Files
DEMO-AGENT/apps/chat/views.py

161 lines
6.2 KiB
Python

from django.utils import timezone
from django.shortcuts import get_object_or_404, redirect, render
from django.urls import reverse
from agent_core.orchestrator import run_agent
from agent_core.results import AgentResult
from apps.audit.services import create_audit_log, create_notification_record
from apps.documents.models import SubmissionBatch, UploadedDocument
from apps.scenarios.services import get_scenario
from .forms import ChatForm
from .models import Conversation
def index(request):
conversations = Conversation.objects.all()
if conversations.exists():
return redirect("chat:detail", conversation_id=conversations.first().conversation_id)
return render(
request,
"chat/index.html",
{
"conversation": None,
"conversations": [],
"form": ChatForm(),
"documents": [],
"result": None,
"audit_log": None,
"node_results": [],
"active_node": None,
},
)
def detail(request, conversation_id: str):
conversation = get_object_or_404(Conversation, conversation_id=conversation_id)
batch = SubmissionBatch.objects.filter(batch_id=conversation.batch_id).first()
documents = UploadedDocument.objects.filter(batch=batch)
form = ChatForm(request.POST or None, documents=documents)
result = None
audit_log = None
active_node = None
task_modes = [
{"name": "目录汇总", "description": "汇总文件、页数、章节点和目录型文档。"},
{"name": "完整性检查", "description": "对照法规模板检查齐套性、缺失项和错放项。"},
{"name": "字段抽取", "description": "抽取产品名称、规格、适用范围、储存条件等核心字段。"},
{"name": "一致性核查", "description": "比较申请表、说明书和产品列表的字段一致性。"},
{"name": "综合风险报告", "description": "形成高优先级问题、建议动作和责任人通知。"},
]
if request.method == "POST" and form.is_valid():
scenario = get_scenario("document_review")
message = form.cleaned_data["message"]
try:
result = run_agent(
scenario,
message,
options={
"conversation_id": conversation.conversation_id,
"batch_id": conversation.batch_id,
"product_name": conversation.product_name,
"document_ids": form.cleaned_data["document_ids"],
},
)
except Exception as exc:
result = AgentResult(status="failed", error=str(exc), answer="")
audit_log = create_audit_log(
"document_review",
"注册审核智能体",
message,
result,
batch_id=conversation.batch_id,
conversation_id=conversation.conversation_id,
product_name=conversation.product_name,
)
_apply_agent_result_to_conversation(conversation, result)
_persist_notification_records(
result,
web_detail_url=reverse("audit:detail", args=[audit_log.id]),
)
active_node = "risk"
conversation.refresh_from_db()
workspace_summary = _build_workspace_summary(conversation, batch)
return render(
request,
"chat/index.html",
{
"conversation": conversation,
"conversations": Conversation.objects.all(),
"batch": batch,
"form": form,
"documents": documents,
"document_count": documents.count(),
"result": result,
"audit_log": audit_log,
"task_modes": task_modes,
"node_results": conversation.node_results,
"active_node": active_node,
"workspace_summary": workspace_summary,
},
)
def _persist_notification_records(result: AgentResult, *, web_detail_url: str = "") -> None:
payload = result.notification_payload or {}
owners = payload.get("owners") or []
if not owners:
return
for owner in owners:
create_notification_record(
batch_id=payload.get("batch_id", ""),
conversation_id=payload.get("conversation_id", ""),
product_name=payload.get("product_name", ""),
trigger_source="agent_execution",
notify_reason=payload.get("notify_reason", "task_completed"),
owner_role=owner.get("owner_role", ""),
feishu_user_id=owner.get("feishu_user_id", ""),
message_status="sent" if result.status == "success" else "failed",
web_detail_url=web_detail_url,
receipt={"status": result.status},
)
def _build_workspace_summary(conversation: Conversation, batch: SubmissionBatch | None) -> dict:
node_status_map = {node.get("label"): node.get("status", "") for node in conversation.node_results}
risk_status = node_status_map.get("风险预警", "待处理")
notify_status = node_status_map.get("飞书通知", "待处理")
export_status = node_status_map.get("Word 回填导出", "待处理")
highest_risk_level = "" if risk_status in {"已阻断", "待复核"} else ""
export_allowed = "" if risk_status in {"已阻断", "待复核"} else ""
return {
"highest_risk_level": highest_risk_level,
"export_allowed": export_allowed,
"notify_status": notify_status,
"export_status": export_status,
"file_count": batch.file_count if batch else 0,
"page_count": batch.page_count if batch else 0,
}
def _apply_agent_result_to_conversation(conversation: Conversation, result: AgentResult) -> None:
conversation.task_status = result.status
if result.node_results:
conversation.node_results = result.node_results
conversation.latest_summary = {
"answer": result.answer,
"status": result.status,
"error": result.error,
"notification_payload": result.notification_payload,
}
conversation.last_run_at = timezone.now()
conversation.save(
update_fields=[
"task_status",
"node_results",
"latest_summary",
"last_run_at",
"updated_at",
]
)