Browse Source

Refactor param extraction using Pydantic Field (#278)

*  Refactor parameter dependency using Pydantic Field

* ⬆️ Upgrade required Pydantic version with latest Shape values

*  Add tutorials and code for using Enum and Optional

*  Add tests for tutorials with new types and extra cases

* ♻️ Format, clean, and add annotations to dependencies.utils

* 📝 Update tutorial for query parameters with list defaults

*  Add tests for query param with list default
pull/279/head
Sebastián Ramírez 6 years ago
committed by GitHub
parent
commit
bd407cc4ed
No known key found for this signature in database GPG Key ID: 4AEE18F83AFDEB23
  1. BIN
      docs/img/tutorial/path-params/image03.png
  2. 21
      docs/src/path_params/tutorial005.py
  3. 11
      docs/src/query_params/tutorial007.py
  4. 11
      docs/src/query_params_str_validations/tutorial012.py
  5. 71
      docs/tutorial/path-params.md
  6. 28
      docs/tutorial/query-params-str-validations.md
  7. 36
      docs/tutorial/query-params.md
  8. 205
      fastapi/dependencies/utils.py
  9. 12
      fastapi/openapi/utils.py
  10. 2
      pyproject.toml
  11. 29
      tests/test_invalid_sequence_param.py
  12. 120
      tests/test_tutorial/test_path_params/test_tutorial005.py
  13. 95
      tests/test_tutorial/test_query_params/test_tutorial007.py
  14. 96
      tests/test_tutorial/test_query_params_str_validations/test_tutorial012.py

BIN
docs/img/tutorial/path-params/image03.png

Binary file not shown.

After

Width:  |  Height:  |  Size: 82 KiB

21
docs/src/path_params/tutorial005.py

@ -0,0 +1,21 @@
from enum import Enum
from fastapi import FastAPI
class ModelName(Enum):
alexnet = "alexnet"
resnet = "resnet"
lenet = "lenet"
app = FastAPI()
@app.get("/model/{model_name}")
async def get_model(model_name: ModelName):
if model_name == ModelName.alexnet:
return {"model_name": model_name, "message": "Deep Learning FTW!"}
if model_name.value == "lenet":
return {"model_name": model_name, "message": "LeCNN all the images"}
return {"model_name": model_name, "message": "Have some residuals"}

11
docs/src/query_params/tutorial007.py

@ -0,0 +1,11 @@
from typing import Optional
from fastapi import FastAPI
app = FastAPI()
@app.get("/items/{item_id}")
async def read_user_item(item_id: str, limit: Optional[int] = None):
item = {"item_id": item_id, "limit": limit}
return item

11
docs/src/query_params_str_validations/tutorial012.py

@ -0,0 +1,11 @@
from typing import List
from fastapi import FastAPI, Query
app = FastAPI()
@app.get("/items/")
async def read_items(q: List[str] = Query(["foo", "bar"])):
query_items = {"q": q}
return query_items

