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from langchain.tools import tool
from bs4 import BeautifulSoup
import requests
from langchain.tools import tool
from duckduckgo_search import DDGS
class WebSearchTools:
#################################### - DDG SEARCH ENGINE TOOL - ####################################
@tool("internet_search", return_direct=False)
def internet_search(query: str) -> str:
"""
Performs an internet search using a DuckDuckGo-like service and returns the results.
Parameters:
query (str): The search query.
Returns:
str: The search results or a message indicating no results were found.
"""
# Assuming `ddgs` is initialized and ready to use here, with a context manager support
with DDGS() as ddgs:
results = [r for r in ddgs.text(query, max_results=3)]
return results if results else "No results found."
#################################### - DDG SEARCH ENGINE TOOL - ####################################
####################$################ - BS4 URL SCRAPER TOOL - ############$########################
@staticmethod
@tool("process_search_results", return_direct=False)
def process_search_results(url: str) -> str:
"""
Processes the content from webpages given a URL using BeautifulSoup.
Parameters:
url (str): The URL to fetch and process.
Returns:
str: The text content of the webpage.
"""
response = requests.get(url=url)
if response.status_code == 200:
soup = BeautifulSoup(response.content, "html.parser")
return soup.get_text()
else:
return "Failed to fetch content."
####################$################ - BS4 URL SCRAPER TOOL - ############$########################
# ddgs.text(query,maxresults=4,timelimit="d,w,y", keywords="2024")
@tool("forecast search", return_direct=False)
def forecast_search(query: str) -> str:
"""
**** Note: only pass the cryptocurrency name or symbol into the search query****
**** Note: Use the process_search_results to scrape results *******
Parameters:
query (str): The search query.
Returns:
str: The search results or a message indicating no results were found.
"""
# Assuming `ddgs` is initialized and ready to use here, with a context manager support
maxresults = 5
with DDGS() as ddgs:
results = [r for r in ddgs.text(f"site:digitalcoinprice.com/forecast {query}", max_results=maxresults)]
return results if results else "No results found."
@tool("technical signal search", return_direct=False)
def technicalsignals_search(query: str) -> str:
"""
*** Note - Pass only the cryptocurrency name or symbol in this tool and query*****
**** Note: Use the process_search_results to scrape results *******
Parameters:
query (str): The search query.
Returns:
str: The search results or a message indicating no results were found.
"""
# Assuming `ddgs` is initialized and ready to use here, with a context manager support
with DDGS() as ddgs:
results = [r for r in ddgs.text(f"site:centralcharts.com trade signals {query}", max_results=5)]
return results if results else "No results found."
@tool("price target search", return_direct=False)
def pricetargets_search(query: str) -> str:
"""
*** Note - Pass only the cryptocurrency name or symbol in this tool and query*****
Parameters:
query (str): The search query.
Returns:
str: The search results or a message indicating no results were found.
"""
# Assuming `ddgs` is initialized and ready to use here, with a context manager support
with DDGS() as ddgs:
results = [r for r in ddgs.text(f"site:coincodex.com prediction 2024 {query}", max_results=3)]
return results if results else "No results found."
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