MoFin/mofin_query.py

#!/usr/bin/env python3
"""mofin_query.py — MoFin 数据库通用查询工具

用法:
    python3 mofin_query.py "半导体最近5次采集的涨跌幅"
    python3 mofin_query.py "今天资金净流入最多的5个板块"
    python3 mofin_query.py "最近3天连续净流入的板块"
    python3 mofin_query.py "市场情绪趋势(最近10次)"
    python3 mofin_query.py "数据库概览"
"""

import sys
import re
from mofin_db import (get_conn, query_sector_trend, query_top_inflow,
                       query_consecutive_inflow, query_market_mood, query_db_stats)


def _print_sector_trend(name: str, limit: int = 5):
    conn = get_conn()
    rows = query_sector_trend(conn, name, limit)
    conn.close()
    if not rows:
        print(f"未找到板块「{name}」的数据")
        return
    print(f"\n{'='*60}")
    print(f"  {name} 板块 — 最近 {len(rows)} 次采集")
    print(f"{'='*60}")
    print(f"{'时间':<20} {'涨跌幅%':>8} {'净流入(亿)':>10} {'上涨':>6} {'下跌':>6} {'领涨股':>10}")
    print(f"{'-'*20} {'-'*8} {'-'*10} {'-'*6} {'-'*6} {'-'*10}")
    for r in reversed(rows):
        print(f"{r['timestamp']:<20} {r['change_pct']:>8.2f} {r['net_inflow']:>10.2f} "
              f"{r['up_count'] or '-':>6} {r['down_count'] or '-':>6} {r['lead_stock'] or '-':>10}")


def _print_top_inflow(limit: int = 5):
    conn = get_conn()
    rows = query_top_inflow(conn, limit)
    conn.close()
    if not rows:
        print("暂无数据")
        return
    print(f"\n{'='*60}")
    print(f"  资金净流入 Top {len(rows)}（{rows[0]['timestamp']}）")
    print(f"{'='*60}")
    print(f"{'板块':<12} {'涨跌幅%':>8} {'净流入(亿)':>10} {'领涨股':>10}")
    print(f"{'-'*12} {'-'*8} {'-'*10} {'-'*10}")
    for r in rows:
        print(f"{r['name']:<12} {r['change_pct']:>8.2f} {r['net_inflow']:>10.2f} {r['lead_stock'] or '-':>10}")


def _print_consecutive_inflow(days: int = 3):
    conn = get_conn()
    rows = query_consecutive_inflow(conn, days)
    conn.close()
    if not rows:
        print(f"没有板块连续 {days} 次净流入")
        return
    print(f"\n{'='*60}")
    print(f"  连续 {days} 次净流入的板块")
    print(f"{'='*60}")
    print(f"{'板块':<12} {'次数':>4} {'均净流入(亿)':>12} {'均涨跌幅%':>10}")
    print(f"{'-'*12} {'-'*4} {'-'*12} {'-'*10}")
    for r in rows:
        print(f"{r['name']:<12} {r['times']:>4} {r['avg_inflow']:>12.2f} {r['avg_change']:>10.2f}")


def _print_market_mood(limit: int = 10):
    conn = get_conn()
    rows = query_market_mood(conn, limit)
    conn.close()
    if not rows:
        print("暂无数据")
        return
    print(f"\n{'='*60}")
    print(f"  市场情绪趋势 — 最近 {len(rows)} 次")
    print(f"{'='*60}")
    print(f"{'时间':<20} {'来源':>10} {'上涨占比%':>10} {'情绪':>10}")
    print(f"{'-'*20} {'-'*10} {'-'*10} {'-'*10}")
    for r in reversed(rows):
        mood_emoji = {"bullish": "🟢", "neutral": "🟡", "bearish": "🔴"}.get(r['mood'], "⚪")
        print(f"{r['timestamp']:<20} {r['source']:>10} {r['up_ratio']:>10.1f} {mood_emoji} {r['mood']:>8}")


def _print_stats():
    conn = get_conn()
    stats = query_db_stats(conn)
    conn.close()
    print(f"\n{'='*40}")
    print(f"  MoFin 数据库概览")
    print(f"{'='*40}")
    print(f"  采集次数: {stats['snapshots']}")
    print(f"  板块快照: {stats['sector_rows']}")
    print(f"  个股数量: {stats['stocks']}")
    print(f"  日K线数: {stats['daily_klines']}")
    print(f"  价格事件: {stats['price_events']}")
    ls = stats.get('latest_snapshot')
    if ls:
        print(f"  最新采集: {ls['timestamp']} ({ls['source']})")
    else:
        print(f"  最新采集: 暂无")


def route(query: str):
    q = query.strip()
    if "最近" in q and "次" in q and ("涨跌" in q or "趋势" in q or "采集" in q):
        names = re.findall(r'["「]([^"」]+)["」]', q)
        if not names:
            for word in ["半导体", "银行", "医药", "新能源", "白酒", "军工", "芯片", "房地产", "汽车"]:
                if word in q:
                    names = [word]; break
        if names:
            limit = 5
            m = re.search(r'(\d+)\s*次', q)
            if m: limit = int(m.group(1))
            _print_sector_trend(names[0], limit)
            return
    if "净流入" in q and ("最多" in q or "排行" in q or "top" in q.lower()):
        limit = 5
        m = re.search(r'(\d+)', q)
        if m: limit = int(m.group(1))
        _print_top_inflow(limit)
        return
    if "连续" in q and "净流入" in q:
        days = 3
        m = re.search(r'(\d+)\s*天', q)
        if m: days = int(m.group(1))
        _print_consecutive_inflow(days)
        return
    if "情绪" in q or "mood" in q.lower():
        limit = 10
        m = re.search(r'(\d+)\s*次', q)
        if m: limit = int(m.group(1))
        _print_market_mood(limit)
        return
    if "概览" in q or "统计" in q or "stats" in q.lower():
        _print_stats()
        return
    if q.upper().strip().startswith("SELECT"):
        conn = get_conn()
        try:
            rows = conn.execute(q).fetchall()
            if rows:
                cols = [d[0] for d in conn.execute(q + " LIMIT 0").description]
                print("\t".join(cols))
                for r in rows:
                    print("\t".join(str(c) for c in r))
            else:
                print("(empty)")
        except Exception as e:
            print(f"SQL 错误: {e}")
        finally:
            conn.close()
        return
    print(f"未识别的查询: {q}\n")
    print("支持的查询模式:")
    print("  「半导体」最近5次采集的涨跌幅")
    print("  今天资金净流入最多的5个板块")
    print("  最近3天连续净流入的板块")
    print("  市场情绪趋势(最近10次)")
    print("  数据库概览")
    print("  SELECT * FROM market_snapshots ORDER BY id DESC LIMIT 5")


if __name__ == "__main__":
    if len(sys.argv) < 2:
        print("用法: python3 mofin_query.py \"查询语句\"")
        print("示例: python3 mofin_query.py \"半导体最近5次采集的涨跌幅\"")
        sys.exit(1)
    route(sys.argv[1])