fix: Grafana dashboard 'no data' — datasource + Flux queries

- Fix datasource: bucket=smartcity, token=my-super-token, org=digitribe
- Fix dashboard queries: filter by topic tag instead of _measurement
  (all data in measurement 'mqtt_consumer', type in tag 'topic')
- Fix field names: temperature_c→temperature_celsius, luminosity→brightness_lux
- Update dashboard to v3 with 15 panels (airquality, traffic, parking, weather, noise, light)
- Update TODO.md and session_resume

Tested: PM2.5 , Temperature , Vehicle Count  via Grafana API
This commit is contained in:
Eric FELIXINE
2026-05-25 16:39:50 -04:00
parent 6d1d9c8620
commit 5bbd5a6e5d
6 changed files with 378 additions and 122 deletions

View File

@@ -3,14 +3,170 @@
"editable": true,
"fiscalYearStartMonth": 0,
"graphTooltip": 0,
"id": null,
"links": [],
"panels": [],
"panels": [
{
"title": "Air Quality — PM2.5 (µg/m³)",
"type": "timeseries",
"datasource": {"type": "influxdb", "name": "Influxdb-v2"},
"targets": [
{
"query": "from(bucket:\"smartcity\")\n |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\n |> filter(fn: (r) => r[\"topic\"] =~ /smartcity\\/airquality/)\n |> filter(fn: (r) => r[\"_field\"] == \"pm25_ugm3\")\n |> aggregateWindow(every: v.windowPeriod, fn: mean, createEmpty: false)\n |> yield(name: \"mean\")"
}
],
"gridPos": {"h": 8, "w": 12, "x": 0, "y": 0}
},
{
"title": "Air Quality — NO2 (µg/m³)",
"type": "timeseries",
"datasource": {"type": "influxdb", "name": "Influxdb-v2"},
"targets": [
{
"query": "from(bucket:\"smartcity\")\n |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\n |> filter(fn: (r) => r[\"topic\"] =~ /smartcity\\/airquality/)\n |> filter(fn: (r) => r[\"_field\"] == \"no2_ugm3\")\n |> aggregateWindow(every: v.windowPeriod, fn: mean, createEmpty: false)\n |> yield(name: \"mean\")"
}
],
"gridPos": {"h": 8, "w": 12, "x": 12, "y": 0}
},
{
"title": "Temperature (°C)",
"type": "timeseries",
"datasource": {"type": "influxdb", "name": "Influxdb-v2"},
"targets": [
{
"query": "from(bucket:\"smartcity\")\n |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\n |> filter(fn: (r) => r[\"topic\"] =~ /smartcity\\/weather/)\n |> filter(fn: (r) => r[\"_field\"] == \"temperature_celsius\")\n |> aggregateWindow(every: v.windowPeriod, fn: mean, createEmpty: false)\n |> yield(name: \"mean\")"
}
],
"gridPos": {"h": 8, "w": 12, "x": 0, "y": 8}
},
{
"title": "Humidity (%)",
"type": "timeseries",
"datasource": {"type": "influxdb", "name": "Influxdb-v2"},
"targets": [
{
"query": "from(bucket:\"smartcity\")\n |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\n |> filter(fn: (r) => r[\"topic\"] =~ /smartcity\\/weather/)\n |> filter(fn: (r) => r[\"_field\"] == \"humidity_percent\")\n |> aggregateWindow(every: v.windowPeriod, fn: mean, createEmpty: false)\n |> yield(name: \"mean\")"
}
],
"gridPos": {"h": 8, "w": 12, "x": 12, "y": 8}
},
{
"title": "Wind Speed (km/h)",
"type": "timeseries",
"datasource": {"type": "influxdb", "name": "Influxdb-v2"},
"targets": [
{
"query": "from(bucket:\"smartcity\")\n |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\n |> filter(fn: (r) => r[\"topic\"] =~ /smartcity\\/weather/)\n |> filter(fn: (r) => r[\"_field\"] == \"wind_speed_kmh\")\n |> aggregateWindow(every: v.windowPeriod, fn: mean, createEmpty: false)\n |> yield(name: \"mean\")"
}
],
"gridPos": {"h": 8, "w": 12, "x": 0, "y": 16}
},
{
"title": "Rain (mm)",
"type": "timeseries",
"datasource": {"type": "influxdb", "name": "Influxdb-v2"},
"targets": [
{
"query": "from(bucket:\"smartcity\")\n |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\n |> filter(fn: (r) => r[\"topic\"] =~ /smartcity\\/weather/)\n |> filter(fn: (r) => r[\"_field\"] == \"rain_mm\")\n |> aggregateWindow(every: v.windowPeriod, fn: mean, createEmpty: false)\n |> yield(name: \"mean\")"
}
],
"gridPos": {"h": 8, "w": 12, "x": 12, "y": 16}
},
{
"title": "Traffic — Vehicle Count",
"type": "timeseries",
"datasource": {"type": "influxdb", "name": "Influxdb-v2"},
"targets": [
{
"query": "from(bucket:\"smartcity\")\n |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\n |> filter(fn: (r) => r[\"topic\"] =~ /smartcity\\/traffic/)\n |> filter(fn: (r) => r[\"_field\"] == \"vehicle_count\")\n |> aggregateWindow(every: v.windowPeriod, fn: mean, createEmpty: false)\n |> yield(name: \"mean\")"
