52c4cb1dee
1. Recherche: fetchChunkSnippets() — après le classement RRF existant, récupère les passages précis qui matchent depuis NoteEmbeddingChunk. Pur affichage, AUCUN changement de classement. 2. Script migration: scripts/migrate-chunk-embeddings.ts Indexe toutes les notes existantes en fragments. Batch de 10, barre de progression. Usage: npx tsx scripts/migrate-chunk-embeddings.ts 3. Memory Echo chunk-level: à faire (US restante)
41 lines
863 B
YAML
41 lines
863 B
YAML
global:
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scrape_interval: 15s
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evaluation_interval: 15s
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rule_files:
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- /etc/prometheus/alerts.yml
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alerting:
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alertmanagers:
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- static_configs:
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- targets: ['alertmanager:9093']
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scrape_configs:
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- job_name: 'memento-app'
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metrics_path: '/api/metrics'
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authorization:
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credentials_file: /etc/prometheus/metrics-token
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static_configs:
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- targets: ['memento-note:3000']
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- job_name: 'mcp-server'
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metrics_path: '/metrics'
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static_configs:
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- targets: ['mcp-server:3001']
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- job_name: 'node-exporter'
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static_configs:
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- targets: ['node-exporter:9100']
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- job_name: 'postgres'
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static_configs:
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- targets: ['postgres-exporter:9187']
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- job_name: 'redis'
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static_configs:
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- targets: ['redis-exporter:9121']
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- job_name: 'cadvisor'
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static_configs:
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- targets: ['cadvisor:8080']
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