feat(strategy_pythagoras): NiceGUI dashboard with 4 tabs (Genomes/Patterns/Ratios/Invariance)
This commit is contained in:
Adriano Dal Pastro
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"""Strategy Pythagoras Dashboard — paper-trading + GA winners page: /.
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Avvio: ``uv run python -m strategy_pythagoras.frontend.nicegui_app``
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Default port 8080. Legge il paper DB (``strategy_pythagoras_paper.db``) per il
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tab ``Paper`` e il GA DB (``strategy_pythagoras.db``) per i tab pythagoras-specifici
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(Genomes / Patterns / Ratios / Invariance).
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Palette "Neon Trading Dashboard" (ispirata screenshot 2026-05-11):
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- BG: #0A0A0F (near-black con tinge blu)
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- Surface: #13131A (card base)
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- Surface elevata: #1C1C26 (hover/active)
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- Primary pink: #FF2D87 (highlight key metrics, max fitness)
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- Secondary cyan: #00D9FF (median, secondary curves)
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- Accent amber: #FFB800 (warnings, p90)
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- Success neon green: #00E676, Danger neon red: #FF3D60
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- Text: #FFFFFF (primary), #7A7A8C (muted)
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"""
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from __future__ import annotations
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import os
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from pathlib import Path
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from typing import Any
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import pandas as pd # type: ignore[import-untyped]
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import plotly.graph_objects as go # type: ignore[import-untyped]
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from nicegui import app, ui
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from strategy_pythagoras.frontend.data import (
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load_candle_pattern_usage,
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load_invariance_metrics,
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paper_equity_df,
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paper_positions_df,
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paper_run_summary,
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paper_runs_df,
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paper_ticks_df,
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paper_trades_df,
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)
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from multi_swarm_core.dashboard.theme import (
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COLOR_PRIMARY,
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COLOR_SURFACE,
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COLOR_SURFACE_2,
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COLOR_TEXT,
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COLOR_TEXT_MUTED,
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_STATUS_BADGE,
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_apply_theme,
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_build_header,
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)
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PAPER_DB_PATH = os.environ.get(
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"STRATEGY_PYTHAGORAS_PAPER_DB_PATH", "./state/strategy_pythagoras_paper.db"
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)
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GA_DB_PATH = os.environ.get(
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"STRATEGY_PYTHAGORAS_DB_PATH", "./state/strategy_pythagoras.db"
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)
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DASHBOARD_ROOT_PATH = os.environ.get("DASHBOARD_ROOT_PATH", "/strategy_pythagoras_gui")
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REFRESH_INTERVAL_S = 3.0
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def _paper_runs_options(only_running: bool = False) -> dict[str, str]:
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try:
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runs = paper_runs_df(PAPER_DB_PATH)
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except Exception:
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return {}
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if runs.empty:
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return {}
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if only_running:
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runs = runs[runs["status"] == "running"]
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if runs.empty:
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return {}
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return {
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row["id"]: f"{row['name']} — {row['status']} ({row['started_at'][:16]})"
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for _, row in runs.iterrows()
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}
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def _paper_equity_figure(eq_df: Any, initial_capital: float) -> go.Figure:
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fig = go.Figure()
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if eq_df is not None and not eq_df.empty:
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ts = pd.to_datetime(eq_df["ts"])
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fig.add_trace(
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go.Scatter(
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x=ts,
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y=eq_df["equity"],
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mode="lines",
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line={"color": COLOR_PRIMARY, "width": 2},
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name="equity",
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)
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)
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fig.add_hline(
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y=initial_capital,
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line={"color": COLOR_TEXT_MUTED, "width": 1, "dash": "dash"},
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annotation_text=f"initial ${initial_capital:.0f}",
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annotation_position="bottom right",
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annotation_font_color=COLOR_TEXT_MUTED,
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)
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fig.update_layout(
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title=None,
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paper_bgcolor=COLOR_SURFACE,
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plot_bgcolor=COLOR_SURFACE,
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font={"color": COLOR_TEXT, "family": "Inter"},
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xaxis={"gridcolor": COLOR_SURFACE_2, "title": None},
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yaxis={"gridcolor": COLOR_SURFACE_2, "title": "Equity ($)"},
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margin={"l": 60, "r": 20, "t": 10, "b": 40},
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height=320,
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showlegend=False,
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)
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return fig
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def _render_paper_panel() -> None:
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"""Rende il pannello paper-trading (equivalente alla pagina root di strategy_crypto)."""
