WIP: Dockerfile update + Grafana dashboard JSON + InfluxDB population script

Dockerfile

@@ -1,6 +1,6 @@
 FROM python:3.12-slim
 WORKDIR /app
-RUN pip install --no-cache-dir paho-mqtt requests
+RUN pip install --no-cache-dir paho-mqtt requests influxdb-client
 COPY simulator.py /app/
 EXPOSE 8081
 # Healthcheck endpoint (simple HTTP server)

grafana_smart-city-overview.json

@@ -0,0 +1 @@
+{"meta":{"type":"db","canSave":true,"canEdit":true,"canAdmin":true,"canStar":true,"canDelete":true,"slug":"smart-city-overview","url":"/d/e09bfbc3-6e4b-4134-963c-c98f9ffbb0f8/smart-city-overview","expires":"0001-01-01T00:00:00Z","created":"2026-05-04T15:26:52Z","updated":"2026-05-04T15:26:52Z","updatedBy":"admin","createdBy":"admin","version":1,"hasAcl":false,"isFolder":false,"folderId":0,"folderUid":"","folderTitle":"General","folderUrl":"","provisioned":false,"provisionedExternalId":"","annotationsPermissions":{"dashboard":{"canAdd":true,"canEdit":true,"canDelete":true},"organization":{"canAdd":true,"canEdit":true,"canDelete":true}}},"dashboard":{"id":4,"panels":[{"fieldConfig":{"defaults":{"color":{"mode":"thresholds"},"thresholds":{"mode":"absolute","steps":[{"color":"red","value":null},{"color":"yellow","value":10},{"color":"green","value":15}]},"unit":"short"}},"gridPos":{"h":4,"w":4,"x":0,"y":0},"id":1,"targets":[{"query":"from(bucket: \"iot_data\") |\u003e range(start: -1h) |\u003e filter(fn: (r) =\u003e r[\"_measurement\"] == \"sensors\") |\u003e distinct(column: \"device\") |\u003e count()"}],"title":"Active Sensors","type":"stat"},{"fieldConfig":{"defaults":{"color":{"mode":"thresholds"},"unit":"short"}},"gridPos":{"h":4,"w":4,"x":4,"y":0},"id":2,"targets":[{"query":"from(bucket: \"iot_data\") |\u003e range(start: -1h) |\u003e filter(fn: (r) =\u003e r[\"_measurement\"] == \"traffic\") |\u003e mean(column: \"vehicle_count\")"}],"title":"Average Traffic","type":"stat"},{"fieldConfig":{"defaults":{"color":{"mode":"thresholds"},"max":5,"min":1,"thresholds":{"steps":[{"color":"green","value":null},{"color":"yellow","value":2},{"color":"orange","value":3},{"color":"red","value":4}]},"unit":"short"}},"gridPos":{"h":4,"w":4,"x":8,"y":0},"id":3,"targets":[{"query":"from(bucket: \"iot_data\") |\u003e range(start: -1h) |\u003e filter(fn: (r) =\u003e r[\"_measurement\"] == \"airquality\") |\u003e mean(column: \"air_quality_index\")"}],"title":"Air Quality Index","type":"gauge"},{"fieldConfig":{"defaults":{"color":{"mode":"thresholds"},"unit":"short"}},"gridPos":{"h":4,"w":4,"x":12,"y":0},"id":4,"targets":[{"query":"from(bucket: \"iot_data\") |\u003e range(start: -1h) |\u003e filter(fn: (r) =\u003e r[\"_measurement\"] == \"parking\") |\u003e mean(column: \"available_spots\")"}],"title":"Parking Availability","type":"gauge"},{"fieldConfig":{"defaults":{"color":{"mode":"palette-classic"},"unit":"short"}},"gridPos":{"h":6,"w":12,"x":0,"y":4},"id":5,"targets":[{"query":"from(bucket: \"iot_data\") |\u003e range(start: -24h) |\u003e filter(fn: (r) =\u003e r[\"_measurement\"] == \"traffic\") |\u003e aggregateWindow(every: 5m, fn: mean)"}],"title":"Traffic Over Time","type":"timeseries"},{"gridPos":{"h":6,"w":12,"x":12,"y":4},"id":6,"options":{"layers":[{"config":{"location":{"mode":"coords"},"value":"pm25_ugm3"},"type":"markers"}],"view":{"lat":46.1667,"lon":-1.15,"zoom":12}},"targets":[{"query":"from(bucket: \"iot_data\") |\u003e range(start: -1h) |\u003e filter(fn: (r) =\u003e r[\"_measurement\"] == \"airquality\")"}],"title":"Air Quality Map","type":"geomap"},{"gridPos":{"h":3,"w":24,"x":0,"y":10},"id":7,"options":{"content":"## Current Weather\nTemperature: 18°C | Humidity: 65% | Wind: 15 km/h | UV Index: 3","mode":"markdown"},"title":"Weather Conditions","type":"text"}],"tags":["smart-city","digital-twin","overview"],"timezone":"browser","title":"Smart City Overview","uid":"e09bfbc3-6e4b-4134-963c-c98f9ffbb0f8","version":1}}

