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:
Sebastián Ramírez
2025-12-20 07:55:38 -08:00
committed by GitHub
parent 5c7dceb80f
commit e2cd8a4201
138 changed files with 1272 additions and 3658 deletions

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@@ -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 }}

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@@ -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.

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@@ -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 }

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@@ -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.

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@@ -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. 🤓

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@@ -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] *}

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@@ -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.

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@@ -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.

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@@ -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`.

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@@ -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`

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@@ -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.

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@@ -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})

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@@ -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})

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@@ -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()}

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@@ -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()}

View File

@@ -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

View File

@@ -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

View File

@@ -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

View File

@@ -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

View File

@@ -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

View File

@@ -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

View File

@@ -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

View File

@@ -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

View File

@@ -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

View File

@@ -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

View File

@@ -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

View File

@@ -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

View File

@@ -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

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@@ -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

View File

@@ -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

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@@ -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

View File

@@ -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()

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@@ -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

View File

@@ -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

View File

@@ -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

View File

@@ -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

View File

@@ -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()

View File

@@ -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()

View File

@@ -1,5 +1,5 @@
from fastapi import FastAPI
from pydantic import BaseModel
from pydantic.v1 import BaseModel
app = FastAPI()

View File

@@ -1,7 +1,7 @@
from typing import Union
from fastapi import FastAPI
from pydantic import BaseModel
from pydantic.v1 import BaseModel
app = FastAPI()

View File

@@ -1,4 +1,4 @@
from pydantic import BaseSettings
from pydantic.v1 import BaseSettings
class Settings(BaseSettings):

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@@ -1,4 +1,4 @@
from pydantic import BaseSettings
from pydantic.v1 import BaseSettings
class Settings(BaseSettings):

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@@ -1,5 +1,5 @@
from fastapi import FastAPI
from pydantic import BaseSettings
from pydantic.v1 import BaseSettings
class Settings(BaseSettings):

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@@ -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

View File

@@ -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]

View File

@@ -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)

View File

@@ -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())

View File

@@ -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:

View File

@@ -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

View File

@@ -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:

View File

@@ -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,

View File

@@ -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()

View File

@@ -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}

View File

@@ -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

View File

@@ -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,

View File

@@ -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)

View File

@@ -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]

View File

@@ -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):

View File

@@ -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

View File

@@ -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(

View File

@@ -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

View File

@@ -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,

View File

@@ -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

View File

@@ -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"],
},
},
}

View File

@@ -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", {})

View File

@@ -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:

View File

@@ -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"},
}

View File

@@ -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"},
},
},
}
},
}
},
}
)

View File

@@ -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"},
},
},
}
},
}
},
}
)

View File

@@ -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/")

View File

@@ -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

View File

@@ -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}

View File

@@ -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}

View File

@@ -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": ""},

View File

@@ -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")

View File

@@ -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,

View File

@@ -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,

View File

@@ -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"},

View File

@@ -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",
},
},
},
}
)

View File

@@ -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"},

View File

@@ -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")

View File

@@ -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

View File

@@ -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"}

View File

@@ -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",
[

View File

@@ -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",
[

View File

@@ -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",
[

View File

@@ -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",
[

View File

@@ -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",
[

View File

@@ -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",
[

View File

@@ -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",
[

View File

@@ -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",
[

View File

@@ -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",
[

View File

@@ -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",
[

View File

@@ -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",
[

View File

@@ -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",
[

View File

@@ -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",
[

View File

@@ -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",
[

View File

@@ -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",
[

View File

@@ -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",
[

View File

@@ -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",
[

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