feat: implement PolyWeather dashboard with map UI, data collection, analysis, and comprehensive documentation.
This commit is contained in:
2569718930@qq.com
@@ -33,7 +33,7 @@
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/* Spacing */
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--panel-width: 560px;
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--header-height: 56px;
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--sidebar-width: 280px;
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--sidebar-width: 260px;
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/* Effects */
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--glass-blur: 20px;
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@@ -328,6 +328,7 @@
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}
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.root :global(.city-item) {
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width: 100%;
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display: flex;
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flex-direction: column;
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gap: 4px;
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@@ -336,6 +337,10 @@
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cursor: pointer;
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transition: var(--transition);
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border: 1px solid transparent;
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background: transparent;
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color: inherit;
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font-family: inherit;
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text-align: left;
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}
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.root :global(.city-item:hover) {
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background: rgba(99, 102, 241, 0.08);
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@@ -722,6 +727,29 @@
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background: rgba(99, 102, 241, 0.15);
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}
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.root :global(.prob-market-inline) {
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min-width: 120px;
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text-align: right;
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font-size: 12px;
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font-weight: 700;
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border-radius: 999px;
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padding: 4px 10px;
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letter-spacing: 0.02em;
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font-variant-numeric: tabular-nums;
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}
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.root :global(.prob-market-inline.yes) {
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color: #4ade80;
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background: rgba(74, 222, 128, 0.12);
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border: 1px solid rgba(74, 222, 128, 0.3);
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}
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.root :global(.prob-market-inline.no) {
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color: #fb7185;
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background: rgba(251, 113, 133, 0.12);
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border: 1px solid rgba(251, 113, 133, 0.26);
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}
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/* ── Model Bars ── */
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.root :global(.model-bars) {
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display: flex;
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@@ -1386,6 +1414,41 @@
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color: var(--text-primary);
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margin: 0;
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}
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.root :global(.future-modal-title-with-actions) {
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display: flex;
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align-items: center;
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gap: 12px;
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}
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.root :global(.future-refresh-btn) {
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background: transparent;
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border: none;
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cursor: pointer;
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color: var(--text-muted);
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display: flex;
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align-items: center;
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justify-content: center;
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padding: 6px;
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border-radius: 6px;
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transition: all 0.2s ease;
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}
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.root :global(.future-refresh-btn:hover) {
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color: var(--accent-cyan);
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background: rgba(34, 211, 238, 0.1);
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}
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.root :global(.future-refresh-btn.spinning svg) {
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animation: spin 1s linear infinite;
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color: var(--accent-cyan);
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}
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@keyframes spin {
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100% {
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transform: rotate(360deg);
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}
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}
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.root :global(.modal-close) {
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background: none;
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border: none;
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@@ -1435,6 +1498,14 @@
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color: var(--text-primary);
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}
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.root :global(.h-stat-card .h-stat-note) {
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display: block;
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margin-top: 6px;
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font-size: 11px;
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color: var(--text-muted);
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line-height: 1.35;
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}
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.root :global(.history-chart-wrapper) {
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position: relative;
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height: 300px;
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@@ -1551,6 +1622,301 @@
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padding-right: 14px;
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}
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.root :global(.future-v2-layout) {
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display: grid;
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grid-template-columns: 360px minmax(0, 1fr);
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gap: 14px;
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align-items: start;
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}
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.root :global(.future-v2-left) {