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options = _paper_runs_options()
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if not options:
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ui.label("Nessuna paper-trading run nel database.").classes("text-h6 text-warning")
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ui.label(
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"Avvia un paper run per popolare strategy_pythagoras_paper.db."
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).classes("text-caption")
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return
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state: dict[str, Any] = {"run_id": next(iter(options))}
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with ui.row().classes("w-full items-center gap-4 q-mb-md"):
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select = ui.select(options=options, value=state["run_id"], label="Paper run").classes(
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"flex-grow"
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)
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status_badge = ui.badge("…", color="primary").classes("text-body1 q-pa-sm")
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ui.button("🔄 Refresh", on_click=lambda: refresh()).props("outline color=primary")
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with ui.row().classes("w-full gap-4"):
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with ui.card().classes("flex-grow metric-card accent-cyan"):
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ui.label("Equity").classes("text-caption")
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equity_lbl = ui.label("—").classes("text-h4")
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with ui.card().classes("flex-grow metric-card accent-purple"):
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ui.label("P/L cumulato").classes("text-caption")
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pnl_lbl = ui.label("—").classes("text-h4")
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with ui.card().classes("flex-grow metric-card accent-amber"):
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ui.label("Trades chiusi").classes("text-caption")
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trades_lbl = ui.label("—").classes("text-h4")
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with ui.card().classes("flex-grow metric-card accent-green"):
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ui.label("Open / Tick").classes("text-caption")
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ticks_lbl = ui.label("—").classes("text-h4")
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with ui.row().classes("w-full gap-4 q-mt-md"):
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started_lbl = ui.label("Started: —")
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last_tick_lbl = ui.label("Last tick: —")
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cash_lbl = ui.label("Cash: —")
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ui.separator()
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ui.label("Equity curve").classes("text-subtitle1 q-mt-md")
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equity_plot = ui.plotly(_paper_equity_figure(None, 0.0)).classes("w-full")
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ui.separator()
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ui.label("Open positions").classes("text-subtitle1 q-mt-md")
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positions_table = ui.table(
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columns=[
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{"name": "symbol", "label": "symbol", "field": "symbol"},
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{"name": "side", "label": "side", "field": "side"},
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{"name": "qty", "label": "qty", "field": "qty"},
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{"name": "entry_price", "label": "entry", "field": "entry_price"},
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{"name": "entry_ts", "label": "entry ts", "field": "entry_ts"},
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],
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rows=[],
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row_key="symbol",
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).classes("w-full")
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ui.separator()
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ui.label("Ultimi 30 tick").classes("text-subtitle1 q-mt-md")
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ticks_table = ui.table(
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columns=[
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{"name": "ts", "label": "ts", "field": "ts"},
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{"name": "symbol", "label": "symbol", "field": "symbol"},
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{"name": "bar_ts", "label": "bar", "field": "bar_ts"},
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{"name": "close_price", "label": "close", "field": "close_price"},
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{"name": "signal", "label": "signal", "field": "signal"},
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{"name": "action_taken", "label": "action", "field": "action_taken"},
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],
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rows=[],
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row_key="ts",
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).classes("w-full")
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ui.separator()
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ui.label("Trades chiusi (ultimi 50)").classes("text-subtitle1 q-mt-md")
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trades_table = ui.table(
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columns=[
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{"name": "exit_ts", "label": "exit ts", "field": "exit_ts"},
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{"name": "symbol", "label": "symbol", "field": "symbol"},
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{"name": "side", "label": "side", "field": "side"},
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{"name": "qty", "label": "qty", "field": "qty"},
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{"name": "entry_price", "label": "entry", "field": "entry_price"},
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{"name": "exit_price", "label": "exit", "field": "exit_price"},
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{"name": "pnl", "label": "pnl", "field": "pnl"},
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{"name": "fees", "label": "fees", "field": "fees"},
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],
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rows=[],
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row_key="exit_ts",
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).classes("w-full")
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def refresh() -> None:
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run_id = select.value
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if not run_id:
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return
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try:
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summary = paper_run_summary(PAPER_DB_PATH, run_id)
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eq = paper_equity_df(PAPER_DB_PATH, run_id)
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positions = paper_positions_df(PAPER_DB_PATH, run_id)
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ticks = paper_ticks_df(PAPER_DB_PATH, run_id, limit=30)
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trades = paper_trades_df(PAPER_DB_PATH, run_id, limit=50)
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except Exception as e: # noqa: BLE001
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ui.notify(f"Errore: {e}", type="negative")
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return
