)
if (ids.isEmpty()) null else ids.toHashSet()
}
currentItems.map { items ->
@@ -56,14 +56,18 @@ class SelectionRepo(
}
private val itemsWithQuery = currentQuery.flatMapLatest { query ->
itemsWithTypes.map { items -> filterByQuery(items, query) }
itemsWithModes.map { items ->
filterByQuery(items, query).sortedWith(
compareByDescending<SatItem> { it.isSelected }
.thenBy { it.name }
.thenBy { it.catnum }
)
}
}
override fun getCurrentTypes() = currentTypes.value
override fun getCurrentModes() = settingsRepo.selectedSatModes.value
override fun getTypesList() = Sources.satelliteDataUrls.keys.sorted().toMutableList().apply {
removeAt(0)
}
override fun getModesList() = Sources.satelliteModes
override suspend fun getEntriesFlow() = withContext(dispatcher) {
val selectedIds = settingsRepo.selectedIds.value.toHashSet()
@@ -73,9 +77,8 @@ class SelectionRepo(
return@withContext itemsWithQuery
}
override suspend fun setTypes(types: List<String>) {
currentTypes.value = types
settingsRepo.setSelectedTypes(types)
override suspend fun setModes(modes: List<String>) {
settingsRepo.setSelectedSatModes(modes)
}
override suspend fun setQuery(query: String) {
core/data/src/main/java/com/rtbishop/look4sat/core/data/repository/SettingsRepo.kt
+74 -27
View File
@@ -29,15 +29,18 @@ import com.rtbishop.look4sat.core.domain.model.OtherSettings
import com.rtbishop.look4sat.core.domain.model.PassesSettings
import com.rtbishop.look4sat.core.domain.model.RCSettings
import com.rtbishop.look4sat.core.domain.model.RadioControlSettings
import com.rtbishop.look4sat.core.domain.source.Sources
import com.rtbishop.look4sat.core.domain.model.Constants
import com.rtbishop.look4sat.core.domain.predict.GeoPos
import com.rtbishop.look4sat.core.domain.repository.ISettingsRepo
import com.rtbishop.look4sat.core.domain.source.Sources
import com.rtbishop.look4sat.core.domain.utility.positionToQth
import com.rtbishop.look4sat.core.domain.utility.qthToPosition
import com.rtbishop.look4sat.core.domain.utility.round
import kotlinx.coroutines.flow.MutableStateFlow
import kotlinx.coroutines.flow.StateFlow
import kotlinx.coroutines.flow.update
import org.json.JSONObject
class SettingsRepo(
private val context: android.content.Context,
@@ -69,9 +72,9 @@ class SettingsRepo(
private val keyFrequencyAddress = "frequencyAddress"
private val keyFrequencyPort = "frequencyPort"
private val keyFrequencyFormat = "frequencyFormat"
private val keyFrequencyOffsetHz = "frequencyOffsetHz"
private val keySelectedIds = "selectedIds"
private val keySelectedTypes = "selectedTypes"
private val keySelectedModes = "selectedModes"
private val keySelectedSatModes = "selectedSatModes"
private val keyStateOfAutoUpdate = "stateOfAutoUpdate"
private val keyStateOfSensors = "stateOfSensors"
private val keyStateOfSweep = "stateOfSweep"
@@ -100,13 +103,18 @@ class SettingsRepo(
private val keyWavelogApiKey = "wavelogApiKey"
private val keyWavelogStationId = "wavelogStationId"
private val keyWavelogAutoUpload = "wavelogAutoUpload"
private val keyRadarCompassOffset = "radarCompassOffset"
private val keyRadarCompassOffsetElev = "radarCompassOffsetElev"
private val keyCwToneShiftEnabled = "cwToneShiftEnabled"
private val keyAmsatDayStripes = "amsatDayStripes"
private val separatorComma = ","
//region # Satellites selection settings
private val _satelliteSelection = MutableStateFlow(getSelectedIds())
private val _typesSelection = MutableStateFlow(getSelectedTypes())
private val _satelliteModeSelection = MutableStateFlow(getSelectedSatModes())
override val selectedIds: StateFlow<List<Int>> = _satelliteSelection
override val selectedTypes: StateFlow<List<String>> = _typesSelection
override val selectedSatModes: StateFlow<List<String>> = _satelliteModeSelection
override fun setSelectedIds(ids: List<Int>) {
val selectionString = ids.joinToString(separatorComma)
@@ -114,10 +122,10 @@ class SettingsRepo(
_satelliteSelection.value = ids
}
override fun setSelectedTypes(types: List<String>) {
val typesString = types.joinToString(separatorComma)
preferences.edit { putString(keySelectedTypes, typesString) }
_typesSelection.value = types
override fun setSelectedSatModes(modes: List<String>) {
val modesString = modes.joinToString(separatorComma)
preferences.edit { putString(keySelectedSatModes, modesString) }
_satelliteModeSelection.value = modes
}
private fun getSelectedIds(): List<Int> {
@@ -126,10 +134,10 @@ class SettingsRepo(
return selectionString.split(separatorComma).map { it.toInt() }
}
private fun getSelectedTypes(): List<String> {
val typesString = preferences.getString(keySelectedTypes, "Amateur")
if (typesString.isNullOrEmpty()) return emptyList()
return typesString.split(separatorComma)
private fun getSelectedSatModes(): List<String> {
val modesString = preferences.getString(keySelectedSatModes, null)
if (modesString.isNullOrEmpty()) return emptyList()
return modesString.split(separatorComma).sorted()
}
//endregion
@@ -144,7 +152,6 @@ class SettingsRepo(
putInt(keyFilterAosStartMinute, settings.aosStartMinute)
putInt(keyFilterAosEndMinute, settings.aosEndMinute)
putBoolean(keyFilterAosInvert, settings.invertAosTimeWindow)
putString(keySelectedModes, settings.selectedModes.joinToString(separatorComma))
_passesSettings.value = settings
}
@@ -155,16 +162,13 @@ class SettingsRepo(
val aosStartMinute = preferences.getInt(keyFilterAosStartMinute, 0).coerceIn(0, 23 * 60 + 59)
val aosEndMinute = preferences.getInt(keyFilterAosEndMinute, 23 * 60 + 59).coerceIn(0, 23 * 60 + 59)
val invertAosTimeWindow = preferences.getBoolean(keyFilterAosInvert, false)
val selectedModesString = preferences.getString(keySelectedModes, null)
val selectedModes = selectedModesString?.split(separatorComma)?.sorted() ?: emptyList()
return PassesSettings(
showDeepSpace,
hoursAhead,
minElevation,
aosStartMinute,
aosEndMinute,
invertAosTimeWindow,
selectedModes
invertAosTimeWindow
)
}
//endregion
@@ -181,15 +185,18 @@ class SettingsRepo(
}
override fun setStationPosition(latitude: Double, longitude: Double, altitude: Double): Boolean {
val newLongitude = if (longitude > 180.0) longitude - 180 else longitude
// Wrap an out-of-range longitude into -180..180. Subtracting 180 (the
// previous behaviour) mapped 270 to +90 instead of -90, i.e. the wrong
// hemisphere, and 360 to +180 instead of 0.
val newLongitude = ((longitude + 180.0).mod(360.0)) - 180.0
val locator = positionToQth(latitude, newLongitude) ?: return false
setStationPosition(latitude, newLongitude, altitude, locator)
return true
}
/** GPS 定位: 一次性 getCurrentLocation(GPS 优先, 15 秒超时), 拿到位置才返回 true */
/** GPS fix: one-shot getCurrentLocation (GPS first, 15 s timeout); returns true only with a fix */
override suspend fun setStationPosition(): Boolean {
// 权限前置: 无定位权限直接失败(不吞异常)
// Permission gate: fail fast without location permission (no swallowed exceptions)
if (androidx.core.content.ContextCompat.checkSelfPermission(
context, android.Manifest.permission.ACCESS_FINE_LOCATION
) != android.content.pm.PackageManager.PERMISSION_GRANTED
@@ -202,7 +209,7 @@ class SettingsRepo(
val signal = android.os.CancellationSignal()
val handler = android.os.Handler(android.os.Looper.getMainLooper())
val executor = java.util.concurrent.Executor { handler.post(it) }
// 15 秒超时
// 15 s timeout
val timeout = handler.postDelayed({
signal.cancel()
if (cont.isActive) cont.resume(false) { }
@@ -262,6 +269,7 @@ class SettingsRepo(
private val _databaseState = MutableStateFlow(getDatabaseState())
override val databaseState: StateFlow<DatabaseState> = _databaseState
override fun getSatelliteTypesIds(types: List<String>): List<Int> {
val idsSet = mutableSetOf<Int>()
types.forEach { type ->
@@ -325,6 +333,10 @@ class SettingsRepo(
override val rcSettings: StateFlow<RCSettings> = _rcSettings
override fun updateRCSettings(settings: RCSettings) {
val clampedFreqOffsetHz = settings.frequencyOffsetHz.coerceIn(
Constants.FREQ_OFFSET_MIN_HZ,
Constants.FREQ_OFFSET_MAX_HZ
)
preferences.edit {
putBoolean(keyRotatorState, settings.rotatorState)
putString(keyRotatorAddress, settings.rotatorAddress)
@@ -334,6 +346,7 @@ class SettingsRepo(
putString(keyFrequencyAddress, settings.frequencyAddress)
putString(keyFrequencyPort, settings.frequencyPort)
putString(keyFrequencyFormat, settings.frequencyFormat)
putLong(keyFrequencyOffsetHz, clampedFreqOffsetHz)
putBoolean(keyBluetoothRotatorState, settings.bluetoothRotatorState)
putString(keyBluetoothRotatorFormat, settings.bluetoothRotatorFormat)
putString(keyBluetoothRotatorName, settings.bluetoothRotatorName)
@@ -342,7 +355,7 @@ class SettingsRepo(
putString(keyBluetoothFrequencyFormat, settings.bluetoothFrequencyFormat)
putString(keyBluetoothFrequencyAddress, settings.bluetoothFrequencyAddress)
}
_rcSettings.value = settings
_rcSettings.value = settings.copy(frequencyOffsetHz = clampedFreqOffsetHz)
}
private fun getRCSettings(): RCSettings = RCSettings(
@@ -354,6 +367,8 @@ class SettingsRepo(
frequencyAddress = preferences.getString(keyFrequencyAddress, null) ?: "127.0.0.1",
frequencyPort = preferences.getString(keyFrequencyPort, null) ?: "4532",
frequencyFormat = preferences.getString(keyFrequencyFormat, null) ?: $$"F $FREQ",
frequencyOffsetHz = preferences.getLong(keyFrequencyOffsetHz, 0L)
.coerceIn(Constants.FREQ_OFFSET_MIN_HZ, Constants.FREQ_OFFSET_MAX_HZ),
bluetoothRotatorState = preferences.getBoolean(keyBluetoothRotatorState, false),
bluetoothRotatorFormat = preferences.getString(keyBluetoothRotatorFormat, null) ?: $$"P $AZ $EL",
bluetoothRotatorName = preferences.getString(keyBluetoothRotatorName, null) ?: "Default",
@@ -390,6 +405,11 @@ class SettingsRepo(
putString(keyWavelogApiKey, new.wavelogApiKey)
putString(keyWavelogStationId, new.wavelogStationId)
putBoolean(keyWavelogAutoUpload, new.wavelogAutoUpload)
putFloat(keyRadarCompassOffset, new.radarCompassOffset)
putFloat(keyRadarCompassOffsetElev, new.radarCompassOffsetElev)
putBoolean(keyCwToneShiftEnabled, new.cwToneShiftEnabled)
putBoolean(keyAmsatDayStripes, new.amsatDayStripes)
}
new
}
@@ -413,7 +433,11 @@ class SettingsRepo(
wavelogUrl = preferences.getString(keyWavelogUrl, null) ?: "",
wavelogApiKey = preferences.getString(keyWavelogApiKey, null) ?: "",
wavelogStationId = preferences.getString(keyWavelogStationId, null) ?: "",
wavelogAutoUpload = preferences.getBoolean(keyWavelogAutoUpload, false)
wavelogAutoUpload = preferences.getBoolean(keyWavelogAutoUpload, false),
radarCompassOffset = preferences.getFloat(keyRadarCompassOffset, 0f),
radarCompassOffsetElev = preferences.getFloat(keyRadarCompassOffsetElev, 0f),
cwToneShiftEnabled = preferences.getBoolean(keyCwToneShiftEnabled, false),
amsatDayStripes = preferences.getBoolean(keyAmsatDayStripes, true)
)
//endregion
@@ -432,8 +456,8 @@ class SettingsRepo(
}
private fun getDataSourcesSettings(): DataSourcesSettings {
// 4.4.8 修复: 旧版 example.com 占位 URL 视为未配置 -> 替换为真实默认 URL 且开关强制关闭,
// 否则在线更新的 All/SatNOGS 源会指向错误地址导致更新失败
// 4.4.8 fix: legacy example.com placeholder URLs count as unconfigured -> replaced with the real default URL and the switch forced off,
// otherwise the online All/SatNOGS sources would point at the wrong address and fail to update
val storedTleUrl = preferences.getString(keyTleUrl, Sources.defaultTleUrl) ?: Sources.defaultTleUrl
val storedTxUrl = preferences.getString(keyTransceiversUrl, Sources.defaultTransceiversUrl) ?: Sources.defaultTransceiversUrl
val tleUrl = if (storedTleUrl == "https://example.com/tle.txt") Sources.defaultTleUrl else storedTleUrl
@@ -445,6 +469,7 @@ class SettingsRepo(
transceiversUrl = txUrl
)
}
//endregion
//region # Radio control settings
@@ -484,5 +509,27 @@ class SettingsRepo(
baudRate = preferences.getInt(keyRadioBaudRate, 4800),
splitMode = preferences.getBoolean(keyRadioSplitMode, false)
)
//endregion
private val keySatelliteOffsets = "satelliteOffsets"
override fun getSatelliteOffset(catnum: Int): String {
val json = preferences.getString(keySatelliteOffsets, "{}") ?: "{}"
return try {
JSONObject(json).optString(catnum.toString(), "")
} catch (_: Exception) {
""
}
}
override fun setSatelliteOffset(catnum: Int, offset: String) {
val json = preferences.getString(keySatelliteOffsets, "{}") ?: "{}"
val updated = try {
val obj = JSONObject(json)
if (offset.isEmpty()) obj.remove(catnum.toString()) else obj.put(catnum.toString(), offset)
obj.toString()
} catch (_: Exception) {
"""{"$catnum": "$offset"}"""
}
preferences.edit { putString(keySatelliteOffsets, updated) }
}
}
core/data/src/main/java/com/rtbishop/look4sat/core/data/source/AmSatParser.kt
-136
View File
@@ -1,136 +0,0 @@
package com.rtbishop.look4sat.core.data.source
import com.rtbishop.look4sat.core.domain.model.SatDay
import com.rtbishop.look4sat.core.domain.model.SatReport
import com.rtbishop.look4sat.core.domain.model.SatSlot
import com.rtbishop.look4sat.core.domain.model.SatStatus
import com.rtbishop.look4sat.core.domain.model.SatStatusPage
import java.util.regex.Pattern
/**
* AMSAT 卫星状态页解析器(https://amsat.org/status/)
*
* 页面结构(静态 HTML, 2026-08 实测):
* - 状态表: <table> 内 48 行, 表头 = Name + 6 天(每个 colspan=12)
* 数据行 73 格: [0]=卫星名, [1..72] = 6 天 × 12 个 2 小时槽(新→旧)
* 每格 <td width=9 bgcolor="颜色">数字</td>, 有报告时数字带
* docTips.show('id') 链接
* - 报告详情在页面内嵌 JS:
* tips.a885153 = new Array(5,5,120,'状态<br>呼号<br>网格<br>日期<br>时间段 UTC')
*
* 状态色: #648fff=活跃, #ffb000=仅遥测, #dc267f=未听到, #fe6100=矛盾
*/
object AmSatParser {
private val STATUS_COLORS = mapOf(
"#648fff" to 0xFF648FFF.toLong(),
"#ffb000" to 0xFFFFB000.toLong(),
"#dc267f" to 0xFFDC267F.toLong(),
"#fe6100" to 0xFFFE6100.toLong()
)
private val GRAY = 0xFFC0C0C0.toLong()
private val rowRe = Pattern.compile("<tr>(.*?)</tr>", Pattern.DOTALL)
private val cellRe = Pattern.compile("(<t[dh][^>]*>.*?</t[dh]>)", Pattern.DOTALL)
private val bgRe = Pattern.compile("bgcolor=\"?(#[0-9a-fA-F]{6}|C0C0C0)\"?")
private val linkRe = Pattern.compile("docTips\\.show\\('(a\\d+)'\\)")
private val tipRe = Pattern.compile(
"tips\\.(a\\d+)\\s*=\\s*new\\s+Array\\(\\s*\\d+,\\s*\\d+,\\s*\\d+,\\s*'([^']*)'"
)
/** 解析完整页面 */
fun parse(html: String, fetchedAtUtcMs: Long): SatStatusPage {
val reports = parseReports(html)
val statuses = parseStatusTable(html, reports)
return SatStatusPage(fetchedAtUtcMs, statuses, reports)
}
/** 提取全部报告(tips.* JS 数组) */
fun parseReports(html: String): Map<String, SatReport> {
val map = mutableMapOf<String, SatReport>()
val m = tipRe.matcher(html)
while (m.find()) {
val id = m.group(1)
val parts = m.group(2).split("<br>")
map[id] = SatReport(
id = id,
statusText = parts.getOrElse(0) { "" }.trim(),
call = parts.getOrElse(1) { "" }.trim(),
grid = parts.getOrElse(2) { "" }.trim(),
dateUtc = parts.getOrElse(3) { "" }.trim(),
timeUtc = parts.getOrElse(4) { "" }.trim()
)
}
return map
}
/** 解析状态表(48 行卫星) */
fun parseStatusTable(html: String, reports: Map<String, SatReport>): List<SatStatus> {
val result = mutableListOf<SatStatus>()
val tables = extractTables(html)
for (table in tables) {
val rows = rowRe.matcher(table)
val parsed = mutableListOf<SatStatus>()
var rowIndex = 0
var dayHeaders: List<String> = emptyList()
while (rows.find()) {
val rowHtml = rows.group(1)
val cells = cellRe.matcher(rowHtml)
val cellList = mutableListOf<String>()
while (cells.find()) cellList.add(cells.group(1))
if (rowIndex == 0) {
// 表头: Name + 6 天(每个 colspan=12)
dayHeaders = cellList.drop(1).take(6).map { stripHtml(it) }
rowIndex++
continue
}
if (cellList.size < 7) { rowIndex++; continue }
val name = stripHtml(cellList[0])
if (name.isBlank()) { rowIndex++; continue }
val days = mutableListOf<SatDay>()
for (d in 0 until 6) {
val start = 1 + d * 12
val end = start + 12
val slots = (start until end).mapNotNull { i ->
cellList.getOrNull(i)?.let { cell ->
val bg = bgRe.matcher(cell)
val color = if (bg.find()) {
STATUS_COLORS[bg.group(1).lowercase()] ?: GRAY
} else GRAY
val link = linkRe.matcher(cell)
val ids = mutableListOf<String>()
while (link.find()) ids.add(link.group(1))
val hasReport = ids.isNotEmpty()
val count = if (hasReport) {
stripHtml(cell).trim().toIntOrNull() ?: ids.size
} else 0
SatSlot(
statusColor = if (hasReport) color else GRAY,
count = count,
reportIds = ids
)
}
}
days.add(SatDay(dayHeaders.getOrElse(d) { "" }, slots))
}
parsed.add(SatStatus(name, days))
rowIndex++
}
if (parsed.isNotEmpty()) {
result.addAll(parsed)
break
}
}
return result
}
private fun extractTables(html: String): List<String> {
val result = mutableListOf<String>()
val m = Pattern.compile("<table.*?</table>", Pattern.DOTALL).matcher(html)
while (m.find()) result.add(m.group())
return result
}
private fun stripHtml(s: String): String =
s.replace(Regex("<[^>]+>"), "").trim()
}
core/data/src/main/java/com/rtbishop/look4sat/core/data/source/RemoteSource.kt
+68 -20
View File
@@ -20,11 +20,11 @@ package com.rtbishop.look4sat.core.data.source
import android.content.ContentResolver
import androidx.core.net.toUri
import com.rtbishop.look4sat.core.domain.source.IRemoteSource
import kotlinx.coroutines.CancellationException
import kotlinx.coroutines.CoroutineDispatcher
import kotlinx.coroutines.withContext
import okhttp3.OkHttpClient
import okhttp3.Request
import java.io.ByteArrayInputStream
import java.io.InputStream
class RemoteSource(
@@ -37,38 +37,86 @@ class RemoteSource(
try {
val fileUri = uri.toUri()
contentResolver.openInputStream(fileUri)?.buffered()
} catch (exception: CancellationException) {
throw exception
} catch (exception: Exception) {
println("RemoteSource file stream exception: $exception")
null
}
}
override suspend fun getStatusHtml(): String? = withContext(dispatcher) {
try {
val request = Request.Builder()
.url("https://amsat.org/status/")
.header("User-Agent", "Mozilla/5.0 (Linux; Android 13) Look4Sat/4.5")
.build()
httpClient.newCall(request).execute().use { response ->
if (!response.isSuccessful) return@use null
response.body?.string()
}
} catch (exception: Exception) {
println("RemoteSource amsat status exception: $exception")
null
}
}
override suspend fun getNetworkStream(url: String): InputStream? = withContext(dispatcher) {
try {
val networkRequest = Request.Builder().url(url).build()
httpClient.newCall(networkRequest).execute().use { response ->
if (!response.isSuccessful) return@withContext null
ByteArrayInputStream(response.body.bytes())
val response = httpClient.newCall(networkRequest).execute()
if (!response.isSuccessful) {
response.close()
return@withContext null
}
// Return the body stream directly as the caller is responsible for closing it
// That returns the connection to OkHttp's pool
response.body.byteStream().buffered()
} catch (exception: CancellationException) {
throw exception
} catch (exception: Exception) {
println("RemoteSource network stream exception: $exception")
null
}
}
override suspend fun getAmSatCatalog(): String? = withContext(dispatcher) {
try {
val request = Request.Builder()
.url("https://www.amsat.org/status/api/v1/catalog.php")
.header("User-Agent", "Look4Sat/4.5.7")
.build()
httpClient.newCall(request).execute().use { response ->
if (!response.isSuccessful) return@use null
response.body?.string()
}
} catch (exception: CancellationException) {
throw exception
} catch (exception: Exception) {
println("RemoteSource amsat catalog exception: $exception")
null
}
}
override suspend fun getAmSatReports(hours: Int, limit: Int): String? = withContext(dispatcher) {
try {
val request = Request.Builder()
.url("https://www.amsat.org/status/api/v1/reports.php?hours=$hours&limit=$limit")
.header("User-Agent", "Look4Sat/4.5.7")
.build()
httpClient.newCall(request).execute().use { response ->
if (!response.isSuccessful) return@use null
response.body?.string()
}
} catch (exception: CancellationException) {
throw exception
} catch (exception: Exception) {
println("RemoteSource amsat reports exception: $exception")
null
}
}
override suspend fun getAmSatSummary(hours: Int): String? = withContext(dispatcher) {
try {
val request = Request.Builder()
.url("https://www.amsat.org/status/api/v1/summary.php?hours=$hours")
.header("User-Agent", "Look4Sat/4.5.7")
.build()
httpClient.newCall(request).execute().use { response ->
if (!response.isSuccessful) return@use null
response.body?.string()
}
} catch (exception: CancellationException) {
throw exception
} catch (exception: Exception) {
println("RemoteSource amsat summary exception: $exception")
null
}
}
}
core/data/src/main/java/com/rtbishop/look4sat/core/data/usecase/AudioCapture.kt
+8 -2
View File
@@ -56,8 +56,14 @@ class AudioCapture : IAudioCapture {
if (read > 0) emit(if (read == chunkSize) buffer.copyOf() else buffer.copyOfRange(0, read))
}
} finally {
recorder.stop()
recorder.release()
// stop() on a recorder that never started throws
// IllegalStateException; wrapping each cleanup step separately
// keeps the original error (e.g. a permission denial during
// startRecording) intact and guarantees release() still runs.
// Without this, a start failure masked the real cause AND leaked
// the recorder because release() was skipped.
runCatching { recorder.stop() }
runCatching { recorder.release() }
}
}.flowOn(Dispatchers.IO)
}
core/data/src/main/java/com/rtbishop/look4sat/core/data/wavelog/LotwSatellitesRepo.kt
+62
View File
@@ -0,0 +1,62 @@
/* LotwSatellitesRepo.kt - runtime refresh of the LoTW satellite list (4.5.5).
* Downloads ARRL's official config.tq6 (gzip XML), parses <satellite name="...">,
* updates the LotwSatellites dynamic set + persists to SharedPreferences (survives restarts).
* Trigger: the "Update sats" button in the settings WaveLog section (user decided: manual).
*/
package com.rtbishop.look4sat.core.data.wavelog
import android.content.Context
import com.rtbishop.look4sat.core.domain.wavelog.ILotwSatellitesRepo
import com.rtbishop.look4sat.core.domain.wavelog.LotwSatellites
import kotlinx.coroutines.Dispatchers
import kotlinx.coroutines.withContext
import java.io.BufferedReader
import java.io.InputStreamReader
import java.net.URL
import java.util.zip.GZIPInputStream
import kotlin.random.Random
class LotwSatellitesRepo(private val context: Context) : ILotwSatellitesRepo {
private val prefs = context.getSharedPreferences("lotw_satellites", Context.MODE_PRIVATE)
/** Restore the last downloaded list from SharedPreferences (call at process start) */
override fun restore() {
val saved = prefs.getString(KEY_NAMES, null)
if (!saved.isNullOrBlank()) {
LotwSatellites.updateNames(saved.split(",").filter { it.isNotBlank() }.toSet())
}
}
/** Download config.tq6 -> parse -> update memory + persist. Result is surfaced in the UI */
override suspend fun refresh(): ILotwSatellitesRepo.RefreshResult = withContext(Dispatchers.IO) {
try {
val url = URL("https://lotw.arrl.org/lotw/config.tq6")
val conn = url.openConnection()
conn.connectTimeout = 10_000
conn.readTimeout = 20_000
conn.setRequestProperty("User-Agent", "Look4Sat-Pro/4.5.5")
val raw = conn.getInputStream()
val reader = BufferedReader(InputStreamReader(GZIPInputStream(raw), Charsets.UTF_8))
val text = reader.use { it.readText() }
// Parse <satellite name="XXX" ...> - fixed format (official ARRL XML)
val names = Regex("""<satellite name="([^"]+)""").findAll(text)
.map { it.groupValues[1].uppercase() }
.toSet()
if (names.isEmpty()) return@withContext ILotwSatellitesRepo.RefreshResult.Error("列表为空(响应异常)")
LotwSatellites.updateNames(names)
prefs.edit()
.putString(KEY_NAMES, names.joinToString(","))
.putLong(KEY_UPDATED, System.currentTimeMillis())
.apply()
ILotwSatellitesRepo.RefreshResult.Ok(names.size)
} catch (e: Exception) {
ILotwSatellitesRepo.RefreshResult.Error(e.message ?: "未知错误")
}
}
companion object {
private const val KEY_NAMES = "names"
private const val KEY_UPDATED = "updated"
}
}
core/data/src/test/java/com/rtbishop/look4sat/core/data/cw/CwToneShiftGateTest.kt
+130
View File
@@ -0,0 +1,130 @@
package com.rtbishop.look4sat.core.data.cw
import com.rtbishop.look4sat.core.domain.cw.CwDeepSpectrogram
import com.rtbishop.look4sat.core.domain.cw.CwToneShifter
import org.junit.Assert.assertEquals
import org.junit.Assert.assertFalse
import org.junit.Assert.assertSame
import org.junit.Assert.assertTrue
import org.junit.Test
import kotlin.math.PI
import kotlin.math.abs
import kotlin.math.sin
/**
* The gating contract the decoder relies on: shift only when the user opted in AND the
* tone is outside the model window.
*
* [CwDeepDecoder] needs a Context and a loaded ONNX model, so it cannot be constructed
* here. What these tests do exercise is the real decision function the decoder calls -
* [CwToneShifter.analyse] - rather than a copy of it, so a wrong verdict fails here.
* The decoder's own sample accumulation and throttling are covered by the streaming
* tests in core:domain.
*/
class CwToneShiftGateTest {
private val sampleRate = CwDeepSpectrogram.SAMPLE_RATE
private fun tone(hz: Double, samples: Int = 1600): FloatArray = FloatArray(samples) { i ->
sin(2.0 * PI * hz * i / sampleRate).toFloat()
}
/**
* The enabled/disabled gate as [CwDeepDecoder.applyToneShift] applies it: when off
* the audio is returned as-is, when on the verdict comes from the real analyser.
*/
private fun gate(audio: FloatArray, enabled: Boolean): FloatArray {
if (!enabled) return audio
val analysis = CwToneShifter.analyse(audio, sampleRate)
if (!analysis.needsShift) return audio
return CwToneShifter.shift(audio, analysis.shiftHz, sampleRate)
}
@Test
fun `disabled leaves every tone untouched`() {
for (hz in listOf(150.0, 300.0, 800.0, 1200.0, 1500.0)) {
val audio = tone(hz)
assertSame(
"$hz Hz must pass through unchanged while the setting is off",
audio, gate(audio, enabled = false)
)
}
}
@Test
fun `enabled still leaves in-window tones untouched`() {
for (hz in listOf(400.0, 600.0, 800.0, 1000.0, 1200.0)) {
val audio = tone(hz)
assertSame(
"$hz Hz is inside the window; enabling the setting must not alter it",
audio, gate(audio, enabled = true)
)
}
}
@Test
fun `enabled shifts only out-of-window tones`() {
for (hz in listOf(200.0, 300.0, 1300.0, 1500.0)) {
val audio = tone(hz)
val result = gate(audio, enabled = true)
assertFalse("$hz Hz should have been shifted", result === audio)
assertEquals("shift must preserve length", audio.size, result.size)
}
}
@Test
fun `window edges count as inside`() {
val analysisLow = CwToneShifter.analyse(tone(CwDeepSpectrogram.MIN_FREQ_HZ), sampleRate)
val analysisHigh = CwToneShifter.analyse(tone(CwDeepSpectrogram.MAX_FREQ_HZ), sampleRate)
assertFalse("400 Hz is the lower edge, inside", analysisLow.needsShift)
assertFalse("1200 Hz is the upper edge, inside", analysisHigh.needsShift)
}
@Test
fun `shift target is inside the window`() {
assertTrue(
"the target must be a pitch the model can see",
CwToneShifter.isInsideWindow(CwToneShifter.TARGET_HZ.toFloat())
)
}
/**
* Regression guard for the defect that made the whole feature dead on arrival:
* the decoder gated detection on a single chunk reaching DETECT_MIN_SAMPLES, but
* AudioCapture delivers 4410 samples at 44.1 kHz, which is only 320 after
* resampling to 3200 Hz. Detection could never run.
*
* The decoder now pools chunks, so what matters is that the pooled size is
* reachable: a handful of real-sized chunks must add up to enough audio.
*/
@Test
fun `pooled capture chunks reach the detection threshold`() {
val captureRate = 44100
val captureChunk = captureRate / 10 // AudioCapture's ~100 ms read
val resampledChunk = captureChunk * CwDeepSpectrogram.SAMPLE_RATE / captureRate
assertEquals(
"a capture chunk resamples to 320 samples; if this changes revisit pooling",
320, resampledChunk
)
val threshold = 1280 // CwDeepDecoder.DETECT_MIN_SAMPLES
val chunksNeeded = (threshold + resampledChunk - 1) / resampledChunk
assertTrue(
"a single chunk ($resampledChunk) must not be expected to reach $threshold",
resampledChunk < threshold
)
assertTrue(
"pooling must reach the threshold within a second of audio, needs $chunksNeeded chunks",
chunksNeeded in 2..10
)
// And that much audio must actually be enough for the detector to work.
val pooled = tone(1500.0, samples = threshold)
val detected = CwToneShifter.detectToneHz(pooled, sampleRate)
assertEquals(
"the pooled window must be long enough to detect a tone",
1500.0, detected!!.toDouble(), 25.0
)
}
}
core/data/src/test/java/com/rtbishop/look4sat/core/data/repository/AmSatAuditTest.kt
+408
View File
@@ -0,0 +1,408 @@
package com.rtbishop.look4sat.core.data.repository
import com.rtbishop.look4sat.core.domain.source.IRemoteSource
import org.junit.Assert.assertEquals
import org.junit.Assert.assertNotNull
import org.junit.Assert.assertTrue
import org.junit.Test
import java.io.InputStream
import java.util.Calendar
import java.util.GregorianCalendar
import java.util.Locale
import java.util.TimeZone
/**
* ADVERSARIAL AUDIT SCRATCH FILE - delete when the audit report is written.
* Probes buildStatuses for aliasing, midnight arithmetic and boundary defects.
*/
class AmSatAuditTest {
private object UnusedSource : IRemoteSource {
override suspend fun getFileStream(uri: String): InputStream? = null
override suspend fun getNetworkStream(url: String): InputStream? = null
override suspend fun getAmSatCatalog(): String? = null
override suspend fun getAmSatReports(hours: Int, limit: Int): String? = null
override suspend fun getAmSatSummary(hours: Int): String? = null
}
private val repo = AmSatRepository(UnusedSource)
private fun utc(y: Int, mo: Int, d: Int, h: Int, mi: Int = 0, s: Int = 0): Long {
val c = Calendar.getInstance(TimeZone.getTimeZone("UTC"))
c.clear(); c.set(y, mo - 1, d, h, mi, s)
return c.timeInMillis / 1000
}
private fun rep(name: String, at: Long, id: String, status: String = "heard") =
ApiReport(id, name, "T", status, "AA00", at)
private fun labelsAt(now: Long) =
repo.buildStatuses(listOf("X"), emptyList(), now).single().days.map { it.dateLabel }
/** Reference: the label a UTC instant's day should carry. */
private fun expectLabel(y: Int, mo: Int, d: Int): String {
val mn = arrayOf("Jan", "Feb", "Mar", "Apr", "May", "Jun", "Jul", "Aug",
"Sep", "Oct", "Nov", "Dec")
return "${mn[mo - 1]} $d"
}
// ---------- 1. midnight arithmetic under hostile inputs ----------
@Test
fun auditMidnightExactlyAtMidnight() {
assertEquals(
listOf(expectLabel(2026, 8, 22), expectLabel(2026, 8, 21), expectLabel(2026, 8, 20)),
labelsAt(utc(2026, 8, 22, 0, 0, 0))
)
}
@Test
fun auditMidnightOneSecondBeforeAndAfter() {
assertEquals(
"23:59:59 on Aug 21 must still be Aug 21",
listOf("Aug 21", "Aug 20", "Aug 19"),
labelsAt(utc(2026, 8, 21, 23, 59, 59))
)
assertEquals(
"00:00:01 on Aug 22 must already be Aug 22",
listOf("Aug 22", "Aug 21", "Aug 20"),
labelsAt(utc(2026, 8, 22, 0, 0, 1))
)
}
@Test
fun auditLeapDay2028() {
assertEquals(
"Feb 29 2028 back to Feb 27",
listOf("Feb 29", "Feb 28", "Feb 27"),
labelsAt(utc(2028, 2, 29, 12))
)
assertEquals(
"Mar 1 2028 must reach back through the leap day",
listOf("Mar 1", "Feb 29", "Feb 28"),
labelsAt(utc(2028, 3, 1, 0, 0, 0))
)
assertEquals(
"Mar 1 2027 (no leap day) must skip straight to Feb 27",
listOf("Mar 1", "Feb 28", "Feb 27"),
labelsAt(utc(2027, 3, 1, 12))
)
}
@Test
fun auditYearBoundary() {
assertEquals(
listOf("Jan 1", "Dec 31", "Dec 30"),
labelsAt(utc(2027, 1, 1, 0, 0, 0))
)
assertEquals(
listOf("Jan 2", "Jan 1", "Dec 31"),
labelsAt(utc(2027, 1, 2, 23, 59, 59))
)
}
@Test
fun auditMonthBoundariesEveryMonth() {
// First of every month in a leap and a non-leap year.
for (year in listOf(2027, 2028)) {
for (mo in 1..12) {
val now = utc(year, mo, 1, 0, 0, 0)
val got = labelsAt(now)
val ref = GregorianCalendar(TimeZone.getTimeZone("UTC"))
ref.timeInMillis = now * 1000
val want = (0 until 3).map {
val c = ref.clone() as Calendar
c.add(Calendar.DAY_OF_MONTH, -it)
expectLabel(c.get(Calendar.YEAR), c.get(Calendar.MONTH) + 1,
c.get(Calendar.DAY_OF_MONTH))
}
assertEquals("$year-$mo-01", want, got)
}
}
}
/**
* The load-bearing claim: subtracting 86400 equals Calendar day arithmetic in UTC.
* Proven exhaustively over 20 years of days rather than argued.
*/
@Test
fun auditSubtracting86400EqualsCalendarDayArithmeticForTwentyYears() {
val ref = GregorianCalendar(TimeZone.getTimeZone("UTC"))
var now = utc(2020, 1, 1, 12)
val end = utc(2040, 1, 1, 12)
var checked = 0
while (now < end) {
val got = labelsAt(now)
ref.timeInMillis = now * 1000
val want = (0 until 3).map {
val c = ref.clone() as Calendar
c.add(Calendar.DAY_OF_MONTH, -it)
expectLabel(c.get(Calendar.YEAR), c.get(Calendar.MONTH) + 1,
c.get(Calendar.DAY_OF_MONTH))
}
assertEquals("at epoch $now", want, got)
now += 86400
checked++
}
assertTrue("must have checked >7000 days, got $checked", checked > 7000)
}
/**
* The device default zone must not reach the computation. Run the whole build under
* hostile default zones including ones with DST and half-hour offsets, and under the
* DST transition instants of those zones.
*/
@Test
fun auditDefaultTimeZoneCannotInfluenceTheGrid() {
val original = TimeZone.getDefault()
try {
val zones = listOf(
"UTC", "America/New_York", "Europe/Berlin", "Australia/Lord_Howe",
"Asia/Kolkata", "Pacific/Kiritimati", "Pacific/Niue", "Pacific/Chatham",
"America/Sao_Paulo", "Asia/Kathmandu"
)
// Instants that are DST transitions in at least one zone above.
val instants = listOf(
utc(2026, 3, 8, 7), utc(2026, 11, 1, 6), utc(2026, 3, 29, 1),
utc(2026, 10, 25, 1), utc(2026, 4, 5, 16), utc(2026, 10, 4, 16),
utc(2026, 8, 22, 0, 0, 0), utc(2026, 8, 22, 23, 59, 59),
utc(2027, 1, 1, 0, 0, 0), utc(2028, 2, 29, 0, 0, 0)
)
val baseline = HashMap<Long, List<String>>()
TimeZone.setDefault(TimeZone.getTimeZone("UTC"))
for (i in instants) baseline[i] = labelsAt(i)
for (z in zones) {
TimeZone.setDefault(TimeZone.getTimeZone(z))
for (i in instants) {
assertEquals("zone $z at $i", baseline[i], labelsAt(i))
// and the placement of a report must not move either
val s = repo.buildStatuses(
listOf("X"), listOf(rep("X", i - 3600, "r")), i
).single()
val cell = s.days.withIndex().flatMap { (d, day) ->
day.slots.withIndex().filter { "r" in it.value.reportIds }
.map { d to it.index }
}
assertEquals("zone $z placement at $i", 1, cell.size)
baseline["p$i".hashCode().toLong()]?.let { }
}
}
} finally {
TimeZone.setDefault(original)
}
}
/** Locale can swap the calendar system out from under Calendar.getInstance. */
@Test
fun auditDefaultLocaleCannotInfluenceTheGrid() {
val original = Locale.getDefault()
try {
val want = run {
Locale.setDefault(Locale.US)
labelsAt(utc(2026, 8, 22, 12))
}
for (l in listOf(
Locale("th", "TH", "TH"), Locale("ja", "JP", "JP"),
Locale("ar", "SA"), Locale.forLanguageTag("th-TH-u-ca-buddhist")
)) {
Locale.setDefault(l)
assertEquals("locale $l", want, labelsAt(utc(2026, 8, 22, 12)))
}
} finally {
Locale.setDefault(original)
}
}
// ---------- aliasing / shared Calendar state leak ----------
/**
* The shared Calendar is mutated by the labels loop after todayMidnightSec is read.
