# 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, StrictStr
from typing import Any, ClassVar, Dict, List, Optional
from typing_extensions import Annotated
from airflow_client.client.models.clear_task_instances_body_task_ids_inner import ClearTaskInstancesBodyTaskIdsInner
from typing import Optional, Set
from typing_extensions import Self
from pydantic_core import to_jsonable_python

class ClearTaskInstancesBody(BaseModel):
    """
    Request body for Clear Task Instances endpoint.
    """ # noqa: E501
    dag_run_id: Optional[StrictStr] = None
    dry_run: Optional[StrictBool] = True
    end_date: Optional[datetime] = None
    include_downstream: Optional[StrictBool] = False
    include_future: Optional[StrictBool] = False
    include_past: Optional[StrictBool] = False
    include_upstream: Optional[StrictBool] = False
    note: Optional[Annotated[str, Field(strict=True, max_length=1000)]] = None
    only_failed: Optional[StrictBool] = True
    only_running: Optional[StrictBool] = False
    prevent_running_task: Optional[StrictBool] = False
    reset_dag_runs: Optional[StrictBool] = True
    run_on_latest_version: Optional[StrictBool] = None
    start_date: Optional[datetime] = None
    task_ids: Optional[List[ClearTaskInstancesBodyTaskIdsInner]] = None
    __properties: ClassVar[List[str]] = ["dag_run_id", "dry_run", "end_date", "include_downstream", "include_future", "include_past", "include_upstream", "note", "only_failed", "only_running", "prevent_running_task", "reset_dag_runs", "run_on_latest_version", "start_date", "task_ids"]

    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 ClearTaskInstancesBody 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,
        )
        # override the default output from pydantic by calling `to_dict()` of each item in task_ids (list)
        _items = []
        if self.task_ids:
            for _item_task_ids in self.task_ids:
                if _item_task_ids:
                    _items.append(_item_task_ids.to_dict())
            _dict['task_ids'] = _items
        return _dict

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

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

        _obj = cls.model_validate({
            "dag_run_id": obj.get("dag_run_id"),
            "dry_run": obj.get("dry_run") if obj.get("dry_run") is not None else True,
            "end_date": obj.get("end_date"),
            "include_downstream": obj.get("include_downstream") if obj.get("include_downstream") is not None else False,
            "include_future": obj.get("include_future") if obj.get("include_future") is not None else False,
            "include_past": obj.get("include_past") if obj.get("include_past") is not None else False,
            "include_upstream": obj.get("include_upstream") if obj.get("include_upstream") is not None else False,
            "note": obj.get("note"),
            "only_failed": obj.get("only_failed") if obj.get("only_failed") is not None else True,
            "only_running": obj.get("only_running") if obj.get("only_running") is not None else False,
            "prevent_running_task": obj.get("prevent_running_task") if obj.get("prevent_running_task") is not None else False,
            "reset_dag_runs": obj.get("reset_dag_runs") if obj.get("reset_dag_runs") is not None else True,
            "run_on_latest_version": obj.get("run_on_latest_version"),
            "start_date": obj.get("start_date"),
            "task_ids": [ClearTaskInstancesBodyTaskIdsInner.from_dict(_item) for _item in obj["task_ids"]] if obj.get("task_ids") is not None else None
        })
        return _obj


