fix: market_screener market.json→DB, remove all JSON refs
This commit is contained in:
知微
+283
-254
@@ -1,254 +1,283 @@
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#!/usr/bin/env python3
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"""market_screener.py — 小果本地LLM全市场筛选（分步少吃多餐版）"""
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import json, os, re, time, urllib.request, urllib.error
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from datetime import datetime
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from pathlib import Path
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WEB_DASHBOARD_DIR = Path(__file__).resolve().parent.parent.parent / "web-dashboard" if "hermes" in str(Path(__file__).resolve()) else Path(__file__).parent
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DATA_DIR = WEB_DASHBOARD_DIR / "data"
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MARKET_JSON = DATA_DIR / "market.json"
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POOL_JSON = DATA_DIR / "candidate_pool.json"
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XIAOGUO_MODEL = "Qwen3.6-27B-OptiQ-4bit"
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API_TIMEOUT = 60
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MAX_SECTORS = 5
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MAX_CANDIDATES_POOL = 60
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TENCENT_URL = "http://qt.gtimg.cn/q="
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def _get_xiaoguo_url():
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try:
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from mo_config import get_config
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return get_config().xiaoguo_api_url
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except Exception:
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return "http://node122:18003/v1/chat/completions" # legacy fallback
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def load_json(path):
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try:
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with open(path, "r", encoding="utf-8") as f:
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return json.load(f)
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except (FileNotFoundError, json.JSONDecodeError):
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return None
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def save_json(path, data):
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path.parent.mkdir(parents=True, exist_ok=True)
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with open(path, "w", encoding="utf-8") as f:
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json.dump(data, f, ensure_ascii=False, indent=2)
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def call_xiaoguo(messages, timeout=API_TIMEOUT):
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"""调小果本地LLM（通过node122直连，/etc/hosts自动走LAN或EasyTier）"""
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payload = json.dumps({"model": XIAOGUO_MODEL, "messages": messages,
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"temperature": 0.1, "max_tokens": 2048}).encode()
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req = urllib.request.Request(_get_xiaoguo_url(), data=payload,
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headers={"Content-Type": "application/json",
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"Authorization": "Bearer hermes123"}, method="POST")
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try:
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resp = urllib.request.build_opener(urllib.request.ProxyHandler({})).open(req, timeout=timeout)
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return json.loads(resp.read())["choices"][0]["message"]["content"]
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except Exception as e:
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print(f"API失败: {e}", flush=True)
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return None
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def extract_json(text):
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"""从回复中提取第一个完整JSON，跳过思考过程"""
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# 优先找代码块
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m = re.search(r"```(?:json)?\s*(\{[\s\S]*?\})\s*```", text)
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if m:
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try:
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return json.loads(m.group(1))
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except json.JSONDecodeError:
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pass
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# 跳过思考过程行（Here's a thinking process / 数字列表项）
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clean_lines = []
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for line in text.split("\n"):
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s = line.strip()
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if re.match(r"^\d+\.\s+\*\*", s) or "Here's a thinking" in s or "**Analyze" in s:
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continue
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if s.startswith("```"):
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clean_lines.append(s)
