wren
535d97a70c
17-table PostgreSQL schema with full Chinese column comments, FastAPI project structure (admin/common/modules), DSL rule files, and schema migration scripts.
61 lines
3.1 KiB
Python
61 lines
3.1 KiB
Python
"""LeAudit AuditRun 模型 —— leaudit_audit_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, Boolean, DateTime, Integer, Numeric, String
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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 LeauditAuditRun(BaseModel):
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"""评查运行主表。"""
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__tablename__ = "leaudit_audit_runs"
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Id: Mapped[int] = mapped_column(BigInteger, primary_key=True, autoincrement=True)
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documentId: Mapped[int] = mapped_column(BigInteger, comment="关联 leaudit_documents.id")
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documentFileId: Mapped[int | None] = mapped_column(BigInteger, comment="输入文件ID")
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runNo: Mapped[int] = mapped_column(Integer, comment="同一文档第几次执行")
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triggerSource: Mapped[str] = mapped_column(String(64), comment="upload/manual/retry/migration/batch")
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triggerUserId: Mapped[int | None] = mapped_column(BigInteger, comment="触发人")
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taskId: Mapped[str | None] = mapped_column(String(128), comment="Celery 任务 ID")
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# 状态
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status: Mapped[str] = mapped_column(String(64), default="pending", comment="pending/processing/completed/failed/cancelled")
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phase: Mapped[str | None] = mapped_column(String(32), comment="draft/executed")
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# 规则溯源
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ruleSetId: Mapped[int] = mapped_column(BigInteger, comment="关联 leaudit_rule_sets.id")
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ruleVersionId: Mapped[int] = mapped_column(BigInteger, comment="关联 leaudit_rule_versions.id")
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ruleTypeId: Mapped[str | None] = mapped_column(String(256), comment="LeAudit metadata.type_id")
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ruleSourceOssUrl: Mapped[str | None] = mapped_column(String(2048), comment="规则 YAML OSS 地址")
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ruleSourceSha256: Mapped[str | None] = mapped_column(String(64), comment="规则文件 SHA256")
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ruleLocalCachePath: Mapped[str | None] = mapped_column(String(1024), comment="本地缓存路径")
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# 模型快照
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engineVersion: Mapped[str | None] = mapped_column(String(64))
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llmProvider: Mapped[str | None] = mapped_column(String(64))
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llmModel: Mapped[str | None] = mapped_column(String(128))
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vlmProvider: Mapped[str | None] = mapped_column(String(64))
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vlmModel: Mapped[str | None] = mapped_column(String(128))
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ocrProvider: Mapped[str | None] = mapped_column(String(64))
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ocrModel: Mapped[str | None] = mapped_column(String(128))
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# Rescue
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rescueMode: Mapped[str | None] = mapped_column(String(32), comment="off/tier1/auto")
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rescueApplied: Mapped[bool] = mapped_column(Boolean, default=False, comment="是否执行 rescue")
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# 结果汇总
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totalScore: Mapped[float | None] = mapped_column(Numeric(10, 2))
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passedCount: Mapped[int | None] = mapped_column(Integer)
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failedCount: Mapped[int | None] = mapped_column(Integer)
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skippedCount: Mapped[int | None] = mapped_column(Integer)
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resultStatus: Mapped[str | None] = mapped_column(String(32), comment="pass/fail/partial/error")
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# 时间
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startedAt: Mapped[datetime | None] = mapped_column(DateTime(timezone=True))
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finishedAt: Mapped[datetime | None] = mapped_column(DateTime(timezone=True))
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