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fix: Traefik routing OpenRemote/Ditto + QuantumLeap config (2026-05-08)

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Eric FELIXINE
2026-05-08 03:11:13 -04:00
parent dfaa240d5a
commit ae153c4e5e
16 changed files with 1224 additions and 2 deletions
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67
create_dashboard.py Normal file
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#!/usr/bin/env python3
import json
dashboard = {
"annotations": {"list": []},
"editable": True,
"fiscalYearStartMonth": 0,
"graphTooltip": 0,
"id": None,
"links": [],
"panels": [
{
"title": "Air Quality (PM2.5)",
"type": "timeseries",
"datasource": {"type": "influxdb", "uid": "influxdb-smartcity"},
"targets": [{"query": 'from(bucket:"smartcity") |> range(start: v.timeRangeStart, stop:v.timeRangeStop) |> filter(fn: (r) => r["_measurement"] == "airquality") |> filter(fn: (r) => r["_field"] == "pm25_ugm3") |> aggregateWindow(every: v.windowPeriod, fn: mean, createEmpty: false) |> yield(name: "mean")'}],
"gridPos": {"h": 8, "w": 12, "x": 0, "y": 0}
},
{
"title": "Traffic Flow (Vehicles)",
"type": "timeseries",
"datasource": {"type": "influxdb", "uid": "influxdb-smartcity"},
"targets": [{"query": 'from(bucket:"smartcity") |> range(start: v.timeRangeStart, stop:v.timeRangeStop) |> filter(fn: (r) => r["_measurement"] == "traffic") |> filter(fn: (r) => r["_field"] == "vehicle_count") |> aggregateWindow(every: v.windowPeriod, fn: mean, createEmpty: false) |> yield(name: "mean")'}],
"gridPos": {"h": 8, "w": 12, "x": 12, "y": 0}
},
{
"title": "Parking Occupancy (%)",
"type": "timeseries",
"datasource": {"type": "influxdb", "uid": "influxdb-smartcity"},
"targets": [{"query": 'from(bucket:"smartcity") |> range(start: v.timeRangeStart, stop:v.timeRangeStop) |> filter(fn: (r) => r["_measurement"] == "parking") |> filter(fn: (r) => r["_field"] == "occupancy_percent") |> aggregateWindow(every: v.windowPeriod, fn: mean, createEmpty: false) |> yield(name: "mean")'}],
"gridPos": {"h": 8, "w": 12, "x": 0, "y": 8}
},
{
"title": "Noise Levels (dB)",
"type": "timeseries",
"datasource": {"type": "influxdb", "uid": "influxdb-smartcity"},
"targets": [{"query": 'from(bucket:"smartcity") |> range(start: v.timeRangeStart, stop:v.timeRangeStop) |> filter(fn: (r) => r["_measurement"] == "noise") |> filter(fn: (r) => r["_field"] == "noise_level_db") |> aggregateWindow(every: v.windowPeriod, fn: mean, createEmpty: false) |> yield(name: "mean")'}],
"gridPos": {"h": 8, "w": 12, "x": 12, "y": 8}
},
{
"title": "Weather (Temperature °C)",
"type": "timeseries",
"datasource": {"type": "influxdb", "uid": "influxdb-smartcity"},
"targets": [{"query": 'from(bucket:"smartcity") |> range(start: v.timeRangeStart, stop:v.timeRangeStop) |> filter(fn: (r) => r["_measurement"] == "weather") |> filter(fn: (r) => r["_field"] == "temperature_c") |> aggregateWindow(every: v.windowPeriod, fn: mean, createEmpty: false) |> yield(name: "mean")'}],
"gridPos": {"h": 8, "w": 12, "x": 0, "y": 16}
},
{
"title": "Light Levels",
"type": "timeseries",
"datasource": {"type": "influxdb", "uid": "influxdb-smartcity"},
"targets": [{"query": 'from(bucket:"smartcity") |> range(start: v.timeRangeStart, stop:v.timeRangeStop) |> filter(fn: (r) => r["_measurement"] == "light") |> filter(fn: (r) => r["_field"] == "luminosity") |> aggregateWindow(every: v.windowPeriod, fn: mean, createEmpty: false) |> yield(name: "mean")'}],
"gridPos": {"h": 8, "w": 12, "x": 12, "y": 16}
}
],
"schemaVersion": 36,
"style": "dark",
"tags": ["smartcity", "martinique", "iot"],
"templating": {"list": []},
"time": {"from": "now-1h", "to": "now"},
"title": "Smart City Digital Twin - Martinique",
"uid": "smartcity-martinique-v2",
"version": 1
}
with open('/home/eric/smart-city-digital-twin-martinique/grafana-dashboard-smartcity.json', 'w') as f:
json.dump(dashboard, f, indent=2)
print("Dashboard JSON created successfully")