refactor: 下沉处理历史筛选到 audit 服务层
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@@ -133,6 +133,53 @@ def create_notification_record(
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)
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def build_history_list_context(
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*,
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scenario_id: str = "",
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keyword: str = "",
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notify_status: str = "",
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risk_status: str = "",
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) -> dict:
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"""
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组装处理历史列表页所需的筛选结果与展示上下文。
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View 只负责读取 query params,筛选逻辑和列表聚合统一在服务层完成。
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"""
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logs = AgentAuditLog.objects.all()
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if scenario_id:
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logs = logs.filter(scenario_id=scenario_id)
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if keyword:
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logs = logs.filter(product_name__icontains=keyword) | logs.filter(batch_id__icontains=keyword)
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if notify_status:
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matched_pairs = list(
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NotificationRecord.objects.filter(message_status=notify_status).values_list(
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"batch_id",
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"conversation_id",
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)
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)
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logs = [
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log
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for log in logs
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if (log.batch_id, log.conversation_id) in matched_pairs
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]
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if risk_status:
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logs = [
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log
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for log in logs
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if (log.structured_output or {}).get("highest_risk_level") == risk_status
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or (log.structured_output or {}).get("risk_level") == risk_status
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]
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history_rows = build_history_rows(logs)
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return {
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"history_rows": history_rows,
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"history_metrics": build_history_metrics(history_rows),
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"selected_scenario_id": scenario_id,
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"keyword": keyword,
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"notify_status": notify_status,
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"risk_status": risk_status,
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}
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def build_history_rows(logs) -> list[dict]:
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"""
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为处理历史列表补齐风险状态和通知状态。
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@@ -4,55 +4,20 @@ from .models import AgentAuditLog, NotificationRecord
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from apps.chat.models import Conversation
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from .services import (
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build_detail_summary,
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build_history_metrics,
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build_history_rows,
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build_history_list_context,
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normalize_conversation_node_results,
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)
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def log_list(request):
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# 处理历史页支持按批次、产品和状态筛选。
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scenario_id = (request.GET.get("scenario_id") or "").strip()
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keyword = (request.GET.get("keyword") or "").strip()
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notify_status = (request.GET.get("notify_status") or "").strip()
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risk_status = (request.GET.get("risk_status") or "").strip()
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logs = AgentAuditLog.objects.all()
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if scenario_id:
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logs = logs.filter(scenario_id=scenario_id)
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if keyword:
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logs = logs.filter(product_name__icontains=keyword) | logs.filter(batch_id__icontains=keyword)
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if notify_status:
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matched_pairs = list(
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NotificationRecord.objects.filter(message_status=notify_status).values_list(
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"batch_id",
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"conversation_id",
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)
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)
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logs = [
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log
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for log in logs
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if (log.batch_id, log.conversation_id) in matched_pairs
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]
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if risk_status:
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logs = [
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log
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for log in logs
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if (log.structured_output or {}).get("highest_risk_level") == risk_status
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or (log.structured_output or {}).get("risk_level") == risk_status
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]
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history_rows = build_history_rows(logs)
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return render(
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request,
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"audit/log_list.html",
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{
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"history_rows": history_rows,
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"history_metrics": build_history_metrics(history_rows),
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"selected_scenario_id": scenario_id,
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"keyword": keyword,
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"notify_status": notify_status,
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"risk_status": risk_status,
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},
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context = build_history_list_context(
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scenario_id=(request.GET.get("scenario_id") or "").strip(),
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keyword=(request.GET.get("keyword") or "").strip(),
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notify_status=(request.GET.get("notify_status") or "").strip(),
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risk_status=(request.GET.get("risk_status") or "").strip(),
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)
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return render(request, "audit/log_list.html", context)
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def log_detail(request, log_id: int):
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@@ -2,7 +2,7 @@ from django.urls import reverse
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from agent_core.results import AgentResult
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from apps.audit.models import AgentAuditLog, DemoBusinessRecord, NotificationRecord
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from apps.audit.services import create_audit_log, create_notification_record
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from apps.audit.services import build_history_list_context, create_audit_log, create_notification_record
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from apps.chat.models import Conversation
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from apps.documents.models import SubmissionBatch
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from agent_core.tools.builtin_tools import query_demo_records
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@@ -344,6 +344,71 @@ def test_audit_list_can_filter_by_risk_status(client, db):
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assert "产品B" not in content
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def test_build_history_list_context_filters_by_keyword_notify_and_risk(db):
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create_audit_log(
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"document_review",
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"注册审核智能体",
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"问题一",
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AgentResult(
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answer="回答一",
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status="success",
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structured_output={"highest_risk_level": "high"},
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),
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batch_id="SUB-20260604-011",
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conversation_id="conv-011",
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product_name="产品A",
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)
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create_audit_log(
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"document_review",
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"注册审核智能体",
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"问题二",
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AgentResult(
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answer="回答二",
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status="success",
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structured_output={"highest_risk_level": "low"},
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),
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batch_id="SUB-20260604-012",
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conversation_id="conv-012",
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product_name="产品B",
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)
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create_notification_record(
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batch_id="SUB-20260604-011",
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conversation_id="conv-011",
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product_name="产品A",
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trigger_source="risk_report",
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notify_reason="task_completed",
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owner_role="注册资料负责人",
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feishu_user_id="ou_demo_11",
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message_status="sent",
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web_detail_url="https://example.com/detail/11",
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receipt={"message_id": "msg-11"},
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)
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create_notification_record(
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batch_id="SUB-20260604-012",
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conversation_id="conv-012",
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product_name="产品B",
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trigger_source="risk_report",
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notify_reason="task_failed",
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owner_role="注册资料负责人",
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feishu_user_id="ou_demo_12",
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message_status="failed",
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web_detail_url="https://example.com/detail/12",
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receipt={"message_id": "msg-12"},
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)
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context = build_history_list_context(
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keyword="产品A",
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notify_status="sent",
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risk_status="high",
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)
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assert context["keyword"] == "产品A"
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assert context["notify_status"] == "sent"
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assert context["risk_status"] == "high"
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assert len(context["history_rows"]) == 1
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assert context["history_rows"][0]["log"].product_name == "产品A"
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def test_audit_detail_page_shows_conversation_node_results(client, db):
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Conversation.objects.create(
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conversation_id="conv-001",
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