transmog 1.1.0

A data transformation library for flattening complex nested structures into tabular formats while preserving hierarchical relationships

Transmog

Transform nested data into flat tables with a simple, intuitive API.

Overview

Transmog transforms nested JSON data into flat, tabular formats while preserving relationships between parent and child records.

Key Features:

• Simple one-function API with smart defaults
• Multiple output formats (JSON, CSV, Parquet)
• Automatic relationship preservation
• Memory-efficient streaming for large datasets

Quick Start

pip install transmog

import transmog as tm

# Transform nested data into flat tables
result = tm.flatten({"name": "Product", "specs": {"cpu": "i7", "ram": "16GB"}})
print(result.main)  # Flattened data: [{'name': 'Product', 'specs_cpu': 'i7', ...}]

# Save in any format
result.save("output.json")

Example

Transform complex nested data into relational tables:

data = {
    "user": {"name": "Alice", "email": "[e-mail]"},
    "orders": [
        {"id": 101, "amount": 99.99},
        {"id": 102, "amount": 45.50}
    ]
}

result = tm.flatten(data, name="customer")

# Main table: [{'user_name': 'Alice', 'user_email': 'alice@...', '_id': '...'}]
# Orders table: [{'id': 101, 'amount': 99.99, '_parent_id': '...'}, ...]

Key Options:

• Custom field separators: separator="."
• Use existing IDs: id_field="customer_id"
• Error handling: errors="skip"
• File processing: tm.flatten_file("data.json")

Advanced Options

For more control:

result = tm.flatten(
    data,
    name="products",
    # Naming
    separator=".",              # Use dots: user.name
    nested_threshold=3,         # Simplify deeply nested names
    # IDs
    id_field="sku",            # Use existing field as ID
    parent_id_field="_parent",  # Customize parent reference name
    add_timestamp=True,         # Add timestamp to records
    # Arrays
    arrays="inline",           # Keep arrays as JSON instead of separate tables
    # Data handling
    preserve_types=True,       # Keep original types (don't convert to strings)
    skip_null=False,           # Include null values
    skip_empty=False,          # Include empty strings/lists
    # Performance
    batch_size=5000,           # Process in larger batches
    low_memory=True,           # Optimize for low memory usage
)

Documentation

Complete documentation is available at scottdraper8.github.io/transmog, including:

• Quick Start Guide
• User Guides
• API Reference
• Advanced Topics

Contributing

For contribution guidelines, development setup, and coding standards, see the Contributing Guide in the documentation.

License

MIT License