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Add support for Pydantic models for parameters using `Query`, `Cookie`, `Header` (#12199)

pull/12220/head
Sebastián Ramírez 7 months ago
committed by GitHub
parent
commit
55035f440b
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      docs/en/docs/img/tutorial/cookie-param-models/image01.png
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      docs/en/docs/tutorial/query-param-models.md
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      docs/en/mkdocs.yml
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      docs_src/cookie_param_models/tutorial001.py
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      docs_src/cookie_param_models/tutorial001_an.py
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      docs_src/cookie_param_models/tutorial001_an_py310.py
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      docs_src/cookie_param_models/tutorial001_an_py39.py
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      docs_src/cookie_param_models/tutorial001_py310.py
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      docs_src/cookie_param_models/tutorial002.py
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      docs_src/cookie_param_models/tutorial002_an.py
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      docs_src/cookie_param_models/tutorial002_an_py310.py
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      docs_src/cookie_param_models/tutorial002_an_py39.py
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      docs_src/cookie_param_models/tutorial002_pv1.py
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      docs_src/cookie_param_models/tutorial002_pv1_an.py
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      docs_src/cookie_param_models/tutorial002_pv1_an_py310.py
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      docs_src/cookie_param_models/tutorial002_pv1_an_py39.py
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      docs_src/cookie_param_models/tutorial002_pv1_py310.py
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      docs_src/cookie_param_models/tutorial002_py310.py
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      docs_src/header_param_models/tutorial001.py
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      docs_src/header_param_models/tutorial001_an.py
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      docs_src/header_param_models/tutorial001_an_py310.py
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      docs_src/header_param_models/tutorial001_an_py39.py
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      docs_src/header_param_models/tutorial001_py310.py
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      docs_src/header_param_models/tutorial001_py39.py
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      docs_src/header_param_models/tutorial002.py
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      docs_src/header_param_models/tutorial002_an.py
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      docs_src/header_param_models/tutorial002_an_py310.py
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      docs_src/header_param_models/tutorial002_an_py39.py
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      docs_src/header_param_models/tutorial002_pv1.py
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      docs_src/header_param_models/tutorial002_pv1_an.py
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      docs_src/header_param_models/tutorial002_pv1_an_py310.py
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      docs_src/header_param_models/tutorial002_pv1_an_py39.py
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      docs_src/header_param_models/tutorial002_pv1_py310.py
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      docs_src/header_param_models/tutorial002_pv1_py39.py
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      docs_src/header_param_models/tutorial002_py310.py
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      docs_src/header_param_models/tutorial002_py39.py
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      docs_src/query_param_models/tutorial001.py
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      docs_src/query_param_models/tutorial001_an.py
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      docs_src/query_param_models/tutorial001_an_py310.py
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      docs_src/query_param_models/tutorial001_an_py39.py
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      docs_src/query_param_models/tutorial001_py310.py
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      docs_src/query_param_models/tutorial001_py39.py
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      docs_src/query_param_models/tutorial002.py
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      docs_src/query_param_models/tutorial002_an.py
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      docs_src/query_param_models/tutorial002_an_py310.py
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      docs_src/query_param_models/tutorial002_pv1_py39.py
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      docs_src/query_param_models/tutorial002_py310.py
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      docs_src/query_param_models/tutorial002_py39.py
  59. 90
      fastapi/dependencies/utils.py
  60. 86
      fastapi/openapi/utils.py
  61. 39
      scripts/playwright/cookie_param_models/image01.py
  62. 38
      scripts/playwright/header_param_models/image01.py
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      scripts/playwright/query_param_models/image01.py
  64. 0
      tests/test_tutorial/test_cookie_param_models/__init__.py
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      tests/test_tutorial/test_cookie_param_models/test_tutorial001.py
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      tests/test_tutorial/test_cookie_param_models/test_tutorial002.py
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      tests/test_tutorial/test_header_param_models/__init__.py
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      tests/test_tutorial/test_header_param_models/test_tutorial001.py
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      tests/test_tutorial/test_query_param_models/__init__.py
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      tests/test_tutorial/test_query_param_models/test_tutorial001.py
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      tests/test_tutorial/test_query_param_models/test_tutorial002.py

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docs/en/docs/tutorial/cookie-param-models.md

@ -0,0 +1,154 @@
# Cookie Parameter Models
If you have a group of **cookies** that are related, you can create a **Pydantic model** to declare them. 🍪
This would allow you to **re-use the model** in **multiple places** and also to declare validations and metadata for all the parameters at once. 😎
/// note
This is supported since FastAPI version `0.115.0`. 🤓
///
/// tip
This same technique applies to `Query`, `Cookie`, and `Header`. 😎
///
## Cookies with a Pydantic Model
Declare the **cookie** parameters that you need in a **Pydantic model**, and then declare the parameter as `Cookie`:
//// tab | Python 3.10+
```Python hl_lines="9-12 16"
{!> ../../../docs_src/cookie_param_models/tutorial001_an_py310.py!}
```
////
//// tab | Python 3.9+
```Python hl_lines="9-12 16"
{!> ../../../docs_src/cookie_param_models/tutorial001_an_py39.py!}
```
////
//// tab | Python 3.8+
```Python hl_lines="10-13 17"
{!> ../../../docs_src/cookie_param_models/tutorial001_an.py!}
```
////
//// tab | Python 3.10+ non-Annotated
/// tip
Prefer to use the `Annotated` version if possible.
///
```Python hl_lines="7-10 14"
{!> ../../../docs_src/cookie_param_models/tutorial001_py310.py!}
```
////
//// tab | Python 3.8+ non-Annotated
/// tip
Prefer to use the `Annotated` version if possible.
///
```Python hl_lines="9-12 16"
{!> ../../../docs_src/cookie_param_models/tutorial001.py!}
```
////
**FastAPI** will **extract** the data for **each field** from the **cookies** received in the request and give you the Pydantic model you defined.
## Check the Docs
You can see the defined cookies in the docs UI at `/docs`:
<div class="screenshot">
<img src="/img/tutorial/cookie-param-models/image01.png">
</div>
/// info
Have in mind that, as **browsers handle cookies** in special ways and behind the scenes, they **don't** easily allow **JavaScript** to touch them.
If you go to the **API docs UI** at `/docs` you will be able to see the **documentation** for cookies for your *path operations*.
But even if you **fill the data** and click "Execute", because the docs UI works with **JavaScript**, the cookies won't be sent, and you will see an **error** message as if you didn't write any values.
///
## Forbid Extra Cookies
In some special use cases (probably not very common), you might want to **restrict** the cookies that you want to receive.
Your API now has the power to control its own <abbr title="This is a joke, just in case. It has nothing to do with cookie consents, but it's funny that even the API can now reject the poor cookies. Have a cookie. 🍪">cookie consent</abbr>. 🤪🍪
You can use Pydantic's model configuration to `forbid` any `extra` fields:
//// tab | Python 3.9+
```Python hl_lines="10"
{!> ../../../docs_src/cookie_param_models/tutorial002_an_py39.py!}
```
////
//// tab | Python 3.8+
```Python hl_lines="11"
{!> ../../../docs_src/cookie_param_models/tutorial002_an.py!}
```
////
//// tab | Python 3.8+ non-Annotated
/// tip
Prefer to use the `Annotated` version if possible.
///
```Python hl_lines="10"
{!> ../../../docs_src/cookie_param_models/tutorial002.py!}
```
////
If a client tries to send some **extra cookies**, they will receive an **error** response.
Poor cookie banners with all their effort to get your consent for the <abbr title="This is another joke. Don't pay attention to me. Have some coffee for your cookie. ☕">API to reject it</abbr>. 🍪
For example, if the client tries to send a `santa_tracker` cookie with a value of `good-list-please`, the client will receive an **error** response telling them that the `santa_tracker` <abbr title="Santa disapproves the lack of cookies. 🎅 Okay, no more cookie jokes.">cookie is not allowed</abbr>:
```json
{
"detail": [
{
"type": "extra_forbidden",
"loc": ["cookie", "santa_tracker"],
"msg": "Extra inputs are not permitted",
"input": "good-list-please",
}
]
}
```
## Summary
You can use **Pydantic models** to declare <abbr title="Have a last cookie before you go. 🍪">**cookies**</abbr> in **FastAPI**. 😎

