Iyeoluwa Akinrinola
103 lines
3.0 KiB
Bash
Executable File
103 lines
3.0 KiB
Bash
Executable File
#!/bin/bash
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# Stop any existing service
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pkill -f "uvicorn ai_service.api:app" || true
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# Create data directory if it doesn't exist
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mkdir -p ai_service/data
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# Set environment variables for testing
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# In production, replace these with your actual API keys
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export PINECONE_API_KEY="test-pinecone-api-key"
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export PINECONE_ENVIRONMENT="test-pinecone-environment"
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export OPENAI_API_KEY="test-openai-api-key"
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# Create empty files for local storage if they don't exist
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touch ai_service/data/chatbot.db
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touch ai_service/data/document_metadata.json
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touch ai_service/data/chats.json
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# For testing purposes, we'll use a simplified API
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echo "Starting Simple API Service on port 5251..."
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VENV_PATH="./venv"
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PYTHON_PATH="$VENV_PATH/bin/python"
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# Check if the virtual environment exists
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if [ -f "$PYTHON_PATH" ]; then
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echo "Using Python from virtual environment: $PYTHON_PATH"
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# Use the simplified API for testing
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nohup $PYTHON_PATH simple_api.py > ai_service.log 2>&1 &
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else
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echo "Virtual environment not found at $VENV_PATH, using system Python"
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nohup python simple_api.py > ai_service.log 2>&1 &
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fi
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# Wait a moment for the service to start
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sleep 2
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# Check if the service is running
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if pgrep -f "simple_api.py" > /dev/null; then
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echo "AI Service started successfully on port 5251"
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echo "Check ai_service.log for output"
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echo "To stop the service, run: pkill -f \"simple_api.py\""
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# Test the health endpoint
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echo -e "\nTesting health endpoint..."
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curl -s http://localhost:5251/health
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echo -e "\n"
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# Test creating a chat and sending a message
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echo "Testing chat creation and message sending..."
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if [ -f "$PYTHON_PATH" ]; then
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# Create a simple test script
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cat > test_api.py << 'EOF'
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import requests
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import json
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# Create a chat
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response = requests.post(
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"http://localhost:5251/chats",
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json={
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"user_id": "test_user",
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"title": "Test Chat",
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"model_id": "gpt-3.5-turbo"
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}
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)
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if response.status_code == 200:
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chat_id = response.json()["id"]
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print(f"Chat created with ID: {chat_id}")
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# Send a message with parameters
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response = requests.post(
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f"http://localhost:5251/chats/{chat_id}/messages",
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json={
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"message": "Hello, AI!",
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"user_id": "test_user",
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"temperature": 0.7,
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"max_tokens": 100
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}
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)
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if response.status_code == 200:
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print("Message sent successfully")
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print(f"Response: {response.json()['content'][:100]}...")
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else:
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print(f"Error sending message: {response.status_code}")
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print(response.text)
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else:
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print(f"Error creating chat: {response.status_code}")
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print(response.text)
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EOF
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# Run the test script with the virtual environment's Python
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$PYTHON_PATH test_api.py
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rm test_api.py
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else
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echo "Skipping API test as virtual environment Python is not available"
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fi
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else
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echo "Failed to start AI Service. Check ai_service.log for errors."
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exit 1
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fi
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