"""
No description provided (generated by Openapi Generator https://github.com/openapitools/openapi-generator)
The version of the OpenAPI document: 1.0.0
Generated by OpenAPI Generator (https://openapi-generator.tech)
Do not edit the class manually.
"""
from __future__ import annotations
import json
import pprint
from typing import Any, Dict, Set, Union
from pydantic import BaseModel, ConfigDict, ValidationError, field_validator
from typing_extensions import Self
from annofabapi.pydantic_models.task_generate_rule_by_count import TaskGenerateRuleByCount
from annofabapi.pydantic_models.task_generate_rule_by_directory import TaskGenerateRuleByDirectory
from annofabapi.pydantic_models.task_generate_rule_by_input_data_csv import TaskGenerateRuleByInputDataCsv
TASKGENERATERULE_ONE_OF_SCHEMAS = ["TaskGenerateRuleByCount", "TaskGenerateRuleByDirectory", "TaskGenerateRuleByInputDataCsv"]
[docs]
class TaskGenerateRule(BaseModel):
"""
タスク生成のルール * `TaskGenerateRuleByCount`: 1つのタスクに割り当てる入力データの個数を指定してタスクを生成します。 * `TaskGenerateRuleByDirectory`: 入力データ名をファイルパスに見立てて、ディレクトリ単位でタスクを生成します。 * `TaskGenerateRuleByInputDataCsv`: 各タスクへの入力データへの割り当てを記入したCSVをアップロードした、一時データ保存先パスを指定してタスクを生成します。
"""
# data type: TaskGenerateRuleByCount
oneof_schema_1_validator: TaskGenerateRuleByCount | None = None
# data type: TaskGenerateRuleByDirectory
oneof_schema_2_validator: TaskGenerateRuleByDirectory | None = None
# data type: TaskGenerateRuleByInputDataCsv
oneof_schema_3_validator: TaskGenerateRuleByInputDataCsv | None = None
actual_instance: Union[TaskGenerateRuleByCount, TaskGenerateRuleByDirectory, TaskGenerateRuleByInputDataCsv] | None = None
one_of_schemas: Set[str] = {"TaskGenerateRuleByCount", "TaskGenerateRuleByDirectory", "TaskGenerateRuleByInputDataCsv"}
model_config = ConfigDict(
validate_assignment=True,
protected_namespaces=(),
)
discriminator_value_class_map: Dict[str, str] = {}
def __init__(self, *args, **kwargs) -> None:
if args:
if len(args) > 1:
raise ValueError("If a position argument is used, only 1 is allowed to set `actual_instance`")
if kwargs:
raise ValueError("If a position argument is used, keyword arguments cannot be used.")
super().__init__(actual_instance=args[0])
else:
super().__init__(**kwargs)
[docs]
@field_validator("actual_instance")
def actual_instance_must_validate_oneof(cls, v):
instance = TaskGenerateRule.model_construct()
error_messages = []
match = 0
# validate data type: TaskGenerateRuleByCount
if not isinstance(v, TaskGenerateRuleByCount):
error_messages.append(f"Error! Input type `{type(v)}` is not `TaskGenerateRuleByCount`")
else:
match += 1
# validate data type: TaskGenerateRuleByDirectory
if not isinstance(v, TaskGenerateRuleByDirectory):
error_messages.append(f"Error! Input type `{type(v)}` is not `TaskGenerateRuleByDirectory`")
else:
match += 1
# validate data type: TaskGenerateRuleByInputDataCsv
if not isinstance(v, TaskGenerateRuleByInputDataCsv):
error_messages.append(f"Error! Input type `{type(v)}` is not `TaskGenerateRuleByInputDataCsv`")
else:
match += 1
if match > 1:
# more than 1 match
raise ValueError(
"Multiple matches found when setting `actual_instance` in TaskGenerateRule with oneOf schemas: TaskGenerateRuleByCount, TaskGenerateRuleByDirectory, TaskGenerateRuleByInputDataCsv. Details: "
+ ", ".join(error_messages)
)
elif match == 0:
# no match
raise ValueError(
"No match found when setting `actual_instance` in TaskGenerateRule with oneOf schemas: TaskGenerateRuleByCount, TaskGenerateRuleByDirectory, TaskGenerateRuleByInputDataCsv. Details: "
+ ", ".join(error_messages)
)
else:
return v
[docs]
@classmethod
def from_dict(cls, obj: Union[str, Dict[str, Any]]) -> Self:
return cls.from_json(json.dumps(obj))
[docs]
@classmethod
def from_json(cls, json_str: str) -> Self:
"""Returns the object represented by the json string"""
instance = cls.model_construct()
error_messages = []
match = 0
# deserialize data into TaskGenerateRuleByCount
try:
instance.actual_instance = TaskGenerateRuleByCount.from_json(json_str)
match += 1
except (ValidationError, ValueError) as e:
error_messages.append(str(e))
# deserialize data into TaskGenerateRuleByDirectory
try:
instance.actual_instance = TaskGenerateRuleByDirectory.from_json(json_str)
match += 1
except (ValidationError, ValueError) as e:
error_messages.append(str(e))
# deserialize data into TaskGenerateRuleByInputDataCsv
try:
instance.actual_instance = TaskGenerateRuleByInputDataCsv.from_json(json_str)
match += 1
except (ValidationError, ValueError) as e:
error_messages.append(str(e))
if match > 1:
# more than 1 match
raise ValueError(
"Multiple matches found when deserializing the JSON string into TaskGenerateRule with oneOf schemas: TaskGenerateRuleByCount, TaskGenerateRuleByDirectory, TaskGenerateRuleByInputDataCsv. Details: "
+ ", ".join(error_messages)
)
elif match == 0:
# no match
raise ValueError(
"No match found when deserializing the JSON string into TaskGenerateRule with oneOf schemas: TaskGenerateRuleByCount, TaskGenerateRuleByDirectory, TaskGenerateRuleByInputDataCsv. Details: "
+ ", ".join(error_messages)
)
else:
return instance
[docs]
def to_json(self) -> str:
"""Returns the JSON representation of the actual instance"""
if self.actual_instance is None:
return "null"
if hasattr(self.actual_instance, "to_json") and callable(self.actual_instance.to_json):
return self.actual_instance.to_json()
else:
return json.dumps(self.actual_instance)
[docs]
def to_dict(self) -> Union[Dict[str, Any], TaskGenerateRuleByCount, TaskGenerateRuleByDirectory, TaskGenerateRuleByInputDataCsv] | None:
"""Returns the dict representation of the actual instance"""
if self.actual_instance is None:
return None
if hasattr(self.actual_instance, "to_dict") and callable(self.actual_instance.to_dict):
return self.actual_instance.to_dict()
else:
# primitive type
return self.actual_instance
[docs]
def to_str(self) -> str:
"""Returns the string representation of the actual instance"""
return pprint.pformat(self.model_dump())