184
docs/en/docs/tutorial/header-param-models.md

@ -0,0 +1,184 @@
# Header Parameter Models
If you have a group of related **header parameters**, you can create a **Pydantic model** to declare them.
This would allow you to **re-use the model** in **multiple places** and also to declare validations and metadata for all the parameters at once. 😎
/// note
This is supported since FastAPI version `0.115.0`. 🤓
///
## Header Parameters with a Pydantic Model
Declare the **header parameters** that you need in a **Pydantic model**, and then declare the parameter as `Header`:
//// tab | Python 3.10+
```Python hl_lines="9-14 18"
{!> ../../../docs_src/header_param_models/tutorial001_an_py310.py!}
```
////
//// tab | Python 3.9+
```Python hl_lines="9-14 18"
{!> ../../../docs_src/header_param_models/tutorial001_an_py39.py!}
```
////
//// tab | Python 3.8+
```Python hl_lines="10-15 19"
{!> ../../../docs_src/header_param_models/tutorial001_an.py!}
```
////
//// tab | Python 3.10+ non-Annotated
/// tip
Prefer to use the `Annotated` version if possible.
///
```Python hl_lines="7-12 16"
{!> ../../../docs_src/header_param_models/tutorial001_py310.py!}
```
////
//// tab | Python 3.9+ non-Annotated
/// tip
Prefer to use the `Annotated` version if possible.
///
```Python hl_lines="9-14 18"
{!> ../../../docs_src/header_param_models/tutorial001_py39.py!}
```
////
//// tab | Python 3.8+ non-Annotated
/// tip
Prefer to use the `Annotated` version if possible.
///
```Python hl_lines="7-12 16"
{!> ../../../docs_src/header_param_models/tutorial001_py310.py!}
```
////
**FastAPI** will **extract** the data for **each field** from the **headers** in the request and give you the Pydantic model you defined.
## Check the Docs
You can see the required headers in the docs UI at `/docs`:
<div class="screenshot">
<img src="/img/tutorial/header-param-models/image01.png">
</div>
## Forbid Extra Headers
In some special use cases (probably not very common), you might want to **restrict** the headers that you want to receive.
You can use Pydantic's model configuration to `forbid` any `extra` fields:
//// tab | Python 3.10+
```Python hl_lines="10"
{!> ../../../docs_src/header_param_models/tutorial002_an_py310.py!}
```
////
//// tab | Python 3.9+
```Python hl_lines="10"
{!> ../../../docs_src/header_param_models/tutorial002_an_py39.py!}
```
////
//// tab | Python 3.8+
```Python hl_lines="11"
{!> ../../../docs_src/header_param_models/tutorial002_an.py!}
```
////
//// tab | Python 3.10+ non-Annotated
/// tip
Prefer to use the `Annotated` version if possible.
///
```Python hl_lines="8"
{!> ../../../docs_src/header_param_models/tutorial002_py310.py!}
```
////
//// tab | Python 3.9+ non-Annotated
/// tip
Prefer to use the `Annotated` version if possible.
///
```Python hl_lines="10"
{!> ../../../docs_src/header_param_models/tutorial002_py39.py!}
```
////
//// tab | Python 3.8+ non-Annotated
/// tip
Prefer to use the `Annotated` version if possible.
///
```Python hl_lines="10"
{!> ../../../docs_src/header_param_models/tutorial002.py!}
```
////
If a client tries to send some **extra headers**, they will receive an **error** response.
For example, if the client tries to send a `tool` header with a value of `plumbus`, they will receive an **error** response telling them that the header parameter `tool` is not allowed:
```json
{
"detail": [
{
"type": "extra_forbidden",
"loc": ["header", "tool"],
"msg": "Extra inputs are not permitted",
"input": "plumbus",
}
]
}
```
## Summary
You can use **Pydantic models** to declare **headers** in **FastAPI**. 😎

196
docs/en/docs/tutorial/query-param-models.md

@ -0,0 +1,196 @@
# Query Parameter Models
If you have a group of **query parameters** that are related, you can create a **Pydantic model** to declare them.
This would allow you to **re-use the model** in **multiple places** and also to declare validations and metadata for all the parameters at once. 😎
/// note
This is supported since FastAPI version `0.115.0`. 🤓
///
## Query Parameters with a Pydantic Model
Declare the **query parameters** that you need in a **Pydantic model**, and then declare the parameter as `Query`:
//// tab | Python 3.10+
```Python hl_lines="9-13 17"
{!> ../../../docs_src/query_param_models/tutorial001_an_py310.py!}
```
////
//// tab | Python 3.9+
```Python hl_lines="8-12 16"
{!> ../../../docs_src/query_param_models/tutorial001_an_py39.py!}
```
////
//// tab | Python 3.8+
```Python hl_lines="10-14 18"
{!> ../../../docs_src/query_param_models/tutorial001_an.py!}
```
////
//// tab | Python 3.10+ non-Annotated
/// tip
Prefer to use the `Annotated` version if possible.
///
```Python hl_lines="9-13 17"
{!> ../../../docs_src/query_param_models/tutorial001_py310.py!}
```
////
//// tab | Python 3.9+ non-Annotated
/// tip
Prefer to use the `Annotated` version if possible.
///
```Python hl_lines="8-12 16"
{!> ../../../docs_src/query_param_models/tutorial001_py39.py!}
```
////
//// tab | Python 3.8+ non-Annotated
/// tip
Prefer to use the `Annotated` version if possible.
///
```Python hl_lines="9-13 17"
{!> ../../../docs_src/query_param_models/tutorial001_py310.py!}
```
////
**FastAPI** will **extract** the data for **each field** from the **query parameters** in the request and give you the Pydantic model you defined.
## Check the Docs
You can see the query parameters in the docs UI at `/docs`:
<div class="screenshot">
<img src="/img/tutorial/query-param-models/image01.png">
</div>
## Forbid Extra Query Parameters
In some special use cases (probably not very common), you might want to **restrict** the query parameters that you want to receive.
You can use Pydantic's model configuration to `forbid` any `extra` fields:
//// tab | Python 3.10+
```Python hl_lines="10"
{!> ../../../docs_src/query_param_models/tutorial002_an_py310.py!}
```
////
//// tab | Python 3.9+
```Python hl_lines="9"
{!> ../../../docs_src/query_param_models/tutorial002_an_py39.py!}
```
////
//// tab | Python 3.8+
```Python hl_lines="11"
{!> ../../../docs_src/query_param_models/tutorial002_an.py!}
```
////
//// tab | Python 3.10+ non-Annotated
/// tip
Prefer to use the `Annotated` version if possible.
///
```Python hl_lines="10"
{!> ../../../docs_src/query_param_models/tutorial002_py310.py!}
```
////
//// tab | Python 3.9+ non-Annotated
/// tip
Prefer to use the `Annotated` version if possible.
///
```Python hl_lines="9"
{!> ../../../docs_src/query_param_models/tutorial002_py39.py!}
```
////
//// tab | Python 3.8+ non-Annotated
/// tip
Prefer to use the `Annotated` version if possible.
///
```Python hl_lines="11"
{!> ../../../docs_src/query_param_models/tutorial002.py!}
```
////
If a client tries to send some **extra** data in the **query parameters**, they will receive an **error** response.
For example, if the client tries to send a `tool` query parameter with a value of `plumbus`, like:
```http
https://example.com/items/?limit=10&tool=plumbus
```
They will receive an **error** response telling them that the query parameter `tool` is not allowed:
```json
{
"detail": [
{
"type": "extra_forbidden",
"loc": ["query", "tool"],
"msg": "Extra inputs are not permitted",
"input": "plumbus"
}
]
}
```
## Summary
You can use **Pydantic models** to declare **query parameters** in **FastAPI**. 😎
/// tip
Spoiler alert: you can also use Pydantic models to declare cookies and headers, but you will read about that later in the tutorial. 🤫
///

3
docs/en/mkdocs.yml

@ -118,6 +118,7 @@ nav:
- tutorial/body.md
- tutorial/query-params-str-validations.md
- tutorial/path-params-numeric-validations.md
- tutorial/query-param-models.md
- tutorial/body-multiple-params.md
- tutorial/body-fields.md
- tutorial/body-nested-models.md
@ -125,6 +126,8 @@ nav:
- tutorial/extra-data-types.md
- tutorial/cookie-params.md
- tutorial/header-params.md
- tutorial/cookie-param-models.md
- tutorial/header-param-models.md
- tutorial/response-model.md
- tutorial/extra-models.md
- tutorial/response-status-code.md

17
docs_src/cookie_param_models/tutorial001.py

@ -0,0 +1,17 @@
from typing import Union
from fastapi import Cookie, FastAPI
from pydantic import BaseModel
app = FastAPI()
class Cookies(BaseModel):
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

18
docs_src/cookie_param_models/tutorial001_an.py

@ -0,0 +1,18 @@
from typing import Union
from fastapi import Cookie, FastAPI
from pydantic import BaseModel
from typing_extensions import Annotated
app = FastAPI()
class Cookies(BaseModel):
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

