mnemo-showcase/samples/models.py at master · CreatmanCEO/mnemo-showcase · GitHub

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# Excerpted from MNEMO (private repo).
# See ARCHITECTURE.md for full system context.

"""SQLAlchemy ORM models for the MNEMO event store."""
from __future__ import annotations

from datetime import datetime

from sqlalchemy import Boolean, DateTime, Float, ForeignKey, Index, Integer, String, Text, func
from sqlalchemy.dialects.postgresql import JSONB
from sqlalchemy.orm import Mapped, mapped_column
from sqlalchemy.types import JSON

from .db import Base, engine
from .embeddings.types import vector_column_type

# JSONB on Postgres, JSON on SQLite (tests)
_JSON_TYPE = JSONB().with_variant(JSON(), "sqlite")


class Event(Base):
    __tablename__ = "events"

    id: Mapped[str] = mapped_column(String(16), primary_key=True)
    ts: Mapped[datetime] = mapped_column(DateTime(timezone=True), nullable=False, index=True)
    project: Mapped[str] = mapped_column(String(64), nullable=False, index=True)
    type: Mapped[str] = mapped_column(String(32), nullable=False, index=True)
    actors: Mapped[list] = mapped_column(_JSON_TYPE, nullable=False, default=list)
    projects: Mapped[list] = mapped_column(_JSON_TYPE, nullable=False, default=list)
    summary: Mapped[str] = mapped_column(Text, nullable=False)
    evidence_links: Mapped[list] = mapped_column(_JSON_TYPE, nullable=False, default=list)
    confidence: Mapped[float] = mapped_column(Float, nullable=False)
    salience: Mapped[float] = mapped_column(Float, nullable=False, default=0.5)
    privacy: Mapped[str] = mapped_column(
        String(16), nullable=False, default="public", server_default="public"
    )
    possible_duplicate_of: Mapped[str | None] = mapped_column(String(16), nullable=True)
    supersedes: Mapped[list] = mapped_column(_JSON_TYPE, nullable=False, default=list)
    superseded_by: Mapped[str | None] = mapped_column(
        String(16),
        ForeignKey("events.id", ondelete="SET NULL"),
        nullable=True,
        index=True,
    )
    thread_id: Mapped[str | None] = mapped_column(
        String(32),
        ForeignKey("event_threads.id", ondelete="SET NULL"),
        nullable=True,
        index=True,
    )
    produced_by_agent: Mapped[str | None] = mapped_column(
        String(64), nullable=True, index=True
    )
    session_id: Mapped[str | None] = mapped_column(
        String(64), nullable=True, index=True
    )
    created_at: Mapped[datetime] = mapped_column(
        DateTime(timezone=True), nullable=False, server_default=func.now()
    )


class EventThread(Base):
    __tablename__ = "event_threads"

    id: Mapped[str] = mapped_column(String(32), primary_key=True)
    name: Mapped[str] = mapped_column(Text, nullable=False)
    summary: Mapped[str | None] = mapped_column(Text, nullable=True)
    started_at: Mapped[datetime | None] = mapped_column(DateTime(timezone=True), nullable=True)
    ended_at: Mapped[datetime | None] = mapped_column(DateTime(timezone=True), nullable=True)
    status: Mapped[str] = mapped_column(String(16), nullable=False, default="active")
    projects: Mapped[list] = mapped_column(_JSON_TYPE, nullable=False, default=list)
    created_at: Mapped[datetime] = mapped_column(
        DateTime(timezone=True), nullable=False, server_default=func.now()
    )


class EventContent(Base):
    __tablename__ = "event_content"

    event_id: Mapped[str] = mapped_column(
        String(16), ForeignKey("events.id", ondelete="CASCADE"), primary_key=True
    )
    content: Mapped[str] = mapped_column(Text, nullable=False)
    turn_count: Mapped[int | None] = mapped_column(Integer, nullable=True)
    word_count: Mapped[int | None] = mapped_column(Integer, nullable=True)
    source_hash: Mapped[str | None] = mapped_column(String(64), nullable=True)
    privacy: Mapped[str] = mapped_column(
        String(16), nullable=False, default="public", server_default="public"
    )
    created_at: Mapped[datetime] = mapped_column(
        DateTime(timezone=True), nullable=False, server_default=func.now()
    )


