Fetch fresh weather satellite TLEs from CelesTrak on startup and then
once every 24 hours. The dynamic TLE store is checked first in
tle_for_satellite(), falling back to the existing hardcoded TLEs when
the fetch has not yet completed or fails.
- Add global TLE_STORE (RwLock<HashMap<norad_id, (line1, line2)>>)
- Add parse_tle_response() to parse 3-line TLE format
- Add refresh_tles_from_celestrak() async fetch + store update
- Add spawn_tle_refresh_task() for startup + daily refresh loop
- Refactor tle_for_satellite() into norad_id lookup + store check
- Spawn refresh task in trx-server alongside wxsat decoder tasks
- Add reqwest (rustls-tls) dependency to trx-core
https://claude.ai/code/session_01RB19i93dnemDYLcfrhyhqc
Signed-off-by: Claude <noreply@anthropic.com>
Add SGP4-based geo-referencing for NOAA APT and Meteor LRPT decoded
satellite images, enabling them to be displayed as semi-transparent
overlays on the Leaflet map module with ground track polylines.
Changes:
- Add sgp4 crate dependency to trx-core for orbital propagation
- New trx-core/src/geo.rs module with TLE-based pass geo-referencing,
ECI-to-geodetic conversion, and station-location fallback estimation
- Extend WxsatImage and LrptImage structs with geo_bounds and
ground_track optional fields (backward compatible via serde defaults)
- Compute geo-bounds in finalize_wxsat_pass and finalize_lrpt_pass
using satellite identity, pass timestamps, and station coordinates
- Add 'wxsat' source filter to the map module (off by default)
- Add L.imageOverlay rendering with popup and ground track polyline
- Add "Show on Map" buttons in wxsat plugin live/history views
https://claude.ai/code/session_01DUCfb9CjGoViwBrznpfWyt
Signed-off-by: Claude <noreply@anthropic.com>
Remove calls to non-existent clear_wxsat_history and clear_lrpt_history
functions from the client-side clear endpoints. These image-based decoders
don't maintain client-side history unlike text decoders. The server-side
reset command (already sent) handles the cleanup. Also add missing
lrpt_decode_enabled field to the fallback RigSnapshot initializer.
https://claude.ai/code/session_019FkSMWpGR3XpWBvUghCybe
Signed-off-by: Claude <noreply@anthropic.com>
Replace flat image list with two switchable views:
- Live: decoder state cards (Idle/Listening), descriptions, latest image
- History: filterable table with columns for time, type, satellite,
channels, lines, and download link. Supports text filter, type filter
(All/APT/LRPT), and sort order (newest/oldest).
https://claude.ai/code/session_01JA13DHuzuHUL4nSBBRU83f
Signed-off-by: Claude <noreply@anthropic.com>
Extract common image_enc module at crate root with encode_grayscale_png
and encode_rgb_png helpers. Both NOAA APT and Meteor-M LRPT now use PNG
as the output format through the shared encoder. Drop jpeg image feature
dependency.
https://claude.ai/code/session_01JA13DHuzuHUL4nSBBRU83f
Signed-off-by: Claude <noreply@anthropic.com>
Restructure trx-wxsat into noaa/ (APT) and lrpt/ (Meteor-M LRPT) submodules
with shared crate base. Add QPSK demodulator, CCSDS CADU framer, MCU channel
assembler for LRPT. Wire LRPT through full stack (core types, protocol, server
decoder task, client). Add Weather Satellites sub-tab in Digital Modes with
toggle buttons for NOAA APT and Meteor LRPT, descriptions, and image history.
https://claude.ai/code/session_01JA13DHuzuHUL4nSBBRU83f
Signed-off-by: Claude <noreply@anthropic.com>
Rename the crate from trx-noaa to trx-wxsat (weather satellite) across
the entire workspace. Add full NOAA satellite decode support:
- Telemetry frame parsing: extract 16-wedge calibration data from the
128-line telemetry frames embedded in APT lines
- Radiometric calibration: piecewise-linear LUT built from wedges 1-8
to correct pixel values against known reference levels
- Channel identification: detect AVHRR sensor channels (VIS, NIR, MIR,
TIR) from wedge 9 values per APT sub-channel
- Satellite identification: heuristic NOAA-15/18/19 detection from
channel A/B sensor pairings
- Histogram equalisation: per-channel contrast enhancement for improved
image output
- WxsatImage now carries satellite name and channel labels in decoded
message broadcasts
https://claude.ai/code/session_01JA13DHuzuHUL4nSBBRU83f
Signed-off-by: Claude <noreply@anthropic.com>
Deep review of all 22 workspace crates (~52k LOC across 117 files).
