mirror of
https://github.com/fastapi/fastapi.git
synced 2025-12-23 22:29:34 -05:00
➖ Drop support for Pydantic v1, keeping short temporary support for Pydantic v2's pydantic.v1 (#14575)
Co-authored-by: github-actions[bot] <github-actions[bot]@users.noreply.github.com>
This commit is contained in:
committed by
GitHub
parent
5c7dceb80f
commit
e2cd8a4201
25
.github/workflows/test.yml
vendored
25
.github/workflows/test.yml
vendored
@@ -44,35 +44,22 @@ jobs:
|
||||
matrix:
|
||||
os: [ windows-latest, macos-latest ]
|
||||
python-version: [ "3.14" ]
|
||||
pydantic-version: [ "pydantic>=2.0.2,<3.0.0" ]
|
||||
include:
|
||||
- os: ubuntu-latest
|
||||
python-version: "3.9"
|
||||
pydantic-version: "pydantic>=1.10.0,<2.0.0"
|
||||
coverage: coverage
|
||||
- os: macos-latest
|
||||
python-version: "3.10"
|
||||
pydantic-version: "pydantic>=2.0.2,<3.0.0"
|
||||
- os: windows-latest
|
||||
python-version: "3.11"
|
||||
pydantic-version: "pydantic>=1.10.0,<2.0.0"
|
||||
- os: ubuntu-latest
|
||||
python-version: "3.12"
|
||||
pydantic-version: "pydantic>=2.0.2,<3.0.0"
|
||||
- os: macos-latest
|
||||
python-version: "3.13"
|
||||
pydantic-version: "pydantic>=1.10.0,<2.0.0"
|
||||
- os: windows-latest
|
||||
python-version: "3.13"
|
||||
pydantic-version: "pydantic>=2.0.2,<3.0.0"
|
||||
coverage: coverage
|
||||
- os: windows-latest
|
||||
python-version: "3.12"
|
||||
coverage: coverage
|
||||
# Ubuntu with 3.13 needs coverage for CodSpeed benchmarks
|
||||
- os: ubuntu-latest
|
||||
python-version: "3.13"
|
||||
pydantic-version: "pydantic>=2.0.2,<3.0.0"
|
||||
coverage: coverage
|
||||
- os: ubuntu-latest
|
||||
python-version: "3.14"
|
||||
pydantic-version: "pydantic>=2.0.2,<3.0.0"
|
||||
coverage: coverage
|
||||
fail-fast: false
|
||||
runs-on: ${{ matrix.os }}
|
||||
@@ -96,8 +83,6 @@ jobs:
|
||||
pyproject.toml
|
||||
- name: Install Dependencies
|
||||
run: uv pip install -r requirements-tests.txt
|
||||
- name: Install Pydantic
|
||||
run: uv pip install "${{ matrix.pydantic-version }}"
|
||||
- run: mkdir coverage
|
||||
- name: Test
|
||||
run: bash scripts/test.sh
|
||||
@@ -105,7 +90,7 @@ jobs:
|
||||
COVERAGE_FILE: coverage/.coverage.${{ runner.os }}-py${{ matrix.python-version }}
|
||||
CONTEXT: ${{ runner.os }}-py${{ matrix.python-version }}
|
||||
- name: CodSpeed benchmarks
|
||||
if: matrix.os == 'ubuntu-latest' && matrix.python-version == '3.13' && matrix.pydantic-version == 'pydantic>=2.0.2,<3.0.0'
|
||||
if: matrix.os == 'ubuntu-latest' && matrix.python-version == '3.13'
|
||||
uses: CodSpeedHQ/action@v4
|
||||
env:
|
||||
COVERAGE_FILE: coverage/.coverage.${{ runner.os }}-py${{ matrix.python-version }}
|
||||
|
||||
@@ -153,48 +153,16 @@ And you could do this even if the data type in the request is not JSON.
|
||||
|
||||
For example, in this application we don't use FastAPI's integrated functionality to extract the JSON Schema from Pydantic models nor the automatic validation for JSON. In fact, we are declaring the request content type as YAML, not JSON:
|
||||
|
||||
//// tab | Pydantic v2
|
||||
|
||||
{* ../../docs_src/path_operation_advanced_configuration/tutorial007_py39.py hl[15:20, 22] *}
|
||||
|
||||
////
|
||||
|
||||
//// tab | Pydantic v1
|
||||
|
||||
{* ../../docs_src/path_operation_advanced_configuration/tutorial007_pv1_py39.py hl[15:20, 22] *}
|
||||
|
||||
////
|
||||
|
||||
/// info
|
||||
|
||||
In Pydantic version 1 the method to get the JSON Schema for a model was called `Item.schema()`, in Pydantic version 2, the method is called `Item.model_json_schema()`.
|
||||
|
||||
///
|
||||
|
||||
Nevertheless, although we are not using the default integrated functionality, we are still using a Pydantic model to manually generate the JSON Schema for the data that we want to receive in YAML.
|
||||
|
||||
Then we use the request directly, and extract the body as `bytes`. This means that FastAPI won't even try to parse the request payload as JSON.
|
||||
|
||||
And then in our code, we parse that YAML content directly, and then we are again using the same Pydantic model to validate the YAML content:
|
||||
|
||||
//// tab | Pydantic v2
|
||||
|
||||
{* ../../docs_src/path_operation_advanced_configuration/tutorial007_py39.py hl[24:31] *}
|
||||
|
||||
////
|
||||
|
||||
//// tab | Pydantic v1
|
||||
|
||||
{* ../../docs_src/path_operation_advanced_configuration/tutorial007_pv1_py39.py hl[24:31] *}
|
||||
|
||||
////
|
||||
|
||||
/// info
|
||||
|
||||
In Pydantic version 1 the method to parse and validate an object was `Item.parse_obj()`, in Pydantic version 2, the method is called `Item.model_validate()`.
|
||||
|
||||
///
|
||||
|
||||
/// tip
|
||||
|
||||
Here we reuse the same Pydantic model.
|
||||
|
||||
@@ -46,12 +46,6 @@ $ pip install "fastapi[all]"
|
||||
|
||||
</div>
|
||||
|
||||
/// info
|
||||
|
||||
In Pydantic v1 it came included with the main package. Now it is distributed as this independent package so that you can choose to install it or not if you don't need that functionality.
|
||||
|
||||
///
|
||||
|
||||
### Create the `Settings` object { #create-the-settings-object }
|
||||
|
||||
Import `BaseSettings` from Pydantic and create a sub-class, very much like with a Pydantic model.
|
||||
@@ -60,24 +54,8 @@ The same way as with Pydantic models, you declare class attributes with type ann
|
||||
|
||||
You can use all the same validation features and tools you use for Pydantic models, like different data types and additional validations with `Field()`.
|
||||
|
||||
//// tab | Pydantic v2
|
||||
|
||||
{* ../../docs_src/settings/tutorial001_py39.py hl[2,5:8,11] *}
|
||||
|
||||
////
|
||||
|
||||
//// tab | Pydantic v1
|
||||
|
||||
/// info
|
||||
|
||||
In Pydantic v1 you would import `BaseSettings` directly from `pydantic` instead of from `pydantic_settings`.
|
||||
|
||||
///
|
||||
|
||||
{* ../../docs_src/settings/tutorial001_pv1_py39.py hl[2,5:8,11] *}
|
||||
|
||||
////
|
||||
|
||||
/// tip
|
||||
|
||||
If you want something quick to copy and paste, don't use this example, use the last one below.
|
||||
@@ -215,8 +193,6 @@ APP_NAME="ChimichangApp"
|
||||
|
||||
And then update your `config.py` with:
|
||||
|
||||
//// tab | Pydantic v2
|
||||
|
||||
{* ../../docs_src/settings/app03_an_py39/config.py hl[9] *}
|
||||
|
||||
/// tip
|
||||
@@ -225,26 +201,6 @@ The `model_config` attribute is used just for Pydantic configuration. You can re
|
||||
|
||||
///
|
||||
|
||||
////
|
||||
|
||||
//// tab | Pydantic v1
|
||||
|
||||
{* ../../docs_src/settings/app03_an_py39/config_pv1.py hl[9:10] *}
|
||||
|
||||
/// tip
|
||||
|
||||
The `Config` class is used just for Pydantic configuration. You can read more at <a href="https://docs.pydantic.dev/1.10/usage/model_config/" class="external-link" target="_blank">Pydantic Model Config</a>.
|
||||
|
||||
///
|
||||
|
||||
////
|
||||
|
||||
/// info
|
||||
|
||||
In Pydantic version 1 the configuration was done in an internal class `Config`, in Pydantic version 2 it's done in an attribute `model_config`. This attribute takes a `dict`, and to get autocompletion and inline errors you can import and use `SettingsConfigDict` to define that `dict`.
|
||||
|
||||
///
|
||||
|
||||
Here we define the config `env_file` inside of your Pydantic `Settings` class, and set the value to the filename with the dotenv file we want to use.
|
||||
|
||||
### Creating the `Settings` only once with `lru_cache` { #creating-the-settings-only-once-with-lru-cache }
|
||||
|
||||
@@ -2,21 +2,23 @@
|
||||
|
||||
If you have an old FastAPI app, you might be using Pydantic version 1.
|
||||
|
||||
FastAPI has had support for either Pydantic v1 or v2 since version 0.100.0.
|
||||
FastAPI version 0.100.0 had support for either Pydantic v1 or v2. It would use whichever you had installed.
|
||||
|
||||
If you had installed Pydantic v2, it would use it. If instead you had Pydantic v1, it would use that.
|
||||
FastAPI version 0.119.0 introduced partial support for Pydantic v1 from inside of Pydantic v2 (as `pydantic.v1`), to facilitate the migration to v2.
|
||||
|
||||
Pydantic v1 is now deprecated and support for it will be removed in the next versions of FastAPI, you should **migrate to Pydantic v2**. This way you will get the latest features, improvements, and fixes.
|
||||
FastAPI 0.126.0 dropped support for Pydantic v1, while still supporting `pydantic.v1` for a little while.
|
||||
|
||||
/// warning
|
||||
|
||||
Also, the Pydantic team stopped support for Pydantic v1 for the latest versions of Python, starting with **Python 3.14**.
|
||||
The Pydantic team stopped support for Pydantic v1 for the latest versions of Python, starting with **Python 3.14**.
|
||||
|
||||
This includes `pydantic.v1`, which is no longer supported in Python 3.14 and above.
|
||||
|
||||
If you want to use the latest features of Python, you will need to make sure you use Pydantic v2.
|
||||
|
||||
///
|
||||
|
||||
If you have an old FastAPI app with Pydantic v1, here I'll show you how to migrate it to Pydantic v2, and the **new features in FastAPI 0.119.0** to help you with a gradual migration.
|
||||
If you have an old FastAPI app with Pydantic v1, here I'll show you how to migrate it to Pydantic v2, and the **features in FastAPI 0.119.0** to help you with a gradual migration.
|
||||
|
||||
## Official Guide { #official-guide }
|
||||
|
||||
@@ -44,7 +46,7 @@ After this, you can run the tests and check if everything works. If it does, you
|
||||
|
||||
## Pydantic v1 in v2 { #pydantic-v1-in-v2 }
|
||||
|
||||
Pydantic v2 includes everything from Pydantic v1 as a submodule `pydantic.v1`.
|
||||
Pydantic v2 includes everything from Pydantic v1 as a submodule `pydantic.v1`. But this is no longer supported in versions above Python 3.13.
|
||||
|
||||
This means that you can install the latest version of Pydantic v2 and import and use the old Pydantic v1 components from this submodule, as if you had the old Pydantic v1 installed.
|
||||
|
||||
|
||||
@@ -1,6 +1,6 @@
|
||||
# Separate OpenAPI Schemas for Input and Output or Not { #separate-openapi-schemas-for-input-and-output-or-not }
|
||||
|
||||
When using **Pydantic v2**, the generated OpenAPI is a bit more exact and **correct** than before. 😎
|
||||
Since **Pydantic v2** was released, the generated OpenAPI is a bit more exact and **correct** than before. 😎
|
||||
|
||||
In fact, in some cases, it will even have **two JSON Schemas** in OpenAPI for the same Pydantic model, for input and output, depending on if they have **default values**.
|
||||
|
||||
@@ -100,5 +100,3 @@ And now there will be one single schema for input and output for the model, only
|
||||
<div class="screenshot">
|
||||
<img src="/img/tutorial/separate-openapi-schemas/image05.png">
|
||||
</div>
|
||||
|
||||
This is the same behavior as in Pydantic v1. 🤓
|
||||
|
||||
@@ -50,14 +50,6 @@ If you want to receive partial updates, it's very useful to use the parameter `e
|
||||
|
||||
Like `item.model_dump(exclude_unset=True)`.
|
||||
|
||||
/// info
|
||||
|
||||
In Pydantic v1 the method was called `.dict()`, it was deprecated (but still supported) in Pydantic v2, and renamed to `.model_dump()`.
|
||||
|
||||
The examples here use `.dict()` for compatibility with Pydantic v1, but you should use `.model_dump()` instead if you can use Pydantic v2.
|
||||
|
||||
///
|
||||
|
||||
That would generate a `dict` with only the data that was set when creating the `item` model, excluding default values.
|
||||
|
||||
Then you can use this to generate a `dict` with only the data that was set (sent in the request), omitting default values:
|
||||
@@ -68,14 +60,6 @@ Then you can use this to generate a `dict` with only the data that was set (sent
|
||||
|
||||
Now, you can create a copy of the existing model using `.model_copy()`, and pass the `update` parameter with a `dict` containing the data to update.
|
||||
|
||||
/// info
|
||||
|
||||
In Pydantic v1 the method was called `.copy()`, it was deprecated (but still supported) in Pydantic v2, and renamed to `.model_copy()`.
|
||||
|
||||
The examples here use `.copy()` for compatibility with Pydantic v1, but you should use `.model_copy()` instead if you can use Pydantic v2.
|
||||
|
||||
///
|
||||
|
||||
Like `stored_item_model.model_copy(update=update_data)`:
|
||||
|
||||
{* ../../docs_src/body_updates/tutorial002_py310.py hl[33] *}
|
||||
|
||||
@@ -128,14 +128,6 @@ Inside of the function, you can access all the attributes of the model object di
|
||||
|
||||
{* ../../docs_src/body/tutorial002_py310.py *}
|
||||
|
||||
/// info
|
||||
|
||||
In Pydantic v1 the method was called `.dict()`, it was deprecated (but still supported) in Pydantic v2, and renamed to `.model_dump()`.
|
||||
|
||||
The examples here use `.dict()` for compatibility with Pydantic v1, but you should use `.model_dump()` instead if you can use Pydantic v2.
|
||||
|
||||
///
|
||||
|
||||
## Request body + path parameters { #request-body-path-parameters }
|
||||
|
||||
You can declare path parameters and request body at the same time.
|
||||
|
||||
@@ -22,22 +22,13 @@ Here's a general idea of how the models could look like with their password fiel
|
||||
|
||||
{* ../../docs_src/extra_models/tutorial001_py310.py hl[7,9,14,20,22,27:28,31:33,38:39] *}
|
||||
|
||||
### About `**user_in.model_dump()` { #about-user-in-model-dump }
|
||||
|
||||
/// info
|
||||
|
||||
In Pydantic v1 the method was called `.dict()`, it was deprecated (but still supported) in Pydantic v2, and renamed to `.model_dump()`.
|
||||
|
||||
The examples here use `.dict()` for compatibility with Pydantic v1, but you should use `.model_dump()` instead if you can use Pydantic v2.
|
||||
|
||||
///
|
||||
|
||||
### About `**user_in.dict()` { #about-user-in-dict }
|
||||
|
||||
#### Pydantic's `.dict()` { #pydantics-dict }
|
||||
#### Pydantic's `.model_dump()` { #pydantics-model-dump }
|
||||
|
||||
`user_in` is a Pydantic model of class `UserIn`.
|
||||
|
||||
Pydantic models have a `.dict()` method that returns a `dict` with the model's data.
|
||||
Pydantic models have a `.model_dump()` method that returns a `dict` with the model's data.
|
||||
|
||||
So, if we create a Pydantic object `user_in` like:
|
||||
|
||||
@@ -48,7 +39,7 @@ user_in = UserIn(username="john", password="secret", email="john.doe@example.com
|
||||
and then we call:
|
||||
|
||||
```Python
|
||||
user_dict = user_in.dict()
|
||||
user_dict = user_in.model_dump()
|
||||
```
|
||||
|
||||
we now have a `dict` with the data in the variable `user_dict` (it's a `dict` instead of a Pydantic model object).
|
||||
@@ -104,20 +95,20 @@ UserInDB(
|
||||
|
||||
#### A Pydantic model from the contents of another { #a-pydantic-model-from-the-contents-of-another }
|
||||
|
||||
As in the example above we got `user_dict` from `user_in.dict()`, this code:
|
||||
As in the example above we got `user_dict` from `user_in.model_dump()`, this code:
|
||||
|
||||
```Python
|
||||
user_dict = user_in.dict()
|
||||
user_dict = user_in.model_dump()
|
||||
UserInDB(**user_dict)
|
||||
```
|
||||
|
||||
would be equivalent to:
|
||||
|
||||
```Python
|
||||
UserInDB(**user_in.dict())
|
||||
UserInDB(**user_in.model_dump())
|
||||
```
|
||||
|
||||
...because `user_in.dict()` is a `dict`, and then we make Python "unpack" it by passing it to `UserInDB` prefixed with `**`.
|
||||
...because `user_in.model_dump()` is a `dict`, and then we make Python "unpack" it by passing it to `UserInDB` prefixed with `**`.
|
||||
|
||||
So, we get a Pydantic model from the data in another Pydantic model.
|
||||
|
||||
@@ -126,7 +117,7 @@ So, we get a Pydantic model from the data in another Pydantic model.
|
||||
And then adding the extra keyword argument `hashed_password=hashed_password`, like in:
|
||||
|
||||
```Python
|
||||
UserInDB(**user_in.dict(), hashed_password=hashed_password)
|
||||
UserInDB(**user_in.model_dump(), hashed_password=hashed_password)
|
||||
```
|
||||
|
||||
...ends up being like:
|
||||
@@ -181,7 +172,6 @@ When defining a <a href="https://docs.pydantic.dev/latest/concepts/types/#unions
|
||||
|
||||
{* ../../docs_src/extra_models/tutorial003_py310.py hl[1,14:15,18:20,33] *}
|
||||
|
||||
|
||||
### `Union` in Python 3.10 { #union-in-python-3-10 }
|
||||
|
||||
In this example we pass `Union[PlaneItem, CarItem]` as the value of the argument `response_model`.
|
||||
@@ -204,7 +194,6 @@ For that, use the standard Python `typing.List` (or just `list` in Python 3.9 an
|
||||
|
||||
{* ../../docs_src/extra_models/tutorial004_py39.py hl[18] *}
|
||||
|
||||
|
||||
## Response with arbitrary `dict` { #response-with-arbitrary-dict }
|
||||
|
||||
You can also declare a response using a plain arbitrary `dict`, declaring just the type of the keys and values, without using a Pydantic model.
|
||||
@@ -215,7 +204,6 @@ In this case, you can use `typing.Dict` (or just `dict` in Python 3.9 and above)
|
||||
|
||||
{* ../../docs_src/extra_models/tutorial005_py39.py hl[6] *}
|
||||
|
||||
|
||||
## Recap { #recap }
|
||||
|
||||
Use multiple Pydantic models and inherit freely for each case.
|
||||
|
||||
@@ -206,20 +206,6 @@ If you feel lost with all these **"regular expression"** ideas, don't worry. The
|
||||
|
||||
Now you know that whenever you need them you can use them in **FastAPI**.
|
||||
|
||||
### Pydantic v1 `regex` instead of `pattern` { #pydantic-v1-regex-instead-of-pattern }
|
||||
|
||||
Before Pydantic version 2 and before FastAPI 0.100.0, the parameter was called `regex` instead of `pattern`, but it's now deprecated.
|
||||
|
||||
You could still see some code using it:
|
||||
|
||||
//// tab | Pydantic v1
|
||||
|
||||
{* ../../docs_src/query_params_str_validations/tutorial004_regex_an_py310.py hl[11] *}
|
||||
|
||||
////
|
||||
|
||||
But know that this is deprecated and it should be updated to use the new parameter `pattern`. 🤓
|
||||
|
||||
## Default values { #default-values }
|
||||
|
||||
You can, of course, use default values other than `None`.
|
||||
|
||||
@@ -252,20 +252,6 @@ So, if you send a request to that *path operation* for the item with ID `foo`, t
|
||||
|
||||
/// info
|
||||
|
||||
In Pydantic v1 the method was called `.dict()`, it was deprecated (but still supported) in Pydantic v2, and renamed to `.model_dump()`.
|
||||
|
||||
The examples here use `.dict()` for compatibility with Pydantic v1, but you should use `.model_dump()` instead if you can use Pydantic v2.
|
||||
|
||||
///
|
||||
|
||||
/// info
|
||||
|
||||
FastAPI uses Pydantic model's `.dict()` with <a href="https://docs.pydantic.dev/1.10/usage/exporting_models/#modeldict" class="external-link" target="_blank">its `exclude_unset` parameter</a> to achieve this.
|
||||
|
||||
///
|
||||
|
||||
/// info
|
||||
|
||||
You can also use:
|
||||
|
||||
* `response_model_exclude_defaults=True`
|
||||
|
||||
@@ -8,36 +8,14 @@ Here are several ways to do it.
|
||||
|
||||
You can declare `examples` for a Pydantic model that will be added to the generated JSON Schema.
|
||||
|
||||
//// tab | Pydantic v2
|
||||
|
||||
{* ../../docs_src/schema_extra_example/tutorial001_py310.py hl[13:24] *}
|
||||
|
||||
////
|
||||
|
||||
//// tab | Pydantic v1
|
||||
|
||||
{* ../../docs_src/schema_extra_example/tutorial001_pv1_py310.py hl[13:23] *}
|
||||
|
||||
////
|
||||
|
||||
That extra info will be added as-is to the output **JSON Schema** for that model, and it will be used in the API docs.
|
||||
|
||||
//// tab | Pydantic v2
|
||||
|
||||
In Pydantic version 2, you would use the attribute `model_config`, that takes a `dict` as described in <a href="https://docs.pydantic.dev/latest/api/config/" class="external-link" target="_blank">Pydantic's docs: Configuration</a>.
|
||||
You can use the attribute `model_config` that takes a `dict` as described in <a href="https://docs.pydantic.dev/latest/api/config/" class="external-link" target="_blank">Pydantic's docs: Configuration</a>.
|
||||
|
||||
You can set `"json_schema_extra"` with a `dict` containing any additional data you would like to show up in the generated JSON Schema, including `examples`.
|
||||
|
||||
////
|
||||
|
||||
//// tab | Pydantic v1
|
||||
|
||||
In Pydantic version 1, you would use an internal class `Config` and `schema_extra`, as described in <a href="https://docs.pydantic.dev/1.10/usage/schema/#schema-customization" class="external-link" target="_blank">Pydantic's docs: Schema customization</a>.
|
||||
|
||||
You can set `schema_extra` with a `dict` containing any additional data you would like to show up in the generated JSON Schema, including `examples`.
|
||||
|
||||
////
|
||||
|
||||
/// tip
|
||||
|
||||
You could use the same technique to extend the JSON Schema and add your own custom extra info.
