Sync your own workout data from your "Strong" app
Merge pull request #8 from tolik518/examples
authored by
Anatolij Vasilev
and committed by
GitHub
cd9597f0
4209d081
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.github/heatmap.png
.github/heatmap.png
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README.MD
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README.MD
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The URL to the API backend is not provided here, for now, because it's not entirely public and because of possible legal implications.
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If using docker-compose, the service will run 18:00, 18:30, 19:00, 19:30, 20:00 and 20:30, but you can change this in the `Dockerfile`.
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## Why?
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So you can do fun stuff with your workout data, like doing silly grafana dashboards.
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For example, you can use the [Grafana Clickhouse plugin](https://grafana.com/grafana/plugins/grafana-clickhouse-datasource/) to visualize your workout data.
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You can make heatmaps, like the one you have on github, or you can make a dashboard that shows your progress over time, or you can make a dashboard that shows your workout history.
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You can find the Grafana JSON for the [heatmap](./examples/heatmap.json) and for the [excercises per week](./examples/excercises_per_week.json) in the [examples](./examples) folder.
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## How to use
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0. Have your Clckhouse database ready and running
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examples/grafana/excercises-per-week.json
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examples/grafana/excercises-per-week.json
···
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"title": "Excercises per week",
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"axisGridShow": true
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"color": {
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"mode": "thresholds"
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"mappings": [],
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"steps": [
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"color": "transparent",
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"value": null
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{
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"color": "light-green",
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"value": 1
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{
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"value": 2,
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"color": "green"
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{
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"value": 3,
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"color": "semi-dark-green"
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},
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{
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"value": 4,
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"color": "dark-green"
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}
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]
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},
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"fieldMinMax": false,
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"max": 7,
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"min": 0
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"matcher": {
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"id": "byValue",
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"op": "neq",
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"value": 0
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"properties": [
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"type": "value",
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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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"pluginVersion": "11.6.1",
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"targets": [
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{
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"datasource": {
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"type": "grafana-clickhouse-datasource",
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"uid": "cegmu4gilxn28d"
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},
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"editorType": "sql",
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"format": 0,
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"meta": {
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"database": "",
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"limit": 1000,
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"mode": "list",
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"queryType": "table",
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"table": ""
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}
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},
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"pluginVersion": "4.8.2",
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"queryType": "timeseries",
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"rawSql": "WITH\n 'Europe/Berlin' AS tz,\n -- Time frame of the and get the week start\n toStartOfWeek(toDate(toTimeZone(toDateTime(intDiv(${__from},1000)), tz)), 1) AS w_from,\n toStartOfWeek(toDate(toTimeZone(toDateTime(intDiv(${__to}, 1000)), tz)), 1) AS w_to,\n\n -- All Weeks in Range\n weeks AS (\n SELECT addWeeks(w_from, number) AS week_start\n FROM numbers(dateDiff('week', w_from, w_to) + 1)\n ),\n\n -- Real Sessions per Week\n per_week AS (\n SELECT\n toStartOfWeek(toTimeZone(start_date, tz), 1) AS week_start,\n countDistinct(workout_id) AS sessions\n FROM workouts.workout_sets\n WHERE $__timeFilter(start_date)\n GROUP BY week_start\n )\n\n-- Ergebnis: every week exactly once, missing zeroes added => 0, Label = Weeknumber\nSELECT\n concat(leftPad(toString(toISOWeek(week_start)),2,'0')) AS week_label,\n ifNull(p.sessions, 0) AS sessions\nFROM weeks w\nLEFT JOIN per_week p USING (week_start)\nORDER BY week_start;\n",
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"refId": "A"
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}
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],
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"datasource": {
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"type": "grafana-clickhouse-datasource",
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"uid": "cegmu4gilxn28d"
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"options": {
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"hideZeros": false
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"legend": {
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"showLegend": false,
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"displayMode": "list",
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"placement": "right",
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"calcs": []
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},
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"text": {},
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"xField": "week_label",
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"colorByField": "sessions"
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},
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"timeFrom": "365d"
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}
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examples/grafana/heatmap.json
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examples/grafana/heatmap.json
···
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"color": "#2f2f2fed",
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"value": null
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"color": "semi-dark-green",
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"value": 1
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{
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"color": "dark-green",
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"value": 2
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}
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],
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"database": "workouts",
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"filters": [],
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"groupBy": [],
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"limit": 1000,
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"meta": {},
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"mode": "list",
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"groupBy": [],
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"limit": 1000,
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"meta": {},
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"mode": "list",
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"orderBy": [],
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"queryType": "table",
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"table": "workout_sets"
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}
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},
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"pluginVersion": "4.8.2",
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"queryType": "timeseries",
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"rawSql": "WITH\n 'Europe/Berlin' AS tz,\n toStartOfWeek(toDate(toTimeZone(toDateTime(intDiv(${__from},1000)), tz)), 1) AS w_from,\n toStartOfWeek(toDate(toTimeZone(toDateTime(intDiv(${__to}, 1000)), tz)), 1) AS w_to,\n\n weeks AS (\n SELECT addWeeks(w_from, number) AS week_start\n FROM numbers(dateDiff('week', w_from, w_to) + 1)\n ),\n\n per_day AS (\n SELECT\n toDate(toTimeZone(start_date, tz)) AS day,\n countDistinct(workout_id) AS sessions\n FROM workouts.workout_sets\n WHERE $__timeFilter(start_date)\n GROUP BY day\n ),\n\n grid AS (\n /* 7 \"Slots\" per week (Mo..So) */\n SELECT\n w.week_start,\n n.number AS dow0, -- 0..6\n addDays(w.week_start, n.number) AS day\n FROM weeks w\n CROSS JOIN numbers(7) AS n\n )\n\nSELECT\n week_start AS time, -- X-Axis = Beginning of the week (Monday)\n concat(toString(dow0+1), ' ', formatDateTime(day, '%a')) AS metric, -- Name of the row\n ifNull(per_day.sessions, 0) AS value\nFROM grid\nLEFT JOIN per_day USING (day)\nORDER BY time, metric;\n",
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],
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"datasource": {
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"type": "grafana-clickhouse-datasource",
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"uid": "cegmu4gilxn28d"
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}