Spaces:
Running
Running
feat: added a new sections feature and recommendations and aseessments and report metadata for the ai intelligence page
12e21d8 | from app.core.database import Base | |
| from sqlalchemy import Column, Float, String, Text, DateTime, Boolean, Integer, UniqueConstraint, ForeignKey | |
| from datetime import datetime, UTC | |
| from sqlalchemy.dialects.postgresql import JSON | |
| class BatchSummary(Base): | |
| __tablename__ = "batch_summaries" | |
| id = Column(Integer, primary_key=True, index=True) | |
| job_id = Column(Integer, ForeignKey("batch_jobs.id")) | |
| summary_type = Column(String, default="full") | |
| summary = Column(JSON, nullable=True) | |
| provider = Column(String) | |
| fallback_used = Column(Boolean, default=False) | |
| fallback_reason = Column(String, nullable=True) | |
| llm_latency = Column(Float, nullable=True) | |
| estimated_token = Column(Integer, nullable=True) | |
| input_tokens = Column(Integer, nullable=True) | |
| thoughts_tokens = Column(Integer, nullable=True) | |
| output_tokens = Column(Integer, nullable=True) | |
| total_tokens = Column(Integer, nullable=True) | |
| prompt_version = Column(String, default="v1") | |
| error = Column(Text, nullable=True) | |
| created_at = Column(DateTime, default = lambda: datetime.now(UTC)) | |
| __table_args__ = (UniqueConstraint("job_id", "summary_type", name="unique_job_summary_type"), ) |