- docs/architecture.md: system design, crate map, data flow, concurrency model
- docs/improvement-plan.md: 19 prioritized improvements (P0-P3)
- CLAUDE.md: updated crate layout (added missing crates), added review observations
documenting strengths and areas for improvement
https://claude.ai/code/session_01CtmH5WraR6fjmt5Rx7ooEv
Signed-off-by: Claude <noreply@anthropic.com>
Statistics panels (longest paths, strongest/weakest signals) now respect
all active map filters — source type, rig selector, band, search, and
history. Locator tooltips display which rig received each decoded frame.
https://claude.ai/code/session_01LT7zBnb2kQiYpeTuWNXHsT
Signed-off-by: Claude <noreply@anthropic.com>
Remap retune from R to T, and add a new R hotkey that rounds the
current frequency forward to the next jog-step boundary. Both the
new hotkey and the remapped retune are documented in the F1 help
overlay.
https://claude.ai/code/session_017neG2jL9uXFSRpmhyS1EqG
Signed-off-by: Claude <noreply@anthropic.com>
Remove rig_id filtering from dispatchDecodeMessage and dispatchDecodeBatch
so that decode data from all rigs (including remote/non-primary) flows into
the map. Also remove the rig_filter query param from decode history fetch
so all history is loaded. The existing map rig filter dropdown handles
visibility filtering via marker.__trxRigIds.
https://claude.ai/code/session_01GGvdXKdEbRBnJa2BjAQuVB
Signed-off-by: Claude <noreply@anthropic.com>
The noise floor subtraction was over-aggressive: the bandwidth ratio
scaling between the 67 kHz baseband probe and the IQ domain amplified
the noise estimate excessively, causing weak stations to be subtracted
to nothing. The pilot-referenced correction only worked for stereo
stations.
Strip the signal strength path back to what actually works universally:
mean IQ envelope power with asymmetric attack/decay smoothing. This
always produces a reading for any FM signal — mono, stereo, with or
without RDS.
The baseband noise probe, CNR estimation, and pilot metrics remain in
the WfmStereoDecoder for their existing uses (RDS quality weighting,
CCI/ACI estimation) but no longer feed into the S-meter.
https://claude.ai/code/session_017URSDqSJ8TyZpDhV2vKZUe
Signed-off-by: Claude <noreply@anthropic.com>
Replace the simple IQ power averaging with a proper WFM signal
strength measurement algorithm based on established RF engineering
practice:
1. Asymmetric attack/decay smoothing (τ_attack=2ms, τ_decay=300ms)
per IARU Region 1 Technical Recommendation R.1 for professional
S-meter behaviour. Fast attack catches signal increases
immediately; slow decay provides stable, readable meter movement.
2. Baseband noise floor estimation via a 67 kHz probe in the
demodulated FM baseband. FM demodulation noise follows an f²
spectral shape, so energy above the useful baseband (audio +
RDS ≤ 57 kHz) is dominated by channel noise and independent of
program content. Subtracting this noise estimate in the linear
domain reveals the carrier-only power, preventing the meter from
reading the noise floor on empty/weak channels.
3. Pilot-referenced quality correction. The 19 kHz stereo pilot
has a known fixed amplitude at the transmitter (±7.5 kHz
deviation, 10% of ±75 kHz). Near the FM threshold (~10 dB CNR)
where noise dominates the IQ reading, the pilot tone power
provides an independent quality-weighted correction. The blend
factor scales from 0.3 at low CNR down to 0 at high CNR where
the raw IQ measurement is already accurate.
4. CNR estimation from the ratio of total baseband power to the
above-band noise probe, enabling adaptive pilot correction and
providing a signal quality metric for future use.
https://claude.ai/code/session_017URSDqSJ8TyZpDhV2vKZUe
Signed-off-by: Claude <noreply@anthropic.com>
The previous carrier power IIR filtered |IQ|² (power), which only smoothed
temporal fluctuations but still integrated noise across the full 180 kHz WFM
channel bandwidth. This caused background noise to read ~-78 dBFS instead of
the expected ~-110 dBFS (~32 dB too high ≈ 10·log₁₀(180kHz/500Hz)).
