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#
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import enum
from typing import Optional

from airflow.typing_compat import TypedDict


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

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

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

    @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: Optional[str]