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text, color = _STATUS_BADGE.get(summary["status"], (summary["status"], "primary"))
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status_badge.text = text
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status_badge.props(f"color={color}")
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equity_lbl.text = f"${summary['current_equity']:.2f}"
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pnl_lbl.text = f"{summary['pnl_pct']:+.2f}%"
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trades_lbl.text = str(summary["n_trades"])
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ticks_lbl.text = f"{summary['n_open_positions']} / {summary['n_ticks']}"
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started_lbl.text = f"Started: {summary['started_at']}"
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last_tick_lbl.text = f"Last tick: {summary['last_tick_ts'] or '—'}"
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cash_lbl.text = (
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f"Cash: ${summary['current_cash']:.2f} | "
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f"Pos value: ${summary['current_positions_value']:.2f}"
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)
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equity_plot.update_figure(_paper_equity_figure(eq, summary["initial_capital"]))
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positions_table.rows = (
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[
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{col: (round(v, 6) if isinstance(v, float) else v) for col, v in row.items()}
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for _, row in positions.iterrows()
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]
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if not positions.empty
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else []
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)
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positions_table.update()
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ticks_table.rows = (
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[
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{col: (round(v, 6) if isinstance(v, float) else v) for col, v in row.items()}
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for _, row in ticks.iterrows()
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]
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if not ticks.empty
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else []
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)
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ticks_table.update()
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trades_table.rows = (
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[
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{col: (round(v, 6) if isinstance(v, float) else v) for col, v in row.items()}
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for _, row in trades.iterrows()
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]
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if not trades.empty
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else []
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)
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trades_table.update()
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def on_select_change() -> None:
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state["run_id"] = select.value
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refresh()
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select.on_value_change(on_select_change)
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ui.timer(REFRESH_INTERVAL_S, refresh)
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refresh()
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@ui.page("/")
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def index() -> None:
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_apply_theme()
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_build_header(
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active="/",
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brand_subtitle="Strategy Pythagoras",
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nav_items=[("/", "Dashboard")],
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db_label=f"⛁ {Path(GA_DB_PATH).resolve().name}",
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)
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with ui.tabs() as tabs:
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t_genomes = ui.tab("Genomes")
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t_patterns = ui.tab("Patterns")
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t_ratios = ui.tab("Ratios")
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t_invariance = ui.tab("Invariance")
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t_paper = ui.tab("Paper")
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with ui.tab_panels(tabs, value=t_genomes).classes("w-full"):
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with ui.tab_panel(t_genomes):
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ui.label("GA Winners (post pythagoras-smoke-001)").classes("text-h6")
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try:
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df = load_invariance_metrics(GA_DB_PATH)
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if df.empty:
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ui.label(
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"No winners yet. Run scripts/run_pythagoras_smoke.py first."
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).classes("text-warning")
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else:
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ui.table(
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rows=df.to_dict("records"),
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columns=[
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{"name": "genome_id", "label": "Genome ID", "field": "genome_id"},
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{
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"name": "cognitive_style",
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"label": "Style",
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"field": "cognitive_style",
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},
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{"name": "fitness", "label": "Fitness", "field": "fitness"},
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{"name": "sharpe_btc", "label": "Sharpe BTC", "field": "sharpe_btc"},
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{"name": "sharpe_eth", "label": "Sharpe ETH", "field": "sharpe_eth"},
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{
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"name": "invariance_score",
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"label": "Invariance",
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"field": "invariance_score",
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},
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],
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pagination=10,
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).classes("w-full")
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except Exception as e: # noqa: BLE001
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ui.label(f"DB not ready: {e}").classes("text-warning")
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with ui.tab_panel(t_patterns):
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ui.label(
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"Candle pattern sequences emerged (per cognitive style)"
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).classes("text-h6")
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try:
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df_pat = load_candle_pattern_usage(GA_DB_PATH)
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if df_pat.empty:
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ui.label(
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"No patterns yet. Run scripts/run_pythagoras_smoke.py first."
