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A test function that authenticates with the Remarkable cloud service and builds a complete local replica of the user's Remarkable data.

Purpose

This function serves as a testing entry point for the Remarkable synchronization system. It performs authentication using RemarkableAuth, establishes a session, and then creates a local replica of all Remarkable cloud data using the RemarkableLocalReplica class. The function is designed to verify that the authentication and replication pipeline works correctly.

Source Code

def main():
    """Main function for testing"""
    import sys
    sys.path.insert(0, str(Path(__file__).parent))
    
    from auth import RemarkableAuth
    
    # Authenticate
    auth = RemarkableAuth()
    session = auth.authenticate()
    
    if not session:
        print("❌ Authentication failed")
        return False
    
    # Build replica
    replica = RemarkableLocalReplica(session, "remarkable_replica")
    success = replica.build_complete_replica()
    
    return success

Return Value

Returns a boolean value indicating success or failure. Returns False if authentication fails, otherwise returns the success status from the replica.build_complete_replica() method (expected to be a boolean indicating whether the replica was built successfully).

Dependencies

• sys
• pathlib
• os
• json
• zipfile
• requests
• logging
• shutil
• enum
• typing
• dataclasses
• datetime
• re

Required Imports

from pathlib import Path

Conditional/Optional Imports

These imports are only needed under specific conditions:

import sys

from auth import RemarkableAuth

Usage Example

# Assuming this function is in a file called remarkable_sync.py
# and the auth module and RemarkableLocalReplica class are available

if __name__ == '__main__':
    success = main()
    if success:
        print('✅ Replica built successfully')
    else:
        print('❌ Failed to build replica')
    sys.exit(0 if success else 1)

Best Practices

• This function modifies sys.path at runtime, which should only be done in test/development contexts, not in production code
• The function performs lazy imports inside the function body, which is useful for testing but may hide import errors until runtime
• Error handling is minimal - only checks if session is None/False, but doesn't catch exceptions from build_complete_replica()
• The replica directory name 'remarkable_replica' is hardcoded - consider making it configurable for different test scenarios
• This function is designed as a test entry point and should be called from if __name__ == '__main__': block
• Ensure proper cleanup of the replica directory between test runs if needed

Tags

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