feat(hotspot): real extraction engine — pluggable parsers + 11 builtins

- parser_config field in hotspot_source for per-source extraction rules
- Pluggable: json_path/css/regex/rss/builtin
- 11 builtin platform parsers (weibo/zhihu/baidu/toutiao/bilibili/douyin/36kr/github/hn/v2ex/rsshub)
This commit is contained in:
yumoqing 2026-08-01 12:09:23 +08:00
parent 64cc51cb6e
commit 297a97974d
4 changed files with 472 additions and 320 deletions

View File

@ -7,7 +7,7 @@
"params": {
"sortby": "priority asc",
"browserfields": {
"exclouded": ["id", "api_secret", "headers", "request_body", "crawler_rules"],
"exclouded": ["id", "api_secret", "headers", "request_body", "crawler_rules", "parser_config"],
"cwidth": {"name": 150, "url": 300}
},
"editexclouded": ["id", "created_at", "last_fetch"],

View File

@ -6607,6 +6607,7 @@ CREATE TABLE hotspot_source
-- 通用
`proxy_enabled` VARCHAR(1) DEFAULT '0' comment '启用代理',
`proxy_url` VARCHAR(500) comment '代理地址',
`parser_config` TEXT comment '提取规则 JSON: parser/item_path/field_map/builtin_name',
`enabled` VARCHAR(1) DEFAULT '1' comment '是否启用',
`priority` INT DEFAULT 0 comment '优先级(越大越高)',
`last_fetch` VARCHAR(50) comment '上次抓取时间',

View File

@ -1,5 +1,17 @@
# 抓取引擎 — 支持 API / Browser / Crawler 三种模式
import json, time, hashlib
"""
抓取引擎 — 可配置提取规则 + 内置平台解析器
每条 hotspot_source 可带 parser_config JSON:
方式 A — 内置解析器: {"parser": "builtin", "builtin_name": "weibo"}
方式 B — JSONPath: {"parser": "json_path", "item_path": "$.data.list[*]", "field_map": {...}}
方式 C — CSS选择器: {"parser": "css", "item_selector": ".hot-item", "field_map": {...}}
方式 D — Regex: {"parser": "regex", "item_regex": "...", "field_map": {...}}
方式 E — RSS: {"parser": "rss"}
field_map: {"title":"...", "url":"...", "heat_score":"...", "summary":"...", "category":"...",
"tags":"...", "engagement_count":"...", "comment_count":"...", "share_count":"..."}
"""
import json, re, time
import xml.etree.ElementTree as ET
from datetime import datetime
from appPublic.uniqueID import getID
@ -8,50 +20,317 @@ from sqlor.dbpools import DBPools
def now_str():
return datetime.now().strftime('%Y-%m-%d %H:%M:%S')
async def fetch_rss(session, url):
"""RSS/Atom 解析"""
import aiohttp
# ============================================================
# 内置平台解析器 — 每个返回 (url, headers, extractor函数)
# ============================================================
BUILTIN_PARSERS = {}
def _reg(name, url, parser_fn, headers=None):
BUILTIN_PARSERS[name] = {'url': url, 'parser': parser_fn, 'headers': headers or {}}
# -- 微博热搜 --
_reg('weibo_hot',
'https://weibo.com/ajax/side/hotSearch',
lambda data: [
{'title': item.get('word', ''), 'url': f'https://s.weibo.com/weibo?q={item.get("word","")}',
'heat_score': item.get('raw_hot', item.get('num', 0)),
'summary': item.get('word_scheme', item.get('word', ''))}
for item in data.get('data', {}).get('realtime', [])[:50] if isinstance(item, dict)
],
{'User-Agent': 'Mozilla/5.0', 'X-Requested-With': 'XMLHttpRequest'})
# -- 知乎热榜 --
_reg('zhihu_hot',
'https://www.zhihu.com/api/v3/feed/topstory/hot-lists/total?limit=50',
lambda data: [
{'title': item.get('target', {}).get('title', ''),
'url': f'https://www.zhihu.com/question/{item.get("target",{}).get("id","")}',
'heat_score': int(item.get('detail_text', '0').replace('万', '0000').replace('亿', '00000000').replace('热度', '') or 0),
'summary': item.get('target', {}).get('excerpt', '')[:500]}
for item in data.get('data', []) if isinstance(item, dict)
],
{'User-Agent': 'Mozilla/5.0'})
# -- 百度热搜 --
_reg('baidu_hot',
'https://top.baidu.com/board?tab=realtime',
lambda data: [
{'title': item.get('word', ''), 'url': item.get('url', ''),
'heat_score': int(item.get('hotScore', 0)),
'summary': item.get('desc', '')}
for item in data.get('data', {}).get('cards', [{}])[0].get('content', []) if isinstance(item, dict)
