V 1.4.0 Komplette Absicherung mit Hilfe von Claude

Anzeige der letzten 24h richtig (App.jsx)
Y-Bereichsberechnung für alle 3 (THP) dynamisch,
Windbön mit angezeigt

api/main.py

@@ -1,4 +1,5 @@
-from fastapi import FastAPI, HTTPException, Query
+from contextlib import asynccontextmanager
+from fastapi import FastAPI, HTTPException, Query, Depends
 from fastapi.middleware.cors import CORSMiddleware
 from pydantic import BaseModel, Field, ConfigDict
 from typing import List, Optional
@@ -8,6 +9,7 @@ from pathlib import Path
 from dotenv import load_dotenv
 import psycopg
 from psycopg.rows import dict_row
+from psycopg_pool import ConnectionPool
 import logging
 
 # Logging konfigurieren
@@ -28,21 +30,75 @@ DB_NAME = os.getenv('DB_NAME', 'wetterstation')
 DB_USER = os.getenv('DB_USER')
 DB_PASSWORD = os.getenv('DB_PASSWORD')
 
+# --------------------------------------------------------------------------- #
+# Connection Pool + Lifespan
+# --------------------------------------------------------------------------- #
+
+DB_POOL_MIN = int(os.getenv("DB_POOL_MIN", 2))
+DB_POOL_MAX = int(os.getenv("DB_POOL_MAX", 10))
+
+pool: Optional["ConnectionPool"] = None
+
+
+def _build_conninfo() -> str:
+    return (
+        f"host={DB_HOST} port={DB_PORT} dbname={DB_NAME} "
+        f"user={DB_USER} password={DB_PASSWORD}"
+    )
+
+
+@asynccontextmanager
+async def lifespan(app: FastAPI):
+    global pool
+    if not DB_USER or not DB_PASSWORD:
+        raise RuntimeError("DB_USER/DB_PASSWORD nicht gesetzt")
+
+    pool = ConnectionPool(
+        conninfo=_build_conninfo(),
+        min_size=DB_POOL_MIN,
+        max_size=DB_POOL_MAX,
+        timeout=10,
+        kwargs={"row_factory": dict_row, "autocommit": True},
+    )
+    pool.wait()
+    logger.info("DB-Pool initialisiert (min=%d, max=%d)", DB_POOL_MIN, DB_POOL_MAX)
+    try:
+        yield
+    finally:
+        if pool is not None:
+            pool.close()
+            logger.info("DB-Pool geschlossen")
+
+
 # FastAPI App erstellen
 app = FastAPI(
     title="Wetterstation API",
     description="API zum Auslesen von Wetterdaten",
-    version="1.0.0"
+    version="1.1.0",
+    lifespan=lifespan,
 )
 
-# CORS Middleware
+# CORS Middleware — auf bekannte Frontend-Domains beschraenkt.
+# Zusaetzliche Origins koennen via ENV CORS_EXTRA_ORIGINS (Komma-separiert) gesetzt werden.
+_default_origins = [
+    "https://stwwetter.fuerst-stuttgart.de",
+    "https://sternwarte-welzheim.de",
+    "http://localhost:3000",
+    "http://localhost:5173",
+]
+_extra = os.getenv("CORS_EXTRA_ORIGINS", "")
+_extra_list = [o.strip() for o in _extra.split(",") if o.strip()]
+ALLOWED_ORIGINS = _default_origins + _extra_list
+
 app.add_middleware(
     CORSMiddleware,
-    allow_origins=["*"],
-    allow_credentials=True,
-    allow_methods=["*"],
-    allow_headers=["*"],
+    allow_origins=ALLOWED_ORIGINS,
+    allow_credentials=False,           # API liest nur, keine Cookies/Auth noetig
+    allow_methods=["GET", "OPTIONS"],  # API ist read-only
+    allow_headers=["Content-Type"],
+    max_age=600,
 )
+logger.info("CORS aktiv fuer: %s", ALLOWED_ORIGINS)
 
 
 # Pydantic Models
@@ -59,6 +115,7 @@ class WeatherData(BaseModel):
     wind_dir: Optional[float] = None
     rain: Optional[float] = None
     rain_rate: Optional[float] = None
+    bar_trend: Optional[int] = None
     received_at: datetime
 
 
@@ -80,22 +137,17 @@ class HealthResponse(BaseModel):
     timestamp: datetime
 
 
-# Datenbankverbindung
-def get_db_connection():
-    """Erstellt eine Datenbankverbindung"""
+# Datenbankverbindung — aus dem Pool, als FastAPI-Dependency.
+def get_db_conn():
+    """Yieldet eine Connection aus dem Pool und gibt sie automatisch zurueck."""
+    if pool is None:
+        raise HTTPException(status_code=503, detail="DB-Pool nicht initialisiert")
     try:
-        conn = psycopg.connect(
-            host=DB_HOST,
-            port=DB_PORT,
-            dbname=DB_NAME,
-            user=DB_USER,
-            password=DB_PASSWORD,
-            row_factory=dict_row
-        )
-        return conn
-    except Exception as e:
-        logger.error(f"Datenbankverbindungsfehler: {e}")
-        raise HTTPException(status_code=500, detail="Datenbankverbindung fehlgeschlagen")
+        with pool.connection() as conn:
+            yield conn
+    except psycopg.Error:
+        logger.exception("DB-Fehler beim Pool-Zugriff")
+        raise HTTPException(status_code=503, detail="Datenbank nicht erreichbar")
 
 
 # API Endpoints
@@ -104,7 +156,7 @@ async def root():
     """Root Endpoint"""
     return {
         "message": "Wetterstation API",
-        "version": "1.0.0",
+        "version": "1.1.0",
         "docs": "/docs"
     }
 
@@ -112,14 +164,15 @@ async def root():
 @app.get("/health", response_model=HealthResponse, tags=["General"])
 async def health_check():
     """Health Check Endpoint"""
+    db_status = "disconnected"
     try:
-        conn = get_db_connection()
-        with conn.cursor() as cursor:
-            cursor.execute("SELECT 1")
-        conn.close()
-        db_status = "connected"
+        if pool is not None:
+            with pool.connection() as conn:
+                with conn.cursor() as cursor:
+                    cursor.execute("SELECT 1")
+            db_status = "connected"
     except Exception:
-        db_status = "disconnected"
+        logger.exception("Health-Check DB-Test fehlgeschlagen")
     
     return {
         "status": "ok" if db_status == "connected" else "error",
@@ -129,389 +182,408 @@ async def health_check():
 
 
 @app.get("/weather/latest", response_model=WeatherData, tags=["Weather Data"])
-async def get_latest_weather():
+async def get_latest_weather(conn = Depends(get_db_conn)):
     """Gibt die neuesten Wetterdaten zurück"""
-    conn = get_db_connection()
-    try:
-        with conn.cursor() as cursor:
-            cursor.execute("""
-                SELECT id, datetime, temperature, humidity, pressure,
-                       wind_speed * 1.60934 as wind_speed,
-                       wind_gust * 1.60934 as wind_gust,
-                       wind_dir, rain, rain_rate, received_at
-                FROM weather_data 
-                ORDER BY datetime DESC 
-                LIMIT 1
-            """)
-            result = cursor.fetchone()
-            
-            if not result:
-                raise HTTPException(status_code=404, detail="Keine Daten verfügbar")
-            
-            return dict(result)
-    finally:
-        conn.close()
+    with conn.cursor() as cursor:
+        cursor.execute("""
+            SELECT id, datetime, temperature, humidity, pressure,
+                   wind_speed * 1.60934 as wind_speed,
+                   wind_gust * 1.60934 as wind_gust,
+                   wind_dir, rain, rain_rate, bar_trend, received_at
+            FROM weather_data 
+            ORDER BY datetime DESC 
+            LIMIT 1
+        """)
+        result = cursor.fetchone()
+        
+        if not result:
+            raise HTTPException(status_code=404, detail="Keine Daten verfügbar")
+        
+        return dict(result)
 
 
 @app.get("/weather/current", response_model=WeatherData, tags=["Weather Data"])
-async def get_current_weather():
+async def get_current_weather(conn = Depends(get_db_conn)):
     """Alias für /weather/latest - gibt aktuelle Wetterdaten zurück"""
-    return await get_latest_weather()
+    return await get_latest_weather(conn=conn)
 
 
 @app.get("/weather/history", response_model=List[WeatherData], tags=["Weather Data"])
 async def get_weather_history(
     hours: int = Query(24, ge=1, le=168, description="Anzahl Stunden zurück (max 168 = 7 Tage)"),
-    limit: int = Query(1000, ge=1, le=10000, description="Maximale Anzahl Datensätze")
+    limit: int = Query(1000, ge=1, le=10000, description="Maximale Anzahl Datensätze"),
+    conn = Depends(get_db_conn),
 ):
     """Gibt historische Wetterdaten der letzten X Stunden zurück"""
-    conn = get_db_connection()
-    try:
-        with conn.cursor() as cursor:
-            cursor.execute("""
-                SELECT id, datetime, temperature, humidity, pressure,
-                       wind_speed * 1.60934 as wind_speed,
-                       wind_gust * 1.60934 as wind_gust,
-                       wind_dir, rain, rain_rate, received_at
-                FROM weather_data 
-                WHERE datetime >= NOW() - make_interval(hours => %s)
-                ORDER BY datetime DESC
-                LIMIT %s
-            """, (hours, limit))
-            results = cursor.fetchall()
-            
-            return [dict(row) for row in results]
-    finally:
-        conn.close()
+    with conn.cursor() as cursor:
+        cursor.execute("""
+            SELECT id, datetime, temperature, humidity, pressure,
+                   wind_speed * 1.60934 as wind_speed,
+                   wind_gust * 1.60934 as wind_gust,
+                   wind_dir, rain, rain_rate, bar_trend, received_at
+            FROM weather_data 
+            WHERE datetime >= NOW() - make_interval(hours => %s)
+            ORDER BY datetime DESC
+            LIMIT %s
+        """, (hours, limit))
+        results = cursor.fetchall()
+        
+        return [dict(row) for row in results]
 
 
 @app.get("/weather/range", response_model=List[WeatherData], tags=["Weather Data"])
 async def get_weather_by_date_range(
     start: datetime = Query(..., description="Startdatum (ISO 8601)"),
     end: datetime = Query(..., description="Enddatum (ISO 8601)"),
-    limit: int = Query(10000, ge=1, le=50000, description="Maximale Anzahl Datensätze")
+    limit: int = Query(10000, ge=1, le=50000, description="Maximale Anzahl Datensätze"),
+    conn = Depends(get_db_conn),
 ):
     """Gibt Wetterdaten für einen bestimmten Zeitraum zurück"""
     if start >= end:
         raise HTTPException(status_code=400, detail="Startdatum muss vor Enddatum liegen")
     
-    conn = get_db_connection()
-    try:
-        with conn.cursor() as cursor:
-            cursor.execute("""
-                SELECT * FROM weather_data 
-                WHERE datetime BETWEEN %s AND %s
-                ORDER BY datetime ASC
-                LIMIT %s
-            """, (start, end, limit))
-            results = cursor.fetchall()
-            
-            return [dict(row) for row in results]
-    finally:
-        conn.close()
+    with conn.cursor() as cursor:
+        cursor.execute("""
+            SELECT * FROM weather_data 
+            WHERE datetime BETWEEN %s AND %s
+            ORDER BY datetime ASC
+            LIMIT %s
+        """, (start, end, limit))
+        results = cursor.fetchall()
+        
+        return [dict(row) for row in results]
 
 
 @app.get("/weather/stats", response_model=WeatherStats, tags=["Statistics"])
 async def get_weather_statistics(
-    hours: int = Query(24, ge=1, le=168, description="Zeitraum in Stunden für Statistiken")
+    hours: int = Query(24, ge=1, le=168, description="Zeitraum in Stunden für Statistiken"),
+    conn = Depends(get_db_conn),
 ):
     """Gibt aggregierte Statistiken für den angegebenen Zeitraum zurück"""
-    conn = get_db_connection()
-    try:
-        with conn.cursor() as cursor:
-            cursor.execute("""
-                SELECT 
-                    AVG(temperature) as avg_temperature,
-                    MIN(temperature) as min_temperature,
-                    MAX(temperature) as max_temperature,
-                    AVG(humidity) as avg_humidity,
-                    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,
-                    COUNT(*) as data_points
-                FROM weather_data
-                WHERE datetime >= NOW() - make_interval(hours => %s)
-            """, (hours,))
-            result = cursor.fetchone()
-            
-            if not result or result['data_points'] == 0:
-                raise HTTPException(status_code=404, detail="Keine Daten für den Zeitraum verfügbar")
-            
-            return dict(result)
-    finally:
-        conn.close()
+    with conn.cursor() as cursor:
+        cursor.execute("""
+            SELECT 
+                AVG(temperature) as avg_temperature,
+                MIN(temperature) as min_temperature,
+                MAX(temperature) as max_temperature,
+                AVG(humidity) as avg_humidity,
+                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,
+                COUNT(*) as data_points
+            FROM weather_data
+            WHERE datetime >= NOW() - make_interval(hours => %s)
+        """, (hours,))
+        result = cursor.fetchone()
+        
+        if not result or result['data_points'] == 0:
+            raise HTTPException(status_code=404, detail="Keine Daten für den Zeitraum verfügbar")
+        
+        return dict(result)
 
 
 @app.get("/weather/daily", response_model=List[WeatherStats], tags=["Statistics"])
 async def get_daily_statistics(
-    days: int = Query(7, ge=1, le=90, description="Anzahl Tage zurück (max 90)")
+    days: int = Query(7, ge=1, le=90, description="Anzahl Tage zurück (max 90)"),
+    conn = Depends(get_db_conn),
 ):
     """Gibt tägliche Statistiken für die letzten X Tage zurück"""
-    conn = get_db_connection()
-    try:
-        with conn.cursor() as cursor:
-            cursor.execute("""
-                SELECT 
-                    DATE(datetime) as date,
-                    AVG(temperature) as avg_temperature,
-                    MIN(temperature) as min_temperature,
-                    MAX(temperature) as max_temperature,
-                    AVG(humidity) as avg_humidity,
-                    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,
-                    COUNT(*) as data_points
-                FROM weather_data
-                WHERE datetime >= NOW() - make_interval(days => %s)
-                GROUP BY DATE(datetime)
-                ORDER BY date DESC
-            """, (days,))
-            results = cursor.fetchall()
-            
-            return [dict(row) for row in results]
-    finally:
-        conn.close()
+    with conn.cursor() as cursor:
+        cursor.execute("""
+            SELECT 
+                DATE(datetime) as date,
+                AVG(temperature) as avg_temperature,
+                MIN(temperature) as min_temperature,
+                MAX(temperature) as max_temperature,
+                AVG(humidity) as avg_humidity,
+                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,
+                COUNT(*) as data_points
+            FROM weather_data
+            WHERE datetime >= NOW() - make_interval(days => %s)
+            GROUP BY DATE(datetime)
+            ORDER BY date DESC
+        """, (days,))
+        results = cursor.fetchall()
+        
+        return [dict(row) for row in results]
 
 
 @app.get("/weather/temperature", response_model=List[dict], tags=["Weather Data"])
 async def get_temperature_data(
-    hours: int = Query(24, ge=1, le=168, description="Anzahl Stunden zurück")
+    hours: int = Query(24, ge=1, le=168, description="Anzahl Stunden zurück"),
+    conn = Depends(get_db_conn),
 ):
     """Gibt nur Temperatur-Zeitreihen zurück (optimiert für Diagramme)"""
-    conn = get_db_connection()
-    try:
-        with conn.cursor() as cursor:
-            cursor.execute("""
-                SELECT datetime, temperature 
-                FROM weather_data 
-                WHERE datetime >= NOW() - make_interval(hours => %s)
-                  AND temperature IS NOT NULL
-                ORDER BY datetime ASC
-            """, (hours,))
-            results = cursor.fetchall()
-            
-            return [dict(row) for row in results]
-    finally:
-        conn.close()
+    with conn.cursor() as cursor:
+        cursor.execute("""
+            SELECT datetime, temperature 
+            FROM weather_data 
+            WHERE datetime >= NOW() - make_interval(hours => %s)
+              AND temperature IS NOT NULL
+            ORDER BY datetime ASC
+        """, (hours,))
+        results = cursor.fetchall()
+        
+        return [dict(row) for row in results]
 
 
 @app.get("/weather/wind", response_model=List[dict], tags=["Weather Data"])
 async def get_wind_data(
-    hours: int = Query(24, ge=1, le=168, description="Anzahl Stunden zurück")
+    hours: int = Query(24, ge=1, le=168, description="Anzahl Stunden zurück"),
+    conn = Depends(get_db_conn),
 ):
     """Gibt nur Wind-Daten zurück (Geschwindigkeit, Richtung, Böen)"""
-    conn = get_db_connection()
-    try:
-        with conn.cursor() as cursor:
-            cursor.execute("""
-                SELECT datetime, 
-                       wind_speed * 1.60934 as wind_speed,
-                       wind_gust * 1.60934 as wind_gust,
-                       wind_dir 
-                FROM weather_data 
-                WHERE datetime >= NOW() - make_interval(hours => %s)
-                ORDER BY datetime ASC
-            """, (hours,))
-            results = cursor.fetchall()
-            
-            return [dict(row) for row in results]
-    finally:
-        conn.close()
+    with conn.cursor() as cursor:
+        cursor.execute("""
+            SELECT datetime, 
+                   wind_speed * 1.60934 as wind_speed,
+                   wind_gust * 1.60934 as wind_gust,
+                   wind_dir 
+            FROM weather_data 
+            WHERE datetime >= NOW() - make_interval(hours => %s)
+            ORDER BY datetime ASC
+        """, (hours,))
+        results = cursor.fetchall()
+        
+        return [dict(row) for row in results]
 
 
 @app.get("/weather/rain", response_model=List[dict], tags=["Weather Data"])
 async def get_rain_data(
-    hours: int = Query(24, ge=1, le=168, description="Anzahl Stunden zurück")
+    hours: int = Query(24, ge=1, le=168, description="Anzahl Stunden zurück"),
+    conn = Depends(get_db_conn),
 ):
     """Gibt nur Regen-Daten zurück"""
-    conn = get_db_connection()
-    try:
-        with conn.cursor() as cursor:
-            cursor.execute("""
-                SELECT datetime, rain, rain_rate 
-                FROM weather_data 
-                WHERE datetime >= NOW() - make_interval(hours => %s)
-                ORDER BY datetime ASC
-            """, (hours,))
-            results = cursor.fetchall()
-            
-            return [dict(row) for row in results]
-    finally:
-        conn.close()
+    with conn.cursor() as cursor:
+        cursor.execute("""
+            SELECT datetime, rain, rain_rate 
+            FROM weather_data 
+            WHERE datetime >= NOW() - make_interval(hours => %s)
+            ORDER BY datetime ASC
+        """, (hours,))
+        results = cursor.fetchall()
+        
+        return [dict(row) for row in results]
 
 
 @app.get("/weather/hourly-aggregated", response_model=List[WeatherData], tags=["Aggregated Data"])
 async def get_hourly_aggregated_data(
-    days: int = Query(7, ge=1, le=60, description="Anzahl Tage zurück (max 60)")
+    days: int = Query(7, ge=1, le=60, description="Anzahl Tage zurück (max 60)"),
+    conn = Depends(get_db_conn),
 ):
     """Gibt stündlich aggregierte Wetterdaten zurück (Stundenmittel)"""
-    conn = get_db_connection()
-    try:
-        with conn.cursor() as cursor:
-            cursor.execute("""
-                SELECT 
-                    0 as id,
-                    date_trunc('hour', datetime) as datetime,
-                    AVG(temperature) as temperature,
-                    ROUND(AVG(humidity)) as humidity,
-                    AVG(pressure) as pressure,
-                    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,
-                    AVG(rain_rate) as rain_rate,
-                    MAX(received_at) as received_at
-                FROM weather_data
-                WHERE datetime >= NOW() - make_interval(days => %s)
-                GROUP BY date_trunc('hour', datetime)
-                ORDER BY datetime ASC
-            """, (days,))
-            results = cursor.fetchall()
-            
-            return [dict(row) for row in results]
-    finally:
-        conn.close()
+    with conn.cursor() as cursor:
+        cursor.execute("""
+            SELECT 
+                0 as id,
+                date_trunc('hour', datetime) as datetime,
+                AVG(temperature) as temperature,
+                ROUND(AVG(humidity)) as humidity,
+                AVG(pressure) as pressure,
+                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,
+                AVG(rain_rate) as rain_rate,
+                MAX(received_at) as received_at
+            FROM weather_data
+            WHERE datetime >= NOW() - make_interval(days => %s)
+            GROUP BY date_trunc('hour', datetime)
+            ORDER BY datetime ASC
+        """, (days,))
+        results = cursor.fetchall()
+        
+        return [dict(row) for row in results]
 
