langchain/libs/community/langchain_community/utilities/brave_search.py

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community[major], core[patch], langchain[patch], experimental[patch]: Create langchain-community (#14463) 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
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import json
from typing import List
import requests
from langchain_core.documents import Document
from langchain_core.pydantic_v1 import BaseModel, Field
class BraveSearchWrapper(BaseModel):
"""Wrapper around the Brave search engine."""
api_key: str
"""The API key to use for the Brave search engine."""
search_kwargs: dict = Field(default_factory=dict)
"""Additional keyword arguments to pass to the search request."""
base_url: str = "https://api.search.brave.com/res/v1/web/search"
"""The base URL for the Brave search engine."""
def run(self, query: str) -> str:
"""Query the Brave search engine and return the results as a JSON string.
Args:
query: The query to search for.
Returns: The results as a JSON string.
"""
web_search_results = self._search_request(query=query)
final_results = [
{
"title": item.get("title"),
"link": item.get("url"),
"snippet": item.get("description"),
}
for item in web_search_results
]
return json.dumps(final_results)
def download_documents(self, query: str) -> List[Document]:
"""Query the Brave search engine and return the results as a list of Documents.
Args:
query: The query to search for.
Returns: The results as a list of Documents.
"""
results = self._search_request(query)
return [
Document(
page_content=item.get("description"),
metadata={"title": item.get("title"), "link": item.get("url")},
)
for item in results
]
def _search_request(self, query: str) -> List[dict]:
headers = {
"X-Subscription-Token": self.api_key,
"Accept": "application/json",
}
req = requests.PreparedRequest()
params = {**self.search_kwargs, **{"q": query}}
req.prepare_url(self.base_url, params)
if req.url is None:
raise ValueError("prepared url is None, this should not happen")
response = requests.get(req.url, headers=headers)
if not response.ok:
raise Exception(f"HTTP error {response.status_code}")
return response.json().get("web", {}).get("results", [])