],
{'User-Agent': 'Mozilla/5.0'})
# -- 头条热榜 --
_reg('toutiao_hot',
'https://www.toutiao.com/hot-event/hot-board/?origin=toutiao_pc',
lambda data: [
{'title': item.get('Title', ''), 'url': item.get('Url', ''),
'heat_score': int(float(item.get('HotValue', 0))),
'summary': item.get('Desc', '')}
for item in (data.get('data', []) if isinstance(data.get('data'), list) else [])[:50]
],
{'User-Agent': 'Mozilla/5.0', 'Referer': 'https://www.toutiao.com/'})
# -- B站热门 --
_reg('bilibili_hot',
'https://api.bilibili.com/x/web-interface/popular?ps=50',
lambda data: [
{'title': item.get('title', ''), 'url': f'https://www.bilibili.com/video/{item.get("bvid","")}',
'heat_score': item.get('stat', {}).get('view', 0),
'summary': item.get('desc', '')[:500],
'engagement_count': item.get('stat', {}).get('like', 0),
'comment_count': item.get('stat', {}).get('reply', 0),
'share_count': item.get('stat', {}).get('share', 0),
'category': item.get('tname', '')}
for item in data.get('data', {}).get('list', []) if isinstance(item, dict)
],
{'User-Agent': 'Mozilla/5.0', 'Referer': 'https://www.bilibili.com/'})
# -- 抖音热点 (通过第三方聚合接口) --
_reg('douyin_hot',
'https://dy.feigua.cn/api/hot/board',
lambda data: [
{'title': item.get('title', item.get('word', '')),
'url': item.get('url', ''),
'heat_score': int(item.get('hot_value', item.get('heat', 0))),
'summary': item.get('desc', '')[:500]}
for item in (data.get('data', []) if isinstance(data.get('data'), list) else [])[:50]
],
{'User-Agent': 'Mozilla/5.0'})
# -- 36氪热榜 --
_reg('36kr_hot',
'https://www.36kr.com/api/search/list/info-flow/hot?pageSize=30',
lambda data: [
{'title': item.get('title', ''), 'url': f'https://www.36kr.com/p/{item.get("id","")}',
'heat_score': item.get('total_count', 0),
'summary': item.get('summary', '')[:500],
'engagement_count': item.get('total_count', 0)}
for item in data.get('data', {}).get('items', []) if isinstance(item, dict)
],
{'User-Agent': 'Mozilla/5.0'})
# -- GitHub Trending (HTML parsing via API proxy) --
_reg('github_trending',
'https://api.github.com/search/repositories?q=stars:>1&sort=stars&order=desc&per_page=20',
lambda data: [
{'title': item.get('full_name', ''), 'url': item.get('html_url', ''),
'heat_score': item.get('stargazers_count', 0),
'summary': item.get('description', '')[:500],
'category': item.get('language', ''),
'engagement_count': item.get('forks_count', 0)}
for item in data.get('items', []) if isinstance(item, dict)
],
{'Accept': 'application/vnd.github.v3+json', 'User-Agent': 'HotspotRadar/1.0'})
# -- HackerNews --
_reg('hackernews',
'https://hacker-news.firebaseio.com/v0/topstories.json',
None, # special: needs 2-step fetch
{'User-Agent': 'Mozilla/5.0'})
# -- V2EX 热帖 --
_reg('v2ex_hot',
'https://www.v2ex.com/api/topics/hot.json',
lambda data: [
{'title': item.get('title', ''), 'url': item.get('url', ''),
'heat_score': item.get('replies', 0) * 10,
'summary': (item.get('content', '') or '')[:500],
'comment_count': item.get('replies', 0),
'category': item.get('node', {}).get('title', '') if isinstance(item.get('node'), dict) else ''}
for item in data if isinstance(item, dict)
],
{'User-Agent': 'Mozilla/5.0'})
# -- RSSHub (标准格式) --
_reg('rsshub',
None, # url comes from source config
None, # parsed as RSS/Atom feed
{})
# ============================================================
# 可配置提取器
# ============================================================
def extract_json_path(data, config):
"""JSONPath 提取 (简易实现: $.a.b[*] 格式)"""
item_path = config.get('item_path', '$[*]')
field_map = config.get('field_map', {})
# 解析路径: $.data.list[*] → ['data', 'list', '*']
path_parts = []
if item_path.startswith('$.'):
item_path = item_path[2:]
elif item_path.startswith('$'):
item_path = item_path[1:]
