mirror of
https://github.com/OpenSquawk/OpenSquawk
synced 2026-08-04 16:22:48 +08:00
Wire /pm to Python backend for stateful ATC training sessions
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>
This commit is contained in:
44
AGENTS.md
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44
AGENTS.md
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@@ -0,0 +1,44 @@
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# OpenSquawk - Project Guide
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## Architecture
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- **Nuxt 4** (Vue 3 SFC) frontend in `/app`
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- **H3 server** handlers in `/server`
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- **Shared types/utils** in `/shared`
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- MongoDB models in `/server/models`
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- **Python backend** (`OpenSquawk-LiveATC-api`) — owns PM session state and routing decisions; runs on `http://127.0.0.1:8000`
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## Key Files
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- `/shared/utils/communicationsEngine.ts` — Core state machine composable (used by `/pm` live ATC). Drives local cursor and TTS; Python backend owns the authoritative state.
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- `/app/composables/useRadioBackend.ts` — Typed wrapper around the Python backend REST API (`createSession`, `transmit`, `deleteSession`, `fetchFlows`)
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- `/server/utils/openai.ts` — Legacy LLM decision router (`routeDecision()`). No longer called by `/pm`; may still be used by other routes.
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- `/server/services/decisionFlowService.ts` — Builds runtime decision trees from MongoDB (used by Nuxt `/api/decision-flows/runtime`; `/pm` now fetches directly from the Python backend)
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- `/app/pages/pm.vue` — Live ATC page (speech-to-text, PTT, text input)
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- `/app/pages/classroom.vue` — Classroom learning mode (separate system, does NOT use communicationsEngine)
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## Live ATC Flow (/pm) — current
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1. `startMonitoring()` → `fetchRuntimeTree('icao_atc_decision_tree', radioBackendUrl)` loads the YAML flow from Python backend into the local engine (for cursor tracking / TTS)
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2. `startMonitoring()` → `radioBackend.createSession('icao_atc_decision_tree')` creates an authoritative server-side session; stores `backendSessionId`
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3. User inputs (PTT or text) → `handlePilotTransmission()`
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4. `radioBackend.transmit(backendSessionId, transcript)` → Python backend runs regex routing, readback evaluation, and side effects; returns `next_state_id`, `controller_say_template`, `auto_advanced_states`, `flags`
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5. `moveToSilent(stateId)` called for each auto-advanced state then the final state — advances local cursor without triggering further auto-transitions
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6. `scheduleControllerSpeech(controller_say_template)` speaks the ATC reply via TTS
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7. PTT path: STT still goes to Nuxt (`POST /api/atc/ptt`); transcription result then calls step 4
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## Decision Tree States
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States have `role: 'pilot' | 'atc' | 'system'`. The engine supports two template field naming conventions:
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- Old schema: `say_tpl`, `utterance_tpl` (MongoDB/legacy)
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- New schema: `say_template`, `expected_pilot_template` (Python backend YAML)
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Both are handled transparently by `stateSayTpl()` and `stateUtteranceTpl()` helpers in `communicationsEngine.ts`.
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Template variables use `{{variable}}` (new) or `{variable}` (old) — both are rendered by `renderTpl()`.
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Transitions: `next`, `ok_next`, `bad_next`, `timer_next`, `auto_transitions`.
