# 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, StrictStr
from typing import Any, ClassVar, Dict, List, Optional
from openapi_client.models.dataset_lineage_task_filters_info_filter_rules_inner import DatasetLineageTaskFiltersInfoFilterRulesInner
from openapi_client.models.dataset_lineage_task_filters_info_source_table_info import DatasetLineageTaskFiltersInfoSourceTableInfo
from openapi_client.models.datasource_flows_details_dataflow_config_table_mappings_rules_inner_data_type import DatasourceFlowsDetailsDataflowConfigTableMappingsRulesInnerDataType
from typing import Optional, Set
from typing_extensions import Self
[docs]
class DatasourceFlowsDetailsDataflowConfigTableMappingsRulesInner(BaseModel):
"""
DatasourceFlowsDetailsDataflowConfigTableMappingsRulesInner
""" # noqa: E501
old_value: Optional[StrictStr] = Field(default=None, alias="old-value")
rule_action: Optional[StrictStr] = Field(default=None, alias="rule-action")
rule_id: Optional[StrictStr] = Field(default=None, alias="rule-id")
rule_name: Optional[StrictStr] = Field(default=None, alias="rule-name")
rule_target: Optional[StrictStr] = Field(default=None, alias="rule-target")
rule_type: Optional[StrictStr] = Field(default=None, alias="rule-type")
value: Optional[StrictStr] = None
object_locator: Optional[DatasetLineageTaskFiltersInfoSourceTableInfo] = Field(default=None, alias="object-locator")
data_type: Optional[DatasourceFlowsDetailsDataflowConfigTableMappingsRulesInnerDataType] = Field(default=None, alias="data-type")
filters: Optional[List[DatasetLineageTaskFiltersInfoFilterRulesInner]] = None
__properties: ClassVar[List[str]] = ["old-value", "rule-action", "rule-id", "rule-name", "rule-target", "rule-type", "value", "object-locator", "data-type", "filters"]
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 DatasourceFlowsDetailsDataflowConfigTableMappingsRulesInner 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 object_locator
if self.object_locator:
_dict['object-locator'] = self.object_locator.to_dict()
# override the default output from pydantic by calling `to_dict()` of data_type
if self.data_type:
_dict['data-type'] = self.data_type.to_dict()
# override the default output from pydantic by calling `to_dict()` of each item in filters (list)
_items = []
if self.filters:
for _item_filters in self.filters:
if _item_filters:
_items.append(_item_filters.to_dict())
_dict['filters'] = _items
return _dict
[docs]
@classmethod
def from_dict(cls, obj: Optional[Dict[str, Any]]) -> Optional[Self]:
"""Create an instance of DatasourceFlowsDetailsDataflowConfigTableMappingsRulesInner from a dict"""
if obj is None:
return None
if not isinstance(obj, dict):
return cls.model_validate(obj)
_obj = cls.model_validate({
"old-value": obj.get("old-value"),
"rule-action": obj.get("rule-action"),
"rule-id": obj.get("rule-id"),
"rule-name": obj.get("rule-name"),
"rule-target": obj.get("rule-target"),
"rule-type": obj.get("rule-type"),
"value": obj.get("value"),
"object-locator": DatasetLineageTaskFiltersInfoSourceTableInfo.from_dict(obj["object-locator"]) if obj.get("object-locator") is not None else None,
"data-type": DatasourceFlowsDetailsDataflowConfigTableMappingsRulesInnerDataType.from_dict(obj["data-type"]) if obj.get("data-type") is not None else None,
"filters": [DatasetLineageTaskFiltersInfoFilterRulesInner.from_dict(_item) for _item in obj["filters"]] if obj.get("filters") is not None else None
})
return _obj