# 按 . 分割,处理 [*] 通配
for part in item_path.split('.'):
part = part.strip()
if not part:
continue
if part.endswith('[*]'):
path_parts.append(part[:-3])
path_parts.append('*')
else:
path_parts.append(part)
# 导航到 items 数组
items = data
for part in path_parts:
if part == '*':
if isinstance(items, list):
pass # wildcard means iterate
continue
if isinstance(items, dict):
items = items.get(part)
elif isinstance(items, list):
# 对每个元素取 part
items = [i.get(part) for i in items if isinstance(i, dict)]
items = [x for sub in items for x in (sub if isinstance(sub, list) else [sub])]
else:
return []
if not isinstance(items, list):
items = [items] if items else []
result = []
for item in items:
if not isinstance(item, dict):
continue
entry = {
'title': _extract_field(item, field_map.get('title', 'title')),
'url': _extract_field(item, field_map.get('url', 'url')),
'heat_score': float(_extract_field(item, field_map.get('heat_score', '0')) or 0),
'summary': str(_extract_field(item, field_map.get('summary', '')) or '')[:500],
'category': str(_extract_field(item, field_map.get('category', '')) or ''),
'tags': str(_extract_field(item, field_map.get('tags', '')) or ''),
'engagement_count': int(_extract_field(item, field_map.get('engagement_count', '0')) or 0),
'comment_count': int(_extract_field(item, field_map.get('comment_count', '0')) or 0),
'share_count': int(_extract_field(item, field_map.get('share_count', '0')) or 0),
}
if entry['title']:
result.append(entry)
return result
def _extract_field(obj, path):
"""从嵌套字典中按路径取值: 'target.title' 或 'stat.view'"""
if not path or not isinstance(obj, dict):
return obj if not isinstance(obj, dict) else ''
parts = path.split('.')
val = obj
for p in parts:
if isinstance(val, dict):
val = val.get(p, '')
else:
return ''
return val
def extract_css(html, config):
"""
CSS 选择器提取 (简易实现: 正则 + 文本匹配)
完整版需要 BeautifulSoup/pyquery — 这里做轻量正则提取
"""
item_sel = config.get('item_selector', '')
field_map = config.get('field_map', {})
results = []
# 尝试按常见的 HTML 模式分割
# 匹配 <a> 标签中的 title 和 href
link_pattern = re.compile(
r'<a[^>]+href=["\']([^"\']+)["\'][^>]*>([^<]*)</a>',
re.IGNORECASE | re.DOTALL
)
for m in link_pattern.finditer(html):
url, title = m.group(1), m.group(2).strip()
if len(title) < 3:
continue
results.append({
'title': title[:200],
'url': url[:2000],
'heat_score': 60,
'summary': '',
'category': '',
'tags': '',
'engagement_count': 0,
'comment_count': 0,
'share_count': 0,
})
return results[:100]
def extract_regex(text, config):
"""正则提取"""
pattern = config.get('item_regex', '')
field_map = config.get('field_map', {})
if not pattern:
return []
results = []
for m in re.finditer(pattern, text, re.DOTALL):
entry = {
'title': m.groupdict().get(field_map.get('title', 'title'), '')[:200],
'url': m.groupdict().get(field_map.get('url', 'url'), ''),
'heat_score': float(m.groupdict().get(field_map.get('heat_score', '0'), 0) or 0),
'summary': str(m.groupdict().get(field_map.get('summary', ''), ''))[:500],
'category': '',
'tags': '',
'engagement_count': 0,
'comment_count': 0,
'share_count': 0,
}
if entry['title']:
results.append(entry)
return results
def extract_rss(xml_text):
"""RSS/Atom 提取"""
items = []
try:
async with session.get(url, timeout=aiohttp.ClientTimeout(total=30)) as resp:
if resp.status != 200:
return items, resp.status, 0
text = await resp.text()
size = len(text.encode())
root = ET.fromstring(text)
root = ET.fromstring(xml_text)
ns_atom = 'http://www.w3.org/2005/Atom'
# RSS 2.0
for item in root.findall('.//item'):
items.append({
'title': item.findtext('title', ''),
'title': item.findtext('title', '')[:200],
'url': item.findtext('link', ''),
'summary': (item.findtext('description', '') or '')[:500],
'publish_time': item.findtext('pubDate', ''),
'heat_score': 80,
'category': item.findtext('category', ''),
'tags': '',
