mirror of
https://github.com/Xe138/AI-Trader.git
synced 2026-04-01 17:17:24 -04:00
272 lines
9.7 KiB
Python
272 lines
9.7 KiB
Python
from typing import Dict, Any, Optional, List
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import os
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import logging
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import requests
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import requests
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from fastmcp import FastMCP
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from dotenv import load_dotenv
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load_dotenv()
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import random
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from datetime import datetime, timedelta
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import re
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import json
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import sys
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import os
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sys.path.append(os.path.dirname(os.path.dirname(os.path.abspath(__file__))))
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from tools.general_tools import get_config_value
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logger = logging.getLogger(__name__)
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def parse_date_to_standard(date_str: str) -> str:
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"""
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Convert various date formats to standard format (YYYY-MM-DD HH:MM:SS)
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Args:
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date_str: Date string in various formats, such as "2025-10-01T08:19:28+00:00", "4 hours ago", "1 day ago", "May 31, 2025"
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Returns:
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Standard format datetime string, such as "2025-10-01 08:19:28"
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"""
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if not date_str or date_str == 'unknown':
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return 'unknown'
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# Handle relative time formats
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if 'ago' in date_str.lower():
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try:
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now = datetime.now()
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if 'hour' in date_str.lower():
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hours = int(re.findall(r'\d+', date_str)[0])
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target_date = now - timedelta(hours=hours)
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elif 'day' in date_str.lower():
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days = int(re.findall(r'\d+', date_str)[0])
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target_date = now - timedelta(days=days)
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elif 'week' in date_str.lower():
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weeks = int(re.findall(r'\d+', date_str)[0])
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target_date = now - timedelta(weeks=weeks)
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elif 'month' in date_str.lower():
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months = int(re.findall(r'\d+', date_str)[0])
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target_date = now - timedelta(days=months * 30) # Approximate handling
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else:
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return 'unknown'
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return target_date.strftime('%Y-%m-%d %H:%M:%S')
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except Exception:
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pass
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# Handle ISO 8601 format, such as "2025-10-01T08:19:28+00:00"
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try:
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if 'T' in date_str and ('+' in date_str or 'Z' in date_str or date_str.endswith('00:00')):
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# Remove timezone information, keep only date and time part
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if '+' in date_str:
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date_part = date_str.split('+')[0]
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elif 'Z' in date_str:
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date_part = date_str.replace('Z', '')
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else:
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date_part = date_str
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# Parse ISO format
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if '.' in date_part:
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# Handle microseconds part, such as "2025-10-01T08:19:28.123456"
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parsed_date = datetime.strptime(date_part.split('.')[0], '%Y-%m-%dT%H:%M:%S')
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else:
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# Standard ISO format "2025-10-01T08:19:28"
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parsed_date = datetime.strptime(date_part, '%Y-%m-%dT%H:%M:%S')
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return parsed_date.strftime('%Y-%m-%d %H:%M:%S')
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except Exception:
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pass
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# Handle other common formats
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try:
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# Handle "May 31, 2025" format
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if ',' in date_str and len(date_str.split()) >= 3:
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parsed_date = datetime.strptime(date_str, '%b %d, %Y')
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return parsed_date.strftime('%Y-%m-%d %H:%M:%S')
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except Exception:
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pass
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try:
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# Handle "2025-10-01" format
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if re.match(r'\d{4}-\d{2}-\d{2}$', date_str):
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parsed_date = datetime.strptime(date_str, '%Y-%m-%d')
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return parsed_date.strftime('%Y-%m-%d %H:%M:%S')
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except Exception:
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pass
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# If unable to parse, return original string
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return date_str
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class WebScrapingJinaTool:
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def __init__(self):
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self.api_key = os.environ.get("JINA_API_KEY")
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if not self.api_key:
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raise ValueError("Jina API key not provided! Please set JINA_API_KEY environment variable.")