Move the single-pole IIR lowpass to the IQ domain (filter I and Q separately
at ~500 Hz cutoff), then compute power from the filtered output. This rejects
out-of-band noise before the power measurement, so the meter reads true
carrier level rather than total wideband noise.
https://claude.ai/code/session_01W4WPMB2Lg3hgaY6opsk25f
Signed-off-by: Claude <noreply@anthropic.com>
Replace peak |IQ|² measurement with a per-sample single-pole IIR lowpass
on the instantaneous power (~500 Hz cutoff). FM has constant envelope so
the IIR converges to the true carrier power A², rejecting wideband noise
that previously inflated the peak reading and masked actual signal level.
Other modes keep the existing peak + EMA approach.
https://claude.ai/code/session_01X6tedMVpjX3DEqLFDBR7FK
Signed-off-by: Claude <noreply@anthropic.com>
Increase sig-strength-display min-width to 7.5rem so the field no longer
resizes when the value switches between two-digit and three-digit numbers.
Reposition the fast BW overlay immediately when bandwidth changes arrive
via SSE, and force-display on bookmark apply so freq+bw render atomically
instead of the BW bars wiggling from a stale intermediate state.
https://claude.ai/code/session_01R2XBFEBL8CrsTx5inu25MA
Signed-off-by: Claude <noreply@anthropic.com>
SSE status updates called applyLocalTunedFrequency with forceDisplay=true,
clearing the freqDirty flag on every update and overwriting user input mid-
typing. Remove forceDisplay from SSE path so the dirty flag is respected.
Skip applyLocalTunedFrequency entirely when frequency hasn't changed to
avoid redundant spectrum redraws and overlay repositioning on every SSE
frame. Only trigger scheduleSpectrumDraw when frequency actually changes.
Add blur and Escape handlers on frequency inputs to cleanly exit editing
mode when the user abandons input.
https://claude.ai/code/session_01H2VMATj29FPgR64t9YMdSR
Signed-off-by: Claude <noreply@anthropic.com>
The closed-loop Gardner Timing Error Detector was causing decoder
freezes under real-world conditions. Remove all TED state and logic,
reverting to the simpler open-loop fixed clock_inc approach. The
8-candidate parallel architecture already provides adequate timing
coverage via phase offsets without needing closed-loop tracking.
All other improvements (adaptive Costas bandwidth, syndrome-based OSD,
OSD(3/4), PI LLR accumulation) are retained.
https://claude.ai/code/session_01FsK5hZWGpAaaCpmWupN5AD
Signed-off-by: Claude <noreply@anthropic.com>
The 8th-order (4×biquad) RDS bandpass at Q=5 per stage produced a
composite −3 dB bandwidth of ±2480 Hz, but the steep 8th-order roll-off
tapered the RDS signal edges (±1544 Hz at α=0.30) by −1.2 dB. This
distorted the RRC matched filter's expected flat spectrum, causing ISI
and degrading soft-decision confidence — directly hurting PS/RT decode
on weak signals.
Q=3.5 widens the composite passband to ±3560 Hz, reducing band-edge
attenuation to −0.59 dB while still providing ≈−4 dB rejection at the
stereo difference signal edge (53 kHz) and steep 8th-order far-out
roll-off.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Signed-off-by: Stan Grams <sjg@haxx.space>
https://claude.ai/code/session_01Sw9esAuic8KHP1t8nZgvH2
Signed-off-by: Claude <noreply@anthropic.com>
The span-5 reduction passed synthetic tests because both the TX and RX
filters used the same truncated pulse shape (perfect matched filtering).
On real signals, the transmitter uses a full RRC pulse, and our truncated
RX filter couldn't match it — the weaker stopband rejection (~25% less
than pre-TED at α=0.30) allowed adjacent-channel interference through,
degrading soft confidence values and block decode rate, which caused
poor PS accumulation.
Span 10 at α=0.30 gives 50% better stopband rejection than the pre-TED
α=0.50/span=4 configuration, at the cost of 2048 vs 1024 FFT size.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Signed-off-by: Stan Grams <sjg@haxx.space>
https://claude.ai/code/session_01Sw9esAuic8KHP1t8nZgvH2
Signed-off-by: Claude <noreply@anthropic.com>
Three root causes for the post-TED decode quality regression:
1. OSD(4) at cost ceiling 0.60 produced excessive false positives at
marginal SNR. Tightened to OSD(2)/0.45 baseline, OSD(3)/0.50 only
after 2+ successful groups.
