# 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.model_by_id_get_response_body_output_schema_inner import ModelByIdGetResponseBodyOutputSchemaInner
from typing import Optional, Set
from typing_extensions import Self
[docs]
class ModelByIdGetResponseBody(BaseModel):
"""
ModelByIdGetResponseBody
""" # noqa: E501
supported_file_formats: Optional[List[StrictStr]] = Field(default=None, alias="SupportedFileFormats")
input_schema: Optional[List[Dict[str, Any]]] = Field(default=None, alias="InputSchema")
last_modified_by: Optional[StrictStr] = Field(default=None, alias="LastModifiedBy")
artifacts_location: Optional[StrictStr] = Field(default=None, alias="ArtifactsLocation")
keywords: Optional[List[StrictStr]] = Field(default=None, alias="Keywords")
description: Optional[StrictStr] = Field(default=None, alias="Description")
post_processed_glue_jobs: Optional[StrictStr] = Field(default=None, alias="PostProcessedGlueJobs")
is_subscribed_model: Optional[StrictStr] = Field(default=None, alias="IsSubscribedModel")
model_name: Optional[StrictStr] = Field(default=None, alias="ModelName")
algorithm_used: Optional[StrictStr] = Field(default=None, alias="AlgorithmUsed")
last_modified_time: Optional[StrictStr] = Field(default=None, alias="LastModifiedTime")
output_type: Optional[StrictStr] = Field(default=None, alias="OutputType")
output_schema: Optional[List[ModelByIdGetResponseBodyOutputSchemaInner]] = Field(default=None, alias="OutputSchema")
model_id: Optional[StrictStr] = Field(default=None, alias="ModelId")
creation_time: Optional[StrictStr] = Field(default=None, alias="CreationTime")
created_by: Optional[StrictStr] = Field(default=None, alias="CreatedBy")
pre_processed_glue_jobs: Optional[StrictStr] = Field(default=None, alias="PreProcessedGlueJobs")
access_type: Optional[StrictStr] = Field(default=None, alias="AccessType")
__properties: ClassVar[List[str]] = ["SupportedFileFormats", "InputSchema", "LastModifiedBy", "ArtifactsLocation", "Keywords", "Description", "PostProcessedGlueJobs", "IsSubscribedModel", "ModelName", "AlgorithmUsed", "LastModifiedTime", "OutputType", "OutputSchema", "ModelId", "CreationTime", "CreatedBy", "PreProcessedGlueJobs", "AccessType"]
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 ModelByIdGetResponseBody 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 each item in output_schema (list)
_items = []
if self.output_schema:
for _item_output_schema in self.output_schema:
if _item_output_schema:
_items.append(_item_output_schema.to_dict())
_dict['OutputSchema'] = _items
return _dict
[docs]
@classmethod
def from_dict(cls, obj: Optional[Dict[str, Any]]) -> Optional[Self]:
"""Create an instance of ModelByIdGetResponseBody from a dict"""
if obj is None:
return None
if not isinstance(obj, dict):
return cls.model_validate(obj)
_obj = cls.model_validate({
"SupportedFileFormats": obj.get("SupportedFileFormats"),
"InputSchema": obj.get("InputSchema"),
"LastModifiedBy": obj.get("LastModifiedBy"),
"ArtifactsLocation": obj.get("ArtifactsLocation"),
"Keywords": obj.get("Keywords"),
"Description": obj.get("Description"),
"PostProcessedGlueJobs": obj.get("PostProcessedGlueJobs"),
"IsSubscribedModel": obj.get("IsSubscribedModel"),
"ModelName": obj.get("ModelName"),
"AlgorithmUsed": obj.get("AlgorithmUsed"),
"LastModifiedTime": obj.get("LastModifiedTime"),
"OutputType": obj.get("OutputType"),
"OutputSchema": [ModelByIdGetResponseBodyOutputSchemaInner.from_dict(_item) for _item in obj["OutputSchema"]] if obj.get("OutputSchema") is not None else None,
"ModelId": obj.get("ModelId"),
"CreationTime": obj.get("CreationTime"),
"CreatedBy": obj.get("CreatedBy"),
"PreProcessedGlueJobs": obj.get("PreProcessedGlueJobs"),
"AccessType": obj.get("AccessType")
})
return _obj