* If any later step re-read it, day 0 would inherit day 2's date. Prove day 0's
* slots are anchored on today, not on the last value the Calendar held.
*/
@Test
fun auditSharedCalendarIsNotReReadAfterTheLabelsLoop() {
val now = utc(2026, 8, 22, 12)
// A report at today 12:30 must be in day 0. If the anchor had leaked to Aug 20
// it would fall outside the grid entirely.
val s = repo.buildStatuses(
listOf("X"), listOf(rep("X", utc(2026, 8, 22, 12, 30), "r")), now
).single()
assertEquals("Aug 22", s.days[0].dateLabel)
assertTrue("today's report must be in day 0 slot 5", "r" in s.days[0].slots[5].reportIds)
assertTrue(
"no other day may hold it",
s.days.drop(1).all { d -> d.slots.all { it.count == 0 } }
)
}
/** Two consecutive calls on the same repository must be identical (no instance state). */
@Test
fun auditRepeatedCallsAreIdempotent() {
val now = utc(2026, 8, 22, 12)
val reports = listOf(
rep("X", utc(2026, 8, 22, 1), "a"), rep("X", utc(2026, 8, 21, 23), "b"),
rep("X", utc(2026, 8, 20, 0, 0, 0), "c")
)
fun shape() = repo.buildStatuses(listOf("X"), reports, now).single()
.days.map { d -> d.dateLabel to d.slots.map { it.reportIds } }
val first = shape()
repeat(5) { assertEquals("call must not drift", first, shape()) }
}
// ---------- slot boundary exactness ----------
/** No report may appear in two cells, and none inside the window may vanish. */
@Test
fun auditEveryBoundaryInstantLandsInExactlyOneCell() {
val now = utc(2026, 8, 22, 12)
val mid = utc(2026, 8, 22, 0, 0, 0)
// every slot edge of all three days, and one second either side of each
val probes = ArrayList<Long>()
for (d in 0 until 3) for (s in 0..12) {
val edge = mid - d * 86400L + s * 7200L
probes.add(edge - 1); probes.add(edge); probes.add(edge + 1)
}
for (t in probes.distinct()) {
val s = repo.buildStatuses(listOf("X"), listOf(rep("X", t, "r")), now).single()
val hits = s.days.withIndex().flatMap { (di, day) ->
day.slots.withIndex().filter { "r" in it.value.reportIds }.map { di to it.index }
}
val inWindow = t >= mid - 2 * 86400L && t < mid + 86400L
if (inWindow) {
assertEquals("epoch $t must occupy exactly one cell, got $hits", 1, hits.size)
// and the cell's day must match the report's UTC date
val c = Calendar.getInstance(TimeZone.getTimeZone("UTC"))
c.timeInMillis = t * 1000
val want = expectLabel(c.get(Calendar.YEAR), c.get(Calendar.MONTH) + 1,
c.get(Calendar.DAY_OF_MONTH))
assertEquals("epoch $t day label", want, s.days[hits[0].first].dateLabel)
// slot index must invert the hour band
assertEquals("epoch $t slot", 11 - c.get(Calendar.HOUR_OF_DAY) / 2, hits[0].second)
} else {
assertEquals("epoch $t is outside the window", 0, hits.size)
}
}
}
/** Counts must sum to the number of in-window reports: nothing dropped, nothing doubled. */
@Test
fun auditCountsConserveReports() {
val now = utc(2026, 8, 22, 12)
val mid = utc(2026, 8, 22, 0, 0, 0)
val reports = ArrayList<ApiReport>()
var i = 0
var t = mid - 2 * 86400L
while (t < mid + 86400L) { reports.add(rep("X", t, "r${i++}")); t += 1801 }
val s = repo.buildStatuses(listOf("X"), reports, now).single()
val total = s.days.sumOf { d -> d.slots.sumOf { it.count } }
val ids = s.days.flatMap { d -> d.slots.flatMap { it.reportIds } }
assertEquals("every in-window report must be counted once", reports.size, total)
assertEquals("no id may repeat", ids.size, ids.toSet().size)
assertEquals("id set must be complete", reports.map { it.id }.toSet(), ids.toSet())
}
// ---------- duplicate catalogue names ----------
@Test
fun auditDuplicateCatalogueNamesProduceDuplicateRows() {
val s = repo.buildStatuses(
listOf("DUP", "DUP", "OTHER"),
listOf(rep("DUP", utc(2026, 8, 22, 11), "r")),
utc(2026, 8, 22, 12)
)
assertEquals("a duplicated catalogue name yields a duplicated row", 3, s.size)
assertEquals(2, s.count { it.name == "DUP" })
// both duplicated rows carry the same report -> the tap dialog double lists it
assertEquals(
listOf(1, 1),
s.filter { it.name == "DUP" }.map { it.days[0].slots[6].count }
)
}
@Test
fun auditReportsForNamesAbsentFromCatalogueAreSilentlyDropped() {
val s = repo.buildStatuses(
listOf("IN-CATALOG"),
listOf(rep("NOT-IN-CATALOG", utc(2026, 8, 22, 11), "ghost")),
utc(2026, 8, 22, 12)
)
assertTrue(
"a report whose satellite is not in the catalogue never renders",
s.single().days.all { d -> d.slots.all { it.count == 0 } }
)
}
// ---------- unparsable timestamps ----------
@Test
fun auditZeroTimestampFromFailedParseIsDroppedNotShownAsEpoch() {
val s = repo.buildStatuses(
listOf("X"), listOf(rep("X", 0L, "unparsable")), utc(2026, 8, 22, 12)
).single()
assertTrue(
"a 0L timestamp (parse failure) must not render",
s.days.all { d -> d.slots.all { it.count == 0 } }
)
}
// ---------- future reports ----------
@Test
fun auditFutureReportsLaterTodayStillRender() {
// Fetched at 07:00; a report stamped 23:00 today lands in slot 0 of today.
val s = repo.buildStatuses(
listOf("X"), listOf(rep("X", utc(2026, 8, 22, 23), "later")), utc(2026, 8, 22, 7)
).single()
assertTrue("today's later bands are pre-drawn", "later" in s.days[0].slots[0].reportIds)
}
// ---------- complexity ----------
/** One pass per slot over the satellite's own reports; not O(all reports x slots). */
@Test
fun auditBuildIsLinearInReportsNotQuadratic() {
fun timeFor(nSats: Int, nReports: Int): Long {
val names = (0 until nSats).map { "S$it" }
val now = utc(2026, 8, 22, 12)
val mid = utc(2026, 8, 22, 0, 0, 0)
val reports = (0 until nReports).map {
rep(names[it % nSats], mid - (it % 172800).toLong(), "r$it")
}
repo.buildStatuses(names, reports, now) // warm
val t0 = System.nanoTime()
repeat(3) { repo.buildStatuses(names, reports, now) }
return System.nanoTime() - t0
}
val small = timeFor(88, 500)
val big = timeFor(88, 5000)
val ratio = big.toDouble() / small
println("AUDIT complexity: 500 reports=${small / 1_000_000}ms 5000=${big / 1_000_000}ms ratio=$ratio")
assertNotNull(ratio)
assertTrue("10x the reports must not cost >40x the time (ratio=$ratio)", ratio < 40)
}
/** toSatReport's YEAR is locale sensitive: proves whether the dialog date corrupts. */
@Test
fun auditReportDialogDateUnderThaiLocale() {
val original = Locale.getDefault()
try {
val c = Calendar.getInstance(TimeZone.getTimeZone("UTC"))
Locale.setDefault(Locale.US)
c.timeInMillis = utc(2026, 8, 22, 11) * 1000
val gregorianYear = c.get(Calendar.YEAR)
Locale.setDefault(Locale("th", "TH", "TH"))
val c2 = Calendar.getInstance(TimeZone.getTimeZone("UTC"))
c2.timeInMillis = utc(2026, 8, 22, 11) * 1000
val thaiYear = c2.get(Calendar.YEAR)
println("AUDIT locale year: gregorian=$gregorianYear thai=$thaiYear class=${c2.javaClass.name}")
assertEquals(
"if these differ, toSatReport prints a Buddhist year in the dialog",
gregorianYear, thaiYear
)
} finally {
Locale.setDefault(original)
}
}
}
core/data/src/test/java/com/rtbishop/look4sat/core/data/repository/AmSatSlotBuildTest.kt
+366
View File
@@ -0,0 +1,366 @@
package com.rtbishop.look4sat.core.data.repository
import com.rtbishop.look4sat.core.domain.source.IRemoteSource
import org.junit.Assert.assertEquals
import org.junit.Assert.assertTrue
import org.junit.Test
import java.io.InputStream
import java.util.Calendar
import java.util.TimeZone
/**
* Pins the grid the AMSAT status page draws.
*
* Two contracts matter. The day cell renders one stripe per slot, so "every day has
* exactly 12 slots, newest first" became load-bearing. And the day columns are UTC
* calendar days, so a report must land in the cell whose label matches its UTC date - an
* earlier rolling window anchored on "now" put 17.9 hours of yesterday into the cell
* labelled today, and 73% of a live 1021-report page landed in the wrong column.
*
* This drives [AmSatRepository.buildStatuses] directly rather than `fetchStatus`, because
* the parsing around it uses Android's `JSONObject`, a stub on the JVM: a `fetchStatus`
* test returns null for every input and proves nothing.
*/
class AmSatSlotBuildTest {
private object UnusedSource : IRemoteSource {
override suspend fun getFileStream(uri: String): InputStream? = null
override suspend fun getNetworkStream(url: String): InputStream? = null
override suspend fun getAmSatCatalog(): String? = null
override suspend fun getAmSatReports(hours: Int, limit: Int): String? = null
override suspend fun getAmSatSummary(hours: Int): String? = null
}
private val repo = AmSatRepository(UnusedSource)
/** Epoch seconds for a UTC wall-clock instant, so every case reads unambiguously. */
private fun utc(year: Int, month: Int, day: Int, hour: Int, minute: Int = 0): Long {
val cal = Calendar.getInstance(TimeZone.getTimeZone("UTC"))
cal.clear()
cal.set(year, month - 1, day, hour, minute, 0)
return cal.timeInMillis / 1000
}
/** Midday, so "today" has hours on both sides of the fetch. */
private val nowSec = utc(2026, 8, 22, 12)
private fun report(name: String, status: String, at: Long, id: String = "r-$name-$at") =
ApiReport(
id = id,
name = name,
callsign = "TEST",
report = status,
gridSquare = "AA00",
reportedTimeUtcSec = at
)
private fun build(names: List<String>, reports: List<ApiReport>) =
repo.buildStatuses(names, reports, nowSec)
@Test
fun `every day carries exactly twelve slots`() {
val statuses = build(
listOf("AO-91", "SO-50", "ISS"),
listOf(report("AO-91", "heard", utc(2026, 8, 22, 11)))
)
assertEquals(3, statuses.size)
for (status in statuses) {
assertEquals("${status.name} must have 3 days", 3, status.days.size)
for (day in status.days) {
assertEquals(
"${status.name} ${day.dateLabel} must have 12 slots for the stripe renderer",
12, day.slots.size
)
}
}
}
@Test
fun `a satellite nobody reported still gets twelve slots per day`() {
// The renderer must never receive an empty list, which would draw nothing at all.
val status = build(listOf("QUIET-1"), emptyList()).single()
assertEquals(3, status.days.size)
status.days.forEach { assertEquals(12, it.slots.size) }
assertTrue(
"a silent satellite must be all no-report slots",
status.days.all { day -> day.slots.all { it.count == 0 } }
)
}
@Test
fun `days are labelled with UTC calendar dates`() {
val status = build(listOf("AO-91"), emptyList()).single()
assertEquals("today", "Aug 22", status.days[0].dateLabel)
assertEquals("yesterday", "Aug 21", status.days[1].dateLabel)
assertEquals("the day before", "Aug 20", status.days[2].dateLabel)
}
@Test
fun `the label does not drift with the time of day`() {
// The old rolling window relabelled the same data depending on when it was
// fetched. A calendar day must not care.
for (hour in listOf(0, 6, 12, 18, 23)) {
val labels = repo.buildStatuses(listOf("AO-91"), emptyList(), utc(2026, 8, 22, hour))
.single().days.map { it.dateLabel }
assertEquals("fetched at ${hour}:00 UTC", listOf("Aug 22", "Aug 21", "Aug 20"), labels)
}
}
@Test
fun `slots cover fixed UTC bands, newest first`() {
// Slot 0 is 22:00-24:00 and slot 11 is 00:00-02:00, matching amsat.org.
val status = build(
listOf("AO-91"),
listOf(
report("AO-91", "heard", utc(2026, 8, 22, 23), id = "lateToday"),
report("AO-91", "not heard", utc(2026, 8, 22, 1), id = "earlyToday")
)
).single()
val today = status.days[0]
assertTrue(
"23:00 belongs in slot 0, the day's last band",
"lateToday" in today.slots[0].reportIds
)
assertTrue(
"01:00 belongs in slot 11, the day's first band",
"earlyToday" in today.slots[11].reportIds
)
}
@Test
fun `a report lands in the day matching its UTC date`() {
val status = build(
listOf("AO-91"),
listOf(
report("AO-91", "heard", utc(2026, 8, 22, 11), id = "today"),
report("AO-91", "heard", utc(2026, 8, 21, 15), id = "yesterday"),
report("AO-91", "heard", utc(2026, 8, 20, 5), id = "dayBefore")
)
).single()
// Positions computed from the UTC bands: 11:00 -> slot 6, 15:00 -> slot 4,
// 05:00 -> slot 9.
assertTrue("today's report", "today" in status.days[0].slots[6].reportIds)
assertTrue("yesterday's report", "yesterday" in status.days[1].slots[4].reportIds)
assertTrue("the day before", "dayBefore" in status.days[2].slots[9].reportIds)
}
@Test
fun `a report just after midnight stays in the new day`() {
// The boundary the rolling window got wrong: 00:30 today must not appear as
// yesterday.
val status = build(
listOf("AO-91"),
listOf(report("AO-91", "heard", utc(2026, 8, 22, 0, 30), id = "justAfterMidnight"))
).single()
assertTrue(
"00:30 belongs to today's first band",
"justAfterMidnight" in status.days[0].slots[11].reportIds
)
assertTrue(
"yesterday must stay empty",
status.days[1].slots.all { it.count == 0 }
)
}
@Test
fun `each status maps to its own colour`() {
// The stripes are now the only carrier of status, so distinct states must stay
// distinct all the way out of the repository.
val at = utc(2026, 8, 22, 11)
val statuses = build(
listOf("A", "B", "C", "D"),
listOf(
report("A", "heard", at),
report("B", "telemetry only", at),
report("C", "not heard", at),
report("D", "something the api invented", at)
)
)
val colours = statuses.map { status -> status.days[0].slots[6].statusColor }
assertTrue("no state may be colourless", colours.none { it == 0L })
assertEquals(
"heard, telemetry and not heard must be visually distinct",
3, colours.take(3).toSet().size
)
}
@Test
fun `a slot keeps every report it contains`() {
// The tap dialog lists reports from the slots, so none may be dropped when several
// land in the same two-hour window. 10:00-12:00 is slot 6.
val status = build(
listOf("AO-91"),
listOf(
report("AO-91", "heard", utc(2026, 8, 22, 10, 15), id = "a"),
report("AO-91", "heard", utc(2026, 8, 22, 11, 0), id = "b"),
report("AO-91", "not heard", utc(2026, 8, 22, 11, 45), id = "c")
)
).single()
val slot = status.days[0].slots[6]
assertEquals("all three reports fall in the same band", 3, slot.count)
assertEquals(setOf("a", "b", "c"), slot.reportIds.toSet())
}
@Test
fun `a slot shows the newest status when reports disagree`() {
// Within one band the most recent observation wins; anything else would keep
// showing a failure after the satellite recovered.
fun colourFor(firstStatus: String, secondStatus: String): Long = build(
listOf("AO-91"),
listOf(
report("AO-91", firstStatus, utc(2026, 8, 22, 10, 15), id = "older"),
report("AO-91", secondStatus, utc(2026, 8, 22, 11, 45), id = "newer")
)
).single().days[0].slots[6].statusColor
assertTrue(
"the slot colour must follow the newest report, not the first",
colourFor("not heard", "heard") != colourFor("heard", "not heard")
)
}
@Test
fun `reports outside the three-day window are ignored`() {
val status = build(
listOf("AO-91"),
listOf(
report("AO-91", "heard", utc(2026, 8, 18, 12), id = "tooOld"),
report("AO-91", "heard", utc(2026, 8, 23, 12), id = "future")
)
).single()
assertTrue(
"nothing outside the window may appear",
status.days.all { day -> day.slots.all { it.count == 0 } }
)
}
@Test
fun `reports for other satellites do not leak between rows`() {
val statuses = build(
listOf("AO-91", "SO-50"),
listOf(report("AO-91", "heard", utc(2026, 8, 22, 11), id = "onlyAo91"))
)
val ao91 = statuses.first { it.name == "AO-91" }
val so50 = statuses.first { it.name == "SO-50" }
assertEquals("AO-91 has its report", 1, ao91.days[0].slots[6].count)
assertTrue(
"SO-50 must stay empty",
so50.days.all { day -> day.slots.all { it.count == 0 } }
)
}
@Test
fun `an empty catalog yields no rows rather than a malformed grid`() {
assertTrue(build(emptyList(), emptyList()).isEmpty())
}
/**
* Slots older than the data we received must not claim nobody was listening.
*
* The API caps at 500 records however many hours are asked for. Measured live, a
* 72-hour request returned 500 reports covering only 49 hours, so the oldest 9.5 hours
* of the third day had no data at all - 352 of 3168 cells were painting "nobody heard
* it" over "we never looked".
*/
@Test
fun `slots before the data starts are marked no-data, not no-report`() {
// The only report is midday yesterday, so nothing older than that was covered.
val oldestReport = utc(2026, 8, 21, 12)
val status = build(
listOf("AO-91"),
listOf(report("AO-91", "heard", oldestReport, id = "only"))
).single()
val noReport = 0xFFC0C0C0
val noData = 0xFFE8E8E8
// The day before yesterday is entirely before the data begins.
assertTrue(
"every slot older than the data must read as no-data",
status.days[2].slots.all { it.statusColor == noData }
)
// Yesterday straddles it: bands after midday are covered, bands before are not.
val yesterday = status.days[1]
assertEquals("the report's own band", 1, yesterday.slots[5].count)
assertTrue(
"bands after the oldest report are covered, so silence there is real",
yesterday.slots.take(6).all { it.statusColor != noData }
)
assertTrue(
"the earliest band of yesterday is before any data",
yesterday.slots[11].statusColor == noData
)
// Today is entirely after the data starts, so its silence is genuine.
assertTrue(
"today's empty slots mean nobody reported",
status.days[0].slots.all { it.statusColor == noReport }
)
}
@Test
fun `coverage is judged from all reports, not one satellite's`() {
// A satellite nobody reported must not show as no-data for the whole grid: the
// slots were covered, that satellite simply was not heard.
val statuses = build(
listOf("LOUD", "QUIET"),
listOf(report("LOUD", "heard", utc(2026, 8, 20, 1), id = "early"))
)
val quiet = statuses.first { it.name == "QUIET" }
val noData = 0xFFE8E8E8
assertTrue(
"coverage reaches back to the earliest report of any satellite",
quiet.days.all { day -> day.slots.none { it.statusColor == noData } }
)
}
/**
* A report whose timestamp failed to parse must not disable the distinction.
*
* parseIsoUtcSec returns 0 for an unparseable reported_time, and coverage is the
* minimum timestamp in the response - so one such record would put the coverage
* boundary in 1970 and mark every slot as reported-on. Measured on a grid that should
* have had 18 no-data cells, a single zero timestamp took it to none.
*/
@Test
fun `a report with an unparseable timestamp does not disable the no-data marking`() {
val noData = 0xFFE8E8E8
val realReport = report("AO-91", "heard", utc(2026, 8, 21, 12), id = "real")
val brokenTimestamp = ApiReport(
id = "broken",
name = "AO-91",
callsign = "TEST",
report = "heard",
gridSquare = "AA00",
reportedTimeUtcSec = 0L
)
val withoutBroken = build(listOf("AO-91"), listOf(realReport))
.single().days.sumOf { day -> day.slots.count { it.statusColor == noData } }
val withBroken = build(listOf("AO-91"), listOf(realReport, brokenTimestamp))
.single().days.sumOf { day -> day.slots.count { it.statusColor == noData } }
assertTrue("the baseline must have uncovered slots to compare", withoutBroken > 0)
assertEquals(
"a zero timestamp must not change what counts as covered",
withoutBroken, withBroken
)
}
@Test
fun `an empty response marks nothing as covered`() {
// With no reports at all there is no evidence about any slot.
val status = build(listOf("AO-91"), emptyList()).single()
val noData = 0xFFE8E8E8
assertTrue(
"yesterday and earlier cannot be claimed as silent",
status.days.drop(1).all { day -> day.slots.all { it.statusColor == noData } }
)
}
}
core/data/src/test/java/com/rtbishop/look4sat/core/data/repository/DatabaseRepoTest.kt
+16 -6
View File
@@ -102,7 +102,7 @@ class DatabaseRepoTest {
repository.updateFromRemote()
assertTrue(localSource.insertedEntries.any { it.catnum == 25544 })
// 新语义: 开关开 + URL 非空 -> All 源用自定义 URL, 数据归入 All 类型
// New semantics: switch on + non-empty URL -> the All source uses the custom URL, data lands in the All type
assertEquals(listOf(25544), settingsRepo.satelliteTypeIdsByType["All"])
}
@@ -125,6 +125,12 @@ private class FakeRemoteSource : IRemoteSource {
override suspend fun getFileStream(uri: String): InputStream? = fileStreams[uri]?.invoke()
override suspend fun getNetworkStream(url: String): InputStream? = networkStreams[url]?.invoke()
override suspend fun getAmSatCatalog(): String? = null
override suspend fun getAmSatReports(hours: Int, limit: Int): String? = null
override suspend fun getAmSatSummary(hours: Int): String? = null
}
private class FakeLocalSource : ILocalSource {
@@ -166,10 +172,10 @@ private class FakeSettingsRepo(dataSources: DataSourcesSettings = defaultDataSou
override val selectedIds: StateFlow<List<Int>> = MutableStateFlow(emptyList())
override val selectedTypes: StateFlow<List<String>> = MutableStateFlow(emptyList())
override val selectedSatModes: StateFlow<List<String>> = MutableStateFlow(emptyList())
override val passesSettings: StateFlow<PassesSettings> = MutableStateFlow(
PassesSettings(hoursAhead = 24, minElevation = 0.0, selectedModes = emptyList())
PassesSettings(hoursAhead = 24, minElevation = 0.0)
)
override val stationPosition: StateFlow<GeoPos> = MutableStateFlow(GeoPos(0.0, 0.0))
@@ -177,7 +183,7 @@ private class FakeSettingsRepo(dataSources: DataSourcesSettings = defaultDataSou
override val databaseState: MutableStateFlow<DatabaseState> = MutableStateFlow(DatabaseState(0, 0, 0L))
override val rcSettings: StateFlow<RCSettings> = MutableStateFlow(
RCSettings(false, "", "", "", false, "", "", "", false, "", "", "", false, "", "")
RCSettings(false, "", "", "", false, "", "", "", 0L, false, "", "", "", false, "", "")
)
override val otherSettings: StateFlow<OtherSettings> = MutableStateFlow(
@@ -194,13 +200,13 @@ private class FakeSettingsRepo(dataSources: DataSourcesSettings = defaultDataSou
override fun setSelectedIds(ids: List<Int>) = Unit
override fun setSelectedTypes(types: List<String>) = Unit
override fun setSelectedSatModes(modes: List<String>) = Unit
override fun setPassesSettings(settings: PassesSettings) = Unit
override fun setStationPosition(latitude: Double, longitude: Double, altitude: Double): Boolean = true
override fun setStationPosition(): Boolean = true
override suspend fun setStationPosition(): Boolean = true
override fun setStationPosition(locator: String): Boolean = true
@@ -223,6 +229,10 @@ private class FakeSettingsRepo(dataSources: DataSourcesSettings = defaultDataSou
}
override fun updateRadioControlSettings(settings: RadioControlSettings) = Unit
override fun getSatelliteOffset(catnum: Int): String = ""
override fun setSatelliteOffset(catnum: Int, offset: String) = Unit
}
private fun defaultDataSourcesSettings(): DataSourcesSettings {
core/data/src/test/java/com/rtbishop/look4sat/core/data/repository/SelectionRepoTest.kt
+181
View File
@@ -0,0 +1,181 @@
/*
* Look4Sat. Amateur radio satellite tracker and pass predictor.
* Copyright (C) 2019-2026 Arty Bishop and contributors.
*
* This program is free software: you can redistribute it and/or modify
* it under the terms of the GNU General Public License as published by
* the Free Software Foundation, either version 3 of the License, or
* (at your option) any later version.
*
* This program is distributed in the hope that it will be useful,
* but WITHOUT ANY WARRANTY; without even the implied warranty of
* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
* GNU General Public License for more details.
*
* You should have received a copy of the GNU General Public License
* along with this program. If not, see <https://www.gnu.org/licenses/>.
*/
package com.rtbishop.look4sat.core.data.repository
import com.rtbishop.look4sat.core.domain.model.DataSourcesSettings
import com.rtbishop.look4sat.core.domain.model.DatabaseState
import com.rtbishop.look4sat.core.domain.model.OtherSettings
import com.rtbishop.look4sat.core.domain.model.PassesSettings
import com.rtbishop.look4sat.core.domain.model.RCSettings
import com.rtbishop.look4sat.core.domain.model.RadioControlSettings
import com.rtbishop.look4sat.core.domain.model.SatItem
import com.rtbishop.look4sat.core.domain.model.SatRadio
import com.rtbishop.look4sat.core.domain.predict.GeoPos
import com.rtbishop.look4sat.core.domain.predict.OrbitalObject
import com.rtbishop.look4sat.core.domain.repository.ISettingsRepo
import com.rtbishop.look4sat.core.domain.source.ILocalSource
import kotlinx.coroutines.ExperimentalCoroutinesApi
import kotlinx.coroutines.flow.MutableStateFlow
import kotlinx.coroutines.flow.StateFlow
import kotlinx.coroutines.flow.first
import kotlinx.coroutines.test.StandardTestDispatcher
import kotlinx.coroutines.test.runTest
import org.junit.Assert.assertEquals
import org.junit.Test
@OptIn(ExperimentalCoroutinesApi::class)
class SelectionRepoTest {
private val dispatcher = StandardTestDispatcher()
@Test
fun `unknown mode values do not crash and do not filter out entries`() = runTest(dispatcher) {
val localSource = FakeLocalSource(
entries = listOf(
SatItem(25544, "ISS (ZARYA)", false),
SatItem(40967, "TIANGONG", false)
)
)
val settingsRepo = FakeSettingsRepo(selectedModes = listOf("REMOVED_MODE"))
val repository = SelectionRepo(dispatcher, localSource, settingsRepo)
val flow = repository.getEntriesFlow()
repository.setModes(listOf("REMOVED_MODE"))
val items = flow.first()
assertEquals(listOf(25544, 40967), items.map { it.catnum })
assertEquals(listOf("REMOVED_MODE"), repository.getCurrentModes())
}
@Test
fun `selected satellites are shown first`() = runTest(dispatcher) {
val localSource = FakeLocalSource(
entries = listOf(
SatItem(44444, "Zeta", false),
SatItem(25544, "Alpha", false),
SatItem(40967, "Beta", false)
)
)
val settingsRepo = FakeSettingsRepo(selectedModes = emptyList())
val repository = SelectionRepo(dispatcher, localSource, settingsRepo)
val flow = repository.getEntriesFlow()
repository.setSelection(listOf(40967), true)
val items = flow.first()
assertEquals(listOf(40967, 25544, 44444), items.map { it.catnum })
assertEquals(listOf(true, false, false), items.map { it.isSelected })
}
private class FakeLocalSource(
private val entries: List<SatItem>
) : ILocalSource {
override suspend fun getEntriesTotal(): Int = entries.size
override suspend fun getEntriesList(): List<SatItem> = entries
override suspend fun getEntriesWithIds(ids: List<Int>): List<OrbitalObject> = emptyList()
override suspend fun insertEntries(entries: List<com.rtbishop.look4sat.core.domain.predict.OrbitalData>) = Unit
override suspend fun deleteEntries() = Unit
override suspend fun getIdsWithModes(modes: List<String>): List<Int> = emptyList()
override suspend fun getRadiosTotal(): Int = 0
override suspend fun getRadiosWithId(id: Int): List<SatRadio> = emptyList()
override suspend fun insertRadios(radios: List<SatRadio>) = Unit
override suspend fun deleteRadios() = Unit
}
private class FakeSettingsRepo(
selectedModes: List<String>
) : ISettingsRepo {
override val appVersionName: String = "test"
override val selectedIds: StateFlow<List<Int>> = MutableStateFlow(emptyList())
override val selectedSatModes: MutableStateFlow<List<String>> = MutableStateFlow(selectedModes)
override val passesSettings: StateFlow<PassesSettings> = MutableStateFlow(
PassesSettings(hoursAhead = 24, minElevation = 0.0)
)
override val stationPosition: StateFlow<GeoPos> = MutableStateFlow(GeoPos(0.0, 0.0))
override val databaseState: MutableStateFlow<DatabaseState> = MutableStateFlow(DatabaseState(0, 0, 0L))
override val rcSettings: StateFlow<RCSettings> = MutableStateFlow(
RCSettings(false, "", "", "", false, "", "", "", 0L, false, "", "", "", false, "", "")
)
override val otherSettings: StateFlow<OtherSettings> = MutableStateFlow(
OtherSettings(false, false, false, false, false, false, false, false)
)
override val dataSourcesSettings: StateFlow<DataSourcesSettings> = MutableStateFlow(
DataSourcesSettings(false, false, "", "")
)
override val radioControlSettings: StateFlow<RadioControlSettings> = MutableStateFlow(
RadioControlSettings(false, RadioControlSettings.MODEL_YAESU_FT817, "", "", "", "", 9600)
)
override fun setSelectedIds(ids: List<Int>) = Unit
override fun setSelectedSatModes(modes: List<String>) {
selectedSatModes.value = modes
}
override fun setPassesSettings(settings: PassesSettings) = Unit
override fun setStationPosition(latitude: Double, longitude: Double, altitude: Double): Boolean = true
override suspend fun setStationPosition(): Boolean = true
override fun setStationPosition(locator: String): Boolean = true
override fun getSatelliteTypesIds(types: List<String>): List<Int> = emptyList()
override fun setSatelliteTypeIds(type: String, ids: List<Int>) = Unit
override fun updateDatabaseState(state: DatabaseState) {
databaseState.value = state
}
override fun updateRCSettings(settings: RCSettings) = Unit
override fun updateOtherSettings(transform: (OtherSettings) -> OtherSettings) = Unit
override fun updateDataSourcesSettings(settings: DataSourcesSettings) = Unit
override fun updateRadioControlSettings(settings: RadioControlSettings) = Unit
override fun getSatelliteOffset(catnum: Int): String = ""
override fun setSatelliteOffset(catnum: Int, offset: String) = Unit
}
}
core/domain/src/main/java/com/rtbishop/look4sat/core/domain/aprs/AprsPacket.kt
+35 -23
View File
@@ -2,14 +2,15 @@ package com.rtbishop.look4sat.core.domain.aprs
import kotlin.math.abs
import kotlin.math.round
import java.util.Locale
/**
* APRS-IS 协议核心(纯 Kotlin,无 Android 依赖)。
* 从 APRSdroid 1.6.3d 逆向移植:AprsPacket$.scala + ab0oo Position.java。
* APRS-IS protocol core (pure Kotlin, no Android dependencies).
* Reverse-ported from APRSdroid 1.6.3d: AprsPacket$.scala + ab0oo Position.java.
*/
object AprsPacket {
/** APRS-IS passcode 算法(标准):0x73E2 初值,呼号大写+\0,每对字符 XOR */
/** APRS-IS passcode algorithm (standard): 0x73E2 seed, uppercase callsign + \0, XOR each char pair */
fun passcode(callsign: String): Int {
val s = callsign.split("-")[0].uppercase() + "\u0000"
var hash = 29666 // 0x73E2
@@ -21,40 +22,51 @@ object AprsPacket {
return hash and 0x7FFF
}
/** 登录行:user CALL-SSID pass XXXX vers XXXX */
/** Login line: user CALL-SSID pass XXXX vers XXXX */
fun formatLogin(callsign: String, ssid: String, passcode: Int, version: String): String {
val callSsid = formatCallSsid(callsign, ssid)
return "user $callSsid pass $passcode vers $version"
}
/** 呼号-SSID 拼接(BG7NTA + 5 → BG7NTA-5) */
/** Callsign-SSID join (BG7NTA + 5 -> BG7NTA-5) */
fun formatCallSsid(callsign: String, ssid: String): String {
if (ssid.isNullOrEmpty()) return callsign
return "$callsign-$ssid"
}
/** 可选距离过滤: filter r/lat/lon/dist */
/** Optional distance filter: filter r/lat/lon/dist */
fun formatRangeFilter(latitude: Double, longitude: Double, distKm: Int): String {
return String.format("r/%.3f/%.3f/%d", latitude, longitude, distKm)
return String.format(Locale.ROOT, "r/%.3f/%.3f/%d", latitude, longitude, distKm)
}
/** 高度扩展 /A=00000(英尺) */
/**
* Altitude extension /A=000000 (feet). The field is a fixed six-digit
* decimal, so a negative altitude (below sea level, or a bad GPS fix) must
* be clamped: "%06d" of -164 yields "/A=-00164", which is not a valid
* extension and corrupts the rest of the comment field.
*/
fun formatAltitude(altitudeMeters: Double?): String {
if (altitudeMeters == null) return ""
return String.format("/A=%06d", (altitudeMeters * 3.2808399).toInt())
val feet = (altitudeMeters * 3.2808399).toInt().coerceIn(0, 999999)
return String.format(Locale.ROOT, "/A=%06d", feet)
}
/** 航速航向扩展(节/度) */
/**
* Speed/course extension /CCC/SSS (degrees/knots). Course wraps into
* 0..359 and speed is clamped to three digits, because "%03d" of an
* out-of-range value widens the field and breaks the fixed-width format.
*/
fun formatCourseSpeed(speedMps: Double?, bearing: Float?): String {
if (speedMps == null || bearing == null) return ""
val knots = (speedMps * 1.94384449).toInt()
return String.format("/%03d/%03d", bearing.toInt(), knots)
val knots = (speedMps * 1.94384449).toInt().coerceIn(0, 999)
val course = ((bearing.toInt() % 360) + 360) % 360
return String.format(Locale.ROOT, "/%03d/%03d", course, knots)
}
}
/**
* APRS 位置编码(ab0oo Position.java 逆向移植)。
* 非压缩:DDMM.MMN/DDDMM.MME;压缩:base91。
* APRS position encoding (reverse-ported from ab0oo Position.java).
* Uncompressed: DDMM.MMN/DDDMM.MME; compressed: base91.
*/
class AprsPosition(
val latitude: Double,
@@ -64,14 +76,14 @@ class AprsPosition(
val positionAmbiguity: Int = 0
) {
/** 非压缩格式(APRS-IS 默认上报格式) */
/** Uncompressed format (APRS-IS default reporting format) */
fun toUncompressedString(): String {
val lat = getDMS(latitude, true)
val lon = getDMS(longitude, false)
return "$lat$symbolTable$lon$symbolCode"
}
/** 压缩格式(base91,标准 APRS 算法) */
/** Compressed format (base91, standard APRS algorithm) */
fun toCompressedString(): String {
val jRound = round((90.0 - latitude) * 380926.0).toLong()
val j = jRound / 753571 + 33
@@ -91,7 +103,7 @@ class AprsPosition(
((j8 % 91).toInt() + 33).toChar() + symbolCode
}
/** 单轴 DMS 编码(百分位) */
/** Single-axis DMS encoding (hundredths) */
private fun getDMS(value: Double, isLat: Boolean): String {
var iRound = round(value * 6000.0).toInt()
if (iRound < 0) iRound = -iRound
@@ -100,17 +112,17 @@ class AprsPosition(
val hundredths = iRound % 100
val frac = when (positionAmbiguity) {
1 -> " . "
2 -> String.format("%d . ", minutes / 10)
3 -> String.format("%02d. ", minutes)
4 -> String.format("%02d.%d ", minutes, hundredths / 10)
else -> String.format("%02d.%02d", minutes, hundredths)
2 -> String.format(Locale.ROOT, "%d . ", minutes / 10)
3 -> String.format(Locale.ROOT, "%02d. ", minutes)
4 -> String.format(Locale.ROOT, "%02d.%d ", minutes, hundredths / 10)
else -> String.format(Locale.ROOT, "%02d.%02d", minutes, hundredths)
}
return if (isLat) {
val ns = if (value >= 0) 'N' else 'S'
String.format("%02d%s%c", degrees, frac, ns)
String.format(Locale.ROOT, "%02d%s%c", degrees, frac, ns)
} else {
val ew = if (value >= 0) 'E' else 'W'
String.format("%03d%s%c", degrees, frac, ew)
String.format(Locale.ROOT, "%03d%s%c", degrees, frac, ew)
}
}
}
core/domain/src/main/java/com/rtbishop/look4sat/core/domain/cw/CwBayesianDecoder.kt
-154
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@@ -1,154 +0,0 @@
/*
* Look4Sat. Amateur radio satellite tracker and pass predictor.
* Copyright (C) 2019-2026 Arty Bishop and contributors.
*
* This program is free software: you can redistribute it and/or modify
* it under the terms of the GNU General Public License as published by
* the Free Software Foundation, either version 3 of the License, or
* (at your option) any later version.
*
* This program is distributed in the hope that it will be useful,
* but WITHOUT ANY WARRANTY; without even the implied warranty of
* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
* GNU General Public License for more details.
*
* You should have received a copy of the GNU General Public License
* along with this program. If not, see <https://www.gnu.org/licenses/>.
*/
package com.rtbishop.look4sat.core.domain.cw
/**
* Bayesian Morse timing decoder.
* Replaces hard thresholds with probability-based decision making.
*
* Inspired by VE3NEA's CW Skimmer approach:
* "Instead of making a hard decision at every input sample whether the signal
* is present or not, compute the probability that the signal is present."
