Source code for openapi_client.models.datasource_flows_update_dataflow_config

# 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, StrictBool, StrictStr
from typing import Any, ClassVar, Dict, List, Optional
from openapi_client.models.datasource_flows_details_dataflow_config_consumer_configuration import DatasourceFlowsDetailsDataflowConfigConsumerConfiguration
from openapi_client.models.datasource_flows_details_dataflow_config_task_retry_config import DatasourceFlowsDetailsDataflowConfigTaskRetryConfig
from openapi_client.models.schedule_details_inner import ScheduleDetailsInner
from typing import Optional, Set
from typing_extensions import Self

[docs] class DatasourceFlowsUpdateDataflowConfig(BaseModel): """ DatasourceFlowsUpdateDataflowConfig """ # noqa: E501 shared_instance: Optional[StrictStr] = Field(default=None, alias="SharedInstance") sync_to_s3: Optional[StrictStr] = Field(default=None, alias="SyncToS3") extra_connection_attributes: Optional[StrictStr] = Field(default=None, alias="ExtraConnectionAttributes") source_extra_connection_attributes: Optional[StrictStr] = Field(default=None, alias="SourceExtraConnectionAttributes") target_table_prep_mode: Optional[StrictStr] = Field(default=None, alias="TargetTablePrepMode") cdc_start_time: Optional[StrictStr] = Field(default=None, alias="CdcStartTime") cdc_stop_position: Optional[StrictStr] = Field(default=None, alias="CdcStopPosition") instance_class: Optional[StrictStr] = Field(default=None, alias="InstanceClass") allocated_storage: Optional[StrictStr] = Field(default=None, alias="AllocatedStorage") instance_az: Optional[StrictStr] = Field(default=None, alias="InstanceAZ") instance_multi_az: Optional[StrictBool] = Field(default=None, alias="InstanceMultiAZ") task_retry_config: Optional[DatasourceFlowsDetailsDataflowConfigTaskRetryConfig] = Field(default=None, alias="TaskRetryConfig") additional_task_settings: Optional[Dict[str, Any]] = Field(default=None, alias="AdditionalTaskSettings") schedules: Optional[List[List[ScheduleDetailsInner]]] = Field(default=None, alias="Schedules") table_mappings: Optional[StrictStr] = Field(default=None, alias="TableMappings") consumer_configuration: Optional[DatasourceFlowsDetailsDataflowConfigConsumerConfiguration] = Field(default=None, alias="ConsumerConfiguration") __properties: ClassVar[List[str]] = ["SharedInstance", "SyncToS3", "ExtraConnectionAttributes", "SourceExtraConnectionAttributes", "TargetTablePrepMode", "CdcStartTime", "CdcStopPosition", "InstanceClass", "AllocatedStorage", "InstanceAZ", "InstanceMultiAZ", "TaskRetryConfig", "AdditionalTaskSettings", "Schedules", "TableMappings", "ConsumerConfiguration"] model_config = ConfigDict( populate_by_name=True, validate_assignment=True, protected_namespaces=(), )
[docs] def to_str(self) -> str: """Returns the string representation of the model using alias""" return pprint.pformat(self.model_dump(by_alias=True))
[docs] 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())
[docs] @classmethod def from_json(cls, json_str: str) -> Optional[Self]: """Create an instance of DatasourceFlowsUpdateDataflowConfig from a JSON string""" return cls.from_dict(json.loads(json_str))
[docs] 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 task_retry_config if self.task_retry_config: _dict['TaskRetryConfig'] = self.task_retry_config.to_dict() # override the default output from pydantic by calling `to_dict()` of each item in schedules (list of list) _items = [] if self.schedules: for _item_schedules in self.schedules: if _item_schedules: _items.append( [_inner_item.to_dict() for _inner_item in _item_schedules if _inner_item is not None] ) _dict['Schedules'] = _items # override the default output from pydantic by calling `to_dict()` of consumer_configuration if self.consumer_configuration: _dict['ConsumerConfiguration'] = self.consumer_configuration.to_dict() return _dict
[docs] @classmethod def from_dict(cls, obj: Optional[Dict[str, Any]]) -> Optional[Self]: """Create an instance of DatasourceFlowsUpdateDataflowConfig from a dict""" if obj is None: return None if not isinstance(obj, dict): return cls.model_validate(obj) _obj = cls.model_validate({ "SharedInstance": obj.get("SharedInstance"), "SyncToS3": obj.get("SyncToS3"), "ExtraConnectionAttributes": obj.get("ExtraConnectionAttributes"), "SourceExtraConnectionAttributes": obj.get("SourceExtraConnectionAttributes"), "TargetTablePrepMode": obj.get("TargetTablePrepMode"), "CdcStartTime": obj.get("CdcStartTime"), "CdcStopPosition": obj.get("CdcStopPosition"), "InstanceClass": obj.get("InstanceClass"), "AllocatedStorage": obj.get("AllocatedStorage"), "InstanceAZ": obj.get("InstanceAZ"), "InstanceMultiAZ": obj.get("InstanceMultiAZ"), "TaskRetryConfig": DatasourceFlowsDetailsDataflowConfigTaskRetryConfig.from_dict(obj["TaskRetryConfig"]) if obj.get("TaskRetryConfig") is not None else None, "AdditionalTaskSettings": obj.get("AdditionalTaskSettings"), "Schedules": [ [ScheduleDetailsInner.from_dict(_inner_item) for _inner_item in _item] for _item in obj["Schedules"] ] if obj.get("Schedules") is not None else None, "TableMappings": obj.get("TableMappings"), "ConsumerConfiguration": DatasourceFlowsDetailsDataflowConfigConsumerConfiguration.from_dict(obj["ConsumerConfiguration"]) if obj.get("ConsumerConfiguration") is not None else None }) return _obj