修复 analysis_service.py 语法错误 + scan.py Python 3.8 兼容

web/analysis_service.py

@@ -1,7 +1,8 @@
 from __future__ import annotations
 
+import re
 import time as _time
-import threading as _threading
+import threading
 from concurrent.futures import ThreadPoolExecutor
 from datetime import datetime, timezone, timedelta
 from typing import Dict, Any, Optional
@@ -42,15 +43,8 @@ from web.services.analysis_utils import (
     add_signal as _add_signal,
     bucket_label as _bucket_label,
     bucket_label_from_value as _bucket_label_from_value,
-    dedupe_forecast_daily as _dedupe_forecast_daily,
     format_clock_minutes as _format_clock_minutes,
-    format_observation_time_local as _format_observation_time_local,
-    is_plausible_city_temp as _is_plausible_city_temp,
-    metar_is_current_local_day as _metar_is_current_local_day,
-    mgm_hourly_high as _mgm_hourly_high,
     next_observation_clock as _next_observation_clock,
-    parse_local_hour as _parse_local_hour,
-    parse_utc_datetime as _parse_utc_datetime,
     top_probability_bucket as _top_probability_bucket,
 )
 from web.services.analysis_signals import (
@@ -85,7 +79,20 @@ HIGH_FREQ_AIRPORT_ANALYSIS_CITIES = {
     "wuhan",
 }
 
-_ANALYSIS_CACHE_STATS_LOCK = _threading.Lock()
+
+def _mgm_hourly_high(mgm: Dict[str, Any]) -> Optional[float]:
+    hourly = mgm.get("hourly") if isinstance(mgm, dict) else []
+    if not isinstance(hourly, list):
+        return None
+    values = []
+    for row in hourly:
+        if not isinstance(row, dict):
+            continue
+        value = _sf(row.get("temp"))
+        if value is not None:
+            values.append(value)
+    return max(values) if values else None
+_ANALYSIS_CACHE_STATS_LOCK = threading.Lock()
 _ANALYSIS_CACHE_STATS: Dict[str, Any] = {
     "total_requests": 0,
     "cache_hits": 0,
@@ -95,14 +102,105 @@ _ANALYSIS_CACHE_STATS: Dict[str, Any] = {
     "last_cache_miss_at": None,
     "last_city": None,
 }
-_SUMMARY_CACHE_LOCK = _threading.Lock()
+_SUMMARY_CACHE_LOCK = threading.Lock()
-_SUMMARY_CACHE = LRUDict(maxsize=128)
+_SUMMARY_CACHE_MAXSIZE = 128
+_SUMMARY_CACHE = LRUDict(maxsize=_SUMMARY_CACHE_MAXSIZE)
+def _dedupe_forecast_daily(rows: Any) -> list[Dict[str, Any]]:
+    if not isinstance(rows, list):
+        return []
+    seen = set()
+    out = []
+    for row in rows:
+        if not isinstance(row, dict):
+            continue
+        date = str(row.get("date") or "").strip()
+        if not date or date in seen:
+            continue
+        seen.add(date)
+        out.append(row)
+    return out
+
+
+def _format_observation_time_local(value: Any, utc_offset: int) -> str:
+    raw = str(value or "").strip()
+    if not raw:
+        return ""
+    if "T" in raw:
+        try:
+            dt = datetime.fromisoformat(raw.replace("Z", "+00:00"))
+            if dt.tzinfo is None:
+                dt = dt.replace(tzinfo=timezone.utc)
+            return dt.astimezone(timezone(timedelta(seconds=utc_offset))).strftime("%H:%M")
+        except Exception:
+            pass
+    match = re.search(r"(\d{1,2}):(\d{2})", raw)
+    if match:
+        return f"{int(match.group(1)):02d}:{match.group(2)}"
+    return raw[:16]
 
 
 def _fetch_nmc_current_fallback(city: str, *, use_fahrenheit: bool) -> Dict[str, Any]:
     return {}
 
 
+def _is_plausible_city_temp(city: str, value: Any, unit: str = "°C") -> bool:
+    temp = _sf(value)
+    if temp is None:
+        return False
+    meta = CITY_REGISTRY.get(str(city or "").strip().lower(), {}) or {}
+    min_c = _sf(meta.get("min_plausible_metar_temp_c"))
+    if min_c is None:
+        return True
+    min_value = min_c * 9 / 5 + 32 if str(unit or "").upper().endswith("F") else min_c
+    return temp >= min_value
+
+
+def _parse_local_hour(local_time_str: Optional[str]) -> Optional[int]:
+    if not local_time_str:
+        return None
+    try:
+        parts = str(local_time_str).strip().split(":")
+        hour = int(parts[0])
+        if 0 <= hour <= 23:
+            return hour
+    except Exception:
+        pass
+    return None
+
+
+def _parse_utc_datetime(value: Any) -> Optional[datetime]:
+    raw = str(value or "").strip()
+    if not raw or "T" not in raw:
+        return None
+    try:
+        dt = datetime.fromisoformat(raw.replace("Z", "+00:00"))
+    except Exception:
+        return None
+    if dt.tzinfo is None:
+        dt = dt.replace(tzinfo=timezone.utc)
+    return dt.astimezone(timezone.utc)
+
+
+def _metar_is_current_local_day(
+    metar: Dict[str, Any],
+    *,
+    local_date: str,
+    utc_offset: int,
+) -> bool:
+    if not isinstance(metar, dict) or not metar:
+        return False
+    if metar.get("stale_for_today") is True:
+        return False
+    observation_local_date = str(metar.get("observation_local_date") or "").strip()
+    if observation_local_date:
+        return observation_local_date == local_date
+    obs_dt = _parse_utc_datetime(metar.get("observation_time"))
+    if obs_dt is None:
+        return True
+    local_dt = obs_dt.astimezone(timezone(timedelta(seconds=utc_offset)))
+    return local_dt.strftime("%Y-%m-%d") == local_date
+
+
 def _record_analysis_cache_event(*, city: str, hit: bool, force_refresh: bool) -> None:
     now = datetime.now(timezone.utc).isoformat()
     with _ANALYSIS_CACHE_STATS_LOCK: