mirror of
https://github.com/teslamate-org/teslamate.git
synced 2026-01-24 21:06:08 +08:00
Matthias Wirtz
6c79a758c3
* use Unit kwatth instead of custom SQL * replace last usage of case when with convert_km * Naming Conventions, Descriptions & Alignments in Calculations * use same query as in statistics * adapt Driving Efficiency in Drives (more in line with Efficiency and Statistics) * fix hard-coded length unit * fix division by zero * fix: min allowed of minWidth is 50 * a little more space here... * fix: minWidth for auto-scaling * accurate consumption gross (exclude charges only) * . instead of , * improve consumption gross while charging * faster consumption gross calculation * consistent # of X for counts * fix units of xy chart in battery health dashboard * fix labels of xy charts & add decimals in top suc in charging stats dashboard * change default time for trip to last 24h * rework the query for better performance * perf-fix * high precision mode in statistics (consumption gross) * typo * same query in both dashboards - trips defaulting to high precision mode if period shorter than 10 days * remove starting at, covered by period * fix for periods starting and ending with charges + max one drive * further improve accuracy in low precision mode and low data sample count * short, fast, accurate * fix sorting * fix / improve condition for auto-enabling high precision mode
1291 lines
38 KiB
JSON
1291 lines
38 KiB
JSON
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|
|
"id": 2,
|
|
"maxPerRow": 2,
|
|
"options": {
|
|
"cellHeight": "sm",
|
|
"footer": {
|
|
"countRows": false,
|
|
"fields": "",
|
|
"reducer": [
|
|
"sum"
|
|
],
|
|
"show": false
|
|
},
|
|
"frameIndex": 1,
|
|
"showHeader": true,
|
|
"sortBy": [
|
|
{
|
|
"desc": true,
|
|
"displayName": "Starting at"
|
|
}
|
|
]
|
|
},
|
|
"pluginVersion": "11.2.3",
|
|
"repeatDirection": "h",
|
|
"targets": [
|
|
{
|
|
"datasource": {
|
|
"type": "grafana-postgresql-datasource",
|
|
"uid": "TeslaMate"
|
|
},
|
|
"editorMode": "code",
|
|
"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_${preferred_range}_range_km - end_${preferred_range}_range_km, 0), 0) AS range_diff,\n date_trunc('$period', 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 date)*1000 AS date_from,\n EXTRACT(EPOCH FROM date + interval '1 $period')*1000 AS date_to,\n CASE '$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 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 $__timeFilter(start_date)\nGROUP BY date",
|
|
"refId": "A",
|
|
"select": [
|
|
[
|
|
{
|
|
"params": [
|
|
"start_km"
|
|
],
|
|
"type": "column"
|
|
}
|
|
]
|
|
],
|
|
"sql": {
|
|
"columns": [
|
|
{
|
|
"parameters": [],
|
|
"type": "function"
|
|
}
|
|
],
|
|
"groupBy": [
|
|
{
|
|
"property": {
|
|
"type": "string"
|
|
},
|
|
"type": "groupBy"
|
|
}
|
|
],
|
|
"limit": 50
|