17
docs_src/cookie_param_models/tutorial001_an_py310.py

@ -0,0 +1,17 @@
from typing import Annotated
from fastapi import Cookie, FastAPI
from pydantic import BaseModel
app = FastAPI()
class Cookies(BaseModel):
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

17
docs_src/cookie_param_models/tutorial001_an_py39.py

@ -0,0 +1,17 @@
from typing import Annotated, Union
from fastapi import Cookie, FastAPI
from pydantic import BaseModel
app = FastAPI()
class Cookies(BaseModel):
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

15
docs_src/cookie_param_models/tutorial001_py310.py

@ -0,0 +1,15 @@
from fastapi import Cookie, FastAPI
from pydantic import BaseModel
app = FastAPI()
class Cookies(BaseModel):
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

19
docs_src/cookie_param_models/tutorial002.py

@ -0,0 +1,19 @@
from typing import Union
from fastapi import Cookie, FastAPI
from pydantic import BaseModel
app = FastAPI()
class Cookies(BaseModel):
model_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

20
docs_src/cookie_param_models/tutorial002_an.py

@ -0,0 +1,20 @@
from typing import Union
from fastapi import Cookie, FastAPI
from pydantic import BaseModel
from typing_extensions import Annotated
app = FastAPI()
class Cookies(BaseModel):
model_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

19
docs_src/cookie_param_models/tutorial002_an_py310.py

@ -0,0 +1,19 @@
from typing import Annotated
from fastapi import Cookie, FastAPI
from pydantic import BaseModel
app = FastAPI()
class Cookies(BaseModel):
model_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

19
docs_src/cookie_param_models/tutorial002_an_py39.py

@ -0,0 +1,19 @@
from typing import Annotated, Union
from fastapi import Cookie, FastAPI
from pydantic import BaseModel
app = FastAPI()
class Cookies(BaseModel):
model_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

20
docs_src/cookie_param_models/tutorial002_pv1.py

@ -0,0 +1,20 @@
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

21
docs_src/cookie_param_models/tutorial002_pv1_an.py

@ -0,0 +1,21 @@
from typing import Union
from fastapi import Cookie, FastAPI
from pydantic import BaseModel
from typing_extensions import Annotated
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

20
docs_src/cookie_param_models/tutorial002_pv1_an_py310.py

@ -0,0 +1,20 @@
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

20
docs_src/cookie_param_models/tutorial002_pv1_an_py39.py

@ -0,0 +1,20 @@
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

18
docs_src/cookie_param_models/tutorial002_pv1_py310.py

@ -0,0 +1,18 @@
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

17
docs_src/cookie_param_models/tutorial002_py310.py

@ -0,0 +1,17 @@
from fastapi import Cookie, FastAPI
from pydantic import BaseModel
app = FastAPI()
class Cookies(BaseModel):
model_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

19
docs_src/header_param_models/tutorial001.py

@ -0,0 +1,19 @@
from typing import List, Union
from fastapi import FastAPI, Header
from pydantic import BaseModel
app = FastAPI()
class CommonHeaders(BaseModel):
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

20
docs_src/header_param_models/tutorial001_an.py

@ -0,0 +1,20 @@
from typing import List, Union
from fastapi import FastAPI, Header
from pydantic import BaseModel
from typing_extensions import Annotated
app = FastAPI()
class CommonHeaders(BaseModel):
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

19
docs_src/header_param_models/tutorial001_an_py310.py

@ -0,0 +1,19 @@
from typing import Annotated
from fastapi import FastAPI, Header
from pydantic import BaseModel
app = FastAPI()
class CommonHeaders(BaseModel):
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

19
docs_src/header_param_models/tutorial001_an_py39.py

@ -0,0 +1,19 @@
from typing import Annotated, Union
from fastapi import FastAPI, Header
from pydantic import BaseModel
app = FastAPI()
class CommonHeaders(BaseModel):
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

17
docs_src/header_param_models/tutorial001_py310.py

@ -0,0 +1,17 @@
from fastapi import FastAPI, Header
from pydantic import BaseModel
app = FastAPI()
class CommonHeaders(BaseModel):
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

19
docs_src/header_param_models/tutorial001_py39.py

@ -0,0 +1,19 @@
from typing import Union
from fastapi import FastAPI, Header
from pydantic import BaseModel
app = FastAPI()
class CommonHeaders(BaseModel):
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

21
docs_src/header_param_models/tutorial002.py

@ -0,0 +1,21 @@
from typing import List, Union
from fastapi import FastAPI, Header
from pydantic import BaseModel
app = FastAPI()
class CommonHeaders(BaseModel):
model_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

22
docs_src/header_param_models/tutorial002_an.py

@ -0,0 +1,22 @@
from typing import List, Union
from fastapi import FastAPI, Header
from pydantic import BaseModel
from typing_extensions import Annotated
app = FastAPI()
class CommonHeaders(BaseModel):
model_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

21
docs_src/header_param_models/tutorial002_an_py310.py

@ -0,0 +1,21 @@
from typing import Annotated
from fastapi import FastAPI, Header
from pydantic import BaseModel
app = FastAPI()
class CommonHeaders(BaseModel):
model_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

21
docs_src/header_param_models/tutorial002_an_py39.py

@ -0,0 +1,21 @@
from typing import Annotated, Union
from fastapi import FastAPI, Header
from pydantic import BaseModel
app = FastAPI()
class CommonHeaders(BaseModel):
model_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

22
docs_src/header_param_models/tutorial002_pv1.py

@ -0,0 +1,22 @@
from typing import List, 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

23
docs_src/header_param_models/tutorial002_pv1_an.py

@ -0,0 +1,23 @@
from typing import List, Union
from fastapi import FastAPI, Header
from pydantic import BaseModel
from typing_extensions import Annotated
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

22
docs_src/header_param_models/tutorial002_pv1_an_py310.py

@ -0,0 +1,22 @@
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

22
docs_src/header_param_models/tutorial002_pv1_an_py39.py

@ -0,0 +1,22 @@
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

20
docs_src/header_param_models/tutorial002_pv1_py310.py

@ -0,0 +1,20 @@
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

22
docs_src/header_param_models/tutorial002_pv1_py39.py

@ -0,0 +1,22 @@
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

19
docs_src/header_param_models/tutorial002_py310.py

@ -0,0 +1,19 @@
from fastapi import FastAPI, Header
from pydantic import BaseModel
app = FastAPI()
class CommonHeaders(BaseModel):
model_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

21
docs_src/header_param_models/tutorial002_py39.py

@ -0,0 +1,21 @@
from typing import Union
from fastapi import FastAPI, Header
from pydantic import BaseModel
app = FastAPI()
class CommonHeaders(BaseModel):
model_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

19
docs_src/query_param_models/tutorial001.py

@ -0,0 +1,19 @@
from typing import List
from fastapi import FastAPI, Query
from pydantic import BaseModel, Field
from typing_extensions import Literal
app = FastAPI()
class FilterParams(BaseModel):
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

19
docs_src/query_param_models/tutorial001_an.py

@ -0,0 +1,19 @@
from typing import List
from fastapi import FastAPI, Query
from pydantic import BaseModel, Field
from typing_extensions import Annotated, Literal
app = FastAPI()
class FilterParams(BaseModel):
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

18
docs_src/query_param_models/tutorial001_an_py310.py

@ -0,0 +1,18 @@
from typing import Annotated, Literal
from fastapi import FastAPI, Query
from pydantic import BaseModel, Field
app = FastAPI()
class FilterParams(BaseModel):
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

17
docs_src/query_param_models/tutorial001_an_py39.py

@ -0,0 +1,17 @@
from fastapi import FastAPI, Query
from pydantic import BaseModel, Field
from typing_extensions import Annotated, Literal
app = FastAPI()
class FilterParams(BaseModel):
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

18
docs_src/query_param_models/tutorial001_py310.py

@ -0,0 +1,18 @@
from typing import Literal
from fastapi import FastAPI, Query
from pydantic import BaseModel, Field
app = FastAPI()
class FilterParams(BaseModel):
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

17
docs_src/query_param_models/tutorial001_py39.py

@ -0,0 +1,17 @@
from fastapi import FastAPI, Query
from pydantic import BaseModel, Field
from typing_extensions import Literal
app = FastAPI()
class FilterParams(BaseModel):
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

21
docs_src/query_param_models/tutorial002.py

@ -0,0 +1,21 @@
from typing import List
from fastapi import FastAPI, Query
from pydantic import BaseModel, Field
from typing_extensions import Literal
app = FastAPI()
class FilterParams(BaseModel):
model_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

21
docs_src/query_param_models/tutorial002_an.py

@ -0,0 +1,21 @@
from typing import List
from fastapi import FastAPI, Query
from pydantic import BaseModel, Field
from typing_extensions import Annotated, Literal
app = FastAPI()
class FilterParams(BaseModel):
model_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