71
docs/tutorial/path-params.md

@ -61,7 +61,6 @@ because the path parameter `item_id` had a value of `"foo"`, which is not an `in
The same error would appear if you provided a `float` instead of an int, as in: <a href="http://127.0.0.1:8000/items/4.2" target="_blank">http://127.0.0.1:8000/items/4.2</a>
!!! check
So, with the same Python type declaration, **FastAPI** gives you data validation.
@ -96,8 +95,7 @@ All the data validation is performed under the hood by <a href="https://pydantic
You can use the same type declarations with `str`, `float`, `bool` and many other complex data types.
These are explored in the next chapters of the tutorial.
Several of these are explored in the next chapters of the tutorial.
## Order matters
@ -115,6 +113,73 @@ Because path operations are evaluated in order, you need to make sure that the p
Otherwise, the path for `/users/{user_id}` would match also for `/users/me`, "thinking" that it's receiving a parameter `user_id` with a value of `"me"`.
## Predefined values
If you have a *path operation* that receives a *path parameter*, but you want the possible valid *path parameter* values to be predefined, you can use a standard Python <abbr title="Enumeration">`Enum`</abbr>.
### Create an `Enum` class
Import `Enum` and create a sub-class that inherits from it.
And create class attributes with fixed values, those fixed values will be the available valid values:
```Python hl_lines="1 6 7 8 9"
{!./src/path_params/tutorial005.py!}
```
!!! info
<a href="https://docs.python.org/3/library/enum.html" target="_blank">Enumerations (or enums) are available in Python</a> since version 3.4.
!!! tip
If you are wondering, "AlexNet", "ResNet", and "LeNet" are just names of Machine Learning <abbr title="Technically, Deep Learning model architectures">models</abbr>.
### Declare a *path parameter*
Then create a *path parameter* with a type annotation using the enum class you created (`ModelName`):
```Python hl_lines="16"
{!./src/path_params/tutorial005.py!}
```
### Check the docs
Because the available values for the *path parameter* are specified, the interactive docs can show them nicely:
<img src="/img/tutorial/path-params/image03.png">
### Working with Python *enumerations*
The value of the *path parameter* will be an *enumeration member*.
#### Compare *enumeration members*
You can compare it with the *enumeration member* in your created enum `ModelName`:
```Python hl_lines="17"
{!./src/path_params/tutorial005.py!}
```
#### Get the *enumeration value*
You can get the actual value (a `str` in this case) using `model_name.value`, or in general, `your_enum_member.value`:
```Python hl_lines="19"
{!./src/path_params/tutorial005.py!}
```
!!! tip
You could also access the value `"lenet"` with `ModelName.lenet.value`.
#### Return *enumeration members*
You can return *enum members* from your *path operation*, even nested in a JSON body (e.g. a `dict`).
They will be converted to their corresponding values before returning them to the client:
```Python hl_lines="18 20 21"
{!./src/path_params/tutorial005.py!}
```
## Path parameters containing paths
Let's say you have a *path operation* with a path `/files/{file_path}`.

28
docs/tutorial/query-params-str-validations.md

@ -12,7 +12,6 @@ The query parameter `q` is of type `str`, and by default is `None`, so it is opt
We are going to enforce that even though `q` is optional, whenever it is provided, it **doesn't exceed a length of 50 characters**.
### Import `Query`
To achieve that, first import `Query` from `fastapi`:
@ -53,7 +52,6 @@ q: str = Query(None, max_length=50)
This will validate the data, show a clear error when the data is not valid, and document the parameter in the OpenAPI schema path operation.
## Add more validations
You can also add a parameter `min_length`:
@ -156,11 +154,35 @@ So, the response to that URL would be:
!!! tip
To declare a query parameter with a type of `list`, like in the example above, you need to explicitly use `Query`, otherwise it would be interpreted as a request body.
The interactive API docs will update accordingly, to allow multiple values:
<img src="/img/tutorial/query-params-str-validations/image02.png">
### Query parameter list / multiple values with defaults
And you can also define a default `list` of values if none are provided:
```Python hl_lines="9"
{!./src/query_params_str_validations/tutorial012.py!}
```
If you go to:
```
http://localhost:8000/items/
```
the default of `q` will be: `["foo", "bar"]` and your response will be:
```JSON
{
"q": [
"foo",
"bar"
]
}
```
## Declare more metadata
You can add more information about the parameter.

36
docs/tutorial/query-params.md

@ -186,3 +186,39 @@ In this case, there are 3 query parameters:
* `needy`, a required `str`.
* `skip`, an `int` with a default value of `0`.
* `limit`, an optional `int`.
!!! tip
You could also use `Enum`s <a href="https://fastapi.tiangolo.com/tutorial/path-params/#predefined-values" target="_blank">the same way as with *path parameters*</a>.
## Optional type declarations
!!! warning
This might be an advanced use case.
You might want to skip it.
If you are using `mypy` it could complain with type declarations like:
```Python
limit: int = None
```
With an error like:
```
Incompatible types in assignment (expression has type "None", variable has type "int")
```
In those cases you can use `Optional` to tell `mypy` that the value could be `None`, like:
```Python
from typing import Optional
limit: Optional[int] = None
```
In a *path operation* that could look like:
```Python hl_lines="9"
{!./src/query_params/tutorial007.py!}
```