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display: grid;
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gap: 12px;
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}
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.root :global(.future-v2-right) {
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display: grid;
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gap: 14px;
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}
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.root :global(.future-v2-card) {
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background: rgba(255, 255, 255, 0.02);
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border: 1px solid var(--border-subtle);
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border-radius: 14px;
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padding: 14px;
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}
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.root :global(.future-v2-hero-card) {
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background: linear-gradient(
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180deg,
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rgba(99, 102, 241, 0.12) 0%,
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rgba(255, 255, 255, 0.02) 100%
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);
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}
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.root :global(.future-v2-hero-title) {
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margin: 0;
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font-size: 18px;
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font-weight: 700;
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color: var(--text-primary);
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letter-spacing: -0.01em;
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}
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.root :global(.future-v2-hero-main) {
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display: flex;
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align-items: center;
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gap: 14px;
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margin-top: 14px;
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}
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.root :global(.future-v2-hero-temp) {
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font-size: 56px;
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font-weight: 800;
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letter-spacing: -0.04em;
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line-height: 1;
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color: #f8fafc;
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text-shadow: 0 10px 30px rgba(34, 211, 238, 0.14);
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}
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.root :global(.future-v2-hero-divider) {
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width: 1px;
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height: 56px;
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background: rgba(255, 255, 255, 0.12);
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}
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.root :global(.future-v2-hero-weather) {
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display: grid;
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gap: 4px;
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font-size: 15px;
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color: var(--text-secondary);
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}
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.root :global(.future-v2-hero-icon) {
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display: inline-flex;
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align-items: center;
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line-height: 1;
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}
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.root :global(.future-v2-hero-obs) {
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margin-top: 10px;
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color: var(--text-secondary);
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font-size: 26px;
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font-weight: 500;
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font-variant-numeric: tabular-nums;
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}
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.root :global(.future-v2-mini-grid) {
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margin-top: 14px;
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display: grid;
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grid-template-columns: repeat(2, minmax(0, 1fr));
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gap: 10px;
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}
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.root :global(.future-v2-mini-grid.future-v2-mini-grid-tight) {
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margin-top: 8px;
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}
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.root :global(.future-v2-mini-item) {
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border-radius: 10px;
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border: 1px solid var(--border-subtle);
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background: rgba(255, 255, 255, 0.025);
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padding: 10px;
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display: grid;
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gap: 4px;
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}
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.root :global(.future-v2-mini-item span) {
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color: var(--text-muted);
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font-size: 11px;
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}
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.root :global(.future-v2-mini-item strong) {
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color: var(--text-primary);
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font-size: 23px;
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line-height: 1.15;
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font-weight: 700;
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}
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.root :global(.future-v2-card-title) {
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margin: 0;
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color: var(--text-primary);
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font-size: 13px;
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font-weight: 700;
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letter-spacing: 0.02em;
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}
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.root :global(.future-v2-market-v3) {
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margin-top: 16px;
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display: flex;
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flex-direction: column;
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gap: 16px;
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position: relative;
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}
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.root :global(.market-layer-loading-overlay) {
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position: absolute;
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top: 0;
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left: 0;
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right: 0;
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bottom: 0;
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background: rgba(15, 23, 42, 0.6);
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backdrop-filter: blur(2px);
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z-index: 10;
