Files
goose/api_clients/python/goose_api/models/config_key.py
2025-10-02 20:13:20 -04:00

102 lines
3.4 KiB
Python

# coding: utf-8
"""
goose-server
An AI agent
The version of the OpenAPI document: 1.9.0
Contact: ai-oss-tools@block.xyz
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, StrictStr
from typing import Any, ClassVar, Dict, List, Optional
from typing import Optional, Set
from typing_extensions import Self
class ConfigKey(BaseModel):
"""
Configuration key metadata for provider setup
""" # noqa: E501
default: Optional[StrictStr] = Field(default=None, description="Optional default value for the key")
name: StrictStr = Field(description="The name of the configuration key (e.g., \"API_KEY\")")
oauth_flow: StrictBool = Field(description="Whether this key should be configured using OAuth device code flow When true, the provider's configure_oauth() method will be called instead of prompting for manual input")
required: StrictBool = Field(description="Whether this key is required for the provider to function")
secret: StrictBool = Field(description="Whether this key should be stored securely (e.g., in keychain)")
__properties: ClassVar[List[str]] = ["default", "name", "oauth_flow", "required", "secret"]
model_config = ConfigDict(
populate_by_name=True,
validate_assignment=True,
protected_namespaces=(),
)
def to_str(self) -> str:
"""Returns the string representation of the model using alias"""
return pprint.pformat(self.model_dump(by_alias=True))
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())
@classmethod
def from_json(cls, json_str: str) -> Optional[Self]:
"""Create an instance of ConfigKey from a JSON string"""
return cls.from_dict(json.loads(json_str))
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,
)
# set to None if default (nullable) is None
# and model_fields_set contains the field
if self.default is None and "default" in self.model_fields_set:
_dict['default'] = None
return _dict
@classmethod
def from_dict(cls, obj: Optional[Dict[str, Any]]) -> Optional[Self]:
"""Create an instance of ConfigKey from a dict"""
if obj is None:
return None
if not isinstance(obj, dict):
return cls.model_validate(obj)
_obj = cls.model_validate({
"default": obj.get("default"),
"name": obj.get("name"),
"oauth_flow": obj.get("oauth_flow"),
"required": obj.get("required"),
"secret": obj.get("secret")
})
return _obj