2. Gardner TED activated after just 1 group (score >= 1), but a single
false OSD match could trigger timing adjustments that injected jitter
into soft values. Raised lock gate to score >= 3 so the TED only
engages after the candidate has proven itself on a real signal.
3. RRC filter span of 10 chips doubled FFT size to 2048 with negligible
sensitivity gain over span 5 at α=0.30 (sidelobes beyond ±2.5 chips
contribute <5% energy). Reduced to span 5 → FFT 1024, matching
pre-TED efficiency.
Additional optimizations (no quality impact):
- Syndrome-based OSD: replaces per-trial CRC recomputation with a single
XOR per trial (CRC linearity), and sorts bit positions by ascending
soft confidence so inner loops break early instead of continuing.
- Pre-allocated FFT scratch buffer: eliminates ~234 heap allocations/sec
in the overlap-save convolution.
- PI_ACC_THRESHOLD reduced from 8 to 5 for faster acquisition while
retaining reliable majority voting.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Signed-off-by: Stan Grams <sjg@haxx.space>
https://claude.ai/code/session_01Sw9esAuic8KHP1t8nZgvH2
Signed-off-by: Claude <noreply@anthropic.com>
Add a new "Sig Strength" display field in the freq row that shows
the measured signal strength. Clicking the field cycles through
three units: dBFS (default), dBf, and dBm. The selected unit is
persisted in localStorage.
https://claude.ai/code/session_01EvRV8UgsVtbrcH4t2hmFBF
Signed-off-by: Claude <noreply@anthropic.com>
The Gardner TED (Tech 11) caused PI instability and worse weak-signal
pickup due to three issues:
1. Loop gains too aggressive: noise×noise error products at low SNR
injected sub-chip jitter that degraded OSD soft confidence and PI
LLR accumulation. Reduced Kp from 4e-4→1.5e-4, Ki from 8e-8→2e-8
(loop BW 0.11→0.053 Hz).
2. TED active during acquisition: before any group is decoded, the
error signal is unreliable. Now lock-gated (score >= 1) so the
TED only engages after the first successful group decode, when
timing is already close. During acquisition, the 8-candidate
architecture with fixed clocks provides adequate timing coverage.
3. Slow power estimate convergence: ted_power_est took ~420 ms to
settle (0.999 alpha), causing the TED to over-steer during startup.
Now uses 0.995 alpha (~84 ms convergence).
Additionally, when TED is gated off, the integrator decays toward zero
so stale corrections from a previous strong-signal period don't persist.
https://claude.ai/code/session_01KcVUcQQXrFyFA9NEjLhr9J
Signed-off-by: Claude <noreply@anthropic.com>
ACI: the hard limiter in channel.rs normalised IQ samples to unit
magnitude *before* the CMA equalizer, making the signal perfectly
constant-modulus so the CMA never adapted and tap deviation stayed
at zero. Fix by moving the hard limiter inside process_iq (after
the CMA) and replacing the CMA-based metric with IQ envelope
coefficient of variation, computed on the raw samples.
CCI: the pilot coherence has a theoretical maximum of π/4 ≈ 0.785
(not 1.0), so coherence_penalty was always ~0.215 even for a clean
signal. The Q/I ratio also depended on the arbitrary NCO-pilot
phase offset rather than actual interference. Fix by normalising
coherence by its theoretical max and dropping the phase-dependent
Q/I ratio. Gate CCI on pilot detection so mono signals read 0%.
https://claude.ai/code/session_01PUXWNMRGfrWYH56k2DLmen
Signed-off-by: Claude <noreply@anthropic.com>
After completing a group (Block D), the decoder dropped lock and
reverted to search mode which only uses hard CRC. On weak signals,
Block A frequently has bit errors that OSD could correct but hard
decode cannot, causing the decoder to freeze after 2-3 successful
groups. Stay locked with ExpectBlock::A so the next Block A benefits
from OSD soft decoding.
https://claude.ai/code/session_015Ds9dxpeyFimYHySBuzbFw
Signed-off-by: Claude <noreply@anthropic.com>
Estimate Co-Channel Interference (CCI) from pilot tone quadrature
leakage and coherence degradation. Estimate Adjacent Channel
Interference (ACI) from CMA equalizer tap deviation from identity.
Both metrics (0-100 scale) are surfaced through RigFilterState and
displayed as colour-coded bars in the WFM control panel.
