Initial standalone crypto_okx with one-click deploy.

Add deploy/manage.sh bootstrap for git.bz121.com/dekun/crypto_okx and point docs at this repo.

Co-authored-by: Cursor <cursoragent@cursor.com>

lib/instance/instance_embed_context_lib.py

@@ -0,0 +1,194 @@
+"""embed 壳/片段:按 tab 裁剪 render_main_page 的数据加载,降内存与 API 压力."""
+
+from __future__ import annotations
+
+import os
+from dataclasses import dataclass
+from typing import Any
+
+EMBED_STRATEGY_PAGES = frozenset()
+
+_WIN_EPS = 1e-9
+
+
+def env_truthy(raw: str | None, default: bool = False) -> bool:
+    if raw is None or str(raw).strip() == "":
+        return default
+    return str(raw).strip().lower() in ("1", "true", "yes", "on")
+
+
+def show_perp_funds_enabled(*, exchange_key: str | None = None) -> bool:
+    """OKX:是否在顶栏显示永续资金账户/交易账户.其他所恒为 True."""
+    ex = (exchange_key or "").strip().lower()
+    if ex and ex != "okx":
+        return True
+    return env_truthy(os.getenv("OKX_SHOW_PERP_FUNDS"), default=True)
+
+
+@dataclass(frozen=True)
+class EmbedRenderPlan:
+    exchange_capitals: bool
+    records_rows: bool
+    records_summary: bool
+    key_history: bool
+    key_list: bool
+    orders: bool
+    stats_bundle: bool
+    strategy: bool
+    orphan_live: bool
+
+
+def embed_render_plan(page: str, embed_mode: str | None) -> EmbedRenderPlan:
+    if embed_mode not in ("fragment", "shell"):
+        return EmbedRenderPlan(
+            exchange_capitals=True,
+            records_rows=True,
+            records_summary=False,
+            key_history=True,
+            key_list=True,
+            orders=True,
+            stats_bundle=True,
+            strategy=True,
+            orphan_live=True,
+        )
+    is_shell = embed_mode == "shell"
+    is_strategy = page in EMBED_STRATEGY_PAGES
+    return EmbedRenderPlan(
+        exchange_capitals=is_shell,
+        records_rows=False,  # 永续交易记录页已移除
+        # 顶栏常驻:设置/风控/env 也要统计,否则首屏 SSR 为 0 后软切 tab 不会重绘顶栏
+        records_summary=False,
+        key_history=page == "key_monitor",
+        key_list=page == "key_monitor" or is_strategy,
+        orders=False,  # 实盘下单界面已移除;对冲永续下单不依赖本页数据
+        stats_bundle=False,
+        strategy=is_strategy,
+        orphan_live=False,
+    )
+
+
+def profit_loss_ratio_from_averages(avg_win: float | None, avg_loss: float | None) -> float | None:
+    """盈亏比 = 平均盈利 / |平均亏损|."""
+    if avg_win is None or avg_loss is None:
+        return None
+    try:
+        aw = float(avg_win)
+        al = float(avg_loss)
+    except (TypeError, ValueError):
+        return None
+    if al == 0:
+        return None
+    return round(aw / abs(al), 2)
+
+
+def profit_loss_ratio_from_trades(trades: list[dict[str, Any]] | None) -> float | None:
+    wins: list[float] = []
+    losses: list[float] = []
+    for row in trades or []:
+        if not isinstance(row, dict):
+            continue
+        try:
+            pnl = float(row.get("effective_pnl_amount") or row.get("pnl_amount") or 0)
+        except (TypeError, ValueError):
+            continue
+        if pnl > _WIN_EPS:
+            wins.append(pnl)
+        elif pnl < -_WIN_EPS:
+            losses.append(pnl)
+    avg_win = sum(wins) / len(wins) if wins else None
+    avg_loss = sum(losses) / len(losses) if losses else None
