Files
Brancheneinstufung2/docker-compose.yml
Floke e8c2cdfff9 [32788f42] Keine Zusammenfassung angegeben.
Keine Zusammenfassung angegeben.
2026-04-08 16:39:30 +00:00

294 lines
8.2 KiB
YAML

# WICHTIGER HINWEIS: Diese Version konzentriert sich auf den stabilen Core-Stack.
# Alle nicht essenziellen Dienste sind auskommentiert, um Build-Fehler zu vermeiden.
version: '3.8'
services:
# --- GATEKEEPER (NGINX) ---
nginx:
image: nginx:alpine
container_name: gateway_proxy
restart: unless-stopped
ports:
- "8090:80"
volumes:
- ./nginx-proxy-clean.conf:/etc/nginx/nginx.conf:ro
- ./.htpasswd:/etc/nginx/.htpasswd:ro
depends_on:
dashboard:
condition: service_started
company-explorer:
condition: service_healthy
# connector-superoffice:
# condition: service_healthy
# lead-engine:
# condition: service_started
# gtm-architect:
# condition: service_started
# b2b-marketing-assistant:
# condition: service_started
transcription-tool:
condition: service_started
# heatmap-frontend:
# condition: service_started
# competitor-analysis:
# condition: service_started
# content-engine:
# condition: service_started
# market-intelligence:
# condition: service_started
fotograf-de-scraper-frontend:
condition: service_started
# --- DASHBOARD ---
dashboard:
image: nginx:alpine
container_name: dashboard
restart: unless-stopped
volumes:
- ./dashboard:/usr/share/nginx/html:ro
# --- APPS ---
# market-intelligence:
# build:
# context: .
# dockerfile: general-market-intelligence/Dockerfile.fullstack
# container_name: market-intelligence
# restart: unless-stopped
# ports:
# - "8098:3001"
# environment:
# GEMINI_API_KEY: "${GEMINI_API_KEY}"
# SERP_API_KEY: "${SERP_API}"
# PYTHONUNBUFFERED: "1"
# volumes:
# - market_intel_data:/data
# - ./Log_from_docker:/app/Log
# content-engine:
# build:
# context: .
# dockerfile: content-engine/Dockerfile
# container_name: content-engine
# restart: unless-stopped
# ports:
# - "8093:3000"
# environment:
# GEMINI_API_KEY: "${GEMINI_API_KEY}"
# PYTHONUNBUFFERED: "1"
# GTM_DB_PATH: "/gtm_data/gtm_projects.db"
# CONTENT_DB_PATH: "/data/content_engine.db"
# volumes:
# - content_engine_data:/data
# - gtm_architect_data:/gtm_data:ro
# - ./Log_from_docker:/app/logs_debug
# healthcheck:
# test: ["CMD", "curl", "-f", "http://localhost:3006"]
# interval: 10s
# timeout: 5s
# retries: 5
# start_period: 30s
# competitor-analysis:
# build:
# context: ./competitor-analysis-app
# dockerfile: Dockerfile
# container_name: competitor-analysis
# restart: unless-stopped
# ports:
# - "8097:3000"
# environment:
# GEMINI_API_KEY: "${GEMINI_API_KEY}"
# PYTHONUNBUFFERED: "1"
# volumes:
# - competitor_analysis_data:/data
# - ./Log_from_docker:/app/logs_debug
transcription-tool:
build:
context: ./transcription-tool
dockerfile: Dockerfile
container_name: transcription-tool
restart: unless-stopped
ports:
- "8001:8001"
environment:
GEMINI_API_KEY: "${GEMINI_API_KEY}"
UPLOAD_DIR: "/app/uploads"
volumes:
- transcription_uploads:/app/uploads
- ./Log_from_docker:/app/logs_debug
# heatmap-backend:
# build:
# context: ./heatmap-tool/backend
# container_name: heatmap-backend
# restart: unless-stopped
# ports:
# - "8002:8000"
# environment:
# ORS_API_KEY: "${ORS_API_KEY}"
# PYTHONUNBUFFERED: "1"
# heatmap-frontend:
# build:
# context: ./heatmap-tool/frontend
# dockerfile: Dockerfile
# container_name: heatmap-frontend
# restart: unless-stopped
# ports:
# - "8096:80"
# depends_on:
# - heatmap-backend
# b2b-marketing-assistant:
# build:
# context: .
# dockerfile: b2b-marketing-assistant/Dockerfile
# container_name: b2b-marketing-assistant
# restart: unless-stopped
# ports:
# - "8092:3002"
# environment:
# GEMINI_API_KEY: "${GEMINI_API_KEY}"
# PYTHONUNBUFFERED: "1"
# volumes:
# - b2b_marketing_data:/data
# - ./Log_from_docker:/app/logs_debug
# gtm-architect:
# build:
# context: .
# dockerfile: gtm-architect/Dockerfile
# container_name: gtm-architect
# restart: unless-stopped
# ports:
# - "8094:80"
# environment:
# GEMINI_API_KEY: "${GEMINI_API_KEY}"
# VITE_API_BASE_URL: "/gtm/api"
# GTM_DB_PATH: "/data/gtm_projects.db"
# volumes:
# - ./Log_from_docker:/app/logs_debug
# - gtm_architect_data:/data
company-explorer:
build:
context: ./company-explorer
dockerfile: Dockerfile
container_name: company-explorer
restart: unless-stopped
ports:
- "8000:8000"
environment:
API_USER: "admin"
API_PASSWORD: "gemini"
PYTHONUNBUFFERED: "1"
DATABASE_URL: "sqlite:////data/companies_v3_fixed_2.db"
GEMINI_API_KEY: "${GEMINI_API_KEY}"
SERP_API_KEY: "${SERP_API}"
NOTION_TOKEN: "${NOTION_API_KEY}"
volumes:
- ./company-explorer:/app
- ./company-explorer/data:/data # Local bind mount for guaranteed persistence
- ./Log_from_docker:/app/logs_debug
healthcheck:
test: ["CMD", "curl", "-f", "http://localhost:8000/docs"]
interval: 10s
timeout: 5s
retries: 5
start_period: 30s
# connector-superoffice:
# build:
# context: ./connector-superoffice
# dockerfile: Dockerfile
# container_name: connector-superoffice
# restart: unless-stopped
# ports:
# - "8003:8000"
# volumes:
# - ./connector-superoffice:/app
# - ./connector-superoffice/data:/data # Persistent local DB storage
# environment:
# PYTHONUNBUFFERED: "1"
# GEMINI_API_KEY: "${GEMINI_API_KEY}"
# SO_CLIENT_ID: "${SO_CLIENT_ID}"
# SO_CLIENT_SECRET: "${SO_CLIENT_SECRET}"
# SO_REFRESH_TOKEN: "${SO_REFRESH_TOKEN}"
# SO_ENVIRONMENT: "${SO_ENVIRONMENT}"
# SO_CONTEXT_IDENTIFIER: "${SO_CONTEXT_IDENTIFIER}"
# WEBHOOK_TOKEN: "${WEBHOOK_TOKEN}"
# WEBHOOK_SECRET: "${WEBHOOK_SECRET}"
# healthcheck:
# test: ["CMD", "curl", "-f", "http://localhost:8000/health"]
# interval: 10s
# timeout: 5s
# retries: 5
# start_period: 30s
# lead-engine:
# build:
# context: ./lead-engine
# dockerfile: Dockerfile
# container_name: lead-engine
# restart: unless-stopped
# ports:
# - "8501:8501" # UI (Streamlit)
# - "8004:8004" # API / Monitor
# - "8099:8004" # Direct Test Port
# environment:
# PYTHONUNBUFFERED: "1"
# GEMINI_API_KEY: "${GEMINI_API_KEY}"
# SERP_API: "${SERP_API}"
# INFO_Application_ID: "${INFO_Application_ID}"
# INFO_Tenant_ID: "${INFO_Tenant_ID}"
# INFO_Secret: "${INFO_Secret}"
# CAL_APPID: "${CAL_APPID}"
# CAL_SECRET: "${CAL_SECRET}"
# CAL_TENNANT_ID: "${CAL_TENNANT_ID}"
# TEAMS_WEBHOOK_URL: "${TEAMS_WEBHOOK_URL}"
# FEEDBACK_SERVER_BASE_URL: "${FEEDBACK_SERVER_BASE_URL}"
# WORDPRESS_BOOKING_URL: "${WORDPRESS_BOOKING_URL}"
# MS_BOOKINGS_URL: "${MS_BOOKINGS_URL}"
# volumes:
# - ./lead-engine:/app
# - ./lead-engine/data:/app/data # Local persistent database
fotograf-de-scraper-backend:
build:
context: ./fotograf-de-scraper/backend
dockerfile: Dockerfile
container_name: fotograf-de-scraper-backend
env_file:
- ./fotograf-de-scraper/.env
environment:
- TZ=Europe/Berlin
ports:
- "8002:8000"
volumes:
- ./fotograf-de-scraper/backend:/app
- ./fotograf-de-scraper/backend/data:/app/data
restart: unless-stopped
fotograf-de-scraper-frontend:
build:
context: ./fotograf-de-scraper/frontend
dockerfile: Dockerfile
args:
VITE_API_BASE_URL: "http://192.168.178.6:8002"
container_name: fotograf-de-scraper-frontend
ports:
- "3009:80"
depends_on:
- fotograf-de-scraper-backend
restart: unless-stopped
volumes:
gtm_architect_data: {}
b2b_marketing_data: {}
transcription_uploads: {}
content_engine_data: {}
competitor_analysis_data: {}
market_intel_data: {}