Implement comprehensive Runpod deployment with S3 volume mount architecture for FP32 ML model training on Tesla V100 GPUs. ## Infrastructure Components ### Deployment Scripts (scripts/) - runpod_deploy.sh: Master deployment orchestrator (8-step workflow) - runpod_upload.sh: S3 upload for binaries and test data - upload_env_to_runpod.sh: Secure .env credentials upload - runpod_deploy_test.sh: Prerequisites validation ### Docker Configuration - Dockerfile.runpod: Multi-stage CUDA 12.1 runtime (~2GB, no binaries) - entrypoint.sh: Volume verification and training execution - Architecture: Volume mount (NO S3 downloads in pods) ### S3 Configuration - Bucket: se3zdnb5o4 (Iceland region: eur-is-1) - Endpoint: https://s3api-eur-is-1.runpod.io - Structure: binaries/, test_data/, models/, .env ### OpenTofu Infrastructure (terraform/runpod/) - main.tf: Pod and volume resources - variables.tf: Configuration variables - outputs.tf: Pod connection info - Security: NO credentials in state (uses volume .env) ## Deployment Assets Uploaded ### Training Binaries (77MB) - train_tft_parquet (23M) - TFT-225 features - train_mamba2_parquet (22M) - MAMBA-2 state space - train_dqn (22M) - Deep Q-Network - train_ppo (13M) - Proximal Policy Optimization ### Test Data (13.8 MB) - 9 Parquet files: ES.FUT, NQ.FUT, 6E.FUT, ZN.FUT (180-day datasets) ### Credentials - .env file (1.5 KB, private access, chmod 600) ## Documentation ### Deployment Guides - RUNPOD_DEPLOYMENT_READY_SUMMARY.md: Complete deployment status - RUNPOD_VOLUME_DEPLOYMENT_GUIDE.md: Step-by-step guide (42KB) - RUNPOD_DEPLOYMENT_QUICK_START.md: Quick reference - RUNPOD_UPLOAD_GUIDE.md: S3 upload instructions - RUNPOD_VOLUME_CONFIGURATION_COMPLETE.md: S3 setup report - RUNPOD_S3_PARQUET_UPLOAD_REPORT.md: Data upload verification ### Architecture Documentation - RUNPOD_VOLUME_MOUNT_ARCHITECTURE.md: Volume mount design - RUNPOD_S3_ARCHITECTURE_DIAGRAM.txt: S3 API vs filesystem access - DOCKERFILE_RUNPOD_FINAL_SUMMARY.md: Docker image specification ### Decision Documentation - RUNPOD_DEPLOYMENT_CHECKLIST.md: Go/no-go decision matrix (27KB) - RUNPOD_DEPLOYMENT_DECISION_TREE.md: Decision workflow - FP32_RUNPOD_DEPLOYMENT_READY.md: FP32 deployment readiness ## QAT Enhancements ### Core QAT Infrastructure - ml/src/memory_optimization/qat.rs: Enhanced QAT observer (+226 lines) - ml/src/memory_optimization/auto_batch_size.rs: OOM recovery (+84 lines) - ml/src/tft/qat_tft.rs: QAT TFT wrapper (+154 lines) - ml/src/trainers/tft.rs: QAT training integration (+433 lines) - ml/src/qat_metrics_exporter.rs: NEW - QAT metrics export ### QAT Testing - ml/tests/qat_integration_tests.rs: NEW - Integration test suite - ml/tests/qat_gradient_clipping_test.rs: NEW - Gradient clipping tests - ml/tests/qat_device_consistency_test.rs: Device mismatch tests (+205 lines) - ml/tests/qat_accuracy_validation_test.rs: Accuracy validation - ml/tests/qat_tft_integration_test.rs: TFT QAT integration ### QAT Documentation - ml/docs/QAT_GUIDE.md: Comprehensive QAT guide (+616 lines) - ml/docs/QAT_GRADIENT_CHECKPOINTING_WORKAROUND.md: NEW - Workaround guide - QAT_BLOCKERS_ROOT_CAUSE_ANALYSIS.md: P0 blocker analysis (44KB) - QAT_ACCURACY_VALIDATION_REPORT.md: Accuracy comparison - QAT_GRADIENT_CLIPPING_VALIDATION_REPORT.md: Clipping validation ### QAT Monitoring - config/grafana/dashboards/qat-training-metrics.json: NEW - Grafana dashboard ## AWS CLI Configuration ### Credentials Setup - ~/.aws/credentials: Runpod profile configured - Access Key: user_2xxA3XcIFj16yfL3aBon9niiSpr - Secret Key: (from RUNPOD_S3_SECRET) - ~/.aws/config: Iceland region (eur-is-1) ## Production Readiness ### FP32 Models: ✅ READY FOR DEPLOYMENT - DQN: 15-20s training, ~6MB GPU memory - PPO: 7-10s training, ~145MB GPU memory - MAMBA-2: 2-3 min training, ~164MB GPU memory - TFT-225: 3-5 min training, ~500MB GPU memory - Total GPU Budget: 815MB (fits on 4GB+ Tesla V100) ### QAT Models: 🔴 BLOCKED - 24 tests implemented but DO NOT COMPILE (11 errors) - 3 P0 blockers: device mismatch, gradient checkpointing, OOM recovery - Timeline: 1-2 weeks to fix (13h P0 fixes + validation) ### Wave D Features: ✅ OPERATIONAL - 225 features fully integrated - Feature extraction: 5.10μs/bar (196x faster than target) - Wave D backtest: Sharpe 2.00, Win Rate 60%, Drawdown 15% - Database migration 045: Applied cleanly, zero conflicts ## Cost Analysis ### One-Time Setup - Network Volume: $4/month (50GB SSD) - Upload costs: FREE (S3 API included) ### Per Training Run (TFT-225) - GPU: Tesla V100-PCIE-16GB @ $0.29/hr - Training Time: ~4 hours - Cost per run: $1.16 ### Monthly (20 Training Runs) - Storage: $4.00/month - Training: $23.20/month (20 runs × $1.16) - Total: $27.20/month ## Security ### Credentials Management - ✅ NO credentials in Docker image - ✅ NO credentials in Terraform state - ✅ .env gitignored and not committed - ✅ .env file private on S3 (HTTP 401 on public access) - ✅ Docker Hub repository PRIVATE (jgrusewski/foxhunt) ### Access Control - S3 API: Local client uploads only - Volume mount: Pod filesystem access only - Authentication: AWS CLI with Runpod profile required ## Next Steps 1. ✅ COMPLETE: Build Docker image 2. ⏳ PENDING: Push to Docker Hub 3. ⏳ PENDING: Deploy pod via Runpod console 4. ⏳ PENDING: Validate training on Tesla V100 ## Performance Targets - Build time: 5-10 min - Upload time: ~20 sec (90MB total) - Pod startup: ~30 sec - Training time: 3-5 min (TFT-225) - Total deployment: ~40 min from start to first training run ## Test Status - FP32 tests: 597/608 passing (98.2%) - QAT tests: 0/24 passing (compilation errors) - Overall: 2,062/2,086 passing (98.8% excluding QAT) 🤖 Generated with Claude Code (https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com>
488 lines
16 KiB
YAML
488 lines
16 KiB
YAML
version: '3.8'
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services:
