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services:
# FhirFlame Local with Ollama + A2A API
fhirflame-local:
build:
context: .
dockerfile: Dockerfile
image: fhirflame-local:latest
container_name: fhirflame-local
ports:
- "${GRADIO_PORT:-7860}:7860" # Gradio UI
environment:
- PYTHONPATH=/app
- GRADIO_SERVER_NAME=0.0.0.0
- DEPLOYMENT_TARGET=local
# Ollama Configuration
- USE_REAL_OLLAMA=${USE_REAL_OLLAMA:-true}
- OLLAMA_BASE_URL=${OLLAMA_BASE_URL:-http://ollama:11434}
- OLLAMA_MODEL=${OLLAMA_MODEL:-codellama:13b-instruct}
# Environment
- FHIRFLAME_DEV_MODE=${FHIRFLAME_DEV_MODE:-true}
- FHIR_VERSION=${FHIR_VERSION:-R4}
- ENABLE_HIPAA_LOGGING=${ENABLE_HIPAA_LOGGING:-true}
# API Keys (from .env)
- HF_TOKEN=${HF_TOKEN}
- MISTRAL_API_KEY=${MISTRAL_API_KEY}
# Fallback Configuration
- USE_MISTRAL_FALLBACK=${USE_MISTRAL_FALLBACK:-true}
- USE_MULTIMODAL_FALLBACK=${USE_MULTIMODAL_FALLBACK:-true}
volumes:
- ./src:/app/src
- ./tests:/app/tests
- ./logs:/app/logs
- ./.env:/app/.env
- ./frontend_ui.py:/app/frontend_ui.py
- ./app.py:/app/app.py
depends_on:
ollama:
condition: service_healthy
networks:
- fhirflame-local
command: python app.py
healthcheck:
test: ["CMD", "curl", "-f", "http://localhost:7860"]
interval: 30s
timeout: 10s
retries: 3
# A2A API Server for service integration
fhirflame-a2a-api:
build:
context: .
dockerfile: Dockerfile
image: fhirflame-local:latest
container_name: fhirflame-a2a-api
ports:
- "${A2A_API_PORT:-8000}:8000" # A2A API
environment:
- PYTHONPATH=/app
- FHIRFLAME_DEV_MODE=${FHIRFLAME_DEV_MODE:-true}
- FHIRFLAME_API_KEY=${FHIRFLAME_API_KEY:-fhirflame-dev-key}
- PORT=${A2A_API_PORT:-8000}
# Disable Auth0 for local development
- AUTH0_DOMAIN=${AUTH0_DOMAIN:-}
- AUTH0_AUDIENCE=${AUTH0_AUDIENCE:-}
volumes:
- ./src:/app/src
- ./.env:/app/.env
networks:
- fhirflame-local
command: python -c "from src.mcp_a2a_api import app; import uvicorn; uvicorn.run(app, host='0.0.0.0', port=8000)"
healthcheck:
test: ["CMD", "curl", "-f", "http://localhost:8000/health"]
interval: 30s
timeout: 10s
retries: 3
# Ollama for local AI processing
ollama:
image: ollama/ollama:latest
container_name: fhirflame-ollama-local
ports:
- "${OLLAMA_PORT:-11434}:11434"
volumes:
- ollama_local_data:/root/.ollama
environment:
- OLLAMA_HOST=${OLLAMA_HOST:-0.0.0.0}
- OLLAMA_ORIGINS=${OLLAMA_ORIGINS:-*}
networks:
- fhirflame-local
healthcheck:
test: ["CMD", "ollama", "list"]
interval: 30s
timeout: 10s
retries: 3
start_period: 60s
# GPU support (uncomment if NVIDIA GPU available)
deploy:
resources:
reservations:
devices:
- driver: nvidia
count: 1
capabilities: [gpu]
# Comment out the deploy section above if no GPU available
# Ollama model downloader
ollama-model-downloader:
image: ollama/ollama:latest
container_name: ollama-model-downloader
depends_on:
ollama:
condition: service_healthy
environment:
- OLLAMA_HOST=http://ollama:11434
volumes:
- ollama_local_data:/root/.ollama
networks:
- fhirflame-local
entrypoint: ["/bin/sh", "-c"]
command: >
"echo '🦙 Downloading CodeLlama model for local processing...' &&
ollama pull codellama:13b-instruct &&
echo '✅ CodeLlama 13B model downloaded and ready for medical processing!'"
restart: "no"
# Langfuse Database for monitoring
langfuse-db:
image: postgres:15
container_name: langfuse-db-local
environment:
- POSTGRES_DB=langfuse
- POSTGRES_USER=langfuse
- POSTGRES_PASSWORD=langfuse
volumes:
- langfuse_db_data:/var/lib/postgresql/data
networks:
- fhirflame-local
healthcheck:
test: ["CMD-SHELL", "pg_isready -U langfuse -d langfuse"]
interval: 10s
timeout: 5s
retries: 5
start_period: 10s
# ClickHouse for Langfuse v3
clickhouse:
image: clickhouse/clickhouse-server:latest
container_name: clickhouse-local
environment:
- CLICKHOUSE_DB=langfuse
- CLICKHOUSE_USER=langfuse
- CLICKHOUSE_PASSWORD=langfuse
- CLICKHOUSE_DEFAULT_ACCESS_MANAGEMENT=1
volumes:
- clickhouse_data:/var/lib/clickhouse
networks:
- fhirflame-local
healthcheck:
test: ["CMD", "clickhouse-client", "--query", "SELECT 1"]
interval: 10s
timeout: 5s
retries: 5
start_period: 30s
# Langfuse for comprehensive monitoring
langfuse:
image: langfuse/langfuse:2
container_name: langfuse-local
depends_on:
langfuse-db:
condition: service_healthy
ports:
- "${LANGFUSE_PORT:-3000}:3000"
environment:
- DATABASE_URL=postgresql://langfuse:langfuse@langfuse-db:5432/langfuse
- LANGFUSE_ENABLE_EXPERIMENTAL_FEATURES=false
- NEXTAUTH_SECRET=mysecret
- SALT=mysalt
- NEXTAUTH_URL=http://localhost:3000
- TELEMETRY_ENABLED=${TELEMETRY_ENABLED:-true}
- NEXT_PUBLIC_SIGN_UP_DISABLED=${NEXT_PUBLIC_SIGN_UP_DISABLED:-false}
- LANGFUSE_ENABLE_EXPERIMENTAL_FEATURES=${LANGFUSE_ENABLE_EXPERIMENTAL_FEATURES:-false}
networks:
- fhirflame-local
healthcheck:
test: ["CMD", "curl", "-f", "http://localhost:3000/api/public/health"]
interval: 30s
timeout: 10s
retries: 3
start_period: 60s
# Test runner service
test-runner:
build:
context: .
dockerfile: Dockerfile
image: fhirflame-local:latest
container_name: fhirflame-tests
environment:
- PYTHONPATH=/app
- FHIRFLAME_DEV_MODE=${FHIRFLAME_DEV_MODE:-true}
volumes:
- ./src:/app/src
- ./tests:/app/tests
- ./test_results:/app/test_results
- ./.env:/app/.env
networks:
- fhirflame-local
depends_on:
- fhirflame-a2a-api
- ollama
command: python tests/test_file_organization.py
profiles:
- test
networks:
fhirflame-local:
driver: bridge
volumes:
ollama_local_data:
langfuse_db_data:
clickhouse_data: |