# 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.runs_response_jobruns_inner_metrics import RunsResponseJobrunsInnerMetrics
from typing import Optional, Set
from typing_extensions import Self
[docs]
class RunsResponseJobrunsInner(BaseModel):
"""
RunsResponseJobrunsInner
""" # noqa: E501
metrics: Optional[RunsResponseJobrunsInnerMetrics] = Field(default=None, alias="Metrics")
execution_scope: Optional[StrictStr] = Field(default=None, description="The scope of the execution (e.g., 'Datasource').", alias="ExecutionScope")
message: Optional[StrictStr] = Field(default=None, description="The message of the execution.", alias="Message")
source_name: Optional[StrictStr] = Field(default=None, description="The name of the source.", alias="SourceName")
end_time: Optional[StrictStr] = Field(default=None, description="The end time of the execution.", alias="EndTime")
status: Optional[StrictStr] = Field(default=None, description="The status of the execution.", alias="Status")
synced_by: Optional[StrictStr] = Field(default=None, description="The user who initiated the execution.", alias="SyncedBy")
start_time: Optional[StrictStr] = Field(default=None, description="The start time of the execution.", alias="StartTime")
__properties: ClassVar[List[str]] = ["Metrics", "ExecutionScope", "Message", "SourceName", "EndTime", "Status", "SyncedBy", "StartTime"]
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 RunsResponseJobrunsInner 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 metrics
if self.metrics:
_dict['Metrics'] = self.metrics.to_dict()
return _dict
[docs]
@classmethod
def from_dict(cls, obj: Optional[Dict[str, Any]]) -> Optional[Self]:
"""Create an instance of RunsResponseJobrunsInner from a dict"""
if obj is None:
return None
if not isinstance(obj, dict):
return cls.model_validate(obj)
_obj = cls.model_validate({
"Metrics": RunsResponseJobrunsInnerMetrics.from_dict(obj["Metrics"]) if obj.get("Metrics") is not None else None,
"ExecutionScope": obj.get("ExecutionScope"),
"Message": obj.get("Message"),
"SourceName": obj.get("SourceName"),
"EndTime": obj.get("EndTime"),
"Status": obj.get("Status"),
"SyncedBy": obj.get("SyncedBy"),
"StartTime": obj.get("StartTime")
})
return _obj