205
fastapi/dependencies/utils.py

@ -1,8 +1,6 @@
import asyncio
import inspect
from copy import deepcopy
from datetime import date, datetime, time, timedelta
from decimal import Decimal
from typing import (
Any,
Callable,
@ -14,8 +12,8 @@ from typing import (
Tuple,
Type,
Union,
cast,
)
from uuid import UUID
from fastapi import params
from fastapi.dependencies.models import Dependant, SecurityRequirement
@ -23,7 +21,7 @@ from fastapi.security.base import SecurityBase
from fastapi.security.oauth2 import OAuth2, SecurityScopes
from fastapi.security.open_id_connect_url import OpenIdConnect
from fastapi.utils import get_path_param_names
from pydantic import BaseConfig, Schema, create_model
from pydantic import BaseConfig, BaseModel, Schema, create_model
from pydantic.error_wrappers import ErrorWrapper
from pydantic.errors import MissingError
from pydantic.fields import Field, Required, Shape
@ -35,22 +33,21 @@ from starlette.datastructures import FormData, Headers, QueryParams, UploadFile
from starlette.requests import Request
from starlette.websockets import WebSocket
param_supported_types = (
str,
int,
float,
bool,
UUID,
date,
datetime,
time,
timedelta,
Decimal,
)
sequence_shapes = {Shape.LIST, Shape.SET, Shape.TUPLE}
sequence_shapes = {
Shape.LIST,
Shape.SET,
Shape.TUPLE,
Shape.SEQUENCE,
Shape.TUPLE_ELLIPS,
}
sequence_types = (list, set, tuple)
sequence_shape_to_type = {Shape.LIST: list, Shape.SET: set, Shape.TUPLE: tuple}
sequence_shape_to_type = {
Shape.LIST: list,
Shape.SET: set,
Shape.TUPLE: tuple,
Shape.SEQUENCE: list,
Shape.TUPLE_ELLIPS: list,
}
def get_param_sub_dependant(
@ -126,6 +123,26 @@ def get_flat_dependant(dependant: Dependant) -> Dependant:
return flat_dependant
def is_scalar_field(field: Field) -> bool:
return (
field.shape == Shape.SINGLETON
and not lenient_issubclass(field.type_, BaseModel)
and not isinstance(field.schema, params.Body)
)
def is_scalar_sequence_field(field: Field) -> 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_scalar_field(sub_field):
return False
return True
return False
def get_dependant(
*, path: str, call: Callable, name: str = None, security_scopes: List[str] = None
) -> Dependant:
@ -133,83 +150,78 @@ def get_dependant(
endpoint_signature = inspect.signature(call)
signature_params = endpoint_signature.parameters
dependant = Dependant(call=call, name=name)
for param_name in signature_params:
param = signature_params[param_name]
for param_name, param in signature_params.items():
if isinstance(param.default, params.Depends):
sub_dependant = get_param_sub_dependant(
param=param, path=path, security_scopes=security_scopes
)
dependant.dependencies.append(sub_dependant)
for param_name in signature_params:
param = signature_params[param_name]
if (
(param.default == param.empty) or isinstance(param.default, params.Path)
) and (param_name in path_param_names):
assert (
lenient_issubclass(param.annotation, param_supported_types)
or param.annotation == param.empty
for param_name, param in signature_params.items():
if isinstance(param.default, params.Depends):
continue
if add_non_field_param_to_dependency(param=param, dependant=dependant):
continue
param_field = get_param_field(param=param, default_schema=params.Query)
if param_name in path_param_names:
assert param.default == param.empty or isinstance(
param.default, params.Path
), "Path params must have no defaults or use Path(...)"
assert is_scalar_field(
field=param_field
), f"Path params must be of one of the supported types"
add_param_to_fields(
param_field = get_param_field(
param=param,
dependant=dependant,
default_schema=params.Path,
force_type=params.ParamTypes.path,
)
elif (
param.default == param.empty
or param.default is None
or isinstance(param.default, param_supported_types)
) and (
param.annotation == param.empty
or lenient_issubclass(param.annotation, param_supported_types)
):
add_param_to_fields(
param=param, dependant=dependant, default_schema=params.Query
)
elif isinstance(param.default, params.Param):
if param.annotation != param.empty:
origin = getattr(param.annotation, "__origin__", None)
param_all_types = param_supported_types + (list, tuple, set)
if isinstance(param.default, (params.Query, params.Header)):
assert lenient_issubclass(
param.annotation, param_all_types
) or lenient_issubclass(
origin, param_all_types
), f"Parameters for Query and Header must be of type str, int, float, bool, list, tuple or set: {param}"
else:
assert lenient_issubclass(
param.annotation, param_supported_types
), f"Parameters for Path and Cookies must be of type str, int, float, bool: {param}"