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continue
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clean_lines.append(line)
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clean = "\n".join(clean_lines)
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# 找第一个完整JSON
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start = clean.find("{")
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if start < 0:
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return None
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for mode in ["直接", "跳过头部"]:
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for pos in [start, clean.find("\n{", start), clean.find("{", start + 1)]:
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if pos < 0:
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continue
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depth = 0
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for i in range(pos, len(clean)):
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if clean[i] == "{": depth += 1
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elif clean[i] == "}":
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depth -= 1
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if depth == 0:
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try:
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return json.loads(clean[pos:i+1])
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except json.JSONDecodeError:
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break
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return None
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def tencent_quote(code):
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try:
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opener = urllib.request.build_opener(urllib.request.ProxyHandler({}))
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tc = f"sh{code}" if code.startswith("6") or code.startswith("5") else f"sz{code}"
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resp = opener.open(TENCENT_URL + tc, timeout=5)
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d = resp.read().decode("gbk").split('="')[1].split('"')[0].split("~")
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if len(d) > 32:
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return {"name": d[1], "price": float(d[3]) if d[3] else 0,
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"change_pct": float(d[32]) if d[32] else 0}
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except:
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pass
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return None
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def load_pool():
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pool = load_json(POOL_JSON)
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return pool if pool else {"last_updated": "", "total_candidates": 0, "candidates": []}
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def save_pool(pool):
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pool["last_updated"] = datetime.now().strftime("%Y-%m-%d %H:%M")
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pool["total_candidates"] = len([c for c in pool.get("candidates", []) if not c.get("dropped")])
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save_json(POOL_JSON, pool)
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def add_or_update(pool, code, name, sector, score, reason, entry_range, stop_loss, target, vprice, vchg):
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now = datetime.now().strftime("%Y-%m-%d %H:%M")
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for c in pool.setdefault("candidates", []):
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if c["code"] == code and not c.get("dropped"):
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c.update({"last_updated": now, "num_observations": c.get("num_observations", 1) + 1,
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"xiaoguo_score": score, "xiaoguo_reason": reason,
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"xiaoguo_strategy": {"entry_range": entry_range, "stop_loss": stop_loss, "target": target},
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"verified_price": vprice, "verified_change": vchg})
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c.setdefault("score_history", []).append({"date": now, "score": score})
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hist = c["score_history"]
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if len(hist) >= 3:
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recent = [h["score"] for h in hist[-3:]]
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c["trend_warning"] = all(recent[i] > recent[i+1] for i in range(2))
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return False
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pool["candidates"].append({"code": code, "name": name, "sector": sector,
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"xiaoguo_score": score, "xiaoguo_reason": reason,
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"xiaoguo_strategy": {"entry_range": entry_range, "stop_loss": stop_loss, "target": target},
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"verified_price": vprice, "verified_change": vchg,
