Pydantic's `include` parameter, passed to Pydantic models to set the
            fields to include.
            """
        ),
    ] = None,
    exclude: Annotated[
        IncEx | None,
        Doc(
            """
            Pydantic's `exclude` parameter, passed to Pydantic models to set the
            fields to exclude.
            """
        ),
    ] = None,
    by_alias: Annotated[

            final Map<String, String[]> fields = new HashMap<>();
            for (final Map.Entry<String, String[]> entry : request.getParameterMap().entrySet()) {
                final String key = entry.getKey();
                if (key.startsWith("fields.")) {
                    final String[] value = simplifyArray(entry.getValue());
                    fields.put(key.substring("fields.".length()), value);
                }

        final String[] fields = getParamValueArray(request, "facet.field");
        final String[] queries = getParamValueArray(request, "facet.query");
        if (fields.length == 0 && queries.length == 0) {
            return null;
        }
        final FacetInfo facetInfo = new FacetInfo();
        facetInfo.field = fields;
        facetInfo.query = queries;

from fastapi import Depends


async def dependency_a():
    dep_a = generate_dep_a()
    try:
        yield dep_a
    finally:
        dep_a.close()


async def dependency_b(dep_a: Annotated[DepA, Depends(dependency_a)]):
    dep_b = generate_dep_b()
    try:
        yield dep_b
    finally:
        dep_b.close(dep_a)


async def dependency_c(dep_b: Annotated[DepB, Depends(dependency_b)]):

    return True


def _should_embed_body_fields(fields: list[ModelField]) -> bool:
    if not fields:
        return False
    # More than one dependency could have the same field, it would show up as multiple
    # fields but it's the same one, so count them by name
    body_param_names_set = {field.name for field in fields}
    # A top level field has to be a single field, not multiple
    if len(body_param_names_set) > 1:

///

### `yield from` { #yield-from }

Bir şeyin (ör. dosya benzeri bir nesne) üzerinde iterate ederken, her öğe için `yield` yapıyorsanız, `for` döngüsünü yazmak yerine `yield from` ile her öğeyi doğrudan yield edebilirsiniz.

Bu FastAPI'ye özgü değildir, tamamen Python'dur, ama bilinmesi güzel bir püf noktasıdır. 😎

La première chose à remarquer est que nous définissons une fonction async avec `yield`. C'est très similaire aux Dépendances avec `yield`.

{* ../../docs_src/events/tutorial003_py310.py hl[14:19] *}

La première partie de la fonction, avant le `yield`, sera exécutée **avant** le démarrage de l'application.

Et la partie après le `yield` sera exécutée **après** que l'application a terminé.

     *
     * @param index The index name
     * @param documents The documents to index
     * @param supportedFields The supported fields
     * @param tagFieldNames The tag field names
     * @param roleFieldName The role field name
     * @param langFieldName The language field name
     * @param badWords The bad words array
     * @return The SuggestIndexResponse
     */

///

### `yield from` { #yield-from }

Коли ви ітеруєтеся по чомусь, наприклад по об'єкту, подібному до файлу, і робите `yield` для кожного елемента, можна також використати `yield from`, щоб віддавати кожен елемент напряму і пропустити цикл `for`.

Це не специфічно для FastAPI, це просто Python, але корисний трюк. 😎

    for item in items:
        yield item


@app.get("/items/stream-no-async", response_class=EventSourceResponse)
def sse_items_no_async() -> Iterable[Item]:
    for item in items:
        yield item


@app.get("/items/stream-no-annotation", response_class=EventSourceResponse)
async def sse_items_no_annotation():
    for item in items:
        yield item