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# PostgreSQL - Primary database for SQLx compilation and app data
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postgres:
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image: timescale/timescaledb:latest-pg16
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container_name: foxhunt-postgres
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environment:
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POSTGRES_DB: foxhunt
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POSTGRES_USER: foxhunt
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POSTGRES_PASSWORD: foxhunt_dev_password
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ports:
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- "5432:5432"
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volumes:
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- postgres_data:/var/lib/postgresql/data
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healthcheck:
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test: ["CMD-SHELL", "pg_isready -U foxhunt"]
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interval: 10s
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timeout: 5s
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retries: 5
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networks:
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- foxhunt-network
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# Redis - Caching and real-time data
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redis:
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image: redis:7-alpine
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container_name: foxhunt-redis
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command: >
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redis-server
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--maxmemory 2gb
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--maxmemory-policy allkeys-lru
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ports:
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- "6379:6379"
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volumes:
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- redis_data:/data
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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: 5
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networks:
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- foxhunt-network
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# InfluxDB - Time-series data for HFT metrics
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influxdb:
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image: influxdb:2.7-alpine
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container_name: foxhunt-influxdb
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environment:
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DOCKER_INFLUXDB_INIT_MODE: setup
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DOCKER_INFLUXDB_INIT_USERNAME: foxhunt
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DOCKER_INFLUXDB_INIT_PASSWORD: foxhunt_dev_password
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DOCKER_INFLUXDB_INIT_ORG: foxhunt
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DOCKER_INFLUXDB_INIT_BUCKET: trading_metrics
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DOCKER_INFLUXDB_INIT_RETENTION: 30d
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ports:
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- "8086:8086"
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volumes:
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- influxdb_data:/var/lib/influxdb2
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healthcheck:
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test: ["CMD", "influx", "ping"]
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interval: 30s
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timeout: 10s
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retries: 5
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networks:
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- foxhunt-network
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# HashiCorp Vault - Secrets management
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vault:
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image: hashicorp/vault:1.15
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container_name: foxhunt-vault
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environment:
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VAULT_ADDR: http://0.0.0.0:8200
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VAULT_DEV_ROOT_TOKEN_ID: foxhunt-dev-root
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ports:
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- "8200:8200"
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volumes:
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- vault_data:/vault/data
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cap_add:
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- IPC_LOCK
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command: vault server -dev -dev-listen-address=0.0.0.0:8200
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healthcheck:
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test: ["CMD", "vault", "status"]
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interval: 30s
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timeout: 10s
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retries: 5
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networks:
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- foxhunt-network
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# Prometheus - HFT Metrics Collection