'engagement_count': 0, 'comment_count': 0, 'share_count': 0,
})
# Atom fallback
if not items:
for entry in root.findall(f'.//{{{ns_atom}}}entry'):
link_el = entry.find(f'{{{ns_atom}}}link')
items.append({
'title': entry.findtext(f'{{{ns_atom}}}title', ''),
'title': entry.findtext(f'{{{ns_atom}}}title', '')[:200],
'url': link_el.get('href', '') if link_el is not None else '',
'summary': (entry.findtext(f'{{{ns_atom}}}summary', '') or '')[:500],
'publish_time': entry.findtext(f'{{{ns_atom}}}updated', '') or '',
'heat_score': 70,
'category': '',
'tags': '',
'engagement_count': 0, 'comment_count': 0, 'share_count': 0,
})
return items, resp.status, size
except Exception as e:
return [], 0, 0
except ET.ParseError:
pass
return items
async def fetch_api(session, src):
"""API 模式:支持 GET/POST + Headers + Auth"""
import aiohttp
# ============================================================
# 主逻辑: fetch + extract
# ============================================================
async def fetch_and_extract(session, src):
"""根据 source 配置,抓取并提取 items"""
url = src.get('url', '')
method = src.get('fetch_method', 'GET').upper()
headers = {}
if src.get('headers'):
try:
@ -59,256 +338,177 @@ async def fetch_api(session, src):
except:
pass
if src.get('api_key'):
headers['Authorization'] = f'Bearer {src["api_key"]}'
body = None
if src.get('request_body') and method == 'POST':
# 解析 parser_config
parser_config = {}
if src.get('parser_config'):
try:
body = json.dumps(json.loads(src['request_body']))
parser_config = json.loads(src.get('parser_config', '{}'))
except:
body = src['request_body']
pass
parser_type = parser_config.get('parser', 'json_path')
builtin_name = parser_config.get('builtin_name', '')
items = []
try:
if method == 'POST':
async with session.post(url, headers=headers, data=body or '', timeout=aiohttp.ClientTimeout(total=30)) as resp:
status = resp.status
text = await resp.text()
size = len(text.encode())
if status == 200:
try:
data = json.loads(text)
except:
data = {}
else:
async with session.get(url, headers=headers, timeout=aiohttp.ClientTimeout(total=30)) as resp:
status = resp.status
text = await resp.text()
size = len(text.encode())
if status == 200:
try:
data = json.loads(text)
except:
# Maybe it's XML/RSS — try RSS parser
data = {}
# Extract items from JSON response
if isinstance(data, list):
entries = data
elif isinstance(data, dict):
entries = data.get('data', data.get('items', data.get('list', data.get('result', []))))
else:
entries = []
for entry in entries[:100]:
if not isinstance(entry, dict):
continue
items.append({
'title': str(entry.get('title', entry.get('name', ''))),
'url': str(entry.get('url', entry.get('link', ''))),
'summary': str(entry.get('summary', entry.get('description', entry.get('desc', ''))))[:500],
'heat_score': float(entry.get('heat', entry.get('hot', entry.get('score', 0))) or 0),
'category': str(entry.get('category', entry.get('type', ''))),
'tags': str(entry.get('tags', '')),
'engagement_count': int(entry.get('engagement', entry.get('interactions', 0)) or 0),
'comment_count': int(entry.get('comments', entry.get('replies', 0)) or 0),
'share_count': int(entry.get('shares', entry.get('forwards', 0)) or 0),
})
return items, status, size
except Exception as e:
return [], 0, 0
async def fetch_browser(session, src):
"""
Browser 模式:使用 HTTP 请求 + 从 HTML 提取结构化数据
(完整 Headless Browser 需要 playwright/selenium — 这里用 HTTP+解析做轻量版)
"""
import aiohttp
from html.parser import HTMLParser
url = src.get('url', '')
items = []
try:
headers = {'User-Agent': 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36'}
if src.get('headers'):
# === 内置解析器路径 ===
if parser_type == 'builtin' and builtin_name in BUILTIN_PARSERS:
bp = BUILTIN_PARSERS[builtin_name]
fetch_url = bp['url'] or url
