3434 lines
133 KiB
JSON
3434 lines
133 KiB
JSON
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{
|
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"name": "$__timeFilter",
|
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|
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"type": "macro"
|
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}
|
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]
|
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}
|
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],
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"title": "Main locations",
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{
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"rawSql": "WITH data AS (\n SELECT\n\t\tcp.id,\n\t\tcp.charge_energy_used,\n\t\tCASE WHEN NULLIF(mode() within group (order by charger_phases),0) is null THEN 'DC'\n\t\t\t\t ELSE 'AC'\n\t\tEND AS current\n\tFROM charging_processes cp\n RIGHT JOIN charges ON cp.id = charges.charging_process_id\n WHERE\n\t cp.car_id = $car_id\n\t AND cp.charge_energy_used > 0.01\n\t AND $__timeFilter(start_date)\n GROUP BY 1,2\n)\nSELECT\n\tnow() AS time,\n\tsum(charge_energy_used) AS value,\n\tcurrent AS metric\nFROM data\nGROUP BY 3\nORDER BY metric DESC;",
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{
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"params": ["latitude"],
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{
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}
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{
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"name": "$__timeFilter",
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}
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]
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}
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],
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"title": "Added at $geofence",
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{
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{
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},
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{
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},
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"format": "table",
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"group": [],
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"metricColumn": "none",
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"rawQuery": true,
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"rawSql": "WITH free_energy AS (\r\nSELECT sum(charge_energy_used) AS free_charged_kWh\r\nFROM charging_processes\r\nWHERE\r\n\t$__timeFilter(end_date)\r\n\tAND car_id = $car_id\r\n\tAND cost = 0),\r\nenergy as(\r\nSELECT\r\n\tsum(charge_energy_used) AS charged_kWh\r\nFROM\r\n\tcharging_processes\r\nWHERE\r\n\t$__timeFilter(end_date)\r\n\tAND car_id = $car_id\r\n)\r\nSELECT ($distance_driven * free_energy.free_charged_kWh / energy.charged_kWh) as \"distance_$length_unit\" FROM energy, free_energy",
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{