|
},
|
|
"table": "drives",
|
|
"timeColumn": "start_date",
|
|
"timeColumnType": "timestamp",
|
|
"where": [
|
|
{
|
|
"name": "$__timeFilter",
|
|
"params": [],
|
|
"type": "macro"
|
|
}
|
|
]
|
|
},
|
|
{
|
|
"datasource": {
|
|
"type": "grafana-postgresql-datasource",
|
|
"uid": "TeslaMate"
|
|
},
|
|
"editorMode": "code",
|
|
"format": "table",
|
|
"group": [],
|
|
"metricColumn": "none",
|
|
"rawQuery": true,
|
|
"rawSql": "WITH data AS (\n SELECT\n charging_processes.*,\n \tdate_trunc('$period', TIMEZONE('UTC', start_date)) as date\n FROM charging_processes)\nSELECT\n EXTRACT(EPOCH FROM date)*1000 AS date_from,\n EXTRACT(EPOCH FROM date + interval '1 $period')*1000 AS date_to,\n CASE '$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 date,\n sum(greatest(charge_energy_added,charge_energy_used)) AS sum_energy_used_kwh,\n sum(greatest(charge_energy_added,charge_energy_used)) / count(*) AS avg_energy_charged_kwh,\n sum(cost) AS cost_charges,\n count(*) AS cnt_charges\nFROM data WHERE\n car_id = $car_id AND\n $__timeFilter(start_date) AND\n (charge_energy_added IS NULL OR charge_energy_added > 0.1)\nGROUP BY date",
|
|
"refId": "B",
|
|
"select": [
|
|
[
|
|
{
|
|
"params": [
|
|
"value"
|
|
],
|
|
"type": "column"
|
|
}
|
|
]
|
|
],
|
|
"sql": {
|
|
"columns": [
|
|
{
|
|
"parameters": [],
|
|
"type": "function"
|
|
}
|
|
],
|
|
"groupBy": [
|
|
{
|
|
"property": {
|
|
"type": "string"
|
|
},
|
|
"type": "groupBy"
|
|
}
|
|
],
|
|
"limit": 50
|
|
},
|
|
"timeColumn": "time",
|
|
"where": [
|
|
{
|
|
"name": "$__timeFilter",
|
|
"params": [],
|
|
"type": "macro"
|
|
}
|
|
]
|
|
},
|
|
{
|
|
"datasource": {
|
|
"type": "grafana-postgresql-datasource",
|
|
"uid": "TeslaMate"
|
|
},
|
|
"editorMode": "code",
|
|
"format": "table",
|
|
"group": [],
|
|
"hide": false,
|
|
"metricColumn": "none",
|
|
"rawQuery": true,
|
|
"rawSql": "WITH data AS (\n SELECT\n drives.*,\n date_trunc('$period', TIMEZONE('UTC', start_date)) as date\n FROM drives)\nSELECT\n EXTRACT(EPOCH FROM date)*1000 AS date_from,\n EXTRACT(EPOCH FROM date + interval '1 $period')*1000 AS date_to,\n CASE '$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 date,\n sum(GREATEST(start_${preferred_range}_range_km - end_${preferred_range}_range_km, 0) * car.efficiency * 1000) / \n convert_km(sum(distance)::numeric, '$length_unit') as consumption_net_$length_unit\nFROM data\nJOIN cars car ON car.id = car_id\nWHERE\n car_id = $car_id AND\n $__timeFilter(start_date)\nGROUP BY date",
|
|
"refId": "C",
|
|
"select": [
|
|
[
|
|
{
|
|
"params": [
|
|
"value"
|
|
],
|
|
"type": "column"
|
|
}
|
|
]
|
|
],
|
|
"sql": {
|
|
"columns": [
|
|
{
|
|
"parameters": [],
|
|
"type": "function"
|
|
}
|
|
],
|
|
"groupBy": [
|
|
{
|
|
"property": {
|
|
"type": "string"
|
|
},
|
|
"type": "groupBy"
|
|
}
|
|
],
|
|
"limit": 50
|
|
},
|
|
"timeColumn": "time",
