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260 lines
11 KiB
Python
260 lines
11 KiB
Python
# coding: utf-8
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import json
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import os
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import requests
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from typing import Tuple, Any, List, Dict
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from examples.common.tools.tool_action import SearchAction
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from aworld.core.tool.action_factory import ActionFactory
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from aworld.core.common import ActionModel, ActionResult
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from aworld.logs.util import logger
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from aworld.utils import import_package
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from aworld.core.tool.action import ExecutableAction
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# @ActionFactory.register(name=SearchAction.WIKI.value.name,
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# desc=SearchAction.WIKI.value.desc,
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# tool_name='search_api')
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class SearchWiki(ExecutableAction):
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def __init__(self):
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import_package("wikipedia")
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def act(self, action: ActionModel, **kwargs) -> Tuple[ActionResult, Any]:
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import wikipedia
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query = action.params.get("query")
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logger.info(f"Calling search_wiki api with query: {query}")
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result: str = ''
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try:
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page = wikipedia.page(query)
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result_dict = {
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'url': page.url,
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'title': page.title,
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'content': page.content,
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}
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result = str(result_dict)
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except wikipedia.exceptions.DisambiguationError as e:
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result = wikipedia.summary(
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e.options[0], sentences=5, auto_suggest=False
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)
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except wikipedia.exceptions.PageError:
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result = (
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"There is no page in Wikipedia corresponding to entity "
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f"{query}, please specify another word to describe the"
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" entity to be searched."
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)
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except Exception as e:
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logger.error(f"An exception occurred during the search: {e}")
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result = f"An exception occurred during the search: {e}"
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logger.debug(f"wiki result: {result}")
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return ActionResult(content=result, keep=True, is_done=True), None
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# @ActionFactory.register(name=SearchAction.DUCK_GO.value.name,
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# desc=SearchAction.DUCK_GO.value.desc,
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# tool_name="search_api")
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class Duckduckgo(ExecutableAction):
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def __init__(self):
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import_package("duckduckgo_search")
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def act(self, action: ActionModel, **kwargs) -> Tuple[ActionResult, Any]:
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r"""Use DuckDuckGo search engine to search information for
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the given query.
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This function queries the DuckDuckGo API for related topics to
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the given search term. The results are formatted into a list of
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dictionaries, each representing a search result.
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Args:
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query (str): The query to be searched.
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source (str): The type of information to query (e.g., "text",
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"images", "videos"). Defaults to "text".
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max_results (int): Max number of results, defaults to `5`.
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Returns:
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List[Dict[str, Any]]: A list of dictionaries where each dictionary
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represents a search result.
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"""
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from duckduckgo_search import DDGS
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params = action.params
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query = params.get("query")
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max_results = params.get("max_results", 5)
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source = params.get("source", "text")
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logger.debug(f"Calling search_duckduckgo function with query: {query}")
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ddgs = DDGS()
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responses: List[Dict[str, Any]] = []
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if source == "text":
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try:
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results = ddgs.text(keywords=query, max_results=max_results)
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except Exception as e:
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# Handle specific exceptions or general request exceptions
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responses.append({"error": f"duckduckgo search failed.{e}"})
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return ActionResult(content="duckduckgo search failed", keep=True), responses
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for i, result in enumerate(results, start=1):
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# Creating a response object with a similar structure
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response = {
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"result_id": i,
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"title": result["title"],
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"description": result["body"],
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"url": result["href"],
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}
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responses.append(response)
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elif source == "images":
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try:
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results = ddgs.images(keywords=query, max_results=max_results)
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except Exception as e:
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# Handle specific exceptions or general request exceptions
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responses.append({"error": f"duckduckgo search failed.{e}"})
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return ActionResult(content="duckduckgo search failed", keep=True), responses
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# Iterate over results found
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for i, result in enumerate(results, start=1):
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# Creating a response object with a similar structure
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response = {
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"result_id": i,
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"title": result["title"],
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"image": result["image"],
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"url": result["url"],
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"source": result["source"],
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}
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responses.append(response)
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elif source == "videos":
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try:
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results = ddgs.videos(keywords=query, max_results=max_results)
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except Exception as e:
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# Handle specific exceptions or general request exceptions
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responses.append({"error": f"duckduckgo search failed.{e}"})
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return ActionResult(content="duckduckgo search failed", keep=True), responses