 
 @app.get("/weather/daily-aggregated", response_model=List[dict], tags=["Aggregated Data"])
 async def get_daily_aggregated_data(
-    days: int = Query(365, ge=1, le=730, description="Anzahl Tage zurück (max 730)")
+    days: int = Query(365, ge=1, le=730, description="Anzahl Tage zurück (max 730)"),
+    conn = Depends(get_db_conn),
 ):
     """Gibt täglich aggregierte Wetterdaten zurück (Tagesmittel mit Min/Max-Temperaturen)"""
-    conn = get_db_connection()
-    try:
-        with conn.cursor() as cursor:
-            # Bei 365 Tagen: alle verfügbaren Daten zurückgeben
-            if days >= 365:
-                cursor.execute("""
-                    SELECT 
-                        date_trunc('day', datetime) as datetime,
-                        AVG(temperature)::float as temperature,
-                        MIN(temperature)::float as min_temperature,
-                        MAX(temperature)::float as max_temperature,
-                        ROUND(AVG(humidity))::int as humidity,
-                        AVG(pressure)::float as pressure,
-                        AVG(wind_speed * 1.60934)::float as wind_speed,
-                        MAX(wind_gust * 1.60934)::float as wind_gust,
-                        AVG(wind_dir)::float as wind_dir
-                    FROM weather_data
-                    GROUP BY date_trunc('day', datetime)
-                    ORDER BY datetime ASC
-                """)
-            else:
-                cursor.execute("""
-                    SELECT 
-                        date_trunc('day', datetime) as datetime,
-                        AVG(temperature)::float as temperature,
-                        MIN(temperature)::float as min_temperature,
-                        MAX(temperature)::float as max_temperature,
-                        ROUND(AVG(humidity))::int as humidity,
-                        AVG(pressure)::float as pressure,
-                        AVG(wind_speed * 1.60934)::float as wind_speed,
-                        MAX(wind_gust * 1.60934)::float as wind_gust,
-                        AVG(wind_dir)::float as wind_dir
-                    FROM weather_data
-                    WHERE datetime >= NOW() - make_interval(days => %s)
-                    GROUP BY date_trunc('day', datetime)
-                    ORDER BY datetime ASC
-                """, (days,))
-            results = cursor.fetchall()
-            
-            return [dict(row) for row in results]
-    finally:
-        conn.close()
-
-
-@app.get("/weather/daily-with-minmax", response_model=List[dict], tags=["Aggregated Data"])
-async def get_daily_with_minmax_data(
-    days: int = Query(30, ge=1, le=90, description="Anzahl Tage zurück (max 90)")
-):
-    """Gibt täglich aggregierte Wetterdaten mit Min/Max-Temperaturen zurück"""
-    conn = get_db_connection()
-    try:
-        with conn.cursor() as cursor:
-            cursor.execute("""
+    with conn.cursor() as cursor:
+        cursor.execute("""
                 SELECT 
                     date_trunc('day', datetime) as datetime,
                     AVG(temperature)::float as temperature,
                     MIN(temperature)::float as min_temperature,
                     MAX(temperature)::float as max_temperature,
                     ROUND(AVG(humidity))::int as humidity,
+                    MIN(humidity)::int as min_humidity,
+                    MAX(humidity)::int as max_humidity,
                     AVG(pressure)::float as pressure,
+                    MIN(pressure)::float as min_pressure,
+                    MAX(pressure)::float as max_pressure,
                     AVG(wind_speed * 1.60934)::float as wind_speed,
                     MAX(wind_gust * 1.60934)::float as wind_gust,
-                    AVG(wind_dir)::float as wind_dir
+                    AVG(wind_dir)::float as wind_dir,
+                    SUM(rain)::float as total_rain
                 FROM weather_data
                 WHERE datetime >= NOW() - make_interval(days => %s)
                 GROUP BY date_trunc('day', datetime)
                 ORDER BY datetime ASC
             """, (days,))
-            results = cursor.fetchall()
-            
-            return [dict(row) for row in results]
-    finally:
-        conn.close()
+        results = cursor.fetchall()
+        
+        return [dict(row) for row in results]
+
+
+@app.get("/weather/daily-with-minmax", response_model=List[dict], tags=["Aggregated Data"])
+async def get_daily_with_minmax_data(
+    days: int = Query(30, ge=1, le=90, description="Anzahl Tage zurück (max 90)"),
+    conn = Depends(get_db_conn),
+):
+    """Gibt täglich aggregierte Wetterdaten mit Min/Max-Temperaturen zurück"""
+    with conn.cursor() as cursor:
+        cursor.execute("""
+            SELECT 
+                date_trunc('day', datetime) as datetime,
+                AVG(temperature)::float as temperature,
+                MIN(temperature)::float as min_temperature,
+                MAX(temperature)::float as max_temperature,
+                ROUND(AVG(humidity))::int as humidity,
+                MIN(humidity)::int as min_humidity,
+                MAX(humidity)::int as max_humidity,
+                AVG(pressure)::float as pressure,
+                MIN(pressure)::float as min_pressure,
+                MAX(pressure)::float as max_pressure,
+                AVG(wind_speed * 1.60934)::float as wind_speed,
+                MAX(wind_gust * 1.60934)::float as wind_gust,
+                AVG(wind_dir)::float as wind_dir,
+                SUM(rain)::float as total_rain
+            FROM weather_data
+            WHERE datetime >= NOW() - make_interval(days => %s)
+            GROUP BY date_trunc('day', datetime)
+            ORDER BY datetime ASC
+        """, (days,))
+        results = cursor.fetchall()
+        
+        return [dict(row) for row in results]
 
 
 @app.get("/weather/rain-daily", response_model=List[dict], tags=["Aggregated Data"])
 async def get_daily_rain_data(
-    days: int = Query(30, ge=1, le=365, description="Anzahl Tage zurück")
+    days: int = Query(30, ge=1, le=365, description="Anzahl Tage zurück"),
+    conn = Depends(get_db_conn),
 ):
     """Gibt tägliche Regensummen zurück"""
-    conn = get_db_connection()
-    try:
-        with conn.cursor() as cursor:
-            cursor.execute("""
-                SELECT 
-                    date_trunc('day', datetime) as date,
-                    SUM(rain) as total_rain
-                FROM weather_data
-                WHERE datetime >= NOW() - make_interval(days => %s)
-                GROUP BY date_trunc('day', datetime)
-                ORDER BY date ASC
-            """, (days,))
-            results = cursor.fetchall()
-            
-            return [dict(row) for row in results]
-    finally:
-        conn.close()
+    with conn.cursor() as cursor:
+        cursor.execute("""
+            SELECT 
+                date_trunc('day', datetime) as date,
+                SUM(rain) as total_rain
+            FROM weather_data
+            WHERE datetime >= NOW() - make_interval(days => %s)
+            GROUP BY date_trunc('day', datetime)
+            ORDER BY date ASC
+        """, (days,))
+        results = cursor.fetchall()
+        
+        return [dict(row) for row in results]
 
 
 @app.get("/weather/rain-weekly", response_model=List[dict], tags=["Aggregated Data"])
 async def get_weekly_rain_data(
-    days: int = Query(365, ge=1, le=730, description="Anzahl Tage zurück")
+    days: int = Query(365, ge=1, le=730, description="Anzahl Tage zurück"),
+    conn = Depends(get_db_conn),
 ):
     """Gibt wöchentliche Regensummen zurück (Woche = Mo-So)"""
-    conn = get_db_connection()
-    try:
-        with conn.cursor() as cursor:
-            # Bei 365 Tagen: alle verfügbaren Daten zurückgeben
-            if days >= 365:
-                cursor.execute("""
-                    SELECT 
-                        date_trunc('week', datetime) as week_start,
-                        SUM(rain) as total_rain
-                    FROM weather_data
-                    GROUP BY date_trunc('week', datetime)
-                    ORDER BY week_start ASC
-                """)
-            else:
-                cursor.execute("""
-                    SELECT 
-                        date_trunc('week', datetime) as week_start,
-                        SUM(rain) as total_rain
-                    FROM weather_data
-                    WHERE datetime >= NOW() - make_interval(days => %s)
-                    GROUP BY date_trunc('week', datetime)
-                    ORDER BY week_start ASC
-                """, (days,))
-            results = cursor.fetchall()
-            
-            return [dict(row) for row in results]
-    finally:
-        conn.close()
+    with conn.cursor() as cursor:
+        # Bei 365 Tagen: alle verfügbaren Daten zurückgeben
+        if days >= 365:
+            cursor.execute("""
+                SELECT 
+                    date_trunc('week', datetime) as week_start,
+                    SUM(rain) as total_rain
+                FROM weather_data
+                GROUP BY date_trunc('week', datetime)
+                ORDER BY week_start ASC
+            """)
+        else:
+            cursor.execute("""
+                SELECT 
+                    date_trunc('week', datetime) as week_start,
+                    SUM(rain) as total_rain
+                FROM weather_data
+                WHERE datetime >= NOW() - make_interval(days => %s)
+                GROUP BY date_trunc('week', datetime)
+                ORDER BY week_start ASC
+            """, (days,))
+        results = cursor.fetchall()
+        
+        return [dict(row) for row in results]
+
+
+@app.get("/weather/hourly-aggregated-range", response_model=List[dict], tags=["Aggregated Data"])
+async def get_hourly_aggregated_range(
+    start: datetime = Query(..., description="Startdatum (ISO 8601)"),
+    end: datetime = Query(..., description="Enddatum (ISO 8601)"),
+    conn = Depends(get_db_conn),
+):
+    """Gibt stündlich aggregierte Wetterdaten für einen bestimmten Zeitraum zurück"""
+    if start >= end:
+        raise HTTPException(status_code=400, detail="Startdatum muss vor Enddatum liegen")
+    
+    with conn.cursor() as cursor:
+        cursor.execute("""
+            SELECT 
+                date_trunc('hour', datetime) as datetime,
+                AVG(temperature)::float as temperature,
+                ROUND(AVG(humidity))::int as humidity,
+                AVG(pressure)::float as pressure,
+                AVG(wind_speed * 1.60934)::float as wind_speed,
+                MAX(wind_gust * 1.60934)::float as wind_gust,
+                AVG(wind_dir)::float as wind_dir
+            FROM weather_data
+            WHERE datetime BETWEEN %s AND %s
+            GROUP BY date_trunc('hour', datetime)
+            ORDER BY datetime ASC
+        """, (start, end))
+        results = cursor.fetchall()
+        
+        return [dict(row) for row in results]
+
+
+@app.get("/weather/daily-aggregated-range", response_model=List[dict], tags=["Aggregated Data"])
+async def get_daily_aggregated_range(
+    start: datetime = Query(..., description="Startdatum (ISO 8601)"),
+    end: datetime = Query(..., description="Enddatum (ISO 8601)"),
+    conn = Depends(get_db_conn),
+):
+    """Gibt täglich aggregierte Wetterdaten mit Min/Max-Temperaturen für einen bestimmten Zeitraum zurück"""
+    if start >= end:
+        raise HTTPException(status_code=400, detail="Startdatum muss vor Enddatum liegen")
+    
+    with conn.cursor() as cursor:
+        cursor.execute("""
+            SELECT 
+                date_trunc('day', datetime) as datetime,
+                AVG(temperature)::float as temperature,
+                MIN(temperature)::float as min_temperature,
+                MAX(temperature)::float as max_temperature,
+                ROUND(AVG(humidity))::int as humidity,
+                MIN(humidity)::int as min_humidity,
+                MAX(humidity)::int as max_humidity,
+                AVG(pressure)::float as pressure,
+                MIN(pressure)::float as min_pressure,
+                MAX(pressure)::float as max_pressure,
+                AVG(wind_speed * 1.60934)::float as wind_speed,
+                MAX(wind_gust * 1.60934)::float as wind_gust,
+                AVG(wind_dir)::float as wind_dir,
+                SUM(rain)::float as total_rain
+            FROM weather_data
+            WHERE datetime BETWEEN %s AND %s
+            GROUP BY date_trunc('day', datetime)
+            ORDER BY datetime ASC
+        """, (start, end))
+        results = cursor.fetchall()
+        
+        return [dict(row) for row in results]
 
 
 if __name__ == "__main__":