}
],
"gridPos": {"h": 8, "w": 12, "x": 0, "y": 24}
},
{
"title": "Traffic — Avg Speed (km/h)",
"type": "timeseries",
"datasource": {"type": "influxdb", "name": "Influxdb-v2"},
"targets": [
{
"query": "from(bucket:\"smartcity\")\n |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\n |> filter(fn: (r) => r[\"topic\"] =~ /smartcity\\/traffic/)\n |> filter(fn: (r) => r[\"_field\"] == \"average_speed_kmh\")\n |> aggregateWindow(every: v.windowPeriod, fn: mean, createEmpty: false)\n |> yield(name: \"mean\")"
}
],
"gridPos": {"h": 8, "w": 12, "x": 12, "y": 24}
},
{
"title": "Parking — Available Spots",
"type": "timeseries",
"datasource": {"type": "influxdb", "name": "Influxdb-v2"},
"targets": [
{
"query": "from(bucket:\"smartcity\")\n |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\n |> filter(fn: (r) => r[\"topic\"] =~ /smartcity\\/parking/)\n |> filter(fn: (r) => r[\"_field\"] == \"available_spots\")\n |> aggregateWindow(every: v.windowPeriod, fn: mean, createEmpty: false)\n |> yield(name: \"mean\")"
}
],
"gridPos": {"h": 8, "w": 12, "x": 0, "y": 32}
},
{
"title": "Parking — Occupancy (%)",
"type": "timeseries",
"datasource": {"type": "influxdb", "name": "Influxdb-v2"},
"targets": [
{
"query": "from(bucket:\"smartcity\")\n |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\n |> filter(fn: (r) => r[\"topic\"] =~ /smartcity\\/parking/)\n |> filter(fn: (r) => r[\"_field\"] == \"occupancy_percent\")\n |> aggregateWindow(every: v.windowPeriod, fn: mean, createEmpty: false)\n |> yield(name: \"mean\")"
}
],
"gridPos": {"h": 8, "w": 12, "x": 12, "y": 32}
},
{
"title": "Noise Level (dB)",
"type": "timeseries",
"datasource": {"type": "influxdb", "name": "Influxdb-v2"},
"targets": [
{
"query": "from(bucket:\"smartcity\")\n |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\n |> filter(fn: (r) => r[\"topic\"] =~ /smartcity\\/noise/)\n |> filter(fn: (r) => r[\"_field\"] == \"noise_level_db\")\n |> aggregateWindow(every: v.windowPeriod, fn: mean, createEmpty: false)\n |> yield(name: \"mean\")"
}
],
"gridPos": {"h": 8, "w": 12, "x": 0, "y": 40}
},
{
"title": "Light — Brightness (lux)",
"type": "timeseries",
"datasource": {"type": "influxdb", "name": "Influxdb-v2"},
"targets": [
{
"query": "from(bucket:\"smartcity\")\n |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\n |> filter(fn: (r) => r[\"topic\"] =~ /smartcity\\/light/)\n |> filter(fn: (r) => r[\"_field\"] == \"brightness_lux\")\n |> aggregateWindow(every: v.windowPeriod, fn: mean, createEmpty: false)\n |> yield(name: \"mean\")"
}
],
"gridPos": {"h": 8, "w": 12, "x": 12, "y": 40}
},
{
"title": "UV Index",
"type": "timeseries",
"datasource": {"type": "influxdb", "name": "Influxdb-v2"},
"targets": [
{
"query": "from(bucket:\"smartcity\")\n |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\n |> filter(fn: (r) => r[\"topic\"] =~ /smartcity\\/weather/)\n |> filter(fn: (r) => r[\"_field\"] == \"uv_index\")\n |> aggregateWindow(every: v.windowPeriod, fn: mean, createEmpty: false)\n |> yield(name: \"mean\")"
}
],
"gridPos": {"h": 8, "w": 12, "x": 0, "y": 48}
},
{
"title": "Pressure (hPa)",
"type": "timeseries",
"datasource": {"type": "influxdb", "name": "Influxdb-v2"},
"targets": [
{
"query": "from(bucket:\"smartcity\")\n |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\n |> filter(fn: (r) => r[\"topic\"] =~ /smartcity\\/weather/)\n |> filter(fn: (r) => r[\"_field\"] == \"pressure_hpa\")\n |> aggregateWindow(every: v.windowPeriod, fn: mean, createEmpty: false)\n |> yield(name: \"mean\")"
}
],
"gridPos": {"h": 8, "w": 12, "x": 12, "y": 48}
}
],
"schemaVersion": 36,
"style": "dark",
"tags": ["smart-city"],
"tags": ["smartcity", "martinique", "iot"],
"templating": {"list": []},
"time": {"from": "now-24h", "to": "now"},
"title": "Smart City Dashboards",
"timezone": "Americas/Martinique",
"uid": "smart-city-dashboards"
"time": {"from": "now-1h", "to": "now"},
"title": "Smart City Digital Twin — Martinique",
"uid": "smartcity-martinique-v2",
"version": 2
}

