mirror of
https://github.com/block/goose.git
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Douwe Osinga
113 lines
3.7 KiB
Python
113 lines
3.7 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, Field, StrictStr
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from typing import Any, ClassVar, Dict, List, Optional
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from goose_api.models.icon import Icon
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from goose_api.models.tool_annotations import ToolAnnotations
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from typing import Optional, Set
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from typing_extensions import Self
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class Tool(BaseModel):
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"""
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Tool
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""" # noqa: E501
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annotations: Optional[ToolAnnotations] = None
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description: Optional[StrictStr] = None
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icons: Optional[List[Icon]] = None
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input_schema: Dict[str, Any] = Field(alias="inputSchema")
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name: StrictStr
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output_schema: Optional[Dict[str, Any]] = Field(default=None, alias="outputSchema")
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title: Optional[StrictStr] = None
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__properties: ClassVar[List[str]] = ["annotations", "description", "icons", "inputSchema", "name", "outputSchema", "title"]
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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 Tool 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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# override the default output from pydantic by calling `to_dict()` of annotations
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if self.annotations:
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_dict['annotations'] = self.annotations.to_dict()
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# override the default output from pydantic by calling `to_dict()` of each item in icons (list)
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_items = []
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if self.icons:
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for _item_icons in self.icons:
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if _item_icons:
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_items.append(_item_icons.to_dict())
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_dict['icons'] = _items
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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 Tool 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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"annotations": ToolAnnotations.from_dict(obj["annotations"]) if obj.get("annotations") is not None else None,
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"description": obj.get("description"),
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"icons": [Icon.from_dict(_item) for _item in obj["icons"]] if obj.get("icons") is not None else None,
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"inputSchema": obj.get("inputSchema"),
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"name": obj.get("name"),
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"outputSchema": obj.get("outputSchema"),
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"title": obj.get("title")
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})
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return _obj
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