buckybonezandClaude Opus 4.6
d93d790428
- Dark mode: class-based theme toggle with localStorage persistence and flash prevention - Trade History (/trades): paginated table, stats cards, equity curve chart with DB API endpoints - Backtest Viewer (/backtests): log parser for 35 backtest results, sidebar + detail + comparison tabs - Model Insights: dashboard card + dialog showing feature importance, regime distribution, training history - Alert/Signal Log (/alerts): signal stats, filterable table with execution tracking - API: 8 new endpoints with psycopg2 DB connection pool - Dark mode sweep across books page, about dialog, and all dashboard components - Architecture docs rewritten with Mermaid diagrams (23 docs) - README and FEATURES.md rewritten bilingual (Indonesian + English) - main_live.py: write model_metrics.json on startup and retrain Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
80 lines
1.9 KiB
TypeScript
80 lines
1.9 KiB
TypeScript
"use client";
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import { useState, useEffect } from "react";
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const API_URL = process.env.NEXT_PUBLIC_API_URL || "http://localhost:8000";
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export interface FeatureImportance {
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name: string;
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importance: number;
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}
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export interface ModelMetrics {
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featureImportance: FeatureImportance[];
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trainAuc: number;
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testAuc: number;
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sampleCount: number;
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updatedAt: string | null;
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}
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export interface TrainingRun {
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id: number;
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started_at: string;
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completed_at: string;
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train_auc: number;
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test_auc: number;
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sample_count: number;
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features_used: number;
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trigger_reason: string;
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}
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export interface RegimeDistribution {
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regime: string;
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count: number;
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}
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export function useModelMetrics() {
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const [metrics, setMetrics] = useState<ModelMetrics | null>(null);
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const [loading, setLoading] = useState(true);
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useEffect(() => {
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fetch(`${API_URL}/api/model/metrics`)
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.then((r) => r.json())
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.then(setMetrics)
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.catch(() => setMetrics(null))
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.finally(() => setLoading(false));
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}, []);
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return { metrics, loading };
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}
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export function useTrainingHistory() {
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const [runs, setRuns] = useState<TrainingRun[]>([]);
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const [loading, setLoading] = useState(true);
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useEffect(() => {
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fetch(`${API_URL}/api/model/training-history`)
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.then((r) => r.json())
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.then((data) => setRuns(data.runs || []))
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.catch(() => setRuns([]))
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.finally(() => setLoading(false));
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}, []);
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return { runs, loading };
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}
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export function useRegimeDistribution() {
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const [distribution, setDistribution] = useState<RegimeDistribution[]>([]);
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const [loading, setLoading] = useState(true);
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useEffect(() => {
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fetch(`${API_URL}/api/model/regime-distribution`)
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.then((r) => r.json())
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.then((data) => setDistribution(data.distribution || []))
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.catch(() => setDistribution([]))
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.finally(() => setLoading(false));
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}, []);
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return { distribution, loading };
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}
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