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prometheus:
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image: prom/prometheus:latest
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container_name: foxhunt-prometheus
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ports:
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- "9090:9090"
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volumes:
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- prometheus_data:/prometheus
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- ./config/prometheus/prometheus.yml:/etc/prometheus/prometheus.yml:ro
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- ./config/prometheus/rules:/etc/prometheus/rules:ro
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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=15d'
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- '--web.enable-lifecycle'
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- '--query.max-concurrency=50'
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healthcheck:
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test: ["CMD", "wget", "--no-verbose", "--tries=1", "--spider", "http://localhost:9090/-/healthy"]
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interval: 30s
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timeout: 10s
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retries: 5
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networks:
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- foxhunt-network
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# Grafana - HFT Trading Dashboards
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grafana:
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image: grafana/grafana:latest
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container_name: foxhunt-grafana
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ports:
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- "3000:3000"
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volumes:
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- grafana_data:/var/lib/grafana
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- ./config/grafana/dashboards:/var/lib/grafana/dashboards:ro
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- ./config/grafana/provisioning:/etc/grafana/provisioning:ro
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environment:
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- GF_SECURITY_ADMIN_PASSWORD=foxhunt123
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- GF_USERS_ALLOW_SIGN_UP=false
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- GF_DASHBOARDS_DEFAULT_HOME_DASHBOARD_PATH=/var/lib/grafana/dashboards/hft-trading-performance.json
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depends_on:
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prometheus:
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condition: service_healthy
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healthcheck:
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test: ["CMD-SHELL", "wget --no-verbose --tries=1 --spider http://localhost:3000/api/health || exit 1"]
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interval: 30s
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timeout: 10s
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retries: 5
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networks:
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- foxhunt-network
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# MinIO - S3-compatible object storage for model checkpoints and training data
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minio:
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image: minio/minio:latest
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container_name: foxhunt-minio
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ports:
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- "9000:9000" # API endpoint
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- "9001:9001" # Console UI
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environment:
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MINIO_ROOT_USER: foxhunt
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MINIO_ROOT_PASSWORD: foxhunt_dev_password
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MINIO_REGION_NAME: us-east-1
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command: server /data --console-address ":9001"
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volumes:
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- minio_data:/data
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healthcheck:
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test: ["CMD", "mc", "ready", "local"]
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interval: 10s
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timeout: 5s
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retries: 5
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networks:
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- foxhunt-network
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# =========================================================================
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# Application Services (gRPC microservices)
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# =========================================================================
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# Trading Service - Core trading logic (port 50052)
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trading_service:
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build:
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context: .
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dockerfile: services/trading_service/Dockerfile
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container_name: foxhunt-trading-service
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env_file:
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- .env # Load JWT_SECRET and other config from .env (Wave 147)
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ports:
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- "50052:50051" # Map external 50052 to internal 50051
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- "9092:9092" # Metrics
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environment:
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- DATABASE_URL=postgresql://foxhunt:foxhunt_dev_password@postgres:5432/foxhunt
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- REDIS_URL=redis://redis:6379
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- VAULT_ADDR=http://vault:8200
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- VAULT_TOKEN=foxhunt-dev-root
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- JWT_SECRET=${JWT_SECRET:-dev_secret_key_change_in_production}
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- JWT_ISSUER=foxhunt-api-gateway
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- JWT_AUDIENCE=foxhunt-services
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# TLS Configuration - Wave H1 mTLS implementation
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- TLS_ENABLED=${TLS_ENABLED:-false}
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- TLS_PROTOCOL_VERSION=${TLS_PROTOCOL_VERSION:-TLS13}
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- TLS_REQUIRE_CLIENT_CERT=${TLS_REQUIRE_CLIENT_CERT:-true}
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- TLS_CERT_PATH=/tmp/foxhunt/certs/server-cert.pem
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- TLS_KEY_PATH=/tmp/foxhunt/certs/server-key.pem
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- TLS_CA_PATH=/tmp/foxhunt/certs/ca/ca-cert.pem
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# mTLS Validation Options
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- MTLS_ENABLE_REVOCATION_CHECK=${MTLS_ENABLE_REVOCATION_CHECK:-false}
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- MTLS_CRL_URL=${MTLS_CRL_URL:-}
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- KILL_SWITCH_SOCKET_PATH=/tmp/kill_switch.sock
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- GRPC_PORT=50051
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- RUST_LOG=info
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- RUST_BACKTRACE=1
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volumes:
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- ./certs:/tmp/foxhunt/certs:ro
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depends_on:
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postgres:
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condition: service_healthy
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redis:
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condition: service_healthy
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vault:
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condition: service_healthy
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healthcheck:
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test: ["CMD", "/usr/local/bin/grpc_health_probe", "-addr=localhost:50051"]
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interval: 10s
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timeout: 5s
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start_period: 30s
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retries: 3
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networks:
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- foxhunt-network
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restart: unless-stopped
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# Backtesting Service - Strategy testing (port 50053)
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backtesting_service:
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build:
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context: .
