209 lines
7.7 KiB
Python
209 lines
7.7 KiB
Python
from __future__ import annotations
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import logging
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from pathlib import Path
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from threading import Thread
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from uuid import uuid4
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from django.conf import settings
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from django.db import transaction
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from django.utils import timezone
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from review_agent.models import (
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Conversation,
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FileSummaryBatch,
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Message,
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RegulatoryReviewBatch,
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WorkflowNodeRun,
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)
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from review_agent.regulatory_review.services.completeness_check import run_completeness_check
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from review_agent.regulatory_review.services.consistency_check import run_consistency_check
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from review_agent.regulatory_review.services.export import build_assistant_summary, export_review_results
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from review_agent.regulatory_review.services.risk_assess import persist_findings
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from review_agent.regulatory_review.services.rule_loader import load_rule_file
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from review_agent.regulatory_review.services.structure_check import run_structure_check
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from review_agent.regulatory_review.services.text_extract import extract_text
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from .events import record_event
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NODE_DEFINITIONS = [
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("prepare", "准备", "prepare"),
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("rule_scope", "规则范围", "rule_scope"),
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("completeness_check", "完整性核查", "completeness_check"),
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("text_extract", "文本抽取", "text_extract"),
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("structure_check", "章节核查", "structure_check"),
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("consistency_check", "一致性核查", "consistency_check"),
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("risk_assess", "风险评估", "risk_assess"),
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("report_export", "报告输出", "report_export"),
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("completed", "完成", "completed"),
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]
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logger = logging.getLogger("review_agent.regulatory_review.workflow")
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def build_batch_no() -> str:
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return f"RR-{timezone.localtime().strftime('%Y%m%d%H%M%S')}-{uuid4().hex[:6]}"
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def build_batch_work_dir(batch_no: str) -> Path:
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return Path(settings.MEDIA_ROOT) / "regulatory_review" / "work" / batch_no
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def find_latest_successful_summary_batch(conversation: Conversation) -> FileSummaryBatch | None:
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return (
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FileSummaryBatch.objects.filter(
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conversation=conversation,
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status=FileSummaryBatch.Status.SUCCESS,
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)
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.order_by("-finished_at", "-created_at", "-id")
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.first()
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)
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@transaction.atomic
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def create_regulatory_review_batch(
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*,
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conversation: Conversation,
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user,
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source_summary_batch: FileSummaryBatch,
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trigger_message: Message | None = None,
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) -> RegulatoryReviewBatch:
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batch_no = build_batch_no()
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work_dir = build_batch_work_dir(batch_no)
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work_dir.mkdir(parents=True, exist_ok=True)
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batch = RegulatoryReviewBatch.objects.create(
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conversation=conversation,
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user=user,
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trigger_message=trigger_message,
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source_summary_batch=source_summary_batch,
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batch_no=batch_no,
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work_dir=str(work_dir),
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)
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for code, name, group in NODE_DEFINITIONS:
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WorkflowNodeRun.objects.create(
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workflow_type="regulatory_review",
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workflow_batch_id=batch.pk,
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node_group=group,
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node_code=code,
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node_name=name,
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)
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record_event(batch, "workflow_created", {"batch_id": batch.pk, "batch_no": batch.batch_no})
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return batch
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class RegulatoryWorkflowExecutor:
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def __init__(self, batch: RegulatoryReviewBatch):
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self.batch = batch
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self.rule_set: dict | None = None
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self.findings = []
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self.document_texts: dict[str, str] = {}
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def run(self) -> None:
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self.batch.status = RegulatoryReviewBatch.Status.RUNNING
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self.batch.started_at = timezone.now()
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self.batch.save(update_fields=["status", "started_at"])
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record_event(self.batch, "workflow_started", {"batch_id": self.batch.pk})
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try:
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for node in self._nodes():
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self._run_node(node)
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except Exception as exc:
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logger.exception("Regulatory workflow failed", extra={"batch_id": self.batch.pk})
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self.batch.status = RegulatoryReviewBatch.Status.FAILED
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self.batch.error_message = str(exc)
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self.batch.finished_at = timezone.now()
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self.batch.save(update_fields=["status", "error_message", "finished_at"])
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record_event(self.batch, "workflow_failed", {"message": str(exc)})
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return
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self.batch.status = RegulatoryReviewBatch.Status.SUCCESS
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self.batch.finished_at = timezone.now()
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self.batch.save(update_fields=["status", "finished_at"])
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record_event(self.batch, "workflow_completed", {"batch_id": self.batch.pk})
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def _nodes(self):
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return WorkflowNodeRun.objects.filter(
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workflow_type="regulatory_review",
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workflow_batch_id=self.batch.pk,
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).order_by("id")
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def _run_node(self, node: WorkflowNodeRun) -> None:
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node.status = WorkflowNodeRun.Status.RUNNING
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node.progress = 10
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node.started_at = timezone.now()
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node.message = f"{node.node_name}处理中"
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node.save(update_fields=["status", "progress", "started_at", "message"])
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record_event(
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self.batch,
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"node_progress",
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{"node_code": node.node_code, "status": node.status, "progress": node.progress, "message": node.message},
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)
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self._execute_node(node.node_code)
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node.status = WorkflowNodeRun.Status.SUCCESS
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node.progress = 100
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node.finished_at = timezone.now()
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node.message = f"{node.node_name}完成"
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node.save(update_fields=["status", "progress", "finished_at", "message"])
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record_event(
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self.batch,
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"node_progress",
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{"node_code": node.node_code, "status": node.status, "progress": node.progress, "message": node.message},
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)
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def _execute_node(self, node_code: str) -> None:
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if node_code == "rule_scope":
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self.rule_set = load_rule_file()
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return
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if node_code == "completeness_check":
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self.findings.extend(run_completeness_check(self.batch.source_summary_batch, self._rules()))
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return
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if node_code == "text_extract":
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self.document_texts = self._extract_source_texts()
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return
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if node_code == "structure_check":
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self.findings.extend(run_structure_check(self.document_texts, self._rules()))
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return
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if node_code == "consistency_check":
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self.findings.extend(run_consistency_check(self.document_texts))
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return
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if node_code == "risk_assess":
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persist_findings(self.batch, self.findings)
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return
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if node_code == "report_export":
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exports = export_review_results(self.batch)
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Message.objects.create(
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conversation=self.batch.conversation,
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role=Message.Role.ASSISTANT,
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content=build_assistant_summary(self.batch, exports),
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)
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def _rules(self) -> dict:
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if self.rule_set is None:
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self.rule_set = load_rule_file()
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return self.rule_set
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def _extract_source_texts(self) -> dict[str, str]:
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texts = {}
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for item in self.batch.source_summary_batch.items.order_by("file_index"):
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path = Path(item.storage_path)
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if not path.is_absolute():
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path = Path(settings.MEDIA_ROOT) / item.storage_path
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if not path.exists():
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continue
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result = extract_text(path)
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if result.status == "success" and result.text:
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texts[item.file_name] = result.text
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return texts
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def start_regulatory_review_workflow(batch: RegulatoryReviewBatch, *, async_run: bool = True) -> None:
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executor = RegulatoryWorkflowExecutor(batch)
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if not async_run:
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executor.run()
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return
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Thread(target=executor.run, daemon=True).start()
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