Standardization

This module provides everything we consider as Standardization before giving back any resource type.

Just another Python API for Travis CI (API).

A module which provides the standardizer class. It’s basically a way to unify everything before parsing them to their end-location or objects.

Author:
Nissar Chababy, @funilrys, contactTATAfunilrysTODTODcom
Project link:
https://github.com/funilrys/PyTravisCI
Project documentation:
https://pytravisci.readthedocs.io/en/latest/

License

MIT License

Copyright (c) 2019, 2020 Nissar Chababy

Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
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OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.
class PyTravisCI.standardization.Standardization(data: Optional[Any] = None)[source]

The standardizer. It format the response from the Travis CI API into something useful (for later usage and distribution).

get_data() → Any[source]

Provides the currently set data.

get_standardized() → dict[source]

Provides the standardized version.

run_standardization()[source]

A decorator which actually do the standardization.

set_data(value: Any) → None[source]

Overwrites the data to work with.

standardize_at_tagged(data: dict) → dict[source]

Standardize the @tags to something universal and reusable.

standardize_datetime(data: dict) → dict[source]

Provides a way to unify/convert the dates to something more Python friendly.