# 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, StrictInt, StrictStr
from typing import Any, ClassVar, Dict, List, Optional
from typing import Optional, Set
from typing_extensions import Self
[docs]
class HclListWorkflowRunResponseBody(BaseModel):
"""
HclListWorkflowRunResponseBody
""" # noqa: E501
workflow_run_id: Optional[StrictStr] = Field(default=None, alias="WorkflowRunId")
workflow_run_status: Optional[StrictStr] = Field(default=None, alias="WorkflowRunStatus")
message: Optional[StrictStr] = Field(default=None, alias="Message")
workflow_run_name: Optional[StrictStr] = Field(default=None, alias="WorkflowRunName")
started_on: Optional[StrictStr] = Field(default=None, alias="StartedOn")
storage_capacity: Optional[StrictInt] = Field(default=None, alias="StorageCapacity")
workflow_run_params: Optional[Dict[str, Any]] = Field(default=None, alias="WorkflowRunParams")
workflow_run_log_level: Optional[StrictStr] = Field(default=None, alias="WorkflowRunLogLevel")
completed_on: Optional[StrictStr] = Field(default=None, alias="CompletedOn")
started_by: Optional[StrictStr] = Field(default=None, alias="StartedBy")
__properties: ClassVar[List[str]] = ["WorkflowRunId", "WorkflowRunStatus", "Message", "WorkflowRunName", "StartedOn", "StorageCapacity", "WorkflowRunParams", "WorkflowRunLogLevel", "CompletedOn", "StartedBy"]
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 HclListWorkflowRunResponseBody 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,
)
return _dict
[docs]
@classmethod
def from_dict(cls, obj: Optional[Dict[str, Any]]) -> Optional[Self]:
"""Create an instance of HclListWorkflowRunResponseBody from a dict"""
if obj is None:
return None
if not isinstance(obj, dict):
return cls.model_validate(obj)
_obj = cls.model_validate({
"WorkflowRunId": obj.get("WorkflowRunId"),
"WorkflowRunStatus": obj.get("WorkflowRunStatus"),
"Message": obj.get("Message"),
"WorkflowRunName": obj.get("WorkflowRunName"),
"StartedOn": obj.get("StartedOn"),
"StorageCapacity": obj.get("StorageCapacity"),
"WorkflowRunParams": obj.get("WorkflowRunParams"),
"WorkflowRunLogLevel": obj.get("WorkflowRunLogLevel"),
"CompletedOn": obj.get("CompletedOn"),
"StartedBy": obj.get("StartedBy")
})
return _obj