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cb621ca5d0957117c036c32ba3952b3fc959417a
ERP/monitoring/grafana/dashboards/bot-observability.json
T
whqreza cb621ca5d0 feat(monitoring): multi-model dashboard v2.1 — tabs, per-model records, voice playback + MinIO dual-write 
Problem: the dashboard was Jev-centric; NLU/arbiter/fallback DeepSeek, STT
providers and the audio-enhancer were barely visible, and stored texts/voices
had no real access path.

Bot (additive; reply path untouched):
- nlu.result now records latency_ms + the DeepSeek usage tokens
- matching.arbitration/fallback.result fill the model + latency_ms columns
  (payload unchanged; SQL coalesces column/payload so old rows still count)
- storage.py: MinIO dual-write layer — every voice (raw + denoised) and user
  attachment is mirrored fire-and-forget into bucket bot-media; the blocking
  minio SDK runs via asyncio.to_thread (senior-engineer review) so the event
  loop is never stalled; empty MINIO_* env = layer off; bucket auto-created
- requirements: minio>=7.2

Backend (admin-gated, read-only):
- GET /bot-metrics/models — one record per model (jev, deepseek-nlu,
  deepseek-arbiter, deepseek-fallback, audio-enhancer + dynamic per-provider
  STT) with calls/ok-rate/p50/p95/tokens/last-seen + version-drift vs the pin
- GET /bot-metrics/models/{id}/daily — per-model daily calls/fails/tokens/p50
- GET /bot-metrics/stages — every stage tagged with its Persian pipeline
  section (صوت/درک پیام/تطبیق/ابهام و انتخاب/پیش‌نویس)
- /traces now carries input_kind + a 120-char text excerpt (consensus →
  input.text → first STT transcript)
- media serving: POST /media-url mints a short-lived HMAC URL (audio/a tags
  cannot send Authorization); GET /media streams from MinIO bot-media with
  the read-only ./bot/data mount as fallback for pre-MinIO files; hard ref
  validation (voices|attachments only, no .., extension whitelist)
- router exempted from the global Bearer dependency (files.py pattern) —
  every endpoint keeps its own require_role('admin')

Frontend /bot-monitor (RTL, recharts):
- four tabs: نمای کلی / مدل‌ها (records table + per-model expandable daily
  charts: calls/fails, tokens, p50) / بخش‌ها (sections grouped) / پیام‌ها
- message drawer rebuilt: inline <audio controls> for raw + denoised voice,
  download links, every STT transcript + consensus side-by-side, user
  attachments, then the event timeline
- terminology: «ترس» → «پرونده‌ی پیام» with tooltips + a one-line legend

Grafana: bot-observability gains a «کارکرد مدل‌ها» table (stage→model
mapping for legacy rows); the explorer gains a message text column.

Seed: real (tiny) ogg files written + mirrored to MinIO, NLU usage tokens,
column-level model/latency on matching events.

Verified locally: /models returns all 7 records incl. per-STT and NLU tokens;
media 200 via signed URL (MinIO) and 401 without; ../ and .py rejected (400);
disk fallback serves a legacy file; pm-role 403 on every new endpoint;
bucket auto-created with 14 mirrored objects; tsc + vite build clean;
Grafana re-provisions 24 panels.
2026-10-25 22:02:40 +03:30

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{
"annotations": {
"list": []
},
"editable": true,
"graphTooltip": 1,
"refresh": "5m",
"schemaVersion": 41,
"tags": [
"erp",
"bot"
],
"time": {
"from": "now-7d",
"to": "now"
},
"timezone": "browser",
"title": "بات — Observability خط لوله",
"uid": "bot-observability",
"version": 1,
"panels": [
{
"type": "row",
"title": "نمای کلی",
"gridPos": {
"h": 1,
"w": 24,
"x": 0,
"y": 0
},
"id": 100
},
{
"type": "stat",
"title": "روندها (ترافیک واقعی)",
"id": 1,
"datasource": {
"type": "postgres",
"uid": "bot-postgres"
},
"gridPos": {
"h": 4,
"w": 4,
"x": 0,
"y": 1
},
"targets": [
{
"refId": "A",
"format": "table",
"rawSql": "SELECT count(*) AS value FROM bot_traces WHERE coalesce(source,'bale') NOT IN ('calibration','demo') AND $__timeFilter(created_at)"
}
],
"fieldConfig": {
"defaults": {
"color": {
"mode": "thresholds"
},
"thresholds": {
"steps": [
{
"color": "green",
"value": null
}
]
}
},
"overrides": []
}
},
{
"type": "stat",
"title": "رخدادها",
"id": 2,
"datasource": {
"type": "postgres",
"uid": "bot-postgres"
},
"gridPos": {
"h": 4,
"w": 4,
"x": 4,
"y": 1
},
"targets": [
{
"refId": "A",
"format": "table",
"rawSql": "SELECT count(*) AS value FROM bot_trace_events e JOIN bot_traces t ON e.trace_id=t.id WHERE coalesce(t.source,'bale') NOT IN ('calibration','demo') AND $__timeFilter(e.created_at)"
}
]
},
{
"type": "stat",
"title": "خطای Jev / فالبک",
"id": 3,
"datasource": {
"type": "postgres",
"uid": "bot-postgres"
},
"gridPos": {
"h": 4,
"w": 4,
"x": 8,
"y": 1
},
"targets": [
{
"refId": "A",
"format": "table",
"rawSql": "SELECT count(*) AS value FROM bot_trace_events e JOIN bot_traces t ON e.trace_id=t.id WHERE (e.stage='jev.failure' OR (e.stage='jev.result' AND NOT e.ok) OR e.stage LIKE 'matching.%.failure') AND coalesce(t.source,'bale') NOT IN ('calibration','demo') AND $__timeFilter(e.created_at)"
}
],
"fieldConfig": {
"defaults": {
"color": {
"mode": "thresholds"
},
"thresholds": {
"steps": [
{
"color": "green",
"value": null
},
{
"color": "red",
"value": 1
}
]
}
},
"overrides": []
}
},
{
"type": "stat",
"title": "p95 تأخیر Jev (ms)",
"id": 4,
"datasource": {
"type": "postgres",
"uid": "bot-postgres"
},
"gridPos": {
"h": 4,
"w": 4,
"x": 12,
"y": 1
},
"targets": [
{
"refId": "A",
"format": "table",
"rawSql": "SELECT coalesce(round(percentile_cont(0.95) WITHIN GROUP (ORDER BY e.latency_ms)),0) AS value FROM bot_trace_events e JOIN bot_traces t ON e.trace_id=t.id WHERE e.stage='jev.result' AND e.latency_ms IS NOT NULL AND coalesce(t.source,'bale') NOT IN ('calibration','demo') AND $__timeFilter(e.created_at)"
}
],
"fieldConfig": {
"defaults": {
"unit": "ms"
},
"overrides": []
}
},
{
"type": "stat",
"title": "ثبت نهایی پیش‌نویس",
"id": 5,
"datasource": {
"type": "postgres",
"uid": "bot-postgres"
},
"gridPos": {
"h": 4,
"w": 4,
"x": 16,
"y": 1
},
"targets": [
{
"refId": "A",
"format": "table",
