b9110f45de
- WS /ws/session: modes, summon, anomaly fragments, streaming direct contact,
passive wire-ghost ambient loop, per-user rate limits, event transcript
- entities: anomaly-signature fingerprinting, LLM minting + procedural
fallback, Codex matching with contact counts and sightings
- tts: 8 local Piper voices (EN/ES), per-entity voice profiles, numpy
effects chain (pitch/rate/bitcrush/echo/static)
- llm: streaming client, submit_stream in bounded queue, SpiritService
with offline fallbacks for every channel
- routes: public /api/codex, /api/codex/{id}, /api/stats; /audio static mount
- models: Entity, EntitySighting, Event, ContactSession(entity_id, language)
24 lines
874 B
Python
24 lines
874 B
Python
import uuid
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from datetime import datetime, timezone
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from sqlalchemy import DateTime, ForeignKey, String
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from sqlalchemy.orm import Mapped, mapped_column
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from app.db import Base
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class ContactSession(Base):
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__tablename__ = "contact_sessions"
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id: Mapped[uuid.UUID] = mapped_column(primary_key=True, default=uuid.uuid4)
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user_id: Mapped[uuid.UUID] = mapped_column(ForeignKey("users.id"))
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entity_id: Mapped[uuid.UUID | None] = mapped_column(
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ForeignKey("entities.id"), nullable=True
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)
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mode: Mapped[str] = mapped_column(String(32), default="unknown")
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language: Mapped[str] = mapped_column(String(8), default="en")
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started_at: Mapped[datetime] = mapped_column(
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DateTime(timezone=True), default=lambda: datetime.now(timezone.utc)
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)
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ended_at: Mapped[datetime | None] = mapped_column(DateTime(timezone=True), nullable=True)
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