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statistics.json
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statistics.json
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{
"annotations": {
"list": [
{
"builtIn": 1,
"datasource": "-- Grafana --",
"enable": true,
"hide": true,
"iconColor": "rgba(0, 211, 255, 1)",
"name": "Annotations & Alerts",
"target": {
"limit": 100,
"matchAny": false,
"tags": [],
"type": "dashboard"
},
"type": "dashboard"
}
]
},
"editable": true,
"fiscalYearStartMonth": 0,
"graphTooltip": 0,
"iteration": 1642773094880,
"links": [
{
"icon": "dashboard",
"tags": [],
"title": "TeslaMate",
"type": "link",
"url": "[[base_url:raw]]"
},
{
"asDropdown": true,
"icon": "external link",
"tags": [
"tesla"
],
"title": "Dashboards",
"type": "dashboards"
}
],
"liveNow": false,
"panels": [
{
"collapsed": false,
"datasource": "TeslaMate",
"gridPos": {
"h": 1,
"w": 24,
"x": 0,
"y": 0
},
"id": 4,
"panels": [],
"repeat": "car_id",
"title": "$car_id",
"type": "row"
},
{
"datasource": "TeslaMate",
"description": "",
"fieldConfig": {
"defaults": {
"custom": {
"align": "left",
"displayMode": "auto",
"filterable": false,
"width": 120
},
"mappings": [],
"noValue": "--",
"thresholds": {
"mode": "percentage",
"steps": [
{
"color": "red",
"value": null
},
{
"color": "#EAB839",
"value": 50
},
{
"color": "green",
"value": 90
}
]
}
},
"overrides": [
{
"matcher": {
"id": "byName",
"options": "Time driven"
},
"properties": [
{
"id": "unit",
"value": "clocks"
},
{
"id": "decimals",
"value": 1
}
]
},
{
"matcher": {
"id": "byName",
"options": "Period"
},
"properties": [
{
"id": "custom.width",
"value": 195
},
{
"id": "links",
"value": [
{
"targetBlank": true,
"title": "Trip",
"url": "d/FkUpJpQZk/trip?from=${__data.fields.date_from}&to=${__data.fields.date_to}&var-car_id=$car_id"
}
]
}
]
},
{
"matcher": {
"id": "byName",
"options": "Efficiency"
},
"properties": [
{
"id": "unit",
"value": "percentunit"
},
{
"id": "custom.displayMode",
"value": "color-text"
},
{
"id": "thresholds",
"value": {
"mode": "percentage",
"steps": [
{
"color": "super-light-orange",
"value": null
},
{
"color": "light-orange",
"value": 65
},
{
"color": "light-green",
"value": 99
}
]
}
},
{
"id": "max",
"value": 1
}
]
},
{
"matcher": {
"id": "byName",
"options": "Energy charged"
},
"properties": [
{
"id": "decimals",
"value": 1
},
{
"id": "links",
"value": [
{
"targetBlank": true,
"title": "Charging stats",
"url": "d/-pkIkhmRz/charging-stats?from=${__data.fields.date_from}&to=${__data.fields.date_to}&var-car_id=$car_id"
}
]
},
{
"id": "unit",
"value": "kwatth"
}
]
},
{
"matcher": {
"id": "byName",
"options": "Avg charged"
},
"properties": [
{
"id": "unit",
"value": "kwatth"
},
{
"id": "decimals",
"value": 1
}
]
},
{
"matcher": {
"id": "byName",
"options": "Costs"
},
"properties": [
{
"id": "decimals",
"value": 2
}
]
},
{
"matcher": {
"id": "byName",
"options": "# charges"
},
"properties": [
{
"id": "links",
"value": [
{
"targetBlank": true,
"title": "Charges",
"url": "d/TSmNYvRRk/charges?from=${__data.fields.date_from}&to=${__data.fields.date_to}&var-car_id=$car_id"
}
]
}
]
},
{
"matcher": {
"id": "byName",
"options": "# drives"
},
"properties": [
{
"id": "links",
"value": [
{
"targetBlank": true,
"title": "Drives",
"url": "d/Y8upc6ZRk/drives?from=${__data.fields.date_from}&to=${__data.fields.date_to}&var-car_id=$car_id"
}
]
}
]
},
{
"matcher": {
"id": "byRegexp",
"options": "/sum_distance_km/"
},
"properties": [
{
"id": "unit",
"value": "km"
},
{
"id": "displayName",
"value": "Distance"
}
]
},
{
"matcher": {
"id": "byRegexp",
"options": "/avg_outside_temp_c/"