20
docs_src/query_param_models/tutorial002_an_py310.py

@ -0,0 +1,20 @@
from typing import Annotated, Literal
from fastapi import FastAPI, Query
from pydantic import BaseModel, Field
app = FastAPI()
class FilterParams(BaseModel):
model_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

19
docs_src/query_param_models/tutorial002_an_py39.py

@ -0,0 +1,19 @@
from fastapi import FastAPI, Query
from pydantic import BaseModel, Field
from typing_extensions import Annotated, Literal
app = FastAPI()
class FilterParams(BaseModel):
model_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

22
docs_src/query_param_models/tutorial002_pv1.py

@ -0,0 +1,22 @@
from typing import List
from fastapi import FastAPI, Query
from pydantic import BaseModel, Field
from typing_extensions import Literal
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

22
docs_src/query_param_models/tutorial002_pv1_an.py

@ -0,0 +1,22 @@
from typing import List
from fastapi import FastAPI, Query
from pydantic import BaseModel, Field
from typing_extensions import Annotated, Literal
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

21
docs_src/query_param_models/tutorial002_pv1_an_py310.py

@ -0,0 +1,21 @@
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

20
docs_src/query_param_models/tutorial002_pv1_an_py39.py

@ -0,0 +1,20 @@
from fastapi import FastAPI, Query
from pydantic import BaseModel, Field
from typing_extensions import Annotated, Literal
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

21
docs_src/query_param_models/tutorial002_pv1_py310.py

@ -0,0 +1,21 @@
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

20
docs_src/query_param_models/tutorial002_pv1_py39.py

@ -0,0 +1,20 @@
from fastapi import FastAPI, Query
from pydantic import BaseModel, Field
from typing_extensions import Literal
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

20
docs_src/query_param_models/tutorial002_py310.py

@ -0,0 +1,20 @@
from typing import Literal
from fastapi import FastAPI, Query
from pydantic import BaseModel, Field
app = FastAPI()
class FilterParams(BaseModel):
model_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

19
docs_src/query_param_models/tutorial002_py39.py

@ -0,0 +1,19 @@
from fastapi import FastAPI, Query
from pydantic import BaseModel, Field
from typing_extensions import Literal
app = FastAPI()
class FilterParams(BaseModel):
model_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

90
fastapi/dependencies/utils.py

@ -201,14 +201,23 @@ def get_flat_dependant(
return flat_dependant
def _get_flat_fields_from_params(fields: List[ModelField]) -> List[ModelField]:
if not fields:
return fields
first_field = fields[0]
if len(fields) == 1 and lenient_issubclass(first_field.type_, BaseModel):
fields_to_extract = get_cached_model_fields(first_field.type_)
return fields_to_extract
return fields
def get_flat_params(dependant: Dependant) -> List[ModelField]:
flat_dependant = get_flat_dependant(dependant, skip_repeats=True)
return (
flat_dependant.path_params
+ flat_dependant.query_params
+ flat_dependant.header_params
+ flat_dependant.cookie_params
)
path_params = _get_flat_fields_from_params(flat_dependant.path_params)
query_params = _get_flat_fields_from_params(flat_dependant.query_params)
header_params = _get_flat_fields_from_params(flat_dependant.header_params)
cookie_params = _get_flat_fields_from_params(flat_dependant.cookie_params)
return path_params + query_params + header_params + cookie_params
def get_typed_signature(call: Callable[..., Any]) -> inspect.Signature:
@ -479,7 +488,15 @@ def analyze_param(
field=field
), "Path params must be of one of the supported types"
elif isinstance(field_info, params.Query):
assert is_scalar_field(field) or is_scalar_sequence_field(field)
assert (
is_scalar_field(field)
or is_scalar_sequence_field(field)
or (
lenient_issubclass(field.type_, BaseModel)
# For Pydantic v1
and getattr(field, "shape", 1) == 1
)
)
return ParamDetails(type_annotation=type_annotation, depends=depends, field=field)
@ -686,11 +703,14 @@ def _validate_value_with_model_field(
return v_, []
def _get_multidict_value(field: ModelField, values: Mapping[str, Any]) -> Any:
def _get_multidict_value(
field: ModelField, values: Mapping[str, Any], alias: Union[str, None] = None
) -> Any:
alias = alias or field.alias
if is_sequence_field(field) and isinstance(values, (ImmutableMultiDict, Headers)):
value = values.getlist(field.alias)
value = values.getlist(alias)
else:
value = values.get(field.alias, None)
value = values.get(alias, None)
if (
value is None
or (
@ -712,7 +732,55 @@ def request_params_to_args(
received_params: Union[Mapping[str, Any], QueryParams, Headers],
) -> Tuple[Dict[str, Any], List[Any]]:
values: Dict[str, Any] = {}
errors = []
errors: List[Dict[str, Any]] = []
if not fields:
return values, errors
first_field = fields[0]
fields_to_extract = fields
single_not_embedded_field = False
if len(fields) == 1 and lenient_issubclass(first_field.type_, BaseModel):
fields_to_extract = get_cached_model_fields(first_field.type_)
single_not_embedded_field = True
params_to_process: Dict[str, Any] = {}
processed_keys = set()
for field in fields_to_extract:
alias = None
if isinstance(received_params, Headers):
# Handle fields extracted from a Pydantic Model for a header, each field
# doesn't have a FieldInfo of type Header with the default convert_underscores=True
convert_underscores = getattr(field.field_info, "convert_underscores", True)
if convert_underscores:
alias = (
field.alias
if field.alias != field.name
else field.name.replace("_", "-")
)
value = _get_multidict_value(field, received_params, alias=alias)
if value is not None:
params_to_process[field.name] = value
processed_keys.add(alias or field.alias)
processed_keys.add(field.name)
for key, value in received_params.items():
if key not in processed_keys:
params_to_process[key] = value
if single_not_embedded_field:
field_info = first_field.field_info
assert isinstance(
field_info, params.Param
), "Params must be subclasses of Param"
loc: Tuple[str, ...] = (field_info.in_.value,)
v_, errors_ = _validate_value_with_model_field(
field=first_field, value=params_to_process, values=values, loc=loc
)
return {first_field.name: v_}, errors_
for field in fields:
value = _get_multidict_value(field, received_params)
field_info = field.field_info

86
fastapi/openapi/utils.py

@ -16,11 +16,15 @@ from fastapi._compat import (
)
from fastapi.datastructures import DefaultPlaceholder
from fastapi.dependencies.models import Dependant
from fastapi.dependencies.utils import get_flat_dependant, get_flat_params
from fastapi.dependencies.utils import (
_get_flat_fields_from_params,
get_flat_dependant,
get_flat_params,
)
from fastapi.encoders import jsonable_encoder
from fastapi.openapi.constants import METHODS_WITH_BODY, REF_PREFIX, REF_TEMPLATE
from fastapi.openapi.models import OpenAPI
from fastapi.params import Body, Param
from fastapi.params import Body, ParamTypes
from fastapi.responses import Response
from fastapi.types import ModelNameMap
from fastapi.utils import (
@ -87,9 +91,9 @@ def get_openapi_security_definitions(
return security_definitions, operation_security
def get_openapi_operation_parameters(
def _get_openapi_operation_parameters(
*,
all_route_params: Sequence[ModelField],
dependant: Dependant,
schema_generator: GenerateJsonSchema,
model_name_map: ModelNameMap,
field_mapping: Dict[
@ -98,33 +102,47 @@ def get_openapi_operation_parameters(
separate_input_output_schemas: bool = True,
) -> List[Dict[str, Any]]:
parameters = []
for param in all_route_params:
field_info = param.field_info
field_info = cast(Param, field_info)
if not field_info.include_in_schema:
continue
param_schema = get_schema_from_model_field(
field=param,
schema_generator=schema_generator,
model_name_map=model_name_map,
field_mapping=field_mapping,
separate_input_output_schemas=separate_input_output_schemas,
)
parameter = {
"name": param.alias,
"in": field_info.in_.value,
"required": param.required,
"schema": param_schema,
}
if field_info.description:
parameter["description"] = field_info.description
if field_info.openapi_examples:
parameter["examples"] = jsonable_encoder(field_info.openapi_examples)
elif field_info.example != Undefined:
parameter["example"] = jsonable_encoder(field_info.example)
if field_info.deprecated:
parameter["deprecated"] = True
parameters.append(parameter)
flat_dependant = get_flat_dependant(dependant, skip_repeats=True)
path_params = _get_flat_fields_from_params(flat_dependant.path_params)
query_params = _get_flat_fields_from_params(flat_dependant.query_params)
header_params = _get_flat_fields_from_params(flat_dependant.header_params)
cookie_params = _get_flat_fields_from_params(flat_dependant.cookie_params)
parameter_groups = [
(ParamTypes.path, path_params),
(ParamTypes.query, query_params),
(ParamTypes.header, header_params),
(ParamTypes.cookie, cookie_params),
]
for param_type, param_group in parameter_groups:
for param in param_group:
field_info = param.field_info
# field_info = cast(Param, field_info)
if not getattr(field_info, "include_in_schema", True):
continue
param_schema = get_schema_from_model_field(
field=param,
schema_generator=schema_generator,
model_name_map=model_name_map,
field_mapping=field_mapping,
separate_input_output_schemas=separate_input_output_schemas,
)
parameter = {
"name": param.alias,
"in": param_type.value,
"required": param.required,
"schema": param_schema,
}
if field_info.description:
parameter["description"] = field_info.description
openapi_examples = getattr(field_info, "openapi_examples", None)
example = getattr(field_info, "example", None)
if openapi_examples:
parameter["examples"] = jsonable_encoder(openapi_examples)
elif example != Undefined:
parameter["example"] = jsonable_encoder(example)
if getattr(field_info, "deprecated", None):
parameter["deprecated"] = True
parameters.append(parameter)
return parameters
@ -247,9 +265,8 @@ def get_openapi_path(
operation.setdefault("security", []).extend(operation_security)
if security_definitions:
security_schemes.update(security_definitions)
all_route_params = get_flat_params(route.dependant)
operation_parameters = get_openapi_operation_parameters(
all_route_params=all_route_params,
operation_parameters = _get_openapi_operation_parameters(
dependant=route.dependant,
schema_generator=schema_generator,
model_name_map=model_name_map,
field_mapping=field_mapping,
@ -379,6 +396,7 @@ def get_openapi_path(
deep_dict_update(openapi_response, process_response)
openapi_response["description"] = description
http422 = str(HTTP_422_UNPROCESSABLE_ENTITY)
all_route_params = get_flat_params(route.dependant)
if (all_route_params or route.body_field) and not any(
status in operation["responses"]
for status in [http422, "4XX", "default"]

