CoolBotDataSys/crawlers/yichens_spider.py

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"""一尘网爬虫 - 适配 pm001.net 连体纪念钞板块"""
import re
import httpx
import json
from typing import Optional, Dict, List, Any
from datetime import datetime, timedelta
from bs4 import BeautifulSoup
import logging
import sys
sys.path.insert(0, '/root/coolbot-data')
from crawlers.base import BaseSpider, PaginationSpider
from database import db
logger = logging.getLogger(__name__)
class YichensSpider(PaginationSpider):
"""一尘网/pm001.net 连体纪念钞板块爬虫"""
def __init__(self):
super().__init__("一尘网连体纪念钞", "pm001")
self.base_url = "http://www.pm001.net"
self.board_id = "151"
self.forum_url = f"{self.base_url}/index.asp?boardid={self.board_id}"
self.max_pages = 10
self.encoding = "gbk"
self.min_delay = 3.0
self.max_delay = 6.0
def get(self, url: str, **kwargs) -> Optional[Any]:
import requests
try:
self._random_delay()
headers = {
"User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36",
"Accept": "text/html,application/xhtml+xml",
"Accept-Language": "zh-CN,zh;q=0.9",
}
response = requests.get(url, timeout=30, headers=headers, **kwargs)
try:
response.encoding = "gbk"
except:
response.encoding = "gb2312"
return response
except Exception as e:
logger.error(f"请求失败: {e}")
return None
def parse_posts(self, html: str, url: str) -> List[Dict]:
"""解析帖子列表"""
posts = []
pattern = r'<a[^>]*href=["\']?[^"\']*boardID=151[^"\']*ID=(\d+)[^"\']*["\']?[^>]*>([^<]+)</a>'
matches = re.findall(pattern, html, re.I)
seen_ids = set()
for post_id, title in matches:
title = title.strip()
if len(title) < 5:
continue
invalid_titles = ['栏目交易规范', '', '精华', '_TOP', '', '查看', '']
if title in invalid_titles:
continue
if re.match(r'^\d{4}/\d+/\d+', title):
continue
if title.startswith('&nbsp'):
continue
if any(k in title for k in ['', '上一步', '下一步', '发表', '回复']):
continue
if post_id not in seen_ids:
seen_ids.add(post_id)
post_type = 'deal' if any(c in title for c in ['', '', '', '', '', '', '', '']) else 'normal'
post = {
'post_id': post_id,
'topic_id': post_id,
'title': title,
'content': None,
'content_html': None,
'author_id': f"user_{post_id}",
'author_username': '未知',
'category': '连体纪念钞',
'sub_category': None,
'post_type': post_type,
'price': self._extract_price(title),
'price_unit': self._extract_price_unit(title),
'view_count': 0,
'reply_count': 0,
'like_count': 0,
'is_top': False,
'is_essence': False,
'is_closed': False,
'created_at': None,
'updated_at': None,
}
posts.append(post)
return posts
def parse_post_detail(self, html: str, url: str) -> Optional[Dict]:
"""解析帖子详情页"""
soup = BeautifulSoup(html, "html.parser")
# 提取帖子ID
match = re.search(r"ID=(\d+)", url)
post_id = match.group(1) if match else None
# 从页面文本提取所有关键信息
page_text = soup.get_text()
# 提取标题 - 从<title>获取
title = None
title_elem = soup.find("title")
if title_elem:
title_text = title_elem.get_text(strip=True)
# 格式: "标题[投资资讯网交易在线]"
if "[" in title_text:
title = title_text.split("[")[0].strip()
# 提取作者
author = None
author_match = re.search(r">>>\s*([^\s<]+)\s*</a>.*?交易等级", page_text, re.DOTALL)
if author_match:
author = author_match.group(1).strip()
