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server-26/drb-c2-core/app/config.py
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Logan Cusano 97013e1505
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Stop Whisper hallucinations and dedupe recordings across nodes
Two independent sources of garbage in the AI pipeline, both visible in the
2026-08-16 correlation dump.

1. Hallucinated transcripts. The Whisper prompt opened with an enumerated run
   of ten-codes: 10-4, 10-23, 10-20, 10-97 and so on. Whisper treats prompt
   text as preceding transcript, so on noisy or silent audio it continued the
   series, emitting transcripts that count upward from 10-4 to 10-99. The
   existing no_speech_prob filter could not catch these: the model is highly
   confident in text it invented by continuing a pattern.

   The prompt no longer contains a series to extend, and _is_degenerate()
   rejects the three shapes this failure takes: ascending ten-code runs, one
   phrase looping, and near-identical segments across a whole recording.
   Verified against 13 transcripts from production: all four known
   hallucinations rejected, all nine real ones kept, including terse traffic
   containing legitimate codes.

2. Duplicate recordings. node-002 and node-PI-2 both cover TG 9048 and both
   uploaded the same transmissions, ~1.1s apart. Nine pairs appeared in one
   dump. Each was transcribed, billed and correlated twice, and the resulting
   incident listed two units where there was one.

   Canonical selection is by earliest started_at, tie-broken on call_id, NOT
   by upload order: upload order varies with encode time and network latency,
   so it would make the authoritative recording non-deterministic. Call
   documents are created from MQTT call_start before uploads arrive, so both
   nodes independently reach the same verdict. The loser keeps its audio (it
   may be the cleaner capture) but is excluded from STT, correlation, the
   re-correlation sweep and the orphan debug view.

Also fixes _sync_transcribe returning a bare None when OPENAI_API_KEY is
missing, where the caller unpacks two values. A missing key surfaced as a
misleading "Transcription failed" instead of the real warning.

Adds tests/test_dedup.py (15 cases). dedup.py reaches Firestore through an
injected callable so it stays importable without firebase-admin present.
2026-08-16 17:28:27 -04:00

96 lines
4.7 KiB
Python

from pydantic_settings import BaseSettings
from typing import Optional
class Settings(BaseSettings):
# MQTT
mqtt_broker: str = "localhost"
mqtt_port: int = 1883
mqtt_user: Optional[str] = None
mqtt_pass: Optional[str] = None
# mosquitto's built-in dynamic-security plugin (see app/internal/dynsec.py).
# "admin" is hardcoded by the plugin itself on first boot — not actually
# configurable — kept as a named setting rather than a literal for
# readability. mqtt_dynsec_admin_pass must equal the mosquitto
# container's own MOSQUITTO_DYNSEC_PASSWORD env var (root .env /
# root.env.j2) or c2-core can't administer node credentials at all.
mqtt_dynsec_admin_user: str = "admin"
mqtt_dynsec_admin_pass: Optional[str] = None
# GCP
gcp_credentials_path: Optional[str] = None # None → uses ADC
gcs_bucket: Optional[str] = None # None → audio upload disabled
firestore_database: str = "(default)"
# Node health
node_offline_threshold: int = 90 # seconds without checkin before marking offline
# OpenAI (STT + intelligence)
openai_api_key: Optional[str] = None
stt_model: str = "whisper-1" # whisper-1 | gpt-4o-mini-transcribe | gpt-4o-transcribe
# Google Maps (geocoding)
google_maps_api_key: Optional[str] = None
# Gemini (intelligence extraction, embeddings, incident summaries)
gemini_api_key: Optional[str] = None
# Correlation consensus models
# corr_cheap_model — first-pass LLM correlator (runs on every call)
# corr_smart_model — tiebreaker (only fires when rules and cheap LLM disagree)
corr_cheap_model: str = "gemini-2.0-flash"
corr_smart_model: str = "gemini-1.5-pro"
summary_interval_minutes: int = 2 # how often the summary loop runs
correlation_window_hours: int = 2 # slow/location path: max hours since last call
embedding_similarity_threshold: float = 0.93 # slow-path: requires location corroboration
embedding_no_location_threshold: float = 0.97 # slow-path: match without location (very high bar)
embedding_cross_tg_threshold: float = 0.85 # cross-TG path: same dept + 2+ shared units
location_proximity_km: float = 0.5 # radius for location-proximity matching
geocode_max_km: float = 40.0 # reject geocode results farther than this from the node
incident_auto_resolve_minutes: int = 90 # auto-resolve after N minutes with no new calls
unit_continuity_max_idle_minutes: int = 20 # unit-continuity path: skip if incident idle > this
recorrelation_scan_minutes: int = 60 # re-examine orphaned calls ended within this window
tg_fast_path_idle_minutes: int = 90 # fast path: max minutes since incident last updated
tg_dispatch_thin_idle_minutes: int = 10 # dispatch channels only: thin calls only attach to incidents idle < this many minutes
# Vocabulary learning
vocabulary_induction_interval_hours: int = 24 # how often the induction loop runs
vocabulary_induction_sample_tokens: int = 4000 # ~tokens of transcript text sampled per system
# Internal service key — allows server-side services (discord bot) to call C2 without Firebase
service_key: Optional[str] = None
# Fleet-wide token edge nodes present to POST /nodes/enroll on first boot.
# Not a per-node secret — see routers/enrollment.py for why a leaked copy
# of this alone can't steal an already-approved node's key.
enrollment_token: Optional[str] = None
# Upload size limit — reject audio files larger than this (bytes). Default 100 MB.
upload_max_bytes: int = 100 * 1024 * 1024
# Public origin this API is reachable on, e.g. "https://api.drb.example.com".
# Only used to build absolute call-audio playback links: an <audio src> is
# fetched by the browser directly, so a relative path would resolve against
# the frontend origin, not this one.
public_api_url: Optional[str] = None
# How long a minted call-audio playback link stays valid. Long enough for a
# browsing session, short enough that a copied link isn't durable access.
audio_link_ttl_seconds: int = 6 * 60 * 60
# Two nodes hearing the same transmission start recording within about a
# second of each other (measured across node-002/node-PI-2 on TG 9048).
# 10s is generous against clock skew while staying well under the gap
# between genuinely separate transmissions on a busy dispatch channel.
duplicate_window_seconds: int = 10
# CORS — set to your frontend origin(s) in production, e.g. ["https://app.example.com"]
# Defaults to "*" for local development only.
cors_origins: list[str] = ["*"]
class Config:
env_file = ".env"
settings = Settings()