46dea3304f
This commit integrates the backend API for fetching and updating report data. It also includes a normalization function to handle data consistency between the API and local storage. Co-authored-by: anthonymuncher <anthonymuncher@gmail.com>
37 lines
1.1 KiB
Python
37 lines
1.1 KiB
Python
#!/usr/bin/env python3
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import sys
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import os
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# Add the current directory to Python path
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sys.path.insert(0, os.path.dirname(os.path.abspath(__file__)))
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try:
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print("Testing imports...")
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from app.database import Base, engine
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print("✓ Database imports successful")
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from app.models.ticket_model import User, Ticket, TicketStatus, SeverityLevel
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print("✓ Model imports successful")
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from app.services.ticket_service import TicketService
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print("✓ Service imports successful")
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from app.services.global_ai import init_ai_service
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print("✓ AI service imports successful")
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print("\nTesting database connection...")
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Base.metadata.create_all(bind=engine)
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print("✓ Database initialized successfully")
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print("\nTesting AI service initialization...")
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ai_service = init_ai_service()
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print("✓ AI service initialized successfully")
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print("\n✅ All tests passed! The backend should work correctly.")
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except Exception as e:
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print(f"❌ Error: {e}")
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import traceback
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traceback.print_exc()
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sys.exit(1) |