wren
48 lines
3.0 KiB
Python
48 lines
3.0 KiB
Python
"""Govdoc 审查运行模型 —— govdoc_runs 表。"""
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from __future__ import annotations
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from datetime import datetime
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from sqlalchemy import BigInteger, DateTime, Integer, Numeric, String, Text
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from sqlalchemy.orm import Mapped, mapped_column
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from fastapi_common.fastapi_common_web.models import BaseModel
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class GovdocRun(BaseModel):
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"""公文审查运行主表。"""
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__tablename__ = "govdoc_runs"
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Id: Mapped[int] = mapped_column("id", BigInteger, primary_key=True, autoincrement=True)
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documentId: Mapped[int] = mapped_column("document_id", BigInteger, comment="关联 leaudit_documents.id")
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documentFileId: Mapped[int | None] = mapped_column("document_file_id", BigInteger, comment="输入文件 ID，关联 leaudit_document_files.id")
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runNo: Mapped[int] = mapped_column("run_no", Integer, default=1, comment="同一文档第几次执行")
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triggerSource: Mapped[str] = mapped_column("trigger_source", String(64), default="upload", comment="触发来源：upload/manual/retry/migration")
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triggerUserId: Mapped[int | None] = mapped_column("trigger_user_id", BigInteger, comment="触发人 user_id")
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taskId: Mapped[str | None] = mapped_column("task_id", String(128), comment="Celery 任务 ID")
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# 运行状态
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status: Mapped[str] = mapped_column("status", String(64), default="pending", comment="pending/processing/completed/failed/cancelled")
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phase: Mapped[str | None] = mapped_column("phase", String(32), comment="当前阶段：parsing/executing/reporting")
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# 引擎快照
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engineVersion: Mapped[str | None] = mapped_column("engine_version", String(64), comment="引擎版本号")
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llmProvider: Mapped[str | None] = mapped_column("llm_provider", String(64), comment="LLM 提供商")
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llmModel: Mapped[str | None] = mapped_column("llm_model", String(128), comment="LLM 模型名")
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rulesPath: Mapped[str | None] = mapped_column("rules_path", String(1024), comment="本次运行使用的规则文件路径")
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# 结果汇总
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totalScore: Mapped[float | None] = mapped_column("total_score", Numeric(10, 2), comment="总分")
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passedCount: Mapped[int | None] = mapped_column("passed_count", Integer, comment="通过规则数")
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failedCount: Mapped[int | None] = mapped_column("failed_count", Integer, comment="未通过规则数")
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skippedCount: Mapped[int | None] = mapped_column("skipped_count", Integer, comment="跳过规则数")
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resultStatus: Mapped[str | None] = mapped_column("result_status", String(32), comment="综合结果：pass/fail/partial/error")
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resultSummaryJson: Mapped[str | None] = mapped_column("result_summary_json", Text, comment="结构化结果摘要 JSON")
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errorMessage: Mapped[str | None] = mapped_column("error_message", Text, comment="运行失败时错误描述")
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# 时间
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startedAt: Mapped[datetime | None] = mapped_column("started_at", DateTime(timezone=True), comment="开始执行时间")
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finishedAt: Mapped[datetime | None] = mapped_column("finished_at", DateTime(timezone=True), comment="结束执行时间")
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