add_param_to_fields(
param=param, dependant=dependant, default_schema=params.Query
)
elif lenient_issubclass(param.annotation, Request):
dependant.request_param_name = param_name
elif lenient_issubclass(param.annotation, WebSocket):
dependant.websocket_param_name = param_name
elif lenient_issubclass(param.annotation, BackgroundTasks):
dependant.background_tasks_param_name = param_name
elif lenient_issubclass(param.annotation, SecurityScopes):
dependant.security_scopes_param_name = param_name
elif not isinstance(param.default, params.Depends):
add_param_to_body_fields(param=param, dependant=dependant)
add_param_to_fields(field=param_field, dependant=dependant)
elif is_scalar_field(field=param_field):
add_param_to_fields(field=param_field, dependant=dependant)
elif isinstance(
param.default, (params.Query, params.Header)
) and is_scalar_sequence_field(param_field):
add_param_to_fields(field=param_field, dependant=dependant)
else:
assert isinstance(
param_field.schema, params.Body
), f"Param: {param_field.name} can only be a request body, using Body(...)"
dependant.body_params.append(param_field)
return dependant
def add_param_to_fields(
def add_non_field_param_to_dependency(
*, param: inspect.Parameter, dependant: Dependant
) -> Optional[bool]:
if lenient_issubclass(param.annotation, Request):
dependant.request_param_name = param.name
return True
elif lenient_issubclass(param.annotation, WebSocket):
dependant.websocket_param_name = param.name
return True
elif lenient_issubclass(param.annotation, BackgroundTasks):
dependant.background_tasks_param_name = param.name
return True
elif lenient_issubclass(param.annotation, SecurityScopes):
dependant.security_scopes_param_name = param.name
return True
return None
def get_param_field(
*,
param: inspect.Parameter,
dependant: Dependant,
default_schema: Type[Schema] = params.Param,
default_schema: Type[params.Param] = params.Param,
force_type: params.ParamTypes = None,
) -> None:
) -> Field:
default_value = Required
had_schema = False
if not param.default == param.empty:
default_value = param.default
if isinstance(default_value, params.Param):
if isinstance(default_value, Schema):
had_schema = True
schema = default_value
default_value = schema.default
if getattr(schema, "in_", None) is None:
if isinstance(schema, params.Param) and getattr(schema, "in_", None) is None:
schema.in_ = default_schema.in_
if force_type:
schema.in_ = force_type
@ -234,43 +246,26 @@ def add_param_to_fields(
class_validators={},
schema=schema,
)
if schema.in_ == params.ParamTypes.path:
if not had_schema and not is_scalar_field(field=field):
field.schema = params.Body(schema.default)
return field
def add_param_to_fields(*, field: Field, dependant: Dependant) -> None:
field.schema = cast(params.Param, field.schema)
if field.schema.in_ == params.ParamTypes.path:
dependant.path_params.append(field)
elif schema.in_ == params.ParamTypes.query:
elif field.schema.in_ == params.ParamTypes.query:
dependant.query_params.append(field)
elif schema.in_ == params.ParamTypes.header:
elif field.schema.in_ == params.ParamTypes.header:
dependant.header_params.append(field)
else:
assert (
schema.in_ == params.ParamTypes.cookie
), f"non-body parameters must be in path, query, header or cookie: {param.name}"
field.schema.in_ == params.ParamTypes.cookie
), f"non-body parameters must be in path, query, header or cookie: {field.name}"
dependant.cookie_params.append(field)
def add_param_to_body_fields(*, param: inspect.Parameter, dependant: Dependant) -> None:
default_value = Required
if not param.default == param.empty:
default_value = param.default
if isinstance(default_value, Schema):
schema = default_value
default_value = schema.default
else:
schema = Schema(default_value)
required = default_value == Required
annotation = get_annotation_from_schema(param.annotation, schema)
field = Field(
name=param.name,
type_=annotation,
default=None if required else default_value,
alias=schema.alias or param.name,
required=required,
model_config=BaseConfig,
class_validators={},
schema=schema,
)
dependant.body_params.append(field)
def is_coroutine_callable(call: Callable) -> bool:
if inspect.isfunction(call):
return asyncio.iscoroutinefunction(call)
@ -354,7 +349,7 @@ def request_params_to_args(
if field.shape in sequence_shapes and isinstance(
received_params, (QueryParams, Headers)
):
value = received_params.getlist(field.alias)
value = received_params.getlist(field.alias) or field.default
else:
value = received_params.get(field.alias)
schema: params.Param = field.schema

