# 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, StrictFloat, StrictInt, StrictStr
from typing import Any, ClassVar, Dict, List, Optional, Union
from typing_extensions import Annotated
from airflow_client.client.models.task_instance_state import TaskInstanceState
from typing import Optional, Set
from typing_extensions import Self
from pydantic_core import to_jsonable_python

class TaskInstancesBatchBody(BaseModel):
    """
    Task Instance body for get batch.
    """ # noqa: E501
    dag_ids: Optional[List[StrictStr]] = None
    dag_run_ids: Optional[List[StrictStr]] = None
    duration_gt: Optional[Union[StrictFloat, StrictInt]] = None
    duration_gte: Optional[Union[StrictFloat, StrictInt]] = None
    duration_lt: Optional[Union[StrictFloat, StrictInt]] = None
    duration_lte: Optional[Union[StrictFloat, StrictInt]] = None
    end_date_gt: Optional[datetime] = None
    end_date_gte: Optional[datetime] = None
    end_date_lt: Optional[datetime] = None
    end_date_lte: Optional[datetime] = None
    executor: Optional[List[StrictStr]] = None
    logical_date_gt: Optional[datetime] = None
    logical_date_gte: Optional[datetime] = None
    logical_date_lt: Optional[datetime] = None
    logical_date_lte: Optional[datetime] = None
    order_by: Optional[StrictStr] = None
    page_limit: Optional[Annotated[int, Field(strict=True, ge=0)]] = 100
    page_offset: Optional[Annotated[int, Field(strict=True, ge=0)]] = 0
    pool: Optional[List[StrictStr]] = None
    queue: Optional[List[StrictStr]] = None
    run_after_gt: Optional[datetime] = None
    run_after_gte: Optional[datetime] = None
    run_after_lt: Optional[datetime] = None
    run_after_lte: Optional[datetime] = None
    start_date_gt: Optional[datetime] = None
    start_date_gte: Optional[datetime] = None
    start_date_lt: Optional[datetime] = None
    start_date_lte: Optional[datetime] = None
    state: Optional[List[Optional[TaskInstanceState]]] = None
    task_ids: Optional[List[StrictStr]] = None
    __properties: ClassVar[List[str]] = ["dag_ids", "dag_run_ids", "duration_gt", "duration_gte", "duration_lt", "duration_lte", "end_date_gt", "end_date_gte", "end_date_lt", "end_date_lte", "executor", "logical_date_gt", "logical_date_gte", "logical_date_lt", "logical_date_lte", "order_by", "page_limit", "page_offset", "pool", "queue", "run_after_gt", "run_after_gte", "run_after_lt", "run_after_lte", "start_date_gt", "start_date_gte", "start_date_lt", "start_date_lte", "state", "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 TaskInstancesBatchBody 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 TaskInstancesBatchBody from a dict"""
        if obj is None:
            return None

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

        _obj = cls.model_validate({
            "dag_ids": obj.get("dag_ids"),
            "dag_run_ids": obj.get("dag_run_ids"),
            "duration_gt": obj.get("duration_gt"),
            "duration_gte": obj.get("duration_gte"),
            "duration_lt": obj.get("duration_lt"),
            "duration_lte": obj.get("duration_lte"),
            "end_date_gt": obj.get("end_date_gt"),
            "end_date_gte": obj.get("end_date_gte"),
            "end_date_lt": obj.get("end_date_lt"),
            "end_date_lte": obj.get("end_date_lte"),
            "executor": obj.get("executor"),
            "logical_date_gt": obj.get("logical_date_gt"),
            "logical_date_gte": obj.get("logical_date_gte"),
            "logical_date_lt": obj.get("logical_date_lt"),
            "logical_date_lte": obj.get("logical_date_lte"),
            "order_by": obj.get("order_by"),
            "page_limit": obj.get("page_limit") if obj.get("page_limit") is not None else 100,
            "page_offset": obj.get("page_offset") if obj.get("page_offset") is not None else 0,
            "pool": obj.get("pool"),
            "queue": obj.get("queue"),
            "run_after_gt": obj.get("run_after_gt"),
            "run_after_gte": obj.get("run_after_gte"),
            "run_after_lt": obj.get("run_after_lt"),
            "run_after_lte": obj.get("run_after_lte"),
            "start_date_gt": obj.get("start_date_gt"),
            "start_date_gte": obj.get("start_date_gte"),
            "start_date_lt": obj.get("start_date_lt"),
            "start_date_lte": obj.get("start_date_lte"),
            "state": obj.get("state"),
            "task_ids": obj.get("task_ids")
        })
        return _obj