api/main.py_org

@@ -0,0 +1,598 @@
+from fastapi import FastAPI, HTTPException, Query
+from fastapi.middleware.cors import CORSMiddleware
+from pydantic import BaseModel, Field, ConfigDict
+from typing import List, Optional
+from datetime import datetime, timedelta
+import os
+from pathlib import Path
+from dotenv import load_dotenv
+import psycopg
+from psycopg.rows import dict_row
+import logging
+
+# Logging konfigurieren
+logging.basicConfig(
+    level=logging.INFO,
+    format='%(asctime)s - %(levelname)s - %(message)s'
+)
+logger = logging.getLogger(__name__)
+
+# Umgebungsvariablen laden
+env_path = Path(__file__).parent.parent / '.env'
+load_dotenv(dotenv_path=env_path)
+
+# Datenbank-Konfiguration
+DB_HOST = os.getenv('DB_HOST', 'localhost')
+DB_PORT = int(os.getenv('DB_PORT', 5432))
+DB_NAME = os.getenv('DB_NAME', 'wetterstation')
+DB_USER = os.getenv('DB_USER')
+DB_PASSWORD = os.getenv('DB_PASSWORD')
+
+# FastAPI App erstellen
+app = FastAPI(
+    title="Wetterstation API",
+    description="API zum Auslesen von Wetterdaten",
+    version="1.0.0"
+)
+
+# CORS Middleware — auf bekannte Frontend-Domains beschraenkt.
+# Zusaetzliche Origins koennen via ENV CORS_EXTRA_ORIGINS (Komma-separiert) gesetzt werden.
+_default_origins = [
+    "https://stwwetter.fuerst-stuttgart.de",
+    "https://sternwarte-welzheim.de",
+    "http://localhost:3000",
+    "http://localhost:5173",
+]
+_extra = os.getenv("CORS_EXTRA_ORIGINS", "")
+_extra_list = [o.strip() for o in _extra.split(",") if o.strip()]
+ALLOWED_ORIGINS = _default_origins + _extra_list
+ 
+app.add_middleware(
+    CORSMiddleware,
+    allow_origins=ALLOWED_ORIGINS,
+    allow_credentials=False,           # API liest nur, keine Cookies/Auth noetig
+    allow_methods=["GET", "OPTIONS"],  # API ist read-only
+    allow_headers=["Content-Type"],
+    max_age=600,
+)
+logger.info("CORS aktiv fuer: %s", ALLOWED_ORIGINS)
+ 
+
+# Pydantic Models
+class WeatherData(BaseModel):
+    model_config = ConfigDict(from_attributes=True)
+    
+    id: int
+    datetime: datetime
+    temperature: Optional[float] = None
+    humidity: Optional[int] = None
+    pressure: Optional[float] = None
+    wind_speed: Optional[float] = None
+    wind_gust: Optional[float] = None
+    wind_dir: Optional[float] = None
+    rain: Optional[float] = None
+    rain_rate: Optional[float] = None
+    bar_trend: Optional[int] = None
+    received_at: datetime
+
+
+class WeatherStats(BaseModel):
+    avg_temperature: Optional[float] = None
+    min_temperature: Optional[float] = None
+    max_temperature: Optional[float] = None
+    avg_humidity: Optional[float] = None
+    avg_pressure: Optional[float] = None
+    avg_wind_speed: Optional[float] = None
+    max_wind_gust: Optional[float] = None
+    total_rain: Optional[float] = None
+    data_points: int
+
+
+class HealthResponse(BaseModel):
+    status: str
+    database: str
+    timestamp: datetime
+
+
+# Datenbankverbindung
+def get_db_connection():
+    """Erstellt eine Datenbankverbindung"""
+    try:
+        conn = psycopg.connect(
+            host=DB_HOST,
+            port=DB_PORT,
+            dbname=DB_NAME,
+            user=DB_USER,
+            password=DB_PASSWORD,
+            row_factory=dict_row
+        )
+        return conn
+    except Exception as e:
+        logger.error(f"Datenbankverbindungsfehler: {e}")
+        raise HTTPException(status_code=500, detail="Datenbankverbindung fehlgeschlagen")
+
+
+# API Endpoints
+@app.get("/", tags=["General"])
+async def root():
+    """Root Endpoint"""
+    return {
+        "message": "Wetterstation API",
+        "version": "1.0.0",
+        "docs": "/docs"
+    }
+
+
+@app.get("/health", response_model=HealthResponse, tags=["General"])
+async def health_check():
+    """Health Check Endpoint"""
+    try:
+        conn = get_db_connection()
+        with conn.cursor() as cursor:
+            cursor.execute("SELECT 1")
+        conn.close()
+        db_status = "connected"
+    except Exception:
+        db_status = "disconnected"
+    
+    return {
+        "status": "ok" if db_status == "connected" else "error",
+        "database": db_status,
+        "timestamp": datetime.now()
+    }
+
+
+@app.get("/weather/latest", response_model=WeatherData, tags=["Weather Data"])
+async def get_latest_weather():
+    """Gibt die neuesten Wetterdaten zurück"""
+    conn = get_db_connection()
+    try:
+        with conn.cursor() as cursor:
+            cursor.execute("""
+                SELECT id, datetime, temperature, humidity, pressure,
+                       wind_speed * 1.60934 as wind_speed,
+                       wind_gust * 1.60934 as wind_gust,
+                       wind_dir, rain, rain_rate, bar_trend, received_at
+                FROM weather_data 
+                ORDER BY datetime DESC 
+                LIMIT 1
+            """)
+            result = cursor.fetchone()
+            
+            if not result:
+                raise HTTPException(status_code=404, detail="Keine Daten verfügbar")
+            
+            return dict(result)
+    finally:
+        conn.close()
+
+
+@app.get("/weather/current", response_model=WeatherData, tags=["Weather Data"])
+async def get_current_weather():
+    """Alias für /weather/latest - gibt aktuelle Wetterdaten zurück"""
+    return await get_latest_weather()
+
+
+@app.get("/weather/history", response_model=List[WeatherData], tags=["Weather Data"])
+async def get_weather_history(
+    hours: int = Query(24, ge=1, le=168, description="Anzahl Stunden zurück (max 168 = 7 Tage)"),
+    limit: int = Query(1000, ge=1, le=10000, description="Maximale Anzahl Datensätze")
+):
+    """Gibt historische Wetterdaten der letzten X Stunden zurück"""
+    conn = get_db_connection()
+    try:
+        with conn.cursor() as cursor:
+            cursor.execute("""
+                SELECT id, datetime, temperature, humidity, pressure,
+                       wind_speed * 1.60934 as wind_speed,
+                       wind_gust * 1.60934 as wind_gust,
+                       wind_dir, rain, rain_rate, bar_trend, received_at
+                FROM weather_data 
+                WHERE datetime >= NOW() - make_interval(hours => %s)
+                ORDER BY datetime DESC
+                LIMIT %s
+            """, (hours, limit))
+            results = cursor.fetchall()
+            
+            return [dict(row) for row in results]
+    finally:
+        conn.close()
+
+
+@app.get("/weather/range", response_model=List[WeatherData], tags=["Weather Data"])
+async def get_weather_by_date_range(
+    start: datetime = Query(..., description="Startdatum (ISO 8601)"),
+    end: datetime = Query(..., description="Enddatum (ISO 8601)"),
+    limit: int = Query(10000, ge=1, le=50000, description="Maximale Anzahl Datensätze")
+):
+    """Gibt Wetterdaten für einen bestimmten Zeitraum zurück"""
+    if start >= end:
+        raise HTTPException(status_code=400, detail="Startdatum muss vor Enddatum liegen")
+    
+    conn = get_db_connection()
+    try:
+        with conn.cursor() as cursor:
+            cursor.execute("""
+                SELECT * FROM weather_data 
+                WHERE datetime BETWEEN %s AND %s
+                ORDER BY datetime ASC
+                LIMIT %s
+            """, (start, end, limit))
+            results = cursor.fetchall()
+            
+            return [dict(row) for row in results]
+    finally:
+        conn.close()
+
+
+@app.get("/weather/stats", response_model=WeatherStats, tags=["Statistics"])
+async def get_weather_statistics(
+    hours: int = Query(24, ge=1, le=168, description="Zeitraum in Stunden für Statistiken")
+):
+    """Gibt aggregierte Statistiken für den angegebenen Zeitraum zurück"""
+    conn = get_db_connection()
+    try:
+        with conn.cursor() as cursor:
+            cursor.execute("""
+                SELECT 
+                    AVG(temperature) as avg_temperature,
+                    MIN(temperature) as min_temperature,
+                    MAX(temperature) as max_temperature,
+                    AVG(humidity) as avg_humidity,
+                    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,
+                    COUNT(*) as data_points
+                FROM weather_data
+                WHERE datetime >= NOW() - make_interval(hours => %s)
+            """, (hours,))
+            result = cursor.fetchone()
+            
+            if not result or result['data_points'] == 0:
+                raise HTTPException(status_code=404, detail="Keine Daten für den Zeitraum verfügbar")
+            
+            return dict(result)
+    finally:
+        conn.close()
+
+
+@app.get("/weather/daily", response_model=List[WeatherStats], tags=["Statistics"])
+async def get_daily_statistics(
+    days: int = Query(7, ge=1, le=90, description="Anzahl Tage zurück (max 90)")
+):
+    """Gibt tägliche Statistiken für die letzten X Tage zurück"""
+    conn = get_db_connection()
+    try:
+        with conn.cursor() as cursor:
+            cursor.execute("""
+                SELECT 
+                    DATE(datetime) as date,
+                    AVG(temperature) as avg_temperature,
+                    MIN(temperature) as min_temperature,
+                    MAX(temperature) as max_temperature,
+                    AVG(humidity) as avg_humidity,
+                    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,
+                    COUNT(*) as data_points
+                FROM weather_data
+                WHERE datetime >= NOW() - make_interval(days => %s)
+                GROUP BY DATE(datetime)
+                ORDER BY date DESC
+            """, (days,))
+            results = cursor.fetchall()
+            
+            return [dict(row) for row in results]
+    finally:
+        conn.close()
+
+
+@app.get("/weather/temperature", response_model=List[dict], tags=["Weather Data"])
+async def get_temperature_data(
+    hours: int = Query(24, ge=1, le=168, description="Anzahl Stunden zurück")
+):
+    """Gibt nur Temperatur-Zeitreihen zurück (optimiert für Diagramme)"""
+    conn = get_db_connection()
+    try:
+        with conn.cursor() as cursor:
+            cursor.execute("""
+                SELECT datetime, temperature 
+                FROM weather_data 
+                WHERE datetime >= NOW() - make_interval(hours => %s)
+                  AND temperature IS NOT NULL
+                ORDER BY datetime ASC
+            """, (hours,))
+            results = cursor.fetchall()
+            
+            return [dict(row) for row in results]
+    finally:
+        conn.close()
+
+
+@app.get("/weather/wind", response_model=List[dict], tags=["Weather Data"])
+async def get_wind_data(
+    hours: int = Query(24, ge=1, le=168, description="Anzahl Stunden zurück")
+):
+    """Gibt nur Wind-Daten zurück (Geschwindigkeit, Richtung, Böen)"""
+    conn = get_db_connection()
+    try:
+        with conn.cursor() as cursor:
+            cursor.execute("""
+                SELECT datetime, 
+                       wind_speed * 1.60934 as wind_speed,
+                       wind_gust * 1.60934 as wind_gust,
+                       wind_dir 
+                FROM weather_data 
+                WHERE datetime >= NOW() - make_interval(hours => %s)
+                ORDER BY datetime ASC
+            """, (hours,))
+            results = cursor.fetchall()
+            
+            return [dict(row) for row in results]
+    finally:
+        conn.close()
+
+
+@app.get("/weather/rain", response_model=List[dict], tags=["Weather Data"])
+async def get_rain_data(
+    hours: int = Query(24, ge=1, le=168, description="Anzahl Stunden zurück")
+):
+    """Gibt nur Regen-Daten zurück"""
+    conn = get_db_connection()
+    try:
+        with conn.cursor() as cursor:
+            cursor.execute("""
+                SELECT datetime, rain, rain_rate 
+                FROM weather_data 
+                WHERE datetime >= NOW() - make_interval(hours => %s)
+                ORDER BY datetime ASC
+            """, (hours,))
+            results = cursor.fetchall()
+            
+            return [dict(row) for row in results]
+    finally:
+        conn.close()
+
+
+@app.get("/weather/hourly-aggregated", response_model=List[WeatherData], tags=["Aggregated Data"])
+async def get_hourly_aggregated_data(
+    days: int = Query(7, ge=1, le=60, description="Anzahl Tage zurück (max 60)")
+):
+    """Gibt stündlich aggregierte Wetterdaten zurück (Stundenmittel)"""
+    conn = get_db_connection()
+    try:
+        with conn.cursor() as cursor:
+            cursor.execute("""
+                SELECT 
+                    0 as id,
+                    date_trunc('hour', datetime) as datetime,
+                    AVG(temperature) as temperature,
+                    ROUND(AVG(humidity)) as humidity,
+                    AVG(pressure) as pressure,
+                    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,
+                    AVG(rain_rate) as rain_rate,
+                    MAX(received_at) as received_at
+                FROM weather_data
+                WHERE datetime >= NOW() - make_interval(days => %s)
+                GROUP BY date_trunc('hour', datetime)
+                ORDER BY datetime ASC
+            """, (days,))
+            results = cursor.fetchall()
+            
+            return [dict(row) for row in results]
+    finally:
+        conn.close()
+
+
+@app.get("/weather/daily-aggregated", response_model=List[dict], tags=["Aggregated Data"])
+async def get_daily_aggregated_data(
+    days: int = Query(365, ge=1, le=730, description="Anzahl Tage zurück (max 730)")
+):
+    """Gibt täglich aggregierte Wetterdaten zurück (Tagesmittel mit Min/Max-Temperaturen)"""
+    conn = get_db_connection()
+    try:
+        with conn.cursor() as cursor:
+            cursor.execute("""
+                    SELECT 
+                        date_trunc('day', datetime) as datetime,
+                        AVG(temperature)::float as temperature,
+                        MIN(temperature)::float as min_temperature,
+                        MAX(temperature)::float as max_temperature,
+                        ROUND(AVG(humidity))::int as humidity,
+                        MIN(humidity)::int as min_humidity,
+                        MAX(humidity)::int as max_humidity,
+                        AVG(pressure)::float as pressure,
+                        MIN(pressure)::float as min_pressure,
+                        MAX(pressure)::float as max_pressure,
+                        AVG(wind_speed * 1.60934)::float as wind_speed,
+                        MAX(wind_gust * 1.60934)::float as wind_gust,
+                        AVG(wind_dir)::float as wind_dir,
+                        SUM(rain)::float as total_rain
+                    FROM weather_data
+                    WHERE datetime >= NOW() - make_interval(days => %s)
+                    GROUP BY date_trunc('day', datetime)
+                    ORDER BY datetime ASC
+                """, (days,))
+            results = cursor.fetchall()
+            
+            return [dict(row) for row in results]
+    finally:
+        conn.close()
+
+
+@app.get("/weather/daily-with-minmax", response_model=List[dict], tags=["Aggregated Data"])
+async def get_daily_with_minmax_data(
+    days: int = Query(30, ge=1, le=90, description="Anzahl Tage zurück (max 90)")
+):
+    """Gibt täglich aggregierte Wetterdaten mit Min/Max-Temperaturen zurück"""
+    conn = get_db_connection()
+    try:
+        with conn.cursor() as cursor:
+            cursor.execute("""
+                SELECT 
+                    date_trunc('day', datetime) as datetime,
+                    AVG(temperature)::float as temperature,
+                    MIN(temperature)::float as min_temperature,
+                    MAX(temperature)::float as max_temperature,
+                    ROUND(AVG(humidity))::int as humidity,
+                    MIN(humidity)::int as min_humidity,
+                    MAX(humidity)::int as max_humidity,
+                    AVG(pressure)::float as pressure,
+                    MIN(pressure)::float as min_pressure,
+                    MAX(pressure)::float as max_pressure,
+                    AVG(wind_speed * 1.60934)::float as wind_speed,
+                    MAX(wind_gust * 1.60934)::float as wind_gust,
+                    AVG(wind_dir)::float as wind_dir,
+                    SUM(rain)::float as total_rain
+                FROM weather_data
+                WHERE datetime >= NOW() - make_interval(days => %s)
+                GROUP BY date_trunc('day', datetime)
+                ORDER BY datetime ASC
+            """, (days,))
+            results = cursor.fetchall()
+            
+            return [dict(row) for row in results]
+    finally:
+        conn.close()
+
+
+@app.get("/weather/rain-daily", response_model=List[dict], tags=["Aggregated Data"])
+async def get_daily_rain_data(
+    days: int = Query(30, ge=1, le=365, description="Anzahl Tage zurück")
+):
+    """Gibt tägliche Regensummen zurück"""
+    conn = get_db_connection()
+    try:
+        with conn.cursor() as cursor:
+            cursor.execute("""
+                SELECT 
+                    date_trunc('day', datetime) as date,
+                    SUM(rain) as total_rain
+                FROM weather_data
+                WHERE datetime >= NOW() - make_interval(days => %s)
+                GROUP BY date_trunc('day', datetime)
+                ORDER BY date ASC
+            """, (days,))
+            results = cursor.fetchall()
+            
+            return [dict(row) for row in results]
+    finally:
+        conn.close()
+
+
+@app.get("/weather/rain-weekly", response_model=List[dict], tags=["Aggregated Data"])
+async def get_weekly_rain_data(
+    days: int = Query(365, ge=1, le=730, description="Anzahl Tage zurück")
+):
+    """Gibt wöchentliche Regensummen zurück (Woche = Mo-So)"""
+    conn = get_db_connection()
+    try:
+        with conn.cursor() as cursor:
+            # Bei 365 Tagen: alle verfügbaren Daten zurückgeben
+            if days >= 365:
+                cursor.execute("""
+                    SELECT 
+                        date_trunc('week', datetime) as week_start,
+                        SUM(rain) as total_rain
+                    FROM weather_data
+                    GROUP BY date_trunc('week', datetime)
+                    ORDER BY week_start ASC
+                """)
+            else:
+                cursor.execute("""
+                    SELECT 
+                        date_trunc('week', datetime) as week_start,
+                        SUM(rain) as total_rain
+                    FROM weather_data
+                    WHERE datetime >= NOW() - make_interval(days => %s)
+                    GROUP BY date_trunc('week', datetime)
+                    ORDER BY week_start ASC
+                """, (days,))
+            results = cursor.fetchall()
+            
+            return [dict(row) for row in results]
+    finally:
+        conn.close()
+
+
+@app.get("/weather/hourly-aggregated-range", response_model=List[dict], tags=["Aggregated Data"])
+async def get_hourly_aggregated_range(
+    start: datetime = Query(..., description="Startdatum (ISO 8601)"),
+    end: datetime = Query(..., description="Enddatum (ISO 8601)")
+):
+    """Gibt stündlich aggregierte Wetterdaten für einen bestimmten Zeitraum zurück"""
+    if start >= end:
+        raise HTTPException(status_code=400, detail="Startdatum muss vor Enddatum liegen")
+    
+    conn = get_db_connection()
+    try:
+        with conn.cursor() as cursor:
+            cursor.execute("""
+                SELECT 
+                    date_trunc('hour', datetime) as datetime,
+                    AVG(temperature)::float as temperature,
+                    ROUND(AVG(humidity))::int as humidity,
+                    AVG(pressure)::float as pressure,
+                    AVG(wind_speed * 1.60934)::float as wind_speed,
+                    MAX(wind_gust * 1.60934)::float as wind_gust,
+                    AVG(wind_dir)::float as wind_dir
+                FROM weather_data
+                WHERE datetime BETWEEN %s AND %s
+                GROUP BY date_trunc('hour', datetime)
+                ORDER BY datetime ASC
+            """, (start, end))
+            results = cursor.fetchall()
+            
+            return [dict(row) for row in results]
+    finally:
+        conn.close()
+
+
+@app.get("/weather/daily-aggregated-range", response_model=List[dict], tags=["Aggregated Data"])
+async def get_daily_aggregated_range(
+    start: datetime = Query(..., description="Startdatum (ISO 8601)"),
+    end: datetime = Query(..., description="Enddatum (ISO 8601)")
+):
+    """Gibt täglich aggregierte Wetterdaten mit Min/Max-Temperaturen für einen bestimmten Zeitraum zurück"""
+    if start >= end:
+        raise HTTPException(status_code=400, detail="Startdatum muss vor Enddatum liegen")
+    
+    conn = get_db_connection()
+    try:
+        with conn.cursor() as cursor:
+            cursor.execute("""
+                SELECT 
+                    date_trunc('day', datetime) as datetime,
+                    AVG(temperature)::float as temperature,
+                    MIN(temperature)::float as min_temperature,
+                    MAX(temperature)::float as max_temperature,
+                    ROUND(AVG(humidity))::int as humidity,
+                    MIN(humidity)::int as min_humidity,
+                    MAX(humidity)::int as max_humidity,
+                    AVG(pressure)::float as pressure,
+                    MIN(pressure)::float as min_pressure,
+                    MAX(pressure)::float as max_pressure,
+                    AVG(wind_speed * 1.60934)::float as wind_speed,
+                    MAX(wind_gust * 1.60934)::float as wind_gust,
+                    AVG(wind_dir)::float as wind_dir,
+                    SUM(rain)::float as total_rain
+                FROM weather_data
+                WHERE datetime BETWEEN %s AND %s
+                GROUP BY date_trunc('day', datetime)
+                ORDER BY datetime ASC
+            """, (start, end))
+            results = cursor.fetchall()
+            
+            return [dict(row) for row in results]
+    finally:
+        conn.close()
+
+
+if __name__ == "__main__":
+    import uvicorn
+    uvicorn.run(app, host="0.0.0.0", port=8000)

api/requirements.txt

@@ -1,5 +1,6 @@
-fastapi>=0.115.0
-uvicorn[standard]>=0.32.0
-psycopg[binary]>=3.2.0
-python-dotenv>=1.0.0
-pydantic>=2.10.0
+fastapi==0.115.5
+uvicorn[standard]==0.34.0
+psycopg[binary]==3.2.3
+psycopg_pool==3.2.4
+python-dotenv==1.0.1
+pydantic==2.10.3

collector/main.py

@@ -3,145 +3,305 @@
 import os
 import json
 import logging
+import secrets
+from contextlib import asynccontextmanager
 from datetime import datetime
 from pathlib import Path
+from typing import Optional
+
 from dotenv import load_dotenv
-from fastapi import FastAPI, HTTPException, Request
-from pydantic import BaseModel
-import psycopg2
-from psycopg2.extras import RealDictCursor
+from fastapi import FastAPI, HTTPException, Request, Header, Depends, status
+from fastapi.exceptions import RequestValidationError
+from fastapi.responses import JSONResponse
+from pydantic import BaseModel, ConfigDict, field_validator
+import psycopg
+from psycopg_pool import ConnectionPool
+from slowapi import Limiter
+from slowapi.errors import RateLimitExceeded
+from slowapi.util import get_remote_address
 import uvicorn
 
-# Logging konfigurieren
+
+# --------------------------------------------------------------------------- #
+# Konfiguration
+# --------------------------------------------------------------------------- #
+
+env_path = Path(__file__).parent.parent / ".env"
+load_dotenv(dotenv_path=env_path)
+
+COLLECTOR_PORT = int(os.getenv("COLLECTOR_PORT", 8001))
+
+DB_HOST = os.getenv("DB_HOST", "localhost")
+DB_PORT = int(os.getenv("DB_PORT", 5432))
+DB_NAME = os.getenv("DB_NAME", "wetterstation")
+DB_USER = os.getenv("DB_USER")
+DB_PASSWORD = os.getenv("DB_PASSWORD")
+
+# Sicherheit
+COLLECTOR_API_KEY = os.getenv("COLLECTOR_API_KEY")
+ENVIRONMENT = os.getenv("ENVIRONMENT", "production").lower()
+IS_DEV = ENVIRONMENT in ("dev", "development", "local")
+
+# Limits
+MAX_BODY_BYTES = int(os.getenv("COLLECTOR_MAX_BODY_BYTES", 16 * 1024))  # 16 KiB
+RATE_LIMIT = os.getenv("COLLECTOR_RATE_LIMIT", "30/minute")
+
+# Logging — keine Rohdaten auf INFO mehr
 logging.basicConfig(
-    level=logging.INFO,
-    format='%(asctime)s - %(levelname)s - %(message)s'
+    level=logging.DEBUG if IS_DEV else logging.INFO,
+    format="%(asctime)s - %(levelname)s - %(message)s",
 )
 logger = logging.getLogger(__name__)
 
-# Umgebungsvariablen laden - eine Ebene höher
-env_path = Path(__file__).parent.parent / '.env'
-load_dotenv(dotenv_path=env_path)
 
-# Konfiguration
-COLLECTOR_PORT = int(os.getenv('COLLECTOR_PORT', 8001))
+# --------------------------------------------------------------------------- #
+# Connection Pool
+# --------------------------------------------------------------------------- #
 
-DB_HOST = os.getenv('DB_HOST', 'localhost')
-DB_PORT = int(os.getenv('DB_PORT', 5432))
-DB_NAME = os.getenv('DB_NAME', 'wetterstation')
-DB_USER = os.getenv('DB_USER')
-DB_PASSWORD = os.getenv('DB_PASSWORD')
-
-# FastAPI App
-app = FastAPI(title="Weather Data Collector API")
+def _build_conninfo() -> str:
+    return (
+        f"host={DB_HOST} port={DB_PORT} dbname={DB_NAME} "
+        f"user={DB_USER} password={DB_PASSWORD}"
+    )
 
