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fix(dashboardAPI): clean stat panels — dedup stray-tag series, value-only text, meter units

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Three display defects surfaced when rendering the live PS/pump/MGC dashboards:

1. Doubled values everywhere. EVOLV telemetry historically carried stray tags
   (tagcode="undefined"/uuid="null") that newer writes dropped, so InfluxDB holds
   two series per field and last() returned two of everything (e.g. Time Left,
   Runtime, Heights). Add |> group(columns:["_field"]) before last()/aggregateWindow
   in every template query so each field collapses to one value/line regardless of
   tag-set history.

2. fields:"/.*/" also rendered the _time column as a stat value. For single-field
   string panels (Direction, Flow Source, Mode, State, Prediction Quality) append
   |> keep(columns:["_value"]); for mixed string+numeric panels (valve/vgc/monster)
   drop _time/_start/_stop instead.

3. Level/Heights showed "0.12 min" — Grafana unit id "m" means minutes, not meters.
   Change to lengthm; normalize m³->m3, m³/h->m3/h on pumpingStation.

Verified live via headless screenshots: PS, pump, and measurement dashboards now
show single clean values with correct units.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
This commit is contained in:
znetsixe
2026-05-27 21:42:47 +02:00
parent 8bfc67c610
commit c4f5b68c6a
11 changed files with 409 additions and 157 deletions
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10
config/reactor.json
View File

@@ -25,7 +25,7 @@
"id": 2,
"options": { "reduceOptions": { "calcs": ["lastNotNull"] }, "colorMode": "value", "graphMode": "area" },
"targets": [
{ "query": "from(bucket: \"${bucket}\")\n |> range(start: -7d)\n |> filter(fn:(r) => r._measurement==\"${measurement}\" and r._field =~ /^S_O/)\n |> last()", "refId": "A" }
{ "query": "from(bucket: \"${bucket}\")\n |> range(start: -7d)\n |> filter(fn:(r) => r._measurement==\"${measurement}\" and r._field =~ /^S_O/)\n |> group(columns:[\"_field\"])\n |> last()", "refId": "A" }
],
"title": "DO (S_O)",
"type": "stat"
@@ -37,7 +37,7 @@
"id": 3,
"options": { "reduceOptions": { "calcs": ["lastNotNull"] }, "colorMode": "value", "graphMode": "area" },
"targets": [
{ "query": "from(bucket: \"${bucket}\")\n |> range(start: -7d)\n |> filter(fn:(r) => r._measurement==\"${measurement}\" and r._field =~ /^S_NH/)\n |> last()", "refId": "A" }
{ "query": "from(bucket: \"${bucket}\")\n |> range(start: -7d)\n |> filter(fn:(r) => r._measurement==\"${measurement}\" and r._field =~ /^S_NH/)\n |> group(columns:[\"_field\"])\n |> last()", "refId": "A" }
],
"title": "NH\u2084 (S_NH)",
"type": "stat"
@@ -49,7 +49,7 @@
"id": 4,
"options": { "reduceOptions": { "calcs": ["lastNotNull"] }, "colorMode": "value", "graphMode": "area" },
"targets": [
{ "query": "from(bucket: \"${bucket}\")\n |> range(start: -7d)\n |> filter(fn:(r) => r._measurement==\"${measurement}\" and r._field =~ /^S_NO/)\n |> last()", "refId": "A" }
{ "query": "from(bucket: \"${bucket}\")\n |> range(start: -7d)\n |> filter(fn:(r) => r._measurement==\"${measurement}\" and r._field =~ /^S_NO/)\n |> group(columns:[\"_field\"])\n |> last()", "refId": "A" }
],
"title": "NO\u2083 (S_NO)",
"type": "stat"
@@ -61,7 +61,7 @@
"id": 5,
"options": { "reduceOptions": { "calcs": ["lastNotNull"] }, "colorMode": "value", "graphMode": "area" },
"targets": [
{ "query": "from(bucket: \"${bucket}\")\n |> range(start: -7d)\n |> filter(fn:(r) => r._measurement==\"${measurement}\" and r._field =~ /^X_TS/)\n |> last()", "refId": "A" }
{ "query": "from(bucket: \"${bucket}\")\n |> range(start: -7d)\n |> filter(fn:(r) => r._measurement==\"${measurement}\" and r._field =~ /^X_TS/)\n |> group(columns:[\"_field\"])\n |> last()", "refId": "A" }
],
"title": "TSS (X_TS)",
"type": "stat"
@@ -74,7 +74,7 @@
"id": 7,
"options": { "legend": { "displayMode": "list", "placement": "bottom" }, "tooltip": { "mode": "multi" } },
"targets": [
{ "query": "from(bucket: \"${bucket}\")\n |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\n |> filter(fn:(r) => r._measurement==\"${measurement}\")\n |> filter(fn:(r) => r._field =~ /^(F|S_O|S_NH|S_NO|S_S|X_TS)/)\n |> aggregateWindow(every: v.windowPeriod, fn: mean, createEmpty: false)", "refId": "A" }
{ "query": "from(bucket: \"${bucket}\")\n |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\n |> filter(fn:(r) => r._measurement==\"${measurement}\")\n |> filter(fn:(r) => r._field =~ /^(F|S_O|S_NH|S_NO|S_S|X_TS)/)\n |> group(columns:[\"_field\"])\n |> aggregateWindow(every: v.windowPeriod, fn: mean, createEmpty: false)", "refId": "A" }
],
"title": "Core Process Signals",
"type": "timeseries"