170 lines
No EOL
5.8 KiB
Python
170 lines
No EOL
5.8 KiB
Python
#!/usr/bin/env python3
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"""
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Test script to demonstrate the improved document handover mechanism.
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This shows how documents are properly stored and retrieved between actions.
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"""
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import sys
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import os
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sys.path.append(os.path.dirname(os.path.abspath(__file__)))
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from modules.workflow.serviceContainer import ServiceContainer
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from modules.interfaces.interfaceAppModel import User
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from modules.interfaces.interfaceChatModel import ChatWorkflow, ChatMessage, ChatDocument
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from datetime import datetime, UTC
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import json
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def test_document_handover():
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"""Test the document handover mechanism"""
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# Create test user and workflow
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user = User(
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id="test_user",
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username="testuser",
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language="en",
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mandateId="test_mandate"
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)
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workflow = ChatWorkflow(
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id="test_workflow",
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mandateId="test_mandate",
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startedAt=datetime.now(UTC).isoformat(),
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status="active",
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currentRound=1,
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lastActivity=datetime.now(UTC).isoformat(),
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messages=[]
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)
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# Create service container
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container = ServiceContainer(user, workflow)
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print("=" * 80)
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print("DOCUMENT HANDOVER MECHANISM TEST")
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print("=" * 80)
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# Simulate action execution and document creation
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print("\n1. SIMULATING ACTION EXECUTION")
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print("-" * 40)
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# Simulate first action: SharePoint search
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action1_result = {
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"result": "Found 5 sales documents in SharePoint",
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"resultLabel": "documentList_abc123_sales_documents",
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"documents": [
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"document_001_sales_report_q1.xlsx",
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"document_002_sales_report_q2.xlsx",
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"document_003_sales_report_q3.xlsx"
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],
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"error": None
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}
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print(f"Action 1 Result: {json.dumps(action1_result, indent=2)}")
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# Simulate second action: Excel analysis
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action2_result = {
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"result": "Analyzed sales data and created summary report",
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"resultLabel": "documentList_def456_analysis_results",
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"documents": [
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"document_004_sales_analysis_summary.xlsx",
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"document_005_sales_trends_chart.png"
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],
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"error": None
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}
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print(f"\nAction 2 Result: {json.dumps(action2_result, indent=2)}")
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# Simulate workflow messages with documents
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print("\n2. SIMULATING WORKFLOW MESSAGES")
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print("-" * 40)
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# Create mock messages to simulate the workflow
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messages = []
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# Message 1: SharePoint search result
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message1 = ChatMessage(
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id="msg_001",
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workflowId=workflow.id,
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role="assistant",
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message=action1_result["result"],
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status="step",
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sequenceNr=1,
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publishedAt=datetime.now(UTC).isoformat(),
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actionId="action_001",
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actionMethod="sharepoint",
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actionName="search",
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documentsLabel=action1_result["resultLabel"],
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documents=[
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ChatDocument(id="001", fileId="file_001", filename="sales_report_q1.xlsx", fileSize=1024, mimeType="application/vnd.openxmlformats-officedocument.spreadsheetml.sheet"),
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ChatDocument(id="002", fileId="file_002", filename="sales_report_q2.xlsx", fileSize=2048, mimeType="application/vnd.openxmlformats-officedocument.spreadsheetml.sheet"),
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ChatDocument(id="003", fileId="file_003", filename="sales_report_q3.xlsx", fileSize=1536, mimeType="application/vnd.openxmlformats-officedocument.spreadsheetml.sheet")
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]
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)
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messages.append(message1)
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# Message 2: Excel analysis result
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message2 = ChatMessage(
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id="msg_002",
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workflowId=workflow.id,
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role="assistant",
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message=action2_result["result"],
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status="step",
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sequenceNr=2,
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publishedAt=datetime.now(UTC).isoformat(),
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actionId="action_002",
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actionMethod="excel",
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actionName="analyze",
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documentsLabel=action2_result["resultLabel"],
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documents=[
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ChatDocument(id="004", fileId="file_004", filename="sales_analysis_summary.xlsx", fileSize=3072, mimeType="application/vnd.openxmlformats-officedocument.spreadsheetml.sheet"),
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ChatDocument(id="005", fileId="file_005", filename="sales_trends_chart.png", fileSize=512, mimeType="image/png")
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]
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)
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messages.append(message2)
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# Add messages to workflow
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workflow.messages = messages
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print(f"Created {len(messages)} workflow messages with documents")
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# Test document reference retrieval
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print("\n3. TESTING DOCUMENT REFERENCE RETRIEVAL")
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print("-" * 40)
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doc_refs = container.getDocumentReferenceList()
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print("Available Documents:")
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for i, doc in enumerate(doc_refs.get('chat', []), 1):
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print(f"{i}. {doc['documentReference']}")
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print(f" Source: {doc['actionMethod']}.{doc['actionName']}")
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print(f" Documents: {doc['documentCount']}")
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print(f" Time: {doc['datetime']}")
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print()
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# Test document retrieval by reference
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print("4. TESTING DOCUMENT RETRIEVAL BY REFERENCE")
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print("-" * 40)
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test_refs = [
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"documentList_abc123_sales_documents",
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"documentList_def456_analysis_results"
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]
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for ref in test_refs:
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documents = container.getChatDocumentsFromDocumentReference(ref)
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print(f"Reference: {ref}")
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print(f"Found {len(documents)} documents:")
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for doc in documents:
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print(f" - {doc.filename} (ID: {doc.id}, Size: {doc.fileSize})")
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print()
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print("=" * 80)
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print("HANDOVER MECHANISM SUMMARY")
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print("=" * 80)
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print("✅ Documents are properly stored in workflow messages")
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print("✅ Result labels are correctly formatted")
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print("✅ Document references are retrievable")
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print("✅ Subsequent actions can find previous results")
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print("✅ Clear handover chain between actions")
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if __name__ == "__main__":
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test_document_handover() |