connector-sdk-types

import os from typing import List, Dict, Any from connector_sdk.settings import ConnectorSettings from connector_sdk.models import Account, Identity # This is a simplified example. In a real scenario, you'd scaffold with 'connector-py' # and implement capabilities. The types are used within that implementation. # Define a custom settings model using the generated types class MyConnectorSettings(ConnectorSettings): api_key: str = os.environ.get('MY_CONNECTOR_API_KEY', '') base_url: str = os.environ.get('MY_CONNECTOR_BASE_URL', 'https://api.example.com') # A hypothetical function demonstrating usage of types def fetch_accounts(settings: MyConnectorSettings) -> List[Account]: print(f"Fetching accounts from {settings.base_url} with key: {settings.api_key[:5]}...") # In a real connector, this would make API calls and map responses to Account objects mock_accounts: List[Account] = [ Account(identity=Identity(id='user1', username='john.doe', email='john.doe@example.com'), attributes={'firstName': 'John', 'lastName': 'Doe'}), Account(identity=Identity(id='user2', username='jane.smith', email='jane.smith@example.com'), attributes={'firstName': 'Jane', 'lastName': 'Smith'}) ] return mock_accounts if __name__ == '__main__': # Example usage (usually managed by the connector-py framework) settings_instance = MyConnectorSettings() if not settings_instance.api_key: print("Warning: MY_CONNECTOR_API_KEY not set in environment. Using empty string.") accounts = fetch_accounts(settings_instance) print(f"Fetched {len(accounts)} accounts:") for account in accounts: print(f" - ID: {account.identity.id}, Username: {account.identity.username}, Email: {account.identity.email}")