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## Environment Variables
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- `NUXT_PUBLIC_RADIO_BACKEND_URL` — URL of the Python backend (default `http://127.0.0.1:8000`)
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## Commands
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- `bun run dev` — dev server (Nuxt)
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- Python backend: see `OpenSquawk-LiveATC-api/README.md`
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56
app/composables/useRadioBackend.ts
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56
app/composables/useRadioBackend.ts
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export interface RadioSessionResponse {
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session_id: string
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flow_slug: string
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current_state: string
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variables: Record<string, any>
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flags: Record<string, boolean>
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}
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export interface RadioTransmitResponse {
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session_id: string
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next_state_id: string
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controller_say_template: string | null
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controller_say_rendered: string | null
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expected_pilot_template: string | null
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variables: Record<string, any>
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flags: Record<string, boolean>
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trace: Array<{ type: string; message: string }>
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fallback_used: boolean
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fallback_reason: string | null
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auto_advanced_states?: string[]
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}
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export function useRadioBackend() {
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const config = useRuntimeConfig()
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function baseUrl(): string {
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return (config.public.radioBackendUrl as string) || 'http://127.0.0.1:8000'
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}
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async function createSession(flowSlug: string): Promise<RadioSessionResponse> {
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return await $fetch<RadioSessionResponse>(`${baseUrl()}/api/radio/session`, {
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method: 'POST',
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body: { flow_slug: flowSlug },
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})
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}
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async function transmit(sessionId: string, pilotUtterance: string): Promise<RadioTransmitResponse> {
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return await $fetch<RadioTransmitResponse>(
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`${baseUrl()}/api/radio/session/${sessionId}/transmissions`,
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{
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method: 'POST',
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body: { pilot_utterance: pilotUtterance },
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},
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)
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}
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async function deleteSession(sessionId: string): Promise<void> {
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await $fetch(`${baseUrl()}/api/radio/session/${sessionId}`, { method: 'DELETE' })
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}
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async function fetchFlows(): Promise<any> {
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return await $fetch(`${baseUrl()}/api/decision-flows/runtime`)
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}
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return { createSession, transmit, deleteSession, fetchFlows }
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}
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101
app/pages/pm.vue
101
app/pages/pm.vue
@@ -970,6 +970,8 @@ const engine = useCommunicationsEngine()
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const auth = useAuthStore()
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const api = useApi()
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const router = useRouter()
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const radioBackend = useRadioBackend()
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const config = useRuntimeConfig()
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const STORAGE_KEYS = {
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selectedPlan: 'pm_selected_plan',
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@@ -1014,6 +1016,7 @@ const {
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buildLLMContext,
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applyLLMDecision,
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moveTo: forceMove,
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moveToSilent,
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normalizeATCText,
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renderATCMessage,
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getStateDetails,
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@@ -1021,6 +1024,8 @@ const {
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expectedPilotPhrases,
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} = engine
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const backendSessionId = ref<string | null>(null)
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const lastTransmission = ref('')
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const lastTransmissionFaulty = ref(false)
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const lastTransmissionFaultNote = ref('')
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@@ -1409,9 +1414,9 @@ onMounted(async () => {
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}
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try {
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await fetchRuntimeTree()
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await fetchRuntimeTree('icao_atc_decision_tree', config.public.radioBackendUrl as string)
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} catch (err) {
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console.error('Failed to load decision tree runtime', err)
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console.error('Failed to load decision tree from Python backend', err)
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error.value = 'Decision engine konnte nicht initialisiert werden.'
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return
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}
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@@ -1907,51 +1912,39 @@ const handlePilotTransmission = async (message: string, source: 'text' | 'ptt' =
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speakPilotReadback(transcript)
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}
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const ctx = buildLLMContext(transcript)
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if (!backendSessionId.value) {
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console.error('No backend session — cannot transmit')
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setLastTransmission(`${prefix}: ${transcript} (no session)`)
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return
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}
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try {
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const result = await api.post('/api/llm/decide', ctx)
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const decision =
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result?.decision && typeof result.decision === 'object'
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? result.decision
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: (result && typeof result === 'object' && 'next_state' in result)
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? result
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: null
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const response = await radioBackend.transmit(backendSessionId.value, transcript)
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if (!decision) {
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console.error('LLM decision response had unexpected shape:', result)
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setLastTransmission(`${prefix}: ${transcript} (invalid decision response)`)
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return
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// Advance local cursor through every state the backend auto-walked, then
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// the final state. moveToSilent updates current_unit, actions, handoffs,
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// and the communication log without scheduling further auto-transitions.
