deploy: Typos

24h: Mitternacht als DD.MM (blau), sonst HH:MM per tickPositioner.
7d: nur bei 0-Uhr beschriftet, waagerecht. 30d: alle 5 Tage.
365d: nur Monatsnummer (MM), monatliche Ticks.

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

api/README.md

@@ -289,6 +289,7 @@ Die aggregierten Endpunkte sind optimiert für Langzeit-Visualisierungen und red
 ---
 
 #### `GET /weather/rain-weekly`
+
 **Gibt wöchentliche Regensummen zurück (Woche = Mo-So)**
 
 **Query Parameter:**

api/main.py

@@ -270,11 +270,17 @@ async def get_weather_statistics(
                 AVG(pressure) as avg_pressure,
                 AVG(wind_speed * 1.60934) as avg_wind_speed,
                 MAX(wind_gust * 1.60934) as max_wind_gust,
-                SUM(rain) as total_rain,
+                (SELECT COALESCE(SUM(daily_max), 0)
+                 FROM (
+                     SELECT MAX(rain) as daily_max
+                     FROM weather_data d2
+                     WHERE d2.datetime >= NOW() - make_interval(hours => %s)
+                     GROUP BY DATE(d2.datetime)
+                 ) sub) as total_rain,
                 COUNT(*) as data_points
             FROM weather_data
             WHERE datetime >= NOW() - make_interval(hours => %s)
-        """, (hours,))
+        """, (hours, hours))
         result = cursor.fetchone()
         
         if not result or result['data_points'] == 0:
@@ -300,7 +306,7 @@ async def get_daily_statistics(
                 AVG(pressure) as avg_pressure,
                 AVG(wind_speed * 1.60934) as avg_wind_speed,
                 MAX(wind_gust * 1.60934) as max_wind_gust,
-                SUM(rain) as total_rain,
+                MAX(rain) as total_rain,
                 COUNT(*) as data_points
             FROM weather_data
             WHERE datetime >= NOW() - make_interval(days => %s)
@@ -387,7 +393,7 @@ async def get_hourly_aggregated_data(
                 AVG(wind_speed * 1.60934) as wind_speed,
                 MAX(wind_gust * 1.60934) as wind_gust,
                 AVG(wind_dir) as wind_dir,
-                AVG(rain) as rain,
+                MAX(rain) as rain,
                 AVG(rain_rate) as rain_rate,
                 MAX(received_at) as received_at
             FROM weather_data
@@ -429,7 +435,7 @@ async def get_daily_aggregated_data(
                     MAX(wind_gust * 1.60934)::float as wind_gust,
                     (array_agg(datetime ORDER BY wind_gust DESC NULLS LAST))[1] as max_wind_gust_time,
                     AVG(wind_dir)::float as wind_dir,
-                    SUM(rain)::float as total_rain
+                    MAX(rain)::float as total_rain
                 FROM weather_data
                 WHERE datetime >= NOW() - make_interval(days => %s)
                 GROUP BY date_trunc('day', datetime)
@@ -469,7 +475,7 @@ async def get_daily_with_minmax_data(
                 MAX(wind_gust * 1.60934)::float as wind_gust,
                 (array_agg(datetime ORDER BY wind_gust DESC NULLS LAST))[1] as max_wind_gust_time,
                 AVG(wind_dir)::float as wind_dir,
-                SUM(rain)::float as total_rain
+                MAX(rain)::float as total_rain
             FROM weather_data
             WHERE datetime >= NOW() - make_interval(days => %s)
             GROUP BY date_trunc('day', datetime)
@@ -490,7 +496,7 @@ async def get_daily_rain_data(
         cursor.execute("""
             SELECT
                 date_trunc('day', datetime) as date,
-                SUM(rain) as total_rain
+                MAX(rain) as total_rain
             FROM weather_data
             WHERE datetime >= NOW() - make_interval(days => %s)
             GROUP BY date_trunc('day', datetime)
@@ -512,20 +518,28 @@ async def get_weekly_rain_data(
         if days >= 365:
             cursor.execute("""
                 SELECT
-                    date_trunc('week', datetime) as week_start,
+                    date_trunc('week', day) as week_start,
-                    SUM(rain) as total_rain
+                    SUM(daily_rain) as total_rain
+                FROM (
+                    SELECT DATE(datetime) as day, MAX(rain) as daily_rain
                     FROM weather_data
-                GROUP BY date_trunc('week', datetime)
+                    GROUP BY DATE(datetime)
+                ) sub
+                GROUP BY date_trunc('week', day)
                 ORDER BY week_start ASC
             """)
         else:
             cursor.execute("""
                 SELECT
-                    date_trunc('week', datetime) as week_start,
+                    date_trunc('week', day) as week_start,
-                    SUM(rain) as total_rain
+                    SUM(daily_rain) as total_rain
+                FROM (
+                    SELECT DATE(datetime) as day, MAX(rain) as daily_rain
                     FROM weather_data
                     WHERE datetime >= NOW() - make_interval(days => %s)
-                GROUP BY date_trunc('week', datetime)
+                    GROUP BY DATE(datetime)
+                ) sub
+                GROUP BY date_trunc('week', day)
                 ORDER BY week_start ASC
             """, (days,))
         results = cursor.fetchall()
@@ -596,7 +610,7 @@ async def get_daily_aggregated_range(
                 MAX(wind_gust * 1.60934)::float as wind_gust,
                 (array_agg(datetime ORDER BY wind_gust DESC NULLS LAST))[1] as max_wind_gust_time,
                 AVG(wind_dir)::float as wind_dir,
-                SUM(rain)::float as total_rain
+                MAX(rain)::float as total_rain
             FROM weather_data
             WHERE datetime BETWEEN %s AND %s
             GROUP BY date_trunc('day', datetime)

