Prioritize homepage summary preloading for Asia and Europe

.env.example

@@ -95,6 +95,8 @@ POLYWEATHER_MONITORING_ALERT_CHAT_IDS=
 ########################################
 NEXT_PUBLIC_WALLETCONNECT_PROJECT_ID=
 NEXT_PUBLIC_WALLETCONNECT_POLYGON_RPC_URL=https://polygon-bor-rpc.publicnode.com
+# Optional: disable homepage city summary preloading. Default is enabled.
+NEXT_PUBLIC_POLYWEATHER_DISABLE_EAGER_SUMMARIES=false
 
 ########################################
 # 7) Optional modules

data/probability_training_snapshots.jsonl

@@ -153,3 +153,19 @@
 {"city": "taipei", "timestamp": "2026-04-11T11:30:00.000Z", "date": "2026-04-11", "temp_symbol": "°C", "raw_mu": null, "raw_sigma": 0.3, "deb_prediction": 27.6, "ensemble": {"p10": null, "median": null, "p90": null}, "multi_model": {"Open-Meteo": 27.6}, "max_so_far": 33.0, "observation": {"current_temp": 27.0, "humidity": null, "wind_speed_kt": 4.0, "visibility_mi": null, "local_hour": 20.0}, "peak_status": "past", "prob_snapshot": [{"v": 33, "p": 1.0}], "shadow_prob_snapshot": [], "probability_engine": "legacy", "probability_mode": "legacy", "calibration_version": null, "calibration_source": null, "calibrated_mu": null, "calibrated_sigma": null}
 {"city": "taipei", "timestamp": "2026-04-11T11:30:00.000Z", "date": "2026-04-11", "temp_symbol": "°C", "raw_mu": null, "raw_sigma": 0.10938964843750025, "deb_prediction": 29.5, "ensemble": {"p10": 28.9, "median": 29.4, "p90": 29.8}, "multi_model": {"Open-Meteo": 27.6, "ECMWF": 31.0, "GFS": 32.4, "ICON": 27.6, "GEM": 29.7, "JMA": 28.9}, "max_so_far": 33.0, "observation": {"current_temp": 27.0, "humidity": null, "wind_speed_kt": 4.0, "visibility_mi": null, "local_hour": 20.0}, "peak_status": "past", "prob_snapshot": [{"v": 33, "p": 1.0}], "shadow_prob_snapshot": [], "probability_engine": "legacy", "probability_mode": "legacy", "calibration_version": null, "calibration_source": null, "calibrated_mu": null, "calibrated_sigma": null}
 {"city": "taipei", "timestamp": "2026-04-11T19:50:00+08:00", "date": "2026-04-11", "temp_symbol": "°C", "raw_mu": null, "raw_sigma": 0.10938964843749983, "deb_prediction": 30.3, "ensemble": {"p10": 28.8, "median": 29.3, "p90": 29.7}, "multi_model": {"Open-Meteo": 29.7, "ECMWF": 30.9, "GFS": 32.4, "ICON": 29.7, "GEM": 29.6, "JMA": 29.3}, "max_so_far": 32.1, "observation": {"current_temp": 27.6, "humidity": 73.0, "wind_speed_kt": 2.9, "visibility_mi": null, "local_hour": 20.1}, "peak_status": "past", "prob_snapshot": [{"v": 32, "p": 1.0}], "shadow_prob_snapshot": [], "probability_engine": "legacy", "probability_mode": "legacy", "calibration_version": null, "calibration_source": null, "calibrated_mu": null, "calibrated_sigma": null}
+{"city": "ankara", "timestamp": "2026-04-12T02:00:00.000Z", "date": "2026-04-12", "temp_symbol": "°C", "raw_mu": 8.5, "raw_sigma": 1.0, "deb_prediction": 8.5, "ensemble": {"p10": null, "median": null, "p90": null}, "multi_model": {"Open-Meteo": 8.5}, "max_so_far": 2.0, "observation": {"current_temp": 0.0, "humidity": null, "wind_speed_kt": 2.0, "visibility_mi": null, "local_hour": 5.166666666666667}, "peak_status": "before", "prob_snapshot": [{"v": 8, "p": 0.35}, {"v": 9, "p": 0.35}, {"v": 10, "p": 0.139}, {"v": 7, "p": 0.139}], "shadow_prob_snapshot": [{"v": 9, "p": 0.359}, {"v": 8, "p": 0.359}, {"v": 7, "p": 0.132}, {"v": 10, "p": 0.132}], "probability_engine": "legacy", "probability_mode": "emos_shadow", "calibration_version": "emos-20260402162744", "calibration_source": "artifacts\\probability_calibration\\default.json", "calibrated_mu": 8.5, "calibrated_sigma": 0.955}
