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TypeFit

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Typing annotations make Python awesome, however it's complicated to keep your data annotated when it comes from external sources like APIs. The goal of Typefit is to help you map that external data into type-annotated native Python objects.

from typefit import api
from typing import NamedTuple, Text


class Item(NamedTuple):
    id: int
    title: Text


class HackerNews(api.SyncClient):
    BASE_URL = "https://hacker-news.firebaseio.com/v0/"

    @api.get("item/{item_id}.json")
    def get_item(self, item_id: int) -> Item:
        pass

story = HackerNews().get_item(42)
print(story.title)
# An alternative to VC: "Selling In"

This is the full example of a Hacker News API client. Its functionality is limited but in 14 lines counting white space you can build a type-safe client for Hacker News. You'll find a full example attached if you're interested.

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Documentation is there

Licence

This library is provided under the terms of the WTFPL.

If you find it useful, you can have a look at the contributors page to know who helped.

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A Python library to fit JSON into type-anotated Python objects

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