# coding: utf-8

"""
    WordLift API

    WordLift API

    The version of the OpenAPI document: 1.0
    Contact: hello@wordlift.io
    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 WellKnownFiles(BaseModel):
    """
    Status of .well-known directory files
    """ # noqa: E501
    ai_plugin: Optional[StrictBool] = Field(default=None, description="Whether .well-known/ai-plugin.json exists (ChatGPT/OpenAI plugins)", alias="aiPlugin")
    ucp: Optional[StrictBool] = Field(default=None, description="Whether .well-known/ucp.json exists (Universal Commerce Protocol)")
    security: Optional[StrictBool] = Field(default=None, description="Whether .well-known/security.txt exists (security contact info)")
    asset_links: Optional[StrictBool] = Field(default=None, description="Whether .well-known/assetlinks.json exists (Android deep linking)", alias="assetLinks")
    apple_association: Optional[StrictBool] = Field(default=None, description="Whether .well-known/apple-app-site-association exists (iOS deep linking)", alias="appleAssociation")
    llms_txt: Optional[StrictBool] = Field(default=None, description="Whether .well-known/llms.txt exists (alternative LLM instructions location)", alias="llmsTxt")
    mcp_json: Optional[StrictBool] = Field(default=None, description="Whether .well-known/mcp.json exists (WebMCP manifest exposing callable tools to AI agents)", alias="mcpJson")
    mcp_link_tag: Optional[StrictBool] = Field(default=None, description="Whether a `<link rel=\"mcp\">` discovery tag was detected in the page HTML", alias="mcpLinkTag")
    mcp_endpoint: Optional[StrictStr] = Field(default=None, description="The href value of the `<link rel=\"mcp\">` tag, if present; null otherwise", alias="mcpEndpoint")
    __properties: ClassVar[List[str]] = ["aiPlugin", "ucp", "security", "assetLinks", "appleAssociation", "llmsTxt", "mcpJson", "mcpLinkTag", "mcpEndpoint"]

    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 WellKnownFiles 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 mcp_endpoint (nullable) is None
        # and model_fields_set contains the field
        if self.mcp_endpoint is None and "mcp_endpoint" in self.model_fields_set:
            _dict['mcpEndpoint'] = None

        return _dict

    @classmethod
    def from_dict(cls, obj: Optional[Dict[str, Any]]) -> Optional[Self]:
        """Create an instance of WellKnownFiles from a dict"""
        if obj is None:
            return None

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

        _obj = cls.model_validate({
            "aiPlugin": obj.get("aiPlugin"),
            "ucp": obj.get("ucp"),
            "security": obj.get("security"),
            "assetLinks": obj.get("assetLinks"),
            "appleAssociation": obj.get("appleAssociation"),
            "llmsTxt": obj.get("llmsTxt"),
            "mcpJson": obj.get("mcpJson"),
            "mcpLinkTag": obj.get("mcpLinkTag"),
            "mcpEndpoint": obj.get("mcpEndpoint")
        })
        return _obj


