# 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 goose_api.models.icon import Icon
from goose_api.models.tool_annotations import ToolAnnotations
from typing import Optional, Set
from typing_extensions import Self

class Tool(BaseModel):
    """
    Tool
    """ # noqa: E501
    annotations: Optional[ToolAnnotations] = None
    description: Optional[StrictStr] = None
    icons: Optional[List[Icon]] = None
    input_schema: Dict[str, Any] = Field(alias="inputSchema")
    name: StrictStr
    output_schema: Optional[Dict[str, Any]] = Field(default=None, alias="outputSchema")
    title: Optional[StrictStr] = None
    __properties: ClassVar[List[str]] = ["annotations", "description", "icons", "inputSchema", "name", "outputSchema", "title"]

    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 Tool 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 annotations
        if self.annotations:
            _dict['annotations'] = self.annotations.to_dict()
        # 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 Tool from a dict"""
        if obj is None:
            return None

        if not isinstance(obj, dict):
            return cls.model_validate(obj)

        _obj = cls.model_validate({
            "annotations": ToolAnnotations.from_dict(obj["annotations"]) if obj.get("annotations") is not None else None,
            "description": obj.get("description"),
            "icons": [Icon.from_dict(_item) for _item in obj["icons"]] if obj.get("icons") is not None else None,
            "inputSchema": obj.get("inputSchema"),
            "name": obj.get("name"),
            "outputSchema": obj.get("outputSchema"),
            "title": obj.get("title")
        })
        return _obj