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#
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from __future__ import annotations

import enum
from typing import TYPE_CHECKING

from airflow.typing_compat import TypedDict

if TYPE_CHECKING:
    from datetime import datetime


class ArgNotSet:
    """Sentinel type for annotations, useful when None is not viable.

    Use like this::

        def is_arg_passed(arg: Union[ArgNotSet, None] = NOTSET) -> bool:
            if arg is NOTSET:
                return False
            return True

        is_arg_passed()  # False.
        is_arg_passed(None)  # True.
    """


NOTSET = ArgNotSet()
"""Sentinel value for argument default. See ``ArgNotSet``."""


class DagRunType(str, enum.Enum):
    """Class with DagRun types"""

    BACKFILL_JOB = "backfill"
    SCHEDULED = "scheduled"
    MANUAL = "manual"
    DATASET_TRIGGERED = "dataset_triggered"

    def __str__(self) -> str:
        return self.value

    def generate_run_id(self, logical_date: datetime) -> str:
        return f"{self}__{logical_date.isoformat()}"

    @staticmethod
    def from_run_id(run_id: str) -> DagRunType:
        """Resolved DagRun type from run_id."""
        for run_type in DagRunType:
            if run_id and run_id.startswith(f"{run_type.value}__"):
                return run_type
        return DagRunType.MANUAL


class EdgeInfoType(TypedDict):
    """
    Represents extra metadata that the DAG can store about an edge,
    usually generated from an EdgeModifier.
    """

    label: str | None
