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 .githooksThese 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