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alibaba-nlp--deepresearch/WebAgent/WebDancer/demos/tools/private/visit.py
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2026-07-13 13:26:09 +08:00

173 lines
6.7 KiB
Python

import os
import json
import requests
from openai import OpenAI
from qwen_agent.tools.base import BaseTool, register_tool
from typing import List
from concurrent.futures import ThreadPoolExecutor, as_completed
MAX_MULTIQUERY_NUM = os.getenv("MAX_MULTIQUERY_NUM", 3)
JINA_API_KEY = os.getenv("JINA_API_KEY")
DASHSCOPE_KEY = os.getenv('DASHSCOPE_API_KEY')
extractor_prompt = """Please process the following webpage content and user goal to extract relevant information:
## **Webpage Content**
{webpage_content}
## **User Goal**
{goal}
## **Task Guidelines**
1. **Content Scanning**: Locate the **specific sections/data** directly related to the user's goal within the webpage content.
2. **Key Extraction**: Identify and extract the **most relevant information** from the content, you never miss any important information
3. **Summary Output**: Organize into a concise paragraph with logical flow, prioritizing clarity and judge the contribution of the information to the goal.
**Final Output Format using JSON format**:
{{
"rational": "string",
"evidence": "string",
"summary": "string",
}}
"""
def jina_readpage(url: str) -> str:
"""
Read webpage content using Jina service.
Args:
url: The URL to read
goal: The goal/purpose of reading the page
Returns:
str: The webpage content or error message
"""
headers = {
"Authorization": f"Bearer {JINA_API_KEY}",
}
max_retries = 3
timeout = 10
for attempt in range(max_retries):
try:
response = requests.get(
f"https://r.jina.ai/{url}",
headers=headers,
timeout=timeout
)
if response.status_code == 200:
webpage_content = response.text
return webpage_content
else:
print(response.text)
raise ValueError("jina readpage error")
except Exception as e:
if attempt == max_retries - 1:
return "[visit] Failed to read page."
return "[visit] Failed to read page."
@register_tool('visit', allow_overwrite=True)
class Visit(BaseTool):
name = 'visit'
description = 'Visit webpage(s) and return the summary of the content.'
parameters = {
"type": "object",
"properties": {
"url": {
"type": ["string", "array"],
"items": {
"type": "string"
},
"minItems": 1,
"description": "The URL(s) of the webpage(s) to visit. Can be a single URL or an array of URLs."
},
"goal": {
"type": "string",
"description": "The goal of the visit for webpage(s)."
}
},
"required": ["url", "goal"]
}
# The `call` method is the main function of the tool.
def call(self, params: str, **kwargs) -> str:
try:
params = self._verify_json_format_args(params)
url = params["url"]
goal = params["goal"]
except:
return "[Visit] Invalid request format: Input must be a JSON object containing 'url' and 'goal' fields"
if isinstance(url, str):
response = self.readpage(url, goal)
else:
response = []
assert isinstance(url, List)
with ThreadPoolExecutor(max_workers=MAX_MULTIQUERY_NUM) as executor:
futures = {executor.submit(self.readpage, u, goal): u for u in url}
for future in as_completed(futures):
try:
response.append(future.result())
except Exception as e:
response.append(f"Error fetching {futures[future]}: {str(e)}")
response = "\n=======\n".join(response)
return response.strip()
def llm(self, messages):
client = OpenAI(api_key=DASHSCOPE_KEY, base_url="https://dashscope.aliyuncs.com/compatible-mode/v1")
max_retries = 10
for attempt in range(max_retries):
response = client.chat.completions.create(
model="qwen2.5-72b-instruct",
messages=messages,
response_format={"type": "json_object"},
)
return response.choices[0].message.content
return ""
def readpage(self, url: str, goal: str) -> str:
"""
Attempt to read webpage content by alternating between jina and aidata services.
Args:
url: The URL to read
goal: The goal/purpose of reading the page
Returns:
str: The webpage content or error message
"""
max_attempts = 3
for attempt in range(max_attempts):
content = jina_readpage(url)
if content and not content.startswith("[visit] Failed to read page.") and content != "[visit] Empty content." and not content.startswith("[document_parser]"):
messages = [{"role":"user","content": extractor_prompt.format(webpage_content=content, goal=goal)}]
raw = self.llm(messages).replace("```json\n", "").replace("\n```", "").strip()
parse_retry_times = 0
try:
rawjson = json.loads(raw)
useful_information = "The useful information in {url} for user goal {goal} as follows: \n\n".format(url=url, goal=goal)
useful_information += "Evidence in page: \n" + rawjson.get("evidence", "The provided webpage content is not in json.") + "\n\n"
useful_information += "Summary: \n" + rawjson.get("summary", "The webpage content is not processed in json") + "\n\n"
if useful_information != "":
print("useful_information:",useful_information)
return useful_information
except Exception as e:
print("[visit] Failed to parse json:", e)
raw = self.llm(messages).replace("```json\n", "").replace("\n```", "")
parse_retry_times += 1
# If we're on the last attempt, return the last result
if attempt == max_attempts - 1:
useful_information = "The useful information in {url} for user goal {goal} as follows: \n\n".format(url=url, goal=goal)
useful_information += "Evidence in page: \n" + "The provided webpage content could not be accessed. Please check the URL or file format." + "\n\n"
useful_information += "Summary: \n" + "The webpage content could not be processed, and therefore, no information is available." + "\n\n"
return useful_information
if __name__ == '__main__':
print(Visit().readpage("https://github.com/callanwu/WebWalker-1?tab=readme-ov-file", "who are you?"))