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A test function that analyzes a reMarkable tablet replica database JSON file to identify and list all root-level entries (folders and documents without parent nodes).

Purpose

This function is designed to test and debug the identification of root-level nodes in a reMarkable tablet's file system structure. It reads a JSON database file, iterates through all nodes, checks both 'parent_uuid' and 'metadata.parent' fields to determine if a node is at the root level, and prints detailed diagnostic information about each node. It's useful for understanding the structure of reMarkable's file system and verifying root-level entry detection logic.

Source Code

def test_root_finding():
    """Test finding root-level entries"""
    
    database_path = Path(__file__).parent / "remarkable_replica_v2" / "replica_database.json"
    
    with open(database_path, 'r') as f:
        database = json.load(f)
    
    print("🔍 Analyzing root-level nodes...")
    print(f"📊 Total nodes: {len(database['nodes'])}")
    
    root_entries = []
    for uuid, node in database['nodes'].items():
        # Check both parent_uuid field and metadata.parent field
        parent_uuid = node.get('parent_uuid')
        metadata_parent = node.get('metadata', {}).get('parent', '')
        
        print(f"\n🔹 Node: {uuid}")
        print(f"   Name: {node.get('name', 'Unknown')}")
        print(f"   Type: {node.get('node_type', 'Unknown')}")
        print(f"   parent_uuid: {repr(parent_uuid)}")
        print(f"   metadata.parent: {repr(metadata_parent)}")
        
        # A node is root-level if both parent fields indicate no parent
        is_root_level = (
            (parent_uuid is None or parent_uuid == '' or parent_uuid == "") and
            (metadata_parent == '' or metadata_parent is None)
        )
        
        print(f"   Is root-level: {is_root_level}")
        
        if is_root_level:
            node_type = 1 if node['node_type'] == 'folder' else 4
            root_entries.append({
                'hash': node['hash'],
                'uuid': uuid,
                'node_type': node_type,
                'size': node.get('size', 0),
                'name': node.get('name', 'Unknown')
            })
    
    print(f"\n📊 Found {len(root_entries)} root-level items:")
    for entry in root_entries:
        print(f"   - {entry['name']} ({entry['uuid'][:8]}...): type={entry['node_type']}, size={entry['size']}")

Return Value

This function does not return any value (implicitly returns None). It produces side effects by printing diagnostic information to stdout, including details about each node analyzed and a summary of root-level entries found.

Dependencies

• json
• pathlib

Required Imports

import json
from pathlib import Path

Usage Example

# Ensure the required directory structure exists:
# ./remarkable_replica_v2/replica_database.json

import json
from pathlib import Path

def test_root_finding():
    """Test finding root-level entries"""
    database_path = Path(__file__).parent / "remarkable_replica_v2" / "replica_database.json"
    with open(database_path, 'r') as f:
        database = json.load(f)
    print("🔍 Analyzing root-level nodes...")
    print(f"📊 Total nodes: {len(database['nodes'])}")
    root_entries = []
    for uuid, node in database['nodes'].items():
        parent_uuid = node.get('parent_uuid')
        metadata_parent = node.get('metadata', {}).get('parent', '')
        print(f"\n🔹 Node: {uuid}")
        print(f"   Name: {node.get('name', 'Unknown')}")
        print(f"   Type: {node.get('node_type', 'Unknown')}")
        print(f"   parent_uuid: {repr(parent_uuid)}")
        print(f"   metadata.parent: {repr(metadata_parent)}")
        is_root_level = (
            (parent_uuid is None or parent_uuid == '' or parent_uuid == "") and
            (metadata_parent == '' or metadata_parent is None)
        )
        print(f"   Is root-level: {is_root_level}")
        if is_root_level:
            node_type = 1 if node['node_type'] == 'folder' else 4
            root_entries.append({
                'hash': node['hash'],
                'uuid': uuid,
                'node_type': node_type,
                'size': node.get('size', 0),
                'name': node.get('name', 'Unknown')
            })
    print(f"\n📊 Found {len(root_entries)} root-level items:")
    for entry in root_entries:
        print(f"   - {entry['name']} ({entry['uuid'][:8]}...): type={entry['node_type']}, size={entry['size']}")

# Run the test
test_root_finding()

Best Practices

• This function uses __file__ to locate the database file, so it must be run as part of a Python script file, not in an interactive interpreter
• The function expects a specific directory structure relative to the script location; ensure 'remarkable_replica_v2/replica_database.json' exists
• The function prints extensive diagnostic output; redirect stdout if you need to capture this information programmatically
• The root-level detection logic checks for empty strings, None values, and empty string literals - this redundancy ensures compatibility with different data formats
• Node types are converted to numeric codes (1 for folders, 4 for other types) which appears to be a specific encoding scheme for the reMarkable system
• Consider wrapping this function in error handling for production use, as it assumes the JSON file exists and has the expected structure

Tags

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