from collections.abc import Iterable, Mapping
from enum import Enum
from typing import Annotated, Any, Callable, Optional, Union

from fastapi._compat import with_info_plain_validator_function
from fastapi.logger import logger
from pydantic import (
    AnyUrl,
    BaseModel,
    Field,
    GetJsonSchemaHandler,
)
from typing_extensions import Literal, TypedDict
from typing_extensions import deprecated as typing_deprecated

try:

from fastapi.concurrency import (
    asynccontextmanager,
    contextmanager_in_threadpool,
)
from fastapi.dependencies.models import Dependant
from fastapi.exceptions import DependencyScopeError
from fastapi.logger import logger
from fastapi.security.oauth2 import SecurityScopes
from fastapi.types import DependencyCacheKey
from fastapi.utils import create_model_field, get_path_param_names
from pydantic import BaseModel

* Use Python logger named "`fastapi`" instead of root logger. PR [#222](https://github.com/tiangolo/fastapi/pull/222) by [@euri10](https://github.com/euri10).

    in another `APIRouter` (ultimately included in the app).

    Read more about it in the
    [FastAPI docs for Bigger Applications - Multiple Files](https://fastapi.tiangolo.com/tutorial/bigger-applications/).

    ## Example

    ```python
    from fastapi import APIRouter, FastAPI

    app = FastAPI()
    router = APIRouter()

            val triggerHour = branch.determineNightlyPromotionTriggerHour() ?: return@triggers
            // for master/release branch, we trigger them on midnight (with pending change only, i.e. if there is no change, don't rigger it)
            // for old release branches, we trigger them on midnight if there is change, or unconditionally on weekends
            when {
                branch.isMaster || branch.isRelease ->
                    schedule {

    version: Literal["1", "auto"] = "auto",
) -> ModelField:
    if annotation_is_pydantic_v1(type_):
        raise PydanticV1NotSupportedError(
            "pydantic.v1 models are no longer supported by FastAPI."
            f" Please update the response model {type_!r}."
        )
    class_validators = class_validators or {}

    ) -> None:
        super().__init__(errors, endpoint_ctx=endpoint_ctx)
        self.body = body


class PydanticV1NotSupportedError(FastAPIError):
    """
    A pydantic.v1 model is used, which is no longer supported.
    """


class FastAPIDeprecationWarning(UserWarning):
    """
    A custom deprecation warning as DeprecationWarning is ignored

# TODO(mihaimaruseac): Document this option or remove if no longer needed
common --enable_platform_specific_config

# Enable XLA support by default.
common --define=with_xla_support=true

# TODO(mihaimaruseac): Document this option or remove if no longer needed
common --config=short_logs

# TODO(mihaimaruseac): Document this option or remove if no longer needed
common --config=v2

    "docs_src/dependencies/tutorial013_an_py310.py",  # temporary code example?
    "docs_src/dependencies/tutorial014_an_py310.py",  # temporary code example?
    # Pydantic v1 migration, no longer tested
    "docs_src/pydantic_v1_in_v2/tutorial001_an_py310.py",
    "docs_src/pydantic_v1_in_v2/tutorial001_an_py39.py",
    "docs_src/pydantic_v1_in_v2/tutorial002_an_py310.py",

        # Delete a hero
        response = client.delete(f"/heroes/{hero_id}")
        assert response.status_code == 200, response.text
        assert response.json() == snapshot({"ok": True})

        # The hero is no longer found
        response = client.get(f"/heroes/{hero_id}")
        assert response.status_code == 404, response.text

        # Delete a hero that does not exist
        response = client.delete(f"/heroes/{hero_id}")