|
||||
|
||||
@@ -14,7 +14,7 @@ app = FastAPI()
|
||||
|
||||
@app.post("/items/")
|
||||
async def create_item(item: Item):
|
||||
item_dict = item.dict()
|
||||
item_dict = item.model_dump()
|
||||
if item.tax is not None:
|
||||
price_with_tax = item.price + item.tax
|
||||
item_dict.update({"price_with_tax": price_with_tax})
|
||||
|
||||
@@ -16,7 +16,7 @@ app = FastAPI()
|
||||
|
||||
@app.post("/items/")
|
||||
async def create_item(item: Item):
|
||||
item_dict = item.dict()
|
||||
item_dict = item.model_dump()
|
||||
if item.tax is not None:
|
||||
price_with_tax = item.price + item.tax
|
||||
item_dict.update({"price_with_tax": price_with_tax})
|
||||
|
||||
@@ -14,4 +14,4 @@ app = FastAPI()
|
||||
|
||||
@app.put("/items/{item_id}")
|
||||
async def update_item(item_id: int, item: Item):
|
||||
return {"item_id": item_id, **item.dict()}
|
||||
return {"item_id": item_id, **item.model_dump()}
|
||||
|
||||
@@ -16,4 +16,4 @@ app = FastAPI()
|
||||
|
||||
@app.put("/items/{item_id}")
|
||||
async def update_item(item_id: int, item: Item):
|
||||
return {"item_id": item_id, **item.dict()}
|
||||
return {"item_id": item_id, **item.model_dump()}
|
||||
|
||||
@@ -14,7 +14,7 @@ app = FastAPI()
|
||||
|
||||
@app.put("/items/{item_id}")
|
||||
async def update_item(item_id: int, item: Item, q: str | None = None):
|
||||
result = {"item_id": item_id, **item.dict()}
|
||||
result = {"item_id": item_id, **item.model_dump()}
|
||||
if q:
|
||||
result.update({"q": q})
|
||||
return result
|
||||
|
||||
@@ -16,7 +16,7 @@ app = FastAPI()
|
||||
|
||||
@app.put("/items/{item_id}")
|
||||
async def update_item(item_id: int, item: Item, q: Union[str, None] = None):
|
||||
result = {"item_id": item_id, **item.dict()}
|
||||
result = {"item_id": item_id, **item.model_dump()}
|
||||
if q:
|
||||
result.update({"q": q})
|
||||
return result
|
||||
|
||||
@@ -29,7 +29,7 @@ async def read_item(item_id: str):
|
||||
async def update_item(item_id: str, item: Item):
|
||||
stored_item_data = items[item_id]
|
||||
stored_item_model = Item(**stored_item_data)
|
||||
update_data = item.dict(exclude_unset=True)
|
||||
updated_item = stored_item_model.copy(update=update_data)
|
||||
update_data = item.model_dump(exclude_unset=True)
|
||||
updated_item = stored_item_model.model_copy(update=update_data)
|
||||
items[item_id] = jsonable_encoder(updated_item)
|
||||
return updated_item
|
||||
|
||||
@@ -31,7 +31,7 @@ async def read_item(item_id: str):
|
||||
async def update_item(item_id: str, item: Item):
|
||||
stored_item_data = items[item_id]
|
||||
stored_item_model = Item(**stored_item_data)
|
||||
update_data = item.dict(exclude_unset=True)
|
||||
updated_item = stored_item_model.copy(update=update_data)
|
||||
update_data = item.model_dump(exclude_unset=True)
|
||||
updated_item = stored_item_model.model_copy(update=update_data)
|
||||
items[item_id] = jsonable_encoder(updated_item)
|
||||
return updated_item
|
||||
|
||||
@@ -1,20 +0,0 @@
|
||||
from typing import Annotated
|
||||
|
||||
from fastapi import Cookie, FastAPI
|
||||
from pydantic import BaseModel
|
||||
|
||||
app = FastAPI()
|
||||
|
||||
|
||||
class Cookies(BaseModel):
|
||||
class Config:
|
||||
extra = "forbid"
|
||||
|
||||
session_id: str
|
||||
fatebook_tracker: str | None = None
|
||||
googall_tracker: str | None = None
|
||||
|
||||
|
||||
@app.get("/items/")
|
||||
async def read_items(cookies: Annotated[Cookies, Cookie()]):
|
||||
return cookies
|
||||
@@ -1,20 +0,0 @@
|
||||
from typing import Annotated, Union
|
||||
|
||||
from fastapi import Cookie, FastAPI
|
||||
from pydantic import BaseModel
|
||||
|
||||
app = FastAPI()
|
||||
|
||||
|
||||
class Cookies(BaseModel):
|
||||
class Config:
|
||||
extra = "forbid"
|
||||
|
||||
session_id: str
|
||||
fatebook_tracker: Union[str, None] = None
|
||||
googall_tracker: Union[str, None] = None
|
||||
|
||||
|
||||
@app.get("/items/")
|
||||
async def read_items(cookies: Annotated[Cookies, Cookie()]):
|
||||
return cookies
|
||||
@@ -1,18 +0,0 @@
|
||||
from fastapi import Cookie, FastAPI
|
||||
from pydantic import BaseModel
|
||||
|
||||
app = FastAPI()
|
||||
|
||||
|
||||
class Cookies(BaseModel):
|
||||
class Config:
|
||||
extra = "forbid"
|
||||
|
||||
session_id: str
|
||||
fatebook_tracker: str | None = None
|
||||
googall_tracker: str | None = None
|
||||
|
||||
|
||||
@app.get("/items/")
|
||||
async def read_items(cookies: Cookies = Cookie()):
|
||||
return cookies
|
||||
@@ -1,20 +0,0 @@
|
||||
from typing import Union
|
||||
|
||||
from fastapi import Cookie, FastAPI
|
||||
from pydantic import BaseModel
|
||||
|
||||
app = FastAPI()
|
||||
|
||||
|
||||
class Cookies(BaseModel):
|
||||
class Config:
|
||||
extra = "forbid"
|
||||
|
||||
session_id: str
|
||||
fatebook_tracker: Union[str, None] = None
|
||||
googall_tracker: Union[str, None] = None
|
||||
|
||||
|
||||
@app.get("/items/")
|
||||
async def read_items(cookies: Cookies = Cookie()):
|
||||
return cookies
|
||||
@@ -30,7 +30,7 @@ def fake_password_hasher(raw_password: str):
|
||||
|
||||
def fake_save_user(user_in: UserIn):
|
||||
hashed_password = fake_password_hasher(user_in.password)
|
||||
user_in_db = UserInDB(**user_in.dict(), hashed_password=hashed_password)
|
||||
user_in_db = UserInDB(**user_in.model_dump(), hashed_password=hashed_password)
|
||||
print("User saved! ..not really")
|
||||
return user_in_db
|
||||
|
||||
|
||||
@@ -32,7 +32,7 @@ def fake_password_hasher(raw_password: str):
|
||||
|
||||
def fake_save_user(user_in: UserIn):
|
||||
hashed_password = fake_password_hasher(user_in.password)
|
||||
user_in_db = UserInDB(**user_in.dict(), hashed_password=hashed_password)
|
||||
user_in_db = UserInDB(**user_in.model_dump(), hashed_password=hashed_password)
|
||||
print("User saved! ..not really")
|
||||
return user_in_db
|
||||
|
||||
|
||||
@@ -28,7 +28,7 @@ def fake_password_hasher(raw_password: str):
|
||||
|
||||
def fake_save_user(user_in: UserIn):
|
||||
hashed_password = fake_password_hasher(user_in.password)
|
||||
user_in_db = UserInDB(**user_in.dict(), hashed_password=hashed_password)
|
||||
user_in_db = UserInDB(**user_in.model_dump(), hashed_password=hashed_password)
|
||||
print("User saved! ..not really")
|
||||
return user_in_db
|
||||
|
||||
|
||||
@@ -30,7 +30,7 @@ def fake_password_hasher(raw_password: str):
|
||||
|
||||
def fake_save_user(user_in: UserIn):
|
||||
hashed_password = fake_password_hasher(user_in.password)
|
||||
user_in_db = UserInDB(**user_in.dict(), hashed_password=hashed_password)
|
||||
user_in_db = UserInDB(**user_in.model_dump(), hashed_password=hashed_password)
|
||||
print("User saved! ..not really")
|
||||
return user_in_db
|
||||
|
||||
|
||||
@@ -1,22 +0,0 @@
|
||||
from typing import Annotated
|
||||
|
||||
from fastapi import FastAPI, Header
|
||||
from pydantic import BaseModel
|
||||
|
||||
app = FastAPI()
|
||||
|
||||
|
||||
class CommonHeaders(BaseModel):
|
||||
class Config:
|
||||
extra = "forbid"
|
||||
|
||||
host: str
|
||||
save_data: bool
|
||||
if_modified_since: str | None = None
|
||||
traceparent: str | None = None
|
||||
x_tag: list[str] = []
|
||||
|
||||
|
||||
@app.get("/items/")
|
||||
async def read_items(headers: Annotated[CommonHeaders, Header()]):
|
||||
return headers
|
||||
@@ -1,22 +0,0 @@
|
||||
from typing import Annotated, Union
|
||||
|
||||
from fastapi import FastAPI, Header
|
||||
from pydantic import BaseModel
|
||||
|
||||
app = FastAPI()
|
||||
|
||||
|
||||
class CommonHeaders(BaseModel):
|
||||
class Config:
|
||||
extra = "forbid"
|
||||
|
||||
host: str
|
||||
save_data: bool
|
||||
if_modified_since: Union[str, None] = None
|
||||
traceparent: Union[str, None] = None
|
||||
x_tag: list[str] = []
|
||||
|
||||
|
||||
@app.get("/items/")
|
||||
async def read_items(headers: Annotated[CommonHeaders, Header()]):
|
||||
return headers
|
||||
@@ -1,20 +0,0 @@
|
||||
from fastapi import FastAPI, Header
|
||||
from pydantic import BaseModel
|
||||
|
||||
app = FastAPI()
|
||||
|
||||
|
||||
class CommonHeaders(BaseModel):
|
||||
class Config:
|
||||
extra = "forbid"
|
||||
|
||||
host: str
|
||||
save_data: bool
|
||||
if_modified_since: str | None = None
|
||||
traceparent: str | None = None
|
||||
x_tag: list[str] = []
|
||||
|
||||
|
||||
@app.get("/items/")
|
||||
async def read_items(headers: CommonHeaders = Header()):
|
||||
return headers
|
||||
@@ -1,22 +0,0 @@
|
||||
from typing import Union
|
||||
|
||||
from fastapi import FastAPI, Header
|
||||
from pydantic import BaseModel
|
||||
|
||||
app = FastAPI()
|
||||
|
||||
|
||||
class CommonHeaders(BaseModel):
|
||||
class Config:
|
||||
extra = "forbid"
|
||||
|
||||
host: str
|
||||
save_data: bool
|
||||
if_modified_since: Union[str, None] = None
|
||||
traceparent: Union[str, None] = None
|
||||
x_tag: list[str] = []
|
||||
|
||||
|
||||
@app.get("/items/")
|
||||
async def read_items(headers: CommonHeaders = Header()):
|
||||
return headers
|
||||
@@ -1,6 +1,6 @@
|
||||
import yaml
|
||||
from fastapi import FastAPI, HTTPException, Request
|
||||
from pydantic import BaseModel, ValidationError
|
||||
from pydantic.v1 import BaseModel, ValidationError
|
||||
|
||||
app = FastAPI()
|
||||
|
||||
|
||||
@@ -1,21 +0,0 @@
|
||||
from typing import Annotated, Literal
|
||||
|
||||
from fastapi import FastAPI, Query
|
||||
from pydantic import BaseModel, Field
|
||||
|
||||
app = FastAPI()
|
||||
|
||||
|
||||
class FilterParams(BaseModel):
|
||||
class Config:
|
||||
extra = "forbid"
|
||||
|
||||
limit: int = Field(100, gt=0, le=100)
|
||||
offset: int = Field(0, ge=0)
|
||||
order_by: Literal["created_at", "updated_at"] = "created_at"
|
||||
tags: list[str] = []
|
||||
|
||||
|
||||
@app.get("/items/")
|
||||
async def read_items(filter_query: Annotated[FilterParams, Query()]):
|
||||
return filter_query
|
||||
@@ -1,21 +0,0 @@
|
||||
from typing import Annotated, Literal
|
||||
|
||||
from fastapi import FastAPI, Query
|
||||
from pydantic import BaseModel, Field
|
||||
|
||||
app = FastAPI()
|
||||
|
||||
|
||||
class FilterParams(BaseModel):
|
||||
class Config:
|
||||
extra = "forbid"
|
||||
|
||||
limit: int = Field(100, gt=0, le=100)
|
||||
offset: int = Field(0, ge=0)
|
||||
order_by: Literal["created_at", "updated_at"] = "created_at"
|
||||
tags: list[str] = []
|
||||
|
||||
|
||||
@app.get("/items/")
|
||||
async def read_items(filter_query: Annotated[FilterParams, Query()]):
|
||||
return filter_query
|
||||
@@ -1,21 +0,0 @@
|
||||
from typing import Literal
|
||||
|
||||
from fastapi import FastAPI, Query
|
||||
from pydantic import BaseModel, Field
|
||||
|
||||
app = FastAPI()
|
||||
|
||||
|
||||
class FilterParams(BaseModel):
|
||||
class Config:
|
||||
extra = "forbid"
|
||||
|
||||
limit: int = Field(100, gt=0, le=100)
|
||||
offset: int = Field(0, ge=0)
|
||||
order_by: Literal["created_at", "updated_at"] = "created_at"
|
||||
tags: list[str] = []
|
||||
|
||||
|
||||
@app.get("/items/")
|
||||
async def read_items(filter_query: FilterParams = Query()):
|
||||
return filter_query
|
||||
@@ -1,21 +0,0 @@
|
||||
from typing import Literal
|
||||
|
||||
from fastapi import FastAPI, Query
|
||||
from pydantic import BaseModel, Field
|
||||
|
||||
app = FastAPI()
|
||||
|
||||
|
||||
class FilterParams(BaseModel):
|
||||
class Config:
|
||||
extra = "forbid"
|
||||
|
||||
limit: int = Field(100, gt=0, le=100)
|
||||
offset: int = Field(0, ge=0)
|
||||
order_by: Literal["created_at", "updated_at"] = "created_at"
|
||||
tags: list[str] = []
|
||||
|
||||
|
||||
@app.get("/items/")
|
||||
async def read_items(filter_query: FilterParams = Query()):
|
||||
return filter_query
|
||||
@@ -1,7 +1,8 @@
|
||||
from typing import Annotated
|
||||
|
||||
from fastapi import FastAPI, Form
|
||||
from pydantic import BaseModel
|
||||
from fastapi import FastAPI
|
||||
from fastapi.temp_pydantic_v1_params import Form
|
||||
from pydantic.v1 import BaseModel
|
||||
|
||||
app = FastAPI()
|
||||
|
||||
|
||||
@@ -1,5 +1,6 @@
|
||||
from fastapi import FastAPI, Form
|
||||
from pydantic import BaseModel
|
||||
from fastapi import FastAPI
|
||||
from fastapi.temp_pydantic_v1_params import Form
|
||||
from pydantic.v1 import BaseModel
|
||||
|
||||
app = FastAPI()
|
||||
|
||||
|
||||
@@ -1,5 +1,5 @@
|
||||
from fastapi import FastAPI
|
||||
from pydantic import BaseModel
|
||||
from pydantic.v1 import BaseModel
|
||||
|
||||
app = FastAPI()
|
||||
|
||||
|
||||
@@ -1,7 +1,7 @@
|
||||
from typing import Union
|
||||
|
||||
from fastapi import FastAPI
|
||||
from pydantic import BaseModel
|
||||
from pydantic.v1 import BaseModel
|
||||
|
||||
app = FastAPI()
|
||||
|
||||
|
||||
@@ -1,4 +1,4 @@
|
||||
from pydantic import BaseSettings
|
||||
from pydantic.v1 import BaseSettings
|
||||
|
||||
|
||||
class Settings(BaseSettings):
|
||||
|
||||
@@ -1,4 +1,4 @@
|
||||
from pydantic import BaseSettings
|
||||
from pydantic.v1 import BaseSettings
|
||||
|
||||
|
||||
class Settings(BaseSettings):
|
||||
|
||||
@@ -1,5 +1,5 @@
|
||||
from fastapi import FastAPI
|
||||
from pydantic import BaseSettings
|
||||
from pydantic.v1 import BaseSettings
|
||||
|
||||
|
||||
class Settings(BaseSettings):
|
||||
|
||||
@@ -11,7 +11,6 @@ from .main import _is_model_class as _is_model_class
|
||||
from .main import _is_model_field as _is_model_field
|
||||
from .main import _is_undefined as _is_undefined
|
||||
from .main import _model_dump as _model_dump
|
||||
from .main import _model_rebuild as _model_rebuild
|
||||
from .main import copy_field_info as copy_field_info
|
||||
from .main import create_body_model as create_body_model
|
||||
from .main import evaluate_forwardref as evaluate_forwardref
|
||||
|
||||
@@ -6,43 +6,26 @@ from typing import (
|
||||
)
|
||||
|
||||
from fastapi._compat import may_v1
|
||||
from fastapi._compat.shared import PYDANTIC_V2, lenient_issubclass
|
||||
from fastapi._compat.shared import lenient_issubclass
|
||||
from fastapi.types import ModelNameMap
|
||||
from pydantic import BaseModel
|
||||
from typing_extensions import Literal
|
||||
|
||||
from . import v2
|
||||
from .model_field import ModelField
|
||||
|
||||
if PYDANTIC_V2:
|
||||
from .v2 import BaseConfig as BaseConfig
|
||||
from .v2 import FieldInfo as FieldInfo
|
||||
from .v2 import PydanticSchemaGenerationError as PydanticSchemaGenerationError
|
||||
from .v2 import RequiredParam as RequiredParam
|
||||
from .v2 import Undefined as Undefined
|
||||
from .v2 import UndefinedType as UndefinedType
|
||||
from .v2 import Url as Url
|
||||
from .v2 import Validator as Validator
|
||||
from .v2 import evaluate_forwardref as evaluate_forwardref
|
||||
from .v2 import get_missing_field_error as get_missing_field_error
|
||||
from .v2 import (
|
||||
with_info_plain_validator_function as with_info_plain_validator_function,
|
||||
)
|
||||
else:
|
||||
from .v1 import BaseConfig as BaseConfig # type: ignore[assignment]
|
||||
from .v1 import FieldInfo as FieldInfo
|
||||
from .v1 import ( # type: ignore[assignment]
|
||||
PydanticSchemaGenerationError as PydanticSchemaGenerationError,
|
||||
)
|
||||
from .v1 import RequiredParam as RequiredParam
|
||||
from .v1 import Undefined as Undefined
|
||||
from .v1 import UndefinedType as UndefinedType
|
||||
from .v1 import Url as Url # type: ignore[assignment]
|
||||
from .v1 import Validator as Validator
|
||||
from .v1 import evaluate_forwardref as evaluate_forwardref
|
||||
from .v1 import get_missing_field_error as get_missing_field_error
|
||||
from .v1 import ( # type: ignore[assignment]
|
||||
with_info_plain_validator_function as with_info_plain_validator_function,
|
||||
)
|
||||
from .v2 import BaseConfig as BaseConfig
|
||||
from .v2 import FieldInfo as FieldInfo
|
||||
from .v2 import PydanticSchemaGenerationError as PydanticSchemaGenerationError
|
||||
from .v2 import RequiredParam as RequiredParam
|
||||
from .v2 import Undefined as Undefined
|
||||
from .v2 import UndefinedType as UndefinedType
|
||||
from .v2 import Url as Url
|
||||
from .v2 import Validator as Validator
|
||||
from .v2 import evaluate_forwardref as evaluate_forwardref
|
||||
from .v2 import get_missing_field_error as get_missing_field_error
|
||||
from .v2 import (
|
||||
with_info_plain_validator_function as with_info_plain_validator_function,
|
||||
)
|
||||
|
||||
|
||||
@lru_cache
|
||||
@@ -50,7 +33,7 @@ def get_cached_model_fields(model: type[BaseModel]) -> list[ModelField]:
|
||||
if lenient_issubclass(model, may_v1.BaseModel):
|
||||
from fastapi._compat import v1
|
||||
|
||||
return v1.get_model_fields(model)
|
||||
return v1.get_model_fields(model) # type: ignore[arg-type,return-value]
|
||||
else:
|
||||
from . import v2
|
||||
|
||||
@@ -60,11 +43,8 @@ def get_cached_model_fields(model: type[BaseModel]) -> list[ModelField]:
|
||||
def _is_undefined(value: object) -> bool:
|
||||
if isinstance(value, may_v1.UndefinedType):
|
||||
return True
|
||||
elif PYDANTIC_V2:
|
||||
from . import v2
|
||||
|
||||
return isinstance(value, v2.UndefinedType)
|
||||
return False
|
||||
return isinstance(value, v2.UndefinedType)
|
||||
|
||||
|
||||
def _get_model_config(model: BaseModel) -> Any:
|
||||
@@ -72,10 +52,8 @@ def _get_model_config(model: BaseModel) -> Any:
|
||||
from fastapi._compat import v1
|
||||
|
||||
return v1._get_model_config(model)
|
||||
elif PYDANTIC_V2:
|
||||
from . import v2
|
||||
|
||||
return v2._get_model_config(model)
|
||||
return v2._get_model_config(model)
|
||||
|
||||
|
||||
def _model_dump(
|
||||
@@ -85,20 +63,15 @@ def _model_dump(
|
||||
from fastapi._compat import v1
|
||||
|
||||
return v1._model_dump(model, mode=mode, **kwargs)
|
||||
elif PYDANTIC_V2:
|
||||
from . import v2
|
||||
|
||||
return v2._model_dump(model, mode=mode, **kwargs)
|
||||
return v2._model_dump(model, mode=mode, **kwargs)
|
||||
|
||||
|
||||
def _is_error_wrapper(exc: Exception) -> bool:
|
||||
if isinstance(exc, may_v1.ErrorWrapper):
|
||||
return True
|
||||
elif PYDANTIC_V2:
|
||||
from . import v2
|
||||
|
||||
return isinstance(exc, v2.ErrorWrapper)
|
||||
return False
|
||||
return isinstance(exc, v2.ErrorWrapper)
|
||||
|
||||
|
||||
def copy_field_info(*, field_info: FieldInfo, annotation: Any) -> FieldInfo:
|
||||
@@ -106,11 +79,8 @@ def copy_field_info(*, field_info: FieldInfo, annotation: Any) -> FieldInfo:
|
||||
from fastapi._compat import v1
|
||||
|
||||
return v1.copy_field_info(field_info=field_info, annotation=annotation)
|
||||
else:
|
||||
assert PYDANTIC_V2
|
||||
from . import v2
|
||||
|
||||
return v2.copy_field_info(field_info=field_info, annotation=annotation)
|
||||
return v2.copy_field_info(field_info=field_info, annotation=annotation)
|
||||
|
||||
|
||||
def create_body_model(
|
||||
@@ -120,11 +90,8 @@ def create_body_model(
|
||||
from fastapi._compat import v1
|
||||
|
||||
return v1.create_body_model(fields=fields, model_name=model_name)
|
||||
else:
|
||||
assert PYDANTIC_V2
|
||||
from . import v2
|
||||
|
||||
return v2.create_body_model(fields=fields, model_name=model_name) # type: ignore[arg-type]
|
||||
return v2.create_body_model(fields=fields, model_name=model_name) # type: ignore[arg-type]
|
||||
|
||||
|
||||
def get_annotation_from_field_info(
|
||||
@@ -136,13 +103,10 @@ def get_annotation_from_field_info(
|
||||
return v1.get_annotation_from_field_info(
|
||||
annotation=annotation, field_info=field_info, field_name=field_name
|
||||
)
|
||||
else:
|
||||
assert PYDANTIC_V2
|
||||
from . import v2
|
||||
|
||||
return v2.get_annotation_from_field_info(
|
||||
annotation=annotation, field_info=field_info, field_name=field_name
|
||||
)
|
||||
return v2.get_annotation_from_field_info(
|
||||
annotation=annotation, field_info=field_info, field_name=field_name
|
||||
)
|
||||
|
||||
|
||||
def is_bytes_field(field: ModelField) -> bool:
|
||||
@@ -150,11 +114,8 @@ def is_bytes_field(field: ModelField) -> bool:
|
||||
from fastapi._compat import v1
|
||||
|
||||
return v1.is_bytes_field(field)
|
||||
else:
|
||||
assert PYDANTIC_V2
|
||||
from . import v2
|
||||
|
||||
return v2.is_bytes_field(field) # type: ignore[arg-type]
|
||||
return v2.is_bytes_field(field) # type: ignore[arg-type]
|
||||
|
||||
|
||||
def is_bytes_sequence_field(field: ModelField) -> bool:
|
||||
@@ -162,11 +123,8 @@ def is_bytes_sequence_field(field: ModelField) -> bool:
|
||||
from fastapi._compat import v1
|
||||
|
||||
return v1.is_bytes_sequence_field(field)
|
||||
else:
|
||||
assert PYDANTIC_V2
|
||||
from . import v2
|
||||
|
||||
return v2.is_bytes_sequence_field(field) # type: ignore[arg-type]
|
||||
return v2.is_bytes_sequence_field(field) # type: ignore[arg-type]
|
||||
|
||||
|
||||
def is_scalar_field(field: ModelField) -> bool:
|
||||
@@ -174,23 +132,12 @@ def is_scalar_field(field: ModelField) -> bool:
|
||||
from fastapi._compat import v1
|
||||
|
||||
return v1.is_scalar_field(field)
|
||||
else:
|
||||
assert PYDANTIC_V2
|
||||
from . import v2
|
||||
|
||||
return v2.is_scalar_field(field) # type: ignore[arg-type]
|
||||
return v2.is_scalar_field(field) # type: ignore[arg-type]
|
||||
|
||||
|
||||
def is_scalar_sequence_field(field: ModelField) -> bool:
|
||||
if isinstance(field, may_v1.ModelField):
|
||||
from fastapi._compat import v1
|
||||
|
||||
return v1.is_scalar_sequence_field(field)
|
||||
else:
|
||||
assert PYDANTIC_V2
|
||||
from . import v2
|
||||
|
||||
return v2.is_scalar_sequence_field(field) # type: ignore[arg-type]
|
||||
return v2.is_scalar_sequence_field(field) # type: ignore[arg-type]
|
||||
|
||||
|
||||
def is_sequence_field(field: ModelField) -> bool:
|
||||
@@ -198,11 +145,8 @@ def is_sequence_field(field: ModelField) -> bool:
|
||||
from fastapi._compat import v1
|
||||
|
||||
return v1.is_sequence_field(field)
|
||||
else:
|
||||
assert PYDANTIC_V2
|
||||
from . import v2
|
||||
|
||||
return v2.is_sequence_field(field) # type: ignore[arg-type]
|
||||
return v2.is_sequence_field(field) # type: ignore[arg-type]
|
||||
|
||||
|
||||
def serialize_sequence_value(*, field: ModelField, value: Any) -> Sequence[Any]:
|
||||
@@ -210,22 +154,8 @@ def serialize_sequence_value(*, field: ModelField, value: Any) -> Sequence[Any]:
|
||||
from fastapi._compat import v1
|
||||
|
||||
return v1.serialize_sequence_value(field=field, value=value)
|
||||
else:
|
||||
assert PYDANTIC_V2
|
||||
from . import v2
|
||||
|
||||
return v2.serialize_sequence_value(field=field, value=value) # type: ignore[arg-type]
|
||||
|
||||
|
||||
def _model_rebuild(model: type[BaseModel]) -> None:
|
||||
if lenient_issubclass(model, may_v1.BaseModel):
|
||||
from fastapi._compat import v1
|
||||
|
||||
v1._model_rebuild(model)
|
||||
elif PYDANTIC_V2:
|
||||
from . import v2
|
||||
|
||||
v2._model_rebuild(model)
|
||||
return v2.serialize_sequence_value(field=field, value=value) # type: ignore[arg-type]
|
||||
|
||||
|
||||
def get_compat_model_name_map(fields: list[ModelField]) -> ModelNameMap:
|
||||
@@ -236,27 +166,18 @@ def get_compat_model_name_map(fields: list[ModelField]) -> ModelNameMap:
|
||||
from fastapi._compat import v1
|
||||
|
||||
v1_flat_models = v1.get_flat_models_from_fields(
|
||||
v1_model_fields, known_models=set()
|
||||
v1_model_fields, # type: ignore[arg-type]
|
||||
known_models=set(),
|
||||
)
|
||||
all_flat_models = v1_flat_models
|
||||
else:
|
||||
all_flat_models = set()
|
||||
if PYDANTIC_V2:
|
||||
from . import v2
|
||||
|
||||
v2_model_fields = [
|
||||
field for field in fields if isinstance(field, v2.ModelField)
|
||||
]
|
||||
v2_flat_models = v2.get_flat_models_from_fields(
|
||||
v2_model_fields, known_models=set()
|
||||
)
|
||||
all_flat_models = all_flat_models.union(v2_flat_models)
|
||||
v2_model_fields = [field for field in fields if isinstance(field, v2.ModelField)]
|
||||
v2_flat_models = v2.get_flat_models_from_fields(v2_model_fields, known_models=set())
|
||||
all_flat_models = all_flat_models.union(v2_flat_models) # type: ignore[arg-type]
|
||||
|
||||
model_name_map = v2.get_model_name_map(all_flat_models)
|
||||
return model_name_map
|
||||
from fastapi._compat import v1
|
||||
|
||||
model_name_map = v1.get_model_name_map(all_flat_models)
|
||||
model_name_map = v2.get_model_name_map(all_flat_models) # type: ignore[arg-type]
|
||||
return model_name_map
|
||||
|
||||
|
||||
@@ -275,29 +196,23 @@ def get_definitions(
|
||||
if sys.version_info < (3, 14):
|
||||
v1_fields = [field for field in fields if isinstance(field, may_v1.ModelField)]
|
||||
v1_field_maps, v1_definitions = may_v1.get_definitions(
|
||||
fields=v1_fields,
|
||||
fields=v1_fields, # type: ignore[arg-type]
|
||||
model_name_map=model_name_map,
|
||||
separate_input_output_schemas=separate_input_output_schemas,
|
||||
)
|
||||
if not PYDANTIC_V2:
|
||||
return v1_field_maps, v1_definitions
|
||||
else:
|
||||
from . import v2
|
||||
|
||||
v2_fields = [field for field in fields if isinstance(field, v2.ModelField)]
|
||||
v2_field_maps, v2_definitions = v2.get_definitions(
|
||||
fields=v2_fields,
|
||||
model_name_map=model_name_map,
|
||||
separate_input_output_schemas=separate_input_output_schemas,
|
||||
)
|
||||
all_definitions = {**v1_definitions, **v2_definitions}
|
||||
all_field_maps = {**v1_field_maps, **v2_field_maps}
|
||||
return all_field_maps, all_definitions
|
||||
v2_fields = [field for field in fields if isinstance(field, v2.ModelField)]
|
||||
v2_field_maps, v2_definitions = v2.get_definitions(
|
||||
fields=v2_fields,
|
||||
model_name_map=model_name_map,
|
||||
separate_input_output_schemas=separate_input_output_schemas,
|
||||
)
|
||||
all_definitions = {**v1_definitions, **v2_definitions}
|
||||
all_field_maps = {**v1_field_maps, **v2_field_maps} # type: ignore[misc]
|
||||
return all_field_maps, all_definitions
|
||||
|
||||
# Pydantic v1 is not supported since Python 3.14
|
||||
else:
|
||||
from . import v2
|
||||
|
||||
v2_fields = [field for field in fields if isinstance(field, v2.ModelField)]
|
||||
v2_field_maps, v2_definitions = v2.get_definitions(
|
||||
fields=v2_fields,
|
||||
@@ -326,33 +241,24 @@ def get_schema_from_model_field(
|
||||
field_mapping=field_mapping,
|
||||
separate_input_output_schemas=separate_input_output_schemas,
|
||||
)
|
||||
else:
|
||||
assert PYDANTIC_V2
|
||||
from . import v2
|
||||
|
||||
return v2.get_schema_from_model_field(
|
||||
field=field, # type: ignore[arg-type]
|
||||
model_name_map=model_name_map,
|
||||
field_mapping=field_mapping, # type: ignore[arg-type]
|
||||
separate_input_output_schemas=separate_input_output_schemas,
|
||||
)
|
||||
return v2.get_schema_from_model_field(
|
||||
field=field, # type: ignore[arg-type]
|
||||
model_name_map=model_name_map,
|
||||
field_mapping=field_mapping, # type: ignore[arg-type]
|
||||
separate_input_output_schemas=separate_input_output_schemas,
|
||||
)
|
||||
|
||||
|
||||
def _is_model_field(value: Any) -> bool:
|
||||
if isinstance(value, may_v1.ModelField):
|
||||
return True
|
||||
elif PYDANTIC_V2:
|
||||
from . import v2
|
||||
|
||||
return isinstance(value, v2.ModelField)
|
||||
return False
|
||||
return isinstance(value, v2.ModelField)
|
||||
|
||||
|
||||
def _is_model_class(value: Any) -> bool:
|
||||
if lenient_issubclass(value, may_v1.BaseModel):
|
||||
return True
|
||||
elif PYDANTIC_V2:
|
||||
from . import v2
|
||||
|
||||
return lenient_issubclass(value, v2.BaseModel) # type: ignore[attr-defined]
|
||||
return False
|
||||
return lenient_issubclass(value, v2.BaseModel) # type: ignore[attr-defined]
|
||||
|
||||
@@ -102,7 +102,7 @@ def _normalize_errors(errors: Sequence[Any]) -> list[dict[str, Any]]:
|
||||
use_errors: list[Any] = []
|
||||
for error in errors:
|
||||
if isinstance(error, ErrorWrapper):
|
||||
new_errors = ValidationError( # type: ignore[call-arg]
|
||||
new_errors = ValidationError(
|
||||
errors=[error], model=RequestErrorModel
|
||||
).errors()
|
||||
use_errors.extend(new_errors)
|
||||
|
||||
@@ -11,6 +11,44 @@ from typing import (
|
||||
from fastapi._compat import shared
|
||||
from fastapi.openapi.constants import REF_PREFIX as REF_PREFIX
|
||||
from fastapi.types import ModelNameMap
|
||||
from pydantic.v1 import BaseConfig as BaseConfig
|
||||
from pydantic.v1 import BaseModel as BaseModel
|
||||
from pydantic.v1 import ValidationError as ValidationError
|
||||
from pydantic.v1 import create_model as create_model
|
||||
from pydantic.v1.class_validators import Validator as Validator
|
||||
from pydantic.v1.color import Color as Color
|
||||
from pydantic.v1.error_wrappers import ErrorWrapper as ErrorWrapper
|
||||
from pydantic.v1.fields import (
|
||||
SHAPE_FROZENSET,
|
||||
SHAPE_LIST,
|
||||
SHAPE_SEQUENCE,
|
||||
SHAPE_SET,
|
||||
SHAPE_SINGLETON,
|
||||
SHAPE_TUPLE,
|
||||
SHAPE_TUPLE_ELLIPSIS,
|
||||
)
|
||||
from pydantic.v1.fields import FieldInfo as FieldInfo
|
||||
from pydantic.v1.fields import ModelField as ModelField
|
||||
from pydantic.v1.fields import Undefined as Undefined
|
||||
from pydantic.v1.fields import UndefinedType as UndefinedType
|
||||
from pydantic.v1.networks import AnyUrl as AnyUrl
|
||||
from pydantic.v1.networks import NameEmail as NameEmail
|
||||
from pydantic.v1.schema import TypeModelSet as TypeModelSet
|
||||
from pydantic.v1.schema import field_schema, model_process_schema
|
||||
from pydantic.v1.schema import (
|
||||
get_annotation_from_field_info as get_annotation_from_field_info,
|
||||
)
|
||||
from pydantic.v1.schema import (
|
||||
get_flat_models_from_field as get_flat_models_from_field,
|
||||
)
|
||||
from pydantic.v1.schema import (
|
||||
get_flat_models_from_fields as get_flat_models_from_fields,
|
||||
)
