Version 1.1.1: Regen via /weather/rain-daily, days relativ zu heute

- Regenberechnung nutzt neuen API-Endpunkt statt kumulativem Rohzähler
- days-Parameter relativ zu heute: funktioniert korrekt auch bei
  Aufruf mitten im Monat (z.B. 5.6. → zeigt trotzdem Mai komplett)
- Erster Tag des Folgemonats weiterhin im Chart sichtbar

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>

pyproject.toml

@@ -1,5 +1,5 @@
 [project]
 name = "weather2oag"
-version = "1.1.0"
+version = "1.1.1"
 description = "Monatlicher Wetterbericht der Sternwarte Welzheim"
 requires-python = ">=3.12"

weather_report.py

@@ -4,7 +4,7 @@
 import os
 import smtplib
 import tempfile
-from collections import defaultdict
+
 from datetime import datetime, timedelta, timezone
 from email.mime.image import MIMEImage
 from email.mime.multipart import MIMEMultipart
@@ -48,8 +48,8 @@ plt.rcParams.update({
 def last_month_range() -> tuple[datetime, datetime, str]:
     today = datetime.now(timezone.utc)
     first_of_this = today.replace(day=1, hour=0, minute=0, second=0, microsecond=0)
-    end = first_of_this - timedelta(seconds=1)
-    start = end.replace(day=1, hour=0, minute=0, second=0, microsecond=0)
+    start = (first_of_this - timedelta(days=1)).replace(day=1, hour=0, minute=0, second=0, microsecond=0)
+    end = first_of_this + timedelta(days=1)  # inkl. 1. Folgemonat
     label = f"{MONTHS_DE[start.month - 1]} {start.year}"
     return start, end, label
 
@@ -85,23 +85,19 @@ def _data_temp_hourly(start: datetime, end: datetime):
 
 
 def _data_rain_daily(start: datetime, end: datetime):
-    data = fetch("/weather/range", {
-        "start": start.isoformat(), "end": end.isoformat(), "limit": 50000,
-    })
-    by_day: dict[str, list[float]] = defaultdict(list)
+    today = datetime.now(timezone.utc).replace(hour=0, minute=0, second=0, microsecond=0)
+    days = min((today - start).days + 2, 365)
+    data = fetch("/weather/rain-daily", {"days": days})
+    pairs = []
     for d in data:
-        if d.get("rain") is not None:
-            by_day[parse_dt(d["datetime"]).strftime("%Y-%m-%d")].append(d["rain"])
-
-    dates, rain = [], []
-    for day_key in sorted(by_day):
-        vals = by_day[day_key]
-        daily = max(vals) - min(vals)
-        if daily < 0:
-            daily = max(vals)
-        dates.append(datetime.fromisoformat(day_key).replace(tzinfo=timezone.utc))
-        rain.append(round(daily, 1))
-    return dates, rain
+        day_dt = parse_dt(d["date"]).replace(hour=0, minute=0, second=0, microsecond=0)
+        if start <= day_dt < end:
+            pairs.append((day_dt, round(d["total_rain"], 1)))
+    pairs.sort()
+    if not pairs:
+        return [], []
+    dates, rain = zip(*pairs)
+    return list(dates), list(rain)
 
 
 def create_combined_chart(start: datetime, end: datetime, label: str) -> bytes:
@@ -121,7 +117,7 @@ def create_combined_chart(start: datetime, end: datetime, label: str) -> bytes:
     ax.fill_between(dates_mm, t_min, t_max, alpha=0.12, color="#888888")
     ax.set_title("Temperaturverlauf (Tages-Min / Tages-Max)", fontweight="bold", pad=10)
     ax.set_ylabel("Temperatur (°C)")
-    ax.set_xlim(start, end)
+    ax.set_xlim(start - timedelta(hours=12), end + timedelta(hours=12))
     ax.xaxis.set_major_formatter(mdates.DateFormatter("%d.%m."))
     ax.xaxis.set_major_locator(mdates.DayLocator(interval=3))
     plt.setp(ax.get_xticklabels(), rotation=0, ha="center")
@@ -132,7 +128,7 @@ def create_combined_chart(start: datetime, end: datetime, label: str) -> bytes:
     ax.plot(dates_h, temps, color="#2a7be0", linewidth=1.5, label="Stundenmittel")
     ax.set_title("Temperaturverlauf (Stundenmittel)", fontweight="bold", pad=10)
     ax.set_ylabel("Temperatur (°C)")
-    ax.set_xlim(start, end)
+    ax.set_xlim(start - timedelta(hours=12), end + timedelta(hours=12))
     ax.xaxis.set_major_formatter(mdates.DateFormatter("%d.%m."))
     ax.xaxis.set_major_locator(mdates.DayLocator(interval=3))
     plt.setp(ax.get_xticklabels(), rotation=0, ha="center")