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display: flex;
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flex-direction: column;
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align-items: center;
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justify-content: center;
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border-radius: 8px;
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color: var(--accent-cyan);
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font-size: 13px;
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font-weight: 500;
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}
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.root :global(.market-sub-title) {
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color: var(--text-secondary);
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font-size: 11px;
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text-transform: uppercase;
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letter-spacing: 0.05em;
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margin-bottom: 8px;
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font-weight: 600;
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}
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.root :global(.market-layer-target) {
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background: rgba(34, 211, 238, 0.04);
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border: 1px solid rgba(34, 211, 238, 0.15);
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border-radius: 8px;
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padding: 12px;
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}
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.root :global(.market-target-header) {
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display: flex;
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justify-content: space-between;
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align-items: center;
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margin-bottom: 12px;
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font-size: 13px;
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color: var(--text-secondary);
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}
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.root :global(.market-target-bucket) {
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font-size: 16px;
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color: var(--text-primary);
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font-weight: 700;
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}
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.root :global(.market-edge-box) {
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background: rgba(15, 23, 42, 0.4);
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border-radius: 6px;
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padding: 10px;
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}
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.root :global(.market-edge-header) {
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display: flex;
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justify-content: space-between;
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align-items: center;
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margin-bottom: 8px;
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font-size: 12px;
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color: var(--text-primary);
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font-weight: 600;
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}
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.root :global(.market-edge-val) {
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font-size: 15px;
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font-weight: 700;
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}
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.root :global(.market-edge-val.positive) {
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color: var(--accent-green);
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}
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.root :global(.market-edge-val.negative) {
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color: var(--text-secondary);
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}
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.root :global(.market-edge-compare) {
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display: grid;
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grid-template-columns: 1fr 1fr;
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gap: 8px;
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border-top: 1px solid rgba(255, 255, 255, 0.06);
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padding-top: 8px;
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}
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.root :global(.edge-stat) {
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display: flex;
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flex-direction: column;
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gap: 2px;
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}
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.root :global(.edge-label) {
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font-size: 10px;
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color: var(--text-muted);
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}
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.root :global(.edge-value) {
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font-size: 13px;
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color: var(--text-secondary);
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font-weight: 600;
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}
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.root :global(.market-layer-book),
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.root :global(.market-layer-context) {
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padding: 0 4px;
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}
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.root :global(.market-book-row),
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.root :global(.market-context-row) {
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display: flex;
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justify-content: space-between;
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align-items: center;
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font-size: 13px;
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padding: 6px 0;
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border-bottom: 1px dashed rgba(255, 255, 255, 0.05);
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}
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.root :global(.market-book-row:last-child),
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.root :global(.market-context-row:last-child) {
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border-bottom: none;
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}
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||||
.root :global(.book-label),
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.root :global(.market-context-row span) {
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color: var(--text-secondary);
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}
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.root :global(.book-quote strong),
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.root :global(.market-context-row strong) {
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color: var(--text-primary);
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font-weight: 600;
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}
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||||
.root :global(.book-quote span) {
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||||
color: var(--text-muted);
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font-size: 11px;
|
||||
}
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.root :global(.book-spread) {