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"added_at": now, "last_updated": now, "num_observations": 1,
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"score_history": [{"date": now, "score": score}],
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"zhiwei_star": None, "zhiwei_reviewed": False, "zhiwei_reviewed_at": None,
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"promoted": False, "promoted_at": None, "dropped": False, "drop_reason": None,
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"trend_warning": False, "trend_note": ""})
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return True
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def cleanup(pool):
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now = datetime.now()
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for c in pool.get("candidates", []):
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if c.get("dropped"): continue
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hist = c.get("score_history", [])
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if len(hist) >= 3 and sum(h["score"] for h in hist[-3:]) / 3 < 5:
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c.update({"dropped": True, "drop_reason": "平均评分<5"}); continue
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if len(hist) >= 3:
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recent = [h["score"] for h in hist[-3:]]
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if all(recent[i] > recent[i+1] for i in range(2)):
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if c.get("trend_warning"): c.update({"dropped": True, "drop_reason": "连续下降2轮"})
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else: c["trend_warning"] = True
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if c.get("last_updated"):
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try:
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if (now - datetime.strptime(c["last_updated"], "%Y-%m-%d %H:%M")).days >= 7:
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c.update({"dropped": True, "drop_reason": "超7天未更新"})
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except: pass
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# ── 第1步：大盘分析 ──
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def step1(sectors, source):
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normalized = []
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for s in sectors:
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cp = (s.get("change", 0) / 100) if source == "eastmoney" else s.get("change", 0)
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parts = [f"{s['name']}({cp:+.2f}%)"]
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if s.get("lead_stock"): parts.append(f"领涨:{s['lead_stock']}")
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if s.get("net_inflow"): parts.append(f"资金:{s['net_inflow']}亿")
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normalized.append((" | ".join(parts), cp))
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gainers = [x[0] for x in sorted(normalized, key=lambda x: x[1], reverse=True) if x[1] > 0][:10]
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losers = [x[0] for x in sorted(normalized, key=lambda x: x[1]) if x[1] <= 0][:5]
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text = "领涨板块：\n" + "\n".join(gainers)
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if losers: text += "\n领跌板块：\n" + "\n".join(losers)
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prompt = f"分析以下A股板块，选出3-5个值得关注的行业（只看趋势，排除一日游）。\n\n{text}\n\n输出JSON：{{\"market_verdict\":\"强势|中性|弱势\",\"hot_sectors\":[{{\"name\":\"板块名\",\"reason\":\"理由\"}}],\"danger_sectors\":[{{\"name\":\"板块名\",\"reason\":\"理由\"}}]}}"
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print(f" 第1步：大盘分析", flush=True)
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result = call_xiaoguo([{"role": "user", "content": prompt}])
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return extract_json(result) if result else None
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# ── 第2步：个股分析 ──
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def step2(sector, source):
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name = sector.get("name", "")
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cp = (sector.get("change", 0) / 100) if source == "eastmoney" else sector.get("change", 0)
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detail = []
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if sector.get("up_count"): detail.append(f"上涨{sector['up_count']}/{sector['up_count']+sector.get('down_count',0)}家")
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if sector.get("net_inflow"): detail.append(f"资金净流入{sector['net_inflow']}亿")
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if sector.get("lead_stock"): detail.append(f"领涨{sector['lead_stock']}({sector.get('lead_stock_change',0):+.2f}%)")
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d = " | ".join(detail) if detail else "无详细数据"
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prompt = f"板块：{name}({cp:+.2f}%) | {d}\n推荐2-3只候选股，评分1-10，附入场区间/止损/目标。JSON：{{\"sector_judgment\":\"\",\"sector_reason\":\"\",\"candidates\":[{{\"code\":\"\",\"name\":\"\",\"score\":0,\"reason\":\"\",\"entry_range\":\"\",\"stop_loss\":\"\",\"target\":\"\"}}]}}"