else:
# 尝试另一种模式
author_patterns = [
r"([\u4e00-\u9fa5]{2,10}钱币[\u4e00-\u9fa5]*)", # xxx钱币收藏
r"([\u4e00-\u9fa5]{2,6}收藏)", # xxx收藏
r">>>\s*([^\s<]+)", # >>>
]
for pattern in author_patterns:
m = re.search(pattern, page_text)
if m:
author = m.group(1).strip()
break
# 提取价格
price = None
price_unit = None
# 优先从标题/内容匹配价格
price_patterns = [
r'(\d+)\s*元\s*(?:一张|一张通货|一刀|一条|一张单张)',
r'([\d]+)\s*元\s*出?售',
r'出?售[^\d]*(\d+)\s*元?',
r'收[^\d]*(\d+)\s*元?',
r'(\d+)\s*-\s*(\d+)\s*元', # 范围价
]
for pattern in price_patterns:
m = re.search(pattern, page_text)
if m:
try:
price = float(m.group(1))
break
except:
pass
# 提取价格单位
if '' in page_text:
price_unit = '元/刀'
elif '' in page_text:
price_unit = '元/张'
elif '' in page_text:
price_unit = '元/条'
elif '' in page_text:
price_unit = '元/套'
else:
price_unit = ''
# 提取手机号
phones = re.findall(r'1[3-9]\d{9,10}', page_text)
contact = ','.join(dict.fromkeys(phones[:3])) # 去重最多3个
# 提取时间 - "2026/4/4 18:15:00"
created_at = None
time_match = re.search(r'(\d{4})/(\d{1,2})/(\d{1,2})\s+(\d{1,2}):(\d{2}):(\d{2})', page_text)
if time_match:
try:
dt = datetime(int(time_match.group(1)), int(time_match.group(2)),
int(time_match.group(3)), int(time_match.group(4)),
int(time_match.group(5)), int(time_match.group(6)))
created_at = dt.strftime("%Y-%m-%d %H:%M:%S")
except:
pass
# 提取内容(主要文本)
content = None
# 找"出售/收购"等关键词后的内容
content_patterns = [
r'(出售|收购|求购)[^\n]{10,500}',
r'(出|售|收)[^\n]{10,500}',
]
for pattern in content_patterns:
m = re.search(pattern, page_text)
if m:
content = m.group(0)[:500] # 限制长度
break
return {
'post_id': post_id,
'title': title,
'content': content,
'author_username': author,
'price': price,
'price_unit': price_unit,
'contact': contact if contact else None,
'created_at': created_at,
}
def _extract_price_with_llm(self, title: str) -> dict:
"""Use LLM to extract price from title"""
prompt = f"""从以下钱币收藏帖子标题中提取信息:
标题"{title}"
提取post_type(want求购/deal出售/), price(价格数字或null), unit(////元等)
回答JSON格式{{"post_type":"want/deal/","price":数字,"unit":"元/张等"}}"""
try:
r = httpx.post(
"https://coding.dashscope.aliyuncs.com/v1/chat/completions",
headers={
"Authorization": "Bearer sk-sp-d5ce68bb203e48ca857c2aea25255b26",
"Content-Type": "application/json"
},
json={
"model": "qwen3.5-plus",
"messages": [{"role": "user", "content": prompt}],
"temperature": 0.1
},
timeout=30.0
)
if r.status_code == 200:
result = r.json()
content_text = result['choices'][0]['message']['content'].strip()
if '{' in content_text:
json_str = content_text[content_text.find('{'):content_text.rfind('}')+1]
return json.loads(json_str)
except Exception as e:
print(f"LLM error: {e}")
return {}
def _extract_price(self, text: str) -> Optional[float]:
"""从标题提取价格"""
# 第一优先级:明确的价格单位(元、万)
patterns_with_unit = [
r'(\d+(?:\.\d+)?)\s*[万Ww]?\s*元', # 123元, 1.5万元
r'[每单共总]\s*(\d+(?:\.\d+)?)\s*元', # 共123元
r'(\d+(?:\.\d+)?)\s*元\s*(?:每|每张|每刀|每条|每套)', # 123元每张
]
for pattern in patterns_with_unit:
m = re.search(pattern, text)
if m:
try:
val = float(m.group(1))
if val > 0:
return val
except:
pass
# 第二优先级明确标价的价格X元
price_keyword = r'(?:价格|价|售价|收价|成交价)[:]\s*(\d+(?:\.\d+)?)'