|
||||
from pydantic.v1.schema import get_model_name_map as get_model_name_map
|
||||
from pydantic.v1.types import SecretBytes as SecretBytes
|
||||
from pydantic.v1.types import SecretStr as SecretStr
|
||||
from pydantic.v1.typing import evaluate_forwardref as evaluate_forwardref
|
||||
from pydantic.v1.utils import lenient_issubclass as lenient_issubclass
|
||||
from pydantic.version import VERSION as PYDANTIC_VERSION
|
||||
from typing_extensions import Literal
|
||||
|
||||
@@ -20,103 +58,6 @@ PYDANTIC_V2 = PYDANTIC_VERSION_MINOR_TUPLE[0] == 2
|
||||
# shadowing typing.Required.
|
||||
RequiredParam: Any = Ellipsis
|
||||
|
||||
if not PYDANTIC_V2:
|
||||
from pydantic import BaseConfig as BaseConfig
|
||||
from pydantic import BaseModel as BaseModel
|
||||
from pydantic import ValidationError as ValidationError
|
||||
from pydantic import create_model as create_model
|
||||
from pydantic.class_validators import Validator as Validator
|
||||
from pydantic.color import Color as Color
|
||||
from pydantic.error_wrappers import ErrorWrapper as ErrorWrapper
|
||||
from pydantic.errors import MissingError
|
||||
from pydantic.fields import ( # type: ignore[attr-defined]
|
||||
SHAPE_FROZENSET,
|
||||
SHAPE_LIST,
|
||||
SHAPE_SEQUENCE,
|
||||
SHAPE_SET,
|
||||
SHAPE_SINGLETON,
|
||||
SHAPE_TUPLE,
|
||||
SHAPE_TUPLE_ELLIPSIS,
|
||||
)
|
||||
from pydantic.fields import FieldInfo as FieldInfo
|
||||
from pydantic.fields import ModelField as ModelField # type: ignore[attr-defined]
|
||||
from pydantic.fields import Undefined as Undefined # type: ignore[attr-defined]
|
||||
from pydantic.fields import ( # type: ignore[attr-defined]
|
||||
UndefinedType as UndefinedType,
|
||||
)
|
||||
from pydantic.networks import AnyUrl as AnyUrl
|
||||
from pydantic.networks import NameEmail as NameEmail
|
||||
from pydantic.schema import TypeModelSet as TypeModelSet
|
||||
from pydantic.schema import (
|
||||
field_schema,
|
||||
model_process_schema,
|
||||
)
|
||||
from pydantic.schema import (
|
||||
get_annotation_from_field_info as get_annotation_from_field_info,
|
||||
)
|
||||
from pydantic.schema import get_flat_models_from_field as get_flat_models_from_field
|
||||
from pydantic.schema import (
|
||||
get_flat_models_from_fields as get_flat_models_from_fields,
|
||||
)
|
||||
from pydantic.schema import get_model_name_map as get_model_name_map
|
||||
from pydantic.types import SecretBytes as SecretBytes
|
||||
from pydantic.types import SecretStr as SecretStr
|
||||
from pydantic.typing import evaluate_forwardref as evaluate_forwardref
|
||||
from pydantic.utils import lenient_issubclass as lenient_issubclass
|
||||
|
||||
|
||||
else:
|
||||
from pydantic.v1 import BaseConfig as BaseConfig # type: ignore[assignment]
|
||||
from pydantic.v1 import BaseModel as BaseModel # type: ignore[assignment]
|
||||
from pydantic.v1 import ( # type: ignore[assignment]
|
||||
ValidationError as ValidationError,
|
||||
)
|
||||
from pydantic.v1 import create_model as create_model # type: ignore[no-redef]
|
||||
from pydantic.v1.class_validators import Validator as Validator
|
||||
from pydantic.v1.color import Color as Color # type: ignore[assignment]
|
||||
from pydantic.v1.error_wrappers import ErrorWrapper as ErrorWrapper
|
||||
from pydantic.v1.errors import MissingError
|
||||
from pydantic.v1.fields import (
|
||||
SHAPE_FROZENSET,
|
||||
SHAPE_LIST,
|
||||
SHAPE_SEQUENCE,
|
||||
SHAPE_SET,
|
||||
SHAPE_SINGLETON,
|
||||
SHAPE_TUPLE,
|
||||
SHAPE_TUPLE_ELLIPSIS,
|
||||
)
|
||||
from pydantic.v1.fields import FieldInfo as FieldInfo # type: ignore[assignment]
|
||||
from pydantic.v1.fields import ModelField as ModelField
|
||||
from pydantic.v1.fields import Undefined as Undefined
|
||||
from pydantic.v1.fields import UndefinedType as UndefinedType
|
||||
from pydantic.v1.networks import AnyUrl as AnyUrl
|
||||
from pydantic.v1.networks import ( # type: ignore[assignment]
|
||||
NameEmail as NameEmail,
|
||||
)
|
||||
from pydantic.v1.schema import TypeModelSet as TypeModelSet
|
||||
from pydantic.v1.schema import (
|
||||
field_schema,
|
||||
model_process_schema,
|
||||
)
|
||||
from pydantic.v1.schema import (
|
||||
get_annotation_from_field_info as get_annotation_from_field_info,
|
||||
)
|
||||
from pydantic.v1.schema import (
|
||||
get_flat_models_from_field as get_flat_models_from_field,
|
||||
)
|
||||
from pydantic.v1.schema import (
|
||||
get_flat_models_from_fields as get_flat_models_from_fields,
|
||||
)
|
||||
from pydantic.v1.schema import get_model_name_map as get_model_name_map
|
||||
from pydantic.v1.types import ( # type: ignore[assignment]
|
||||
SecretBytes as SecretBytes,
|
||||
)
|
||||
from pydantic.v1.types import ( # type: ignore[assignment]
|
||||
SecretStr as SecretStr,
|
||||
)
|
||||
from pydantic.v1.typing import evaluate_forwardref as evaluate_forwardref
|
||||
from pydantic.v1.utils import lenient_issubclass as lenient_issubclass
|
||||
|
||||
|
||||
GetJsonSchemaHandler = Any
|
||||
JsonSchemaValue = dict[str, Any]
|
||||
@@ -200,24 +141,6 @@ def is_pv1_scalar_field(field: ModelField) -> bool:
|
||||
return True
|
||||
|
||||
|
||||
def is_pv1_scalar_sequence_field(field: ModelField) -> bool:
|
||||
if (field.shape in sequence_shapes) and not lenient_issubclass(
|
||||
field.type_, BaseModel
|
||||
):
|
||||
if field.sub_fields is not None:
|
||||
for sub_field in field.sub_fields:
|
||||
if not is_pv1_scalar_field(sub_field):
|
||||
return False
|
||||
return True
|
||||
if shared._annotation_is_sequence(field.type_):
|
||||
return True
|
||||
return False
|
||||
|
||||
|
||||
def _model_rebuild(model: type[BaseModel]) -> None:
|
||||
model.update_forward_refs()
|
||||
|
||||
|
||||
def _model_dump(
|
||||
model: BaseModel, mode: Literal["json", "python"] = "json", **kwargs: Any
|
||||
) -> Any:
|
||||
@@ -225,7 +148,7 @@ def _model_dump(
|
||||
|
||||
|
||||
def _get_model_config(model: BaseModel) -> Any:
|
||||
return model.__config__ # type: ignore[attr-defined]
|
||||
return model.__config__
|
||||
|
||||
|
||||
def get_schema_from_model_field(
|
||||
@@ -237,8 +160,10 @@ def get_schema_from_model_field(
|
||||
],
|
||||
separate_input_output_schemas: bool = True,
|
||||
) -> dict[str, Any]:
|
||||
return field_schema( # type: ignore[no-any-return]
|
||||
field, model_name_map=model_name_map, ref_prefix=REF_PREFIX
|
||||
return field_schema(
|
||||
field,
|
||||
model_name_map=model_name_map, # type: ignore[arg-type]
|
||||
ref_prefix=REF_PREFIX,
|
||||
)[0]
|
||||
|
||||
|
||||
@@ -257,7 +182,7 @@ def get_definitions(
|
||||
dict[str, dict[str, Any]],
|
||||
]:
|
||||
models = get_flat_models_from_fields(fields, known_models=set())
|
||||
return {}, get_model_definitions(flat_models=models, model_name_map=model_name_map)
|
||||
return {}, get_model_definitions(flat_models=models, model_name_map=model_name_map) # type: ignore[arg-type]
|
||||
|
||||
|
||||
def is_scalar_field(field: ModelField) -> bool:
|
||||
@@ -268,12 +193,8 @@ def is_sequence_field(field: ModelField) -> bool:
|
||||
return field.shape in sequence_shapes or shared._annotation_is_sequence(field.type_)
|
||||
|
||||
|
||||
def is_scalar_sequence_field(field: ModelField) -> bool:
|
||||
return is_pv1_scalar_sequence_field(field)
|
||||
|
||||
|
||||
def is_bytes_field(field: ModelField) -> bool:
|
||||
return lenient_issubclass(field.type_, bytes) # type: ignore[no-any-return]
|
||||
return lenient_issubclass(field.type_, bytes)
|
||||
|
||||
|
||||
def is_bytes_sequence_field(field: ModelField) -> bool:
|
||||
@@ -288,20 +209,14 @@ def serialize_sequence_value(*, field: ModelField, value: Any) -> Sequence[Any]:
|
||||
return sequence_shape_to_type[field.shape](value) # type: ignore[no-any-return]
|
||||
|
||||
|
||||
def get_missing_field_error(loc: tuple[str, ...]) -> dict[str, Any]:
|
||||
missing_field_error = ErrorWrapper(MissingError(), loc=loc)
|
||||
new_error = ValidationError([missing_field_error], RequestErrorModel)
|
||||
return new_error.errors()[0] # type: ignore[return-value]
|
||||
|
||||
|
||||
def create_body_model(
|
||||
*, fields: Sequence[ModelField], model_name: str
|
||||
) -> type[BaseModel]:
|
||||
BodyModel = create_model(model_name)
|
||||
for f in fields:
|
||||
BodyModel.__fields__[f.name] = f # type: ignore[index]
|
||||
BodyModel.__fields__[f.name] = f
|
||||
return BodyModel
|
||||
|
||||
|
||||
def get_model_fields(model: type[BaseModel]) -> list[ModelField]:
|
||||
return list(model.__fields__.values()) # type: ignore[attr-defined]
|
||||
return list(model.__fields__.values())
|
||||
|
||||
@@ -216,10 +216,6 @@ def get_annotation_from_field_info(
|
||||
return annotation
|
||||
|
||||
|
||||
def _model_rebuild(model: type[BaseModel]) -> None:
|
||||
model.model_rebuild()
|
||||
|
||||
|
||||
def _model_dump(
|
||||
model: BaseModel, mode: Literal["json", "python"] = "json", **kwargs: Any
|
||||
) -> Any:
|
||||
|
||||
@@ -1,4 +1,3 @@
|
||||
from collections.abc import Iterable
|
||||
from typing import (
|
||||
Annotated,
|
||||
Any,
|
||||
@@ -135,27 +134,12 @@ class UploadFile(StarletteUploadFile):
|
||||
"""
|
||||
return await super().close()
|
||||
|
||||
@classmethod
|
||||
def __get_validators__(cls: type["UploadFile"]) -> Iterable[Callable[..., Any]]:
|
||||
yield cls.validate
|
||||
|
||||
@classmethod
|
||||
def validate(cls: type["UploadFile"], v: Any) -> Any:
|
||||
if not isinstance(v, StarletteUploadFile):
|
||||
raise ValueError(f"Expected UploadFile, received: {type(v)}")
|
||||
return v
|
||||
|
||||
@classmethod
|
||||
def _validate(cls, __input_value: Any, _: Any) -> "UploadFile":
|
||||
if not isinstance(__input_value, StarletteUploadFile):
|
||||
raise ValueError(f"Expected UploadFile, received: {type(__input_value)}")
|
||||
return cast(UploadFile, __input_value)
|
||||
|
||||
# TODO: remove when deprecating Pydantic v1
|
||||
@classmethod
|
||||
def __modify_schema__(cls, field_schema: dict[str, Any]) -> None:
|
||||
field_schema.update({"type": "string", "format": "binary"})
|
||||
|
||||
@classmethod
|
||||
def __get_pydantic_json_schema__(
|
||||
cls, core_schema: CoreSchema, handler: GetJsonSchemaHandler
|
||||
|
||||
@@ -18,7 +18,6 @@ from typing import (
|
||||
import anyio
|
||||
from fastapi import params
|
||||
from fastapi._compat import (
|
||||
PYDANTIC_V2,
|
||||
ModelField,
|
||||
RequiredParam,
|
||||
Undefined,
|
||||
@@ -410,7 +409,8 @@ def analyze_param(
|
||||
if isinstance(fastapi_annotation, (FieldInfo, may_v1.FieldInfo)):
|
||||
# Copy `field_info` because we mutate `field_info.default` below.
|
||||
field_info = copy_field_info(
|
||||
field_info=fastapi_annotation, annotation=use_annotation
|
||||
field_info=fastapi_annotation, # type: ignore[arg-type]
|
||||
annotation=use_annotation,
|
||||
)
|
||||
assert field_info.default in {
|
||||
Undefined,
|
||||
@@ -444,10 +444,9 @@ def analyze_param(
|
||||
"Cannot specify FastAPI annotations in `Annotated` and default value"
|
||||
f" together for {param_name!r}"
|
||||
)
|
||||
field_info = value
|
||||
if PYDANTIC_V2:
|
||||
if isinstance(field_info, FieldInfo):
|
||||
field_info.annotation = type_annotation
|
||||
field_info = value # type: ignore[assignment]
|
||||
if isinstance(field_info, FieldInfo):
|
||||
field_info.annotation = type_annotation
|
||||
|
||||
# Get Depends from type annotation
|
||||
if depends is not None and depends.dependency is None:
|
||||
@@ -485,7 +484,7 @@ def analyze_param(
|
||||
field_info = params.File(annotation=use_annotation, default=default_value)
|
||||
elif not field_annotation_is_scalar(annotation=type_annotation):
|
||||
if annotation_is_pydantic_v1(use_annotation):
|
||||
field_info = temp_pydantic_v1_params.Body(
|
||||
field_info = temp_pydantic_v1_params.Body( # type: ignore[assignment]
|
||||
annotation=use_annotation, default=default_value
|
||||
)
|
||||
else:
|
||||
|
||||
@@ -228,11 +228,11 @@ def jsonable_encoder(
|
||||
# TODO: remove when deprecating Pydantic v1
|
||||
encoders: dict[Any, Any] = {}
|
||||
if isinstance(obj, may_v1.BaseModel):
|
||||
encoders = getattr(obj.__config__, "json_encoders", {}) # type: ignore[attr-defined]
|
||||
encoders = getattr(obj.__config__, "json_encoders", {})
|
||||
if custom_encoder:
|
||||
encoders = {**encoders, **custom_encoder}
|
||||
obj_dict = _model_dump(
|
||||
obj,
|
||||
obj, # type: ignore[arg-type]
|
||||
mode="json",
|
||||
include=include,
|
||||
exclude=exclude,
|
||||
|
||||
@@ -3,11 +3,9 @@ from enum import Enum
|
||||
from typing import Annotated, Any, Callable, Optional, Union
|
||||
|
||||
from fastapi._compat import (
|
||||
PYDANTIC_V2,
|
||||
CoreSchema,
|
||||
GetJsonSchemaHandler,
|
||||
JsonSchemaValue,
|
||||
_model_rebuild,
|
||||
with_info_plain_validator_function,
|
||||
)
|
||||
from fastapi.logger import logger
|
||||
@@ -57,13 +55,7 @@ except ImportError: # pragma: no cover
|
||||
|
||||
|
||||
class BaseModelWithConfig(BaseModel):
|
||||
if PYDANTIC_V2:
|
||||
model_config = {"extra": "allow"}
|
||||
|
||||
else:
|
||||
|
||||
class Config:
|
||||
extra = "allow"
|
||||
model_config = {"extra": "allow"}
|
||||
|
||||
|
||||
class Contact(BaseModelWithConfig):
|
||||
@@ -226,13 +218,7 @@ class Example(TypedDict, total=False):
|
||||
value: Optional[Any]
|
||||
externalValue: Optional[AnyUrl]
|
||||
|
||||
if PYDANTIC_V2: # type: ignore [misc]
|
||||
__pydantic_config__ = {"extra": "allow"}
|
||||
|
||||
else:
|
||||
|
||||
class Config:
|
||||
extra = "allow"
|
||||
__pydantic_config__ = {"extra": "allow"} # type: ignore[misc]
|
||||
|
||||
|
||||
class ParameterInType(Enum):
|
||||
@@ -447,6 +433,6 @@ class OpenAPI(BaseModelWithConfig):
|
||||
externalDocs: Optional[ExternalDocumentation] = None
|
||||
|
||||
|
||||
_model_rebuild(Schema)
|
||||
_model_rebuild(Operation)
|
||||
_model_rebuild(Encoding)
|
||||
Schema.model_rebuild()
|
||||
Operation.model_rebuild()
|
||||
Encoding.model_rebuild()
|
||||
|
||||
@@ -9,8 +9,6 @@ from pydantic.fields import FieldInfo
|
||||
from typing_extensions import Literal, deprecated
|
||||
|
||||
from ._compat import (
|
||||
PYDANTIC_V2,
|
||||
PYDANTIC_VERSION_MINOR_TUPLE,
|
||||
Undefined,
|
||||
)
|
||||
|
||||
@@ -111,29 +109,24 @@ class Param(FieldInfo): # type: ignore[misc]
|
||||
stacklevel=4,
|
||||
)
|
||||
current_json_schema_extra = json_schema_extra or extra
|
||||
if PYDANTIC_VERSION_MINOR_TUPLE < (2, 7):
|
||||
self.deprecated = deprecated
|
||||
else:
|
||||
kwargs["deprecated"] = deprecated
|
||||
if PYDANTIC_V2:
|
||||
if serialization_alias in (_Unset, None) and isinstance(alias, str):
|
||||
serialization_alias = alias
|
||||
if validation_alias in (_Unset, None):
|
||||
validation_alias = alias
|
||||
kwargs.update(
|
||||
{
|
||||
"annotation": annotation,
|
||||
"alias_priority": alias_priority,
|
||||
"validation_alias": validation_alias,
|
||||
"serialization_alias": serialization_alias,
|
||||
"strict": strict,
|
||||
"json_schema_extra": current_json_schema_extra,
|
||||
}
|
||||
)
|
||||
kwargs["pattern"] = pattern or regex
|
||||
else:
|
||||
kwargs["regex"] = pattern or regex
|
||||
kwargs.update(**current_json_schema_extra)
|
||||
kwargs["deprecated"] = deprecated
|
||||
|
||||
if serialization_alias in (_Unset, None) and isinstance(alias, str):
|
||||
serialization_alias = alias
|
||||
if validation_alias in (_Unset, None):
|
||||
validation_alias = alias
|
||||
kwargs.update(
|
||||
{
|
||||
"annotation": annotation,
|
||||
"alias_priority": alias_priority,
|
||||
"validation_alias": validation_alias,
|
||||
"serialization_alias": serialization_alias,
|
||||
"strict": strict,
|
||||
"json_schema_extra": current_json_schema_extra,
|
||||
}
|
||||
)
|
||||
kwargs["pattern"] = pattern or regex
|
||||
|
||||
use_kwargs = {k: v for k, v in kwargs.items() if v is not _Unset}
|
||||
|
||||
super().__init__(**use_kwargs)
|
||||
@@ -571,29 +564,22 @@ class Body(FieldInfo): # type: ignore[misc]
|
||||
stacklevel=4,
|
||||
)
|
||||
current_json_schema_extra = json_schema_extra or extra
|
||||
if PYDANTIC_VERSION_MINOR_TUPLE < (2, 7):
|
||||
self.deprecated = deprecated
|
||||
else:
|
||||
kwargs["deprecated"] = deprecated
|
||||
if PYDANTIC_V2:
|
||||
if serialization_alias in (_Unset, None) and isinstance(alias, str):
|
||||
serialization_alias = alias
|
||||
if validation_alias in (_Unset, None):
|
||||
validation_alias = alias
|
||||
kwargs.update(
|
||||
{
|
||||
"annotation": annotation,
|
||||
"alias_priority": alias_priority,
|
||||
"validation_alias": validation_alias,
|
||||
"serialization_alias": serialization_alias,
|
||||
"strict": strict,
|
||||
"json_schema_extra": current_json_schema_extra,
|
||||
}
|
||||
)
|
||||
kwargs["pattern"] = pattern or regex
|
||||
else:
|
||||
kwargs["regex"] = pattern or regex
|
||||
kwargs.update(**current_json_schema_extra)
|
||||
kwargs["deprecated"] = deprecated
|
||||
if serialization_alias in (_Unset, None) and isinstance(alias, str):
|
||||
serialization_alias = alias
|
||||
if validation_alias in (_Unset, None):
|
||||
validation_alias = alias
|
||||
kwargs.update(
|
||||
{
|
||||
"annotation": annotation,
|
||||
"alias_priority": alias_priority,
|
||||
"validation_alias": validation_alias,
|
||||
"serialization_alias": serialization_alias,
|
||||
"strict": strict,
|
||||
"json_schema_extra": current_json_schema_extra,
|
||||
}
|
||||
)
|
||||
kwargs["pattern"] = pattern or regex
|
||||
|
||||
use_kwargs = {k: v for k, v in kwargs.items() if v is not _Unset}
|
||||
|
||||
|
||||
@@ -1,4 +1,3 @@
|
||||
import dataclasses
|
||||
import email.message
|
||||
import functools
|
||||
import inspect
|
||||
@@ -30,6 +29,7 @@ from fastapi._compat import (
|
||||
_model_dump,
|
||||
_normalize_errors,
|
||||
lenient_issubclass,
|
||||
may_v1,
|
||||
)
|
||||
from fastapi.datastructures import Default, DefaultPlaceholder
|
||||
from fastapi.dependencies.models import Dependant
|
||||
@@ -58,7 +58,6 @@ from fastapi.utils import (
|
||||
get_value_or_default,
|
||||
is_body_allowed_for_status_code,
|
||||
)
|
||||
from pydantic import BaseModel
|
||||
from starlette import routing
|
||||
from starlette._exception_handler import wrap_app_handling_exceptions
|
||||
from starlette._utils import is_async_callable
|
||||
@@ -153,8 +152,8 @@ def _prepare_response_content(
|
||||
exclude_defaults: bool = False,
|
||||
exclude_none: bool = False,
|
||||
) -> Any:
|
||||
if isinstance(res, BaseModel):
|
||||
read_with_orm_mode = getattr(_get_model_config(res), "read_with_orm_mode", None)
|
||||
if isinstance(res, may_v1.BaseModel):
|
||||
read_with_orm_mode = getattr(_get_model_config(res), "read_with_orm_mode", None) # type: ignore[arg-type]
|
||||
if read_with_orm_mode:
|
||||
# Let from_orm extract the data from this model instead of converting
|
||||
# it now to a dict.
|
||||
@@ -162,7 +161,7 @@ def _prepare_response_content(
|
||||
# access instead of dict iteration, e.g. lazy relationships.
|
||||
return res
|
||||
return _model_dump(
|
||||
res,
|
||||
res, # type: ignore[arg-type]
|
||||
by_alias=True,
|
||||
exclude_unset=exclude_unset,
|
||||
exclude_defaults=exclude_defaults,
|
||||
@@ -188,9 +187,6 @@ def _prepare_response_content(
|
||||
)
|
||||
for k, v in res.items()
|
||||
}
|
||||
elif dataclasses.is_dataclass(res):
|
||||
assert not isinstance(res, type)
|
||||
return dataclasses.asdict(res)
|
||||
return res
|
||||
|
||||
|
||||
|
||||
@@ -6,12 +6,11 @@ from fastapi.params import ParamTypes
|
||||
from typing_extensions import deprecated
|
||||
|
||||
from ._compat.may_v1 import FieldInfo, Undefined
|
||||
from ._compat.shared import PYDANTIC_VERSION_MINOR_TUPLE
|
||||
|
||||
_Unset: Any = Undefined
|
||||
|
||||
|
||||
class Param(FieldInfo): # type: ignore[misc]
|
||||
class Param(FieldInfo):
|
||||
in_: ParamTypes
|
||||
|
||||
def __init__(
|
||||
@@ -98,10 +97,7 @@ class Param(FieldInfo): # type: ignore[misc]
|
||||
stacklevel=4,
|
||||
)
|
||||
current_json_schema_extra = json_schema_extra or extra
|
||||
if PYDANTIC_VERSION_MINOR_TUPLE < (2, 7):
|
||||
self.deprecated = deprecated
|
||||
else:
|
||||
kwargs["deprecated"] = deprecated
|
||||
kwargs["deprecated"] = deprecated
|
||||
kwargs["regex"] = pattern or regex
|
||||
kwargs.update(**current_json_schema_extra)
|
||||
use_kwargs = {k: v for k, v in kwargs.items() if v is not _Unset}
|
||||
@@ -112,7 +108,7 @@ class Param(FieldInfo): # type: ignore[misc]
|
||||
return f"{self.__class__.__name__}({self.default})"
|
||||
|
||||
|
||||
class Path(Param): # type: ignore[misc]
|
||||
class Path(Param):
|
||||
in_ = ParamTypes.path
|
||||
|
||||
def __init__(
|
||||
@@ -198,7 +194,7 @@ class Path(Param): # type: ignore[misc]
|
||||
)
|
||||
|
||||
|
||||
class Query(Param): # type: ignore[misc]
|
||||
class Query(Param):
|
||||
in_ = ParamTypes.query
|
||||
|
||||
def __init__(
|
||||
@@ -282,7 +278,7 @@ class Query(Param): # type: ignore[misc]
|
||||
)
|
||||
|
||||
|
||||
class Header(Param): # type: ignore[misc]
|
||||
class Header(Param):
|
||||
in_ = ParamTypes.header
|
||||
|
||||
def __init__(
|
||||
@@ -368,7 +364,7 @@ class Header(Param): # type: ignore[misc]
|
||||
)
|
||||
|
||||
|
||||
class Cookie(Param): # type: ignore[misc]
|
||||
class Cookie(Param):
|
||||
in_ = ParamTypes.cookie
|
||||
|
||||
def __init__(
|
||||
@@ -452,7 +448,7 @@ class Cookie(Param): # type: ignore[misc]
|
||||
)
|
||||
|
||||
|
||||
class Body(FieldInfo): # type: ignore[misc]
|
||||
class Body(FieldInfo):
|
||||
def __init__(
|
||||
self,
|
||||
default: Any = Undefined,
|
||||
@@ -541,10 +537,7 @@ class Body(FieldInfo): # type: ignore[misc]
|
||||
stacklevel=4,
|
||||
)
|
||||
current_json_schema_extra = json_schema_extra or extra
|
||||
if PYDANTIC_VERSION_MINOR_TUPLE < (2, 7):
|
||||
self.deprecated = deprecated
|
||||
else:
|
||||
kwargs["deprecated"] = deprecated
|
||||
kwargs["deprecated"] = deprecated
|
||||
kwargs["regex"] = pattern or regex
|
||||
kwargs.update(**current_json_schema_extra)
|
||||
|
||||
@@ -556,7 +549,7 @@ class Body(FieldInfo): # type: ignore[misc]
|
||||
return f"{self.__class__.__name__}({self.default})"
|
||||
|
||||
|
||||
class Form(Body): # type: ignore[misc]
|
||||
class Form(Body):
|
||||
def __init__(
|
||||
self,
|
||||
default: Any = Undefined,
|
||||
@@ -640,7 +633,7 @@ class Form(Body): # type: ignore[misc]
|
||||
)
|
||||
|
||||
|
||||
class File(Form): # type: ignore[misc]
|
||||
class File(Form):
|
||||
def __init__(
|
||||
self,
|
||||
default: Any = Undefined,
|
||||
|
||||
@@ -1,7 +1,6 @@
|
||||
import re
|
||||
import warnings
|
||||
from collections.abc import MutableMapping
|
||||
from dataclasses import is_dataclass
|
||||
from typing import (
|
||||
TYPE_CHECKING,
|
||||
Any,
|
||||
@@ -13,7 +12,6 @@ from weakref import WeakKeyDictionary
|
||||
|
||||
import fastapi
|
||||
from fastapi._compat import (
|
||||
PYDANTIC_V2,
|
||||
BaseConfig,
|
||||
ModelField,
|
||||
PydanticSchemaGenerationError,
|
||||
@@ -29,6 +27,8 @@ from pydantic import BaseModel
|
||||
from pydantic.fields import FieldInfo
|
||||
from typing_extensions import Literal
|
||||
|
||||
from ._compat import v2
|
||||
|
||||
if TYPE_CHECKING: # pragma: nocover
|
||||
from .routing import APIRoute
|
||||
|
||||
@@ -105,14 +105,12 @@ def create_model_field(
|
||||
from fastapi._compat import v1
|
||||
|
||||
try:
|
||||
return v1.ModelField(**v1_kwargs) # type: ignore[no-any-return]
|
||||
return v1.ModelField(**v1_kwargs) # type: ignore[return-value]
|
||||
except RuntimeError:
|
||||
raise fastapi.exceptions.FastAPIError(
|
||||
_invalid_args_message.format(type_=type_)
|
||||
) from None
|
||||
elif PYDANTIC_V2:
|
||||
from ._compat import v2
|
||||
|
||||
else:
|
||||
field_info = field_info or FieldInfo(
|
||||
annotation=type_, default=default, alias=alias
|
||||
)
|
||||
@@ -128,7 +126,7 @@ def create_model_field(
|
||||
from fastapi._compat import v1
|
||||
|
||||
try:
|
||||
return v1.ModelField(**v1_kwargs) # type: ignore[no-any-return]
|
||||
return v1.ModelField(**v1_kwargs)
|
||||
except RuntimeError:
|
||||
raise fastapi.exceptions.FastAPIError(
|
||||
_invalid_args_message.format(type_=type_)
|
||||
@@ -140,11 +138,8 @@ def create_cloned_field(
|
||||
*,
|
||||
cloned_types: Optional[MutableMapping[type[BaseModel], type[BaseModel]]] = None,
|
||||
) -> ModelField:
|
||||
if PYDANTIC_V2:
|
||||
from ._compat import v2
|
||||
|
||||
if isinstance(field, v2.ModelField):
|
||||
return field
|
||||
if isinstance(field, v2.ModelField):
|
||||
return field
|
||||
|
||||
from fastapi._compat import v1
|
||||
|
||||
@@ -154,8 +149,6 @@ def create_cloned_field(
|
||||
cloned_types = _CLONED_TYPES_CACHE
|
||||
|
||||
original_type = field.type_
|
||||
if is_dataclass(original_type) and hasattr(original_type, "__pydantic_model__"):
|
||||
original_type = original_type.__pydantic_model__
|
||||
use_type = original_type
|
||||
if lenient_issubclass(original_type, v1.BaseModel):
|
||||
original_type = cast(type[v1.BaseModel], original_type)
|
||||
|
||||
@@ -30,7 +30,6 @@ classifiers = [
|
||||
"Framework :: AsyncIO",
|
||||
"Framework :: FastAPI",
|
||||
"Framework :: Pydantic",
|
||||
"Framework :: Pydantic :: 1",
|
||||
"Framework :: Pydantic :: 2",
|
||||
"Intended Audience :: Developers",
|
||||
"Programming Language :: Python :: 3 :: Only",
|
||||
@@ -45,7 +44,7 @@ classifiers = [
|
||||
]
|
||||
dependencies = [
|
||||
"starlette>=0.40.0,<0.51.0",
|
||||
"pydantic>=1.7.4,!=1.8,!=1.8.1,!=2.0.0,!=2.0.1,!=2.1.0,<3.0.0",
|
||||
"pydantic>=2.7.0",
|
||||
"typing-extensions>=4.8.0",
|
||||
"annotated-doc>=0.0.2",
|
||||
]
|
||||
@@ -71,11 +70,10 @@ standard = [
|
||||
"email-validator >=2.0.0",
|
||||
# Uvicorn with uvloop
|
||||
"uvicorn[standard] >=0.12.0",
|
||||
# TODO: this should be part of some pydantic optional extra dependencies
|
||||
# # Settings management
|
||||
# "pydantic-settings >=2.0.0",
|
||||
"pydantic-settings >=2.0.0",
|
||||
# # Extra Pydantic data types
|
||||
# "pydantic-extra-types >=2.0.0",
|
||||
"pydantic-extra-types >=2.0.0",
|
||||
]
|
||||
|
||||
standard-no-fastapi-cloud-cli = [
|
||||
@@ -90,11 +88,10 @@ standard-no-fastapi-cloud-cli = [
|
||||
"email-validator >=2.0.0",
|
||||
# Uvicorn with uvloop
|
||||
"uvicorn[standard] >=0.12.0",
|
||||
# TODO: this should be part of some pydantic optional extra dependencies
|
||||
# # Settings management
|
||||
# "pydantic-settings >=2.0.0",
|
||||
"pydantic-settings >=2.0.0",
|
||||
# # Extra Pydantic data types
|
||||
# "pydantic-extra-types >=2.0.0",
|
||||
"pydantic-extra-types >=2.0.0",
|
||||
]
|
||||
|
||||
all = [
|
||||
@@ -183,8 +180,6 @@ filterwarnings = [
|
||||
# Ref: https://github.com/python-trio/trio/pull/3054
|
||||
# Remove once there's a new version of Trio
|
||||
'ignore:The `hash` argument is deprecated*:DeprecationWarning:trio',
|
||||
# Ignore flaky coverage / pytest warning about SQLite connection, only applies to Python 3.13 and Pydantic v1
|
||||
'ignore:Exception ignored in. <sqlite3\.Connection object.*:pytest.PytestUnraisableExceptionWarning',
|
||||
]
|
||||
|
||||
[tool.coverage.run]
|
||||
|
||||
@@ -2,18 +2,12 @@ from typing import Union
|
||||
|
||||
from dirty_equals import IsDict
|
||||
from fastapi import FastAPI
|
||||
from fastapi._compat import PYDANTIC_V2
|
||||
from fastapi.testclient import TestClient
|
||||
from pydantic import BaseModel, ConfigDict
|
||||
|
||||
|
||||
class FooBaseModel(BaseModel):
|
||||
if PYDANTIC_V2:
|
||||
model_config = ConfigDict(extra="forbid")
|
||||
else:
|
||||
|
||||
class Config:
|
||||
extra = "forbid"
|
||||
model_config = ConfigDict(extra="forbid")
|
||||
|
||||
|
||||
class Foo(FooBaseModel):
|
||||
|
||||
@@ -4,7 +4,6 @@ import pytest
|
||||
from fastapi import Depends, FastAPI, Path
|
||||
from fastapi.param_functions import Query
|
||||
from fastapi.testclient import TestClient
|
||||
from fastapi.utils import PYDANTIC_V2
|
||||
|
||||
app = FastAPI()
|
||||
|
||||
@@ -71,6 +70,5 @@ def test_multiple_annotations():
|
||||
response = client.get("/multi-query", params={"foo": "123"})
|
||||
assert response.status_code == 422
|
||||
|
||||
if PYDANTIC_V2:
|
||||
response = client.get("/multi-query", params={"foo": "1"})
|
||||
assert response.status_code == 422
|
||||
response = client.get("/multi-query", params={"foo": "1"})
|
||||
assert response.status_code == 422
|
||||
|
||||
@@ -5,8 +5,6 @@ from fastapi import FastAPI
|
||||
from fastapi.testclient import TestClient
|
||||
from inline_snapshot import snapshot
|
||||
|
||||
from .utils import needs_pydanticv2
|
||||
|
||||
|
||||
@pytest.fixture(name="client")
|
||||
def get_client():
|
||||
@@ -42,13 +40,11 @@ def get_client():
|
||||
return client
|
||||
|
||||
|
||||
@needs_pydanticv2
|
||||
def test_get(client: TestClient):
|
||||
response = client.get("/")
|
||||
assert response.json() == {"custom_field": [1.0, 2.0, 3.0]}
|
||||
|
||||
|
||||
@needs_pydanticv2
|
||||
def test_typeadapter():
|
||||
# This test is only to confirm that Pydantic alone is working as expected
|
||||
from pydantic import (
|
||||
@@ -93,7 +89,6 @@ def test_typeadapter():
|
||||
)
|
||||
|
||||
|
||||
@needs_pydanticv2
|
||||
def test_openapi_schema(client: TestClient):
|
||||
response = client.get("openapi.json")
|
||||
assert response.json() == snapshot(
|
||||
|
||||
@@ -14,10 +14,9 @@ from fastapi.testclient import TestClient
|
||||
from pydantic import BaseModel, ConfigDict
|
||||
from pydantic.fields import FieldInfo
|
||||
|
||||
from .utils import needs_py310, needs_py_lt_314, needs_pydanticv2
|
||||
from .utils import needs_py310, needs_py_lt_314
|
||||
|
||||
|
||||
@needs_pydanticv2
|
||||
def test_model_field_default_required():
|
||||
from fastapi._compat import v2
|
||||
|
||||
@@ -46,7 +45,6 @@ def test_is_model_field():
|
||||
assert not _is_model_field(str)
|
||||
|
||||
|
||||
@needs_pydanticv2
|
||||
def test_get_model_config():
|
||||
# For coverage in Pydantic v2
|
||||
class Foo(BaseModel):
|
||||
@@ -75,7 +73,6 @@ def test_complex():
|
||||
assert response2.json() == [1, 2]
|
||||
|
||||
|
||||
@needs_pydanticv2
|
||||
def test_propagates_pydantic2_model_config():
|
||||
app = FastAPI()
|
||||
|
||||
@@ -136,7 +133,6 @@ def test_is_uploadfile_sequence_annotation():
|
||||
assert is_uploadfile_sequence_annotation(Union[list[str], list[UploadFile]])
|
||||
|
||||
|
||||
@needs_pydanticv2
|
||||
def test_serialize_sequence_value_with_optional_list():
|
||||
"""Test that serialize_sequence_value handles optional lists correctly."""
|
||||
from fastapi._compat import v2
|
||||
@@ -148,7 +144,6 @@ def test_serialize_sequence_value_with_optional_list():
|
||||
assert isinstance(result, list)
|
||||
|
||||
|
||||
@needs_pydanticv2
|
||||
@needs_py310
|
||||
def test_serialize_sequence_value_with_optional_list_pipe_union():
|
||||
"""Test that serialize_sequence_value handles optional lists correctly (with new syntax)."""
|
||||
@@ -161,7 +156,6 @@ def test_serialize_sequence_value_with_optional_list_pipe_union():
|
||||
assert isinstance(result, list)
|
||||
|
||||
|
||||
@needs_pydanticv2
|
||||
def test_serialize_sequence_value_with_none_first_in_union():
|
||||
"""Test that serialize_sequence_value handles Union[None, List[...]] correctly."""
