resnap 0.2.0

A Python library that captures and replays function results to save time, boost performance.

resnap

Smart function output snapshots and caching for Python
resnap snapshots and reuses function outputs based on their inputs, saving time with smart caching and metadata tracking.

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🚀 Features

• Snapshot and cache function/method outputs on disk
• Avoid re-executing code when inputs haven’t changed
• Supports multiple formats:
  • For pd.DataFrame objects: parquet (default) and csv
  • For other objects: pkl (default), json, and txt.
    (Note that for the "json" format, the object type must be compatible with the json.dump method.)
• Stores metadata automatically
• Add custom metadata
• Minimal setup, flexible usage

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📦 Installation

To test in local mode

pip install resnap

If you want to use a S3 solution

pip install resnap[boto]

🛠️ Configuration

To use this library, you need to configure it using a pyproject.toml file. Add the following section under [tool.resnap]:

[tool.resnap]
enabled = true                          # Enable or disable the library functionality
save_to = "local"                       # Choose the storage backend (e.g., 'local')
output_base_path = "results"            # Directory where output files will be saved
secrets_file_name = ""                  # Optional: path to a secrets file (leave empty if unused (e.g, 'local'))
enable_remove_old_files = true          # Automatically delete old files based on retention policy
max_history_files_length = 3            # Duration value for file retention, used with max_history_files_time_unit
max_history_files_time_unit = "day"     # Time unit used for history retention (e.g., 'second', 'minute', 'hour', 'day')

🧪 Quick Example

from resnap import resnap

@resnap
def expensive_computation(x, y):
    print("Running the actual computation...")
    return x * y + 42

result = expensive_computation(10, 2)

Second call with same arguments:

# Output is retrieved from cache — no print, no computation
result = expensive_computation(10, 2)

📁 Output Structure

Each snapshot includes:

• A result file (in the format of your choice)
• A metadata file (e.g., timestamp, arguments, execution time, etc.)

📚 Documentation

The documentation is available on ReadTheDocs.

🛡️ License

This project is licensed under the MIT License. See the LICENSE file for details.

🤝 Contributing

Contributions, issues and feature requests are welcome! Feel free to open a PR or start a discussion.

⭐️ Show your support If you find this project useful, give it a ⭐️ on GitHub!