dekun
709801305f
期货下单与持仓监控左右并排，推荐按资金过滤存库，后台刷新并通过 EventSource 推送。 Co-authored-by: Cursor <cursoragent@cursor.com>
67 lines
2.2 KiB
Python
67 lines
2.2 KiB
Python
"""品种推荐：计算、按资金过滤、SQLite 缓存。"""
|
|
from __future__ import annotations
|
|
|
|
import json
|
|
from datetime import datetime
|
|
from typing import Callable, Optional
|
|
|
|
from product_recommend import list_product_recommendations
|
|
|
|
RECOMMEND_CACHE_SQL = """
|
|
CREATE TABLE IF NOT EXISTS product_recommend_cache (
|
|
id INTEGER PRIMARY KEY CHECK (id = 1),
|
|
capital REAL NOT NULL DEFAULT 0,
|
|
rows_json TEXT NOT NULL DEFAULT '[]',
|
|
updated_at TEXT
|
|
)
|
|
"""
|
|
|
|
|
|
def ensure_recommend_tables(conn) -> None:
|
|
conn.execute(RECOMMEND_CACHE_SQL)
|
|
|
|
|
|
def filter_affordable_recommendations(rows: list[dict]) -> list[dict]:
|
|
"""仅保留当前资金可开 1 手的品种（不含资金不足、无行情）。"""
|
|
return [r for r in rows if r.get("status") in ("ok", "margin_ok")]
|
|
|
|
|
|
def refresh_recommend_cache(
|
|
conn,
|
|
capital: float,
|
|
price_fn: Callable[[str], Optional[float]],
|
|
) -> list[dict]:
|
|
"""后台拉行情、筛选并写入数据库。"""
|
|
ensure_recommend_tables(conn)
|
|
all_rows = list_product_recommendations(capital, price_fn)
|
|
rows = filter_affordable_recommendations(all_rows)
|
|
now = datetime.now().strftime("%Y-%m-%d %H:%M:%S")
|
|
conn.execute(
|
|
"""INSERT INTO product_recommend_cache (id, capital, rows_json, updated_at)
|
|
VALUES (1, ?, ?, ?)
|
|
ON CONFLICT(id) DO UPDATE SET
|
|
capital=excluded.capital,
|
|
rows_json=excluded.rows_json,
|
|
updated_at=excluded.updated_at""",
|
|
(float(capital or 0), json.dumps(rows, ensure_ascii=False), now),
|
|
)
|
|
conn.commit()
|
|
return rows
|
|
|
|
|
|
def load_recommend_cache(conn) -> dict:
|
|
"""优先从数据库读取推荐列表。"""
|
|
ensure_recommend_tables(conn)
|
|
row = conn.execute("SELECT capital, rows_json, updated_at FROM product_recommend_cache WHERE id=1").fetchone()
|
|
if not row:
|
|
return {"capital": 0.0, "rows": [], "updated_at": None}
|
|
try:
|
|
rows = json.loads(row["rows_json"] or "[]")
|
|
except (TypeError, ValueError, json.JSONDecodeError):
|
|
rows = []
|
|
return {
|
|
"capital": float(row["capital"] or 0),
|
|
"rows": rows if isinstance(rows, list) else [],
|
|
"updated_at": row["updated_at"],
|
|
}
|