39
scripts/playwright/cookie_param_models/image01.py

@ -0,0 +1,39 @@
import subprocess
import time
import httpx
from playwright.sync_api import Playwright, sync_playwright
# Run playwright codegen to generate the code below, copy paste the sections in run()
def run(playwright: Playwright) -> None:
browser = playwright.chromium.launch(headless=False)
# Update the viewport manually
context = browser.new_context(viewport={"width": 960, "height": 1080})
browser = playwright.chromium.launch(headless=False)
context = browser.new_context()
page = context.new_page()
page.goto("http://localhost:8000/docs")
page.get_by_role("link", name="/items/").click()
# Manually add the screenshot
page.screenshot(path="docs/en/docs/img/tutorial/cookie-param-models/image01.png")
# ---------------------
context.close()
browser.close()
process = subprocess.Popen(
["fastapi", "run", "docs_src/cookie_param_models/tutorial001.py"]
)
try:
for _ in range(3):
try:
response = httpx.get("http://localhost:8000/docs")
except httpx.ConnectError:
time.sleep(1)
break
with sync_playwright() as playwright:
run(playwright)
finally:
process.terminate()

38
scripts/playwright/header_param_models/image01.py

@ -0,0 +1,38 @@
import subprocess
import time
import httpx
from playwright.sync_api import Playwright, sync_playwright
# Run playwright codegen to generate the code below, copy paste the sections in run()
def run(playwright: Playwright) -> None:
browser = playwright.chromium.launch(headless=False)
# Update the viewport manually
context = browser.new_context(viewport={"width": 960, "height": 1080})
page = context.new_page()
page.goto("http://localhost:8000/docs")
page.get_by_role("button", name="GET /items/ Read Items").click()
page.get_by_role("button", name="Try it out").click()
# Manually add the screenshot
page.screenshot(path="docs/en/docs/img/tutorial/header-param-models/image01.png")
# ---------------------
context.close()
browser.close()
process = subprocess.Popen(
["fastapi", "run", "docs_src/header_param_models/tutorial001.py"]
)
try:
for _ in range(3):
try:
response = httpx.get("http://localhost:8000/docs")
except httpx.ConnectError:
time.sleep(1)
break
with sync_playwright() as playwright:
run(playwright)
finally:
process.terminate()

41
scripts/playwright/query_param_models/image01.py

@ -0,0 +1,41 @@
import subprocess
import time
import httpx
from playwright.sync_api import Playwright, sync_playwright
# Run playwright codegen to generate the code below, copy paste the sections in run()
def run(playwright: Playwright) -> None:
browser = playwright.chromium.launch(headless=False)
# Update the viewport manually
context = browser.new_context(viewport={"width": 960, "height": 1080})
browser = playwright.chromium.launch(headless=False)
context = browser.new_context()
page = context.new_page()
page.goto("http://localhost:8000/docs")
page.get_by_role("button", name="GET /items/ Read Items").click()
page.get_by_role("button", name="Try it out").click()
page.get_by_role("heading", name="Servers").click()
# Manually add the screenshot
page.screenshot(path="docs/en/docs/img/tutorial/query-param-models/image01.png")
# ---------------------
context.close()
browser.close()
process = subprocess.Popen(
["fastapi", "run", "docs_src/query_param_models/tutorial001.py"]
)
try:
for _ in range(3):
try:
response = httpx.get("http://localhost:8000/docs")
except httpx.ConnectError:
time.sleep(1)
break
with sync_playwright() as playwright:
run(playwright)
finally:
process.terminate()

0
tests/test_tutorial/test_cookie_param_models/__init__.py

205
tests/test_tutorial/test_cookie_param_models/test_tutorial001.py

@ -0,0 +1,205 @@
import importlib
import pytest
from dirty_equals import IsDict
from fastapi.testclient import TestClient
from inline_snapshot import snapshot
from tests.utils import needs_py39, needs_py310
@pytest.fixture(
name="client",
params=[
"tutorial001",
pytest.param("tutorial001_py310", marks=needs_py310),
"tutorial001_an",
pytest.param("tutorial001_an_py39", marks=needs_py39),
pytest.param("tutorial001_an_py310", marks=needs_py310),
],
)
def get_client(request: pytest.FixtureRequest):
mod = importlib.import_module(f"docs_src.cookie_param_models.{request.param}")
client = TestClient(mod.app)
return client
def test_cookie_param_model(client: TestClient):
with client as c:
c.cookies.set("session_id", "123")
c.cookies.set("fatebook_tracker", "456")
c.cookies.set("googall_tracker", "789")
response = c.get("/items/")
assert response.status_code == 200
assert response.json() == {
"session_id": "123",
"fatebook_tracker": "456",
"googall_tracker": "789",
}
def test_cookie_param_model_defaults(client: TestClient):
with client as c:
c.cookies.set("session_id", "123")
response = c.get("/items/")
assert response.status_code == 200
assert response.json() == {
"session_id": "123",
"fatebook_tracker": None,
"googall_tracker": None,
}
def test_cookie_param_model_invalid(client: TestClient):
response = client.get("/items/")
assert response.status_code == 422
assert response.json() == snapshot(
IsDict(
{
"detail": [
{
"type": "missing",
"loc": ["cookie", "session_id"],
"msg": "Field required",
"input": {},
}
]
}
)
| IsDict(
# TODO: remove when deprecating Pydantic v1
{
"detail": [
{
"type": "value_error.missing",
"loc": ["cookie", "session_id"],
"msg": "field required",
}
]
}
)
)
def test_cookie_param_model_extra(client: TestClient):
with client as c:
c.cookies.set("session_id", "123")
c.cookies.set("extra", "track-me-here-too")
response = c.get("/items/")
assert response.status_code == 200
assert response.json() == snapshot(
{"session_id": "123", "fatebook_tracker": None, "googall_tracker": None}
)
def test_openapi_schema(client: TestClient):
response = client.get("/openapi.json")
assert response.status_code == 200, response.text
assert response.json() == snapshot(
{
"openapi": "3.1.0",
"info": {"title": "FastAPI", "version": "0.1.0"},
"paths": {
"/items/": {
"get": {
"summary": "Read Items",
"operationId": "read_items_items__get",
"parameters": [
{
"name": "session_id",
"in": "cookie",
"required": True,
"schema": {"type": "string", "title": "Session Id"},
},
{
"name": "fatebook_tracker",
"in": "cookie",
"required": False,
"schema": IsDict(
{
"anyOf": [{"type": "string"}, {"type": "null"}],
"title": "Fatebook Tracker",
}
)
| IsDict(
# TODO: remove when deprecating Pydantic v1
{
"type": "string",
"title": "Fatebook Tracker",
}
),
},
{
"name": "googall_tracker",
"in": "cookie",
"required": False,
"schema": IsDict(
{
"anyOf": [{"type": "string"}, {"type": "null"}],
"title": "Googall Tracker",
}
)
| IsDict(
# TODO: remove when deprecating Pydantic v1
{
"type": "string",
"title": "Googall Tracker",
}
),
},
],
"responses": {
"200": {
"description": "Successful Response",
"content": {"application/json": {"schema": {}}},
},
"422": {
"description": "Validation Error",
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/HTTPValidationError"
}
}
},
},
},
}
}
},
"components": {
"schemas": {
"HTTPValidationError": {
"properties": {
"detail": {
"items": {
"$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",
},
}
},
}
)