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dockerfile: services/backtesting_service/Dockerfile
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container_name: foxhunt-backtesting-service
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env_file:
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- .env # Load JWT_SECRET and other config from .env (Wave 147)
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ports:
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- "50053:50053" # Map external 50053 to internal 50053
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- "9093:9093" # Metrics
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- "8083:8082" # Health check endpoint
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environment:
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- DATABASE_URL=postgresql://foxhunt:foxhunt_dev_password@postgres:5432/foxhunt
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- REDIS_URL=redis://redis:6379
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- VAULT_ADDR=http://vault:8200
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- VAULT_TOKEN=foxhunt-dev-root
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- JWT_SECRET=${JWT_SECRET:-dev_secret_key_change_in_production}
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- JWT_ISSUER=foxhunt-api-gateway
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- JWT_AUDIENCE=foxhunt-services
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- BENZINGA_API_KEY=${BENZINGA_API_KEY:-demo_key_please_replace}
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# DBN Data Configuration - Wave 153 Real Data Integration
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- USE_DBN_DATA=${USE_DBN_DATA:-false}
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- DBN_SYMBOL_MAPPINGS=${DBN_SYMBOL_MAPPINGS:-ES.FUT:/workspace/test_data/real/databento/ES.FUT_ohlcv-1m_2024-01-02.dbn}
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- DBN_SYMBOL_MAP=${DBN_SYMBOL_MAP:-BTC/USD:ES.FUT,ETH/USD:ES.FUT}
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# TLS Configuration - Wave H1 mTLS implementation (updated)
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- TLS_ENABLED=${TLS_ENABLED:-false}
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- TLS_PROTOCOL_VERSION=${TLS_PROTOCOL_VERSION:-TLS13}
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- TLS_REQUIRE_CLIENT_CERT=${TLS_REQUIRE_CLIENT_CERT:-true}
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- TLS_CERT_PATH=/tmp/foxhunt/certs/server-cert.pem
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- TLS_KEY_PATH=/tmp/foxhunt/certs/server-key.pem
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- TLS_CA_PATH=/tmp/foxhunt/certs/ca/ca-cert.pem
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# mTLS Validation Options
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- MTLS_ENABLE_REVOCATION_CHECK=${MTLS_ENABLE_REVOCATION_CHECK:-false}
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- MTLS_CRL_URL=${MTLS_CRL_URL:-}
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- RUST_LOG=info
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- RUST_BACKTRACE=1
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volumes:
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- ./certs:/tmp/foxhunt/certs:ro
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- ./test_data:/workspace/test_data:ro
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depends_on:
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postgres:
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condition: service_healthy
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redis:
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condition: service_healthy
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vault:
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condition: service_healthy
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healthcheck:
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test: ["CMD", "curl", "-f", "http://localhost:8082/health"]
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interval: 10s
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timeout: 5s
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start_period: 30s
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retries: 3
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networks:
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- foxhunt-network
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restart: unless-stopped
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# ML Training Service - Model training with GPU acceleration (port 50054)
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ml_training_service:
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build:
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context: .
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dockerfile: services/ml_training_service/Dockerfile
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container_name: foxhunt-ml-training-service
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runtime: nvidia
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env_file:
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- .env # Load JWT_SECRET and other config from .env (Wave 147)
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ports:
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- "50054:50053" # Map external 50054 to internal 50053
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- "9094:9094" # Metrics
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- "8095:8080" # Health endpoint (unique host port)
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environment:
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- DATABASE_URL=postgresql://foxhunt:foxhunt_dev_password@postgres:5432/foxhunt
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- REDIS_URL=redis://redis:6379
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- VAULT_ADDR=http://vault:8200
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- VAULT_TOKEN=foxhunt-dev-root
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- JWT_SECRET=${JWT_SECRET:-dev_secret_key_change_in_production}
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- JWT_ISSUER=foxhunt-api-gateway
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- JWT_AUDIENCE=foxhunt-services
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# GPU Configuration
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- NVIDIA_VISIBLE_DEVICES=all
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- NVIDIA_DRIVER_CAPABILITIES=compute,utility
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- CUDA_VISIBLE_DEVICES=0
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# MinIO Configuration for Model Storage
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- S3_ENDPOINT=http://minio:9000
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- S3_ACCESS_KEY=foxhunt
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- S3_SECRET_KEY=foxhunt_dev_password
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- S3_BUCKET=ml-models
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- S3_REGION=us-east-1
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# Hyperparameter Tuning Configuration
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- OPTUNA_STORAGE=postgresql://foxhunt:foxhunt_dev_password@postgres:5432/foxhunt
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- OPTUNA_STUDY_NAME=${OPTUNA_STUDY_NAME:-foxhunt-hpt}
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- OPTUNA_N_TRIALS=${OPTUNA_N_TRIALS:-100}
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# TLS Configuration - Wave H1 mTLS implementation (updated)
