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Deal/deploy/observability/grafana/dashboards/Deal-Metrics-Overview.json
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Rustam Khalimov 27c7831910
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Deal — единая кодовая база
SaaS-мониторинг Telegram: ядро (модули Cards/Kanban/Pipeline/Tenants/Settings/
Discovery, Api, Infrastructure), сервисы telegram/ai/ml/storage, фронт Vue,
контракты и grpc-hosting, деплой-конфиги (dev/prod/observability/CI-раннер),
Gitea Actions CI, документация (ТЗ, техдок, api-map, код-стайл, планы, бэклог).

Текущее состояние: все этапы роадмапа 0–12 закрыты, сборка 5 sln 0/0,
тесты 1340/130/52/38/9 зелёные.
2026-09-11 23:56:47 +03:00

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"description": "Суммарная нагрузка всех deal-процессов (HTTP + gRPC) в секунду. Источник — OTel-инструментация ASP.NET Core (метрика http.server.request.duration, счётчик _count), scrape /metrics :9464.",
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"expr": "sum(rate(http_server_request_duration_seconds_count[$__rate_interval]))",
"legendFormat": "RPS",
"refId": "A"
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"title": "RPS (HTTP+gRPC) сейчас",
"type": "stat"
},
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"uid": "prometheus"
},
"description": "Активные непросроченные сессии пользователей тенантов и операторов (public.sessions + public.operator_sessions). Агрегат по всем тенантам — в метке нет tenantId (низкая кардинальность).",
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"expr": "deal_sessions_active",
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"title": "Активные сессии",
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{
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"uid": "prometheus"
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"description": "Суммарная глубина очереди пайплайна (new+filtered) по всем тенантам; считает фоновый DealMetricsCollector через PipelineProcessingService.QueueCountsAsync.",
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"editorMode": "code",
"expr": "deal_pipeline_queue_depth",
"legendFormat": "очередь",
"refId": "A"
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"title": "Очередь пайплайна",
"type": "stat"
},
{
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"uid": "prometheus"
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"description": "Суммарная глубина очереди обучения ML (MlOutbox) по всем тенантам; считает фоновый DealMetricsCollector через IMlLearningStore.CountOutboxAsync. Рост при недоступности ml-service.",
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"title": "Очередь ML-outbox",
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{
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"description": "RPS по сервисам (метка service из таргетов Prometheus). Включает HTTP-запросы core и gRPC-вызовы всех 4 процессов (gRPC идёт как ASP.NET Core-запрос с route = имя метода).",
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"description": "p95 длительности запроса по сервисам (OTel-гистограмма http.server.request.duration). Рост при недоступности БД/внешних вызовов (ИИ-провайдер, ml/telegram-service).",
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"description": "Доля HTTP/gRPC-запросов с кодом ответа 5xx в секунду по сервисам (метка http_response_status_code).",
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"description": "Токены платного ИИ (по видам prompt/completion) и оценка токенов локальных ML-вызовов, токенов/сек. Инкремент — общая с ядром точка записи token_usage_events (TokenUsageRecorder).",
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"editorMode": "code",
"expr": "sum by (type) (rate(deal_ai_tokens_total[$__rate_interval]))",
"legendFormat": "ai/{{type}}",
"refId": "A"
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{
"datasource": {
"type": "prometheus",
"uid": "prometheus"
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"editorMode": "code",
"expr": "sum(rate(deal_ml_tokens_total[$__rate_interval]))",
"legendFormat": "ml/prompt",
"refId": "B"
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"title": "Токены AI/ML, tokens/s",
"type": "timeseries"
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"uid": "prometheus"
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"description": "Вызовы платного ИИ и локального ML в секунду (соответствуют событиям token_usage_events: kind=ai|ml).",
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"title": "Вызовы AI/ML, calls/s",
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"description": "Топ-10 типов событий аудита по частоте (метки event/actor низкокардинальные; tenantId/userId в метрики не попадают). Полная лента с актором — public.audit_log через GET /api/operator/audit.",
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"title": "Deal-Metrics-Overview",
"uid": "deal-metrics",
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}