 
-# Pydantic Models
+pool: Optional[ConnectionPool] = None
+
+
+# --------------------------------------------------------------------------- #
+# Rate-Limiter
+# --------------------------------------------------------------------------- #
+
+def _limit_key(request: Request) -> str:
+    """Rate-Limit-Key: bei API-Key danach, sonst nach IP.
+
+    Hinter Traefik nutzt slowapi standardmaessig die Peer-IP, was der
+    Proxy-IP entspricht. Wenn ein API-Key da ist, bevorzugen wir den.
+    """
+    api_key = request.headers.get("x-api-key")
+    if api_key:
+        # nur Praefix einsetzen, damit der volle Key nicht in Logs landet
+        return f"key:{api_key[:8]}"
+    fwd = request.headers.get("x-forwarded-for")
+    if fwd:
+        return f"ip:{fwd.split(',')[0].strip()}"
+    return f"ip:{get_remote_address(request)}"
+
+
+limiter = Limiter(key_func=_limit_key, default_limits=[])
+
+
+# --------------------------------------------------------------------------- #
+# Auth-Dependency
+# --------------------------------------------------------------------------- #
+
+async def require_api_key(x_api_key: Optional[str] = Header(default=None)) -> None:
+    """Prueft den API-Key timing-safe gegen die Konfiguration."""
+    if not COLLECTOR_API_KEY:
+        # Fail-closed: wenn kein Key konfiguriert ist, ist die API gesperrt.
+        logger.error(
+            "COLLECTOR_API_KEY ist nicht gesetzt - alle Schreibzugriffe blockiert."
+        )
+        raise HTTPException(
+            status_code=status.HTTP_503_SERVICE_UNAVAILABLE,
+            detail="Service not configured",
+        )
+    if not x_api_key or not secrets.compare_digest(x_api_key, COLLECTOR_API_KEY):
+        raise HTTPException(
+            status_code=status.HTTP_401_UNAUTHORIZED,
+            detail="Invalid or missing API key",
+        )
+
+
+# --------------------------------------------------------------------------- #
+# Pydantic Models mit Plausibilitaetspruefung
+# --------------------------------------------------------------------------- #
+
 class WeatherDataInput(BaseModel):
-    # Unterstütze beide Formate: datetime (String) oder dateTime (Unix-Timestamp)
-    datetime: str | None = None
-    dateTime: int | None = None
-    
-    # Unterstütze beide Feldnamen
-    temperature: float | None = None
-    outTemp: float | None = None  # Fahrenheit
-    
-    humidity: int | None = None
-    outHumidity: float | None = None
-    
-    pressure: float | None = None
-    barometer: float | None = None  # inHg
-    
-    windSpeed: float | None = None  # mph
-    wind_speed: float | None = None
-    
-    windGust: float | None = None  # mph
-    wind_gust: float | None = None
-    
-    windDir: float | None = None
-    wind_dir: float | None = None
-    
-    rain: float | None = None
-    rainRate: float | None = None
-    rain_rate: float | None = None
-    
-    model_config = {"extra": "allow"}
-    
+    # extra-Felder verwerfen statt akzeptieren -> kein Pollution
+    model_config = ConfigDict(extra="ignore")
+
+    # Zeitstempel
+    time: Optional[str] = None
+    datetime: Optional[str] = None
+    dateTime: Optional[int] = None
+
+    # Aussentemperatur
+    tempOut: Optional[float] = None       # Celsius (neu)
+    temperature: Optional[float] = None   # Celsius
+    outTemp: Optional[float] = None       # Fahrenheit (alt)
+
+    # Innentemperatur
+    tempIn: Optional[float] = None        # Celsius
+
+    # Aussenfeuchte
+    humOut: Optional[int] = None
+    humidity: Optional[int] = None
+    outHumidity: Optional[float] = None
+
+    # Innenfeuchte
+    humIn: Optional[int] = None
+
+    # Luftdruck
+    pressure: Optional[float] = None      # hPa
+    barometer: Optional[float] = None     # inHg
+    barTrend: Optional[int] = None
+
+    # Wind
+    windAvg: Optional[float] = None
+    windSpeed: Optional[float] = None
+    wind_speed: Optional[float] = None
+    windGust: Optional[float] = None
+    wind_gust: Optional[float] = None
+    windDir: Optional[float] = None
+    wind_dir: Optional[float] = None
+
+    # Niederschlag
+    rain: Optional[float] = None
+    rainRate: Optional[float] = None
+    rain_rate: Optional[float] = None
+
+    # Vorhersage
+    forecast: Optional[int] = None
+
+    # ---- Validatoren -----------------------------------------------------
+
+    @field_validator("tempOut", "temperature", "tempIn")
+    @classmethod
+    def _temp_celsius_range(cls, v: Optional[float]) -> Optional[float]:
+        if v is not None and not (-90.0 <= v <= 70.0):
+            raise ValueError("temperature out of plausible range (Celsius)")
+        return v
+
+    @field_validator("outTemp")
+    @classmethod
+    def _temp_fahrenheit_range(cls, v: Optional[float]) -> Optional[float]:
+        if v is not None and not (-130.0 <= v <= 160.0):
+            raise ValueError("outTemp out of plausible range (Fahrenheit)")
+        return v
+
+    @field_validator("humOut", "humidity", "humIn")
+    @classmethod
+    def _humidity_int_range(cls, v: Optional[int]) -> Optional[int]:
+        if v is not None and not (0 <= v <= 100):
+            raise ValueError("humidity out of range")
+        return v
+
+    @field_validator("outHumidity")
+    @classmethod
+    def _humidity_float_range(cls, v: Optional[float]) -> Optional[float]:
+        if v is not None and not (0.0 <= v <= 100.0):
+            raise ValueError("outHumidity out of range")
+        return v
+
+    @field_validator("pressure")
+    @classmethod
+    def _pressure_hpa_range(cls, v: Optional[float]) -> Optional[float]:
+        if v is not None and not (800.0 <= v <= 1100.0):
+            raise ValueError("pressure (hPa) out of plausible range")
+        return v
+
+    @field_validator("barometer")
+    @classmethod
+    def _pressure_inhg_range(cls, v: Optional[float]) -> Optional[float]:
+        if v is not None and not (23.0 <= v <= 32.5):
+            raise ValueError("barometer (inHg) out of plausible range")
+        return v
+
+    @field_validator("windAvg", "windSpeed", "wind_speed", "windGust", "wind_gust")
+    @classmethod
+    def _wind_speed_range(cls, v: Optional[float]) -> Optional[float]:
+        if v is not None and not (0.0 <= v <= 120.0):
+            raise ValueError("wind speed out of plausible range")
+        return v
+
+    @field_validator("windDir", "wind_dir")
+    @classmethod
+    def _wind_dir_range(cls, v: Optional[float]) -> Optional[float]:
+        if v is not None and not (0.0 <= v <= 360.0):
+            raise ValueError("wind_dir out of range")
+        return v
+
+    @field_validator("rain", "rainRate", "rain_rate")
+    @classmethod
+    def _rain_range(cls, v: Optional[float]) -> Optional[float]:
+        if v is not None and not (0.0 <= v <= 1000.0):
+            raise ValueError("rain value out of plausible range")
+        return v
+
+    # ---- Konvertierungen -------------------------------------------------
+
     def get_datetime_string(self) -> str:
-        """Konvertiere dateTime (Unix-Timestamp) zu datetime (String)"""
+        if self.time:
+            return self.time
         if self.datetime:
             return self.datetime
-        elif self.dateTime:
-            from datetime import datetime as dt
-            return dt.fromtimestamp(self.dateTime).strftime('%Y-%m-%d %H:%M:%S')
-        raise ValueError("Weder datetime noch dateTime vorhanden")
-    
-    def get_temperature_celsius(self) -> float | None:
-        """Konvertiere Temperatur von Fahrenheit zu Celsius falls nötig"""
+        if self.dateTime is not None:
+            # Plausibilitaet: 2000-01-01 .. 2100-01-01
+            if not (946684800 <= self.dateTime <= 4102444800):
+                raise ValueError("dateTime timestamp out of plausible range")
+            return datetime.fromtimestamp(self.dateTime).strftime("%Y-%m-%d %H:%M:%S")
+        raise ValueError("Kein Zeitstempel vorhanden (time, datetime oder dateTime)")
+
+    def get_temperature_celsius(self) -> Optional[float]:
+        if self.tempOut is not None:
+            return self.tempOut
         if self.temperature is not None:
             return self.temperature
-        elif self.outTemp is not None:
-            # Fahrenheit zu Celsius: (F - 32) * 5/9
+        if self.outTemp is not None:
             return (self.outTemp - 32) * 5 / 9
         return None
-    
-    def get_humidity_int(self) -> int | None:
-        """Hole Humidity-Wert"""
+
+    def get_temp_in(self) -> Optional[float]:
+        return self.tempIn
+
+    def get_humidity_int(self) -> Optional[int]:
+        if self.humOut is not None:
+            return int(self.humOut)
         if self.humidity is not None:
             return int(self.humidity)
-        elif self.outHumidity is not None:
+        if self.outHumidity is not None:
             return int(self.outHumidity)
         return None
-    
-    def get_pressure_hpa(self) -> float | None:
-        """Konvertiere Druck von inHg zu hPa falls nötig"""
+
+    def get_humidity_in(self) -> Optional[int]:
+        return int(self.humIn) if self.humIn is not None else None
+
+    def get_pressure_hpa(self) -> Optional[float]:
         if self.pressure is not None:
             return self.pressure
-        elif self.barometer is not None:
-            # inHg zu hPa: inHg * 33.8639
+        if self.barometer is not None:
             return self.barometer * 33.8639
         return None
-    
-    def get_wind_speed(self) -> float | None:
-        """Hole Windgeschwindigkeit"""
-        return self.windSpeed if self.windSpeed is not None else self.wind_speed
-    
-    def get_wind_gust(self) -> float | None:
-        """Hole Windböen"""
+
+    def get_wind_speed(self) -> Optional[float]:
+        if self.windAvg is not None:
+            return self.windAvg
+        if self.windSpeed is not None:
+            return self.windSpeed
+        return self.wind_speed
+
+    def get_wind_gust(self) -> Optional[float]:
         return self.windGust if self.windGust is not None else self.wind_gust
-    
-    def get_wind_dir(self) -> float | None:
-        """Hole Windrichtung"""
+
+    def get_wind_dir(self) -> Optional[float]:
         return self.windDir if self.windDir is not None else self.wind_dir
-    
-    def get_rain_rate(self) -> float | None:
-        """Hole Regenrate"""
+
+    def get_rain_rate(self) -> Optional[float]:
         return self.rainRate if self.rainRate is not None else self.rain_rate
 
 
-# Datenbankverbindung
-def get_db_connection():
-    """Datenbankverbindung herstellen"""
-    try:
-        conn = psycopg2.connect(
-            host=DB_HOST,
-            port=DB_PORT,
-            database=DB_NAME,
-            user=DB_USER,
-            password=DB_PASSWORD
-        )
-        return conn
-    except Exception as e:
-        logger.error(f"Datenbankverbindungsfehler: {e}")
-        raise HTTPException(status_code=500, detail="Datenbankverbindung fehlgeschlagen")
+# --------------------------------------------------------------------------- #
+# Datenbank-Setup
+# --------------------------------------------------------------------------- #
 
-
-def setup_database():
-    """Tabelle erstellen falls nicht vorhanden"""
-    try:
-        conn = get_db_connection()
+def setup_database() -> None:
+    """Tabelle, fehlende Spalten und Index anlegen (idempotent)."""
+    assert pool is not None
+    with pool.connection() as conn:
         with conn.cursor() as cursor:
-            cursor.execute("""
+            cursor.execute(
+                """
                 CREATE TABLE IF NOT EXISTS weather_data (
                     id SERIAL PRIMARY KEY,
                     datetime TIMESTAMPTZ NOT NULL,
@@ -156,154 +316,320 @@ def setup_database():
                     received_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
                     UNIQUE(datetime)
                 )
-            """)
-            conn.commit()
-            logger.info("Tabelle weather_data bereit")
-        conn.close()
-    except Exception as e:
-        logger.error(f"Fehler bei Datenbanksetup: {e}")
-        raise
+                """
+            )
+            cursor.execute(
+                "ALTER TABLE weather_data ADD COLUMN IF NOT EXISTS temp_in FLOAT"
+            )
+            cursor.execute(
+                "ALTER TABLE weather_data ADD COLUMN IF NOT EXISTS humidity_in INTEGER"
+            )
+            cursor.execute(
+                "ALTER TABLE weather_data ADD COLUMN IF NOT EXISTS forecast INTEGER"
+            )
+            cursor.execute(
+                "ALTER TABLE weather_data ADD COLUMN IF NOT EXISTS bar_trend INTEGER"
+            )
+            cursor.execute(
+                "CREATE INDEX IF NOT EXISTS idx_weather_datetime_desc "
+                "ON weather_data (datetime DESC)"
+            )
+        conn.commit()
+    logger.info("Tabelle weather_data und Index bereit")
 
 
-# API Endpoints
-@app.on_event("startup")
-async def startup_event():
-    """Bei Start die Datenbank initialisieren"""
-    logger.info("Collector API startet...")
+# --------------------------------------------------------------------------- #
+# FastAPI Lifespan
+# --------------------------------------------------------------------------- #
+
+@asynccontextmanager
+async def lifespan(app: FastAPI):
+    global pool
+
+    # Pflicht-Variablen pruefen — fail fast
+    missing = [v for v in ("DB_USER", "DB_PASSWORD") if not os.getenv(v)]
+    if missing:
+        raise RuntimeError(
+            f"Fehlende Umgebungsvariablen: {', '.join(missing)}"
+        )
+    if not COLLECTOR_API_KEY:
+        raise RuntimeError(
+            "COLLECTOR_API_KEY ist nicht gesetzt. "
+            "Mindestens 32 Zeichen empfohlen (z.B. via 'openssl rand -hex 32')."
+        )
+    if len(COLLECTOR_API_KEY) < 16:
+        raise RuntimeError(
+            "COLLECTOR_API_KEY ist zu kurz (Minimum 16 Zeichen)."
+        )
+
+    pool = ConnectionPool(
+        conninfo=_build_conninfo(),
+        min_size=1,
+        max_size=5,
+        timeout=10,
+        kwargs={"autocommit": False},
+    )
+    pool.wait()
+    logger.info("Connection Pool initialisiert (min=1, max=5)")
+
     setup_database()
-    logger.info(f"API läuft auf Port {COLLECTOR_PORT}")
+    logger.info("Collector laeuft auf Port %d (env=%s)", COLLECTOR_PORT, ENVIRONMENT)
 
+    try:
+        yield
+    finally:
+        if pool is not None:
+            pool.close()
+            logger.info("Connection Pool geschlossen")
+
+
+# --------------------------------------------------------------------------- #
+# FastAPI App
+# --------------------------------------------------------------------------- #
+
+app = FastAPI(
+    title="Weather Data Collector API",
+    docs_url="/docs" if IS_DEV else None,
+    redoc_url=None,
+    openapi_url="/openapi.json" if IS_DEV else None,
+    lifespan=lifespan,
+)
+
+# Rate-Limiter an die App binden
+app.state.limiter = limiter
+
+
+@app.exception_handler(RateLimitExceeded)
+async def _rate_limit_handler(request: Request, exc: RateLimitExceeded):
+    return JSONResponse(
+        status_code=status.HTTP_429_TOO_MANY_REQUESTS,
+        content={"detail": "Too many requests"},
+    )
+
+
+@app.exception_handler(RequestValidationError)
+async def _validation_handler(request: Request, exc: RequestValidationError):
+    # Details ins Log, generische Antwort an den Client.
+    logger.warning("Validation error on %s: %s", request.url.path, exc.errors())
+    return JSONResponse(
+        status_code=status.HTTP_422_UNPROCESSABLE_ENTITY,
+        content={"detail": "Validation error"},
+    )
+
+
+@app.exception_handler(Exception)
+async def _unhandled_handler(request: Request, exc: Exception):
+    # NIE Stacktraces oder str(exc) an den Client zurueckgeben.
+    logger.exception("Unhandled error on %s", request.url.path)
+    return JSONResponse(
+        status_code=status.HTTP_500_INTERNAL_SERVER_ERROR,
+        content={"detail": "Internal server error"},
+    )
+
+
+# --------------------------------------------------------------------------- #
+# Body-Size-Middleware
+# --------------------------------------------------------------------------- #
+
+@app.middleware("http")
+async def _limit_body_size(request: Request, call_next):
+    if request.method in ("POST", "PUT", "PATCH"):
+        cl = request.headers.get("content-length")
+        if cl is not None:
+            try:
+                if int(cl) > MAX_BODY_BYTES:
+                    return JSONResponse(
+                        status_code=status.HTTP_413_REQUEST_ENTITY_TOO_LARGE,
+                        content={"detail": "Payload too large"},
+                    )
+            except ValueError:
+                return JSONResponse(
+                    status_code=status.HTTP_400_BAD_REQUEST,
+                    content={"detail": "Invalid Content-Length"},
+                )
+    return await call_next(request)
+
+
+# --------------------------------------------------------------------------- #
+# Endpoints
+# --------------------------------------------------------------------------- #
 
 @app.get("/")
 async def root():
-    """Root Endpoint - GET zeigt Info"""
+    """Info-Endpunkt (kein Auth noetig)."""
     return {
-        "message": "Weather Data Collector API",
-        "version": "1.0.0",
-        "endpoint": "POST /weather or POST /"
+        "service": "Weather Data Collector",
+        "version": "2.0.0",
+        "endpoint": "POST /weather (X-API-Key required)",
     }
 
 
-@app.post("/")
-async def root_post(request: Request):
-    """Root Endpoint - POST akzeptiert Wetterdaten (Alias für /weather)"""
-    try:
-        # Rohen Body lesen
-        body = await request.body()
-        body_str = body.decode('utf-8')
-        logger.info(f"POST auf Root - Raw Body: {body_str}")
-        
-        # Als JSON parsen
-        data_dict = json.loads(body_str)
-        logger.info(f"POST auf Root - Parsed JSON: {data_dict}")
-        
-        # Zu Pydantic Model konvertieren
-        data = WeatherDataInput(**data_dict)
-        return await receive_weather_data(data)
-    except json.JSONDecodeError as e:
-        logger.error(f"JSON Parse Error: {e}")
-        raise HTTPException(status_code=400, detail=f"Invalid JSON: {str(e)}")
-    except Exception as e:
-        logger.error(f"Fehler bei Root POST: {e}")
-        raise HTTPException(status_code=422, detail=f"Validation error: {str(e)}")
-
-
-@app.post("/debug")
-async def debug_post(request: dict):
-    """Debug Endpoint - akzeptiert beliebige JSON und loggt sie"""
-    logger.info(f"Debug: Empfangene Rohdaten: {request}")
-    return {"status": "logged", "data": request}
-
-
 @app.get("/health")
 async def health_check():
-    """Health Check"""
+    """Health-Check ohne Auth, aber ohne sensitive Details."""
     try:
-        conn = get_db_connection()
-        with conn.cursor() as cursor:
-            cursor.execute("SELECT 1")
-        conn.close()
-        return {"status": "healthy", "database": "connected"}
-    except Exception as e:
-        raise HTTPException(status_code=503, detail=f"Database error: {str(e)}")
-
-
-@app.post("/weather")
-async def receive_weather_data(data: WeatherDataInput):
-    """Wetterdaten empfangen und speichern"""
-    logger.info(f"Empfangene Daten: {data.model_dump()}")
-    try:
-        conn = get_db_connection()
-        try:
-            # Konvertiere zu den richtigen Werten
-            dt_string = data.get_datetime_string()
-            temp_c = data.get_temperature_celsius()
-            humidity = data.get_humidity_int()
-            pressure = data.get_pressure_hpa()
-            wind_speed = data.get_wind_speed()
-            wind_gust = data.get_wind_gust()
-            wind_dir = data.get_wind_dir()
-            rain = data.rain
-            rain_rate = data.get_rain_rate()
-            
-            logger.info(f"Konvertierte Daten - datetime: {dt_string}, temp: {temp_c}°C, humidity: {humidity}%, pressure: {pressure} hPa")
-            
+        assert pool is not None
+        with pool.connection() as conn:
             with conn.cursor() as cursor:
-                cursor.execute("""
-                    INSERT INTO weather_data 
-                    (datetime, temperature, humidity, pressure, wind_speed, 
-                     wind_gust, wind_dir, rain, rain_rate)
-                    VALUES (%s, %s, %s, %s, %s, %s, %s, %s, %s)
-                    ON CONFLICT (datetime) DO UPDATE SET
-                        temperature = EXCLUDED.temperature,
-                        humidity = EXCLUDED.humidity,
-                        pressure = EXCLUDED.pressure,
-                        wind_speed = EXCLUDED.wind_speed,
-                        wind_gust = EXCLUDED.wind_gust,
-                        wind_dir = EXCLUDED.wind_dir,
-                        rain = EXCLUDED.rain,
-                        rain_rate = EXCLUDED.rain_rate
-                """, (
-                    dt_string,
-                    temp_c,
-                    humidity,
-                    pressure,
-                    wind_speed,
-                    wind_gust,
-                    wind_dir,
-                    rain,
-                    rain_rate
-                ))
-                conn.commit()
-                logger.info(f"Daten gespeichert für {dt_string} (UTC)")
-            
-            return {
-                "status": "success",
-                "message": f"Weather data for {dt_string} saved successfully"
-            }
-        finally:
-            conn.close()
-            
-    except Exception as e:
-        logger.error(f"Fehler beim Speichern: {e}")
-        raise HTTPException(status_code=500, detail=f"Database error: {str(e)}")
+                cursor.execute("SELECT 1")
+        return {"status": "healthy"}
+    except Exception:
+        logger.exception("Health-Check fehlgeschlagen")
+        raise HTTPException(
+            status_code=status.HTTP_503_SERVICE_UNAVAILABLE,
+            detail="Service unavailable",
+        )
 
 
-def main():
-    """Hauptfunktion"""
-    # Prüfen ob alle nötigen Umgebungsvariablen gesetzt sind
-    required_vars = ['DB_USER', 'DB_PASSWORD']
-    missing_vars = [var for var in required_vars if not os.getenv(var)]
-    
-    if missing_vars:
-        logger.error(f"Fehlende Umgebungsvariablen: {', '.join(missing_vars)}")
-        logger.error("Bitte .env Datei mit den erforderlichen Werten erstellen")
-        return
-    
-    uvicorn.run(app, host="0.0.0.0", port=COLLECTOR_PORT)
+def _store_weather(data: WeatherDataInput) -> dict:
+    """Schreibt einen Datenpunkt; setzt voraus, dass `data` validiert ist."""
+    assert pool is not None
 
