Update dependency fastapi to v0.100.0 #21
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Reference: profitroll/PhotosAPI#21
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Delete Branch "renovate/fastapi-0.x"
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This PR contains the following updates:
==0.99.1
->==0.100.0
Release Notes
tiangolo/fastapi
v0.100.0
Compare Source
✨ Support for Pydantic v2 ✨
Pydantic version 2 has the core re-written in Rust and includes a lot of improvements and features, for example:
...all this while keeping the same Python API. In most of the cases, for simple models, you can simply upgrade the Pydantic version and get all the benefits. 🚀
In some cases, for pure data validation and processing, you can get performance improvements of 20x or more. This means 2,000% or more. 🤯
When you use FastAPI, there's a lot more going on, processing the request and response, handling dependencies, executing your own code, and particularly, waiting for the network. But you will probably still get some nice performance improvements just from the upgrade.
The focus of this release is compatibility with Pydantic v1 and v2, to make sure your current apps keep working. Later there will be more focus on refactors, correctness, code improvements, and then performance improvements. Some third-party early beta testers that ran benchmarks on the beta releases of FastAPI reported improvements of 2x - 3x. Which is not bad for just doing
pip install --upgrade fastapi pydantic
. This was not an official benchmark and I didn't check it myself, but it's a good sign.Migration
Check out the Pydantic migration guide.
For the things that need changes in your Pydantic models, the Pydantic team built
bump-pydantic
.A command line tool that will process your code and update most of the things automatically for you. Make sure you have your code in git first, and review each of the changes to make sure everything is correct before committing the changes.
Pydantic v1
This version of FastAPI still supports Pydantic v1. And although Pydantic v1 will be deprecated at some point, ti will still be supported for a while.
This means that you can install the new Pydantic v2, and if something fails, you can install Pydantic v1 while you fix any problems you might have, but having the latest FastAPI.
There are tests for both Pydantic v1 and v2, and test coverage is kept at 100%.
Changes
There are new parameter fields supported by Pydantic
Field()
for:Path()
Query()
Header()
Cookie()
Body()
Form()
File()
The new parameter fields are:
default_factory
alias_priority
validation_alias
serialization_alias
discriminator
strict
multiple_of
allow_inf_nan
max_digits
decimal_places
json_schema_extra
...you can read about them in the Pydantic docs.
The parameter
regex
has been deprecated and replaced bypattern
.New Pydantic models use an improved and simplified attribute
model_config
that takes a simple dict instead of an internal classConfig
for their configuration.The attribute
schema_extra
for the internal classConfig
has been replaced by the keyjson_schema_extra
in the newmodel_config
dict.When you install
"fastapi[all]"
it now also includes:pydantic-settings
- for settings management.pydantic-extra-types
- for extra types to be used with Pydantic.Now Pydantic Settings is an additional optional package (included in
"fastapi[all]"
). To use settings you should now importfrom pydantic_settings import BaseSettings
instead of importing frompydantic
directly.PR #9816 by @tiangolo, included all the work done (in multiple PRs) on the beta branch (
main-pv2
).Configuration
📅 Schedule: Branch creation - At any time (no schedule defined), Automerge - At any time (no schedule defined).
🚦 Automerge: Enabled.
♻ Rebasing: Whenever PR becomes conflicted, or you tick the rebase/retry checkbox.
🔕 Ignore: Close this PR and you won't be reminded about this update again.
This PR has been generated by Renovate Bot.