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docs/en/docs/advanced/behind-a-proxy.md
In the docs UI at <a href="http://127.0.0.1:9999/api/v1/docs" class="external-link" target="_blank">http://127.0.0.1:9999/api/v1/docs</a> it would look like: <img src="/img/tutorial/behind-a-proxy/image03.png"> !!! tip The docs UI will interact with the server that you select. ### Disable automatic server from `root_path`
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docs/en/docs/tutorial/first-steps.md
<font color="#3465A4">INFO </font> Searching for package file structure from directories with <font color="#3465A4">__init__.py</font> files <font color="#3465A4">INFO </font> Importing from <font color="#75507B">/home/user/code/</font><font color="#AD7FA8">awesomeapp</font> ╭─ <font color="#8AE234"><b>Python module file</b></font> ─╮ │ │
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docs/en/docs/deployment/concepts.md
And it will work and will be useful **during development**. But if your connection to the server is lost, the **running process** will probably die. And if the server is restarted (for example after updates, or migrations from the cloud provider) you probably **won't notice it**. And because of that, you won't even know that you have to restart the process manually. So, your API will just stay dead. 😱 ### Run Automatically on Startup
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README.md
## Example upgrade Now modify the file `main.py` to receive a body from a `PUT` request. Declare the body using standard Python types, thanks to Pydantic. ```Python hl_lines="4 9-12 25-27" from typing import Union from fastapi import FastAPI from pydantic import BaseModel app = FastAPI() class Item(BaseModel): name: str price: float
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docs/en/docs/index.md
## Example upgrade Now modify the file `main.py` to receive a body from a `PUT` request. Declare the body using standard Python types, thanks to Pydantic. ```Python hl_lines="4 9-12 25-27" from typing import Union from fastapi import FastAPI from pydantic import BaseModel app = FastAPI() class Item(BaseModel): name: str price: float
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docs/en/docs/advanced/settings.md
$ 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" // And then call the program again $ python main.py // Now it can read the environment variable Hello Wade Wilson from Python ``` </div>
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docs/en/docs/deployment/docker.md
```{ .dockerfile .annotate } # (1) FROM python:3.9 as requirements-stage # (2) WORKDIR /tmp # (3) RUN pip install poetry # (4) COPY ./pyproject.toml ./poetry.lock* /tmp/ # (5) RUN poetry export -f requirements.txt --output requirements.txt --without-hashes # (6) FROM python:3.9 # (7) WORKDIR /code # (8)
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