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for (const stateId of response.auto_advanced_states ?? []) {
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moveToSilent(stateId)
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}
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moveToSilent(response.next_state_id)
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// Sync boolean routing flags (in_air, emergency_active, etc.) from backend.
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for (const [k, v] of Object.entries(response.flags ?? {})) {
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if (typeof v === 'boolean') (flags as any).value[k] = v
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}
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const normalizedTrace = normalizeDecisionTraceResult(result)
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applyLLMDecision(decision, normalizedTrace ?? null)
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// If decision explicitly has controller_say_tpl, speak it
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if (decision.controller_say_tpl && !decision.radio_check) {
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scheduleControllerSpeech(decision.controller_say_tpl)
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// TTS: use the template so local variables (callsign, squawk, etc.) render correctly.
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if (response.controller_say_template) {
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scheduleControllerSpeech(response.controller_say_template)
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}
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// Auto-advance through ATC/system states and speak any say_tpl messages.
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// This is the key fix: after a decision moves us to a new state, we need
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// to walk through all non-pilot states (ATC replies, system transitions)
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// until we reach the next pilot state, speaking each ATC message via TTS.
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if (!decision.radio_check) {
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await nextTick()
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const atcMessages = collectAtcStatesUntilPilotTurn()
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for (const msg of atcMessages) {
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// Don't double-speak if the decision already had controller_say_tpl
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// for this exact template
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if (decision.controller_say_tpl && msg.say_tpl === decision.controller_say_tpl) {
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continue
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}
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scheduleControllerSpeech(msg.say_tpl)
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}
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if (response.fallback_used) {
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console.warn('[Backend] Fallback used:', response.fallback_reason)
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}
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} catch (e) {
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console.error('LLM decision failed', e)
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setLastTransmission(`${prefix}: ${transcript} (LLM failed)`)
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console.error('Backend transmission failed', e)
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setLastTransmission(`${prefix}: ${transcript} (backend failed)`)
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}
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}
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@@ -1982,9 +1975,10 @@ const loadFlightPlans = async () => {
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}
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const startMonitoring = async (flightPlan: any) => {
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// 1. Ensure the local tree is loaded from the Python backend (same source as session)
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try {
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if (!engineReady.value) {
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await fetchRuntimeTree()
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await fetchRuntimeTree('icao_atc_decision_tree', config.public.radioBackendUrl as string)
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}
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} catch (err) {
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console.error('Failed to prepare decision engine', err)
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@@ -1992,22 +1986,41 @@ const startMonitoring = async (flightPlan: any) => {
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return
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}
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// 2. Create a backend session — this is the authoritative state from here on
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try {
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const session = await radioBackend.createSession('icao_atc_decision_tree')
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backendSessionId.value = session.session_id
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// Sync cursor to wherever the backend initialised (usually start_state)
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moveToSilent(session.current_state)
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// Sync boolean routing flags from session
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for (const [k, v] of Object.entries(session.flags ?? {})) {
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if (typeof v === 'boolean') (flags as any).value[k] = v
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}
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} catch (err) {
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console.error('Failed to create backend session', err)
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error.value = 'Verbindung zum Training-Backend fehlgeschlagen.'
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return
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}
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error.value = ''
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selectedPlan.value = flightPlan
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// 3. initializeFlight sets the real flight plan variables (callsign, squawk, dep/dest, etc.)
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// This runs AFTER session creation so these values win over backend defaults.
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initializeFlight(flightPlan)
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currentScreen.value = 'monitor'
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persistSelectedPlan(flightPlan)
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// Set appropriate frequency based on departure airport
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if (flightPlan.dep === 'EDDF') {
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frequencies.value.active = '121.900' // Frankfurt Delivery
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frequencies.value.standby = '121.700' // Frankfurt Ground
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frequencies.value.active = '121.900'
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frequencies.value.standby = '121.700'
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}
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await fetchAirportFrequencies(flightPlan.dep || flightPlan.departure)
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// If the start state is an ATC state, auto-advance and speak its message
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// so the pilot sees the first prompt immediately after connecting.