collector/main.py

@@ -164,6 +164,9 @@ class WeatherDataInput(BaseModel):
     # Vorhersage
     forecast: Optional[int] = None
 
+    # Datenquelle
+    source: Optional[str] = None
+
     # ---- Validatoren -----------------------------------------------------
 
     @field_validator("tempOut", "temperature", "tempIn")
@@ -229,6 +232,13 @@ class WeatherDataInput(BaseModel):
             raise ValueError("rain value out of plausible range")
         return v
 
+    @field_validator("source")
+    @classmethod
+    def _source_valid(cls, v: Optional[str]) -> Optional[str]:
+        if v is not None and v not in ("loop", "archive"):
+            raise ValueError("source must be 'loop' or 'archive'")
+        return v
+
     # ---- Konvertierungen -------------------------------------------------
 
     def get_datetime_string(self) -> str:
@@ -330,6 +340,9 @@ def setup_database() -> None:
             cursor.execute(
                 "ALTER TABLE weather_data ADD COLUMN IF NOT EXISTS bar_trend INTEGER"
             )
+            cursor.execute(
+                "ALTER TABLE weather_data ADD COLUMN IF NOT EXISTS source VARCHAR"
+            )
             cursor.execute(
                 "CREATE INDEX IF NOT EXISTS idx_weather_datetime_desc "
                 "ON weather_data (datetime DESC)"
@@ -500,6 +513,7 @@ def _store_weather(data: WeatherDataInput) -> dict:
         data.rain,
         data.get_rain_rate(),
         data.forecast,
+        data.source,
     )
 
     with pool.connection() as conn:
@@ -509,8 +523,8 @@ def _store_weather(data: WeatherDataInput) -> dict:
                 INSERT INTO weather_data
                     (datetime, temperature, temp_in, humidity, humidity_in,
                      pressure, bar_trend, wind_speed, wind_gust, wind_dir,
-                     rain, rain_rate, forecast)
+                     rain, rain_rate, forecast, source)
-                VALUES (%s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s)
+                VALUES (%s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s)
                 ON CONFLICT (datetime) DO UPDATE SET
                     temperature = EXCLUDED.temperature,
                     temp_in     = EXCLUDED.temp_in,
@@ -523,7 +537,8 @@ def _store_weather(data: WeatherDataInput) -> dict:
                     wind_dir    = EXCLUDED.wind_dir,
                     rain        = EXCLUDED.rain,
                     rain_rate   = EXCLUDED.rain_rate,
-                    forecast    = EXCLUDED.forecast
+                    forecast    = EXCLUDED.forecast,
+                    source      = EXCLUDED.source
                 """,
                 values,
             )

deploy.sh

@@ -1,6 +1,6 @@
 #!/bin/bash
 
-# Deploy Script für laufschrift
+# Deploy Script für wetterstation
 # Baut das Docker Image und lädt es zu docker.citysensor.de hoch
 
 set -e

docker-compose.prod.yml

@@ -92,6 +92,23 @@ services:
       - "traefik.http.routers.wetterstation.tls.certresolver=letsencrypt"
       - "traefik.http.services.wetterstation.loadbalancer.server.port=80"
 
