dadata 0.2.1

Data cleansing and enrichment via Dadata API.

Dadata API Client

Data cleansing, enrichment and suggestions via Dadata API

Thin Python wrapper over Dadata API.

Installation

pip install dadata

Usage

Cleansing:

>>> import os
>>> from dadata import Dadata
>>> token = os.getenv("DADATA_API_KEY")
>>> secret = os.getenv("DADATA_SECRET_KEY")
>>> dadata = Dadata(token, secret)
>>> dadata.clean("address", "мск сухонская 11 89")
{'source': 'мск сухонская 11 89', 'result': 'г Москва, ул Сухонская, д 11, кв 89', ...}

Suggestions and other services:

>>> import os
>>> from dadata import Dadata
>>> token = os.getenv("DADATA_API_KEY")
>>> dadata = Dadata(token)
>>> dadata.geolocate(lat=55.8782557, lon=37.65372)
>>> dadata.iplocate("212.45.30.108")
>>> dadata.suggest("party", "моторика")
>>> dadata.find_by_id("party", "7719402047")
>>> dadata.find_affiliated("7736207543")

Development setup

$ python3 -m venv env
$ . env/bin/activate
$ make deps
$ tox

Contributing

Pull requests are welcome. For major changes, please open an issue first to discuss what you would like to change.

Make sure to add or update tests as appropriate.

Use Black for code formatting and Conventional Commits for commit messages.

Changelog

License

MIT