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).classes("text-warning")
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else:
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grouped = (
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df_pat.groupby(["cognitive_style", "sequence"])
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.size()
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.reset_index(name="count")
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)
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grouped = grouped.sort_values("count", ascending=False).head(50)
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ui.table(
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rows=grouped.to_dict("records"),
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columns=[
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{
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"name": "cognitive_style",
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"label": "Style",
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"field": "cognitive_style",
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},
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{
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"name": "sequence",
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"label": "Sequence (U/D/0)",
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"field": "sequence",
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},
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{"name": "count", "label": "Count", "field": "count"},
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],
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pagination=15,
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).classes("w-full")
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||||||
|
except Exception as e: # noqa: BLE001
|
||||||
|
ui.label(f"DB not ready: {e}").classes("text-warning")
|
||||||
|
|
||||||
|
with ui.tab_panel(t_ratios):
|
||||||
|
ui.label(
|
||||||
|
"Pythagorean ratio literals — distance from universal constants"
|
||||||
|
).classes("text-h6")
|
||||||
|
try:
|
||||||
|
df = load_invariance_metrics(GA_DB_PATH)
|
||||||
|
if df.empty:
|
||||||
|
ui.label("No winners yet.").classes("text-warning")
|
||||||
|
else:
|
||||||
|
ui.label(f"Total winners: {len(df)}").classes("text-body2")
|
||||||
|
ui.label(
|
||||||
|
"(Ratio literal histogram available after GA run produces "
|
||||||
|
"pythagorean_ratio entries.)"
|
||||||
|
).classes("text-caption")
|
||||||
|
except Exception as e: # noqa: BLE001
|
||||||
|
ui.label(f"DB not ready: {e}").classes("text-warning")
|
||||||
|
|
||||||
|
with ui.tab_panel(t_invariance):
|
||||||
|
ui.label(
|
||||||
|
"Cross-asset invariance: Sharpe BTC vs Sharpe ETH"
|
||||||
|
).classes("text-h6")
|
||||||
|
try:
|
||||||
|
df = load_invariance_metrics(GA_DB_PATH)
|
||||||
|
if df.empty:
|
||||||
|
ui.label("No winners yet.").classes("text-warning")
|
||||||
|
else:
|
||||||
|
import plotly.express as px # type: ignore[import-untyped]
|
||||||
|
|
||||||
|
fig = px.scatter(
|
||||||
|
df,
|
||||||
|
x="sharpe_btc",
|
||||||
|
y="sharpe_eth",
|
||||||
|
color="invariance_score",
|
||||||
|
hover_data=["genome_id", "cognitive_style", "fitness"],
|
||||||
|
title="Sharpe BTC vs Sharpe ETH (color = invariance_score)",
|
||||||
|
)
|
||||||
|
ui.plotly(fig).classes("w-full")
|
||||||
|
except Exception as e: # noqa: BLE001
|
||||||
|
ui.label(f"DB not ready: {e}").classes("text-warning")
|
||||||
|
|
||||||
|
with ui.tab_panel(t_paper):
|
||||||
|
_render_paper_panel()
|
||||||
|
|
||||||
|
|
||||||
|
def main() -> None:
|
||||||
|
app.on_startup(
|
||||||
|
lambda: print(
|
||||||
|
f"GA DB: {Path(GA_DB_PATH).resolve()} | "
|
||||||
|
f"Paper DB: {Path(PAPER_DB_PATH).resolve()} | "
|
||||||
|
f"root_path: {DASHBOARD_ROOT_PATH or '/'}"
|
||||||
|
)
|
||||||
|
)
|
||||||
|
ui.run(
|
||||||
|
host="0.0.0.0",
|
||||||
|
port=int(os.environ.get("SWARM_DASHBOARD_PORT", "8080")),
|
||||||
|
title="Strategy Pythagoras Dashboard",
|
||||||
|
reload=False,
|
||||||
|
show=False,
|
||||||
|
dark=True,
|
||||||
|
root_path=DASHBOARD_ROOT_PATH,
|
||||||
|
)
|
||||||
|
|
||||||
|
|
||||||
|
if __name__ in {"__main__", "__mp_main__"}:
|
||||||
|
main()
|
||||||
Reference in New Issue
Block a user