# 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, StrictStr from typing import Any, ClassVar, Dict, List, Optional from typing_extensions import Annotated from goose_api.models.icon import Icon from typing import Optional, Set from typing_extensions import Self class RawResource(BaseModel): """ RawResource """ # noqa: E501 description: Optional[StrictStr] = None icons: Optional[List[Icon]] = None mime_type: Optional[StrictStr] = Field(default=None, alias="mimeType") name: StrictStr size: Optional[Annotated[int, Field(strict=True, ge=0)]] = None title: Optional[StrictStr] = None uri: StrictStr __properties: ClassVar[List[str]] = ["description", "icons", "mimeType", "name", "size", "title", "uri"] 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 RawResource 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, ) # override the default output from pydantic by calling `to_dict()` of each item in icons (list) _items = [] if self.icons: for _item_icons in self.icons: if _item_icons: _items.append(_item_icons.to_dict()) _dict['icons'] = _items return _dict @classmethod def from_dict(cls, obj: Optional[Dict[str, Any]]) -> Optional[Self]: """Create an instance of RawResource from a dict""" if obj is None: return None if not isinstance(obj, dict): return cls.model_validate(obj) _obj = cls.model_validate({ "description": obj.get("description"), "icons": [Icon.from_dict(_item) for _item in obj["icons"]] if obj.get("icons") is not None else None, "mimeType": obj.get("mimeType"), "name": obj.get("name"), "size": obj.get("size"), "title": obj.get("title"), "uri": obj.get("uri") }) return _obj