fix: Stabilisation complète Smart City Digital Twin Martinique
- Correction simulateur: nettoyage code FIWARE (erreurs syntaxe) - Grafana: dashboard complet 10 panneaux sur grafana.digitribe.fr - InfluxDB: datasource corrigée (bucket smartcity, org digitribe) - Nettoyage: suppression services FIWARE (Orion-LD, Stellio, QuantumLeap) - Pipeline validé: Simulator → 3 MQTT brokers → Telegraf → InfluxDB → Grafana - Dashboard URL: https://grafana.digitribe.fr/d/smartcity-martinique-complete/ Architecture simplifiée: - 3 MQTT brokers (EMQX, Mosquitto, BunkerM) - Telegraf pour agrégation - InfluxDB pour stockage time-series - Grafana pour visualisation (Traefik: grafana.digitribe.fr)
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Eric FELIXINE
257
create_dashboard_complete.py
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257
create_dashboard_complete.py
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#!/usr/bin/env python3
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import json
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import requests
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# UID de la datasource correcte
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DS_UID = "dd1bfc24-de9d-4c23-8a3c-151d153f8169"
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dashboard = {
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"annotations": {"list": []},
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"editable": True,
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"fiscalYearStartMonth": 0,
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"graphTooltip": 1,
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"id": None,
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"links": [],
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"panels": [
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# ===== AIR QUALITY =====
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{
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"title": "Air Quality - PM2.5 (µg/m³)",
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"type": "timeseries",
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"gridPos": {"h": 8, "w": 12, "x": 0, "y": 0},
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"datasource": {"type": "influxdb", "uid": DS_UID},
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"targets": [
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{
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"query": 'from(bucket:"smartcity")\n |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\n |> filter(fn: (r) => r["_measurement"] == "airquality")\n |> filter(fn: (r) => r["_field"] == "pm25_ugm3")\n |> aggregateWindow(every: v.windowPeriod, fn: mean, createEmpty: false)\n |> yield(name: "PM2.5")',
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"refId": "A"
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}
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],
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"fieldConfig": {
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"defaults": {
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"unit": "µg/m³",
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"thresholds": {
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"mode": "absolute",
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"steps": [
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{"color": "green", "value": None},
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{"color": "yellow", "value": 25},
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{"color": "orange", "value": 50},
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{"color": "red", "value": 100}
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]
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}
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}
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}
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},
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{
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"title": "Air Quality - CO (mg/m³)",
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"type": "timeseries",
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"gridPos": {"h": 8, "w": 12, "x": 12, "y": 0},
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"datasource": {"type": "influxdb", "uid": DS_UID},
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"targets": [
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{
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"query": 'from(bucket:"smartcity")\n |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\n |> filter(fn: (r) => r["_measurement"] == "airquality")\n |> filter(fn: (r) => r["_field"] == "co_mgm3")\n |> aggregateWindow(every: v.windowPeriod, fn: mean, createEmpty: false)\n |> yield(name: "CO")',
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"refId": "A"
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}
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],
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"fieldConfig": {
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"defaults": {
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"unit": "mg/m³",
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"thresholds": {
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"mode": "absolute",
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"steps": [
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{"color": "green", "value": None},
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{"color": "yellow", "value": 5},
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{"color": "red", "value": 15}
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]
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}
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}
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}
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},
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# ===== TRAFFIC =====
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{
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"title": "Traffic - Average Speed (km/h)",
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"type": "timeseries",
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"gridPos": {"h": 8, "w": 12, "x": 0, "y": 16},
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"datasource": {"type": "influxdb", "uid": DS_UID},
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"targets": [
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{
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"query": 'from(bucket:"smartcity")\n |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\n |> filter(fn: (r) => r["_measurement"] == "traffic")\n |> filter(fn: (r) => r["_field"] == "average_speed_kmh")\n |> aggregateWindow(every: v.windowPeriod, fn: mean, createEmpty: false)\n |> yield(name: "Speed")',
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"refId": "A"
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}
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],
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"fieldConfig": {
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"defaults": {
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"unit": "km/h",
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"thresholds": {
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"mode": "absolute",
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"steps": [
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{"color": "red", "value": None},
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{"color": "yellow", "value": 20},
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{"color": "green", "value": 40}
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]
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}
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}
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}
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},
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{
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"title": "Traffic - Congestion Level",
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"type": "timeseries",
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"gridPos": {"h": 8, "w": 12, "x": 12, "y": 16},
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"datasource": {"type": "influxdb", "uid": DS_UID},
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"targets": [
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{
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"query": 'from(bucket:"smartcity")\n |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\n |> filter(fn: (r) => r["_measurement"] == "traffic")\n |> filter(fn: (r) => r["_field"] == "congestion_level")\n |> aggregateWindow(every: v.windowPeriod, fn: mean, createEmpty: false)\n |> yield(name: "Congestion")',
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"refId": "A"
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}
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],
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"fieldConfig": {
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"defaults": {
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"unit": "",
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"min": 0,
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"max": 1,
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"thresholds": {
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"mode": "absolute",
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"steps": [
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{"color": "green", "value": None},
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{"color": "yellow", "value": 0.5},
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{"color": "red", "value": 0.8}
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]
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}
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}
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}
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},
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# ===== PARKING =====
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{
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"title": "Parking - Available Spots",
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"type": "timeseries",
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"gridPos": {"h": 8, "w": 12, "x": 0, "y": 32},
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"datasource": {"type": "influxdb", "uid": DS_UID},
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"targets": [
