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feat: implement PolyWeather dashboard with map UI, data collection, analysis, and comprehensive documentation.

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This commit is contained in:
2569718930@qq.com
2026-03-10 09:02:56 +08:00
parent aab4477ab3
commit 396c373cba
18 changed files with 2398 additions and 634 deletions
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src/utils/telegram_push.py
+29 -2
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@@ -117,6 +117,12 @@ def _trigger_type_key(alert_payload: Dict[str, Any]) -> str:
for alert in (alert_payload.get("triggered_alerts") or [])
if alert.get("type")
)
market = alert_payload.get("market_snapshot") or {}
if isinstance(market, dict) and market.get("available"):
signal = str(market.get("signal_label") or "").strip()
bucket = str(market.get("selected_bucket") or "").strip()
if signal:
trigger_types.append(f"mkt:{signal}:{bucket}")
return "|".join(trigger_types)
@@ -127,6 +133,7 @@ def _alert_signature(alert_payload: Dict[str, Any]) -> str:
breakthrough = rules.get("forecast_breakthrough") or {}
advection = rules.get("advection") or {}
suppression = alert_payload.get("suppression") or {}
market = alert_payload.get("market_snapshot") or {}
signature_payload = {
"city": alert_payload.get("city"),
@@ -149,6 +156,18 @@ def _alert_signature(alert_payload: Dict[str, Any]) -> str:
"suppression_reason": suppression.get("reason"),
"suppression_peak_time": suppression.get("max_temp_time"),
"suppression_rollback": round(float(suppression.get("rollback") or 0.0), 1),
"market_available": bool(market.get("available")),
"market_bucket": market.get("selected_bucket"),
"market_top_bucket": market.get("top_bucket"),
"market_top_bucket_prob": round(float(market.get("top_bucket_prob") or 0.0), 3),
"market_prob": round(float(market.get("market_prob") or 0.0), 3),
"model_prob": round(float(market.get("model_prob") or 0.0), 3),
"market_yes_buy": round(float(market.get("yes_buy") or 0.0), 3),
"market_yes_sell": round(float(market.get("yes_sell") or 0.0), 3),
"market_spread": round(float(market.get("spread") or 0.0), 3),
"market_edge_percent": round(float(market.get("edge_percent") or 0.0), 2),
"market_signal": market.get("signal_label"),
"market_confidence": market.get("confidence"),
}
raw = json.dumps(signature_payload, sort_keys=True, ensure_ascii=True)
return hashlib.sha1(raw.encode("utf-8")).hexdigest()
@@ -160,10 +179,18 @@ def build_trade_alert_for_city(
force_refresh: bool = False,
target_date: Optional[str] = None,
) -> Dict[str, Any]:
from web.app import _analyze
from web.app import _analyze, _build_city_detail_payload
from src.analysis.market_alert_engine import build_trading_alerts
city_weather = _analyze(city, force_refresh=force_refresh)
try:
aggregate_detail = _build_city_detail_payload(city_weather)
market_scan = aggregate_detail.get("market_scan")
if isinstance(market_scan, dict):
city_weather = {**city_weather, "market_scan": market_scan}
except Exception as exc:
logger.debug(f"market scan attach skipped city={city}: {exc}")
resolved_target_date = target_date or city_weather.get("local_date")
if resolved_target_date:
datetime.strptime(resolved_target_date, "%Y-%m-%d")
@@ -212,7 +239,7 @@ def _maybe_send_alert(
last_sig_ts = int((state.get("by_signature") or {}).get(signature) or 0)
last_city_active = bool(last_city.get("active"))
if last_city_active and last_city_key == trigger_key:
if last_city_active and last_city_key == trigger_key and last_city_sig == signature:
return False
if last_city_ts and now_ts - last_city_ts < cooldown_sec: