String, String); public boolean accept(java.io.File, String); } org/codehaus/plexus/classworlds/launcher/Configurator.class package org.codehaus.plexus.classworlds.launcher; public synchronized class Configurator { public static final String MAIN_PREFIX = main is; public static final String SET_PREFIX = set; public static final String IMPORT_PREFIX = import; public static final String LOAD_PREFIX = load; public static final String OPTIONALLY_PREFIX = optionally; private Launcher launcher; private...

## Как это выглядит

Давайте сначала просто воспользуемся кодом и посмотрим, как он работает, а затем детально разберём, что происходит.

## Создание `main.py`

Скопируйте пример в файл `main.py`:

=== "Python 3.9+"

    ```Python
    {!> ../../../docs_src/security/tutorial001_an_py39.py!}
    ```

=== "Python 3.8+"

    ```Python

                return "script,div#main,p.image,a[rel=nofollow],div[x-y=a-.:_0]";
            }
        };

        PrunedTag[] tags = fessConfig.getCrawlerDocumentHtmlPrunedTagsAsArray();
        assertTrue(matchesTag(tags[0], "<script></script>"));
        assertTrue(matchesTag(tags[0], "<script id=\\\"main\\\"></script>"));
        assertFalse(matchesTag(tags[0], "<a></a>"));

INFO:     Waiting for application startup.
INFO:     Application startup complete.
```

</div>

<details markdown="1">
<summary>About the command <code>fastapi dev main.py</code>...</summary>

The command `fastapi dev` reads your `main.py` file, detects the **FastAPI** app in it, and starts a server using <a href="https://www.uvicorn.org" class="external-link" target="_blank">Uvicorn</a>.

INFO:     Application startup complete.
```

</div>

<details markdown="1">
<summary>নির্দেশনা সম্পর্কে <code>uvicorn main:app --reload</code>...</summary>

`uvicorn main:app` নির্দেশনাটি দ্বারা বোঝায়:

- `main`: ফাইল `main.py` (পাইথন "মডিউল")।
- `app`: `app = FastAPI()` লাইন দিয়ে `main.py` এর ভিতরে তৈরি করা অবজেক্ট।
- `--reload`: কোড পরিবর্তনের পরে সার্ভার পুনরায় চালু করুন। এটি শুধুমাত্র ডেভেলপমেন্ট এর সময় ব্যবহার করুন।

You can use simple tools like `htop` to see the CPU and RAM used in your server or the amount used by each process. Or you can use more complex monitoring tools, which may be distributed across servers, etc.

## Recap

```Dockerfile
FROM python:3.7

RUN pip install fastapi uvicorn

EXPOSE 80

COPY ./app /app

CMD ["uvicorn", "app.main:app", "--host", "0.0.0.0", "--port", "80"]
```

### Crie o código **FastAPI**

* Crie um diretório `app` e entre nele.
* Crie um arquivo `main.py` com:

```Python
from fastapi import FastAPI

app = FastAPI()


@app.get("/")
def read_root():

makePolicyJob:
  securityContext:
    enabled: false
    runAsUser: 1000
    runAsGroup: 1000
  resources:
    requests:
      memory: 128Mi
  # Command to run after the main command on exit
  exitCommand: ""

## List of users to be created after minio install
##
users:
  ## Username, password and policy to be assigned to the user

### Overview

- [istio-cni Helm chart](../manifests/charts/istio-cni/templates)
    - `install-cni` daemonset - main function is to install and help the node CNI, but it is also a proper server and interacts with K8S, watching Pods for recovery.
    - `istio-cni-config` configmap with CNI plugin config to add to CNI plugin chained config

### Providing the `root_path`

To achieve this, you can use the command line option `--root-path` like:

<div class="termy">

```console
$ fastapi run main.py --root-path /api/v1

<span style="color: green;">INFO</span>:     Uvicorn running on http://127.0.0.1:8000 (Press CTRL+C to quit)
```

</div>

If you use Hypercorn, it also has the option `--root-path`.