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91 lines
2.7 KiB
Python
91 lines
2.7 KiB
Python
"""Util that calls DuckDuckGo Search.
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No setup required. Free.
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https://pypi.org/project/duckduckgo-search/
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"""
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from typing import Dict, List, Optional
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from pydantic import BaseModel, Extra
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from pydantic.class_validators import root_validator
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class DuckDuckGoSearchAPIWrapper(BaseModel):
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"""Wrapper for DuckDuckGo Search API.
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Free and does not require any setup
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"""
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k: int = 10
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region: Optional[str] = "wt-wt"
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safesearch: str = "moderate"
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time: Optional[str] = "y"
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max_results: int = 5
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class Config:
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"""Configuration for this pydantic object."""
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extra = Extra.forbid
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@root_validator()
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def validate_environment(cls, values: Dict) -> Dict:
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"""Validate that python package exists in environment."""
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try:
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from duckduckgo_search import ddg # noqa: F401
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except ImportError:
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raise ValueError(
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"Could not import duckduckgo-search python package. "
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"Please install it with `pip install duckduckgo-search`."
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)
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return values
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def run(self, query: str) -> str:
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from duckduckgo_search import ddg
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"""Run query through DuckDuckGo and return concatenated results."""
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results = ddg(
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query,
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region=self.region,
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safesearch=self.safesearch,
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time=self.time,
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max_results=self.max_results,
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)
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if results is None or len(results) == 0:
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return "No good DuckDuckGo Search Result was found"
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snippets = [result["body"] for result in results]
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return " ".join(snippets)
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def results(self, query: str, num_results: int) -> List[Dict[str, str]]:
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"""Run query through DuckDuckGo and return metadata.
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Args:
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query: The query to search for.
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num_results: The number of results to return.
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Returns:
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A list of dictionaries with the following keys:
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snippet - The description of the result.
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title - The title of the result.
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link - The link to the result.
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"""
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from duckduckgo_search import ddg
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results = ddg(
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query,
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region=self.region,
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safesearch=self.safesearch,
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time=self.time,
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max_results=num_results,
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)
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if results is None or len(results) == 0:
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return [{"Result": "No good DuckDuckGo Search Result was found"}]
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def to_metadata(result: Dict) -> Dict[str, str]:
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return {
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"snippet": result["body"],
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"title": result["title"],
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"link": result["href"],
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}
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return [to_metadata(result) for result in results]
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