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"type": "macro"
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}
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|
]
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}
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],
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"title": "Added free (no cost)",
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{
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{
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"format": "table",
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"group": [],
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"metricColumn": "none",
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"rawQuery": true,
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"rawSql": "WITH suc_data AS (\r\n\tSELECT c.charging_process_id\r\n\tFROM charges c\r\n\tLEFT JOIN charging_processes cp ON cp.id = c.charging_process_id\r\n\tLEFT JOIN addresses addr ON addr.id = cp.address_id\r\n\tLEFT JOIN geofences geo ON geo.id = geofence_id\r\n\tWHERE \r\n cp.car_id = $car_id AND c.fast_charger_present\r\n\t\tAND COALESCE(geo.name, CONCAT_WS(', ', COALESCE(addr.name, nullif(CONCAT_WS(' ', addr.display_name), '')))) ILIKE '%supercharger%'\r\n AND $__timeFilter(end_date)\r\n\tGROUP BY 1\r\n), suc_energy AS (\r\n SELECT coalesce(sum(charge_energy_used), 0) AS charged_kWh\r\n FROM charging_processes cp\r\n INNER JOIN suc_data ON suc_data.charging_process_id = cp.id\r\n), energy AS(\r\n SELECT\r\n\t sum(charge_energy_used) AS charged_kWh\r\n FROM charging_processes\r\n WHERE $__timeFilter(end_date)\tAND car_id = $car_id\r\n)\r\nSELECT ($distance_driven * suc_energy.charged_kWh / energy.charged_kWh) as \"distance_$length_unit\" FROM energy, suc_energy;\r\n",
|
|
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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": "Added at SuC",
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"rawSql": "SELECT $distance_driven as \"distance_$length_unit\"",
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"refId": "A",
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"select": [
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[
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{
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|
|
"id": 58,
|
|
"maxPerRow": 2,
|
|
"options": {
|
|
"cellHeight": "sm",
|
|
"footer": {
|
|
"countRows": false,
|
|
"enablePagination": true,
|
|
"fields": "",
|
|
"reducer": ["sum"],
|
|
"show": false
|
|
},
|
|
"frameIndex": 1,
|
|
"showHeader": true,
|
|
"sortBy": []
|
|
},
|
|
"pluginVersion": "10.4.0",
|
|
"repeatDirection": "h",
|
|
"targets": [
|
|
{
|
|
"datasource": {
|
|
"type": "grafana-postgresql-datasource",
|
|
"uid": "TeslaMate"
|
|
},
|
|
"format": "table",
|
|
"group": [],
|
|
"hide": false,
|
|