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print(f" 分析行业: {name}", flush=True)
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result = call_xiaoguo([{"role": "user", "content": prompt}])
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if not result: return None
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parsed = extract_json(result)
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if not parsed: return None
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valid = []
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for c in parsed.get("candidates", []):
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q = tencent_quote(c.get("code", ""))
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if q and q["price"] > 0:
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c["verified_price"], c["verified_change"] = q["price"], q["change_pct"]
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valid.append(c)
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print(f" 候选{len(parsed.get('candidates',[]))}只, 验证通过{len(valid)}只", flush=True)
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return valid
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def main():
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market = load_json(MARKET_JSON)
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if not market or not market.get("sectors"):
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print("market.json 无数据", flush=True); return
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sectors, source = market["sectors"], market.get("source", "ths")
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print(f"板块: {len(sectors)}, 来源: {source}", flush=True)
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pool = load_pool()
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existing = {c["code"] for c in pool.get("candidates", []) if not c.get("dropped")}
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# 第1步
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view = step1(sectors, source)
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if not view:
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print("第1步失败", flush=True); return
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market["market_verdict"] = view.get("market_verdict", "中性")
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market["verdict_reason"] = view.get("verdict_reason", "")
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market["hot_sectors"] = view.get("hot_sectors", [])
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market["danger_sectors"] = view.get("danger_sectors", [])
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market["xiaoguo_scan_timestamp"] = datetime.now().strftime("%Y-%m-%d %H:%M")
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market.setdefault("insights", []).append(f"[小果全市场] {view.get('market_verdict','中性')}")
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hot_names = [s["name"] for s in view.get("hot_sectors", [])]
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print(f"热门行业: {hot_names}", flush=True)
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if not hot_names:
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save_pool(pool); save_json(MARKET_JSON, market); return
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# 第2步
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hot_data = [s for s in sectors if s.get("name", "") in hot_names][:MAX_SECTORS]
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new_count = 0
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for s in hot_data:
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cands = step2(s, source)
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if not cands: continue
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for c in cands:
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if add_or_update(pool, c["code"], c.get("name",""), s["name"],
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c.get("score",5), c.get("reason",""),
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c.get("entry_range",""), c.get("stop_loss",""), c.get("target",""),
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c.get("verified_price",0), c.get("verified_change",0)):
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new_count += 1
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print(f" + {c.get('name','')}({c['code']}) {c.get('score',0)}分", flush=True)
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cleanup(pool)
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save_pool(pool)
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save_json(MARKET_JSON, market)
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print(f"完成: 新增{new_count}, 池内{pool['total_candidates']}活跃", flush=True)
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if __name__ == "__main__":
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main()
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#!/usr/bin/env python3
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"""market_screener.py — 小果本地LLM全市场筛选（分步少吃多餐版）"""
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import json, os, re, time, urllib.request, urllib.error
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from datetime import datetime
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from pathlib import Path
