# coding: utf-8

"""
    Airflow API

    Airflow API. All endpoints located under ``/api/v2`` can be used safely, are stable and backward compatible. Endpoints located under ``/ui`` are dedicated to the UI and are subject to breaking change depending on the need of the frontend. Users should not rely on those but use the public ones instead.  **Filtering with pattern parameters.** Many list endpoints accept ``*_pattern`` and ``*_prefix_pattern`` query parameters. Unless a parameter's own description says otherwise, ``*_pattern`` is a case-insensitive substring match (SQL ``ILIKE '%term%'``) where ``%`` matches any sequence and ``_`` matches any single character (e.g. ``%customer_%``) — convenient, but it cannot use B-tree indexes, so it is slow on large tables. ``*_prefix_pattern`` matches the start of the value, is case-sensitive and index-friendly (prefer it at scale); there ``%`` and ``_`` are literal and trailing non-alphanumeric characters are stripped so the range scan stays index-compatible under locale-aware collations (e.g. ``test_`` matches values starting with ``test``, and ``s3://`` matches ``s3``). In both, ``|`` means OR (e.g. ``dag1|dag2``) and ``~`` matches everything. Regular expressions are not supported by these parameters; regex-capable endpoints expose a separate parameter.

    The version of the OpenAPI document: 2
    Generated by OpenAPI Generator (https://openapi-generator.tech)

    Do not edit the class manually.
"""  # noqa: E501


from __future__ import annotations
import pprint
import re  # noqa: F401
import json

from datetime import datetime
from pydantic import BaseModel, ConfigDict, Field, StrictBool, StrictInt, StrictStr
from typing import Any, ClassVar, Dict, List, Optional
from typing_extensions import Annotated
from airflow_client.client.models.reprocess_behavior import ReprocessBehavior
from typing import Optional, Set
from typing_extensions import Self
from pydantic_core import to_jsonable_python

class BackfillResponse(BaseModel):
    """
    Base serializer for Backfill.
    """ # noqa: E501
    completed_at: Optional[datetime] = None
    created_at: datetime
    dag_display_name: StrictStr
    dag_id: StrictStr
    dag_run_conf: Optional[Dict[str, Any]] = None
    from_date: datetime
    id: Annotated[int, Field(strict=True, ge=0)]
    is_paused: StrictBool
    max_active_runs: StrictInt
    reprocess_behavior: ReprocessBehavior
    to_date: datetime
    updated_at: datetime
    __properties: ClassVar[List[str]] = ["completed_at", "created_at", "dag_display_name", "dag_id", "dag_run_conf", "from_date", "id", "is_paused", "max_active_runs", "reprocess_behavior", "to_date", "updated_at"]

    model_config = ConfigDict(
        validate_by_name=True,
        validate_by_alias=True,
        validate_assignment=True,
        protected_namespaces=(),
    )


    def to_str(self) -> str:
        """Returns the string representation of the model using alias"""
        return pprint.pformat(self.model_dump(by_alias=True))

    def to_json(self) -> str:
        """Returns the JSON representation of the model using alias"""
        return json.dumps(to_jsonable_python(self.to_dict()))

    @classmethod
    def from_json(cls, json_str: str) -> Optional[Self]:
        """Create an instance of BackfillResponse from a JSON string"""
        return cls.from_dict(json.loads(json_str))

    def to_dict(self) -> Dict[str, Any]:
        """Return the dictionary representation of the model using alias.

        This has the following differences from calling pydantic's
        `self.model_dump(by_alias=True)`:

        * `None` is only added to the output dict for nullable fields that
          were set at model initialization. Other fields with value `None`
          are ignored.
        """
        excluded_fields: Set[str] = set([
        ])

        _dict = self.model_dump(
            by_alias=True,
            exclude=excluded_fields,
            exclude_none=True,
        )
        return _dict

    @classmethod
    def from_dict(cls, obj: Optional[Dict[str, Any]]) -> Optional[Self]:
        """Create an instance of BackfillResponse from a dict"""
        if obj is None:
            return None

        if not isinstance(obj, dict):
            return cls.model_validate(obj)

        _obj = cls.model_validate({
            "completed_at": obj.get("completed_at"),
            "created_at": obj.get("created_at"),
            "dag_display_name": obj.get("dag_display_name"),
            "dag_id": obj.get("dag_id"),
            "dag_run_conf": obj.get("dag_run_conf"),
            "from_date": obj.get("from_date"),
            "id": obj.get("id"),
            "is_paused": obj.get("is_paused"),
            "max_active_runs": obj.get("max_active_runs"),
            "reprocess_behavior": obj.get("reprocess_behavior"),
            "to_date": obj.get("to_date"),
            "updated_at": obj.get("updated_at")
        })
        return _obj