"rawSql": "SELECT count(*) AS value FROM bot_trace_events e JOIN bot_traces t ON e.trace_id=t.id WHERE e.stage='draft.commit' AND coalesce(t.source,'bale') NOT IN ('calibration','demo') AND $__timeFilter(e.created_at)"
}
]
},
{
"type": "stat",
"title": "رخداد این ماه (گارد آرشیو ۱۰۰k)",
"id": 6,
"datasource": {
"type": "postgres",
"uid": "bot-postgres"
},
"gridPos": {
"h": 4,
"w": 4,
"x": 20,
"y": 1
},
"targets": [
{
"refId": "A",
"format": "table",
"rawSql": "SELECT count(*) AS value FROM bot_trace_events WHERE created_at >= date_trunc('month', now())"
}
],
"fieldConfig": {
"defaults": {
"color": {
"mode": "thresholds"
},
"thresholds": {
"steps": [
{
"color": "green",
"value": null
},
{
"color": "orange",
"value": 50000
},
{
"color": "red",
"value": 100000
}
]
}
},
"overrides": []
}
},
{
"type": "row",
"title": "حجم و تأخیر",
"gridPos": {
"h": 1,
"w": 24,
"x": 0,
"y": 5
},
"id": 101
},
{
"type": "timeseries",
"title": "رخداد در روز (ترافیک واقعی)",
"id": 10,
"datasource": {
"type": "postgres",
"uid": "bot-postgres"
},
"gridPos": {
"h": 8,
"w": 12,
"x": 0,
"y": 6
},
"targets": [
{
"refId": "A",
"format": "time_series",
"rawSql": "SELECT $__timeGroupAlias(e.created_at,'1d'), count(*) AS value FROM bot_trace_events e JOIN bot_traces t ON e.trace_id=t.id WHERE coalesce(t.source,'bale') NOT IN ('calibration','demo') AND $__timeFilter(e.created_at) GROUP BY 1 ORDER BY 1"
}
],
"fieldConfig": {
"defaults": {
"custom": {
"drawStyle": "bars",
"fillOpacity": 60,
"lineWidth": 1
}
},
"overrides": []
}
},
{
"type": "timeseries",
"title": "تأخیر p50/p95 به تفکیک مرحله",
"id": 11,
"datasource": {
"type": "postgres",
"uid": "bot-postgres"
},
"gridPos": {
"h": 8,
"w": 12,
"x": 12,
"y": 6
},
"targets": [
{
"refId": "A",
"format": "time_series",
"rawSql": "SELECT $__timeGroupAlias(e.created_at,'1h'), round(percentile_cont(0.5) WITHIN GROUP (ORDER BY e.latency_ms)) AS p50, round(percentile_cont(0.95) WITHIN GROUP (ORDER BY e.latency_ms)) AS p95, e.stage AS metric FROM bot_trace_events e JOIN bot_traces t ON e.trace_id=t.id WHERE e.stage IN ('jev.result','nlu.result','stt.result','audio.enhance.result','matching.arbitration.result') AND e.latency_ms IS NOT NULL AND coalesce(t.source,'bale') NOT IN ('calibration','demo') AND $__timeFilter(e.created_at) GROUP BY 1, e.stage ORDER BY 1"
}
],
"fieldConfig": {
"defaults": {
"unit": "ms"
},
"overrides": []
}
},
{
"type": "row",
"title": "تطبیق موجودیت (Jev + داور DeepSeek)",
"gridPos": {
"h": 1,
"w": 24,
"x": 0,
"y": 14
},
"id": 102
},
{
"type": "piechart",
"title": "وضعیت نهایی mentionها (exact/ambiguity/new)",
"id": 20,
"datasource": {
"type": "postgres",
"uid": "bot-postgres"
},
"gridPos": {
"h": 8,
"w": 8,
"x": 0,
"y": 15
},
"targets": [
{
"refId": "A",
"format": "table",
