description: FastAPI best practices and conventions. Use when working with FastAPI APIs and Pydantic models for them. Keeps FastAPI code clean and up to date with the latest features and patterns, updated with new versions. Write new code or refactor and update old code.
---

# FastAPI

Official FastAPI skill to write code with best practices, keeping up to date with new versions and features.

## Use the `fastapi` CLI

        void callback(CQ query);
    }

    @FunctionalInterface
    public interface ScoreFunctionCall<CC extends ScoreFunctionCreator<?>> {

        void callback(CC creator);
    }

    @FunctionalInterface
    public interface ScoreFunctionCreator<T extends EsAbstractConditionQuery> {
        void filter(final OperatorCall<T> cqLambda, final ScoreFunctionBuilder<?> scoreFunctionBuilder);

Later you will see how **powerful** it can be.

/// tip

The fact that this is **standard Python** means that you will still get the **best possible developer experience** in your editor, with the tools you use to analyze and refactor your code, etc. ✨

And also that your code will be very compatible with many other Python tools and libraries. 🚀

///

## Type hints in **FastAPI** { #type-hints-in-fastapi }

     */
    public static CrawlerClientFactory getCrawlerClientFactory() {
        return getComponent(CrawlerClientFactory.class);
    }

    /**
     * Gets the crawler client creator component.
     * @return The crawler client creator.
     */
    public static CrawlerClientCreator getCrawlerClientCreator() {
        return getComponent(CrawlerClientCreator.class);
    }

    /**

## Qué hace a una dependencia { #what-makes-a-dependency }

Hasta ahora has visto dependencias declaradas como funciones.

Pero esa no es la única forma de declarar dependencias (aunque probablemente sea la más común).

El factor clave es que una dependencia debe ser un "callable".

Un "**callable**" en Python es cualquier cosa que Python pueda "llamar" como una función.

  // Might also explore collocating all of [hash, next, predecessor, successor] fields of an
  // entry in a *single* long[], though that reduces the maximum size of the set by a factor of 2

  /**
   * Pointer to the predecessor of an entry in insertion order. ENDPOINT indicates a node is the
   * first node in insertion order; all values at indices ≥ {@link #size()} are UNSET.
   */

  // Might also explore collocating all of [hash, next, predecessor, successor] fields of an
  // entry in a *single* long[], though that reduces the maximum size of the set by a factor of 2

  /**
   * Pointer to the predecessor of an entry in insertion order. ENDPOINT indicates a node is the
   * first node in insertion order; all values at indices ≥ {@link #size()} are UNSET.
   */

Up to now you have seen dependencies declared as functions.

But that's not the only way to declare dependencies (although it would probably be the more common).

The key factor is that a dependency should be a "callable".

A "**callable**" in Python is anything that Python can "call" like a function.

   * factor, and concurrency settings.
   */
  public static <E> ConcurrentHashMultiset<E> create() {
    return create(new ConcurrentHashMap<>());
  }

  /**
   * Creates a new {@code ConcurrentHashMultiset} containing the specified elements, using the
   * default initial capacity, load factor, and concurrency settings.
   *

       *
       * The absent indicator of -1 signed becomes 2^8 - 1 unsigned, which reduces the actual max
       * size to 2^8 - 1. However, due to a load factor < 1 the limit is never approached.
       */
      byte[] hashTable = new byte[tableSize];
      Arrays.fill(hashTable, ABSENT);

      int outI = 0;
      entries:
      for (int i = 0; i < n; i++) {