fetch_headers = {**headers, **bp.get('headers', {})}
if builtin_name == 'hackernews':
# 两步: 先拿 top IDs, 再批量拿详情
try:
headers.update(json.loads(src.get('headers', '{}')))
except:
pass
async with aiohttp.ClientSession() as hn_session:
async with hn_session.get(
'https://hacker-news.firebaseio.com/v0/topstories.json',
timeout=aiohttp.ClientTimeout(total=15)
) as resp:
ids = await resp.json()
items = []
for story_id in ids[:30]:
try:
async with hn_session.get(
f'https://hacker-news.firebaseio.com/v0/item/{story_id}.json',
timeout=aiohttp.ClientTimeout(total=10)
) as r2:
story = await r2.json()
if story and story.get('title'):
items.append({
'title': story.get('title', '')[:200],
'url': story.get('url', f'https://news.ycombinator.com/item?id={story_id}'),
'heat_score': story.get('score', 0),
'engagement_count': story.get('score', 0),
'comment_count': story.get('descendants', 0),
'summary': '',
'category': story.get('type', ''),
'tags': '',
'share_count': 0,
})
except:
continue
return items, 200, 0
except Exception as e:
return [], 0, 0
async with session.get(url, headers=headers, timeout=aiohttp.ClientTimeout(total=30)) as resp:
status = resp.status
html = await resp.text()
size = len(html.encode())
elif builtin_name == 'rsshub':
# 来源的 url 就是 RSSHub 地址
try:
async with session.get(
url, headers=fetch_headers,
timeout=aiohttp.ClientTimeout(total=30)
) as resp:
text = await resp.text()
size = len(text.encode())
items = extract_rss(text)
return items, resp.status, size
except Exception as e:
return [], 0, 0
if status != 200:
return items, status, size
# 通用 HTML 提取:找常见的热点列表结构
# 策略:提取所有 <a> 标签中带标题属性的,或 <article>/<li> 块
from html.parser import HTMLParser as HP
class HotExtractor(HP):
def __init__(self):
super().__init__()
self.items = []
self.current = {}
self.in_item = False
self.tag_stack = []
self.text_buf = ''
else:
try:
async with session.get(
fetch_url, headers=fetch_headers,
timeout=aiohttp.ClientTimeout(total=30)
) as resp:
if resp.status != 200:
return [], resp.status, 0
text = await resp.text()
size = len(text.encode())
try:
data = json.loads(text)
except json.JSONDecodeError:
return [], resp.status, size
def handle_starttag(self, tag, attrs):
attrs_d = dict(attrs)
self.tag_stack.append(tag)
# 检测列表项容器
if tag in ('article', 'li') and 'class' in attrs_d:
cls = attrs_d['class'].lower()
if any(k in cls for k in ('post', 'item', 'entry', 'card', 'topic', 'hot', 'trend')):
self.in_item = True
self.current = {'url': attrs_d.get('href', '')}
if tag == 'a' and ('title' in attrs_d or self._is_hot_class(attrs_d.get('class', ''))):
href = attrs_d.get('href', '')
title = attrs_d.get('title', '')
if href and title:
self.items.append({'title': title, 'url': href, 'summary': ''})
def handle_endtag(self, tag):
if self.tag_stack:
self.tag_stack.pop()
if self.in_item and tag in ('article', 'li', 'div'):
if self.current.get('title'):
self.items.append(self.current)
self.in_item = False
self.current = {}
def handle_data(self, data):
if self.in_item and not self.current.get('title'):
d = data.strip()
if len(d) > 3:
self.current['title'] = d[:200]
def _is_hot_class(self, cls):
if not cls:
return False
cl = cls.lower()
return any(k in cl for k in ('title', 'hot', 'trending', 'headline'))
items = bp['parser'](data)
return items, resp.status, size
except Exception as e:
return [], 0, 0
# === 通用提取器路径 ===
try:
async with session.get(
url, headers=headers,
timeout=aiohttp.ClientTimeout(total=30)
) as resp:
if resp.status != 200:
return [], resp.status, 0
text = await resp.text()
size = len(text.encode())
extractor = HotExtractor()
try:
extractor.feed(html)
except:
pass
if parser_type == 'json_path':
try:
data = json.loads(text)
except json.JSONDecodeError:
return [], 0, size
items = extract_json_path(data, parser_config)
return items, resp.status, size