+{"city": "ankara", "timestamp": "2026-04-12T02:00:00.000Z", "date": "2026-04-12", "temp_symbol": "°C", "raw_mu": 8.93, "raw_sigma": 0.3515625000000001, "deb_prediction": 9.1, "ensemble": {"p10": 8.5, "median": 9.0, "p90": 9.4}, "multi_model": {"Open-Meteo": 8.5, "ECMWF": 7.9, "GFS": 10.0, "ICON": 8.5, "GEM": 8.9, "JMA": 9.2}, "max_so_far": 2.0, "observation": {"current_temp": 0.0, "humidity": null, "wind_speed_kt": 2.0, "visibility_mi": null, "local_hour": 5.166666666666667}, "peak_status": "before", "prob_snapshot": [{"v": 9, "p": 0.837}, {"v": 8, "p": 0.111}, {"v": 10, "p": 0.052}], "shadow_prob_snapshot": [{"v": 9, "p": 0.851}, {"v": 8, "p": 0.102}, {"v": 10, "p": 0.046}], "probability_engine": "legacy", "probability_mode": "emos_shadow", "calibration_version": "emos-20260402162744", "calibration_source": "artifacts\\probability_calibration\\default.json", "calibrated_mu": 8.93, "calibrated_sigma": 0.3389843750000001}
+{"city": "istanbul", "timestamp": "2026-04-12T04:50:00+03:00", "date": "2026-04-12", "temp_symbol": "°C", "raw_mu": 11.7, "raw_sigma": 1.0, "deb_prediction": 11.7, "ensemble": {"p10": null, "median": null, "p90": null}, "multi_model": {"Open-Meteo": 11.7}, "max_so_far": 8.0, "observation": {"current_temp": 7.0, "humidity": 52.7, "wind_speed_kt": 1.0, "visibility_mi": null, "local_hour": 5.183333333333334}, "peak_status": "before", "prob_snapshot": [{"v": 12, "p": 0.374}, {"v": 11, "p": 0.311}, {"v": 13, "p": 0.179}, {"v": 10, "p": 0.103}], "shadow_prob_snapshot": [{"v": 12, "p": 0.387}, {"v": 11, "p": 0.316}, {"v": 13, "p": 0.174}, {"v": 10, "p": 0.095}], "probability_engine": "legacy", "probability_mode": "emos_shadow", "calibration_version": "emos-20260402162744", "calibration_source": "artifacts\\probability_calibration\\default.json", "calibrated_mu": 11.7, "calibrated_sigma": 0.955}
+{"city": "istanbul", "timestamp": "2026-04-12T04:50:00+03:00", "date": "2026-04-12", "temp_symbol": "°C", "raw_mu": 11.52, "raw_sigma": 0.390625, "deb_prediction": 11.5, "ensemble": {"p10": 10.5, "median": 11.1, "p90": 11.5}, "multi_model": {"Open-Meteo": 11.7, "ECMWF": 11.9, "GFS": 11.1, "ICON": 11.7, "GEM": 12.8, "JMA": 10.1}, "max_so_far": 8.0, "observation": {"current_temp": 7.0, "humidity": 52.7, "wind_speed_kt": 1.0, "visibility_mi": null, "local_hour": 5.183333333333334}, "peak_status": "before", "prob_snapshot": [{"v": 12, "p": 0.52}, {"v": 11, "p": 0.48}], "shadow_prob_snapshot": [{"v": 12, "p": 0.521}, {"v": 11, "p": 0.479}], "probability_engine": "legacy", "probability_mode": "emos_shadow", "calibration_version": "emos-20260402162744", "calibration_source": "artifacts\\probability_calibration\\default.json", "calibrated_mu": 11.52, "calibrated_sigma": 0.37609375}
+{"city": "hong kong", "timestamp": "2026-04-12T10:00:00+08:00", "date": "2026-04-12", "temp_symbol": "°C", "raw_mu": 28.999999999999996, "raw_sigma": 0.75, "deb_prediction": 28.2, "ensemble": {"p10": null, "median": null, "p90": null}, "multi_model": {"Open-Meteo": 27.5, "HKO(港天文)": 29.0}, "max_so_far": 27.2, "observation": {"current_temp": 27.2, "humidity": 77.0, "wind_speed_kt": 5.4, "visibility_mi": null, "local_hour": 10.2}, "peak_status": "before", "prob_snapshot": [{"v": 28, "p": 0.412}, {"v": 29, "p": 0.412}, {"v": 27, "p": 0.088}, {"v": 30, "p": 0.088}], "shadow_prob_snapshot": [{"v": 28, "p": 0.413}, {"v": 29, "p": 0.413}, {"v": 27, "p": 0.087}, {"v": 30, "p": 0.087}], "probability_engine": "legacy", "probability_mode": "emos_shadow", "calibration_version": "emos-20260402162744", "calibration_source": "artifacts\\probability_calibration\\default.json", "calibrated_mu": 28.999999999999996, "calibrated_sigma": 0.7478013193453208}
