Files
MoFin/mo_data.py
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6.4 KiB
Python

#!/usr/bin/env python3
"""
mo_data.py — MoFin 统一数据层(纯 DB)
所有数据从 SQLite 读取。不做 JSON fallback。
JSON 文件已弃用,仅保留为历史备份。
用法:
from mo_data import read_portfolio, read_decisions, read_watchlist
pf = read_portfolio() # 返回和 portfolio.json 一样的 dict 结构
dec = read_decisions() # 返回和 decisions.json 一样的 dict 结构
wl = read_watchlist() # 返回和 watchlist.json 一样的 dict 结构
"""
import sqlite3, json
from datetime import datetime
DB_PATH = '/home/hmo/web-dashboard/data/mofin.db'
def _get_db():
db = sqlite3.connect(DB_PATH)
db.row_factory = sqlite3.Row
return db
# ── portfolio ─────────────────────────────────────────────────────
def read_portfolio():
"""返回 portfolio.json 等价 dict。纯 DB。"""
db = _get_db()
rows = db.execute(
"SELECT code, name, shares, cost, price, market_value, "
"change_pct, currency, position_pct "
"FROM holdings WHERE is_active=1"
).fetchall()
holdings = []
for r in rows:
h = dict(r)
h['_currency'] = h.get('currency', 'CNY')
holdings.append(h)
sum_row = db.execute("SELECT * FROM portfolio_summary WHERE id=1").fetchone()
summary = dict(sum_row) if sum_row else {}
db.close()
return {
"holdings": holdings,
"total_assets": summary.get("total_assets", 0),
"total_mv": summary.get("total_mv", 0),
"stock_value": summary.get("stock_value", summary.get("total_mv", 0)),
"cash": summary.get("cash", 0),
"frozen_cash": summary.get("frozen_cash", 0),
"position_pct": summary.get("position_pct", 0),
"currency": summary.get("currency", "CNY"),
"updated_at": summary.get("updated_at", ""),
}
# ── decisions ─────────────────────────────────────────────────────
def _parse_json(val, default):
if val:
try: return json.loads(val)
except: pass
return default
def read_decisions():
"""返回 decisions.json 等价 dict。纯 DB。"""
db = _get_db()
rows = db.execute(
"SELECT code, name, version, price, cost, shares, "
"stop_loss, take_profit, entry_low, entry_high, "
"currency, strategy_type, action, timing_signal, "
"rr_ratio, tech_snapshot, stock_category, sector_context, "
"status, trigger_json, changelog_json, source, reason, "
"created_at, updated_at, "
"avg_price, decision_timestamp, note, quality_check, "
"quality_checked_at, quality_issues_json, position_advice, "
"signal_factors_json, time_horizon, decision_type "
"FROM holding_strategies WHERE status IN ('active','updated') "
"ORDER BY code"
).fetchall()
decisions = []
for r in rows:
d = dict(r)
d['trigger'] = _parse_json(r['trigger_json'], {})
d['changelog'] = _parse_json(r['changelog_json'], [])
d['quality_issues'] = _parse_json(r['quality_issues_json'], {})
d['signal_factors'] = _parse_json(r['signal_factors_json'], [])
d['timestamp'] = r['decision_timestamp'] or r['created_at'] or ''
d['type'] = r['decision_type'] or r['strategy_type'] or '持仓策略'
decisions.append(d)
db.close()
return {
"decisions": decisions,
"total": len(decisions),
"regenerated_at": datetime.now().strftime('%Y-%m-%d %H:%M'),
}
# ── watchlist ─────────────────────────────────────────────────────
def read_watchlist():
"""返回 watchlist.json 等价 dict。纯 DB。"""
db = _get_db()
rows = db.execute(
"SELECT code, name, price, entry_low, entry_high, "
"stop_loss, currency, source, source_detail, notes, "
"added_by, added_at, analysis_json "
"FROM watchlist_stocks WHERE is_active=1"
).fetchall()
stocks = []
for r in rows:
s = dict(r)
s['source_detail'] = _parse_json(r['source_detail'], None)
if r['analysis_json']:
s['analysis'] = _parse_json(r['analysis_json'], {})
else:
s['analysis'] = {}
stocks.append(s)
db.close()
return {
"stocks": stocks,
"updated_at": datetime.now().strftime('%Y-%m-%d %H:%M'),
}
# ── 便捷别名 ───────────────────────────────────────────────────────
def read_portfolio_json():
return read_portfolio()
def read_decisions_json():
return read_decisions()
def read_watchlist_json():
return read_watchlist()
# ── cash_log 写入 ──────────────────────────────────────────────────
def write_cash_log(cash_before, cash_after, frozen_before, frozen_after,
source, note, verified=0):
"""记录现金变更到 cash_log 表。"""
change_amount = round(cash_after - cash_before, 2) if cash_after is not None and cash_before is not None else 0
db = sqlite3.connect(DB_PATH)
try:
cur = db.execute(
"""INSERT INTO cash_log
(timestamp, cash_before, cash_after, frozen_before, frozen_after,
change_amount, source, note, verified)
VALUES (datetime('now','localtime'), ?, ?, ?, ?, ?, ?, ?, ?)""",
(cash_before, cash_after, frozen_before, frozen_after,
change_amount, source, note, verified)
)
db.commit()
return cur.lastrowid
finally:
db.close()
# ── 自检 ───────────────────────────────────────────────────────────
if __name__ == "__main__":
pf = read_portfolio()
print(f"portfolio: {len(pf.get('holdings',[]))} holdings, total_assets={pf.get('total_assets',0)}")
dec = read_decisions()
print(f"decisions: {len(dec.get('decisions',[]))} entries")
wl = read_watchlist()
print(f"watchlist: {len(wl.get('stocks',[]))} stocks")