ATIS text often arrives in raw METAR form (e.g.
"METAR EDDF 281050Z AUTO 02008KT 320V070 CAVOK 24/02 Q1025 NOSIG"),
which TTS reads as letter-by-letter spelling. The normalizer now expands
the full WMO Code Form FM 15-XV vocabulary inline: DDHHMMZ date stamps,
compressed wind (with gusts, VRB, calm), wind variability ranges, RVR
(R25L/1500N), wind shear, slash-form temp/dewpoint, Q/A pressure,
NSC/SKC/CLR/NCD/VV cloud codes, weather phenomena (with intensity and
descriptors), recent-weather RE prefix, BECMG/TEMPO/FM/TL/AT trend
codes, and strips RMK remarks. Plus ATIS/METAR/SPECI get lowercased
so TTS pronounces them as words (pilots SPELL ILS/QNH/VOR so those
stay uppercase).
Airport ICAO codes are substituted with their OpenAIP name when the
frequencies endpoint returns one. New `airportName` field added to
the FrequencyResponse for that. Adds 7 test cases covering the user-
reported EDDF sample plus calm/VRB/gust winds, RVR, weather codes,
cloud specials, trend codes, and RMK stripping.
Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
Tuning to the ATIS frequency now plays carrier noise immediately so the
pilot gets feedback before the TTS comes back (synthesis takes a moment
on cold cache). When the ATIS audio is ready, the carrier ducks down to
a subtle bed level and stays underneath the announcement — mimicking
how a real radio channel always carries some noise floor.
Switches the loop from HTMLAudioElement (whose seek on data: URLs gets
quantized by some browsers) to a Web-Audio AudioBufferSourceNode.
`source.start(0, offset)` is sample-accurate per spec, so the
virtual-clock entry point lands exactly where computed. `window.__atisDebug`
exposes ctx/source/state for manual inspection, and pm.vue logs the
requestedOffset/duration/epochAge on each loop start.
Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
The ATIS loop sent raw VATSIM `text_atis` to TTS, producing "Q-N-H one
thousand twenty-four", "WIND oh thirty degrees", "RUNWAY oh eight L".
New `normalizeAtisForSpeech` applies ATIS-specific transforms — info
letter → phonetic alphabet, wind/temperature/time digit-by-digit, TRL
expansion, NOSIG → "no significant change", cloud layers (BKN030 →
broken three thousand), visibility, bare runway designators — then
hands off to `normalizeRadioPhrase` for QNH/RWY/FL/freq. pm.vue calls
the normalizer before posting to /api/atc/say so the disk cache keys
the spoken form. Adds 4 test cases covering a full real-world EDDM
broadcast plus edge cases (cloud layers, negative temperatures, km/m
visibility).
Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
Real ATIS broadcasts run continuously; tuning in mid-broadcast should
drop the pilot into the current spoken position, then loop. The frontend
now generates the full announcement once via TTS, plays it as a looping
HTMLAudioElement, and seeks to ((Date.now() - lastUpdated) / duration)
on metadata-load so all clients tuned to the same ATIS hear it phase-
synced. The loop starts/stops automatically with frequency tuning and
restarts on info-letter change. say.post.ts now caches tag=atis like
tag=flightlab to avoid re-synthesizing identical announcements.
Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
Replace the LLM-per-request flow in /pm with a stateful Python backend
(OpenSquawk-LiveATC-api). The backend owns session state, does regex-first
routing with readback evaluation, and returns the next state + ATC speech.
The frontend keeps its local cursor (communicationsEngine) for TTS and
monitoring UI, but no longer calls /api/llm/decide.
Changes:
app/composables/useRadioBackend.ts (new)
Typed Nuxt composable wrapping the Python REST API:
createSession, transmit, deleteSession, fetchFlows.
Base URL read from NUXT_PUBLIC_RADIO_BACKEND_URL (default 127.0.0.1:8000).
nuxt.config.ts
Expose radioBackendUrl as a public runtime config key so the composable
and communicationsEngine can both reach the Python backend.
shared/utils/communicationsEngine.ts
- fetchRuntimeTree now accepts an optional baseUrl so it fetches from the
Python backend instead of the Nuxt server when a URL is provided.
- renderTpl handles both {var} (old MongoDB schema) and {{var}} (new YAML
schema) — double-brace matched first to avoid partial matches.
- stateSayTpl / stateUtteranceTpl helpers unify say_tpl|say_template and
utterance_tpl|expected_pilot_template across both schema versions.
- auto_transitions from the new YAML schema are included when collecting
eligible transitions in collectAtcStatesUntilPilotTurn.
shared/types/decision.ts
RuntimeDecisionState extended with say_template and expected_pilot_template
fields (new YAML schema field names alongside the existing legacy names).
app/pages/pm.vue
- startMonitoring: loads tree from Python backend, then creates a backend
session (backendSessionId). Cursor synced to session.current_state.
- handlePilotTransmission: calls radioBackend.transmit instead of
/api/llm/decide. Applies auto_advanced_states via moveToSilent, then
the final state. Speaks controller_say_template via TTS.
- Both fetchRuntimeTree calls now pass radioBackendUrl so they hit the
Python backend, not the Nuxt flow-from-MongoDB path.
AGENTS.md (new)
Project guide updated to document the new two-backend architecture,
the Python backend session lifecycle, and the dual template schema.
docs/plans/2026-05-06-pm-python-runtime-contract.md (new)
Implementation plan and API contract written before the work started.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
- Darken all tape backgrounds to match real A320 PFD (#16181f/#1c1e26)
- Speed/altitude readouts green (#19e34a) instead of cyan
- Attitude indicator: sky/ground gradients, W-shaped aircraft symbol
- Speed tape: cyan target zone (not red), VFE/min-speed red bands
- Altitude tape: ticks on left side toward attitude indicator
- Flight physics: 3x slower pitch (smoothed, tau 2s), halved roll rate,
stronger speed-pitch coupling for realistic 150t inertia
- Pitch/bank exercises use normal flight ranges (±10° bank, ±3-4° pitch)
- Multi-phase speed exercise: explain → coarse hold 5s → fine hold 8s
- ATC messages emphasize small inputs, patience, and anticipation
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Documents all user feedback issues and planned fixes for audio speed,
METAR normalization, phonetics, and UI text.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Design for guided A320 takeoff scenario targeting people with flight
anxiety. Covers scripted phases, WebSocket instructor sync, audio
pipeline, and tablet-optimized UI.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