},
"properties": [
{
"id": "unit",
"value": "celsius"
},
{
"id": "displayName",
"value": "Temperature"
},
{
"id": "custom.displayMode",
"value": "color-text"
},
{
"id": "thresholds",
"value": {
"mode": "absolute",
"steps": [
{
"color": "super-light-blue",
"value": null
},
{
"color": "super-light-green",
"value": 10
},
{
"color": "super-light-red",
"value": 20
}
]
}
}
]
},
{
"matcher": {
"id": "byRegexp",
"options": "/sum_distance_mi/"
},
"properties": [
{
"id": "displayName",
"value": "Distance"
},
{
"id": "unit",
"value": "mi"
}
]
},
{
"matcher": {
"id": "byRegexp",
"options": "/efficiency_net_mi/"
},
"properties": [
{
"id": "displayName",
"value": "Avg consumption (drives)"
},
{
"id": "unit",
"value": "Wh/mi"
},
{
"id": "custom.width"
}
]
},
{
"matcher": {
"id": "byRegexp",
"options": "/efficiency_charged_net_mi/"
},
"properties": [
{
"id": "displayName",
"value": "Avg consumption (charges)"
},
{
"id": "unit",
"value": "Wh/mi"
},
{
"id": "custom.width"
}
]
},
{
"matcher": {
"id": "byRegexp",
"options": "/.* at/"
},
"properties": [
{
"id": "unit",
"value": "dateTimeAsLocal"
},
{
"id": "custom.width"
}
]
},
{
"matcher": {
"id": "byRegexp",
"options": "/efficiency_net_km/"
},
"properties": [
{
"id": "displayName",
"value": "Avg consumption (drives)"
},
{
"id": "unit",
"value": "Wh/km"
},
{
"id": "custom.width"
}
]
},
{
"matcher": {
"id": "byRegexp",
"options": "/efficiency_charged_net_km/"
},
"properties": [
{
"id": "displayName",
"value": "Avg consumption (charges)"
},
{
"id": "unit",
"value": "Wh/km"
},
{
"id": "custom.width"
}
]
},
{
"matcher": {
"id": "byRegexp",
"options": "/avg_outside_temp_f/"
},
"properties": [
{
"id": "displayName",
"value": "Temperature"
},
{
"id": "unit",
"value": "fahrenheit"
}
]
},
{
"matcher": {
"id": "byName",
"options": "date_from"
},
"properties": [
{
"id": "custom.hidden",
"value": true
}
]
},
{
"matcher": {
"id": "byName",
"options": "date_to"
},
"properties": [
{
"id": "custom.hidden",
"value": true
}
]
},
{
"matcher": {
"id": "byName",
"options": "Avg cost per kWh"
},
"properties": [
{
"id": "custom.width",
"value": 137
}
]
}
]
},
"gridPos": {
"h": 18,
"w": 24,
"x": 0,
"y": 1
},
"id": 2,
"maxPerRow": 2,
"options": {
"footer": {
"fields": "",
"reducer": [
"sum"
],
"show": false
},
"frameIndex": 1,
"showHeader": true,
"sortBy": [
{
"desc": true,
"displayName": "Starting at"
}
]
},
"pluginVersion": "10.4.1",
"repeatDirection": "h",
"targets": [
{
"format": "table",
"group": [],
"metricColumn": "none",
"rawQuery": true,
"rawSql": "WITH data AS (\nSELECT\n duration_min > 1 AND\n distance > 1 AND\n ( \n start_position.usable_battery_level IS NULL OR\n (end_position.battery_level - end_position.usable_battery_level) = 0 \n ) AS is_sufficiently_precise,\n NULLIF(GREATEST(start_ideal_range_km - end_ideal_range_km, 0), 0) AS range_diff,\n date_trunc('$period', TIMEZONE('$__timezone', TIMEZONE('UTC', start_date))) as date,\n drives.*\nFROM drives\n LEFT JOIN positions start_position ON start_position_id = start_position.id\n LEFT JOIN positions end_position ON end_position_id = end_position.id)\nSELECT\n EXTRACT(EPOCH FROM TIMEZONE('$__timezone', date))*1000 AS date_from,\n EXTRACT(EPOCH FROM (TIMEZONE('$__timezone', date) + ('1 ' || '$period')::INTERVAL))*1000 AS date_to,\n CASE '$period'\n WHEN 'month' THEN to_char(date, 'YYYY Month')\n WHEN 'year' THEN to_char(date, 'YYYY')\n WHEN 'week' THEN 'week ' || to_char(date, 'WW') || ' starting ' || to_char(date, 'YYYY-MM-DD')\n ELSE to_char(date, 'YYYY-MM-DD')\n END AS display,\n TIMEZONE('$__timezone', date) AS date,\n sum(duration_min)*60 AS sum_duration_h, \n convert_km(max(end_km)::integer - min(start_km)::integer, '$length_unit') AS sum_distance_$length_unit,\n convert_celsius(avg(outside_temp_avg), '$temp_unit') AS avg_outside_temp_$temp_unit,\n count(*) AS cnt,\n sum(distance)/sum(range_diff) AS efficiency\nFROM data WHERE\n car_id = $car_id AND\n $__timeFilter(start_date)\nGROUP BY date\nORDER BY date",