+    return profit_loss_ratio_from_averages(avg_win, avg_loss)
+
+
+def options_funding_label(
+    funding_usdc: float | None,
+    funding_usdt: float | None = None,
+) -> str:
+    """期权侧顶栏仅展示 USDC(USDT 归永续资金/交易账户).funding_usdt 参数保留兼容,忽略."""
+    _ = funding_usdt
+    if funding_usdc is None:
+        return "—"
+    try:
+        return f"{float(funding_usdc):.2f} USDC"
+    except (TypeError, ValueError):
+        return "—"
+
+
+def total_funds_usdt(
+    funding_usdt: float | None,
+    trading_usdt: float | None,
+    options_trading_usdc: float | None = None,
+    options_funding_usdc: float | None = None,
+    options_funding_usdt: float | None = None,
+    options_trading_usdt: float | None = None,
+) -> float | None:
+    parts = [
+        funding_usdt,
+        trading_usdt,
+        options_funding_usdc,
+        options_funding_usdt,
+        options_trading_usdc,
+        options_trading_usdt,
+    ]
+    if all(v is None for v in parts):
+        return None
+    try:
+        total = 0.0
+        for v in parts:
+            if v is not None:
+                total += float(v)
+        return round(total, 2)
+    except (TypeError, ValueError):
+        return None
+
+
+def trade_records_summary(conn, start_bj: str, end_bj: str, tr_ts: str) -> dict[str, Any]:
+    """顶栏统计用 COUNT,避免 embed 壳拉 1000 行交易记录."""
+    from lib.trade.trade_result_lib import sql_effective_pnl_expr
+
+    pnl_sql = sql_effective_pnl_expr()
+    row = conn.execute(
+        f"""
+        SELECT
+            COUNT(*) AS total,
+            SUM(CASE WHEN {pnl_sql} > 0 THEN 1 ELSE 0 END) AS wins,
+            AVG(CASE WHEN {pnl_sql} > 0 THEN {pnl_sql} END) AS avg_win,
+            AVG(CASE WHEN {pnl_sql} < 0 THEN {pnl_sql} END) AS avg_loss
+        FROM trade_records
+        WHERE {tr_ts} >= ? AND {tr_ts} <= ?
+          AND COALESCE(result, '') != '错过'
+          AND COALESCE(reviewed_result, '') != '错过'
+        """,
+        (start_bj, end_bj),
+    ).fetchone()
+    total = int(row["total"] or 0) if row else 0
+    wins = int(row["wins"] or 0) if row else 0
+    rate = round(wins / total * 100, 2) if total else 0
+    avg_win = float(row["avg_win"]) if row and row["avg_win"] is not None else None
+    avg_loss = float(row["avg_loss"]) if row and row["avg_loss"] is not None else None
+    return {
+        "records": [],
+        "total": total,
+        "rate": rate,
+        "profit_loss_ratio": profit_loss_ratio_from_averages(avg_win, avg_loss),
+    }
+
+
+def header_trade_stats_for_window(conn, list_window: dict[str, Any], app_tz) -> dict[str, Any]:
+    """account_snapshot / 顶栏刷新:按当前列表窗返回总交易/胜率/盈亏比."""
+    from lib.common.history_window_lib import sql_list_time_field, utc_window_to_bj_sql_strings
+
+    start_bj, end_bj = utc_window_to_bj_sql_strings(
+        list_window["start_utc"], list_window["end_utc"], app_tz
+    )
+    tr_ts = sql_list_time_field("closed_at", "created_at", "opened_at")
+    summary = trade_records_summary(conn, start_bj, end_bj, tr_ts)
+    return {
+        "total": summary["total"],
+        "rate": summary["rate"],
+        "profit_loss_ratio": summary.get("profit_loss_ratio"),
+    }
+
+
+def minimal_stats_bundle(reset_hour: int) -> dict[str, Any]:
+    return {"stats_reset_hour": reset_hour, "segments": []}