|
|
"where": [
|
|
{
|
|
"name": "$__timeFilter",
|
|
"params": [],
|
|
"type": "macro"
|
|
}
|
|
]
|
|
},
|
|
{
|
|
"datasource": {
|
|
"type": "grafana-postgresql-datasource",
|
|
"uid": "TeslaMate"
|
|
},
|
|
"editorMode": "code",
|
|
"format": "table",
|
|
"hide": false,
|
|
"rawQuery": true,
|
|
"rawSql": "with drives_start_event as (\n\n select\n 'drive_start' as event, start_date as date, start_${preferred_range}_range_km as range, start_km as odometer, car_id\n from drives\n where car_id = $car_id and $__timeFilter(start_date) and 0 = $high_precision\n\n),\n\ndrives_end_event as (\n\n select\n 'drive_end' as event, end_date as date, end_${preferred_range}_range_km as range, end_km as odometer, car_id\n from drives\n where car_id = $car_id and $__timeFilter(end_date) and 0 = $high_precision\n\n),\n\ncharging_processes_start_event as (\n\n select\n 'charging_process_start' as event, start_date as date, start_${preferred_range}_range_km as range, p.odometer, cp.car_id\n from charging_processes cp\n inner join positions p on cp.position_id = p.id\n where cp.car_id = $car_id and $__timeFilter(start_date) and 0 = $high_precision\n\n),\n\ncharging_processes_end_event as (\n\n select\n 'charging_process_end' as event, end_date as date, end_${preferred_range}_range_km as range, p.odometer, cp.car_id\n from charging_processes cp\n inner join positions p on cp.position_id = p.id\n where cp.car_id = $car_id and $__timeFilter(end_date) and 0 = $high_precision\n\n),\n\npositions as (\n\n select\n case\n when drive_id is not null and lead(drive_id) over w is not null then 'drive_start'\n else 'something'\n end as event,\n date, ${preferred_range}_battery_range_km as range, p.odometer, p.car_id\n from positions p\n where ideal_battery_range_km is not null and car_id = $car_id and $__timeFilter(date) and 1 = $high_precision\n window w as (order by date)\n\n),\n\ncombined as (\n\n select * from drives_start_event\n union all\n select * from drives_end_event\n union all\n select * from charging_processes_start_event\n union all\n select * from charging_processes_end_event\n union all\n select * from positions\n\n),\n\nfinal as (\n\n select\n car_id,\n date_trunc('$period', timezone('UTC', date)) as date,\n lead(odometer) over w - odometer as distance,\n case when event != 'drive_start' then greatest(range - lead(range) over w, 0) else range - lead(range) over w end as range_loss\n from combined\n window w as (order by date asc)\n\n)\n\nselect\n EXTRACT(EPOCH FROM date)*1000 AS date_from,\n EXTRACT(EPOCH FROM date + interval '1 $period')*1000 AS date_to,\n CASE '$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 date,\n (sum(range_loss) * c.efficiency * 1000) / nullif(convert_km(sum(distance)::numeric, '$length_unit'), 0) as consumption_gross_$length_unit\nfrom final\n inner join cars c on car_id = c.id\ngroup by 1, 2, 3, 4, c.efficiency",
