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Import and map the USDA National Nutrient Database for Standard Reference (SR22) to Django models using MongoDB with mongoengine

Project description


django-usda-mongo imports and maps the USDA National Nutrient Database for Standard Reference (SR22) to Django models using MongoDB with mongoengine. It also integrate django-mongonaut to admin the MongoDB database.


  • Python 2.5.x
  • Django 1.2.x (import_sr22 will not work with early versions)
  • mongoengine
  • django-mongonaut


  1. pip install django-usda-mongo or copy the usda_mongo folder to a location available on your PYTHONPATH.
  2. Add ‘usda’ to INSTALLED_APPS in
  3. Optionally, add (r’^usda/’, include(‘usda.urls’)), to your urlpatterns.

Data Import

To import the latest SR22 data. Simply use the import_sr22 management command as follows:

./ import_sr22

The above assumes that the file is in the current folder. To specify an alternative location specify -f <filename>.

The import_sr22 command takes several options:

  • –database <dbname> – Specify an alternative database to populate.
  • –food – Create/update all foods.
  • –group – Create/Update food groups.
  • –nutrient – Create/Update nutrients.
  • –weight – Create/Update weights.
  • –footnote – Create/Update footnotes.
  • –datasource – Create/Update data sources.
  • –derivation – Create/Update data derivations.
  • –source – Create/Update sources.
  • –data – Create/Update nutrient data.’
  • –all – Create/Update all data.

All of the above options can be combined to only create/update the desired data. If no options are specified, -all is assumed.

Also note that all data is loaded in a single transaction to ensure that database consistency is maintained.


The USDA National Nutrient Database for Standard Reference (SR22) can be found here:


0.1.0 (2015-03-31)

  • First release on PyPI.

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