mirror of
https://github.com/hwchase17/langchain
synced 2024-11-18 09:25:54 +00:00
ed58eeb9c5
Moved the following modules to new package langchain-community in a backwards compatible fashion: ``` mv langchain/langchain/adapters community/langchain_community mv langchain/langchain/callbacks community/langchain_community/callbacks mv langchain/langchain/chat_loaders community/langchain_community mv langchain/langchain/chat_models community/langchain_community mv langchain/langchain/document_loaders community/langchain_community mv langchain/langchain/docstore community/langchain_community mv langchain/langchain/document_transformers community/langchain_community mv langchain/langchain/embeddings community/langchain_community mv langchain/langchain/graphs community/langchain_community mv langchain/langchain/llms community/langchain_community mv langchain/langchain/memory/chat_message_histories community/langchain_community mv langchain/langchain/retrievers community/langchain_community mv langchain/langchain/storage community/langchain_community mv langchain/langchain/tools community/langchain_community mv langchain/langchain/utilities community/langchain_community mv langchain/langchain/vectorstores community/langchain_community mv langchain/langchain/agents/agent_toolkits community/langchain_community mv langchain/langchain/cache.py community/langchain_community mv langchain/langchain/adapters community/langchain_community mv langchain/langchain/callbacks community/langchain_community/callbacks mv langchain/langchain/chat_loaders community/langchain_community mv langchain/langchain/chat_models community/langchain_community mv langchain/langchain/document_loaders community/langchain_community mv langchain/langchain/docstore community/langchain_community mv langchain/langchain/document_transformers community/langchain_community mv langchain/langchain/embeddings community/langchain_community mv langchain/langchain/graphs community/langchain_community mv langchain/langchain/llms community/langchain_community mv langchain/langchain/memory/chat_message_histories community/langchain_community mv langchain/langchain/retrievers community/langchain_community mv langchain/langchain/storage community/langchain_community mv langchain/langchain/tools community/langchain_community mv langchain/langchain/utilities community/langchain_community mv langchain/langchain/vectorstores community/langchain_community mv langchain/langchain/agents/agent_toolkits community/langchain_community mv langchain/langchain/cache.py community/langchain_community ``` Moved the following to core ``` mv langchain/langchain/utils/json_schema.py core/langchain_core/utils mv langchain/langchain/utils/html.py core/langchain_core/utils mv langchain/langchain/utils/strings.py core/langchain_core/utils cat langchain/langchain/utils/env.py >> core/langchain_core/utils/env.py rm langchain/langchain/utils/env.py ``` See .scripts/community_split/script_integrations.sh for all changes
131 lines
4.2 KiB
Python
131 lines
4.2 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 langchain_core.pydantic_v1 import BaseModel, Extra, 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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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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backend: str = "api" # which backend to use in DDGS.text() (api, html, lite)
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source: str = "text" # which function to use in DDGS (DDGS.text() or DDGS.news())
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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 DDGS # noqa: F401
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except ImportError:
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raise ImportError(
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"Could not import duckduckgo-search python package. "
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"Please install it with `pip install -U duckduckgo-search`."
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)
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return values
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def _ddgs_text(
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self, query: str, max_results: Optional[int] = None
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) -> List[Dict[str, str]]:
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"""Run query through DuckDuckGo text search and return results."""
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from duckduckgo_search import DDGS
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with DDGS() as ddgs:
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ddgs_gen = ddgs.text(
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query,
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region=self.region,
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safesearch=self.safesearch,
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timelimit=self.time,
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max_results=max_results or self.max_results,
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backend=self.backend,
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)
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if ddgs_gen:
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return [r for r in ddgs_gen]
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return []
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def _ddgs_news(
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self, query: str, max_results: Optional[int] = None
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) -> List[Dict[str, str]]:
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"""Run query through DuckDuckGo news search and return results."""
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from duckduckgo_search import DDGS
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with DDGS() as ddgs:
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ddgs_gen = ddgs.news(
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query,
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region=self.region,
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safesearch=self.safesearch,
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timelimit=self.time,
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max_results=max_results or self.max_results,
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)
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if ddgs_gen:
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return [r for r in ddgs_gen]
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return []
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def run(self, query: str) -> str:
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"""Run query through DuckDuckGo and return concatenated results."""
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if self.source == "text":
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results = self._ddgs_text(query)
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elif self.source == "news":
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results = self._ddgs_news(query)
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else:
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results = []
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if not results:
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return "No good DuckDuckGo Search Result was found"
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return " ".join(r["body"] for r in results)
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def results(
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self, query: str, max_results: int, source: Optional[str] = None
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) -> 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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max_results: The number of results to return.
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source: The source to look from.
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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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source = source or self.source
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if source == "text":
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results = [
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{"snippet": r["body"], "title": r["title"], "link": r["href"]}
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for r in self._ddgs_text(query, max_results=max_results)
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]
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elif source == "news":
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results = [
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{
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"snippet": r["body"],
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"title": r["title"],
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"link": r["url"],
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"date": r["date"],
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"source": r["source"],
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}
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for r in self._ddgs_news(query, max_results=max_results)
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]
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else:
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results = []
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if results is None:
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results = [{"Result": "No good DuckDuckGo Search Result was found"}]
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return results
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