|
||||
from fastapi._compat import v2
|
||||
|
||||
@@ -3,7 +3,7 @@ from typing import Optional
|
||||
|
||||
import pytest
|
||||
|
||||
from tests.utils import pydantic_snapshot, skip_module_if_py_gte_314
|
||||
from tests.utils import skip_module_if_py_gte_314
|
||||
|
||||
if sys.version_info >= (3, 14):
|
||||
skip_module_if_py_gte_314()
|
||||
@@ -588,23 +588,14 @@ def test_openapi_schema():
|
||||
"required": True,
|
||||
"content": {
|
||||
"application/json": {
|
||||
"schema": pydantic_snapshot(
|
||||
v1=snapshot(
|
||||
"schema": {
|
||||
"title": "Body",
|
||||
"allOf": [
|
||||
{
|
||||
"$ref": "#/components/schemas/Body_update_item_items__item_id__put"
|
||||
}
|
||||
),
|
||||
v2=snapshot(
|
||||
{
|
||||
"title": "Body",
|
||||
"allOf": [
|
||||
{
|
||||
"$ref": "#/components/schemas/Body_update_item_items__item_id__put"
|
||||
}
|
||||
],
|
||||
}
|
||||
),
|
||||
),
|
||||
],
|
||||
}
|
||||
}
|
||||
},
|
||||
},
|
||||
@@ -809,23 +800,14 @@ def test_openapi_schema():
|
||||
"requestBody": {
|
||||
"content": {
|
||||
"application/json": {
|
||||
"schema": pydantic_snapshot(
|
||||
v1=snapshot(
|
||||
"schema": {
|
||||
"allOf": [
|
||||
{
|
||||
"$ref": "#/components/schemas/Body_create_item_embed_items_embed__post"
|
||||
}
|
||||
),
|
||||
v2=snapshot(
|
||||
{
|
||||
"allOf": [
|
||||
{
|
||||
"$ref": "#/components/schemas/Body_create_item_embed_items_embed__post"
|
||||
}
|
||||
],
|
||||
"title": "Body",
|
||||
}
|
||||
),
|
||||
),
|
||||
],
|
||||
"title": "Body",
|
||||
}
|
||||
}
|
||||
},
|
||||
"required": True,
|
||||
@@ -855,23 +837,14 @@ def test_openapi_schema():
|
||||
"requestBody": {
|
||||
"content": {
|
||||
"application/x-www-form-urlencoded": {
|
||||
"schema": pydantic_snapshot(
|
||||
v1=snapshot(
|
||||
"schema": {
|
||||
"allOf": [
|
||||
{
|
||||
"$ref": "#/components/schemas/Body_submit_form_form_data__post"
|
||||
}
|
||||
),
|
||||
v2=snapshot(
|
||||
{
|
||||
"allOf": [
|
||||
{
|
||||
"$ref": "#/components/schemas/Body_submit_form_form_data__post"
|
||||
}
|
||||
],
|
||||
"title": "Body",
|
||||
}
|
||||
),
|
||||
),
|
||||
],
|
||||
"title": "Body",
|
||||
}
|
||||
}
|
||||
},
|
||||
"required": True,
|
||||
@@ -901,23 +874,14 @@ def test_openapi_schema():
|
||||
"requestBody": {
|
||||
"content": {
|
||||
"multipart/form-data": {
|
||||
"schema": pydantic_snapshot(
|
||||
v1=snapshot(
|
||||
"schema": {
|
||||
"allOf": [
|
||||
{
|
||||
"$ref": "#/components/schemas/Body_upload_file_upload__post"
|
||||
}
|
||||
),
|
||||
v2=snapshot(
|
||||
{
|
||||
"allOf": [
|
||||
{
|
||||
"$ref": "#/components/schemas/Body_upload_file_upload__post"
|
||||
}
|
||||
],
|
||||
"title": "Body",
|
||||
}
|
||||
),
|
||||
),
|
||||
],
|
||||
"title": "Body",
|
||||
},
|
||||
}
|
||||
},
|
||||
"required": True,
|
||||
@@ -947,23 +911,14 @@ def test_openapi_schema():
|
||||
"requestBody": {
|
||||
"content": {
|
||||
"multipart/form-data": {
|
||||
"schema": pydantic_snapshot(
|
||||
v1=snapshot(
|
||||
"schema": {
|
||||
"allOf": [
|
||||
{
|
||||
"$ref": "#/components/schemas/Body_upload_multiple_files_upload_multiple__post"
|
||||
}
|
||||
),
|
||||
v2=snapshot(
|
||||
{
|
||||
"allOf": [
|
||||
{
|
||||
"$ref": "#/components/schemas/Body_upload_multiple_files_upload_multiple__post"
|
||||
}
|
||||
],
|
||||
"title": "Body",
|
||||
}
|
||||
),
|
||||
),
|
||||
],
|
||||
"title": "Body",
|
||||
}
|
||||
}
|
||||
},
|
||||
"required": True,
|
||||
@@ -990,21 +945,12 @@ def test_openapi_schema():
|
||||
"components": {
|
||||
"schemas": {
|
||||
"Body_create_item_embed_items_embed__post": {
|
||||
"properties": pydantic_snapshot(
|
||||
v1=snapshot(
|
||||
{"item": {"$ref": "#/components/schemas/Item"}}
|
||||
),
|
||||
v2=snapshot(
|
||||
{
|
||||
"item": {
|
||||
"allOf": [
|
||||
{"$ref": "#/components/schemas/Item"}
|
||||
],
|
||||
"title": "Item",
|
||||
}
|
||||
}
|
||||
),
|
||||
),
|
||||
"properties": {
|
||||
"item": {
|
||||
"allOf": [{"$ref": "#/components/schemas/Item"}],
|
||||
"title": "Item",
|
||||
}
|
||||
},
|
||||
"type": "object",
|
||||
"required": ["item"],
|
||||
"title": "Body_create_item_embed_items_embed__post",
|
||||
@@ -1030,17 +976,10 @@ def test_openapi_schema():
|
||||
},
|
||||
"Body_update_item_items__item_id__put": {
|
||||
"properties": {
|
||||
"item": pydantic_snapshot(
|
||||
v1=snapshot({"$ref": "#/components/schemas/Item"}),
|
||||
v2=snapshot(
|
||||
{
|
||||
"allOf": [
|
||||
{"$ref": "#/components/schemas/Item"}
|
||||
],
|
||||
"title": "Item",
|
||||
}
|
||||
),
|
||||
),
|
||||
"item": {
|
||||
"allOf": [{"$ref": "#/components/schemas/Item"}],
|
||||
"title": "Item",
|
||||
},
|
||||
"importance": {
|
||||
"type": "integer",
|
||||
"maximum": 10.0,
|
||||
|
||||
@@ -2,8 +2,6 @@ import pytest
|
||||
from fastapi import FastAPI
|
||||
from fastapi.testclient import TestClient
|
||||
|
||||
from .utils import needs_pydanticv2
|
||||
|
||||
|
||||
@pytest.fixture(name="client")
|
||||
def get_client(request):
|
||||
@@ -35,7 +33,6 @@ def get_client(request):
|
||||
|
||||
@pytest.mark.parametrize("client", [True, False], indirect=True)
|
||||
@pytest.mark.parametrize("path", ["/", "/responses"])
|
||||
@needs_pydanticv2
|
||||
def test_get(client: TestClient, path: str):
|
||||
response = client.get(path)
|
||||
assert response.status_code == 200, response.text
|
||||
@@ -43,7 +40,6 @@ def test_get(client: TestClient, path: str):
|
||||
|
||||
|
||||
@pytest.mark.parametrize("client", [True, False], indirect=True)
|
||||
@needs_pydanticv2
|
||||
def test_openapi_schema(client: TestClient):
|
||||
response = client.get("/openapi.json")
|
||||
assert response.status_code == 200, response.text
|
||||
|
||||
@@ -1,12 +1,8 @@
|
||||
from typing import Annotated, Optional
|
||||
|
||||
from fastapi import FastAPI
|
||||
from fastapi._compat import PYDANTIC_V2
|
||||
from fastapi.testclient import TestClient
|
||||
from pydantic import BaseModel
|
||||
|
||||
if PYDANTIC_V2:
|
||||
from pydantic import WithJsonSchema
|
||||
from pydantic import BaseModel, WithJsonSchema
|
||||
|
||||
app = FastAPI()
|
||||
|
||||
@@ -14,23 +10,15 @@ app = FastAPI()
|
||||
class Item(BaseModel):
|
||||
name: str
|
||||
|
||||
if PYDANTIC_V2:
|
||||
description: Annotated[
|
||||
Optional[str], WithJsonSchema({"type": ["string", "null"]})
|
||||
] = None
|
||||
description: Annotated[
|
||||
Optional[str], WithJsonSchema({"type": ["string", "null"]})
|
||||
] = None
|
||||
|
||||
model_config = {
|
||||
"json_schema_extra": {
|
||||
"x-something-internal": {"level": 4},
|
||||
}
|
||||
model_config = {
|
||||
"json_schema_extra": {
|
||||
"x-something-internal": {"level": 4},
|
||||
}
|
||||
else:
|
||||
description: Optional[str] = None # type: ignore[no-redef]
|
||||
|
||||
class Config:
|
||||
schema_extra = {
|
||||
"x-something-internal": {"level": 4},
|
||||
}
|
||||
}
|
||||
|
||||
|
||||
@app.get("/foo", response_model=Item)
|
||||
@@ -55,7 +43,7 @@ item_schema = {
|
||||
},
|
||||
"description": {
|
||||
"title": "Description",
|
||||
"type": ["string", "null"] if PYDANTIC_V2 else "string",
|
||||
"type": ["string", "null"],
|
||||
},
|
||||
},
|
||||
}
|
||||
|
||||
@@ -7,12 +7,6 @@ from fastapi.datastructures import Default
|
||||
from fastapi.testclient import TestClient
|
||||
|
||||
|
||||
# TODO: remove when deprecating Pydantic v1
|
||||
def test_upload_file_invalid():
|
||||
with pytest.raises(ValueError):
|
||||
UploadFile.validate("not a Starlette UploadFile")
|
||||
|
||||
|
||||
def test_upload_file_invalid_pydantic_v2():
|
||||
with pytest.raises(ValueError):
|
||||
UploadFile._validate("not a Starlette UploadFile", {})
|
||||
|
||||
@@ -4,10 +4,9 @@ from fastapi import FastAPI
|
||||
from fastapi.testclient import TestClient
|
||||
from pydantic import BaseModel
|
||||
|
||||
from .utils import needs_pydanticv1, needs_pydanticv2
|
||||
from .utils import needs_pydanticv1
|
||||
|
||||
|
||||
@needs_pydanticv2
|
||||
def test_pydanticv2():
|
||||
from pydantic import field_serializer
|
||||
|
||||
@@ -34,7 +33,9 @@ def test_pydanticv2():
|
||||
# TODO: remove when deprecating Pydantic v1
|
||||
@needs_pydanticv1
|
||||
def test_pydanticv1():
|
||||
class ModelWithDatetimeField(BaseModel):
|
||||
from pydantic import v1
|
||||
|
||||
class ModelWithDatetimeField(v1.BaseModel):
|
||||
dt_field: datetime
|
||||
|
||||
class Config:
|
||||
|
||||
@@ -1,7 +1,7 @@
|
||||
from typing import Optional
|
||||
|
||||
from fastapi import Depends, FastAPI
|
||||
from pydantic import BaseModel, validator
|
||||
from pydantic.v1 import BaseModel, validator
|
||||
|
||||
app = FastAPI()
|
||||
|
||||
@@ -18,6 +18,7 @@ class ModelA(BaseModel):
|
||||
name: str
|
||||
description: Optional[str] = None
|
||||
model_b: ModelB
|
||||
tags: dict[str, str] = {}
|
||||
|
||||
@validator("name")
|
||||
def lower_username(cls, name: str, values):
|
||||
@@ -32,4 +33,9 @@ async def get_model_c() -> ModelC:
|
||||
|
||||
@app.get("/model/{name}", response_model=ModelA)
|
||||
async def get_model_a(name: str, model_c=Depends(get_model_c)):
|
||||
return {"name": name, "description": "model-a-desc", "model_b": model_c}
|
||||
return {
|
||||
"name": name,
|
||||
"description": "model-a-desc",
|
||||
"model_b": model_c,
|
||||
"tags": {"key1": "value1", "key2": "value2"},
|
||||
}
|
||||
|
||||
@@ -1,6 +1,7 @@
|
||||
import pytest
|
||||
from fastapi.exceptions import ResponseValidationError
|
||||
from fastapi.testclient import TestClient
|
||||
from inline_snapshot import snapshot
|
||||
|
||||
from ..utils import needs_pydanticv1
|
||||
|
||||
@@ -21,6 +22,7 @@ def test_filter_sub_model(client: TestClient):
|
||||
"name": "modelA",
|
||||
"description": "model-a-desc",
|
||||
"model_b": {"username": "test-user"},
|
||||
"tags": {"key1": "value1", "key2": "value2"},
|
||||
}
|
||||
|
||||
|
||||
@@ -41,90 +43,104 @@ def test_validator_is_cloned(client: TestClient):
|
||||
def test_openapi_schema(client: TestClient):
|
||||
response = client.get("/openapi.json")
|
||||
assert response.status_code == 200, response.text
|
||||
assert response.json() == {
|
||||
"openapi": "3.1.0",
|
||||
"info": {"title": "FastAPI", "version": "0.1.0"},
|
||||
"paths": {
|
||||
"/model/{name}": {
|
||||
"get": {
|
||||
"summary": "Get Model A",
|
||||
"operationId": "get_model_a_model__name__get",
|
||||
"parameters": [
|
||||
{
|
||||
"required": True,
|
||||
"schema": {"title": "Name", "type": "string"},
|
||||
"name": "name",
|
||||
"in": "path",
|
||||
}
|
||||
],
|
||||
"responses": {
|
||||
"200": {
|
||||
"description": "Successful Response",
|
||||
"content": {
|
||||
"application/json": {
|
||||
"schema": {"$ref": "#/components/schemas/ModelA"}
|
||||
}
|
||||
assert response.json() == snapshot(
|
||||
{
|
||||
"openapi": "3.1.0",
|
||||
"info": {"title": "FastAPI", "version": "0.1.0"},
|
||||
"paths": {
|
||||
"/model/{name}": {
|
||||
"get": {
|
||||
"summary": "Get Model A",
|
||||
"operationId": "get_model_a_model__name__get",
|
||||
"parameters": [
|
||||
{
|
||||
"required": True,
|
||||
"schema": {"title": "Name", "type": "string"},
|
||||
"name": "name",
|
||||
"in": "path",
|
||||
}
|
||||
],
|
||||
"responses": {
|
||||
"200": {
|
||||
"description": "Successful Response",
|
||||
"content": {
|
||||
"application/json": {
|
||||
"schema": {
|
||||
"$ref": "#/components/schemas/ModelA"
|
||||
}
|
||||
}
|
||||
},
|
||||
},
|
||||
"422": {
|
||||
"description": "Validation Error",
|
||||
"content": {
|
||||
"application/json": {
|
||||
"schema": {
|
||||
"$ref": "#/components/schemas/HTTPValidationError"
|
||||
}
|
||||
}
|
||||
},
|
||||
},
|
||||
},
|
||||
"422": {
|
||||
"description": "Validation Error",
|
||||
"content": {
|
||||
"application/json": {
|
||||
"schema": {
|
||||
"$ref": "#/components/schemas/HTTPValidationError"
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
},
|
||||
"components": {
|
||||
"schemas": {
|
||||
"HTTPValidationError": {
|
||||
"title": "HTTPValidationError",
|
||||
"type": "object",
|
||||
"properties": {
|
||||
"detail": {
|
||||
"title": "Detail",
|
||||
"type": "array",
|
||||
"items": {
|
||||
"$ref": "#/components/schemas/ValidationError"
|
||||
},
|
||||
}
|
||||
},
|
||||
},
|
||||
"ModelA": {
|
||||
"title": "ModelA",
|
||||
"required": ["name", "model_b"],
|
||||
"type": "object",
|
||||
"properties": {
|
||||
"name": {"title": "Name", "type": "string"},
|
||||
"description": {"title": "Description", "type": "string"},
|
||||
"model_b": {"$ref": "#/components/schemas/ModelB"},
|
||||
"tags": {
|
||||
"additionalProperties": {"type": "string"},
|
||||
"type": "object",
|
||||
"title": "Tags",
|
||||
"default": {},
|
||||
},
|
||||
},
|
||||
},
|
||||
"ModelB": {
|
||||
"title": "ModelB",
|
||||
"required": ["username"],
|
||||
"type": "object",
|
||||
"properties": {
|
||||
"username": {"title": "Username", "type": "string"}
|
||||
},
|
||||
},
|
||||
"ValidationError": {
|
||||
"title": "ValidationError",
|
||||
"required": ["loc", "msg", "type"],
|
||||
"type": "object",
|
||||
"properties": {
|
||||
"loc": {
|
||||
"title": "Location",
|
||||
"type": "array",
|
||||
"items": {
|
||||
"anyOf": [{"type": "string"}, {"type": "integer"}]
|
||||
},
|
||||
},
|
||||
"msg": {"title": "Message", "type": "string"},
|
||||
"type": {"title": "Error Type", "type": "string"},
|
||||
},
|
||||
},
|
||||
}
|
||||
}
|
||||
},
|
||||
"components": {
|
||||
"schemas": {
|
||||
"HTTPValidationError": {
|
||||
"title": "HTTPValidationError",
|
||||
"type": "object",
|
||||
"properties": {
|
||||
"detail": {
|
||||
"title": "Detail",
|
||||
"type": "array",
|
||||
"items": {"$ref": "#/components/schemas/ValidationError"},
|
||||
}
|
||||
},
|
||||
},
|
||||
"ModelA": {
|
||||
"title": "ModelA",
|
||||
"required": ["name", "model_b"],
|
||||
"type": "object",
|
||||
"properties": {
|
||||
"name": {"title": "Name", "type": "string"},
|
||||
"description": {"title": "Description", "type": "string"},
|
||||
"model_b": {"$ref": "#/components/schemas/ModelB"},
|
||||
},
|
||||
},
|
||||
"ModelB": {
|
||||
"title": "ModelB",
|
||||
"required": ["username"],
|
||||
"type": "object",
|
||||
"properties": {"username": {"title": "Username", "type": "string"}},
|
||||
},
|
||||
"ValidationError": {
|
||||
"title": "ValidationError",
|
||||
"required": ["loc", "msg", "type"],
|
||||
"type": "object",
|
||||
"properties": {
|
||||
"loc": {
|
||||
"title": "Location",
|
||||
"type": "array",
|
||||
"items": {
|
||||
"anyOf": [{"type": "string"}, {"type": "integer"}]
|
||||
},
|
||||
},
|
||||
"msg": {"title": "Message", "type": "string"},
|
||||
"type": {"title": "Error Type", "type": "string"},
|
||||
},
|
||||
},
|
||||
}
|
||||
},
|
||||
}
|
||||
},
|
||||
}
|
||||
)
|
||||
|
||||
@@ -5,8 +5,7 @@ from dirty_equals import HasRepr, IsDict, IsOneOf
|
||||
from fastapi import Depends, FastAPI
|
||||
from fastapi.exceptions import ResponseValidationError
|
||||
from fastapi.testclient import TestClient
|
||||
|
||||
from .utils import needs_pydanticv2
|
||||
from inline_snapshot import snapshot
|
||||
|
||||
|
||||
@pytest.fixture(name="client")
|
||||
@@ -25,6 +24,7 @@ def get_client():
|
||||
name: str
|
||||
description: Optional[str] = None
|
||||
foo: ModelB
|
||||
tags: dict[str, str] = {}
|
||||
|
||||
@field_validator("name")
|
||||
def lower_username(cls, name: str, info: ValidationInfo):
|
||||
@@ -37,13 +37,17 @@ def get_client():
|
||||
|
||||
@app.get("/model/{name}", response_model=ModelA)
|
||||
async def get_model_a(name: str, model_c=Depends(get_model_c)):
|
||||
return {"name": name, "description": "model-a-desc", "foo": model_c}
|
||||
return {
|
||||
"name": name,
|
||||
"description": "model-a-desc",
|
||||
"foo": model_c,
|
||||
"tags": {"key1": "value1", "key2": "value2"},
|
||||
}
|
||||
|
||||
client = TestClient(app)
|
||||
return client
|
||||
|
||||
|
||||
@needs_pydanticv2
|
||||
def test_filter_sub_model(client: TestClient):
|
||||
response = client.get("/model/modelA")
|
||||
assert response.status_code == 200, response.text
|
||||
@@ -51,10 +55,10 @@ def test_filter_sub_model(client: TestClient):
|
||||
"name": "modelA",
|
||||
"description": "model-a-desc",
|
||||
"foo": {"username": "test-user"},
|
||||
"tags": {"key1": "value1", "key2": "value2"},
|
||||
}
|
||||
|
||||
|
||||
@needs_pydanticv2
|
||||
def test_validator_is_cloned(client: TestClient):
|
||||
with pytest.raises(ResponseValidationError) as err:
|
||||
client.get("/model/modelX")
|
||||
@@ -79,106 +83,119 @@ def test_validator_is_cloned(client: TestClient):
|
||||
]
|
||||
|
||||
|
||||
@needs_pydanticv2
|
||||
def test_openapi_schema(client: TestClient):
|
||||
response = client.get("/openapi.json")
|
||||
assert response.status_code == 200, response.text
|
||||
assert response.json() == {
|
||||
"openapi": "3.1.0",
|
||||
"info": {"title": "FastAPI", "version": "0.1.0"},
|
||||
"paths": {
|
||||
"/model/{name}": {
|
||||
"get": {
|
||||
"summary": "Get Model A",
|
||||
"operationId": "get_model_a_model__name__get",
|
||||
"parameters": [
|
||||
{
|
||||
"required": True,
|
||||
"schema": {"title": "Name", "type": "string"},
|
||||
"name": "name",
|
||||
"in": "path",
|
||||
}
|
||||
],
|
||||
"responses": {
|
||||
"200": {
|
||||
"description": "Successful Response",
|
||||
"content": {
|
||||
"application/json": {
|
||||
"schema": {"$ref": "#/components/schemas/ModelA"}
|
||||
}
|
||||
assert response.json() == snapshot(
|
||||
{
|
||||
"openapi": "3.1.0",
|
||||
"info": {"title": "FastAPI", "version": "0.1.0"},
|
||||
"paths": {
|
||||
"/model/{name}": {
|
||||
"get": {
|
||||
"summary": "Get Model A",
|
||||
"operationId": "get_model_a_model__name__get",
|
||||
"parameters": [
|
||||
{
|
||||
"required": True,
|
||||
"schema": {"title": "Name", "type": "string"},
|
||||
"name": "name",
|
||||
"in": "path",
|
||||
}
|
||||
],
|
||||
"responses": {
|
||||
"200": {
|
||||
"description": "Successful Response",
|
||||
"content": {
|
||||
"application/json": {
|
||||
"schema": {
|
||||
"$ref": "#/components/schemas/ModelA"
|
||||
}
|
||||
}
|
||||
},
|
||||
},
|
||||
"422": {
|
||||
"description": "Validation Error",
|
||||
"content": {
|
||||
"application/json": {
|
||||
"schema": {
|
||||
"$ref": "#/components/schemas/HTTPValidationError"
|
||||
}
|
||||
}
|
||||
},
|
||||
},
|
||||
},
|
||||
"422": {
|
||||
"description": "Validation Error",
|
||||
"content": {
|
||||
"application/json": {
|
||||
"schema": {
|
||||
"$ref": "#/components/schemas/HTTPValidationError"
|
||||
}
|
||||
}
|
||||
}
|
||||
},
|
||||
"components": {
|
||||
"schemas": {
|
||||
"HTTPValidationError": {
|
||||
"title": "HTTPValidationError",
|
||||
"type": "object",
|
||||
"properties": {
|
||||
"detail": {
|
||||
"title": "Detail",
|
||||
"type": "array",
|
||||
"items": {
|
||||
"$ref": "#/components/schemas/ValidationError"
|
||||
},
|
||||
}
|
||||
},
|
||||
},
|
||||
"ModelA": {
|
||||
"title": "ModelA",
|
||||
"required": IsOneOf(
|
||||
["name", "description", "foo"],
|
||||
# TODO remove when deprecating Pydantic v1
|
||||
["name", "foo"],
|
||||
),
|
||||
"type": "object",
|
||||
"properties": {
|
||||
"name": {"title": "Name", "type": "string"},
|
||||
"description": IsDict(
|
||||
{
|
||||
"title": "Description",
|
||||
"anyOf": [{"type": "string"}, {"type": "null"}],
|
||||
}
|
||||
)
|
||||
|
|
||||
# TODO remove when deprecating Pydantic v1
|
||||
IsDict({"title": "Description", "type": "string"}),
|
||||
"foo": {"$ref": "#/components/schemas/ModelB"},
|
||||
"tags": {
|
||||
"additionalProperties": {"type": "string"},
|
||||
"type": "object",
|
||||
"title": "Tags",
|
||||
"default": {},
|
||||
},
|
||||
},
|
||||
},
|
||||
"ModelB": {
|
||||
"title": "ModelB",
|
||||
"required": ["username"],
|
||||
"type": "object",
|
||||
"properties": {
|
||||
"username": {"title": "Username", "type": "string"}
|
||||
},
|
||||
},
|
||||
"ValidationError": {
|
||||
"title": "ValidationError",
|
||||
"required": ["loc", "msg", "type"],
|
||||
"type": "object",
|
||||
"properties": {
|
||||
"loc": {
|
||||
"title": "Location",
|
||||
"type": "array",
|
||||
"items": {
|
||||
"anyOf": [{"type": "string"}, {"type": "integer"}]
|
||||
},
|
||||
},
|
||||
"msg": {"title": "Message", "type": "string"},
|
||||
"type": {"title": "Error Type", "type": "string"},
|
||||
},
|
||||
},
|
||||
}
|
||||
}
|
||||
},
|
||||
"components": {
|
||||
"schemas": {
|
||||
"HTTPValidationError": {
|
||||
"title": "HTTPValidationError",
|
||||
"type": "object",
|
||||
"properties": {
|
||||
"detail": {
|
||||
"title": "Detail",
|
||||
"type": "array",
|
||||
"items": {"$ref": "#/components/schemas/ValidationError"},
|
||||
}
|
||||
},
|
||||
},
|
||||
"ModelA": {
|
||||
"title": "ModelA",
|
||||
"required": IsOneOf(
|
||||
["name", "description", "foo"],
|
||||
# TODO remove when deprecating Pydantic v1
|
||||
["name", "foo"],
|
||||
),
|
||||
"type": "object",
|
||||
"properties": {
|
||||
"name": {"title": "Name", "type": "string"},
|
||||
"description": IsDict(
|
||||
{
|
||||
"title": "Description",
|
||||
"anyOf": [{"type": "string"}, {"type": "null"}],
|
||||
}
|
||||
)
|
||||
|
|
||||
# TODO remove when deprecating Pydantic v1
|
||||
IsDict({"title": "Description", "type": "string"}),
|
||||
"foo": {"$ref": "#/components/schemas/ModelB"},
|
||||
},
|
||||
},
|
||||
"ModelB": {
|
||||
"title": "ModelB",
|
||||
"required": ["username"],
|
||||
"type": "object",
|
||||
"properties": {"username": {"title": "Username", "type": "string"}},
|
||||
},
|
||||
"ValidationError": {
|
||||
"title": "ValidationError",
|
||||
"required": ["loc", "msg", "type"],
|
||||
"type": "object",
|
||||
"properties": {
|
||||
"loc": {
|
||||
"title": "Location",
|
||||
"type": "array",
|
||||
"items": {
|
||||
"anyOf": [{"type": "string"}, {"type": "integer"}]
|
||||
},
|
||||
},
|
||||
"msg": {"title": "Message", "type": "string"},
|
||||
"type": {"title": "Error Type", "type": "string"},
|
||||
},
|
||||
},
|
||||
}
|
||||
},
|
||||
}
|
||||
},
|
||||
}
|
||||
)
|
||||
|
||||
@@ -2,7 +2,6 @@ from typing import Annotated, Optional
|
||||
|
||||
from dirty_equals import IsDict
|
||||
from fastapi import FastAPI, Form
|
||||
from fastapi._compat import PYDANTIC_V2
|
||||
from fastapi.testclient import TestClient
|
||||
from pydantic import BaseModel, Field
|
||||
|
||||
@@ -20,12 +19,7 @@ class FormModel(BaseModel):
|
||||
class FormModelExtraAllow(BaseModel):
|
||||
param: str
|
||||
|
||||
if PYDANTIC_V2:
|
||||
model_config = {"extra": "allow"}
|
||||
else:
|
||||
|
||||
class Config:
|
||||
extra = "allow"
|
||||
model_config = {"extra": "allow"}
|
||||
|
||||
|
||||
@app.post("/form/")
|
||||
|
||||
@@ -1,181 +1,169 @@
|
||||
from collections.abc import Iterator
|
||||
from typing import Any
|
||||
|
||||
import fastapi._compat
|
||||
import fastapi.openapi.utils
|
||||
import pydantic.schema
|
||||
import pytest
|
||||
from fastapi import FastAPI
|
||||
from pydantic import BaseModel
|
||||
from starlette.testclient import TestClient
|
||||
from fastapi.testclient import TestClient
|
||||
from inline_snapshot import snapshot
|
||||
|
||||
from .utils import needs_pydanticv1
|
||||
|
||||
|
||||
class Address(BaseModel):
|
||||
"""
|
||||
This is a public description of an Address
|
||||
\f
|
||||
You can't see this part of the docstring, it's private!
|
||||
"""
|
||||
@pytest.fixture(
|
||||
name="client",
|
||||
params=[
|
||||
pytest.param("pydantic-v1", marks=needs_pydanticv1),
|
||||
"pydantic-v2",
|
||||
],
|
||||
)
|
||||
def client_fixture(request: pytest.FixtureRequest) -> TestClient:
|
||||
if request.param == "pydantic-v1":
|
||||
from pydantic.v1 import BaseModel
|
||||
else:
|
||||
from pydantic import BaseModel
|
||||
|
||||
line_1: str
|
||||
city: str
|
||||
state_province: str
|
||||
class Address(BaseModel):
|
||||
"""
|
||||
This is a public description of an Address
|
||||
\f
|
||||
You can't see this part of the docstring, it's private!
|
||||
"""
|
||||
|
||||
line_1: str
|
||||
city: str
|
||||
state_province: str
|
||||
|
||||
class Facility(BaseModel):
|
||||
id: str
|
||||
address: Address
|
||||
|
||||
app = FastAPI()
|
||||
|
||||
@app.get("/facilities/{facility_id}")
|
||||
def get_facility(facility_id: str) -> Facility:
|
||||
return Facility(
|
||||
id=facility_id,
|
||||
address=Address(line_1="123 Main St", city="Anytown", state_province="CA"),
|
||||
)
|
||||
|
||||
client = TestClient(app)
|
||||
return client
|
||||
|
||||
|
||||
class Facility(BaseModel):
|
||||
id: str
|
||||
address: Address
|
||||
def test_get(client: TestClient):
|
||||
response = client.get("/facilities/42")
|
||||
assert response.status_code == 200, response.text
|
||||
assert response.json() == {
|
||||
"id": "42",
|
||||
"address": {
|
||||
"line_1": "123 Main St",
|
||||
"city": "Anytown",
|
||||
"state_province": "CA",
|
||||
},
|
||||
}
|
||||
|
||||
|
||||
app = FastAPI()
|
||||
|
||||
client = TestClient(app)
|
||||
|
||||
|
||||
@app.get("/facilities/{facility_id}")
|
||||
def get_facility(facility_id: str) -> Facility: ...