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WEB_DASHBOARD_DIR = Path(__file__).resolve().parent.parent.parent / "web-dashboard" if "hermes" in str(Path(__file__).resolve()) else Path(__file__).parent
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DATA_DIR = WEB_DASHBOARD_DIR / "data"
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POOL_JSON = DATA_DIR / "candidate_pool.json" # 筛选缓存（临时）
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XIAOGUO_MODEL = "Qwen3.6-27B-OptiQ-4bit"
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API_TIMEOUT = 60
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MAX_SECTORS = 5
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MAX_CANDIDATES_POOL = 60
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TENCENT_URL = "http://qt.gtimg.cn/q="
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def _get_xiaoguo_url():
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try:
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from mo_config import get_config
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return get_config().xiaoguo_api_url
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except Exception:
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return "http://node122:18003/v1/chat/completions" # legacy fallback
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def load_json(path):
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try:
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with open(path, "r", encoding="utf-8") as f:
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return json.load(f)
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except (FileNotFoundError, json.JSONDecodeError):
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return None
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def save_json(path, data):
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path.parent.mkdir(parents=True, exist_ok=True)
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with open(path, "w", encoding="utf-8") as f:
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json.dump(data, f, ensure_ascii=False, indent=2)
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def call_xiaoguo(messages, timeout=API_TIMEOUT):
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"""调小果本地LLM（通过node122直连，/etc/hosts自动走LAN或EasyTier）"""
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payload = json.dumps({"model": XIAOGUO_MODEL, "messages": messages,
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"temperature": 0.1, "max_tokens": 2048}).encode()
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req = urllib.request.Request(_get_xiaoguo_url(), data=payload,
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headers={"Content-Type": "application/json",
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"Authorization": "Bearer hermes123"}, method="POST")
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try:
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resp = urllib.request.build_opener(urllib.request.ProxyHandler({})).open(req, timeout=timeout)
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return json.loads(resp.read())["choices"][0]["message"]["content"]
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except Exception as e:
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print(f"API失败: {e}", flush=True)
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return None
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def extract_json(text):
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"""从回复中提取第一个完整JSON，跳过思考过程"""
|
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# 优先找代码块
|
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m = re.search(r"```(?:json)?\s*(\{[\s\S]*?\})\s*```", text)
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if m:
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try:
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return json.loads(m.group(1))
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except json.JSONDecodeError:
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pass
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# 跳过思考过程行（Here's a thinking process / 数字列表项）
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clean_lines = []
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for line in text.split("\n"):
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s = line.strip()
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if re.match(r"^\d+\.\s+\*\*", s) or "Here's a thinking" in s or "**Analyze" in s:
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continue
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if s.startswith("```"):
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clean_lines.append(s)
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continue
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clean_lines.append(line)
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clean = "\n".join(clean_lines)
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# 找第一个完整JSON
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start = clean.find("{")
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if start < 0:
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return None
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for mode in ["直接", "跳过头部"]:
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for pos in [start, clean.find("\n{", start), clean.find("{", start + 1)]:
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if pos < 0:
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continue
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depth = 0
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for i in range(pos, len(clean)):
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if clean[i] == "{": depth += 1
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elif clean[i] == "}":
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depth -= 1
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if depth == 0:
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try:
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return json.loads(clean[pos:i+1])
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except json.JSONDecodeError:
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break
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return None
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def tencent_quote(code):
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try:
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opener = urllib.request.build_opener(urllib.request.ProxyHandler({}))
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tc = f"sh{code}" if code.startswith("6") or code.startswith("5") else f"sz{code}"
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resp = opener.open(TENCENT_URL + tc, timeout=5)
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d = resp.read().decode("gbk").split('="')[1].split('"')[0].split("~")
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if len(d) > 32:
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return {"name": d[1], "price": float(d[3]) if d[3] else 0,
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"change_pct": float(d[32]) if d[32] else 0}
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except:
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pass
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return None
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def load_pool():
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pool = load_json(POOL_JSON)
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return pool if pool else {"last_updated": "", "total_candidates": 0, "candidates": []}
|
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def save_pool(pool):
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pool["last_updated"] = datetime.now().strftime("%Y-%m-%d %H:%M")
|
||||
pool["total_candidates"] = len([c for c in pool.get("candidates", []) if not c.get("dropped")])
|
||||
save_json(POOL_JSON, pool)
|
||||
|
||||
|
||||
def add_or_update(pool, code, name, sector, score, reason, entry_range, stop_loss, target, vprice, vchg):
|
||||
now = datetime.now().strftime("%Y-%m-%d %H:%M")
|
||||
for c in pool.setdefault("candidates", []):
|
||||
if c["code"] == code and not c.get("dropped"):
|
||||
c.update({"last_updated": now, "num_observations": c.get("num_observations", 1) + 1,
|
||||
"xiaoguo_score": score, "xiaoguo_reason": reason,
|
||||
"xiaoguo_strategy": {"entry_range": entry_range, "stop_loss": stop_loss, "target": target},
|
||||
"verified_price": vprice, "verified_change": vchg})
|
||||
c.setdefault("score_history", []).append({"date": now, "score": score})
|
||||
hist = c["score_history"]
|
||||
if len(hist) >= 3:
|
||||
recent = [h["score"] for h in hist[-3:]]
|
||||
c["trend_warning"] = all(recent[i] > recent[i+1] for i in range(2))
|
||||
return False
|
||||
pool["candidates"].append({"code": code, "name": name, "sector": sector,
|
||||
"xiaoguo_score": score, "xiaoguo_reason": reason,
|
||||
"xiaoguo_strategy": {"entry_range": entry_range, "stop_loss": stop_loss, "target": target},
|
||||
"verified_price": vprice, "verified_change": vchg,
|
||||
"added_at": now, "last_updated": now, "num_observations": 1,
|
||||
"score_history": [{"date": now, "score": score}],
|
||||
"zhiwei_star": None, "zhiwei_reviewed": False, "zhiwei_reviewed_at": None,
|
||||
"promoted": False, "promoted_at": None, "dropped": False, "drop_reason": None,
|
||||
"trend_warning": False, "trend_note": ""})
|
||||
return True
|
||||
|
||||
|
||||
def cleanup(pool):
|
||||
now = datetime.now()
|
||||
for c in pool.get("candidates", []):
|
||||
if c.get("dropped"): continue
|
||||
hist = c.get("score_history", [])
|
||||
if len(hist) >= 3 and sum(h["score"] for h in hist[-3:]) / 3 < 5:
|
||||
c.update({"dropped": True, "drop_reason": "平均评分<5"}); continue
|
||||
if len(hist) >= 3:
|
||||
recent = [h["score"] for h in hist[-3:]]
|
||||
if all(recent[i] > recent[i+1] for i in range(2)):
|
||||
if c.get("trend_warning"): c.update({"dropped": True, "drop_reason": "连续下降2轮"})
|
||||
else: c["trend_warning"] = True
|
||||
if c.get("last_updated"):
|
||||
try:
|
||||
if (now - datetime.strptime(c["last_updated"], "%Y-%m-%d %H:%M")).days >= 7:
|
||||
c.update({"dropped": True, "drop_reason": "超7天未更新"})
|
||||
except: pass
|
||||
|
||||
|
||||
# ── 第1步：大盘分析 ──
|
||||
def step1(sectors, source):
|
||||
normalized = []
|
||||
for s in sectors:
|
||||
cp = (s.get("change", 0) / 100) if source == "eastmoney" else s.get("change", 0)
|
||||
parts = [f"{s['name']}({cp:+.2f}%)"]
|
||||
if s.get("lead_stock"): parts.append(f"领涨:{s['lead_stock']}")
|
||||
if s.get("net_inflow"): parts.append(f"资金:{s['net_inflow']}亿")