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||||
color: var(--text-muted);
|
||||
font-size: 11px;
|
||||
}
|
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|
||||
.root :global(.mt-3) {
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margin-top: 12px;
|
||||
}
|
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.root :global(.future-v2-market-signal) {
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margin-top: 10px;
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||||
padding: 8px 10px;
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||||
border-radius: 10px;
|
||||
background: rgba(34, 211, 238, 0.08);
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||||
border: 1px solid rgba(34, 211, 238, 0.22);
|
||||
color: var(--accent-cyan);
|
||||
font-size: 12px;
|
||||
font-weight: 600;
|
||||
}
|
||||
|
||||
.root :global(.future-v2-main-chart) {
|
||||
min-height: 340px;
|
||||
}
|
||||
|
||||
.root :global(.future-modal-section) {
|
||||
background: rgba(255, 255, 255, 0.02);
|
||||
border: 1px solid var(--border-subtle);
|
||||
@@ -1660,9 +2026,12 @@
|
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border-radius: 999px;
|
||||
background: linear-gradient(
|
||||
90deg,
|
||||
rgba(245, 158, 11, 0.35),
|
||||
rgba(255, 255, 255, 0.06) 50%,
|
||||
rgba(52, 211, 153, 0.35)
|
||||
rgba(56, 189, 248, 0.4) 0%,
|
||||
rgba(56, 189, 248, 0.4) 30%,
|
||||
rgba(255, 255, 255, 0.06) 45%,
|
||||
rgba(255, 255, 255, 0.06) 55%,
|
||||
rgba(245, 158, 11, 0.4) 70%,
|
||||
rgba(245, 158, 11, 0.4) 100%
|
||||
);
|
||||
overflow: hidden;
|
||||
}
|
||||
@@ -1675,9 +2044,11 @@
|
||||
width: 14px;
|
||||
height: 14px;
|
||||
border-radius: 999px;
|
||||
background: var(--accent-cyan);
|
||||
background: var(--text-primary);
|
||||
transform: translate(-50%, -50%);
|
||||
box-shadow: 0 0 0 4px rgba(34, 211, 238, 0.14);
|
||||
box-shadow: 0 0 0 3px rgba(255, 255, 255, 0.15);
|
||||
z-index: 2;
|
||||
transition: left 0.5s ease;
|
||||
}
|
||||
|
||||
.root :global(.future-front-meta) {
|
||||
@@ -1699,6 +2070,14 @@
|
||||
}
|
||||
|
||||
@media (max-width: 960px) {
|
||||
.root :global(.future-v2-layout) {
|
||||
grid-template-columns: 1fr;
|
||||
}
|
||||
|
||||
.root :global(.future-v2-mini-item strong) {
|
||||
font-size: 18px;
|
||||
}
|
||||
|
||||
.root :global(.future-modal-grid),
|
||||
.root :global(.future-trend-grid) {
|
||||
grid-template-columns: 1fr;
|
||||
|
||||
File diff suppressed because it is too large
Load Diff
@@ -5,7 +5,12 @@ import clsx from "clsx";
|
||||
import { useChart } from "@/hooks/useChart";
|
||||
import { useCityData, useDashboardStore } from "@/hooks/useDashboardStore";
|
||||
import { useI18n } from "@/hooks/useI18n";
|
||||
import { CityDetail } from "@/lib/dashboard-types";
|
||||
import {
|
||||
CityDetail,
|
||||
MarketScan,
|
||||
MarketTopBucket,
|
||||
ProbabilityBucket,
|
||||
} from "@/lib/dashboard-types";
|
||||
import {
|
||||
getHeroMetaItems,
|
||||
getModelView,
|
||||
@@ -17,7 +22,101 @@ import {
|
||||
} from "@/lib/dashboard-utils";
|
||||
|
||||
function EmptyState({ text }: { text: string }) {
|
||||
return <div style={{ color: "var(--text-muted)", fontSize: "13px" }}>{text}</div>;
|
||||
return (
|
||||
<div style={{ color: "var(--text-muted)", fontSize: "13px" }}>{text}</div>
|
||||
);
|
||||
}
|
||||
|
||||
function toPercent(value?: number | null) {
|
||||
const numeric = Number(value);
|
||||
if (!Number.isFinite(numeric)) return null;
|
||||
return `${(numeric * 100).toFixed(1)}%`;
|
||||
}
|
||||
|
||||
function toPriceCents(value?: number | null) {
|
||||
const numeric = Number(value);
|
||||
if (!Number.isFinite(numeric)) return null;
|
||||
const normalized = numeric > 1 ? numeric / 100 : numeric;
|
||||
const cents = normalized * 100;
|
||||
const rounded = Math.round(cents * 10) / 10;
|
||||
const text = Number.isInteger(rounded)
|
||||
? String(rounded.toFixed(0))
|
||||
: String(rounded);
|
||||
return `${text}c`;
|
||||
}
|
||||
|
||||
function parseTempFromText(value: unknown) {
|
||||
const text = String(value || "");
|
||||
const match = text.match(/(-?\d+(?:\.\d+)?)/);
|
||||
if (!match) return null;
|
||||
const numeric = Number(match[1]);
|
||||
return Number.isFinite(numeric) ? numeric : null;
|
||||
}
|
||||
|
||||
function getBucketTemp(bucket: ProbabilityBucket) {
|
||||
const byValue = Number(bucket.value);
|
||||
if (Number.isFinite(byValue)) return byValue;
|
||||
return parseTempFromText(bucket.label || bucket.bucket || bucket.range);
|
||||
}
|
||||
|
||||
function getMarketBucketTemp(scan?: MarketScan | null) {
|
||||
if (!scan) return null;
|
||||
|
||||
const byBucketValue = Number(scan.temperature_bucket?.value);
|
||||
if (Number.isFinite(byBucketValue)) return byBucketValue;
|
||||
|
||||
const byBucketLabel = parseTempFromText(
|
||||
scan.temperature_bucket?.label ||
|
||||
scan.temperature_bucket?.bucket ||
|
||||
scan.temperature_bucket?.range,
|
||||
);
|
||||
if (byBucketLabel != null) return byBucketLabel;
|
||||
|
||||
const slug = String(scan.selected_slug || scan.primary_market?.slug || "");
|
||||
const slugMatch = slug.match(/-(-?\d+(?:\.\d+)?)c(?:$|[^a-z0-9])/i);
|
||||
if (slugMatch) {
|
||||
const numeric = Number(slugMatch[1]);
|
||||
if (Number.isFinite(numeric)) return numeric;
|
||||
}
|
||||
|
||||
return parseTempFromText(scan.primary_market?.question);
|
||||
}
|
||||
|
||||
function getMarketYesPrice(scan?: MarketScan | null) {
|
||||
const preferred = Number(scan?.market_price);
|
||||
if (Number.isFinite(preferred)) return preferred;
|
||||
const implied = Number(scan?.yes_token?.implied_probability);
|
||||
return Number.isFinite(implied) ? implied : null;
|
||||
}
|
||||
|
||||
function getMarketNoPrice(scan?: MarketScan | null) {
|
||||
const direct = Number(scan?.no_buy);
|
||||
if (Number.isFinite(direct)) return direct;
|
||||
const marketYes = getMarketYesPrice(scan);
|
||||
if (marketYes != null) return Math.max(0, Math.min(1, 1 - marketYes));
|
||||
return null;
|
||||
}
|
||||
|
||||
function normalizeMarketProbability(value?: number | null) {
|
||||
const numeric = Number(value);
|
||||
if (!Number.isFinite(numeric)) return null;
|
||||
if (numeric > 1) return Math.max(0, Math.min(1, numeric / 100));
|
||||
return Math.max(0, Math.min(1, numeric));
|
||||
}
|
||||
|
||||
function getMarketTopBuckets(scan?: MarketScan | null) {
|
||||
const buckets = Array.isArray(scan?.top_buckets) ? scan.top_buckets : [];
|
||||
if (!buckets.length) return [];
|
||||
|
||||
return buckets
|
||||
.map((item) => ({
|
||||
...item,
|
||||
probability: normalizeMarketProbability(item.probability),
|
||||
}))
|
||||
.filter(
|
||||
(item): item is MarketTopBucket & { probability: number } =>
|
||||
item.probability != null,
|
||||
);
|
||||
}
|
||||
|
||||
export function HeroSummary() {
|
||||
@@ -55,7 +154,9 @@ export function HeroSummary() {
|
||||
</div>
|
||||
<div className="hero-details">
|
||||
<div className="hero-item">
|
||||
<span className="label">{locale === "en-US" ? "Current Obs" : "当前实测"}</span>
|
||||
<span className="label">
|
||||
{locale === "en-US" ? "Current Obs" : "当前实测"}
|
||||
</span>
|
||||
<span className="value">
|
||||
{current.temp != null
|
||||
? `${current.temp}${data.temp_symbol} @${current.obs_time || "--"}`
|
||||
@@ -73,7 +174,9 @@ export function HeroSummary() {
|
||||
</span>
|
||||
</div>
|
||||
<div className="hero-item">
|
||||
<span className="label">{locale === "en-US" ? "DEB Forecast" : "DEB 预测"}</span>
|
||||
<span className="label">
|
||||
{locale === "en-US" ? "DEB Forecast" : "DEB 预测"}
|
||||
</span>
|
||||
<span className="value">
|
||||
{data.deb?.prediction != null
|
||||
? `${data.deb.prediction}${data.temp_symbol}`
|
||||
@@ -95,142 +198,141 @@ export function TemperatureChart() {
|
||||
const { locale, t } = useI18n();
|
||||
const chartData = data ? getTemperatureChartData(data, locale) : null;
|
||||
|
||||
const canvasRef = useChart(
|
||||
() => {
|
||||
if (!data || !chartData) {
|
||||
return {
|
||||
data: { datasets: [], labels: [] },
|
||||
type: "line",
|
||||
} satisfies ChartConfiguration<"line">;
|
||||
}
|
||||
|
||||
const datasets: NonNullable<ChartConfiguration<"line">["data"]>["datasets"] = [];
|
||||
|
||||
if (chartData.datasets.hasMgmHourly) {
|
||||
datasets.push({
|
||||
backgroundColor: "rgba(234, 179, 8, 0.05)",
|
||||
borderColor: "rgba(234, 179, 8, 0.8)",