+    dt_string = data.get_datetime_string()
+    values = (
+        dt_string,
+        data.get_temperature_celsius(),
+        data.get_temp_in(),
+        data.get_humidity_int(),
+        data.get_humidity_in(),
+        data.get_pressure_hpa(),
+        data.barTrend,
+        data.get_wind_speed(),
+        data.get_wind_gust(),
+        data.get_wind_dir(),
+        data.rain,
+        data.get_rain_rate(),
+        data.forecast,
+    )
+
+    with pool.connection() as conn:
+        with conn.cursor() as cursor:
+            cursor.execute(
+                """
+                INSERT INTO weather_data
+                    (datetime, temperature, temp_in, humidity, humidity_in,
+                     pressure, bar_trend, wind_speed, wind_gust, wind_dir,
+                     rain, rain_rate, forecast)
+                VALUES (%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,
+                    humidity    = EXCLUDED.humidity,
+                    humidity_in = EXCLUDED.humidity_in,
+                    pressure    = EXCLUDED.pressure,
+                    bar_trend   = EXCLUDED.bar_trend,
+                    wind_speed  = EXCLUDED.wind_speed,
+                    wind_gust   = EXCLUDED.wind_gust,
+                    wind_dir    = EXCLUDED.wind_dir,
+                    rain        = EXCLUDED.rain,
+                    rain_rate   = EXCLUDED.rain_rate,
+                    forecast    = EXCLUDED.forecast
+                """,
+                values,
+            )
+        conn.commit()
+
+    logger.info("Datenpunkt gespeichert fuer %s", dt_string)
+    return {"status": "success", "datetime": dt_string}
+
+
+@app.post("/weather", dependencies=[Depends(require_api_key)])
+@limiter.limit(RATE_LIMIT)
+async def receive_weather_data(request: Request, data: WeatherDataInput):
+    """Wetterdaten empfangen und speichern (Auth + Rate-Limit)."""
+    try:
+        return _store_weather(data)
+    except ValueError as e:
+        # Konvertierungs-Fehler (z.B. fehlender Zeitstempel)
+        logger.warning("Bad request on /weather: %s", e)
+        raise HTTPException(
+            status_code=status.HTTP_400_BAD_REQUEST,
+            detail="Invalid input",
+        )
+    except psycopg.Error:
+        logger.exception("DB-Fehler beim Speichern")
+        raise HTTPException(
+            status_code=status.HTTP_503_SERVICE_UNAVAILABLE,
+            detail="Storage unavailable",
+        )
+
+
+@app.post("/", dependencies=[Depends(require_api_key)])
+@limiter.limit(RATE_LIMIT)
+async def root_post(request: Request):
+    """Alias fuer POST /weather (Auth + Rate-Limit)."""
+    body = await request.body()
+    if len(body) > MAX_BODY_BYTES:
+        raise HTTPException(
+            status_code=status.HTTP_413_REQUEST_ENTITY_TOO_LARGE,
+            detail="Payload too large",
+        )
+    try:
+        data_dict = json.loads(body.decode("utf-8"))
+    except (UnicodeDecodeError, json.JSONDecodeError):
+        raise HTTPException(
+            status_code=status.HTTP_400_BAD_REQUEST,
+            detail="Invalid JSON",
+        )
+
+    try:
+        data = WeatherDataInput(**data_dict)
+    except Exception:
+        # Pydantic-Fehler enthalten ggf. Werte aus dem Body — nicht durchreichen.
+        logger.warning("Validation failed on POST /")
+        raise HTTPException(
+            status_code=status.HTTP_422_UNPROCESSABLE_ENTITY,
+            detail="Validation error",
+        )
+
+    try:
+        return _store_weather(data)
+    except ValueError:
+        raise HTTPException(
+            status_code=status.HTTP_400_BAD_REQUEST,
+            detail="Invalid input",
+        )
+    except psycopg.Error:
+        logger.exception("DB-Fehler beim Speichern")
+        raise HTTPException(
+            status_code=status.HTTP_503_SERVICE_UNAVAILABLE,
+            detail="Storage unavailable",
+        )
+
+
+# Debug-Endpunkt nur in DEV-Modus + nur mit API-Key
+if IS_DEV:
+    @app.post("/debug", dependencies=[Depends(require_api_key)])
+    async def debug_post(request: Request):
+        body = await request.body()
+        if len(body) > MAX_BODY_BYTES:
+            raise HTTPException(
+                status_code=status.HTTP_413_REQUEST_ENTITY_TOO_LARGE,
+                detail="Payload too large",
+            )
+        try:
+            payload = json.loads(body.decode("utf-8"))
+        except Exception:
+            raise HTTPException(status_code=400, detail="Invalid JSON")
+        logger.debug("Debug payload: %s", payload)
+        return {"status": "logged"}
+
+
+# --------------------------------------------------------------------------- #
+# Entry-Point
+# --------------------------------------------------------------------------- #
+
+def main() -> None:
+    uvicorn.run(
+        app,
+        host="0.0.0.0",
+        port=COLLECTOR_PORT,
+        # In Produktion liegt Traefik davor und terminiert TLS.
+        # X-Forwarded-* nur dann auswerten, wenn man dem Proxy vertraut.
+        proxy_headers=True,
+        forwarded_allow_ips="*",
+    )
 
 
 if __name__ == "__main__":
-    main()
-
+    main()

collector/main.py_old

@@ -0,0 +1,364 @@
+# HTTP API that receives weather data via POST and stores in PostgreSQL
+
+import os
+import json
+import logging
+from datetime import datetime
+from pathlib import Path
+from dotenv import load_dotenv
+from fastapi import FastAPI, HTTPException, Request
+from pydantic import BaseModel
+import psycopg2
+from psycopg2.extras import RealDictCursor
+import uvicorn
+
+# Logging konfigurieren
+logging.basicConfig(
+    level=logging.INFO,
+    format='%(asctime)s - %(levelname)s - %(message)s'
+)
+logger = logging.getLogger(__name__)
+
+# Umgebungsvariablen laden - eine Ebene höher
+env_path = Path(__file__).parent.parent / '.env'
+load_dotenv(dotenv_path=env_path)
+
+# Konfiguration
+COLLECTOR_PORT = int(os.getenv('COLLECTOR_PORT', 8001))
+
+DB_HOST = os.getenv('DB_HOST', 'localhost')
+DB_PORT = int(os.getenv('DB_PORT', 5432))
+DB_NAME = os.getenv('DB_NAME', 'wetterstation')
+DB_USER = os.getenv('DB_USER')
+DB_PASSWORD = os.getenv('DB_PASSWORD')
+
+# FastAPI App
+app = FastAPI(title="Weather Data Collector API")
+
+
+# Pydantic Models
+class WeatherDataInput(BaseModel):
+    # Zeitstempel: ISO-String (time), datetime-String oder Unix-Timestamp
+    time: str | None = None
+    datetime: str | None = None
+    dateTime: int | None = None
+
+    # Außentemperatur (Celsius): tempOut, temperature oder outTemp (Fahrenheit)
+    tempOut: float | None = None   # Celsius (neues Format)
+    temperature: float | None = None
+    outTemp: float | None = None   # Fahrenheit (altes Format)
+
+    # Innentemperatur
+    tempIn: float | None = None    # Celsius
+
+    # Außenfeuchte
+    humOut: int | None = None
+    humidity: int | None = None
+    outHumidity: float | None = None
+
+    # Innenfeuchte
+    humIn: int | None = None
+
+    # Luftdruck
+    pressure: float | None = None
+    barometer: float | None = None  # inHg
+    barTrend: int | None = None     # hPa/Stunde
+
+    # Wind
+    windAvg: float | None = None   # m/s Durchschnitt (neues Format)
+    windSpeed: float | None = None
+    wind_speed: float | None = None
+    windGust: float | None = None
+    wind_gust: float | None = None
+    windDir: float | None = None
+    wind_dir: float | None = None
+
+    # Niederschlag
+    rain: float | None = None
+    rainRate: float | None = None
+    rain_rate: float | None = None
+
+    # Vorhersage
+    forecast: int | None = None
+
+    model_config = {"extra": "allow"}
+
+    def get_datetime_string(self) -> str:
+        """Zeitstempel als String zurückgeben"""
+        if self.time:
+            return self.time
+        elif self.datetime:
+            return self.datetime
+        elif self.dateTime:
+            from datetime import datetime as dt
+            return dt.fromtimestamp(self.dateTime).strftime('%Y-%m-%d %H:%M:%S')
+        raise ValueError("Kein Zeitstempel vorhanden (time, datetime oder dateTime)")
+
+    def get_temperature_celsius(self) -> float | None:
+        """Außentemperatur in Celsius"""
+        if self.tempOut is not None:
+            return self.tempOut
+        elif self.temperature is not None:
+            return self.temperature
+        elif self.outTemp is not None:
+            return (self.outTemp - 32) * 5 / 9
+        return None
+
+    def get_temp_in(self) -> float | None:
+        """Innentemperatur in Celsius"""
+        return self.tempIn
+
+    def get_humidity_int(self) -> int | None:
+        """Außenfeuchte"""
+        if self.humOut is not None:
+            return int(self.humOut)
+        elif self.humidity is not None:
+            return int(self.humidity)
+        elif self.outHumidity is not None:
+            return int(self.outHumidity)
+        return None
+
+    def get_humidity_in(self) -> int | None:
+        """Innenfeuchte"""
+        return int(self.humIn) if self.humIn is not None else None
+
+    def get_pressure_hpa(self) -> float | None:
+        """Luftdruck in hPa"""
+        if self.pressure is not None:
+            return self.pressure
+        elif self.barometer is not None:
+            return self.barometer * 33.8639
+        return None
+
+    def get_wind_speed(self) -> float | None:
+        """Durchschnittliche Windgeschwindigkeit"""
+        if self.windAvg is not None:
+            return self.windAvg
+        elif self.windSpeed is not None:
+            return self.windSpeed
+        return self.wind_speed
+
+    def get_wind_gust(self) -> float | None:
+        """Windböe"""
+        return self.windGust if self.windGust is not None else self.wind_gust
+
+    def get_wind_dir(self) -> float | None:
+        """Windrichtung"""
+        return self.windDir if self.windDir is not None else self.wind_dir
+
+    def get_rain_rate(self) -> float | None:
+        """Regenrate"""
+        return self.rainRate if self.rainRate is not None else self.rain_rate
+
+
+# Datenbankverbindung
+def get_db_connection():
+    """Datenbankverbindung herstellen"""
+    try:
+        conn = psycopg2.connect(
+            host=DB_HOST,
+            port=DB_PORT,
+            database=DB_NAME,
+            user=DB_USER,
+            password=DB_PASSWORD
+        )
+        return conn
+    except Exception as e:
+        logger.error(f"Datenbankverbindungsfehler: {e}")
+        raise HTTPException(status_code=500, detail="Datenbankverbindung fehlgeschlagen")
+
+
+def setup_database():
+    """Tabelle erstellen und fehlende Spalten ergänzen"""
+    try:
+        conn = get_db_connection()
+        with conn.cursor() as cursor:
+            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,
+                    received_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
+                    UNIQUE(datetime)
+                )
+            """)
+            # Neue Spalten ergänzen (idempotent)
+            cursor.execute("ALTER TABLE weather_data ADD COLUMN IF NOT EXISTS temp_in FLOAT")
+            cursor.execute("ALTER TABLE weather_data ADD COLUMN IF NOT EXISTS humidity_in INTEGER")
+            cursor.execute("ALTER TABLE weather_data ADD COLUMN IF NOT EXISTS forecast INTEGER")
+            cursor.execute("ALTER TABLE weather_data ADD COLUMN IF NOT EXISTS bar_trend INTEGER")
+            conn.commit()
+            logger.info("Tabelle weather_data bereit (inkl. neuer Spalten)")
+        conn.close()
+    except Exception as e:
+        logger.error(f"Fehler bei Datenbanksetup: {e}")
+        raise
+
+
+# API Endpoints
+@app.on_event("startup")
+async def startup_event():
+    """Bei Start die Datenbank initialisieren"""
+    logger.info("Collector API startet...")
+    setup_database()
+    logger.info(f"API läuft auf Port {COLLECTOR_PORT}")
+
+
+@app.get("/")
+async def root():
+    """Root Endpoint - GET zeigt Info"""
+    return {
+        "message": "Weather Data Collector API",
+        "version": "1.0.0",
+        "endpoint": "POST /weather or POST /"
+    }
+
+
+@app.post("/")
+async def root_post(request: Request):
+    """Root Endpoint - POST akzeptiert Wetterdaten (Alias für /weather)"""
+    try:
+        # Rohen Body lesen
+        body = await request.body()
+        body_str = body.decode('utf-8')
+        logger.info(f"POST auf Root - Raw Body: {body_str}")
+        
+        # Als JSON parsen
+        data_dict = json.loads(body_str)
+        logger.info(f"POST auf Root - Parsed JSON: {data_dict}")
+        
+        # Zu Pydantic Model konvertieren
+        data = WeatherDataInput(**data_dict)
+        return await receive_weather_data(data)
+    except json.JSONDecodeError as e:
+        logger.error(f"JSON Parse Error: {e}")
+        raise HTTPException(status_code=400, detail=f"Invalid JSON: {str(e)}")
+    except Exception as e:
+        logger.error(f"Fehler bei Root POST: {e}")
+        raise HTTPException(status_code=422, detail=f"Validation error: {str(e)}")
+
+
+@app.post("/debug")
+async def debug_post(request: dict):
+    """Debug Endpoint - akzeptiert beliebige JSON und loggt sie"""
+    logger.info(f"Debug: Empfangene Rohdaten: {request}")
+    return {"status": "logged", "data": request}
+
+
+@app.get("/health")
+async def health_check():
+    """Health Check"""
+    try:
+        conn = get_db_connection()
+        with conn.cursor() as cursor:
+            cursor.execute("SELECT 1")
+        conn.close()
+        return {"status": "healthy", "database": "connected"}
+    except Exception as e:
+        raise HTTPException(status_code=503, detail=f"Database error: {str(e)}")
+
+
+@app.post("/weather")
+async def receive_weather_data(data: WeatherDataInput):
+    """Wetterdaten empfangen und speichern"""
+    logger.info(f"Empfangene Daten: {data.model_dump()}")
+    try:
+        conn = get_db_connection()
+        try:
+            # Konvertiere zu den richtigen Werten
+            dt_string = data.get_datetime_string()
+            temp_c = data.get_temperature_celsius()
+            temp_in = data.get_temp_in()
+            humidity = data.get_humidity_int()
+            humidity_in = data.get_humidity_in()
+            pressure = data.get_pressure_hpa()
+            bar_trend = data.barTrend
+            wind_speed = data.get_wind_speed()
+            wind_gust = data.get_wind_gust()
+            wind_dir = data.get_wind_dir()
+            rain = data.rain
+            rain_rate = data.get_rain_rate()
+            forecast = data.forecast
+
+            logger.info(
+                f"Konvertierte Daten - datetime: {dt_string}, "
+                f"tempOut: {temp_c}°C, tempIn: {temp_in}°C, "
+                f"humOut: {humidity}%, humIn: {humidity_in}%, "
+                f"pressure: {pressure} hPa, barTrend: {bar_trend}"
+            )
+
+            with conn.cursor() as cursor:
+                cursor.execute("""
+                    INSERT INTO weather_data
+                    (datetime, temperature, temp_in, humidity, humidity_in,
+                     pressure, bar_trend, wind_speed, wind_gust, wind_dir,
+                     rain, rain_rate, forecast)
+                    VALUES (%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,
+                        humidity = EXCLUDED.humidity,
+                        humidity_in = EXCLUDED.humidity_in,
+                        pressure = EXCLUDED.pressure,
+                        bar_trend = EXCLUDED.bar_trend,
+                        wind_speed = EXCLUDED.wind_speed,
+                        wind_gust = EXCLUDED.wind_gust,
+                        wind_dir = EXCLUDED.wind_dir,
+                        rain = EXCLUDED.rain,
+                        rain_rate = EXCLUDED.rain_rate,
+                        forecast = EXCLUDED.forecast
+                """, (
+                    dt_string,
+                    temp_c,
+                    temp_in,
+                    humidity,
+                    humidity_in,
+                    pressure,
+                    bar_trend,
+                    wind_speed,
+                    wind_gust,
+                    wind_dir,
+                    rain,
+                    rain_rate,
+                    forecast
+                ))
+                conn.commit()
+                logger.info(f"Daten gespeichert für {dt_string} (UTC)")
+            
+            return {
+                "status": "success",
+                "message": f"Weather data for {dt_string} saved successfully"
+            }
+        finally:
+            conn.close()
+            
+    except Exception as e:
+        logger.error(f"Fehler beim Speichern: {e}")
+        raise HTTPException(status_code=500, detail=f"Database error: {str(e)}")
+
+
+def main():
+    """Hauptfunktion"""
+    # Prüfen ob alle nötigen Umgebungsvariablen gesetzt sind
+    required_vars = ['DB_USER', 'DB_PASSWORD']
+    missing_vars = [var for var in required_vars if not os.getenv(var)]
+    
+    if missing_vars:
+        logger.error(f"Fehlende Umgebungsvariablen: {', '.join(missing_vars)}")
+        logger.error("Bitte .env Datei mit den erforderlichen Werten erstellen")
+        return
+    
+    uvicorn.run(app, host="0.0.0.0", port=COLLECTOR_PORT)
+
+
+
+if __name__ == "__main__":
+    main()
+

collector/requirements.txt

@@ -1,4 +1,6 @@
 fastapi==0.115.5
-uvicorn==0.34.0
-psycopg2-binary==2.9.10
-python-dotenv==1.0.0
+uvicorn[standard]==0.34.0
+psycopg[binary]==3.2.3
+psycopg_pool==3.2.4
+python-dotenv==1.0.1
+slowapi==0.1.9

frontend/nginx.conf

@@ -1,41 +1,130 @@
+# Nginx-Konfiguration fuer das Frontend (Container).
+# TLS wird von Traefik vorne dran terminiert; dieser Server lauscht nur auf HTTP intern.
+
+# Nginx-Version aus Headern und Fehlerseiten raus
+server_tokens off;
+
 server {
     listen 80;
     server_name localhost;
     root /usr/share/nginx/html;
     index index.html;
 
-    # Docker DNS resolver für dynamische Service-Auflösung
+    # Body-Limit (Frontend braucht keine grossen POSTs)
+    client_max_body_size 1m;
+
+    # Docker DNS resolver fuer dynamische Service-Aufloesung
     resolver 127.0.0.11 valid=30s;
     resolver_timeout 5s;
 
-    # Gzip compression
+    # Gzip
     gzip on;
     gzip_vary on;
     gzip_min_length 1024;
-    gzip_types text/plain text/css text/xml text/javascript application/x-javascript application/xml+rss application/json;
+    gzip_types
+        text/plain
+        text/css
+        text/xml
+        text/javascript
+        application/x-javascript
+        application/xml+rss
+        application/json;
 
-    # API proxy (wird im Docker-Compose-Netzwerk aufgelöst)
+    # ----------------------------------------------------------------- #
+    # Security-Header — gelten fuer alle Antworten dieses Servers.
+    # 'always' sorgt dafuer, dass sie auch bei 4xx/5xx ausgeliefert werden.
+    # ----------------------------------------------------------------- #
+
+    # HSTS: ein Jahr, inkl. Subdomains. Wenn die Domain noch nicht zu 100%
+    # auf HTTPS laeuft, kann der Wert auf "max-age=300" reduziert werden,
+    # bis sicher ist, dass nichts mehr ueber HTTP geht. preload weglassen,
+    # solange die Domain nicht in der Preload-Liste eingetragen werden soll.
+    add_header Strict-Transport-Security "max-age=31536000; includeSubDomains" always;
+
+    # MIME-Sniffing aus
+    add_header X-Content-Type-Options "nosniff" always;
+
+    # Clickjacking-Schutz: keine Einbettung als iframe
+
+    # Referrer nur an gleiche Origin senden
+    add_header Referrer-Policy "strict-origin-when-cross-origin" always;
+
+    # Browser-APIs deaktivieren, die das Frontend nicht benoetigt
+    add_header Permissions-Policy "camera=(), microphone=(), geolocation=(), payment=(), usb=(), magnetometer=(), gyroscope=(), accelerometer=()" always;
+
+    # Content Security Policy — strict, keine externen Quellen
+    # 'unsafe-inline' fuer style-src ist noetig, weil Highcharts inline-styles
+    # fuer dynamische Diagramme setzt. script-src bleibt strikt.
+    # TODO: http://test.sternwarte-welzheim.de entfernen, sobald der Test-Server
+    #       auf HTTPS umgestellt ist. Drei Stellen: server-Block + zwei locations.
+    add_header Content-Security-Policy "default-src 'self'; script-src 'self'; style-src 'self' 'unsafe-inline'; img-src 'self' data:; font-src 'self' data:; connect-src 'self'; frame-ancestors 'self' https://sternwarte-welzheim.de https://www.sternwarte-welzheim.de https://test.sternwarte-welzheim.de http://test.sternwarte-welzheim.de; base-uri 'self'; form-action 'self'; object-src 'none'" always;
+
+    # ----------------------------------------------------------------- #
+    # API-Proxy
+    # ----------------------------------------------------------------- #
     location /api/ {
         set $upstream_api api:8000;
         proxy_pass http://$upstream_api/;
         proxy_http_version 1.1;
-        proxy_set_header Upgrade $http_upgrade;
-        proxy_set_header Connection 'upgrade';
+
+        # Standard-Header
         proxy_set_header Host $host;
-        proxy_cache_bypass $http_upgrade;
         proxy_set_header X-Real-IP $remote_addr;
         proxy_set_header X-Forwarded-For $proxy_add_x_forwarded_for;
         proxy_set_header X-Forwarded-Proto $scheme;
+
+        # Timeouts: lieber sichtbar fehlschlagen als ewig haengen
+        proxy_connect_timeout 5s;
+        proxy_send_timeout    15s;
+        proxy_read_timeout    15s;
+
+        # Wenn das Upstream tot ist, sofort 502 statt Retry-Loops
+        proxy_next_upstream off;
+
+        # WebSockets/Upgrade-Pfad behalten, falls spaeter noch gebraucht
+        proxy_set_header Upgrade $http_upgrade;
+        proxy_set_header Connection $http_connection;
     }
 
