ReVal (Reusable Validation Library) is a Django App for validating data via an API and web interface.
In the web interface, ReVal can manage data submitted as file uploads to a central gathering point, including data validation, basic change tracking and duplicate file handling. Each file generally contains multiple data rows, and each user may submit multiple files.
Using the API, ReVal can validate data and generally do anything that is possible via the web interface.
- Flexible input format
- Validation with:
- goodtables
- JSON Logic
- SQL
- JSON Schema
- a custom validation class
- Row-by-row feedback on validation results
- Manage and track status of data submissions
- Re-submit previous submissions
- Flexible ultimate destination for data
- API for validation
- Python (3.5, 3.6)
- Django (2.2+)
- Goodtables
- pyyaml
- djangorestframework
- psycopg2
- json_logic_qubit
- dj-database-url
- requests
If you would like to use ReVal in your Django project, install using pipenv
in your project...
- Replace
<version>
with the latest tag i.e.v0.7.0
or - Replace with
master
if you would like to work with the latest development version
pipenv install -e git+https://github.com/18F/ReVAL.git@<version>#egg=data-ingest
Add 'rest_framework'
, and 'data_ingest'
to your INSTALLED_APPS
setting.
INSTALLED_APPS = (
...
'rest_framework',
'data_ingest',
)
Please see default installation for more setup instructions.
Several examples are provided to demonstrate default and customized behavior of data_ingest
.
Follow the development instructions to close this repository and install the dependencies required for the examples.
To perform data validation with API, see API documentation.
All of the examples provided will show you how to run them locally. If you are interested in using cloud.gov as your platform, here's a basic installation guide on cloud.gov deployment.
See CONTRIBUTING for additional information.
To start developing on Django Data Ingest, clone the repository:
git clone git@github.com:18f/ReVAL.git
Install development dependencies:
pipenv install --dev
If you run into any issues installing packages in the Pipfile
, you can try to install the particular package individually again.
To execute the test suite, install the development dependencies and run:
python runtests.py
This project is in the worldwide public domain. As stated in CONTRIBUTING:
This project is in the public domain within the United States, and copyright and related rights in the work worldwide are waived through the CC0 1.0 Universal public domain dedication.
All contributions to this project will be released under the CC0 dedication. By submitting a pull request, you are agreeing to comply with this waiver of copyright interest.