|
||||
|
||||
|
||||
openapi_schema = {
|
||||
"components": {
|
||||
"schemas": {
|
||||
"Address": {
|
||||
# NOTE: the description of this model shows only the public-facing text, before the `\f` in docstring
|
||||
"description": "This is a public description of an Address\n",
|
||||
"properties": {
|
||||
"city": {"title": "City", "type": "string"},
|
||||
"line_1": {"title": "Line 1", "type": "string"},
|
||||
"state_province": {"title": "State Province", "type": "string"},
|
||||
},
|
||||
"required": ["line_1", "city", "state_province"],
|
||||
"title": "Address",
|
||||
"type": "object",
|
||||
},
|
||||
"Facility": {
|
||||
"properties": {
|
||||
"address": {"$ref": "#/components/schemas/Address"},
|
||||
"id": {"title": "Id", "type": "string"},
|
||||
},
|
||||
"required": ["id", "address"],
|
||||
"title": "Facility",
|
||||
"type": "object",
|
||||
},
|
||||
"HTTPValidationError": {
|
||||
"properties": {
|
||||
"detail": {
|
||||
"items": {"$ref": "#/components/schemas/ValidationError"},
|
||||
"title": "Detail",
|
||||
"type": "array",
|
||||
}
|
||||
},
|
||||
"title": "HTTPValidationError",
|
||||
"type": "object",
|
||||
},
|
||||
"ValidationError": {
|
||||
"properties": {
|
||||
"loc": {
|
||||
"items": {"anyOf": [{"type": "string"}, {"type": "integer"}]},
|
||||
"title": "Location",
|
||||
"type": "array",
|
||||
},
|
||||
"msg": {"title": "Message", "type": "string"},
|
||||
"type": {"title": "Error Type", "type": "string"},
|
||||
},
|
||||
"required": ["loc", "msg", "type"],
|
||||
"title": "ValidationError",
|
||||
"type": "object",
|
||||
},
|
||||
}
|
||||
},
|
||||
"info": {"title": "FastAPI", "version": "0.1.0"},
|
||||
"openapi": "3.1.0",
|
||||
"paths": {
|
||||
"/facilities/{facility_id}": {
|
||||
"get": {
|
||||
"operationId": "get_facility_facilities__facility_id__get",
|
||||
"parameters": [
|
||||
{
|
||||
"in": "path",
|
||||
"name": "facility_id",
|
||||
"required": True,
|
||||
"schema": {"title": "Facility Id", "type": "string"},
|
||||
}
|
||||
],
|
||||
"responses": {
|
||||
"200": {
|
||||
"content": {
|
||||
"application/json": {
|
||||
"schema": {"$ref": "#/components/schemas/Facility"}
|
||||
}
|
||||
},
|
||||
"description": "Successful Response",
|
||||
},
|
||||
"422": {
|
||||
"content": {
|
||||
"application/json": {
|
||||
"schema": {
|
||||
"$ref": "#/components/schemas/HTTPValidationError"
|
||||
}
|
||||
}
|
||||
},
|
||||
"description": "Validation Error",
|
||||
},
|
||||
},
|
||||
"summary": "Get Facility",
|
||||
}
|
||||
}
|
||||
},
|
||||
}
|
||||
|
||||
|
||||
def test_openapi_schema():
|
||||
def test_openapi_schema(client: TestClient):
|
||||
"""
|
||||
Sanity check to ensure our app's openapi schema renders as we expect
|
||||
"""
|
||||
response = client.get("/openapi.json")
|
||||
assert response.status_code == 200, response.text
|
||||
assert response.json() == openapi_schema
|
||||
|
||||
|
||||
class SortedTypeSet(set):
|
||||
"""
|
||||
Set of Types whose `__iter__()` method yields results sorted by the type names
|
||||
"""
|
||||
|
||||
def __init__(self, seq: set[type[Any]], *, sort_reversed: bool):
|
||||
super().__init__(seq)
|
||||
self.sort_reversed = sort_reversed
|
||||
|
||||
def __iter__(self) -> Iterator[type[Any]]:
|
||||
members_sorted = sorted(
|
||||
super().__iter__(),
|
||||
key=lambda type_: type_.__name__,
|
||||
reverse=self.sort_reversed,
|
||||
)
|
||||
yield from members_sorted
|
||||
|
||||
|
||||
@needs_pydanticv1
|
||||
@pytest.mark.parametrize("sort_reversed", [True, False])
|
||||
def test_model_description_escaped_with_formfeed(sort_reversed: bool):
|
||||
"""
|
||||
Regression test for bug fixed by https://github.com/fastapi/fastapi/pull/6039.
|
||||
|
||||
Test `get_model_definitions` with models passed in different order.
|
||||
"""
|
||||
from fastapi._compat import v1
|
||||
|
||||
all_fields = fastapi.openapi.utils.get_fields_from_routes(app.routes)
|
||||
|
||||
flat_models = v1.get_flat_models_from_fields(all_fields, known_models=set())
|
||||
model_name_map = pydantic.schema.get_model_name_map(flat_models)
|
||||
|
||||
expected_address_description = "This is a public description of an Address\n"
|
||||
|
||||
models = v1.get_model_definitions(
|
||||
flat_models=SortedTypeSet(flat_models, sort_reversed=sort_reversed),
|
||||
model_name_map=model_name_map,
|
||||
assert response.json() == snapshot(
|
||||
{
|
||||
"components": {
|
||||
"schemas": {
|
||||
"Address": {
|
||||
# NOTE: the description of this model shows only the public-facing text, before the `\f` in docstring
|
||||
"description": "This is a public description of an Address\n",
|
||||
"properties": {
|
||||
"city": {"title": "City", "type": "string"},
|
||||
"line_1": {"title": "Line 1", "type": "string"},
|
||||
"state_province": {
|
||||
"title": "State Province",
|
||||
"type": "string",
|
||||
},
|
||||
},
|
||||
"required": ["line_1", "city", "state_province"],
|
||||
"title": "Address",
|
||||
"type": "object",
|
||||
},
|
||||
"Facility": {
|
||||
"properties": {
|
||||
"address": {"$ref": "#/components/schemas/Address"},
|
||||
"id": {"title": "Id", "type": "string"},
|
||||
},
|
||||
"required": ["id", "address"],
|
||||
"title": "Facility",
|
||||
"type": "object",
|
||||
},
|
||||
"HTTPValidationError": {
|
||||
"properties": {
|
||||
"detail": {
|
||||
"items": {
|
||||
"$ref": "#/components/schemas/ValidationError"
|
||||
},
|
||||
"title": "Detail",
|
||||
"type": "array",
|
||||
}
|
||||
},
|
||||
"title": "HTTPValidationError",
|
||||
"type": "object",
|
||||
},
|
||||
"ValidationError": {
|
||||
"properties": {
|
||||
"loc": {
|
||||
"items": {
|
||||
"anyOf": [{"type": "string"}, {"type": "integer"}]
|
||||
},
|
||||
"title": "Location",
|
||||
"type": "array",
|
||||
},
|
||||
"msg": {"title": "Message", "type": "string"},
|
||||
"type": {"title": "Error Type", "type": "string"},
|
||||
},
|
||||
"required": ["loc", "msg", "type"],
|
||||
"title": "ValidationError",
|
||||
"type": "object",
|
||||
},
|
||||
}
|
||||
},
|
||||
"info": {"title": "FastAPI", "version": "0.1.0"},
|
||||
"openapi": "3.1.0",
|
||||
"paths": {
|
||||
"/facilities/{facility_id}": {
|
||||
"get": {
|
||||
"operationId": "get_facility_facilities__facility_id__get",
|
||||
"parameters": [
|
||||
{
|
||||
"in": "path",
|
||||
"name": "facility_id",
|
||||
"required": True,
|
||||
"schema": {"title": "Facility Id", "type": "string"},
|
||||
}
|
||||
],
|
||||
"responses": {
|
||||
"200": {
|
||||
"content": {
|
||||
"application/json": {
|
||||
"schema": {
|
||||
"$ref": "#/components/schemas/Facility"
|
||||
}
|
||||
}
|
||||
},
|
||||
"description": "Successful Response",
|
||||
},
|
||||
"422": {
|
||||
"content": {
|
||||
"application/json": {
|
||||
"schema": {
|
||||
"$ref": "#/components/schemas/HTTPValidationError"
|
||||
}
|
||||
}
|
||||
},
|
||||
"description": "Validation Error",
|
||||
},
|
||||
},
|
||||
"summary": "Get Facility",
|
||||
}
|
||||
}
|
||||
},
|
||||
}
|
||||
)
|
||||
assert models["Address"]["description"] == expected_address_description
|
||||
|
||||
@@ -5,7 +5,7 @@ from fastapi import FastAPI
|
||||
from fastapi.testclient import TestClient
|
||||
from pydantic import BaseModel
|
||||
|
||||
from .utils import needs_pydanticv1, needs_pydanticv2
|
||||
from .utils import needs_pydanticv1
|
||||
|
||||
|
||||
class MyUuid:
|
||||
@@ -26,7 +26,6 @@ class MyUuid:
|
||||
raise TypeError("vars() argument must have __dict__ attribute")
|
||||
|
||||
|
||||
@needs_pydanticv2
|
||||
def test_pydanticv2():
|
||||
from pydantic import field_serializer
|
||||
|
||||
@@ -73,6 +72,8 @@ def test_pydanticv2():
|
||||
# TODO: remove when deprecating Pydantic v1
|
||||
@needs_pydanticv1
|
||||
def test_pydanticv1():
|
||||
from pydantic import v1
|
||||
|
||||
app = FastAPI()
|
||||
|
||||
@app.get("/fast_uuid")
|
||||
@@ -84,7 +85,7 @@ def test_pydanticv1():
|
||||
vars(asyncpg_uuid)
|
||||
return {"fast_uuid": asyncpg_uuid}
|
||||
|
||||
class SomeCustomClass(BaseModel):
|
||||
class SomeCustomClass(v1.BaseModel):
|
||||
class Config:
|
||||
arbitrary_types_allowed = True
|
||||
json_encoders = {uuid.UUID: str}
|
||||
|
||||
@@ -8,11 +8,11 @@ from pathlib import PurePath, PurePosixPath, PureWindowsPath
|
||||
from typing import Optional
|
||||
|
||||
import pytest
|
||||
from fastapi._compat import PYDANTIC_V2, Undefined
|
||||
from fastapi._compat import Undefined
|
||||
from fastapi.encoders import jsonable_encoder
|
||||
from pydantic import BaseModel, Field, ValidationError
|
||||
|
||||
from .utils import needs_pydanticv1, needs_pydanticv2
|
||||
from .utils import needs_pydanticv1
|
||||
|
||||
|
||||
class Person:
|
||||
@@ -59,12 +59,7 @@ class RoleEnum(Enum):
|
||||
class ModelWithConfig(BaseModel):
|
||||
role: Optional[RoleEnum] = None
|
||||
|
||||
if PYDANTIC_V2:
|
||||
model_config = {"use_enum_values": True}
|
||||
else:
|
||||
|
||||
class Config:
|
||||
use_enum_values = True
|
||||
model_config = {"use_enum_values": True}
|
||||
|
||||
|
||||
class ModelWithAlias(BaseModel):
|
||||
@@ -89,6 +84,18 @@ def test_encode_dict():
|
||||
}
|
||||
|
||||
|
||||
def test_encode_dict_include_exclude_list():
|
||||
pet = {"name": "Firulais", "owner": {"name": "Foo"}}
|
||||
assert jsonable_encoder(pet) == {"name": "Firulais", "owner": {"name": "Foo"}}
|
||||
assert jsonable_encoder(pet, include=["name"]) == {"name": "Firulais"}
|
||||
assert jsonable_encoder(pet, exclude=["owner"]) == {"name": "Firulais"}
|
||||
assert jsonable_encoder(pet, include=[]) == {}
|
||||
assert jsonable_encoder(pet, exclude=[]) == {
|
||||
"name": "Firulais",
|
||||
"owner": {"name": "Foo"},
|
||||
}
|
||||
|
||||
|
||||
def test_encode_class():
|
||||
person = Person(name="Foo")
|
||||
pet = Pet(owner=person, name="Firulais")
|
||||
@@ -130,7 +137,6 @@ def test_encode_unsupported():
|
||||
jsonable_encoder(unserializable)
|
||||
|
||||
|
||||
@needs_pydanticv2
|
||||
def test_encode_custom_json_encoders_model_pydanticv2():
|
||||
from pydantic import field_serializer
|
||||
|
||||
@@ -153,7 +159,9 @@ def test_encode_custom_json_encoders_model_pydanticv2():
|
||||
# TODO: remove when deprecating Pydantic v1
|
||||
@needs_pydanticv1
|
||||
def test_encode_custom_json_encoders_model_pydanticv1():
|
||||
class ModelWithCustomEncoder(BaseModel):
|
||||
from pydantic import v1
|
||||
|
||||
class ModelWithCustomEncoder(v1.BaseModel):
|
||||
dt_field: datetime
|
||||
|
||||
class Config:
|
||||
@@ -208,10 +216,12 @@ def test_encode_model_with_default():
|
||||
|
||||
@needs_pydanticv1
|
||||
def test_custom_encoders():
|
||||
from pydantic import v1
|
||||
|
||||
class safe_datetime(datetime):
|
||||
pass
|
||||
|
||||
class MyModel(BaseModel):
|
||||
class MyModel(v1.BaseModel):
|
||||
dt_field: safe_datetime
|
||||
|
||||
instance = MyModel(dt_field=safe_datetime.now())
|
||||
@@ -244,12 +254,7 @@ def test_encode_model_with_pure_path():
|
||||
class ModelWithPath(BaseModel):
|
||||
path: PurePath
|
||||
|
||||
if PYDANTIC_V2:
|
||||
model_config = {"arbitrary_types_allowed": True}
|
||||
else:
|
||||
|
||||
class Config:
|
||||
arbitrary_types_allowed = True
|
||||
model_config = {"arbitrary_types_allowed": True}
|
||||
|
||||
test_path = PurePath("/foo", "bar")
|
||||
obj = ModelWithPath(path=test_path)
|
||||
@@ -260,12 +265,7 @@ def test_encode_model_with_pure_posix_path():
|
||||
class ModelWithPath(BaseModel):
|
||||
path: PurePosixPath
|
||||
|
||||
if PYDANTIC_V2:
|
||||
model_config = {"arbitrary_types_allowed": True}
|
||||
else:
|
||||
|
||||
class Config:
|
||||
arbitrary_types_allowed = True
|
||||
model_config = {"arbitrary_types_allowed": True}
|
||||
|
||||
obj = ModelWithPath(path=PurePosixPath("/foo", "bar"))
|
||||
assert jsonable_encoder(obj) == {"path": "/foo/bar"}
|
||||
@@ -275,45 +275,44 @@ def test_encode_model_with_pure_windows_path():
|
||||
class ModelWithPath(BaseModel):
|
||||
path: PureWindowsPath
|
||||
|
||||
if PYDANTIC_V2:
|
||||
model_config = {"arbitrary_types_allowed": True}
|
||||
else:
|
||||
|
||||
class Config:
|
||||
arbitrary_types_allowed = True
|
||||
model_config = {"arbitrary_types_allowed": True}
|
||||
|
||||
obj = ModelWithPath(path=PureWindowsPath("/foo", "bar"))
|
||||
assert jsonable_encoder(obj) == {"path": "\\foo\\bar"}
|
||||
|
||||
|
||||
def test_encode_pure_path():
|
||||
test_path = PurePath("/foo", "bar")
|
||||
|
||||
assert jsonable_encoder({"path": test_path}) == {"path": str(test_path)}
|
||||
|
||||
|
||||
@needs_pydanticv1
|
||||
def test_encode_root():
|
||||
class ModelWithRoot(BaseModel):
|
||||
from pydantic import v1
|
||||
|
||||
class ModelWithRoot(v1.BaseModel):
|
||||
__root__: str
|
||||
|
||||
model = ModelWithRoot(__root__="Foo")
|
||||
assert jsonable_encoder(model) == "Foo"
|
||||
|
||||
|
||||
@needs_pydanticv2
|
||||
def test_decimal_encoder_float():
|
||||
data = {"value": Decimal(1.23)}
|
||||
assert jsonable_encoder(data) == {"value": 1.23}
|
||||
|
||||
|
||||
@needs_pydanticv2
|
||||
def test_decimal_encoder_int():
|
||||
data = {"value": Decimal(2)}
|
||||
assert jsonable_encoder(data) == {"value": 2}
|
||||
|
||||
|
||||
@needs_pydanticv2
|
||||
def test_decimal_encoder_nan():
|
||||
data = {"value": Decimal("NaN")}
|
||||
assert isnan(jsonable_encoder(data)["value"])
|
||||
|
||||
|
||||
@needs_pydanticv2
|
||||
def test_decimal_encoder_infinity():
|
||||
data = {"value": Decimal("Infinity")}
|
||||
assert isinf(jsonable_encoder(data)["value"])
|
||||
@@ -330,7 +329,6 @@ def test_encode_deque_encodes_child_models():
|
||||
assert jsonable_encoder(dq)[0]["test"] == "test"
|
||||
|
||||
|
||||
@needs_pydanticv2
|
||||
def test_encode_pydantic_undefined():
|
||||
data = {"value": Undefined}
|
||||
assert jsonable_encoder(data) == {"value": None}
|
||||
|
||||
@@ -9,8 +9,6 @@ from fastapi.testclient import TestClient
|
||||
from inline_snapshot import snapshot
|
||||
from pydantic import BaseModel, Field
|
||||
|
||||
from tests.utils import pydantic_snapshot
|
||||
|
||||
|
||||
class MessageEventType(str, Enum):
|
||||
alpha = "alpha"
|
||||
@@ -126,47 +124,21 @@ def test_openapi_schema():
|
||||
},
|
||||
"MessageEvent": {
|
||||
"properties": {
|
||||
"event_type": pydantic_snapshot(
|
||||
v2=snapshot(
|
||||
{
|
||||
"$ref": "#/components/schemas/MessageEventType",
|
||||
"default": "alpha",
|
||||
}
|
||||
),
|
||||
v1=snapshot(
|
||||
{
|
||||
"allOf": [
|
||||
{
|
||||
"$ref": "#/components/schemas/MessageEventType"
|
||||
}
|
||||
],
|
||||
"default": "alpha",
|
||||
}
|
||||
),
|
||||
),
|
||||
"event_type": {
|
||||
"$ref": "#/components/schemas/MessageEventType",
|
||||
"default": "alpha",
|
||||
},
|
||||
"output": {"type": "string", "title": "Output"},
|
||||
},
|
||||
"type": "object",
|
||||
"required": ["output"],
|
||||
"title": "MessageEvent",
|
||||
},
|
||||
"MessageEventType": pydantic_snapshot(
|
||||
v2=snapshot(
|
||||
{
|
||||
"type": "string",
|
||||
"enum": ["alpha", "beta"],
|
||||
"title": "MessageEventType",
|
||||
}
|
||||
),
|
||||
v1=snapshot(
|
||||
{
|
||||
"type": "string",
|
||||
"enum": ["alpha", "beta"],
|
||||
"title": "MessageEventType",
|
||||
"description": "An enumeration.",
|
||||
}
|
||||
),
|
||||
),
|
||||
"MessageEventType": {
|
||||
"type": "string",
|
||||
"enum": ["alpha", "beta"],
|
||||
"title": "MessageEventType",
|
||||
},
|
||||
"MessageOutput": {
|
||||
"properties": {
|
||||
"body": {"type": "string", "title": "Body", "default": ""},
|
||||
|
||||
@@ -3,37 +3,30 @@ from typing import Optional
|
||||
from fastapi import FastAPI
|
||||
from fastapi.testclient import TestClient
|
||||
from inline_snapshot import snapshot
|
||||
from pydantic import BaseModel
|
||||
|
||||
from .utils import PYDANTIC_V2, needs_pydanticv2
|
||||
from pydantic import BaseModel, computed_field
|
||||
|
||||
|
||||
class SubItem(BaseModel):
|
||||
subname: str
|
||||
sub_description: Optional[str] = None
|
||||
tags: list[str] = []
|
||||
if PYDANTIC_V2:
|
||||
model_config = {"json_schema_serialization_defaults_required": True}
|
||||
model_config = {"json_schema_serialization_defaults_required": True}
|
||||
|
||||
|
||||
class Item(BaseModel):
|
||||
name: str
|
||||
description: Optional[str] = None
|
||||
sub: Optional[SubItem] = None
|
||||
if PYDANTIC_V2:
|
||||
model_config = {"json_schema_serialization_defaults_required": True}
|
||||
model_config = {"json_schema_serialization_defaults_required": True}
|
||||
|
||||
|
||||
if PYDANTIC_V2:
|
||||
from pydantic import computed_field
|
||||
class WithComputedField(BaseModel):
|
||||
name: str
|
||||
|
||||
class WithComputedField(BaseModel):
|
||||
name: str
|
||||
|
||||
@computed_field
|
||||
@property
|
||||
def computed_field(self) -> str:
|
||||
return f"computed {self.name}"
|
||||
@computed_field
|
||||
@property
|
||||
def computed_field(self) -> str:
|
||||
return f"computed {self.name}"
|
||||
|
||||
|
||||
def get_app_client(separate_input_output_schemas: bool = True) -> TestClient:
|
||||
@@ -58,13 +51,11 @@ def get_app_client(separate_input_output_schemas: bool = True) -> TestClient:
|
||||
Item(name="Plumbus"),
|
||||
]
|
||||
|
||||
if PYDANTIC_V2:
|
||||
|
||||
@app.post("/with-computed-field/")
|
||||
def create_with_computed_field(
|
||||
with_computed_field: WithComputedField,
|
||||
) -> WithComputedField:
|
||||
return with_computed_field
|
||||
@app.post("/with-computed-field/")
|
||||
def create_with_computed_field(
|
||||
with_computed_field: WithComputedField,
|
||||
) -> WithComputedField:
|
||||
return with_computed_field
|
||||
|
||||
client = TestClient(app)
|
||||
return client
|
||||
@@ -151,7 +142,6 @@ def test_read_items():
|
||||
)
|
||||
|
||||
|
||||
@needs_pydanticv2
|
||||
def test_with_computed_field():
|
||||
client = get_app_client()
|
||||
client_no = get_app_client(separate_input_output_schemas=False)
|
||||
@@ -168,7 +158,6 @@ def test_with_computed_field():
|
||||
)
|
||||
|
||||
|
||||
@needs_pydanticv2
|
||||
def test_openapi_schema():
|
||||
client = get_app_client()
|
||||
response = client.get("/openapi.json")
|
||||
@@ -449,7 +438,6 @@ def test_openapi_schema():
|
||||
)
|
||||
|
||||
|
||||
@needs_pydanticv2
|
||||
def test_openapi_schema_no_separate():
|
||||
client = get_app_client(separate_input_output_schemas=False)
|
||||
response = client.get("/openapi.json")
|
||||
|
||||
@@ -1,7 +1,7 @@
|
||||
import sys
|
||||
from typing import Any, Union
|
||||
|
||||
from tests.utils import pydantic_snapshot, skip_module_if_py_gte_314
|
||||
from tests.utils import skip_module_if_py_gte_314
|
||||
|
||||
if sys.version_info >= (3, 14):
|
||||
skip_module_if_py_gte_314()
|
||||
@@ -225,21 +225,12 @@ def test_openapi_schema():
|
||||
"requestBody": {
|
||||
"content": {
|
||||
"application/json": {
|
||||
"schema": pydantic_snapshot(
|
||||
v2=snapshot(
|
||||
{
|
||||
"allOf": [
|
||||
{
|
||||
"$ref": "#/components/schemas/SubItem"
|
||||
}
|
||||
],
|
||||
"title": "Data",
|
||||
}
|
||||
),
|
||||
v1=snapshot(
|
||||
"schema": {
|
||||
"allOf": [
|
||||
{"$ref": "#/components/schemas/SubItem"}
|
||||
),
|
||||
)
|
||||
],
|
||||
"title": "Data",
|
||||
}
|
||||
}
|
||||
},
|
||||
"required": True,
|
||||
@@ -275,21 +266,12 @@ def test_openapi_schema():
|
||||
"requestBody": {
|
||||
"content": {
|
||||
"application/json": {
|
||||
"schema": pydantic_snapshot(
|
||||
v2=snapshot(
|
||||
{
|
||||
"allOf": [
|
||||
{
|
||||
"$ref": "#/components/schemas/SubItem"
|
||||
}
|
||||
],
|
||||
"title": "Data",
|
||||
}
|
||||
),
|
||||
v1=snapshot(
|
||||
"schema": {
|
||||
"allOf": [
|
||||
{"$ref": "#/components/schemas/SubItem"}
|
||||
),
|
||||
)
|
||||
],
|
||||
"title": "Data",
|
||||
}
|
||||
}
|
||||
},
|
||||
"required": True,
|
||||
@@ -325,21 +307,12 @@ def test_openapi_schema():
|
||||
"requestBody": {
|
||||
"content": {
|
||||
"application/json": {
|
||||
"schema": pydantic_snapshot(
|
||||
v2=snapshot(
|
||||
{
|
||||
"allOf": [
|
||||
{
|
||||
"$ref": "#/components/schemas/Item"
|
||||
}
|
||||
],
|
||||
"title": "Data",
|
||||
}
|
||||
),
|
||||
v1=snapshot(
|
||||
"schema": {
|
||||
"allOf": [
|
||||
{"$ref": "#/components/schemas/Item"}
|
||||
),
|
||||
)
|
||||
],
|
||||
"title": "Data",
|
||||
}
|
||||
}
|
||||
},
|
||||
"required": True,
|
||||
@@ -373,21 +346,12 @@ def test_openapi_schema():
|
||||
"requestBody": {
|
||||
"content": {
|
||||
"application/json": {
|
||||
"schema": pydantic_snapshot(
|
||||
v2=snapshot(
|
||||
{
|
||||
"allOf": [
|
||||
{
|
||||
"$ref": "#/components/schemas/Item"
|
||||
}
|
||||
],
|
||||
"title": "Data",
|
||||
}
|
||||
),
|
||||
v1=snapshot(
|
||||
"schema": {
|
||||
"allOf": [
|
||||
{"$ref": "#/components/schemas/Item"}
|
||||
),
|
||||
)
|
||||
],
|
||||
"title": "Data",
|
||||
}
|
||||
}
|
||||
},
|
||||
"required": True,
|
||||
|
||||
@@ -1,7 +1,7 @@
|
||||
import sys
|
||||
from typing import Any, Union
|
||||
|
||||
from tests.utils import pydantic_snapshot, skip_module_if_py_gte_314
|
||||
from tests.utils import skip_module_if_py_gte_314
|
||||
|
||||
if sys.version_info >= (3, 14):
|
||||
skip_module_if_py_gte_314()
|
||||
@@ -375,21 +375,12 @@ def test_openapi_schema():
|
||||
"requestBody": {
|
||||
"content": {
|
||||
"application/json": {
|
||||
"schema": pydantic_snapshot(
|
||||
v2=snapshot(
|
||||
{
|
||||
"allOf": [
|
||||
{
|
||||
"$ref": "#/components/schemas/Item"
|
||||
}
|
||||
],
|
||||
"title": "Data",
|
||||
}
|
||||
),
|
||||
v1=snapshot(
|
||||
"schema": {
|
||||
"allOf": [
|
||||
{"$ref": "#/components/schemas/Item"}
|
||||
),
|
||||
)
|
||||
],
|
||||
"title": "Data",
|
||||
}
|
||||
}
|
||||
},
|
||||
"required": True,
|
||||
@@ -429,21 +420,12 @@ def test_openapi_schema():
|
||||
"requestBody": {
|
||||
"content": {
|
||||
"application/json": {
|
||||
"schema": pydantic_snapshot(
|
||||
v2=snapshot(
|
||||
{
|
||||
"allOf": [
|
||||
{
|
||||
"$ref": "#/components/schemas/Item"
|
||||
}
|
||||
],
|
||||
"title": "Data",
|
||||
}
|
||||
),
|
||||
v1=snapshot(
|
||||
"schema": {
|
||||
"allOf": [
|
||||
{"$ref": "#/components/schemas/Item"}
|
||||
),
|
||||
)
|
||||
],
|
||||
"title": "Data",
|
||||
}
|
||||
}
|
||||
},
|
||||
"required": True,
|
||||
|
||||
@@ -1,7 +1,7 @@
|
||||
import sys
|
||||
from typing import Any, Union
|
||||
|
||||
from tests.utils import pydantic_snapshot, skip_module_if_py_gte_314
|
||||
from tests.utils import skip_module_if_py_gte_314
|
||||
|
||||
if sys.version_info >= (3, 14):
|
||||
skip_module_if_py_gte_314()
|
||||
@@ -668,38 +668,20 @@ def test_v2_to_v1_validation_error():
|
||||
assert response.status_code == 422, response.text
|
||||
assert response.json() == snapshot(
|
||||
{
|
||||
"detail": pydantic_snapshot(
|
||||
v2=snapshot(
|
||||
[
|
||||
{
|
||||
"type": "missing",
|
||||
"loc": ["body", "new_size"],
|
||||
"msg": "Field required",
|
||||
"input": {"new_title": "Missing fields"},
|
||||
},
|
||||
{
|
||||
"type": "missing",
|
||||
"loc": ["body", "new_sub"],
|
||||
"msg": "Field required",
|
||||
"input": {"new_title": "Missing fields"},
|
||||
},
|
||||
]
|
||||
),
|
||||
v1=snapshot(
|
||||
[
|
||||
{
|
||||
"loc": ["body", "new_size"],
|
||||
"msg": "field required",
|
||||
"type": "value_error.missing",
|
||||
},
|
||||
{
|
||||
"loc": ["body", "new_sub"],
|
||||
"msg": "field required",
|
||||
"type": "value_error.missing",
|
||||
},
|
||||
]
|
||||
),
|
||||
)
|
||||
"detail": [
|
||||
{
|
||||
"type": "missing",
|
||||
"loc": ["body", "new_size"],
|
||||
"msg": "Field required",
|
||||
"input": {"new_title": "Missing fields"},
|
||||
},
|
||||
{
|
||||
"type": "missing",
|
||||
"loc": ["body", "new_sub"],
|
||||
"msg": "Field required",
|
||||
"input": {"new_title": "Missing fields"},
|
||||
},
|
||||
]
|
||||
}
|
||||
)
|
||||
|
||||
@@ -717,23 +699,12 @@ def test_v2_to_v1_nested_validation_error():
|
||||
assert response.json() == snapshot(
|
||||
{
|
||||
"detail": [
|
||||
pydantic_snapshot(
|
||||
v2=snapshot(
|
||||
{
|
||||
"type": "missing",
|
||||
"loc": ["body", "new_sub", "new_sub_name"],
|
||||
"msg": "Field required",
|
||||
"input": {"wrong_field": "value"},
|
||||
}
|
||||
),
|
||||
v1=snapshot(
|
||||
{
|
||||
"loc": ["body", "new_sub", "new_sub_name"],
|
||||
"msg": "field required",
|
||||
"type": "value_error.missing",
|
||||
}
|
||||
),
|
||||
)
|
||||
{
|
||||
"type": "missing",
|
||||
"loc": ["body", "new_sub", "new_sub_name"],
|
||||
"msg": "Field required",
|
||||
"input": {"wrong_field": "value"},
|
||||
}
|
||||
]
|
||||
}
|
||||
)
|
||||
@@ -777,38 +748,20 @@ def test_v2_list_validation_error():
|
||||
assert response.status_code == 422, response.text
|
||||
assert response.json() == snapshot(
|
||||
{
|
||||
"detail": pydantic_snapshot(
|
||||
v2=snapshot(
|
||||
[
|
||||
{
|
||||
"type": "missing",
|
||||
"loc": ["body", 1, "new_size"],
|
||||
"msg": "Field required",
|
||||
"input": {"new_title": "Invalid"},
|
||||
},
|
||||
{
|
||||
"type": "missing",
|
||||
"loc": ["body", 1, "new_sub"],
|
||||
"msg": "Field required",
|
||||
"input": {"new_title": "Invalid"},
|
||||
},
|
||||
]
|
||||
),
|
||||
v1=snapshot(
|
||||
[
|
||||
{
|
||||
"loc": ["body", 1, "new_size"],
|
||||
"msg": "field required",
|
||||
"type": "value_error.missing",
|
||||
},
|
||||
{
|
||||
"loc": ["body", 1, "new_sub"],
|
||||
"msg": "field required",
|
||||
"type": "value_error.missing",
|
||||
},
|
||||
]
|
||||
),
|
||||
)
|
||||
"detail": [
|
||||
{
|
||||
"type": "missing",
|
||||
"loc": ["body", 1, "new_size"],
|
||||
"msg": "Field required",
|
||||
"input": {"new_title": "Invalid"},
|
||||
},
|
||||
{
|
||||
"type": "missing",
|
||||
"loc": ["body", 1, "new_sub"],
|
||||