|
||||
normalized.append((" | ".join(parts), cp))
|
||||
gainers = [x[0] for x in sorted(normalized, key=lambda x: x[1], reverse=True) if x[1] > 0][:10]
|
||||
losers = [x[0] for x in sorted(normalized, key=lambda x: x[1]) if x[1] <= 0][:5]
|
||||
text = "领涨板块：\n" + "\n".join(gainers)
|
||||
if losers: text += "\n领跌板块：\n" + "\n".join(losers)
|
||||
prompt = f"分析以下A股板块，选出3-5个值得关注的行业（只看趋势，排除一日游）。\n\n{text}\n\n输出JSON：{{\"market_verdict\":\"强势|中性|弱势\",\"hot_sectors\":[{{\"name\":\"板块名\",\"reason\":\"理由\"}}],\"danger_sectors\":[{{\"name\":\"板块名\",\"reason\":\"理由\"}}]}}"
|
||||
print(f" 第1步：大盘分析", flush=True)
|
||||
result = call_xiaoguo([{"role": "user", "content": prompt}])
|
||||
return extract_json(result) if result else None
|
||||
|
||||
|
||||
# ── 第2步：个股分析 ──
|
||||
def step2(sector, source):
|
||||
name = sector.get("name", "")
|
||||
cp = (sector.get("change", 0) / 100) if source == "eastmoney" else sector.get("change", 0)
|
||||
detail = []
|
||||
if sector.get("up_count"): detail.append(f"上涨{sector['up_count']}/{sector['up_count']+sector.get('down_count',0)}家")
|
||||
if sector.get("net_inflow"): detail.append(f"资金净流入{sector['net_inflow']}亿")
|
||||
if sector.get("lead_stock"): detail.append(f"领涨{sector['lead_stock']}({sector.get('lead_stock_change',0):+.2f}%)")
|
||||
d = " | ".join(detail) if detail else "无详细数据"
|
||||
prompt = f"板块：{name}({cp:+.2f}%) | {d}\n推荐2-3只候选股，评分1-10，附入场区间/止损/目标。JSON：{{\"sector_judgment\":\"\",\"sector_reason\":\"\",\"candidates\":[{{\"code\":\"\",\"name\":\"\",\"score\":0,\"reason\":\"\",\"entry_range\":\"\",\"stop_loss\":\"\",\"target\":\"\"}}]}}"
|
||||
print(f" 分析行业: {name}", flush=True)
|
||||
result = call_xiaoguo([{"role": "user", "content": prompt}])
|
||||
if not result: return None
|
||||
parsed = extract_json(result)
|
||||
if not parsed: return None
|
||||
valid = []
|
||||
for c in parsed.get("candidates", []):
|
||||
q = tencent_quote(c.get("code", ""))
|
||||
if q and q["price"] > 0:
|
||||
c["verified_price"], c["verified_change"] = q["price"], q["change_pct"]
|
||||
valid.append(c)
|
||||
print(f" 候选{len(parsed.get('candidates',[]))}只, 验证通过{len(valid)}只", flush=True)
|
||||
return valid
|
||||
|
||||
|
||||
def main():
|
||||
# 从 DB 读大盘+板块数据（替代 market.json）
|
||||
from mofin_db import get_conn
|
||||
conn = get_conn()
|
||||
market = {"sectors": [], "source": "db"}
|
||||
try:
|
||||
# latest snapshot
|
||||
sr = conn.execute("SELECT * FROM market_snapshots ORDER BY id DESC LIMIT 1").fetchone()
|
||||
if sr:
|
||||
cols = [d[0] for d in conn.execute("SELECT * FROM market_snapshots LIMIT 0").description]
|
||||
snap = dict(zip(cols, sr))
|
||||
market["up_ratio"] = snap.get("up_ratio", 0)
|
||||
market["mood"] = snap.get("mood", "neutral")
|
||||
market["source"] = snap.get("source", "db")
|
||||
|
||||
# sector data
|
||||
sectors = conn.execute("""
|
||||
SELECT s.name as name, s.change_pct as change_pct, s.lead_stock as lead_stock,
|
||||
s.up_count, s.down_count, s.net_inflow
|
||||
FROM sector_snapshots s
|
||||
JOIN market_snapshots ms ON s.snapshot_id = ms.id
|
||||
WHERE ms.id = (SELECT MAX(id) FROM market_snapshots)
|
||||
ORDER BY s.change_pct DESC
|
||||
""").fetchall()
|
||||
if sectors:
|
||||
cols = [d[0] for d in conn.execute("SELECT name, change_pct, lead_stock, up_count, down_count, net_inflow FROM sector_snapshots LIMIT 0").description]
|
||||
market["sectors"] = [dict(zip(cols, r)) for r in sectors]
|
||||
except Exception as e:
|
||||
print(f"DB read error: {e}", flush=True)
|
||||
conn.close()
|
||||
|
||||
if not market.get("sectors"):
|
||||
print("market 无数据", flush=True); return
|
||||
sectors = market["sectors"]
|
||||
source = market.get("source", "db")
|
||||
print(f"板块: {len(sectors)}, 来源: {source}", flush=True)
|
||||
pool = load_pool()
|
||||
existing = {c["code"] for c in pool.get("candidates", []) if not c.get("dropped")}
|
||||
|
||||
# 第1步
|
||||
view = step1(sectors, source)
|
||||
if not view:
|
||||
print("第1步失败", flush=True); return
|
||||
market["market_verdict"] = view.get("market_verdict", "中性")
|
||||
market["verdict_reason"] = view.get("verdict_reason", "")
|
||||
market["hot_sectors"] = view.get("hot_sectors", [])
|
||||
market["danger_sectors"] = view.get("danger_sectors", [])
|
||||
market["xiaoguo_scan_timestamp"] = datetime.now().strftime("%Y-%m-%d %H:%M")
|
||||
market.setdefault("insights", []).append(f"[小果全市场] {view.get('market_verdict','中性')}")
|
||||
hot_names = [s["name"] for s in view.get("hot_sectors", [])]
|
||||
print(f"热门行业: {hot_names}", flush=True)
|
||||
if not hot_names:
|
||||
save_pool(pool)
|
||||
return
|
||||
|
||||
# 第2步
|
||||
hot_data = [s for s in sectors if s.get("name", "") in hot_names][:MAX_SECTORS]
|
||||
new_count = 0
|
||||
for s in hot_data:
|
||||
cands = step2(s, source)
|
||||
if not cands: continue
|
||||
for c in cands:
|
||||
if add_or_update(pool, c["code"], c.get("name",""), s["name"],
|
||||
c.get("score",5), c.get("reason",""),
|
||||
c.get("entry_range",""), c.get("stop_loss",""), c.get("target",""),
|
||||
c.get("verified_price",0), c.get("verified_change",0)):
|
||||
new_count += 1
|
||||
print(f" + {c.get('name','')}({c['code']}) {c.get('score',0)}分", flush=True)
|
||||
|
||||
cleanup(pool)
|
||||
save_pool(pool)
|
||||
print(f"完成: 新增{new_count}, 池内{pool['total_candidates']}活跃", flush=True)
|
||||
|
||||
if __name__ == "__main__":
|
||||
main()
|
||||
|
||||
Reference in New Issue
Block a user