#!/bin/sh -e
set -x

ruff check fastapi tests docs_src scripts --fix

                            "type": "string",
                            "format": "date-time",
                        },
                        "end_datetime": {
                            "title": "End Datetime",
                            "type": "string",
                            "format": "date-time",
                        },
                        "repeat_at": IsDict(

                                    "title": "Callback Url",
                                    "minLength": 1,
                                    "type": "string",
                                    "format": "uri",
                                }
                            )
                            # TODO: remove when deprecating Pydantic v1
                            | IsDict(
                                {

#!/usr/bin/env bash

set -e
set -x

mypy fastapi
ruff check fastapi tests docs_src scripts

                        "file": {
                            "title": "File",
                            "type": "string",
                            "description": "A file read as bytes",
                            "format": "binary",
                        }
                    },
                },
                "Body_create_upload_file_uploadfile__post": {
                    "title": "Body_create_upload_file_uploadfile__post",

                            "type": "string",
                            "format": "date-time",
                        },
                        "end_datetime": {
                            "title": "End Datetime",
                            "type": "string",
                            "format": "date-time",
                        },
                        "repeat_at": IsDict(

    In this case, it's a list of `Item` dataclasses.

6. Here we are returning a dictionary that contains `items` which is a list of dataclasses.

    FastAPI is still capable of <abbr title="converting the data to a format that can be transmitted">serializing</abbr> the data to JSON.

7. Here the `response_model` is using a type annotation of a list of `Author` dataclasses.

    Again, you can combine `dataclasses` with standard type annotations.

                                    {"type": "string", "format": "binary"},
                                    {"type": "null"},
                                ],
                            }
                        )
                        | IsDict(
                            # TODO: remove when deprecating Pydantic v1
                            {"title": "File", "type": "string", "format": "binary"}
                        )

    operation_id = f"{operation_id}_{method.lower()}"
    return operation_id


def generate_unique_id(route: "APIRoute") -> str:
    operation_id = f"{route.name}{route.path_format}"
    operation_id = re.sub(r"\W", "_", operation_id)
    assert route.methods
    operation_id = f"{operation_id}_{list(route.methods)[0].lower()}"
    return operation_id

                        "email": {
                            "title": "Email",
                            "type": "string",
                            "format": "email",
                        },
                        "full_name": IsDict(
                            {
                                "title": "Full Name",