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, short: bool = False):
    item = {"item_id": item_id}
    if q:
        item.update({"q": q})
    if not short:
        item.update(
            {"description": "This is an amazing item that has a long description"}
        )

app = FastAPI()


@app.get("/users/{user_id}/items/{item_id}")
async def read_user_item(
    user_id: int, item_id: str, q: str | None = None, short: bool = False
):
    item = {"item_id": item_id, "owner_id": user_id}
    if q:
        item.update({"q": q})
    if not short:
        item.update(
            {"description": "This is an amazing item that has a long description"}
        )

                * `description`: A short description of the tag.
                    [CommonMark syntax](https://commonmark.org/) MAY be used for rich
                    text representation.
                * `externalDocs`: Additional external documentation for this tag. If
                    provided, it would contain a `dict` with:
                    * `description`: A short description of the target documentation.

from fastapi import FastAPI

app = FastAPI()


@app.get("/items/{item_id}")
async def read_item(item_id: str, q: str | None = None, short: bool = False):
    item = {"item_id": item_id}
    if q:
        item.update({"q": q})
    if not short:
        item.update(
            {"description": "This is an amazing item that has a long description"}
        )

app = FastAPI()


@app.get("/users/{user_id}/items/{item_id}")
async def read_user_item(
    user_id: int, item_id: str, q: Union[str, None] = None, short: bool = False
):
    item = {"item_id": item_id, "owner_id": user_id}
    if q:
        item.update({"q": q})
    if not short:
        item.update(
            {"description": "This is an amazing item that has a long description"}
        )

      # Convert package name to the short version:
      # tensorflow._api.v2.distribute.experimental to
      # tensorflow.distribute.experimental
      short_package_name = package_name.replace(f"_api.{version}.", "")
      # skip non-importable paths
      if short_package_name not in self.packages_for_skip:
        try:
          __import__(short_package_name)
        except ImportError:

                           'the JUnit-based XML with ResultStore links.')
  parser.add_argument('--print',
                      action='store_true', dest='print', default=False,
                      help='Whether to print out a short summary with the '
                           'found ResultStore links (if any).')
  parser.add_argument('-v', '--verbose',
                      action='store_true', dest='verbose', default=False,

    assert response.status_code == 422
    assert response.json() == IsDict(
        {
            "detail": [
                {
                    "type": "string_too_short",
                    "loc": ["path", "item_id"],
                    "msg": "String should have at least 3 characters",
                    "input": "fo",
                    "ctx": {"min_length": 3},
                }

                "type": "value_error.missing",
            }
        )
    ]
}
foo_is_short = {
    "detail": [
        IsDict(
            {
                "ctx": {"min_length": 1},
                "loc": ["query", "foo"],
                "msg": "String should have at least 1 character",
                "type": "string_too_short",
                "input": "",
            }
        )