wren
104 lines
3.8 KiB
Python
104 lines
3.8 KiB
Python
"""Govdoc Bridge — 执行编排器。
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负责组织一次完整的 govdoc 审查执行链路：
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1. 解析输入文件 (input_resolver)
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2. 调用 govdoc_engine.pipeline 执行审查
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3. 收集并适配结果 (result_adapter)
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4. 持久化结果 (storage_adapter)
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"""
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from __future__ import annotations
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from dataclasses import dataclass, field
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from typing import Any
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from fastapi_common.fastapi_common_logger import logger
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from fastapi_modules.fastapi_leaudit.govdoc_bridge.input_resolver import InputResolver
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from fastapi_modules.fastapi_leaudit.govdoc_bridge.result_adapter import ResultAdapter
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from fastapi_modules.fastapi_leaudit.govdoc_bridge.storage_adapter import StorageAdapter
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log = logger
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@dataclass
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class GovdocRunner:
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"""Govdoc 引擎一次完整审查的执行编排器。
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当前为 Phase 1 骨架：
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- engine 集成点已标注
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- 可先跑通 run 创建 → 状态更新 → 结果持久化 的完整生命周期
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- 引擎执行部分待 govdoc_engine 迁入后接入
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"""
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InputResolver: InputResolver = field(default_factory=InputResolver)
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Storage: StorageAdapter = field(default_factory=StorageAdapter)
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ResultAdapter: ResultAdapter = field(default_factory=ResultAdapter)
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async def Execute(
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self,
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DocumentId: int,
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RunId: int,
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RulesPath: str,
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TriggerUserId: int | None = None,
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Speed: str = "normal",
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) -> dict[str, Any]:
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"""执行一次完整的 govdoc 审查。
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Args:
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DocumentId: 文档 ID。
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RunId: 已创建的 govdoc_runs.id。
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TriggerUserId: 触发人。
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Speed: 执行速度 ('normal' / 'urgent')。
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Returns:
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执行摘要 dict。
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"""
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log.info(f"[Govdoc] Starting execution: runId={RunId}, documentId={DocumentId}")
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# 1. 更新 run 状态 → processing
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await self.Storage.UpdateRunStatus(RunId, "processing", phase="parsing")
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await self.Storage.UpdateDocumentStatus(DocumentId, "processing", RunId)
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# 2. 解析输入文件
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inputPayload = await self.InputResolver.ResolveForDocument(DocumentId)
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log.info(f"[Govdoc] Input resolved: {inputPayload.fileName} → {inputPayload.localPath}")
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# 3. 调用 govdoc_engine 执行审查
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from fastapi_modules.fastapi_leaudit.govdoc_engine.pipeline import run as engine_run
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engineResult = await engine_run(
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file_path=inputPayload.localPath,
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rules_path=RulesPath,
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llm_client=None, # 使用默认 LlmClient (从平台配置加载)
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)
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# 4. 适配引擎结果
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runSummary = self.ResultAdapter.AdaptRunSummary(engineResult)
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ruleResults = self.ResultAdapter.AdaptRuleResults(engineResult)
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entities = self.ResultAdapter.AdaptEntities(engineResult)
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structure = self.ResultAdapter.AdaptStructure(engineResult)
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outline = self.ResultAdapter.AdaptOutline(engineResult)
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artifacts = self.ResultAdapter.AdaptArtifacts(engineResult, RunId)
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# 5. 持久化结果
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await self.Storage.UpdateRunResult(RunId, runSummary)
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await self.Storage.SaveRuleResults(RunId, ruleResults)
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await self.Storage.SaveArtifacts(RunId, artifacts)
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# 6. 更新终态
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await self.Storage.UpdateRunStatus(RunId, "completed", phase="reporting")
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await self.Storage.UpdateDocumentStatus(DocumentId, "completed", RunId)
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log.info(f"[Govdoc] Execution completed: runId={RunId}")
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return {
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"runId": RunId,
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"documentId": DocumentId,
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"status": "completed",
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"ruleResultsCount": len(ruleResults),
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"structureCount": len(structure),
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"outlineCount": len(outline),
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"artifactCount": len(artifacts),
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}
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