-    # Frontend routes
-    location / {
-        try_files $uri $uri/ /index.html;
-    }
-
-    # Cache static assets
+    # ----------------------------------------------------------------- #
+    # Statische Assets — lange Cache-Zeit, da mit Hash im Dateinamen
+    # ----------------------------------------------------------------- #
     location ~* \.(js|css|png|jpg|jpeg|gif|ico|svg|woff|woff2|ttf|eot)$ {
         expires 1y;
-        add_header Cache-Control "public, immutable";
+        add_header Cache-Control "public, immutable" always;
+
+        # nginx-Quirk: sobald ein add_header in einem location-Block steht,
+        # werden ALLE add_header der server-Ebene ignoriert. Daher hier
+        # alle Security-Header noch einmal explizit.
+        add_header Strict-Transport-Security "max-age=31536000; includeSubDomains" always;
+        add_header X-Content-Type-Options "nosniff" always;
+        add_header Referrer-Policy "strict-origin-when-cross-origin" always;
+        add_header Permissions-Policy "camera=(), microphone=(), geolocation=(), payment=(), usb=(), magnetometer=(), gyroscope=(), accelerometer=()" always;
+        add_header Content-Security-Policy "default-src 'self'; script-src 'self'; style-src 'self' 'unsafe-inline'; img-src 'self' data:; font-src 'self' data:; connect-src 'self'; frame-ancestors 'self' https://sternwarte-welzheim.de https://www.sternwarte-welzheim.de https://test.sternwarte-welzheim.de http://test.sternwarte-welzheim.de; base-uri 'self'; form-action 'self'; object-src 'none'" always;
     }
-}
+
+    # ----------------------------------------------------------------- #
+    # Frontend-Routing (SPA)
+    # ----------------------------------------------------------------- #
+    location / {
+        try_files $uri $uri/ /index.html;
+
+        # index.html selbst nicht aggressiv cachen, sonst sehen Nutzer
+        # nach einem Deploy alte Asset-Hashes
+        add_header Cache-Control "no-cache" always;
+
+        # Security-Header hier nochmal explizit (nginx-Quirk, s.o.)
+        add_header Strict-Transport-Security "max-age=31536000; includeSubDomains" always;
+        add_header X-Content-Type-Options "nosniff" always;
+        add_header Referrer-Policy "strict-origin-when-cross-origin" always;
+        add_header Permissions-Policy "camera=(), microphone=(), geolocation=(), payment=(), usb=(), magnetometer=(), gyroscope=(), accelerometer=()" always;
+        add_header Content-Security-Policy "default-src 'self'; script-src 'self'; style-src 'self' 'unsafe-inline'; img-src 'self' data:; font-src 'self' data:; connect-src 'self'; frame-ancestors 'self' https://sternwarte-welzheim.de https://www.sternwarte-welzheim.de https://test.sternwarte-welzheim.de http://test.sternwarte-welzheim.de; base-uri 'self'; form-action 'self'; object-src 'none'" always;
+    }
+
+    # Versteckte/Punktdateien blocken (z.B. .env, .git versehentlich im Build)
+    location ~ /\. {
+        deny all;
+        access_log off;
+        log_not_found off;
+    }
+}

frontend/package.json

@@ -1,7 +1,7 @@
 {
   "name": "wetterstation-frontend",
   "private": true,
-  "version": "1.2.0",
+  "version": "1.4.0",
   "type": "module",
   "scripts": {
     "dev": "vite",

frontend/src/App.jsx

@@ -1,102 +1,164 @@
-import { useState, useEffect } from 'react'
+import { useState, useEffect, useRef } from 'react'
 import WeatherDashboard from './components/WeatherDashboard'
 import './App.css'
 
+// API-Basis-URL: in Dev direkt auf Backend, in Prod ueber Nginx-Proxy
+const API_BASE = import.meta.env.DEV ? 'http://localhost:8000' : '/api'
+
+// 24-Stunden-URL fuer "Aktuell"-Anzeige (auch bei laengeren Zeitraeumen gebraucht)
+const CURRENT_URL = `${API_BASE}/weather/history?hours=24&limit=5000`
+
+// JSON-Fetch-Helfer: liefert {ok, data} oder wirft bei Netzfehler.
+// Per signal kann der Request abgebrochen werden, wenn timeRange wechselt.
+async function fetchJson(url, signal) {
+  const res = await fetch(url, { signal })
+  if (!res.ok) throw new Error(`HTTP ${res.status} bei ${url}`)
+  return res.json()
+}
+
+// Bestimmt die URLs fuer den gewaehlten Zeitbereich.
+// Returns: { weatherUrl, rainUrl, needsCurrent }
+function buildUrls(timeRange) {
+  // Custom-Range
+  if (typeof timeRange === 'object' && timeRange.type === 'custom') {
+    const start = encodeURIComponent(timeRange.start)
+    const end   = encodeURIComponent(timeRange.end)
+    const days  = timeRange.days || 1
+    const path = days >= 7 ? 'daily-aggregated-range' : 'hourly-aggregated-range'
+    return {
+      weatherUrl:   `${API_BASE}/weather/${path}?start=${start}&end=${end}`,
+      rainUrl:      null,    // TODO: Regen-Aggregation fuer Range implementieren
+      needsCurrent: true,
+    }
+  }
+
+  switch (timeRange) {
+    case '24h':
+      return {
+        weatherUrl:   `${API_BASE}/weather/history?hours=24&limit=5000`,
+        rainUrl:      null,
+        needsCurrent: false,  // Hauptdaten SIND die aktuellen 24h-Daten
+      }
+    case '7d':
+      return {
+        weatherUrl:   `${API_BASE}/weather/daily-with-minmax?days=7`,
+        rainUrl:      `${API_BASE}/weather/rain-daily?days=7`,
+        needsCurrent: true,
+      }
+    case '30d':
+      return {
+        weatherUrl:   `${API_BASE}/weather/daily-with-minmax?days=30`,
+        rainUrl:      `${API_BASE}/weather/rain-daily?days=30`,
+        needsCurrent: true,
+      }
+    case '365d':
+      return {
+        weatherUrl:   `${API_BASE}/weather/daily-aggregated?days=365`,
+        rainUrl:      `${API_BASE}/weather/rain-weekly?days=365`,
+        needsCurrent: true,
+      }
+    default:
+      return {
+        weatherUrl:   `${API_BASE}/weather/history?hours=24`,
+        rainUrl:      null,
+        needsCurrent: false,
+      }
+  }
+}
+
 function App() {
   const [weatherData, setWeatherData] = useState([])
-  const [currentWeatherData, setCurrentWeatherData] = useState([]) // Immer die aktuellen 24h-Werte
+  const [currentWeatherData, setCurrentWeatherData] = useState([])
   const [rainData, setRainData] = useState([])
   const [loading, setLoading] = useState(true)
   const [error, setError] = useState(null)
   const [lastUpdate, setLastUpdate] = useState(null)
-  const [timeRange, setTimeRange] = useState('24h') // '24h', '7d', '30d', '365d'
+  const [timeRange, setTimeRange] = useState('24h')
+  const [showTable, setShowTable] = useState(false)
+
+  // Erster-Lade-Flag: nur beim allerersten Fetch zeigen wir den Spinner.
+  // Bei spaeteren Re-Fetches (Auto-Refresh, Time-Range-Wechsel) bleiben die
+  // alten Daten sichtbar, bis die neuen da sind — flackert weniger.
+  const isInitialLoadRef = useRef(true)
+
+  const handleTimeRangeChange = (range, customParams) => {
+    if (range === 'custom' && customParams) {
+      const start = new Date(customParams.start)
+      const end   = new Date(customParams.end)
+      const days  = Math.ceil((end - start) / (1000 * 60 * 60 * 24))
+      setTimeRange({ type: 'custom', start: customParams.start, end: customParams.end, days })
+    } else {
+      setTimeRange(range)
+    }
+  }
 
   useEffect(() => {
-    const fetchData = async () => {
-      try {
-        setLoading(true)
-        
-        // Prüfe ob eingebettete Daten vorhanden sind (statischer Build)
-        if (window.__WEATHER_DATA__ && timeRange === '24h') {
-          setWeatherData(window.__WEATHER_DATA__)
-          setCurrentWeatherData(window.__WEATHER_DATA__)
-          setRainData([])
-          setLastUpdate(new Date())
-          setLoading(false)
-          return
-        }
-        
-        // API-URLs basierend auf Zeitraum
-        let weatherUrl, rainUrl
-        const baseUrl = import.meta.env.DEV ? 'http://localhost:8000' : '/api'
-        
-        switch (timeRange) {
-          case '24h':
-            weatherUrl = `${baseUrl}/weather/history?hours=24`
-            rainUrl = null
-            break
-          case '7d':
-            weatherUrl = `${baseUrl}/weather/hourly-aggregated?days=7`
-            rainUrl = `${baseUrl}/weather/rain-daily?days=7`
-            break
-          case '30d':
-            weatherUrl = `${baseUrl}/weather/daily-with-minmax?days=30`
-            rainUrl = `${baseUrl}/weather/rain-daily?days=30`
-            break
-          case '365d':
-            weatherUrl = `${baseUrl}/weather/daily-aggregated?days=365`
-            rainUrl = `${baseUrl}/weather/rain-weekly?days=365`
-            break
-          default:
-            weatherUrl = `${baseUrl}/weather/history?hours=24`
-            rainUrl = null
-        }
-        
-        // Wetterdaten laden
-        const weatherResponse = await fetch(weatherUrl)
-        if (!weatherResponse.ok) {
-          throw new Error('API-Fehler: ' + weatherResponse.status)
-        }
-        const weatherDataResult = await weatherResponse.json()
-        setWeatherData(weatherDataResult)
-        
-        // Immer die aktuellen 24h-Daten für "Aktuell"-Anzeige laden
-        if (timeRange !== '24h') {
-          const currentUrl = `${baseUrl}/weather/history?hours=24`
-          const currentResponse = await fetch(currentUrl)
-          if (currentResponse.ok) {
-            const currentDataResult = await currentResponse.json()
-            setCurrentWeatherData(currentDataResult)
-          }
-        } else {
-          setCurrentWeatherData(weatherDataResult)
-        }
-        
-        // Regendaten laden (falls separater Endpunkt)
-        if (rainUrl) {
-          const rainResponse = await fetch(rainUrl)
-          if (rainResponse.ok) {
-            const rainDataResult = await rainResponse.json()
-            setRainData(rainDataResult)
-          }
-        } else {
-          setRainData([])
-        }
-        
-        setLastUpdate(new Date())
-        setLoading(false)
-      } catch (err) {
-        setError(err.message)
-        setLoading(false)
-      }
+    // Statische Daten: kein Fetch noetig
+    if (window.__WEATHER_DATA__ && timeRange === '24h') {
+      setWeatherData(window.__WEATHER_DATA__)
+      setCurrentWeatherData(window.__WEATHER_DATA__)
+      setRainData([])
+      setLastUpdate(new Date())
+      setLoading(false)
+      return
     }
-    
+
+    const controller = new AbortController()
+
+    const fetchData = async () => {
+      if (isInitialLoadRef.current) setLoading(true)
+
+      const { weatherUrl, rainUrl, needsCurrent } = buildUrls(timeRange)
+
+      // Alle drei Requests parallel starten (statt sequentiell wie vorher).
+      // allSettled, damit ein Fehler bei rain/current die Hauptdaten nicht blockiert.
+      const requests = [
+        fetchJson(weatherUrl, controller.signal),                       // [0] weather - Pflicht
+        needsCurrent ? fetchJson(CURRENT_URL, controller.signal) : null, // [1] current  - optional
+        rainUrl     ? fetchJson(rainUrl, controller.signal)     : null, // [2] rain     - optional
+      ]
+      const results = await Promise.allSettled(requests.map(p => p ?? Promise.resolve(null)))
+
+      // AbortError ignorieren — passiert, wenn timeRange waehrend des Requests
+      // gewechselt hat. Der nachfolgende Effekt-Lauf macht den richtigen Fetch.
+      const aborted = results.some(
+        r => r.status === 'rejected' && r.reason?.name === 'AbortError'
+      )
+      if (aborted) return
+
+      // Hauptdaten-Fehler ist fatal; ohne die zeigen wir nichts an.
+      if (results[0].status === 'rejected') {
+        setError(results[0].reason?.message || 'Unbekannter Fehler')
+        setLoading(false)
+        isInitialLoadRef.current = false
+        return
+      }
+
+      const weatherResult = results[0].value
+      const currentResult = results[1].status === 'fulfilled' ? results[1].value : null
+      const rainResult    = results[2].status === 'fulfilled' ? results[2].value : null
+
+      setError(null)
+      setWeatherData(weatherResult)
+      // Wenn 24h gewaehlt ist, sind weather und current dieselben Daten
+      setCurrentWeatherData(needsCurrent ? (currentResult ?? []) : weatherResult)
+      setRainData(rainResult ?? [])
+      setLastUpdate(new Date())
+      setLoading(false)
+      isInitialLoadRef.current = false
+    }
+
     fetchData()
-    
-    // Automatisches Update alle 5 Minuten (nur für 24h und ohne statische Daten)
+
+    // Auto-Refresh nur bei 24h, nur wenn keine statischen Daten
+    let interval = null
     if (!window.__WEATHER_DATA__ && timeRange === '24h') {
-      const interval = setInterval(fetchData, 5 * 60 * 1000)
-      return () => clearInterval(interval)
+      interval = setInterval(fetchData, 5 * 60 * 1000)
+    }
+
+    return () => {
+      controller.abort()
+      if (interval) clearInterval(interval)
     }
   }, [timeRange])
 
@@ -120,19 +182,19 @@ function App() {
 
   // Aktuelle Zeit formatieren
   const now = new Date()
-  const dateStr = now.toLocaleDateString('de-DE', { 
-    weekday: 'long', 
-    year: 'numeric', 
-    month: 'long', 
-    day: 'numeric' 
+  const dateStr = now.toLocaleDateString('de-DE', {
+    weekday: 'long',
+    year: 'numeric',
+    month: 'long',
+    day: 'numeric'
   })
-  const timeStr = now.toLocaleTimeString('de-DE', { 
-    hour: '2-digit', 
-    minute: '2-digit' 
+  const timeStr = now.toLocaleTimeString('de-DE', {
+    hour: '2-digit',
+    minute: '2-digit'
   })
 
   // TODO: Sonnenauf-/untergang und Mondphase berechnen
-  // Aktuell Platzhalter - benötigt Bibliothek wie 'suncalc'
+  // Aktuell Platzhalter - benoetigt Bibliothek wie 'suncalc'
   const sunrise = "06:45"
   const sunset = "18:30"
   const moonPhase = "abnehmend 50%"
@@ -148,14 +210,16 @@ function App() {
           Sonnen-Aufgang: {sunrise} - Untergang: {sunset}    Mond-Phase: {moonPhase}
         </div>
       </header>
-      
+
       <main className="app-main">
-        <WeatherDashboard 
-          data={weatherData} 
+        <WeatherDashboard
+          data={weatherData}
           currentData={currentWeatherData}
           rainData={rainData}
           timeRange={timeRange}
-          onTimeRangeChange={setTimeRange}
+          onTimeRangeChange={handleTimeRangeChange}
+          showTable={showTable}
+          onToggleTable={() => setShowTable(v => !v)}
         />
       </main>
     </div>

frontend/src/App.jsx_org

@@ -1,107 +0,0 @@
-import { useState, useEffect } from 'react'
-import WeatherDashboard from './components/WeatherDashboard'
-import './App.css'
-
-function App() {
-  const [weatherData, setWeatherData] = useState([])
-  const [loading, setLoading] = useState(true)
-  const [error, setError] = useState(null)
-  const [lastUpdate, setLastUpdate] = useState(null)
-
-  const fetchWeatherData = async () => {
-    try {
-      const apiUrl = import.meta.env.VITE_API_URL || '/api'
-      const response = await fetch(`${apiUrl}/weather/history?hours=24`)
-      
-      if (!response.ok) {
-        throw new Error('Fehler beim Laden der Daten')
-      }
-      
-      const data = await response.json()
-      setWeatherData(data)
-      setLastUpdate(new Date())
-      setError(null)
-    } catch (err) {
-      setError(err.message)
-      console.error('Fehler beim Laden der Wetterdaten:', err)
-    } finally {
-      setLoading(false)
-    }
-  }
-
-  useEffect(() => {
-    fetchWeatherData()
-    
-    // Berechne Zeit bis zum nächsten 5-Min-Schritt + 1 Minute
-    const scheduleNextRefresh = () => {
-      const now = new Date()
-      const minutes = now.getMinutes()
-      const seconds = now.getSeconds()
-      const milliseconds = now.getMilliseconds()
-      
-      // Nächster 5-Minuten-Schritt
-      const nextFiveMinStep = Math.ceil(minutes / 5) * 5
-      // Plus 1 Minute
-      const targetMinute = (nextFiveMinStep + 1) % 60
-      
-      let targetTime = new Date(now)
-      targetTime.setMinutes(targetMinute, 0, 0)
-      
-      // Wenn die Zielzeit in der Vergangenheit liegt, füge eine Stunde hinzu
-      if (targetTime <= now) {
-        targetTime.setHours(targetTime.getHours() + 1)
-      }
-      
-      const timeUntilRefresh = targetTime - now
-      
-      console.log(`Nächster Refresh: ${targetTime.toLocaleTimeString('de-DE')} (in ${Math.round(timeUntilRefresh / 1000)}s)`)
-      
-      return setTimeout(() => {
-        fetchWeatherData()
-        scheduleNextRefresh()
-      }, timeUntilRefresh)
-    }
-    
-    const timeout = scheduleNextRefresh()
-    
-    return () => clearTimeout(timeout)
-  }, [])
-
-  if (loading) {
-    return (
-      <div className="loading-container">
-        <div className="loading-spinner"></div>
-        <p>Lade Wetterdaten...</p>
-      </div>
-    )
-  }
-
-  if (error) {
-    return (
-      <div className="error-container">
-        <h2>Fehler beim Laden der Daten</h2>
-        <p>{error}</p>
-        <button onClick={fetchWeatherData}>Erneut versuchen</button>
-      </div>
-    )
-  }
-
-  return (
-    <div className="app">
-      <header className="app-header">
-        <h1>🌤️ Wetterstation</h1>
-        {lastUpdate && (
-          <p className="last-update">
-            Letzte Aktualisierung: {lastUpdate.toLocaleTimeString('de-DE')}
-          </p>
-        )}
-      </header>
-      
-      <main className="app-main">
-        <WeatherDashboard data={weatherData} />
-      </main>
-    </div>
-  )
-}
-
-export default App