"msg": "Field required",
|
||||
"input": {"new_title": "Invalid"},
|
||||
},
|
||||
]
|
||||
}
|
||||
)
|
||||
|
||||
@@ -844,31 +797,18 @@ def test_invalid_list_structure_v2():
|
||||
assert response.status_code == 422, response.text
|
||||
assert response.json() == snapshot(
|
||||
{
|
||||
"detail": pydantic_snapshot(
|
||||
v2=snapshot(
|
||||
[
|
||||
{
|
||||
"type": "list_type",
|
||||
"loc": ["body"],
|
||||
"msg": "Input should be a valid list",
|
||||
"input": {
|
||||
"new_title": "Not a list",
|
||||
"new_size": 100,
|
||||
"new_sub": {"new_sub_name": "Sub"},
|
||||
},
|
||||
}
|
||||
]
|
||||
),
|
||||
v1=snapshot(
|
||||
[
|
||||
{
|
||||
"loc": ["body"],
|
||||
"msg": "value is not a valid list",
|
||||
"type": "type_error.list",
|
||||
}
|
||||
]
|
||||
),
|
||||
)
|
||||
"detail": [
|
||||
{
|
||||
"type": "list_type",
|
||||
"loc": ["body"],
|
||||
"msg": "Input should be a valid list",
|
||||
"input": {
|
||||
"new_title": "Not a list",
|
||||
"new_size": 100,
|
||||
"new_sub": {"new_sub_name": "Sub"},
|
||||
},
|
||||
}
|
||||
]
|
||||
}
|
||||
)
|
||||
|
||||
@@ -888,21 +828,12 @@ def test_openapi_schema():
|
||||
"requestBody": {
|
||||
"content": {
|
||||
"application/json": {
|
||||
"schema": pydantic_snapshot(
|
||||
v2=snapshot(
|
||||
{
|
||||
"allOf": [
|
||||
{
|
||||
"$ref": "#/components/schemas/Item"
|
||||
}
|
||||
],
|
||||
"title": "Data",
|
||||
}
|
||||
),
|
||||
v1=snapshot(
|
||||
"schema": {
|
||||
"allOf": [
|
||||
{"$ref": "#/components/schemas/Item"}
|
||||
),
|
||||
)
|
||||
],
|
||||
"title": "Data",
|
||||
}
|
||||
}
|
||||
},
|
||||
"required": True,
|
||||
@@ -938,21 +869,12 @@ def test_openapi_schema():
|
||||
"requestBody": {
|
||||
"content": {
|
||||
"application/json": {
|
||||
"schema": pydantic_snapshot(
|
||||
v2=snapshot(
|
||||
{
|
||||
"allOf": [
|
||||
{
|
||||
"$ref": "#/components/schemas/Item"
|
||||
}
|
||||
],
|
||||
"title": "Data",
|
||||
}
|
||||
),
|
||||
v1=snapshot(
|
||||
"schema": {
|
||||
"allOf": [
|
||||
{"$ref": "#/components/schemas/Item"}
|
||||
),
|
||||
)
|
||||
],
|
||||
"title": "Data",
|
||||
}
|
||||
}
|
||||
},
|
||||
"required": True,
|
||||
@@ -1056,21 +978,12 @@ def test_openapi_schema():
|
||||
"requestBody": {
|
||||
"content": {
|
||||
"application/json": {
|
||||
"schema": pydantic_snapshot(
|
||||
v2=snapshot(
|
||||
{
|
||||
"allOf": [
|
||||
{
|
||||
"$ref": "#/components/schemas/Item"
|
||||
}
|
||||
],
|
||||
"title": "Data",
|
||||
}
|
||||
),
|
||||
v1=snapshot(
|
||||
"schema": {
|
||||
"allOf": [
|
||||
{"$ref": "#/components/schemas/Item"}
|
||||
),
|
||||
)
|
||||
],
|
||||
"title": "Data",
|
||||
}
|
||||
}
|
||||
},
|
||||
"required": True,
|
||||
@@ -1440,17 +1353,10 @@ def test_openapi_schema():
|
||||
"properties": {
|
||||
"new_title": {"type": "string", "title": "New Title"},
|
||||
"new_size": {"type": "integer", "title": "New Size"},
|
||||
"new_description": pydantic_snapshot(
|
||||
v2=snapshot(
|
||||
{
|
||||
"anyOf": [{"type": "string"}, {"type": "null"}],
|
||||
"title": "New Description",
|
||||
}
|
||||
),
|
||||
v1=snapshot(
|
||||
{"type": "string", "title": "New Description"}
|
||||
),
|
||||
),
|
||||
"new_description": {
|
||||
"anyOf": [{"type": "string"}, {"type": "null"}],
|
||||
"title": "New Description",
|
||||
},
|
||||
"new_sub": {"$ref": "#/components/schemas/NewSubItem"},
|
||||
"new_multi": {
|
||||
"items": {"$ref": "#/components/schemas/NewSubItem"},
|
||||
|
||||
@@ -1,6 +1,6 @@
|
||||
import sys
|
||||
|
||||
from tests.utils import pydantic_snapshot, skip_module_if_py_gte_314
|
||||
from tests.utils import skip_module_if_py_gte_314
|
||||
|
||||
if sys.version_info >= (3, 14):
|
||||
skip_module_if_py_gte_314()
|
||||
@@ -292,23 +292,14 @@ def test_openapi_schema():
|
||||
"requestBody": {
|
||||
"content": {
|
||||
"application/json": {
|
||||
"schema": pydantic_snapshot(
|
||||
v2=snapshot(
|
||||
{
|
||||
"allOf": [
|
||||
{
|
||||
"$ref": "#/components/schemas/tests__test_pydantic_v1_v2_multifile__modelsv1__Item"
|
||||
}
|
||||
],
|
||||
"title": "Data",
|
||||
}
|
||||
),
|
||||
v1=snapshot(
|
||||
"schema": {
|
||||
"allOf": [
|
||||
{
|
||||
"$ref": "#/components/schemas/tests__test_pydantic_v1_v2_multifile__modelsv1__Item"
|
||||
}
|
||||
),
|
||||
)
|
||||
],
|
||||
"title": "Data",
|
||||
}
|
||||
}
|
||||
},
|
||||
"required": True,
|
||||
@@ -344,18 +335,9 @@ def test_openapi_schema():
|
||||
"requestBody": {
|
||||
"content": {
|
||||
"application/json": {
|
||||
"schema": pydantic_snapshot(
|
||||
v2=snapshot(
|
||||
{
|
||||
"$ref": "#/components/schemas/tests__test_pydantic_v1_v2_multifile__modelsv2__Item-Input"
|
||||
}
|
||||
),
|
||||
v1=snapshot(
|
||||
{
|
||||
"$ref": "#/components/schemas/tests__test_pydantic_v1_v2_multifile__modelsv2__Item"
|
||||
}
|
||||
),
|
||||
),
|
||||
"schema": {
|
||||
"$ref": "#/components/schemas/tests__test_pydantic_v1_v2_multifile__modelsv2__Item-Input"
|
||||
},
|
||||
}
|
||||
},
|
||||
"required": True,
|
||||
@@ -391,23 +373,14 @@ def test_openapi_schema():
|
||||
"requestBody": {
|
||||
"content": {
|
||||
"application/json": {
|
||||
"schema": pydantic_snapshot(
|
||||
v2=snapshot(
|
||||
{
|
||||
"allOf": [
|
||||
{
|
||||
"$ref": "#/components/schemas/tests__test_pydantic_v1_v2_multifile__modelsv1__Item"
|
||||
}
|
||||
],
|
||||
"title": "Data",
|
||||
}
|
||||
),
|
||||
v1=snapshot(
|
||||
"schema": {
|
||||
"allOf": [
|
||||
{
|
||||
"$ref": "#/components/schemas/tests__test_pydantic_v1_v2_multifile__modelsv1__Item"
|
||||
}
|
||||
),
|
||||
)
|
||||
],
|
||||
"title": "Data",
|
||||
}
|
||||
}
|
||||
},
|
||||
"required": True,
|
||||
@@ -535,18 +508,9 @@ def test_openapi_schema():
|
||||
"requestBody": {
|
||||
"content": {
|
||||
"application/json": {
|
||||
"schema": pydantic_snapshot(
|
||||
v2=snapshot(
|
||||
{
|
||||
"$ref": "#/components/schemas/tests__test_pydantic_v1_v2_multifile__modelsv2__Item-Input"
|
||||
}
|
||||
),
|
||||
v1=snapshot(
|
||||
{
|
||||
"$ref": "#/components/schemas/tests__test_pydantic_v1_v2_multifile__modelsv2__Item"
|
||||
}
|
||||
),
|
||||
),
|
||||
"schema": {
|
||||
"$ref": "#/components/schemas/tests__test_pydantic_v1_v2_multifile__modelsv2__Item-Input"
|
||||
},
|
||||
}
|
||||
},
|
||||
"required": True,
|
||||
@@ -587,18 +551,9 @@ def test_openapi_schema():
|
||||
"content": {
|
||||
"application/json": {
|
||||
"schema": {
|
||||
"items": pydantic_snapshot(
|
||||
v2=snapshot(
|
||||
{
|
||||
"$ref": "#/components/schemas/tests__test_pydantic_v1_v2_multifile__modelsv2__Item-Input"
|
||||
}
|
||||
),
|
||||
v1=snapshot(
|
||||
{
|
||||
"$ref": "#/components/schemas/tests__test_pydantic_v1_v2_multifile__modelsv2__Item"
|
||||
}
|
||||
),
|
||||
),
|
||||
"items": {
|
||||
"$ref": "#/components/schemas/tests__test_pydantic_v1_v2_multifile__modelsv2__Item-Input"
|
||||
},
|
||||
"type": "array",
|
||||
"title": "Data",
|
||||
}
|
||||
@@ -642,18 +597,9 @@ def test_openapi_schema():
|
||||
"content": {
|
||||
"application/json": {
|
||||
"schema": {
|
||||
"items": pydantic_snapshot(
|
||||
v2=snapshot(
|
||||
{
|
||||
"$ref": "#/components/schemas/tests__test_pydantic_v1_v2_multifile__modelsv2__Item-Input"
|
||||
}
|
||||
),
|
||||
v1=snapshot(
|
||||
{
|
||||
"$ref": "#/components/schemas/tests__test_pydantic_v1_v2_multifile__modelsv2__Item"
|
||||
}
|
||||
),
|
||||
),
|
||||
"items": {
|
||||
"$ref": "#/components/schemas/tests__test_pydantic_v1_v2_multifile__modelsv2__Item-Input"
|
||||
},
|
||||
"type": "array",
|
||||
"title": "Data",
|
||||
}
|
||||
@@ -767,460 +713,239 @@ def test_openapi_schema():
|
||||
},
|
||||
},
|
||||
"components": {
|
||||
"schemas": pydantic_snapshot(
|
||||
v1=snapshot(
|
||||
{
|
||||
"Body_handle_v2_items_in_list_to_v1_item_in_list_v2_to_v1_list_of_items_to_list_of_items_post": {
|
||||
"properties": {
|
||||
"data1": {
|
||||
"items": {
|
||||
"$ref": "#/components/schemas/tests__test_pydantic_v1_v2_multifile__modelsv2__ItemInList"
|
||||
},
|
||||
"type": "array",
|
||||
"title": "Data1",
|
||||
},
|
||||
"data2": {
|
||||
"items": {
|
||||
"$ref": "#/components/schemas/tests__test_pydantic_v1_v2_multifile__modelsv2b__ItemInList"
|
||||
},
|
||||
"type": "array",
|
||||
"title": "Data2",
|
||||
},
|
||||
"schemas": {
|
||||
"Body_handle_v2_items_in_list_to_v1_item_in_list_v2_to_v1_list_of_items_to_list_of_items_post": {
|
||||
"properties": {
|
||||
"data1": {
|
||||
"items": {
|
||||
"$ref": "#/components/schemas/tests__test_pydantic_v1_v2_multifile__modelsv2__ItemInList"
|
||||
},
|
||||
"type": "object",
|
||||
"required": ["data1", "data2"],
|
||||
"title": "Body_handle_v2_items_in_list_to_v1_item_in_list_v2_to_v1_list_of_items_to_list_of_items_post",
|
||||
"type": "array",
|
||||
"title": "Data1",
|
||||
},
|
||||
"Body_handle_v2_same_name_to_v1_v2_to_v1_same_name_post": {
|
||||
"properties": {
|
||||
"item1": {
|
||||
"$ref": "#/components/schemas/tests__test_pydantic_v1_v2_multifile__modelsv2__Item"
|
||||
},
|
||||
"item2": {
|
||||
"$ref": "#/components/schemas/tests__test_pydantic_v1_v2_multifile__modelsv2b__Item"
|
||||
},
|
||||
"data2": {
|
||||
"items": {
|
||||
"$ref": "#/components/schemas/tests__test_pydantic_v1_v2_multifile__modelsv2b__ItemInList"
|
||||
},
|
||||
"type": "object",
|
||||
"required": ["item1", "item2"],
|
||||
"title": "Body_handle_v2_same_name_to_v1_v2_to_v1_same_name_post",
|
||||
"type": "array",
|
||||
"title": "Data2",
|
||||
},
|
||||
"HTTPValidationError": {
|
||||
"properties": {
|
||||
"detail": {
|
||||
"items": {
|
||||
"$ref": "#/components/schemas/ValidationError"
|
||||
},
|
||||
"type": "array",
|
||||
"title": "Detail",
|
||||
}
|
||||
},
|
||||
"type": "object",
|
||||
"required": ["data1", "data2"],
|
||||
"title": "Body_handle_v2_items_in_list_to_v1_item_in_list_v2_to_v1_list_of_items_to_list_of_items_post",
|
||||
},
|
||||
"Body_handle_v2_same_name_to_v1_v2_to_v1_same_name_post": {
|
||||
"properties": {
|
||||
"item1": {
|
||||
"$ref": "#/components/schemas/tests__test_pydantic_v1_v2_multifile__modelsv2__Item-Input"
|
||||
},
|
||||
"item2": {
|
||||
"$ref": "#/components/schemas/tests__test_pydantic_v1_v2_multifile__modelsv2b__Item"
|
||||
},
|
||||
},
|
||||
"type": "object",
|
||||
"required": ["item1", "item2"],
|
||||
"title": "Body_handle_v2_same_name_to_v1_v2_to_v1_same_name_post",
|
||||
},
|
||||
"HTTPValidationError": {
|
||||
"properties": {
|
||||
"detail": {
|
||||
"items": {
|
||||
"$ref": "#/components/schemas/ValidationError"
|
||||
},
|
||||
"type": "object",
|
||||
"title": "HTTPValidationError",
|
||||
},
|
||||
"ValidationError": {
|
||||
"properties": {
|
||||
"loc": {
|
||||
"items": {
|
||||
"anyOf": [
|
||||
{"type": "string"},
|
||||
{"type": "integer"},
|
||||
]
|
||||
},
|
||||
"type": "array",
|
||||
"title": "Location",
|
||||
},
|
||||
"msg": {"type": "string", "title": "Message"},
|
||||
"type": {"type": "string", "title": "Error Type"},
|
||||
"type": "array",
|
||||
"title": "Detail",
|
||||
}
|
||||
},
|
||||
"type": "object",
|
||||
"title": "HTTPValidationError",
|
||||
},
|
||||
"ValidationError": {
|
||||
"properties": {
|
||||
"loc": {
|
||||
"items": {
|
||||
"anyOf": [
|
||||
{"type": "string"},
|
||||
{"type": "integer"},
|
||||
]
|
||||
},
|
||||
"type": "object",
|
||||
"required": ["loc", "msg", "type"],
|
||||
"title": "ValidationError",
|
||||
"type": "array",
|
||||
"title": "Location",
|
||||
},
|
||||
"tests__test_pydantic_v1_v2_multifile__modelsv1__Item": {
|
||||
"properties": {
|
||||
"title": {"type": "string", "title": "Title"},
|
||||
"size": {"type": "integer", "title": "Size"},
|
||||
"description": {
|
||||
"type": "string",
|
||||
"title": "Description",
|
||||
},
|
||||
"sub": {
|
||||
"$ref": "#/components/schemas/tests__test_pydantic_v1_v2_multifile__modelsv1__SubItem"
|
||||
},
|
||||
"multi": {
|
||||
"items": {
|
||||
"$ref": "#/components/schemas/tests__test_pydantic_v1_v2_multifile__modelsv1__SubItem"
|
||||
},
|
||||
"type": "array",
|
||||
"title": "Multi",
|
||||
"default": [],
|
||||
},
|
||||
"msg": {"type": "string", "title": "Message"},
|
||||
"type": {"type": "string", "title": "Error Type"},
|
||||
},
|
||||
"type": "object",
|
||||
"required": ["loc", "msg", "type"],
|
||||
"title": "ValidationError",
|
||||
},
|
||||
"tests__test_pydantic_v1_v2_multifile__modelsv1__Item": {
|
||||
"properties": {
|
||||
"title": {"type": "string", "title": "Title"},
|
||||
"size": {"type": "integer", "title": "Size"},
|
||||
"description": {
|
||||
"type": "string",
|
||||
"title": "Description",
|
||||
},
|
||||
"sub": {
|
||||
"$ref": "#/components/schemas/tests__test_pydantic_v1_v2_multifile__modelsv1__SubItem"
|
||||
},
|
||||
"multi": {
|
||||
"items": {
|
||||
"$ref": "#/components/schemas/tests__test_pydantic_v1_v2_multifile__modelsv1__SubItem"
|
||||
},
|
||||
"type": "object",
|
||||
"required": ["title", "size", "sub"],
|
||||
"title": "Item",
|
||||
"type": "array",
|
||||
"title": "Multi",
|
||||
"default": [],
|
||||
},
|
||||
"tests__test_pydantic_v1_v2_multifile__modelsv1__ItemInList": {
|
||||
"properties": {
|
||||
"name1": {"type": "string", "title": "Name1"}
|
||||
},
|
||||
"type": "object",
|
||||
"required": ["title", "size", "sub"],
|
||||
"title": "Item",
|
||||
},
|
||||
"tests__test_pydantic_v1_v2_multifile__modelsv1__ItemInList": {
|
||||
"properties": {"name1": {"type": "string", "title": "Name1"}},
|
||||
"type": "object",
|
||||
"required": ["name1"],
|
||||
"title": "ItemInList",
|
||||
},
|
||||
"tests__test_pydantic_v1_v2_multifile__modelsv1__SubItem": {
|
||||
"properties": {"name": {"type": "string", "title": "Name"}},
|
||||
"type": "object",
|
||||
"required": ["name"],
|
||||
"title": "SubItem",
|
||||
},
|
||||
"tests__test_pydantic_v1_v2_multifile__modelsv2__Item": {
|
||||
"properties": {
|
||||
"new_title": {
|
||||
"type": "string",
|
||||
"title": "New Title",
|
||||
},
|
||||
"new_size": {
|
||||
"type": "integer",
|
||||
"title": "New Size",
|
||||
},
|
||||
"new_description": {
|
||||
"anyOf": [{"type": "string"}, {"type": "null"}],
|
||||
"title": "New Description",
|
||||
},
|
||||
"new_sub": {
|
||||
"$ref": "#/components/schemas/tests__test_pydantic_v1_v2_multifile__modelsv2__SubItem"
|
||||
},
|
||||
"new_multi": {
|
||||
"items": {
|
||||
"$ref": "#/components/schemas/tests__test_pydantic_v1_v2_multifile__modelsv2__SubItem"
|
||||
},
|
||||
"type": "object",
|
||||
"required": ["name1"],
|
||||
"title": "ItemInList",
|
||||
"type": "array",
|
||||
"title": "New Multi",
|
||||
"default": [],
|
||||
},
|
||||
"tests__test_pydantic_v1_v2_multifile__modelsv1__SubItem": {
|
||||
"properties": {
|
||||
"name": {"type": "string", "title": "Name"}
|
||||
},
|
||||
"type": "object",
|
||||
"required": ["new_title", "new_size", "new_sub"],
|
||||
"title": "Item",
|
||||
},
|
||||
"tests__test_pydantic_v1_v2_multifile__modelsv2__Item-Input": {
|
||||
"properties": {
|
||||
"new_title": {
|
||||
"type": "string",
|
||||
"title": "New Title",
|
||||
},
|
||||
"new_size": {
|
||||
"type": "integer",
|
||||
"title": "New Size",
|
||||
},
|
||||
"new_description": {
|
||||
"anyOf": [{"type": "string"}, {"type": "null"}],
|
||||
"title": "New Description",
|
||||
},
|
||||
"new_sub": {
|
||||
"$ref": "#/components/schemas/tests__test_pydantic_v1_v2_multifile__modelsv2__SubItem"
|
||||
},
|
||||
"new_multi": {
|
||||
"items": {
|
||||
"$ref": "#/components/schemas/tests__test_pydantic_v1_v2_multifile__modelsv2__SubItem"
|
||||
},
|
||||
"type": "object",
|
||||
"required": ["name"],
|
||||
"title": "SubItem",
|
||||
"type": "array",
|
||||
"title": "New Multi",
|
||||
"default": [],
|
||||
},
|
||||
"tests__test_pydantic_v1_v2_multifile__modelsv2__Item": {
|
||||
"properties": {
|
||||
"new_title": {
|
||||
"type": "string",
|
||||
"title": "New Title",
|
||||
},
|
||||
"new_size": {
|
||||
"type": "integer",
|
||||
"title": "New Size",
|
||||
},
|
||||
"new_description": {
|
||||
"type": "string",
|
||||
"title": "New Description",
|
||||
},
|
||||
"new_sub": {
|
||||
"$ref": "#/components/schemas/tests__test_pydantic_v1_v2_multifile__modelsv2__SubItem"
|
||||
},
|
||||
"new_multi": {
|
||||
"items": {
|
||||
"$ref": "#/components/schemas/tests__test_pydantic_v1_v2_multifile__modelsv2__SubItem"
|
||||
},
|
||||
"type": "array",
|
||||
"title": "New Multi",
|
||||
"default": [],
|
||||
},
|
||||
},
|
||||
"type": "object",
|
||||
"required": ["new_title", "new_size", "new_sub"],
|
||||
"title": "Item",
|
||||
},
|
||||
"tests__test_pydantic_v1_v2_multifile__modelsv2__ItemInList": {
|
||||
"properties": {"name2": {"type": "string", "title": "Name2"}},
|
||||
"type": "object",
|
||||
"required": ["name2"],
|
||||
"title": "ItemInList",
|
||||
},
|
||||
"tests__test_pydantic_v1_v2_multifile__modelsv2__SubItem": {
|
||||
"properties": {
|
||||
"new_sub_name": {
|
||||
"type": "string",
|
||||
"title": "New Sub Name",
|
||||
}
|
||||
},
|
||||
"type": "object",
|
||||
"required": ["new_sub_name"],
|
||||
"title": "SubItem",
|
||||
},
|
||||
"tests__test_pydantic_v1_v2_multifile__modelsv2b__Item": {
|
||||
"properties": {
|
||||
"dup_title": {
|
||||
"type": "string",
|
||||
"title": "Dup Title",
|
||||
},
|
||||
"dup_size": {
|
||||
"type": "integer",
|
||||
"title": "Dup Size",
|
||||
},
|
||||
"dup_description": {
|
||||
"anyOf": [{"type": "string"}, {"type": "null"}],
|
||||
"title": "Dup Description",
|
||||
},
|
||||
"dup_sub": {
|
||||
"$ref": "#/components/schemas/tests__test_pydantic_v1_v2_multifile__modelsv2b__SubItem"
|
||||
},
|
||||
"dup_multi": {
|
||||
"items": {
|
||||
"$ref": "#/components/schemas/tests__test_pydantic_v1_v2_multifile__modelsv2b__SubItem"
|
||||
},
|
||||
"type": "object",
|
||||
"required": ["new_title", "new_size", "new_sub"],
|
||||
"title": "Item",
|
||||
"type": "array",
|
||||
"title": "Dup Multi",
|
||||
"default": [],
|
||||
},
|
||||
"tests__test_pydantic_v1_v2_multifile__modelsv2__ItemInList": {
|
||||
"properties": {
|
||||
"name2": {"type": "string", "title": "Name2"}
|
||||
},
|
||||
"type": "object",
|
||||
"required": ["name2"],
|
||||
"title": "ItemInList",
|
||||
},
|
||||
"tests__test_pydantic_v1_v2_multifile__modelsv2__SubItem": {
|
||||
"properties": {
|
||||
"new_sub_name": {
|
||||
"type": "string",
|
||||
"title": "New Sub Name",
|
||||
}
|
||||
},
|
||||
"type": "object",
|
||||
"required": ["new_sub_name"],
|
||||
"title": "SubItem",
|
||||
},
|
||||
"tests__test_pydantic_v1_v2_multifile__modelsv2b__Item": {
|
||||
"properties": {
|
||||
"dup_title": {
|
||||
"type": "string",
|
||||
"title": "Dup Title",
|
||||
},
|
||||
"dup_size": {
|
||||
"type": "integer",
|
||||
"title": "Dup Size",
|
||||
},
|
||||
"dup_description": {
|
||||
"type": "string",
|
||||
"title": "Dup Description",
|
||||
},
|
||||
"dup_sub": {
|
||||
"$ref": "#/components/schemas/tests__test_pydantic_v1_v2_multifile__modelsv2b__SubItem"
|
||||
},
|
||||
"dup_multi": {
|
||||
"items": {
|
||||
"$ref": "#/components/schemas/tests__test_pydantic_v1_v2_multifile__modelsv2b__SubItem"
|
||||
},
|
||||
"type": "array",
|
||||
"title": "Dup Multi",
|
||||
"default": [],
|
||||
},
|
||||
},
|
||||
"type": "object",
|
||||
"required": ["dup_title", "dup_size", "dup_sub"],
|
||||
"title": "Item",
|
||||
},
|
||||
"tests__test_pydantic_v1_v2_multifile__modelsv2b__ItemInList": {
|
||||
"properties": {
|
||||
"dup_name2": {
|
||||
"type": "string",
|
||||
"title": "Dup Name2",
|
||||
}
|
||||
},
|
||||
"type": "object",
|
||||
"required": ["dup_name2"],
|
||||
"title": "ItemInList",
|
||||
},
|
||||
"tests__test_pydantic_v1_v2_multifile__modelsv2b__SubItem": {
|
||||
"properties": {
|
||||
"dup_sub_name": {
|
||||
"type": "string",
|
||||
"title": "Dup Sub Name",
|
||||
}
|
||||
},
|
||||
"type": "object",
|
||||
"required": ["dup_sub_name"],
|
||||
"title": "SubItem",
|
||||
},
|
||||
}
|
||||
),
|
||||
v2=snapshot(
|
||||
{
|
||||
"Body_handle_v2_items_in_list_to_v1_item_in_list_v2_to_v1_list_of_items_to_list_of_items_post": {
|
||||
"properties": {
|
||||
"data1": {
|
||||
"items": {
|
||||
"$ref": "#/components/schemas/tests__test_pydantic_v1_v2_multifile__modelsv2__ItemInList"
|
||||
},
|
||||
"type": "array",
|
||||
"title": "Data1",
|
||||
},
|
||||
"data2": {
|
||||
"items": {
|
||||
"$ref": "#/components/schemas/tests__test_pydantic_v1_v2_multifile__modelsv2b__ItemInList"
|
||||
},
|
||||
"type": "array",
|
||||
"title": "Data2",
|
||||
},
|
||||
},
|
||||
"type": "object",
|
||||
"required": ["data1", "data2"],
|
||||
"title": "Body_handle_v2_items_in_list_to_v1_item_in_list_v2_to_v1_list_of_items_to_list_of_items_post",
|
||||
},
|
||||
"Body_handle_v2_same_name_to_v1_v2_to_v1_same_name_post": {
|
||||
"properties": {
|
||||
"item1": {
|
||||
"$ref": "#/components/schemas/tests__test_pydantic_v1_v2_multifile__modelsv2__Item-Input"
|
||||
},
|
||||
"item2": {
|
||||
"$ref": "#/components/schemas/tests__test_pydantic_v1_v2_multifile__modelsv2b__Item"
|
||||
},
|
||||
},
|
||||
"type": "object",
|
||||
"required": ["item1", "item2"],
|
||||
"title": "Body_handle_v2_same_name_to_v1_v2_to_v1_same_name_post",
|
||||
},
|
||||
"HTTPValidationError": {
|
||||
"properties": {
|
||||
"detail": {
|
||||
"items": {
|
||||
"$ref": "#/components/schemas/ValidationError"
|
||||
},
|
||||
"type": "array",
|
||||
"title": "Detail",
|
||||
}
|
||||
},
|
||||
"type": "object",
|
||||
"title": "HTTPValidationError",
|
||||
},
|
||||
"ValidationError": {
|
||||
"properties": {
|
||||
"loc": {
|
||||
"items": {
|
||||
"anyOf": [
|
||||
{"type": "string"},
|
||||
{"type": "integer"},
|
||||
]
|
||||
},
|
||||
"type": "array",
|
||||
"title": "Location",
|
||||
},
|
||||
"msg": {"type": "string", "title": "Message"},
|
||||
"type": {"type": "string", "title": "Error Type"},
|
||||
},
|
||||
"type": "object",
|
||||
"required": ["loc", "msg", "type"],
|
||||
"title": "ValidationError",
|
||||
},
|
||||
"tests__test_pydantic_v1_v2_multifile__modelsv1__Item": {
|
||||
"properties": {
|
||||
"title": {"type": "string", "title": "Title"},
|
||||
"size": {"type": "integer", "title": "Size"},
|
||||
"description": {
|
||||
"type": "string",
|
||||
"title": "Description",
|
||||
},
|
||||
"sub": {
|
||||
"$ref": "#/components/schemas/tests__test_pydantic_v1_v2_multifile__modelsv1__SubItem"
|
||||
},
|
||||
"multi": {
|
||||
"items": {
|
||||
"$ref": "#/components/schemas/tests__test_pydantic_v1_v2_multifile__modelsv1__SubItem"
|
||||
},
|
||||
"type": "array",
|
||||
"title": "Multi",
|
||||
"default": [],
|
||||
},
|
||||
},
|
||||
"type": "object",
|
||||
"required": ["title", "size", "sub"],
|
||||
"title": "Item",
|
||||
},
|
||||
"tests__test_pydantic_v1_v2_multifile__modelsv1__ItemInList": {
|
||||
"properties": {
|
||||
"name1": {"type": "string", "title": "Name1"}
|
||||
},
|
||||
"type": "object",
|
||||
"required": ["name1"],
|
||||
"title": "ItemInList",
|
||||
},
|
||||
"tests__test_pydantic_v1_v2_multifile__modelsv1__SubItem": {
|
||||
"properties": {
|
||||
"name": {"type": "string", "title": "Name"}
|
||||
},
|
||||
"type": "object",
|
||||
"required": ["name"],
|
||||
"title": "SubItem",
|
||||
},
|
||||
"tests__test_pydantic_v1_v2_multifile__modelsv2__Item": {
|
||||
"properties": {
|
||||
"new_title": {
|
||||
"type": "string",
|
||||
"title": "New Title",
|
||||
},
|
||||
"new_size": {
|
||||
"type": "integer",
|
||||
"title": "New Size",
|
||||
},
|
||||
"new_description": {
|
||||
"anyOf": [{"type": "string"}, {"type": "null"}],
|
||||
"title": "New Description",
|
||||
},
|
||||
"new_sub": {
|
||||
"$ref": "#/components/schemas/tests__test_pydantic_v1_v2_multifile__modelsv2__SubItem"
|
||||
},
|
||||
"new_multi": {
|
||||
"items": {
|
||||
"$ref": "#/components/schemas/tests__test_pydantic_v1_v2_multifile__modelsv2__SubItem"
|
||||
},
|
||||
"type": "array",
|
||||
"title": "New Multi",
|
||||
"default": [],
|
||||
},
|
||||
},
|
||||
"type": "object",
|
||||
"required": ["new_title", "new_size", "new_sub"],
|
||||
"title": "Item",
|
||||
},
|
||||
"tests__test_pydantic_v1_v2_multifile__modelsv2__Item-Input": {
|
||||
"properties": {
|
||||
"new_title": {
|
||||
"type": "string",
|
||||
"title": "New Title",
|
||||
},
|
||||
"new_size": {
|
||||
"type": "integer",
|
||||
"title": "New Size",
|
||||
},
|
||||
"new_description": {
|
||||
"anyOf": [{"type": "string"}, {"type": "null"}],
|
||||
"title": "New Description",
|
||||
},
|
||||
"new_sub": {
|
||||
"$ref": "#/components/schemas/tests__test_pydantic_v1_v2_multifile__modelsv2__SubItem"
|
||||
},
|
||||
"new_multi": {
|
||||
"items": {
|
||||
"$ref": "#/components/schemas/tests__test_pydantic_v1_v2_multifile__modelsv2__SubItem"
|
||||
},
|
||||
"type": "array",
|
||||
"title": "New Multi",
|
||||
"default": [],
|
||||
},
|
||||
},
|
||||
"type": "object",
|
||||
"required": ["new_title", "new_size", "new_sub"],
|
||||
"title": "Item",
|
||||
},
|
||||
"tests__test_pydantic_v1_v2_multifile__modelsv2__ItemInList": {
|
||||
"properties": {
|
||||
"name2": {"type": "string", "title": "Name2"}
|
||||
},
|
||||
"type": "object",
|
||||
"required": ["name2"],
|
||||
"title": "ItemInList",
|
||||
},
|
||||
"tests__test_pydantic_v1_v2_multifile__modelsv2__SubItem": {
|
||||
"properties": {
|
||||
"new_sub_name": {
|
||||
"type": "string",
|
||||
"title": "New Sub Name",
|
||||
}
|
||||
},
|
||||
"type": "object",
|
||||
"required": ["new_sub_name"],
|
||||
"title": "SubItem",
|
||||
},
|
||||
"tests__test_pydantic_v1_v2_multifile__modelsv2b__Item": {
|
||||
"properties": {
|
||||
"dup_title": {
|
||||
"type": "string",
|
||||
"title": "Dup Title",
|
||||
},
|
||||
"dup_size": {
|
||||
"type": "integer",
|
||||