"refId": "A",
"select": [
[
{
"params": [
"start_km"
],
"type": "column"
}
]
],
"table": "drives",
"timeColumn": "start_date",
"timeColumnType": "timestamp",
"where": [
{
"name": "$__timeFilter",
"params": [],
"type": "macro"
}
]
},
{
"format": "table",
"group": [],
"metricColumn": "none",
"rawQuery": true,
"rawSql": "WITH data AS (\n SELECT\n charging_processes.*,\n \tdate_trunc('$period', TIMEZONE('$__timezone', TIMEZONE('UTC', start_date))) as date\n FROM charging_processes)\nSELECT\n EXTRACT(EPOCH FROM TIMEZONE('$__timezone', date))*1000 AS date_from,\n EXTRACT(EPOCH FROM (TIMEZONE('$__timezone', date) + ('1 ' || '$period')::INTERVAL))*1000 AS date_to,\n CASE '$period'\n WHEN 'month' THEN to_char(date, 'YYYY Month')\n WHEN 'year' THEN to_char(date, 'YYYY')\n WHEN 'week' THEN 'week ' || to_char(date, 'WW') || ' starting ' || to_char(date, 'YYYY-MM-DD')\n ELSE to_char(date, 'YYYY-MM-DD')\n END AS display,\n TIMEZONE('$__timezone', date) AS date,\n sum(greatest(charge_energy_added,charge_energy_used)) AS sum_consumption_kwh,\n sum(greatest(charge_energy_added,charge_energy_used)) / count(*) AS avg_consumption_kwh,\n sum(cost) AS cost_charges,\n count(*) AS cnt_charges\nFROM data WHERE\n car_id = $car_id AND\n $__timeFilter(start_date) AND\n (charge_energy_added IS NULL OR charge_energy_added > 0.1)\nGROUP BY date\nORDER BY date",
"refId": "B",
"select": [
[
{
"params": [
"value"
],
"type": "column"
}
]
],
"timeColumn": "time",
"where": [
{
"name": "$__timeFilter",
"params": [],
"type": "macro"
}
]
},
{
"format": "table",
"group": [],
"hide": false,
"metricColumn": "none",
"rawQuery": true,
"rawSql": "WITH data AS (\n SELECT\n drives.*,\n date_trunc('$period', TIMEZONE('$__timezone', TIMEZONE('UTC', start_date))) as date\n FROM drives)\nSELECT\n EXTRACT(EPOCH FROM TIMEZONE('$__timezone', date))*1000 AS date_from,\n EXTRACT(EPOCH FROM (TIMEZONE('$__timezone', date) + ('1 ' || '$period')::INTERVAL))*1000 AS date_to,\n CASE '$period'\n WHEN 'month' THEN to_char(date, 'YYYY Month')\n WHEN 'year' THEN to_char(date, 'YYYY')\n WHEN 'week' THEN 'week ' || to_char(date, 'WW') || ' starting ' || to_char(date, 'YYYY-MM-DD')\n ELSE to_char(date, 'YYYY-MM-DD')\n END AS display,\n TIMEZONE('$__timezone', date) AS date,\n sum(GREATEST(start_[[preferred_range]]_range_km - end_[[preferred_range]]_range_km, 0) * car.efficiency * 1000) / \n convert_km(sum(distance)::numeric, '$length_unit') as efficiency_net_$length_unit\nFROM data\nJOIN cars car ON car.id = car_id\nWHERE\n car_id = $car_id AND\n $__timeFilter(start_date)\nGROUP BY date\nORDER BY date",
"refId": "C",
"select": [
[
{
"params": [
"value"
],
"type": "column"
}
]
],
"timeColumn": "time",
"where": [
{
"name": "$__timeFilter",
"params": [],
"type": "macro"
}
]
}
],
"title": "per ${period}",
"transformations": [
{
"id": "merge",
"options": {}
},
{
"id": "seriesToColumns",
"options": {
"byField": "date"
}
},
{
"id": "calculateField",
"options": {
"alias": "efficiency_charged_net_km_temp",
"binary": {
"left": "sum_consumption_kwh",
"operator": "/",
"reducer": "sum",
"right": "sum_distance_km"
},
"mode": "binary",
"reduce": {
"reducer": "sum"
},
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