m = re.search(price_keyword, text)
if m:
try:
val = float(m.group(1))
if val > 0:
return val
except:
pass
# 第三优先级:数字+万(万前面肯定是价格)
wan_pattern = r'(\d+(?:\.\d+)?)\s*万'
m = re.search(wan_pattern, text)
if m:
try:
val = float(m.group(1))
if val > 0:
return val
except:
pass
return None
def _extract_price_unit(self, text: str) -> Optional[str]:
"""从标题提取价格单位"""
if '' in text:
return '元/刀'
elif '' in text:
return '元/张'
elif '' in text:
return '元/条'
elif '' in text:
return '元/套'
elif '' in text:
return '元/万'
return ''
def batch_llm_price_update(self) -> int:
"""批量处理今日缺少价格的帖子,返回更新数量"""
from database import get_db
import httpx, json
# 找出今日爬取的价格为空的帖子
with get_db() as conn:
cur = conn.cursor()
cur.execute("""
SELECT id, title FROM yichens_posts
WHERE post_time::date = CURRENT_DATE
AND (price IS NULL OR price = 0)
AND title IS NOT NULL
LIMIT 50
""")
posts = cur.fetchall()
cur.close()
if not posts:
print(f"No posts needing LLM price extraction")
return 0
print(f"Found {len(posts)} posts needing LLM price extraction")
# 批量提取每批10条
batch_size = 10
updated = 0
for i in range(0, len(posts), batch_size):
batch = posts[i:i+batch_size]
# 构建批量prompt
titles_text = '\n'.join([f'{p[0]}|{p[1]}' for p in batch])
prompt = f"""分析以下钱币收藏帖子的标题,提取实际交易价格。
格式要求
- 如果有明确价格数字+////套等提取价格数字
- "求2组"不是价格是数量
- "765出一组"中765如果是价格则提取
- 如果无法判断实际交易价格填null
标题列表
{titles_text}
回答JSON数组格式只回答JSON不要其他内容
[{{"id":帖子ID,"price":数字或null,"unit":"元/张等"}},...]"""
try:
r = httpx.post(
"https://coding.dashscope.aliyuncs.com/v1/chat/completions",
headers={
"Authorization": "Bearer sk-sp-d5ce68bb203e48ca857c2aea25255b26",
"Content-Type": "application/json"
},
json={
"model": "qwen3.5-plus",
"messages": [{"role": "user", "content": prompt}],
"temperature": 0.1
},
timeout=120.0
)
if r.status_code == 200:
result = r.json()
content_text = result['choices'][0]['message']['content'].strip()
if '[' in content_text:
json_str = content_text[content_text.find('['):content_text.rfind(']')+1]
results = json.loads(json_str)
with get_db() as conn:
cur = conn.cursor()
for res in results:
if res.get('price') and res['price'] > 0:
cur.execute(
"UPDATE yichens_posts SET price = %s, price_unit = %s WHERE id = %s",
(float(res['price']), res.get('unit', ''), res['id'])
)
updated += 1
cur.close()
print(f"Batch {i//batch_size + 1}: updated {len(results)} posts")
except Exception as e:
print(f"Batch {i//batch_size + 1} error: {e}")
print(f"Total LLM price updates: {updated}")
return updated
def save_post(self, post: Dict) -> bool:
"""保存帖子到数据库"""
if not post or not post.get('post_id'):
return False
try:
with db.get_cursor() as cursor:
cursor.execute("""
INSERT INTO yichens_posts (
post_id, topic_id, title, content, content_html,
author_id, author_username, category, sub_category,
post_type, price, price_unit, view_count, reply_count,
like_count, is_top, is_essence, is_closed, created_at, updated_at
) VALUES (%s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s)
ON DUPLICATE KEY UPDATE
title = COALESCE(VALUES(title), title),
content = COALESCE(VALUES(content), content),
author_username = COALESCE(VALUES(author_username), author_username),
price = COALESCE(VALUES(price), price),
price_unit = COALESCE(VALUES(price_unit), price_unit),
created_at = COALESCE(VALUES(created_at), created_at),
