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tests/test_tutorial/test_query_params_str_validations/test_tutorial010_an.py
"operationId": "read_items_items__get", "parameters": [ { "description": "Query string for the items to search in the database that have a good match", "required": False, "deprecated": True, "schema": IsDict( {
Python - Registered: Sun Apr 28 07:19:10 GMT 2024 - Last Modified: Thu Apr 18 19:40:57 GMT 2024 - 6.2K bytes - Viewed (0) -
tests/test_compat.py
# to support it as a first class "feature" assert is_bytes_sequence_annotation(Union[List[str], List[bytes]]) def test_is_uploadfile_sequence_annotation(): # For coverage # TODO: in theory this would allow declaring types that could be lists of UploadFile # and other types, but I'm not even sure it's a good idea to support it as a first # class "feature"
Python - Registered: Sun May 05 07:19:11 GMT 2024 - Last Modified: Thu Sep 28 04:14:40 GMT 2023 - 2.8K bytes - Viewed (0) -
docs_src/query_params_str_validations/tutorial010.py
@app.get("/items/") async def read_items( q: Union[str, None] = Query( default=None, alias="item-query", title="Query string", description="Query string for the items to search in the database that have a good match", min_length=3, max_length=50, pattern="^fixedquery$", deprecated=True, ), ): results = {"items": [{"item_id": "Foo"}, {"item_id": "Bar"}]} if q:
Python - Registered: Sun May 05 07:19:11 GMT 2024 - Last Modified: Tue Oct 24 20:26:06 GMT 2023 - 574 bytes - Viewed (0) -
docs_src/query_params_str_validations/tutorial008.py
@app.get("/items/") async def read_items( q: Union[str, None] = Query( default=None, title="Query string", description="Query string for the items to search in the database that have a good match", min_length=3, ), ): results = {"items": [{"item_id": "Foo"}, {"item_id": "Bar"}]} if q: results.update({"q": q})
Python - Registered: Sun May 05 07:19:11 GMT 2024 - Last Modified: Tue Oct 24 20:26:06 GMT 2023 - 466 bytes - Viewed (0) -
docs_src/query_params_str_validations/tutorial010_an.py
Python - Registered: Sun May 05 07:19:11 GMT 2024 - Last Modified: Tue Oct 24 20:26:06 GMT 2023 - 664 bytes - Viewed (0) -
docs/en/docs/advanced/generate-clients.md
And it shows their true commitment to FastAPI and its **community** (you), as they not only want to provide you a **good service** but also want to make sure you have a **good and healthy framework**, FastAPI. 🙇
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docs/en/docs/alternatives.md
This decoupling of parts, and being a "microframework" that could be extended to cover exactly what is needed was a key feature that I wanted to keep. Given the simplicity of Flask, it seemed like a good match for building APIs. The next thing to find was a "Django REST Framework" for Flask. !!! check "Inspired **FastAPI** to" Be a micro-framework. Making it easy to mix and match the tools and parts needed.
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.github/actions/notify-translations/app/main.py
# Messages to create or check new_translation_message = f"Good news everyone! 😉 There's a new translation PR to be reviewed: #{pr.number} by @{pr.user.login}. 🎉 This requires 2 approvals from native speakers to be merged. 🤓" done_translation_message = f"~There's a new translation PR to be reviewed: #{pr.number} by @{pr.user.login}~ Good job! This is done. 🍰☕" # Normally only one language, but still
Python - Registered: Sun May 05 07:19:11 GMT 2024 - Last Modified: Wed Sep 27 23:01:46 GMT 2023 - 12.4K bytes - Viewed (0) -
docs/en/docs/deployment/cloud.md
And it shows their true commitment to FastAPI and its **community** (you), as they not only want to provide you a **good service** but also want to make sure you have a **good and healthy framework**, FastAPI. 🙇 You might want to try their services and follow their guides:
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docs/en/docs/tutorial/path-params.md
## Pydantic All the data validation is performed under the hood by <a href="https://docs.pydantic.dev/" class="external-link" target="_blank">Pydantic</a>, so you get all the benefits from it. And you know you are in good hands. You can use the same type declarations with `str`, `float`, `bool` and many other complex data types.
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