"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('month', (start_date::TIMESTAMP WITHOUT TIME ZONE) AT TIME ZONE '$timezone') as local_period,\n drives.*\nFROM drives\n LEFT JOIN positions start_position ON start_position_id = start_position.id\n LEFT JOIN positions end_position ON end_position_id = end_position.id)\nSELECT\n EXTRACT(EPOCH FROM date_trunc('month', local_period))*1000 AS date_from,\n EXTRACT(EPOCH FROM date_trunc('month', local_period + ('1 ' || 'month')::INTERVAL))*1000 AS date_to,\n CASE 'month'\n WHEN 'month' THEN to_char(local_period, 'YYYY Month')\n WHEN 'year' THEN to_char(local_period, 'YYYY')\n WHEN 'week' THEN 'week ' || to_char(local_period, 'WW') || ' starting ' || to_char(local_period, 'YYYY-MM-DD')\n ELSE to_char(local_period, 'YYYY-MM-DD')\n END AS display,\n local_period AS date,\n convert_km(max(end_km)::integer - min(start_km)::integer, '$length_unit') AS sum_distance_$length_unit,\n convert_celsius(avg(outside_temp_avg), '$temp_unit') AS avg_outside_temp_$temp_unit,\n sum(distance)/sum(range_diff) AS efficiency\nFROM data WHERE\n car_id = $car_id\nGROUP BY date\nORDER BY date DESC",
|
|
"refId": "A",
|
|
"select": [
|
|
[
|
|
{
|
|
"params": ["start_km"],
|
|
"type": "column"
|
|
}
|
|
]
|
|
],
|
|
"table": "drives",
|
|
"timeColumn": "start_date",
|
|
"timeColumnType": "timestamp",
|
|
"where": [
|
|
{
|
|
"name": "$__timeFilter",
|
|
"params": [],
|
|
"type": "macro"
|
|
}
|
|
]
|
|
},
|
|
{
|
|
"datasource": {
|
|
"type": "grafana-postgresql-datasource",
|
|
"uid": "TeslaMate"
|
|
},
|
|
"format": "table",
|
|
"group": [],
|
|
"hide": false,
|
|
"metricColumn": "none",
|
|
"rawQuery": true,
|
|
"rawSql": "WITH data AS (\n SELECT\n charging_processes.*,\n date_trunc('month', (start_date::TIMESTAMP WITHOUT TIME ZONE) AT TIME ZONE '$timezone') as local_period\n FROM charging_processes)\nSELECT\n EXTRACT(EPOCH FROM date_trunc('month', local_period))*1000 AS date_from,\n EXTRACT(EPOCH FROM date_trunc('month', local_period + ('1 ' || 'month')::INTERVAL))*1000 AS date_to,\n CASE 'month'\n WHEN 'month' THEN to_char(local_period, 'YYYY Month')\n WHEN 'year' THEN to_char(local_period, 'YYYY')\n WHEN 'week' THEN 'week ' || to_char(local_period, 'WW') || ' starting ' || to_char(local_period, 'YYYY-MM-DD')\n ELSE to_char(local_period, 'YYYY-MM-DD')\n END AS display,\n local_period AS date,\n sum(greatest(charge_energy_used,charge_energy_used)) AS sum_consumption_kwh,\n sum(greatest(charge_energy_used,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 = $car_id AND\n (charge_energy_used IS NULL OR charge_energy_used > 0.1)\nGROUP BY date\nORDER BY date",
|
|
"refId": "B",
|
|
"select": [
|
|
[
|
|
{
|
|
"params": ["value"],
|
|
"type": "column"
|
|
}
|
|
]
|
|
],
|
|
"timeColumn": "time",
|
|
"where": [
|
|
{
|
|
"name": "$__timeFilter",
|
|
"params": [],
|
|
"type": "macro"
|
|
}
|
|
]
|
|
},
|
|
{
|
|
"datasource": {
|
|
"type": "grafana-postgresql-datasource",
|
|
"uid": "TeslaMate"
|
|
},
|
|
"format": "table",
|
|
"group": [],
|
|
"hide": false,
|
|
"metricColumn": "none",
|
|
"rawQuery": true,
|
|
