fix: align gaussian probability with local forecast date

This commit is contained in:
2569718930@qq.com
2026-05-28 09:44:42 +08:00
parent 2e6349cbc6
commit fb4a9d7e09
4 changed files with 53 additions and 0 deletions
+20
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@@ -312,6 +312,26 @@ def analyze_weather_trend(
pass
local_hour_frac = local_hour + local_minute / 60
daily_dates = daily.get("time", []) or []
daily_highs = daily.get("temperature_2m_max", []) or []
if local_date_str in daily_dates:
try:
local_day_idx = daily_dates.index(local_date_str)
local_day_high = _sf(
daily_highs[local_day_idx]
if local_day_idx < len(daily_highs)
else None
)
if local_day_high is not None:
current_forecasts["Open-Meteo"] = local_day_high
except Exception:
pass
forecast_highs = [h for h in current_forecasts.values() if h is not None]
forecast_high = max(forecast_highs) if forecast_highs else None
forecast_median = (
sorted(forecast_highs)[len(forecast_highs) // 2] if forecast_highs else None
)
# === DEB ===
deb_prediction = None
deb_raw_prediction = None
+6
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@@ -47,3 +47,9 @@ def test_scan_terminal_backend_timeout_returns_before_next_proxy_abort():
assert 'POLYWEATHER_SCAN_TERMINAL_PROXY_TIMEOUT_MS || "40000"' in route_source
assert scan_terminal_config.SCAN_TERMINAL_BUILD_TIMEOUT_SEC <= 30
def test_probability_engine_uses_enriched_multi_model_snapshot():
source = (ROOT / "web" / "analysis_service.py").read_text(encoding="utf-8")
assert 'raw["multi_model"] = mm' in source
+26
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@@ -137,6 +137,32 @@ class TestMuCalculation:
assert mu is not None
assert mu >= 33.0, f"μ should be >= actual max (33°C), got {mu}"
@patch("src.analysis.trend_engine.calculate_dynamic_weights", return_value=(None, ""))
@patch("src.analysis.trend_engine.get_deb_accuracy", return_value=None)
@patch("src.analysis.trend_engine.update_daily_record")
def test_mu_uses_city_local_date_daily_high(self, _udr, _deb_acc, _dw):
"""Cached daily arrays may include yesterday first; μ must use the city-local target date."""
data = _make_weather_data(
cur_temp=25.0,
max_so_far=25.0,
om_today_high=24.0,
ens_median=None,
ens_p10=None,
ens_p90=None,
local_time="2026-05-28 09:30",
recent_temps=[("09:00", 25.0), ("08:00", 24.0), ("07:00", 23.0)],
multi_model={},
)
data["open-meteo"]["utc_offset"] = 8 * 60 * 60
data["open-meteo"]["daily"]["time"] = ["2026-05-27", "2026-05-28"]
data["open-meteo"]["daily"]["temperature_2m_max"] = [24.0, 31.0]
data["open-meteo"]["hourly"]["time"] = [f"2026-05-28T{h:02d}:00" for h in range(24)]
_, _, sd = analyze_weather_trend(data, "°C", "wuhan")
assert sd["current_forecasts"]["Open-Meteo"] == 31.0
assert sd["mu"] is not None and sd["mu"] >= 30.0
# ─── Tests: Dead Market ───
+1
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@@ -737,6 +737,7 @@ def _analyze(
mm_hourly = _weather.fetch_multi_model(lat, lon, city=city, use_fahrenheit=is_f)
if mm_hourly and mm_hourly.get("hourly_times"):
mm = {**mm, **mm_hourly}
raw["multi_model"] = mm
risk = CITY_RISK_PROFILES.get(city, {})
network_snapshot = (
build_country_network_snapshot(city, raw)