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// 4. Walk the initial ATC/system states locally (deterministic, no LLM).
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// Safe because we loaded the tree from the same Python backend, so the
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// walk is identical to what the backend will do on the first transmission.
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try {
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await nextTick()
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const startMessages = collectAtcStatesUntilPilotTurn()
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@@ -57,6 +57,7 @@ export default defineNuxtConfig({
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},
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public: {
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apiDocumentationUrl: '/api-docs',
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radioBackendUrl: process.env.NUXT_PUBLIC_RADIO_BACKEND_URL || 'http://127.0.0.1:8000',
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},
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},
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vuetify: {
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@@ -220,7 +220,9 @@ export interface RuntimeDecisionState {
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name?: string
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summary?: string
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say_tpl?: string
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say_template?: string
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utterance_tpl?: string
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expected_pilot_template?: string
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else_say_tpl?: string
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next?: Array<{ to: string; label?: string; when?: string; guard?: string }>
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ok_next?: Array<{ to: string; label?: string; when?: string; guard?: string }>
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@@ -159,7 +159,10 @@ function createDefaultFlightContext(): FlightContext {
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}
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function renderTpl(tpl: string, ctx: Record<string, any>): string {
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return tpl.replace(/\{([\w.]+)\}/g, (_m, key) => {
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// Handles both {variable} (old schema) and {{variable}} (new YAML/Jinja2 schema).
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// Double-brace is matched first so {{x}} isn't partially matched as {x} with trailing brace.
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return tpl.replace(/\{\{([\w.]+)\}\}|\{([\w.]+)\}/g, (_m, key1, key2) => {
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const key = key1 ?? key2
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const parts = key.split('.')
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let cur: any = ctx
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for (const p of parts) cur = cur?.[p]
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@@ -167,6 +170,14 @@ function renderTpl(tpl: string, ctx: Record<string, any>): string {
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})
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}
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function stateSayTpl(s: RuntimeDecisionState): string | undefined {
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return s.say_tpl ?? s.say_template
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}
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function stateUtteranceTpl(s: RuntimeDecisionState): string | undefined {
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return s.utterance_tpl ?? s.expected_pilot_template
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}
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export default function useCommunicationsEngine() {
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const runtimeSystem = ref<RuntimeDecisionSystem | null>(null)
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const flowOrder = ref<string[]>([])
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@@ -562,13 +573,20 @@ export default function useCommunicationsEngine() {
|
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})
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})
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async function fetchRuntimeTree(slug = 'icao_atc_decision_tree') {
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async function fetchRuntimeTree(slug = 'icao_atc_decision_tree', baseUrl?: string) {
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ready.value = false
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const fetcher: any = (globalThis as any).$fetch
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if (typeof fetcher !== 'function') {
|
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throw new Error('Universal fetch is not available in this context')
|
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let data: RuntimeDecisionSystem
|
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if (baseUrl) {
|
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const res = await fetch(`${baseUrl}/api/decision-flows/runtime`)
|
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if (!res.ok) throw new Error(`Failed to load flows from ${baseUrl}: ${res.status}`)
|
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data = await res.json() as RuntimeDecisionSystem
