Yandex Market Language for Python provides user-friendly interface for parsing or creating XML files.
Project description
Yandex Market Language (YML) for Python
Yandex Market Language for Python provides user-friendly interface for parsing or creating XML files.
Free software: GNU General Public License v3
Documentation: https://yandex-market-language.readthedocs.io.
Usage: https://yandex-market-language.readthedocs.io/en/latest/usage.html
Features
The ability to convert from XML to dictionary and vice versa using models.
Parse XML file into the ready-to-use Feed model.
Convert dict-like objects into the ready-to-use XML file.
Validation for in-out data.
TODO
[ ] Full models validation support as in the Yandex.Market.
[ ] Simplify models (code refactoring + DRY).
[ ] Add custom exceptions on parse / convert to get more information.
[ ] Documentation in Russian.
Credits
This package was created with Cookiecutter and the audreyr/cookiecutter-pypackage project template.
History
0.6.1 (2020-07-28)
Add __slots__ for all models to reduce RAM usage.
0.6.0 (2020-04-06)
Added all missed models: Gifts & Promos.
Added cbid warning message on set (field is deprecated).
Added creation of an XML file from the Feed model.
0.5.0 (2020-04-02)
Added missed offers of types: audiobook, artist.title, medicine, event-ticket & alco.
Some fixes for fields.
0.4.0 (2020-04-01)
Added xml parsing for all models, except: Gifts, Promos and another types of offers like audiobooks, medicine etc.
Fixed fields parsing for datetime fields & fields that can be None.
Added new field for offer: supplier.
0.3.0 (2020-03-30)
All missing fields and models were added for the BaseOffer.
SimplifiedOffer is now fully supported for xml / dict.
Custom exception classes removed and replaced with ValidationError.
0.2.0 (2020-03-29)
Added models for xml to dict and backward support: Category, Currency, Feed, Option (delivery / pickup), Price.
Added basic models implementation (WIP): Shop, Offers.
Added basic validation support (WIP, will be improved after finishing of models).
0.1.0 (2020-03-28)
First release on PyPI.
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