# 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.data_pipeline_nodes_inner import DataPipelineNodesInner
from typing import Optional, Set
from typing_extensions import Self
[docs]
class DataPipeline(BaseModel):
"""
DataPipeline
""" # noqa: E501
access_type: Optional[StrictStr] = Field(default=None, alias="AccessType")
created_by: Optional[StrictStr] = Field(default=None, alias="CreatedBy")
creation_time: Optional[StrictStr] = Field(default=None, alias="CreationTime")
last_modified_by: Optional[StrictStr] = Field(default=None, alias="LastModifiedBy")
last_modified_time: Optional[StrictStr] = Field(default=None, alias="LastModifiedTime")
data_pipeline_id: Optional[StrictStr] = Field(default=None, alias="DataPipelineId")
data_pipeline_name: Optional[StrictStr] = Field(default=None, alias="DataPipelineName")
description: Optional[StrictStr] = Field(default=None, alias="Description")
keywords: Optional[List[StrictStr]] = Field(default=None, alias="Keywords")
default_execution_properties: Optional[Dict[str, Dict[str, Any]]] = Field(default=None, alias="DefaultExecutionProperties")
nodes: Optional[List[DataPipelineNodesInner]] = Field(default=None, alias="Nodes")
graph: Optional[Dict[str, Dict[str, Any]]] = Field(default=None, alias="Graph")
dependent_data_pipelines: Optional[List[StrictStr]] = Field(default=None, alias="DependentDataPipelines")
schedule_id: Optional[List[StrictStr]] = Field(default=None, alias="ScheduleId")
version: Optional[StrictStr] = Field(default=None, alias="Version")
__properties: ClassVar[List[str]] = ["AccessType", "CreatedBy", "CreationTime", "LastModifiedBy", "LastModifiedTime", "DataPipelineId", "DataPipelineName", "Description", "Keywords", "DefaultExecutionProperties", "Nodes", "Graph", "DependentDataPipelines", "ScheduleId", "Version"]
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 DataPipeline 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 each item in nodes (list)
_items = []
if self.nodes:
for _item_nodes in self.nodes:
if _item_nodes:
_items.append(_item_nodes.to_dict())
_dict['Nodes'] = _items
return _dict
[docs]
@classmethod
def from_dict(cls, obj: Optional[Dict[str, Any]]) -> Optional[Self]:
"""Create an instance of DataPipeline from a dict"""
if obj is None:
return None
if not isinstance(obj, dict):
return cls.model_validate(obj)
_obj = cls.model_validate({
"AccessType": obj.get("AccessType"),
"CreatedBy": obj.get("CreatedBy"),
"CreationTime": obj.get("CreationTime"),
"LastModifiedBy": obj.get("LastModifiedBy"),
"LastModifiedTime": obj.get("LastModifiedTime"),
"DataPipelineId": obj.get("DataPipelineId"),
"DataPipelineName": obj.get("DataPipelineName"),
"Description": obj.get("Description"),
"Keywords": obj.get("Keywords"),
"DefaultExecutionProperties": obj.get("DefaultExecutionProperties"),
"Nodes": [DataPipelineNodesInner.from_dict(_item) for _item in obj["Nodes"]] if obj.get("Nodes") is not None else None,
"Graph": obj.get("Graph"),
"DependentDataPipelines": obj.get("DependentDataPipelines"),
"ScheduleId": obj.get("ScheduleId"),
"Version": obj.get("Version")
})
return _obj