Python SDK for TargetAI API
Project description
TargetAI Python SDK
A Python SDK for interacting with the TargetAI API.
Installation
pip install targetai
Quick Start
Here's a complete example showing how to use the SDK:
import asyncio
from targetai import Auth
async def main():
# Initialize authentication with custom base URL (default is http://localhost:8000)
auth = Auth(
email="your_email@example.com",
password="your_password",
base_url="http://localhost:8000" # Change this to your API URL
)
try:
# Login and get tokens
response = await auth.login()
print(f"Access token: {response.access_token}")
print(f"Refresh token: {response.refresh_token}")
# Check authentication status
status = await auth.get_status()
print(f"Is authenticated: {status['isAuthenticated']}")
print(f"User info: {status['user']}")
# Refresh tokens when needed
new_tokens = await auth.refresh()
# Logout when done
await auth.logout()
finally:
# Always close the session
await auth.close()
# Run the async example
if __name__ == "__main__":
asyncio.run(main())
You can also use the context manager pattern:
async def main():
async with Auth(
email="your_email@example.com",
password="your_password",
base_url="http://localhost:8000"
) as auth:
response = await auth.login()
print(f"Successfully logged in!")
Features
- Simple authentication with email and password
- Token refresh support
- Session management with logout
- Authentication status checking
- Async support for all operations
- Type hints for better IDE support
- Configurable base URL for API endpoints
Requirements
- Python 3.7+
- aiohttp
- pydantic
License
MIT
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