"rawSql": "SELECT 'exact' AS metric, sum(coalesce((e.payload->'statuses'->>'exact')::int,0)) AS value FROM bot_trace_events e JOIN bot_traces t ON e.trace_id=t.id WHERE e.stage IN ('matching.arbitration.result','matching.fallback.result') AND coalesce(t.source,'bale') NOT IN ('calibration','demo') AND $__timeFilter(e.created_at) UNION ALL SELECT 'ambiguity', sum(coalesce((e.payload->'statuses'->>'ambiguity')::int,0)) FROM bot_trace_events e JOIN bot_traces t ON e.trace_id=t.id WHERE e.stage IN ('matching.arbitration.result','matching.fallback.result') AND coalesce(t.source,'bale') NOT IN ('calibration','demo') AND $__timeFilter(e.created_at) UNION ALL SELECT 'new', sum(coalesce((e.payload->'statuses'->>'new')::int,0)) FROM bot_trace_events e JOIN bot_traces t ON e.trace_id=t.id WHERE e.stage IN ('matching.arbitration.result','matching.fallback.result') AND coalesce(t.source,'bale') NOT IN ('calibration','demo') AND $__timeFilter(e.created_at) UNION ALL SELECT m->>'status', count(*) FROM bot_trace_events e JOIN bot_traces t ON e.trace_id=t.id, jsonb_array_elements(e.payload->'mentions') m WHERE e.stage='routing.decision' AND e.payload->>'source'='jev' AND coalesce(t.source,'bale') NOT IN ('calibration','demo') AND $__timeFilter(e.created_at) GROUP BY 1"
}
],
"fieldConfig": {
"defaults": {},
"overrides": []
},
"options": {
"pieType": "donut",
"legend": {
"displayMode": "table",
"placement": "right"
}
}
},
{
"type": "table",
"title": "اقدامات داور DeepSeek روی پیشنهاد Jev",
"id": 21,
"datasource": {
"type": "postgres",
"uid": "bot-postgres"
},
"gridPos": {
"h": 8,
"w": 8,
"x": 8,
"y": 15
},
"targets": [
{
"refId": "A",
"format": "table",
"rawSql": "SELECT coalesce(e.payload->'actions'->>'endorsed_jev','0')::int AS \"تأیید Jev\", coalesce(e.payload->'actions'->>'vetoed_to_new','0')::int AS \"وتو → جدید\", coalesce(e.payload->'actions'->>'demoted_to_ambiguity','0')::int AS \"تنزل → ابهام\", coalesce(e.payload->'actions'->>'other','0')::int AS \"سایر\", count(*) OVER () AS \"فراخوانی‌ها\" FROM bot_trace_events e JOIN bot_traces t ON e.trace_id=t.id WHERE e.stage='matching.arbitration.result' AND coalesce(t.source,'bale') NOT IN ('calibration','demo') AND $__timeFilter(e.created_at)"
}
],
"fieldConfig": {
"defaults": {},
"overrides": []
}
},
{
"type": "timeseries",
"title": "توکن مصرفی در زمان (ورودی/خروجی)",
"id": 22,
"datasource": {
"type": "postgres",
"uid": "bot-postgres"
},
"gridPos": {
"h": 8,
"w": 8,
"x": 16,
"y": 15
},
"targets": [
{
"refId": "A",
"format": "time_series",
"rawSql": "SELECT $__timeGroupAlias(e.created_at,'1d'), sum(coalesce((e.payload->'usage'->>'input_tokens')::bigint,0)) AS input, sum(coalesce((e.payload->'usage'->>'output_tokens')::bigint,0)) AS output FROM bot_trace_events e JOIN bot_traces t ON e.trace_id=t.id WHERE e.stage IN ('jev.result','matching.arbitration.result','matching.fallback.result') AND e.payload->'usage' IS NOT NULL AND coalesce(t.source,'bale') NOT IN ('calibration','demo') AND $__timeFilter(e.created_at) GROUP BY 1 ORDER BY 1"
}
],
"fieldConfig": {
"defaults": {
"custom": {
"drawStyle": "bars",
"fillOpacity": 50
}
},
"overrides": []
}
},
{
"type": "table",
"title": "نسخه مدل Jev دیده‌شده (پین: jev-1.13.0)",
"id": 23,
"datasource": {
"type": "postgres",
"uid": "bot-postgres"
},
"gridPos": {
"h": 6,
"w": 8,
"x": 0,
"y": 23
},
"targets": [
{
"refId": "A",
"format": "table",