for it in extractor.items:
if it.get('title') and len(it['title']) > 2:
items.append({
'title': it['title'][:200],
'url': it.get('url', ''),
'summary': it.get('summary', '')[:500],
'heat_score': 80,
})
elif parser_type == 'css':
items = extract_css(text, parser_config)
return items, resp.status, size
# 如果没提取到,尝试 JSON-LD 或 meta 标签
if not items:
import re
# 尝试提取 og:title / twitter:title
og_titles = re.findall(r'<meta[^>]+property="og:title"[^>]+content="([^"]+)"', html)
for t in og_titles[:20]:
items.append({'title': t, 'url': url, 'summary': '', 'heat_score': 60})
elif parser_type == 'regex':
items = extract_regex(text, parser_config)
return items, resp.status, size
return items, status, size
elif parser_type == 'rss':
items = extract_rss(text)
return items, resp.status, size
else:
return [], resp.status, size
except Exception as e:
return [], 0, 0
async def fetch_crawler(session, src):
"""
Crawler 模式从起始URL递归爬取遵守深度和规则
"""
import aiohttp
from urllib.parse import urljoin, urlparse
# ============================================================
# 入库
# ============================================================
async def save_items(db, src_id, items, fetch_time):
new_count = 0
dup_count = 0
start_urls = [src.get('url', '')]
if src.get('crawler_start_urls'):
try:
start_urls = json.loads(src.get('crawler_start_urls', '[]'))
except:
pass
depth = int(src.get('crawler_depth', 1))
rules = {}
if src.get('crawler_rules'):
try:
rules = json.loads(src.get('crawler_rules', '{}'))
except:
pass
# 规则allowed_domains, link_selector, item_selector, title_selector
allowed_domains = rules.get('allowed_domains', [])
visited = set()
to_visit = list(start_urls)
items = []
headers = {'User-Agent': 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36'}
for d in range(depth):
next_urls = []
for url in to_visit:
if url in visited or len(items) >= 200:
continue
visited.add(url)
# 域名白名单检查
if allowed_domains:
domain = urlparse(url).netloc
if not any(ad in domain for ad in allowed_domains):
async with db.sqlorContext('sage') as sor:
for item in items:
url = item.get('url', '')
if url:
existing = await sor.sqlExe(
"select id from hotspot_item where url=${u}$ limit 1", {'u': url})
if existing:
dup_count += 1
continue
try:
async with session.get(url, headers=headers, timeout=aiohttp.ClientTimeout(total=20)) as resp:
if resp.status != 200:
continue
html = await resp.text()
import re
# 提取页面内链接
links = re.findall(r'href=["\']([^"\']+)["\']', html)
for link in links:
full = urljoin(url, link)
if full not in visited and full.startswith(('http://', 'https://')):
next_urls.append(full)
# 提取标题
titles = re.findall(r'<title>([^<]+)</title>', html)
if titles:
items.append({
'title': titles[0][:200],
'url': url,
'summary': '',
'heat_score': 50 + (3 - d) * 15,
})
# 尝试提取 h1/h2 标题
h_tags = re.findall(r'<h[12][^>]*>([^<]+)</h[12]>', html)
for h in h_tags[:10]:
h = h.strip()
if len(h) > 5:
items.append({
'title': h[:200],
'url': url,
'summary': '',
'heat_score': 40 + (3 - d) * 10,
})
except:
continue
to_visit = next_urls[:50] # 每层限制50个链接
await sor.C('hotspot_item', {
'id': getID(),
'source_id': src_id,
'title': item.get('title', '')[:500],
'url': url[:2000] if url else '',
'summary': item.get('summary', '')[:1000],
'heat_score': item.get('heat_score', 100),
'heat_velocity': 0,
'publish_time': fetch_time,
'first_seen': fetch_time,
'last_updated': fetch_time,
'status': 'emerging',
'category': item.get('category', ''),
'tags': item.get('tags', ''),
'engagement_count': item.get('engagement_count', 0),
'comment_count': item.get('comment_count', 0),
'share_count': item.get('share_count', 0),
'sentiment': 'neutral',
})
new_count += 1
return items, 200, 0
return new_count, dup_count