|
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} else {
|
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const fetcher: any = (globalThis as any).$fetch
|
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if (typeof fetcher !== 'function') {
|
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throw new Error('Universal fetch is not available in this context')
|
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}
|
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data = (await fetcher('/api/decision-flows/runtime')) as RuntimeDecisionSystem
|
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}
|
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const data = (await fetcher('/api/decision-flows/runtime')) as RuntimeDecisionSystem
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const activeSlug = slug && data.flows[slug] ? slug : data.main
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resetEngineFromSystem(data, { activeSlug })
|
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}
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@@ -959,12 +977,13 @@ export default function useCommunicationsEngine() {
|
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if (endStates.includes(s.id)) break
|
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|
||||
// Collect ATC/system messages for TTS
|
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if (s.say_tpl) {
|
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const sayTpl = stateSayTpl(s)
|
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if (sayTpl) {
|
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messages.push({
|
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stateId: s.id,
|
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say_tpl: s.say_tpl,
|
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rendered: renderTpl(s.say_tpl, exposeCtx()),
|
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normalized: normalizeATCText(s.say_tpl, exposeCtxFlat()),
|
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say_tpl: sayTpl,
|
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rendered: renderTpl(sayTpl, exposeCtx()),
|
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normalized: normalizeATCText(sayTpl, exposeCtxFlat()),
|
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})
|
||||
}
|
||||
|
||||
@@ -991,10 +1010,16 @@ export default function useCommunicationsEngine() {
|
||||
}
|
||||
|
||||
if (!nextId) {
|
||||
// Collect all eligible transitions
|
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// Collect all eligible transitions — also include new-schema auto_transitions
|
||||
// (used by ATC states in the new YAML that have no ok_next/next entries)
|
||||
const autoTransitionTargets = (s.auto_transitions ?? [])
|
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.map(t => ({ to: (t as any).to as string | undefined }))
|
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.filter(t => !!t.to)
|
||||
|
||||
const allTransitions = [
|
||||
...(s.next ?? []),
|
||||
...(s.ok_next ?? []),
|
||||
...autoTransitionTargets,
|
||||
] as Array<{ to?: string; when?: string; guard?: string }>
|
||||
|
||||
const eligible = allTransitions.filter(t => {
|
||||
@@ -1028,12 +1053,13 @@ export default function useCommunicationsEngine() {
|
||||
const s = currentState.value
|
||||
if (!s) return []
|
||||
|
||||
// If current state IS a pilot state with utterance_tpl, show it
|
||||
if (s.role === 'pilot' && s.utterance_tpl) {
|
||||
// If current state IS a pilot state with utterance_tpl / expected_pilot_template, show it
|
||||
const currentUtteranceTpl = stateUtteranceTpl(s)
|
||||
if (s.role === 'pilot' && currentUtteranceTpl) {
|
||||
return [{
|
||||
stateId: s.id,
|
||||
text: renderTpl(s.utterance_tpl, exposeCtx()),
|
||||
normalized: normalizeATCText(s.utterance_tpl, exposeCtxFlat()),
|
||||
text: renderTpl(currentUtteranceTpl, exposeCtx()),
|
||||
normalized: normalizeATCText(currentUtteranceTpl, exposeCtxFlat()),
|
||||
}]
|
||||
}
|
||||
|
||||
@@ -1042,11 +1068,12 @@ export default function useCommunicationsEngine() {
|
||||
for (const id of nextCandidates.value) {
|
||||
const state = states.value[id]
|
||||
if (!state) continue
|
||||
if (state.role === 'pilot' && state.utterance_tpl) {
|
||||
const utteranceTpl = stateUtteranceTpl(state)
|
||||
if (state.role === 'pilot' && utteranceTpl) {
|
||||
results.push({
|
||||
stateId: id,
|
||||
text: renderTpl(state.utterance_tpl, exposeCtx()),
|
||||
normalized: normalizeATCText(state.utterance_tpl, exposeCtxFlat()),
|
||||
text: renderTpl(utteranceTpl, exposeCtx()),
|
||||
normalized: normalizeATCText(utteranceTpl, exposeCtxFlat()),
|
||||
})
|
||||
}
|
||||
}
|
||||
@@ -1111,7 +1138,7 @@ export default function useCommunicationsEngine() {
|
||||
|
||||
const state = currentState.value
|
||||
if (!state) return
|
||||
if (state.role === 'atc' && state.say_tpl) return
|
||||
if (state.role === 'atc' && stateSayTpl(state)) return
|
||||
|
||||
const transitions = [
|
||||
...(state.next ?? []),
|
||||
@@ -1141,7 +1168,7 @@ export default function useCommunicationsEngine() {
|
||||
const targetState = states.value[targetId]
|
||||
if (!targetState) return
|
||||
|
||||
const silentSystemHop = targetState.role === 'system' && !targetState.say_tpl
|
||||
const silentSystemHop = targetState.role === 'system' && !stateSayTpl(targetState)
|
||||
const delay = silentSystemHop
|
||||
? 50
|
||||
: Math.floor(Math.random() * 1000) + 1000
|
||||
@@ -1230,8 +1257,9 @@ export default function useCommunicationsEngine() {
|
||||
}
|
||||
|
||||
// Auto-Say
|
||||
if (s.say_tpl) {
|
||||
speak(s.role, s.say_tpl, s.id!)
