# 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, StrictBool, StrictStr, field_validator
from typing import Any, ClassVar, Dict, List, Optional
from openapi_client.models.schedule_param import ScheduleParam
from openapi_client.models.scheduled_job_argument import ScheduledJobArgument
from typing import Optional, Set
from typing_extensions import Self
[docs]
class ScheduledJobStatus(BaseModel):
"""
ScheduledJobStatus
""" # noqa: E501
schedule_id: StrictStr = Field(alias="ScheduleId")
job_name: StrictStr = Field(alias="JobName")
description: Optional[StrictStr] = Field(default=None, alias="Description")
created_by: Optional[StrictStr] = Field(default=None, alias="CreatedBy")
creation_time: Optional[StrictStr] = Field(default=None, alias="CreationTime")
last_modified: Optional[StrictStr] = Field(default=None, alias="LastModified")
state: Optional[StrictStr] = Field(default=None, alias="State")
target_dataset_id: Optional[StrictStr] = Field(default=None, alias="TargetDatasetId")
access_type: Optional[StrictStr] = Field(default=None, alias="AccessType")
schedule_type: StrictStr = Field(alias="ScheduleType")
schedule_param: ScheduleParam = Field(alias="ScheduleParam")
job_type: StrictStr = Field(alias="JobType")
resource: StrictStr = Field(alias="Resource")
arguments: List[ScheduledJobArgument] = Field(alias="Arguments")
ingestion_type: Optional[StrictStr] = Field(default=None, alias="IngestionType")
accept_runtime_arguments: Optional[StrictBool] = Field(default=None, alias="AcceptRuntimeArguments")
keywords: Optional[List[StrictStr]] = Field(default=None, alias="Keywords")
__properties: ClassVar[List[str]] = ["ScheduleId", "JobName", "Description", "CreatedBy", "CreationTime", "LastModified", "State", "TargetDatasetId", "AccessType", "ScheduleType", "ScheduleParam", "JobType", "Resource", "Arguments", "IngestionType", "AcceptRuntimeArguments", "Keywords"]
[docs]
@field_validator('schedule_type')
def schedule_type_validate_enum(cls, value):
"""Validates the enum"""
if value not in set(['event', 'time']):
raise ValueError("must be one of enum values ('event', 'time')")
return value
[docs]
@field_validator('job_type')
def job_type_validate_enum(cls, value):
"""Validates the enum"""
if value not in set(['glue', 'lambda', 'stepfunction']):
raise ValueError("must be one of enum values ('glue', 'lambda', 'stepfunction')")
return value
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 ScheduledJobStatus 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 schedule_param
if self.schedule_param:
_dict['ScheduleParam'] = self.schedule_param.to_dict()
# override the default output from pydantic by calling `to_dict()` of each item in arguments (list)
_items = []
if self.arguments:
for _item_arguments in self.arguments:
if _item_arguments:
_items.append(_item_arguments.to_dict())
_dict['Arguments'] = _items
return _dict
[docs]
@classmethod
def from_dict(cls, obj: Optional[Dict[str, Any]]) -> Optional[Self]:
"""Create an instance of ScheduledJobStatus from a dict"""
if obj is None:
return None
if not isinstance(obj, dict):
return cls.model_validate(obj)
_obj = cls.model_validate({
"ScheduleId": obj.get("ScheduleId"),
"JobName": obj.get("JobName"),
"Description": obj.get("Description"),
"CreatedBy": obj.get("CreatedBy"),
"CreationTime": obj.get("CreationTime"),
"LastModified": obj.get("LastModified"),
"State": obj.get("State"),
"TargetDatasetId": obj.get("TargetDatasetId"),
"AccessType": obj.get("AccessType"),
"ScheduleType": obj.get("ScheduleType"),
"ScheduleParam": ScheduleParam.from_dict(obj["ScheduleParam"]) if obj.get("ScheduleParam") is not None else None,
"JobType": obj.get("JobType"),
"Resource": obj.get("Resource"),
"Arguments": [ScheduledJobArgument.from_dict(_item) for _item in obj["Arguments"]] if obj.get("Arguments") is not None else None,
"IngestionType": obj.get("IngestionType"),
"AcceptRuntimeArguments": obj.get("AcceptRuntimeArguments"),
"Keywords": obj.get("Keywords")
})
return _obj