"rawSql": "WITH data AS (\n SELECT\n drives.*,\n date_trunc('month', (start_date::TIMESTAMP WITHOUT TIME ZONE) AT TIME ZONE '$timezone') as local_period\n FROM drives)\nSELECT\n EXTRACT(EPOCH FROM date_trunc('month', local_period))*1000 AS date_from,\n EXTRACT(EPOCH FROM date_trunc('month', local_period + ('1 ' || 'month')::INTERVAL))*1000 AS date_to,\n CASE 'month'\n WHEN 'month' THEN to_char(local_period, 'YYYY Month')\n WHEN 'year' THEN to_char(local_period, 'YYYY')\n WHEN 'week' THEN 'week ' || to_char(local_period, 'WW') || ' starting ' || to_char(local_period, 'YYYY-MM-DD')\n ELSE to_char(local_period, 'YYYY-MM-DD')\n END AS display,\n local_period AS date,\n sum(GREATEST(start_[[preferred_range]]_range_km - end_[[preferred_range]]_range_km, 0) * car.efficiency * 1000) / \n convert_km(sum(distance)::numeric, '$length_unit') as efficiency_net_$length_unit\nFROM data\nJOIN cars car ON car.id = car_id\nWHERE\n car_id = $car_id\nGROUP BY date\nORDER BY date",
|
|
"refId": "C",
|
|
"select": [
|
|
[
|
|
{
|
|
"params": ["value"],
|
|
"type": "column"
|
|
}
|
|
]
|
|
],
|
|
"timeColumn": "time",
|
|
"where": [
|
|
{
|
|
"name": "$__timeFilter",
|
|
"params": [],
|
|
"type": "macro"
|
|
}
|
|
]
|
|
}
|
|
],
|
|
"title": "Stats per month",
|
|
"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"
|
|
},
|
|
"replaceFields": false
|
|
}
|
|
},
|
|
{
|
|
"id": "calculateField",
|
|
"options": {
|
|
"alias": "efficiency_charged_net_km",
|
|
"binary": {
|
|
"left": "efficiency_charged_net_km_temp",
|
|
"operator": "*",
|
|
"reducer": "sum",
|
|
"right": "1000"
|
|
},
|
|
"mode": "binary",
|
|
"reduce": {
|
|
"reducer": "sum"
|
|
}
|
|
}
|
|
},
|
|
{
|
|
"id": "calculateField",
|
|
"options": {
|
|
"alias": "efficiency_charged_net_mi_temp",
|
|
"binary": {
|
|
"left": "sum_consumption_kwh",
|
|
"operator": "/",
|
|
"reducer": "sum",
|
|
"right": "sum_distance_mi"
|
|
},
|
|
"mode": "binary",
|
|
"reduce": {
|
|
"reducer": "sum"
|
|
},
|
|
"replaceFields": false
|
|
}
|
|
},
|
|
{
|
|
"id": "calculateField",
|
|
"options": {
|
|
"alias": "efficiency_charged_net_mi",
|
|
"binary": {
|
|
"left": "efficiency_charged_net_mi_temp",
|
|
"operator": "*",
|
|
"reducer": "sum",
|
|
"right": "1000"
|
|
},
|
|
"mode": "binary",
|
|
"reduce": {
|
|
"reducer": "sum"
|
|
}
|
|
}
|
|
},
|
|
{
|
|
"id": "organize",
|
|
"options": {
|
|
"excludeByName": {
|
|
"date": true,
|
|
"date_from": false,
|
|
"date_to": false,
|
|
"efficiency_charged_net_km_temp": true,
|
|
"efficiency_charged_net_mi_temp": true,
|
|
"timezone": true
|
|
},
|
|
"indexByName": {
|
|
"avg_consumption_kwh": 8,
|
|
"avg_outside_temp_c": 3,
|
|
"avg_outside_temp_f": 3,
|
|
"cnt_charges": 7,
|
|
"cost_charges": 5,
|
|
"date": 1,
|
|
"date_from": 11,
|
|
"date_to": 12,
|
|
"display": 0,
|
|
"efficiency": 4,
|
|
"efficiency_charged_net_km": 10,
|
|
"efficiency_charged_net_km_temp": 13,
|
|
"efficiency_net_km": 9,
|
|
"sum_consumption_kwh": 6,
|
|
"sum_distance_km": 2,
|
|
"sum_distance_mi": 2
|
|
},
|
|
"renameByName": {
|
|
"avg_consumption_kwh": "Avg charged",
|
|
"avg_outside_temp_c": "",
|
|
"cnt": "# drives",
|
|
"cnt_charges": "# charges",
|
|
"cost_charges": "Costs",
|
|
"date": "Starting at",
|
|
"date_from": "",
|
|
"date_to": "",
|
|
"display": "Period",
|
|
"efficiency": "Efficiency",
|
|
"efficiency_net_km": "",
|
|
"sum_consumption_kwh": "Energy used",
|
|
"sum_distance_km": "",
|
|
"sum_duration_h": "Time driven"
|
|
}
|
|
}
|
|
}
|
|
],
|
|
"type": "table"
|
|
}
|
|
],
|
|
"refresh": "",
|
|