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# Iterate over results found
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for i, result in enumerate(results, start=1):
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# Creating a response object with a similar structure
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response = {
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"result_id": i,
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"title": result["title"],
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"description": result["description"],
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"embed_url": result["embed_url"],
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"publisher": result["publisher"],
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"duration": result["duration"],
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"published": result["published"],
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}
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responses.append(response)
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logger.debug(f"Search results: {responses}")
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return ActionResult(content=json.dumps(responses), keep=True, is_done=True), None
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# @ActionFactory.register(name=SearchAction.GOOGLE.value.name,
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# desc=SearchAction.GOOGLE.value.desc,
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# tool_name="search_api")
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class SearchGoogle(ExecutableAction):
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def act(self, action: ActionModel, **kwargs) -> Tuple[ActionResult, Any]:
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query = action.params.get("query")
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num_result_pages = action.params.get("num_result_pages", 6)
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# https://developers.google.com/custom-search/v1/overview
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api_key = action.params.get("api_key", os.environ.get("GOOGLE_API_KEY"))
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# https://cse.google.com/cse/all
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engine_id = action.params.get("engine_id", os.environ.get("GOOGLE_ENGINE_ID"))
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logger.debug(f"Calling search_google function with query: {query}")
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# Using the first page
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start_page_idx = 1
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# Different language may get different result
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search_language = "en"
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# How many pages to return
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num_result_pages = num_result_pages
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# Constructing the URL
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# Doc: https://developers.google.com/custom-search/v1/using_rest
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url = f"https://www.googleapis.com/customsearch/v1?key={api_key}&cx={engine_id}&q={query}&start={start_page_idx}&lr={search_language}&num={num_result_pages}"
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responses = []
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try:
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result = requests.get(url)
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result.raise_for_status()
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data = result.json()
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# Get the result items
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if "items" in data:
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search_items = data.get("items")
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for i, search_item in enumerate(search_items, start=1):
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# Check metatags are present
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if "pagemap" not in search_item:
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continue
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if "metatags" not in search_item["pagemap"]:
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continue
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if "og:description" in search_item["pagemap"]["metatags"][0]:
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long_description = search_item["pagemap"]["metatags"][0]["og:description"]
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else:
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long_description = "N/A"
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# Get the page title
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title = search_item.get("title")
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# Page snippet
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snippet = search_item.get("snippet")
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# Extract the page url
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link = search_item.get("link")
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response = {
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"result_id": i,
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"title": title,
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"description": snippet,
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"long_description": long_description,
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"url": link,
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}
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if "huggingface.co" in link:
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logger.warning(f"Filter out the link: {link}")
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continue
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responses.append(response)
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else:
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responses.append({"error": f"google search failed with response: {data}"})
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except Exception as e:
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logger.error(f"Google search failed with error: {e}")
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responses.append({"error": f"google search failed with error: {e}"})
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if len(responses) == 0:
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responses.append(
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"No relevant webpages found. Please simplify your query and expand the search space as much as you can, then try again.")
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logger.debug(f"search result: {responses}")
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responses.append(
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"If the search result does not contain the information you want, please make reflection on your query: what went well, what didn't, then refine your search plan.")
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return ActionResult(content=json.dumps(responses), keep=True, is_done=True), None
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@ActionFactory.register(name=SearchAction.BAIDU.value.name,
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desc=SearchAction.BAIDU.value.desc,
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tool_name="search_api")
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class SearchBaidu(ExecutableAction):
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def __init__(self):
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import_package("baidusearch")
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def act(self, action: ActionModel, **kwargs) -> Tuple[ActionResult, Any]:
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from baidusearch.baidusearch import search
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query = action.params.get("query")
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num_results = action.params.get("num_results", 6)
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num_results = int(num_results)
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logger.debug(f"Calling search_baidu with query: {query}")
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responses = []
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try:
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responses = search(query, num_results=num_results)
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except Exception as e:
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logger.error(f"Baidu search failed with error: {e}")
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responses.append({"error": f"baidu search failed with error: {e}"})
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if len(responses) == 0:
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responses.append(
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"No relevant webpages found. Please simplify your query and expand the search space as much as you can, then try again.")
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logger.debug(f"search result: {responses}")
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responses.append(
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"If the search result does not contain the information you want, please make reflection on your query: what went well, what didn't, then refine your search plan.")
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return ActionResult(content=json.dumps(responses), keep=True, is_done=True), None
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