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The collection-leader worker now precomputes forecasts after every
scrape cycle: primes the /forecast cache (users never trigger the
multi-second inference — its TTL rises to 4500s so the hourly refresh
always wins) and persists every issued forecast to a new
forecast_history table keyed by (as_of, station, horizon) with
predicted max level, warn/danger probabilities, current level, and
model_version. This is the operational record the backtests lacked —
predicted-vs-actual becomes a simple join instead of retraining
historical models.
GET /api/forecast/history/{station} serves the archive (hours or
start/end + horizon filters, 5-min edge cache), and the station history
chart overlays 'Model 24 h peak (as issued)' as a dashed violet line
once data accumulates.
90 lines
3.1 KiB
Python
90 lines
3.1 KiB
Python
from pathlib import Path
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DASHBOARD_PATH = Path(__file__).parents[1] / "src" / "static" / "dashboard.html"
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def test_dashboard_contains_live_map_and_flow_visualization():
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html = DASHBOARD_PATH.read_text(encoding="utf-8")
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assert "id=\"station-map\"" in html
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assert "id=\"river-flow\"" in html
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assert "fetch('/stations')" in html or 'fetch("/stations")' in html
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assert "fetch('/measurements/latest" in html or 'fetch(\"/measurements/latest' in html
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assert "leaflet" in html.lower()
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def test_dashboard_explains_flow_legend_and_refresh():
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html = DASHBOARD_PATH.read_text(encoding="utf-8")
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assert "Flow status" in html
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assert "Last updated" in html
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assert "Refresh" in html
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def test_dashboard_uses_mapped_river_network_instead_of_station_connections():
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html = DASHBOARD_PATH.read_text(encoding="utf-8")
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river_network = DASHBOARD_PATH.with_name("ping-river-network.geojson")
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assert river_network.exists()
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assert "fetch('/static/ping-river-network.geojson')" in html
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assert "mainBasin.map" not in html
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def test_dashboard_loads_additional_thaiwater_sensors():
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html = DASHBOARD_PATH.read_text(encoding="utf-8")
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assert "fetch('/sensors/thaiwater')" in html
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assert "Additional basin stations" in html
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assert 'id="station-search"' in html
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assert "applyStationSearch" in html
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def test_dashboard_has_seo_and_indexing_files():
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html = DASHBOARD_PATH.read_text(encoding="utf-8")
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static_dir = DASHBOARD_PATH.parent
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assert '<meta name="description"' in html
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assert '<link rel="canonical" href="https://water.buildfor.life/">' in html
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assert 'property="og:title"' in html
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assert 'rel="icon"' in html
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robots = (static_dir / "robots.txt").read_text(encoding="utf-8")
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assert "Sitemap: https://water.buildfor.life/sitemap.xml" in robots
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assert "<loc>https://water.buildfor.life/</loc>" in (static_dir / "sitemap.xml").read_text(encoding="utf-8")
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assert "Ping River Live Monitor" in (static_dir / "llms.txt").read_text(encoding="utf-8")
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from src import web_api
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routes = {route.path for route in web_api.app.routes}
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assert {"/robots.txt", "/llms.txt", "/sitemap.xml"} <= routes
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def test_dashboard_shows_hii_rainfall_layer():
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html = DASHBOARD_PATH.read_text(encoding="utf-8")
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assert "fetch('/api/hii/rainfall/latest')" in html
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assert "fetch('/api/hii/waterlevel/latest')" in html
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assert "renderRainLayer" in html
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assert "rain-toggle" in html
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assert "Rainfall · 24 h" in html
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# TMD rain classes on the legend
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assert "Heavy 35–90" in html
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assert "Extreme > 150" in html
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def test_dashboard_loads_station_history_chart():
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html = DASHBOARD_PATH.read_text(encoding="utf-8")
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assert "Station history" in html
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assert "/api/forecast/history/" in html
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assert "Model 24 h peak (as issued)" in html
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assert "PostgreSQL" not in html
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assert "/measurements/history/" in html
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assert "history-chart" in html
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# Date-range picker alongside the quick-range dropdown
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assert 'id="history-start"' in html
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assert 'id="history-end"' in html
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assert "Last 7 days" in html
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assert "Last 90 days" in html
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