"schemaVersion": 39,
|
|
"tags": ["TeslamateCustomDashboards"],
|
|
"templating": {
|
|
"list": [
|
|
{
|
|
"current": {},
|
|
"datasource": {
|
|
"type": "grafana-postgresql-datasource",
|
|
"uid": "TeslaMate"
|
|
},
|
|
"definition": "SELECT name AS __text, id AS __value FROM cars ORDER BY display_priority ASC, name ASC;",
|
|
"hide": 0,
|
|
"includeAll": false,
|
|
"label": "Car",
|
|
"multi": false,
|
|
"name": "car_id",
|
|
"options": [],
|
|
"query": "SELECT name AS __text, id AS __value FROM cars ORDER BY display_priority ASC, name ASC;",
|
|
"refresh": 1,
|
|
"regex": "",
|
|
"skipUrlSync": false,
|
|
"sort": 0,
|
|
"tagValuesQuery": "",
|
|
"tagsQuery": "",
|
|
"type": "query",
|
|
"useTags": false
|
|
},
|
|
{
|
|
"current": {},
|
|
"datasource": {
|
|
"type": "grafana-postgresql-datasource",
|
|
"uid": "TeslaMate"
|
|
},
|
|
"definition": "select base_url from settings limit 1;",
|
|
"hide": 2,
|
|
"includeAll": false,
|
|
"label": "",
|
|
"multi": false,
|
|
"name": "base_url",
|
|
"options": [],
|
|
"query": "select base_url from settings limit 1;",
|
|
"refresh": 1,
|
|
"regex": "",
|
|
"skipUrlSync": false,
|
|
"sort": 0,
|
|
"tagValuesQuery": "",
|
|
"tagsQuery": "",
|
|
"type": "query",
|
|
"useTags": false
|
|
},
|
|
{
|
|
"current": {},
|
|
"datasource": {
|
|
"type": "grafana-postgresql-datasource",
|
|
"uid": "TeslaMate"
|
|
},
|
|
"definition": "select unit_of_length from settings limit 1;",
|
|
"hide": 2,
|
|
"includeAll": false,
|
|
"multi": false,
|
|
"name": "length_unit",
|
|
"options": [],
|
|
"query": "select unit_of_length from settings limit 1;",
|
|
"refresh": 1,
|
|
"regex": "",
|
|
"skipUrlSync": false,
|
|
"sort": 0,
|
|
"tagValuesQuery": "",
|
|
"tagsQuery": "",
|
|
"type": "query",
|
|
"useTags": false
|
|
},
|
|
{
|
|
"current": {},
|
|
"datasource": {
|
|
"type": "grafana-postgresql-datasource",
|
|
"uid": "TeslaMate"
|
|
},
|
|
"definition": "SELECT\n\tcoalesce(sum(cost), 0)\nFROM\n\tcharging_processes\nWHERE\n\t$__timeFilter(end_date)\n\tAND car_id = $car_id;\n\t",
|
|
"hide": 2,
|
|
"includeAll": false,
|
|
"multi": false,
|
|
"name": "TotalCost",
|
|
"options": [],
|
|
"query": "SELECT\n\tcoalesce(sum(cost), 0)\nFROM\n\tcharging_processes\nWHERE\n\t$__timeFilter(end_date)\n\tAND car_id = $car_id;\n\t",
|
|
"refresh": 2,
|
|
"regex": "",
|
|
"skipUrlSync": false,
|
|
"sort": 0,
|
|
"type": "query"
|
|
},
|
|
{
|
|
"current": {},
|
|
"datasource": {
|
|
"type": "grafana-postgresql-datasource",
|
|
"uid": "TeslaMate"
|
|
},
|
|
"definition": "WITH data AS (\n\tSELECT c.charging_process_id \n\tFROM charges c\n\tLEFT JOIN charging_processes cp ON cp.id = c.charging_process_id\n\tLEFT JOIN addresses addr ON addr.id = cp.address_id\n\tLEFT JOIN geofences geo ON geo.id = geofence_id\n\tWHERE \n\t cp.car_id = $car_id AND c.fast_charger_present\n\t\tAND COALESCE(geo.name, CONCAT_WS(', ', COALESCE(addr.name, nullif(CONCAT_WS(' ', addr.display_name), '')))) ILIKE '%supercharger%'\n\tGROUP BY 1\n)\nSELECT\n coalesce(sum(cp.cost), 0)\nFROM\n\tcharging_processes cp, data\nWHERE\n $__timeFilter(end_date)\n AND cp.id IN (data.charging_process_id);",
|
|
"hide": 2,
|
|
"includeAll": false,
