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docs/zh/docs/tutorial/security/get-current-user.md
{!../../../docs_src/security/tutorial002.py!} ``` ## 创建 `get_current_user` 依赖项 创建 `get_current_user` 依赖项。 还记得依赖项支持子依赖项吗? `get_current_user` 使用 `oauth2_scheme` 作为依赖项。 与之前直接在路径操作中的做法相同,新的 `get_current_user` 依赖项从子依赖项 `oauth2_scheme` 中接收 `str` 类型的 `token`: ```Python hl_lines="25" {!../../../docs_src/security/tutorial002.py!} ``` ## 获取用户 `get_current_user` 使用创建的(伪)工具函数,该函数接收 `str` 类型的令牌,并返回 Pydantic 的 `User` 模型:
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docs_src/app_testing/app_b_an/test_main.py
assert response.status_code == 200 assert response.json() == { "id": "foo", "title": "Foo", "description": "There goes my hero", } def test_read_item_bad_token(): response = client.get("/items/foo", headers={"X-Token": "hailhydra"}) assert response.status_code == 400 assert response.json() == {"detail": "Invalid X-Token header"}
Python - Registered: Sun May 05 07:19:11 GMT 2024 - Last Modified: Wed Mar 13 19:07:10 GMT 2024 - 1.8K bytes - Viewed (0) -
tests/test_tutorial/test_dependencies/test_tutorial012_an.py
response = client.get("/items/", headers={"X-Token": "invalid"}) assert response.status_code == 400, response.text assert response.json() == {"detail": "X-Token header invalid"} def test_get_invalid_one_users(): response = client.get("/users/", headers={"X-Token": "invalid"}) assert response.status_code == 400, response.text assert response.json() == {"detail": "X-Token header invalid"}
Python - Registered: Sun Apr 28 07:19:10 GMT 2024 - Last Modified: Thu Apr 18 19:40:57 GMT 2024 - 8.4K bytes - Viewed (0) -
tests/test_tutorial/test_request_forms/test_tutorial001_an.py
response = client.post("/login/", data={"username": "Foo", "password": "secret"}) assert response.status_code == 200 assert response.json() == {"username": "Foo"} def test_post_body_form_no_password(client: TestClient): response = client.post("/login/", data={"username": "Foo"}) assert response.status_code == 422 assert response.json() == IsDict( { "detail": [ {
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tests/test_tutorial/test_query_params_str_validations/test_tutorial010_an.py
response = client.get("/items/") assert response.status_code == 200 assert response.json() == {"items": [{"item_id": "Foo"}, {"item_id": "Bar"}]} def test_query_params_str_validations_item_query_fixedquery(client: TestClient): response = client.get("/items/", params={"item-query": "fixedquery"}) assert response.status_code == 200 assert response.json() == {
Python - Registered: Sun Apr 28 07:19:10 GMT 2024 - Last Modified: Thu Apr 18 19:40:57 GMT 2024 - 6.2K bytes - Viewed (0) -
tests/test_tutorial/test_handling_errors/test_tutorial005.py
def test_post(): data = {"title": "towel", "size": 5} response = client.post("/items/", json=data) assert response.status_code == 200, response.text assert response.json() == data def test_openapi_schema(): response = client.get("/openapi.json") assert response.status_code == 200, response.text assert response.json() == { "openapi": "3.1.0", "info": {"title": "FastAPI", "version": "0.1.0"},
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tests/test_tutorial/test_query_params/test_tutorial006_py310.py
response = client.get("/items/foo?needy=very") assert response.status_code == 200 assert response.json() == { "item_id": "foo", "needy": "very", "skip": 0, "limit": None, } @needs_py310 def test_foo_no_needy(client: TestClient): response = client.get("/items/foo?skip=a&limit=b") assert response.status_code == 422 assert response.json() == IsDict( {
Python - Registered: Sun Apr 28 07:19:10 GMT 2024 - Last Modified: Thu Apr 18 19:40:57 GMT 2024 - 6.2K bytes - Viewed (0) -
tests/test_tutorial/test_extra_data_types/test_tutorial001.py
} ) response = client.put(f"/items/{item_id}", json=data) assert response.status_code == 200, response.text assert response.json() == expected_response def test_openapi_schema(): response = client.get("/openapi.json") assert response.status_code == 200, response.text assert response.json() == { "openapi": "3.1.0", "info": {"title": "FastAPI", "version": "0.1.0"},
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docs/zh/docs/tutorial/body-updates.md
`PATCH` 没有 `PUT` 知名,也怎么不常用。 很多人甚至只用 `PUT` 实现部分更新。 **FastAPI** 对此没有任何限制,可以**随意**互换使用这两种操作。 但本指南也会分别介绍这两种操作各自的用途。 ### 使用 Pydantic 的 `exclude_unset` 参数 更新部分数据时,可以在 Pydantic 模型的 `.dict()` 中使用 `exclude_unset` 参数。 比如,`item.dict(exclude_unset=True)`。 这段代码生成的 `dict` 只包含创建 `item` 模型时显式设置的数据,而不包括默认值。 然后再用它生成一个只含已设置(在请求中所发送)数据,且省略了默认值的 `dict`: ```Python hl_lines="34"
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docs/zh/docs/tutorial/response-model.md
* `tags: List[str] = []` 具有一个空列表作为默认值: `[]`. 但如果它们并没有存储实际的值,你可能想从结果中忽略它们的默认值。 举个例子,当你在 NoSQL 数据库中保存了具有许多可选属性的模型,但你又不想发送充满默认值的很长的 JSON 响应。 ### 使用 `response_model_exclude_unset` 参数 你可以设置*路径操作装饰器*的 `response_model_exclude_unset=True` 参数: ```Python hl_lines="24" {!../../../docs_src/response_model/tutorial004.py!} ``` 然后响应中将不会包含那些默认值,而是仅有实际设置的值。 因此,如果你向*路径操作*发送 ID 为 `foo` 的商品的请求,则响应(不包括默认值)将为:
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