233
tests/test_tutorial/test_cookie_param_models/test_tutorial002.py

@ -0,0 +1,233 @@
import importlib
import pytest
from dirty_equals import IsDict
from fastapi.testclient import TestClient
from inline_snapshot import snapshot
from tests.utils import needs_py39, needs_py310, needs_pydanticv1, needs_pydanticv2
@pytest.fixture(
name="client",
params=[
pytest.param("tutorial002", marks=needs_pydanticv2),
pytest.param("tutorial002_py310", marks=[needs_py310, needs_pydanticv2]),
pytest.param("tutorial002_an", marks=needs_pydanticv2),
pytest.param("tutorial002_an_py39", marks=[needs_py39, needs_pydanticv2]),
pytest.param("tutorial002_an_py310", marks=[needs_py310, needs_pydanticv2]),
pytest.param("tutorial002_pv1", marks=[needs_pydanticv1, needs_pydanticv1]),
pytest.param("tutorial002_pv1_py310", marks=[needs_py310, needs_pydanticv1]),
pytest.param("tutorial002_pv1_an", marks=[needs_pydanticv1]),
pytest.param("tutorial002_pv1_an_py39", marks=[needs_py39, needs_pydanticv1]),
pytest.param("tutorial002_pv1_an_py310", marks=[needs_py310, needs_pydanticv1]),
],
)
def get_client(request: pytest.FixtureRequest):
mod = importlib.import_module(f"docs_src.cookie_param_models.{request.param}")
client = TestClient(mod.app)
return client
def test_cookie_param_model(client: TestClient):
with client as c:
c.cookies.set("session_id", "123")
c.cookies.set("fatebook_tracker", "456")
c.cookies.set("googall_tracker", "789")
response = c.get("/items/")
assert response.status_code == 200
assert response.json() == {
"session_id": "123",
"fatebook_tracker": "456",
"googall_tracker": "789",
}
def test_cookie_param_model_defaults(client: TestClient):
with client as c:
c.cookies.set("session_id", "123")
response = c.get("/items/")
assert response.status_code == 200
assert response.json() == {
"session_id": "123",
"fatebook_tracker": None,
"googall_tracker": None,
}
def test_cookie_param_model_invalid(client: TestClient):
response = client.get("/items/")
assert response.status_code == 422
assert response.json() == snapshot(
IsDict(
{
"detail": [
{
"type": "missing",
"loc": ["cookie", "session_id"],
"msg": "Field required",
"input": {},
}
]
}
)
| IsDict(
# TODO: remove when deprecating Pydantic v1
{
"detail": [
{
"type": "value_error.missing",
"loc": ["cookie", "session_id"],
"msg": "field required",
}
]
}
)
)
def test_cookie_param_model_extra(client: TestClient):
with client as c:
c.cookies.set("session_id", "123")
c.cookies.set("extra", "track-me-here-too")
response = c.get("/items/")
assert response.status_code == 422
assert response.json() == snapshot(
IsDict(
{
"detail": [
{
"type": "extra_forbidden",
"loc": ["cookie", "extra"],
"msg": "Extra inputs are not permitted",
"input": "track-me-here-too",
}
]
}
)
| IsDict(
# TODO: remove when deprecating Pydantic v1
{
"detail": [
{
"type": "value_error.extra",
"loc": ["cookie", "extra"],
"msg": "extra fields not permitted",
}
]
}
)
)
def test_openapi_schema(client: TestClient):
response = client.get("/openapi.json")
assert response.status_code == 200, response.text
assert response.json() == snapshot(
{
"openapi": "3.1.0",
"info": {"title": "FastAPI", "version": "0.1.0"},
"paths": {
"/items/": {
"get": {
"summary": "Read Items",
"operationId": "read_items_items__get",
"parameters": [
{
"name": "session_id",
"in": "cookie",
"required": True,
"schema": {"type": "string", "title": "Session Id"},
},
{
"name": "fatebook_tracker",
"in": "cookie",
"required": False,
"schema": IsDict(
{
"anyOf": [{"type": "string"}, {"type": "null"}],
"title": "Fatebook Tracker",
}
)
| IsDict(
# TODO: remove when deprecating Pydantic v1
{
"type": "string",
"title": "Fatebook Tracker",
}
),
},
{
"name": "googall_tracker",
"in": "cookie",
"required": False,
"schema": IsDict(
{
"anyOf": [{"type": "string"}, {"type": "null"}],
"title": "Googall Tracker",
}
)
| IsDict(
# TODO: remove when deprecating Pydantic v1
{
"type": "string",
"title": "Googall Tracker",
}
),
},
],
"responses": {
"200": {
"description": "Successful Response",
"content": {"application/json": {"schema": {}}},
},
"422": {
"description": "Validation Error",
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/HTTPValidationError"
}
}
},
},
},
}
}
},
"components": {
"schemas": {
"HTTPValidationError": {
"properties": {
"detail": {
"items": {
"$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",
},
}
},
}
)

0
tests/test_tutorial/test_header_param_models/__init__.py

238
tests/test_tutorial/test_header_param_models/test_tutorial001.py

@ -0,0 +1,238 @@
import importlib
import pytest
from dirty_equals import IsDict
from fastapi.testclient import TestClient
from inline_snapshot import snapshot
from tests.utils import needs_py39, needs_py310
@pytest.fixture(
name="client",
params=[
"tutorial001",
pytest.param("tutorial001_py39", marks=needs_py39),
pytest.param("tutorial001_py310", marks=needs_py310),
"tutorial001_an",
pytest.param("tutorial001_an_py39", marks=needs_py39),
pytest.param("tutorial001_an_py310", marks=needs_py310),
],
)
def get_client(request: pytest.FixtureRequest):
mod = importlib.import_module(f"docs_src.header_param_models.{request.param}")
client = TestClient(mod.app)
return client
def test_header_param_model(client: TestClient):
response = client.get(
"/items/",
headers=[
("save-data", "true"),
("if-modified-since", "yesterday"),
("traceparent", "123"),
("x-tag", "one"),
("x-tag", "two"),
],
)
assert response.status_code == 200
assert response.json() == {
"host": "testserver",
"save_data": True,
"if_modified_since": "yesterday",
"traceparent": "123",
"x_tag": ["one", "two"],
}
def test_header_param_model_defaults(client: TestClient):
response = client.get("/items/", headers=[("save-data", "true")])
assert response.status_code == 200
assert response.json() == {
"host": "testserver",
"save_data": True,
"if_modified_since": None,
"traceparent": None,
"x_tag": [],
}
def test_header_param_model_invalid(client: TestClient):
response = client.get("/items/")
assert response.status_code == 422
assert response.json() == snapshot(
{
"detail": [
IsDict(
{
"type": "missing",
"loc": ["header", "save_data"],
"msg": "Field required",
"input": {
"x_tag": [],
"host": "testserver",
"accept": "*/*",
"accept-encoding": "gzip, deflate",
"connection": "keep-alive",
"user-agent": "testclient",
},
}
)
| IsDict(
# TODO: remove when deprecating Pydantic v1
{
"type": "value_error.missing",
"loc": ["header", "save_data"],
"msg": "field required",
}
)
]
}
)
def test_header_param_model_extra(client: TestClient):
response = client.get(
"/items/", headers=[("save-data", "true"), ("tool", "plumbus")]
)
assert response.status_code == 200, response.text
assert response.json() == snapshot(
{
"host": "testserver",
"save_data": True,
"if_modified_since": None,
"traceparent": None,
"x_tag": [],
}
)
def test_openapi_schema(client: TestClient):
response = client.get("/openapi.json")
assert response.status_code == 200, response.text
assert response.json() == snapshot(
{
"openapi": "3.1.0",
"info": {"title": "FastAPI", "version": "0.1.0"},
"paths": {
"/items/": {
"get": {
"summary": "Read Items",
"operationId": "read_items_items__get",
"parameters": [
{
"name": "host",
"in": "header",
"required": True,
"schema": {"type": "string", "title": "Host"},
},
{
"name": "save_data",
"in": "header",
"required": True,
"schema": {"type": "boolean", "title": "Save Data"},
},
{
"name": "if_modified_since",
"in": "header",
"required": False,
"schema": IsDict(
{
"anyOf": [{"type": "string"}, {"type": "null"}],
"title": "If Modified Since",
}
)
| IsDict(
# TODO: remove when deprecating Pydantic v1
{
"type": "string",
"title": "If Modified Since",
}
),
},
{
"name": "traceparent",
"in": "header",
"required": False,
"schema": IsDict(
{
"anyOf": [{"type": "string"}, {"type": "null"}],
"title": "Traceparent",
}
)
| IsDict(
# TODO: remove when deprecating Pydantic v1
{
"type": "string",
"title": "Traceparent",
}
),
},
{
"name": "x_tag",
"in": "header",
"required": False,
"schema": {
"type": "array",
"items": {"type": "string"},
"default": [],
"title": "X Tag",
},
},
],
"responses": {
"200": {
"description": "Successful Response",
"content": {"application/json": {"schema": {}}},
},
"422": {
"description": "Validation Error",
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/HTTPValidationError"
}
}
},
},
},
}
}
},
"components": {
"schemas": {
"HTTPValidationError": {
"properties": {
"detail": {
"items": {
"$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",
},
}
},
}
)

