- archive/hermes-dead-tools-20260820/: hermes独有不在cron不被import的111个一次性排查/测试工具 - archive/hermes-dead-tools-20260820/: 4个废弃scanner(btd1_v3/market_scanner/market_thermometer已废弃/s2v2) - archive/legacy-cleanup-20260820/: MoFin根2旧版(mo_models/technical_analysis)+/home/hmo/scripts无引用旧项目+MoFin/scripts重复prepare_report_data - 删除MoFin根mo_models.py(根旧版,deploy/profile-scripts权威保留) - 保留: mofin_db.py/mo_data.py硬链接(server.py多层sys.path需各目录访问同一inode,非冗余) - fix_gateway.py保留(Gateway看门狗fix_gateway_port.py的活跃依赖,勿误删) - 验证: cron所有脚本引用无缺失, key模块import正常 - hermes独有从116收敛到5核心(alert_logger/market_screener/prepare_report_data/self_todo_executor_v2/xmpp_zhiwei_bot)
223 lines
8.6 KiB
Python
223 lines
8.6 KiB
Python
#!/usr/bin/env python3
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"""market_scanner.py — 全市场异动扫描(替代小果扫描线)
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每15分钟扫描:
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1. 板块轮动检测(从已采集的 sector_snapshots 读)
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2. 热门板块领涨股扫描(从腾讯API批量拉)
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3. 资金流向异常检测(从已有 capital_flow_cache 读)
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4. 输出候选股到 candidates 表
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不依赖小果LLM,纯数据驱动。
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"""
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import sys, json, sqlite3, urllib.request, re, time
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from pathlib import Path
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from datetime import datetime
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# XMPP 日志 hook
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try:
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sys.path.insert(0, str(Path(__file__).resolve().parent.parent))
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from xmpp_logger import log_xmpp
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except ImportError:
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def log_xmpp(*a, **kw): pass
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DB_PATH = Path("/home/hmo/MoFin/data/mofin.db")
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CANDIDATES_FILE = Path("/home/hmo/web-dashboard/data/candidate_pool.json")
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UA = "Mozilla/5.0"
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def get_conn():
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return sqlite3.connect(str(DB_PATH))
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def fetch_qq_batch(symbols):
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"""腾讯批量行情"""
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if not symbols:
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return {}
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url = f"http://qt.gtimg.cn/q={','.join(symbols)}"
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try:
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req = urllib.request.Request(url, headers={"User-Agent": UA})
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proxy = urllib.request.ProxyHandler({})
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opener = urllib.request.build_opener(proxy)
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with opener.open(req, timeout=15) as r:
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text = r.read().decode("gbk")
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results = {}
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for line in text.strip().split("\n"):
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if "~" not in line:
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continue
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parts = line.split("~")
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if len(parts) < 40:
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continue
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m = re.search(r'_(\w+)=', parts[0])
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market = m.group(1) if m else ""
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code = parts[2]
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name = parts[1]
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price = float(parts[3]) if parts[3] else 0
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chg_pct = float(parts[32]) if parts[32] else 0
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high = float(parts[33]) if parts[33] else 0
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low = float(parts[34]) if parts[34] else 0
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volume = int(parts[6]) if parts[6] else 0
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amount = float(parts[37]) if len(parts) > 37 and parts[37] else 0
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if price > 0:
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results[code] = {"code": code, "name": name, "price": price,
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"change_pct": chg_pct, "high": high, "low": low,
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"volume": volume, "amount": amount,
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"market": "SH" if market == "sh" else "SZ" if market == "sz" else "HK"}
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return results
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except Exception as e:
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print(f"[SCANNER] 腾讯API错误: {e}", file=sys.stderr)
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return {}
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def scan_hot_sectors():
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"""从DB读热门板块,返回板块名+领涨股"""
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conn = get_conn()
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latest = conn.execute("SELECT MAX(id) FROM market_snapshots").fetchone()[0]
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if not latest:
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conn.close()
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return []
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sectors = conn.execute("""
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SELECT name, change_pct, lead_stock, lead_stock_code, up_count, down_count
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FROM sector_snapshots WHERE snapshot_id=?
