129 lines
4.3 KiB
Python
129 lines
4.3 KiB
Python
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
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from apps.chat.models import Conversation
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from apps.documents.models import SubmissionBatch, UploadedDocument
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def _create_conversation_with_batch():
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batch = SubmissionBatch.objects.create(
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batch_id="SUB-20260604-001",
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product_name="新型冠状病毒 2019-nCoV 核酸检测试剂盒",
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workflow_type="registration",
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conversation_id="conv-001",
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file_count=2,
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page_count=12,
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import_status="completed",
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)
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conversation = Conversation.objects.create(
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conversation_id="conv-001",
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title="新型冠状病毒 2019-nCoV 核酸检测试剂盒",
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product_name=batch.product_name,
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batch_id=batch.batch_id,
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task_status="processing",
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node_results=[
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{"label": "资料包导入", "status": "已完成"},
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{"label": "目录汇总", "status": "处理中"},
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],
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)
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return batch, conversation
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def test_chat_post_returns_agent_result_and_audit_log(client, db, monkeypatch):
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batch, conversation = _create_conversation_with_batch()
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UploadedDocument.objects.create(
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batch=batch,
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scenario_id="document_review",
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original_name="说明书.md",
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file_type="md",
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size=1,
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status=UploadedDocument.STATUS_INDEXED,
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)
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monkeypatch.setattr(
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"apps.chat.views.run_agent",
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lambda *args, **kwargs: AgentResult(answer="模拟回答", status="success"),
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)
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response = client.post(
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reverse("chat:detail", args=[conversation.conversation_id]),
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{"message": "如何处理异常？"},
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)
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assert response.status_code == 200
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content = response.content.decode("utf-8")
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assert "审核智能体" in content
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assert "模拟回答" in content
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assert AgentAuditLog.objects.count() == 1
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assert AgentAuditLog.objects.get().batch_id == batch.batch_id
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def test_chat_rejects_empty_message(client, db):
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_batch, conversation = _create_conversation_with_batch()
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response = client.post(reverse("chat:detail", args=[conversation.conversation_id]), {"message": ""})
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assert response.status_code == 200
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assert AgentAuditLog.objects.count() == 0
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assert "请输入要咨询的问题" in response.content.decode("utf-8")
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def test_chat_passes_selected_document_ids_to_agent_core(client, db, monkeypatch):
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batch, conversation = _create_conversation_with_batch()
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selected = UploadedDocument.objects.create(
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batch=batch,
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scenario_id="document_review",
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original_name="selected.md",
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file_type="md",
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size=1,
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status=UploadedDocument.STATUS_INDEXED,
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)
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UploadedDocument.objects.create(
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batch=batch,
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scenario_id="document_review",
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original_name="other.md",
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file_type="md",
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size=1,
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status=UploadedDocument.STATUS_INDEXED,
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)
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captured = {}
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def fake_run_agent(scenario_config, user_input, options=None):
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captured["options"] = options or {}
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return AgentResult(answer="ok", status="success")
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monkeypatch.setattr("apps.chat.views.run_agent", fake_run_agent)
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response = client.post(
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reverse("chat:detail", args=[conversation.conversation_id]),
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{"message": "只查选中文档", "document_ids": [str(selected.id)]},
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)
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assert response.status_code == 200
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assert captured["options"]["document_ids"] == [selected.id]
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assert captured["options"]["conversation_id"] == conversation.conversation_id
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assert captured["options"]["batch_id"] == batch.batch_id
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def test_chat_renders_three_column_workspace_and_node_results(client, db):
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batch, conversation = _create_conversation_with_batch()
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UploadedDocument.objects.create(
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batch=batch,
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scenario_id="document_review",
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original_name="说明书.md",
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file_type="md",
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size=1,
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status=UploadedDocument.STATUS_INDEXED,
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)
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response = client.get(reverse("chat:detail", args=[conversation.conversation_id]))
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content = response.content.decode("utf-8")
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assert response.status_code == 200
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assert "会话历史" in content
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assert "对话区与节点导航" in content
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assert "上传区" in content
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assert "资料包导入 / 已完成" in content
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assert "目录汇总 / 处理中" in content
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