function create_mixed_processor
Factory function that instantiates and returns a MixedCloudProcessor object configured with OneDrive and reMarkable cloud integration settings.
/tf/active/vicechatdev/e-ink-llm/mixed_cloud_processor.py
658 - 660
simple
Purpose
This function serves as a factory/constructor wrapper to create a MixedCloudProcessor instance. It simplifies the instantiation process by accepting configuration parameters for OneDrive integration, a reMarkable session object, and an API key, then passing them to the MixedCloudProcessor constructor. This pattern is useful for dependency injection, testing, and maintaining a clean separation between object creation and usage.
Source Code
def create_mixed_processor(onedrive_config: Dict, remarkable_session, api_key: str) -> MixedCloudProcessor:
"""Create a mixed cloud processor instance"""
return MixedCloudProcessor(onedrive_config, remarkable_session, api_key)
Parameters
| Name | Type | Default | Kind |
|---|---|---|---|
onedrive_config |
Dict | - | positional_or_keyword |
remarkable_session |
- | - | positional_or_keyword |
api_key |
str | - | positional_or_keyword |
Parameter Details
onedrive_config: A dictionary containing OneDrive configuration settings. Expected to include authentication credentials, client IDs, tenant information, or other OneDrive-specific settings required by the OneDriveClient. The exact structure depends on the OneDriveClient implementation but typically includes keys like 'client_id', 'client_secret', 'tenant_id', or 'redirect_uri'.
remarkable_session: A session object for interacting with the reMarkable cloud API. This is likely an authenticated session instance created by RemarkableAuth or a similar authentication mechanism. It should contain valid authentication tokens and connection details for making API requests to reMarkable services.
api_key: A string representing an API key for authentication or authorization purposes. This could be for the reMarkable API, a third-party service, or another cloud service that the MixedCloudProcessor needs to interact with. The key should be kept secure and not hardcoded in production environments.
Return Value
Type: MixedCloudProcessor
Returns an instance of MixedCloudProcessor, which is a class that handles operations involving both OneDrive and reMarkable cloud services. This processor object can be used to synchronize, transfer, or manage documents between these two cloud platforms. The returned object is fully initialized and ready to perform mixed cloud operations.
Dependencies
onedrive_clientrequestscloudtestPyPDF2PyPDF4
Required Imports
from typing import Dict
from onedrive_client import OneDriveClient
from onedrive_client import OneDriveProcessor
from cloudtest.auth import RemarkableAuth
Usage Example
from cloudtest.auth import RemarkableAuth
from typing import Dict
# Configure OneDrive settings
onedrive_config: Dict = {
'client_id': 'your-client-id',
'client_secret': 'your-client-secret',
'tenant_id': 'your-tenant-id',
'redirect_uri': 'http://localhost:8080'
}
# Authenticate with reMarkable
auth = RemarkableAuth()
remarkable_session = auth.authenticate()
# API key for cloud services
api_key = 'your-api-key-here'
# Create the mixed processor
processor = create_mixed_processor(
onedrive_config=onedrive_config,
remarkable_session=remarkable_session,
api_key=api_key
)
# Use the processor for cloud operations
# processor.sync_documents()
# processor.transfer_files()
Best Practices
- Store API keys and credentials securely using environment variables or secret management systems, never hardcode them
- Validate the onedrive_config dictionary structure before passing it to ensure all required keys are present
- Ensure the remarkable_session is properly authenticated before creating the processor to avoid runtime errors
- Consider implementing error handling around this function to catch instantiation failures
- Use this factory function instead of directly instantiating MixedCloudProcessor to maintain consistency and enable easier testing
- The returned processor object should be properly closed or cleaned up after use if it manages resources like network connections
Tags
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