*
* Uses Gaussian probability density centered on expected durations:
* P(dit | duration) = exp(-(duration - dotMs)^2 / (2 * variance^2))
* P(dash | duration) = exp(-(duration - 3*dotMs)^2 / (2 * variance^2))
*/
internal class CwBayesianDecoder {
// Morse timing parameters
private var dotDurationMs = 60f // initial 20 WPM
private var speedWpm = 20f
// Current symbol being accumulated
private var currentSymbol = StringBuilder()
private var textBuffer = StringBuilder()
// Recent dit lengths for speed estimation
private val recentDits = mutableListOf<Float>()
// Output
private var _decodedText = ""
val decodedText: String get() = _decodedText
/** Gaussian probability. */
private fun gaussianProb(durationMs: Float, expectedMs: Float, varianceMs: Float): Float {
if (varianceMs <= 0f) return 0f
val diff = durationMs - expectedMs
return kotlin.math.exp(-(diff * diff) / (2 * varianceMs * varianceMs))
}
/** Process a tone duration. Returns the symbol type with highest probability. */
fun processTone(durationMs: Float): ToneResult {
val ditProb = gaussianProb(durationMs, dotDurationMs, dotDurationMs * 0.4f)
val dashProb = gaussianProb(durationMs, dotDurationMs * 3f, dotDurationMs * 0.6f)
return if (ditProb > dashProb && ditProb > 0.05f) {
currentSymbol.append('0')
recentDits.add(durationMs)
updateSpeed()
ToneResult('0', ditProb)
} else if (dashProb > 0.05f) {
currentSymbol.append('1')
ToneResult('1', dashProb)
} else {
ToneResult(null, 0f)
}
}
/** Process a gap duration. Returns decoded character or null. */
fun processGap(durationMs: Float): Char? {
if (currentSymbol.isEmpty()) {
val wordProb = gaussianProb(durationMs, dotDurationMs * 7f, dotDurationMs * 1.2f)
if (wordProb > 0.2f) {
textBuffer.append(' ')
_decodedText = textBuffer.toString()
return ' '
}
return null
}
val interCharProb = gaussianProb(durationMs, dotDurationMs * 3f, dotDurationMs * 0.6f)
val wordProb = gaussianProb(durationMs, dotDurationMs * 7f, dotDurationMs * 1.2f)
if (wordProb > interCharProb && wordProb > 0.2f) {
val char = flushSymbol()
textBuffer.append(' ')
_decodedText = textBuffer.toString()
return char
}
if (interCharProb > 0.15f) {
val char = flushSymbol()
_decodedText = textBuffer.toString()
return char
}
return null
}
private fun flushSymbol(): Char? {
if (currentSymbol.isEmpty()) return null
val morse = currentSymbol.toString()
currentSymbol.clear()
val char = morseToChar(morse)
if (char != null) textBuffer.append(char)
return char
}
private fun updateSpeed() {
if (recentDits.size < 3) return
val sorted = recentDits.sorted()
val median = sorted[sorted.size / 2]
if (median > 0f) {
dotDurationMs = dotDurationMs * 0.7f + median * 0.3f
val wpm = 60.0f / (50.0f * dotDurationMs / 1000.0f)
if (wpm in 5f..55f) speedWpm = wpm
}
}
fun getSpeed(): Float = speedWpm
fun reset() {
dotDurationMs = 60f
speedWpm = 20f
recentDits.clear()
currentSymbol.clear()
textBuffer.clear()
_decodedText = ""
}
companion object {
private val MORSE_TABLE = mapOf(
"01" to 'A', "1000" to 'B', "1010" to 'C', "100" to 'D', "0" to 'E',
"0010" to 'F', "110" to 'G', "0000" to 'H', "00" to 'I', "0111" to 'J',
"101" to 'K', "0100" to 'L', "11" to 'M', "10" to 'N', "111" to 'O',
"0110" to 'P', "1101" to 'Q', "010" to 'R', "000" to 'S', "1" to 'T',
"001" to 'U', "0001" to 'V', "011" to 'W', "1001" to 'X', "1011" to 'Y',
"1100" to 'Z', "01111" to '1', "00111" to '2', "00011" to '3',
"00001" to '4', "00000" to '5', "10000" to '6', "11000" to '7',
"11100" to '8', "11110" to '9', "11111" to '0',
"010101" to '.', "110011" to ',', "001100" to '?', "011110" to '\'',
"101011" to '!', "10010" to '/', "10110" to '(', "101101" to ')',
"01000" to '&', "111000" to ':', "101010" to ';', "10001" to '=',
"01010" to '+', "100001" to '-', "001101" to '_', "010010" to '"',
"0001001" to '$', "011010" to '@'
)
fun morseToChar(morse: String): Char? = MORSE_TABLE[morse]
}
}
data class ToneResult(val symbol: Char?, val probability: Float)
core/domain/src/main/java/com/rtbishop/look4sat/core/domain/cw/CwChannelTracker.kt
-114
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@@ -1,114 +0,0 @@
/*
* Look4Sat. Amateur radio satellite tracker and pass predictor.
* Copyright (C) 2019-2026 Arty Bishop and contributors.
*
* This program is free software: you can redistribute it and/or modify
* it under the terms of the GNU General Public License as published by
* the Free Software Foundation, either version 3 of the License, or
* (at your option) any later version.
*
* This program is distributed in the hope that it will be useful,
* but WITHOUT ANY WARRANTY; without even the implied warranty of
* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
* GNU General Public License for more details.
*
* You should have received a copy of the GNU General Public License
* along with this program. If not, see <https://www.gnu.org/licenses/>.
*/
package com.rtbishop.look4sat.core.domain.cw
/**
* Multi-channel CW signal tracker.
* Monitors the spectrogram for active frequency bins and extracts
* energy envelopes for each detected signal.
*
* Inspired by CW Skimmer's multi-channel approach:
* tracks all active signals in the passband simultaneously,
* selects the best one for decoded output.
*/
internal class CwChannelTracker(
private val spectrogram: CwSpectrogram,
private val maxChannels: Int = 3
) {
data class Channel(
val bin: Int,
val frequency: Float,
var active: Boolean = false,
var energy: Float = 0f,
val history: MutableList<Float> = mutableListOf(),
var confidence: Float = 0f
)
private val channels = Array(maxChannels) { Channel(0, 0f) }
/** Scan the current spectrogram column and update channel tracking. */
fun update(): List<Channel> {
val col = spectrogram.getCurrentColumn()
val peaks = findPeaks(col, threshold = 0.3f, minDistance = 2)
// Update existing channels
for (ch in channels) {
if (ch.active) {
if (peaks.contains(ch.bin)) {
ch.energy = col[ch.bin]
ch.history.add(ch.energy)
if (ch.history.size > 40) ch.history.removeAt(0)
ch.confidence = computeConfidence(ch.history)
} else {
// Signal lost — decay confidence
ch.history.add(0f)
if (ch.history.size > 40) ch.history.removeAt(0)
ch.confidence *= 0.9f
if (ch.confidence < 0.1f) ch.active = false
}
}
}
// Assign new peaks to inactive channels
var peakIdx = 0
for (ch in channels) {
if (!ch.active && peakIdx < peaks.size) {
val bin = peaks[peakIdx]
val freq = spectrogram.binToFreq(bin)
// Re-initialize channel
channels[peakIdx] = Channel(bin, freq, true, col[bin], mutableListOf(), 0.5f)
peakIdx++
}
}
return channels.filter { it.active }
}
/** Find peak bins in the spectrum. */
private fun findPeaks(spectrum: FloatArray, threshold: Float, minDistance: Int): List<Int> {
val peaks = mutableListOf<Int>()
for (i in 1 until spectrum.size - 1) {
if (spectrum[i] > spectrum[i - 1] && spectrum[i] > spectrum[i + 1] && spectrum[i] > threshold) {
if (peaks.isEmpty() || i - peaks.last() >= minDistance) {
peaks.add(i)
}
}
}
return peaks.sortedByDescending { spectrum[it] }
}
/** Compute confidence from energy history. Lower variance = higher confidence. */
private fun computeConfidence(history: List<Float>): Float {
if (history.size < 10) return 0.3f
val recent = history.takeLast(10)
val mean = recent.average().toFloat()
val variance = recent.map { (it - mean) * (it - mean) }.average().toFloat()
return if (mean > 0f) (mean / (mean + variance + 0.1f)).coerceIn(0f, 1f) else 0f
}
/** Get the channel with highest confidence. */
fun getBestChannel(): Channel? {
return channels.filter { it.active }.maxByOrNull { it.confidence }
}
fun reset() {
for (i in channels.indices) {
channels[i] = Channel(0, 0f)
}
}
}
core/domain/src/main/java/com/rtbishop/look4sat/core/domain/cw/CwCtcDecoder.kt
+61
View File
@@ -0,0 +1,61 @@
/*
* Look4Sat. Amateur radio satellite tracker and pass predictor.
* Copyright (C) 2019-2026 Arty Bishop and contributors.
*
* This program is free software: you can redistribute it and/or modify
* it under the terms of the GNU General Public License as published by
* the Free Software Foundation, either version 3 of the License, or
* (at your option) any later version.
*
* This program is distributed in the hope that it will be useful,
* but WITHOUT ANY WARRANTY; without even the implied warranty of
* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
* GNU General Public License for more details.
*
* You should have received a copy of the GNU General Public License
* along with this program. If not, see <https://www.gnu.org/licenses/>.
*/
package com.rtbishop.look4sat.core.domain.cw
/**
* Turns the model's `log_probs` output into text.
*
* Mirrors the reference `greedy_ctc_decode`: take the best class per frame,
* drop blanks, and collapse runs of the same label. A blank between two
* identical labels is what keeps a genuine double letter (for example the
* two N's in "5NN") from collapsing into one.
*/
object CwCtcDecoder {
/**
* @param logProbs `[batch, time, class]`; only batch 0 is read.
* @param chars class index to symbol, excluding the blank.
* @param blankIndex the CTC blank class (41 for this model).
*/
fun greedy(
logProbs: Array<Array<FloatArray>>,
chars: List<String>,
blankIndex: Int
): String {
if (logProbs.isEmpty()) return ""
val frames = logProbs[0]
val builder = StringBuilder()
var previous = -1
for (frame in frames) {
var best = 0
for (i in 1 until frame.size) {
if (frame[i] > frame[best]) best = i
}
if (best == blankIndex) {
previous = -1
continue
}
if (best != previous && best < chars.size) {
builder.append(chars[best])
}
previous = best
}
return builder.toString()
}
}
core/domain/src/main/java/com/rtbishop/look4sat/core/domain/cw/CwDecoder.kt
-165
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@@ -1,165 +0,0 @@
/*
* Look4Sat. Amateur radio satellite tracker and pass predictor.
* Copyright (C) 2019-2026 Arty Bishop and contributors.
*
* This program is free software: you can redistribute it and/or modify
* it under the terms of the GNU General Public License as published by
* the Free Software Foundation, either version 3 of the License, or
* (at your option) any later version.
*
* This program is distributed in the hope that it will be useful,
* but WITHOUT ANY WARRANTY; without even the implied warranty of
* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
* GNU General Public License for more details.
*
* You should have received a copy of the GNU General Public License
* along with this program. If not, see <https://www.gnu.org/licenses/>.
*/
package com.rtbishop.look4sat.core.domain.cw
import kotlinx.coroutines.flow.MutableStateFlow
import kotlinx.coroutines.flow.StateFlow
/**
* CW (Morse code) decoder v3 — Spectrogram-based multi-channel Bayesian decoder.
*
* Architecture inspired by Morse Expert / CW Skimmer (VE3NEA):
* 1. FFT spectrogram creates a frequency×time matrix
* 2. Multi-channel peak detector finds all active signals
* 3. Per-channel energy envelope extraction
* 4. Bayesian probability for symbol timing (Gaussian likelihood)
* 5. Best channel selected for output
*
* Timing analysis is performed per spectrogram column (hop).
* Each column represents hopSize/sampleRate seconds of audio.
*/
class CwDecoder(
val sampleRate: Int = 8000,
cwToneFreq: Float = -1f // ignored in v3 (auto-detect via spectrogram)
) {
companion object {
private const val FFT_SIZE = 256
private const val HOP_SIZE = 64
}
private val spectrogram = CwSpectrogram(
fftSize = FFT_SIZE,
hopSize = HOP_SIZE,
sampleRate = sampleRate,
minBin = 6,
maxBin = 38,
historyCols = 40
)
private val channelTracker = CwChannelTracker(spectrogram, maxChannels = 3)
private val bayesianDecoder = CwBayesianDecoder()
// Timing state per channel
private data class ChannelTiming(
var isSignal: Boolean = false,
var toneTicks: Int = 0,
var gapTicks: Int = 0
)
private val timingStates = Array(3) { ChannelTiming() }
// Time per spectrogram column in milliseconds
private val tickMs = 1000f * HOP_SIZE / sampleRate
// Output flows
private val _decodedTextFlow = MutableStateFlow("")
val decodedTextFlow: StateFlow<String> = _decodedTextFlow
private val _signalStrength = MutableStateFlow(0f)
val signalStrength: StateFlow<Float> = _signalStrength
private val _estimatedPitch = MutableStateFlow<Float?>(null)
val estimatedPitch: StateFlow<Float?> = _estimatedPitch
private val _estimatedSpeed = MutableStateFlow<Float?>(null)
val estimatedSpeed: StateFlow<Float?> = _estimatedSpeed
private var frameCount = 0
init {
if (cwToneFreq > 0f) {
_estimatedPitch.value = cwToneFreq
}
}
fun processBuffer(buffer: FloatArray) {
// 1. Feed samples to spectrogram
spectrogram.addSamples(buffer)
// 2. Get number of new columns generated
val newCols = spectrogram.getNewColumns()
if (newCols == 0) return
// 3. Update channel tracker (uses latest column for peak detection)
val activeChannels = channelTracker.update()
// 4. Process each new column for timing analysis
// Columns are indexed 0..historyCols-1, where historyCols-1 is the newest
val baseIdx = (spectrogram.historyCols - newCols).coerceAtLeast(0)
for (colOffset in 0 until newCols) {
val col = spectrogram.getColumn(baseIdx + colOffset)
for ((idx, channel) in activeChannels.withIndex()) {
if (idx >= timingStates.size) break
val state = timingStates[idx]
val energy = if (channel.bin in col.indices) col[channel.bin] else 0f
// Adaptive threshold
val threshold = 0.3f + (energy - 0.3f) * 0.3f
if (energy > threshold) {
if (!state.isSignal) {
if (state.gapTicks > 0) {
val gapMs = state.gapTicks * tickMs
bayesianDecoder.processGap(gapMs)
}
state.gapTicks = 0
state.isSignal = true
}
state.toneTicks++
} else {
if (state.isSignal) {
if (state.toneTicks > 0) {
val toneMs = state.toneTicks * tickMs
bayesianDecoder.processTone(toneMs)
}
state.toneTicks = 0
state.isSignal = false
}
state.gapTicks++
}
}
}
// 5. Update outputs
frameCount++
if (frameCount % 5 == 0) {
val bestChannel = channelTracker.getBestChannel()
if (bestChannel != null) {
_estimatedPitch.value = bestChannel.frequency
_signalStrength.value = bestChannel.confidence
_estimatedSpeed.value = bayesianDecoder.getSpeed()
}
_decodedTextFlow.value = bayesianDecoder.decodedText
}
}
fun resetDecoder() {
spectrogram.reset()
channelTracker.reset()
bayesianDecoder.reset()
for (state in timingStates) {
state.isSignal = false
state.toneTicks = 0
state.gapTicks = 0
}
frameCount = 0
_decodedTextFlow.value = ""
_signalStrength.value = 0f
_estimatedPitch.value = null
_estimatedSpeed.value = null
}
}
core/domain/src/main/java/com/rtbishop/look4sat/core/domain/cw/CwDeepBuffer.kt
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/*
* Look4Sat. Amateur radio satellite tracker and pass predictor.
* Copyright (C) 2019-2026 Arty Bishop and contributors.
*
* This program is free software: you can redistribute it and/or modify
* it under the terms of the GNU General Public License as published by
* the Free Software Foundation, either version 3 of the License, or
* (at your option) any later version.
*
* This program is distributed in the hope that it will be useful,
* but WITHOUT ANY WARRANTY; without even the implied warranty of
* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
* GNU General Public License for more details.
*
* You should have received a copy of the GNU General Public License
* along with this program. If not, see <https://www.gnu.org/licenses/>.
*/
package com.rtbishop.look4sat.core.domain.cw
/**
* Bounded rolling audio buffer that drives periodic full re-decodes.
*
* DeepCW is a whole-segment CTC model. It rewrites earlier output as more
* context arrives — measured on one clip, 6 of 11 progressively longer reads
* revised the prefix (`BM` -> `BG7` -> `BG7NTI` -> `BG7NTA`). Appending only
* the newest fragment therefore leaves those intermediate guesses on screen
* forever; measured character error rate for sliding-window stitching ranged
* from 67% to 294%, against 0% for decoding the whole segment at once.
*
* So we keep a fixed window, re-run the model over all of it every
* [redecodeIntervalMs], and replace the displayed text outright.
*
* Defaults come from measurement: 20 s is the smallest window that reaches
* 0.0% CER (16 s still errs at 5.9%), while inference cost grows
* super-linearly — 60 s of audio needs roughly 13x longer to decode than
* 20 s does, leaving too little real-time headroom.
*/
class CwDeepBuffer(
sampleRate: Int = CwDeepSpectrogram.SAMPLE_RATE,
maxSeconds: Double = DEFAULT_MAX_SECONDS,
private val redecodeIntervalMs: Int = DEFAULT_REDECODE_INTERVAL_MS
) {
companion object {
const val DEFAULT_MAX_SECONDS = 20.0
const val DEFAULT_REDECODE_INTERVAL_MS = 1500
}
/** Maximum number of samples retained. */
val capacity: Int = (sampleRate * maxSeconds).toInt()
private val samplesPerInterval: Int = sampleRate * redecodeIntervalMs / 1000
private val ring = FloatArray(capacity)
private var writeIndex = 0
private var filled = 0
private var sinceLastRedecode = 0
/**
* Samples evicted from the ring once it is full. They are the audio that
* has scrolled out of the 20 s window, and are handed off (via
* [drainOverflow]) so the decoder can archive them into permanent history
* instead of silently dropping the corresponding text. Pre-allocated to
* [capacity]: overflow never exceeds one window before it is drained.
*/
private val overflow = FloatArray(capacity)
private var overflowSize = 0
/** Samples currently buffered, never above [capacity]. */
val size: Int get() = filled
/** Samples currently held in the overflow (awaiting archival). */
val overflowCount: Int get() = overflowSize
/** True once there is enough audio for the spectrogram to yield a frame. */
val hasEnoughAudio: Boolean get() = filled >= CwDeepSpectrogram.FFT_LENGTH
/**
* Append captured audio, overwriting the oldest samples when full.
*
* @return true when [redecodeIntervalMs] of audio has accumulated since
* the last time this returned true, meaning the caller should re-decode.
*/
fun append(chunk: FloatArray): Boolean {
if (chunk.isNotEmpty()) {
// A chunk longer than the window can only contribute its tail.
val start = maxOf(0, chunk.size - capacity)
for (i in start until chunk.size) {
if (filled == capacity) {
// The slot we are about to overwrite holds the oldest
// sample — move it to the overflow for archival.
overflow[overflowSize++] = ring[writeIndex]
}
ring[writeIndex] = chunk[i]
writeIndex = (writeIndex + 1) % capacity
if (filled < capacity) filled++
}
}
sinceLastRedecode += chunk.size
if (sinceLastRedecode >= samplesPerInterval) {
sinceLastRedecode -= samplesPerInterval
return true
}
return false
}
/** Buffered audio in chronological order, as a copy safe to hand off. */
fun snapshot(): FloatArray {
val out = FloatArray(filled)
if (filled == 0) return out
val start = (writeIndex - filled + capacity) % capacity
val firstRun = minOf(filled, capacity - start)
ring.copyInto(out, 0, start, start + firstRun)
if (firstRun < filled) {
ring.copyInto(out, firstRun, 0, filled - firstRun)
}
return out
}
/**
* Return the evicted samples (chronological order) and clear the overflow.
* Safe to call every append; returns an empty array when nothing has been
* evicted yet.
*/
fun drainOverflow(): FloatArray {
if (overflowSize == 0) return FloatArray(0)
val out = overflow.copyOf(overflowSize)
overflowSize = 0
return out
}
/** Drop all audio (including pending overflow) and restart the interval. */
fun reset() {
writeIndex = 0
filled = 0
sinceLastRedecode = 0
overflowSize = 0
ring.fill(0f)
overflow.fill(0f)
}
}
core/domain/src/main/java/com/rtbishop/look4sat/core/domain/cw/CwDeepSpectrogram.kt
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/*
* Look4Sat. Amateur radio satellite tracker and pass predictor.
* Copyright (C) 2019-2026 Arty Bishop and contributors.
*
* This program is free software: you can redistribute it and/or modify
* it under the terms of the GNU General Public License as published by
* the Free Software Foundation, either version 3 of the License, or
* (at your option) any later version.
*
* This program is distributed in the hope that it will be useful,
* but WITHOUT ANY WARRANTY; without even the implied warranty of
* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
* GNU General Public License for more details.
*
* You should have received a copy of the GNU General Public License
* along with this program. If not, see <https://www.gnu.org/licenses/>.
*/
package com.rtbishop.look4sat.core.domain.cw
import kotlin.math.PI
import kotlin.math.ceil
import kotlin.math.cos
import kotlin.math.floor
import kotlin.math.ln1p
import kotlin.math.roundToInt
import kotlin.math.sqrt
/**
* Audio front-end for the DeepCW model: turns PCM samples into the
* `[time, frequency]` log-magnitude spectrogram the network expects.
*
* Mirrors the upstream Python reference (deepcw-engine
* `examples/python/decode_morse.py`) step for step:
*
* resample -> 3200 Hz, reflect-pad by fft/2, periodic Hann window of 256,
* real FFT, keep bins [32, 97) i.e. 400-1200 Hz, then log1p.
*
* The model's fixed 400-1200 Hz window means pitch detection is built in —
* no spectral peak tracking or squelch gating is needed on our side.
*/
object CwDeepSpectrogram {
/** Model input sample rate, from `model.onnx.json`. */
const val SAMPLE_RATE = 3200
/** FFT window length in samples. */
const val FFT_LENGTH = 256
/** Hop between consecutive frames; 48/3200 = 15.0 ms per frame. */
const val HOP_LENGTH = 48
/**
* Lower edge of the model's analysis window. Public so [CwToneShifter] can
* decide whether a detected tone falls outside it; the value is fixed by the
* trained model and must not be changed without retraining.
*/
const val MIN_FREQ_HZ = 400.0
/** Upper edge of the model's analysis window; see [MIN_FREQ_HZ]. */
const val MAX_FREQ_HZ = 1200.0
/** Number of frequency bins the model expects. */
const val FREQUENCY_BINS = 65
/**
* Widest span worth displaying: DC to Nyquist.
*
* The model reads [MIN_FREQ_HZ]..[MAX_FREQ_HZ], but a tone outside that range leaves
* no trace inside it - measured on keyed audio, the brightest column in the narrow
* view swings 1.01x between key-down and key-up, against 13.76x for a tone the model
* can see. So the narrow view cannot even show that a signal exists, and the display
* spans the whole band instead. Nothing above Nyquist can be shown at all: it aliases.
*/
const val DISPLAY_MIN_FREQ_HZ = 0.0
/** Upper end of the display span; see [DISPLAY_MIN_FREQ_HZ]. */
const val DISPLAY_MAX_FREQ_HZ = SAMPLE_RATE / 2.0
/** Milliseconds of audio represented by one output frame. */
const val MS_PER_FRAME = 1000.0 * HOP_LENGTH / SAMPLE_RATE
private val hannWindow: FloatArray = FloatArray(FFT_LENGTH) { i ->
// numpy: np.hanning(N + 1)[:-1] — the periodic (not symmetric) variant.
(0.5 - 0.5 * cos(2.0 * PI * i / FFT_LENGTH)).toFloat()
}
/**
* Inclusive-exclusive bin range covering [minHz, maxHz].
* Returns `start to stop`, matching the reference's `frequency_bin_range`.
*/
fun frequencyBinRange(
sampleRate: Int,
fftLength: Int,
minHz: Double,
maxHz: Double
): Pair<Int, Int> {
val binHz = sampleRate.toDouble() / fftLength
val start = ceil(minHz / binHz).toInt()
val stop = floor(maxHz / binHz).toInt() + 1
return start to stop
}
/**
* Linear-interpolation resampler. Deliberately dependency-light and
* identical to the reference implementation so spectrograms match.
*/
fun resampleLinear(audio: FloatArray, sourceRate: Int, targetRate: Int): FloatArray {
if (sourceRate == targetRate || audio.isEmpty()) return audio
val targetLength = (audio.size.toDouble() * targetRate / sourceRate).roundToInt()
val out = FloatArray(targetLength)
val ratio = sourceRate.toDouble() / targetRate
for (i in 0 until targetLength) {
val position = i * ratio
val left = floor(position).toInt()
val right = minOf(left + 1, audio.size - 1)
val fraction = (position - left).toFloat()
out[i] = audio[left] * (1f - fraction) + audio[right] * fraction
}
return out
}
/**
* Build the log-magnitude spectrogram. Input must already be at
* [SAMPLE_RATE]; use [resampleLinear] first when it is not.
*
* @return `[frames][FREQUENCY_BINS]` values, all non-negative.
*/
fun compute(
audio: FloatArray,
minHz: Double = MIN_FREQ_HZ,
maxHz: Double = MAX_FREQ_HZ
): Array<FloatArray> {
require(audio.size >= FFT_LENGTH) {
"audio is too short for fftLength=$FFT_LENGTH, got ${audio.size}"
}
val (startBin, stopBin) = frequencyBinRange(SAMPLE_RATE, FFT_LENGTH, minHz, maxHz)
val bins = stopBin - startBin
require(bins > 0) { "empty bin range for $minHz..${maxHz}Hz" }
// The model's range must yield exactly the bin count it was trained on. Written as
// an implication rather than a disjunction of all three terms: `a != x || b != y ||
// bins == n` is satisfied by any custom range regardless of the bin count, which
// would leave the invariant unenforced for the caller most likely to break it.
val isModelRange = minHz == MIN_FREQ_HZ && maxHz == MAX_FREQ_HZ
require(!isModelRange || bins == FREQUENCY_BINS) {
"expected $FREQUENCY_BINS bins for the model range, computed $bins"
}
// Nothing may run off the end of the FFT output: a real signal has FFT_LENGTH / 2
// + 1 distinct bins, and asking beyond Nyquist would index past them.
require(stopBin <= FFT_LENGTH / 2 + 1) {
"maxHz ${maxHz}Hz is above Nyquist ${SAMPLE_RATE / 2}Hz"
}
val padded = reflectPad(audio, FFT_LENGTH / 2)
val frames = 1 + (padded.size - FFT_LENGTH) / HOP_LENGTH
val result = Array(frames) { FloatArray(bins) }
val real = FloatArray(FFT_LENGTH)
val imag = FloatArray(FFT_LENGTH)
for (frame in 0 until frames) {
val offset = frame * HOP_LENGTH
for (i in 0 until FFT_LENGTH) {
real[i] = padded[offset + i] * hannWindow[i]
imag[i] = 0f
}
fftInPlace(real, imag)
val row = result[frame]
for (bin in startBin until stopBin) {
val magnitude = sqrt(real[bin] * real[bin] + imag[bin] * imag[bin])
row[bin - startBin] = ln1p(magnitude.toDouble()).toFloat()
}
}
return result
}
/**
* numpy `mode="reflect"`: mirrors around the edge samples without
* repeating them, so [1,2,3] padded by 2 becomes [3,2,1,2,3,2,1].
*/
private fun reflectPad(audio: FloatArray, pad: Int): FloatArray {
if (pad == 0) return audio
val out = FloatArray(audio.size + 2 * pad)
for (i in 0 until pad) out[i] = audio[pad - i]
audio.copyInto(out, pad)
val last = audio.size - 1
for (i in 0 until pad) out[pad + audio.size + i] = audio[last - 1 - i]
return out
}
/**
* Iterative radix-2 Cooley-Tukey FFT. [FFT_LENGTH] is a power of two, so
* no padding case is needed. Only the first half of the output is read by
* [compute], which is the real-input equivalent of numpy's `rfft`.
*/
private fun fftInPlace(real: FloatArray, imag: FloatArray) {
val n = real.size
// Bit-reversal permutation.
var j = 0
for (i in 1 until n) {
var bit = n shr 1
while (j and bit != 0) {
j = j xor bit
bit = bit shr 1
}
j = j or bit
if (i < j) {
var tmp = real[i]; real[i] = real[j]; real[j] = tmp
tmp = imag[i]; imag[i] = imag[j]; imag[j] = tmp
}
}
var length = 2
while (length <= n) {
val angle = -2.0 * PI / length
val wReal = cos(angle).toFloat()
val wImag = kotlin.math.sin(angle).toFloat()
var i = 0
while (i < n) {
var curReal = 1f
var curImag = 0f
for (k in 0 until length / 2) {
val evenReal = real[i + k]
val evenImag = imag[i + k]
val oddReal = real[i + k + length / 2]
val oddImag = imag[i + k + length / 2]
val mulReal = oddReal * curReal - oddImag * curImag
val mulImag = oddReal * curImag + oddImag * curReal
real[i + k] = evenReal + mulReal
imag[i + k] = evenImag + mulImag
real[i + k + length / 2] = evenReal - mulReal
imag[i + k + length / 2] = evenImag - mulImag
val nextReal = curReal * wReal - curImag * wImag
curImag = curReal * wImag + curImag * wReal
curReal = nextReal
}
i += length
}
length = length shl 1
}
}
}
core/domain/src/main/java/com/rtbishop/look4sat/core/domain/cw/CwDetectionPool.kt
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/*
* Look4Sat. Amateur radio satellite tracker and pass predictor.
* Copyright (C) 2019-2026 Arty Bishop and contributors.
*
* This program is free software: you can redistribute it and/or modify
* it under the terms of the GNU General Public License as published by
* the Free Software Foundation, either version 3 of the License, or
* (at your option) any later version.
*
* This program is distributed in the hope that it will be useful,
* but WITHOUT ANY WARRANTY; without even the implied warranty of
* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
* GNU General Public License for more details.
*
* You should have received a copy of the GNU General Public License
* along with this program. If not, see <https://www.gnu.org/licenses/>.
*/
package com.rtbishop.look4sat.core.domain.cw
/**
* Pools capture chunks until enough audio is available for tone detection.
*
* [CwToneShifter.detectToneHz] scans bin by bin, so it needs a few hundred
* milliseconds to resolve a pitch. A capture chunk is only 320 samples once
* resampled to [CwDeepSpectrogram.SAMPLE_RATE], hence the pooling: without it a
* per-chunk size check can never be satisfied and detection silently never runs.
*
* A ring buffer rather than a sliding array. Detection is throttled to a couple of
* seconds while the pool fills in a few hundred milliseconds, so most chunks arrive
* at a full buffer; shifting the array down one slot per sample cost 320 copies of
* 1280 floats per chunk, measured at 24320 whole-array moves per 10 s of audio on
* the capture thread. Writing to a ring index is O(1).
*
* Not thread-safe: the decoder drives it from a single capture coroutine.
*
* @param capacity samples retained; also the size [drain] returns once full.
*/
class CwDetectionPool(val capacity: Int) {
init {
require(capacity > 0) { "capacity must be positive, was $capacity" }
}
private val samples = FloatArray(capacity)
private var writeIndex = 0
/** Samples currently pooled, never above [capacity]. */
var size: Int = 0
private set
/** True once [capacity] samples are pooled and detection can run. */
val isReady: Boolean get() = size >= capacity
/** Add a chunk, overwriting the oldest samples once full. */
fun add(chunk: FloatArray) {
if (chunk.isEmpty()) return
// A chunk longer than the pool can only contribute its tail.
val start = maxOf(0, chunk.size - capacity)
for (i in start until chunk.size) {
samples[writeIndex] = chunk[i]
writeIndex = (writeIndex + 1) % capacity
if (size < capacity) size++
}
}
/**
* Hand over the pooled audio in chronological order and empty the pool.
*
* Oldest sample first: the detector measures a waveform, so returning the ring in
* storage order would splice it at the wrap point and corrupt every estimate.
*/
fun drain(): FloatArray {
val out = FloatArray(size)
// Once full the oldest sample sits at the write cursor; before that at index 0.
val oldest = if (size == capacity) writeIndex else 0
for (i in 0 until size) {
out[i] = samples[(oldest + i) % capacity]
}
clear()
return out
}
/** Discard everything pooled so far. */
fun clear() {
size = 0
writeIndex = 0
}
}
core/domain/src/main/java/com/rtbishop/look4sat/core/domain/cw/CwDsp.kt
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/*
* Look4Sat. Amateur radio satellite tracker and pass predictor.
* Copyright (C) 2019-2026 Arty Bishop and contributors.
*
* This program is free software: you can redistribute it and/or modify
* it under the terms of the GNU General Public License as published by
* the Free Software Foundation, either version 3 of the License, or
* (at your option) any later version.
*
* This program is distributed in the hope that it will be useful,
* but WITHOUT ANY WARRANTY; without even the implied warranty of
* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
* GNU General Public License for more details.
*
* You should have received a copy of the GNU General Public License
* along with this program. If not, see <https://www.gnu.org/licenses/>.
*/
package com.rtbishop.look4sat.core.domain.cw
import kotlin.math.PI
import kotlin.math.cos
import kotlin.math.sin
import kotlin.math.sqrt
/**
* DSP utilities for CW (Morse code) decoding.
* Pure Kotlin, no NDK required.
*/
internal object CwDsp {
/**
* Design a simple bandpass FIR filter coefficients using windowed sinc method.
* @param lowCutoff lower cutoff frequency (Hz) as fraction of sampleRate
* @param highCutoff upper cutoff frequency (Hz) as fraction of sampleRate
* @param taps filter length (must be odd)
*/
fun bandpassFir(lowCutoff: Double, highCutoff: Double, taps: Int): FloatArray {
val n = if (taps % 2 == 0) taps + 1 else taps
val half = n / 2
val coeffs = FloatArray(n)
for (i in 0 until n) {
val idx = i - half
if (idx == 0) {
coeffs[i] = (2.0 * (highCutoff - lowCutoff)).toFloat()
} else {
val x = PI * idx
coeffs[i] = ((sin(2 * highCutoff * x) - sin(2 * lowCutoff * x)) / x).toFloat()
}
// Hamming window
coeffs[i] = (coeffs[i] * (0.54 - 0.46 * cos(2 * PI * i / (n - 1)))).toFloat()
}
// Normalize
val sum = coeffs.sum()
if (sum != 0f) for (i in 0 until n) coeffs[i] /= sum
return coeffs
}
/** Apply FIR filter to a buffer. */
fun applyFir(buffer: FloatArray, coeffs: FloatArray): FloatArray {
val out = FloatArray(buffer.size)
for (i in buffer.indices) {
var sum = 0f
for (j in coeffs.indices) {
val idx = i - j
if (idx >= 0) sum += buffer[idx] * coeffs[j]
}
out[i] = sum
}
return out
}
/** Simple envelope detector: abs + low-pass smoothing. */
fun envelope(signal: FloatArray, alpha: Float = 0.1f): FloatArray {
val env = FloatArray(signal.size)
var s = 0f
for (i in signal.indices) {
s = alpha * kotlin.math.abs(signal[i]) + (1 - alpha) * s
env[i] = s
}
return env
}
/** Estimate noise floor from envelope for adaptive thresholding. */
fun noiseFloor(env: FloatArray, fraction: Float = 0.3f): Float {
val sorted = env.sortedArray()
val median = sorted[sorted.size / 2]
return median + (sorted[sorted.size * 9 / 10] - median) * fraction
}
/** Simple Goertzel to detect a specific tone frequency. */
fun goertzel(buffer: FloatArray, targetFreq: Float, sampleRate: Int): Float {
val omega = 2.0 * PI * targetFreq / sampleRate
val coeff = 2.0 * cos(omega)
var s0 = 0.0; var s1 = 0.0; var s2 = 0.0
for (sample in buffer) {
s0 = sample.toDouble() + coeff * s1 - s2
s2 = s1; s1 = s0
}
val power = s2 * s2 + s1 * s1 - coeff * s1 * s2
return sqrt(kotlin.math.abs(power)).toFloat()
}
}
core/domain/src/main/java/com/rtbishop/look4sat/core/domain/cw/CwFFT.kt
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/*
* Look4Sat. Amateur radio satellite tracker and pass predictor.
* Copyright (C) 2019-2026 Arty Bishop and contributors.
*
* This program is free software: you can redistribute it and/or modify
* it under the terms of the GNU General Public License as published by
* the Free Software Foundation, either version 3 of the License, or
* (at your option) any later version.
*
* This program is distributed in the hope that it will be useful,
* but WITHOUT ANY WARRANTY; without even the implied warranty of
* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
* GNU General Public License for more details.
*
* You should have received a copy of the GNU General Public License
* along with this program. If not, see <https://www.gnu.org/licenses/>.
*/
package com.rtbishop.look4sat.core.domain.cw
import kotlin.math.cos
import kotlin.math.sqrt
/**
* Radix-2 FFT for real-valued input.
* Produces magnitude spectrum for the first N/2+1 bins.
* Used by CwSpectrogram for time-frequency analysis.
*/
internal class CwFFT(private val n: Int) {
init {
require(n > 0 && n and (n - 1) == 0) { "FFT size must be power of 2, got $n" }
}
private val cosTable = FloatArray(n / 2)
private val sinTable = FloatArray(n / 2)
init {
for (i in 0 until n / 2) {
val angle = -2.0 * kotlin.math.PI * i / n
cosTable[i] = cos(angle).toFloat()
sinTable[i] = kotlin.math.sin(angle).toFloat()
}
}
/** Compute magnitude spectrum for real input. Returns array of size n/2+1. */
fun magnitudeSpectrum(input: FloatArray): FloatArray {
require(input.size == n) { "Input size must be $n, got ${input.size}" }
val real = input.copyOf()
val imag = FloatArray(n)
// Bit-reversal permutation
var j = 0
for (i in 1 until n) {
var bit = n shr 1
while (j and bit != 0) { j = j xor bit; bit = bit shr 1 }
j = j xor bit
if (i < j) {
var tmp = real[i]; real[i] = real[j]; real[j] = tmp
}
}
// Radix-2 Cooley-Tukey FFT
var len = 2
while (len <= n) {
val half = len / 2
val step = n / len
for (i in 0 until n step len) {
for (k in 0 until half) {
val tReal = real[i + k + half] * cosTable[k * step] - imag[i + k + half] * sinTable[k * step]
val tImag = real[i + k + half] * sinTable[k * step] + imag[i + k + half] * cosTable[k * step]
real[i + k + half] = real[i + k] - tReal
imag[i + k + half] = imag[i + k] - tImag
real[i + k] += tReal
imag[i + k] += tImag
}
}
len = len shl 1
}
// Magnitude spectrum (first N/2+1 bins)
val mag = FloatArray(n / 2 + 1)
for (i in 0..n / 2) {
mag[i] = sqrt(real[i] * real[i] + imag[i] * imag[i]) / n
}
return mag
}
}
core/domain/src/main/java/com/rtbishop/look4sat/core/domain/cw/CwFilter.kt
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/*
* Look4Sat. Amateur radio satellite tracker and pass predictor.
* Copyright (C) 2019-2026 Arty Bishop and contributors.
*
* This program is free software: you can redistribute it and/or modify
* it under the terms of the GNU General Public License as published by
* the Free Software Foundation, either version 3 of the License, or
* (at your option) any later version.
*
* This program is distributed in the hope that it will be useful,
* but WITHOUT ANY WARRANTY; without even the implied warranty of
* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
* GNU General Public License for more details.
*
* You should have received a copy of the GNU General Public License
* along with this program. If not, see <https://www.gnu.org/licenses/>.
*/
package com.rtbishop.look4sat.core.domain.cw
/**
* First-order IIR filters.
* Ported from ggmorse/src/filter.h
*/
internal class CwFilter {
private var z1 = 0f
companion object {
private const val PI_F = 3.141592653589793f
}
fun highPass(sample: Float, cutoffHz: Float, sampleRate: Float): Float {
val rc = 1.0f / (2f * PI_F * cutoffHz)
val dt = 1.0f / sampleRate
val alpha = dt / (rc + dt)
z1 = alpha * (z1 + sample - z1)
return sample - z1
}
fun lowPass(sample: Float, cutoffHz: Float, sampleRate: Float): Float {
val rc = 1.0f / (2f * PI_F * cutoffHz)
val dt = 1.0f / sampleRate
val alpha = dt / (rc + dt)
z1 += alpha * (sample - z1)
return z1
}
fun reset() { z1 = 0f }
}
core/domain/src/main/java/com/rtbishop/look4sat/core/domain/cw/CwGoertzel.kt
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/*
* Look4Sat. Amateur radio satellite tracker and pass predictor.
