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MCP DuckDuckGo Search Plugin

models.py2.02 kB
""" Data models for the DuckDuckGo search plugin. """ from typing import List, Optional, Dict from pydantic import BaseModel class SearchResult(BaseModel): """A single search result.""" title: str url: str description: str published_date: Optional[str] = None # Optional field, may be used in some results # noqa: F841 # pragma: no cover # vulture: ignore class SearchResponse(BaseModel): """Response from DuckDuckGo search.""" results: List[SearchResult] total_results: int page: int = 1 # Current page number total_pages: int = 1 # Total number of pages has_next: bool = False # Whether there are more pages has_previous: bool = False # Whether there are previous pages class LinkedContent(BaseModel): """Content from a linked page discovered through spidering.""" url: str title: str content_snippet: Optional[str] = None relation: str = "linked" # Relationship to original page (e.g., "linked", "child", "parent") class DetailedResult(BaseModel): """Detailed information about a search result.""" title: str url: str description: str published_date: Optional[str] = None content_snippet: Optional[str] = None # A snippet of the content domain: Optional[str] = None # The domain of the result is_official: Optional[bool] = None # Whether this is an official source # Enhanced metadata author: Optional[str] = None # Author of the content keywords: Optional[List[str]] = None # Keywords or tags main_image: Optional[str] = None # URL of the main image # Social metadata social_links: Optional[Dict[str, str]] = None # Links to social profiles # Spidering results related_links: Optional[List[str]] = None # URLs of related links found on the page linked_content: Optional[List[LinkedContent]] = None # Content from linked pages # Content structure headings: Optional[List[str]] = None # Main headings on the page

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