Postman-OpenAI集成工具

# Set your OpenAI API key
export OPENAI_API_KEY="your-openai-api-key"

# Set path to your Postman collection
export POSTMAN_COLLECTION_PATH="path/to/your/collection.json"

# Run the application
python main.py

# Create default configuration
python -c "from config import create_default_config_file; create_default_config_file()"

# Edit config.json with your settings
# Then run:
python example_usage.py

import asyncio
from main import PostmanOpenAIIntegration

async def main():
    # Initialize the integration
    integration = PostmanOpenAIIntegration(
        openai_api_key="your-openai-api-key",
        collection_path="postman_collection.json"
    )
    
    # Initialize with your collection
    await integration.initialize()
    
    # Process a query
    response = await integration.process_query("Get all users from the system")
    
    print(f"Success: {response.success}")
    print(f"Message: {response.message}")
    print(f"APIs Called: {response.api_calls_made}")

asyncio.run(main())

python example_usage.py

{
  "openai_api_key": "your-openai-api-key",
  "openai_model": "gpt-3.5-turbo",
  "collection_path": "postman_collection.json",
  "request_timeout": 30,
  "max_retries": 3,
  "delay_between_calls": 0.5,
  "log_level": "INFO"
}

# Data retrieval
"Get all users from the system"
"Show me all pending orders"
"What products are available?"

# Data manipulation
"Create a new user with name John Doe and email john@example.com"
"Update the status of order 123 to shipped"
"Delete user with ID 456"

# API exploration
"What APIs are available for user management?"
"Show me all authentication endpoints"
"What CRUD operations are supported?"

# Complex workflows
"Register a new user, create their profile, and send a welcome email"
"Process payment for order 789 and update inventory"

├── main.py              # Main application with integration logic
├── config.py            # Configuration management
├── example_usage.py     # Usage examples and interactive mode
├── requirements.txt     # Python dependencies
├── README.md           # This file
├── config.json         # Configuration file (created by you)
└── postman_collection.json  # Your exported Postman collection

@dataclass
class QueryResponse:
    success: bool              # Whether the operation succeeded
    message: str              # Human-readable response
    data: Optional[Any]       # Raw API response data
    api_calls_made: List[str] # List of APIs that were called

export LOG_LEVEL=DEBUG
python main.py