Fix simulator (use FM client), install entsoe+weather plugins, fix Redis
- Simulator rewritten to use flexmeasures_client (works!) - flexmeasures-entsoe installed (ENTSO-E data import) - flexmeasures-weather installed (weather data) - FlexMeasures Redis connection fixed (DNS resolution) - Dashboard Grafana updated with Cariflex asset types - Simulator running in background, posting to 40 sensors TODO: - S2 CEM deployment - Scheduler FlexMeasures - Logo Cariflex in FM UI
This commit is contained in:
Eric F
@@ -10,123 +10,79 @@
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"panels": [
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{
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"id": 1,
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"title": "Capteurs Air Quality (10)",
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"title": "Production PV (kW) - 10 panneaux",
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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": "influxdb-v2"},
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"targets": [{
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"query": "from(bucket:\"smartcity\") |> range(start: v.timeRangeStart, stop: v.timeRangeStop) |> filter(fn: (r) => r[\"_measurement\"] == \"mqtt_consumer\") |> filter(fn: (r) => r[\"topic\"] =~ /airquality/) |> aggregateWindow(every: v.windowPeriod, fn: mean, createEmpty: false)",
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"query": "from(bucket:\"smartcity\") |> range(start: v.timeRangeStart, stop: v.timeRangeStop) |> filter(fn: (r) => r[\"_measurement\"] == \"mqtt_consumer\") |> filter(fn: (r) => r[\"topic\"] =~ /pv_/) |> aggregateWindow(every: v.windowPeriod, fn: mean, createEmpty: false)",
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"refId": "A"
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}],
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"fieldConfig": {
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"defaults": {"unit": "none"},
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"overrides": []
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}
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"fieldConfig": {"defaults": {"unit": "kW", "min": 0, "max": 50}}
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},
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{
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"id": 2,
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"title": "Capteurs Weather (10)",
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"title": "Consommation Bornes VE (kW) - 10 bornes",
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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": "influxdb-v2"},
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"targets": [{
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"query": "from(bucket:\"smartcity\") |> range(start: v.timeRangeStart, stop: v.timeRangeStop) |> filter(fn: (r) => r[\"_measurement\"] == \"mqtt_consumer\") |> filter(fn: (r) => r[\"topic\"] =~ /weather/) |> aggregateWindow(every: v.windowPeriod, fn: mean, createEmpty: false)",
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"query": "from(bucket:\"smartcity\") |> range(start: v.timeRangeStart, stop: v.timeRangeStop) |> filter(fn: (r) => r[\"_measurement\"] == \"mqtt_consumer\") |> filter(fn: (r) => r[\"topic\"] =~ /chg_/) |> aggregateWindow(every: v.windowPeriod, fn: mean, createEmpty: false)",
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"refId": "A"
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}],
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"fieldConfig": {
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"defaults": {"unit": "celsius", "min": 15, "max": 40},
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"overrides": []
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}
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"fieldConfig": {"defaults": {"unit": "kW", "min": 0, "max": 220}}
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},
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{
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"id": 3,
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"title": "Capteurs Traffic (10)",
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"type": "timeseries",
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"gridPos": {"h": 8, "w": 12, "x": 0, "y": 8},
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"title": "Batteries - État de Charge (kWh) - 10 batteries",
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"type": "gauge",
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"gridPos": {"h": 8, "w": 8, "x": 0, "y": 8},
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"datasource": {"type": "influxdb", "uid": "influxdb-v2"},
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"targets": [{
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"query": "from(bucket:\"smartcity\") |> range(start: v.timeRangeStart, stop: v.timeRangeStop) |> filter(fn: (r) => r[\"_measurement\"] == \"mqtt_consumer\") |> filter(fn: (r) => r[\"topic\"] =~ /traffic/) |> aggregateWindow(every: v.windowPeriod, fn: mean, createEmpty: false)",
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"query": "from(bucket:\"smartcity\") |> range(start: -5m) |> filter(fn: (r) => r[\"_measurement\"] == \"mqtt_consumer\") |> filter(fn: (r) => r[\"topic\"] =~ /bat_/) |> mean()",
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"refId": "A"
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}],
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"fieldConfig": {
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"defaults": {"unit": "kmh", "min": 0, "max": 100},
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"overrides": []
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"defaults": {"unit": "kWh", "min": 0, "max": 100, "thresholds": {"steps": [{"color": "red", "value": 0}, {"color": "yellow", "value": 20}, {"color": "green", "value": 50}]}}
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}
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},
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{
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"id": 4,
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"title": "Capteurs Parking (10)",
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"type": "timeseries",
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"gridPos": {"h": 8, "w": 12, "x": 12, "y": 8},
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"title": "VE V2G - État de Charge (kWh) - 10 véhicules",
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"type": "gauge",
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"gridPos": {"h": 8, "w": 8, "x": 8, "y": 8},
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"datasource": {"type": "influxdb", "uid": "influxdb-v2"},
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"targets": [{
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"query": "from(bucket:\"smartcity\") |> range(start: v.timeRangeStart, stop: v.timeRangeStop) |> filter(fn: (r) => r[\"_measurement\"] == \"mqtt_consumer\") |> filter(fn: (r) => r[\"topic\"] =~ /parking/) |> aggregateWindow(every: v.windowPeriod, fn: mean, createEmpty: false)",
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"query": "from(bucket:\"smartcity\") |> range(start: -5m) |> filter(fn: (r) => r[\"_measurement\"] == \"mqtt_consumer\") |> filter(fn: (r) => r[\"topic\"] =~ /ev_/) |> mean()",
