forked from hesabix/arc
25 lines
1 KiB
Python
25 lines
1 KiB
Python
from __future__ import annotations
|
|
|
|
from datetime import datetime
|
|
|
|
from sqlalchemy import Boolean, DateTime, ForeignKey, Integer, Text
|
|
from sqlalchemy.orm import Mapped, mapped_column
|
|
|
|
from adapters.db.session import Base
|
|
|
|
|
|
class AIEvalResult(Base):
|
|
__tablename__ = "ai_eval_results"
|
|
|
|
id: Mapped[int] = mapped_column(primary_key=True, autoincrement=True)
|
|
run_id: Mapped[int] = mapped_column(
|
|
Integer, ForeignKey("ai_eval_runs.id", ondelete="CASCADE"), nullable=False, index=True
|
|
)
|
|
case_id: Mapped[int] = mapped_column(
|
|
Integer, ForeignKey("ai_eval_cases.id", ondelete="CASCADE"), nullable=False
|
|
)
|
|
passed: Mapped[bool] = mapped_column(Boolean, nullable=False)
|
|
response_text: Mapped[str | None] = mapped_column(Text, nullable=True)
|
|
details_json: Mapped[str | None] = mapped_column(Text, nullable=True)
|
|
latency_ms: Mapped[int | None] = mapped_column(Integer, nullable=True)
|
|
created_at: Mapped[datetime] = mapped_column(DateTime, default=datetime.utcnow, nullable=False)
|