|
|
"refId": "D",
|
|
"sql": {
|
|
"columns": [
|
|
{
|
|
"parameters": [],
|
|
"type": "function"
|
|
}
|
|
],
|
|
"groupBy": [
|
|
{
|
|
"property": {
|
|
"type": "string"
|
|
},
|
|
"type": "groupBy"
|
|
}
|
|
],
|
|
"limit": 50
|
|
}
|
|
}
|
|
],
|
|
"title": "per ${period}",
|
|
"transformations": [
|
|
{
|
|
"id": "merge",
|
|
"options": {}
|
|
},
|
|
{
|
|
"id": "seriesToColumns",
|
|
"options": {
|
|
"byField": "date"
|
|
}
|
|
},
|
|
{
|
|
"id": "sortBy",
|
|
"options": {
|
|
"fields": {},
|
|
"sort": [
|
|
{
|
|
"desc": true,
|
|
"field": "date"
|
|
}
|
|
]
|
|
}
|
|
},
|
|
{
|
|
"id": "calculateField",
|
|
"options": {
|
|
"alias": "avg_cost_kwh",
|
|
"binary": {
|
|
"left": "cost_charges",
|
|
"operator": "/",
|
|
"reducer": "sum",
|
|
"right": "sum_energy_used_kwh"
|
|
},
|
|
"mode": "binary",
|
|
"reduce": {
|
|
"reducer": "sum"
|
|
}
|
|
}
|
|
},
|
|
{
|
|
"id": "calculateField",
|
|
"options": {
|
|
"alias": "avg_cost_km_temp",
|
|
"binary": {
|
|
"left": "cost_charges",
|
|
"operator": "/",
|
|
"reducer": "sum",
|
|
"right": "sum_distance_km"
|
|
},
|
|
"mode": "binary",
|
|
"reduce": {
|
|
"reducer": "sum"
|
|
}
|
|
}
|
|
},
|
|
{
|
|
"id": "calculateField",
|
|
"options": {
|
|
"alias": "avg_cost_mi_temp",
|
|
"binary": {
|
|
"left": "cost_charges",
|
|
"operator": "/",
|
|
"reducer": "sum",
|
|
"right": "sum_distance_mi"
|
|
},
|
|
"mode": "binary",
|
|
"reduce": {
|
|
"reducer": "sum"
|
|
}
|
|
}
|
|
},
|
|
{
|
|
"id": "calculateField",
|
|
"options": {
|
|
"alias": "avg_cost_km",
|
|
"binary": {
|
|
"left": "avg_cost_km_temp",
|
|
"operator": "*",
|
|
"right": "100"
|
|
},
|
|
"mode": "binary",
|
|
"reduce": {
|
|
"reducer": "sum"
|
|
}
|
|
}
|
|
},
|
|
{
|
|
"id": "calculateField",
|
|
"options": {
|
|
"alias": "avg_cost_mi",
|
|
"binary": {
|
|
"left": "avg_cost_mi_temp",
|
|
"operator": "*",
|
|
"right": "100"
|
|
},
|
|
"mode": "binary",
|
|
"reduce": {
|
|
"reducer": "sum"
|
|
}
|
|
}
|
|
},
|
|
{
|
|
"id": "calculateField",
|
|
"options": {
|
|
"alias": "overhead_pct_km_temp",
|
|
"binary": {
|
|
"left": "consumption_net_km",
|
|
"operator": "/",
|
|
"right": "consumption_gross_km"
|
|
},
|
|
"mode": "binary",
|
|
"reduce": {
|
|
"reducer": "sum"
|
|
}
|
|
}
|
|
},
|
|
{
|
|
"id": "calculateField",
|
|
"options": {
|
|
"alias": "overhead_pct_km",
|
|
"binary": {
|
|
"left": "1",
|
|
"operator": "-",
|
|
"right": "overhead_pct_km_temp"
|
|
},
|
|
"mode": "binary",
|
|
"reduce": {
|
|
"reducer": "sum"
|
|
}
|
|
}
|
|
},
|
|
{
|
|
"id": "calculateField",
|
|
"options": {
|
|
"alias": "overhead_pct_mi_temp",
|
|
"binary": {
|
|
"left": "consumption_net_mi",
|
|
"operator": "/",
|
|
"right": "consumption_gross_mi"
|
|
},
|
|
"mode": "binary",
|
|
"reduce": {
|
|
"reducer": "sum"
|
|
}
|
|
}
|
|
},
|
|
{
|
|
"id": "calculateField",
