from typing import Annotated, Union

from fastapi import FastAPI, Query

app = FastAPI()


@app.get("/items/")
async def read_items(q: Annotated[Union[list[str], None], Query()] = None):
    query_items = {"q": q}

	ctx, cancel := context.WithTimeout(ctx, defaultContextTimeout)
	defer cancel()
	//  Retrieve all keys and values to avoid too many calls to etcd in case of
	//  a large number of policies
	r, err := ies.client.Get(ctx, iamConfigPoliciesPrefix, etcd.WithPrefix())
	if err != nil {
		return err
	}

	// Parse all values to construct the policies data model.
	for _, kvs := range r.Kvs {

class User(BaseModel):
    username: str
    email: str


@app.post("/items/", response_model=ResponseMessage, tags=["items"])
async def create_item(item: Item):
    return {"message": "Item received"}


@app.get("/items/", response_model=list[Item], tags=["items"])
async def get_items():
    return [
        {"name": "Plumbus", "price": 3},
        {"name": "Portal Gun", "price": 9001},
    ]

from fastapi import FastAPI

app = FastAPI()


@app.on_event("shutdown")
def shutdown_event():
    with open("log.txt", mode="a") as log:
        log.write("Application shutdown")


@app.get("/items/")
async def read_items():

        members:
            - openapi_version
            - webhooks
            - state
            - dependency_overrides
            - openapi
            - websocket
            - include_router
            - get
            - put
            - post
            - delete
            - options
            - head
            - patch
            - trace
            - on_event
            - middleware

    file_path: Path = tmp_path / "large-video-file.mp4"
    tutorial009b_py39.some_file_path = str(file_path)
    test_content = b"Fake video bytes"
    file_path.write_bytes(test_content)
    response = client.get("/")

      - name: Install Graphviz (MacOS)
        if: runner.os == 'macOS'
        run: brew install graphviz

      - name: Install Graphviz (Ubuntu)
        if: runner.os == 'Linux'
        run: sudo apt-get install graphviz

      - name: Install Graphviz (Windows)
        if: runner.os == 'Windows'
        run: choco install graphviz

      - name: Checkout maven

		fd, err = openFileWithFD(dirPath, os.O_RDONLY, 0o666)
		if err != nil {
			return nil, osErrToFileErr(err)
		}
	}
	defer syscall.Close(fd)

	bufp := direntPool.Get()
	defer direntPool.Put(bufp)
	buf := *bufp

	nameTmp := direntNamePool.Get()
	defer direntNamePool.Put(nameTmp)
	tmp := *nameTmp

	boff := 0 // starting read position in buf
	nbuf := 0 // end valid data in buf

	count := opts.count

def get_body_model_name(openapi: dict[str, Any], path: str) -> str:
    body = openapi["paths"][path]["post"]["requestBody"]
    body_schema = body["content"]["application/x-www-form-urlencoded"]["schema"]

from typing import Union

from fastapi import FastAPI

app = FastAPI()


@app.get("/items/{item_id}")
async def read_item(item_id: str, q: Union[str, None] = None):
    if q:
        return {"item_id": item_id, "q": q}