87 lines
3.3 KiB
Python
87 lines
3.3 KiB
Python
from __future__ import annotations
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from datetime import datetime, timezone
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from uuid import uuid4
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from sqlalchemy import JSON, DateTime, Float, Integer, String, Text
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from sqlalchemy.orm import DeclarativeBase, Mapped, mapped_column
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def _utcnow() -> datetime:
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return datetime.now(timezone.utc)
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class Base(DeclarativeBase):
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pass
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class AuditLog(Base):
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__tablename__ = "audit_logs"
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id: Mapped[str] = mapped_column(
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String(36), primary_key=True, default=lambda: str(uuid4())
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)
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created_at: Mapped[datetime] = mapped_column(
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DateTime(timezone=True), default=_utcnow, index=True
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)
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method: Mapped[str] = mapped_column(String(12), index=True)
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path: Mapped[str] = mapped_column(String(300), index=True)
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query_string: Mapped[str] = mapped_column(String(1000), default="")
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status_code: Mapped[int] = mapped_column(Integer, index=True)
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duration_ms: Mapped[float] = mapped_column(Float)
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trace_id: Mapped[str | None] = mapped_column(String(32), nullable=True, index=True)
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span_id: Mapped[str | None] = mapped_column(String(16), nullable=True, index=True)
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client_ip: Mapped[str | None] = mapped_column(String(120), nullable=True)
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user_agent: Mapped[str | None] = mapped_column(Text, nullable=True)
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details: Mapped[dict] = mapped_column(JSON, default=dict)
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class ForecastRun(Base):
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__tablename__ = "forecast_runs"
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id: Mapped[str] = mapped_column(
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String(36), primary_key=True, default=lambda: str(uuid4())
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)
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created_at: Mapped[datetime] = mapped_column(
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DateTime(timezone=True), default=_utcnow, index=True
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)
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horizon_days: Mapped[int] = mapped_column(Integer)
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point_count: Mapped[int] = mapped_column(Integer)
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trigger_source: Mapped[str] = mapped_column(String(64), index=True)
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trace_id: Mapped[str | None] = mapped_column(String(32), nullable=True, index=True)
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span_id: Mapped[str | None] = mapped_column(String(16), nullable=True, index=True)
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payload: Mapped[list[dict]] = mapped_column(JSON, default=list)
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class RankingRun(Base):
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__tablename__ = "ranking_runs"
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id: Mapped[str] = mapped_column(
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String(36), primary_key=True, default=lambda: str(uuid4())
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)
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created_at: Mapped[datetime] = mapped_column(
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DateTime(timezone=True), default=_utcnow, index=True
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)
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top_n: Mapped[int] = mapped_column(Integer)
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item_count: Mapped[int] = mapped_column(Integer)
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trigger_source: Mapped[str] = mapped_column(String(64), index=True)
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trace_id: Mapped[str | None] = mapped_column(String(32), nullable=True, index=True)
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span_id: Mapped[str | None] = mapped_column(String(16), nullable=True, index=True)
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payload: Mapped[list[dict]] = mapped_column(JSON, default=list)
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class RecommendationRun(Base):
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__tablename__ = "recommendation_runs"
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id: Mapped[str] = mapped_column(
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String(36), primary_key=True, default=lambda: str(uuid4())
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)
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created_at: Mapped[datetime] = mapped_column(
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DateTime(timezone=True), default=_utcnow, index=True
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)
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item_count: Mapped[int] = mapped_column(Integer)
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trigger_source: Mapped[str] = mapped_column(String(64), index=True)
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trace_id: Mapped[str | None] = mapped_column(String(32), nullable=True, index=True)
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span_id: Mapped[str | None] = mapped_column(String(16), nullable=True, index=True)
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payload: Mapped[list[dict]] = mapped_column(JSON, default=list)
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