The RDS decoder quality parameter is now adaptively penalised when
CCI/ACI levels are elevated, reducing block-error rate under
interference conditions.
https://claude.ai/code/session_016EKzep42RCvE4GxvvRaCwu
Signed-off-by: Claude <noreply@anthropic.com>
If the incumbent candidate has not produced a state update in 2 seconds,
clear its score advantage so any candidate can take over. This prevents
the decoder from "freezing" on stale data when the incumbent's timing or
carrier tracking degrades — particularly important for dynamic PS where
the station rotates program service text.
Signed-off-by: Claude <noreply@anthropic.com>
https://claude.ai/code/session_0136sPdLUpYgvskrzbi2Epkv
Signed-off-by: Claude <noreply@anthropic.com>
Fix Gardner TED loop structure bug (type-3 → type-2 PLL) and tune
gains for ζ=0.707 damping. Add adaptive Costas loop bandwidth that
narrows from ~22 Hz to ~5.5 Hz once carrier is locked, reducing phase
noise at low SNR. Narrow RRC matched filter (α=0.30, span=10 chips)
for ~0.6 dB noise BW gain. Add OSD(4) for locked-mode blocks after
first successful group, and increase PI accumulation threshold to 8.
TED bug details: the original code used `clock_inc += correction`
which added the full integrator value at every chip, creating an
extra integration (type-3 loop) that is unconditionally unstable.
Fixed to `clock_inc = nominal + correction` (standard type-2 PLL).
Gains retuned: Kp=4e-4, Ki=8e-8 for ζ≈0.707 and loop BW≈0.11 Hz.
Signed-off-by: Claude <noreply@anthropic.com>
https://claude.ai/code/session_0136sPdLUpYgvskrzbi2Epkv
Signed-off-by: Claude <noreply@anthropic.com>
The Auto button now toggles between Off and Auto states. Default is Off.
First click sets squelch to noise floor + 6 dB; second click resets to
Open (0%). Button shows active state with green highlight when engaged.
https://claude.ai/code/session_01TDQyrZiPKfWGATVWPsLmHT
Signed-off-by: Claude <noreply@anthropic.com>
Add an "Auto" button next to the SQL slider that sets the squelch
threshold to the current noise floor (estimated from spectrum bins)
plus a 6 dB margin. Uses the existing estimateNoiseFloorDb() heuristic.
https://claude.ai/code/session_01TDQyrZiPKfWGATVWPsLmHT
Signed-off-by: Claude <noreply@anthropic.com>
Add OSD_MAX_FLIP_COST (0.45) to reject OSD corrections where the flipped
bits had high confidence — a strong false-decode indicator. Genuine errors
at 9-10 dB SNR have cost ≲0.3; noise matches cost 0.6-1.2.
Add PI consistency gate in process_group: reject groups whose Block A PI
differs from the candidate's established PI, preventing noise from
polluting accumulated PS/RT/PTYN text fields.
Raise PI_ACC_THRESHOLD from 2 to 3 for stronger PI voting.
Extend noise rejection test from 0.5s to 2s. Add 9 dB SNR sensitivity
test (all 16 tests pass).
https://claude.ai/code/session_01GYax4BQ9ZV9ZZfMjmmzgbh
Signed-off-by: Claude <noreply@anthropic.com>
The WSPR decoder was producing many false positive decodes due to
several overly permissive thresholds that allowed noise to reach the
Fano sequential decoder, which could then converge on random data:
- Raise normalized sync score threshold from 0.10 to 0.20 to reject
noise candidates before attempting expensive Fano decoding
- Add minimum SNR gate (-20 dB) to skip candidates where the signal
is indistinguishable from noise
- Return and check the Fano decoder's cumulative path metric, rejecting
low-confidence decodes (metric < 20) that are likely noise artifacts
- Raise RMS threshold from 0.0005 to 0.005 to reject near-silent audio
- Add near-frequency deduplication to prevent the same signal decoded
at slightly different (freq, dt) offsets from appearing multiple times
- Add noise-only regression test to verify no false positives on random
input
https://claude.ai/code/session_01HTBoEsD1hp99TiYMSaHMVG
Signed-off-by: Claude <noreply@anthropic.com>
The `chips_to_rds_signal` test helper was generating rectangular chip
pulses, but the receiver expects RRC-shaped transmit pulses so that
RRC(tx) × RRC(rx) = raised cosine with zero ISI. The rectangular
pulses caused ISI that drifted the symbol clock sampling point,
consistently skipping PS segment 2 in the end-to-end test.