+  pgadmin:
+    image: dpage/pgadmin4:latest
+    container_name: wetterstation_pgadmin_prod
+    restart: unless-stopped
+    environment:
+      PGADMIN_DEFAULT_EMAIL: ${PGADMIN_EMAIL}
+      PGADMIN_DEFAULT_PASSWORD: ${PGADMIN_PASSWORD}
+      PGADMIN_CONFIG_SERVER_MODE: 'True'
+    volumes:
+      - pgadmin_data:/var/lib/pgadmin
+    depends_on:
+      - postgres
+    networks:
+      - internal
+    labels:
+      - "traefik.enable=false"
+
   monitor:
     image: docker.citysensor.de/wetterstation-monitor:latest
     container_name: wetterstation_monitor_prod
@@ -102,6 +119,8 @@ services:
 volumes:
   postgres_data:
     name: wetterstation_postgres_data_prod
+  pgadmin_data:
+    name: wetterstation_pgadmin_data_prod
 
 networks:
   internal:

docker-compose_postgres.yml

@@ -1,5 +1,3 @@
-version: '3.8'
-
 services:
   postgres:
     image: postgres:16-alpine

frontend/package.json

@@ -1,7 +1,7 @@
 {
   "name": "wetterstation-frontend",
   "private": true,
-  "version": "1.5.6",
+  "version": "1.6.1",
   "type": "module",
   "scripts": {
     "dev": "vite",

frontend/src/App.jsx

@@ -27,7 +27,7 @@ function buildUrls(timeRange) {
     const path = days >= 7 ? 'daily-aggregated-range' : 'hourly-aggregated-range'
     return {
       weatherUrl: `${API_BASE}/weather/${path}?start=${start}&end=${end}`,
-      rainUrl:      null,    // TODO: Regen-Aggregation fuer Range implementieren
+      rainUrl:    days < 7 ? `${API_BASE}/weather/daily-aggregated-range?start=${start}&end=${end}` : null,
       needsCurrent: true,
     }
   }