class EventEmbedding(Base):
    __tablename__ = "event_embeddings"

    event_id: Mapped[str] = mapped_column(
        String(16), ForeignKey("events.id", ondelete="CASCADE"), primary_key=True
    )
    model: Mapped[str] = mapped_column(String(64), nullable=False)
    embedding = mapped_column(vector_column_type(1024), nullable=False)
    hash: Mapped[str] = mapped_column(String(64), nullable=False)
    created_at: Mapped[datetime] = mapped_column(
        DateTime(timezone=True), nullable=False, server_default=func.now()
    )


class RefreshLog(Base):
    __tablename__ = "refresh_log"

    id: Mapped[int] = mapped_column(Integer, primary_key=True, autoincrement=True)
    source: Mapped[str] = mapped_column(String(32), nullable=False, index=True)
    ts: Mapped[datetime] = mapped_column(DateTime(timezone=True), nullable=False, index=True)
    events_emitted: Mapped[int] = mapped_column(Integer, nullable=False, default=0)
    skipped: Mapped[bool] = mapped_column(Boolean, nullable=False, default=False)
    error: Mapped[str | None] = mapped_column(Text, nullable=True)
    duration_seconds: Mapped[float] = mapped_column(Float, nullable=False, default=0.0)


class Skill(Base):
    __tablename__ = "skills"

    id: Mapped[str] = mapped_column(String(64), primary_key=True)
    name: Mapped[str] = mapped_column(Text, nullable=False)
    body: Mapped[str] = mapped_column(Text, nullable=False)
    topic: Mapped[str] = mapped_column(String(64), nullable=False, index=True)
    author_agent: Mapped[str] = mapped_column(String(64), nullable=False)
    eval_pass_rate: Mapped[float] = mapped_column(
        Float, nullable=False, default=0.0, server_default="0.0"
    )
    eval_count: Mapped[int] = mapped_column(
        Integer, nullable=False, default=0, server_default="0"
    )
    confidence: Mapped[float] = mapped_column(
        Float, nullable=False, default=0.0, server_default="0.0"
    )
    is_active: Mapped[bool] = mapped_column(
        Boolean, nullable=False, default=True, server_default="1", index=True
    )
    created_at: Mapped[datetime] = mapped_column(
        DateTime(timezone=True), nullable=False, server_default=func.now()
    )
    updated_at: Mapped[datetime] = mapped_column(
        DateTime(timezone=True),
        nullable=False,
        server_default=func.now(),
        onupdate=func.now(),
    )


class EvalTrace(Base):
    __tablename__ = "eval_traces"

    id: Mapped[str] = mapped_column(String(32), primary_key=True)
    skill_id: Mapped[str | None] = mapped_column(
        String(64),
        ForeignKey("skills.id", ondelete="SET NULL"),
        nullable=True,
        index=True,
    )
    ts: Mapped[datetime] = mapped_column(DateTime(timezone=True), nullable=False, index=True)
    agent: Mapped[str] = mapped_column(String(64), nullable=False, index=True)
    success: Mapped[bool] = mapped_column(Boolean, nullable=False, index=True)
    duration_ms: Mapped[int] = mapped_column(Integer, nullable=False, default=0)
    token_cost_in: Mapped[int] = mapped_column(Integer, nullable=False, default=0)
    token_cost_out: Mapped[int] = mapped_column(Integer, nullable=False, default=0)
    hallucination_score: Mapped[float] = mapped_column(Float, nullable=False, default=0.0)
    calls: Mapped[list] = mapped_column(_JSON_TYPE, nullable=False, default=list)
    summary: Mapped[str | None] = mapped_column(Text, nullable=True)
    created_at: Mapped[datetime] = mapped_column(
        DateTime(timezone=True), nullable=False, server_default=func.now()
    )


# Composite indexes for common query patterns
Index("idx_events_project_ts", Event.project, Event.ts)


def init_db() -> None:
    """Create tables if they don't exist. Idempotent."""
    Base.metadata.create_all(bind=engine)