249
tests/test_tutorial/test_header_param_models/test_tutorial002.py

@ -0,0 +1,249 @@
import importlib
import pytest
from dirty_equals import IsDict
from fastapi.testclient import TestClient
from inline_snapshot import snapshot
from tests.utils import needs_py39, needs_py310, needs_pydanticv1, needs_pydanticv2
@pytest.fixture(
name="client",
params=[
pytest.param("tutorial002", marks=needs_pydanticv2),
pytest.param("tutorial002_py310", marks=[needs_py310, needs_pydanticv2]),
pytest.param("tutorial002_an", marks=needs_pydanticv2),
pytest.param("tutorial002_an_py39", marks=[needs_py39, needs_pydanticv2]),
pytest.param("tutorial002_an_py310", marks=[needs_py310, needs_pydanticv2]),
pytest.param("tutorial002_pv1", marks=[needs_pydanticv1, needs_pydanticv1]),
pytest.param("tutorial002_pv1_py310", marks=[needs_py310, needs_pydanticv1]),
pytest.param("tutorial002_pv1_an", marks=[needs_pydanticv1]),
pytest.param("tutorial002_pv1_an_py39", marks=[needs_py39, needs_pydanticv1]),
pytest.param("tutorial002_pv1_an_py310", marks=[needs_py310, needs_pydanticv1]),
],
)
def get_client(request: pytest.FixtureRequest):
mod = importlib.import_module(f"docs_src.header_param_models.{request.param}")
client = TestClient(mod.app)
client.headers.clear()
return client
def test_header_param_model(client: TestClient):
response = client.get(
"/items/",
headers=[
("save-data", "true"),
("if-modified-since", "yesterday"),
("traceparent", "123"),
("x-tag", "one"),
("x-tag", "two"),
],
)
assert response.status_code == 200, response.text
assert response.json() == {
"host": "testserver",
"save_data": True,
"if_modified_since": "yesterday",
"traceparent": "123",
"x_tag": ["one", "two"],
}
def test_header_param_model_defaults(client: TestClient):
response = client.get("/items/", headers=[("save-data", "true")])
assert response.status_code == 200
assert response.json() == {
"host": "testserver",
"save_data": True,
"if_modified_since": None,
"traceparent": None,
"x_tag": [],
}
def test_header_param_model_invalid(client: TestClient):
response = client.get("/items/")
assert response.status_code == 422
assert response.json() == snapshot(
{
"detail": [
IsDict(
{
"type": "missing",
"loc": ["header", "save_data"],
"msg": "Field required",
"input": {"x_tag": [], "host": "testserver"},
}
)
| IsDict(
# TODO: remove when deprecating Pydantic v1
{
"type": "value_error.missing",
"loc": ["header", "save_data"],
"msg": "field required",
}
)
]
}
)
def test_header_param_model_extra(client: TestClient):
response = client.get(
"/items/", headers=[("save-data", "true"), ("tool", "plumbus")]
)
assert response.status_code == 422, response.text
assert response.json() == snapshot(
{
"detail": [
IsDict(
{
"type": "extra_forbidden",
"loc": ["header", "tool"],
"msg": "Extra inputs are not permitted",
"input": "plumbus",
}
)
| IsDict(
# TODO: remove when deprecating Pydantic v1
{
"type": "value_error.extra",
"loc": ["header", "tool"],
"msg": "extra fields not permitted",
}
)
]
}
)
def test_openapi_schema(client: TestClient):
response = client.get("/openapi.json")
assert response.status_code == 200, response.text
assert response.json() == snapshot(
{
"openapi": "3.1.0",
"info": {"title": "FastAPI", "version": "0.1.0"},
"paths": {
"/items/": {
"get": {
"summary": "Read Items",
"operationId": "read_items_items__get",
"parameters": [
{
"name": "host",
"in": "header",
"required": True,
"schema": {"type": "string", "title": "Host"},
},
{
"name": "save_data",
"in": "header",
"required": True,
"schema": {"type": "boolean", "title": "Save Data"},
},
{
"name": "if_modified_since",
"in": "header",
"required": False,
"schema": IsDict(
{
"anyOf": [{"type": "string"}, {"type": "null"}],
"title": "If Modified Since",
}
)
| IsDict(
# TODO: remove when deprecating Pydantic v1
{
"type": "string",
"title": "If Modified Since",
}
),
},
{
"name": "traceparent",
"in": "header",
"required": False,
"schema": IsDict(
{
"anyOf": [{"type": "string"}, {"type": "null"}],
"title": "Traceparent",
}
)
| IsDict(
# TODO: remove when deprecating Pydantic v1
{
"type": "string",
"title": "Traceparent",
}
),
},
{
"name": "x_tag",
"in": "header",
"required": False,
"schema": {
"type": "array",
"items": {"type": "string"},
"default": [],
"title": "X Tag",
},
},
],
"responses": {
"200": {
"description": "Successful Response",
"content": {"application/json": {"schema": {}}},
},
"422": {
"description": "Validation Error",
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/HTTPValidationError"
}
}
},
},
},
}
}
},
"components": {
"schemas": {
"HTTPValidationError": {
"properties": {
"detail": {
"items": {
"$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",
},
}
},
}
)