|
||||
borderWidth: 2,
|
||||
data: chartData.datasets.mgmHourlyPoints,
|
||||
fill: false,
|
||||
label: locale === "en-US" ? "MGM Forecast" : "MGM 预报",
|
||||
pointHoverRadius: 6,
|
||||
pointRadius: 3,
|
||||
spanGaps: true,
|
||||
tension: 0.3,
|
||||
});
|
||||
} else {
|
||||
datasets.push({
|
||||
backgroundColor: "rgba(52, 211, 153, 0.05)",
|
||||
borderColor: "rgba(52, 211, 153, 0.6)",
|
||||
borderWidth: 1.5,
|
||||
data: chartData.datasets.debPast,
|
||||
fill: true,
|
||||
label: locale === "en-US" ? "DEB Forecast" : "DEB 预报",
|
||||
pointHoverRadius: 3,
|
||||
pointRadius: 0,
|
||||
tension: 0.3,
|
||||
});
|
||||
datasets.push({
|
||||
borderColor: "rgba(52, 211, 153, 0.35)",
|
||||
borderDash: [5, 3],
|
||||
borderWidth: 1.5,
|
||||
data: chartData.datasets.debFuture,
|
||||
fill: false,
|
||||
label: locale === "en-US" ? "DEB Forecast" : "DEB 预报",
|
||||
pointRadius: 0,
|
||||
tension: 0.3,
|
||||
});
|
||||
}
|
||||
|
||||
datasets.push({
|
||||
backgroundColor: "#22d3ee",
|
||||
borderColor: "#22d3ee",
|
||||
borderWidth: 0,
|
||||
data: chartData.datasets.metarPoints,
|
||||
fill: false,
|
||||
label: locale === "en-US" ? "METAR Observation" : "METAR 实测",
|
||||
order: 0,
|
||||
pointHoverRadius: 7,
|
||||
pointRadius: 5,
|
||||
});
|
||||
|
||||
if (chartData.datasets.mgmPoints.some((value) => value != null)) {
|
||||
datasets.push({
|
||||
backgroundColor: "#facc15",
|
||||
borderColor: "#facc15",
|
||||
borderWidth: 0,
|
||||
data: chartData.datasets.mgmPoints,
|
||||
fill: false,
|
||||
label: locale === "en-US" ? "MGM Observation" : "MGM 实测",
|
||||
order: -1,
|
||||
pointHoverRadius: 9,
|
||||
pointRadius: 7,
|
||||
showLine: false,
|
||||
});
|
||||
}
|
||||
|
||||
if (
|
||||
!chartData.datasets.hasMgmHourly &&
|
||||
Math.abs(chartData.datasets.offset) > 0.3
|
||||
) {
|
||||
datasets.push({
|
||||
borderColor: "rgba(99, 102, 241, 0.2)",
|
||||
borderDash: [2, 4],
|
||||
borderWidth: 1,
|
||||
data: chartData.datasets.temps,
|
||||
fill: false,
|
||||
label: locale === "en-US" ? "OM Raw" : "OM 原始",
|
||||
pointRadius: 0,
|
||||
tension: 0.3,
|
||||
});
|
||||
}
|
||||
|
||||
const canvasRef = useChart(() => {
|
||||
if (!data || !chartData) {
|
||||
return {
|
||||
data: {
|
||||
datasets,
|
||||
labels: chartData.times,
|
||||
},
|
||||
options: {
|
||||
interaction: { intersect: false, mode: "index" },
|
||||
maintainAspectRatio: false,
|
||||
plugins: {
|
||||
legend: { display: false },
|
||||
tooltip: {
|
||||
backgroundColor: "rgba(15, 23, 42, 0.9)",
|
||||
borderColor: "rgba(52, 211, 153, 0.3)",
|
||||
borderWidth: 1,
|
||||
},
|
||||
},
|
||||
responsive: true,
|
||||
scales: {
|
||||
x: {
|
||||
grid: { color: "rgba(255,255,255,0.04)" },
|
||||
ticks: {
|
||||
callback: (_value, index) =>
|
||||
typeof index === "number" && index % 3 === 0
|
||||
? chartData.times[index]
|
||||
: "",
|
||||
color: "#64748b",
|
||||
maxRotation: 0,
|
||||
},
|
||||
},
|
||||
y: {
|
||||
grid: { color: "rgba(255,255,255,0.04)" },
|
||||
max: chartData.max,
|
||||
min: chartData.min,
|
||||
ticks: {
|
||||
callback: (value) => `${value}${data.temp_symbol || "°C"}`,
|
||||
color: "#64748b",
|
||||
},
|
||||
},
|
||||
},
|
||||
},
|
||||
data: { datasets: [], labels: [] },
|
||||
type: "line",
|
||||
} satisfies ChartConfiguration<"line">;
|
||||
},
|
||||
[data, chartData, locale],
|
||||
);
|
||||
}
|
||||
|
||||
const datasets: NonNullable<
|
||||
ChartConfiguration<"line">["data"]
|
||||
>["datasets"] = [];
|
||||
|
||||
if (chartData.datasets.hasMgmHourly) {
|
||||
datasets.push({
|
||||
backgroundColor: "rgba(234, 179, 8, 0.05)",
|
||||
borderColor: "rgba(234, 179, 8, 0.8)",
|
||||
borderWidth: 2,
|
||||
data: chartData.datasets.mgmHourlyPoints,
|
||||
fill: false,
|
||||
label: locale === "en-US" ? "MGM Forecast" : "MGM 预报",
|
||||
pointHoverRadius: 6,
|
||||
pointRadius: 3,
|
||||
spanGaps: true,
|
||||
tension: 0.3,
|
||||
});
|
||||
} else {
|
||||
datasets.push({
|
||||
backgroundColor: "rgba(52, 211, 153, 0.05)",
|
||||
borderColor: "rgba(52, 211, 153, 0.6)",
|
||||
borderWidth: 1.5,
|
||||
data: chartData.datasets.debPast,
|
||||
fill: true,
|
||||
label: locale === "en-US" ? "DEB Forecast" : "DEB 预报",
|
||||
pointHoverRadius: 3,
|
||||
pointRadius: 0,
|
||||
tension: 0.3,
|
||||
});
|
||||
datasets.push({
|
||||
borderColor: "rgba(52, 211, 153, 0.35)",
|
||||
borderDash: [5, 3],
|
||||
borderWidth: 1.5,
|
||||
data: chartData.datasets.debFuture,
|
||||
fill: false,
|
||||
label: locale === "en-US" ? "DEB Forecast" : "DEB 预报",
|
||||
pointRadius: 0,
|
||||
tension: 0.3,
|
||||
});
|
||||
}
|
||||
|
||||
datasets.push({
|
||||
backgroundColor: "#22d3ee",
|
||||
borderColor: "#22d3ee",
|
||||
borderWidth: 0,
|
||||
data: chartData.datasets.metarPoints,
|
||||
fill: false,
|
||||
label: locale === "en-US" ? "METAR Observation" : "METAR 实测",
|
||||
order: 0,
|
||||
pointHoverRadius: 7,
|
||||
pointRadius: 5,
|
||||
});
|
||||
|
||||
if (chartData.datasets.mgmPoints.some((value) => value != null)) {
|
||||
datasets.push({
|
||||
backgroundColor: "#facc15",
|
||||
borderColor: "#facc15",
|
||||
borderWidth: 0,
|
||||
data: chartData.datasets.mgmPoints,
|
||||
fill: false,
|
||||
label: locale === "en-US" ? "MGM Observation" : "MGM 实测",
|
||||
order: -1,
|
||||
pointHoverRadius: 9,
|
||||
pointRadius: 7,
|
||||
showLine: false,
|
||||
});
|
||||
}
|
||||
|
||||
if (
|
||||
!chartData.datasets.hasMgmHourly &&
|
||||
Math.abs(chartData.datasets.offset) > 0.3
|
||||
) {
|
||||
datasets.push({
|
||||
borderColor: "rgba(99, 102, 241, 0.2)",
|
||||
borderDash: [2, 4],
|
||||
borderWidth: 1,
|
||||
data: chartData.datasets.temps,
|
||||
fill: false,
|
||||
label: locale === "en-US" ? "OM Raw" : "OM 原始",
|
||||
pointRadius: 0,
|
||||
tension: 0.3,
|
||||
});
|
||||
}
|
||||
|
||||
return {
|
||||
data: {
|
||||
datasets,
|
||||
labels: chartData.times,
|
||||
},
|
||||
options: {
|
||||
interaction: { intersect: false, mode: "index" },
|
||||
maintainAspectRatio: false,
|
||||
plugins: {
|
||||
legend: { display: false },
|
||||
tooltip: {
|
||||
backgroundColor: "rgba(15, 23, 42, 0.9)",
|
||||
borderColor: "rgba(52, 211, 153, 0.3)",
|
||||
borderWidth: 1,
|
||||
},
|
||||
},
|
||||
responsive: true,
|
||||
scales: {
|
||||
x: {
|
||||
grid: { color: "rgba(255,255,255,0.04)" },
|
||||
ticks: {
|
||||
callback: (_value, index) =>
|
||||
typeof index === "number" && index % 3 === 0
|
||||
? chartData.times[index]
|
||||
: "",
|
||||
color: "#64748b",
|
||||
maxRotation: 0,
|
||||
},
|
||||
},
|
||||
y: {
|
||||
grid: { color: "rgba(255,255,255,0.04)" },
|
||||
max: chartData.max,
|
||||
min: chartData.min,
|
||||
ticks: {
|
||||
callback: (value) => `${value}${data.temp_symbol || "°C"}`,
|
||||
color: "#64748b",
|
||||
},
|
||||
},
|
||||
},
|
||||
},
|
||||
type: "line",
|
||||
} satisfies ChartConfiguration<"line">;
|
||||
}, [data, chartData, locale]);
|
||||
|
||||
return (
|
||||
<section className="chart-section">
|
||||
@@ -238,7 +340,9 @@ export function TemperatureChart() {
|
||||
<div className="chart-wrapper">
|
||||
<canvas ref={canvasRef} />
|
||||
</div>
|
||||
<div className="chart-legend">{chartData?.legendText || t("section.chartEmpty")}</div>
|
||||
<div className="chart-legend">
|
||||
{chartData?.legendText || t("section.chartEmpty")}
|
||||
</div>
|
||||
</section>
|
||||
);
|
||||
}
|
||||
@@ -247,13 +351,28 @@ export function ProbabilityDistribution({
|
||||
detail,
|
||||
hideTitle = false,
|
||||
targetDate,
|
||||
marketScan,
|
||||
}: {
|
||||
detail: CityDetail;
|
||||
hideTitle?: boolean;
|
||||
targetDate?: string | null;
|
||||
marketScan?: MarketScan | null;
|
||||
}) {
|
||||
const { t } = useI18n();
|
||||
const { locale, t } = useI18n();
|
||||
const view = getProbabilityView(detail, targetDate);
|
||||
const marketBucketTemp = getMarketBucketTemp(marketScan);
|
||||
const marketYesPrice = getMarketYesPrice(marketScan);
|
||||
const marketNoPrice = getMarketNoPrice(marketScan);
|
||||
const marketYesText = toPercent(marketYesPrice);
|
||||
const marketNoText = toPercent(marketNoPrice);
|
||||
const isToday = !targetDate || targetDate === detail.local_date;
|
||||
const marketTopBuckets = isToday ? getMarketTopBuckets(marketScan) : [];
|
||||
const sortedMarketTopBuckets = [...marketTopBuckets]
|
||||
.sort((a, b) => Number(b.probability || 0) - Number(a.probability || 0))
|
||||
.slice(0, 4);
|
||||
