# coding: utf-8

"""
    Twenty Api

    Twenty is a customer relationship management (CRM) platform designed to help businesses manage their customer interactions and relationships effectively. The Twenty API provides programmatic access to the features and functionalities of the Twenty CRM platform, allowing developers to integrate and interact with the CRM data and operations.

    The version of the OpenAPI document: v0.1
    Contact: felix@twenty.com
    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, StrictStr
from typing import Any, ClassVar, Dict, List, Optional
from twentycrm_client.models.calendar_channel_event_association_for_response import CalendarChannelEventAssociationForResponse
from typing import Optional, Set
from typing_extensions import Self
from pydantic_core import to_jsonable_python

class GroupByCalendarChannelEventAssociations200ResponseDataCalendarChannelEventAssociationsGroupByInner(BaseModel):
    """
    GroupByCalendarChannelEventAssociations200ResponseDataCalendarChannelEventAssociationsGroupByInner
    """ # noqa: E501
    group_by_dimension_values: Optional[List[StrictStr]] = Field(default=None, description="Array of values representing each dimension in the group", alias="groupByDimensionValues")
    records: Optional[List[CalendarChannelEventAssociationForResponse]] = Field(default=None, description="Sample of records for this group (only present when include_records_sample is true)")
    additional_properties: Dict[str, Any] = {}
    __properties: ClassVar[List[str]] = ["groupByDimensionValues", "records"]

    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 GroupByCalendarChannelEventAssociations200ResponseDataCalendarChannelEventAssociationsGroupByInner 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.
        * Fields in `self.additional_properties` are added to the output dict.
        """
        excluded_fields: Set[str] = set([
            "additional_properties",
        ])

        _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 records (list)
        _items = []
        if self.records:
            for _item_records in self.records:
                if _item_records:
                    _items.append(_item_records.to_dict())
            _dict['records'] = _items
        # puts key-value pairs in additional_properties in the top level
        if self.additional_properties is not None:
            for _key, _value in self.additional_properties.items():
                _dict[_key] = _value

        return _dict

    @classmethod
    def from_dict(cls, obj: Optional[Dict[str, Any]]) -> Optional[Self]:
        """Create an instance of GroupByCalendarChannelEventAssociations200ResponseDataCalendarChannelEventAssociationsGroupByInner from a dict"""
        if obj is None:
            return None

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

        _obj = cls.model_validate({
            "groupByDimensionValues": obj.get("groupByDimensionValues"),
            "records": [CalendarChannelEventAssociationForResponse.from_dict(_item) for _item in obj["records"]] if obj.get("records") is not None else None
        })
        # store additional fields in additional_properties
        for _key in obj.keys():
            if _key not in cls.__properties:
                _obj.additional_properties[_key] = obj.get(_key)

        return _obj