|
|
"multi": false,
|
|
"name": "SucCost",
|
|
"options": [],
|
|
"query": "WITH data AS (\n\tSELECT c.charging_process_id \n\tFROM charges c\n\tLEFT JOIN charging_processes cp ON cp.id = c.charging_process_id\n\tLEFT JOIN addresses addr ON addr.id = cp.address_id\n\tLEFT JOIN geofences geo ON geo.id = geofence_id\n\tWHERE \n\t cp.car_id = $car_id AND c.fast_charger_present\n\t\tAND COALESCE(geo.name, CONCAT_WS(', ', COALESCE(addr.name, nullif(CONCAT_WS(' ', addr.display_name), '')))) ILIKE '%supercharger%'\n\tGROUP BY 1\n)\nSELECT\n coalesce(sum(cp.cost), 0)\nFROM\n\tcharging_processes cp, data\nWHERE\n $__timeFilter(end_date)\n AND cp.id IN (data.charging_process_id);",
|
|
"refresh": 2,
|
|
"regex": "",
|
|
"skipUrlSync": false,
|
|
"sort": 0,
|
|
"type": "query"
|
|
},
|
|
{
|
|
"current": {},
|
|
"datasource": {
|
|
"type": "grafana-postgresql-datasource",
|
|
"uid": "TeslaMate"
|
|
},
|
|
"definition": "WITH data AS (\n\tSELECT c.charging_process_id \n\tFROM charges c\n\tLEFT JOIN charging_processes cp ON cp.id = c.charging_process_id\n\tWHERE \n cp.car_id = $car_id AND c.fast_charger_present\n\tGROUP BY 1\n)\nSELECT\n coalesce(sum(cp.cost) - $SucCost , 0)\t\nFROM\n\tcharging_processes cp, data\nWHERE\n $__timeFilter(end_date)\n AND cp.id IN (data.charging_process_id);",
|
|
"hide": 2,
|
|
"includeAll": false,
|
|
"multi": false,
|
|
"name": "DCCost",
|
|
"options": [],
|
|
"query": "WITH data AS (\n\tSELECT c.charging_process_id \n\tFROM charges c\n\tLEFT JOIN charging_processes cp ON cp.id = c.charging_process_id\n\tWHERE \n cp.car_id = $car_id AND c.fast_charger_present\n\tGROUP BY 1\n)\nSELECT\n coalesce(sum(cp.cost) - $SucCost , 0)\t\nFROM\n\tcharging_processes cp, data\nWHERE\n $__timeFilter(end_date)\n AND cp.id IN (data.charging_process_id);",
|
|
"refresh": 2,
|
|
"regex": "",
|
|
"skipUrlSync": false,
|
|
"sort": 0,
|
|
"type": "query"
|
|
},
|
|
{
|
|
"current": {},
|
|
"datasource": {
|
|
"type": "grafana-postgresql-datasource",
|
|
"uid": "TeslaMate"
|
|
},
|
|
"definition": "WITH data AS (\n\tSELECT c.charging_process_id \n\tFROM charges c\n\tLEFT JOIN charging_processes cp ON cp.id = c.charging_process_id\n\tWHERE \n\t\tcp.car_id = $car_id AND c.charger_voltage != 2\n AND c.fast_charger_present IS NOT true\n GROUP BY 1\n)\nSELECT\n coalesce(sum(cp.cost) , 0)\nFROM\n\tcharging_processes cp, data\nWHERE\n $__timeFilter(end_date)\n AND cp.cost IS NOT NULL\n AND cp.id IN (data.charging_process_id);",
|
|
"hide": 2,
|
|
"includeAll": false,
|
|
"multi": false,
|
|
"name": "ACCost",
|
|
"options": [],
|
|
"query": "WITH data AS (\n\tSELECT c.charging_process_id \n\tFROM charges c\n\tLEFT JOIN charging_processes cp ON cp.id = c.charging_process_id\n\tWHERE \n\t\tcp.car_id = $car_id AND c.charger_voltage != 2\n AND c.fast_charger_present IS NOT true\n GROUP BY 1\n)\nSELECT\n coalesce(sum(cp.cost) , 0)\nFROM\n\tcharging_processes cp, data\nWHERE\n $__timeFilter(end_date)\n AND cp.cost IS NOT NULL\n AND cp.id IN (data.charging_process_id);",
|
|
"refresh": 2,
|
|
"regex": "",
|
|
"skipUrlSync": false,
|
|
"sort": 0,
|
|
"type": "query"
|
|
},
|
|
{
|
|
"current": {},
|
|
"datasource": {