frontend/src/components/WeatherDashboard.jsx

@@ -171,14 +171,14 @@ const WeatherDashboard = ({ data, currentData = [], rainData = [], timeRange = '
   // Spezieller Suffix für Regen
   const rainSuffix = useMemo(() => {
     if (typeof timeRange === 'object' && timeRange.type === 'custom') {
-      const days = timeRange.days || 1
+      return ' (pro Tag)'
-      return days >= 7 ? ' (pro Tag)' : ''
     }
     switch (timeRange) {
       case '7d':
       case '30d':
-      case '365d':
         return ' (pro Tag)'
+      case '365d':
+        return ' (pro Woche)'
       default:
         return ''
     }
@@ -291,30 +291,93 @@ const WeatherDashboard = ({ data, currentData = [], rainData = [], timeRange = '
       }
     } else {
       // Vordefinierte Bereiche
+      const pad = n => String(n).padStart(2, '0')
+      const fmtDate = d => `${pad(d.getDate())}.${pad(d.getMonth() + 1)}`
+      const fmtTime = d => `${pad(d.getHours())}:${pad(d.getMinutes())}`
+
       switch (timeRange) {
         case '24h':
-          xAxisConfig.tickInterval = 4 * 3600 * 1000 // 4 Stunden
+          xAxisConfig.tickPositioner = function() {
-          xAxisConfig.labels = { format: '{value:%H:%M}', align: 'center' }
+            const positions = []
+            const d = new Date(this.min)
+            d.setMinutes(0, 0, 0)
+            const h = d.getHours()
+            const nextH = Math.ceil(h / 4) * 4
+            if (nextH >= 24) { d.setDate(d.getDate() + 1); d.setHours(0, 0, 0, 0) }
+            else d.setHours(nextH, 0, 0, 0)
+            while (d.getTime() <= this.max) {
+              positions.push(d.getTime())
+              d.setHours(d.getHours() + 4, 0, 0, 0)
+            }
+            return positions
+          }
+          xAxisConfig.labels = {
+            rotation: 0, align: 'center', useHTML: true,
+            formatter: function() {
+              const d = new Date(this.value)
+              return d.getHours() === 0 && d.getMinutes() === 0
+                ? `<span style="color:#3b82f6;font-weight:bold">${fmtDate(d)}</span>`
+                : fmtTime(d)
+            }
+          }
           xAxisMin = now - 24 * 3600 * 1000
           xAxisMax = now
           tooltipDateFormat = '%d.%m.%Y %H:%M'
           break
         case '7d':
-          xAxisConfig.labels = { format: '{value:%d.%m}', align: 'center' }
+          xAxisConfig.tickPositioner = function() {
+            const positions = []
+            const d = new Date(this.min)
+            d.setHours(0, 0, 0, 0)
+            while (d.getTime() <= this.max) {
+              positions.push(d.getTime())
+              d.setDate(d.getDate() + 1)
+            }
+            return positions
+          }
+          xAxisConfig.labels = {
+            rotation: 0, align: 'center',
+            formatter: function() { return fmtDate(new Date(this.value)) }
+          }
           xAxisMin = now - 7 * 24 * 3600 * 1000
           xAxisMax = now
           tooltipDateFormat = '%d.%m.%Y'
           break
         case '30d':
-          xAxisConfig.labels = { format: '{value:%d.%m}', align: 'center' }
+          xAxisConfig.tickPositioner = function() {
+            const positions = []
+            const d = new Date(this.min)
+            d.setHours(0, 0, 0, 0)
+            while (d.getTime() <= this.max) {
+              positions.push(d.getTime())
+              d.setDate(d.getDate() + 5)
+            }
+            return positions
+          }
+          xAxisConfig.labels = {
+            rotation: 0, align: 'center',
+            formatter: function() { return fmtDate(new Date(this.value)) }
+          }
           xAxisMin = now - 30 * 24 * 3600 * 1000
           xAxisMax = now
           tooltipDateFormat = '%d.%m.%Y'
           break
         case '365d':
-          xAxisConfig.labels = { format: '{value:%b %Y}', align: 'center' }
+          xAxisConfig.tickPositioner = function() {
-          tooltipDateFormat = '%b %Y'
+            const positions = []
-          // Bei 365d: Min/Max aus vorhandenen Daten berechnen
+            const d = new Date(this.min)
+            d.setDate(1); d.setHours(0, 0, 0, 0)
+            while (d.getTime() <= this.max) {
+              positions.push(d.getTime())
+              d.setMonth(d.getMonth() + 1)
+            }
+            return positions
+          }
+          xAxisConfig.labels = {
+            rotation: 0, align: 'center',
+            formatter: function() { return pad(new Date(this.value).getMonth() + 1) }
+          }
+          tooltipDateFormat = '%d.%m.%Y'
           if (sortedData.length > 0) {
             xAxisMin = new Date(sortedData[0].datetime).getTime()
             xAxisMax = new Date(sortedData[sortedData.length - 1].datetime).getTime()
@@ -324,8 +387,27 @@ const WeatherDashboard = ({ data, currentData = [], rainData = [], timeRange = '
           }
           break
         default:
-          xAxisConfig.tickInterval = 4 * 3600 * 1000
+          xAxisConfig.tickPositioner = function() {
-          xAxisConfig.labels = { format: '{value:%H:%M}', align: 'center' }
+            const positions = []
+            const d = new Date(this.min)
+            d.setMinutes(0, 0, 0)
+            const h = d.getHours()
+            const nextH = Math.ceil(h / 4) * 4
+            if (nextH >= 24) { d.setDate(d.getDate() + 1); d.setHours(0, 0, 0, 0) }
+            else d.setHours(nextH, 0, 0, 0)
+            while (d.getTime() <= this.max) {
+              positions.push(d.getTime())
+              d.setHours(d.getHours() + 4, 0, 0, 0)
+            }
+            return positions
+          }
+          xAxisConfig.labels = {
+            rotation: 0, align: 'center',
+            formatter: function() {
+              const d = new Date(this.value)
+              return d.getHours() === 0 && d.getMinutes() === 0 ? fmtDate(d) : fmtTime(d)
+            }
+          }
           xAxisMin = now - 24 * 3600 * 1000
           xAxisMax = now
           tooltipDateFormat = '%d.%m.%Y %H:%M'
@@ -639,11 +721,13 @@ const WeatherDashboard = ({ data, currentData = [], rainData = [], timeRange = '
         }
       }]
     } else if (typeof timeRange === 'object' && timeRange.type === 'custom') {
-      // Custom range: tägliche Summen aus sortedData (total_rain ist im daily-aggregated-range enthalten)
+      // Custom range: tägliche Summen — bei kurzen Ranges (<7d) aus rainData (extra Fetch),
+      // bei langen Ranges aus sortedData (daily-aggregated-range enthält total_rain)
       yAxisTitle = 'Regen (mm pro Tag)'
+      const rainSource = rainData.length > 0 ? rainData : sortedData
       series = [{
         name: 'Regen',
-        data: sortedData
+        data: rainSource
           .filter(item => item.total_rain != null && item.total_rain > 0)
           .map(item => [new Date(item.datetime).getTime(), item.total_rain]),
         color: 'rgb(54, 162, 235)',

