dekun
4742a0bb9d
删除日历 UI、bootstrap 与 /api/stats/calendar 注册；保留日/周/月统计表。内照明心档案日历不受影响。 Co-authored-by: Cursor <cursoragent@cursor.com>
85 lines
2.8 KiB
Python
85 lines
2.8 KiB
Python
"""embed 壳/片段：按 tab 裁剪 render_main_page 的数据加载，降内存与 API 压力。"""
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from __future__ import annotations
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from dataclasses import dataclass
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from typing import Any
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EMBED_STRATEGY_PAGES = frozenset({"strategy", "strategy_trend", "strategy_roll", "strategy_records"})
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@dataclass(frozen=True)
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class EmbedRenderPlan:
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exchange_capitals: bool
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records_rows: bool
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records_summary: bool
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key_history: bool
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key_list: bool
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orders: bool
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stats_bundle: bool
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strategy: bool
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orphan_live: bool
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def embed_render_plan(page: str, embed_mode: str | None) -> EmbedRenderPlan:
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if embed_mode not in ("fragment", "shell"):
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return EmbedRenderPlan(
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exchange_capitals=True,
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records_rows=True,
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records_summary=False,
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key_history=True,
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key_list=True,
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orders=True,
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stats_bundle=True,
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strategy=True,
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orphan_live=True,
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)
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is_shell = embed_mode == "shell"
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is_strategy = page in EMBED_STRATEGY_PAGES
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return EmbedRenderPlan(
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exchange_capitals=is_shell,
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records_rows=page == "records",
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records_summary=is_shell and page != "records",
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key_history=page == "key_monitor",
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key_list=page in ("key_monitor", "trade") or is_strategy,
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orders=page == "trade" or is_strategy,
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stats_bundle=page == "stats",
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strategy=is_strategy,
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orphan_live=page == "trade" and is_shell,
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)
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def trade_records_summary(conn, start_bj: str, end_bj: str, tr_ts: str) -> dict[str, Any]:
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"""顶栏统计用 COUNT，避免 embed 壳拉 1000 行交易记录。"""
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from trade_result_lib import sql_effective_pnl_expr
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pnl_sql = sql_effective_pnl_expr()
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row = conn.execute(
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f"""
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SELECT
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COUNT(*) AS total,
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SUM(CASE WHEN result = '错过' THEN 1 ELSE 0 END) AS miss_count,
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SUM(CASE WHEN {pnl_sql} > 0 THEN 1 ELSE 0 END) AS wins,
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SUM(CASE WHEN result = '错过' AND COALESCE(miss_reason,'') LIKE '%持仓占用%' THEN 1 ELSE 0 END) AS occupied_miss
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FROM trade_records
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WHERE {tr_ts} >= ? AND {tr_ts} <= ?
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""",
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(start_bj, end_bj),
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).fetchone()
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total = int(row["total"] or 0) if row else 0
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miss_count = int(row["miss_count"] or 0) if row else 0
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wins = int(row["wins"] or 0) if row else 0
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occupied_miss_total = int(row["occupied_miss"] or 0) if row else 0
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rate = round(wins / total * 100, 2) if total else 0
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return {
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"records": [],
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"total": total,
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"miss_count": miss_count,
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"rate": rate,
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"occupied_miss_total": occupied_miss_total,
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}
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def minimal_stats_bundle(reset_hour: int) -> dict[str, Any]:
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return {"stats_reset_hour": reset_hour, "segments": []}
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