View File

@@ -1,9 +1,8 @@
# Grafana datasources - Smart City Digital Twin Martinique
# Each datasource is editable and uses the container DNS name in smartcity-shared network
apiVersion: 1
datasources:
# ── InfluxDB v2 (time-series IoT data) ──────────────────────────────────────
# InfluxDB v2 (time-series IoT data)
- name: InfluxDB-v2
type: influxdb
access: proxy
@@ -13,12 +12,12 @@ datasources:
jsonData:
version: Flux
organization: digitribe
defaultBucket: iot_data
defaultBucket: smartcity
tlsSkipVerify: true
secureJsonData:
token: my-super-secret-admin-token
token: my-super-token
# ── FIWARE Orion-LD (NGSI-LD context broker) ────────────────────────────────
# Requires grafana-simple-json-datasource plugin
# FIWARE Orion-LD
- name: FIWARE Orion
type: grafana-simple-json-datasource
access: proxy
@@ -28,8 +27,7 @@ datasources:
queryURLTemplate: "/ngsi-ld/v1/entities?type={{type}}"
method: GET
# ── GeoServer WMS (spatial data) ────────────────────────────────────────────
# GeoServer is an external service reachable via its container name
# GeoServer WMS
- name: GeoServer WMS
type: grafana-simple-json-datasource
access: proxy
@@ -39,8 +37,7 @@ datasources:
queryURLTemplate: "/geoserver/wfs?service=WFS&version=2.0&request=GetFeature&typeName={{type}}"
method: GET
# ── FROST-Server (SensorThings API) ──────────────────────────────────────────
# Requires grafana-simple-json-datasource plugin
# FROST-Server
- name: FROST-Server
type: grafana-simple-json-datasource
access: proxy