|
||||
const sayTplMoveTo = stateSayTpl(s)
|
||||
if (sayTplMoveTo) {
|
||||
speak(s.role, sayTplMoveTo, s.id!)
|
||||
}
|
||||
|
||||
// Update flight context phase
|
||||
@@ -1239,6 +1267,49 @@ export default function useCommunicationsEngine() {
|
||||
queueMicrotask(() => evaluateAutoTransitions())
|
||||
}
|
||||
|
||||
// Like moveTo but does NOT schedule auto-transitions — used when the backend
|
||||
// is driving state and we only need to sync the local cursor + side-effects
|
||||
// (actions, handoffs, communication log) without the engine trying to advance further.
|
||||
function moveToSilent(stateId: string) {
|
||||
ensureTree()
|
||||
if (!states.value[stateId]) {
|
||||
console.warn(`[Engine] Unknown state for silent move: ${stateId}`)
|
||||
return
|
||||
}
|
||||
|
||||
if (stateId.startsWith('INT_')) {
|
||||
flags.value.stack.push(currentStateId.value)
|
||||
}
|
||||
|
||||
setActiveStateId(stateId)
|
||||
resetAutoHistory(stateId)
|
||||
const s = currentState.value
|
||||
if (!s) return
|
||||
|
||||
for (const act of s.actions ?? []) {
|
||||
if (typeof act === 'string') continue
|
||||
if (act.if && !safeEvalBoolean(act.if)) continue
|
||||
if (act.set) {
|
||||
setByPath({ variables: variables.value, flags: flags.value, telemetry: telemetry.value }, act.set, act.to)
|
||||
}
|
||||
}
|
||||
|
||||
if (s.handoff?.to) {
|
||||
flags.value.current_unit = unitFromHandoff(s.handoff.to)
|
||||
if (s.handoff.freq) {
|
||||
variables.value.handoff_freq = renderTpl(s.handoff.freq, exposeCtx())
|
||||
}
|
||||
}
|
||||
|
||||
const sayTplSilent = stateSayTpl(s)
|
||||
if (sayTplSilent) {
|
||||
speak(s.role, sayTplSilent, s.id!)
|
||||
}
|
||||
|
||||
updateFlightPhase(s.phase)
|
||||
// deliberately no evaluateAutoTransitions — backend owns the next move
|
||||
}
|
||||
|
||||
function updateFlightPhase(phase: Phase) {
|
||||
const phaseMap: Record<Phase, string> = {
|
||||
'Clearance': 'clearance',
|
||||
@@ -1419,6 +1490,7 @@ export default function useCommunicationsEngine() {
|
||||
|
||||
// Flow Control
|
||||
moveTo,
|
||||
moveToSilent,
|
||||
|
||||
// Utilities
|
||||
normalizeATCText,
|
||||
|
||||
Reference in New Issue
Block a user