+{"city": "hong kong", "timestamp": "2026-04-12T10:00:00+08:00", "date": "2026-04-12", "temp_symbol": "°C", "raw_mu": 27.71, "raw_sigma": 0.30937500000000073, "deb_prediction": 27.6, "ensemble": {"p10": 28.1, "median": 28.2, "p90": 28.5}, "multi_model": {"Open-Meteo": 27.5, "HKO(港天文)": 29.0, "ECMWF": 27.0, "GFS": 27.2, "ICON": 27.5, "GEM": 27.1, "JMA": 27.6}, "max_so_far": 27.2, "observation": {"current_temp": 27.2, "humidity": 77.0, "wind_speed_kt": 5.4, "visibility_mi": null, "local_hour": 10.2}, "peak_status": "before", "prob_snapshot": [{"v": 27, "p": 0.824}, {"v": 28, "p": 0.176}], "shadow_prob_snapshot": [{"v": 27, "p": 0.814}, {"v": 28, "p": 0.186}], "probability_engine": "legacy", "probability_mode": "emos_shadow", "calibration_version": "emos-20260402162744", "calibration_source": "artifacts\\probability_calibration\\default.json", "calibrated_mu": 27.71, "calibrated_sigma": 0.32103944874938267}
+{"city": "taipei", "timestamp": "2026-04-12T10:00:00+08:00", "date": "2026-04-12", "temp_symbol": "°C", "raw_mu": 30.9, "raw_sigma": 2.6999999999999993, "deb_prediction": 30.9, "ensemble": {"p10": null, "median": null, "p90": null}, "multi_model": {"Open-Meteo": 30.9}, "max_so_far": 29.2, "observation": {"current_temp": 29.2, "humidity": 64.0, "wind_speed_kt": 1.2, "visibility_mi": null, "local_hour": 10.2}, "peak_status": "before", "prob_snapshot": [{"v": 31, "p": 0.182}, {"v": 30, "p": 0.173}, {"v": 32, "p": 0.168}, {"v": 29, "p": 0.143}], "shadow_prob_snapshot": [{"v": 31, "p": 0.185}, {"v": 30, "p": 0.175}, {"v": 32, "p": 0.17}, {"v": 29, "p": 0.143}], "probability_engine": "legacy", "probability_mode": "emos_shadow", "calibration_version": "emos-20260402162744", "calibration_source": "artifacts\\probability_calibration\\default.json", "calibrated_mu": 30.9, "calibrated_sigma": 2.6381596739291915}
+{"city": "taipei", "timestamp": "2026-04-12T10:00:00+08:00", "date": "2026-04-12", "temp_symbol": "°C", "raw_mu": 30.689999999999998, "raw_sigma": 2.8574999999999995, "deb_prediction": 30.9, "ensemble": {"p10": 29.7, "median": 30.2, "p90": 30.6}, "multi_model": {"Open-Meteo": 30.9, "ECMWF": 30.9, "GFS": 32.9, "ICON": 30.9, "GEM": 28.9, "JMA": 30.8}, "max_so_far": 29.2, "observation": {"current_temp": 29.2, "humidity": 64.0, "wind_speed_kt": 1.2, "visibility_mi": null, "local_hour": 10.2}, "peak_status": "before", "prob_snapshot": [{"v": 31, "p": 0.179}, {"v": 30, "p": 0.175}, {"v": 32, "p": 0.163}, {"v": 29, "p": 0.152}], "shadow_prob_snapshot": [{"v": 31, "p": 0.183}, {"v": 30, "p": 0.178}, {"v": 32, "p": 0.165}, {"v": 29, "p": 0.153}], "probability_engine": "legacy", "probability_mode": "emos_shadow", "calibration_version": "emos-20260402162744", "calibration_source": "artifacts\\probability_calibration\\default.json", "calibrated_mu": 30.689999999999998, "calibrated_sigma": 2.778122088606427}