"rawSql": "SELECT coalesce(e.model,'?') AS \"مدل\", count(*) AS \"تعداد\", max(e.created_at)::text AS \"آخرین بار\" FROM bot_trace_events e JOIN bot_traces t ON e.trace_id=t.id WHERE e.stage='jev.result' AND coalesce(t.source,'bale') NOT IN ('calibration','demo') AND $__timeFilter(e.created_at) GROUP BY 1 ORDER BY 2 DESC"
}
]
},
{
"type": "timeseries",
"title": "فراخوانی مراحل تطبیق (Jev/داور/فالبک)",
"id": 24,
"datasource": {
"type": "postgres",
"uid": "bot-postgres"
},
"gridPos": {
"h": 6,
"w": 8,
"x": 8,
"y": 23
},
"targets": [
{
"refId": "A",
"format": "time_series",
"rawSql": "SELECT $__timeGroupAlias(e.created_at,'1d'), count(*) AS value, e.stage AS metric FROM bot_trace_events e JOIN bot_traces t ON e.trace_id=t.id WHERE e.stage IN ('jev.request','matching.arbitration.result','matching.fallback.result') AND coalesce(t.source,'bale') NOT IN ('calibration','demo') AND $__timeFilter(e.created_at) GROUP BY 1, e.stage ORDER BY 1"
}
],
"fieldConfig": {
"defaults": {
"custom": {
"drawStyle": "bars",
"fillOpacity": 40,
"stacking": {
"mode": "normal"
}
}
},
"overrides": []
}
},
{
"type": "stat",
"title": "حجم Observability (گارد آرشیو ۵GB)",
"id": 25,
"datasource": {
"type": "postgres",
"uid": "bot-postgres"
},
"gridPos": {
"h": 6,
"w": 8,
"x": 16,
"y": 23
},
"targets": [
{
"refId": "A",
"format": "table",
"rawSql": "SELECT (pg_total_relation_size('bot_trace_events') + pg_total_relation_size('bot_traces')) AS value"
}
],
"fieldConfig": {
"defaults": {
"unit": "bytes",
"color": {
"mode": "thresholds"
},
"thresholds": {
"steps": [
{
"color": "green",
"value": null
},
{
"color": "orange",
"value": 3000000000
},
{
"color": "red",
"value": 5000000000
}
]
}
},
"overrides": []
}
},
{
"type": "row",
"title": "کیفیت و ورودی",
"gridPos": {
"h": 1,
"w": 24,
"x": 0,
"y": 29
},
"id": 103
},
{
"type": "table",
"title": "انتخاب کاربر (A/B واقعی)",
"id": 30,
"datasource": {
"type": "postgres",
"uid": "bot-postgres"
},
"gridPos": {
"h": 8,
"w": 8,
"x": 0,
"y": 30
},
"targets": [
{
"refId": "A",
"format": "table",
"rawSql": "SELECT payload->>'action' AS \"اقدام\", coalesce(payload->>'arg','-') AS \"آرگومان\", count(*) AS \"تعداد\" FROM bot_trace_events e JOIN bot_traces t ON e.trace_id=t.id WHERE e.stage='ambiguity.user_choice' AND coalesce(t.source,'bale') NOT IN ('calibration','demo') AND $__timeFilter(e.created_at) GROUP BY 1,2 UNION ALL SELECT CASE WHEN (payload->>'idx')::int = 0 THEN 'انتخاب: گزینه اول (پیشنهاد مدل)' ELSE 'انتخاب: گزینه غیراول' END, '-', count(*) FROM bot_trace_events e JOIN bot_traces t ON e.trace_id=t.id WHERE e.stage='user_choice.pick' AND coalesce(t.source,'bale') NOT IN ('calibration','demo') AND $__timeFilter(e.created_at) GROUP BY 1"
}
]
},
{
"type": "table",
"title": "سلامت STT به تفکیک پرووایدر",
"id": 31,
"datasource": {
"type": "postgres",
"uid": "bot-postgres"
},
"gridPos": {
"h": 8,
"w": 8,
"x": 8,
"y": 30
},
"targets": [
{
"refId": "A",
"format": "table",