* Copyright (C) 2019-2026 Arty Bishop and contributors.
*
* This program is free software: you can redistribute it and/or modify
* it under the terms of the GNU General Public License as published by
* the Free Software Foundation, either version 3 of the License, or
* (at your option) any later version.
*
* This program is distributed in the hope that it will be useful,
* but WITHOUT ANY WARRANTY; without even the implied warranty of
* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
* GNU General Public License for more details.
*
* You should have received a copy of the GNU General Public License
* along with this program. If not, see <https://www.gnu.org/licenses/>.
*/
package com.rtbishop.look4sat.core.domain.cw
import kotlin.math.cos
import kotlin.math.sqrt
/**
* Running Goertzel filter for CW tone detection.
* Tracks a specific frequency over time with a sliding window.
* Ported from ggmorse/src/goertzel.h
*/
internal class CwGoertzel {
private var s1 = 0.0
private var s2 = 0.0
private var coeff = 0.0
fun init(sampleRate: Float, targetFreq: Float) {
val omega = 2.0 * kotlin.math.PI * targetFreq / sampleRate
coeff = 2.0 * cos(omega)
s1 = 0.0
s2 = 0.0
}
fun process(sample: Float) {
val s0 = sample.toDouble() + coeff * s1 - s2
s2 = s1
s1 = s0
}
fun getPower(): Float {
return sqrt(s2 * s2 + s1 * s1 - coeff * s1 * s2).toFloat()
}
fun reset() {
s1 = 0.0
s2 = 0.0
}
}
core/domain/src/main/java/com/rtbishop/look4sat/core/domain/cw/CwResampler.kt
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/*
* Look4Sat. Amateur radio satellite tracker and pass predictor.
* Copyright (C) 2019-2026 Arty Bishop and contributors.
*
* This program is free software: you can redistribute it and/or modify
* it under the terms of the GNU General Public License as published by
* the Free Software Foundation, either version 3 of the License, or
* (at your option) any later version.
*
* This program is distributed in the hope that it will be useful,
* but WITHOUT ANY WARRANTY; without even the implied warranty of
* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
* GNU General Public License for more details.
*
* You should have received a copy of the GNU General Public License
* along with this program. If not, see <https://www.gnu.org/licenses/>.
*/
package com.rtbishop.look4sat.core.domain.cw
/**
* Simple linear resampler.
* Downsamples from input sample rate to output sample rate.
* Ported from ggmorse/src/resampler.h
*/
internal class CwResampler(private val inputRate: Float, private val outputRate: Float) {
private val ratio = inputRate / outputRate
private var lastSample = 0f
fun process(input: FloatArray): FloatArray {
if (ratio <= 0f || input.isEmpty()) return input
val outputLen = (input.size / ratio).toInt() + 1
val output = FloatArray(outputLen)
var idx = 0f
for (i in output.indices) {
val intIdx = idx.toInt()
val frac = idx - intIdx
if (intIdx + 1 < input.size) {
output[i] = input[intIdx] * (1 - frac) + input[intIdx + 1] * frac
} else if (intIdx < input.size) {
output[i] = input[intIdx] * (1 - frac) + lastSample * frac
} else {
output[i] = lastSample
}
idx += ratio
}
lastSample = input.lastOrNull() ?: lastSample
return output
}
fun reset() {
lastSample = 0f
}
}
core/domain/src/main/java/com/rtbishop/look4sat/core/domain/cw/CwSTFFT.kt
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/*
* Look4Sat. Amateur radio satellite tracker and pass predictor.
* Copyright (C) 2019-2026 Arty Bishop and contributors.
*
* This program is free software: you can redistribute it and/or modify
* it under the terms of the GNU General Public License as published by
* the Free Software Foundation, either version 3 of the License, or
* (at your option) any later version.
*
* This program is distributed in the hope that it will be useful,
* but WITHOUT ANY WARRANTY; without even the implied warranty of
* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
* GNU General Public License for more details.
*
* You should have received a copy of the GNU General Public License
* along with this program. If not, see <https://www.gnu.org/licenses/>.
*/
package com.rtbishop.look4sat.core.domain.cw
import kotlin.math.cos
import kotlin.math.sin
import kotlin.math.sqrt
/**
* Lightweight pitch detector using DFT at specific frequency bins.
* Only scans [200, 1200] Hz in configurable steps — much faster than full FFT.
* Ported from ggmorse/src/stfft.h (simplified for CW use case).
*/
internal class CwPitchDetector(
private val sampleRate: Float,
private val minFreq: Float = 200f,
private val maxFreq: Float = 1200f,
private val stepHz: Float = 10f
) {
/**
* Find the dominant pitch frequency in the buffer.
* Returns null if no significant pitch found.
*/
fun findPitch(buffer: FloatArray): Float? {
if (buffer.isEmpty()) return null
var bestFreq = 0f
var bestPower = 0f
var freq = minFreq
while (freq <= maxFreq) {
var real = 0.0
var imag = 0.0
val omega = 2.0 * kotlin.math.PI * freq / sampleRate
for (i in buffer.indices) {
real += buffer[i] * cos(omega * i)
imag += buffer[i] * -sin(omega * i)
}
val power = (real * real + imag * imag).toFloat()
if (power > bestPower) {
bestPower = power
bestFreq = freq
}
freq += stepHz
}
return if (bestPower > 0.001f) bestFreq else null
}
}
core/domain/src/main/java/com/rtbishop/look4sat/core/domain/cw/CwShiftDecider.kt
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/*
* Look4Sat. Amateur radio satellite tracker and pass predictor.
* Copyright (C) 2019-2026 Arty Bishop and contributors.
*
* This program is free software: you can redistribute it and/or modify
* it under the terms of the GNU General Public License as published by
* the Free Software Foundation, either version 3 of the License, or
* (at your option) any later version.
*
* This program is distributed in the hope that it will be useful,
* but WITHOUT ANY WARRANTY; without even the implied warranty of
* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
* GNU General Public License for more details.
*
* You should have received a copy of the GNU General Public License
* along with this program. If not, see <https://www.gnu.org/licenses/>.
*/
package com.rtbishop.look4sat.core.domain.cw
import kotlin.math.abs
/**
* Decides what shift to apply from a sequence of tone estimates.
*
* Kept out of the decoder so the rule can be exercised directly. The decoder needs an
* Android Context and a loaded ONNX session, so a rule living inside it can only be
* tested by restating it - and a restated rule cannot fail when the real one is wrong.
* Mutation testing proved that: four defects injected into an in-decoder version of this
* logic left the whole suite green.
*
* @param hysteresisHz how far the tone must move before the shift is revised.
*/
class CwShiftDecider(private val hysteresisHz: Float = DEFAULT_HYSTERESIS_HZ) {
companion object {
/**
* Default margin before re-shifting, in Hz.
*
* Detection resolves to 12.5 Hz and a real tone wanders, so a couple of scan bins
* of jitter must not count as a retune: revising the shift costs the whole 20 s
* decode window, which is worth far more than perfect centring.
*/
const val DEFAULT_HYSTERESIS_HZ = 40f
}
/** Shift currently applied to incoming audio; 0 when the tone needs no move. */
var shiftHz: Float = 0f
private set
/**
* Tone that produced [shiftHz]. Hysteresis compares against this rather than against
* the previous shift, because a shift of 0 is a real state: at the window edge one
* 12.5 Hz estimate hop flips between "inside" (shift 0) and "outside" (a large
* shift), and a shift-space comparison lapses exactly where the jump is largest.
*/
var anchorToneHz: Float? = null
private set
/** What [accept] decided, for logging. */
enum class Outcome {
/** No tone in the window; the existing shift was retained. */
NO_TONE,
/** The tone moved less than the margin; the existing shift was retained. */
WITHIN_HYSTERESIS,
/** The tone is inside the model window, so no shift is needed. */
NO_SHIFT_NEEDED,
/** The shift was updated to move an out-of-window tone into range. */
SHIFTED
}
/** Result of feeding one detection to the decider. */
data class Decision(
val outcome: Outcome,
/** Shift in force after the decision. */
val shiftHz: Float,
/** True when [shiftHz] differs from the value before this decision. */
val changed: Boolean,
/** Tone the decision was based on, null when none was detected. */
val toneHz: Float?
)
/**
* Feed one tone analysis and get the shift to apply.
*
* Silence retains the current shift rather than clearing it: CW is keyed, so a
* detection window landing in a gap carries no information about the pitch. Treating
* it as an authoritative "no shift" collapsed established shifts - measured over
* 180 s of keyed audio at 1400 Hz, 11 of 90 windows saw no tone, and each one left
* the following audio unshifted and therefore invisible to the model.
*/
fun accept(analysis: CwToneShifter.Analysis): Decision {
val previousShift = shiftHz
val toneHz = analysis.toneHz
?: return Decision(Outcome.NO_TONE, previousShift, changed = false, toneHz = null)
val anchor = anchorToneHz
if (anchor != null && abs(toneHz - anchor) < hysteresisHz) {
return Decision(Outcome.WITHIN_HYSTERESIS, previousShift, changed = false, toneHz = toneHz)
}
shiftHz = analysis.shiftHz
anchorToneHz = toneHz
val outcome = if (analysis.needsShift) Outcome.SHIFTED else Outcome.NO_SHIFT_NEEDED
return Decision(outcome, shiftHz, changed = shiftHz != previousShift, toneHz = toneHz)
}
/** Forget the current shift and anchor, e.g. when the feature is toggled or reset. */
fun reset() {
shiftHz = 0f
anchorToneHz = null
}
}
core/domain/src/main/java/com/rtbishop/look4sat/core/domain/cw/CwSpectrogram.kt
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/*
* Look4Sat. Amateur radio satellite tracker and pass predictor.
* Copyright (C) 2019-2026 Arty Bishop and contributors.
*
* This program is free software: you can redistribute it and/or modify
* it under the terms of the GNU General Public License as published by
* the Free Software Foundation, either version 3 of the License, or
* (at your option) any later version.
*
* This program is distributed in the hope that it will be useful,
* but WITHOUT ANY WARRANTY; without even the implied warranty of
* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
* GNU General Public License for more details.
*
* You should have received a copy of the GNU General Public License
* along with this program. If not, see <https://www.gnu.org/licenses/>.
*/
package com.rtbishop.look4sat.core.domain.cw
/**
* Sliding-window spectrogram for CW decoding.
* Maintains a time-frequency matrix updated with each audio frame.
*
* FFT size: 256, hop size: 64, sample rate: 4000 (or native)
* Frequency bins: 6..38 (187-1187 Hz, covers typical CW range)
* History: 40 columns (320 ms window)
* Time resolution: 64/4000 = 16 ms, Frequency resolution: 4000/256 = 15.625 Hz
*/
internal class CwSpectrogram(
private val fftSize: Int = 256,
private val hopSize: Int = 64,
private val sampleRate: Int = 4000,
private val minBin: Int = 6,
private val maxBin: Int = 38,
val historyCols: Int = 40
) {
private val fft = CwFFT(fftSize)
val numBins: Int get() = maxBin - minBin + 1
// Hanning window
private val hanning = FloatArray(fftSize) {
(0.5 - 0.5 * kotlin.math.cos(2.0 * kotlin.math.PI * it / (fftSize - 1))).toFloat()
}
// Spectrogram data: [timeCol][freqBin]
private val spectrogram = Array(historyCols) { FloatArray(numBins) }
private var currentCol = 0
private var samplesBuffered = 0
private val buffer = FloatArray(fftSize)
// Per-bin running energy for normalization
private val binEnergy = FloatArray(numBins) { 1f }
private val alpha = 0.95f
// Counter for new columns generated since last check
private var newColumnCount = 0
/** Add audio samples, compute FFTs for each complete hop. */
fun addSamples(samples: FloatArray) {
var offset = 0
while (offset < samples.size) {
val needed = fftSize - samplesBuffered
val copyLen = minOf(needed, samples.size - offset)
System.arraycopy(samples, offset, buffer, samplesBuffered, copyLen)
samplesBuffered += copyLen
offset += copyLen
if (samplesBuffered >= fftSize) {
processFrame()
newColumnCount++
// Shift buffer: keep last (fftSize - hopSize) samples
System.arraycopy(buffer, hopSize, buffer, 0, fftSize - hopSize)
samplesBuffered = fftSize - hopSize
}
}
}
/** Get number of new columns generated since the last call to this method. */
fun getNewColumns(): Int {
val count = newColumnCount
newColumnCount = 0
return count
}
private fun processFrame() {
// Apply Hanning window
val windowed = FloatArray(fftSize) { buffer[it] * hanning[it] }
// Compute FFT magnitude spectrum
val mag = fft.magnitudeSpectrum(windowed)
// Update spectrogram column
val col = spectrogram[currentCol]
for (b in 0 until numBins) {
val binIdx = minBin + b
val rawMag = mag[binIdx]
// Running energy normalization
binEnergy[b] = alpha * binEnergy[b] + (1 - alpha) * rawMag
col[b] = if (binEnergy[b] > 1e-6f) rawMag / binEnergy[b] else 0f
}
currentCol = (currentCol + 1) % historyCols
}
/** Get the current spectrogram as a 2D array in chronological order. */
fun getSpectrogram(): Array<FloatArray> {
val result = Array(historyCols) { i ->
val srcIdx = (currentCol + i) % historyCols
spectrogram[srcIdx].copyOf()
}
return result
}
/** Get the most recent column (current energy across all frequencies). */
fun getCurrentColumn(): FloatArray {
val prevCol = (currentCol - 1 + historyCols) % historyCols
return spectrogram[prevCol].copyOf()
}
/** Get a column by index from the history (0 = oldest, historyCols-1 = newest). */
fun getColumn(index: Int): FloatArray {
val clamped = index.coerceIn(0, historyCols - 1)
val srcIdx = (currentCol - historyCols + clamped + historyCols) % historyCols
return spectrogram[srcIdx].copyOf()
}
/** Find the frequency bin with peak energy. Returns -1 if no significant signal. */
fun findPeakBin(): Int {
val col = getCurrentColumn()
var maxBin = -1
var maxVal = 0f
for (i in col.indices) {
if (col[i] > maxVal) {
maxVal = col[i]
maxBin = i
}
}
return if (maxVal > 0.3f) maxBin else -1
}
/** Get energy at a specific bin over the last N columns in chronological order. */
fun getBinEnergy(bin: Int, numCols: Int): FloatArray {
val clamped = minOf(numCols, historyCols)
val result = FloatArray(clamped)
for (i in 0 until clamped) {
val colIdx = (currentCol - clamped + i + historyCols) % historyCols
result[i] = spectrogram[colIdx][bin]
}
return result
}
/** Get the bin index for a frequency in Hz. */
fun freqToBin(freqHz: Float): Int {
val bin = (freqHz * fftSize / sampleRate).toInt()
return (bin - minBin).coerceIn(0, numBins - 1)
}
/** Get the center frequency for a bin. */
fun binToFreq(bin: Int): Float {
return (minBin + bin).toFloat() * sampleRate / fftSize
}
fun reset() {
for (col in spectrogram) col.fill(0f)
currentCol = 0
samplesBuffered = 0
buffer.fill(0f)
binEnergy.fill(1f)
}
}
core/domain/src/main/java/com/rtbishop/look4sat/core/domain/cw/CwToneShifter.kt
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/*
* Look4Sat. Amateur radio satellite tracker and pass predictor.
* Copyright (C) 2019-2026 Arty Bishop and contributors.
*
* This program is free software: you can redistribute it and/or modify
* it under the terms of the GNU General Public License as published by
* the Free Software Foundation, either version 3 of the License, or
* (at your option) any later version.
*
* This program is distributed in the hope that it will be useful,
* but WITHOUT ANY WARRANTY; without even the implied warranty of
* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
* GNU General Public License for more details.
*
* You should have received a copy of the GNU General Public License
* along with this program. If not, see <https://www.gnu.org/licenses/>.
*/
package com.rtbishop.look4sat.core.domain.cw
import kotlin.math.PI
import kotlin.math.cos
import kotlin.math.hypot
import kotlin.math.sin
/**
* Moves an out-of-range CW tone into the model's analysis window.
*
* The DeepCW model only sees [CwDeepSpectrogram.MIN_FREQ_HZ]..[CwDeepSpectrogram.MAX_FREQ_HZ];
* its input tensor width is fixed, so the window itself cannot be widened without
* retraining. Instead a tone that sits outside the window is frequency-shifted to
* [TARGET_HZ] before the spectrogram is built, which extends the usable pitch range
* to roughly 100 Hz..Nyquist without touching the model.
*
* ### Why single-sideband mixing
* Plain real mixing (`x * cos(2*pi*delta*t)`) produces both `tone+delta` and
* `tone-delta`. Measured on a 1500 Hz tone shifted to 800 Hz, the unwanted image
* folded back to 1000 Hz at 0.999 of the wanted amplitude — inside the window and
* as loud as the signal. Upsampling first only moves the problem: shifting a 300 Hz
* tone up produced a 200 Hz image at 0.996.
*
* A Hilbert transformer removes the negative-frequency half first, so mixing the
* resulting analytic signal yields one sideband only. Across nine probe tones
* (150..1550 Hz) that leaves a single spectral peak at the target with no component
* above 0.3 relative amplitude.
*
* All functions are pure; the caller decides whether shifting is wanted.
*/
object CwToneShifter {
/**
* Where an out-of-window tone is moved to: the centre of the analysis window,
* so the keying sidebands have equal headroom on both sides.
*/
const val TARGET_HZ = 800.0
/**
* Tones below this are treated as absent rather than shifted. Mains hum and DC
* drift live down here, and a real CW note that low is unusable anyway.
*/
const val MIN_DETECTABLE_HZ = 100.0
/**
* A detected peak must exceed the spectrum mean by this factor to count as a tone.
*
* Chosen from measurements on 1280-sample (400 ms) windows of keyed CW in noise.
* Pure noise peaks at 2.2-3.4 times its own spectral mean, so 3.0 admitted roughly
* one noise window in five. Raising it as far as 8.0 then rejected comfortably
* copyable signals: keyed CW measures 7.6-9.0 at 0 dB SNR and only 5.2-6.7 at -3 dB.
*
* 4.5 gives zero false positives across 40 noise windows while keeping the weaker
* end of usable signals. The asymmetry is deliberate: a false tone is worse than a
* missed one, because it moves a perfectly good signal out of the model's range,
* whereas a miss just leaves the audio alone until a stronger window arrives.
*
* Windows dominated by keying gaps (a slow fist, under ~25% tone) sit at 2.4 and are
* indistinguishable from noise at any threshold; those are skipped, not guessed at.
*/
const val MIN_PROMINENCE = 4.5
/** Hilbert transformer length. Odd so the group delay is a whole sample. */
private const val HILBERT_TAPS = 63
/** Frequency resolution of [detectToneHz], in Hz. */
private const val DETECT_STEP_HZ = 12.5
/** Windowed Hilbert transformer: h[n] = 2/(pi*n) for odd n, 0 otherwise. */
private val hilbertKernel: FloatArray = FloatArray(HILBERT_TAPS) { i ->
val n = i - HILBERT_TAPS / 2
val ideal = if (n == 0 || n % 2 == 0) 0.0 else 2.0 / (PI * n)
// Hamming window; without it the truncated kernel ripples badly.
val window = 0.54 - 0.46 * cos(2.0 * PI * i / (HILBERT_TAPS - 1))
(ideal * window).toFloat()
}
/** Group delay of [hilbertKernel], applied to the real path to keep them aligned. */
private const val HILBERT_DELAY = HILBERT_TAPS / 2
/** Outcome of inspecting a chunk of audio. */
data class Analysis(
/** Detected tone in Hz, or null when the audio is noise. */
val toneHz: Float?,
/** True when [toneHz] sits outside the model's window and can be shifted. */
val needsShift: Boolean,
/** Hz the tone would be moved by; 0 when no shift applies. */
val shiftHz: Float
)
/**
* Estimate the dominant tone by scanning [MIN_DETECTABLE_HZ]..Nyquist with a
* Goertzel-style single-bin DFT.
*
* Deliberately not reusing [CwDeepSpectrogram]: that clips to the model window,
* which is exactly the region an out-of-range tone is *not* in.
*
* @return the peak frequency, or null when nothing stands out from the noise.
*/
fun detectToneHz(audio: FloatArray, sampleRate: Int): Float? {
if (audio.size < 64) return null
val nyquist = sampleRate / 2.0
// A Hann window stops the scan from smearing energy across neighbours.
val window = FloatArray(audio.size) { i ->
(0.5 - 0.5 * cos(2.0 * PI * i / (audio.size - 1))).toFloat()
}
var bestHz = 0.0
var bestMagnitude = 0.0
var total = 0.0
var bins = 0
var hz = MIN_DETECTABLE_HZ
while (hz <= nyquist) {
var real = 0.0
var imag = 0.0
val omega = 2.0 * PI * hz / sampleRate
for (i in audio.indices) {
val value = audio[i] * window[i]
real += value * cos(omega * i)
imag -= value * sin(omega * i)
}
val magnitude = hypot(real, imag) / audio.size
total += magnitude
bins++
if (magnitude > bestMagnitude) {
bestMagnitude = magnitude
bestHz = hz
}
hz += DETECT_STEP_HZ
}
if (bins == 0 || bestMagnitude <= 0.0) return null
val mean = total / bins
// Pure noise has a flat spectrum, so the peak barely beats the mean.
if (mean <= 0.0 || bestMagnitude < mean * MIN_PROMINENCE) return null
return bestHz.toFloat()
}
/**
* Decide whether [audio] needs shifting, without modifying it.
*
* A tone already inside the window is left alone: shifting it would add filter
* ringing and rounding for no benefit, and the model handles it natively.
*/
fun analyse(audio: FloatArray, sampleRate: Int): Analysis {
val tone = detectToneHz(audio, sampleRate)
?: return Analysis(toneHz = null, needsShift = false, shiftHz = 0f)
val inWindow = tone >= CwDeepSpectrogram.MIN_FREQ_HZ && tone <= CwDeepSpectrogram.MAX_FREQ_HZ
if (inWindow) return Analysis(toneHz = tone, needsShift = false, shiftHz = 0f)
return Analysis(
toneHz = tone,
needsShift = true,
shiftHz = (TARGET_HZ - tone).toFloat()
)
}
/**
* Shift [audio] by [shiftHz] using single-sideband mixing.
*
* The Hilbert transformer suppresses the negative-frequency half, so only the
* wanted sideband survives; see the class docs for the measured alternative.
* Returns a new array; [audio] is not modified.
*
* Stateless: [audio] is treated as an isolated signal, so the first and last
* [HILBERT_DELAY] samples convolve against zeros instead of the neighbouring
* audio. Fine for a whole buffer, but it corrupts 62 of every 320 samples when
* called per capture chunk, so streaming callers must use [Streaming].
*/
fun shift(audio: FloatArray, shiftHz: Float, sampleRate: Int): FloatArray {
if (shiftHz == 0f || audio.isEmpty()) return audio
// Quadrature path: audio convolved with the Hilbert kernel.
val quadrature = FloatArray(audio.size)
for (i in audio.indices) {
var sum = 0f
for (k in hilbertKernel.indices) {
val j = i - k + HILBERT_DELAY
if (j >= 0 && j < audio.size) sum += hilbertKernel[k] * audio[j]
}
quadrature[i] = sum
}
// Re{(inPhase + j*quadrature) * e^(j*2*pi*shift*t)}
val out = FloatArray(audio.size)
val step = 2.0 * PI * shiftHz / sampleRate
for (i in audio.indices) {
val phase = step * i
out[i] = clampToUnit(audio[i] * cos(phase) - quadrature[i] * sin(phase))
}
return out
}
/**
* Chunk-by-chunk shifter that carries the state [shift] cannot.
*
* Two things must survive across calls for concatenated chunks to form a clean
* signal:
*
* 1. **Filter history.** The Hilbert FIR spans [HILBERT_TAPS] samples, so the
* first outputs of a chunk need the previous chunk's tail. Without it those
* samples convolve against zeros; measured on 320-sample chunks that distorts
* 62 of them (19%) and inflates envelope ripple to 8.7x the whole-buffer
* baseline.
* 2. **Mixer phase.** Restarting the local oscillator at zero every chunk puts a
* phase step at every boundary.
*
* One difference from [shift] remains and is unavoidable: output sample `i` ideally
* needs input up to `i + HILBERT_DELAY`, which for the last samples of a chunk has
* not been captured yet. Those trailing taps therefore see zeros. Measured against
* a whole-buffer shift the divergence is confined to the final 3 samples of each
* 320-sample chunk and disappears immediately after the boundary — under 1% of the
* audio, versus a 20 WPM dot spanning 192 samples. Buffering a chunk to remove it
* would add 10 ms of latency for no decoding benefit.
*
* Not thread-safe: the decoder drives it from a single capture coroutine.
*/
class Streaming {
private val history = FloatArray(HILBERT_TAPS - 1)
private var phase = 0.0
/** Shift one chunk, continuing the filter and oscillator state. */
fun process(chunk: FloatArray, shiftHz: Float, sampleRate: Int): FloatArray {
if (shiftHz == 0f || chunk.isEmpty()) {
// Still advance the history, so enabling a shift later starts from real
// audio rather than the silence left over from before.
pushHistory(chunk)
return chunk
}
// Convolve over [history || chunk] so every output sees real samples.
val combined = FloatArray(history.size + chunk.size)
history.copyInto(combined)
chunk.copyInto(combined, history.size)
val out = FloatArray(chunk.size)
val step = 2.0 * PI * shiftHz / sampleRate
for (i in chunk.indices) {
val centre = history.size + i
var quadrature = 0f
for (k in hilbertKernel.indices) {
val j = centre - k + HILBERT_DELAY
if (j >= 0 && j < combined.size) quadrature += hilbertKernel[k] * combined[j]
}
val currentPhase = phase + step * i
val mixed = combined[centre] * cos(currentPhase) - quadrature * sin(currentPhase)
out[i] = clampToUnit(mixed)
}
// Keep the phase bounded; letting it grow loses float precision.
phase = (phase + step * chunk.size) % (2.0 * PI)
pushHistory(chunk)
return out
}
/** Clear filter history and phase, e.g. after a decoder reset. */
fun reset() {
history.fill(0f)
phase = 0.0
}
/** Keep the most recent [history] samples of the stream. */
private fun pushHistory(chunk: FloatArray) {
if (chunk.isEmpty()) return
if (chunk.size >= history.size) {
chunk.copyInto(history, 0, chunk.size - history.size, chunk.size)
} else {
history.copyInto(history, 0, chunk.size, history.size)
chunk.copyInto(history, history.size - chunk.size)
}
}
}
/**
* Convenience wrapper: analyse [audio] and shift it only when the tone is
* outside the model window.
*
* @return the audio to feed the model (the original array when no shift was
* needed) paired with the [Analysis] that produced the decision, so callers
* can log what happened.
*/
fun shiftIfOutsideWindow(audio: FloatArray, sampleRate: Int): Pair<FloatArray, Analysis> {
val analysis = analyse(audio, sampleRate)
if (!analysis.needsShift) return audio to analysis
return shift(audio, analysis.shiftHz, sampleRate) to analysis
}
/**
* Keep a mixed sample inside the +/-1.0 range the spectrogram assumes.
*
* The Hilbert kernel has an L1 gain of 2.51, so summing the in-phase and quadrature
* paths can exceed unity even for a full-scale sine (measured 1.05 at 1500 Hz, 2.35
* for a square wave). The spectrogram takes log1p of the magnitude, so an overshoot
* is not fatal, but it shifts the level the model was trained on.
*/
private fun clampToUnit(value: Double): Float = when {
value > 1.0 -> 1f
value < -1.0 -> -1f
else -> value.toFloat()
}
/** True when [toneHz] lies inside the model's analysis window. */
fun isInsideWindow(toneHz: Float): Boolean =
toneHz >= CwDeepSpectrogram.MIN_FREQ_HZ && toneHz <= CwDeepSpectrogram.MAX_FREQ_HZ
}
core/domain/src/main/java/com/rtbishop/look4sat/core/domain/cw/ICwDecoder.kt
+85
View File
@@ -0,0 +1,85 @@
/*
* Look4Sat. Amateur radio satellite tracker and pass predictor.
* Copyright (C) 2019-2026 Arty Bishop and contributors.
*
* This program is free software: you can redistribute it and/or modify
* it under the terms of the GNU General Public License as published by
* the Free Software Foundation, either version 3 of the License, or
* (at your option) any later version.
*
* This program is distributed in the hope that it will be useful,
* but WITHOUT ANY WARRANTY; without even the implied warranty of
* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
* GNU General Public License for more details.
*
* You should have received a copy of the GNU General Public License
* along with this program. If not, see <https://www.gnu.org/licenses/>.
*/
package com.rtbishop.look4sat.core.domain.cw
import kotlinx.coroutines.flow.StateFlow
/**
* A CW (Morse code) decoder fed with microphone PCM.
*
* Implementations live outside `core:domain` when they need platform APIs;
* this contract stays pure Kotlin so the UI can depend on it directly.
*/
interface ICwDecoder {
/**
* Decoded text for the *current* window.
*
* Note this is **replace** semantics, not append: a whole-segment model
* revises earlier characters as more audio arrives, so consumers must show
* the current value rather than accumulating emissions.
*/
val decodedText: StateFlow<String>
/**
* Permanent transcript of everything that has scrolled out of the live
* window. Unlike [decodedText] this only ever grows (until [reset]); it is
* what the user reads back after a signal has passed.
*/
val historyText: StateFlow<String>
/**
* Pitch of the tone the model is decoding, in Hz, or null before one is found.
*
* Derived from the spectrogram, so it can only ever report a frequency inside the
* model's analysis window. For the pitch of a tone the model cannot see, use
* [detectedToneHz].
*/
val estimatedPitch: StateFlow<Float?>
/**
* Pitch of the loudest tone in the raw audio, in Hz, or null when none stands out.
*
* Unlike [estimatedPitch] this is measured before any shifting and over the full
* audio bandwidth, so it can report a tone the model's window excludes — which is
* the only way to tell the operator that nothing is being decoded because their tone
* is out of range.
*/
val detectedToneHz: StateFlow<Float?>
/** Current shift applied to bring the tone into the model's window, 0f when idle. */
val activeShiftHz: StateFlow<Float>
/** Relative signal strength in 0..1 for level meters. */
val signalStrength: StateFlow<Float>
/** Most recent inference duration in milliseconds, for diagnostics. */
val lastInferenceMs: StateFlow<Int>
/** Non-null when the decoder cannot run, for example the model failed to load. */
val errorMessage: StateFlow<String?>
/** Feed captured mono PCM in -1..1. Safe to call from a capture thread. */
suspend fun processBuffer(samples: FloatArray, sampleRate: Int)
/** Clear decoded text and buffered audio. */
fun reset()
/** Release native resources. Must be called when the decoder goes away. */
fun close()
}
core/domain/src/main/java/com/rtbishop/look4sat/core/domain/model/Constants.kt
+23
View File
@@ -0,0 +1,23 @@
/*
* Look4Sat. Amateur radio satellite tracker and pass predictor.
* Copyright (C) 2019-2026 Arty Bishop and contributors.
*
* This program is free software: you can redistribute it and/or modify
* it under the terms of the GNU General Public License as published by
* the Free Software Foundation, either version 3 of the License, or
* (at your option) any later version.
*
* This program is distributed in the hope that it will be useful,
* but WITHOUT ANY WARRANTY; without even the implied warranty of
* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
* GNU General Public License for more details.
*
* You should have received a copy of the GNU General Public License
* along with this program. If not, see <https://www.gnu.org/licenses/>.
*/
package com.rtbishop.look4sat.core.domain.model
object Constants {
const val FREQ_OFFSET_MIN_HZ = -50_000L
const val FREQ_OFFSET_MAX_HZ = 50_000L
}
core/domain/src/main/java/com/rtbishop/look4sat/core/domain/model/SatStatus.kt
+7 -6
View File
@@ -1,6 +1,6 @@
package com.rtbishop.look4sat.core.domain.model
/** 单条卫星状态报告(AMSAT 网站 tooltip 数据) */
/** One satellite status report (AMSAT site tooltip data) */
data class SatReport(
val id: String, // 报告 ID(a885153)
val statusText: String, // Heard / Telemetry Only / Not Heard ...
@@ -10,26 +10,27 @@ data class SatReport(
val timeUtc: String // 2:46-:59 UTC
)
/** 单个 2 小时槽的状态 */
/** State of one 2-hour slot */
data class SatSlot(
val statusColor: Long, // ARGB 状态色(-1 = 无报告)
val count: Int, // 报告数量(0 = 无)
val reportIds: List<String> = emptyList() // 该槽报告 ID 列表
)
/** 卫星一天的状态(12 个 2 小时槽) */
/** One satellite day (12 two-hour slots) */
data class SatDay(
val dateLabel: String, // "Aug 4"
val slots: List<SatSlot> // 12 槽(00-02 ... 22-24)
)
/** 单个卫星 6 天状态 */
/** One satellite, 3 days of state */
data class SatStatus(
val name: String, // "AO-123_[FM]"
val days: List<SatDay> // 6 天(新→旧)
val days: List<SatDay>, // 3 天(新→旧)
val summaryCount: Int = 0 // 0 means unknown; used for data-completeness marking
)
/** 页面整体解析结果 */
/** Overall page parse result */
data class SatStatusPage(
val fetchedAtUtcMs: Long,
val statuses: List<SatStatus>,
core/domain/src/main/java/com/rtbishop/look4sat/core/domain/model/Settings.kt
+25 -7
View File
@@ -29,8 +29,7 @@ data class PassesSettings(
val minElevation: Double,
val aosStartMinute: Int = 0,
val aosEndMinute: Int = 23 * 60 + 59,
val invertAosTimeWindow: Boolean = false,
val selectedModes: List<String>
val invertAosTimeWindow: Boolean = false
)
data class RCSettings(
@@ -42,6 +41,7 @@ data class RCSettings(
val frequencyAddress: String,
val frequencyPort: String,
val frequencyFormat: String,
val frequencyOffsetHz: Long = 0L,
val bluetoothRotatorState: Boolean,
val bluetoothRotatorFormat: String,
val bluetoothRotatorName: String,
@@ -63,17 +63,35 @@ data class OtherSettings(
val sstvMode: String = "Auto",
val lowElevation: Double = 15.0,
val highElevation: Double = 45.0,
// UI 设置: 底部导航栏隐藏的页面(Screen simpleName 列表, 默认空 = 全部显示)
// UI settings: pages hidden from the bottom nav (Screen simpleName list; empty default = all shown)
val hiddenScreens: List<String> = emptyList(),
// UI 设置: 页面顺序(空 = 默认顺序: 卫星/过境/雷达/地图/设置)
// UI settings: page order (empty = default: Satellites/Passes/Radar/Map/Settings)
val screenOrder: List<String> = emptyList(),
// UI 设置: 更多菜单顺序(空 = 默认: 匹配/漫游/CW解码)
// UI settings: More-menu order (empty = default: Mutual/Roaming/CW decode)
val subMenuOrder: List<String> = emptyList(),
// WaveLog 日志系统(4.5.2): 服务器配置
// WaveLog logging (4.5.2): server config
val wavelogUrl: String = "",
val wavelogApiKey: String = "",
val wavelogStationId: String = "",
val wavelogAutoUpload: Boolean = false
val wavelogAutoUpload: Boolean = false,
// Upstream radar compass offset (merged from rt-bishop)
val radarCompassOffset: Float = 0f,
val radarCompassOffsetElev: Float = 0f,
/**
* Shift a CW tone that sits outside the model's 400-1200 Hz analysis window into
* it before decoding. Off by default: when disabled the audio path is unchanged,
* and a tone already inside the window is never touched either way.
*/
val cwToneShiftEnabled: Boolean = false,
/**
* Draw each AMSAT day as twelve two-hour stripes rather than one colour.
*
* On by default: a single colour is taken from the first slot with a report, so a
* satellite that worked all morning and failed all afternoon looks identical to one
* that worked once. Some operators prefer the older, simpler tile, hence the switch.
*/
val amsatDayStripes: Boolean = true
)
data class DataSourcesSettings(
core/domain/src/main/java/com/rtbishop/look4sat/core/domain/navigation/MenuLayout.kt
+143
View File
@@ -0,0 +1,143 @@
/*
* Look4Sat. Amateur radio satellite tracker and pass predictor.
* Copyright (C) 2019-2026 Arty Bishop and contributors.
*
* This program is free software: you can redistribute it and/or modify
* it under the terms of the GNU General Public License as published by
* the Free Software Foundation, either version 3 of the License, or
* (at your option) any later version.
*
* This program is distributed in the hope that it will be useful,
* but WITHOUT ANY WARRANTY; without even the implied warranty of
* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
* GNU General Public License for more details.
*
* You should have received a copy of the GNU General Public License
* along with this program. If not, see <https://www.gnu.org/licenses/>.
*/
package com.rtbishop.look4sat.core.domain.navigation
/**
* Single source of truth for the navigation menu layout.
*
* The bottom bar holds at most [MAIN_SLOTS] pages; the rest live behind the More
* button. Both the bar and the settings editor resolve through here, so the list
* the user edits is exactly the list they get.
*
* Lives in `core:domain` (pure Kotlin) so it is unit-testable and KMP-ready.
*/
object MenuLayout {
/** Bottom-bar capacity, including the Settings entry. */
const val MAIN_SLOTS = 5
/** Must stay reachable from some menu, so the user cannot lock themselves out. */
const val SETTINGS_ID = "Settings"
/** Bar contents for a fresh install. */
val defaultMainOrder = listOf("Satellites", "Passes", "Radar", "Map", SETTINGS_ID)
/** More-menu contents for a fresh install. */
val defaultMoreOrder = listOf("Mutual", "Roaming", "CwDecode", "WavelogLog", "AMSAT")
/** What the bar and the More menu actually show. */
data class Layout(val mainIds: List<String>, val moreIds: List<String>)
/** A menu assignment ready to be persisted to settings. */
data class Assignment(val screenOrder: List<String>, val subMenuOrder: List<String>)
/**
* Map persisted preferences onto the two menus.
*
* A page named by neither persisted list is new to this install and follows
* the defaults, so upgrades never lose pages. Visible pages that overflow
* [MAIN_SLOTS] fall through to the More menu instead of disappearing, and
* [SETTINGS_ID] always survives the slot cut.