frontend/src/components/WeatherDashboard.css

@@ -139,6 +139,11 @@
   margin: 0.2rem -0.5rem -0.5rem -0.5rem;
 }
 
+.bar-trend {
+  font-size: 0.9em;
+  cursor: help;
+}
+
 .dashboard-footer {
 /*  margin-top: 2rem;
 */  padding-top: 1rem;
@@ -246,3 +251,287 @@
     display: none;
   }
 }
+
+/* Modal Styles */
+.modal-overlay {
+  position: fixed;
+  top: 0;
+  left: 0;
+  right: 0;
+  bottom: 0;
+  background: rgba(0, 0, 0, 0.5);
+  display: flex;
+  justify-content: center;
+  align-items: center;
+  z-index: 1000;
+}
+
+.modal-content {
+  background: white;
+  border-radius: 12px;
+  padding: 2rem;
+  max-width: 500px;
+  width: 90%;
+  box-shadow: 0 4px 20px rgba(0, 0, 0, 0.3);
+}
+
+.modal-content h2 {
+  margin-top: 0;
+  margin-bottom: 1.5rem;
+  color: #333;
+  font-size: 1.5rem;
+}
+
+.modal-form {
+  display: flex;
+  flex-direction: column;
+  gap: 1rem;
+}
+
+.form-group {
+  display: flex;
+  flex-direction: column;
+  gap: 0.5rem;
+}
+
+.form-group label {
+  font-weight: 600;
+  color: #333;
+  font-size: 0.95rem;
+}
+
+.form-group input[type="datetime-local"] {
+  padding: 0.75rem;
+  border: 2px solid #ddd;
+  border-radius: 8px;
+  font-size: 1rem;
+  font-family: inherit;
+  transition: border-color 0.2s ease;
+}
+
+.form-group input[type="datetime-local"]:focus {
+  outline: none;
+  border-color: #0066cc;
+}
+
+.error-message {
+  padding: 0.75rem;
+  background: #fee;
+  border: 1px solid #fcc;
+  border-radius: 6px;
+  color: #c00;
+  font-size: 0.9rem;
+}
+
+.modal-info {
+  padding: 0.75rem;
+  background: #f0f8ff;
+  border-radius: 6px;
+  font-size: 0.85rem;
+  color: #555;
+}
+
+.modal-info p {
+  margin: 0.25rem 0;
+}
+
+.modal-buttons {
+  display: flex;
+  gap: 1rem;
+  margin-top: 1rem;
+}
+
+.modal-buttons button {
+  flex: 1;
+  padding: 0.75rem 1.5rem;
+  border: none;
+  border-radius: 8px;
+  font-size: 1rem;
+  font-weight: 600;
+  cursor: pointer;
+  transition: all 0.2s ease;
+}
+
+.btn-cancel {
+  background: #f5f5f5;
+  color: #666;
+}
+
+.btn-cancel:hover {
+  background: #e0e0e0;
+}
+
+.btn-apply {
+  background: #0066cc;
+  color: white;
+}
+
+.btn-apply:hover {
+  background: #0052a3;
+}
+
+@media (max-width: 768px) {
+  .modal-content {
+    padding: 1.5rem;
+  }
+  
+  .modal-content h2 {
+    font-size: 1.25rem;
+  }
+  
+  .modal-buttons {
+    flex-direction: column;
+  }
+}
+
+/* ── Tabelle & Druck ──────────────────────────────────────── */
+
+.table-toggle-btn {
+  padding: 0.5rem 1.5rem;
+  background: white;
+  border: 2px solid #0066cc;
+  border-radius: 8px;
+  cursor: pointer;
+  font-size: 0.9rem;
+  font-weight: 500;
+  color: #0066cc;
+  transition: all 0.2s ease;
+}
+
+.table-toggle-btn:hover {
+  background: #e6f0fa;
+}
+
+.table-toggle-btn.active {
+  background: #0066cc;
+  border-color: #0066cc;
+  color: white;
+}
+
+.table-view {
+  margin-bottom: 1.5rem;
+}
+
+.table-actions {
+  display: flex;
+  justify-content: flex-end;
+  margin-bottom: 0.75rem;
+}
+
+.btn-print {
+  padding: 0.45rem 1.2rem;
+  background: white;
+  border: 2px solid #555;
+  border-radius: 8px;
+  cursor: pointer;
+  font-size: 0.9rem;
+  font-weight: 500;
+  color: #333;
+  transition: all 0.2s ease;
+}
+
+.btn-print:hover {
+  background: #f0f0f0;
+}
+
+.weather-table {
+  width: 100%;
+  border-collapse: collapse;
+  font-size: 0.88rem;
+  background: white;
+  border-radius: 8px;
+  overflow: hidden;
+  box-shadow: 0 2px 8px rgba(0, 0, 0, 0.1);
+}
+
+.weather-table th,
+.weather-table td {
+  border-left: 1px solid rgba(255,255,255,0.3);
+  border-right: 1px solid rgba(255,255,255,0.3);
+}
+
+.weather-table td {
+  border-left: 1px solid #ddd;
+  border-right: 1px solid #ddd;
+}
+
+.weather-table th {
+  background: #0066cc;
+  color: white;
+  padding: 0.6rem 0.5rem;
+  text-align: center;
+  font-weight: 600;
+  white-space: nowrap;
+  vertical-align: top;
+}
+
+.weather-table thead tr:nth-child(2) th {
+  background: #3388dd;
+  font-weight: 400;
+  font-size: 0.82rem;
+  padding: 0.3rem 0.5rem;
+}
+
+.weather-table thead tr:first-child th:first-child {
+  text-align: left;
+}
+
+.weather-table td {
+  padding: 0.45rem 0.5rem;
+  text-align: center;
+  border-bottom: 1px solid #eee;
+  color: #333;
+}
+
+.weather-table td:first-child {
+  text-align: left;
+  font-weight: 500;
+  white-space: nowrap;
+}
+
+.weather-table tbody tr:nth-child(even) {
+  background: #f5f8fd;
+}
+
+.weather-table tbody tr:hover {
+  background: #e6f0fa;
+}
+
+/* Drucken */
+@media print {
+  .no-print,
+  .time-range-nav,
+  .time-range-label,
+  .dashboard-footer,
+  .modal-overlay {
+    display: none !important;
+  }
+
+  body {
+    background: white;
+  }
+
+  .dashboard {
+    max-width: 100%;
+    margin: 0;
+    padding: 0;
+  }
+
+  .weather-table {
+    box-shadow: none;
+    font-size: 0.8rem;
+  }
+
+  .weather-table th {
+    background: #333 !important;
+    color: white !important;
+    -webkit-print-color-adjust: exact;
+    print-color-adjust: exact;
+  }
+
+  .weather-table tbody tr:nth-child(even) {
+    background: #f0f0f0 !important;
+    -webkit-print-color-adjust: exact;
+    print-color-adjust: exact;
+  }
+}

frontend/src/components/WeatherDashboard.jsx

@@ -1,4 +1,4 @@
-import { useMemo } from 'react'
+import { useMemo, useState } from 'react'
 import Highcharts from 'highcharts'
 import HighchartsReact from 'highcharts-react-official'
 import { format } from 'date-fns'
@@ -20,7 +20,85 @@ Highcharts.setOptions({
   }
 })
 
-const WeatherDashboard = ({ data, currentData = [], rainData = [], timeRange = '24h', onTimeRangeChange }) => {
+const WeatherDashboard = ({ data, currentData = [], rainData = [], timeRange = '24h', onTimeRangeChange, showTable = false, onToggleTable }) => {
+  // State für benutzerdefinierten Zeitbereich
+  const [showCustomRangeModal, setShowCustomRangeModal] = useState(false)
+  const [customStartDate, setCustomStartDate] = useState('')
+  const [customEndDate, setCustomEndDate] = useState('')
+  const [customError, setCustomError] = useState('')
+  
+  // Handler für benutzerdefinierten Zeitbereich
+  const handleOpenCustomRange = () => {
+    // Versuche gespeicherten Zeitbereich zu laden
+    try {
+      const savedRange = localStorage.getItem('customTimeRange')
+      if (savedRange) {
+        const { start, end } = JSON.parse(savedRange)
+        setCustomStartDate(start.split('T')[0])
+        setCustomEndDate(end.split('T')[0])
+      } else {
+        // Setze Standardwerte (letzte 7 Tage)
+        const end = new Date()
+        const start = new Date(end.getTime() - 7 * 24 * 60 * 60 * 1000)
+        
+        setCustomStartDate(format(start, 'yyyy-MM-dd'))
+        setCustomEndDate(format(end, 'yyyy-MM-dd'))
+      }
+    } catch (e) {
+      // Bei Fehler: Standardwerte verwenden
+      const end = new Date()
+      const start = new Date(end.getTime() - 7 * 24 * 60 * 60 * 1000)
+      
+      setCustomStartDate(format(start, 'yyyy-MM-dd'))
+      setCustomEndDate(format(end, 'yyyy-MM-dd'))
+    }
+    
+    setCustomError('')
+    setShowCustomRangeModal(true)
+  }
+  
+  const handleApplyCustomRange = () => {
+    if (!customStartDate || !customEndDate) {
+      setCustomError('Bitte Start- und Enddatum auswählen')
+      return
+    }
+    
+    const diffDays = Math.floor((new Date(customEndDate) - new Date(customStartDate)) / (1000 * 60 * 60 * 24))
+    
+    if (diffDays < 0) {
+      setCustomError('Enddatum muss nach dem Startdatum liegen')
+      return
+    }
+    
+    if (diffDays > 365) {
+      setCustomError('Maximaler Zeitraum ist 1 Jahr (365 Tage)')
+      return
+    }
+    
+    const startStr = customStartDate + 'T00:00'
+    const endStr = customEndDate + 'T23:59'
+    
+    // Zeitbereich im localStorage speichern
+    try {
+      localStorage.setItem('customTimeRange', JSON.stringify({
+        start: customStartDate,
+        end: customEndDate
+      }))
+    } catch (e) {
+      // Fehler beim Speichern ignorieren
+      console.warn('Konnte Zeitbereich nicht speichern:', e)
+    }
+    
+    // Anwenden
+    onTimeRangeChange('custom', { start: startStr, end: endStr })
+    setShowCustomRangeModal(false)
+  }
+  
+  const handleCancelCustomRange = () => {
+    setShowCustomRangeModal(false)
+    setCustomError('')
+  }
+  
   // Daten vorbereiten und nach Zeit sortieren (älteste zuerst)
   const sortedData = useMemo(() => {
     return [...data].sort((a, b) => new Date(a.datetime) - new Date(b.datetime))
@@ -33,6 +111,11 @@ const WeatherDashboard = ({ data, currentData = [], rainData = [], timeRange = '
   
   // Zeitraum-Label
   const timeRangeLabel = useMemo(() => {
+    if (typeof timeRange === 'object' && timeRange.type === 'custom') {
+      const start = new Date(timeRange.start)
+      const end = new Date(timeRange.end)
+      return `${format(start, 'dd.MM.yyyy HH:mm', { locale: de })} - ${format(end, 'dd.MM.yyyy HH:mm', { locale: de })}`
+    }
     switch (timeRange) {
       case '24h': return 'Die letzten 24 Stunden'
       case '7d': return 'Die letzten 7 Tage'
@@ -44,9 +127,18 @@ const WeatherDashboard = ({ data, currentData = [], rainData = [], timeRange = '
 
   // Aggregations-Zusatz für Chart-Titel
   const aggregationSuffix = useMemo(() => {
+    // Custom range: basierend auf days
+    if (typeof timeRange === 'object' && timeRange.type === 'custom') {
+      const days = timeRange.days || 1
+      if (days >= 7) {
+        return ' (Tagesmittel)'
+      } else {
+        return ' (Stundenmittel)'
+      }
+    }
+    // Vordefinierte Bereiche
     switch (timeRange) {
       case '7d':
-        return ' (Stundenmittel)'
       case '30d':
       case '365d':
         return ' (Tagesmittel)'
@@ -55,11 +147,35 @@ const WeatherDashboard = ({ data, currentData = [], rainData = [], timeRange = '
     }
   }, [timeRange])
 
-  // Spezieller Suffix für Temperatur bei 30d/365d
-  const temperatureSuffix = useMemo(() => {
+  // Spezieller Suffix für Regen
+  const rainSuffix = useMemo(() => {
+    if (typeof timeRange === 'object' && timeRange.type === 'custom') {
+      const days = timeRange.days || 1
+      return days >= 7 ? ' (pro Tag)' : ''
+    }
+    switch (timeRange) {
+      case '7d':
+      case '30d':
+      case '365d':
+        return ' (pro Tag)'
+      default:
+        return ''
+    }
+  }, [timeRange])
+
+  // Spezieller Suffix für Temperatur bei 30d/365d
+  const temperatureSuffix = useMemo(() => {
+    // Custom range: basierend auf days
+    if (typeof timeRange === 'object' && timeRange.type === 'custom') {
+      const days = timeRange.days || 1
+      if (days >= 7) {
+        return ' (Tages-Min/Max)'
+      }
+      return ''
+    }
+    // Vordefinierte Bereiche
     switch (timeRange) {
       case '7d':
-        return ' (Stundenmittel)'
       case '30d':
       case '365d':
         return ' (Tages-Min/Max)'
@@ -70,7 +186,17 @@ const WeatherDashboard = ({ data, currentData = [], rainData = [], timeRange = '
 
   // Spezieller Suffix für Windböen bei 30d/365d
   const windGustSuffix = useMemo(() => {
+    // Custom range: basierend auf days
+    if (typeof timeRange === 'object' && timeRange.type === 'custom') {
+      const days = timeRange.days || 1
+      if (days >= 7) {
+        return ' (TagesMax)'
+      }
+      return ''
+    }
+    // Vordefinierte Bereiche
     switch (timeRange) {
+      case '7d':
       case '30d':
       case '365d':
         return ' (TagesMax)'
@@ -79,8 +205,40 @@ const WeatherDashboard = ({ data, currentData = [], rainData = [], timeRange = '
     }
   }, [timeRange])
 
+  // Hilfsfunktion: Dynamischen Y-Bereich berechnen.
+  // minHalfSpan: halbe Mindestspanne (z.B. 5 → Bereich mind. 10 Einheiten)
+  const calcYRange = (values, minHalfSpan) => {
+    if (values.length === 0) return { yMin: null, yMax: null }
+    const min = Math.min(...values)
+    const max = Math.max(...values)
+    if (max - min < minHalfSpan * 2) {
+      const center = (max + min) / 2
+      return { yMin: center - minHalfSpan, yMax: center + minHalfSpan }
+    }
+    return { yMin: min, yMax: max }
+  }
+
+  // Hilfsfunktion: BarTrend-Wert (Davis VantagePro) → Pfeil + Label
+  // Werte laut Davis Serial Communication Reference Rev 2.6.1:
+  // -60 = Falling Rapidly, -20 = Falling Slowly, 0 = Steady,
+  //  20 = Rising Slowly,   60 = Rising Rapidly,  80/'P' = kein Trend
+  const barTrendArrow = (trend) => {
+    switch (trend) {
+      case -60: return { arrow: '⬇⬇', label: 'Fällt schnell' }
+      case -20: return { arrow: '⬇',  label: 'Fällt langsam' }
+      case   0: return { arrow: '→',  label: 'Stabil' }
+      case  20: return { arrow: '⬆',  label: 'Steigt langsam' }
+      case  60: return { arrow: '⬆⬆', label: 'Steigt schnell' }
+      default:  return null
+    }
+  }
+
   // Gemeinsame Chart-Optionen (angepasst an Zeitraum)
   const getCommonOptions = () => {
+    // Prüfe, ob es ein custom range ist
+    const isCustomRange = typeof timeRange === 'object' && timeRange.type === 'custom'
+    const customDays = isCustomRange ? (timeRange.days || 1) : 0
+    
     // X-Achsen-Konfiguration basierend auf Zeitraum
     let xAxisConfig = {
       type: 'datetime',
@@ -91,35 +249,66 @@ const WeatherDashboard = ({ data, currentData = [], rainData = [], timeRange = '
     // Zeitspanne für X-Achse berechnen (für festen Zeitrahmen)
     const now = new Date().getTime()
     let xAxisMin, xAxisMax
+    let tooltipDateFormat = '%d.%m.%Y'
     
-    switch (timeRange) {
-      case '24h':
-        xAxisConfig.tickInterval = 4 * 3600 * 1000 // 4 Stunden
-        xAxisConfig.labels = { format: '{value:%H:%M}', align: 'center' }
-        xAxisMin = now - 24 * 3600 * 1000
-        xAxisMax = now
-        break
-      case '7d':
+    if (isCustomRange) {
+      // Custom range Konfiguration - Min/Max aus Daten nehmen
+      if (customDays >= 7) {
         xAxisConfig.labels = { format: '{value:%d.%m}', align: 'center' }
-        xAxisMin = now - 7 * 24 * 3600 * 1000
-        xAxisMax = now
-        break
-      case '30d':
-        xAxisConfig.labels = { format: '{value:%d.%m}', align: 'center' }
-        xAxisMin = now - 30 * 24 * 3600 * 1000
-        xAxisMax = now
-        break
-      case '365d':
-        xAxisConfig.labels = { format: '{value:%b %Y}', align: 'center' }
-        // Bei 365d: Min/Max aus vorhandenen Daten berechnen
-        if (sortedData.length > 0) {
-          xAxisMin = new Date(sortedData[0].datetime).getTime()
-          xAxisMax = new Date(sortedData[sortedData.length - 1].datetime).getTime()
-        } else {
-          xAxisMin = null
-          xAxisMax = null
-        }
-        break
+        tooltipDateFormat = '%d.%m.%Y'
+      } else {
+        xAxisConfig.labels = { format: '{value:%d.%m %H:%M}', align: 'center' }
+        tooltipDateFormat = '%d.%m.%Y %H:%M'
+      }
+      // X-Achsen-Bereich aus den tatsächlichen Daten bestimmen
+      if (sortedData.length > 0) {
+        xAxisMin = new Date(sortedData[0].datetime).getTime()
+        xAxisMax = new Date(sortedData[sortedData.length - 1].datetime).getTime()
+      } else {
+        xAxisMin = null
+        xAxisMax = null
+      }
+    } else {
+      // Vordefinierte Bereiche
+      switch (timeRange) {
+        case '24h':
+          xAxisConfig.tickInterval = 4 * 3600 * 1000 // 4 Stunden
+          xAxisConfig.labels = { format: '{value:%H:%M}', align: 'center' }
+          xAxisMin = now - 24 * 3600 * 1000
+          xAxisMax = now
+          tooltipDateFormat = '%d.%m.%Y %H:%M'
+          break
+        case '7d':
+          xAxisConfig.labels = { format: '{value:%d.%m}', align: 'center' }
+          xAxisMin = now - 7 * 24 * 3600 * 1000
+          xAxisMax = now
+          tooltipDateFormat = '%d.%m.%Y - %Hh'
+          break
+        case '30d':
+          xAxisConfig.labels = { format: '{value:%d.%m}', align: 'center' }
+          xAxisMin = now - 30 * 24 * 3600 * 1000
+          xAxisMax = now
+          tooltipDateFormat = '%d.%m.%Y'
+          break
+        case '365d':
+          xAxisConfig.labels = { format: '{value:%b %Y}', align: 'center' }
+          tooltipDateFormat = '%b %Y'
+          // Bei 365d: Min/Max aus vorhandenen Daten berechnen
+          if (sortedData.length > 0) {
+            xAxisMin = new Date(sortedData[0].datetime).getTime()
+            xAxisMax = new Date(sortedData[sortedData.length - 1].datetime).getTime()
+          } else {
+            xAxisMin = null
+            xAxisMax = null
+          }
+          break
+        default:
+          xAxisConfig.tickInterval = 4 * 3600 * 1000
+          xAxisConfig.labels = { format: '{value:%H:%M}', align: 'center' }
+          xAxisMin = now - 24 * 3600 * 1000
+          xAxisMax = now
+          tooltipDateFormat = '%d.%m.%Y %H:%M'
+      }
     }
     
     // Min/Max für X-Achse setzen
@@ -147,7 +336,7 @@ const WeatherDashboard = ({ data, currentData = [], rainData = [], timeRange = '
       tooltip: {
         shared: true,
         crosshairs: true,
-        xDateFormat: timeRange === '24h' ? '%d.%m.%Y %H:%M' : (timeRange === '7d' ? '%d.%m.%Y - %Hh' : '%d.%m.%Y')
+        xDateFormat: tooltipDateFormat
       },
       plotOptions: {
         series: {
@@ -171,8 +360,13 @@ const WeatherDashboard = ({ data, currentData = [], rainData = [], timeRange = '
 
   // Temperatur Chart
   const temperatureOptions = useMemo(() => {
-    // Bei 30d und 365d: Min/Max-Temperaturen anzeigen
-    if (timeRange === '30d' || timeRange === '365d') {
+    // Prüfe, ob Min/Max-Temperaturen angezeigt werden sollen
+    const isCustomRange = typeof timeRange === 'object' && timeRange.type === 'custom'
+    const customDays = isCustomRange ? (timeRange.days || 1) : 0
+    const showMinMax = (timeRange === '7d' || timeRange === '30d' || timeRange === '365d') || (isCustomRange && customDays >= 7)
+    
+    // Bei 7d, 30d, 365d und custom >= 7 Tage: Min/Max-Temperaturen anzeigen
+    if (showMinMax) {
       const minTemps = sortedData.filter(item => item.min_temperature != null).map(item => item.min_temperature)
       const maxTemps = sortedData.filter(item => item.max_temperature != null).map(item => item.max_temperature)
       
@@ -252,18 +446,7 @@ const WeatherDashboard = ({ data, currentData = [], rainData = [], timeRange = '
       }
     }
     
-    const min = Math.min(...temps)
-    const max = Math.max(...temps)
-    const range = max - min
-
-    let yMin = min
-    let yMax = max
-
-    if (range < 10) {
-      const center = (max + min) / 2
-      yMin = center - 5
-      yMax = center + 5
-    }
+    const { yMin, yMax } = calcYRange(temps, 5)
 
     return {
       ...getCommonOptions(),
@@ -298,13 +481,16 @@ const WeatherDashboard = ({ data, currentData = [], rainData = [], timeRange = '
   }, [sortedData, temperatureSuffix, timeRange])
 
