add docker compose
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name: booksync
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volumes:
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prometheus-data:
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grafana-data:
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postgres-data:
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pgadmin-data:
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flower-data:
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networks:
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booksync-front:
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booksync-back:
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services:
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####################################
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# Tableau de bord Plotly Dash : démonstration autonome
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#
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dash:
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image: booksync-dash:latest
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hostname: booksync-dash
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ports:
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- "8050:8050"
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networks:
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- booksync-front
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healthcheck:
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test:
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- CMD
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- python
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- -c
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- "import urllib.request; urllib.request.urlopen('http://127.0.0.1:8050/health', timeout=3)"
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interval: 10s
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timeout: 5s
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retries: 3
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start_period: 10s
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restart: unless-stopped
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####################################
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# Prometheus enregistre des métriques en temps réel dans une base de données de séries temporelles.
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# Pour enregistrer les métrique, Prometheus se base sur le contenu de point d'entrée exposé à l'aide du protocole HTTP (/metrics).
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# Son rôle est de collecter les métriques de chaque service.
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#
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prometheus:
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image: prom/prometheus:latest
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hostname: prometheus
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container_name: prometheus
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volumes:
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- prometheus-data:/prometheus
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- ./_docker/prometheus/prometheus.yml:/etc/prometheus/prometheus.yml
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- ./_docker/alertmanager/alert.rules/alerts.rules.yml:/alertmanager/alert.rules/alerts.rules.yml
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command:
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- '--config.file=/etc/prometheus/prometheus.yml'
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- '--storage.tsdb.path=/prometheus'
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- '--storage.tsdb.retention.time=365d'
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ports:
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- 9090:9090
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networks:
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- booksync-back
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restart: always
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####################################
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# Exporte les métriques de la machine
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#
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node_exporter:
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image: prom/node-exporter:latest
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hostname: node-exporter
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container_name: node-exporter
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ports:
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- 9100:9100
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networks:
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- booksync-back
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restart: always
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####################################
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# Gestionnaire d'alertes
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#
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alertmanager:
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image: prom/alertmanager:latest
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hostname: alertmanager
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container_name: alertmanager
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volumes:
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- ./_docker/alertmanager/alertmanager.yml:/etc/alertmanager/alertmanager.yml
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- ./_docker/alertmanager/templates/default.tmpl:/etc/alertmanager/templates/default.tmpl
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command:
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- '--config.file=/etc/alertmanager/alertmanager.yml'
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ports:
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- 9093:9093
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networks:
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- booksync-back
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restart: always
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####################################
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# Permet la visualisation de données. Il permet de réaliser des tableaux de bord et des graphiques depuis plusieurs sources dont des bases de données temporelles
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# Monitoring des métriques
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#
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grafana:
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image: grafana/grafana:latest
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hostname: grafana
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container_name: grafana
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environment:
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- GF_PATHS_CONFIG=/etc/grafana/grafana.ini
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volumes:
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- grafana-data:/var/lib/grafana
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- ./_docker/grafana/datasource.yml:/etc/grafana/provisioning/datasources/datasource.yml
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- ./_docker/grafana/dashboards.yml:/etc/grafana/provisioning/dashboards/dashboards.yml
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- ./_docker/grafana/grafana.ini:/etc/grafana/grafana.ini
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- ./_docker/grafana/dashboards:/var/lib/grafana/dashboards
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ports:
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- 3000:3000
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networks:
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- booksync-back
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depends_on:
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- prometheus
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restart: always
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####################################
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# Base de donnée relationnelle
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#
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postgres:
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image: pgvector/pgvector:pg17
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hostname: postgres
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container_name: postgres
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environment:
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POSTGRES_DB: postgres
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POSTGRES_USER: postgres
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POSTGRES_PASSWORD: postgres
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volumes:
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- postgres-data:/var/lib/postgresql/data
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- ./_docker/postgres/create_tables.sql:/docker-entrypoint-initdb.d/create_tables.sql
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healthcheck:
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test: [ "CMD", "pg_isready", "-q", "-d", "postgres", "-U", "postgres" ]
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timeout: 45s
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interval: 10s
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retries: 10
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ports:
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- 5432:5432
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networks:
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- booksync-back
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restart: unless-stopped
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####################################
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# Exporte des métriques de la base de données
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#
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postgres-exporter:
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image: bitnami/postgres-exporter:latest
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hostname: postgres-exporter
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container_name: postgres-exporter
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environment:
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DATA_SOURCE_URI: postgres:5432/postgres?sslmode=disable
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DATA_SOURCE_USER: postgres
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DATA_SOURCE_PASS: postgres
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ports:
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- 9187:9187
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networks:
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- booksync-back
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depends_on:
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- postgres
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restart: always
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####################################
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# Administration de la base de donnée relationnelle
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#
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pgadmin:
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image: dpage/pgadmin4:latest
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hostname: pgadmin
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container_name: pgadmin
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environment:
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PGADMIN_DEFAULT_EMAIL: admin@domain.com
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PGADMIN_DEFAULT_PASSWORD: admin
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PGADMIN_CONFIG_SERVER_MODE: 'False'
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volumes:
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- pgadmin-data:/var/lib/pgadmin
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ports:
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- 5050:80
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networks:
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- booksync-back
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depends_on:
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- postgres
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restart: unless-stopped
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####################################
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# Agent de messages pour celery (broker), il est utilisé comme middleware entre des producers et des workers
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# Exporte ses propres métriques
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#
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rabbitmq:
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image: rabbitmq:3-management
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hostname: rabbitmq
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container_name: rabbitmq
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healthcheck:
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test: ["CMD", "rabbitmq-diagnostics", "-q", "check_port_connectivity"]
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interval: 10s
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timeout: 5s
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retries: 10
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start_period: 15s
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ports:
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- 5672:5672
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- 15672:15672
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networks:
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- booksync-back
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restart: unless-stopped
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####################################
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# Mémoire cache pour celery (result backend), il est utilisé comme middleware entre des producers et des workers
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#
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redis:
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image: redis:latest
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hostname: redis
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container_name: redis
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environment:
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- ALLOW_EMPTY_PASSWORD=yes
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healthcheck:
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test: ["CMD", "redis-cli", "ping"]
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interval: 10s
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timeout: 5s
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retries: 10
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start_period: 5s
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ports:
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- 6379:6379
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networks:
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- booksync-back
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restart: unless-stopped
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####################################
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# Exporteur des métriques redis
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#
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redis-exporter:
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image: bitnami/redis-exporter:latest
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hostname: redis-exporter
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container_name: redis-exporter
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environment:
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REDIS_ADDR: redis://redis:6379
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ports:
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- 9121:9121
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networks:
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- booksync-back
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depends_on:
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- redis
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restart: always
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####################################
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# Exporteur des métriques celery & monitoring des workers
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#
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flower:
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image: mher/flower:latest
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hostname: flower
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container_name: flower
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environment:
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CELERY_BROKER_URL: "pyamqp://guest:guest@rabbitmq:5672//"
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CELERY_RESULT_BACKEND: "redis://redis:6379/0"
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FLOWER_BROKER_API: "http://guest:guest@rabbitmq:15672/api/"
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FLOWER_PORT: "5555"
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FLOWER_PERSISTENT: "true"
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ports:
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- 5555:5555
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networks:
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- booksync-back
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depends_on:
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rabbitmq:
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condition: service_healthy
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redis:
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condition: service_healthy
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restart: always
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####################################
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# API REST basée sur FastAPI
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# Contiens :
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# - des requêtes à la base de donnée relationnelle
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# Producteur de tâches celery
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#
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api:
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image: booksync-api:latest
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hostname: booksync-api
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command: [
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"uvicorn",
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"api:app",
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"--host",
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"0.0.0.0",
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"--port",
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"5001",
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"--workers",
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"2",
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"--log-level",
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"info"]
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environment:
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POSTGRES_DATABASE_URL: postgresql+asyncpg://postgres:postgres@postgres/postgres
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CELERY_BROKER_URL: pyamqp://guest:guest@rabbitmq:5672//
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CELERY_RESULT_BACKEND_URL: redis://redis:6379/0
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MANGACOLLEC_ID: 38fee110b53a75af6cc72f6fb66fa504fc6241e566788f4b2f5b21c25ba2fefb
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MANGACOLLEC_SECRET: 060658630f7d199c19ab1cf34ed4e50935c748267e318a24e048d6ab45871da2
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ports:
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- 5001:5001
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networks:
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- booksync-back
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- booksync-front
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depends_on:
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- rabbitmq
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- redis
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restart: always
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####################################
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# Worker basé sur celery
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# 5 Replicas sont créer
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#
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worker:
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image: booksync-worker:latest
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deploy:
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replicas: 5
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command: [
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"celery",
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"-A",
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"tasks:app",
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"worker",
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"--pool",
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"prefork",
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"-Q",
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"booksync-worker",
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"--concurrency=3",
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"-n",
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"booksync-worker@%h",
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"--loglevel",
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"INFO"]
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environment:
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CELERY_BROKER_URL: pyamqp://guest:guest@rabbitmq:5672//
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CELERY_RESULT_BACKEND_URL: redis://redis:6379/0
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MANGACOLLEC_ID: 38fee110b53a75af6cc72f6fb66fa504fc6241e566788f4b2f5b21c25ba2fefb
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MANGACOLLEC_SECRET: 060658630f7d199c19ab1cf34ed4e50935c748267e318a24e048d6ab45871da2
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networks:
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- booksync-back
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depends_on:
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flower:
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condition: service_started
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rabbitmq:
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condition: service_healthy
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redis:
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condition: service_healthy
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restart: always
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Block a user