|
|
"options": {
|
|
"alias": "overhead_pct_mi",
|
|
"binary": {
|
|
"left": "1",
|
|
"operator": "-",
|
|
"right": "overhead_pct_mi_temp"
|
|
},
|
|
"mode": "binary",
|
|
"reduce": {
|
|
"reducer": "sum"
|
|
}
|
|
}
|
|
},
|
|
{
|
|
"id": "organize",
|
|
"options": {
|
|
"excludeByName": {
|
|
"avg_cost_km_temp": true,
|
|
"avg_cost_mi_temp": true,
|
|
"date": true,
|
|
"overhead_pct_km_temp": true,
|
|
"overhead_pct_mi_temp": true
|
|
},
|
|
"includeByName": {},
|
|
"indexByName": {
|
|
"avg_cost_km": 12,
|
|
"avg_cost_kwh": 11,
|
|
"avg_cost_mi": 12,
|
|
"avg_energy_charged_kwh": 8,
|
|
"avg_outside_temp_c": 4,
|
|
"avg_outside_temp_f": 4,
|
|
"cnt": 5,
|
|
"cnt_charges": 10,
|
|
"consumption_gross_km": 14,
|
|
"consumption_gross_mi": 14,
|
|
"consumption_net_km": 13,
|
|
"consumption_net_mi": 13,
|
|
"cost_charges": 9,
|
|
"date": 1,
|
|
"date_from": 15,
|
|
"date_to": 16,
|
|
"display": 0,
|
|
"efficiency": 6,
|
|
"overhead_pct_km": 17,
|
|
"overhead_pct_mi": 17,
|
|
"sum_distance_km": 3,
|
|
"sum_distance_mi": 3,
|
|
"sum_duration_h": 2,
|
|
"sum_energy_used_kwh": 7
|
|
},
|
|
"renameByName": {
|
|
"avg_cost_km": "Ø Cost / 100 km",
|
|
"avg_cost_kwh": "Ø Cost / kWh",
|
|
"avg_cost_mi": "Ø Cost / 100 mi",
|
|
"avg_energy_charged_kwh": "Ø Energy used / Charge",
|
|
"avg_outside_temp_c": "",
|
|
"avg_outside_temp_f": "",
|
|
"cnt": "# of Drives",
|
|
"cnt_charges": "# of Charges",
|
|
"consumption_gross_km": "",
|
|
"consumption_gross_mi": "",
|
|
"consumption_net_km": "",
|
|
"consumption_net_mi": "",
|
|
"cost_charges": "Costs",
|
|
"date": "",
|
|
"date_from": "",
|
|
"date_to": "",
|
|
"display": "Period",
|
|
"efficiency": "Driving Efficiency",
|
|
"overhead_pct_km": "Consumption OH",
|
|
"overhead_pct_mi": "Consumption OH",
|
|
"sum_distance_km": "",
|
|
"sum_distance_mi": "",
|
|
"sum_duration_h": "Time driven",
|
|
"sum_energy_used_kwh": "Energy used"
|
|
}
|
|
}
|
|
}
|
|
],
|
|
"type": "table"
|
|
}
|
|
],
|
|
"refresh": false,
|
|
"schemaVersion": 39,
|
|
"tags": [
|
|
"tesla"
|
|
],
|
|
"templating": {
|
|
"list": [
|
|
{
|
|
"current": {},
|
|
"datasource": {
|
|
"type": "grafana-postgresql-datasource",
|
|
"uid": "TeslaMate"
|
|
},
|
|
"definition": "SELECT\n id as __value,\n CASE WHEN COUNT(id) OVER (PARTITION BY name) > 1 AND name IS NOT NULL THEN CONCAT(name, ' - ', RIGHT(vin, 6)) ELSE COALESCE(name, CONCAT('VIN ', vin)) end as __text \nFROM cars\nORDER BY display_priority ASC, name ASC, vin ASC;",
|
|
"hide": 2,
|
|
"includeAll": true,
|
|
"label": "Car",
|
|
"multi": false,
|
|
"name": "car_id",
|
|
"options": [],
|
|
"query": "SELECT\n id as __value,\n CASE WHEN COUNT(id) OVER (PARTITION BY name) > 1 AND name IS NOT NULL THEN CONCAT(name, ' - ', RIGHT(vin, 6)) ELSE COALESCE(name, CONCAT('VIN ', vin)) end as __text \nFROM cars\nORDER BY display_priority ASC, name ASC, vin ASC;",
