Source code for openapi_client.models.high_costing_service_response_services

# coding: utf-8

"""
    Amorphic Data Platform

    Amorphic Data Platform - API Definition documentation

    The version of the OpenAPI document: 0.3.0
    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, Optional
from openapi_client.models.high_costing_service_response_services_data_pipelines_inner import HighCostingServiceResponseServicesDataPipelinesInner
from openapi_client.models.high_costing_service_response_services_datalabs_inner import HighCostingServiceResponseServicesDatalabsInner
from openapi_client.models.high_costing_service_response_services_datasource_entities_inner import HighCostingServiceResponseServicesDatasourceEntitiesInner
from openapi_client.models.high_costing_service_response_services_datasources_inner import HighCostingServiceResponseServicesDatasourcesInner
from openapi_client.models.high_costing_service_response_services_healthlake_stores_inner import HighCostingServiceResponseServicesHealthlakeStoresInner
from openapi_client.models.high_costing_service_response_services_jobs_inner import HighCostingServiceResponseServicesJobsInner
from typing import Optional, Set
from typing_extensions import Self



class HighCostingServiceResponseServices(BaseModel):
    """
    HighCostingServiceResponseServices
    """ # noqa: E501
    datalabs: Optional[List[HighCostingServiceResponseServicesDatalabsInner]] = Field(default=None, alias="Datalabs")
    jobs: Optional[List[HighCostingServiceResponseServicesJobsInner]] = Field(default=None, alias="Jobs")
    data_pipelines: Optional[List[HighCostingServiceResponseServicesDataPipelinesInner]] = Field(default=None, alias="DataPipelines")
    datasources: Optional[List[HighCostingServiceResponseServicesDatasourcesInner]] = Field(default=None, alias="Datasources")
    datasource_entities: Optional[List[HighCostingServiceResponseServicesDatasourceEntitiesInner]] = Field(default=None, alias="DatasourceEntities")
    healthlake_stores: Optional[List[HighCostingServiceResponseServicesHealthlakeStoresInner]] = Field(default=None, alias="HealthlakeStores")
    __properties: ClassVar[List[str]] = ["Datalabs", "Jobs", "DataPipelines", "Datasources", "DatasourceEntities", "HealthlakeStores"]

    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 HighCostingServiceResponseServices 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 datalabs (list)
        _items = []
        if self.datalabs:
            for _item_datalabs in self.datalabs:
                if _item_datalabs:
                    _items.append(_item_datalabs.to_dict())
            _dict['Datalabs'] = _items
        # override the default output from pydantic by calling `to_dict()` of each item in jobs (list)
        _items = []
        if self.jobs:
            for _item_jobs in self.jobs:
                if _item_jobs:
                    _items.append(_item_jobs.to_dict())
            _dict['Jobs'] = _items
        # override the default output from pydantic by calling `to_dict()` of each item in data_pipelines (list)
        _items = []
        if self.data_pipelines:
            for _item_data_pipelines in self.data_pipelines:
                if _item_data_pipelines:
                    _items.append(_item_data_pipelines.to_dict())
            _dict['DataPipelines'] = _items
        # override the default output from pydantic by calling `to_dict()` of each item in datasources (list)
        _items = []
        if self.datasources:
            for _item_datasources in self.datasources:
                if _item_datasources:
                    _items.append(_item_datasources.to_dict())
            _dict['Datasources'] = _items
        # override the default output from pydantic by calling `to_dict()` of each item in datasource_entities (list)
        _items = []
        if self.datasource_entities:
            for _item_datasource_entities in self.datasource_entities:
                if _item_datasource_entities:
                    _items.append(_item_datasource_entities.to_dict())
            _dict['DatasourceEntities'] = _items
        # override the default output from pydantic by calling `to_dict()` of each item in healthlake_stores (list)
        _items = []
        if self.healthlake_stores:
            for _item_healthlake_stores in self.healthlake_stores:
                if _item_healthlake_stores:
                    _items.append(_item_healthlake_stores.to_dict())
            _dict['HealthlakeStores'] = _items
        return _dict




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

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

        _obj = cls.model_validate({
            "Datalabs": [HighCostingServiceResponseServicesDatalabsInner.from_dict(_item) for _item in obj["Datalabs"]] if obj.get("Datalabs") is not None else None,
            "Jobs": [HighCostingServiceResponseServicesJobsInner.from_dict(_item) for _item in obj["Jobs"]] if obj.get("Jobs") is not None else None,
            "DataPipelines": [HighCostingServiceResponseServicesDataPipelinesInner.from_dict(_item) for _item in obj["DataPipelines"]] if obj.get("DataPipelines") is not None else None,
            "Datasources": [HighCostingServiceResponseServicesDatasourcesInner.from_dict(_item) for _item in obj["Datasources"]] if obj.get("Datasources") is not None else None,
            "DatasourceEntities": [HighCostingServiceResponseServicesDatasourceEntitiesInner.from_dict(_item) for _item in obj["DatasourceEntities"]] if obj.get("DatasourceEntities") is not None else None,
            "HealthlakeStores": [HighCostingServiceResponseServicesHealthlakeStoresInner.from_dict(_item) for _item in obj["HealthlakeStores"]] if obj.get("HealthlakeStores") is not None else None
        })
        return _obj