const useMarketTopBuckets =
|
||||
marketScan?.available && sortedMarketTopBuckets.length > 0;
|
||||
const topMarketBucketText = toPercent(sortedMarketTopBuckets[0]?.probability);
|
||||
|
||||
return (
|
||||
<section className="prob-section">
|
||||
@@ -261,7 +380,11 @@ export function ProbabilityDistribution({
|
||||
<div className="prob-bars">
|
||||
{view.mu != null && (
|
||||
<div
|
||||
style={{ color: "var(--text-muted)", fontSize: "11px", marginBottom: "6px" }}
|
||||
style={{
|
||||
color: "var(--text-muted)",
|
||||
fontSize: "11px",
|
||||
marginBottom: "6px",
|
||||
}}
|
||||
>
|
||||
{t("section.mu", {
|
||||
unit: detail.temp_symbol || "",
|
||||
@@ -269,16 +392,62 @@ export function ProbabilityDistribution({
|
||||
})}
|
||||
</div>
|
||||
)}
|
||||
{view.probabilities.length === 0 ? (
|
||||
<EmptyState text={t("section.noProb")} />
|
||||
) : (
|
||||
view.probabilities.slice(0, 6).map((bucket, index) => {
|
||||
const probability = Math.round(Number(bucket.probability || 0) * 100);
|
||||
{marketScan?.available && (topMarketBucketText || marketYesText) && (
|
||||
<div
|
||||
style={{
|
||||
color: "var(--text-secondary)",
|
||||
fontSize: "11px",
|
||||
marginBottom: "6px",
|
||||
}}
|
||||
>
|
||||
{useMarketTopBuckets
|
||||
? locale === "en-US"
|
||||
? `Market top-4 buckets (top): ${topMarketBucketText}`
|
||||
: `市场概率（前4温度桶）：最高 ${topMarketBucketText}`
|
||||
: locale === "en-US"
|
||||
? `Market probability (this bucket): ${marketYesText}`
|
||||
: `市场概率（该温度桶）: ${marketYesText}`}
|
||||
</div>
|
||||
)}
|
||||
{useMarketTopBuckets ? (
|
||||
sortedMarketTopBuckets.map((bucket, index) => {
|
||||
const probability = Math.round(
|
||||
Number(bucket.probability || 0) * 100,
|
||||
);
|
||||
let bucketLabel =
|
||||
bucket.label ||
|
||||
(bucket.value != null
|
||||
? `${bucket.value}${detail.temp_symbol}`
|
||||
: `${bucket.temp ?? "--"}${detail.temp_symbol}`);
|
||||
|
||||
if (bucketLabel) {
|
||||
let str = String(bucketLabel).toUpperCase().replace(/\s+/g, "");
|
||||
str = str.replace(/°?C($|\+|-)/g, "℃$1");
|
||||
if (!str.includes("℃") && /[0-9]/.test(str)) {
|
||||
str += "℃";
|
||||
}
|
||||
bucketLabel = str;
|
||||
}
|
||||
const buyYesText = toPriceCents(
|
||||
bucket.yes_buy ?? bucket.market_price ?? bucket.probability,
|
||||
);
|
||||
const buyNoText = toPriceCents(bucket.no_buy);
|
||||
const marketTag = buyYesText
|
||||
? locale === "en-US"
|
||||
? `Buy Yes: ${buyYesText}`
|
||||
: `买 Yes: ${buyYesText}`
|
||||
: buyNoText
|
||||
? locale === "en-US"
|
||||
? `Buy No: ${buyNoText}`
|
||||
: `买 No: ${buyNoText}`
|
||||
: null;
|
||||
|
||||
return (
|
||||
<div key={`${bucket.label || bucket.value || index}`} className="prob-row">
|
||||
<div className="prob-label">
|
||||
{bucket.label || `${bucket.value}${detail.temp_symbol}`}
|
||||
</div>
|
||||
<div
|
||||
key={`${bucket.slug || bucket.label || index}`}
|
||||
className="prob-row"
|
||||
>
|
||||
<div className="prob-label">{bucketLabel}</div>
|
||||
<div className="prob-bar-track">
|
||||
<div
|
||||
className={clsx("prob-bar-fill", `rank-${index}`)}
|
||||
@@ -287,6 +456,82 @@ export function ProbabilityDistribution({
|
||||
{probability}%
|
||||
</div>
|
||||
</div>
|
||||
{marketTag && (
|
||||
<div className={clsx("prob-market-inline", "yes")}>
|
||||
{marketTag}
|
||||
</div>
|
||||
)}
|
||||
</div>
|
||||
);
|
||||
})
|
||||
) : view.probabilities.length === 0 ? (
|
||||
<EmptyState text={t("section.noProb")} />
|
||||
) : (
|
||||
view.probabilities.slice(0, 6).map((bucket, index) => {
|
||||
const probability = Math.round(
|
||||
Number(bucket.probability || 0) * 100,
|
||||
);
|
||||
const bucketTemp = getBucketTemp(bucket);
|
||||
const isMarketBucket =
|
||||
marketYesText != null &&
|
||||
marketBucketTemp != null &&
|
||||
bucketTemp != null &&
|
||||
Math.abs(bucketTemp - marketBucketTemp) < 0.26;
|
||||
const marketTag = isMarketBucket
|
||||
? locale === "en-US"
|
||||
? `Buy Yes: ${marketYesText || "--"}`
|
||||
: `买 Yes: ${marketYesText || "--"}`
|
||||
: marketNoText
|
||||
? locale === "en-US"
|
||||
? `Buy No: ${marketNoText}`
|
||||
: `买 No: ${marketNoText}`
|
||||
: null;
|
||||
const yesPriceText = toPriceCents(marketYesPrice);
|
||||
const noPriceText = toPriceCents(marketNoPrice);
|
||||
const marketTagFinal = isMarketBucket
|
||||
? locale === "en-US"
|
||||
? `Buy Yes: ${yesPriceText || "--"}`
|
||||
: `买 Yes: ${yesPriceText || "--"}`
|
||||
: noPriceText
|
||||
? locale === "en-US"
|
||||
? `Buy No: ${noPriceText}`
|
||||
: `买 No: ${noPriceText}`
|
||||
: marketTag;
|
||||
let bucketLabel =
|
||||
bucket.label || `${bucket.value}${detail.temp_symbol}`;
|
||||
if (bucketLabel) {
|
||||
let str = String(bucketLabel).toUpperCase().replace(/\s+/g, "");
|
||||
str = str.replace(/°?C($|\+|-)/g, "℃$1");
|
||||
if (!str.includes("℃") && /[0-9]/.test(str)) {
|
||||
str += "℃";
|
||||
}
|
||||
bucketLabel = str;
|
||||
}
|
||||
|
||||
return (
|
||||
<div
|
||||
key={`${bucket.label || bucket.value || index}`}
|
||||
className="prob-row"
|
||||
>
|
||||
<div className="prob-label">{bucketLabel}</div>
|
||||
<div className="prob-bar-track">
|
||||
<div
|
||||
className={clsx("prob-bar-fill", `rank-${index}`)}
|
||||
style={{ width: `${Math.max(probability, 8)}%` }}
|
||||
>
|
||||
{probability}%
|
||||
</div>
|
||||
</div>
|
||||
{marketTagFinal && (
|
||||
<div
|
||||
className={clsx(
|
||||
"prob-market-inline",
|
||||
isMarketBucket ? "yes" : "no",
|
||||
)}
|
||||
>
|
||||
{marketTagFinal}
|
||||
</div>
|
||||
)}
|
||||
</div>
|
||||
);
|
||||
})
|
||||
@@ -313,8 +558,12 @@ export function ModelForecast({
|
||||
const numericValues = modelEntries.map(([, value]) => Number(value));
|
||||
const comparisonValues =
|
||||
view.deb != null ? [...numericValues, Number(view.deb)] : numericValues;
|
||||
const minValue = comparisonValues.length ? Math.min(...comparisonValues) - 1 : 0;
|
||||
const maxValue = comparisonValues.length ? Math.max(...comparisonValues) + 1 : 1;
|
||||
const minValue = comparisonValues.length
|
||||
? Math.min(...comparisonValues) - 1
|
||||
: 0;
|
||||
const maxValue = comparisonValues.length
|
||||
? Math.max(...comparisonValues) + 1
|
||||
: 1;
|
||||
const range = Math.max(maxValue - minValue, 1);
|
||||
|
||||
return (
|
||||
@@ -341,12 +590,18 @@ export function ModelForecast({
|
||||
{name}
|
||||
</div>
|
||||
<div className="model-bar-track">
|
||||
<div className="model-bar-fill" style={{ width: `${width}%` }}>
|
||||
<div
|
||||
className="model-bar-fill"
|
||||
style={{ width: `${width}%` }}
|
||||
>
|
||||
{numeric}
|
||||
{detail.temp_symbol}
|
||||
</div>
|
||||
{debLine != null && (
|
||||
<div className="model-deb-line" style={{ left: `${debLine}%` }} />
|
||||
<div
|
||||
className="model-deb-line"
|
||||
style={{ left: `${debLine}%` }}
|
||||
/>
|
||||
)}
|
||||
</div>
|
||||
</div>
|
||||
@@ -410,13 +665,19 @@ export function ForecastTable() {
|
||||
<button
|
||||
key={day.date}
|
||||
type="button"
|
||||
className={clsx("forecast-day", isToday && "today", isSelected && "selected")}
|
||||
className={clsx(
|
||||
"forecast-day",
|
||||
isToday && "today",
|
||||
isSelected && "selected",
|
||||
)}
|
||||
onClick={() => {
|
||||
store.openFutureModal(day.date);
|
||||
}}
|
||||
>
|
||||
<div className="f-date">
|
||||
{isToday ? t("forecast.today") : day.date.substring(5).replace("-", "/")}
|
||||
{isToday
|
||||
? t("forecast.today")
|
||||
: day.date.substring(5).replace("-", "/")}
|
||||
</div>
|
||||
<div className="f-temp">
|
||||
{day.max_temp}
|
||||
@@ -471,7 +732,9 @@ export function RiskInfo() {
|
||||
<h3>{t("section.risk")}</h3>
|
||||
<div className="risk-info">
|
||||
{!risk.airport ? (
|
||||
<span style={{ color: "var(--text-muted)" }}>{t("section.noRiskProfile")}</span>
|
||||
<span style={{ color: "var(--text-muted)" }}>
|
||||
{t("section.noRiskProfile")}
|
||||
</span>
|
||||
) : (
|
||||
<>
|
||||
<div className="risk-row">
|
||||
|
||||
@@ -21,6 +21,7 @@ import {
|
||||
HistoryPoint,
|
||||
HistoryState,
|
||||
LoadingState,
|
||||
MarketScan,
|
||||
} from "@/lib/dashboard-types";
|
||||
|
||||
interface DashboardStoreValue extends DashboardState {
|
||||
@@ -35,13 +36,15 @@ interface DashboardStoreValue extends DashboardState {
|
||||
openFutureModal: (dateStr: string) => void;
|
||||
openGuide: () => void;
|
||||
openHistory: () => Promise<void>;
|
||||