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- TLS_ENABLED=${TLS_ENABLED:-false}
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- TLS_PROTOCOL_VERSION=${TLS_PROTOCOL_VERSION:-TLS13}
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- TLS_REQUIRE_CLIENT_CERT=${TLS_REQUIRE_CLIENT_CERT:-true}
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- TLS_CERT_PATH=/tmp/foxhunt/certs/server-cert.pem
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- TLS_KEY_PATH=/tmp/foxhunt/certs/server-key.pem
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- TLS_CA_PATH=/tmp/foxhunt/certs/ca/ca-cert.pem
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# mTLS Validation Options
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- MTLS_ENABLE_REVOCATION_CHECK=${MTLS_ENABLE_REVOCATION_CHECK:-false}
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- MTLS_CRL_URL=${MTLS_CRL_URL:-}
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# Logging
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- RUST_LOG=info
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- RUST_BACKTRACE=1
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volumes:
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- ./certs:/tmp/foxhunt/certs:ro
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- ./models:/tmp/foxhunt/models
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- ./checkpoints:/tmp/foxhunt/checkpoints
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# Training data mounts
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- ./test_data/real/databento/ml_training:/data/training:ro
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- ./tuning_config.yaml:/app/tuning_config.yaml:ro
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- ./optuna_studies:/app/optuna_studies
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deploy:
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resources:
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reservations:
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devices:
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- driver: nvidia
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count: 1
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capabilities: [gpu]
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depends_on:
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postgres:
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condition: service_healthy
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redis:
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condition: service_healthy
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vault:
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condition: service_healthy
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minio:
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condition: service_healthy
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healthcheck:
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test: ["CMD", "curl", "-f", "http://localhost:8080/health"]
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interval: 10s
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timeout: 5s
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start_period: 30s
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retries: 3
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networks:
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- foxhunt-network
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restart: unless-stopped
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# Trading Agent Service - Portfolio management (port 50055)
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trading_agent_service:
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build:
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context: .
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dockerfile: services/trading_agent_service/Dockerfile
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container_name: foxhunt-trading-agent-service
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env_file:
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- .env
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ports:
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- "50055:50055" # gRPC
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- "8084:8083" # Health (external 8084 -> internal 8083)
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- "9095:9095" # Metrics
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environment:
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- DATABASE_URL=postgresql://foxhunt:foxhunt_dev_password@postgres:5432/foxhunt
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- REDIS_URL=redis://redis:6379
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- VAULT_ADDR=http://vault:8200
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- VAULT_TOKEN=foxhunt-dev-root
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- JWT_SECRET=${JWT_SECRET:-dev_secret_key_change_in_production}
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# TLS Configuration - Wave H1 mTLS implementation
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- TLS_ENABLED=${TLS_ENABLED:-false}
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- TLS_PROTOCOL_VERSION=${TLS_PROTOCOL_VERSION:-TLS13}
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- TLS_REQUIRE_CLIENT_CERT=${TLS_REQUIRE_CLIENT_CERT:-true}
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- TLS_CERT_PATH=/tmp/foxhunt/certs/server-cert.pem
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- TLS_KEY_PATH=/tmp/foxhunt/certs/server-key.pem
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- TLS_CA_PATH=/tmp/foxhunt/certs/ca/ca-cert.pem
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# mTLS Validation Options
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- MTLS_ENABLE_REVOCATION_CHECK=${MTLS_ENABLE_REVOCATION_CHECK:-false}
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- MTLS_CRL_URL=${MTLS_CRL_URL:-}
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- RUST_LOG=info
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- RUST_BACKTRACE=1
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volumes:
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- ./certs:/tmp/foxhunt/certs:ro
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depends_on:
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postgres:
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condition: service_healthy
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redis:
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condition: service_healthy
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vault:
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condition: service_healthy
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healthcheck:
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test: ["CMD", "curl", "-f", "http://localhost:8083/health"]
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interval: 10s
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timeout: 5s
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start_period: 30s
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retries: 3
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networks:
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- foxhunt-network
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restart: unless-stopped
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# API Gateway - Auth + routing (port 50051)
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api_gateway:
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build:
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context: .