"rawSql": "SELECT coalesce(e.payload->>'provider','?') AS \"پرووایدر\", count(*) FILTER (WHERE e.ok) AS \"موفق\", count(*) AS \"کل\", round(100.0*count(*) FILTER (WHERE e.ok)/greatest(count(*),1),1)::text || '%' AS \"نرخ موفقیت\", coalesce(round(percentile_cont(0.5) WITHIN GROUP (ORDER BY e.latency_ms))::text,'—') AS \"p50 (ms)\" FROM bot_trace_events e JOIN bot_traces t ON e.trace_id=t.id WHERE e.stage='stt.result' AND coalesce(t.source,'bale') NOT IN ('calibration','demo') AND $__timeFilter(e.created_at) GROUP BY 1 ORDER BY 2 DESC"
}
]
},
{
"type": "timeseries",
"title": "پیش‌پردازش صدا (audio.enhance)",
"id": 32,
"datasource": {
"type": "postgres",
"uid": "bot-postgres"
},
"gridPos": {
"h": 8,
"w": 8,
"x": 16,
"y": 30
},
"targets": [
{
"refId": "A",
"format": "time_series",
"rawSql": "SELECT $__timeGroupAlias(e.created_at,'1d'), count(*) FILTER (WHERE e.ok) AS value, 'موفق' AS metric FROM bot_trace_events e JOIN bot_traces t ON e.trace_id=t.id WHERE e.stage='audio.enhance.result' AND coalesce(t.source,'bale') NOT IN ('calibration','demo') AND $__timeFilter(e.created_at) GROUP BY 1 UNION ALL SELECT $__timeGroupAlias(e.created_at,'1d'), count(*) FILTER (WHERE NOT e.ok), 'ناموفق (بازگشت به صدای خام)' FROM bot_trace_events e JOIN bot_traces t ON e.trace_id=t.id WHERE e.stage='audio.enhance.result' AND coalesce(t.source,'bale') NOT IN ('calibration','demo') AND $__timeFilter(e.created_at) GROUP BY 1"
}
],
"fieldConfig": {
"defaults": {
"custom": {
"drawStyle": "bars",
"fillOpacity": 50,
"stacking": {
"mode": "normal"
}
}
},
"overrides": []
}
},
{
"type": "table",
"title": "چرخه‌ی پیش‌نویس",
"id": 33,
"datasource": {
"type": "postgres",
"uid": "bot-postgres"
},
"gridPos": {
"h": 5,
"w": 24,
"x": 0,
"y": 38
},
"targets": [
{
"refId": "A",
"format": "table",
"rawSql": "SELECT e.stage AS \"مرحله\", count(*) AS \"تعداد\" FROM bot_trace_events e JOIN bot_traces t ON e.trace_id=t.id WHERE e.stage IN ('draft.render','draft.commit','draft.cancel','ambiguity.sent') AND coalesce(t.source,'bale') NOT IN ('calibration','demo') AND $__timeFilter(e.created_at) GROUP BY 1 ORDER BY 2 DESC"
}
]
},
{
"type": "row",
"title": "کارکرد مدل‌ها",
"gridPos": {
"h": 1,
"w": 24,
"x": 0,
"y": 45
},
"id": 110
},
{
"type": "table",
"title": "رکورد عملکرد مدل‌ها (فراخوانی/موفق/p95/توکن)",
"id": 111,
"datasource": {
"type": "postgres",
"uid": "bot-postgres"
},
"gridPos": {
"h": 9,
"w": 24,
"x": 0,
"y": 46
},
"targets": [
{
"refId": "A",
"format": "table",
"rawSql": "SELECT 'Jev (تطبیق)' AS metric, count(*)::int AS value0, count(*) FILTER (WHERE e.ok)::int AS ok, coalesce(round(percentile_cont(0.95) WITHIN GROUP (ORDER BY coalesce(e.latency_ms, nullif(e.payload->>'latency_ms','')::int))),0)::int AS p95, coalesce(sum((e.payload->'usage'->>'input_tokens')::bigint),0)::bigint AS tin, coalesce(sum((e.payload->'usage'->>'output_tokens')::bigint),0)::bigint AS tout FROM bot_trace_events e JOIN bot_traces t ON e.trace_id=t.id WHERE coalesce(t.source,'bale') NOT IN ('calibration','demo') AND $__timeFilter(e.created_at) AND e.stage = 'jev.result' UNION ALL SELECT 'داور DeepSeek' AS metric, count(*)::int AS value0, count(*) FILTER (WHERE e.ok)::int AS ok, coalesce(round(percentile_cont(0.95) WITHIN GROUP (ORDER BY coalesce(e.latency_ms, nullif(e.payload->>'latency_ms','')::int))),0)::int AS p95, coalesce(sum((e.payload->'usage'->>'input_tokens')::bigint),0)::bigint AS tin, coalesce(sum((e.payload->'usage'->>'output_tokens')::bigint),0)::bigint AS tout FROM bot_trace_events e JOIN bot_traces t ON e.trace_id=t.id WHERE coalesce(t.source,'bale') NOT IN ('calibration','demo') AND $__timeFilter(e.created_at) AND e.stage = 'matching.arbitration.result' UNION ALL SELECT 'فالبک DeepSeek' AS metric, count(*)::int AS value0, count(*) FILTER (WHERE e.ok)::int AS ok, coalesce(round(percentile_cont(0.95) WITHIN GROUP (ORDER BY coalesce(e.latency_ms, nullif(e.payload->>'latency_ms','')::int))),0)::int AS p95, coalesce(sum((e.payload->'usage'->>'input_tokens')::bigint),0)::bigint AS tin, coalesce(sum((e.payload->'usage'->>'output_tokens')::bigint),0)::bigint AS tout FROM bot_trace_events e JOIN bot_traces t ON e.trace_id=t.id WHERE coalesce(t.source,'bale') NOT IN ('calibration','demo') AND $__timeFilter(e.created_at) AND e.stage = 'matching.fallback.result' UNION ALL SELECT 'NLU (DeepSeek)' AS metric, count(*)::int AS value0, count(*) FILTER (WHERE e.ok)::int AS ok, coalesce(round(percentile_cont(0.95) WITHIN GROUP (ORDER BY coalesce(e.latency_ms, nullif(e.payload->>'latency_ms','')::int))),0)::int AS p95, coalesce(sum((e.payload->'usage'->>'input_tokens')::bigint),0)::bigint AS tin, coalesce(sum((e.payload->'usage'->>'output_tokens')::bigint),0)::bigint AS tout FROM bot_trace_events e JOIN bot_traces t ON e.trace_id=t.id WHERE coalesce(t.source,'bale') NOT IN ('calibration','demo') AND $__timeFilter(e.created_at) AND e.stage = 'nlu.result' UNION ALL SELECT 'پیش‌پردازش صدا' AS metric, count(*)::int AS value0, count(*) FILTER (WHERE e.ok)::int AS ok, coalesce(round(percentile_cont(0.95) WITHIN GROUP (ORDER BY coalesce(e.latency_ms, nullif(e.payload->>'latency_ms','')::int))),0)::int AS p95, coalesce(sum((e.payload->'usage'->>'input_tokens')::bigint),0)::bigint AS tin, coalesce(sum((e.payload->'usage'->>'output_tokens')::bigint),0)::bigint AS tout FROM bot_trace_events e JOIN bot_traces t ON e.trace_id=t.id WHERE coalesce(t.source,'bale') NOT IN ('calibration','demo') AND $__timeFilter(e.created_at) AND e.stage = 'audio.enhance.result' UNION ALL SELECT coalesce(e.model, e.payload->>'provider','stt') || ' (STT)' AS metric, count(*)::int, count(*) FILTER (WHERE e.ok)::int, coalesce(round(percentile_cont(0.95) WITHIN GROUP (ORDER BY coalesce(e.latency_ms, nullif(e.payload->>'latency_ms','')::int))),0)::int, 0::bigint, 0::bigint FROM bot_trace_events e JOIN bot_traces t ON e.trace_id=t.id WHERE coalesce(t.source,'bale') NOT IN ('calibration','demo') AND $__timeFilter(e.created_at) AND e.stage='stt.result' GROUP BY 1 ORDER BY 2 DESC"
}
],
"fieldConfig": {
"defaults": {
"custom": {
"align": "auto"
}
},
"overrides": []
}
}
],
"templating": {
"list": []
}
}
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