# coding: utf-8
"""
Amorphic Data Platform
Amorphic Data Platform - API Definition documentation
The version of the OpenAPI document: 1.0
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, StrictInt, StrictStr, field_validator
from typing import Any, ClassVar, Dict, List, Optional
from typing import Optional, Set
from typing_extensions import Self
[docs]
class AdhocTriggerJobRequest(BaseModel):
"""
AdhocTriggerJobRequest
""" # noqa: E501
number_of_workers: Optional[StrictInt] = Field(default=None, description="The number of worker nodes used to run data profiling job", alias="NumberOfWorkers")
timeout: Optional[StrictInt] = Field(default=None, description="Timeout of the data profiling job", alias="Timeout")
file_processing_mode: Optional[StrictStr] = Field(default=None, description="The file processing mode for running BDA extraction Job", alias="FileProcessingMode")
file_ids: Optional[List[StrictStr]] = Field(default=None, description="List of specific file IDs to process (used with file processing mode)", alias="FileIds")
from_time: Optional[StrictStr] = Field(default=None, description="Start time for time-based processing (ISO 8601 format)", alias="FromTime")
to_time: Optional[StrictStr] = Field(default=None, description="End time for time-based processing (ISO 8601 format)", alias="ToTime")
target_dataset_id: Optional[StrictStr] = Field(default=None, description="Target dataset ID for BDA extraction output", alias="TargetDatasetId")
target_dataset_provided: Optional[StrictBool] = Field(default=None, description="Flag indicating if target dataset is provided", alias="TargetDatasetProvided")
__properties: ClassVar[List[str]] = ["NumberOfWorkers", "Timeout", "FileProcessingMode", "FileIds", "FromTime", "ToTime", "TargetDatasetId", "TargetDatasetProvided"]
[docs]
@field_validator('file_processing_mode')
def file_processing_mode_validate_enum(cls, value):
"""Validates the enum"""
if value is None:
return value
if value not in set(['all', 'time-based', 'cdc', 'file']):
raise ValueError("must be one of enum values ('all', 'time-based', 'cdc', 'file')")
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 AdhocTriggerJobRequest 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 AdhocTriggerJobRequest from a dict"""
if obj is None:
return None
if not isinstance(obj, dict):
return cls.model_validate(obj)
_obj = cls.model_validate({
"NumberOfWorkers": obj.get("NumberOfWorkers"),
"Timeout": obj.get("Timeout"),
"FileProcessingMode": obj.get("FileProcessingMode"),
"FileIds": obj.get("FileIds"),
"FromTime": obj.get("FromTime"),
"ToTime": obj.get("ToTime"),
"TargetDatasetId": obj.get("TargetDatasetId"),
"TargetDatasetProvided": obj.get("TargetDatasetProvided")
})
return _obj