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https://github.com/umami-software/umami.git
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5f496fdb79
Enhanced Umami Analytics with First8 Marketing integration for hyper-personalized recommendation engine. Database Enhancements: - PostgreSQL 17 with Apache AGE 1.6.0 (graph database) - TimescaleDB 2.23.0 (time-series optimization) - Extended schema for WooCommerce event tracking - Custom tables for recommendation engine integration Features Added: - Real-time ETL pipeline to recommendation engine - Extended event tracking (WordPress + WooCommerce) - Graph database for relationship mapping - Time-series optimization for analytics queries - Custom migrations for hyper-personalization Documentation: - Updated README with integration details - Added system architecture documentation - Documented data flow and components - Preserved original Umami Software credits Integration Components: - First8 Marketing Track plugin (event tracking) - Recommendation Engine (ML backend) - First8 Marketing Recommendation Engine plugin (presentation) Status: Production-ready Version: Based on Umami latest + First8 Marketing enhancements
114 lines
2.8 KiB
YAML
114 lines
2.8 KiB
YAML
---
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# Docker Compose for Umami with PostgreSQL 17 + Apache AGE + TimescaleDB
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# This is the upgraded configuration for the hyper-personalized marketing system
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services:
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umami:
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image: ghcr.io/umami-software/umami:postgresql-latest
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ports:
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- "3000:3000"
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environment:
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DATABASE_URL: postgresql://umami:umami@db:5432/umami
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DATABASE_TYPE: postgresql
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APP_SECRET: ${APP_SECRET:-replace-me-with-a-random-string}
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# Optional: Enable debug logging
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# LOG_QUERY: 1
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depends_on:
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db:
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condition: service_healthy
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init: true
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restart: always
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healthcheck:
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test: ["CMD-SHELL", "curl http://localhost:3000/api/heartbeat"]
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interval: 5s
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timeout: 5s
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retries: 5
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networks:
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- umami-network
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db:
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# Custom PostgreSQL 17 image with Apache AGE and TimescaleDB
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build:
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context: ./docker/postgres
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dockerfile: Dockerfile
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image: postgres:17-age-timescaledb
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environment:
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POSTGRES_DB: umami
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POSTGRES_USER: umami
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POSTGRES_PASSWORD: ${POSTGRES_PASSWORD:-umami}
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# TimescaleDB configuration
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TIMESCALEDB_TELEMETRY: 'off'
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volumes:
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- umami-db-data:/var/lib/postgresql/data
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# Mount initialization scripts
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- ./docker/postgres/init-scripts:/docker-entrypoint-initdb.d
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ports:
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- "5432:5432"
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restart: always
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healthcheck:
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test: ["CMD-SHELL", "pg_isready -U $${POSTGRES_USER} -d $${POSTGRES_DB}"]
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interval: 5s
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timeout: 5s
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retries: 5
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networks:
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- umami-network
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# Increase shared memory for better performance
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shm_size: 256mb
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# PostgreSQL configuration for performance
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command:
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- "postgres"
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- "-c"
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- "shared_preload_libraries=timescaledb,age"
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- "-c"
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- "max_connections=200"
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- "-c"
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- "shared_buffers=256MB"
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- "-c"
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- "effective_cache_size=1GB"
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- "-c"
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- "maintenance_work_mem=128MB"
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- "-c"
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- "checkpoint_completion_target=0.9"
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- "-c"
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- "wal_buffers=16MB"
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- "-c"
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- "default_statistics_target=100"
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- "-c"
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- "random_page_cost=1.1"
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- "-c"
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- "effective_io_concurrency=200"
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- "-c"
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- "work_mem=4MB"
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- "-c"
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- "min_wal_size=1GB"
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- "-c"
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- "max_wal_size=4GB"
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# Optional: pgAdmin for database management
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pgadmin:
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image: dpage/pgadmin4:latest
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environment:
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PGADMIN_DEFAULT_EMAIL: ${PGADMIN_EMAIL:-admin@umami.local}
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PGADMIN_DEFAULT_PASSWORD: ${PGADMIN_PASSWORD:-admin}
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PGADMIN_CONFIG_SERVER_MODE: 'False'
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ports:
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- "5050:80"
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volumes:
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- pgadmin-data:/var/lib/pgadmin
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depends_on:
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- db
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restart: always
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networks:
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- umami-network
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profiles:
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- tools
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volumes:
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umami-db-data:
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driver: local
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pgadmin-data:
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driver: local
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networks:
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umami-network:
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driver: bridge
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