assert response.json() == {
        "received": {"name": "John Doe", "email": "******@****.***"}
    }


def test_post_company_form():
    response = client.post(
        "/form-union/", data={"company_name": "Tech Corp", "industry": "Technology"}
    )
    assert response.status_code == 200, response.text
    assert response.json() == {

package main

import (
	"encoding/json"
	"errors"
	"fmt"
	"log"
	"net/http"
)

func writeErrorResponse(w http.ResponseWriter, err error) {
	w.WriteHeader(http.StatusBadRequest)
	json.NewEncoder(w).Encode(map[string]string{
		"reason": fmt.Sprintf("%v", err),
	})
}

type Resp struct {
	User               string                 `json:"user"`

이를 위해 `jsonable_encoder` 를 사용할 수 있습니다.

Pydantic 모델과 같은 객체를 받고 JSON 호환 가능한 버전으로 반환합니다:

{* ../../docs_src/encoder/tutorial001.py hl[5,22] *}

이 예시는 Pydantic 모델을 `dict`로, `datetime` 형식을 `str`로 변환합니다.

이렇게 호출한 결과는 파이썬 표준인 <a href="https://docs.python.org/3/library/json.html#json.dumps" class="external-link" target="_blank">`json.dumps()`</a>로 인코딩 할 수 있습니다.

    response = client.get("/users/me")
    assert response.status_code == 200, response.text
    assert response.json() == {"username": "secret"}


def test_security_api_key_no_key():
    client = TestClient(app)
    response = client.get("/users/me")
    assert response.status_code == 401, response.text
    assert response.json() == {"detail": "Not authenticated"}
    assert response.headers["WWW-Authenticate"] == "APIKey"

///

## Über „Formularfelder“ { #about-form-fields }

HTML-Formulare (`<form></form>`) senden die Daten in einer „speziellen“ Kodierung zum Server, die sich von JSON unterscheidet.

**FastAPI** stellt sicher, dass diese Daten korrekt ausgelesen werden, statt JSON zu erwarten.

/// note | Technische Details

    response = client.put(
        "/items/5",
        json={
            "item": {
                "name": "Foo",
                "price": 50.5,
                "description": "Some Foo",
                "tax": 0.1,
            },
            "user": {"username": "johndoe", "full_name": "John Doe"},
        },
    )
    assert response.status_code == 200
    assert response.json() == {
        "item_id": 5,
        "item": {

    assert response.status_code == 200, response.text
    assert response.json() == ["Rick", "Morty"]


def test_dummy_webhook():
    # Just for coverage
    app.webhooks.routes[0].endpoint({})


def test_openapi_schema():
    response = client.get("/openapi.json")
    assert response.status_code == 200, response.text
    assert response.json() == {
        "openapi": "3.1.0",

///

### JSON Schemas Feld `examples` { #json-schemas-examples-field }

Aber dann fügte JSON Schema ein <a href="https://json-schema.org/draft/2019-09/json-schema-validation.html#rfc.section.9.5" class="external-link" target="_blank">`examples`</a>-Feld zu einer neuen Version der Spezifikation hinzu.

package simdj

import (
	"fmt"
	"io"
	"sync"
	"sync/atomic"

	"github.com/minio/minio/internal/s3select/json"
	"github.com/minio/minio/internal/s3select/sql"
	"github.com/minio/simdjson-go"
)

// Reader - JSON record reader for S3Select.
type Reader struct {
	args    *json.ReaderArgs
	input   chan simdjson.Stream
	decoded chan simdjson.Object

	// err will only be returned after decoded has been closed.

```

## Commandline

`jstream` comes with a cli tool for quick viewing of parsed values from JSON input:

```bash
jstream -d 1 < input.json
```

```json
{"colors":["red","green","blue"],"desc":"RGB"}
{"colors":["cyan","magenta","yellow","black"],"desc":"CMYK"}
```

detailed output with `-v` option:
```bash
cat input.json | jstream -v -d -1

depth	start	end	type   | value
2	018	023	string | "RGB"