|
|
"type": "grafana-postgresql-datasource",
|
|
"uid": "TeslaMate"
|
|
},
|
|
"definition": "select current_setting('TIMEZONE'), name from pg_timezone_names where abbrev ~ '^[a-zA-Z]{3,4}$' and name not like 'posix%' order by 2;",
|
|
"hide": 2,
|
|
"includeAll": false,
|
|
"multi": false,
|
|
"name": "timezone",
|
|
"options": [],
|
|
"query": "select current_setting('TIMEZONE'), name from pg_timezone_names where abbrev ~ '^[a-zA-Z]{3,4}$' and name not like 'posix%' order by 2;",
|
|
"refresh": 1,
|
|
"regex": "",
|
|
"skipUrlSync": false,
|
|
"sort": 0,
|
|
"type": "query"
|
|
},
|
|
{
|
|
"current": {},
|
|
"datasource": {
|
|
"type": "grafana-postgresql-datasource",
|
|
"uid": "TeslaMate"
|
|
},
|
|
"definition": "SELECT ROUND(convert_km((max(end_km) - min(start_km))::numeric, '$length_unit'),0) as \"Mileage\"\nFROM drives WHERE car_id = $car_id AND $__timeFilter(end_date)",
|
|
"error": {},
|
|
"hide": 2,
|
|
"includeAll": false,
|
|
"multi": false,
|
|
"name": "distance_driven",
|
|
"options": [],
|
|
"query": "SELECT ROUND(convert_km((max(end_km) - min(start_km))::numeric, '$length_unit'),0) as \"Mileage\"\nFROM drives WHERE car_id = $car_id AND $__timeFilter(end_date)",
|
|
"refresh": 2,
|
|
"regex": "",
|
|
"skipUrlSync": false,
|
|
"sort": 0,
|
|
"type": "query"
|
|
},
|
|
{
|
|
"current": {},
|
|
"datasource": {
|
|
"type": "grafana-postgresql-datasource",
|
|
"uid": "TeslaMate"
|
|
},
|
|
"definition": "select unit_of_temperature from settings limit 1;",
|
|
"hide": 2,
|
|
"includeAll": false,
|
|
"multi": false,
|
|
"name": "temp_unit",
|
|
"options": [],
|
|
"query": "select unit_of_temperature from settings limit 1;",
|
|
"refresh": 1,
|
|
"regex": "",
|
|
"skipUrlSync": false,
|
|
"sort": 0,
|
|
"type": "query"
|
|
},
|
|
{
|
|
"current": {},
|
|
"datasource": {
|
|
"type": "grafana-postgresql-datasource",
|
|
"uid": "TeslaMate"
|
|
},
|
|
"definition": "select preferred_range from settings limit 1;",
|
|
"hide": 2,
|
|
"includeAll": false,
|
|
"multi": false,
|
|
"name": "preferred_range",
|
|
"options": [],
|
|
"query": "select preferred_range from settings limit 1;",
|
|
"refresh": 1,
|
|
"regex": "",
|
|
"skipUrlSync": false,
|
|
"sort": 0,
|
|
"type": "query"
|
|
},
|
|
{
|
|
"current": {},
|
|
"datasource": {
|
|
"type": "grafana-postgresql-datasource",
|
|
"uid": "TeslaMate"
|
|
},
|
|
"definition": "SELECT name FROM geofences ORDER BY id",
|
|
"description": "Geofence to display energy added at",
|
|
"hide": 0,
|
|
"includeAll": false,
|
|
"label": "Geofence",
|
|
"multi": false,
|
|
"name": "geofence",
|
|
"options": [],
|
|
"query": "SELECT name FROM geofences ORDER BY id",
|
|
"refresh": 1,
|
|
"regex": "",
|
|
"skipUrlSync": false,
|
|
"sort": 0,
|
|
"type": "query"
|
|
}
|
|
]
|
|
},
|
|
"time": {
|
|
"from": "now-10y",
|
|
"to": "now"
|
|
},
|
|
"timepicker": {
|
|
"hidden": false,
|
|
"refresh_intervals": [],
|
|
"time_options": [
|
|
"5m",
|
|
"15m",
|
|
"1h",
|
|
"6h",
|
|
"12h",
|
|
"24h",
|
|
"2d",
|
|
"7d",
|
|
"30d"
|
|
]
|
|
},
|
|
"timezone": "",
|
|
"title": "Charging Costs Stats",
|
|
"uid": "jchmDdLe5uFVk",
|
|
"version": 18,
|
|
"weekStart": ""
|
|
}
|