refactor: 下沉 Word 导出执行链到 chat 服务层

This commit is contained in:
2026-06-04 04:44:47 +08:00
parent 47f887647b
commit e701b4502e
3 changed files with 87 additions and 45 deletions

View File

@@ -70,6 +70,51 @@ def execute_conversation_agent(
return result, audit_log
def execute_conversation_export(*, batch, conversation: Conversation) -> dict:
"""
在服务层串起 Word 导出、会话摘要更新和审计留痕。
View 只负责提示成功/失败消息,不直接承载导出编排细节。
"""
from .export_service import (
generate_registration_export,
update_conversation_with_export_report,
)
upstream_summary = (
(conversation.latest_summary or {}).get("upstream_structured_output")
or (conversation.latest_summary or {}).get("structured_output")
or {}
)
export_report = generate_registration_export(
batch=batch,
conversation=conversation,
upstream_summary=upstream_summary,
)
update_conversation_with_export_report(conversation, export_report)
audit_log = create_audit_log(
"document_review",
"Word 回填导出",
"生成 Word 导出文件",
AgentResult(
answer=export_report.get("summary", ""),
structured_output=export_report,
status="success",
conversation_id=conversation.conversation_id,
batch_id=conversation.batch_id,
product_name=conversation.product_name,
node_results=conversation.node_results,
),
batch_id=conversation.batch_id,
conversation_id=conversation.conversation_id,
product_name=conversation.product_name,
)
return {
"export_report": export_report,
"audit_log": audit_log,
}
def _generate_conversation_id() -> str:
return f"conv-{Conversation.objects.count() + 1:03d}"

View File

@@ -4,14 +4,12 @@ from django.urls import reverse
from django.views.decorators.http import require_POST
from agent_core.results import AgentResult
from apps.audit.services import create_audit_log
from apps.documents.models import SubmissionBatch, UploadedDocument
from apps.documents.services import append_documents_to_batch
from .export_service import generate_registration_export, update_conversation_with_export_report
from .forms import ChatForm, ConversationUploadForm
from .models import Conversation
from .services import execute_conversation_agent
from .services import execute_conversation_agent, execute_conversation_export
RISK_LEVEL_DISPLAY = {
"high": "",
@@ -159,53 +157,13 @@ def upload_documents(request, conversation_id: str):
def export_word(request, conversation_id: str):
conversation = get_object_or_404(Conversation, conversation_id=conversation_id)
batch = get_object_or_404(SubmissionBatch, batch_id=conversation.batch_id)
upstream_summary = (
(conversation.latest_summary or {}).get("upstream_structured_output")
or (conversation.latest_summary or {}).get("structured_output")
or {}
)
try:
export_report = generate_registration_export(
execute_conversation_export(
batch=batch,
conversation=conversation,
upstream_summary=upstream_summary,
)
update_conversation_with_export_report(conversation, export_report)
create_audit_log(
"document_review",
"Word 回填导出",
"生成 Word 导出文件",
AgentResult(
answer=export_report.get("summary", ""),
structured_output=export_report,
status="success",
conversation_id=conversation.conversation_id,
batch_id=conversation.batch_id,
product_name=conversation.product_name,
node_results=conversation.node_results,
),
batch_id=conversation.batch_id,
conversation_id=conversation.conversation_id,
product_name=conversation.product_name,
)
messages.success(request, "已生成新的 Word 导出文件。")
except Exception as exc:
create_audit_log(
"document_review",
"Word 回填导出",
"生成 Word 导出文件",
AgentResult(
answer="",
status="failed",
error=str(exc),
conversation_id=conversation.conversation_id,
batch_id=conversation.batch_id,
product_name=conversation.product_name,
),
batch_id=conversation.batch_id,
conversation_id=conversation.conversation_id,
product_name=conversation.product_name,
)
messages.error(request, f"Word 导出失败:{exc}")
return redirect("chat:detail", conversation_id=conversation.conversation_id)

View File

@@ -8,7 +8,11 @@ from agent_core.results import AgentResult
from apps.audit.models import AgentAuditLog
from apps.audit.models import NotificationRecord
from apps.chat.models import Conversation
from apps.chat.services import create_conversation_for_batch, execute_conversation_agent
from apps.chat.services import (
create_conversation_for_batch,
execute_conversation_agent,
execute_conversation_export,
)
from apps.documents.models import ExportedDocument, SubmissionBatch, UploadedDocument
@@ -412,6 +416,41 @@ def test_execute_conversation_agent_runs_in_service_layer_and_persists_audit_and
assert record.web_detail_url == f"/audit/{audit_log.id}/"
def test_execute_conversation_export_runs_in_service_layer_and_persists_audit(db, monkeypatch):
batch, conversation = _create_conversation_with_batch()
captured = {}
def fake_generate_registration_export(*, batch, conversation, upstream_summary=None):
captured["batch_id"] = batch.batch_id
captured["conversation_id"] = conversation.conversation_id
captured["upstream_summary"] = upstream_summary or {}
return {
"output_type": "registration_word_export_report",
"summary": "已生成草稿导出文件。",
"template_name": "注册证导出模板",
"template_version": "V1.0",
"export_status": "draft_only",
"download_url": "/media/exports/demo.docx",
"output_file": {
"file_name": "demo.docx",
"relative_path": "exports/demo.docx",
"export_mode": "draft",
},
}
monkeypatch.setattr("apps.chat.export_service.generate_registration_export", fake_generate_registration_export)
result = execute_conversation_export(batch=batch, conversation=conversation)
conversation.refresh_from_db()
assert captured["batch_id"] == batch.batch_id
assert captured["conversation_id"] == conversation.conversation_id
assert result["export_report"]["output_type"] == "registration_word_export_report"
assert result["audit_log"].scenario_name == "Word 回填导出"
assert conversation.latest_summary["structured_output"]["download_url"] == "/media/exports/demo.docx"
assert AgentAuditLog.objects.filter(conversation_id=conversation.conversation_id).count() == 1
def test_chat_page_shows_upload_entry_and_dynamic_context_cards(client, db):
batch, conversation = _create_conversation_with_batch()
conversation.node_results = [