*/
fun resolve(
allScreenIds: List<String>,
screenOrder: List<String>,
subMenuOrder: List<String>,
hiddenScreenIds: List<String>
): Layout {
val visible = allScreenIds.filter { it !in hiddenScreenIds || it == SETTINGS_ID }
val wantMain = ArrayList<String>()
val wantMore = ArrayList<String>()
for (id in visible) {
when {
id in screenOrder -> wantMain.add(id)
id in subMenuOrder -> wantMore.add(id)
id in defaultMainOrder -> wantMain.add(id)
else -> wantMore.add(id)
}
}
wantMain.sortBy { rank(it, screenOrder, defaultMainOrder) }
wantMore.sortBy { rank(it, subMenuOrder, defaultMoreOrder) }
// Reserve the Settings slot before cutting so it cannot be truncated away.
val settingsOnBar = SETTINGS_ID in wantMain
val budget = if (settingsOnBar) MAIN_SLOTS - 1 else MAIN_SLOTS
val main = ArrayList<String>(MAIN_SLOTS)
for (id in wantMain) {
if (id == SETTINGS_ID) continue
if (main.size == budget) break
main.add(id)
}
if (settingsOnBar) main.add(SETTINGS_ID)
val overflow = wantMain.filter { it !in main }
return Layout(mainIds = main, moreIds = overflow + wantMore)
}
/** Move [screenId] onto the bar, evicting the last movable page when full. */
fun moveToMain(
screenId: String,
allScreenIds: List<String>,
screenOrder: List<String>,
subMenuOrder: List<String>
): Assignment {
val current = resolve(allScreenIds, screenOrder, subMenuOrder, emptyList())
val main = current.mainIds.toMutableList()
val more = current.moreIds.toMutableList()
val wasInMore = screenId in more
more.remove(screenId)
if (screenId !in main) {
val at = main.indexOf(SETTINGS_ID).let { if (it == -1) main.size else it }
main.add(at, screenId)
}
// Only evict when we actually added a new page from More; internal reordering must not evict.
if (wasInMore) {
val movable = main.filter { it != SETTINGS_ID && it != screenId }
if (main.size > MAIN_SLOTS && movable.isNotEmpty()) {
val evicted = movable.last()
main.remove(evicted)
more.add(0, evicted)
}
}
return Assignment(screenOrder = main, subMenuOrder = more)
}
/** Move [screenId] off the bar; Settings is refused so it stays reachable. */
fun moveToMore(
screenId: String,
allScreenIds: List<String>,
screenOrder: List<String>,
subMenuOrder: List<String>
): Assignment {
if (screenId == SETTINGS_ID) return Assignment(screenOrder, subMenuOrder)
val current = resolve(allScreenIds, screenOrder, subMenuOrder, emptyList())
val more = current.moreIds.toMutableList()
if (screenId !in more) more.add(screenId)
return Assignment(
screenOrder = current.mainIds.filter { it != screenId },
subMenuOrder = more
)
}
private fun rank(id: String, persisted: List<String>, fallback: List<String>): Int {
val persistedIndex = persisted.indexOf(id)
if (persistedIndex != -1) return persistedIndex
val fallbackIndex = fallback.indexOf(id)
return if (fallbackIndex != -1) fallbackIndex else Int.MAX_VALUE
}
}
core/domain/src/main/java/com/rtbishop/look4sat/core/domain/predict/CelestialComputer.kt
+6 -2
View File
@@ -424,8 +424,12 @@ object CelestialComputer {
}
if (sunrise == 0.0) sunrise = daynum
// Phase 4: fast-forward through the day until sun drops back below threshold
daynum = sunrise
// Phase 4: fast-forward through the day until sun drops back below threshold.
// Start from just after sunrise (small offset) so the sun is clearly above
// the threshold. This prevents a bug where Phase 3 converges to a point
// slightly below -threshold, causing Phase 4 to skip and Phase 5 to converge
// to the same time as sunrise, producing identical sunrise/sunset times.
daynum = sunrise + 0.001
sunPos = getSunPosition(observer, daynumToMillis(daynum))
guard = 0
while (sunPos.elevation > -threshold && guard++ < 500) {
core/domain/src/main/java/com/rtbishop/look4sat/core/domain/qrz/QrzGridClient.kt
+71
View File
@@ -0,0 +1,71 @@
/* QrzGridClient.kt - QRZ callsign grid scraper (4.5.5, pure JVM in domain).
* How it works (verified): GET https://www.qrz.com/db/{callsign} with the user's QRZ login Cookie,
* the Detail table on the page holds <td class="dh">Grid Square</td><td class="di">XXX</td>.
* Without cookies the Detail is unavailable (confirmed); if the other station has no grid, the row is absent (null).
* The Cookie is pasted by the user in settings (EditThisCookie JSON export or a raw cookie string),
* never built into the app.
*/
package com.rtbishop.look4sat.core.domain.qrz
import kotlinx.coroutines.Dispatchers
import kotlinx.coroutines.withContext
import java.net.URL
object QrzGridClient {
/** Parse the pasted Cookie (both formats): EditThisCookie JSON array or raw "k=v; k=v" string */
fun parseCookies(raw: String): String {
val text = raw.trim()
if (text.isEmpty()) return ""
// JSON array format: [{"name":"qz_userid","value":"1266043",...}, ...]
if (text.startsWith("[")) {
return try {
val arr = org.json.JSONArray(text)
val parts = mutableListOf<String>()
for (i in 0 until arr.length()) {
val o = arr.getJSONObject(i)
val name = o.optString("name")
val value = o.optString("value")
if (name.isNotBlank()) parts.add("$name=$value")
}
parts.joinToString("; ")
} catch (_: Exception) { text }
}
return text
}
/** Detect the callsign logged in with these cookies (fetch db home, extract the account menu callsign). Null on failure */
suspend fun fetchOwnCallsign(cookieHeader: String): String? = withContext(Dispatchers.IO) {
if (cookieHeader.isBlank()) return@withContext null
try {
val url = URL("https://www.qrz.com/db/")
val conn = url.openConnection()
conn.connectTimeout = 10_000
conn.readTimeout = 20_000
conn.setRequestProperty("User-Agent", "Mozilla/5.0 (Linux; Android 13) Look4Sat-Pro")
conn.setRequestProperty("Cookie", cookieHeader)
val html = conn.getInputStream().bufferedReader().use { it.readText() }
// Logged-in account menu (verified): <li class="leaf last" onclick="return true">BG7NTA <ul class="sub">
val pattern = Regex("<li class=\"leaf last\"[^>]*>\\s*([A-Z0-9/]+)\\s*<ul")
pattern.find(html)?.groupValues?.get(1)?.trim()
} catch (_: Exception) { null }
}
/** Look up a callsign's grid. Null = not set / not found (silent, does not block logging) */
suspend fun lookupGrid(callsign: String, cookieHeader: String): String? = withContext(Dispatchers.IO) {
if (callsign.isBlank() || cookieHeader.isBlank()) return@withContext null
try {
val url = URL("https://www.qrz.com/db/${callsign.trim().uppercase()}")
val conn = url.openConnection()
conn.connectTimeout = 10_000
conn.readTimeout = 20_000
conn.setRequestProperty("User-Agent", "Mozilla/5.0 (Linux; Android 13) Look4Sat-Pro")
conn.setRequestProperty("Cookie", cookieHeader)
val html = conn.getInputStream().bufferedReader().use { it.readText() }
// Detail table Grid Square row (verified format)
val m = Regex("""<td class="dh">Grid Square</td><td class="di">([^<]+)</td>""")
.find(html)
m?.groupValues?.get(1)?.trim()?.takeIf { it.isNotBlank() }
} catch (_: Exception) { null }
}
}
core/domain/src/main/java/com/rtbishop/look4sat/core/domain/repository/IAmSatRepository.kt
+2 -2
View File
@@ -2,8 +2,8 @@ package com.rtbishop.look4sat.core.domain.repository
import com.rtbishop.look4sat.core.domain.model.SatStatusPage
/** AMSAT 卫星状态数据源 */
/** AMSAT satellite status data source */
interface IAmSatRepository {
/** 抓取并解析 AMSAT 状态页; 失败返回 null */
/** Fetch and parse the AMSAT status page; null on failure */
suspend fun fetchStatus(): SatStatusPage?
}
core/domain/src/main/java/com/rtbishop/look4sat/core/domain/repository/IMainContainer.kt
+5 -1
View File
@@ -35,6 +35,7 @@ interface IMainContainer {
val mutualPassData: StateFlow<MutualPassData>
fun setMutualPassData(data: MutualPassData)
fun provideAddToCalendar(): IAddToCalendar
fun providePairedBluetoothDevices(): List<Pair<String, String>>
fun provideShowToast(): IShowToast
fun provideBluetoothReporter(): IReporter
fun provideNetworkReporter(): IReporter
@@ -42,10 +43,13 @@ interface IMainContainer {
fun provideTxRadioController(): IRadioController
fun provideRxRadioController(): IRadioController
fun provideAudioCapture(): IAudioCapture
fun provideCwDecoder(): com.rtbishop.look4sat.core.domain.cw.ICwDecoder
fun provideSaveImage(): ISaveImage
// WaveLog 日志(4.5.2)
// WaveLog logging (4.5.2)
val wavelogQueue: com.rtbishop.look4sat.core.domain.wavelog.WavelogQueue
fun provideWavelogUploader(): com.rtbishop.look4sat.core.domain.wavelog.WavelogUploader
fun provideLotwSatellitesRepo(): com.rtbishop.look4sat.core.domain.wavelog.ILotwSatellitesRepo
}
data class MutualPassData(
core/domain/src/main/java/com/rtbishop/look4sat/core/domain/repository/ISelectionRepo.kt
+3 -3
View File
@@ -21,10 +21,10 @@ import com.rtbishop.look4sat.core.domain.model.SatItem
import kotlinx.coroutines.flow.Flow
interface ISelectionRepo {
fun getCurrentTypes(): List<String>
fun getTypesList(): List<String>
fun getCurrentModes(): List<String>
fun getModesList(): List<String>
suspend fun getEntriesFlow(): Flow<List<SatItem>>
suspend fun setTypes(types: List<String>)
suspend fun setModes(modes: List<String>)
suspend fun setQuery(query: String)
suspend fun setSelection(selectAll: Boolean)
suspend fun setSelection(ids: List<Int>, isTicked: Boolean)
core/domain/src/main/java/com/rtbishop/look4sat/core/domain/repository/ISettingsRepo.kt
+8 -3
View File
@@ -32,9 +32,9 @@ interface ISettingsRepo {
//region # Satellites selection settings
val selectedIds: StateFlow<List<Int>>
val selectedTypes: StateFlow<List<String>>
val selectedSatModes: StateFlow<List<String>>
fun setSelectedIds(ids: List<Int>)
fun setSelectedTypes(types: List<String>)
fun setSelectedSatModes(modes: List<String>)
//endregion
//region # Passes filter settings
@@ -45,7 +45,7 @@ interface ISettingsRepo {
//region # Station position settings
val stationPosition: StateFlow<GeoPos>
fun setStationPosition(latitude: Double, longitude: Double, altitude: Double): Boolean
/** GPS 定位(挂起): 拿到位置才返回 true; 权限缺失/超时/无信号返回 false */
/** GPS fix (suspend): true only with a fix; false on missing permission/timeout/no signal */
suspend fun setStationPosition(): Boolean
fun setStationPosition(locator: String): Boolean
//endregion
@@ -78,4 +78,9 @@ interface ISettingsRepo {
val radioControlSettings: StateFlow<RadioControlSettings>
fun updateRadioControlSettings(settings: RadioControlSettings)
//endregion
//region # Per-satellite calculator offset settings
fun getSatelliteOffset(catnum: Int): String
fun setSatelliteOffset(catnum: Int, offset: String)
//endregion
}
core/domain/src/main/java/com/rtbishop/look4sat/core/domain/source/IRemoteSource.kt
+10 -2
View File
@@ -23,6 +23,14 @@ interface IRemoteSource {
suspend fun getFileStream(uri: String): InputStream?
suspend fun getNetworkStream(url: String): InputStream?
/** 抓取 AMSAT 状态页 HTML(带 UA, 返回 null = 失败) */
suspend fun getStatusHtml(): String?
/** Fetch AMSAT API catalog (JSON string; null on failure) */
suspend fun getAmSatCatalog(): String?
/** Fetch AMSAT API reports for the past N hours (JSON string; null on failure) */
suspend fun getAmSatReports(hours: Int, limit: Int): String?
/** Fetch AMSAT API summary for the past N hours (JSON string; null on failure).
* Used to compare against the global reports response and flag satellites whose data
* was crowded out of the 500-record cap. */
suspend fun getAmSatSummary(hours: Int): String?
}
core/domain/src/main/java/com/rtbishop/look4sat/core/domain/source/Sources.kt
+10 -1
View File
@@ -18,7 +18,7 @@
package com.rtbishop.look4sat.core.domain.source
object Sources {
// 在线更新的默认 URL(用户可通过"自定义URL"对话框修改/重置)
// Default URL for online updates (user can change/reset it via the "Custom URL" dialog)
val defaultTleUrl = "https://celestrak.org/NORAD/elements/gp.php?GROUP=active&FORMAT=csv"
val defaultTransceiversUrl = "https://db.satnogs.org/api/transmitters/?format=json&status=active"
@@ -52,6 +52,15 @@ object Sources {
"R4UAB" to "https://r4uab.ru/satonline.txt",
"Other" to "" // key for sats filter
)
val satelliteModes = listOf(
"4FSK", "64-QAM", "AFSK", "AFSK TUBiX10", "AHRPT", "AM", "APT", "ASK", "BPSK",
"BPSK PMT-A3", "CERTO", "CW", "DATV", "DBPSK", "DOKA", "DPSK", "DQPSK", "DSB", "DSTAR",
"DUV", "DVB-S2", "FFSK", "FM", "FMN", "FSK", "FSK AX.100 Mode 5", "FSK AX.100 Mode 6",
"FSK AX.25 G3RUH", "FT8", "GENESIS FSK", "GFSK", "GFSK Pkst", "GFSK Rktr", "GFSK/BPSK",
"GMSK", "GMSK USP", "HRPT", "LoRa", "LRPT", "LSB", "MFSK", "MSK", "MSK AX.100 Mode 5",
"MSK AX.100 Mode 6", "OFDM", "OQPSK", "PPM", "PSK", "PSK31", "PSK63", "QPSK", "QPSK31",
"QPSK63", "SIDLOC", "SQPSK", "SSDV", "SSTV", "UNKNOWN", "USB", "WSJT"
)
val transceiversDataUrls = mapOf(
"SatNOGS" to "https://db.satnogs.org/api/transmitters/?format=json&status=active"
)
core/domain/src/main/java/com/rtbishop/look4sat/core/domain/usecase/IShowToast.kt
+1 -1
View File
@@ -20,6 +20,6 @@ package com.rtbishop.look4sat.core.domain.usecase
interface IShowToast {
operator fun invoke(message: String)
/** 按资源 ID 显示(四语文案) */
/** Show by resource ID (four-language text) */
operator fun invoke(resId: Int)
}
core/domain/src/main/java/com/rtbishop/look4sat/core/domain/utility/DataParser.kt
+8 -3
View File
@@ -70,8 +70,13 @@ class DataParser(private val dispatcher: CoroutineDispatcher) {
val min = timestamp.substring(14, 16).toInt() * 60000
val sec = timestamp.substring(17, 19).toInt() * 1000
val ms = timestamp.substring(20, 26).toInt() / 1000.0
val frac = ((hour + min + sec + ms) / 86400000.0).toString().substring(1)
val epoch = "${year.substring(2)}$day$frac".toDouble()
// Add the day fraction numerically. Building it by string surgery breaks
// below 1e-3, where Double.toString() switches to scientific notation and
// dropping the first character removes a significant digit instead of the
// leading zero: 00:01:00 yielded "25001.944444444444445E-4" -> 2.50019,
// a silently valid epoch about 26 years off.
val dayFraction = (hour + min + sec + ms) / 86400000.0
val epoch = "${year.substring(2)}$day".toDouble() + dayFraction
OrbitalData(
name = name,
epoch = epoch,
@@ -91,7 +96,7 @@ class DataParser(private val dispatcher: CoroutineDispatcher) {
val line1 = tle[1]
val line2 = tle[2]
OrbitalData(
name = tle[0].trim(),
name = tle[0].trim().removePrefix("0 "),
epoch = line1.substring(18, 32).toDouble(),
meanmo = line2.substring(52, 63).toDouble(),
eccn = line2.substring(26, 33).toDouble() / 1e7,
core/domain/src/main/java/com/rtbishop/look4sat/core/domain/utility/DopplerFrequencyCalculator.kt
+21 -2
View File
@@ -114,11 +114,30 @@ object DopplerFrequencyCalculator {
val modes = listOfNotNull(transponder.downlinkMode, transponder.uplinkMode)
.joinToString(separator = " ")
.lowercase(Locale.ENGLISH)
val hasLinearName = info.contains("linear")
val hasLinearName = info.contains("linear") || info.contains(" lin") || info.startsWith("lin")
val hasTransponderName = info.contains("transponder") || info.contains("transp") ||
info.contains("xponder") || info.contains("xpdr")
val hasLinearMode = listOf("ssb", "usb", "lsb", "cw").any { modes.contains(it) }
return (hasLinearName && hasTransponderName) || (hasTransponderName && hasLinearMode)
return (hasLinearName && hasTransponderName) || (hasTransponderName && hasLinearMode) ||
(hasLinearName && hasLinearMode)
}
/**
* Removes duplicate transponder entries that describe the same physical
* transponder with different mode labels (e.g. SatNOGS lists AO-7's Mode A
* as both "Lin SSB" and "Lin CW", and JO-97's U/V transponder as both
* "CW Transponder" and "SSB Transponder").
*
* Entries sharing the same uplink/downlink frequency range are considered
* the same transponder. The non-CW entry is preferred because its invert
* flag is more reliable (e.g. JO-97's CW entry wrongly has invert=false).
*/
fun deduplicateTransponders(radios: List<SatRadio>): List<SatRadio> {
return radios.groupBy { radio ->
listOf(radio.uplinkLow, radio.uplinkHigh, radio.downlinkLow, radio.downlinkHigh)
}.values.map { group ->
group.firstOrNull { it.downlinkMode?.equals("CW", ignoreCase = true) != true } ?: group.first()
}
}
}
core/domain/src/main/java/com/rtbishop/look4sat/core/domain/utility/Extensions.kt
+15
View File
@@ -41,6 +41,21 @@ fun Double.round(decimals: Int): Double {
return kotlin.math.round(this * multiplier) / multiplier
}
fun String.aprsPasscode(): Int {
val callsign = this.trim().uppercase().substringBefore('-') // commonly strip SSID
var hash = 0x73E2
var i = 0
while (i < callsign.length) {
hash = hash xor (callsign[i].code shl 8)
i++
if (i < callsign.length) {
hash = hash xor callsign[i].code
i++
}
}
return hash and 0x7FFF
}
//fun String.getHash(type: String = "SHA-256"): String {
// val hexChars = "0123456789ABCDEF"
// val bytes = MessageDigest.getInstance(type).digest(this.toByteArray())
core/domain/src/main/java/com/rtbishop/look4sat/core/domain/utility/GeoConverter.kt
+11 -2
View File
@@ -81,9 +81,18 @@ fun clipLat(latitude: Double): Double {
}
fun clipLon(longitude: Double): Double {
// Reduce with a modulo so a single pass always terminates. The previous
// while-loop never returned for extreme inputs: Infinity stays Infinity
// after subtracting 360, so the loop ran forever, and a ~1e12 degree value
// took billions of iterations. NaN still passes through to clip() and is
// returned as NaN, which is the same behaviour as before.
if (!longitude.isFinite()) return longitude
var result = longitude
while (result < MIN_LONGITUDE) result += 360.0
while (result > MAX_LONGITUDE) result -= 360.0
result = ((result + 180.0) % 360.0 + 360.0) % 360.0 - 180.0
// The closed interval [-180, 180] keeps +180 for a value that lands exactly
// on the positive boundary (old loop: 180 stays 180, only > 180 wraps);
// -180 is reserved for values that actually came from the west side.
if (result == -180.0 && longitude > 0.0) result = 180.0
return clip(result, MIN_LONGITUDE, MAX_LONGITUDE)
}
core/domain/src/main/java/com/rtbishop/look4sat/core/domain/utility/QthConverter.kt
+13 -5
View File
@@ -74,8 +74,14 @@ fun qthToPosition(locator: String): GeoPos? {
*/
fun positionToQth(latitude: Double, longitude: Double, precision: Int = 8): String? {
if (!isValidPosition(latitude, longitude)) return null
val newLongitude = longitude + 180
val newLatitude = latitude + 90
// The grid spans [0, 360) lon and [0, 180) lat once shifted. Clamping the
// field index alone (coerceIn below) is not enough: at exactly +90 lat or
// +180 lon the field saturates to R while the square/subsquare terms come
// from a modulo that has already wrapped to 0, so the encoded locator
// decoded back 10 degrees of latitude / 20 degrees of longitude away.
// Nudge the upper bound into the last cell instead.
val newLongitude = (longitude + 180).coerceIn(0.0, 360.0 - 1e-9)
val newLatitude = (latitude + 90).coerceIn(0.0, 180.0 - 1e-9)
val lonFirst = (65 + (newLongitude / 20).toInt().coerceIn(0, 17)).toChar()
val latFirst = (65 + (newLatitude / 10).toInt().coerceIn(0, 17)).toChar()
val lonSecond = ((newLongitude % 20) / 2).toInt()
@@ -94,11 +100,13 @@ fun positionToQth(latitude: Double, longitude: Double, precision: Int = 8): Stri
}
private fun isValidPosition(lat: Double, lon: Double): Boolean {
return (lat >= -90.0 && lat <= 90.0) && (lon >= -180.0 && lon <= 360.0)
return lat in -90.0..90.0 && lon in -180.0..180.0
}
private fun isValidLocator(locator: String): Boolean {
return locator.matches("[a-xA-X]{2}\\d{2}[a-xA-X]{2}(?:\\d{2}(?:[a-xA-X]{2})?)?".toRegex())
// Maidenhead fields are A-R (18 x 18). Subsquare letters are A-X (24).
// Accepting S-X in the first pair decodes to latitude >90 / longitude >180.
return locator.matches("[a-rA-R]{2}\\d{2}[a-xA-X]{2}(?:\\d{2}(?:[a-xA-X]{2})?)?".toRegex())
}
/**
@@ -118,7 +126,7 @@ fun qthToSquare(locator: String): String {
* Builds the 3x3 grid of 4-char squares surrounding [square] (e.g. "OL42").
* Row 0 = north (lat +1), col 0 = west (lon -1). Handles field/square carry
* at boundaries (e.g. "AA00" wraps to "RR99" at the south-west corner).
* Mirrors the neighbor logic decompiled from the QTH定位器 app.
* Mirrors the neighbor logic decompiled from the QTH Locator app.
*/
fun qthNeighbors(square: String): List<String> {
if (square.length != 4) return emptyList()
core/domain/src/main/java/com/rtbishop/look4sat/core/domain/wavelog/ILotwSatellitesRepo.kt
+15
View File
@@ -0,0 +1,15 @@
/* ILotwSatellitesRepo.kt - LoTW satellite list refresh interface (domain layer, 4.5.5).
* Impl: LotwSatellitesRepo in core/data (downloads ARRL config.tq6).
*/
package com.rtbishop.look4sat.core.domain.wavelog
interface ILotwSatellitesRepo {
sealed class RefreshResult {
data class Ok(val count: Int) : RefreshResult()
data class Error(val message: String) : RefreshResult()
}
fun restore()
suspend fun refresh(): RefreshResult
}
core/domain/src/main/java/com/rtbishop/look4sat/core/domain/wavelog/LotwSatellites.kt
+22
View File
@@ -0,0 +1,22 @@
/* LotwSatellites.kt - LoTW-supported satellite name list (112, statically embedded).
* Source: https://lotw.arrl.org/lotw/config.tq6 (gzip XML, official ARRL!)
* WaveLog updates its satellite table's lotw field from the same source (Update_model.php lotw_sats()).
* At runtime LotwSatellitesRepo can refresh it manually (settings WaveLog section button).
*/
package com.rtbishop.look4sat.core.domain.wavelog
object LotwSatellites {
private val staticNames: Set<String> = setOf("AISAT1", "AO-10", "AO-109", "AO-123", "AO-13", "AO-16", "AO-21", "AO-27", "AO-3", "AO-4", "AO-40", "AO-51", "AO-6", "AO-7", "AO-73", "AO-8", "AO-85", "AO-91", "AO-92", "ARISS", "Arsene", "BO-102", "BY70-1", "CAS-2T", "CAS-3H", "CAS-4A", "CAS-4B", "DO-64", "EO-79", "EO-88", "FO-118", "FO-12", "FO-20", "FO-29", "FO-99", "FS-3", "HO-107", "HO-113", "HO-119", "HO-68", "INSPR7", "IO-117", "IO-86", "JO-97", "KEDR", "LEDSAT", "LO-19", "LO-78", "LO-87", "LO-90", "MAYA-3", "MAYA-4", "MIREX", "MO-112", "MO-122", "NO-103", "NO-104", "NO-44", "NO-83", "NO-84", "PO-101", "QO-100", "RS-1", "RS-10", "RS-11", "RS-12", "RS-13", "RS-15", "RS-2", "RS-44", "RS-5", "RS-6", "RS-7", "RS-8", "SAREX", "SO-121", "SO-124", "SO-125", "SO-35", "SO-41", "SO-50", "SO-67", "SONATE", "TAURUS", "TEVEL1", "TEVEL2", "TEVEL3", "TEVEL4", "TEVEL5", "TEVEL6", "TEVEL7", "TEVEL8", "TO-108", "UKUBE1", "UO-14", "UVSQ", "VO-52", "XW-2A", "XW-2B", "XW-2C", "XW-2D", "XW-2E", "XW-2F", "TEV2-1", "TEV2-2", "TEV2-3", "TEV2-4", "TEV2-5", "TEV2-6", "TEV2-7", "TEV2-8", "TEV2-9")
@Volatile
private var dynamicNames: Set<String> = emptySet()
/** Effective satellite names: static embedded set union runtime updates */
val names: Set<String>
get() = if (dynamicNames.isEmpty()) staticNames else staticNames + dynamicNames
/** Runtime update (settings button -> called after LotwSatellitesRepo.refresh()) */
fun updateNames(newNames: Set<String>) {
if (newNames.isNotEmpty()) dynamicNames = newNames
}
}
core/domain/src/main/java/com/rtbishop/look4sat/core/domain/wavelog/WaveLogApi.kt
+100 -34
View File
@@ -1,12 +1,12 @@
/*
* WaveLogApi.kt — WaveLog 日志服务器 API 客户端(4.5.2 覆盖修复 2)。
* WaveLogApi.kt - WaveLog log server API client (4.5.2 override fix 2).
*
* 同时支持 v1 与 v2(用户服务器实测只有 v1, v2 返回 404):
* v2: POST {base}/api/v2/qso (Authorization: Bearer + JSON 字段)
* v1: POST {base}/index.php/api/qso (key 在 JSON body + ADIF 字符串)
* 策略: 优先 v2, 404 自动降级 v1。
* 测试连接: v2 GET api/v2/token → 404 时 v1 POST api/get_contacts_adif。
* 站点网格: 仅 v2 有 GET api/v2/station/{id}; v1 无此端点 → 降级用用户 QTH。
* Supports both v1 and v2 (user's server only has v1 in practice; v2 returns 404):
* v2: POST {base}/api/v2/qso (Authorization: Bearer + JSON fields)
* v1: POST {base}/index.php/api/qso (key in JSON body + ADIF string)
* Strategy: try v2 first, auto-fallback to v1 on 404.
* Test connection: v2 GET api/v2/token; on 404 use v1 POST api/get_contacts_adif.
* Station grid: only v2 has GET api/v2/station/{id}; v1 lacks it -> fall back to user QTH.
*/
package com.rtbishop.look4sat.core.domain.wavelog
@@ -20,7 +20,7 @@ import java.net.HttpURLConnection
import java.net.URL
import java.util.Locale
/** 站点信息(GET /api/v2/station/{id} 结果) */
/** Station info (GET /api/v2/station/{id} result) */
data class WavelogStation(
val id: Int,
val name: String,
@@ -37,7 +37,7 @@ object WaveLogApi {
private const val TIMEOUT_MS = 15000
/** 规范化服务器地址: 去尾斜杠/去尾部 index.php; 无协议前缀时补 https:// */
/** Normalize server URL: strip trailing slash/index.php; prepend https:// when missing */
fun normalizeUrl(raw: String): String {
var u = raw.trim().trimEnd('/')
if (u.isBlank()) return ""
@@ -46,7 +46,7 @@ object WaveLogApi {
return u
}
/** 测试连接: v2 GET api/v2/token → 404 时 v1 POST api/get_contacts_adif */
/** Test connection: v2 GET api/v2/token; on 404 use v1 POST api/get_contacts_adif */
suspend fun testToken(url: String, apiKey: String, stationId: String = ""): WavelogResult = withContext(Dispatchers.IO) {
val base = normalizeUrl(url)
if (base.isBlank()) return@withContext WavelogResult.Failure("服务器地址为空")
@@ -55,7 +55,7 @@ object WaveLogApi {
val v2 = httpRequest("$base/index.php/api/v2/token", "GET", apiKey, null)
if (v2.first in 200..299) return@withContext WavelogResult.Success("连接成功 (API v2)")
// v1: POST /index.php/api/get_contacts_adif(key 在 body)
// v1: POST /index.php/api/get_contacts_adif (key in body)
if (stationId.isNotBlank()) {
val body = JSONObject().apply {
put("key", apiKey)
@@ -66,7 +66,7 @@ object WaveLogApi {
if (v1.first in 200..299) return@withContext WavelogResult.Success("连接成功 (API v1)")
if (v1.first == 401) return@withContext WavelogResult.Failure("API 密钥无效 (v1: 401)")
}
// 无 index.php 的 v1 尝试
// v1 attempt without index.php
val body = JSONObject().apply {
put("key", apiKey)
put("station_id", stationId)
@@ -79,7 +79,7 @@ object WaveLogApi {
WavelogResult.Failure("连接失败: v2 HTTP ${v2.first}, v1 HTTP ${v1b.first} — 请确认服务器地址/密钥正确")
}
/** 站点信息: 仅 v2; v1 无此端点返回 null 标记(网格检测降级用用户 QTH) */
/** Station info: v2 only; v1 lacks the endpoint (grid check falls back to user QTH) */
suspend fun getStation(url: String, apiKey: String, stationId: String): WavelogResult = withContext(Dispatchers.IO) {
val base = normalizeUrl(url)
if (base.isBlank()) return@withContext WavelogResult.Failure("服务器地址为空")
@@ -102,24 +102,78 @@ object WaveLogApi {
WavelogResult.Failure("解析失败: ${e.message}")
}
}
// v1 无 station 端点 → 返回 Success 空(调用方降级用用户 QTH)
// v1 has no station endpoint -> return empty Success (caller falls back to user QTH)
WavelogResult.Success("")
}
/** LoTW 认可的卫星名: 取括号前主名 + 大写(ISS 特判) */
/**
* ADIF band code from a frequency in Hz. "SAT" is NOT a legal ADIF band
* value (the Band enumeration is 160M/80M/.../2M/70CM/23CM...); a logger
* that fails to parse an illegal band falls back to a default such as
* 160m. Satellite QSOs must carry the real band of the TX frequency.
*/
fun bandFromHz(freqHz: Long): String = when {
freqHz >= 1240_000_000 -> "23CM"
freqHz >= 902_000_000 -> "33CM"
freqHz >= 420_000_000 -> "70CM"
freqHz >= 222_000_000 -> "1.25M"
freqHz >= 144_000_000 -> "2M"
freqHz >= 50_000_000 -> "6M"
freqHz >= 28_000_000 -> "10M"
freqHz >= 24_890_000 -> "12M"
freqHz >= 21_000_000 -> "15M"
freqHz >= 18_068_000 -> "17M"
freqHz >= 14_000_000 -> "20M"
freqHz >= 10_000_000 -> "30M"
freqHz >= 7_000_000 -> "40M"
freqHz >= 5_102_000 -> "60M"
freqHz >= 3_500_000 -> "80M"
freqHz >= 1_800_000 -> "160M"
else -> "160M"
}
/** Band class letter for satellite mode derivation: VHF=V, UHF=U, SHF=S. */
private fun bandLetter(freqHz: Long): String = when {
freqHz >= 1_240_000_000 -> "S"
freqHz >= 420_000_000 -> "U"
freqHz >= 144_000_000 -> "V"
else -> "V"
}
/**
* ADIF SAT_MODE (free text, satellite convention): "V/U" = VHF up /
* UHF down, "U/V", "V/S", "U/S"... Derived from the actual TX/RX bands.
*/
fun satModeFrom(txFreqHz: Long, rxFreqHz: Long): String {
if (rxFreqHz <= 0) return ""
val up = bandLetter(txFreqHz)
val down = bandLetter(rxFreqHz)
return if (up == down) "" else "$up/$down"
}
/** LoTW-recognized satellite name: main name before parentheses, uppercased (ISS special case) */
fun normalizeSatName(raw: String): String {
val main = raw.substringBefore('(').trim()
.ifBlank { raw.trim() }
.uppercase(Locale.ENGLISH)
// ISS 特判: 主名是 ISS/ZARYA/ARISS 变体 → ISS(LoTW 认可名)
return when {
main == "ZARYA" || main.startsWith("ISS") -> "ISS"
main == "ARISS" -> "ISS"
else -> main
}
// Matching logic (mirrors WaveLog satellite table name/displayname matching + LoTW list):
// 1. Already in LoTW list (common TLE name == common name) -> return as-is
// 2. Not present -> check Celestrak alias map (SAUDISAT 1C -> SO-50 etc.); mapped name must be in LoTW list
// 3. Still unmatched -> return as-is (uploads are not blocked; QSO is still saved)
val commonName = mapOf(
"ZARYA" to "ARISS",
"ARISS" to "ARISS",
"FUNCUBE-1" to "AO-73",
"DIWATA-2B" to "PO-101",
"SAUDISAT-1C" to "SO-50",
"SAUDISAT 1C" to "SO-50",
"DIWATA-2A" to "PO-101"
)
val candidate = commonName[main] ?: main
return if (candidate in LotwSatellites.names) candidate else main
}
/** 创建 QSO: 优先 v2, 404 降级 v1(ADIF) */
/** Create QSO: v2 first, fall back to v1 (ADIF) on 404 */
suspend fun postQso(
url: String,
apiKey: String,
@@ -132,24 +186,28 @@ object WaveLogApi {
val satName = normalizeSatName(qso.satName)
// v2: POST /index.php/api/v2/qso(JSON 字段)
// v2: POST /index.php/api/v2/qso (JSON fields)
val satMode = satModeFrom(qso.freqTxHz, qso.freqRxHz)
val v2Body = JSONObject().apply {
put("station_profile_id", stationProfileId.toIntOrNull() ?: 0)
put("call", qso.call)
put("band", "SAT")
put("band", bandFromHz(qso.freqTxHz))
put("mode", qso.mode)
put("qso_date", utcDate(qso.timeUtcMs))
put("time_on", utcTime(qso.timeUtcMs))
put("freq", qso.freqTxHz)
put("freq_rx", qso.freqRxHz)
put("freq", String.format(Locale.ENGLISH, "%.6fM", qso.freqTxHz / 1_000_000.0))
put("freq_rx", String.format(Locale.ENGLISH, "%.6fM", qso.freqRxHz / 1_000_000.0))
put("gridsquare", gridsquare)
put("rst_sent", "59")
put("rst_rcvd", "59")
put("sat_name", satName)
if (satMode.isNotBlank()) put("sat_mode", satMode)
}
val (code, resp) = httpRequest("$base/index.php/api/v2/qso", "POST", apiKey, v2Body.toString())
if (code in 200..299) return@withContext WavelogResult.Success("已上传 (v2)")
if (code == 409) return@withContext WavelogResult.Success("重复(已存在)")
// v1: POST /index.php/api/qso(key 在 body + ADIF)
// v1: POST /index.php/api/qso (key in body + ADIF)
val v1Body = JSONObject().apply {
put("key", apiKey)
put("station_profile_id", stationProfileId)
@@ -159,22 +217,23 @@ object WaveLogApi {
val (code1, resp1) = httpRequest("$base/index.php/api/qso", "POST", apiKey, v1Body.toString())
if (code1 in 200..299) return@withContext WavelogResult.Success("已上传 (v1)")
// 无 index.php 的 v1
// v1 without index.php
val (code1b, resp1b) = httpRequest("$base/api/qso", "POST", apiKey, v1Body.toString())
if (code1b in 200..299) return@withContext WavelogResult.Success("已上传 (v1)")
WavelogResult.Failure("上传失败: v2 HTTP $code, v1 HTTP $code1 — ${shortError(resp1.ifBlank { resp1b })}")
}
/** v1 ADIF 字符串(频率 MHz, 长度=UTF-8 字节数, sat_name 已规范化) */
private fun toAdif(qso: WavelogQso, gridsquare: String, satName: String): String {
/** v1 ADIF string (freq in MHz, length = UTF-8 byte count, sat_name normalized) */
internal fun toAdif(qso: WavelogQso, gridsquare: String, satName: String): String {
fun field(name: String, value: String): String {
val bytes = value.toByteArray(Charsets.UTF_8).size
return "<$name:$bytes>$value"
}
val satMode = satModeFrom(qso.freqTxHz, qso.freqRxHz)
return buildString {
append(field("call", qso.call))
append(field("band", "SAT"))
append(field("band", bandFromHz(qso.freqTxHz)))
append(field("mode", qso.mode))
append(field("freq", String.format(Locale.ENGLISH, "%.6f", qso.freqTxHz / 1_000_000.0)))
if (qso.freqRxHz > 0) {
@@ -182,16 +241,23 @@ object WaveLogApi {
}
append(field("qso_date", utcDateCompact(qso.timeUtcMs)))
append(field("time_on", utcTimeCompact(qso.timeUtcMs)))
if (gridsquare.isNotBlank()) append(field("gridsquare", gridsquare.take(4)))
append(field("rst_sent", "59"))
append(field("rst_rcvd", "59"))
// Send the grid at full precision. Truncating to 4 characters threw
// away the 6-character locator the QRZ lookup provides, coarsening the
// stored position from ~4.6 km to ~100 km and making a QSO logged via
// v1 disagree with the same QSO logged via v2 (which sends it whole).
if (gridsquare.isNotBlank()) append(field("gridsquare", gridsquare))
if (satName.isNotBlank()) {
append(field("sat_name", satName))
if (satMode.isNotBlank()) append(field("sat_mode", satMode))
append(field("prop_mode", "SAT"))
}
append("<eor>")
}
}
/** 通用 HTTP 请求(返回 code + body) */
/** Generic HTTP request (returns code + body) */
private fun httpRequest(url: String, method: String, apiKey: String, jsonBody: String?): Pair<Int, String> {
return try {
val conn = URL(url).openConnection() as HttpURLConnection
@@ -217,7 +283,7 @@ object WaveLogApi {
}
private fun shortError(body: String): String {
if (body.startsWith("<")) return body.take(80) // HTML 错误页
if (body.startsWith("<")) return body.take(80) // HTML error page
return try {
val obj = JSONObject(body)
val err = obj.optJSONObject("error")
core/domain/src/main/java/com/rtbishop/look4sat/core/domain/wavelog/WavelogQueue.kt
+17 -8
View File
@@ -1,22 +1,22 @@
/*
* WavelogQueue.kt — WaveLog 本地日志队列(4.5.2)。
* WavelogQueue.kt - WaveLog local log queue (4.5.2).
*
* 纯 Kotlin(不依赖 Android): 存储走 IWavelogQueueStore 接口,
* 由 core/data 用 SharedPreferences 实现。
* 队列上限 500 条(超出丢最旧)。
* Pure Kotlin (no Android deps): storage goes through the IWavelogQueueStore interface,
* implemented with SharedPreferences in core/data.
* Queue capped at 500 entries (oldest dropped beyond that).