+{"city": "ankara", "timestamp": "2026-04-12T02:00:00.000Z", "date": "2026-04-12", "temp_symbol": "°C", "raw_mu": 8.5, "raw_sigma": 1.0, "deb_prediction": 8.5, "ensemble": {"p10": null, "median": null, "p90": null}, "multi_model": {"Open-Meteo": 8.5}, "max_so_far": 2.0, "observation": {"current_temp": 0.0, "humidity": null, "wind_speed_kt": 2.0, "visibility_mi": null, "local_hour": 5.216666666666667}, "peak_status": "before", "prob_snapshot": [{"v": 8, "p": 0.35}, {"v": 9, "p": 0.35}, {"v": 10, "p": 0.139}, {"v": 7, "p": 0.139}], "shadow_prob_snapshot": [{"v": 9, "p": 0.359}, {"v": 8, "p": 0.359}, {"v": 7, "p": 0.132}, {"v": 10, "p": 0.132}], "probability_engine": "legacy", "probability_mode": "emos_shadow", "calibration_version": "emos-20260402162744", "calibration_source": "artifacts\\probability_calibration\\default.json", "calibrated_mu": 8.5, "calibrated_sigma": 0.955}
+{"city": "istanbul", "timestamp": "2026-04-12T04:50:00+03:00", "date": "2026-04-12", "temp_symbol": "°C", "raw_mu": 11.7, "raw_sigma": 1.0, "deb_prediction": 11.7, "ensemble": {"p10": null, "median": null, "p90": null}, "multi_model": {"Open-Meteo": 11.7}, "max_so_far": 8.0, "observation": {"current_temp": 7.0, "humidity": 52.7, "wind_speed_kt": 1.0, "visibility_mi": null, "local_hour": 5.233333333333333}, "peak_status": "before", "prob_snapshot": [{"v": 12, "p": 0.374}, {"v": 11, "p": 0.311}, {"v": 13, "p": 0.179}, {"v": 10, "p": 0.103}], "shadow_prob_snapshot": [{"v": 12, "p": 0.387}, {"v": 11, "p": 0.316}, {"v": 13, "p": 0.174}, {"v": 10, "p": 0.095}], "probability_engine": "legacy", "probability_mode": "emos_shadow", "calibration_version": "emos-20260402162744", "calibration_source": "artifacts\\probability_calibration\\default.json", "calibrated_mu": 11.7, "calibrated_sigma": 0.955}
+{"city": "ankara", "timestamp": "2026-04-12T02:00:00.000Z", "date": "2026-04-12", "temp_symbol": "°C", "raw_mu": 8.93, "raw_sigma": 0.3515625000000001, "deb_prediction": 9.1, "ensemble": {"p10": 8.5, "median": 9.0, "p90": 9.4}, "multi_model": {"Open-Meteo": 8.5, "ECMWF": 7.9, "GFS": 10.0, "ICON": 8.5, "GEM": 8.9, "JMA": 9.2}, "max_so_far": 2.0, "observation": {"current_temp": 0.0, "humidity": null, "wind_speed_kt": 2.0, "visibility_mi": null, "local_hour": 5.25}, "peak_status": "before", "prob_snapshot": [{"v": 9, "p": 0.837}, {"v": 8, "p": 0.111}, {"v": 10, "p": 0.052}], "shadow_prob_snapshot": [{"v": 9, "p": 0.851}, {"v": 8, "p": 0.102}, {"v": 10, "p": 0.046}], "probability_engine": "legacy", "probability_mode": "emos_shadow", "calibration_version": "emos-20260402162744", "calibration_source": "artifacts\\probability_calibration\\default.json", "calibrated_mu": 8.93, "calibrated_sigma": 0.3389843750000001}
+{"city": "istanbul", "timestamp": "2026-04-12T04:50:00+03:00", "date": "2026-04-12", "temp_symbol": "°C", "raw_mu": 11.52, "raw_sigma": 0.390625, "deb_prediction": 11.5, "ensemble": {"p10": 10.5, "median": 11.1, "p90": 11.5}, "multi_model": {"Open-Meteo": 11.7, "ECMWF": 11.9, "GFS": 11.1, "ICON": 11.7, "GEM": 12.8, "JMA": 10.1}, "max_so_far": 8.0, "observation": {"current_temp": 7.0, "humidity": 52.7, "wind_speed_kt": 1.0, "visibility_mi": null, "local_hour": 5.25}, "peak_status": "before", "prob_snapshot": [{"v": 12, "p": 0.52}, {"v": 11, "p": 0.48}], "shadow_prob_snapshot": [{"v": 12, "p": 0.521}, {"v": 11, "p": 0.479}], "probability_engine": "legacy", "probability_mode": "emos_shadow", "calibration_version": "emos-20260402162744", "calibration_source": "artifacts\\probability_calibration\\default.json", "calibrated_mu": 11.52, "calibrated_sigma": 0.37609375}