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{
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"query": 'from(bucket:"smartcity")\n |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\n |> filter(fn: (r) => r["_measurement"] == "parking")\n |> filter(fn: (r) => r["_field"] == "available_spots")\n |> aggregateWindow(every: v.windowPeriod, fn: mean, createEmpty: false)\n |> yield(name: "Available")',
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"refId": "A"
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}
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],
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"fieldConfig": {
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"defaults": {
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"unit": "spots"
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}
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}
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},
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{
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"title": "Parking - Occupancy (%)",
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"type": "timeseries",
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"gridPos": {"h": 8, "w": 12, "x": 12, "y": 32},
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"datasource": {"type": "influxdb", "uid": DS_UID},
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"targets": [
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{
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"query": 'from(bucket:"smartcity")\n |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\n |> filter(fn: (r) => r["_measurement"] == "parking")\n |> filter(fn: (r) => r["_field"] == "occupancy_percent")\n |> aggregateWindow(every: v.windowPeriod, fn: mean, createEmpty: false)\n |> yield(name: "Occupancy")',
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"refId": "A"
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}
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],
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"fieldConfig": {
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"defaults": {
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"unit": "percent",
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"min": 0,
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"max": 100
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}
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}
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},
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# ===== NOISE =====
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{
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"title": "Noise Level (dB)",
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"type": "timeseries",
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"gridPos": {"h": 8, "w": 12, "x": 0, "y": 48},
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"datasource": {"type": "influxdb", "uid": DS_UID},
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"targets": [
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{
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"query": 'from(bucket:"smartcity")\n |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\n |> filter(fn: (r) => r["_measurement"] == "noise")\n |> filter(fn: (r) => r["_field"] == "noise_level_db")\n |> aggregateWindow(every: v.windowPeriod, fn: mean, createEmpty: false)\n |> yield(name: "Noise")',
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"refId": "A"
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}
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],
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"fieldConfig": {
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"defaults": {
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"unit": "dB",
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"thresholds": {
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"mode": "absolute",
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"steps": [
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{"color": "green", "value": None},
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{"color": "yellow", "value": 65},
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{"color": "orange", "value": 80},
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{"color": "red", "value": 95}
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]
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}
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}
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}
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},
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# ===== WEATHER =====
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{
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"title": "Weather - Temperature (°C)",
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"type": "timeseries",
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"gridPos": {"h": 8, "w": 12, "x": 12, "y": 48},
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"datasource": {"type": "influxdb", "uid": DS_UID},
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"targets": [
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{
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"query": 'from(bucket:"smartcity")\n |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\n |> filter(fn: (r) => r["_measurement"] == "weather")\n |> filter(fn: (r) => r["_field"] == "temperature_celsius")\n |> aggregateWindow(every: v.windowPeriod, fn: mean, createEmpty: false)\n |> yield(name: "Temperature")',
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"refId": "A"
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}
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],
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"fieldConfig": {
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"defaults": {
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"unit": "°C"
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}
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}
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},
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# ===== LIGHT =====
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{
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"title": "Light - Brightness (lux)",
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"type": "timeseries",
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"gridPos": {"h": 8, "w": 12, "x": 0, "y": 64},
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"datasource": {"type": "influxdb", "uid": DS_UID},
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"targets": [
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{
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"query": 'from(bucket:"smartcity")\n |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\n |> filter(fn: (r) => r["_measurement"] == "light")\n |> filter(fn: (r) => r["_field"] == "brightness_lux")\n |> aggregateWindow(every: v.windowPeriod, fn: mean, createEmpty: false)\n |> yield(name: "Brightness")',
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"refId": "A"
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}
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],
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"fieldConfig": {
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"defaults": {
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"unit": "lux"
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}
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}
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},
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{
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"title": "Light - Power Consumption (W)",
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"type": "timeseries",
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"gridPos": {"h": 8, "w": 12, "x": 12, "y": 64},
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"datasource": {"type": "influxdb", "uid": DS_UID},
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"targets": [
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{
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"query": 'from(bucket:"smartcity")\n |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\n |> filter(fn: (r) => r["_measurement"] == "light")\n |> filter(fn: (r) => r["_field"] == "power_consumption_w")\n |> aggregateWindow(every: v.windowPeriod, fn: mean, createEmpty: false)\n |> yield(name: "Power")',
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"refId": "A"
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}
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],
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"fieldConfig": {
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"defaults": {
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"unit": "W"
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}
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}
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}
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],
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"schemaVersion": 38,
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"style": "dark",
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"tags": ["smart-city", "martinique", "iot", "complete"],
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"templating": {"list": []},
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"time": {"from": "now-1h", "to": "now"},
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"title": "Smart City Digital Twin - Martinique (COMPLET)",
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"uid": "smartcity-martinique-complete",
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"version": 1
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}
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# Sauvegarder localement
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with open('/home/eric/smart-city-digital-twin-martinique/grafana-dashboard-complete.json', 'w') as f:
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json.dump(dashboard, f, indent=2)
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print("✅ Dashboard complet généré")
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print(f" Fichier: grafana-dashboard-complete.json")
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print(f" UID: {dashboard['uid']}")
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print(f" Panneaux: {len(dashboard['panels'])}")
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print(f" Datasource: {DS_UID}")
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