12
fastapi/openapi/utils.py

@ -1,4 +1,4 @@
from typing import Any, Dict, List, Optional, Sequence, Tuple, Type
from typing import Any, Dict, List, Optional, Sequence, Tuple, Type, cast
from fastapi import routing
from fastapi.dependencies.models import Dependant
@ -9,7 +9,7 @@ from fastapi.openapi.models import OpenAPI
from fastapi.params import Body, Param
from fastapi.utils import get_flat_models_from_routes, get_model_definitions
from pydantic.fields import Field
from pydantic.schema import Schema, field_schema, get_model_name_map
from pydantic.schema import field_schema, get_model_name_map
from pydantic.utils import lenient_issubclass
from starlette.responses import JSONResponse
from starlette.routing import BaseRoute
@ -97,12 +97,8 @@ def get_openapi_operation_request_body(
body_schema, _ = field_schema(
body_field, model_name_map=model_name_map, ref_prefix=REF_PREFIX
)
schema: Schema = body_field.schema
if isinstance(schema, Body):
request_media_type = schema.media_type
else:
# Includes not declared media types (Schema)
request_media_type = "application/json"
body_field.schema = cast(Body, body_field.schema)
request_media_type = body_field.schema.media_type
required = body_field.required
request_body_oai: Dict[str, Any] = {}
if required:

2
pyproject.toml

@ -20,7 +20,7 @@ classifiers = [
]
requires = [
"starlette >=0.11.1,<=0.12.0",
"pydantic >=0.17,<=0.26.0"
"pydantic >=0.26,<=0.26.0"
]
description-file = "README.md"
requires-python = ">=3.6"

29
tests/test_invalid_sequence_param.py

@ -0,0 +1,29 @@
from typing import List, Tuple
import pytest
from fastapi import FastAPI, Query
from pydantic import BaseModel
def test_invalid_sequence():
with pytest.raises(AssertionError):
app = FastAPI()
class Item(BaseModel):
title: str
@app.get("/items/")
def read_items(q: List[Item] = Query(None)):
pass # pragma: no cover
def test_invalid_tuple():
with pytest.raises(AssertionError):
app = FastAPI()
class Item(BaseModel):
title: str
@app.get("/items/")
def read_items(q: Tuple[Item, Item] = Query(None)):
pass # pragma: no cover

120
tests/test_tutorial/test_path_params/test_tutorial005.py

@ -0,0 +1,120 @@
import pytest
from starlette.testclient import TestClient
from path_params.tutorial005 import app
client = TestClient(app)
openapi_schema = {
"openapi": "3.0.2",
"info": {"title": "Fast API", "version": "0.1.0"},
"paths": {
"/model/{model_name}": {
"get": {
"responses": {
"200": {
"description": "Successful Response",
"content": {"application/json": {"schema": {}}},
},
"422": {
"description": "Validation Error",
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/HTTPValidationError"
}
}
},
},
},
"summary": "Get Model",
"operationId": "get_model_model__model_name__get",
"parameters": [
{
"required": True,
"schema": {
"title": "Model_Name",
"enum": ["alexnet", "resnet", "lenet"],
},
"name": "model_name",
"in": "path",
}
],
}
}
},
"components": {
"schemas": {
"ValidationError": {
"title": "ValidationError",
"required": ["loc", "msg", "type"],
"type": "object",
"properties": {
"loc": {
"title": "Location",
"type": "array",
"items": {"type": "string"},
},
"msg": {"title": "Message", "type": "string"},
"type": {"title": "Error Type", "type": "string"},
},
},
"HTTPValidationError": {
"title": "HTTPValidationError",
"type": "object",
"properties": {
"detail": {
"title": "Detail",
"type": "array",
"items": {"$ref": "#/components/schemas/ValidationError"},
}
},
},
}
},
}
def test_openapi():
response = client.get("/openapi.json")
assert response.status_code == 200
assert response.json() == openapi_schema
@pytest.mark.parametrize(
"url,status_code,expected",
[
(
"/model/alexnet",
200,
{"model_name": "alexnet", "message": "Deep Learning FTW!"},
),
(
"/model/lenet",
200,
{"model_name": "lenet", "message": "LeCNN all the images"},
),
(
"/model/resnet",
200,
{"model_name": "resnet", "message": "Have some residuals"},
),
(
"/model/foo",
422,
{
"detail": [
{
"loc": ["path", "model_name"],
"msg": "value is not a valid enumeration member",
"type": "type_error.enum",
}
]
},
),
],
)
def test_get_enums(url, status_code, expected):
response = client.get(url)
assert response.status_code == status_code
assert response.json() == expected

