Python package for downloading, parsing, and analyzing historical Mandatory Price Reporting data from the USDA's Agricultural Marketing Service.

• Ergonomic client for interacting with MPR DataMart
• Parses XML data into json
• Parses report data from strings into numpy dtypes and record arrays
• Builds a dynamic timeseries filesystem cache of requested data
• Aggregates data into common reports as pandas DataFrames

See examples in the examples notebook

You'll need to install pipenv to run the code.

To activate the git hooks:

git config core.hooksPath .githooks

These all need to be run from the project root.

# View CME Lean Hog Index report for last 20 days bin/cash --days=20 # View CME Cutout Index report (default last 10 days) bin/cutout # View Lean Hog Purchases report bin/purchases # View CME Fresh Bacon Index report bin/bacon # Start jupyter notebook server bin/notebook # Lint and run unit and acceptance tests with coverage bin/tests # Wipe reports cache bin/wipe # Build wheel for deployment bin/build # Remove build artifacts bin/clean