This is the preferred method for any new dashboards.

## Legacy Dashboards

Many of our older dashboards are manually created in the UI and exported as JSON and checked in.

## Generation

따라서 섹션

```Python
    uvicorn.run(app, host="0.0.0.0", port=8000)
```

이 실행됩니다.

---

해당 모듈(파일)을 가져오면 이런 일이 발생하지 않습니다

그래서 다음과 같은 다른 파일 `importer.py`가 있는 경우:

```Python
from myapp import app

# Some more code
```

이 경우 `myapp.py` 내부의 자동 변수에는 값이 `"__main__"`인 변수 `__name__`이 없습니다.

따라서 다음 행

```Python
    uvicorn.run(app, host="0.0.0.0", port=8000)
```

        variable TF_USE_LEGACY_KERAS=1 directly or in your python program by
        import os;os.environ["TF_USE_LEGACY_KERAS"]=1. Please note that this
        will set it for all packages in your Python runtime program

*   1.  Change import of keras from tensorflow as follows
*   import tensorflow.keras as keras and import keras to import tf_keras as
    keras
* **Apple Silicon users:** If you previously installed TensorFlow using

## Detalhes técnicos

A classe `BackgroundTasks` vem diretamente de <a href="https://www.starlette.io/background/" class="external-link" target="_blank">`starlette.background`</a>.

Ela é importada/incluída diretamente no FastAPI para que você possa importá-la do `fastapi` e evitar a importação acidental da alternativa `BackgroundTask` (sem o `s` no final) de `starlette.background`.

## Use `StaticFiles`

* Importe `StaticFiles`.
* "Monte" uma instância de `StaticFiles()` em um caminho específico.

```Python hl_lines="2  6"
{!../../docs_src/static_files/tutorial001.py!}
```

/// note | "Detalhes técnicos"

Você também pode usar `from starlette.staticfiles import StaticFiles`.

# "TFCI" may optionally be set to the name of an env-type file with TFCI
# variables in it, OR may be left empty if the user has already exported the
# relevant variables in their environment. Because of 'set -o allexport' above
# (which is equivalent to "set -a"), every variable in the file is exported
# for other files to use.
#
# Separately, if TFCI is set *and* there are also additional TFCI_ variables

	{"BETWEEN_64_KB_AND_256_KB", 64 * humanize.KiByte, 256*humanize.KiByte - 1},   // not exported, for support use only
	{"BETWEEN_256_KB_AND_512_KB", 256 * humanize.KiByte, 512*humanize.KiByte - 1}, // not exported, for support use only
	{"BETWEEN_512_KB_AND_1_MB", 512 * humanize.KiByte, humanize.MiByte - 1},       // not exported, for support use only

  <version>0.1</version>

  <dependencyManagement>
    <dependencies>
      <dependency>
        <groupId>test</groupId>
        <artifactId>a</artifactId>
        <version>0.1</version>
        <scope>import</scope>
        <type>pom</type>
        <classifier>cls</classifier>
      </dependency>
    </dependencies>
  </dependencyManagement>

Você também pode usá-lo para gerar código automaticamente para clientes que se comunicam com sua API. Por exemplo, aplicativos front-end, móveis ou IoT.

## Recapitulando, passo a passo

### Passo 1: importe `FastAPI`

```Python hl_lines="1"
{!../../docs_src/first_steps/tutorial001.py!}
```

`FastAPI` é uma classe Python que fornece todas as funcionalidades para sua API.

/// note | "Detalhes técnicos"

      render: java
    validations:
      required: true

  - type: textarea
    attributes:
      label: How do you want it to be improved?
    validations:
      required: true

  - type: textarea
    attributes:
      label: Why do we need it to be improved?
    validations:
      required: true

  - type: textarea
    attributes:
      label: Example
      description: >