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ORDER BY change_pct DESC LIMIT 15
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""", (latest,)).fetchall()
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conn.close()
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return [{"name": s[0], "change": s[1], "lead_stock": s[2],
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"lead_code": s[3], "up": s[4], "down": s[5]} for s in sectors if s[1] > 2.0]
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def scan_candidates():
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"""主扫描流程"""
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print(f"[SCANNER] {datetime.now().strftime('%H:%M')} 开始扫描", flush=True)
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# 1. 热门板块领涨股
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hot = scan_hot_sectors()
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print(f" 热门板块(涨幅>2%): {len(hot)}个", flush=True)
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candidates = {}
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# 从热门板块拉领涨股
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lead_codes = []
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for s in hot:
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if s.get("lead_code"):
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lc = str(s["lead_code"]).strip()
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if lc and lc not in candidates:
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lead_codes.append(lc)
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candidates[lc] = {"source": f"板块:{s['name']}(+{s['change']:.1f}%)", "sector": s["name"]}
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print(f" 领涨股待查: {len(lead_codes)}只", flush=True)
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# 2. 腾讯API批量查行情
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symbols = []
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for c in lead_codes:
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if len(c) == 6:
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if c.startswith(("5", "6", "9")):
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symbols.append(f"sh{c}")
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else:
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symbols.append(f"sz{c}")
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else:
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symbols.append(f"hk{c}")
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prices = fetch_qq_batch(symbols)
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print(f" 行情返回: {len(prices)}只", flush=True)
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# 3. 评估候选
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new_candidates = []
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for code, info in prices.items():
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if code not in candidates:
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continue
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src = candidates[code]
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price = info["price"]
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chg = info["change_pct"]
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name = info["name"]
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vol = info["volume"]
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amt = info["amount"]
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# 条件:涨幅>3%,有量
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if chg < 3.0:
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continue
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if vol <= 0:
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continue
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score = min(10, round(3 + chg * 0.5 + (amt / 1e8 if amt > 0 else 0) * 0.1, 1))
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_mofin_zone = False
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try:
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import sqlite3 as _sq2
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_r2 = _sq2.connect('/home/hmo/MoFin/data/mofin.db').execute(
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'SELECT entry_low,entry_high FROM holding_strategies WHERE code=? AND status=?',
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(code, 'active')).fetchone()
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if _r2 and _r2[0] and _r2[1] and _r2[0] > 0 and _r2[1] > _r2[0]:
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entry_low, entry_high = _r2[0], _r2[1]
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_mofin_zone = True
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except Exception:
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pass
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if not _mofin_zone:
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entry_low = round(price * 0.95, 2)
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entry_high = round(price, 2)
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stop_loss = round(price * 0.92, 2)
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take_profit = round(price * 1.15, 2)
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candidate = {
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"code": code,
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"name": name,
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"price": price,
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"change_pct": chg,
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"score": score,
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"entry_low": entry_low,
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"entry_high": entry_high,
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"stop_loss": stop_loss,
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"take_profit": take_profit,
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"source": src["source"],
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"sector": src.get("sector", ""),
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"reason": f"热门板块{src['sector']}领涨+{chg:.1f}%"
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}
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new_candidates.append(candidate)
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print(f" ✅ {code} {name} 价{price} (+{chg:.1f}%) 评分{score}", flush=True)
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# 4. 写入candidates表(对齐真实表结构:表无 price/change_pct/score/entry_low/entry_high/
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# take_profit/source 列,原 INSERT 必失败——2026-07-23 审计实测确认。
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# UPSERT 只更新扫描器自有列,保留 score_*/pass_*/promoted/log 等计算列)
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if new_candidates:
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conn = get_conn()
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for c in new_candidates:
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conn.execute(
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"INSERT INTO candidates (code, name, sector, reason, "
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"entry_range, stop_loss, target, created_at) "
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"VALUES (?,?,?,?,?,?,?,datetime('now','localtime')) "
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"ON CONFLICT(code) DO UPDATE SET "
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"name=excluded.name, sector=excluded.sector, reason=excluded.reason, "
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"entry_range=excluded.entry_range, stop_loss=excluded.stop_loss, target=excluded.target",
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(c["code"], c["name"], c.get("sector") or c.get("source", "market_scanner"),
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f"{c['reason']} 价{c['price']}(+{c['change_pct']:.1f}%) 评分{c['score']}",
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f"{c['entry_low']}~{c['entry_high']}", c["stop_loss"], c["take_profit"])
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)
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conn.commit()
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conn.close()
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print(f" ✅ 写入{len(new_candidates)}只候选", flush=True)
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else:
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print(f" ⚪ 无新候选", flush=True)
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# 5. 推送到Dad(只推高分)
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high_score = [c for c in new_candidates if c["score"] >= 6]
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if high_score:
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lines = ["🔍 市场扫描发现潜在机会:"]
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for c in high_score[:3]:
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lines.append(
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f" {c['name']}({c['code']}) 价{c['price']:.2f}(+{c['change_pct']:.1f}%) "
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f"评分{c['score']}/10 | {c['reason']}"
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)
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msg = "\n".join(lines)
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# 推XMPP(通过知微 Bot HTTP 桥 :5805)
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import time as _time
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t0 = _time.time()
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try:
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payload = json.dumps({"to": "hmo@yoin.fun", "body": msg, "type": "chat"}).encode()
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req = urllib.request.Request("http://127.0.0.1:5805/", data=payload,
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headers={"Content-Type": "application/json"})
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urllib.request.urlopen(req, timeout=5)
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print(f" 📨 已推送{len(high_score)}只高评分候选", flush=True)
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log_xmpp("out", "zhiwei@yoin.fun", "hmo@yoin.fun", msg, "ok", None, int((_time.time()-t0)*1000))
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except Exception as e:
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print(f" ⚠️ 推送失败: {e}", file=sys.stderr)
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log_xmpp("out", "zhiwei@yoin.fun", "hmo@yoin.fun", msg, "error", str(e)[:200], int((_time.time()-t0)*1000))
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if __name__ == "__main__":
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scan_candidates()
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