95
tests/test_tutorial/test_query_params/test_tutorial007.py

@ -0,0 +1,95 @@
from starlette.testclient import TestClient
from query_params.tutorial007 import app
client = TestClient(app)
openapi_schema = {
"openapi": "3.0.2",
"info": {"title": "Fast API", "version": "0.1.0"},
"paths": {
"/items/{item_id}": {
"get": {
"responses": {
"200": {
"description": "Successful Response",
"content": {"application/json": {"schema": {}}},
},
"422": {
"description": "Validation Error",
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/HTTPValidationError"
}
}
},
},
},
"summary": "Read User Item",
"operationId": "read_user_item_items__item_id__get",
"parameters": [
{
"required": True,
"schema": {"title": "Item_Id", "type": "string"},
"name": "item_id",
"in": "path",
},
{
"required": False,
"schema": {"title": "Limit", "type": "integer"},
"name": "limit",
"in": "query",
},
],
}
}
},
"components": {
"schemas": {
"ValidationError": {
"title": "ValidationError",
"required": ["loc", "msg", "type"],
"type": "object",
"properties": {
"loc": {
"title": "Location",
"type": "array",
"items": {"type": "string"},
},
"msg": {"title": "Message", "type": "string"},
"type": {"title": "Error Type", "type": "string"},
},
},
"HTTPValidationError": {
"title": "HTTPValidationError",
"type": "object",
"properties": {
"detail": {
"title": "Detail",
"type": "array",
"items": {"$ref": "#/components/schemas/ValidationError"},
}
},
},
}
},
}
def test_openapi():
response = client.get("/openapi.json")
assert response.status_code == 200
assert response.json() == openapi_schema
def test_read_item():
response = client.get("/items/foo")
assert response.status_code == 200
assert response.json() == {"item_id": "foo", "limit": None}
def test_read_item_query():
response = client.get("/items/foo?limit=5")
assert response.status_code == 200
assert response.json() == {"item_id": "foo", "limit": 5}

96
tests/test_tutorial/test_query_params_str_validations/test_tutorial012.py

@ -0,0 +1,96 @@
from starlette.testclient import TestClient
from query_params_str_validations.tutorial012 import app
client = TestClient(app)
openapi_schema = {
"openapi": "3.0.2",
"info": {"title": "Fast API", "version": "0.1.0"},
"paths": {
"/items/": {
"get": {
"responses": {
"200": {
"description": "Successful Response",
"content": {"application/json": {"schema": {}}},
},
"422": {
"description": "Validation Error",
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/HTTPValidationError"
}
}
},
},
},
"summary": "Read Items",
"operationId": "read_items_items__get",
"parameters": [
{
"required": False,
"schema": {
"title": "Q",
"type": "array",
"items": {"type": "string"},
"default": ["foo", "bar"],
},
"name": "q",
"in": "query",
}
],
}
}
},
"components": {
"schemas": {
"ValidationError": {
"title": "ValidationError",
"required": ["loc", "msg", "type"],
"type": "object",
"properties": {
"loc": {
"title": "Location",
"type": "array",
"items": {"type": "string"},
},
"msg": {"title": "Message", "type": "string"},
"type": {"title": "Error Type", "type": "string"},
},
},
"HTTPValidationError": {
"title": "HTTPValidationError",
"type": "object",
"properties": {
"detail": {
"title": "Detail",
"type": "array",
"items": {"$ref": "#/components/schemas/ValidationError"},
}
},
},
}
},
}
def test_openapi_schema():
response = client.get("/openapi.json")
assert response.status_code == 200
assert response.json() == openapi_schema
def test_default_query_values():
url = "/items/"
response = client.get(url)
assert response.status_code == 200
assert response.json() == {"q": ["foo", "bar"]}
def test_multi_query_values():
url = "/items/?q=baz&q=foobar"
response = client.get(url)
assert response.status_code == 200
assert response.json() == {"q": ["baz", "foobar"]}
Loading…
Cancel
Save