+{"city": "taipei", "timestamp": "2026-04-12T10:00:00+08:00", "date": "2026-04-12", "temp_symbol": "°C", "raw_mu": 30.9, "raw_sigma": 2.6999999999999993, "deb_prediction": 30.9, "ensemble": {"p10": null, "median": null, "p90": null}, "multi_model": {"Open-Meteo": 30.9}, "max_so_far": 29.2, "observation": {"current_temp": 29.2, "humidity": 64.0, "wind_speed_kt": 1.2, "visibility_mi": null, "local_hour": 10.283333333333333}, "peak_status": "before", "prob_snapshot": [{"v": 31, "p": 0.182}, {"v": 30, "p": 0.173}, {"v": 32, "p": 0.168}, {"v": 29, "p": 0.143}], "shadow_prob_snapshot": [{"v": 31, "p": 0.185}, {"v": 30, "p": 0.175}, {"v": 32, "p": 0.17}, {"v": 29, "p": 0.143}], "probability_engine": "legacy", "probability_mode": "emos_shadow", "calibration_version": "emos-20260402162744", "calibration_source": "artifacts\\probability_calibration\\default.json", "calibrated_mu": 30.9, "calibrated_sigma": 2.6381596739291915}
+{"city": "hong kong", "timestamp": "2026-04-12T10:00:00+08:00", "date": "2026-04-12", "temp_symbol": "°C", "raw_mu": 28.999999999999996, "raw_sigma": 0.75, "deb_prediction": 28.2, "ensemble": {"p10": null, "median": null, "p90": null}, "multi_model": {"Open-Meteo": 27.5, "HKO(港天文)": 29.0}, "max_so_far": 27.2, "observation": {"current_temp": 27.2, "humidity": 77.0, "wind_speed_kt": 5.4, "visibility_mi": null, "local_hour": 10.283333333333333}, "peak_status": "before", "prob_snapshot": [{"v": 28, "p": 0.412}, {"v": 29, "p": 0.412}, {"v": 27, "p": 0.088}, {"v": 30, "p": 0.088}], "shadow_prob_snapshot": [{"v": 28, "p": 0.413}, {"v": 29, "p": 0.413}, {"v": 27, "p": 0.087}, {"v": 30, "p": 0.087}], "probability_engine": "legacy", "probability_mode": "emos_shadow", "calibration_version": "emos-20260402162744", "calibration_source": "artifacts\\probability_calibration\\default.json", "calibrated_mu": 28.999999999999996, "calibrated_sigma": 0.7478013193453208}
+{"city": "taipei", "timestamp": "2026-04-12T10:00:00+08:00", "date": "2026-04-12", "temp_symbol": "°C", "raw_mu": 30.689999999999998, "raw_sigma": 2.8574999999999995, "deb_prediction": 30.9, "ensemble": {"p10": 29.7, "median": 30.2, "p90": 30.6}, "multi_model": {"Open-Meteo": 30.9, "ECMWF": 30.9, "GFS": 32.9, "ICON": 30.9, "GEM": 28.9, "JMA": 30.8}, "max_so_far": 29.2, "observation": {"current_temp": 29.2, "humidity": 64.0, "wind_speed_kt": 1.2, "visibility_mi": null, "local_hour": 10.283333333333333}, "peak_status": "before", "prob_snapshot": [{"v": 31, "p": 0.179}, {"v": 30, "p": 0.175}, {"v": 32, "p": 0.163}, {"v": 29, "p": 0.152}], "shadow_prob_snapshot": [{"v": 31, "p": 0.183}, {"v": 30, "p": 0.178}, {"v": 32, "p": 0.165}, {"v": 29, "p": 0.153}], "probability_engine": "legacy", "probability_mode": "emos_shadow", "calibration_version": "emos-20260402162744", "calibration_source": "artifacts\\probability_calibration\\default.json", "calibrated_mu": 30.689999999999998, "calibrated_sigma": 2.778122088606427}
+{"city": "hong kong", "timestamp": "2026-04-12T10:00:00+08:00", "date": "2026-04-12", "temp_symbol": "°C", "raw_mu": 27.71, "raw_sigma": 0.30937500000000073, "deb_prediction": 27.6, "ensemble": {"p10": 28.1, "median": 28.2, "p90": 28.5}, "multi_model": {"Open-Meteo": 27.5, "HKO(港天文)": 29.0, "ECMWF": 27.0, "GFS": 27.2, "ICON": 27.5, "GEM": 27.1, "JMA": 27.6}, "max_so_far": 27.2, "observation": {"current_temp": 27.2, "humidity": 77.0, "wind_speed_kt": 5.4, "visibility_mi": null, "local_hour": 10.283333333333333}, "peak_status": "before", "prob_snapshot": [{"v": 27, "p": 0.824}, {"v": 28, "p": 0.176}], "shadow_prob_snapshot": [{"v": 27, "p": 0.814}, {"v": 28, "p": 0.186}], "probability_engine": "legacy", "probability_mode": "emos_shadow", "calibration_version": "emos-20260402162744", "calibration_source": "artifacts\\probability_calibration\\default.json", "calibrated_mu": 27.71, "calibrated_sigma": 0.32103944874938267}

