8b660d8e10
Correlator
- Raise fast-path idle gate 30 → 90 min (tg_fast_path_idle_minutes)
- Fix disambiguate always-commits bug: run _call_fits_incident on winner
before committing; fall through to new-incident creation if it fails
- Add unit-continuity path (path 1.5): matches all_active by shared unit
IDs with a reassignment guard, bridges calls past the idle gate
- Add tag-based incident_type inference (_TAG_TYPE_HINTS) as GPT fallback,
rescuing tagged calls that would have been dropped (616 observed orphans)
- Add master/child incident model: _create_master_incident, _demote_to_child,
_add_child_to_master; new incidents stamped incident_type="master"
- Add cross-system parent detection (_find_cross_system_parent): two-signal
scoring (road overlap=0.4, embedding≥0.78=0.3, proximity=0.3, threshold=0.5)
wired into create-if-new path; creates master shell on first cross-system match
- Add maybe_resolve_parent: auto-resolves master when all children close;
called from upload pipeline (LLM closure) and summarizer stale sweep
- Add signal-based auto-resolve via units_active/units_cleared tracking:
GPT now extracts cleared_units per scene; _update_incident moves units
between active/cleared lists and resolves the incident when active empties;
stored on call doc for re-correlation sweep reuse
- Add _create_incident initialization of units_active/units_cleared fields
Re-correlation sweep
- Add corr_sweep_count + MAX_SWEEP_ATTEMPTS=3: orphans get 3 attempts
then are tombstoned as corr_path="unlinked", ending the re-sweep loop
(previously hammering each orphan 29-31 times per shift)
Intelligence extraction
- Add cleared_units to GPT prompt schema and rules
- Extract and propagate cleared_units per scene; merge across scenes;
store on call doc for re-correlation sweep
Token management
- Fix token release bug: remove release_token call on discord_connected=False
in MQTT checkin (transient Discord drops were orphaning bots mid-shift)
- Add PUT /tokens/{id}/prefer/{system_id} endpoint: lock a bot token to a
system; pass _none as system_id to clear; stored bidirectionally on both
token and system documents
- discord_join handler resolves preferred_token_id from system doc and passes
system_name in MQTT payload
50 lines
2.1 KiB
Python
50 lines
2.1 KiB
Python
from pydantic_settings import BaseSettings
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from typing import Optional
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class Settings(BaseSettings):
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# MQTT
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mqtt_broker: str = "localhost"
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mqtt_port: int = 1883
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mqtt_user: Optional[str] = None
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mqtt_pass: Optional[str] = None
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# GCP
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gcp_credentials_path: Optional[str] = None # None → uses ADC
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gcs_bucket: Optional[str] = None # None → audio upload disabled
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firestore_database: str = "(default)"
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# Node health
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node_offline_threshold: int = 90 # seconds without checkin before marking offline
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# OpenAI (Whisper STT)
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openai_api_key: Optional[str] = None
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# Gemini (intelligence extraction, embeddings, incident summaries)
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gemini_api_key: Optional[str] = None
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summary_interval_minutes: int = 2 # how often the summary loop runs
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correlation_window_hours: int = 2 # slow/location path: max hours since last call
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embedding_similarity_threshold: float = 0.93 # slow-path: requires location corroboration
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embedding_no_location_threshold: float = 0.97 # slow-path: match without location (very high bar)
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embedding_cross_tg_threshold: float = 0.85 # cross-TG path: same dept + 2+ shared units
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location_proximity_km: float = 0.5 # radius for location-proximity matching
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incident_auto_resolve_minutes: int = 90 # auto-resolve after N minutes with no new calls
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recorrelation_scan_minutes: int = 60 # re-examine orphaned calls ended within this window
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tg_fast_path_idle_minutes: int = 90 # fast path: max minutes since incident last updated
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# Vocabulary learning
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vocabulary_induction_interval_hours: int = 24 # how often the induction loop runs
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vocabulary_induction_sample_tokens: int = 4000 # ~tokens of transcript text sampled per system
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# Internal service key — allows server-side services (discord bot) to call C2 without Firebase
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service_key: Optional[str] = None
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# CORS — comma-separated list of allowed origins, or "*" for all
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cors_origins: list[str] = ["*"]
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class Config:
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env_file = ".env"
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settings = Settings()
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