from fastapi import FastAPI
from fastapi.testclient import TestClient
from pydantic import BaseModel, ConfigDict, Field

app = FastAPI()


class Model(BaseModel):
    name: str = Field(alias="alias")


class ModelNoAlias(BaseModel):
    name: str

    model_config = ConfigDict(
        json_schema_extra={
            "description": (
                "response_model_by_alias=False is basically a quick hack, to support "

     * creator of the problem, the general expectation is that the hint provides sufficient information to the user to
     * track the problem back to its origin. A concrete example for such a source hint can be the file path or URL from
     * which the settings were read.
     *
     * @return The hint about the source of the problem or an empty string if unknown, never {@code null}.
     */
    String getSource();

    /**

                if (artifact.getRepository() != null) {
                    message += " from repository " + artifact.getRepository().getId();
                } else {
                    message += " from local repository";
                }
                getLogger().debug(message);
            } else {

    class IntegrationTests {

        @Test
        @DisplayName("should inherit behavior from AbstractUpgradeGoal")
        void shouldInheritBehaviorFromAbstractUpgradeGoal() {
            // This test verifies that Apply inherits the model version logic from AbstractUpgradeGoal
            // The actual logic is tested in AbstractUpgradeGoalTest

/// note | Technical Details

You could also use `from starlette.responses import Response` or `from starlette.responses import JSONResponse`.

**FastAPI** provides the same `starlette.responses` as `fastapi.responses` just as a convenience for you, the developer. But most of the available responses come directly from Starlette.

import org.apache.maven.artifact.repository.ArtifactRepository;
import org.apache.maven.artifact.repository.metadata.RepositoryMetadataStoreException;

/**
 * Contains metadata about an artifact, and methods to retrieve/store it from an artifact repository.
 * TODO merge with artifactmetadatasource
 * TODO retrieval exception not appropriate for store
 *
 */
public interface ArtifactMetadata {
    /**

from fastapi import FastAPI
from fastapi.testclient import TestClient
from pydantic import BaseModel


class Model1(BaseModel):
    foo: str
    bar: str


class Model2(BaseModel):
    ref: Model1
    baz: str


class Model3(BaseModel):
    name: str
    age: int
    ref2: Model2


app = FastAPI()


@app.get(
    "/simple_include",
    response_model=Model2,

 */
public final class ModelVersionUtils {

    private ModelVersionUtils() {
        // Utility class
    }

    /**
     * Detects the model version from a POM document.
     * Uses both the modelVersion element and namespace URI for detection.
     *
     * @param pomDocument the POM document (domtrip Document)
     * @return the detected model version
     */

from typing import Annotated

import pytest
from fastapi import FastAPI, File, UploadFile
from fastapi.testclient import TestClient

from .utils import get_body_model_name

app = FastAPI()

# =====================================================================================
# Without aliases


@app.post("/list-bytes", operation_id="list_bytes")
async def read_list_bytes(p: Annotated[list[bytes], File()]):

from fastapi import FastAPI, File, UploadFile
from fastapi.responses import HTMLResponse

app = FastAPI()


@app.post("/files/")
async def create_files(files: list[bytes] = File()):
    return {"file_sizes": [len(file) for file in files]}


@app.post("/uploadfiles/")
async def create_upload_files(files: list[UploadFile]):
    return {"filenames": [file.filename for file in files]}


@app.get("/")
async def main():