Many resources are needed to download a project. Please understand that we have to compensate our server costs. Thank you in advance. Project price only 1 $
You can buy this project and download/modify it how often you want.
from __future__ import annotations
import json
import pprint
{{#vendorExtensions.x-py-other-imports}}
{{{.}}}
{{/vendorExtensions.x-py-other-imports}}
{{#vendorExtensions.x-py-model-imports}}
{{{.}}}
{{/vendorExtensions.x-py-model-imports}}
from pydantic import StrictStr, Field
from typing import Union, List, Set, Optional, Dict
from typing_extensions import Literal, Self
{{#lambda.uppercase}}{{{classname}}}{{/lambda.uppercase}}_ONE_OF_SCHEMAS = [{{#oneOf}}"{{.}}"{{^-last}}, {{/-last}}{{/oneOf}}]
class {{classname}}({{#parent}}{{{.}}}{{/parent}}{{^parent}}BaseModel{{/parent}}):
"""
{{{description}}}{{^description}}{{{classname}}}{{/description}}
"""
{{#composedSchemas.oneOf}}
# data type: {{{dataType}}}
{{vendorExtensions.x-py-name}}: {{{vendorExtensions.x-py-typing}}}
{{/composedSchemas.oneOf}}
actual_instance: Optional[Union[{{#oneOf}}{{{.}}}{{^-last}}, {{/-last}}{{/oneOf}}]] = None
one_of_schemas: Set[str] = { {{#oneOf}}"{{.}}"{{^-last}}, {{/-last}}{{/oneOf}} }
model_config = ConfigDict(
validate_assignment=True,
protected_namespaces=(),
)
{{#discriminator}}
discriminator_value_class_map: Dict[str, str] = {
{{#children}}
'{{^vendorExtensions.x-discriminator-value}}{{name}}{{/vendorExtensions.x-discriminator-value}}{{#vendorExtensions.x-discriminator-value}}{{{vendorExtensions.x-discriminator-value}}}{{/vendorExtensions.x-discriminator-value}}': '{{{classname}}}'{{^-last}},{{/-last}}
{{/children}}
}
{{/discriminator}}
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)
@field_validator('actual_instance')
def actual_instance_must_validate_oneof(cls, v):
{{#isNullable}}
if v is None:
return v
{{/isNullable}}
instance = {{{classname}}}.model_construct()
error_messages = []
match = 0
{{#composedSchemas.oneOf}}
# validate data type: {{{dataType}}}
{{#isContainer}}
try:
instance.{{vendorExtensions.x-py-name}} = v
match += 1
except (ValidationError, ValueError) as e:
error_messages.append(str(e))
{{/isContainer}}
{{^isContainer}}
{{#isPrimitiveType}}
try:
instance.{{vendorExtensions.x-py-name}} = v
match += 1
except (ValidationError, ValueError) as e:
error_messages.append(str(e))
{{/isPrimitiveType}}
{{^isPrimitiveType}}
if not isinstance(v, {{{dataType}}}):
error_messages.append(f"Error! Input type `{type(v)}` is not `{{{dataType}}}`")
else:
match += 1
{{/isPrimitiveType}}
{{/isContainer}}
{{/composedSchemas.oneOf}}
if match > 1:
# more than 1 match
raise ValueError("Multiple matches found when setting `actual_instance` in {{{classname}}} with oneOf schemas: {{#oneOf}}{{{.}}}{{^-last}}, {{/-last}}{{/oneOf}}. Details: " + ", ".join(error_messages))
elif match == 0:
# no match
raise ValueError("No match found when setting `actual_instance` in {{{classname}}} with oneOf schemas: {{#oneOf}}{{{.}}}{{^-last}}, {{/-last}}{{/oneOf}}. Details: " + ", ".join(error_messages))
else:
return v
@classmethod
def from_dict(cls, obj: Union[str, Dict[str, Any]]) -> Self:
return cls.from_json(json.dumps(obj))
@classmethod
{{#isNullable}}
def from_json(cls, json_str: Optional[str]) -> Self:
{{/isNullable}}
{{^isNullable}}
def from_json(cls, json_str: str) -> Self:
{{/isNullable}}
"""Returns the object represented by the json string"""
instance = cls.model_construct()
{{#isNullable}}
if json_str is None:
return instance
{{/isNullable}}
error_messages = []
match = 0
{{#useOneOfDiscriminatorLookup}}
{{#discriminator}}
{{#mappedModels}}
{{#-first}}
# use oneOf discriminator to lookup the data type
_data_type = json.loads(json_str).get("{{{propertyBaseName}}}")
if not _data_type:
raise ValueError("Failed to lookup data type from the field `{{{propertyBaseName}}}` in the input.")
{{/-first}}
# check if data type is `{{{modelName}}}`
if _data_type == "{{{mappingName}}}":
instance.actual_instance = {{{modelName}}}.from_json(json_str)
return instance
{{/mappedModels}}
{{/discriminator}}
{{/useOneOfDiscriminatorLookup}}
{{#composedSchemas.oneOf}}
{{#isContainer}}
# deserialize data into {{{dataType}}}
try:
# validation
instance.{{vendorExtensions.x-py-name}} = json.loads(json_str)
# assign value to actual_instance
instance.actual_instance = instance.{{vendorExtensions.x-py-name}}
match += 1
except (ValidationError, ValueError) as e:
error_messages.append(str(e))
{{/isContainer}}
{{^isContainer}}
{{#isPrimitiveType}}
# deserialize data into {{{dataType}}}
try:
# validation
instance.{{vendorExtensions.x-py-name}} = json.loads(json_str)
# assign value to actual_instance
instance.actual_instance = instance.{{vendorExtensions.x-py-name}}
match += 1
except (ValidationError, ValueError) as e:
error_messages.append(str(e))
{{/isPrimitiveType}}
{{^isPrimitiveType}}
# deserialize data into {{{dataType}}}
try:
instance.actual_instance = {{{dataType}}}.from_json(json_str)
match += 1
except (ValidationError, ValueError) as e:
error_messages.append(str(e))
{{/isPrimitiveType}}
{{/isContainer}}
{{/composedSchemas.oneOf}}
if match > 1:
# more than 1 match
raise ValueError("Multiple matches found when deserializing the JSON string into {{{classname}}} with oneOf schemas: {{#oneOf}}{{{.}}}{{^-last}}, {{/-last}}{{/oneOf}}. Details: " + ", ".join(error_messages))
elif match == 0:
# no match
raise ValueError("No match found when deserializing the JSON string into {{{classname}}} with oneOf schemas: {{#oneOf}}{{{.}}}{{^-last}}, {{/-last}}{{/oneOf}}. Details: " + ", ".join(error_messages))
else:
return instance
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)
def to_dict(self) -> Optional[Union[Dict[str, Any], {{#oneOf}}{{{.}}}{{^-last}}, {{/-last}}{{/oneOf}}]]:
"""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
def to_str(self) -> str:
"""Returns the string representation of the actual instance"""
return pprint.pformat(self.model_dump())
{{#vendorExtensions.x-py-postponed-model-imports.size}}
{{#vendorExtensions.x-py-postponed-model-imports}}
{{{.}}}
{{/vendorExtensions.x-py-postponed-model-imports}}
# TODO: Rewrite to not use raise_errors
{{classname}}.model_rebuild(raise_errors=False)
{{/vendorExtensions.x-py-postponed-model-imports.size}}