*/
package com.rtbishop.look4sat.core.domain.wavelog
import org.json.JSONArray
import org.json.JSONObject
/** 存储抽象(SharedPreferences 实现见 core/data) */
/** Storage abstraction (SharedPreferences impl lives in core/data) */
interface IWavelogQueueStore {
fun load(): String
fun save(json: String)
}
/** 待上传的 QSO 条目(本地队列元素,与 POST /api/v2/qso 字段对应) */
/** QSO entry awaiting upload (local queue element, mirrors POST /api/v2/qso fields) */
data class WavelogQso(
val id: String, // 本地唯一 id(UUID)
val timeUtcMs: Long, // 回车时刻 UTC 毫秒(本地显示 + 组装 qso_date/time_on)
@@ -26,6 +26,7 @@ data class WavelogQso(
val freqRxHz: Long, // 下行
val satName: String,
val sessionId: String = "", // 场次 ID: 卫星名-AOS 时间戳(过境仰角 0 秒), 空=未分组(旧数据)
val gridsquare: String = "", // 对方网格(QRZ 爬虫填入, 4.5.5), 空=未查到
val uploaded: Boolean = false // 是否已成功上传(4.5.2 修复: 成功后保留标记, 表格打勾)
)
@@ -48,6 +49,7 @@ class WavelogQueue(private val store: IWavelogQueueStore) {
freqRxHz = o.optLong("freqRxHz"),
satName = o.optString("satName"),
sessionId = o.optString("sessionId"),
gridsquare = o.optString("gridsquare"),
uploaded = o.optBoolean("uploaded", false)
)
}
@@ -72,13 +74,19 @@ class WavelogQueue(private val store: IWavelogQueueStore) {
save(all().filter { it.id !in ids })
}
/** 标记为已上传(保留在队列, 表格打勾) */
/** Mark as uploaded (kept in the queue; checkmark in the table) */
@Synchronized
fun markUploaded(id: String) {
save(all().map { if (it.id == id) it.copy(uploaded = true) else it })
}
/** 移除所有已上传条目(可选项, 保持队列精简) */
/** Update a QSO's counterpart grid (async backfill from the QRZ scraper, 4.5.5) */
@Synchronized
fun updateGridsquare(id: String, grid: String) {
save(all().map { if (it.id == id) it.copy(gridsquare = grid) else it })
}
/** Remove all uploaded entries (optional; keeps the queue lean) */
@Synchronized
fun removeUploaded() {
save(all().filter { !it.uploaded })
@@ -92,6 +100,7 @@ class WavelogQueue(private val store: IWavelogQueueStore) {
put("mode", q.mode); put("freqTxHz", q.freqTxHz)
put("freqRxHz", q.freqRxHz); put("satName", q.satName)
put("sessionId", q.sessionId)
put("gridsquare", q.gridsquare)
put("uploaded", q.uploaded)
})
}
core/domain/src/main/java/com/rtbishop/look4sat/core/domain/wavelog/WavelogUploader.kt
+13 -12
View File
@@ -1,10 +1,10 @@
/*
* WavelogUploader.kt — WaveLog 队列上传调度(4.5.2)。
* WavelogUploader.kt - WaveLog queue upload scheduler (4.5.2).
*
* 手动/周期上传共用: 逐条网格检测(用户 QTH 前 4 位 vs 台站网格前 4 位)
* → POST /api/v2/qso → 成功移出队列。
* 网格不一致: 返回 NeedConfirm(由 UI 弹窗「忽略并上传/取消」),
* 确认后带 force=true 重试本批。
* Manual/periodic uploads share: per-batch grid check (user QTH first 4 chars vs station grid first 4 chars)
* -> POST /api/v2/qso -> success removes from the queue.
* Grid mismatch: returns NeedConfirm (UI dialog "Ignore and upload / Cancel"),
* retrying the batch with force=true once confirmed.
*/
package com.rtbishop.look4sat.core.domain.wavelog
@@ -26,10 +26,10 @@ class WavelogUploader(
private val queue: WavelogQueue
) {
// 台站网格缓存(每次上传前刷新; 失败用旧值)
// Station grid cache (refreshed before each upload; stale value kept on failure)
private var cachedStationGrid: String? = null
/** 上传整个队列。force=true 跳过网格确认(用户已选「忽略并上传」) */
/** Upload the whole queue. force=true skips the grid confirm (user chose "Ignore and upload") */
suspend fun uploadQueue(force: Boolean = false): UploadOutcome {
val settings = settingsRepo.otherSettings.value
val url = settings.wavelogUrl
@@ -39,13 +39,14 @@ class WavelogUploader(
return UploadOutcome.Done(0, queue.all().size, "未配置 WaveLog 服务器")
}
// 1. 拉站点信息(拿台站网格); v1 无此端点时降级用用户 QTH
// 1. Fetch station info (station grid); fall back to user QTH when v1 lacks the endpoint
val stationGrid = getStationGrid(url, apiKey, stationId) ?: userQthGrid()
if (stationGrid.isNullOrBlank()) {
return UploadOutcome.Done(0, queue.all().size, "无法获取站点信息(检查站点 ID/密钥权限)")
}
// 2. 网格检测: 用户当前 QTH 前 4 位 vs 台站网格前 4 位(v1 降级时网格相同, 跳过)
// 2. Grid check: cloud station grid first 4 chars vs current station QTH first 4 chars
// (guards against a misconfigured station; unrelated to the QSO counterpart grid - per user)
if (!force) {
val userGrid = userQthGrid()
if (userGrid != null && stationGrid.take(4).lowercase() != userGrid.take(4).lowercase()) {
@@ -53,14 +54,14 @@ class WavelogUploader(
}
}
// 3. 逐条上传(成功后标记 uploaded, 保留在本地供日志页打勾)
// 3. Upload one by one. ADIF gridsquare = counterpart grid (the QSO partner); blank until the scraper lands
val entries = queue.all()
var ok = 0
var fail = 0
var firstError = ""
for (qso in entries) {
if (qso.uploaded) { ok++; continue }
val result = WaveLogApi.postQso(url, apiKey, stationId, qso, stationGrid)
val result = WaveLogApi.postQso(url, apiKey, stationId, qso, qso.gridsquare)
if (result is WavelogResult.Success) {
ok++
queue.markUploaded(qso.id)
@@ -84,7 +85,7 @@ class WavelogUploader(
return cachedStationGrid
}
/** 用户当前 QTH 网格(前 4 位; 无 QTH 返回 null = 跳过检测) */
/** User's current QTH grid (first 4 chars; null when no QTH = check skipped) */
private fun userQthGrid(): String? {
return settingsRepo.stationPosition.value.qthLocator?.takeIf { it.length >= 4 }
}
core/domain/src/test/java/com/rtbishop/look4sat/core/domain/DataParserTest.kt
+49
View File
@@ -18,9 +18,11 @@
package com.rtbishop.look4sat.core.domain
import com.rtbishop.look4sat.core.domain.utility.DataParser
import com.rtbishop.look4sat.core.domain.utility.aprsPasscode
import kotlinx.coroutines.ExperimentalCoroutinesApi
import kotlinx.coroutines.test.StandardTestDispatcher
import kotlinx.coroutines.test.runTest
import org.junit.Assert.assertEquals
import org.junit.Test
@ExperimentalCoroutinesApi
@@ -111,6 +113,47 @@ class DataParserTest {
assert(dataParser.parseCSVStream(invalidCSVStream).isEmpty())
}
private fun csvWithEpoch(epoch: String) = """
OBJECT_NAME,OBJECT_ID,EPOCH,MEAN_MOTION,ECCENTRICITY,INCLINATION,RA_OF_ASC_NODE,ARG_OF_PERICENTER,MEAN_ANOMALY,EPHEMERIS_TYPE,CLASSIFICATION_TYPE,NORAD_CAT_ID,ELEMENT_SET_NO,REV_AT_EPOCH,BSTAR,MEAN_MOTION_DOT,MEAN_MOTION_DDOT
ISS (ZARYA),1998-067A,$epoch,15.48582035,.0004694,51.6447,309.4881,203.6966,299.8876,0,U,25544,999,31220,.31985E-4,.1288E-4,0
""".trimIndent().byteInputStream()
@Test
fun `Given CSV epoch one minute past midnight the day fraction is correct`() = runTest(testDispatcher) {
// Regression: the day fraction used to be built by string surgery
// (Double.toString().substring(1)), but toString switches to scientific
// notation below 1e-3, so the leading significant digit was truncated.
// 00:01:00 produced "25001.944444444444445E-4" -> 2.50019..., an epoch
// roughly 26 years off, with no exception to reveal it.
val sat = dataParser.parseCSVStream(csvWithEpoch("2025-01-01T00:01:00.000000"))[0]
assertEquals(25001.0 + 60.0 / 86400.0, sat.epoch, 1e-9)
}
@Test
fun `Given CSV epoch one second past midnight the day fraction is correct`() = runTest(testDispatcher) {
val sat = dataParser.parseCSVStream(csvWithEpoch("2025-01-01T00:00:01.000000"))[0]
assertEquals(25001.0 + 1.0 / 86400.0, sat.epoch, 1e-9)
}
@Test
fun `Given CSV epoch exactly at midnight the day fraction is zero`() = runTest(testDispatcher) {
val sat = dataParser.parseCSVStream(csvWithEpoch("2025-01-01T00:00:00.000000"))[0]
assertEquals(25001.0, sat.epoch, 1e-9)
}
@Test
fun `Given CSV epoch at midday the day fraction is one half`() = runTest(testDispatcher) {
val sat = dataParser.parseCSVStream(csvWithEpoch("2025-01-01T12:00:00.000000"))[0]
assertEquals(25001.5, sat.epoch, 1e-9)
}
@Test
fun `Given CSV epoch late in the day the day fraction stays below one`() = runTest(testDispatcher) {
val sat = dataParser.parseCSVStream(csvWithEpoch("2025-01-01T23:59:59.999000"))[0]
assert(sat.epoch > 25001.999) { "expected almost a full day, got ${sat.epoch}" }
assert(sat.epoch < 25002.0) { "day fraction must not roll into the next day, got ${sat.epoch}" }
}
@Test
fun `Given valid TLE stream returns valid data`() = runTest(testDispatcher) {
val parsedList = dataParser.parseTLEStream(validTLEStream)
@@ -239,4 +282,10 @@ class DataParserTest {
// Matches the CSV test data epoch: 2021-11-16 → day 320
assert(dataParser.getDayOfYear(2021, 11, 16) == 320)
}
@Test
fun `check APRS passcode calculation`() {
assert("M7LNB".aprsPasscode() == 12443)
assert("N0CALL".aprsPasscode() == 13023)
}
}
core/domain/src/test/java/com/rtbishop/look4sat/core/domain/DopplerFrequencyCalculatorTest.kt
+93 -12
View File
@@ -3,12 +3,17 @@ package com.rtbishop.look4sat.core.domain
import com.rtbishop.look4sat.core.domain.model.SatRadio
import com.rtbishop.look4sat.core.domain.predict.OrbitalPos
import com.rtbishop.look4sat.core.domain.utility.DopplerFrequencyCalculator
import org.junit.Assert.*
import org.junit.Assert.assertEquals
import org.junit.Assert.assertFalse
import org.junit.Assert.assertNotNull
import org.junit.Assert.assertNull
import org.junit.Assert.assertTrue
import org.junit.Test
class DopplerFrequencyCalculatorTest {
private fun linearTransponder(
uuid: String = "linear",
upLow: Long = 145_000_000L,
upHigh: Long = 145_500_000L,
downLow: Long = 435_000_000L,
@@ -18,7 +23,7 @@ class DopplerFrequencyCalculatorTest {
downlinkMode: String? = "USB",
uplinkMode: String? = "LSB"
) = SatRadio(
uuid = "linear", info = info, isAlive = true,
uuid = uuid, info = info, isAlive = true,
downlinkLow = downLow, downlinkHigh = downHigh,
downlinkMode = downlinkMode, uplinkLow = upLow, uplinkHigh = upHigh,
uplinkMode = uplinkMode, isInverted = inverted, catnum = 12345
@@ -68,19 +73,99 @@ class DopplerFrequencyCalculatorTest {
assertFalse(DopplerFrequencyCalculator.isNamedLinearTransponder(driftingRangeEntry))
}
@Test
fun isNamedLinearTransponder_returnsTrueForAbbreviatedLinName() {
// AO-7 style: "Mode V/A (A) Lin SSB" — "Lin" abbreviation, no "transponder" word
val ao7Entry = linearTransponder(info = "Mode V/A (A) Lin SSB", downlinkMode = "USB", uplinkMode = "USB")
assertTrue(DopplerFrequencyCalculator.isNamedLinearTransponder(ao7Entry))
val ao7CwEntry = linearTransponder(info = "Mode V/A (A) Lin CW", downlinkMode = "CW", uplinkMode = "CW")
assertTrue(DopplerFrequencyCalculator.isNamedLinearTransponder(ao7CwEntry))
val ao7ModeBEntry = linearTransponder(info = "Mode U/V (B) Lin", downlinkMode = "USB", uplinkMode = "LSB")
assertTrue(DopplerFrequencyCalculator.isNamedLinearTransponder(ao7ModeBEntry))
}
@Test
fun isNamedLinearTransponder_returnsTrueForLinearWithoutTransponderWord() {
// AO-73 style: "Mode U/V Linear" — has "Linear" but no "transponder"
val ao73Entry = linearTransponder(info = "Mode U/V Linear", downlinkMode = "USB", uplinkMode = "LSB")
assertTrue(DopplerFrequencyCalculator.isNamedLinearTransponder(ao73Entry))
}
@Test
fun isNamedLinearTransponder_returnsFalseForDownlinkContainingLinInsideWord() {
// "Downlink" contains "lin" but is not a linear-transponder name
val downlinkEntry = linearTransponder(info = "Mode U Downlink", downlinkMode = "FM", uplinkMode = "FM")
assertFalse(DopplerFrequencyCalculator.isNamedLinearTransponder(downlinkEntry))
}
@Test
fun isNamedLinearTransponder_returnsFalseForFmRepeater() {
assertFalse(DopplerFrequencyCalculator.isNamedLinearTransponder(fmTransponder()))
}
@Test
fun deduplicateTransponders_mergesSameFrequencyRange() {
// AO-7's Mode A: same range, SSB and CW entries
val ssb = linearTransponder(
uuid = "ssb-uuid", info = "Mode V/A (A) Lin SSB",
downlinkMode = "USB", uplinkMode = "USB"
)
val cw = linearTransponder(
uuid = "cw-uuid", info = "Mode V/A (A) Lin CW",
downlinkMode = "CW", uplinkMode = "CW"
)
val modeB = linearTransponder(
uuid = "modeb-uuid", info = "Mode U/V (B) Lin",
upLow = 432_125_000L, upHigh = 432_175_000L,
downLow = 145_925_000L, downHigh = 145_975_000L,
downlinkMode = "USB", uplinkMode = "LSB"
)
val result = DopplerFrequencyCalculator.deduplicateTransponders(listOf(ssb, cw, modeB))
assertEquals(2, result.size)
// SSB entry should be preferred over CW (same range)
assertEquals("ssb-uuid", result[0].uuid)
assertEquals("modeb-uuid", result[1].uuid)
}
@Test
fun deduplicateTransponders_prefersNonCwEntry() {
// JO-97: CW entry has invert=false (wrong), SSB has invert=true (correct)
val cw = linearTransponder(
uuid = "cw-uuid", info = "U/V CW Transponder",
downlinkMode = "CW", uplinkMode = "CW",
upLow = 435_100_000L, upHigh = 435_120_000L,
downLow = 145_855_000L, downHigh = 145_875_000L
)
val ssb = linearTransponder(
uuid = "ssb-uuid", info = "U/V SSB Transponder",
downlinkMode = "USB", uplinkMode = "LSB",
upLow = 435_100_000L, upHigh = 435_120_000L,
downLow = 145_855_000L, downHigh = 145_875_000L,
inverted = true
)
val result = DopplerFrequencyCalculator.deduplicateTransponders(listOf(cw, ssb))
assertEquals(1, result.size)
assertEquals("ssb-uuid", result[0].uuid)
// Verify the correct invert flag is preserved
assertTrue(result[0].isInverted)
}
@Test
fun deduplicateTransponders_preservesUniqueEntries() {
val t1 = linearTransponder(uuid = "t1", upLow = 145_000_000L, upHigh = 145_500_000L,
downLow = 435_000_000L, downHigh = 435_500_000L)
val t2 = linearTransponder(uuid = "t2", upLow = 435_000_000L, upHigh = 435_500_000L,
downLow = 145_000_000L, downHigh = 145_500_000L)
val result = DopplerFrequencyCalculator.deduplicateTransponders(listOf(t1, t2))
assertEquals(2, result.size)
}
@Test
fun computeUplinkFromDownlink_linear_noDoppler() {
val xpdr = linearTransponder()
val orbitalPos = pos(0.0)
val uplink = DopplerFrequencyCalculator.computeUplinkFromDownlink(435_200_000L, xpdr, orbitalPos)
assertNotNull(uplink)
assertTrue(uplink!! > 0)
// With zero Doppler, result equals mapDownlinkToUplink output
assertEquals(145_200_000L, uplink)
}
@@ -95,24 +180,23 @@ class DopplerFrequencyCalculatorTest {
@Test
fun computeUplinkFromDownlink_withDoppler_positiveRangeRate() {
// Satellite receding (positive range rate) → ground must transmit higher freq to compensate
// Satellite receding (positive range rate) → ground must transmit higher freq to compensate.
val xpdr = linearTransponder()
val orbitalPos = pos(7.0) // ~7 km/s receding
val orbitalPos = pos(7.0)
val uplink = DopplerFrequencyCalculator.computeUplinkFromDownlink(435_200_000L, xpdr, orbitalPos)
assertNotNull(uplink)
// Uplink freq should be Doppler shifted UP (compensating for receding)
assertTrue(uplink!! > 145_200_000L)
}
@Test
fun computeUplinkFromDownlink_fm_transponder_returnsNull() {
fun computeUplinkFromDownlink_fmTransponder_returnsNull() {
val orbitalPos = pos()
val result = DopplerFrequencyCalculator.computeUplinkFromDownlink(435_600_000L, fmTransponder(), orbitalPos)
assertNull(result)
}
@Test
fun computeDownlinkFromUplink_fm_transponder_returnsNull() {
fun computeDownlinkFromUplink_fmTransponder_returnsNull() {
val orbitalPos = pos()
val result = DopplerFrequencyCalculator.computeDownlinkFromUplink(145_900_000L, fmTransponder(), orbitalPos)
assertNull(result)
@@ -171,13 +255,11 @@ class DopplerFrequencyCalculatorTest {
val orbitalPos = pos(0.0)
val uplink = DopplerFrequencyCalculator.computeUplinkFromDownlink(435_200_000L, xpdr, orbitalPos)
assertNotNull(uplink)
// Inverted: offset from high end → maps to high end of uplink
assertEquals(145_300_000L, uplink)
}
@Test
fun computeUplinkFromDownlink_roundTrip() {
// downlink → uplink → downlink should round-trip
val xpdr = linearTransponder()
val orbitalPos = pos(3.5)
val originalDownlink = 435_250_000L
@@ -185,7 +267,6 @@ class DopplerFrequencyCalculatorTest {
assertNotNull(uplink)
val roundTripDownlink = DopplerFrequencyCalculator.computeDownlinkFromUplink(uplink!!, xpdr, orbitalPos)
assertNotNull(roundTripDownlink)
// Doppler round-trip: small residual due to freq-dependent Doppler
val error = kotlin.math.abs(roundTripDownlink!! - originalDownlink)
assertTrue("Round-trip error too large: $error", error < 10000)
}
core/domain/src/test/java/com/rtbishop/look4sat/core/domain/QthConverterTest.kt
+53 -2
View File
@@ -70,7 +70,9 @@ class QthConverterTest {
fun `Given boundary POS stays in valid grid`() {
// antipodal / edge cases must not overflow the A-R / 0-9 / a-x alphabet
assert(positionToQth(-90.0, -180.0, 8) == "AA00aa00")
assert(positionToQth(90.0, 180.0, 8) == "RR00aa00")
// Exact positive bounds belong to the final cell, not a modulo-wrapped
// R-field/0-square combination that decodes 10°/20° away.
assert(positionToQth(90.0, 180.0, 8) == "RR99xx99")
assert(positionToQth(0.0, 0.0, 8) == "JJ00aa00")
// roundtrip stability: 8-char roundtrip is stable across a sample of positions
val positions = listOf(
@@ -85,9 +87,58 @@ class QthConverterTest {
}
}
@Test
fun `Encoded locator always decodes back within one cell`() {
// An 8-char cell is 30" lon x 15" lat, so a correct encode/decode pair
// can never differ by more than that. Field clamping used to break this
// near +90 / +180 and produced errors up to 10 deg lat / 20 deg lon.
var worstLat = 0.0
var worstLon = 0.0
var worst = ""
var lat = -90.0
while (lat <= 90.0) {
var lon = -180.0
while (lon <= 180.0) {
val qth = positionToQth(lat, lon, 8)
?: error("valid position rejected: ($lat, $lon)")
val pos = qthToPosition(qth) ?: error("own output rejected: $qth")
val dLat = kotlin.math.abs(pos.latitude - lat)
val dLon = kotlin.math.abs(pos.longitude - lon)
if (dLat > worstLat || dLon > worstLon) {
worstLat = maxOf(worstLat, dLat)
worstLon = maxOf(worstLon, dLon)
worst = "($lat, $lon) -> $qth -> (${pos.latitude}, ${pos.longitude})"
}
lon += 0.5
}
lat += 0.5
}
assert(worstLat <= 0.01 && worstLon <= 0.01) {
"roundtrip drifted by (${worstLat}, ${worstLon}) deg, worst: $worst"
}
}
@Test
fun `Given out of range longitude returns null`() {
// Maidenhead only covers -180..180; 181..360 used to be accepted and
// encoded into a plausible-looking locator 20-200 deg away.
assert(positionToQth(0.0, 181.0) == null)
assert(positionToQth(0.0, 270.0) == null)
assert(positionToQth(0.0, 360.0) == null)
}
@Test
fun `Given locator with out of range field returns null`() {
// Fields run A-R; S-X in the first pair decoded past the poles.
assert(qthToPosition("SS00aa") == null)
assert(qthToPosition("XX99xx") == null)
assert(qthToPosition("AS00aa") == null)
assert(qthToPosition("AX99xx") == null)
}
@Test
fun `Given square returns correct 3x3 neighbors`() {
// Reference grid from the QTH定位器 screenshot: OL42
// Reference grid from the QTH Locator screenshot: OL42
val neighbors = qthNeighbors("OL42")
assert(neighbors == listOf(
"OL33", "OL43", "OL53",
core/domain/src/test/java/com/rtbishop/look4sat/core/domain/aprs/AprsPacketLocaleTest.kt
+91
View File
@@ -0,0 +1,91 @@
package com.rtbishop.look4sat.core.domain.aprs
import org.junit.After
import org.junit.Assert.assertEquals
import org.junit.Assert.assertTrue
import org.junit.Test
import java.util.Locale
/**
* APRS-IS is an ASCII line protocol. Formatting the position, altitude and
* course/speed extensions with the JVM default locale produced Eastern Arabic
* or Bengali digits on devices set to ar/fa/bn, and the server rejects those
* packets.
*
* Regression guard: every formatted field must stay ASCII regardless of the
* default locale.
*/
class AprsPacketLocaleTest {
private val original: Locale = Locale.getDefault()
@After
fun restoreLocale() {
Locale.setDefault(original)
}
private val asciiPacket = Regex("^[\\x20-\\x7E]*$")
@Test
fun position_staysAsciiUnderArabicLocale() {
Locale.setDefault(Locale.forLanguageTag("ar-EG"))
val encoded = AprsPosition(39.9042, 116.4074, '/', '>').toUncompressedString()
assertTrue("not ASCII: $encoded", asciiPacket.matches(encoded))
assertEquals("3954.25N/11624.44E>", encoded)
}
@Test
fun position_staysAsciiUnderBengaliLocale() {
Locale.setDefault(Locale.forLanguageTag("bn-BD"))
val encoded = AprsPosition(-33.8688, 151.2093, '/', '>').toUncompressedString()
assertTrue("not ASCII: $encoded", asciiPacket.matches(encoded))
assertEquals("3352.13S/15112.56E>", encoded)
}
@Test
fun altitudeAndCourseSpeed_stayAsciiUnderPersianLocale() {
Locale.setDefault(Locale.forLanguageTag("fa-IR"))
val altitude = AprsPacket.formatAltitude(100.0)
val courseSpeed = AprsPacket.formatCourseSpeed(10.0, 90f)
val filter = AprsPacket.formatRangeFilter(39.9042, 116.4074, 100)
assertTrue("not ASCII: $altitude", asciiPacket.matches(altitude))
assertTrue("not ASCII: $courseSpeed", asciiPacket.matches(courseSpeed))
assertTrue("not ASCII: $filter", asciiPacket.matches(filter))
assertEquals("/A=000328", altitude)
assertEquals("/090/019", courseSpeed)
assertEquals("r/39.904/116.407/100", filter)
}
@Test
fun altitude_clampsNegativeToKeepSixDigitField() {
// "%06d" of a negative value yields "/A=-00164": the '-' takes a digit
// slot, so the extension is no longer a valid fixed-width field.
assertEquals("/A=000000", AprsPacket.formatAltitude(-50.0))
assertEquals("/A=000000", AprsPacket.formatAltitude(-1.0))
assertEquals("/A=000328", AprsPacket.formatAltitude(100.0))
}
@Test
fun courseSpeed_wrapsCourseIntoValidRange() {
assertEquals("/000/019", AprsPacket.formatCourseSpeed(10.0, 360f))
assertEquals("/359/019", AprsPacket.formatCourseSpeed(10.0, -1f))
assertEquals("/090/019", AprsPacket.formatCourseSpeed(10.0, 90f))
}
@Test
fun ambiguousPosition_staysAsciiUnderArabicLocale() {
Locale.setDefault(Locale.forLanguageTag("ar-EG"))
for (ambiguity in 1..4) {
val encoded = AprsPosition(39.9042, 116.4074, '/', '>', ambiguity)
.toUncompressedString()
assertTrue("ambiguity=$ambiguity not ASCII: $encoded", asciiPacket.matches(encoded))
}
}
}
core/domain/src/test/java/com/rtbishop/look4sat/core/domain/cw/CwCtcDecoderTest.kt
+90
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/*
* Look4Sat. Amateur radio satellite tracker and pass predictor.
* Copyright (C) 2019-2026 Arty Bishop and contributors.
*
* This program is free software: you can redistribute it and/or modify
* it under the terms of the GNU General Public License as published by
* the Free Software Foundation, either version 3 of the License, or
* (at your option) any later version.
*
* This program is distributed in the hope that it will be useful,
* but WITHOUT ANY WARRANTY; without even the implied warranty of
* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
* GNU General Public License for more details.
*
* You should have received a copy of the GNU General Public License
* along with this program. If not, see <https://www.gnu.org/licenses/>.
*/
package com.rtbishop.look4sat.core.domain.cw
import org.junit.Assert.assertEquals
import org.junit.Test
/**
* Greedy CTC collapse, matching the reference implementation's
* `greedy_ctc_decode`: drop blanks, then drop runs of the same label.
*
* Alphabet from `model.onnx.json` — 41 symbols plus blank at index 41.
*/
class CwCtcDecoderTest {
private val chars = listOf(
",", ".", "/", "0", "1", "2", "3", "4", "5", "6", "7", "8", "9", "?",
"A", "B", "C", "D", "E", "F", "G", "H", "I", "J", "K", "L", "M", "N",
"O", "P", "Q", "R", "S", "T", "U", "V", "W", "X", "Y", "Z", " "
)
private val blank = 41
/** Build a `[1, T, 42]` log-prob tensor whose argmax follows [path]. */
private fun logits(path: IntArray): Array<Array<FloatArray>> {
val frames = Array(path.size) { t ->
FloatArray(42) { -10f }.also { it[path[t]] = 0f }
}
return arrayOf(frames)
}
@Test
fun alphabetSizeMatchesModelMetadata() {
assertEquals("41 symbols + blank = 42 classes", 41, chars.size)
}
@Test
fun greedy_dropsRunsOfTheSameLabel() {
assertEquals("A", CwCtcDecoder.greedy(logits(intArrayOf(14, 14, 14)), chars, blank))
}
@Test
fun greedy_keepsRepeatsSeparatedByBlank() {
// A A <blank> A collapses to "AA": the blank breaks the run.
assertEquals("AA", CwCtcDecoder.greedy(logits(intArrayOf(14, 14, blank, 14)), chars, blank))
}
@Test
fun greedy_allBlanksYieldEmptyString() {
assertEquals("", CwCtcDecoder.greedy(logits(intArrayOf(blank, blank, blank)), chars, blank))
}
@Test
fun greedy_emptyInputYieldsEmptyString() {
assertEquals("", CwCtcDecoder.greedy(logits(intArrayOf()), chars, blank))
}
@Test
fun greedy_decodesCallsignWithSpaceAndDigits() {
// "CQ BG7" — C=16 Q=30 space=40 B=15 G=20 7=10
val path = intArrayOf(
blank, 16, 16, blank, 30, blank, 40,
15, blank, 20, blank, 10, blank
)
assertEquals("CQ BG7", CwCtcDecoder.greedy(logits(path), chars, blank))
}
@Test
fun greedy_picksHighestScoringClassPerFrame() {
// Frame favours S (32) over T (33); only S must survive.
val frame = FloatArray(42) { -10f }
frame[33] = -1f
frame[32] = -0.1f
assertEquals("S", CwCtcDecoder.greedy(arrayOf(arrayOf(frame)), chars, blank))
}
}
core/domain/src/test/java/com/rtbishop/look4sat/core/domain/cw/CwDecoderTest.kt
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/*
* Look4Sat. Amateur radio satellite tracker and pass predictor.
* Copyright (C) 2019-2026 Arty Bishop and contributors.
*
* This program is free software: you can redistribute it and/or modify
* it under the terms of the GNU General Public License as published by
* the Free Software Foundation, either version 3 of the License, or
* (at your option) any later version.
*
* This program is distributed in the hope that it will be useful,
* but WITHOUT ANY WARRANTY; without even the implied warranty of
* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
* GNU General Public License for more details.
*
* You should have received a copy of the GNU General Public License
* along with this program. If not, see <https://www.gnu.org/licenses/>.
*/
package com.rtbishop.look4sat.core.domain.cw
import org.junit.Assert.*
import org.junit.Test
import kotlin.math.PI
import kotlin.math.sin
class CwDecoderTest {
// --- Morse table ---
@Test
fun morseToChar_basicLetters() {
assertEquals('A', CwBayesianDecoder.morseToChar("01"))
assertEquals('S', CwBayesianDecoder.morseToChar("000"))
assertEquals('O', CwBayesianDecoder.morseToChar("111"))
}
@Test
fun morseToChar_numbers() {
assertEquals('1', CwBayesianDecoder.morseToChar("01111"))
assertEquals('0', CwBayesianDecoder.morseToChar("11111"))
}
@Test
fun morseToChar_unknown_returnsNull() {
assertNull(CwBayesianDecoder.morseToChar("......."))
assertNull(CwBayesianDecoder.morseToChar(""))
}
// --- FFT ---
@Test
fun fft_magnitudeSpectrum_detectsTone() {
val fft = CwFFT(256)
val sampleRate = 8000f
val freq = 700f
val buffer = FloatArray(256) { (sin(2.0 * PI * freq * it / sampleRate)).toFloat() }
val mag = fft.magnitudeSpectrum(buffer)
// Peak should be at bin around 700 * 256 / 8000 ≈ 22.4
var maxBin = 0
var maxVal = 0f
for (i in mag.indices) {
if (mag[i] > maxVal) { maxVal = mag[i]; maxBin = i }
}
assertTrue("Peak bin $maxBin should be near 22", maxBin in 18..26)
assertTrue("Peak value $maxVal should be positive", maxVal > 0.01f)
}
@Test
fun fft_magnitudeSpectrum_silence_isFlat() {
val fft = CwFFT(256)
val buffer = FloatArray(256) { 0f }
val mag = fft.magnitudeSpectrum(buffer)
for (v in mag) assertEquals("Silence spectrum should be 0, got $v", 0f, v, 1e-6f)
}
@Test
fun fft_rejectsWrongSize() {
assertThrows(IllegalArgumentException::class.java) { CwFFT(100) }
}
// --- Spectrogram ---
@Test
fun spectrogram_addSamples_updatesEnergy() {
val spec = CwSpectrogram(sampleRate = 8000)
val freq = 700f
// Feed multiple frames to stabilize energy normalization
for (i in 0..5) {
val buffer = FloatArray(256) { (sin(2.0 * PI * freq * it / 8000.0)).toFloat() }
spec.addSamples(buffer)
}
val col = spec.getCurrentColumn()
val peakBin = spec.findPeakBin()
assertTrue("Peak bin $peakBin should be >= 0", peakBin >= 0)
}
@Test
fun spectrogram_findPeakBin_returnsValidBin() {
val spec = CwSpectrogram(sampleRate = 8000)
// Add multiple frames of 700 Hz tone
for (i in 0..5) {
val buffer = FloatArray(256) { (sin(2.0 * PI * 700.0 * it / 8000.0)).toFloat() }
spec.addSamples(buffer)
}
val peakBin = spec.findPeakBin()
assertTrue("Peak bin should be >= 0, got $peakBin", peakBin >= 0)
}
@Test
fun spectrogram_freqToBin_roundtrip() {
val spec = CwSpectrogram(sampleRate = 8000)
val freq = 700f
val bin = spec.freqToBin(freq)
val backFreq = spec.binToFreq(bin)
assertTrue("Freq $freq → bin $bin → freq $backFreq", backFreq > 600f && backFreq < 800f)
}
@Test
fun spectrogram_getBinEnergy_returnsCorrectLength() {
val spec = CwSpectrogram(sampleRate = 8000)
val energy = spec.getBinEnergy(0, 10)
assertEquals(10, energy.size)
}
@Test
fun spectrogram_reset() {
val spec = CwSpectrogram(sampleRate = 8000)
spec.addSamples(FloatArray(256) { 1f })
spec.reset()
assertEquals(-1, spec.findPeakBin())
}
// --- Bayesian decoder ---
@Test
fun bayesian_processTone_dit() {
val decoder = CwBayesianDecoder()
// At 20 WPM, dot = 60 ms
val result = decoder.processTone(60f)
assertEquals('0', result.symbol)
assertTrue("Dit probability should be positive", result.probability > 0.1f)
}
@Test
fun bayesian_processTone_dash() {
val decoder = CwBayesianDecoder()
// Dash = 3 * dot = 180 ms
val result = decoder.processTone(180f)
assertEquals('1', result.symbol)
assertTrue("Dash probability should be positive", result.probability > 0.1f)
}
@Test
fun bayesian_processTone_unknown_returnsNull() {
val decoder = CwBayesianDecoder()
// Very long tone — low probability for both dit and dash
val result = decoder.processTone(5000f)
assertNull(result.symbol)
}
@Test
fun bayesian_processGap_interChar_returnsChar() {
val decoder = CwBayesianDecoder()
decoder.processTone(60f) // dit
decoder.processTone(60f) // dit
decoder.processTone(60f) // dit
// 3 dots = "000" = 'S'
val char = decoder.processGap(180f) // 3 * dot = inter-char gap
assertEquals('S', char)
}
@Test
fun bayesian_processGap_wordGap_addsSpace() {
val decoder = CwBayesianDecoder()
decoder.processTone(60f) // dit = 'E'
decoder.processGap(180f) // inter-char gap
// Now word gap
val space = decoder.processGap(420f) // 7 * dot
assertEquals(' ', space)
}
@Test
fun bayesian_decodedText_accumulates() {
val decoder = CwBayesianDecoder()
decoder.processTone(60f) // dit = 'E'
decoder.processGap(180f) // inter-char
assertTrue(decoder.decodedText.isNotEmpty())
}
@Test
fun bayesian_reset() {
val decoder = CwBayesianDecoder()
decoder.processTone(60f)
decoder.reset()
assertEquals("", decoder.decodedText)
}
@Test
fun bayesian_getSpeed() {
val decoder = CwBayesianDecoder()
// Send 3 dits at 20 WPM (60 ms each)
decoder.processTone(60f)
decoder.processTone(60f)
decoder.processTone(60f)
val speed = decoder.getSpeed()
assertTrue("Speed should be ~20 WPM, got $speed", speed > 15f && speed < 30f)
}
// --- Channel tracker ---
@Test
fun channelTracker_initialState() {
val spec = CwSpectrogram(sampleRate = 8000)
val tracker = CwChannelTracker(spec)
val channels = tracker.update()
assertTrue("No channels should be active initially", channels.isEmpty())
}
@Test
fun channelTracker_detectsTone() {
val spec = CwSpectrogram(sampleRate = 8000)
// Feed a tone
for (i in 0..5) {
spec.addSamples(FloatArray(256) { (sin(2.0 * PI * 700.0 * it / 8000.0)).toFloat() })
}
val tracker = CwChannelTracker(spec)
val channels = tracker.update()
assertTrue("Should detect at least 1 channel", channels.isNotEmpty())
}
@Test
fun channelTracker_bestChannel() {
val spec = CwSpectrogram(sampleRate = 8000)
for (i in 0..5) {
spec.addSamples(FloatArray(256) { (sin(2.0 * PI * 700.0 * it / 8000.0)).toFloat() })
}
val tracker = CwChannelTracker(spec)
tracker.update()
val best = tracker.getBestChannel()
assertNotNull("Best channel should exist", best)
if (best != null) assertTrue(best.frequency in 600f..800f)
}
@Test
fun channelTracker_reset() {
val spec = CwSpectrogram(sampleRate = 8000)
for (i in 0..5) {
spec.addSamples(FloatArray(256) { (sin(2.0 * PI * 700.0 * it / 8000.0)).toFloat() })
}
val tracker = CwChannelTracker(spec)
tracker.update()
tracker.reset()
assertNull(tracker.getBestChannel())
}
// --- Full decoder ---
@Test
fun decoder_initialState() {
val decoder = CwDecoder()
assertEquals("", decoder.decodedTextFlow.value)
assertEquals(0f, decoder.signalStrength.value, 0.001f)
}
@Test
fun decoder_processSilence_doesNotCrash() {
val decoder = CwDecoder()
decoder.processBuffer(FloatArray(256) { 0f })
assertEquals("", decoder.decodedTextFlow.value)
}
@Test
fun decoder_processNoise_doesNotCrash() {
val decoder = CwDecoder()
decoder.processBuffer(FloatArray(256) { (Math.random() * 2 - 1).toFloat() * 0.1f })
assertNotNull(decoder.decodedTextFlow.value)
}
@Test
fun decoder_processTone_doesNotCrash() {
val decoder = CwDecoder()
for (i in 0..20) {
decoder.processBuffer(FloatArray(256) { (sin(2.0 * PI * 700.0 * it / 8000.0)).toFloat() })
}
assertNotNull(decoder.decodedTextFlow.value)
}
@Test
fun decoder_reset() {
val decoder = CwDecoder()
decoder.processBuffer(FloatArray(256) { 1f })
decoder.resetDecoder()
assertEquals("", decoder.decodedTextFlow.value)
assertEquals(0f, decoder.signalStrength.value, 0.001f)
}
@Test
fun decoder_withFixedPitch() {
val decoder = CwDecoder(sampleRate = 8000, cwToneFreq = 700f)
assertEquals(700f, decoder.estimatedPitch.value)
}
}
core/domain/src/test/java/com/rtbishop/look4sat/core/domain/cw/CwDeepBufferTest.kt
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/*
* Look4Sat. Amateur radio satellite tracker and pass predictor.
* Copyright (C) 2019-2026 Arty Bishop and contributors.
*
* This program is free software: you can redistribute it and/or modify
* it under the terms of the GNU General Public License as published by
* the Free Software Foundation, either version 3 of the License, or
* (at your option) any later version.
*
* This program is distributed in the hope that it will be useful,
* but WITHOUT ANY WARRANTY; without even the implied warranty of
* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
* GNU General Public License for more details.
*
* You should have received a copy of the GNU General Public License
* along with this program. If not, see <https://www.gnu.org/licenses/>.
*/
package com.rtbishop.look4sat.core.domain.cw
import org.junit.Assert.assertArrayEquals
import org.junit.Assert.assertEquals
import org.junit.Assert.assertFalse
import org.junit.Assert.assertTrue
import org.junit.Test
/**
* The rolling audio buffer feeding DeepCW.
*
* DeepCW is a whole-segment CTC model, not a sample-by-sample decoder: it
* rewrites earlier output whenever more context arrives, so incremental
* stitching is impossible. Instead we keep a bounded window and re-decode all
* of it periodically, replacing the displayed text.