Replace rectangular pulses with an impulse train convolved with the
same RRC taps used by the receiver. All 15 tests now pass including
`end_to_end_clean_signal_decodes_ps`.
https://claude.ai/code/session_01N2UcGaLDzYiM3gNrZ6kFBj
Signed-off-by: Claude <noreply@anthropic.com>
The map module was tagging all decode markers (APRS, AIS, VDES,
FT8/FT4/FT2/WSPR locators) with the global rig picker's active rig
instead of the actual source rig. This made the map's own rig filter
dropdown ineffective in multi-rig setups.
- Add rig_id field to all decode message structs (AisMessage,
VdesMessage, AprsPacket, CwEvent, Ft8Message, WsprMessage)
- Set rig_id on messages in audio_client before broadcasting, using
the actual rig connection identifier
- Update history collector to prefer message rig_id over the global
active rig fallback
- Pass rig_id through plugin normalize functions (AIS, APRS, VDES,
HF-APRS) so it reaches the map add functions
- Update all map marker functions (aprsMapAddStation, aisMapAddVessel,
vdesMapAddPoint, mapAddLocator) to use the message's rig_id with
fallback to the global picker for backward compatibility
https://claude.ai/code/session_015gC7axHk2jmp7HbFPdbivN
Signed-off-by: Claude <noreply@anthropic.com>
Drop the plugin loading infrastructure (libloading-based dynamic .so/.dylib/.dll
loading) from both trx-server and trx-client. The feature was unused and posed an
unnecessary security risk by executing arbitrary native code from disk.
Removed:
- src/trx-app/src/plugins.rs (plugin discovery, validation, FFI registration)
- examples/trx-plugin-example/ (cdylib example plugin)
- libloading dependency from trx-app
- load_backend_plugins / load_frontend_plugins calls from server and client
- Plugin documentation from README.md and CLAUDE.md
https://claude.ai/code/session_01DTEUpz3XPUeWmz74NeaFgb
Signed-off-by: Claude <noreply@anthropic.com>
Update all SDR command handlers in rig_task to access SDR methods via
ctx.rig.as_sdr() instead of calling them directly on RigCat. Query-only
SDR operations (filter_state, get_spectrum, get_vchan_rds) use
as_sdr_ref(). Non-SDR rigs now get proper not_supported errors.
https://claude.ai/code/session_01XzurkeuUmamBuhQwxVy7T4
Signed-off-by: Claude <noreply@anthropic.com>
Extract 13 SDR-specific methods (set_center_freq, set_bandwidth,
set_sdr_gain/lna/agc/squelch/nb, set_wfm_*, filter_state, get_spectrum,
get_vchan_rds) into a new RigSdr trait. RigCat retains core CAT
operations and gains as_sdr()/as_sdr_ref() for optional SDR access.
Non-SDR backends no longer see SDR methods in their trait impl.
https://claude.ai/code/session_01XzurkeuUmamBuhQwxVy7T4
Signed-off-by: Claude <noreply@anthropic.com>
Replace all .unwrap() on RwLock/Mutex acquisitions with
.unwrap_or_else(|e| e.into_inner()) to gracefully recover from poisoned
locks instead of panicking. Add lock ordering documentation to the
module header to prevent deadlocks.
https://claude.ai/code/session_01XzurkeuUmamBuhQwxVy7T4
Signed-off-by: Claude <noreply@anthropic.com>
Add an AtomicUsize total_count field to DecoderHistories, maintained by
record/prune/clear methods, so estimated_total_count() avoids 9 separate
mutex acquisitions. Also replace audio ring buffer .unwrap() calls with
.unwrap_or_else(|e| e.into_inner()) to recover from poisoned locks.
https://claude.ai/code/session_01XzurkeuUmamBuhQwxVy7T4
Signed-off-by: Claude <noreply@anthropic.com>
Use a StateWithMeta wrapper struct with #[serde(flatten)] for merging
rig state with frontend meta, replacing the manual string manipulation.
Also add Serialize derive and skip_serializing_if to FrontendMeta.
https://claude.ai/code/session_01XzurkeuUmamBuhQwxVy7T4
Signed-off-by: Claude <noreply@anthropic.com>
Introduce DecodeHistory<T> alias for the repeated
Arc<Mutex<VecDeque<(Instant, Option<String>, T)>>> pattern (9 fields).
Also switch VChanAudioCmd channel senders from UnboundedSender to Sender
to prevent unbounded memory growth under backpressure.
https://claude.ai/code/session_01XzurkeuUmamBuhQwxVy7T4
Signed-off-by: Claude <noreply@anthropic.com>
