///

## Exécuter le programme serveur { #run-the-server-program }

Si vous avez installé un serveur ASGI manuellement, vous devrez normalement passer une chaîne d'import dans un format spécial pour qu'il importe votre application FastAPI :

<div class="termy">

```console
$ uvicorn main:app --host 0.0.0.0 --port 80

   * this feature.
   */
  KNOWN_ORDER,

  /**
   * Indicates that a collection has a different {@link Object#toString} representation than most
   * collections. If not specified, the collection tests will examine the value returned by {@link
   * Object#toString}.
   */
  NON_STANDARD_TOSTRING,

  /**
   * Indicates that the constructor or factory method of a collection, usually an immutable set,

        psOutput.forEach(line -> {
            Matcher commandLineArgsMatcher = commandLineArgsPattern.matcher(line);
            Matcher pidMatcher = pidPattern.matcher(line);
            if (commandLineArgsMatcher.find() && pidMatcher.find()) {
                String pid = pidMatcher.group(1);
                if (!MY_PID.equals(pid)) {
                    action.accept(pid, line);
                }
            }

Abhängig von Ihrem Anwendungsfall könnten Sie eine andere Bibliothek vorziehen, aber wenn Sie mich fragen würden, würde ich Ihnen wahrscheinlich empfehlen, **Strawberry** auszuprobieren.

Hier ist eine kleine Vorschau, wie Sie Strawberry mit FastAPI integrieren können:

{* ../../docs_src/graphql_/tutorial001_py310.py hl[3,22,25] *}

Si vous l'exécutez avec :

<div class="termy">

```console
$ python myapp.py
```

</div>

alors la variable interne `__name__` de votre fichier, créée automatiquement par Python, aura pour valeur la chaîne de caractères `"__main__"`.

Ainsi, la section :

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

va s'exécuter.

---

Cela ne se produira pas si vous importez ce module (fichier).

            <version>${junit.version}</version>
        </dependency>
        <dependency>
            <groupId>org.junit.jupiter</groupId>
            <artifactId>junit-jupiter-engine</artifactId>
            <version>${junit.version}</version>
        </dependency>

        <dependency>
            <groupId>com.fasterxml.jackson.core</groupId>
            <artifactId>jackson-core</artifactId>

        Method unused = clazz.getDeclaredMethod("writeReplace");
        continue; // It overrides writeReplace, so it's safe.
      } catch (NoSuchMethodException e) {
        // This is a class whose supertypes we want to examine. We'll do that below.
      }
      Optional<Class<?>> supersWithPackagePrivateWriteReplace =
          FluentIterable.from(TypeToken.of(clazz).getTypes())
              .transform(TypeToken::getRawType)

     */
    public static DataService<OpenSearchAccessResult> getDataService() {
        return getComponent(DATA_SERVICE);
    }

    /**
     * Gets the search engine client component.
     * @return The search engine client.
     */
    public static SearchEngineClient getSearchEngineClient() {
        return getComponent(SEARCH_ENGINE_CLIENT);
    }

    /**

# Templates { #templates }

You can use any template engine you want with **FastAPI**.

A common choice is Jinja2, the same one used by Flask and other tools.

There are utilities to configure it easily that you can use directly in your **FastAPI** application (provided by Starlette).

## Install dependencies { #install-dependencies }

Make sure you create a [virtual environment](../virtual-environments.md), activate it, and install `jinja2`:

   * start}, calling {@link #matches} for each character.
   *
   * @param sequence the character sequence to examine
   * @param start the first index to examine; must be nonnegative and no greater than {@code
   *     sequence.length()}
   * @return the index of the first matching character, guaranteed to be no less than {@code start},