"title": "Dup Size",
|
||||
},
|
||||
"dup_description": {
|
||||
"anyOf": [{"type": "string"}, {"type": "null"}],
|
||||
"title": "Dup Description",
|
||||
},
|
||||
"dup_sub": {
|
||||
"$ref": "#/components/schemas/tests__test_pydantic_v1_v2_multifile__modelsv2b__SubItem"
|
||||
},
|
||||
"dup_multi": {
|
||||
"items": {
|
||||
"$ref": "#/components/schemas/tests__test_pydantic_v1_v2_multifile__modelsv2b__SubItem"
|
||||
},
|
||||
"type": "array",
|
||||
"title": "Dup Multi",
|
||||
"default": [],
|
||||
},
|
||||
},
|
||||
"type": "object",
|
||||
"required": ["dup_title", "dup_size", "dup_sub"],
|
||||
"title": "Item",
|
||||
},
|
||||
"tests__test_pydantic_v1_v2_multifile__modelsv2b__ItemInList": {
|
||||
"properties": {
|
||||
"dup_name2": {
|
||||
"type": "string",
|
||||
"title": "Dup Name2",
|
||||
}
|
||||
},
|
||||
"type": "object",
|
||||
"required": ["dup_name2"],
|
||||
"title": "ItemInList",
|
||||
},
|
||||
"tests__test_pydantic_v1_v2_multifile__modelsv2b__SubItem": {
|
||||
"properties": {
|
||||
"dup_sub_name": {
|
||||
"type": "string",
|
||||
"title": "Dup Sub Name",
|
||||
}
|
||||
},
|
||||
"type": "object",
|
||||
"required": ["dup_sub_name"],
|
||||
"title": "SubItem",
|
||||
},
|
||||
}
|
||||
),
|
||||
),
|
||||
},
|
||||
"type": "object",
|
||||
"required": ["dup_title", "dup_size", "dup_sub"],
|
||||
"title": "Item",
|
||||
},
|
||||
"tests__test_pydantic_v1_v2_multifile__modelsv2b__ItemInList": {
|
||||
"properties": {
|
||||
"dup_name2": {
|
||||
"type": "string",
|
||||
"title": "Dup Name2",
|
||||
}
|
||||
},
|
||||
"type": "object",
|
||||
"required": ["dup_name2"],
|
||||
"title": "ItemInList",
|
||||
},
|
||||
"tests__test_pydantic_v1_v2_multifile__modelsv2b__SubItem": {
|
||||
"properties": {
|
||||
"dup_sub_name": {
|
||||
"type": "string",
|
||||
"title": "Dup Sub Name",
|
||||
}
|
||||
},
|
||||
"type": "object",
|
||||
"required": ["dup_sub_name"],
|
||||
"title": "SubItem",
|
||||
},
|
||||
},
|
||||
},
|
||||
}
|
||||
)
|
||||
|
||||
@@ -1,7 +1,7 @@
|
||||
import sys
|
||||
from typing import Any, Union
|
||||
|
||||
from tests.utils import pydantic_snapshot, skip_module_if_py_gte_314
|
||||
from tests.utils import skip_module_if_py_gte_314
|
||||
|
||||
if sys.version_info >= (3, 14):
|
||||
skip_module_if_py_gte_314()
|
||||
@@ -312,38 +312,20 @@ def test_v2_to_v1_validation_error():
|
||||
assert response.status_code == 422, response.text
|
||||
assert response.json() == snapshot(
|
||||
{
|
||||
"detail": pydantic_snapshot(
|
||||
v2=snapshot(
|
||||
[
|
||||
{
|
||||
"type": "missing",
|
||||
"loc": ["body", "new_size"],
|
||||
"msg": "Field required",
|
||||
"input": {"new_title": "Missing fields"},
|
||||
},
|
||||
{
|
||||
"type": "missing",
|
||||
"loc": ["body", "new_sub"],
|
||||
"msg": "Field required",
|
||||
"input": {"new_title": "Missing fields"},
|
||||
},
|
||||
]
|
||||
),
|
||||
v1=snapshot(
|
||||
[
|
||||
{
|
||||
"loc": ["body", "new_size"],
|
||||
"msg": "field required",
|
||||
"type": "value_error.missing",
|
||||
},
|
||||
{
|
||||
"loc": ["body", "new_sub"],
|
||||
"msg": "field required",
|
||||
"type": "value_error.missing",
|
||||
},
|
||||
]
|
||||
),
|
||||
)
|
||||
"detail": [
|
||||
{
|
||||
"type": "missing",
|
||||
"loc": ["body", "new_size"],
|
||||
"msg": "Field required",
|
||||
"input": {"new_title": "Missing fields"},
|
||||
},
|
||||
{
|
||||
"type": "missing",
|
||||
"loc": ["body", "new_sub"],
|
||||
"msg": "Field required",
|
||||
"input": {"new_title": "Missing fields"},
|
||||
},
|
||||
]
|
||||
}
|
||||
)
|
||||
|
||||
@@ -361,23 +343,12 @@ def test_v2_to_v1_nested_validation_error():
|
||||
assert response.json() == snapshot(
|
||||
{
|
||||
"detail": [
|
||||
pydantic_snapshot(
|
||||
v2=snapshot(
|
||||
{
|
||||
"type": "missing",
|
||||
"loc": ["body", "new_sub", "new_sub_name"],
|
||||
"msg": "Field required",
|
||||
"input": {"wrong_field": "value"},
|
||||
}
|
||||
),
|
||||
v1=snapshot(
|
||||
{
|
||||
"loc": ["body", "new_sub", "new_sub_name"],
|
||||
"msg": "field required",
|
||||
"type": "value_error.missing",
|
||||
}
|
||||
),
|
||||
)
|
||||
{
|
||||
"type": "missing",
|
||||
"loc": ["body", "new_sub", "new_sub_name"],
|
||||
"msg": "Field required",
|
||||
"input": {"wrong_field": "value"},
|
||||
}
|
||||
]
|
||||
}
|
||||
)
|
||||
@@ -396,23 +367,12 @@ def test_v2_to_v1_type_validation_error():
|
||||
assert response.json() == snapshot(
|
||||
{
|
||||
"detail": [
|
||||
pydantic_snapshot(
|
||||
v2=snapshot(
|
||||
{
|
||||
"type": "int_parsing",
|
||||
"loc": ["body", "new_size"],
|
||||
"msg": "Input should be a valid integer, unable to parse string as an integer",
|
||||
"input": "not_a_number",
|
||||
}
|
||||
),
|
||||
v1=snapshot(
|
||||
{
|
||||
"loc": ["body", "new_size"],
|
||||
"msg": "value is not a valid integer",
|
||||
"type": "type_error.integer",
|
||||
}
|
||||
),
|
||||
)
|
||||
{
|
||||
"type": "int_parsing",
|
||||
"loc": ["body", "new_size"],
|
||||
"msg": "Input should be a valid integer, unable to parse string as an integer",
|
||||
"input": "not_a_number",
|
||||
}
|
||||
]
|
||||
}
|
||||
)
|
||||
@@ -483,21 +443,12 @@ def test_openapi_schema():
|
||||
"requestBody": {
|
||||
"content": {
|
||||
"application/json": {
|
||||
"schema": pydantic_snapshot(
|
||||
v2=snapshot(
|
||||
{
|
||||
"allOf": [
|
||||
{
|
||||
"$ref": "#/components/schemas/Item"
|
||||
}
|
||||
],
|
||||
"title": "Data",
|
||||
}
|
||||
),
|
||||
v1=snapshot(
|
||||
"schema": {
|
||||
"allOf": [
|
||||
{"$ref": "#/components/schemas/Item"}
|
||||
),
|
||||
)
|
||||
],
|
||||
"title": "Data",
|
||||
}
|
||||
}
|
||||
},
|
||||
"required": True,
|
||||
@@ -507,22 +458,15 @@ def test_openapi_schema():
|
||||
"description": "Successful Response",
|
||||
"content": {
|
||||
"application/json": {
|
||||
"schema": pydantic_snapshot(
|
||||
v2=snapshot(
|
||||
"schema": {
|
||||
"anyOf": [
|
||||
{
|
||||
"anyOf": [
|
||||
{
|
||||
"$ref": "#/components/schemas/NewItem"
|
||||
},
|
||||
{"type": "null"},
|
||||
],
|
||||
"title": "Response Handle V1 Item To V2 V1 To V2 Post",
|
||||
}
|
||||
),
|
||||
v1=snapshot(
|
||||
{"$ref": "#/components/schemas/NewItem"}
|
||||
),
|
||||
)
|
||||
"$ref": "#/components/schemas/NewItem"
|
||||
},
|
||||
{"type": "null"},
|
||||
],
|
||||
"title": "Response Handle V1 Item To V2 V1 To V2 Post",
|
||||
}
|
||||
}
|
||||
},
|
||||
},
|
||||
@@ -546,21 +490,12 @@ def test_openapi_schema():
|
||||
"requestBody": {
|
||||
"content": {
|
||||
"application/json": {
|
||||
"schema": pydantic_snapshot(
|
||||
v2=snapshot(
|
||||
{
|
||||
"allOf": [
|
||||
{
|
||||
"$ref": "#/components/schemas/Item"
|
||||
}
|
||||
],
|
||||
"title": "Data",
|
||||
}
|
||||
),
|
||||
v1=snapshot(
|
||||
"schema": {
|
||||
"allOf": [
|
||||
{"$ref": "#/components/schemas/Item"}
|
||||
),
|
||||
)
|
||||
],
|
||||
"title": "Data",
|
||||
}
|
||||
}
|
||||
},
|
||||
"required": True,
|
||||
@@ -570,22 +505,15 @@ def test_openapi_schema():
|
||||
"description": "Successful Response",
|
||||
"content": {
|
||||
"application/json": {
|
||||
"schema": pydantic_snapshot(
|
||||
v2=snapshot(
|
||||
"schema": {
|
||||
"anyOf": [
|
||||
{
|
||||
"anyOf": [
|
||||
{
|
||||
"$ref": "#/components/schemas/NewItem"
|
||||
},
|
||||
{"type": "null"},
|
||||
],
|
||||
"title": "Response Handle V1 Item To V2 Filter V1 To V2 Item Filter Post",
|
||||
}
|
||||
),
|
||||
v1=snapshot(
|
||||
{"$ref": "#/components/schemas/NewItem"}
|
||||
),
|
||||
)
|
||||
"$ref": "#/components/schemas/NewItem"
|
||||
},
|
||||
{"type": "null"},
|
||||
],
|
||||
"title": "Response Handle V1 Item To V2 Filter V1 To V2 Item Filter Post",
|
||||
}
|
||||
}
|
||||
},
|
||||
},
|
||||
@@ -707,17 +635,10 @@ def test_openapi_schema():
|
||||
"properties": {
|
||||
"new_title": {"type": "string", "title": "New Title"},
|
||||
"new_size": {"type": "integer", "title": "New Size"},
|
||||
"new_description": pydantic_snapshot(
|
||||
v2=snapshot(
|
||||
{
|
||||
"anyOf": [{"type": "string"}, {"type": "null"}],
|
||||
"title": "New Description",
|
||||
}
|
||||
),
|
||||
v1=snapshot(
|
||||
{"type": "string", "title": "New Description"}
|
||||
),
|
||||
),
|
||||
"new_description": {
|
||||
"anyOf": [{"type": "string"}, {"type": "null"}],
|
||||
"title": "New Description",
|
||||
},
|
||||
"new_sub": {"$ref": "#/components/schemas/NewSubItem"},
|
||||
"new_multi": {
|
||||
"items": {"$ref": "#/components/schemas/NewSubItem"},
|
||||
|
||||
@@ -1,5 +1,4 @@
|
||||
from fastapi import Cookie, FastAPI, Header, Query
|
||||
from fastapi._compat import PYDANTIC_V2
|
||||
from fastapi.testclient import TestClient
|
||||
from pydantic import BaseModel
|
||||
|
||||
@@ -9,12 +8,7 @@ app = FastAPI()
|
||||
class Model(BaseModel):
|
||||
param: str
|
||||
|
||||
if PYDANTIC_V2:
|
||||
model_config = {"extra": "allow"}
|
||||
else:
|
||||
|
||||
class Config:
|
||||
extra = "allow"
|
||||
model_config = {"extra": "allow"}
|
||||
|
||||
|
||||
@app.get("/query")
|
||||
|
||||
@@ -4,10 +4,9 @@ from fastapi import FastAPI
|
||||
from fastapi.testclient import TestClient
|
||||
from pydantic import BaseModel, ConfigDict
|
||||
|
||||
from .utils import needs_pydanticv1, needs_pydanticv2
|
||||
from .utils import needs_pydanticv1
|
||||
|
||||
|
||||
@needs_pydanticv2
|
||||
def test_read_with_orm_mode() -> None:
|
||||
class PersonBase(BaseModel):
|
||||
name: str
|
||||
@@ -48,7 +47,9 @@ def test_read_with_orm_mode() -> None:
|
||||
|
||||
@needs_pydanticv1
|
||||
def test_read_with_orm_mode_pv1() -> None:
|
||||
class PersonBase(BaseModel):
|
||||
from pydantic import v1
|
||||
|
||||
class PersonBase(v1.BaseModel):
|
||||
name: str
|
||||
lastname: str
|
||||
|
||||
|
||||
@@ -1,6 +1,5 @@
|
||||
from dirty_equals import IsPartialDict
|
||||
from fastapi import Cookie, FastAPI, Header, Query
|
||||
from fastapi._compat import PYDANTIC_V2
|
||||
from fastapi.testclient import TestClient
|
||||
from pydantic import BaseModel, Field
|
||||
|
||||
@@ -53,8 +52,7 @@ def test_query_model_with_alias_by_name():
|
||||
response = client.get("/query", params={"param": "value"})
|
||||
assert response.status_code == 422, response.text
|
||||
details = response.json()
|
||||
if PYDANTIC_V2:
|
||||
assert details["detail"][0]["input"] == {"param": "value"}
|
||||
assert details["detail"][0]["input"] == {"param": "value"}
|
||||
|
||||
|
||||
def test_header_model_with_alias_by_name():
|
||||
@@ -62,8 +60,7 @@ def test_header_model_with_alias_by_name():
|
||||
response = client.get("/header", headers={"param": "value"})
|
||||
assert response.status_code == 422, response.text
|
||||
details = response.json()
|
||||
if PYDANTIC_V2:
|
||||
assert details["detail"][0]["input"] == IsPartialDict({"param": "value"})
|
||||
assert details["detail"][0]["input"] == IsPartialDict({"param": "value"})
|
||||
|
||||
|
||||
def test_cookie_model_with_alias_by_name():
|
||||
@@ -72,5 +69,4 @@ def test_cookie_model_with_alias_by_name():
|
||||
response = client.get("/cookie")
|
||||
assert response.status_code == 422, response.text
|
||||
details = response.json()
|
||||
if PYDANTIC_V2:
|
||||
assert details["detail"][0]["input"] == {"param": "value"}
|
||||
assert details["detail"][0]["input"] == {"param": "value"}
|
||||
|
||||
@@ -6,8 +6,6 @@ from fastapi import Body, FastAPI
|
||||
from fastapi.testclient import TestClient
|
||||
from pydantic import BaseModel, Field
|
||||
|
||||
from tests.utils import needs_pydanticv2
|
||||
|
||||
from .utils import get_body_model_name
|
||||
|
||||
app = FastAPI()
|
||||
@@ -246,7 +244,6 @@ async def read_model_required_list_validation_alias(
|
||||
return {"p": p.p}
|
||||
|
||||
|
||||
@needs_pydanticv2
|
||||
@pytest.mark.parametrize(
|
||||
"path",
|
||||
["/required-list-validation-alias", "/model-required-list-validation-alias"],
|
||||
@@ -269,7 +266,6 @@ def test_required_list_validation_alias_schema(path: str):
|
||||
}
|
||||
|
||||
|
||||
@needs_pydanticv2
|
||||
@pytest.mark.parametrize("json", [None, {}])
|
||||
@pytest.mark.parametrize(
|
||||
"path",
|
||||
@@ -294,7 +290,6 @@ def test_required_list_validation_alias_missing(path: str, json: Union[dict, Non
|
||||
}
|
||||
|
||||
|
||||
@needs_pydanticv2
|
||||
@pytest.mark.parametrize(
|
||||
"path",
|
||||
[
|
||||
@@ -319,7 +314,6 @@ def test_required_list_validation_alias_by_name(path: str):
|
||||
}
|
||||
|
||||
|
||||
@needs_pydanticv2
|
||||
@pytest.mark.parametrize(
|
||||
"path",
|
||||
[
|
||||
@@ -364,7 +358,6 @@ def read_model_required_list_alias_and_validation_alias(
|
||||
return {"p": p.p}
|
||||
|
||||
|
||||
@needs_pydanticv2
|
||||
@pytest.mark.parametrize(
|
||||
"path",
|
||||
[
|
||||
@@ -390,7 +383,6 @@ def test_required_list_alias_and_validation_alias_schema(path: str):
|
||||
}
|
||||
|
||||
|
||||
@needs_pydanticv2
|
||||
@pytest.mark.parametrize("json", [None, {}])
|
||||
@pytest.mark.parametrize(
|
||||
"path",
|
||||
@@ -415,7 +407,6 @@ def test_required_list_alias_and_validation_alias_missing(path: str, json):
|
||||
}
|
||||
|
||||
|
||||
@needs_pydanticv2
|
||||
@pytest.mark.parametrize(
|
||||
"path",
|
||||
[
|
||||
@@ -442,7 +433,6 @@ def test_required_list_alias_and_validation_alias_by_name(path: str):
|
||||
}
|
||||
|
||||
|
||||
@needs_pydanticv2
|
||||
@pytest.mark.parametrize(
|
||||
"path",
|
||||
[
|
||||
@@ -467,7 +457,6 @@ def test_required_list_alias_and_validation_alias_by_alias(path: str):
|
||||
}
|
||||
|
||||
|
||||
@needs_pydanticv2
|
||||
@pytest.mark.parametrize(
|
||||
"path",
|
||||
[
|
||||
|
||||
@@ -6,8 +6,6 @@ from fastapi import Body, FastAPI
|
||||
from fastapi.testclient import TestClient
|
||||
from pydantic import BaseModel, Field
|
||||
|
||||
from tests.utils import needs_pydanticv2
|
||||
|
||||
from .utils import get_body_model_name
|
||||
|
||||
app = FastAPI()
|
||||
@@ -283,7 +281,6 @@ def read_model_optional_list_validation_alias(
|
||||
return {"p": p.p}
|
||||
|
||||
|
||||
@needs_pydanticv2
|
||||
@pytest.mark.parametrize(
|
||||
"path",
|
||||
["/optional-list-validation-alias", "/model-optional-list-validation-alias"],
|
||||
@@ -369,7 +366,6 @@ def test_optional_list_validation_alias_missing_empty_dict(path: str):
|
||||
assert response.json() == {"p": None}
|
||||
|
||||
|
||||
@needs_pydanticv2
|
||||
@pytest.mark.parametrize(
|
||||
"path",
|
||||
[
|
||||
@@ -384,7 +380,6 @@ def test_optional_list_validation_alias_by_name(path: str):
|
||||
assert response.json() == {"p": None}
|
||||
|
||||
|
||||
@needs_pydanticv2
|
||||
@pytest.mark.parametrize(
|
||||
"path",
|
||||
[
|
||||
@@ -432,7 +427,6 @@ def read_model_optional_list_alias_and_validation_alias(
|
||||
return {"p": p.p}
|
||||
|
||||
|
||||
@needs_pydanticv2
|
||||
@pytest.mark.parametrize(
|
||||
"path",
|
||||
[
|
||||
@@ -524,7 +518,6 @@ def test_optional_list_alias_and_validation_alias_missing_empty_dict(path: str):
|
||||
assert response.json() == {"p": None}
|
||||
|
||||
|
||||
@needs_pydanticv2
|
||||
@pytest.mark.parametrize(
|
||||
"path",
|
||||
[
|
||||
@@ -539,7 +532,6 @@ def test_optional_list_alias_and_validation_alias_by_name(path: str):
|
||||
assert response.json() == {"p": None}
|
||||
|
||||
|
||||
@needs_pydanticv2
|
||||
@pytest.mark.parametrize(
|
||||
"path",
|
||||
[
|
||||
@@ -554,7 +546,6 @@ def test_optional_list_alias_and_validation_alias_by_alias(path: str):
|
||||
assert response.json() == {"p": None}
|
||||
|
||||
|
||||
@needs_pydanticv2
|
||||
@pytest.mark.parametrize(
|
||||
"path",
|
||||
[
|
||||
|
||||
@@ -6,8 +6,6 @@ from fastapi import Body, FastAPI
|
||||
from fastapi.testclient import TestClient
|
||||
from pydantic import BaseModel, Field
|
||||
|
||||
from tests.utils import needs_pydanticv2
|
||||
|
||||
from .utils import get_body_model_name
|
||||
|
||||
app = FastAPI()
|
||||
@@ -268,7 +266,6 @@ def read_model_optional_validation_alias(
|
||||
return {"p": p.p}
|
||||
|
||||
|
||||
@needs_pydanticv2
|
||||
@pytest.mark.parametrize(
|
||||
"path",
|
||||
["/optional-validation-alias", "/model-optional-validation-alias"],
|
||||
@@ -300,7 +297,6 @@ def test_optional_validation_alias_schema(path: str):
|
||||
)
|
||||
|
||||
|
||||
@needs_pydanticv2
|
||||
def test_optional_validation_alias_missing():
|
||||
client = TestClient(app)
|
||||
response = client.post("/optional-validation-alias")
|
||||
@@ -308,7 +304,6 @@ def test_optional_validation_alias_missing():
|
||||
assert response.json() == {"p": None}
|
||||
|
||||
|
||||
@needs_pydanticv2
|
||||
def test_model_optional_validation_alias_missing():
|
||||
client = TestClient(app)
|
||||
response = client.post("/model-optional-validation-alias")
|
||||
@@ -338,7 +333,6 @@ def test_model_optional_validation_alias_missing():
|
||||
)
|
||||
|
||||
|
||||
@needs_pydanticv2
|
||||
@pytest.mark.parametrize(
|
||||
"path",
|
||||
["/optional-validation-alias", "/model-optional-validation-alias"],
|
||||
@@ -350,7 +344,6 @@ def test_model_optional_validation_alias_missing_empty_dict(path: str):
|
||||
assert response.json() == {"p": None}
|
||||
|
||||
|
||||
@needs_pydanticv2
|
||||
@pytest.mark.parametrize(
|
||||
"path",
|
||||
[
|
||||
@@ -365,7 +358,6 @@ def test_optional_validation_alias_by_name(path: str):
|
||||
assert response.json() == {"p": None}
|
||||
|
||||
|
||||
@needs_pydanticv2
|
||||
@pytest.mark.parametrize(
|
||||
"path",
|
||||
[
|
||||
@@ -410,7 +402,6 @@ def read_model_optional_alias_and_validation_alias(
|
||||
return {"p": p.p}
|
||||
|
||||
|
||||
@needs_pydanticv2
|
||||
@pytest.mark.parametrize(
|
||||
"path",
|
||||
[
|
||||
@@ -445,7 +436,6 @@ def test_optional_alias_and_validation_alias_schema(path: str):
|
||||
)
|
||||
|
||||
|
||||
@needs_pydanticv2
|
||||
def test_optional_alias_and_validation_alias_missing():
|
||||
client = TestClient(app)
|
||||
response = client.post("/optional-alias-and-validation-alias")
|
||||
@@ -453,7 +443,6 @@ def test_optional_alias_and_validation_alias_missing():
|
||||
assert response.json() == {"p": None}
|
||||
|
||||
|
||||
@needs_pydanticv2
|
||||
def test_model_optional_alias_and_validation_alias_missing():
|
||||
client = TestClient(app)
|
||||
response = client.post("/model-optional-alias-and-validation-alias")
|
||||
@@ -483,7 +472,6 @@ def test_model_optional_alias_and_validation_alias_missing():
|
||||
)
|
||||
|
||||
|
||||
@needs_pydanticv2
|
||||
@pytest.mark.parametrize(
|
||||
"path",
|
||||
[
|
||||
@@ -498,7 +486,6 @@ def test_model_optional_alias_and_validation_alias_missing_empty_dict(path: str)
|
||||
assert response.json() == {"p": None}
|
||||
|
||||
|
||||
@needs_pydanticv2
|
||||
@pytest.mark.parametrize(
|
||||
"path",
|
||||
[
|
||||
@@ -513,7 +500,6 @@ def test_optional_alias_and_validation_alias_by_name(path: str):
|
||||
assert response.json() == {"p": None}
|
||||
|
||||
|
||||
@needs_pydanticv2
|
||||
@pytest.mark.parametrize(
|
||||
"path",
|
||||
[
|
||||
@@ -528,7 +514,6 @@ def test_optional_alias_and_validation_alias_by_alias(path: str):
|
||||
assert response.json() == {"p": None}
|
||||
|
||||
|
||||
@needs_pydanticv2
|
||||
@pytest.mark.parametrize(
|
||||
"path",
|
||||
[
|
||||
|
||||
@@ -6,8 +6,6 @@ from fastapi import Body, FastAPI
|
||||
from fastapi.testclient import TestClient
|
||||
from pydantic import BaseModel, Field
|
||||
|
||||
from tests.utils import needs_pydanticv2
|
||||
|
||||
from .utils import get_body_model_name
|
||||
|
||||
app = FastAPI()
|
||||
@@ -236,7 +234,6 @@ def read_model_required_validation_alias(
|
||||
return {"p": p.p}
|
||||
|
||||
|
||||
@needs_pydanticv2
|
||||
@pytest.mark.parametrize(
|
||||
"path",
|
||||
["/required-validation-alias", "/model-required-validation-alias"],
|
||||
@@ -255,7 +252,6 @@ def test_required_validation_alias_schema(path: str):
|
||||
}
|
||||
|
||||
|
||||
@needs_pydanticv2
|
||||
@pytest.mark.parametrize("json", [None, {}])
|
||||
@pytest.mark.parametrize(
|
||||
"path",
|
||||
@@ -282,7 +278,6 @@ def test_required_validation_alias_missing(
|
||||
}
|
||||
|
||||
|
||||
@needs_pydanticv2
|
||||
@pytest.mark.parametrize(
|
||||
"path",
|
||||
[
|
||||
@@ -307,7 +302,6 @@ def test_required_validation_alias_by_name(path: str):
|
||||
}
|
||||
|
||||
|
||||
@needs_pydanticv2
|
||||
@pytest.mark.parametrize(
|
||||
"path",
|
||||
[
|
||||
@@ -353,7 +347,6 @@ def read_model_required_alias_and_validation_alias(
|
||||
return {"p": p.p}
|
||||
|
||||
|
||||
@needs_pydanticv2
|
||||
@pytest.mark.parametrize(
|
||||
"path",
|
||||
[
|
||||
@@ -375,7 +368,6 @@ def test_required_alias_and_validation_alias_schema(path: str):
|
||||
}
|
||||
|
||||
|
||||
@needs_pydanticv2
|
||||
@pytest.mark.parametrize("json", [None, {}])
|
||||
@pytest.mark.parametrize(
|
||||
"path",
|
||||
@@ -402,7 +394,6 @@ def test_required_alias_and_validation_alias_missing(
|
||||
}
|
||||
|
||||
|
||||
@needs_pydanticv2
|
||||
@pytest.mark.parametrize(
|
||||
"path",
|
||||
[
|
||||
@@ -430,7 +421,6 @@ def test_required_alias_and_validation_alias_by_name(path: str):
|
||||
}
|
||||
|
||||
|
||||
@needs_pydanticv2
|
||||
@pytest.mark.parametrize(
|
||||
"path",
|
||||
[
|
||||
@@ -455,7 +445,6 @@ def test_required_alias_and_validation_alias_by_alias(path: str):
|
||||
}
|
||||
|
||||
|
||||
@needs_pydanticv2
|
||||
@pytest.mark.parametrize(
|
||||
"path",
|
||||
[
|
||||
|
||||
@@ -6,8 +6,6 @@ from fastapi import Cookie, FastAPI
|
||||
from fastapi.testclient import TestClient
|
||||
from pydantic import BaseModel, Field
|
||||
|
||||
from tests.utils import needs_pydanticv2
|
||||
|
||||
app = FastAPI()
|
||||
|
||||
# =====================================================================================
|
||||
@@ -189,7 +187,6 @@ def read_model_optional_validation_alias(
|
||||
return {"p": p.p}
|
||||
|
||||
|
||||
@needs_pydanticv2
|
||||
@pytest.mark.parametrize(
|
||||
"path",
|
||||
["/optional-validation-alias", "/model-optional-validation-alias"],
|
||||
@@ -208,7 +205,6 @@ def test_optional_validation_alias_schema(path: str):
|
||||
]
|
||||
|
||||
|
||||
@needs_pydanticv2
|
||||
@pytest.mark.parametrize(
|
||||
"path",
|
||||
["/optional-validation-alias", "/model-optional-validation-alias"],
|
||||
@@ -220,7 +216,6 @@ def test_optional_validation_alias_missing(path: str):
|
||||
assert response.json() == {"p": None}
|
||||
|
||||
|
||||
@needs_pydanticv2
|
||||
@pytest.mark.parametrize(
|
||||
"path",
|
||||
[
|
||||
@@ -236,7 +231,6 @@ def test_optional_validation_alias_by_name(path: str):
|
||||
assert response.json() == {"p": None}
|
||||
|
||||
|
||||
@needs_pydanticv2
|
||||
@pytest.mark.parametrize(
|
||||
"path",
|
||||
[
|
||||
@@ -276,7 +270,6 @@ def read_model_optional_alias_and_validation_alias(
|
||||
return {"p": p.p}
|
||||
|
||||
|
||||
@needs_pydanticv2
|
||||
@pytest.mark.parametrize(
|
||||
"path",
|
||||
[
|
||||
@@ -298,7 +291,6 @@ def test_optional_alias_and_validation_alias_schema(path: str):
|
||||
]
|
||||
|
||||
|
||||
@needs_pydanticv2
|
||||
@pytest.mark.parametrize(
|
||||
"path",
|
||||
[
|
||||
@@ -313,7 +305,6 @@ def test_optional_alias_and_validation_alias_missing(path: str):
|
||||
assert response.json() == {"p": None}
|
||||
|
||||
|
||||
@needs_pydanticv2
|
||||
@pytest.mark.parametrize(
|
||||
"path",
|
||||
[
|
||||
@@ -329,7 +320,6 @@ def test_optional_alias_and_validation_alias_by_name(path: str):
|
||||
assert response.json() == {"p": None}
|
||||
|
||||
|
||||
@needs_pydanticv2
|
||||
@pytest.mark.parametrize(
|
||||
"path",
|
||||
[
|
||||
@@ -345,7 +335,6 @@ def test_optional_alias_and_validation_alias_by_alias(path: str):
|
||||
assert response.json() == {"p": None}
|
||||
|
||||
|
||||
@needs_pydanticv2
|
||||
@pytest.mark.parametrize(
|
||||
"path",
|
||||
[
|
||||
|
||||
@@ -6,8 +6,6 @@ from fastapi import Cookie, FastAPI
|
||||
from fastapi.testclient import TestClient
|
||||
from pydantic import BaseModel, Field
|
||||
|
||||
from tests.utils import needs_pydanticv2
|
||||
|
||||
app = FastAPI()
|
||||
|
||||
# =====================================================================================
|
||||
@@ -231,7 +229,6 @@ def read_model_required_validation_alias(
|
||||
return {"p": p.p}
|
||||
|
||||
|
||||
@needs_pydanticv2
|
||||
@pytest.mark.parametrize(
|
||||
"path",
|
||||
["/required-validation-alias", "/model-required-validation-alias"],
|
||||
@@ -247,7 +244,6 @@ def test_required_validation_alias_schema(path: str):
|
||||
]
|
||||
|
||||
|
||||
@needs_pydanticv2
|
||||
@pytest.mark.parametrize(
|
||||
"path",
|
||||
[
|
||||
@@ -274,7 +270,6 @@ def test_required_validation_alias_missing(path: str):
|
||||
}
|
||||
|
||||
|
||||
@needs_pydanticv2
|
||||
@pytest.mark.parametrize(
|
||||
"path",
|
||||
[
|
||||
@@ -300,7 +295,6 @@ def test_required_validation_alias_by_name(path: str):
|
||||
}
|
||||
|
||||
|
||||
@needs_pydanticv2
|
||||
@pytest.mark.parametrize(
|
||||
"path",
|
||||
[
|
||||
@@ -339,7 +333,6 @@ def read_model_required_alias_and_validation_alias(
|
||||
return {"p": p.p}
|
||||
|
||||
|
||||
@needs_pydanticv2
|
||||
@pytest.mark.parametrize(
|
||||
"path",
|
||||
[
|
||||
@@ -358,7 +351,6 @@ def test_required_alias_and_validation_alias_schema(path: str):
|
||||
]
|
||||
|
||||
|
||||
@needs_pydanticv2
|
||||
@pytest.mark.parametrize(
|
||||
"path",
|
||||
[
|
||||
@@ -385,7 +377,6 @@ def test_required_alias_and_validation_alias_missing(path: str):
|
||||
}
|
||||
|
||||
|
||||
@needs_pydanticv2
|
||||
@pytest.mark.parametrize(
|
||||
"path",
|
||||
[
|
||||
@@ -417,7 +408,6 @@ def test_required_alias_and_validation_alias_by_name(path: str):
|
||||
}
|
||||
|
||||
|
||||
@needs_pydanticv2
|
||||
@pytest.mark.parametrize(
|
||||
"path",
