# coding: utf-8

"""
Hatchet API

The Hatchet API

The version of the OpenAPI document: 1.0.0
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 pydantic import BaseModel, ConfigDict, Field
from typing import Any, ClassVar, Dict, List
from hatchet_sdk.clients.rest.models.pagination_response import PaginationResponse
from hatchet_sdk.clients.rest.models.v1_task_summary import V1TaskSummary
from typing import Optional, Set
from typing_extensions import Self


class V1TaskSummaryList(BaseModel):
    """
    V1TaskSummaryList
    """  # noqa: E501

    pagination: PaginationResponse
    rows: List[V1TaskSummary] = Field(description="The list of tasks")
    __properties: ClassVar[List[str]] = ["pagination", "rows"]

    model_config = ConfigDict(
        populate_by_name=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"""
        # TODO: pydantic v2: use .model_dump_json(by_alias=True, exclude_unset=True) instead
        return json.dumps(self.to_dict())

    @classmethod
    def from_json(cls, json_str: str) -> Optional[Self]:
        """Create an instance of V1TaskSummaryList 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 pagination
        if self.pagination:
            _dict["pagination"] = self.pagination.to_dict()
        # override the default output from pydantic by calling `to_dict()` of each item in rows (list)
        _items = []
        if self.rows:
            for _item_rows in self.rows:
                if _item_rows:
                    _items.append(_item_rows.to_dict())
            _dict["rows"] = _items
        return _dict

    @classmethod
    def from_dict(cls, obj: Optional[Dict[str, Any]]) -> Optional[Self]:
        """Create an instance of V1TaskSummaryList from a dict"""
        if obj is None:
            return None

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

        _obj = cls.model_validate(
            {
                "pagination": (
                    PaginationResponse.from_dict(obj["pagination"])
                    if obj.get("pagination") is not None
                    else None
                ),
                "rows": (
                    [V1TaskSummary.from_dict(_item) for _item in obj["rows"]]
                    if obj.get("rows") is not None
                    else None
                ),
            }
        )
        return _obj
