mirror of
https://github.com/block/goose.git
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Douwe Osinga
111 lines
3.4 KiB
Python
111 lines
3.4 KiB
Python
# coding: utf-8
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"""
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goose-server
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An AI agent
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The version of the OpenAPI document: 1.9.0
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Contact: ai-oss-tools@block.xyz
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Generated by OpenAPI Generator (https://openapi-generator.tech)
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Do not edit the class manually.
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""" # noqa: E501
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from __future__ import annotations
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import pprint
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import re # noqa: F401
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import json
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from pydantic import BaseModel, ConfigDict, StrictStr
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from typing import Any, ClassVar, Dict, List, Optional
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from goose_api.models.recipe_parameter_input_type import RecipeParameterInputType
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from goose_api.models.recipe_parameter_requirement import RecipeParameterRequirement
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from typing import Optional, Set
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from typing_extensions import Self
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class RecipeParameter(BaseModel):
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"""
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RecipeParameter
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""" # noqa: E501
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default: Optional[StrictStr] = None
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description: StrictStr
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input_type: RecipeParameterInputType
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key: StrictStr
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options: Optional[List[StrictStr]] = None
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requirement: RecipeParameterRequirement
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__properties: ClassVar[List[str]] = ["default", "description", "input_type", "key", "options", "requirement"]
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model_config = ConfigDict(
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populate_by_name=True,
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validate_assignment=True,
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protected_namespaces=(),
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)
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def to_str(self) -> str:
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"""Returns the string representation of the model using alias"""
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return pprint.pformat(self.model_dump(by_alias=True))
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def to_json(self) -> str:
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"""Returns the JSON representation of the model using alias"""
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# TODO: pydantic v2: use .model_dump_json(by_alias=True, exclude_unset=True) instead
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return json.dumps(self.to_dict())
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@classmethod
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def from_json(cls, json_str: str) -> Optional[Self]:
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"""Create an instance of RecipeParameter from a JSON string"""
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return cls.from_dict(json.loads(json_str))
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def to_dict(self) -> Dict[str, Any]:
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"""Return the dictionary representation of the model using alias.
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This has the following differences from calling pydantic's
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`self.model_dump(by_alias=True)`:
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* `None` is only added to the output dict for nullable fields that
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were set at model initialization. Other fields with value `None`
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are ignored.
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"""
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excluded_fields: Set[str] = set([
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])
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_dict = self.model_dump(
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by_alias=True,
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exclude=excluded_fields,
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exclude_none=True,
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)
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# set to None if default (nullable) is None
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# and model_fields_set contains the field
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if self.default is None and "default" in self.model_fields_set:
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_dict['default'] = None
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# set to None if options (nullable) is None
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# and model_fields_set contains the field
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if self.options is None and "options" in self.model_fields_set:
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_dict['options'] = None
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return _dict
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@classmethod
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def from_dict(cls, obj: Optional[Dict[str, Any]]) -> Optional[Self]:
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"""Create an instance of RecipeParameter from a dict"""
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if obj is None:
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return None
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if not isinstance(obj, dict):
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return cls.model_validate(obj)
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_obj = cls.model_validate({
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"default": obj.get("default"),
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"description": obj.get("description"),
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"input_type": obj.get("input_type"),
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"key": obj.get("key"),
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"options": obj.get("options"),
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"requirement": obj.get("requirement")
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})
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return _obj
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