|
||||
[
|
||||
@@ -446,7 +436,6 @@ def test_required_alias_and_validation_alias_by_alias(path: str):
|
||||
}
|
||||
|
||||
|
||||
@needs_pydanticv2
|
||||
@pytest.mark.parametrize(
|
||||
"path",
|
||||
[
|
||||
|
||||
@@ -5,8 +5,6 @@ from dirty_equals import IsDict
|
||||
from fastapi import FastAPI, File, UploadFile
|
||||
from fastapi.testclient import TestClient
|
||||
|
||||
from tests.utils import needs_pydanticv2
|
||||
|
||||
from .utils import get_body_model_name
|
||||
|
||||
app = FastAPI()
|
||||
@@ -280,7 +278,6 @@ def read_list_uploadfile_validation_alias(
|
||||
return {"file_size": [file.size for file in p]}
|
||||
|
||||
|
||||
@needs_pydanticv2
|
||||
@pytest.mark.parametrize(
|
||||
"path",
|
||||
[
|
||||
@@ -322,7 +319,6 @@ def test_list_validation_alias_schema(path: str):
|
||||
}
|
||||
|
||||
|
||||
@needs_pydanticv2
|
||||
@pytest.mark.parametrize(
|
||||
"path",
|
||||
[
|
||||
@@ -349,7 +345,6 @@ def test_list_validation_alias_missing(path: str):
|
||||
}
|
||||
|
||||
|
||||
@needs_pydanticv2
|
||||
@pytest.mark.parametrize(
|
||||
"path",
|
||||
[
|
||||
@@ -374,7 +369,6 @@ def test_list_validation_alias_by_name(path: str):
|
||||
}
|
||||
|
||||
|
||||
@needs_pydanticv2
|
||||
@pytest.mark.parametrize(
|
||||
"path",
|
||||
[
|
||||
@@ -417,7 +411,6 @@ def read_list_uploadfile_alias_and_validation_alias(
|
||||
return {"file_size": [file.size for file in p]}
|
||||
|
||||
|
||||
@needs_pydanticv2
|
||||
@pytest.mark.parametrize(
|
||||
"path",
|
||||
[
|
||||
@@ -459,7 +452,6 @@ def test_list_alias_and_validation_alias_schema(path: str):
|
||||
}
|
||||
|
||||
|
||||
@needs_pydanticv2
|
||||
@pytest.mark.parametrize(
|
||||
"path",
|
||||
[
|
||||
@@ -486,7 +478,6 @@ def test_list_alias_and_validation_alias_missing(path: str):
|
||||
}
|
||||
|
||||
|
||||
@needs_pydanticv2
|
||||
@pytest.mark.parametrize(
|
||||
"path",
|
||||
[
|
||||
@@ -514,7 +505,6 @@ def test_list_alias_and_validation_alias_by_name(path: str):
|
||||
}
|
||||
|
||||
|
||||
@needs_pydanticv2
|
||||
@pytest.mark.parametrize(
|
||||
"path",
|
||||
[
|
||||
@@ -539,7 +529,6 @@ def test_list_alias_and_validation_alias_by_alias(path: str):
|
||||
}
|
||||
|
||||
|
||||
@needs_pydanticv2
|
||||
@pytest.mark.parametrize(
|
||||
"path",
|
||||
[
|
||||
|
||||
@@ -5,8 +5,6 @@ from dirty_equals import IsDict
|
||||
from fastapi import FastAPI, File, UploadFile
|
||||
from fastapi.testclient import TestClient
|
||||
|
||||
from tests.utils import needs_pydanticv2
|
||||
|
||||
from .utils import get_body_model_name
|
||||
|
||||
app = FastAPI()
|
||||
@@ -204,7 +202,6 @@ def read_optional_uploadfile_validation_alias(
|
||||
return {"file_size": p.size if p else None}
|
||||
|
||||
|
||||
@needs_pydanticv2
|
||||
@pytest.mark.parametrize(
|
||||
"path",
|
||||
[
|
||||
@@ -239,7 +236,6 @@ def test_optional_validation_alias_schema(path: str):
|
||||
}
|
||||
|
||||
|
||||
@needs_pydanticv2
|
||||
@pytest.mark.parametrize(
|
||||
"path",
|
||||
[
|
||||
@@ -254,7 +250,6 @@ def test_optional_validation_alias_missing(path: str):
|
||||
assert response.json() == {"file_size": None}
|
||||
|
||||
|
||||
@needs_pydanticv2
|
||||
@pytest.mark.parametrize(
|
||||
"path",
|
||||
[
|
||||
@@ -269,7 +264,6 @@ def test_optional_validation_alias_by_name(path: str):
|
||||
assert response.json() == {"file_size": None}
|
||||
|
||||
|
||||
@needs_pydanticv2
|
||||
@pytest.mark.parametrize(
|
||||
"path",
|
||||
[
|
||||
@@ -312,7 +306,6 @@ def read_optional_uploadfile_alias_and_validation_alias(
|
||||
return {"file_size": p.size if p else None}
|
||||
|
||||
|
||||
@needs_pydanticv2
|
||||
@pytest.mark.parametrize(
|
||||
"path",
|
||||
[
|
||||
@@ -347,7 +340,6 @@ def test_optional_alias_and_validation_alias_schema(path: str):
|
||||
}
|
||||
|
||||
|
||||
@needs_pydanticv2
|
||||
@pytest.mark.parametrize(
|
||||
"path",
|
||||
[
|
||||
@@ -362,7 +354,6 @@ def test_optional_alias_and_validation_alias_missing(path: str):
|
||||
assert response.json() == {"file_size": None}
|
||||
|
||||
|
||||
@needs_pydanticv2
|
||||
@pytest.mark.parametrize(
|
||||
"path",
|
||||
[
|
||||
@@ -377,7 +368,6 @@ def test_optional_alias_and_validation_alias_by_name(path: str):
|
||||
assert response.json() == {"file_size": None}
|
||||
|
||||
|
||||
@needs_pydanticv2
|
||||
@pytest.mark.parametrize(
|
||||
"path",
|
||||
[
|
||||
@@ -392,7 +382,6 @@ def test_optional_alias_and_validation_alias_by_alias(path: str):
|
||||
assert response.json() == {"file_size": None}
|
||||
|
||||
|
||||
@needs_pydanticv2
|
||||
@pytest.mark.parametrize(
|
||||
"path",
|
||||
[
|
||||
|
||||
@@ -5,8 +5,6 @@ from dirty_equals import IsDict
|
||||
from fastapi import FastAPI, File, UploadFile
|
||||
from fastapi.testclient import TestClient
|
||||
|
||||
from tests.utils import needs_pydanticv2
|
||||
|
||||
from .utils import get_body_model_name
|
||||
|
||||
app = FastAPI()
|
||||
@@ -217,7 +215,6 @@ def read_optional_list_uploadfile_validation_alias(
|
||||
return {"file_size": [file.size for file in p] if p else None}
|
||||
|
||||
|
||||
@needs_pydanticv2
|
||||
@pytest.mark.parametrize(
|
||||
"path",
|
||||
[
|
||||
@@ -259,7 +256,6 @@ def test_optional_validation_alias_schema(path: str):
|
||||
}
|
||||
|
||||
|
||||
@needs_pydanticv2
|
||||
@pytest.mark.parametrize(
|
||||
"path",
|
||||
[
|
||||
@@ -274,7 +270,6 @@ def test_optional_validation_alias_missing(path: str):
|
||||
assert response.json() == {"file_size": None}
|
||||
|
||||
|
||||
@needs_pydanticv2
|
||||
@pytest.mark.parametrize(
|
||||
"path",
|
||||
[
|
||||
@@ -289,7 +284,6 @@ def test_optional_validation_alias_by_name(path: str):
|
||||
assert response.json() == {"file_size": None}
|
||||
|
||||
|
||||
@needs_pydanticv2
|
||||
@pytest.mark.parametrize(
|
||||
"path",
|
||||
[
|
||||
@@ -329,7 +323,6 @@ def read_optional_list_uploadfile_alias_and_validation_alias(
|
||||
return {"file_size": [file.size for file in p] if p else None}
|
||||
|
||||
|
||||
@needs_pydanticv2
|
||||
@pytest.mark.parametrize(
|
||||
"path",
|
||||
[
|
||||
@@ -371,7 +364,6 @@ def test_optional_list_alias_and_validation_alias_schema(path: str):
|
||||
}
|
||||
|
||||
|
||||
@needs_pydanticv2
|
||||
@pytest.mark.parametrize(
|
||||
"path",
|
||||
[
|
||||
@@ -386,7 +378,6 @@ def test_optional_list_alias_and_validation_alias_missing(path: str):
|
||||
assert response.json() == {"file_size": None}
|
||||
|
||||
|
||||
@needs_pydanticv2
|
||||
@pytest.mark.parametrize(
|
||||
"path",
|
||||
[
|
||||
@@ -401,7 +392,6 @@ def test_optional_list_alias_and_validation_alias_by_name(path: str):
|
||||
assert response.json() == {"file_size": None}
|
||||
|
||||
|
||||
@needs_pydanticv2
|
||||
@pytest.mark.parametrize(
|
||||
"path",
|
||||
[
|
||||
@@ -416,7 +406,6 @@ def test_optional_list_alias_and_validation_alias_by_alias(path: str):
|
||||
assert response.json() == {"file_size": None}
|
||||
|
||||
|
||||
@needs_pydanticv2
|
||||
@pytest.mark.parametrize(
|
||||
"path",
|
||||
[
|
||||
|
||||
@@ -5,8 +5,6 @@ from dirty_equals import IsDict
|
||||
from fastapi import FastAPI, File, UploadFile
|
||||
from fastapi.testclient import TestClient
|
||||
|
||||
from tests.utils import needs_pydanticv2
|
||||
|
||||
from .utils import get_body_model_name
|
||||
|
||||
app = FastAPI()
|
||||
@@ -242,7 +240,6 @@ def read_required_uploadfile_validation_alias(
|
||||
return {"file_size": p.size}
|
||||
|
||||
|
||||
@needs_pydanticv2
|
||||
@pytest.mark.parametrize(
|
||||
"path",
|
||||
[
|
||||
@@ -268,7 +265,6 @@ def test_required_validation_alias_schema(path: str):
|
||||
}
|
||||
|
||||
|
||||
@needs_pydanticv2
|
||||
@pytest.mark.parametrize(
|
||||
"path",
|
||||
[
|
||||
@@ -295,7 +291,6 @@ def test_required_validation_alias_missing(path: str):
|
||||
}
|
||||
|
||||
|
||||
@needs_pydanticv2
|
||||
@pytest.mark.parametrize(
|
||||
"path",
|
||||
[
|
||||
@@ -320,7 +315,6 @@ def test_required_validation_alias_by_name(path: str):
|
||||
}
|
||||
|
||||
|
||||
@needs_pydanticv2
|
||||
@pytest.mark.parametrize(
|
||||
"path",
|
||||
[
|
||||
@@ -359,7 +353,6 @@ def read_required_uploadfile_alias_and_validation_alias(
|
||||
return {"file_size": p.size}
|
||||
|
||||
|
||||
@needs_pydanticv2
|
||||
@pytest.mark.parametrize(
|
||||
"path",
|
||||
[
|
||||
@@ -385,7 +378,6 @@ def test_required_alias_and_validation_alias_schema(path: str):
|
||||
}
|
||||
|
||||
|
||||
@needs_pydanticv2
|
||||
@pytest.mark.parametrize(
|
||||
"path",
|
||||
[
|
||||
@@ -412,7 +404,6 @@ def test_required_alias_and_validation_alias_missing(path: str):
|
||||
}
|
||||
|
||||
|
||||
@needs_pydanticv2
|
||||
@pytest.mark.parametrize(
|
||||
"path",
|
||||
[
|
||||
@@ -440,7 +431,6 @@ def test_required_alias_and_validation_alias_by_name(path: str):
|
||||
}
|
||||
|
||||
|
||||
@needs_pydanticv2
|
||||
@pytest.mark.parametrize(
|
||||
"path",
|
||||
[
|
||||
@@ -465,7 +455,6 @@ def test_required_alias_and_validation_alias_by_alias(path: str):
|
||||
}
|
||||
|
||||
|
||||
@needs_pydanticv2
|
||||
@pytest.mark.parametrize(
|
||||
"path",
|
||||
[
|
||||
|
||||
@@ -6,8 +6,6 @@ from fastapi import FastAPI, Form
|
||||
from fastapi.testclient import TestClient
|
||||
from pydantic import BaseModel, Field
|
||||
|
||||
from tests.utils import needs_pydanticv2
|
||||
|
||||
from .utils import get_body_model_name
|
||||
|
||||
app = FastAPI()
|
||||
@@ -247,7 +245,6 @@ async def read_model_required_list_validation_alias(
|
||||
return {"p": p.p}
|
||||
|
||||
|
||||
@needs_pydanticv2
|
||||
@pytest.mark.parametrize(
|
||||
"path",
|
||||
["/required-list-validation-alias", "/model-required-list-validation-alias"],
|
||||
@@ -270,7 +267,6 @@ def test_required_list_validation_alias_schema(path: str):
|
||||
}
|
||||
|
||||
|
||||
@needs_pydanticv2
|
||||
@pytest.mark.parametrize(
|
||||
"path",
|
||||
[
|
||||
@@ -297,7 +293,6 @@ def test_required_list_validation_alias_missing(path: str):
|
||||
}
|
||||
|
||||
|
||||
@needs_pydanticv2
|
||||
@pytest.mark.parametrize(
|
||||
"path",
|
||||
[
|
||||
@@ -322,7 +317,6 @@ def test_required_list_validation_alias_by_name(path: str):
|
||||
}
|
||||
|
||||
|
||||
@needs_pydanticv2
|
||||
@pytest.mark.parametrize(
|
||||
"path",
|
||||
["/required-list-validation-alias", "/model-required-list-validation-alias"],
|
||||
@@ -363,7 +357,6 @@ def read_model_required_list_alias_and_validation_alias(
|
||||
return {"p": p.p}
|
||||
|
||||
|
||||
@needs_pydanticv2
|
||||
@pytest.mark.parametrize(
|
||||
"path",
|
||||
[
|
||||
@@ -389,7 +382,6 @@ def test_required_list_alias_and_validation_alias_schema(path: str):
|
||||
}
|
||||
|
||||
|
||||
@needs_pydanticv2
|
||||
@pytest.mark.parametrize(
|
||||
"path",
|
||||
[
|
||||
@@ -416,7 +408,6 @@ def test_required_list_alias_and_validation_alias_missing(path: str):
|
||||
}
|
||||
|
||||
|
||||
@needs_pydanticv2
|
||||
@pytest.mark.parametrize(
|
||||
"path",
|
||||
[
|
||||
@@ -446,7 +437,6 @@ def test_required_list_alias_and_validation_alias_by_name(path: str):
|
||||
}
|
||||
|
||||
|
||||
@needs_pydanticv2
|
||||
@pytest.mark.parametrize(
|
||||
"path",
|
||||
[
|
||||
@@ -470,7 +460,6 @@ def test_required_list_alias_and_validation_alias_by_alias(path: str):
|
||||
}
|
||||
|
||||
|
||||
@needs_pydanticv2
|
||||
@pytest.mark.parametrize(
|
||||
"path",
|
||||
[
|
||||
|
||||
@@ -6,8 +6,6 @@ from fastapi import FastAPI, Form
|
||||
from fastapi.testclient import TestClient
|
||||
from pydantic import BaseModel, Field
|
||||
|
||||
from tests.utils import needs_pydanticv2
|
||||
|
||||
from .utils import get_body_model_name
|
||||
|
||||
app = FastAPI()
|
||||
@@ -211,7 +209,6 @@ def read_model_optional_list_validation_alias(
|
||||
return {"p": p.p}
|
||||
|
||||
|
||||
@needs_pydanticv2
|
||||
@pytest.mark.parametrize(
|
||||
"path",
|
||||
["/optional-list-validation-alias", "/model-optional-list-validation-alias"],
|
||||
@@ -250,7 +247,6 @@ def test_optional_list_validation_alias_schema(path: str):
|
||||
)
|
||||
|
||||
|
||||
@needs_pydanticv2
|
||||
@pytest.mark.parametrize(
|
||||
"path",
|
||||
["/optional-list-validation-alias", "/model-optional-list-validation-alias"],
|
||||
@@ -262,7 +258,6 @@ def test_optional_list_validation_alias_missing(path: str):
|
||||
assert response.json() == {"p": None}
|
||||
|
||||
|
||||
@needs_pydanticv2
|
||||
@pytest.mark.parametrize(
|
||||
"path",
|
||||
[
|
||||
@@ -277,7 +272,6 @@ def test_optional_list_validation_alias_by_name(path: str):
|
||||
assert response.json() == {"p": None}
|
||||
|
||||
|
||||
@needs_pydanticv2
|
||||
@pytest.mark.parametrize(
|
||||
"path",
|
||||
["/optional-list-validation-alias", "/model-optional-list-validation-alias"],
|
||||
@@ -321,7 +315,6 @@ def read_model_optional_list_alias_and_validation_alias(
|
||||
return {"p": p.p}
|
||||
|
||||
|
||||
@needs_pydanticv2
|
||||
@pytest.mark.parametrize(
|
||||
"path",
|
||||
[
|
||||
@@ -363,7 +356,6 @@ def test_optional_list_alias_and_validation_alias_schema(path: str):
|
||||
)
|
||||
|
||||
|
||||
@needs_pydanticv2
|
||||
@pytest.mark.parametrize(
|
||||
"path",
|
||||
[
|
||||
@@ -378,7 +370,6 @@ def test_optional_list_alias_and_validation_alias_missing(path: str):
|
||||
assert response.json() == {"p": None}
|
||||
|
||||
|
||||
@needs_pydanticv2
|
||||
@pytest.mark.parametrize(
|
||||
"path",
|
||||
[
|
||||
@@ -393,7 +384,6 @@ def test_optional_list_alias_and_validation_alias_by_name(path: str):
|
||||
assert response.json() == {"p": None}
|
||||
|
||||
|
||||
@needs_pydanticv2
|
||||
@pytest.mark.parametrize(
|
||||
"path",
|
||||
[
|
||||
@@ -408,7 +398,6 @@ def test_optional_list_alias_and_validation_alias_by_alias(path: str):
|
||||
assert response.json() == {"p": None}
|
||||
|
||||
|
||||
@needs_pydanticv2
|
||||
@pytest.mark.parametrize(
|
||||
"path",
|
||||
[
|
||||
|
||||
@@ -6,8 +6,6 @@ from fastapi import FastAPI, Form
|
||||
from fastapi.testclient import TestClient
|
||||
from pydantic import BaseModel, Field
|
||||
|
||||
from tests.utils import needs_pydanticv2
|
||||
|
||||
from .utils import get_body_model_name
|
||||
|
||||
app = FastAPI()
|
||||
@@ -194,7 +192,6 @@ def read_model_optional_validation_alias(
|
||||
return {"p": p.p}
|
||||
|
||||
|
||||
@needs_pydanticv2
|
||||
@pytest.mark.parametrize(
|
||||
"path",
|
||||
["/optional-validation-alias", "/model-optional-validation-alias"],
|
||||
@@ -226,7 +223,6 @@ def test_optional_validation_alias_schema(path: str):
|
||||
)
|
||||
|
||||
|
||||
@needs_pydanticv2
|
||||
@pytest.mark.parametrize(
|
||||
"path",
|
||||
["/optional-validation-alias", "/model-optional-validation-alias"],
|
||||
@@ -238,7 +234,6 @@ def test_optional_validation_alias_missing(path: str):
|
||||
assert response.json() == {"p": None}
|
||||
|
||||
|
||||
@needs_pydanticv2
|
||||
@pytest.mark.parametrize(
|
||||
"path",
|
||||
[
|
||||
@@ -253,7 +248,6 @@ def test_optional_validation_alias_by_name(path: str):
|
||||
assert response.json() == {"p": None}
|
||||
|
||||
|
||||
@needs_pydanticv2
|
||||
@pytest.mark.parametrize(
|
||||
"path",
|
||||
[
|
||||
@@ -298,7 +292,6 @@ def read_model_optional_alias_and_validation_alias(
|
||||
return {"p": p.p}
|
||||
|
||||
|
||||
@needs_pydanticv2
|
||||
@pytest.mark.parametrize(
|
||||
"path",
|
||||
[
|
||||
@@ -333,7 +326,6 @@ def test_optional_alias_and_validation_alias_schema(path: str):
|
||||
)
|
||||
|
||||
|
||||
@needs_pydanticv2
|
||||
@pytest.mark.parametrize(
|
||||
"path",
|
||||
[
|
||||
@@ -348,7 +340,6 @@ def test_optional_alias_and_validation_alias_missing(path: str):
|
||||
assert response.json() == {"p": None}
|
||||
|
||||
|
||||
@needs_pydanticv2
|
||||
@pytest.mark.parametrize(
|
||||
"path",
|
||||
[
|
||||
@@ -363,7 +354,6 @@ def test_optional_alias_and_validation_alias_by_name(path: str):
|
||||
assert response.json() == {"p": None}
|
||||
|
||||
|
||||
@needs_pydanticv2
|
||||
@pytest.mark.parametrize(
|
||||
"path",
|
||||
[
|
||||
@@ -378,7 +368,6 @@ def test_optional_alias_and_validation_alias_by_alias(path: str):
|
||||
assert response.json() == {"p": None}
|
||||
|
||||
|
||||
@needs_pydanticv2
|
||||
@pytest.mark.parametrize(
|
||||
"path",
|
||||
[
|
||||
|
||||
@@ -6,8 +6,6 @@ from fastapi import FastAPI, Form
|
||||
from fastapi.testclient import TestClient
|
||||
from pydantic import BaseModel, Field
|
||||
|
||||
from tests.utils import needs_pydanticv2
|
||||
|
||||
from .utils import get_body_model_name
|
||||
|
||||
app = FastAPI()
|
||||
@@ -232,7 +230,6 @@ def read_model_required_validation_alias(
|
||||
return {"p": p.p}
|
||||
|
||||
|
||||
@needs_pydanticv2
|
||||
@pytest.mark.parametrize(
|
||||
"path",
|
||||
["/required-validation-alias", "/model-required-validation-alias"],
|
||||
@@ -251,7 +248,6 @@ def test_required_validation_alias_schema(path: str):
|
||||
}
|
||||
|
||||
|
||||
@needs_pydanticv2
|
||||
@pytest.mark.parametrize(
|
||||
"path",
|
||||
[
|
||||
@@ -278,7 +274,6 @@ def test_required_validation_alias_missing(path: str):
|
||||
}
|
||||
|
||||
|
||||
@needs_pydanticv2
|
||||
@pytest.mark.parametrize(
|
||||
"path",
|
||||
[
|
||||
@@ -303,7 +298,6 @@ def test_required_validation_alias_by_name(path: str):
|
||||
}
|
||||
|
||||
|
||||
@needs_pydanticv2
|
||||
@pytest.mark.parametrize(
|
||||
"path",
|
||||
[
|
||||
@@ -347,7 +341,6 @@ def read_model_required_alias_and_validation_alias(
|
||||
return {"p": p.p}
|
||||
|
||||
|
||||
@needs_pydanticv2
|
||||
@pytest.mark.parametrize(
|
||||
"path",
|
||||
[
|
||||
@@ -369,7 +362,6 @@ def test_required_alias_and_validation_alias_schema(path: str):
|
||||
}
|
||||
|
||||
|
||||
@needs_pydanticv2
|
||||
@pytest.mark.parametrize(
|
||||
"path",
|
||||
[
|
||||
@@ -396,7 +388,6 @@ def test_required_alias_and_validation_alias_missing(path: str):
|
||||
}
|
||||
|
||||
|
||||
@needs_pydanticv2
|
||||
@pytest.mark.parametrize(
|
||||
"path",
|
||||
[
|
||||
@@ -424,7 +415,6 @@ def test_required_alias_and_validation_alias_by_name(path: str):
|
||||
}
|
||||
|
||||
|
||||
@needs_pydanticv2
|
||||
@pytest.mark.parametrize(
|
||||
"path",
|
||||
[
|
||||
@@ -449,7 +439,6 @@ def test_required_alias_and_validation_alias_by_alias(path: str):
|
||||
}
|
||||
|
||||
|
||||
@needs_pydanticv2
|
||||
@pytest.mark.parametrize(
|
||||
"path",
|
||||
[
|
||||
|
||||
@@ -6,8 +6,6 @@ from fastapi import FastAPI, Header
|
||||
from fastapi.testclient import TestClient
|
||||
from pydantic import BaseModel, Field
|
||||
|
||||
from tests.utils import needs_pydanticv2
|
||||
|
||||
app = FastAPI()
|
||||
|
||||
# =====================================================================================
|
||||
@@ -234,7 +232,6 @@ async def read_model_required_list_validation_alias(
|
||||
return {"p": p.p}
|
||||
|
||||
|
||||
@needs_pydanticv2
|
||||
@pytest.mark.parametrize(
|
||||
"path",
|
||||
["/required-list-validation-alias", "/model-required-list-validation-alias"],
|
||||
@@ -254,7 +251,6 @@ def test_required_list_validation_alias_schema(path: str):
|
||||
]
|
||||
|
||||
|
||||
@needs_pydanticv2
|
||||
@pytest.mark.parametrize(
|
||||
"path",
|
||||
[
|
||||
@@ -281,7 +277,6 @@ def test_required_list_validation_alias_missing(path: str):
|
||||
}
|
||||
|
||||
|
||||
@needs_pydanticv2
|
||||
@pytest.mark.parametrize(
|
||||
"path",
|
||||
[
|
||||
@@ -306,7 +301,6 @@ def test_required_list_validation_alias_by_name(path: str):
|
||||
}
|
||||
|
||||
|
||||
@needs_pydanticv2
|
||||
@pytest.mark.parametrize(
|
||||
"path",
|
||||
["/required-list-validation-alias", "/model-required-list-validation-alias"],
|
||||
@@ -343,7 +337,6 @@ def read_model_required_list_alias_and_validation_alias(
|
||||
return {"p": p.p}
|
||||
|
||||
|
||||
@needs_pydanticv2
|
||||
@pytest.mark.parametrize(
|
||||
"path",
|
||||
[
|
||||
@@ -366,7 +359,6 @@ def test_required_list_alias_and_validation_alias_schema(path: str):
|
||||
]
|
||||
|
||||
|
||||
@needs_pydanticv2
|
||||
@pytest.mark.parametrize(
|
||||
"path",
|
||||
[
|
||||
@@ -393,7 +385,6 @@ def test_required_list_alias_and_validation_alias_missing(path: str):
|
||||
}
|
||||
|
||||
|
||||
@needs_pydanticv2
|
||||
@pytest.mark.parametrize(
|
||||
"path",
|
||||
[
|
||||
@@ -423,7 +414,6 @@ def test_required_list_alias_and_validation_alias_by_name(path: str):
|
||||
}
|
||||
|
||||
|
||||
@needs_pydanticv2
|
||||
@pytest.mark.parametrize(
|
||||
"path",
|
||||
[
|
||||
@@ -450,7 +440,6 @@ def test_required_list_alias_and_validation_alias_by_alias(path: str):
|
||||
}
|
||||
|
||||
|
||||
@needs_pydanticv2
|
||||
@pytest.mark.parametrize(
|
||||
"path",
|
||||
[
|
||||
|
||||
@@ -6,8 +6,6 @@ from fastapi import FastAPI, Header
|
||||
from fastapi.testclient import TestClient
|
||||
from pydantic import BaseModel, Field
|
||||
|
||||
from tests.utils import needs_pydanticv2
|
||||
|
||||
app = FastAPI()
|
||||
|
||||
# =====================================================================================
|
||||
@@ -202,7 +200,6 @@ def read_model_optional_list_validation_alias(
|
||||
return {"p": p.p}
|
||||
|
||||
|
||||
@needs_pydanticv2
|
||||
@pytest.mark.parametrize(
|
||||
"path",
|
||||
["/optional-list-validation-alias", "/model-optional-list-validation-alias"],
|
||||
@@ -224,7 +221,6 @@ def test_optional_list_validation_alias_schema(path: str):
|
||||
]
|
||||
|
||||
|
||||
@needs_pydanticv2
|
||||
@pytest.mark.parametrize(
|
||||
"path",
|
||||
["/optional-list-validation-alias", "/model-optional-list-validation-alias"],
|
||||
@@ -236,7 +232,6 @@ def test_optional_list_validation_alias_missing(path: str):
|
||||
assert response.json() == {"p": None}
|
||||
|
||||
|
||||
@needs_pydanticv2
|
||||
@pytest.mark.parametrize(
|
||||
"path",
|
||||
[
|
||||
@@ -251,7 +246,6 @@ def test_optional_list_validation_alias_by_name(path: str):
|
||||
assert response.json() == {"p": None}
|
||||
|
||||
|
||||
@needs_pydanticv2
|
||||
@pytest.mark.parametrize(
|
||||
"path",
|
||||
["/optional-list-validation-alias", "/model-optional-list-validation-alias"],
|
||||
@@ -291,7 +285,6 @@ def read_model_optional_list_alias_and_validation_alias(
|
||||
return {"p": p.p}
|
||||
|
||||
|
||||
@needs_pydanticv2
|
||||
@pytest.mark.parametrize(
|
||||
"path",
|
||||
[
|
||||
@@ -316,7 +309,6 @@ def test_optional_list_alias_and_validation_alias_schema(path: str):
|
||||
]
|
||||
|
||||
|
||||
@needs_pydanticv2
|
||||
@pytest.mark.parametrize(
|
||||
"path",
|
||||
[
|
||||
@@ -331,7 +323,6 @@ def test_optional_list_alias_and_validation_alias_missing(path: str):
|
||||
assert response.json() == {"p": None}
|
||||
|
||||
|
||||
@needs_pydanticv2
|
||||
@pytest.mark.parametrize(
|
||||
"path",
|
||||
[
|
||||
@@ -346,7 +337,6 @@ def test_optional_list_alias_and_validation_alias_by_name(path: str):
|
||||
assert response.json() == {"p": None}
|
||||
|
||||
|
||||
@needs_pydanticv2
|
||||
@pytest.mark.parametrize(
|
||||
"path",
|
||||
[
|
||||
@@ -361,7 +351,6 @@ def test_optional_list_alias_and_validation_alias_by_alias(path: str):
|
||||
assert response.json() == {"p": None}
|
||||
|
||||
|
||||
@needs_pydanticv2
|
||||
@pytest.mark.parametrize(
|
||||
"path",
|
||||
[
|
||||
|
||||
@@ -6,8 +6,6 @@ from fastapi import FastAPI, Header
|
||||
from fastapi.testclient import TestClient
|
||||
from pydantic import BaseModel, Field
|
||||
|
||||
from tests.utils import needs_pydanticv2
|
||||
|
||||
app = FastAPI()
|
||||
|
||||
# =====================================================================================
|
||||
@@ -186,7 +184,6 @@ def read_model_optional_validation_alias(
|
||||
return {"p": p.p}
|
||||
|
||||
|
||||
@needs_pydanticv2
|
||||
@pytest.mark.parametrize(
|
||||
"path",
|
||||
["/optional-validation-alias", "/model-optional-validation-alias"],
|
||||
@@ -205,7 +202,6 @@ def test_optional_validation_alias_schema(path: str):
|
||||
]
|
||||
|
||||
|
||||
@needs_pydanticv2
|
||||
@pytest.mark.parametrize(
|
||||
"path",
|
||||
["/optional-validation-alias", "/model-optional-validation-alias"],
|
||||
@@ -217,7 +213,6 @@ def test_optional_validation_alias_missing(path: str):
|
||||
assert response.json() == {"p": None}
|
||||
|
||||
|
||||
@needs_pydanticv2
|
||||
@pytest.mark.parametrize(
|
||||
"path",
|
||||
[
|
||||
@@ -232,7 +227,6 @@ def test_optional_validation_alias_by_name(path: str):
|
||||
assert response.json() == {"p": None}
|
||||
|
||||
|
||||
@needs_pydanticv2
|
||||
@pytest.mark.parametrize(
|
||||
"path",
|
||||
[
|
||||
@@ -271,7 +265,6 @@ def read_model_optional_alias_and_validation_alias(
|
||||
return {"p": p.p}
|
||||
|
||||
|
||||
@needs_pydanticv2
|
||||
@pytest.mark.parametrize(
|
||||
"path",
|
||||
[
|
||||
@@ -293,7 +286,6 @@ def test_optional_alias_and_validation_alias_schema(path: str):
|
||||
]
|
||||
|
||||
|
||||
@needs_pydanticv2
|
||||
@pytest.mark.parametrize(
|
||||
"path",
|
||||
[
|
||||
@@ -308,7 +300,6 @@ def test_optional_alias_and_validation_alias_missing(path: str):
|
||||
assert response.json() == {"p": None}
|
||||
|
||||
|
||||
@needs_pydanticv2
|
||||
@pytest.mark.parametrize(
|
||||
"path",
|
||||
[
|
||||
@@ -323,7 +314,6 @@ def test_optional_alias_and_validation_alias_by_name(path: str):
|
||||
assert response.json() == {"p": None}
|
||||
|
||||
|
||||
@needs_pydanticv2
|
||||
@pytest.mark.parametrize(
|
||||
"path",
|
||||
[
|
||||
@@ -338,7 +328,6 @@ def test_optional_alias_and_validation_alias_by_alias(path: str):
|
||||
assert response.json() == {"p": None}
|
||||
|
||||
|
||||
@needs_pydanticv2
|
||||
@pytest.mark.parametrize(
|
||||
"path",
|
||||
[
|
||||
|
||||
Some files were not shown because too many files have changed in this diff Show More
Reference in New Issue
Block a user