updated_at = VALUES(updated_at),
crawled_at = NOW()
""", (
post.get('post_id'),
post.get('topic_id'),
post.get('title'),
post.get('content'),
post.get('content_html'),
post.get('author_id'),
post.get('author_username'),
post.get('category'),
post.get('sub_category'),
post.get('post_type', 'normal'),
post.get('price'),
post.get('price_unit'),
post.get('view_count', 0),
post.get('reply_count', 0),
post.get('like_count', 0),
post.get('is_top', False),
post.get('is_essence', False),
post.get('is_closed', False),
post.get('created_at'),
post.get('updated_at')
))
return True
except Exception as e:
logger.error(f"保存帖子失败: {e}")
return False
def crawl_detail(self, post_id: str) -> Optional[Dict]:
"""爬取单个帖子详情"""
url = f"http://www.pm001.net/dispbbs.asp?boardID={self.board_id}&ID={post_id}&page=1"
response = self.get(url)
if not response:
return None
return self.parse_post_detail(response.text, url)
def crawl_forum(self, max_pages: int = 5, crawl_detail: bool = False) -> List[Dict]:
"""爬取板块"""
logger.info(f"开始爬取连体纪念钞板块: {self.forum_url}")
self.max_pages = max_pages
all_posts = []
for page in range(1, self.max_pages + 1):
page_url = f"{self.forum_url}&page={page}"
logger.info(f"爬取第 {page} 页: {page_url}")
response = self.get(page_url)
if not response:
logger.warning(f"{page} 页请求失败")
continue
posts = self.parse_posts(response.text, response.url)
if not posts:
logger.info(f"{page} 页无数据,停止")
break
for post in posts:
if crawl_detail:
detail = self.crawl_detail(post['post_id'])
if detail:
post.update({
'title': detail.get('title') or post.get('title'),
'content': detail.get('content'),
'author_username': detail.get('author_username', '未知'),
'price': detail.get('price') or post.get('price'),
'price_unit': detail.get('price_unit') or post.get('price_unit'),
'created_at': detail.get('created_at'),
})
self.save_post(post)
all_posts.append(post)
logger.info(f"{page} 页获取 {len(posts)} 条帖子")
logger.info(f"连体纪念钞板块共采集 {len(all_posts)} 条帖子")
return all_posts
def run(self, max_pages: int = 5, crawl_detail: bool = False) -> List[Dict]:
"""执行爬虫"""
log_id = self._log_start()
try:
posts = self.crawl_forum(max_pages, crawl_detail)
print(f"Crawled {len(posts)} posts, running LLM price extraction...")
self.batch_llm_price_update()
self._log_finish(log_id, "success", len(posts))
return posts
except Exception as e:
logger.error(f"爬虫执行失败: {e}")
self._log_finish(log_id, "failed", 0, str(e))
return []
def _log_start(self) -> int:
with db.get_cursor() as cursor:
cursor.execute(
"INSERT INTO crawl_logs (source, status, started_at) VALUES (%s, %s, NOW())",
(self.source, "running")
)
return cursor.lastrowid
def _log_finish(self, log_id: int, status: str, items_count: int, error: str = ""):
with db.get_cursor() as cursor:
cursor.execute(
"UPDATE crawl_logs SET status = %s, items_count = %s, error_message = %s, finished_at = NOW() WHERE id = %s",
(status, items_count, error, log_id)
)
def crawl_yichens_lianti(max_pages: int = 5, crawl_detail: bool = False) -> List[Dict]:
"""采集连体纪念钞板块"""
spider = YichensSpider()
return spider.run(max_pages, crawl_detail)
if __name__ == "__main__":
import sys
max_pages = int(sys.argv[1]) if len(sys.argv) > 1 else 5
crawl_detail = '--detail' in sys.argv
crawl_yichens_lianti(max_pages, crawl_detail)