from strawberry.asgi import GraphQL


@strawberry.type
class User:
    name: str
    age: int


@strawberry.type
class Query:
    @strawberry.field
    def user(self) -> User:
        return User(name="Patrick", age=100)


schema = strawberry.Schema(query=Query)


graphql_app = GraphQL(schema)

app = FastAPI()
app.add_route("/graphql", graphql_app)

[files]
extend-exclude = [
    ".git/",
    "docs/",
    "CREDITS",
    "go.mod",
    "go.sum",
]
ignore-hidden = false

[default]
extend-ignore-re = [
    "Patrick Collison",
    "Copyright 2014 Unknwon",
    "[0-9A-Za-z/+=]{64}",
    "ZXJuZXQxDjAMBgNVBA-some-junk-Q4wDAYDVQQLEwVNaW5pbzEOMAwGA1UEAxMF",
    "eyJmb28iOiJiYXIifQ",
    "eyJ0eXAiOiJKV1QiLCJhbGciOiJSUzI1NiJ9.*",
    "MIIDBTCCAe2gAwIBAgIQWHw7h.*",

Copyright (c) 2013, Patrick Mezard
All rights reserved.

Redistribution and use in source and binary forms, with or without
modification, are permitted provided that the following conditions are
met:

    Redistributions of source code must retain the above copyright
notice, this list of conditions and the following disclaimer.
    Redistributions in binary form must reproduce the above copyright

import java.util.Arrays;
import java.util.Random;
import junit.framework.TestCase;

/**
 * Unit tests for {@link Crc32c}. Known test values are from RFC 3720, Section B.4.
 *
 * @author Patrick Costello
 * @author Kurt Alfred Kluever
 */
public class Crc32cHashFunctionTest extends TestCase {
  public void testEmpty() {
    assertCrc(0, new byte[0]);
  }

  public void testZeros() {

import java.util.Arrays;
import java.util.Random;
import junit.framework.TestCase;

/**
 * Unit tests for {@link Crc32c}. Known test values are from RFC 3720, Section B.4.
 *
 * @author Patrick Costello
 * @author Kurt Alfred Kluever
 */
public class Crc32cHashFunctionTest extends TestCase {
  public void testEmpty() {
    assertCrc(0, new byte[0]);
  }

  public void testZeros() {

import com.google.caliper.Param;
import java.util.concurrent.locks.Lock;
import java.util.concurrent.locks.ReentrantLock;

/**
 * Benchmarks for {@link CycleDetectingLockFactory}.
 *
 * @author Darick Tong
 */
public class CycleDetectingLockFactoryBenchmark {

  @Param({"2", "3", "4", "5", "10"})
  int lockNestingDepth;

  CycleDetectingLockFactory factory;
  private Lock[] plainLocks;

    }
    return result;
  }

  // Helpers + main

  private byte runHashFunction(int reps, HashFunction hashFunction) {
    byte result = 0x01;
    // Trick the JVM to prevent it from using the hash function non-polymorphically
    result ^= Hashing.crc32().hashInt(reps).asBytes()[0];
    result ^= Hashing.adler32().hashInt(reps).asBytes()[0];

    }
    return result;
  }

  // Helpers + main

  private byte runHashFunction(int reps, HashFunction hashFunction) {
    byte result = 0x01;
    // Trick the JVM to prevent it from using the hash function non-polymorphically
    result ^= Hashing.crc32().hashInt(reps).asBytes()[0];
    result ^= Hashing.adler32().hashInt(reps).asBytes()[0];

Bedenken Sie, dass Datenklassen nicht alles können, was Pydantic-Modelle können.

Daher müssen Sie möglicherweise weiterhin Pydantic-Modelle verwenden.

Wenn Sie jedoch eine Menge Datenklassen herumliegen haben, ist dies ein guter Trick, um sie für eine Web-API mithilfe von FastAPI zu verwenden. 🤓

///

## Datenklassen als `response_model`

Sie können `dataclasses` auch im Parameter `response_model` verwenden:

```Python hl_lines="1  7-13  19"

/// info

Keep in mind that dataclasses can't do everything Pydantic models can do.

So, you might still need to use Pydantic models.

But if you have a bunch of dataclasses laying around, this is a nice trick to use them to power a web API using FastAPI. 🤓

///

## Dataclasses in `response_model`

You can also use `dataclasses` in the `response_model` parameter: