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docs/en/docs/tutorial/sql-databases.md
Each instance of the `SessionLocal` class will be a database session. The class itself is not a database session yet. But once we create an instance of the `SessionLocal` class, this instance will be the actual database session. We name it `SessionLocal` to distinguish it from the `Session` we are importing from SQLAlchemy. We will use `Session` (the one imported from SQLAlchemy) later.
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docs/en/docs/advanced/settings.md
If not provided, it's `None` by default, here we provide `"World"` as the default value to use. Then you could call that Python program: <div class="termy"> ```console // Here we don't set the env var yet $ python main.py // As we didn't set the env var, we get the default value Hello World from Python // But if we create an environment variable first $ export MY_NAME="Wade Wilson"
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docs/en/docs/advanced/events.md
In our code example above, we don't use it directly, but we pass it to FastAPI for it to use it. The `lifespan` parameter of the `FastAPI` app takes an **async context manager**, so we can pass our new `lifespan` async context manager to it. ```Python hl_lines="22" {!../../../docs_src/events/tutorial003.py!} ```
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docs/en/docs/tutorial/dependencies/classes-as-dependencies.md
```Python hl_lines="11" {!> ../../../docs_src/dependencies/tutorial001.py!} ``` But then we get a `dict` in the parameter `commons` of the *path operation function*. And we know that editors can't provide a lot of support (like completion) for `dict`s, because they can't know their keys and value types. We can do better... ## What makes a dependency Up to now you have seen dependencies declared as functions.
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docs/en/docs/tutorial/bigger-applications.md
We are going to include this `APIRouter` in the main `FastAPI` app, but first, let's check the dependencies and another `APIRouter`. ## Dependencies We see that we are going to need some dependencies used in several places of the application. So we put them in their own `dependencies` module (`app/dependencies.py`).
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docs/en/docs/how-to/nosql-databases-couchbase.md
``` ## Create Pydantic models As **Couchbase** "documents" are actually just "JSON objects", we can model them with Pydantic. ### `User` model First, let's create a `User` model: ```Python hl_lines="24-28" {!../../../docs_src/nosql_databases/tutorial001.py!} ``` We will use this model in our *path operation function*, so, we don't include in it the `hashed_password`. ### `UserInDB` model
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docs/en/docs/tutorial/security/first-steps.md
We can use **OAuth2** to build that with **FastAPI**. But let's save you the time of reading the full long specification just to find those little pieces of information you need. Let's use the tools provided by **FastAPI** to handle security. ## How it looks Let's first just use the code and see how it works, and then we'll come back to understand what's happening.
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docs/en/docs/how-to/custom-request-and-route.md
We can also use this same approach to access the request body in an exception handler. All we need to do is handle the request inside a `try`/`except` block: ```Python hl_lines="13 15" {!../../../docs_src/custom_request_and_route/tutorial002.py!} ``` If an exception occurs, the`Request` instance will still be in scope, so we can read and make use of the request body when handling the error:
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docs/en/docs/how-to/async-sql-encode-databases.md
"completed": False, } ``` but it doesn't have the `id` field. So we create a new `dict`, that contains the key-value pairs from `note.dict()` with: ```Python {**note.dict()} ``` `**note.dict()` "unpacks" the key value pairs directly, so, `{**note.dict()}` would be, more or less, a copy of `note.dict()`. And then, we extend that copy `dict`, adding another key-value pair: `"id": last_record_id`: ```Python
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docs/en/docs/deployment/concepts.md
### We Make Mistakes We, as humans, make **mistakes**, all the time. Software almost *always* has **bugs** hidden in different places. 🐛 And we as developers keep improving the code as we find those bugs and as we implement new features (possibly adding new bugs too 😅). ### Small Errors Automatically Handled
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