# 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_pipelines_post_nodes_inner import DataPipelinesPostNodesInner
from openapi_client.models.file_add_delete_file_level_tags_inner import FileAddDeleteFileLevelTagsInner
from typing import Optional, Set
from typing_extensions import Self
[docs]
class DataPipelinesPost(BaseModel):
"""
DataPipelinesPost
""" # noqa: E501
name: Optional[StrictStr] = Field(default=None, alias="Name")
description: Optional[StrictStr] = Field(default=None, alias="Description")
keywords: Optional[List[StrictStr]] = Field(default=None, alias="Keywords")
cost_tags: Optional[List[FileAddDeleteFileLevelTagsInner]] = Field(default=None, alias="CostTags")
default_execution_properties: Optional[Dict[str, Dict[str, Any]]] = Field(default=None, alias="DefaultExecutionProperties")
tags: Optional[Dict[str, Dict[str, Any]]] = None
nodes: Optional[List[DataPipelinesPostNodesInner]] = Field(default=None, alias="Nodes")
graph: Optional[Dict[str, Dict[str, Any]]] = Field(default=None, alias="Graph")
__properties: ClassVar[List[str]] = ["Name", "Description", "Keywords", "CostTags", "DefaultExecutionProperties", "tags", "Nodes", "Graph"]
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 DataPipelinesPost 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 cost_tags (list)
_items = []
if self.cost_tags:
for _item_cost_tags in self.cost_tags:
if _item_cost_tags:
_items.append(_item_cost_tags.to_dict())
_dict['CostTags'] = _items
# 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 DataPipelinesPost from a dict"""
if obj is None:
return None
if not isinstance(obj, dict):
return cls.model_validate(obj)
_obj = cls.model_validate({
"Name": obj.get("Name"),
"Description": obj.get("Description"),
"Keywords": obj.get("Keywords"),
"CostTags": [FileAddDeleteFileLevelTagsInner.from_dict(_item) for _item in obj["CostTags"]] if obj.get("CostTags") is not None else None,
"DefaultExecutionProperties": obj.get("DefaultExecutionProperties"),
"tags": obj.get("tags"),
"Nodes": [DataPipelinesPostNodesInner.from_dict(_item) for _item in obj["Nodes"]] if obj.get("Nodes") is not None else None,
"Graph": obj.get("Graph")
})
return _obj