   // Luftfeuchtigkeit Chart
-  const humidityOptions = useMemo(() => ({
+  const humidityOptions = useMemo(() => {
+    const humidities = sortedData.filter(item => item.humidity != null).map(item => item.humidity)
+    const { yMin, yMax } = calcYRange(humidities, 10)
+    return {
     ...getCommonOptions(),
     yAxis: {
       ...getCommonOptions().yAxis,
       title: { text: null },
-      min: 40,
-      max: 100
+      min: yMin,
+      max: yMax
     },
     series: [{
       name: 'Feuchte',
@@ -326,7 +512,8 @@ const WeatherDashboard = ({ data, currentData = [], rainData = [], timeRange = '
         valueSuffix: ' %'
       }
     }]
-  }), [sortedData])
+  }
+  }, [sortedData, timeRange])
 
   // Luftdruck Chart
   const pressureOptions = useMemo(() => {
@@ -343,18 +530,7 @@ const WeatherDashboard = ({ data, currentData = [], rainData = [], timeRange = '
       }
     }
     
-    const min = Math.min(...pressures)
-    const max = Math.max(...pressures)
-    const range = max - min
-
-    let yMin = min
-    let yMax = max
-    
-    if (range < 40) {
-      const center = (max + min) / 2
-      yMin = center - 20
-      yMax = center + 20
-    }
+    const { yMin, yMax } = calcYRange(pressures, 20)
 
     return {
       ...getCommonOptions(),
@@ -385,7 +561,7 @@ const WeatherDashboard = ({ data, currentData = [], rainData = [], timeRange = '
         }
       }]
     }
-  }, [sortedData])
+  }, [sortedData, timeRange])
 
   // Regen Chart (angepasst an Zeitraum)
   const rainOptions = useMemo(() => {
@@ -402,6 +578,7 @@ const WeatherDashboard = ({ data, currentData = [], rainData = [], timeRange = '
         fillColor: 'rgba(54, 162, 235, 0.3)',
         type: 'area',
         tooltip: {
+          valueDecimals: 1,
           valueSuffix: ' mm'
         }
       }, {
@@ -423,6 +600,7 @@ const WeatherDashboard = ({ data, currentData = [], rainData = [], timeRange = '
         color: 'rgb(54, 162, 235)',
         type: 'column',
         tooltip: {
+          valueDecimals: 1,
           valueSuffix: ' mm'
         }
       }]
@@ -435,6 +613,22 @@ const WeatherDashboard = ({ data, currentData = [], rainData = [], timeRange = '
         color: 'rgb(54, 162, 235)',
         type: 'column',
         tooltip: {
+          valueDecimals: 1,
+          valueSuffix: ' mm'
+        }
+      }]
+    } else if (typeof timeRange === 'object' && timeRange.type === 'custom') {
+      // Custom range: tägliche Summen aus sortedData (total_rain ist im daily-aggregated-range enthalten)
+      yAxisTitle = 'Regen (mm pro Tag)'
+      series = [{
+        name: 'Regen',
+        data: sortedData
+          .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)',
+        type: 'column',
+        tooltip: {
+          valueDecimals: 1,
           valueSuffix: ' mm'
         }
       }]
@@ -452,47 +646,38 @@ const WeatherDashboard = ({ data, currentData = [], rainData = [], timeRange = '
 
   // Windgeschwindigkeit Chart
   const windSpeedOptions = useMemo(() => {
-    // Bei 365d nur Windgeschwindigkeit, keine Böen
-    const series = timeRange === '365d' 
-      ? [{
-          name: 'Windgeschwindigkeit',
-          data: sortedData
-            .filter(item => item.wind_speed != null)
-            .map(item => [new Date(item.datetime).getTime(), item.wind_speed]),
-          color: 'rgb(153, 102, 255)',
-          fillColor: 'rgba(153, 102, 255, 0.1)',
-          type: 'area',
-          connectNulls: false,
-          gapSize: 2 * 24 * 3600 * 1000,
-          gapUnit: 'value',
-          tooltip: {
-            valueDecimals: 1,
-            valueSuffix: ' km/h'
-          }
-        }]
-      : [{
-          name: 'Windgeschwindigkeit',
-          data: sortedData
-            .filter(item => item.wind_speed != null)
-            .map(item => [new Date(item.datetime).getTime(), item.wind_speed]),
-          color: 'rgb(153, 102, 255)',
-          fillColor: 'rgba(153, 102, 255, 0.1)',
-          type: 'area',
-          connectNulls: false,
-          gapSize: 2 * 24 * 3600 * 1000,
-          gapUnit: 'value',
-          tooltip: {
-            valueDecimals: 1,
-            valueSuffix: ' km/h'
-          }
-        }, {
+    // Prüfe, ob Böen angezeigt werden sollen (nicht bei 365d oder custom >= 365 Tage)
+    const isCustomRange = typeof timeRange === 'object' && timeRange.type === 'custom'
+    const customDays = isCustomRange ? (timeRange.days || 1) : 0
+    const hideGusts = (timeRange === '365d') || (isCustomRange && customDays >= 365)
+    const windSpeedSeries = {
+      name: 'Windgeschwindigkeit',
+      data: sortedData
+        .filter(item => item.wind_speed != null)
+        .map(item => [new Date(item.datetime).getTime(), item.wind_speed]),
+      color: 'rgb(153, 102, 255)',
+      fillColor: 'rgba(153, 102, 255, 0.1)',
+      type: 'area',
+      connectNulls: false,
+      gapSize: 2 * 24 * 3600 * 1000,
+      gapUnit: 'value',
+      tooltip: {
+        valueDecimals: 1,
+        valueSuffix: ' km/h'
+      }
+    }
+
+    const series = hideGusts
+      ? [windSpeedSeries]
+      : [windSpeedSeries, {
           name: 'Böe' + windGustSuffix,
           data: sortedData
             .filter(item => item.wind_gust != null)
             .map(item => [new Date(item.datetime).getTime(), item.wind_gust]),
-          color: 'rgb(255, 159, 64)',
-          fillColor: 'rgba(255, 159, 64, 0.1)',
+          color: 'rgb(255, 100, 0)',
+          fillColor: 'rgba(255, 100, 0, 0.15)',
           type: 'area',
+          lineWidth: 1.5,
           connectNulls: false,
           gapSize: 2 * 24 * 3600 * 1000,
           gapUnit: 'value',
@@ -501,9 +686,15 @@ const WeatherDashboard = ({ data, currentData = [], rainData = [], timeRange = '
             valueSuffix: ' km/h'
           }
         }]
-    
     return {
       ...getCommonOptions(),
+      legend: {
+        enabled: true,
+        align: 'right',
+        verticalAlign: 'top',
+        floating: true,
+        itemStyle: { fontSize: '11px', fontWeight: 'normal' }
+      },
       plotOptions: {
         series: {
           marker: {
@@ -517,7 +708,8 @@ const WeatherDashboard = ({ data, currentData = [], rainData = [], timeRange = '
       },
       yAxis: {
         ...getCommonOptions().yAxis,
-        title: { text: null }
+        title: { text: null },
+        min: 0
       },
       series
     }
@@ -588,7 +780,15 @@ const WeatherDashboard = ({ data, currentData = [], rainData = [], timeRange = '
     }
     
     // Zeitformat basierend auf Zeitraum
-    const timeFormat = timeRange === '24h' ? 'HH:mm' : 'dd.MM HH:mm'
+    const isCustomRange = typeof timeRange === 'object' && timeRange.type === 'custom'
+    const customDays = isCustomRange ? (timeRange.days || 1) : 0
+    let timeFormat = 'dd.MM HH:mm'
+    
+    if (isCustomRange) {
+      timeFormat = customDays < 7 ? 'HH:mm' : 'dd.MM HH:mm'
+    } else {
+      timeFormat = timeRange === '24h' ? 'HH:mm' : 'dd.MM HH:mm'
+    }
 
     // Temperatur
     const minTempItem = periodData.reduce((min, item) => 
@@ -630,6 +830,77 @@ const WeatherDashboard = ({ data, currentData = [], rainData = [], timeRange = '
     }
   }, [sortedData, timeRange])        
 
+  // Regen-Lookup: date-string → total_rain
+  const rainByDate = useMemo(() => {
+    const map = {}
+    rainData.forEach(item => {
+      const key = item.date
+        ? item.date.split('T')[0]
+        : item.week_start
+          ? item.week_start.split('T')[0]
+          : null
+      if (key) map[key] = item.total_rain
+    })
+    return map
+  }, [rainData])
+
+  // Tabellen-Daten: ein Eintrag pro Tag
+  const tableData = useMemo(() => {
+    const isCustomRange = typeof timeRange === 'object' && timeRange.type === 'custom'
+    const customDays = isCustomRange ? (timeRange.days || 1) : 0
+    const isDailyAggregated =
+      ['7d', '30d', '365d'].includes(timeRange) || (isCustomRange && customDays >= 7)
+
+    if (isDailyAggregated) {
+      return sortedData.map(item => {
+        const dateKey = item.datetime.split('T')[0]
+        return {
+          date: format(new Date(item.datetime), 'dd.MM.yyyy', { locale: de }),
+          tempMin: item.min_temperature ?? null,
+          tempMax: item.max_temperature ?? null,
+          humMin: item.min_humidity ?? null,
+          humMax: item.max_humidity ?? null,
+          pressMin: item.min_pressure ?? null,
+          pressMax: item.max_pressure ?? null,
+          rain: item.total_rain ?? rainByDate[dateKey] ?? null,
+          windMax: item.wind_gust ?? null,
+        }
+      })
+    } else {
+      // Stundenwerte → pro Tag aggregieren
+      const byDay = {}
+      sortedData.forEach(item => {
+        const d = new Date(item.datetime)
+        const dateKey = format(d, 'yyyy-MM-dd')
+        const dateLabel = format(d, 'dd.MM.yyyy', { locale: de })
+        if (!byDay[dateKey]) {
+          byDay[dateKey] = { date: dateLabel, temps: [], hums: [], pressures: [], rains: [], windGusts: [] }
+        }
+        if (item.temperature != null) byDay[dateKey].temps.push(item.temperature)
+        if (item.humidity != null) byDay[dateKey].hums.push(item.humidity)
+        if (item.pressure != null) byDay[dateKey].pressures.push(item.pressure)
+        if (item.rain != null) byDay[dateKey].rains.push(item.rain)
+        if (item.wind_gust != null) byDay[dateKey].windGusts.push(item.wind_gust)
+      })
+      const startKey = isCustomRange ? timeRange.start.split('T')[0] : null
+      const endKey = isCustomRange ? timeRange.end.split('T')[0] : null
+      return Object.entries(byDay)
+        .sort(([a], [b]) => a.localeCompare(b))
+        .filter(([k]) => !startKey || (k >= startKey && k <= endKey))
+        .map(([, d]) => ({
+          date: d.date,
+          tempMin: d.temps.length ? Math.min(...d.temps) : null,
+          tempMax: d.temps.length ? Math.max(...d.temps) : null,
+          humMin: d.hums.length ? Math.round(Math.min(...d.hums)) : null,
+          humMax: d.hums.length ? Math.round(Math.max(...d.hums)) : null,
+          pressMin: d.pressures.length ? Math.min(...d.pressures) : null,
+          pressMax: d.pressures.length ? Math.max(...d.pressures) : null,
+          rain: d.rains.length ? Math.max(...d.rains) : null,
+          windMax: d.windGusts.length ? Math.max(...d.windGusts) : null,
+        }))
+    }
+  }, [sortedData, rainByDate, timeRange])
+
   return (
     <div className="dashboard">
       {/* Navigation für Zeitraum-Auswahl */}
@@ -662,6 +933,19 @@ const WeatherDashboard = ({ data, currentData = [], rainData = [], timeRange = '
           <span className="time-range-full">365 Tage</span>
           <span className="time-range-short">365d</span>
         </button>
+        <button 
+          className={(typeof timeRange === 'object' && timeRange.type === 'custom') ? 'active' : ''}
+          onClick={handleOpenCustomRange}
+        >
+          <span className="time-range-full">Bereich</span>
+          <span className="time-range-short">Bereich</span>
+        </button>
+        <button
+          className={`table-toggle-btn${showTable ? ' active' : ''}`}
+          onClick={onToggleTable}
+        >
+          <span>{showTable ? 'Grafik' : 'Tabelle'}</span>
+        </button>
       </div>
       
       {/* Zeitraum-Beschreibung */}
@@ -669,7 +953,49 @@ const WeatherDashboard = ({ data, currentData = [], rainData = [], timeRange = '
         {timeRangeLabel}
       </div>
       
-      {/* Charts Grid */}
+      {/* Charts Grid / Tabellenansicht */}
+      {showTable ? (
+        <div className="table-view">
+          <div className="table-actions no-print">
+            <button className="btn-print" onClick={() => window.print()}>🖨️ Drucken</button>
+          </div>
+          <table className="weather-table">
+            <thead>
+              <tr>
+                <th rowSpan={2}>Datum</th>
+                <th colSpan={2}>Temperatur<br/>°C</th>
+                <th colSpan={2}>Feuchte<br/>%</th>
+                <th colSpan={2}>Luftdruck<br/>hPa</th>
+                <th rowSpan={2}>Regen<br/>mm</th>
+                <th rowSpan={2}>Wind-V<br/>max km/h</th>
+              </tr>
+              <tr>
+                <th>min</th>
+                <th>max</th>
+                <th>min</th>
+                <th>max</th>
+                <th>min</th>
+                <th>max</th>
+              </tr>
+            </thead>
+            <tbody>
+              {tableData.map((row, i) => (
+                <tr key={i}>
+                  <td>{row.date}</td>
+                  <td>{row.tempMin != null ? row.tempMin.toFixed(1) : '-'}</td>
+                  <td>{row.tempMax != null ? row.tempMax.toFixed(1) : '-'}</td>
+                  <td>{row.humMin != null ? row.humMin : '-'}</td>
+                  <td>{row.humMax != null ? row.humMax : '-'}</td>
+                  <td>{row.pressMin != null ? row.pressMin.toFixed(0) : '-'}</td>
+                  <td>{row.pressMax != null ? row.pressMax.toFixed(0) : '-'}</td>
+                  <td>{row.rain != null ? row.rain.toFixed(1) : '0'}</td>
+                  <td>{row.windMax != null ? row.windMax.toFixed(1) : '-'}</td>
+                </tr>
+              ))}
+            </tbody>
+          </table>
+        </div>
+      ) : (
       <div className="charts-grid">
         <div className="chart-item">
           <div className="current-value">Aktuell: {current.temperature?.toFixed(1) || '-'}°C</div>
@@ -687,7 +1013,7 @@ const WeatherDashboard = ({ data, currentData = [], rainData = [], timeRange = '
         <div className="chart-item">
           <div className="current-value">Aktuell: {current.pressure?.toFixed(0) || '-'} hPa</div>
           <div className="chart-container">
-            <h3><span>🌐 Luftdruck{aggregationSuffix}</span><span className="unit">[hPa]</span></h3>
+            <h3><span>🌐 Luftdruck{aggregationSuffix}{(() => { const t = barTrendArrow(current.bar_trend); return t ? <span className="bar-trend" title={t.label}> {t.arrow}</span> : null })()}</span><span className="unit">[hPa]</span></h3>
             <div className="chart-wrapper">
               <HighchartsReact highcharts={Highcharts} options={pressureOptions} />
             </div>
@@ -713,7 +1039,7 @@ const WeatherDashboard = ({ data, currentData = [], rainData = [], timeRange = '
         <div className="chart-item">
           <div className="current-value">Aktuell: {current.rain?.toFixed(1) || '-'} mm</div>
           <div className="chart-container">
-            <h3><span>🌧️ Regen{aggregationSuffix}</span><span className="unit">[mm]</span></h3>
+            <h3><span>🌧️ Regen{rainSuffix}</span><span className="unit">[mm]</span></h3>
             <div className="chart-wrapper">
               <HighchartsReact highcharts={Highcharts} options={rainOptions} />
             </div>
@@ -735,7 +1061,7 @@ const WeatherDashboard = ({ data, currentData = [], rainData = [], timeRange = '
         <div className="chart-item">
           <div className="current-value">Aktuell: {current.wind_speed?.toFixed(1) || '-'} km/h</div>
           <div className="chart-container">
-            <h3><span>💨 Windspeed{aggregationSuffix}</span><span className="unit">[km/h]</span></h3>
+            <h3><span>💨 Wind{aggregationSuffix}</span><span className="unit">[km/h]</span></h3>
             <div className="chart-wrapper">
               <HighchartsReact highcharts={Highcharts} options={windSpeedOptions} />
             </div>
@@ -746,6 +1072,56 @@ const WeatherDashboard = ({ data, currentData = [], rainData = [], timeRange = '
         </div>
 
       </div>
+      )} {/* end showTable ternary */}
+
+      {/* Modal für benutzerdefinierten Zeitbereich */}
+      {showCustomRangeModal && (
+        <div className="modal-overlay" onClick={handleCancelCustomRange}>
+          <div className="modal-content" onClick={(e) => e.stopPropagation()}>
+            <h2>Benutzerdefinierten Zeitbereich wählen</h2>
+            
+            <div className="modal-form">
+              <div className="form-group">
+                <label htmlFor="startDate">Startdatum:</label>
+                <input
+                  type="date"
+                  id="startDate"
+                  value={customStartDate}
+                  onChange={(e) => setCustomStartDate(e.target.value)}
+                />
+              </div>
+              
+              <div className="form-group">
+                <label htmlFor="endDate">Enddatum:</label>
+                <input
+                  type="date"
+                  id="endDate"
+                  value={customEndDate}
+                  onChange={(e) => setCustomEndDate(e.target.value)}
+                />
+              </div>
+              
+              {customError && (
+                <div className="error-message">{customError}</div>
+              )}
+              
+              <div className="modal-info">
+                <p>• Enddatum muss nach dem Startdatum liegen</p>
+                <p>• Maximaler Zeitraum: 1 Jahr (365 Tage)</p>
+              </div>
+              
+              <div className="modal-buttons">
+                <button className="btn-cancel" onClick={handleCancelCustomRange}>
+                  Abbrechen
+                </button>
+                <button className="btn-apply" onClick={handleApplyCustomRange}>
+                  Anwenden
+                </button>
+              </div>
+            </div>
+          </div>
+        </div>
+      )}
 
       {/* Footer */}
       <div className="dashboard-footer">
@@ -765,9 +1141,6 @@ const WeatherDashboard = ({ data, currentData = [], rainData = [], timeRange = '
           <div className="footer-left">Daten-Erfassung mit einer Davis VantagePro.</div>
           <div className="footer-right">Grafiken erzeugt mit HighCharts</div>
         </div>
-        <div className="footer-sponsor">
-          Die Wetterstation wurde vom Zeitungsverlag Waiblingen <a href="https://www.zvw.de" target="_blank" rel="noopener noreferrer">www.zvw.de</a> gestiftet.
-        </div>
       </div>
 
     </div>

start-dev.sh

@@ -21,6 +21,15 @@ echo ""
 # Kurz warten bis API bereit ist
 sleep 3
 
+# Collector starten
+echo "📥 Starte Collector auf Port 8001..."
+cd "$SCRIPT_DIR"
+source .venv/bin/activate
+python -m uvicorn collector.main:app --host 0.0.0.0 --port 8001 --reload &
+COLLECTOR_PID=$!
+echo "Collector gestartet mit PID $COLLECTOR_PID"
+echo ""
+
 # Frontend starten
 echo "🎨 Starte Frontend auf Port 3000..."
 cd "$SCRIPT_DIR/frontend"
@@ -33,13 +42,14 @@ echo "✅ Alle Services gestartet!"
 echo ""
 echo "📊 API:      http://localhost:8000"
 echo "📊 API Docs: http://localhost:8000/docs"
+echo "📥 Collector: http://localhost:8001"
 echo "🌐 Frontend: http://localhost:3000"
 echo ""
 echo "Drücken Sie Ctrl+C um alle Services zu stoppen..."
 echo ""
 
 # Trap zum Beenden aller Prozesse
-trap "echo ''; echo '🛑 Stoppe Services...'; kill $API_PID $FRONTEND_PID 2>/dev/null; exit 0" INT TERM
+trap "echo ''; echo '🛑 Stoppe Services...'; kill $API_PID $COLLECTOR_PID $FRONTEND_PID 2>/dev/null; exit 0" INT TERM
 
 # Warte auf Beendigung
 wait