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docs/en/docs/advanced/behind-a-proxy.md
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docs/en/docs/advanced/dataclasses.md
In this case, it's a list of `Item` dataclasses. 6. Here we are returning a dictionary that contains `items` which is a list of dataclasses. FastAPI is still capable of <abbr title="converting the data to a format that can be transmitted">serializing</abbr> the data to JSON. 7. Here the `response_model` is using a type annotation of a list of `Author` dataclasses.
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tests/test_tutorial/test_dependencies/test_tutorial008d_an.py
def test_get_no_item(client: TestClient): response = client.get("/items/foo") assert response.status_code == 404, response.text assert response.json() == {"detail": "Item not found, there's only a plumbus here"} def test_get(client: TestClient): response = client.get("/items/plumbus") assert response.status_code == 200, response.text assert response.json() == "plumbus"
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docs/en/docs/tutorial/first-steps.md
```Python hl_lines="3" {!../../../docs_src/first_steps/tutorial001.py!} ``` Here the `app` variable will be an "instance" of the class `FastAPI`. This will be the main point of interaction to create all your API. ### Step 3: create a *path operation* #### Path "Path" here refers to the last part of the URL starting from the first `/`. So, in a URL like: ```
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docs/en/docs/tutorial/response-model.md
## Return the same input data Here we are declaring a `UserIn` model, it will contain a plaintext password: === "Python 3.10+" ```Python hl_lines="7 9" {!> ../../../docs_src/response_model/tutorial002_py310.py!} ```
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docs/en/docs/how-to/async-sql-encode-databases.md
Notice that all this code is pure SQLAlchemy Core. `databases` is not doing anything here yet. ## Import and set up `databases` * Import `databases`. * Create a `DATABASE_URL`. * Create a `database` object. ```Python hl_lines="3 9 12" {!../../../docs_src/async_sql_databases/tutorial001.py!} ``` !!! tip If you were connecting to a different database (e.g. PostgreSQL), you would need to change the `DATABASE_URL`.
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docs/en/docs/fastapi-people.md
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docs_src/dependencies/tutorial008c_an.py
f"The portal gun is too dangerous to be owned by {username}" ) if item_id != "plumbus": raise HTTPException( status_code=404, detail="Item not found, there's only a plumbus here" )
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tests/test_tutorial/test_dependencies/test_tutorial008d.py
def test_get_no_item(client: TestClient): response = client.get("/items/foo") assert response.status_code == 404, response.text assert response.json() == {"detail": "Item not found, there's only a plumbus here"} def test_get(client: TestClient): response = client.get("/items/plumbus") assert response.status_code == 200, response.text assert response.json() == "plumbus"
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docs/en/docs/deployment/concepts.md
have to make sure that it's a single process running those previous steps *even* if afterwards, you start **multiple processes** (multiple workers) for the application itself. If those steps were run by **multiple processes**, they would **duplicate** the work by running it on **parallel**, and if the steps were something delicate like a database migration, they could cause conflicts with each other. Of course, there are some cases where there's no problem in running the previous steps multiple...
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