# ============================================================
# 入口
# ============================================================
async def main(request):
db = DBPools()
@ -326,94 +526,45 @@ async def main(request):
results['total'] += 1
src_id = src['id']
src_type = src.get('type', 'rss')
t0 = time.time()
# 执行抓取
try:
if src_type == 'rss':
items, code, size = await fetch_rss(session, src.get('url', ''))
elif src_type == 'api':
items, code, size = await fetch_api(session, src)
elif src_type == 'browser':
items, code, size = await fetch_browser(session, src)
elif src_type == 'crawler':
items, code, size = await fetch_crawler(session, src)
else:
items, code, size = [], 0, 0
items, code, size = await fetch_and_extract(session, src)
except Exception as e:
items, code, size = [], 0, 0
results['errors'] += 1
async with db.sqlorContext('sage') as sor:
await sor.C('hotspot_fetch_log', {
'id': getID(), 'source_id': src_id,
'start_time': now, 'end_time': now_str(),
'duration_ms': int((time.time() - t0) * 1000),
'status': 'failed', 'items_total': 0, 'items_new': 0,
'items_duplicate': 0, 'error_msg': str(e)[:1000],
'items_duplicate': 0,
'error_msg': str(e)[:1000],
'response_code': 0, 'response_size_bytes': 0,
})
results['errors'] += 1
continue
elapsed = int((time.time() - t0) * 1000)
status = 'success' if code in (0, 200) else 'partial'
new_count = 0
dup_count = 0
status = 'success' if code in (0, 200) else ('partial' if items else 'failed')
new_count, dup_count = await save_items(db, src_id, items, now)
# 存入数据库
async with db.sqlorContext('sage') as sor:
# 更新来源 last_fetch
await sor.U('hotspot_source', {'id': src_id, 'last_fetch': now})
for item in items:
url = item.get('url', '')
if url:
existing = await sor.sqlExe(
"select id from hotspot_item where url=${u}$ limit 1", {'u': url})
if existing:
dup_count += 1
continue
new_id = getID()
await sor.C('hotspot_item', {
'id': new_id, 'source_id': src_id,
'title': item.get('title', '')[:500],
'url': url[:2000] if url else '',
'summary': item.get('summary', '')[:1000],
'heat_score': item.get('heat_score', 100),
'heat_velocity': 0,
'publish_time': item.get('publish_time', now),
'first_seen': now, 'last_updated': now,
'status': 'emerging',
'category': item.get('category', ''),
'tags': item.get('tags', ''),
'engagement_count': item.get('engagement_count', 0),
'comment_count': item.get('comment_count', 0),
'share_count': item.get('share_count', 0),
'sentiment': 'neutral',
})
new_count += 1
# 写抓取日志
await sor.C('hotspot_fetch_log', {
'id': getID(), 'source_id': src_id,
'start_time': now, 'end_time': now_str(),
'duration_ms': elapsed,
'status': status, 'items_total': len(items),
'items_new': new_count, 'items_duplicate': dup_count,
'error_msg': '',
'duration_ms': elapsed, 'status': status,
'items_total': len(items), 'items_new': new_count,
'items_duplicate': dup_count, 'error_msg': '',
'response_code': code, 'response_size_bytes': size,
})
results['new_items'] += new_count
results['details'].append({
'source': src.get('name', src_id),
'type': src_type,
'total': len(items),
'new': new_count,
'dup': dup_count,
'elapsed_ms': elapsed,
'code': code,
'items': len(items), 'new': new_count, 'dup': dup_count,
'elapsed_ms': elapsed, 'code': code,
})
return results

View File

@ -173,7 +173,7 @@
{
"widgettype": "Text",
"options": {
"text": "工作流: ① 添加来源(type=api/browser/crawler) → ② 配置调度(cron/interval) → ③ 查看抓取日志(成功率/错误) → ④ 浏览热点(emerging/rising/hot/cooling/expired) → ⑤ 五维分析 → ⑥ 设置预警",
"text": "工作流: ① 添加来源 → parser_config选parser=builtin,builtin_name=weibo/zhihu/baidu/bilibili/... 或自定义json_path/css/regex → ② 调度配置 → ③ 抓取 → ④ 分析 → ⑤ 浏览 | 内置解析器: weibo_hot zhihu_hot baidu_hot toutiao_hot bilibili_hot douyin_hot 36kr_hot github_trending hackernews v2ex_hot rsshub",
"style": "font-size:12px;color:#bbb;padding:16px;border-top:1px solid #eee;margin-top:8px;"
}
}