openTodayModal: () => Promise<void>;
|
||||
openTodayModal: (forceRefresh?: boolean) => Promise<void>;
|
||||
registerMapStopMotion: (stopMotion: () => void) => void;
|
||||
refreshAll: () => Promise<void>;
|
||||
refreshSelectedCity: () => Promise<void>;
|
||||
selectedMarketScan: MarketScan | null;
|
||||
selectedDetail: CityDetail | null;
|
||||
selectCity: (cityName: string) => Promise<void>;
|
||||
setForecastDate: (dateStr: string | null) => void;
|
||||
marketScanByCityName: Record<string, MarketScan>;
|
||||
}
|
||||
|
||||
const DashboardStoreContext = createContext<DashboardStoreValue | null>(null);
|
||||
@@ -52,6 +55,7 @@ function getInitialLoadingState(): LoadingState {
|
||||
cityDetail: false,
|
||||
history: false,
|
||||
refresh: false,
|
||||
marketScan: false,
|
||||
};
|
||||
}
|
||||
|
||||
@@ -177,6 +181,9 @@ export function DashboardStoreProvider({
|
||||
const [cityDetailMetaByName, setCityDetailMetaByName] = useState<
|
||||
Record<string, { cachedAt: number; revision: string }>
|
||||
>(() => initialCache.meta);
|
||||
const [marketScanByCityName, setMarketScanByCityName] = useState<
|
||||
Record<string, MarketScan>
|
||||
>({});
|
||||
const [selectedCity, setSelectedCity] = useState<string | null>(null);
|
||||
const [isPanelOpen, setIsPanelOpen] = useState(false);
|
||||
const [selectedForecastDate, setSelectedForecastDate] = useState<
|
||||
@@ -203,6 +210,9 @@ export function DashboardStoreProvider({
|
||||
const selectedDetail = selectedCity
|
||||
? cityDetailsByName[selectedCity] || null
|
||||
: null;
|
||||
const selectedMarketScan = selectedCity
|
||||
? marketScanByCityName[selectedCity] || null
|
||||
: null;
|
||||
|
||||
useEffect(() => {
|
||||
dashboardClient.writeCityDetailCacheBundle(
|
||||
@@ -241,7 +251,9 @@ export function DashboardStoreProvider({
|
||||
}
|
||||
}
|
||||
|
||||
const latestDetail = await dashboardClient.getCityDetail(cityName, { force });
|
||||
const latestDetail = await dashboardClient.getCityDetail(cityName, {
|
||||
force,
|
||||
});
|
||||
const detail = mergeAiAnalysisIfStable(cached, latestDetail);
|
||||
setCityDetailsByName((current) => ({
|
||||
...current,
|
||||
@@ -261,6 +273,29 @@ export function DashboardStoreProvider({
|
||||
return detail;
|
||||
};
|
||||
|
||||
const ensureCityMarketScan = async (
|
||||
cityName: string,
|
||||
force = false,
|
||||
marketSlug?: string | null,
|
||||
) => {
|
||||
const cached = marketScanByCityName[cityName];
|
||||
if (!force && cached && !marketSlug) {
|
||||
return cached;
|
||||
}
|
||||
|
||||
const latestScan = await dashboardClient.getCityMarketScan(cityName, {
|
||||
force,
|
||||
marketSlug,
|
||||
});
|
||||
if (latestScan) {
|
||||
setMarketScanByCityName((current) => ({
|
||||
...current,
|
||||
[cityName]: latestScan,
|
||||
}));
|
||||
}
|
||||
return latestScan;
|
||||
};
|
||||
|
||||
const loadCities = async () => {
|
||||
setLoadingState((current) => ({ ...current, cities: true }));
|
||||
try {
|
||||
@@ -330,6 +365,8 @@ export function DashboardStoreProvider({
|
||||
try {
|
||||
const detail = await ensureCityDetail(cityName);
|
||||
setSelectedForecastDate(detail.local_date);
|
||||
// 预热市场数据，不做 await 阻塞，后台静默拉取
|
||||
void ensureCityMarketScan(cityName, false).catch(() => {});
|
||||
} finally {
|
||||
setLoadingState((current) => ({ ...current, cityDetail: false }));
|
||||
}
|
||||
@@ -433,24 +470,50 @@ export function DashboardStoreProvider({
|
||||
},
|
||||
openGuide: () => setIsGuideOpen(true),
|
||||
openHistory,
|
||||
openTodayModal: async () => {
|
||||
if (!selectedCity || loadingState.cityDetail || loadingState.refresh) {
|
||||
openTodayModal: async (forceRefresh?: boolean) => {
|
||||
if (!selectedCity || loadingState.cityDetail) {
|
||||
return;
|
||||
}
|
||||
|
||||
mapStopMotionRef.current();
|
||||
setLoadingState((current) => ({ ...current, refresh: true }));
|
||||
const cachedDetail = cityDetailsByName[selectedCity];
|
||||
|
||||
// 乐观 UI: 有缓存则立刻秒开 modal，不阻塞显示
|
||||
if (cachedDetail?.local_date) {
|
||||
setSelectedForecastDate(cachedDetail.local_date);
|
||||
setFutureModalDate(cachedDetail.local_date);
|
||||
setLoadingState((current) => ({ ...current, marketScan: true }));
|
||||
} else {
|
||||
setLoadingState((current) => ({
|
||||
...current,
|
||||
refresh: true,
|
||||
marketScan: true,
|
||||
}));
|
||||
}
|
||||
|
||||
// 异步静默拉取最新气象与市场数据
|
||||
try {
|
||||
const detail = await ensureCityDetail(selectedCity, true);
|
||||
setSelectedForecastDate(detail.local_date);
|
||||
setFutureModalDate(detail.local_date);
|
||||
|
||||
try {
|
||||
// 如果缓存里没有或者想要强制刷新，则拉取最新市场数据
|
||||
await ensureCityMarketScan(
|
||||
selectedCity,
|
||||
forceRefresh || !marketScanByCityName[selectedCity],
|
||||
);
|
||||
} catch {}
|
||||
} catch {
|
||||
const fallback = cityDetailsByName[selectedCity];
|
||||
if (fallback?.local_date) {
|
||||
setFutureModalDate(fallback.local_date);
|
||||
if (cachedDetail?.local_date) {
|
||||
setFutureModalDate(cachedDetail.local_date);
|
||||
}
|
||||
} finally {
|
||||
setLoadingState((current) => ({ ...current, refresh: false }));
|
||||
setLoadingState((current) => ({
|
||||
...current,
|
||||
refresh: false,
|
||||
marketScan: false,
|
||||
}));
|
||||
}
|
||||
},
|
||||
registerMapStopMotion: (stopMotion: () => void) => {
|
||||
@@ -458,12 +521,14 @@ export function DashboardStoreProvider({
|
||||
},
|
||||
refreshAll,
|
||||
refreshSelectedCity,
|
||||
selectedMarketScan,
|
||||
selectedCity,
|
||||
selectedDetail,
|
||||
selectedForecastDate,
|
||||
selectCity,
|
||||
setForecastDate: (dateStr: string | null) =>
|
||||
setSelectedForecastDate(dateStr),
|
||||
marketScanByCityName,
|
||||
}),
|
||||
[
|
||||
cities,
|
||||
@@ -474,6 +539,8 @@ export function DashboardStoreProvider({
|
||||
isPanelOpen,
|
||||
isGuideOpen,
|
||||
loadingState,
|
||||
marketScanByCityName,
|
||||
selectedMarketScan,
|
||||
selectedCity,
|
||||
selectedDetail,
|
||||
selectedForecastDate,
|
||||
|
||||
@@ -3,6 +3,7 @@
|
||||
import {
|
||||
CityDetail,
|
||||
CityListItem,
|
||||
MarketScan,
|
||||
CitySummary,
|
||||
HistoryPoint,
|
||||
} from "@/lib/dashboard-types";
|
||||
@@ -12,6 +13,7 @@ const CACHE_TTL_MS = 5 * 60 * 1000;
|
||||
const pendingCityDetailRequests = new Map<string, Promise<CityDetail>>();
|
||||
const pendingHistoryRequests = new Map<string, Promise<HistoryPoint[]>>();
|
||||
const pendingCitySummaryRequests = new Map<string, Promise<CitySummary>>();
|
||||
const pendingMarketScanRequests = new Map<string, Promise<MarketScan | null>>();
|
||||
|
||||
type CityCacheMeta = {
|
||||
cachedAt: number;
|
||||
@@ -134,20 +136,75 @@ export const dashboardClient = {
|
||||
|
||||
async getCityDetail(cityName: string, options?: { force?: boolean }) {
|
||||
const force = options?.force ?? false;
|
||||
const requestKey = `${cityName}::${force ? "force" : "cached"}`;
|
||||
const existing = pendingCityDetailRequests.get(requestKey);
|
||||
if (existing) {
|
||||
return existing;
|
||||
if (!force) {
|
||||
const requestKey = `${cityName}::cached`;
|
||||
const existing = pendingCityDetailRequests.get(requestKey);
|
||||
if (existing) {
|
||||
return existing;
|
||||
}
|
||||
|
||||
const request = fetchJson<CityDetail>(
|
||||
`/api/city/${normalizeCityName(cityName)}?force_refresh=false`,
|
||||
).finally(() => {
|
||||
pendingCityDetailRequests.delete(requestKey);
|
||||
});
|
||||
|
||||
pendingCityDetailRequests.set(requestKey, request);
|
||||
return request;
|
||||
}
|
||||
|
||||
const request = fetchJson<CityDetail>(
|
||||
`/api/city/${normalizeCityName(cityName)}?force_refresh=${force}`,
|
||||
).finally(() => {
|
||||
pendingCityDetailRequests.delete(requestKey);
|
||||
const params = new URLSearchParams({
|
||||
force_refresh: "true",
|
||||
_ts: String(Date.now()),
|
||||
});
|
||||
return fetchJson<CityDetail>(
|
||||
`/api/city/${normalizeCityName(cityName)}?${params.toString()}`,
|
||||
);
|
||||
},
|
||||
|
||||
pendingCityDetailRequests.set(requestKey, request);
|
||||
return request;
|
||||
async getCityMarketScan(
|
||||
cityName: string,
|
||||
options?: { force?: boolean; marketSlug?: string | null },
|
||||
) {
|
||||
const force = options?.force ?? false;
|
||||
const marketSlug = options?.marketSlug || null;
|
||||
if (!force) {
|
||||
const requestKey = `${cityName}::cached::${marketSlug || "-"}`;
|
||||
const existing = pendingMarketScanRequests.get(requestKey);