|
|
"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,
|
|
"label": "length unit",
|
|
"multi": false,
|
|
"name": "length_unit",
|
|
"options": [],
|
|
"query": "select unit_of_length from settings limit 1;",
|
|
"refresh": 1,
|
|
"regex": "",
|
|
"skipUrlSync": false,
|
|
"sort": 0,
|
|
"tagValuesQuery": "",
|
|
"tags": [],
|
|
"tagsQuery": "",
|
|
"type": "query",
|
|
"useTags": false
|
|
},
|
|
{
|
|
"current": {},
|
|
"datasource": {
|
|
"type": "grafana-postgresql-datasource",
|
|
"uid": "TeslaMate"
|
|
},
|
|
"definition": "select unit_of_temperature from settings limit 1;",
|
|
"hide": 2,
|
|
"includeAll": false,
|
|
"label": "temperature unit",
|
|
"multi": false,
|
|
"name": "temp_unit",
|
|
"options": [],
|
|
"query": "select unit_of_temperature from settings limit 1;",
|
|
"refresh": 1,
|
|
"regex": "",
|
|
"skipUrlSync": false,
|
|
"sort": 0,
|
|
"tagValuesQuery": "",
|
|
"tagsQuery": "",
|
|
"type": "query",
|
|
"useTags": false
|
|
},
|
|
{
|
|
"current": {
|
|
"selected": true,
|
|
"text": "month",
|
|
"value": "month"
|
|
},
|
|
"hide": 0,
|
|
"includeAll": false,
|
|
"label": "Period",
|
|
"multi": false,
|
|
"name": "period",
|
|
"options": [
|
|
{
|
|
"selected": false,
|
|
"text": "day",
|
|
"value": "day"
|
|
},
|
|
{
|
|
"selected": false,
|
|
"text": "week",
|
|
"value": "week"
|
|
},
|
|
{
|
|
"selected": true,
|
|
"text": "month",
|
|
"value": "month"
|
|
},
|
|
{
|
|
"selected": false,
|
|
"text": "year",
|
|
"value": "year"
|
|
}
|
|
],
|
|
"query": "day,week,month,year",
|
|
"queryValue": "",
|
|
"skipUrlSync": false,
|
|
"type": "custom"
|
|
},
|
|
{
|
|
"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,
|
|
"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,
|
|
"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": {
|
|
"selected": true,
|
|
"text": "no",
|
|
"value": "0"
|
|
},
|
|
"description": "When enabled \"Ø Consumption (gross)\" will be calculated via Positions instead of Charging Processes and Drives.\n\nWhile being more accurate (especially for shorter periods) this will be slow on slow hardware!",
|
|
"hide": 0,
|
|
"includeAll": false,
|
|
"label": "High Precision",
|
|
"multi": false,
|
|
"name": "high_precision",
|
|
"options": [
|
|
{
|
|
"selected": true,
|
|
"text": "no",
|
|
"value": "0"
|
|
},
|
|
{
|
|
"selected": false,
|
|
"text": "yes",
|
|
"value": "1"
|
|
}
|
|
],
|
|
"query": "no : 0, yes : 1",
|
|
"queryValue": "",
|
|
"skipUrlSync": false,
|
|
"type": "custom"
|
|
}
|
|
]
|
|
},
|
|
"time": {
|
|
"from": "now-10y",
|
|
"to": "now"
|
|
},
|
|
"timepicker": {
|
|
"refresh_intervals": [
|
|
"5s",
|
|
"10s",
|
|
"30s",
|
|
"1m",
|
|
"5m",
|
|
"15m",
|
|
"30m",
|
|
"1h",
|
|
"2h",
|
|
"1d"
|
|
]
|
|
},
|
|
"timezone": "",
|
|
"title": "Statistics",
|
|
"uid": "1EZnXszMk",
|
|
"version": 1,
|
|
"weekStart": ""
|
|
} |