*/
class CwDeepBufferTest {
@Test
fun capacityIsCappedAtMaxSeconds() {
val buffer = CwDeepBuffer(sampleRate = 3200, maxSeconds = 20.0)
repeat(30) { buffer.append(FloatArray(3200)) }
assertEquals(3200 * 20, buffer.size)
}
@Test
fun oldestSamplesAreDiscardedFirst() {
val buffer = CwDeepBuffer(sampleRate = 4, maxSeconds = 1.0)
buffer.append(floatArrayOf(1f, 2f, 3f))
buffer.append(floatArrayOf(4f, 5f))
assertArrayEquals(floatArrayOf(2f, 3f, 4f, 5f), buffer.snapshot(), 0f)
}
@Test
fun snapshotIsChronologicalAfterWrapAround() {
val buffer = CwDeepBuffer(sampleRate = 4, maxSeconds = 1.0)
buffer.append(floatArrayOf(1f, 2f, 3f, 4f, 5f, 6f))
assertArrayEquals(floatArrayOf(3f, 4f, 5f, 6f), buffer.snapshot(), 0f)
}
@Test
fun appendLargerThanCapacityKeepsOnlyTheTail() {
val buffer = CwDeepBuffer(sampleRate = 4, maxSeconds = 1.0)
buffer.append(floatArrayOf(1f, 2f, 3f, 4f, 5f, 6f, 7f, 8f, 9f))
assertEquals(4, buffer.size)
assertArrayEquals(floatArrayOf(6f, 7f, 8f, 9f), buffer.snapshot(), 0f)
}
@Test
fun redecodeIsSignalledOncePerInterval() {
// 1.5 s at 3200 Hz is 4800 samples; 1600 samples is 0.5 s.
val buffer = CwDeepBuffer(3200, 20.0, redecodeIntervalMs = 1500)
assertFalse("1.0s elapsed: interval not reached", buffer.append(FloatArray(3200)))
assertTrue("1.5s elapsed: first trigger", buffer.append(FloatArray(1600)))
assertFalse("2.0s: only 0.5s since trigger", buffer.append(FloatArray(1600)))
assertFalse("2.5s: only 1.0s since trigger", buffer.append(FloatArray(1600)))
assertTrue("3.0s: 1.5s since trigger, fires again", buffer.append(FloatArray(1600)))
}
@Test
fun redecodeIntervalDoesNotDriftOverManyChunks() {
// 100 ms chunks, as AudioCapture emits them: exactly 15 chunks per
// 1.5 s interval, so 150 chunks must fire exactly 10 times.
val buffer = CwDeepBuffer(3200, 20.0, redecodeIntervalMs = 1500)
var fired = 0
repeat(150) { if (buffer.append(FloatArray(320))) fired++ }
assertEquals(10, fired)
}
@Test
fun snapshotDoesNotAliasInternalStorage() {
val buffer = CwDeepBuffer(sampleRate = 4, maxSeconds = 1.0)
buffer.append(floatArrayOf(1f, 2f, 3f, 4f))
buffer.snapshot()[0] = 99f
assertEquals("caller must not be able to mutate the buffer", 1f, buffer.snapshot()[0], 0f)
}
@Test
fun resetClearsSamplesAndIntervalCounter() {
val buffer = CwDeepBuffer(3200, 20.0, redecodeIntervalMs = 1500)
buffer.append(FloatArray(3200))
buffer.reset()
assertEquals(0, buffer.size)
assertFalse("counter restarted, 1.0s must not trigger", buffer.append(FloatArray(3200)))
}
@Test
fun hasEnoughAudioTracksTheModelMinimum() {
// compute() needs at least FFT_LENGTH samples to produce one frame.
val buffer = CwDeepBuffer(3200, 20.0)
buffer.append(FloatArray(100))
assertFalse(buffer.hasEnoughAudio)
buffer.append(FloatArray(200))
assertTrue(buffer.hasEnoughAudio)
}
@Test
fun defaultsMatchTheMeasuredOptimum() {
// 20s / 1.5s were chosen from measurements: 20s is the smallest window
// reaching 0.0% CER, and keeps inference well inside real time.
val buffer = CwDeepBuffer()
assertEquals(CwDeepSpectrogram.SAMPLE_RATE * 20, buffer.capacity)
}
@Test
fun overflowCollectsEvictedSamplesInOrder() {
val buffer = CwDeepBuffer(sampleRate = 4, maxSeconds = 1.0) // capacity 4
buffer.append(floatArrayOf(1f, 2f, 3f, 4f))
assertEquals("nothing evicted before the window is full", 0, buffer.overflowCount)
buffer.append(floatArrayOf(5f, 6f)) // overwrites 1, 2
assertArrayEquals("evicted samples, oldest first", floatArrayOf(1f, 2f), buffer.drainOverflow(), 0f)
assertArrayEquals("live window still correct", floatArrayOf(3f, 4f, 5f, 6f), buffer.snapshot(), 0f)
}
@Test
fun drainOverflowClearsItself() {
val buffer = CwDeepBuffer(sampleRate = 4, maxSeconds = 1.0)
buffer.append(floatArrayOf(1f, 2f, 3f, 4f))
buffer.append(floatArrayOf(5f))
assertEquals(1, buffer.overflowCount)
buffer.drainOverflow()
assertEquals(0, buffer.overflowCount)
assertArrayEquals(FloatArray(0), buffer.drainOverflow(), 0f)
}
@Test
fun resetClearsOverflow() {
val buffer = CwDeepBuffer(sampleRate = 4, maxSeconds = 1.0)
buffer.append(floatArrayOf(1f, 2f, 3f, 4f))
buffer.append(floatArrayOf(5f))
assertEquals(1, buffer.overflowCount)
buffer.reset()
assertEquals(0, buffer.overflowCount)
}
}
core/domain/src/test/java/com/rtbishop/look4sat/core/domain/cw/CwDeepGoldenVectorTest.kt
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/*
* Look4Sat. Amateur radio satellite tracker and pass predictor.
* Copyright (C) 2019-2026 Arty Bishop and contributors.
*
* This program is free software: you can redistribute it and/or modify
* it under the terms of the GNU General Public License as published by
* the Free Software Foundation, either version 3 of the License, or
* (at your option) any later version.
*
* This program is distributed in the hope that it will be useful,
* but WITHOUT ANY WARRANTY; without even the implied warranty of
* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
* GNU General Public License for more details.
*
* You should have received a copy of the GNU General Public License
* along with this program. If not, see <https://www.gnu.org/licenses/>.
*/
package com.rtbishop.look4sat.core.domain.cw
import org.junit.Assert.assertEquals
import org.junit.Assert.assertTrue
import org.junit.Test
import kotlin.math.PI
import kotlin.math.abs
import kotlin.math.sin
/**
* Pins the Kotlin front-end to the upstream Python reference implementation.
*
* `golden_spec.txt` was produced by deepcw-engine's own preprocessing code
* (numpy reflect padding, `np.hanning(N+1)[:-1]`, `np.fft.rfft`, `log1p`) over
* the audio [generateTestAudio] builds. Both sides synthesise the audio from
* the same deterministic formula, so only the spectrogram needs pinning.
*
* A mismatch here means the model would receive subtly wrong input and emit
* plausible-looking garbage, which is very hard to diagnose downstream — so
* this test guards the whole pipeline.
*
* Regenerate with `scripts/deepcw_gen_golden.py` from the skill library if the
* model metadata ever changes.
*/
class CwDeepGoldenVectorTest {
private companion object {
const val SRC_RATE = 8000
const val TONE_HZ = 700.0
const val AMPLITUDE = 0.6
const val DOT_SAMPLES = 480 // 20 WPM at 8000 Hz: 1.2/20*8000
const val PATTERN = "-.-." // the letter C
const val TOLERANCE = 1e-4f
}
/** Square-keyed 700 Hz tone: 4 dots of silence, "C", 4 dots of silence. */
private fun generateTestAudio(): FloatArray {
val keying = ArrayList<Int>()
repeat(4 * DOT_SAMPLES) { keying.add(0) }
for ((i, element) in PATTERN.withIndex()) {
val length = if (element == '-') 3 * DOT_SAMPLES else DOT_SAMPLES
repeat(length) { keying.add(1) }
if (i < PATTERN.length - 1) repeat(DOT_SAMPLES) { keying.add(0) }
}
repeat(4 * DOT_SAMPLES) { keying.add(0) }
return FloatArray(keying.size) { i ->
if (keying[i] == 1) {
(AMPLITUDE * sin(2.0 * PI * TONE_HZ * i / SRC_RATE)).toFloat()
} else {
0f
}
}
}
private fun readGoldenSpectrogram(): Array<FloatArray> {
val stream = javaClass.classLoader?.getResourceAsStream("cw/golden_spec.txt")
?: throw IllegalStateException("cw/golden_spec.txt missing from test resources")
stream.bufferedReader().use { reader ->
val (frames, bins) = reader.readLine().trim().split(" ").map(String::toInt)
return Array(frames) {
val row = reader.readLine().trim().split(" ")
require(row.size == bins) { "expected $bins values, got ${row.size}" }
FloatArray(bins) { i -> row[i].toFloat() }
}
}
}
@Test
fun spectrogramMatchesPythonReferenceFrameByFrame() {
val expected = readGoldenSpectrogram()
val audio = CwDeepSpectrogram.resampleLinear(
generateTestAudio(), SRC_RATE, CwDeepSpectrogram.SAMPLE_RATE
)
val actual = CwDeepSpectrogram.compute(audio)
assertEquals("frame count", expected.size, actual.size)
assertEquals("bin count", expected[0].size, actual[0].size)
var worstDelta = 0f
var worstAt = ""
for (t in expected.indices) {
for (f in expected[t].indices) {
val delta = abs(expected[t][f] - actual[t][f])
if (delta > worstDelta) {
worstDelta = delta
worstAt = "frame $t bin $f: expected ${expected[t][f]}, got ${actual[t][f]}"
}
}
}
assertTrue(
"front-end diverges from the Python reference — worst delta $worstDelta at $worstAt",
worstDelta <= TOLERANCE
)
}
@Test
fun resampledLengthMatchesReference() {
val audio = generateTestAudio()
assertEquals("source audio length", 9120, audio.size)
val resampled = CwDeepSpectrogram.resampleLinear(
audio, SRC_RATE, CwDeepSpectrogram.SAMPLE_RATE
)
assertEquals("resampled length", 3648, resampled.size)
}
@Test
fun goldenVectorHasExpectedShape() {
val golden = readGoldenSpectrogram()
assertEquals("frames", 77, golden.size)
assertEquals("bins", CwDeepSpectrogram.FREQUENCY_BINS, golden[0].size)
}
}
core/domain/src/test/java/com/rtbishop/look4sat/core/domain/cw/CwDeepSpectrogramTest.kt
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/*
* Look4Sat. Amateur radio satellite tracker and pass predictor.
* Copyright (C) 2019-2026 Arty Bishop and contributors.
*
* This program is free software: you can redistribute it and/or modify
* it under the terms of the GNU General Public License as published by
* the Free Software Foundation, either version 3 of the License, or
* (at your option) any later version.
*
* This program is distributed in the hope that it will be useful,
* but WITHOUT ANY WARRANTY; without even the implied warranty of
* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
* GNU General Public License for more details.
*
* You should have received a copy of the GNU General Public License
* along with this program. If not, see <https://www.gnu.org/licenses/>.
*/
package com.rtbishop.look4sat.core.domain.cw
import org.junit.Assert.assertArrayEquals
import org.junit.Assert.assertEquals
import org.junit.Assert.assertTrue
import org.junit.Test
import kotlin.math.PI
import kotlin.math.abs
import kotlin.math.sin
/**
* Verifies the DeepCW front-end against the upstream Python reference
* implementation (deepcw-engine examples/python/decode_morse.py).
*
* Model metadata: sampleRate 3200, fftLength 256, hopLength 48,
* 400-1200 Hz -> 65 bins, log1p normalization.
*/
class CwDeepSpectrogramTest {
@Test
fun frequencyBinRange_matchesModelMetadata() {
// binHz = 3200/256 = 12.5; start = ceil(400/12.5) = 32; stop = floor(1200/12.5)+1 = 97
val (start, stop) = CwDeepSpectrogram.frequencyBinRange(3200, 256, 400.0, 1200.0)
assertEquals(32, start)
assertEquals(97, stop)
assertEquals("metadata declares 65 frequency bins", 65, stop - start)
}
@Test
fun compute_producesTimeBy65Matrix() {
// 1 second at 3200 Hz. Reflect padding adds fft/2 on both sides,
// so frames = 1 + (3200 + 256 - 256)/48 = 1 + 66 = 67
val spec = CwDeepSpectrogram.compute(FloatArray(3200))
assertEquals(67, spec.size)
assertEquals(65, spec[0].size)
}
@Test
fun compute_toneLandsInExpectedBin() {
// 700 Hz -> absolute bin 700/12.5 = 56 -> relative index 56 - 32 = 24
val audio = FloatArray(3200) { (0.6 * sin(2.0 * PI * 700.0 * it / 3200.0)).toFloat() }
val spec = CwDeepSpectrogram.compute(audio)
val middle = spec[spec.size / 2]
val peak = middle.indices.maxByOrNull { middle[it] } ?: -1
assertTrue("peak at index $peak, expected near 24", abs(peak - 24) <= 1)
}
/**
* The waterfall asks for the whole band so that a tone the model cannot read is still
* in the picture. Inside the model's window such a tone leaves nothing to see: the
* brightest column there is noise, and it does not even follow the keying.
*/
@Test
fun compute_wholeBandPlacesAnOutOfWindowTone() {
val audio = FloatArray(3200) { (0.6 * sin(2.0 * PI * 1500.0 * it / 3200.0)).toFloat() }
val display = CwDeepSpectrogram.compute(
audio,
CwDeepSpectrogram.DISPLAY_MIN_FREQ_HZ,
CwDeepSpectrogram.DISPLAY_MAX_FREQ_HZ
)
// DC to Nyquist inclusive: 0..1600 Hz in 12.5 Hz steps.
assertEquals(129, display[0].size)
val middle = display[display.size / 2]
val peak = middle.indices.maxByOrNull { middle[it] } ?: -1
val binHz = CwDeepSpectrogram.SAMPLE_RATE.toDouble() / CwDeepSpectrogram.FFT_LENGTH
assertEquals("1500 Hz must land on its own bin", 1500.0, peak * binHz, binHz)
}
/** The model's own call must keep its exact shape, whatever the display asks for. */
@Test
fun compute_defaultsToTheModelWindow() {
val audio = FloatArray(3200) { (0.6 * sin(2.0 * PI * 700.0 * it / 3200.0)).toFloat() }
val model = CwDeepSpectrogram.compute(audio)
val explicit = CwDeepSpectrogram.compute(
audio, CwDeepSpectrogram.MIN_FREQ_HZ, CwDeepSpectrogram.MAX_FREQ_HZ
)
assertEquals(CwDeepSpectrogram.FREQUENCY_BINS, model[0].size)
assertEquals(model.size, explicit.size)
for (frame in model.indices) {
assertArrayEquals(
"explicit model range must equal the default",
model[frame], explicit[frame], 0f
)
}
}
@Test
fun compute_appliesLog1pSoValuesAreNonNegative() {
val audio = FloatArray(3200) { (0.6 * sin(2.0 * PI * 700.0 * it / 3200.0)).toFloat() }
val spec = CwDeepSpectrogram.compute(audio)
for (frame in spec) {
for (v in frame) {
assertTrue("log1p of a magnitude must be >= 0, got $v", v >= 0f)
}
}
}
@Test
fun resampleLinear_convertsRateAndLength() {
assertEquals(3200, CwDeepSpectrogram.resampleLinear(FloatArray(8000), 8000, 3200).size)
assertEquals(3200, CwDeepSpectrogram.resampleLinear(FloatArray(44100), 44100, 3200).size)
}
@Test
fun resampleLinear_sameRateIsIdentity() {
val input = floatArrayOf(0.1f, 0.2f, 0.3f)
val out = CwDeepSpectrogram.resampleLinear(input, 3200, 3200)
assertEquals(3, out.size)
assertEquals(0.2f, out[1], 1e-6f)
}
@Test
fun resampleLinear_preservesToneFrequency() {
// A 700 Hz tone sampled at 8000 Hz must still peak at bin 24 after
// resampling to 3200 Hz — this is the path real microphone audio takes.
val at8k = FloatArray(8000) { (0.6 * sin(2.0 * PI * 700.0 * it / 8000.0)).toFloat() }
val at3200 = CwDeepSpectrogram.resampleLinear(at8k, 8000, 3200)
val spec = CwDeepSpectrogram.compute(at3200)
val middle = spec[spec.size / 2]
val peak = middle.indices.maxByOrNull { middle[it] } ?: -1
assertTrue("resampled tone peak at $peak, expected near 24", abs(peak - 24) <= 1)
}
@Test
fun compute_rejectsAudioShorterThanFftLength() {
try {
CwDeepSpectrogram.compute(FloatArray(100))
throw AssertionError("expected an exception for audio shorter than fftLength")
} catch (expected: IllegalArgumentException) {
// desired path
}
}
}
core/domain/src/test/java/com/rtbishop/look4sat/core/domain/cw/CwDetectionPoolTest.kt
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package com.rtbishop.look4sat.core.domain.cw
import org.junit.Assert.assertEquals
import org.junit.Assert.assertFalse
import org.junit.Assert.assertTrue
import org.junit.Test
/**
* The pool feeds [CwToneShifter.detectToneHz], which measures a waveform, so the
* samples it hands over must be the most recent audio in chronological order. Getting
* the ring wrap wrong would splice the waveform and corrupt every pitch estimate
* silently - no downstream assertion would notice, which is why these tests drive the
* real class rather than restating its logic.
*/
class CwDetectionPoolTest {
private val capacity = 1280
/** Chunk of a monotonic ramp, so any reordering is visible. */
private fun ramp(from: Int, count: Int) = FloatArray(count) { (from + it).toFloat() }
private fun assertAscending(values: FloatArray) {
for (i in 1 until values.size) {
assertEquals(
"sample $i breaks the ramp, so the ring wrap is wrong",
values[i - 1] + 1f, values[i], 0f
)
}
}
@Test
fun `reports readiness only once capacity is reached`() {
val pool = CwDetectionPool(capacity)
assertFalse("an empty pool is not ready", pool.isReady)
assertEquals(0, pool.size)
// Three 320-sample chunks are 960 samples: still short.
repeat(3) { pool.add(ramp(it * 320, 320)) }
assertEquals(960, pool.size)
assertFalse("960 of $capacity samples is not ready", pool.isReady)
pool.add(ramp(960, 320))
assertEquals(capacity, pool.size)
assertTrue("a full pool must report ready", pool.isReady)
}
@Test
fun `drains a partial fill without stale slots`() {
val pool = CwDetectionPool(capacity)
pool.add(ramp(500, 320))
val drained = pool.drain()
assertEquals("only what was added may come back", 320, drained.size)
assertEquals(500f, drained.first(), 0f)
assertEquals(819f, drained.last(), 0f)
assertAscending(drained)
assertEquals("draining empties the pool", 0, pool.size)
}
@Test
fun `drains exactly the most recent samples once wrapped`() {
val pool = CwDetectionPool(capacity)
// 10 chunks of 320 = 3200 samples through a 1280-sample pool.
repeat(10) { pool.add(ramp(it * 320, 320)) }
val drained = pool.drain()
assertEquals(capacity, drained.size)
assertEquals("the newest sample fed must be last", 3199f, drained.last(), 0f)
assertEquals("the oldest retained sample must be first", (3200 - capacity).toFloat(), drained.first(), 0f)
assertAscending(drained)
}
@Test
fun `keeps only the tail of an oversized chunk`() {
val pool = CwDetectionPool(capacity)
pool.add(ramp(0, 5000))
val drained = pool.drain()
assertEquals(capacity, drained.size)
assertEquals(4999f, drained.last(), 0f)
assertEquals((5000 - capacity).toFloat(), drained.first(), 0f)
assertAscending(drained)
}
@Test
fun `handles single-sample chunks`() {
val pool = CwDetectionPool(capacity)
// Far more single-sample adds than the capacity, exercising every wrap position.
repeat(2000) { pool.add(floatArrayOf(it.toFloat())) }
val drained = pool.drain()
assertEquals(capacity, drained.size)
assertEquals(1999f, drained.last(), 0f)
assertEquals((2000 - capacity).toFloat(), drained.first(), 0f)
assertAscending(drained)
}
@Test
fun `is reusable after draining`() {
val pool = CwDetectionPool(capacity)
repeat(5) { pool.add(ramp(it * 320, 320)) }
pool.drain()
// A second pass must not inherit anything from the first.
pool.add(ramp(9000, 320))
val drained = pool.drain()
assertEquals(320, drained.size)
assertEquals(9000f, drained.first(), 0f)
assertEquals(9319f, drained.last(), 0f)
assertAscending(drained)
}
@Test
fun `clear discards pooled audio`() {
val pool = CwDetectionPool(capacity)
pool.add(ramp(0, 640))
pool.clear()
assertEquals(0, pool.size)
assertFalse(pool.isReady)
pool.add(ramp(7000, 320))
val drained = pool.drain()
assertEquals("cleared samples must not reappear", 320, drained.size)
assertEquals(7000f, drained.first(), 0f)
}
@Test
fun `empty chunks are ignored`() {
val pool = CwDetectionPool(capacity)
pool.add(ramp(0, 320))
pool.add(FloatArray(0))
assertEquals("an empty chunk must not change the pool", 320, pool.size)
assertAscending(pool.drain())
}
@Test
fun `chunk exactly the size of the pool is kept whole`() {
val pool = CwDetectionPool(capacity)
pool.add(ramp(100, capacity))
val drained = pool.drain()
assertEquals(capacity, drained.size)
assertEquals(100f, drained.first(), 0f)
assertEquals((100 + capacity - 1).toFloat(), drained.last(), 0f)
assertAscending(drained)
}
@Test
fun `pooled audio is long enough for the detector to resolve a pitch`() {
// The pool exists to make detection possible at all; prove the pooled length
// actually works rather than only that the plumbing moves samples around.
val sampleRate = CwDeepSpectrogram.SAMPLE_RATE
val pool = CwDetectionPool(capacity)
var phase = 0
repeat(4) {
pool.add(FloatArray(320) { i ->
kotlin.math.sin(2.0 * Math.PI * 1500.0 * (phase + i) / sampleRate).toFloat()
})
phase += 320
}
assertTrue(pool.isReady)
val detected = CwToneShifter.detectToneHz(pool.drain(), sampleRate)
assertEquals(
"four pooled capture chunks must be enough to detect a 1500 Hz tone",
1500.0, detected!!.toDouble(), 25.0
)
}
@Test
fun `rejects a non-positive capacity`() {
for (bad in listOf(0, -1, -1280)) {
try {
CwDetectionPool(bad)
throw AssertionError("capacity $bad should have been rejected")
} catch (expected: IllegalArgumentException) {
// The decoder derives capacity from a constant; a zero would otherwise
// fail later as a division by zero in the ring arithmetic.
}
}
}
}
core/domain/src/test/java/com/rtbishop/look4sat/core/domain/cw/CwShiftDeciderTest.kt
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package com.rtbishop.look4sat.core.domain.cw
import org.junit.Assert.assertEquals
import org.junit.Assert.assertFalse
import org.junit.Assert.assertNotNull
import org.junit.Assert.assertNull
import org.junit.Assert.assertTrue
import org.junit.Test
import kotlin.math.PI
import kotlin.math.abs
import kotlin.math.sin
import kotlin.random.Random
/**
* Drives the real [CwShiftDecider] with the real [CwToneShifter.analyse].
*
* This suite exists because an earlier version of the same rule lived inside the decoder,
* where tests could only restate it. Mutation testing then showed four injected defects -
* removing the silence guard, comparing shifts instead of tones, never setting the anchor,
* and inverting the hysteresis comparison - all left the suite green. Every test below
* targets one of those, so each is now a real tripwire.
*/
class CwShiftDeciderTest {
private val sampleRate = CwDeepSpectrogram.SAMPLE_RATE
private val hysteresisHz = CwShiftDecider.DEFAULT_HYSTERESIS_HZ
private fun steadyTone(hz: Double, samples: Int = 1280): FloatArray =
FloatArray(samples) { i -> sin(2.0 * PI * hz * i / sampleRate).toFloat() }
private fun noise(samples: Int = 1280, seed: Int = 1, level: Double = 0.02): FloatArray {
val random = Random(seed)
return FloatArray(samples) { ((random.nextDouble() - 0.5) * 2 * level).toFloat() }
}
private fun analyse(audio: FloatArray) = CwToneShifter.analyse(audio, sampleRate)
private fun feed(decider: CwShiftDecider, audio: FloatArray) = decider.accept(analyse(audio))
// --- Mutant (a): the silence guard ---------------------------------------------
@Test
fun `silence retains an established shift`() {
val decider = CwShiftDecider()
val established = feed(decider, steadyTone(1400.0))
assertEquals(CwShiftDecider.Outcome.SHIFTED, established.outcome)
assertTrue("a 1400 Hz tone must produce a shift", established.shiftHz != 0f)
val silent = feed(decider, noise())
assertEquals(
"silence must be reported as no tone, not as a zero shift",
CwShiftDecider.Outcome.NO_TONE, silent.outcome
)
assertEquals(
"silence must not change the shift",
established.shiftHz, silent.shiftHz, 0f
)
assertFalse("a silent window is not a change", silent.changed)
assertEquals(
"the decider's state must still hold the shift",
established.shiftHz, decider.shiftHz, 0f
)
}
@Test
fun `a run of silence does not erode the shift`() {
val decider = CwShiftDecider()
val established = feed(decider, steadyTone(1400.0)).shiftHz
repeat(8) { i ->
val decision = feed(decider, noise(seed = i + 2))
assertEquals(
"silent window $i changed the shift",
established, decision.shiftHz, 0f
)
}
assertEquals(established, decider.shiftHz, 0f)
assertNotNull("the anchor must survive silence", decider.anchorToneHz)
}
// --- Mutants (b) and (c): hysteresis anchored on the tone ----------------------
@Test
fun `an estimate hopping across the window edge does not re-shift`() {
// 1200.0 Hz is inside the window (shift 0); 1212.5 Hz, one scan bin away, is
// outside (a large shift). A shift-space comparison lapses here because one side
// is zero, which is exactly where the jump is largest.
val decider = CwShiftDecider()
val first = feed(decider, steadyTone(1212.5))
assertEquals(CwShiftDecider.Outcome.SHIFTED, first.outcome)
val hop = feed(decider, steadyTone(1200.0))
assertEquals(
"a one-bin hop back across the edge must be absorbed",
CwShiftDecider.Outcome.WITHIN_HYSTERESIS, hop.outcome
)
assertEquals("the shift must not move", first.shiftHz, hop.shiftHz, 0f)
assertFalse(hop.changed)
}
@Test
fun `the anchor is set from the tone that produced the shift`() {
val decider = CwShiftDecider()
assertNull("no anchor before the first detection", decider.anchorToneHz)
feed(decider, steadyTone(1400.0))
assertEquals(
"the anchor must be the detected tone",
1400.0, decider.anchorToneHz!!.toDouble(), 25.0
)
// An in-window tone must anchor too, otherwise a tone drifting from inside the
// window to outside would be measured against a stale reference.
feed(decider, steadyTone(700.0))
assertEquals(
"an in-window tone must also become the anchor",
700.0, decider.anchorToneHz!!.toDouble(), 25.0
)
assertEquals("an in-window tone needs no shift", 0f, decider.shiftHz, 0f)
}
@Test
fun `hysteresis is measured against the anchor, not the previous estimate`() {
// Walk in 25 Hz steps: each step is under the 40 Hz margin, so a comparison
// against the previous estimate would never fire. Anchored, the shift updates
// once the accumulated move clears the margin.
val decider = CwShiftDecider()
feed(decider, steadyTone(1300.0))
val anchorAtStart = decider.anchorToneHz!!
var tone = 1325.0
var updates = 0
while (tone <= 1450.0) {
if (feed(decider, steadyTone(tone)).changed) updates++
tone += 25.0
}
assertTrue(
"accumulated drift must eventually re-shift; anchor started at $anchorAtStart " +
"and the shift updated $updates times",
updates >= 1
)
}
// --- Mutant (d): the comparison direction --------------------------------------
@Test
fun `a large retune is followed while small moves are absorbed`() {
val decider = CwShiftDecider()
val before = feed(decider, steadyTone(1400.0)).shiftHz
// Well inside the margin: must be absorbed.
val small = feed(decider, steadyTone(1412.5))
assertEquals(CwShiftDecider.Outcome.WITHIN_HYSTERESIS, small.outcome)
assertEquals(before, small.shiftHz, 0f)
// Well beyond it: must be followed. An inverted comparison would absorb this and
// react to the small move instead.
val large = feed(decider, steadyTone(1000.0))
assertTrue(
"a 400 Hz retune must change the shift (was $before, now ${large.shiftHz})",
large.changed
)
assertEquals(
"a 1000 Hz tone is inside the window, so no shift is needed",
CwShiftDecider.Outcome.NO_SHIFT_NEEDED, large.outcome
)
assertEquals(0f, large.shiftHz, 0f)
}
@Test
fun `an edge tone settles instead of thrashing`() {
val decider = CwShiftDecider()
var changes = 0
// Estimates hopping around the 1200 Hz edge, the worst case for a shift-space rule.
val hops = listOf(1200.0, 1212.5, 1200.0, 1187.5, 1212.5, 1200.0, 1225.0, 1200.0)
repeat(4) {
for (hz in hops) {
if (feed(decider, steadyTone(hz)).changed) changes++
}
}
assertTrue(
"an edge tone must settle; the shift changed $changes times in ${hops.size * 4} detections",
changes <= 3
)
}
// --- Drift and state consistency ----------------------------------------------
@Test
fun `slow drift keeps the shifted tone inside the model window`() {
val decider = CwShiftDecider()
var tone = 1300.0
var worstOffset = 0.0
while (tone <= 1550.0) {
val decision = feed(decider, steadyTone(tone))
val landed = tone + decision.shiftHz
worstOffset = maxOf(worstOffset, abs(landed - CwToneShifter.TARGET_HZ))
assertTrue(
"a ${tone}Hz tone landed at ${landed}Hz, outside the model window",
CwToneShifter.isInsideWindow(landed.toFloat())
)
tone += 12.5
}
assertTrue(
"staleness must stay near the margin, worst offset was $worstOffset Hz",
worstOffset <= hysteresisHz + 12.5
)
}
@Test
fun `reset clears both the shift and the anchor together`() {
val decider = CwShiftDecider()
feed(decider, steadyTone(1400.0))
assertTrue(decider.shiftHz != 0f)
assertNotNull(decider.anchorToneHz)
decider.reset()
assertEquals("reset must clear the shift", 0f, decider.shiftHz, 0f)
assertNull("reset must clear the anchor", decider.anchorToneHz)
// After a reset the next tone must be acted on rather than absorbed.
val decision = feed(decider, steadyTone(1400.0))
assertEquals(CwShiftDecider.Outcome.SHIFTED, decision.outcome)
assertTrue(decision.changed)
}
@Test
fun `a non-zero shift always has an anchor`() {
// An inconsistent pair would make hysteresis behave differently depending on how
// the state was reached, so pin the invariant across a mixed sequence.
val decider = CwShiftDecider()
val sequence = listOf(
steadyTone(1400.0), noise(), steadyTone(1412.5), steadyTone(300.0),
noise(seed = 5), steadyTone(700.0), steadyTone(1500.0), noise(seed = 9)
)
for ((index, audio) in sequence.withIndex()) {
feed(decider, audio)
if (decider.shiftHz != 0f) {
assertNotNull(
"step $index left a shift of ${decider.shiftHz}Hz with no anchor",
decider.anchorToneHz
)
}
}
}
@Test
fun `shift always lands the tone on the target`() {
for (hz in listOf(150.0, 250.0, 300.0, 1250.0, 1400.0, 1500.0)) {
val decider = CwShiftDecider()
val decision = feed(decider, steadyTone(hz))
assertEquals(
"a ${hz}Hz tone must be shifted to the window centre",
CwToneShifter.TARGET_HZ, hz + decision.shiftHz, 30.0
)
}
}
@Test
fun `in-window tones are never shifted`() {
for (hz in listOf(400.0, 500.0, 800.0, 1100.0, 1200.0)) {
val decider = CwShiftDecider()
val decision = feed(decider, steadyTone(hz))
assertEquals(
"a ${hz}Hz tone is inside the window and must not be shifted",
CwShiftDecider.Outcome.NO_SHIFT_NEEDED, decision.outcome
)
assertEquals(0f, decision.shiftHz, 0f)
}
}
}
core/domain/src/test/java/com/rtbishop/look4sat/core/domain/cw/CwToneShiftSignalTest.kt
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package com.rtbishop.look4sat.core.domain.cw
import org.junit.Assert.assertEquals
import org.junit.Assert.assertNull
import org.junit.Assert.assertTrue
import org.junit.Test
import kotlin.math.PI
import kotlin.math.abs
import kotlin.math.sin
import kotlin.random.Random
/**
* Signal-level properties of the shifter: the range the spectrogram expects, the
* detector's threshold trade-off, and behaviour on inputs a phone mic can really produce.
*
* The decision rule that consumes these estimates is covered by [CwShiftDeciderTest].
*/
class CwToneShiftSignalTest {
private val sampleRate = CwDeepSpectrogram.SAMPLE_RATE
/** Keyed CW: gated tone with noise, 60 ms on / 30 ms off, roughly 20 WPM. */
private fun keyedTone(hz: Double, samples: Int = 1280, seed: Int = 1, noise: Double = 0.02): FloatArray {
val random = Random(seed)
val period = sampleRate * 90 / 1000
return FloatArray(samples) { i ->
val gate = if (i % period < sampleRate * 60 / 1000) 1.0 else 0.0
(gate * sin(2.0 * PI * hz * i / sampleRate) +
(random.nextDouble() - 0.5) * 2 * noise).toFloat()
}
}
private fun noiseOnly(samples: Int = 1280, seed: Int = 2, level: Double = 1.0): FloatArray {
val random = Random(seed)
return FloatArray(samples) { ((random.nextDouble() - 0.5) * 2 * level).toFloat() }
}
/**
* The prominence threshold sits between two measured populations and both sides
* matter. Too low and noise is mistaken for a tone, which moves a good signal out of
* the model's range; too high and copyable weak signals are never shifted, which is
* the very failure the feature exists to prevent.
*/
@Test
fun `prominence threshold rejects noise without rejecting weak signals`() {
var falsePositives = 0
repeat(20) { seed ->
if (CwToneShifter.detectToneHz(noiseOnly(seed = seed + 500), sampleRate) != null) {
falsePositives++
}
}
assertEquals("noise must never be reported as a tone", 0, falsePositives)
// Noise at 0.7 against a unit-amplitude tone is roughly 3 dB SNR: audible,
// decodable, and the region an over-tight threshold silently discards.
for (hz in listOf(300.0, 800.0, 1400.0)) {
val detected = CwToneShifter.detectToneHz(keyedTone(hz, noise = 0.7), sampleRate)
assertEquals(
"a weak but usable ${hz}Hz signal must be detected, not rejected as noise",
hz, detected!!.toDouble(), 25.0
)
}
assertTrue(
"MIN_PROMINENCE ${CwToneShifter.MIN_PROMINENCE} must clear the measured noise " +
"ceiling of ~3.4",
CwToneShifter.MIN_PROMINENCE > 3.4
)
assertTrue(
"MIN_PROMINENCE ${CwToneShifter.MIN_PROMINENCE} must not reject weak signals; " +
"keyed CW measures 7.6-9.0 at 0 dB SNR and 5.2-6.7 at -3 dB",
CwToneShifter.MIN_PROMINENCE < 5.2
)
}
/**
* The Hilbert kernel's L1 gain is 2.51, so summing the in-phase and quadrature paths
* overshoots: a full-scale square wave measured 2.35 and even a plain sine 1.05. The
* spectrogram takes log1p of the magnitude, so an overshoot is not fatal, but it
* moves the level away from what the model was trained on.
*/
@Test
fun `shifted output stays within the range the spectrogram expects`() {
val shifter = CwToneShifter.Streaming()
val shiftHz = (CwToneShifter.TARGET_HZ - 1500.0).toFloat()
val square = FloatArray(1280) { if ((it / 8) % 2 == 0) 1f else -1f }
val shiftedSquare = shifter.process(square, shiftHz, sampleRate)
assertTrue(
"a full-scale square wave overshot: peak was ${shiftedSquare.maxOf { abs(it) }}",
shiftedSquare.all { abs(it) <= 1f }
)
shifter.reset()
val sine = FloatArray(1280) { i -> sin(2.0 * PI * 1500.0 * i / sampleRate).toFloat() }
val shiftedSine = shifter.process(sine, shiftHz, sampleRate)
assertTrue(
"a full-scale sine overshot: peak was ${shiftedSine.maxOf { abs(it) }}",
shiftedSine.all { abs(it) <= 1f }
)
// Limiting must not flatten the signal away: the tone still has to be there.
val detected = CwToneShifter.detectToneHz(shiftedSine, sampleRate)
assertEquals(
"limiting must preserve the shifted tone",
CwToneShifter.TARGET_HZ, detected!!.toDouble(), 30.0
)
}
@Test
fun `stateless shift also stays in range`() {
val square = FloatArray(1280) { if ((it / 8) % 2 == 0) 1f else -1f }
val shifted = CwToneShifter.shift(square, -700f, sampleRate)
assertTrue(
"peak was ${shifted.maxOf { abs(it) }}",
shifted.all { abs(it) <= 1f }
)
}
@Test
fun `detector tolerates pathological input`() {
// A wrong shift moves a perfectly good tone out of range, so a bogus estimate is
// worse than none: these inputs must produce the right tone or nothing at all.
for (offset in listOf(0.5, 1.0, 5.0, 50.0)) {
val biased = FloatArray(1280) { i ->
(offset + sin(2.0 * PI * 800.0 * i / sampleRate)).toFloat()
}
val detected = CwToneShifter.detectToneHz(biased, sampleRate)
assertEquals(
"a DC offset of $offset must not hide the tone",
800.0, detected!!.toDouble(), 25.0
)
}
assertNull(
"all zeros must not report a tone",
CwToneShifter.detectToneHz(FloatArray(1280), sampleRate)
)
for (size in listOf(0, 1, 2, 63)) {
assertNull(
"a $size-sample buffer is too short to detect from",
CwToneShifter.detectToneHz(FloatArray(size), sampleRate)
)
}
val withNan = FloatArray(1280) { i ->
if (i == 640) Float.NaN else sin(2.0 * PI * 800.0 * i / sampleRate).toFloat()
}
assertNull(
"a NaN sample must yield no tone rather than a garbage shift",
CwToneShifter.detectToneHz(withNan, sampleRate)
)
// Clipping must not let a harmonic outrank the fundamental.
for (drive in listOf(1.0, 4.0, 20.0, 200.0)) {
val clipped = FloatArray(1280) { i ->
(drive * sin(2.0 * PI * 500.0 * i / sampleRate)).coerceIn(-1.0, 1.0).toFloat()
}
val detected = CwToneShifter.detectToneHz(clipped, sampleRate)
assertEquals(
"at ${drive}x drive the fundamental must still win",
500.0, detected!!.toDouble(), 25.0
)
}
}
}
core/domain/src/test/java/com/rtbishop/look4sat/core/domain/cw/CwToneShifterStreamingTest.kt
+240
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package com.rtbishop.look4sat.core.domain.cw
import org.junit.Assert.assertEquals
import org.junit.Assert.assertSame
import org.junit.Assert.assertTrue
import org.junit.Test
import kotlin.math.PI
import kotlin.math.abs
import kotlin.math.sin
import kotlin.math.sqrt
/**
* [CwToneShifter.Streaming] exists because the decoder shifts one ~320-sample chunk at
* a time. Shifting each chunk in isolation makes the Hilbert FIR convolve against zeros
* at both edges, which distorted 62 of every 320 samples and inflated envelope ripple
* to 8.7x the whole-buffer baseline. These tests fail if that state handling regresses.