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def __call__(self, query: str) -> List[Dict[str, Any]]:
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print(f"Searching for {query}")
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all_urls = self._jina_search(query)
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return_content = []
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print(f"Found {len(all_urls)} URLs")
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if len(all_urls)>1:
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# Randomly select three to form new all_urls
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all_urls = random.sample(all_urls, 1)
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for url in all_urls:
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print(f"Scraping {url}")
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return_content.append(self._jina_scrape(url))
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print(f"Scraped {url}")
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return return_content
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def _jina_scrape(self, url: str) -> Dict[str, Any]:
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try:
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jina_url = f'https://r.jina.ai/{url}'
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headers = {
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"Accept": "application/json",
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'Authorization': self.api_key,
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'X-Timeout': "10",
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"X-With-Generated-Alt": "true",
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}
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response = requests.get(jina_url, headers=headers)
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if response.status_code != 200:
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raise Exception(f"Jina AI Reader Failed for {url}: {response.status_code}")
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response_dict = response.json()
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return {
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'url': response_dict['data']['url'],
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'title': response_dict['data']['title'],
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'description': response_dict['data']['description'],
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'content': response_dict['data']['content'],
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'publish_time': response_dict['data'].get('publishedTime', 'unknown')
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}
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except Exception as e:
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logger.error(str(e))
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return {
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'url': url,
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'content': '',
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'error': str(e)
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}
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def _jina_search(self, query: str) -> List[str]:
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url = f'https://s.jina.ai/?q={query}&n=1'
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headers = {
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'Authorization': f'Bearer {self.api_key}',
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"Accept": "application/json",
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"X-Respond-With": "no-content"
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}
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try:
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response = requests.get(url, headers=headers)
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response.raise_for_status() # 检查HTTP状态码
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json_data = response.json()
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# Check if response data is valid
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if json_data is None:
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print(f"⚠️ Jina API returned empty data, query: {query}")
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return []
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if 'data' not in json_data:
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print(f"⚠️ Jina API response format abnormal, query: {query}, response: {json_data}")
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return []
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all_urls = []
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filtered_urls = []
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# Process search results, filter out content from TODAY_DATE and later
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for item in json_data.get('data', []):
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if 'url' not in item:
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continue
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# Get publication date and convert to standard format
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raw_date = item.get('date', 'unknown')
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standardized_date = parse_date_to_standard(raw_date)
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# If unable to parse date, keep this result
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if standardized_date == 'unknown' or standardized_date == raw_date:
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filtered_urls.append(item['url'])
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continue
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# Check if before TODAY_DATE
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today_date = get_config_value("TODAY_DATE")
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if today_date:
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if today_date > standardized_date:
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filtered_urls.append(item['url'])
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else:
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# If TODAY_DATE is not set, keep all results
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filtered_urls.append(item['url'])
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print(f"Found {len(filtered_urls)} URLs after filtering")
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return filtered_urls
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except requests.exceptions.RequestException as e:
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print(f"❌ Jina API request failed: {e}")
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return []
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except ValueError as e:
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print(f"❌ Jina API response parsing failed: {e}")
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return []
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except Exception as e:
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print(f"❌ Jina search unknown error: {e}")
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return []
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mcp = FastMCP("Search")
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@mcp.tool()
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def get_information(query: str) -> str:
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"""
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Use search tool to scrape and return main content information related to specified query in a structured way.
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Args:
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query: Key information or search terms you want to retrieve, will search for the most matching results on the internet.
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Returns:
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A string containing several retrieved web page contents, structured content includes:
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- URL: Original web page link
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- Title: Web page title
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- Description: Brief description of the web page
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- Publish Time: Content publication date (if available)
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- Content: Main text content of the web page (first 1000 characters)
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If scraping fails, returns corresponding error information.
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"""
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try:
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tool = WebScrapingJinaTool()
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results = tool(query)
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# Check if results are empty
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if not results:
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return f"⚠️ Search query '{query}' found no results. May be network issue or API limitation."
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# Convert results to string format
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formatted_results = []
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for result in results:
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if 'error' in result:
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formatted_results.append(f"Error: {result['error']}")
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else:
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formatted_results.append(f"""
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URL: {result['url']}
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Title: {result['title']}
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Description: {result['description']}
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Publish Time: {result['publish_time']}
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Content: {result['content'][:1000]}...
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""")
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if not formatted_results:
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return f"⚠️ Search query '{query}' returned empty results."
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return "\n".join(formatted_results)
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except Exception as e:
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return f"❌ Search tool execution failed: {str(e)}"
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if __name__ == "__main__":
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# Run with streamable-http, support configuring host and port through environment variables to avoid conflicts
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port = int(os.getenv("SEARCH_HTTP_PORT", "8001"))
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mcp.run(transport="streamable-http", port=port)
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