0
tests/test_tutorial/test_query_param_models/__init__.py

260
tests/test_tutorial/test_query_param_models/test_tutorial001.py

@ -0,0 +1,260 @@
import importlib
import pytest
from dirty_equals import IsDict
from fastapi.testclient import TestClient
from inline_snapshot import snapshot
from tests.utils import needs_py39, needs_py310
@pytest.fixture(
name="client",
params=[
"tutorial001",
pytest.param("tutorial001_py39", marks=needs_py39),
pytest.param("tutorial001_py310", marks=needs_py310),
"tutorial001_an",
pytest.param("tutorial001_an_py39", marks=needs_py39),
pytest.param("tutorial001_an_py310", marks=needs_py310),
],
)
def get_client(request: pytest.FixtureRequest):
mod = importlib.import_module(f"docs_src.query_param_models.{request.param}")
client = TestClient(mod.app)
return client
def test_query_param_model(client: TestClient):
response = client.get(
"/items/",
params={
"limit": 10,
"offset": 5,
"order_by": "updated_at",
"tags": ["tag1", "tag2"],
},
)
assert response.status_code == 200
assert response.json() == {
"limit": 10,
"offset": 5,
"order_by": "updated_at",
"tags": ["tag1", "tag2"],
}
def test_query_param_model_defaults(client: TestClient):
response = client.get("/items/")
assert response.status_code == 200
assert response.json() == {
"limit": 100,
"offset": 0,
"order_by": "created_at",
"tags": [],
}
def test_query_param_model_invalid(client: TestClient):
response = client.get(
"/items/",
params={
"limit": 150,
"offset": -1,
"order_by": "invalid",
},
)
assert response.status_code == 422
assert response.json() == snapshot(
IsDict(
{
"detail": [
{
"type": "less_than_equal",
"loc": ["query", "limit"],
"msg": "Input should be less than or equal to 100",
"input": "150",
"ctx": {"le": 100},
},
{
"type": "greater_than_equal",
"loc": ["query", "offset"],
"msg": "Input should be greater than or equal to 0",
"input": "-1",
"ctx": {"ge": 0},
},
{
"type": "literal_error",
"loc": ["query", "order_by"],
"msg": "Input should be 'created_at' or 'updated_at'",
"input": "invalid",
"ctx": {"expected": "'created_at' or 'updated_at'"},
},
]
}
)
| IsDict(
# TODO: remove when deprecating Pydantic v1
{
"detail": [
{
"type": "value_error.number.not_le",
"loc": ["query", "limit"],
"msg": "ensure this value is less than or equal to 100",
"ctx": {"limit_value": 100},
},
{
"type": "value_error.number.not_ge",
"loc": ["query", "offset"],
"msg": "ensure this value is greater than or equal to 0",
"ctx": {"limit_value": 0},
},
{
"type": "value_error.const",
"loc": ["query", "order_by"],
"msg": "unexpected value; permitted: 'created_at', 'updated_at'",
"ctx": {
"given": "invalid",
"permitted": ["created_at", "updated_at"],
},
},
]
}
)
)
def test_query_param_model_extra(client: TestClient):
response = client.get(
"/items/",
params={
"limit": 10,
"offset": 5,
"order_by": "updated_at",
"tags": ["tag1", "tag2"],
"tool": "plumbus",
},
)
assert response.status_code == 200
assert response.json() == {
"limit": 10,
"offset": 5,
"order_by": "updated_at",
"tags": ["tag1", "tag2"],
}
def test_openapi_schema(client: TestClient):
response = client.get("/openapi.json")
assert response.status_code == 200, response.text
assert response.json() == snapshot(
{
"openapi": "3.1.0",
"info": {"title": "FastAPI", "version": "0.1.0"},
"paths": {
"/items/": {
"get": {
"summary": "Read Items",
"operationId": "read_items_items__get",
"parameters": [
{
"name": "limit",
"in": "query",
"required": False,
"schema": {
"type": "integer",
"maximum": 100,
"exclusiveMinimum": 0,
"default": 100,
"title": "Limit",
},
},
{
"name": "offset",
"in": "query",
"required": False,
"schema": {
"type": "integer",
"minimum": 0,
"default": 0,
"title": "Offset",
},
},
{
"name": "order_by",
"in": "query",
"required": False,
"schema": {
"enum": ["created_at", "updated_at"],
"type": "string",
"default": "created_at",
"title": "Order By",
},
},
{
"name": "tags",
"in": "query",
"required": False,
"schema": {
"type": "array",
"items": {"type": "string"},
"default": [],
"title": "Tags",
},
},
],
"responses": {
"200": {
"description": "Successful Response",
"content": {"application/json": {"schema": {}}},
},
"422": {
"description": "Validation Error",
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/HTTPValidationError"
}
}
},
},
},
}
}
},
"components": {
"schemas": {
"HTTPValidationError": {
"properties": {
"detail": {
"items": {
"$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",
},
}
},
}
)

282
tests/test_tutorial/test_query_param_models/test_tutorial002.py

@ -0,0 +1,282 @@
import importlib
import pytest
from dirty_equals import IsDict
from fastapi.testclient import TestClient
from inline_snapshot import snapshot
from tests.utils import needs_py39, needs_py310, needs_pydanticv1, needs_pydanticv2
@pytest.fixture(
name="client",
params=[
pytest.param("tutorial002", marks=needs_pydanticv2),
pytest.param("tutorial002_py39", marks=[needs_py39, needs_pydanticv2]),
pytest.param("tutorial002_py310", marks=[needs_py310, needs_pydanticv2]),
pytest.param("tutorial002_an", marks=needs_pydanticv2),
pytest.param("tutorial002_an_py39", marks=[needs_py39, needs_pydanticv2]),
pytest.param("tutorial002_an_py310", marks=[needs_py310, needs_pydanticv2]),
pytest.param("tutorial002_pv1", marks=[needs_pydanticv1, needs_pydanticv1]),
pytest.param("tutorial002_pv1_py39", marks=[needs_py39, needs_pydanticv1]),
pytest.param("tutorial002_pv1_py310", marks=[needs_py310, needs_pydanticv1]),
pytest.param("tutorial002_pv1_an", marks=[needs_pydanticv1]),
pytest.param("tutorial002_pv1_an_py39", marks=[needs_py39, needs_pydanticv1]),
pytest.param("tutorial002_pv1_an_py310", marks=[needs_py310, needs_pydanticv1]),
],
)
def get_client(request: pytest.FixtureRequest):
mod = importlib.import_module(f"docs_src.query_param_models.{request.param}")
client = TestClient(mod.app)
return client
def test_query_param_model(client: TestClient):
response = client.get(
"/items/",
params={
"limit": 10,
"offset": 5,
"order_by": "updated_at",
"tags": ["tag1", "tag2"],
},
)
assert response.status_code == 200
assert response.json() == {
"limit": 10,
"offset": 5,
"order_by": "updated_at",
"tags": ["tag1", "tag2"],
}
def test_query_param_model_defaults(client: TestClient):
response = client.get("/items/")
assert response.status_code == 200
assert response.json() == {
"limit": 100,
"offset": 0,
"order_by": "created_at",
"tags": [],
}
def test_query_param_model_invalid(client: TestClient):
response = client.get(
"/items/",
params={
"limit": 150,
"offset": -1,
"order_by": "invalid",
},
)
assert response.status_code == 422
assert response.json() == snapshot(
IsDict(
{
"detail": [
{
"type": "less_than_equal",
"loc": ["query", "limit"],
"msg": "Input should be less than or equal to 100",
"input": "150",
"ctx": {"le": 100},
},
{
"type": "greater_than_equal",
"loc": ["query", "offset"],
"msg": "Input should be greater than or equal to 0",
"input": "-1",
"ctx": {"ge": 0},
},
{
"type": "literal_error",
"loc": ["query", "order_by"],
"msg": "Input should be 'created_at' or 'updated_at'",
"input": "invalid",
"ctx": {"expected": "'created_at' or 'updated_at'"},
},
]
}
)
| IsDict(
# TODO: remove when deprecating Pydantic v1
{
"detail": [
{
"type": "value_error.number.not_le",
"loc": ["query", "limit"],
"msg": "ensure this value is less than or equal to 100",
"ctx": {"limit_value": 100},
},
{
"type": "value_error.number.not_ge",
"loc": ["query", "offset"],
"msg": "ensure this value is greater than or equal to 0",
"ctx": {"limit_value": 0},
},
{
"type": "value_error.const",
"loc": ["query", "order_by"],
"msg": "unexpected value; permitted: 'created_at', 'updated_at'",
"ctx": {
"given": "invalid",
"permitted": ["created_at", "updated_at"],
},
},
]
}
)
)
def test_query_param_model_extra(client: TestClient):
response = client.get(
"/items/",
params={
"limit": 10,
"offset": 5,
"order_by": "updated_at",
"tags": ["tag1", "tag2"],
"tool": "plumbus",
},
)
assert response.status_code == 422
assert response.json() == snapshot(
{
"detail": [
IsDict(
{
"type": "extra_forbidden",
"loc": ["query", "tool"],
"msg": "Extra inputs are not permitted",
"input": "plumbus",
}
)
| IsDict(
# TODO: remove when deprecating Pydantic v1
{
"type": "value_error.extra",
"loc": ["query", "tool"],
"msg": "extra fields not permitted",
}
)
]
}
)
def test_openapi_schema(client: TestClient):
response = client.get("/openapi.json")
assert response.status_code == 200, response.text
assert response.json() == snapshot(
{
"openapi": "3.1.0",
"info": {"title": "FastAPI", "version": "0.1.0"},
"paths": {
"/items/": {
"get": {
"summary": "Read Items",
"operationId": "read_items_items__get",
"parameters": [
{
"name": "limit",
"in": "query",
"required": False,
"schema": {
"type": "integer",
"maximum": 100,
"exclusiveMinimum": 0,
"default": 100,
"title": "Limit",
},
},
{
"name": "offset",
"in": "query",
"required": False,
"schema": {
"type": "integer",
"minimum": 0,
"default": 0,
"title": "Offset",
},
},
{
"name": "order_by",
"in": "query",
"required": False,
"schema": {
"enum": ["created_at", "updated_at"],
"type": "string",
"default": "created_at",
"title": "Order By",
},
},
{
"name": "tags",
"in": "query",
"required": False,
"schema": {
"type": "array",
"items": {"type": "string"},
"default": [],
"title": "Tags",
},
},
],
"responses": {
"200": {
"description": "Successful Response",
"content": {"application/json": {"schema": {}}},
},
"422": {
"description": "Validation Error",
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/HTTPValidationError"
}
}
},
},
},
}
}
},
"components": {
"schemas": {
"HTTPValidationError": {
"properties": {
"detail": {
"items": {
"$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",
},
}
},
}
)
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