*/
class CwToneShifterStreamingTest {
private val sampleRate = CwDeepSpectrogram.SAMPLE_RATE
/** ~100 ms of audio once resampled to 3200 Hz, matching what the decoder receives. */
private val chunkSize = 320
private fun continuousTone(hz: Double, samples: Int): FloatArray =
FloatArray(samples) { i -> sin(2.0 * PI * hz * i / sampleRate).toFloat() }
/** RMS envelope; a steady tone must produce a flat one. */
private fun envelope(audio: FloatArray, window: Int = 48): List<Double> {
val out = mutableListOf<Double>()
var i = 0
while (i + window <= audio.size) {
var sum = 0.0
for (j in i until i + window) sum += audio[j].toDouble() * audio[j]
out += sqrt(sum / window)
i += window / 2
}
return out
}
/** Coefficient of variation of the envelope, as a percentage. */
private fun ripple(audio: FloatArray, skip: Int = 0): Double {
val env = envelope(audio.copyOfRange(skip, audio.size))
val mean = env.average()
if (mean == 0.0) return 0.0
val variance = env.sumOf { (it - mean) * (it - mean) } / env.size
return sqrt(variance) / mean * 100.0
}
private fun processInChunks(audio: FloatArray, shiftHz: Float): FloatArray {
val shifter = CwToneShifter.Streaming()
val out = FloatArray(audio.size)
var offset = 0
while (offset < audio.size) {
val end = minOf(offset + chunkSize, audio.size)
val chunk = audio.copyOfRange(offset, end)
shifter.process(chunk, shiftHz, sampleRate).copyInto(out, offset)
offset = end
}
return out
}
@Test
fun `chunked streaming keeps a steady tone flat`() {
val audio = continuousTone(1500.0, chunkSize * 20)
val shiftHz = (CwToneShifter.TARGET_HZ - 1500.0).toFloat()
val streamed = processInChunks(audio, shiftHz)
// Skip the filter's start-up transient: with no history the first taps are cold.
val skip = 128
val streamedRipple = ripple(streamed, skip)
// Absolute, not relative to the whole-buffer figure: clamping pins a full-scale
// tone at exactly 1.0, so the whole-buffer ripple collapses to ~0.001% and any
// ratio against it explodes. What matters is the absolute number - a 20 WPM dot
// spans 192 samples, so sub-2% envelope ripple cannot move a keying decision.
// Measured 0.79% with state carried across chunks; dropping the filter history
// takes it to several percent, and dropping the phase far higher.
assertTrue(
"streaming envelope ripple ${streamedRipple}% is too high; chunk-edge " +
"filter state or mixer phase is not being carried",
streamedRipple < 2.0
)
}
/**
* Streaming must match whole-buffer shifting everywhere except the last
* [lookahead] samples of each chunk.
*
* That exception is causal, not a defect: producing output sample `i` needs input
* up to `i + HILBERT_DELAY`, which for the tail of a chunk has not been captured
* yet. A whole-buffer call sees those samples; a live stream cannot. Measured, the
* divergence is confined to the final 3 samples of each 320-sample chunk (under 1%
* of the audio) and vanishes immediately after the boundary, which is why the
* decoder accepts it rather than delaying output by 10 ms.
*/
@Test
fun `chunked output matches whole-buffer output except the causal tail`() {
val audio = continuousTone(1500.0, chunkSize * 12)
val shiftHz = (CwToneShifter.TARGET_HZ - 1500.0).toFloat()
val whole = CwToneShifter.shift(audio, shiftHz, sampleRate)
val streamed = processInChunks(audio, shiftHz)
val lookahead = 32 // HILBERT_TAPS / 2, rounded up
val skip = 128 // filter start-up transient
var worstInterior = 0.0
var worstTail = 0.0
for (i in skip until audio.size) {
val distanceToBoundary = chunkSize - (i % chunkSize)
val delta = abs(whole[i] - streamed[i]).toDouble()
if (distanceToBoundary <= lookahead) {
worstTail = maxOf(worstTail, delta)
} else {
worstInterior = maxOf(worstInterior, delta)
}
}
assertTrue(
"away from chunk tails the two must agree; worst divergence was " +
"$worstInterior, so filter history or mixer phase is not being carried",
worstInterior < 0.01
)
// The tail is allowed to differ, but not wildly: a broken implementation would
// diverge by the full signal amplitude rather than a fraction of it.
assertTrue(
"chunk-tail divergence $worstTail exceeds the causal lookahead budget",
worstTail < 0.5
)
}
@Test
fun `shifted chunks land on the target frequency`() {
val audio = continuousTone(1500.0, chunkSize * 16)
val shiftHz = (CwToneShifter.TARGET_HZ - 1500.0).toFloat()
val streamed = processInChunks(audio, shiftHz)
val detected = CwToneShifter.detectToneHz(streamed, sampleRate)
assertEquals(
"streamed audio must end up at the target pitch",
CwToneShifter.TARGET_HZ, detected!!.toDouble(), 30.0
)
}
@Test
fun `zero shift passes chunks through untouched`() {
val shifter = CwToneShifter.Streaming()
val chunk = continuousTone(800.0, chunkSize)
assertSame(
"a zero shift must not copy or alter the chunk",
chunk, shifter.process(chunk, 0f, sampleRate)
)
}
@Test
fun `history survives a run of zero-shift chunks`() {
// Feeding audio while disabled must still fill the history, so that enabling
// the shift mid-stream does not convolve against leftover silence.
val shifter = CwToneShifter.Streaming()
val audio = continuousTone(1500.0, chunkSize * 6)
val shiftHz = (CwToneShifter.TARGET_HZ - 1500.0).toFloat()
// First three chunks with no shift, then start shifting.
var offset = 0
repeat(3) {
shifter.process(audio.copyOfRange(offset, offset + chunkSize), 0f, sampleRate)
offset += chunkSize
}
val firstShifted = shifter.process(
audio.copyOfRange(offset, offset + chunkSize), shiftHz, sampleRate
)
// With history primed the very first shifted chunk should already be clean;
// a cold filter would show a large amplitude dip at its start.
val head = envelope(firstShifted.copyOfRange(0, 96)).average()
val tail = envelope(firstShifted.copyOfRange(firstShifted.size - 96, firstShifted.size)).average()
assertTrue(
"first shifted chunk starts at $head but settles at $tail; history was not kept",
head > tail * 0.7
)
}
@Test
fun `reset clears state so the next chunk starts cold`() {
val shifter = CwToneShifter.Streaming()
val audio = continuousTone(1500.0, chunkSize * 4)
val shiftHz = (CwToneShifter.TARGET_HZ - 1500.0).toFloat()
var offset = 0
repeat(3) {
shifter.process(audio.copyOfRange(offset, offset + chunkSize), shiftHz, sampleRate)
offset += chunkSize
}
shifter.reset()
val afterReset = shifter.process(
audio.copyOfRange(offset, offset + chunkSize), shiftHz, sampleRate
)
// Cold filter: the leading samples are attenuated relative to the settled tail.
val head = envelope(afterReset.copyOfRange(0, 64)).average()
val tail = envelope(afterReset.copyOfRange(afterReset.size - 64, afterReset.size)).average()
assertTrue(
"reset must clear history, so the head ($head) should be quieter than " +
"the settled tail ($tail)",
head < tail
)
}
@Test
fun `handles chunks larger than the history window`() {
val shifter = CwToneShifter.Streaming()
val big = continuousTone(1500.0, 5000)
val shiftHz = (CwToneShifter.TARGET_HZ - 1500.0).toFloat()
val out = shifter.process(big, shiftHz, sampleRate)
assertEquals(big.size, out.size)
assertTrue("output must be finite", out.all { it.isFinite() })
}
@Test
fun `handles chunks smaller than the history window`() {
val shifter = CwToneShifter.Streaming()
val shiftHz = (CwToneShifter.TARGET_HZ - 1500.0).toFloat()
// 16-sample chunks are far below the 62-sample history; the ring must still work.
val audio = continuousTone(1500.0, 16 * 40)
var offset = 0
val collected = FloatArray(audio.size)
while (offset < audio.size) {
val chunk = audio.copyOfRange(offset, offset + 16)
shifter.process(chunk, shiftHz, sampleRate).copyInto(collected, offset)
offset += 16
}
assertTrue("output must be finite", collected.all { it.isFinite() })
val detected = CwToneShifter.detectToneHz(collected, sampleRate)
assertEquals(
"even tiny chunks must end up at the target pitch",
CwToneShifter.TARGET_HZ, detected!!.toDouble(), 40.0
)
}
}
core/domain/src/test/java/com/rtbishop/look4sat/core/domain/cw/CwToneShifterTest.kt
+209
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package com.rtbishop.look4sat.core.domain.cw
import org.junit.Assert.assertEquals
import org.junit.Assert.assertFalse
import org.junit.Assert.assertNotNull
import org.junit.Assert.assertNull
import org.junit.Assert.assertSame
import org.junit.Assert.assertTrue
import org.junit.Test
import kotlin.math.PI
import kotlin.math.abs
import kotlin.math.cos
import kotlin.math.hypot
import kotlin.math.sin
import kotlin.random.Random
/**
* The shifter exists so pitches outside the model's 400-1200 Hz window can still be
* decoded. These tests pin the two properties that make it safe to enable:
* in-window audio is returned untouched, and shifted audio contains one clean tone.
*/
class CwToneShifterTest {
private val sampleRate = CwDeepSpectrogram.SAMPLE_RATE
/** Keyed CW-like tone: a gated sine with smooth edges, plus noise. */
private fun cwTone(hz: Double, samples: Int = 1600, noise: Double = 0.02): FloatArray {
val random = Random(42)
return FloatArray(samples) { i ->
// Gate on for 60 ms, off for 30 ms, repeating - roughly 20 WPM keying.
val cyclePos = (i % (sampleRate * 90 / 1000))
val gate = if (cyclePos < sampleRate * 60 / 1000) 1.0 else 0.0
val value = gate * sin(2.0 * PI * hz * i / sampleRate)
(value + (random.nextDouble() - 0.5) * 2 * noise).toFloat()
}
}
/** Relative magnitude at [hz] using a single-bin DFT with a Hann window. */
private fun magnitudeAt(audio: FloatArray, hz: Double): Double {
var real = 0.0
var imag = 0.0
val omega = 2.0 * PI * hz / sampleRate
for (i in audio.indices) {
val window = 0.5 - 0.5 * cos(2.0 * PI * i / (audio.size - 1))
val value = audio[i] * window
real += value * cos(omega * i)
imag -= value * sin(omega * i)
}
return hypot(real, imag) / audio.size
}
/** Scan 100 Hz..Nyquist and return the strongest bin plus everything above a ratio. */
private fun peaks(audio: FloatArray, minRatio: Double = 0.3): Pair<Double, List<Double>> {
val magnitudes = mutableListOf<Pair<Double, Double>>()
var hz = 100.0
while (hz <= sampleRate / 2.0) {
magnitudes += hz to magnitudeAt(audio, hz)
hz += 12.5
}
val strongest = magnitudes.maxByOrNull { it.second }!!
val others = magnitudes
.filter { it.first != strongest.first && it.second >= strongest.second * minRatio }
// Collapse adjacent bins of the same lobe; only distinct tones matter.
.filter { abs(it.first - strongest.first) > 50.0 }
.map { it.first }
return strongest.first to others
}
@Test
fun `detects tones across the audible range`() {
for (tone in listOf(150.0, 300.0, 500.0, 700.0, 800.0, 1100.0, 1300.0, 1500.0)) {
val detected = CwToneShifter.detectToneHz(cwTone(tone), sampleRate)
assertNotNull("no tone detected at $tone Hz", detected)
assertEquals("detected pitch off at $tone Hz", tone, detected!!.toDouble(), 25.0)
}
}
@Test
fun `reports no tone for noise`() {
val random = Random(7)
val noise = FloatArray(1600) { ((random.nextDouble() - 0.5) * 2).toFloat() }
assertNull("noise must not be mistaken for a tone", CwToneShifter.detectToneHz(noise, sampleRate))
}
@Test
fun `in-window tones are returned untouched`() {
for (tone in listOf(400.0, 500.0, 700.0, 800.0, 1100.0, 1200.0)) {
val audio = cwTone(tone)
val (result, analysis) = CwToneShifter.shiftIfOutsideWindow(audio, sampleRate)
assertFalse("$tone Hz is inside the window, must not shift", analysis.needsShift)
assertEquals("no shift expected at $tone Hz", 0f, analysis.shiftHz, 0f)
// Same instance: the caller's array must not even be copied.
assertSame("in-window audio must be passed through", audio, result)
}
}
/**
* The decoder runs this scan even with shifting switched off, purely to tell the
* operator why nothing is decoding. That only works if the scan reaches past the
* model's window: the spectrogram's own pitch readout cannot, being confined to the
* window by construction, and it reports edge leakage as though it were the tone.
*/
@Test
fun `the scan reports tones the model window excludes`() {
for (tone in listOf(120.0, 250.0, 1400.0, 1500.0)) {
val analysis = CwToneShifter.analyse(cwTone(tone), sampleRate)
val reported = analysis.toneHz
assertNotNull("$tone Hz went undetected, so the UI has nothing to report", reported)
assertEquals("$tone Hz was misreported", tone, reported!!.toDouble(), 30.0)
assertFalse(
"$tone Hz must read as outside the window",
CwToneShifter.isInsideWindow(reported)
)
}
}
/**
* The waterfall draws a marker at [CwToneShifter.TARGET_HZ] to show the operator where
* a shifted tone is being delivered. Moving the target outside the model's window, or
* moving the window off the target, would leave that marker pointing at a frequency
* nothing arrives at — and nothing else in the build would object.
*/
@Test
fun `the shift target sits inside the model window, clear of its edges`() {
assertTrue(
"TARGET_HZ ${CwToneShifter.TARGET_HZ} is outside the model window " +
"${CwDeepSpectrogram.MIN_FREQ_HZ}-${CwDeepSpectrogram.MAX_FREQ_HZ} Hz",
CwToneShifter.isInsideWindow(CwToneShifter.TARGET_HZ.toFloat())
)
// Clear of the edges by a decent margin, so a tone landing a little off target
// still lands inside: a target hugging an edge would make the shift pointless.
val margin = (CwDeepSpectrogram.MAX_FREQ_HZ - CwDeepSpectrogram.MIN_FREQ_HZ) / 4
assertTrue(
"TARGET_HZ ${CwToneShifter.TARGET_HZ} is within $margin Hz of a window edge",
CwToneShifter.TARGET_HZ >= CwDeepSpectrogram.MIN_FREQ_HZ + margin &&
CwToneShifter.TARGET_HZ <= CwDeepSpectrogram.MAX_FREQ_HZ - margin
)
}
@Test
fun `out-of-window tones move to the target with no competing tone`() {
for (tone in listOf(150.0, 200.0, 250.0, 300.0, 350.0, 1300.0, 1400.0, 1500.0)) {
val audio = cwTone(tone)
val (result, analysis) = CwToneShifter.shiftIfOutsideWindow(audio, sampleRate)
assertTrue("$tone Hz is outside the window, must shift", analysis.needsShift)
val (strongest, competing) = peaks(result)
assertEquals(
"$tone Hz did not land on the target",
CwToneShifter.TARGET_HZ, strongest, 30.0
)
assertTrue(
"$tone Hz left a competing tone at $competing (single-sideband mixing failed)",
competing.isEmpty()
)
assertTrue(
"shifted tone must land inside the model window",
CwToneShifter.isInsideWindow(strongest.toFloat())
)
}
}
@Test
fun `shift with zero offset returns the same array`() {
val audio = cwTone(800.0)
assertSame(audio, CwToneShifter.shift(audio, 0f, sampleRate))
}
@Test
fun `shift preserves length and stays finite`() {
val audio = cwTone(1500.0)
val shifted = CwToneShifter.shift(audio, -700f, sampleRate)
assertEquals("length must be preserved", audio.size, shifted.size)
assertTrue("output must be finite", shifted.all { it.isFinite() })
}
@Test
fun `empty input is handled`() {
val empty = FloatArray(0)
assertSame(empty, CwToneShifter.shift(empty, -700f, sampleRate))
assertNull(CwToneShifter.detectToneHz(empty, sampleRate))
val (result, analysis) = CwToneShifter.shiftIfOutsideWindow(empty, sampleRate)
assertSame(empty, result)
assertFalse(analysis.needsShift)
}
@Test
fun `shifted audio survives the spectrogram with energy inside the window`() {
// End-to-end: a 1500 Hz tone is invisible to the model, the shifted one is not.
val audio = cwTone(1500.0, samples = 3200)
val rawSpectrogram = CwDeepSpectrogram.compute(audio)
val rawEnergy = rawSpectrogram.sumOf { frame -> frame.sumOf { it.toDouble() } }
val (shifted, analysis) = CwToneShifter.shiftIfOutsideWindow(audio, sampleRate)
assertTrue(analysis.needsShift)
val shiftedSpectrogram = CwDeepSpectrogram.compute(shifted)
val shiftedEnergy = shiftedSpectrogram.sumOf { frame -> frame.sumOf { it.toDouble() } }
assertTrue(
"shifting must put more energy in the model window (raw=$rawEnergy shifted=$shiftedEnergy)",
shiftedEnergy > rawEnergy * 1.5
)
assertEquals(
"bin count must stay compatible with the model",
CwDeepSpectrogram.FREQUENCY_BINS, shiftedSpectrogram[0].size
)
}
}
core/domain/src/test/java/com/rtbishop/look4sat/core/domain/navigation/MenuLayoutTest.kt
+154
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/*
* Look4Sat. Amateur radio satellite tracker and pass predictor.
* Copyright (C) 2019-2026 Arty Bishop and contributors.
*
* This program is free software: you can redistribute it and/or modify
* it under the terms of the GNU General Public License as published by
* the Free Software Foundation, either version 3 of the License, or
* (at your option) any later version.
*
* This program is distributed in the hope that it will be useful,
* but WITHOUT ANY WARRANTY; without even the implied warranty of
* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
* GNU General Public License for more details.
*
* You should have received a copy of the GNU General Public License
* along with this program. If not, see <https://www.gnu.org/licenses/>.
*/
package com.rtbishop.look4sat.core.domain.navigation
import org.junit.Assert.assertEquals
import org.junit.Assert.assertTrue
import org.junit.Test
/**
* Menu layout rules. Every case here is a bug that shipped at least once, so
* treat a failure as a regression rather than a spec question.
*/
class MenuLayoutTest {
private val all = listOf(
"Satellites", "Passes", "Radar", "Mutual", "Roaming",
"CwDecode", "WavelogLog", "AMSAT", "Map", "Settings"
)
private fun layout(
screenOrder: List<String> = emptyList(),
subMenuOrder: List<String> = emptyList(),
hidden: List<String> = emptyList()
) = MenuLayout.resolve(all, screenOrder, subMenuOrder, hidden)
@Test
fun defaultsPutFivePagesOnTheBarAndTheRestBehindMore() {
val l = layout()
assertEquals(listOf("Satellites", "Passes", "Radar", "Map", "Settings"), l.mainIds)
assertEquals(listOf("Mutual", "Roaming", "CwDecode", "WavelogLog", "AMSAT"), l.moreIds)
}
@Test
fun settingsIsAlwaysReachable() {
// Moving any page onto the bar used to push Settings out of BOTH menus,
// permanently locking the user out of the settings page.
for (page in listOf("Mutual", "Roaming", "CwDecode", "WavelogLog", "AMSAT")) {
val moved = MenuLayout.moveToMain(page, all, emptyList(), emptyList())
val l = layout(moved.screenOrder, moved.subMenuOrder)
assertTrue(
"moving $page hid Settings: main=${l.mainIds} more=${l.moreIds}",
"Settings" in l.mainIds || "Settings" in l.moreIds
)
}
}
@Test
fun movingAmsatToMainActuallyTakesEffect() {
// The legacy migration re-appended AMSAT to the sub-menu unconditionally,
// silently undoing the user's choice.
val moved = MenuLayout.moveToMain("AMSAT", all, emptyList(), emptyList())
val l = layout(moved.screenOrder, moved.subMenuOrder)
assertTrue("AMSAT missing from the bar: ${l.mainIds}", "AMSAT" in l.mainIds)
assertTrue("AMSAT still behind More: ${l.moreIds}", "AMSAT" !in l.moreIds)
}
@Test
fun movingWavelogLogToMainActuallyTakesEffect() {
val moved = MenuLayout.moveToMain("WavelogLog", all, emptyList(), emptyList())
val l = layout(moved.screenOrder, moved.subMenuOrder)
assertTrue("WavelogLog missing from the bar: ${l.mainIds}", "WavelogLog" in l.mainIds)
}
@Test
fun newPagesUnknownToPersistedOrderDefaultToTheMoreMenu() {
// Upgrading from a build that predates AMSAT and WavelogLog: neither list
// mentions them, so both must land behind More rather than vanishing.
val l = layout(
screenOrder = listOf("Satellites", "Passes", "Radar", "Map", "Settings"),
subMenuOrder = listOf("Mutual", "Roaming", "CwDecode")
)
assertTrue("AMSAT should land behind More", "AMSAT" in l.moreIds)
assertTrue("WavelogLog should land behind More", "WavelogLog" in l.moreIds)
}
@Test
fun everyVisiblePageIsReachableFromSomeMenu() {
// Pages beyond the five slots used to vanish instead of overflowing.
val l = layout(
screenOrder = listOf("Satellites", "Passes", "Radar", "Mutual", "Roaming", "Map", "Settings"),
subMenuOrder = listOf("CwDecode", "WavelogLog", "AMSAT")
)
assertEquals("every page must be reachable", all.toSet(), (l.mainIds + l.moreIds).toSet())
}
@Test
fun hiddenPagesAppearInNeitherMenu() {
val l = layout(hidden = listOf("Radar", "Map"))
assertTrue("Radar" !in l.mainIds && "Radar" !in l.moreIds)
assertTrue("Map" !in l.mainIds && "Map" !in l.moreIds)
}
@Test
fun settingsCannotBeHidden() {
val l = layout(hidden = listOf("Settings"))
assertTrue("Settings" in l.mainIds || "Settings" in l.moreIds)
}
@Test
fun theBarNeverExceedsFiveSlots() {
val l = layout(screenOrder = all)
assertTrue("bar had ${l.mainIds.size} slots: ${l.mainIds}", l.mainIds.size <= MenuLayout.MAIN_SLOTS)
}
@Test
fun movingAPageOutOfTheBarPutsItBehindMore() {
val moved = MenuLayout.moveToMore("Radar", all, emptyList(), emptyList())
val l = layout(moved.screenOrder, moved.subMenuOrder)
assertTrue("Radar" in l.moreIds)
assertTrue("Radar" !in l.mainIds)
}
@Test
fun settingsCannotBeMovedOffTheBar() {
val moved = MenuLayout.moveToMore("Settings", all, emptyList(), emptyList())
val l = layout(moved.screenOrder, moved.subMenuOrder)
assertTrue("Settings" in l.mainIds || "Settings" in l.moreIds)
}
@Test
fun resolveIsStableWhenAppliedTwice() {
// Persisting what resolve() produced must not change the outcome, or the
// settings list and the bar drift apart on the next recomposition.
val first = layout()
val second = layout(first.mainIds, first.moreIds)
assertEquals(first.mainIds, second.mainIds)
assertEquals(first.moreIds, second.moreIds)
}
@Test
fun movingAPageOntoAFullBarEvictsAnotherPageIntoMore() {
// The bar starts full (5 including Settings), so making room must push an
// existing page into More instead of dropping it.
val moved = MenuLayout.moveToMain("CwDecode", all, emptyList(), emptyList())
val l = layout(moved.screenOrder, moved.subMenuOrder)
assertTrue("CwDecode" in l.mainIds)
assertEquals("nothing may be lost", all.toSet(), (l.mainIds + l.moreIds).toSet())
}
}
core/domain/src/test/java/com/rtbishop/look4sat/core/domain/predict/CelestialComputerTest.kt
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/*
* Look4Sat. Amateur radio satellite tracker and pass predictor.
* Copyright (C) 2019-2026 Arty Bishop and contributors.
*
* This program is free software: you can redistribute it and/or modify
* it under the terms of the GNU General Public License as published by
* the Free Software Foundation, either version 3 of the License, or
* (at your option) any later version.
*
* This program is distributed in the hope that it will be useful,
* but WITHOUT ANY WARRANTY; without even the implied warranty of
* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
* GNU General Public License for more details.
*
* You should have received a copy of the GNU General Public License
* along with this program. If not, see <https://www.gnu.org/licenses/>.
*/
package com.rtbishop.look4sat.core.domain.predict
import org.junit.Assert.assertEquals
import org.junit.Assert.assertTrue
import org.junit.Test
import java.time.Instant
import kotlin.math.abs
class CelestialComputerTest {
private val observer = GeoPos(22.314066, 108.706575)
private fun subLunarLongitude(gha: Double) = if (gha <= 180.0) -gha else 360.0 - gha
@Test
fun `moon hour angle stays within one revolution`() {
// Sample a full synodic month at 37-minute steps so the sweep crosses
// every hour-angle quadrant many times over.
var timeMillis = 1786060800_000L // 2026-08-07T00:00:00Z
val stepMillis = 37 * 60 * 1000L
val endMillis = timeMillis + 30L * 86400_000L
var samples = 0
while (timeMillis < endMillis) {
val gha = CelestialComputer.getMoonPosition(observer, timeMillis).gha
assertTrue("gha=$gha out of 0..360 at $timeMillis", gha >= 0.0 && gha < 360.0)
val longitude = subLunarLongitude(gha)
assertTrue(
"sub-lunar longitude=$longitude out of -180..180 at $timeMillis",
longitude >= -180.0 && longitude <= 180.0
)
samples++
timeMillis += stepMillis
}
assertTrue("expected a meaningful sweep, got $samples samples", samples > 1000)
}
private data class RiseSetCase(
val name: String,
val observer: GeoPos,
val startIso: String
)
@Test
fun `findSunRiseSet returns distinct sunrise and sunset for representative locations`() {
val cases = listOf(
RiseSetCase("Equator at March equinox", GeoPos(0.0, 0.0), "2026-03-20T00:00:00Z"),
RiseSetCase("Equator at September equinox", GeoPos(0.0, 0.0), "2026-09-23T00:00:00Z"),
RiseSetCase("Sydney winter", GeoPos(-33.8688, 151.2093), "2026-06-21T00:00:00Z"),
RiseSetCase("Buenos Aires winter", GeoPos(-34.6037, -58.3816), "2026-06-21T00:00:00Z"),
RiseSetCase("Cape Town winter", GeoPos(-33.9249, 18.4241), "2026-06-21T00:00:00Z"),
RiseSetCase("London summer", GeoPos(51.5074, -0.1278), "2026-06-21T00:00:00Z")
)
cases.forEach { testCase ->
val result = CelestialComputer.findSunRiseSet(testCase.observer, testCase.startIso.toMillis())
val daylightDuration = result.setTimeMillis - result.riseTimeMillis
assertTrue("${testCase.name}: sunrise should be non-zero", result.riseTimeMillis > 0L)
assertTrue("${testCase.name}: sunset should be non-zero", result.setTimeMillis > 0L)
assertTrue("${testCase.name}: sunset should be after sunrise", result.setTimeMillis > result.riseTimeMillis)
assertTrue("${testCase.name}: daylight duration should be longer than 1 hour", daylightDuration > HOUR_MILLIS)
assertTrue("${testCase.name}: daylight duration should be shorter than 24 hours", daylightDuration < DAY_MILLIS)
val riseElevation = CelestialComputer.getSunPosition(testCase.observer, result.riseTimeMillis).elevation
val setElevation = CelestialComputer.getSunPosition(testCase.observer, result.setTimeMillis).elevation
assertEquals("${testCase.name}: sunrise should converge near the standard threshold", SUNRISE_SET_THRESHOLD, riseElevation, 0.02)
assertEquals("${testCase.name}: sunset should converge near the standard threshold", SUNRISE_SET_THRESHOLD, setElevation, 0.02)
}
}
@Test
fun `findSunRiseSet does not return the same instant for equinox regression cases`() {
listOf("2026-03-20T00:00:00Z", "2026-09-23T00:00:00Z").forEach { startIso ->
val result = CelestialComputer.findSunRiseSet(GeoPos(0.0, 0.0), startIso.toMillis())
val separationMillis = abs(result.setTimeMillis - result.riseTimeMillis)
assertTrue("$startIso: sunrise and sunset should be separated", separationMillis > HOUR_MILLIS)
}
}
private fun String.toMillis(): Long = Instant.parse(this).toEpochMilli()
private companion object {
private const val SUNRISE_SET_THRESHOLD = -0.8333
private const val HOUR_MILLIS = 60L * 60L * 1000L
private const val DAY_MILLIS = 24L * HOUR_MILLIS
}
}
core/domain/src/test/java/com/rtbishop/look4sat/core/domain/utility/ClipLonTest.kt
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package com.rtbishop.look4sat.core.domain.utility
import org.junit.Assert.assertEquals
import org.junit.Assert.assertFalse
import org.junit.Assert.assertTrue
import org.junit.Test
/**
* clipLon must reduce any longitude into [-180, 180] in bounded time. The old
* while-loop never returned for extreme inputs: Infinity stays Infinity after
* subtracting 360 (infinite loop), and ~1e12 degree values took billions of
* iterations. The modulo rewrite must be bit-equivalent for all finite values.
*/
class ClipLonTest {
private fun reduced(v: Double) = ((v + 180.0) % 360.0 + 360.0) % 360.0 - 180.0
@Test
fun `finite values match the closed interval semantics`() {
// The old loop: subtract/add 360 until within (-180, 180] is not quite
// it either - 180 stays 180, -180 stays -180. So the interval is closed
// on both ends with +180 for positive-boundary hits.
assertEquals(-180.0, clipLon(-180.0), 1e-12)
assertEquals(180.0, clipLon(180.0), 1e-12)
assertEquals(0.0, clipLon(360.0), 1e-12)
assertEquals(180.0, clipLon(540.0), 1e-12)
assertEquals(-180.0, clipLon(-540.0), 1e-12)
assertEquals(-179.999, clipLon(180.001), 1e-9)
assertEquals(179.999, clipLon(-180.001), 1e-9)
}
@Test
fun `modulo rewrite is equivalent to the loop across the domain`() {
// Sweep the same range the old implementation covered in a probe:
// every 0.01 degree from -10000 to 10000 must agree with the reference
// reduction to within 1e-9.
var v = -10000.0
while (v <= 10000.0) {
val reference = clipLonByLoop(v)
assertEquals(reference, clipLon(v), 1e-9)
v += 0.01
}
}
@Test
fun `extreme and non-finite inputs return immediately`() {
// These used to hang the calling thread (Infinity loop) or take seconds.
assertEquals(Double.POSITIVE_INFINITY, clipLon(Double.POSITIVE_INFINITY), 0.0)
assertEquals(Double.NEGATIVE_INFINITY, clipLon(Double.NEGATIVE_INFINITY), 0.0)
assertTrue(clipLon(Double.NaN).isNaN())
assertFalse(clipLon(1e15).isNaN())
assertTrue(clipLon(1e15) in -180.0..180.0)
}
/** The old while-loop implementation, kept as the reference for equivalence. */
private fun clipLonByLoop(longitude: Double): Double {
var result = longitude
while (result < -180.0) result += 360.0
while (result > 180.0) result -= 360.0
return minOf(maxOf(result, -180.0), 180.0)
}
}
core/domain/src/test/java/com/rtbishop/look4sat/core/domain/wavelog/WaveLogApiPayloadTest.kt
+109
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package com.rtbishop.look4sat.core.domain.wavelog
import org.junit.Assert.assertEquals
import org.junit.Assert.assertTrue
import org.junit.Test
import java.util.Locale
/**
* Verifies the WaveLog upload payload frequency/band fields.
*
* Regression: user reported QSOs landing in the 160m band. The v2 JSON
* envelope must carry freq as a MHz string with an "M" suffix so WaveLog's
* parse_frequency() reads it as Hz internally; a bare integer or bare MHz
* value corrupts band derivation.
*/
class WaveLogApiPayloadTest {
// SO-50: uplink 145.850 MHz, downlink 436.795 MHz
private val uplinkHz = 145_850_000L
private val downlinkHz = 436_795_000L
@Test
fun v2_freq_usesMhzStringWithMSuffix() {
val freq = String.format(Locale.ENGLISH, "%.6fM", uplinkHz / 1_000_000.0)
val freqRx = String.format(Locale.ENGLISH, "%.6fM", downlinkHz / 1_000_000.0)
assertEquals("145.850000M", freq)
assertEquals("436.795000M", freqRx)
// WaveLog parse_frequency: "145.850000M" -> 145850000 Hz
val parsedHz = parseLikeWaveLog(freq)
assertEquals(uplinkHz, parsedHz)
}
@Test
fun v1_adif_freq_isBareMhzNumber() {
// v1 ADIF <FREQ> is a bare MHz number per ADIF spec (no unit suffix)
val freq = String.format(Locale.ENGLISH, "%.6f", uplinkHz / 1_000_000.0)
assertEquals("145.850000", freq)
val adifFreq = freq.toDouble() * 1_000_000
assertEquals(uplinkHz.toDouble(), adifFreq, 1.0)
}
@Test
fun v1_adif_preservesSixCharacterGrid() {
val qso = WavelogQso(
id = "test",
timeUtcMs = 0L,
call = "BG7NTA",
mode = "FM",
freqTxHz = uplinkHz,
freqRxHz = downlinkHz,
satName = "SO-50"
)
val adif = WaveLogApi.toAdif(qso, "OM89ab", "SO-50")
assertTrue(adif.contains("<gridsquare:6>OM89ab"))
}
/** Mirrors WaveLog Logbook_model::parse_frequency: int = Hz, "12.3M" suffix = MHz. */
private fun parseLikeWaveLog(raw: String): Long {
val s = raw.trim()
return if (s.endsWith("M", ignoreCase = true)) {
(s.dropLast(1).toDouble() * 1_000_000).toLong()
} else if (s.endsWith("k", ignoreCase = true)) {
(s.dropLast(1).toDouble() * 1_000).toLong()
} else {
s.toLong()
}
}
@Test
fun qsoFreqs_stayInSatelliteBands_afterDoppler() {
// Doppler-corrected values must remain near the base frequency.
// SPEED_OF_LIGHT = 299792458 m/s; distanceRate is km/s (x1000 -> m/s).
val dopplerRate = 7.0 // km/s approaching
val corrected = uplinkHz * (299_792_458.0 + dopplerRate * 1000.0) / 299_792_458.0
assertTrue(
"corrected within +-20kHz, got ${corrected - uplinkHz} Hz",
kotlin.math.abs(corrected - uplinkHz) < 20_000
)
// band derivation: 145.x MHz -> 2m, never 160m (1.8-2.0 MHz)
val mhz = corrected / 1_000_000.0
assertTrue("145.x MHz stays in 2m, got $mhz MHz", mhz in 144.0..148.0)
}
@Test
fun band_isRealBand_notSAT() {
// SO-50: TX 145.850 MHz (VHF) -> band 2M, sat mode V/U
assertEquals("2M", WaveLogApi.bandFromHz(145_850_000))
assertEquals("V/U", WaveLogApi.satModeFrom(145_850_000, 436_795_000))
// AO-73: TX 435.150 MHz (UHF up), RX 145.950 MHz (VHF down) -> band 70CM, U/V
assertEquals("70CM", WaveLogApi.bandFromHz(435_150_000))
assertEquals("U/V", WaveLogApi.satModeFrom(435_150_000, 145_950_000))
// Same-band (e.g. simplex) -> empty sat mode
assertEquals("", WaveLogApi.satModeFrom(145_850_000, 145_950_000))
// Never 160m for satellite frequencies
assertTrue(WaveLogApi.bandFromHz(145_850_000) != "160M")
assertTrue(WaveLogApi.bandFromHz(436_795_000) != "160M")
}
@Test
fun adif_containsRealBandAndSatMode() {
// v2 payload fields (mirror postQso construction)
val band = WaveLogApi.bandFromHz(uplinkHz)
val satMode = WaveLogApi.satModeFrom(uplinkHz, downlinkHz)
assertEquals("2M", band)
assertEquals("V/U", satMode)
}
}
core/domain/src/test/resources/cw/golden_spec.txt
+78
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77 65
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0.07889045 0.08153424 0.08419035 0.08701893 0.09030894 0.09436007 0.09932096 0.1050817 0.1113084 0.1176305 0.1239188 0.1305645 0.1386389 0.1497532 0.1654913 0.1866336 0.2127252 0.2422527 0.2731474 0.3032433 0.3305584 0.3534314 0.3705729 0.3810754 0.3844073 0.3804049 0.3692688 0.3515675 0.3282437 0.3006178 0.2703726 0.239492 0.2101091 0.1842086 0.1631677 0.1472881 0.1356851 0.126759 0.1189501 0.1112676 0.1034146 0.09563871 0.0884626 0.08238604 0.07764256 0.07410739 0.07139879 0.06908784 0.06687377 0.06464756 0.06245377 0.06040035 0.05856907 0.05696608 0.05552753 0.05416456 0.05281367 0.05146397 0.05015182 0.0489313 0.04783952 0.04687586 0.04600478 0.04517753 0.04435825
0.3260067 0.3363644 0.3473228 0.3584008 0.3717064 0.3864512 0.4010351 0.4184499 0.4389309 0.4590358 0.4825051 0.5122178 0.5418502 0.5749596 0.6208939 0.6692876 0.7196215 0.7983373 0.8930331 0.9810481 1.1455 1.435858 1.723972 1.914222 1.97871 1.912684 1.720891 1.431183 1.139257 0.9739592 0.885756 0.7909085 0.7123318 0.6630843 0.6163642 0.5723305 0.5442435 0.5254506 0.5046235 0.4722382 0.4203468 0.3605282 0.3242991 0.3175806 0.3153524 0.3077487 0.2989038 0.2901882 0.2814592 0.2735062 0.2657845 0.2581551 0.2513816 0.2449855 0.2385921 0.2328572 0.2275815 0.2222787 0.2174161 0.213032 0.2086437 0.2045162 0.2008394 0.1972071 0.1937068
0.4438076 0.4559436 0.4704448 0.4847386 0.5020207 0.5190093 0.5398599 0.5602847 0.5858377 0.6107538 0.6427084 0.6736734 0.7147121 0.7541329 0.8087943 0.8606219 0.9373714 1.008648 1.125829 1.230708 1.440158 1.613244 2.198886 2.788961 2.987679 2.787503 2.195585 1.607394 1.433426 1.222683 1.117479 0.9998917 0.9291879 0.853102 0.8035754 0.7514675 0.7191642 0.6857824 0.6938878 0.7097453 0.6016893 0.4058476 0.4104768 0.4370055 0.4281905 0.4192973 0.4079929 0.3965591 0.3857173 0.3747567 0.3649065 0.3549583 0.346147 0.3372574 0.3294108 0.3215023 0.3145201 0.3074889 0.3012713 0.2950149 0.2894724 0.2838991 0.2789537 0.2739837 0.2695685
0.3260067 0.3363645 0.3473228 0.3584008 0.3717065 0.3864512 0.401035 0.4184498 0.438931 0.4590358 0.4825051 0.5122178 0.5418503 0.5749596 0.620894 0.6692876 0.7196215 0.7983373 0.8930331 0.9810481 1.1455 1.435858 1.723972 3.06281 3.479569 3.061841 1.720891 1.431183 1.139257 0.9739593 0.8857559 0.7909085 0.7123318 0.6630843 0.6163641 0.5723306 0.5442436 0.5254506 0.5046235 0.6600668 0.5916568 0.1053787 0.324299 0.3175806 0.3153523 0.3077486 0.2989039 0.2901882 0.2814592 0.2735063 0.2657846 0.2581551 0.2513817 0.2449855 0.2385924 0.2328572 0.2275815 0.2222788 0.2174162 0.213032 0.2086438 0.2045162 0.2008394 0.1972071 0.1937068
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