populate_influx.py

@@ -0,0 +1,76 @@
+#!/usr/bin/env python3
+"""Populate InfluxDB with Smart City sensor data for Martinique."""
+import os
+import time
+import random
+from datetime import datetime, timezone
+
+try:
+    import influxdb_client
+    from influxdb_client.client.write_api import SYNCHRONOUS
+except ImportError:
+    print("❌ influxdb-client not installed. Run: pip install influxdb-client")
+    exit(1)
+
+# Config
+INFLUX_URL = os.environ.get("INFLUX_URL", "http://localhost:8086")
+INFLUX_ORG = os.environ.get("INFLUX_ORG", "digitribe")
+INFLUX_BUCKET = os.environ.get("INFLUX_BUCKET", "iot_data")
+INFLUX_TOKEN = os.environ.get("INFLUX_TOKEN", 
+    "yA8zFZYsPOLDdDxlviIfHw_5gELH8k439TANamk2JiJIyAbhyNCHDzUeYJkjL-hAy99fs_96j_59WprZy98A==")
+
+# Martinique coordinates (Fort-de-France area)
+BASE_LAT = 14.6091
+BASE_LON = -61.2155
+
+# Sensor types and their fields
+SENSOR_TYPES = {
+    "traffic": {
+        "fields": {"vehicle_count": (10, 150), "average_speed_kmh": (10, 80), "congestion_level": (0, 5)},
+        "locations": ["Carrefour Central", "Avenue des Caraïbes", "Boulevard Pasteur", "Rue des Flamboyants", "Place de la République"]
+    },
+    "airquality": {
+        "fields": {"pm25_ugm3": (5, 80), "pm10_ugm3": (10, 150), "no2_ugm3": (5, 60), "o3_ugm3": (20, 120)},
+        "locations": ["Quartier Bonde", "Port de Fort-de-France", "Château Denis", "Lamentin Aéroport"]
+    },
+    "parking": {
+        "fields": {"total_spots": (50, 500), "available_spots": (0, 500), "occupancy_percent": (0, 100)},
+        "locations": ["Parking Rivière-Salée", "Parking Cluny", "Parking Médoc", "Parking Grand-Camp"]
+    },
+}
+
+def main():
+    print("📈 Connecting to InfluxDB...")
+    client = influxdb_client.InfluxDBClient(url=INFLUX_URL, token=INFLUX_TOKEN, org=INFLUX_ORG)
+    write_api = client.write_api(write_options=SYNCHRONOUS)
+    
+    points = []
+    now = datetime.now(timezone.utc)
+    
+    print("📊 Generating sensor data for Martinique...")
+    
+    for stype, config in SENSOR_TYPES.items():
+        for i, location in enumerate(config["locations"]):
+            sid = f"{stype}_{i:03d}"
+            lat = BASE_LAT + random.uniform(-0.05, 0.05)
+            lon = BASE_LON + random.uniform(-0.05, 0.05)
+            
+            for field, (lo, hi) in config["fields"].items():
+                value = round(random.uniform(lo, hi), 1)
+                p = influxdb_client.Point(stype)\
+                    .tag("sensor_id", sid)\
+                    .tag("location", location)\
+                    .field(field, float(value))\
+                    .field("lat", lat)\
+                    .field("lon", lon)\
+                    .time(now)
+                points.append(p)
+    
+    print(f"📤 Writing {len(points)} points to bucket '{INFLUX_BUCKET}'...")
+    write_api.write(bucket=INFLUX_BUCKET, record=points)
+    print(f"✅ Done! {len(points)} points written.")
+    
+    client.close()
+
+if __name__ == "__main__":
+    main()