migrate_sqlite_to_postgres.py

@@ -19,7 +19,7 @@ load_dotenv(dotenv_path=env_path)
 # Konfiguration
 SQLITE_DB = "data/wview-archive.sdb"
 START_DATE = datetime(2025, 1, 1, 0, 0, 0, tzinfo=timezone.utc)
-END_DATE = datetime(2026, 2, 8, 0, 0, 0, tzinfo=timezone.utc)
+END_DATE = datetime(2026, 3, 23, 0, 0, 0, tzinfo=timezone.utc)
 
 # PostgreSQL-Konfiguration
 DB_HOST = os.getenv('DB_HOST', 'localhost')
@@ -96,6 +96,41 @@ def main():
         sqlite_conn.close()
         sys.exit(1)
     
+    # Tabelle anlegen falls nicht vorhanden
+    try:
+        pg_cursor.execute("""
+            CREATE TABLE IF NOT EXISTS weather_data (
+                id SERIAL PRIMARY KEY,
+                datetime TIMESTAMPTZ NOT NULL,
+                temperature FLOAT,
+                humidity INTEGER,
+                pressure FLOAT,
+                wind_speed FLOAT,
+                wind_gust FLOAT,
+                wind_dir FLOAT,
+                rain FLOAT,
+                rain_rate FLOAT,
+                temp_in FLOAT,
+                humidity_in INTEGER,
+                forecast INTEGER,
+                bar_trend INTEGER,
+                source VARCHAR,
+                received_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
+                UNIQUE(datetime)
+            )
+        """)
+        pg_cursor.execute(
+            "CREATE INDEX IF NOT EXISTS idx_weather_datetime_desc "
+            "ON weather_data (datetime DESC)"
+        )
+        pg_conn.commit()
+        print("✓ Tabelle weather_data bereit")
+    except Exception as e:
+        print(f"✗ Fehler beim Anlegen der Tabelle: {e}")
+        sqlite_conn.close()
+        pg_conn.close()
+        sys.exit(1)
+
     # Tabelle leeren falls gewünscht
     if TRUNCATE_TABLE:
         print("\nLeere PostgreSQL-Tabelle weather_data...")
@@ -165,11 +200,11 @@ def main():
             pg_cursor.execute("""
                 INSERT INTO weather_data
                 (datetime, temperature, humidity, pressure,
-                 wind_speed, wind_gust, wind_dir, rain, rain_rate)
+                 wind_speed, wind_gust, wind_dir, rain, rain_rate, source)
-                VALUES (%s, %s, %s, %s, %s, %s, %s, %s, %s)
+                VALUES (%s, %s, %s, %s, %s, %s, %s, %s, %s, %s)
                 ON CONFLICT (datetime) DO NOTHING
             """, (dt, temp_c, humidity, pressure_hpa,
-                  wind_speed_kmh, wind_gust_kmh, windDir, rain_mm, rain_rate_mm))
+                  wind_speed_kmh, wind_gust_kmh, windDir, rain_mm, rain_rate_mm, 'wview'))
             
             if pg_cursor.rowcount > 0:
                 inserted += 1