frontend/hooks/useDashboardStore.tsx

@@ -92,8 +92,38 @@ function getMarketScanCacheKey(cityName: string, targetDate?: string | null) {
 
 const SELECTED_CITY_STORAGE_KEY = "polyWeather_selected_city_v1";
 const BACKGROUND_SUMMARY_REFRESH_MS = 30_000;
-const EAGER_CITY_SUMMARIES_ENABLED =
+const EAGER_CITY_SUMMARIES_DISABLED =
-  process.env.NEXT_PUBLIC_POLYWEATHER_EAGER_CITY_SUMMARIES === "true";
+  process.env.NEXT_PUBLIC_POLYWEATHER_DISABLE_EAGER_SUMMARIES === "true";
+const EAGER_SUMMARY_PRIORITY_CONCURRENCY = 3;
+const EAGER_SUMMARY_BACKGROUND_CONCURRENCY = 2;
+const EAGER_SUMMARY_BACKGROUND_IDLE_TIMEOUT_MS = 1200;
+const EAGER_SUMMARY_PRIORITY_CITY_ORDER = [
+  "hong kong",
+  "taipei",
+  "shanghai",
+  "beijing",
+  "wuhan",
+  "shenzhen",
+  "chengdu",
+  "chongqing",
+  "seoul",
+  "busan",
+  "tokyo",
+  "singapore",
+  "kuala lumpur",
+  "jakarta",
+  "tel aviv",
+  "jeddah",
+  "istanbul",
+  "moscow",
+  "helsinki",
+  "warsaw",
+  "amsterdam",
+  "london",
+  "paris",
+  "milan",
+  "madrid",
+] as const;
 type CityDetailDepth = "panel" | "full";
 
 function countAvailableModels(
@@ -146,6 +176,57 @@ function detailSatisfiesDepth(
   return normalizeDetailDepth(detail) === "full";
 }
 
+function getStoredSelectedCityName(cities: CityListItem[]) {
+  if (typeof window === "undefined") return null;
+  const stored = String(
+    window.localStorage.getItem(SELECTED_CITY_STORAGE_KEY) || "",
+  )
+    .trim()
+    .toLowerCase();
+  if (!stored) return null;
+  if (!cities.some((city) => city.name === stored)) return null;
+  return stored;
+}
+
+function getPriorityPreloadCities(cities: CityListItem[]) {
+  const citySet = new Set(cities.map((city) => city.name));
+  return EAGER_SUMMARY_PRIORITY_CITY_ORDER.filter((cityName) =>
+    citySet.has(cityName)
+  );
+}
+
+function scheduleWhenBrowserIdle(callback: () => void) {
+  if (typeof window === "undefined") {
+    callback();
+    return () => {};
+  }
+
+  const browserWindow = window as Window & {
+    requestIdleCallback?: (
+      cb: IdleRequestCallback,
+      options?: IdleRequestOptions,
+    ) => number;
+    cancelIdleCallback?: (handle: number) => void;
+  };
+
+  if (typeof browserWindow.requestIdleCallback === "function") {
+    const handle = browserWindow.requestIdleCallback(
+      () => callback(),
+      { timeout: EAGER_SUMMARY_BACKGROUND_IDLE_TIMEOUT_MS },
+    );
+    return () => {
+      if (typeof browserWindow.cancelIdleCallback === "function") {
+        browserWindow.cancelIdleCallback(handle);
+      }
+    };
+  }
+
+  const timeoutId = window.setTimeout(callback, 400);
+  return () => {
+    window.clearTimeout(timeoutId);
+  };
+}
+
 export function DashboardStoreProvider({
   children,
 }: {
@@ -188,6 +269,9 @@ export function DashboardStoreProvider({
   const hydratedSelectionRef = useRef(false);
   const hydratedProCacheRef = useRef(false);
   const backgroundSummaryCheckAtRef = useRef<Record<string, number>>({});
+  const summaryInflightByCityRef = useRef<Record<string, Promise<CitySummary>>>(
+    {},
+  );
   const citySummariesRef = useRef<Record<string, CitySummary>>({});
   const selectedCityRef = useRef<string | null>(null);
   const selectedDetail =
@@ -529,6 +613,54 @@ export function DashboardStoreProvider({
     void refreshProAccess();
   }, []);
 
+  const ensureCitySummary = async (cityName: string, force = false) => {
+    const existing = citySummariesRef.current[cityName];
+    if (!force && existing) {
+      return existing;
+    }
+
+    const inflight = summaryInflightByCityRef.current[cityName];
+    if (inflight) {
+      const settled = await inflight;
+      if (!force) {
+        return settled;
+      }
+    }
+
+    const request = dashboardClient
+      .getCitySummary(cityName, { force })
+      .then((summary) => {
+        setCitySummariesByName((current) => {
+          const currentSummary = current[cityName];
+          const currentRevision = getCityRevision(currentSummary);
+          const nextRevision = getCityRevision(summary);
+          if (
+            currentSummary &&
+            currentRevision &&
+            nextRevision &&
+            currentRevision === nextRevision
+          ) {
+            return current;
+          }
+          const next = {
+            ...current,
+            [cityName]: summary,
+          };
+          citySummariesRef.current = next;
+          return next;
+        });
+        return summary;
+      })
+      .finally(() => {
+        if (summaryInflightByCityRef.current[cityName] === request) {
+          delete summaryInflightByCityRef.current[cityName];
+        }
+      });
+
+    summaryInflightByCityRef.current[cityName] = request;
+    return request;
+  };
+
   useEffect(() => {
     if (proAccess.loading || !proAccess.authenticated || !proAccess.userId) {
       return;
@@ -563,64 +695,72 @@ export function DashboardStoreProvider({
   ]);
 
   useEffect(() => {
-    if (!EAGER_CITY_SUMMARIES_ENABLED) return;
+    if (EAGER_CITY_SUMMARIES_DISABLED) return;
     if (!cities.length) return;
+    if (loadingState.refresh) return;
 
-    const queue = cities
+    const priorityQueue: string[] = [];
-      .map((city) => city.name)
+    const backgroundQueue: string[] = [];
-      .filter((cityName) => !citySummariesRef.current[cityName]);
+    const queued = new Set<string>();
-    if (!queue.length) return;
+    const enqueue = (cityName: string | null, queue: string[]) => {
-
+      if (!cityName || queued.has(cityName) || citySummariesRef.current[cityName]) {
-    let active = true;
+        return;
-    const concurrency = 4;
-    let cursor = 0;
-
-    const worker = async () => {
-      while (active && cursor < queue.length) {
-        const cityName = queue[cursor];
-        cursor += 1;
-        if (citySummariesRef.current[cityName]) continue;
-
-        try {
-          const summary = await dashboardClient.getCitySummary(cityName);
-          if (!active) return;
-
-          setCitySummariesByName((current) => {
-            if (current[cityName]) return current;
-            const next = {
-              ...current,
-              [cityName]: summary,
-            };
-            citySummariesRef.current = next;
-            return next;
-          });
-        } catch {}
       }
+      queued.add(cityName);
+      queue.push(cityName);
     };
 
-    void Promise.all(
+    enqueue(getStoredSelectedCityName(cities), priorityQueue);
-      Array.from({ length: Math.min(concurrency, queue.length) }, () =>
+    getPriorityPreloadCities(cities).forEach((cityName) => {
-        worker(),
+      enqueue(cityName, priorityQueue);
-      ),
+    });
-    );
+    cities.forEach((city) => {
+      enqueue(city.name, backgroundQueue);
+    });
+
+    if (!priorityQueue.length && !backgroundQueue.length) return;
+
+    let active = true;
+    let cancelIdleSchedule = () => {};
+    const runQueue = async (queue: string[], concurrency: number) => {
+      if (!queue.length) return;
+      let cursor = 0;
+      const worker = async () => {
+        while (active && cursor < queue.length) {
+          const cityName = queue[cursor];
+          cursor += 1;
+          if (citySummariesRef.current[cityName]) continue;
+
+          try {
+            await ensureCitySummary(cityName);
+          } catch {}
+        }
+      };
+
+      await Promise.all(
+        Array.from({ length: Math.min(concurrency, queue.length) }, () =>
+          worker()
+        ),
+      );
+    };
+
+    void (async () => {
+      await runQueue(priorityQueue, EAGER_SUMMARY_PRIORITY_CONCURRENCY);
+      if (!active) return;
+      cancelIdleSchedule = scheduleWhenBrowserIdle(() => {
+        if (!active) return;
+        void runQueue(
+          backgroundQueue,
+          EAGER_SUMMARY_BACKGROUND_CONCURRENCY,
+        );
+      });
+    })();
 
     return () => {
       active = false;
+      cancelIdleSchedule();
     };
-  }, [cities]);
+  }, [cities, loadingState.refresh]);
-
-  const ensureCitySummary = async (cityName: string, force = false) => {
-    const existing = citySummariesRef.current[cityName];
-    if (!force && existing) {
-      return existing;
-    }
-    const summary = await dashboardClient.getCitySummary(cityName, { force });
-    setCitySummariesByName((current) => ({
-      ...current,
-      [cityName]: summary,
-    }));
-    return summary;
-  };
 
   const selectCity = async (cityName: string) => {
     setSelectedCity(cityName);
@@ -753,9 +893,7 @@ export function DashboardStoreProvider({
           });
           setSelectedForecastDate(detail.local_date);
         } else {
-          const summary = await dashboardClient.getCitySummary(selectedCity, {
+          const summary = await ensureCitySummary(selectedCity, true);
-            force: true,
-          });
           setCitySummariesByName((current) => ({
             ...current,
             [selectedCity]: summary,

web/analysis_service.py

@@ -84,6 +84,36 @@ def _analysis_ttl_for_city(city: str) -> int:
     return CACHE_TTL_ANKARA if city.lower() in TURKISH_MGM_CITIES else CACHE_TTL
 
 
+def _analysis_cache_key(city: str, detail_mode: str = "full") -> str:
+    normalized_mode = "panel" if str(detail_mode or "").strip().lower() == "panel" else "full"
+    return f"{city}::{normalized_mode}"
+
+
+def _get_cached_analysis(
+    city: str,
+    ttl: int,
+    detail_modes: tuple[str, ...] = ("panel", "full"),
+) -> Optional[Dict[str, Any]]:
+    now_ts = _time.time()
+    freshest_payload: Optional[Dict[str, Any]] = None
+    freshest_ts = 0.0
+    for detail_mode in detail_modes:
+        cached = _cache.get(_analysis_cache_key(city, detail_mode))
+        if not cached:
+            continue
+        cached_ts = float(cached.get("t", 0))
+        payload = cached.get("d")
+        if (
+            cached_ts
+            and now_ts - cached_ts < ttl
+            and isinstance(payload, dict)
+            and cached_ts >= freshest_ts
+        ):
+            freshest_payload = payload
+            freshest_ts = cached_ts
+    return freshest_payload
+
+
 def _get_cached_summary(city: str, ttl: int) -> Optional[Dict[str, Any]]:
     now_ts = _time.time()
     with _SUMMARY_CACHE_LOCK:
@@ -1055,9 +1085,11 @@ def _analyze(
     """Fetch, analyse, and return structured weather data for one city."""
     # Check cache
     ttl = CACHE_TTL_ANKARA if city.lower() in TURKISH_MGM_CITIES else CACHE_TTL
+    normalized_detail_mode = "panel" if str(detail_mode or "full").strip().lower() == "panel" else "full"
+    cache_key = _analysis_cache_key(city, normalized_detail_mode)
     
     if not force_refresh:
-        cached = _cache.get(city)
+        cached = _cache.get(cache_key)
         if cached and _time.time() - cached["t"] < ttl:
             if include_llm_commentary:
                 cached_payload = cached["d"]
@@ -1081,7 +1113,7 @@ def _analyze(
     )
 
     # ── 1. Fetch raw data ──
-    is_panel_mode = str(detail_mode or "full").strip().lower() == "panel"
+    is_panel_mode = normalized_detail_mode == "panel"
 
     raw = _weather.fetch_all_sources(
         city,
@@ -1875,7 +1907,7 @@ def _analyze(
             result,
         )
 
-    _cache[city] = {"t": _time.time(), "d": result}
+    _cache[cache_key] = {"t": _time.time(), "d": result}
     return result
 
 
@@ -1891,9 +1923,9 @@ def _analyze_summary(city: str, force_refresh: bool = False) -> Dict[str, Any]:
     ttl = _analysis_ttl_for_city(city)
 
     if not force_refresh:
-        cached_detail = _cache.get(city)
+        cached_detail = _get_cached_analysis(city, ttl)
-        if cached_detail and _time.time() - cached_detail["t"] < ttl:
+        if cached_detail:
-            return cached_detail["d"]
+            return cached_detail
         cached_summary = _get_cached_summary(city, ttl)
         if cached_summary:
             return cached_summary