|
||||
if (existing) {
|
||||
return existing;
|
||||
}
|
||||
|
||||
const params = new URLSearchParams({
|
||||
force_refresh: "false",
|
||||
});
|
||||
if (marketSlug) {
|
||||
params.set("market_slug", marketSlug);
|
||||
}
|
||||
|
||||
const request = fetchJson<{ market_scan?: MarketScan }>(
|
||||
`/api/city/${normalizeCityName(cityName)}/detail?${params.toString()}`,
|
||||
)
|
||||
.then((data) => data.market_scan || null)
|
||||
.finally(() => {
|
||||
pendingMarketScanRequests.delete(requestKey);
|
||||
});
|
||||
|
||||
pendingMarketScanRequests.set(requestKey, request);
|
||||
return request;
|
||||
}
|
||||
|
||||
const params = new URLSearchParams({
|
||||
force_refresh: "true",
|
||||
_ts: String(Date.now()),
|
||||
});
|
||||
if (marketSlug) {
|
||||
params.set("market_slug", marketSlug);
|
||||
}
|
||||
|
||||
return fetchJson<{ market_scan?: MarketScan }>(
|
||||
`/api/city/${normalizeCityName(cityName)}/detail?${params.toString()}`,
|
||||
).then((data) => data.market_scan || null);
|
||||
},
|
||||
|
||||
async getHistory(cityName: string) {
|
||||
|
||||
@@ -181,6 +181,71 @@ export interface DailyModelForecast {
|
||||
probabilities?: ProbabilityBucket[];
|
||||
}
|
||||
|
||||
export interface MarketToken {
|
||||
outcome?: string | null;
|
||||
token_id?: string | null;
|
||||
implied_probability?: number | null;
|
||||
buy_price?: number | null;
|
||||
sell_price?: number | null;
|
||||
midpoint?: number | null;
|
||||
last_trade_price?: number | null;
|
||||
}
|
||||
|
||||
export interface MarketPrimary {
|
||||
id?: string | null;
|
||||
question?: string | null;
|
||||
slug?: string | null;
|
||||
condition_id?: string | null;
|
||||
end_date?: string | null;
|
||||
active?: boolean;
|
||||
closed?: boolean;
|
||||
liquidity?: number | null;
|
||||
volume?: number | null;
|
||||
}
|
||||
|
||||
export interface MarketTopBucket {
|
||||
label?: string | null;
|
||||
value?: number | null;
|
||||
temp?: number | null;
|
||||
probability?: number | null;
|
||||
market_price?: number | null;
|
||||
yes_buy?: number | null;
|
||||
yes_sell?: number | null;
|
||||
no_buy?: number | null;
|
||||
no_sell?: number | null;
|
||||
slug?: string | null;
|
||||
question?: string | null;
|
||||
is_primary?: boolean;
|
||||
}
|
||||
|
||||
export interface MarketScan {
|
||||
available?: boolean;
|
||||
reason?: string | null;
|
||||
primary_market?: MarketPrimary | null;
|
||||
selected_date?: string | null;
|
||||
selected_condition_id?: string | null;
|
||||
selected_slug?: string | null;
|
||||
temperature_bucket?: ProbabilityBucket | null;
|
||||
model_probability?: number | null;
|
||||
market_price?: number | null;
|
||||
edge_percent?: number | null;
|
||||
signal_label?: string | null;
|
||||
confidence?: string | null;
|
||||
yes_token?: MarketToken | null;
|
||||
no_token?: MarketToken | null;
|
||||
yes_buy?: number | null;
|
||||
yes_sell?: number | null;
|
||||
no_buy?: number | null;
|
||||
no_sell?: number | null;
|
||||
last_trade_price?: number | null;
|
||||
liquidity?: number | null;
|
||||
volume?: number | null;
|
||||
sparkline?: number[];
|
||||
top_buckets?: MarketTopBucket[] | null;
|
||||
recent_trades?: unknown[];
|
||||
websocket?: Record<string, unknown>;
|
||||
}
|
||||
|
||||
export interface AiAnalysisStructured {
|
||||
summary?: string | null;
|
||||
text?: string | null;
|
||||
@@ -227,6 +292,7 @@ export interface CityDetail {
|
||||
updated_at?: string;
|
||||
multi_model_daily?: Record<string, DailyModelForecast>;
|
||||
source_forecasts?: SourceForecasts;
|
||||
market_scan?: MarketScan;
|
||||
}
|
||||
|
||||
export interface HistoryPoint {
|
||||
@@ -241,6 +307,7 @@ export interface LoadingState {
|
||||
cityDetail: boolean;
|
||||
refresh: boolean;
|
||||
history: boolean;
|
||||
marketScan?: boolean;
|
||||
}
|
||||
|
||||
export interface HistoryState {
|
||||
|
||||
+12
-8
@@ -71,7 +71,7 @@ const MESSAGES: Record<Locale, Record<string, string>> = {
|
||||
"future.score": "趋势评分",
|
||||
"future.todayTempTrend": "今日温度走势",
|
||||
"future.targetTempTrend": "目标日小时走势",
|
||||
"future.probability": "结算概率分布",
|
||||
"future.probability": "模型结算概率分布",
|
||||
"future.models": "多模型预报",
|
||||
"future.structureToday": "今日日内结构信号",
|
||||
"future.structureDate": "未来 6-48 小时趋势",
|
||||
@@ -91,7 +91,7 @@ const MESSAGES: Record<Locale, Record<string, string>> = {
|
||||
|
||||
"section.todayTempTrend": "今日温度走势",
|
||||
"section.chartEmpty": "暂无小时级数据",
|
||||
"section.probability": "结算概率分布",
|
||||
"section.probability": "模型结算概率分布",
|
||||
"section.mu": "动态分布中心 μ = {value}{unit}",
|
||||
"section.noProb": "暂无概率数据",
|
||||
"section.models": "多模型预报",
|
||||
@@ -133,7 +133,8 @@ const MESSAGES: Record<Locale, Record<string, string>> = {
|
||||
"No scenery image matched. You can still review station and observation profile below.",
|
||||
"detail.profile": "City Profile",
|
||||
"detail.todayMiniTrend": "Today's Intraday Trend (Compact)",
|
||||
"detail.chartLegendEmpty": "No hourly observations or forecast curve available.",
|
||||
"detail.chartLegendEmpty":
|
||||
"No hourly observations or forecast curve available.",
|
||||
|
||||
"forecast.title": "Multi-day Forecast",
|
||||
"forecast.empty": "No multi-day forecast available",
|
||||
@@ -171,7 +172,7 @@ const MESSAGES: Record<Locale, Record<string, string>> = {
|
||||
"future.score": "Trend Score",
|
||||
"future.todayTempTrend": "Today's Temperature Trend",
|
||||
"future.targetTempTrend": "Target-day Hourly Trend",
|
||||
"future.probability": "Settlement Probability Distribution",
|
||||
"future.probability": "Model Settlement Probabilities",
|
||||
"future.models": "Multi-model Forecast",
|
||||
"future.structureToday": "Intraday Structural Signal",
|
||||
"future.structureDate": "6-48h Structural Trend",
|
||||
@@ -179,11 +180,13 @@ const MESSAGES: Record<Locale, Record<string, string>> = {
|
||||
"future.confidence": "Confidence",
|
||||
"future.maxPrecip": "Max Precip Probability",
|
||||
"future.ai": "AI Deep Analysis",
|
||||
"future.noAi": "No AI analysis available. Structured meteorological and model data are used as baseline.",
|
||||
"future.noAi":
|
||||
"No AI analysis available. Structured meteorological and model data are used as baseline.",
|
||||
"future.weatherGov": "weather.gov text",
|
||||
"future.risk": "Settlement & Deviation Risk",
|
||||
"future.climate": "What Mainly Drives Local Climate",
|
||||
"future.chartLegendEmpty": "No METAR bulletin or hourly observations available",
|
||||
"future.chartLegendEmpty":
|
||||
"No METAR bulletin or hourly observations available",
|
||||
|
||||
"confidence.high": "High",
|
||||
"confidence.medium": "Medium",
|
||||
@@ -191,13 +194,14 @@ const MESSAGES: Record<Locale, Record<string, string>> = {
|
||||
|
||||
"section.todayTempTrend": "Today's Temperature Trend",
|
||||
"section.chartEmpty": "No hourly data available",
|
||||
"section.probability": "Settlement Probability Distribution",
|
||||
"section.probability": "Model Settlement Probabilities",
|
||||
"section.mu": "Dynamic center μ = {value}{unit}",
|
||||
"section.noProb": "No probability data available",
|
||||
"section.models": "Multi-model Forecast",
|
||||
"section.noModels": "No multi-model forecast available",
|
||||
"section.ai": "AI Deep Analysis",
|
||||
"section.aiEmpty": "No AI analysis available. Structured meteorological and model data are currently used.",
|
||||
"section.aiEmpty":
|
||||
"No AI analysis available. Structured meteorological and model data are currently used.",
|
||||
"section.risk": "Data Deviation Risk",
|
||||
"section.noRiskProfile": "No risk profile available",
|
||||
"section.airport": "Airport",
|
||||
|
||||
@@ -292,6 +292,20 @@ export interface MarketScan {
|
||||
liquidity: number | null;
|
||||
volume: number | null;
|
||||
sparkline: number[];
|
||||
top_buckets?: Array<{
|
||||
label?: string | null;
|
||||
value?: number | null;
|
||||
temp?: number | null;
|
||||
probability?: number | null;
|
||||
market_price?: number | null;
|
||||
yes_buy?: number | null;
|
||||
yes_sell?: number | null;
|
||||
no_buy?: number | null;
|
||||
no_sell?: number | null;
|
||||
slug?: string | null;
|
||||
question?: string | null;
|
||||
is_primary?: boolean;
|
||||
}>;
|
||||
recent_trades: Trade[];
|
||||
websocket: any;
|
||||
}
|
||||
|
||||
Reference in New Issue
Block a user