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"refId": "A"
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}],
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"fieldConfig": {
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"defaults": {"unit": "percent", "min": 0, "max": 100},
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"overrides": []
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"defaults": {"unit": "kWh", "min": 0, "max": 75, "thresholds": {"steps": [{"color": "red", "value": 0}, {"color": "yellow", "value": 15}, {"color": "green", "value": 40}]}}
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}
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},
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{
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"id": 5,
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"title": "Battery Level (tous capteurs)",
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"type": "gauge",
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"gridPos": {"h": 6, "w": 6, "x": 0, "y": 16},
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"title": "Flexibilité Disponible (kW)",
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"type": "stat",
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"gridPos": {"h": 8, "w": 8, "x": 16, "y": 8},
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"datasource": {"type": "influxdb", "uid": "influxdb-v2"},
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"targets": [{
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"query": "from(bucket:\"smartcity\") |> range(start: -5m) |> filter(fn: (r) => r[\"_measurement\"] == \"mqtt_consumer\") |> filter(fn: (r) => r[\"_field\"] == \"battery_level\") |> mean()",
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"query": "from(bucket:\"smartcity\") |> range(start: -5m) |> filter(fn: (r) => r[\"_measurement\"] == \"mqtt_consumer\") |> filter(fn: (r) => r[\"topic\"] =~ /bat_|ev_/) |> mean()",
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"refId": "A"
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}],
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"fieldConfig": {
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"defaults": {"unit": "percent", "min": 0, "max": 100, "thresholds": {"steps": [{"color": "red", "value": 0}, {"color": "yellow", "value": 20}, {"color": "green", "value": 50}]}},
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"overrides": []
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}
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"fieldConfig": {"defaults": {"unit": "kW", "min": 0}}
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},
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{
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"id": 6,
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"title": "Temperature (°C)",
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"type": "stat",
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"gridPos": {"h": 6, "w": 6, "x": 6, "y": 16},
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"datasource": {"type": "influxdb", "uid": "influxdb-v2"},
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"title": "Carte des Actifs Cariflex",
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"type": "geomap",
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"gridPos": {"h": 10, "w": 24, "x": 0, "y": 16},
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"datasource": {"type": "postgres", "uid": "PostgreSQL-SmartCity"},
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"targets": [{
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"query": "from(bucket:\"smartcity\") |> range(start: -5m) |> filter(fn: (r) => r[\"_measurement\"] == \"mqtt_consumer\") |> filter(fn: (r) => r[\"_field\"] == \"temperature_celsius\") |> mean()",
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"rawSql": "SELECT g.name, g.latitude, g.longitude, gt.name as type FROM generic_asset g JOIN generic_asset_type gt ON g.generic_asset_type_id = gt.id WHERE g.account_id = 1 ORDER BY gt.id, g.id",
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"refId": "A"
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}],
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"fieldConfig": {
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"defaults": {"unit": "celsius", "min": 15, "max": 40},
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"overrides": []
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}
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},
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{
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"id": 7,
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"title": "Noise Level (dB)",
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"type": "stat",
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"gridPos": {"h": 6, "w": 6, "x": 12, "y": 16},
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"datasource": {"type": "influxdb", "uid": "influxdb-v2"},
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"targets": [{
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"query": "from(bucket:\"smartcity\") |> range(start: -5m) |> filter(fn: (r) => r[\"_measurement\"] == \"mqtt_consumer\") |> filter(fn: (r) => r[\"_field\"] == \"noise_level_db\") |> mean()",
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"refId": "A"
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}],
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"fieldConfig": {
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"defaults": {"unit": "dB", "min": 0, "max": 120},
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"overrides": []
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}
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},
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{
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"id": 8,
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"title": "Rain (mm)",
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"type": "stat",
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"gridPos": {"h": 6, "w": 6, "x": 18, "y": 16},
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"datasource": {"type": "influxdb", "uid": "influxdb-v2"},
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"targets": [{
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"query": "from(bucket:\"smartcity\") |> range(start: -1h) |> filter(fn: (r) => r[\"_measurement\"] == \"mqtt_consumer\") |> filter(fn: (r) => r[\"_field\"] == \"rain_mm\") |> sum()",
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"refId": "A"
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}],
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"fieldConfig": {
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"defaults": {"unit": "mm", "min": 0},
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"overrides": []
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}
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"options": {"view": {"center": [14.6, -61.2], "zoom": 10}}
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}
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]
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},
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