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dockerfile: services/api_gateway/Dockerfile
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container_name: foxhunt-api-gateway
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env_file:
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- .env # Load JWT_SECRET and other config from .env (Wave 147)
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ports:
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- "50051:50050" # Map external 50051 to internal 50050
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- "9091:9091" # Metrics
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environment:
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- GATEWAY_BIND_ADDR=0.0.0.0:50050
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- DATABASE_URL=postgresql://foxhunt:foxhunt_dev_password@postgres:5432/foxhunt
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- REDIS_URL=redis://redis:6379
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- VAULT_ADDR=http://vault:8200
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- VAULT_TOKEN=foxhunt-dev-root
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- TRADING_SERVICE_URL=http://trading_service:50051
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- BACKTESTING_SERVICE_URL=https://backtesting_service:50053
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- ML_TRAINING_SERVICE_URL=https://ml_training_service:50053
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- JWT_SECRET=${JWT_SECRET:-dev_secret_key_change_in_production}
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- JWT_ISSUER=foxhunt-api-gateway
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- JWT_AUDIENCE=foxhunt-services
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# TLS Certificate Configuration for Backtesting Service (mTLS)
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# Using dev CA-signed certificates (matching Backtesting Service CA)
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- BACKTESTING_TLS_CA_CERT=/tmp/foxhunt/certs/ca/ca-cert.pem
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- BACKTESTING_TLS_CLIENT_CERT=/tmp/foxhunt/certs/client-cert.pem
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- BACKTESTING_TLS_CLIENT_KEY=/tmp/foxhunt/certs/client-key.pem
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# TLS Certificate Configuration for ML Training Service (mTLS)
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# Using dev CA-signed certificates (matching ML Training Service CA)
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- ML_TRAINING_TLS_CA_CERT=/tmp/foxhunt/certs/ca/ca-cert.pem
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- ML_TRAINING_TLS_CLIENT_CERT=/tmp/foxhunt/certs/client-cert.pem
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- ML_TRAINING_TLS_CLIENT_KEY=/tmp/foxhunt/certs/client-key.pem
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# TLS Server Configuration - Wave H1 mTLS implementation
|
|
- TLS_ENABLED=${TLS_ENABLED:-false}
|
|
- TLS_PROTOCOL_VERSION=${TLS_PROTOCOL_VERSION:-TLS13}
|
|
- TLS_REQUIRE_CLIENT_CERT=${TLS_REQUIRE_CLIENT_CERT:-true}
|
|
- TLS_CERT_PATH=/tmp/foxhunt/certs/server-cert.pem
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|
- TLS_KEY_PATH=/tmp/foxhunt/certs/server-key.pem
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|
- TLS_CA_PATH=/tmp/foxhunt/certs/ca/ca-cert.pem
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# mTLS Validation Options
|
|
- MTLS_ENABLE_REVOCATION_CHECK=${MTLS_ENABLE_REVOCATION_CHECK:-false}
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|
- MTLS_CRL_URL=${MTLS_CRL_URL:-}
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|
# Service Configuration
|
|
- RATE_LIMIT_RPS=100
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- ENABLE_AUDIT_LOGGING=true
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|
- RUST_LOG=info
|
|
- RUST_BACKTRACE=1
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|
volumes:
|
|
- ./certs:/tmp/foxhunt/certs:ro
|
|
depends_on:
|
|
postgres:
|
|
condition: service_healthy
|
|
redis:
|
|
condition: service_healthy
|
|
vault:
|
|
condition: service_healthy
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|
trading_service:
|
|
condition: service_healthy
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|
backtesting_service:
|
|
condition: service_healthy
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|
ml_training_service:
|
|
condition: service_healthy
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|
healthcheck:
|
|
test: ["CMD", "/usr/local/bin/grpc_health_probe", "-addr=localhost:50050"]
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|
interval: 10s
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|
timeout: 5s
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|
start_period: 30s
|
|
retries: 3
|
|
networks:
|
|
- foxhunt-network
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|
restart: unless-stopped
|
|
|
|
volumes:
|
|
postgres_data:
|
|
redis_data:
|
|
influxdb_data:
|
|
vault_data:
|
|
prometheus_data:
|
|
grafana_data:
|
|
minio_data:
|
|
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|
networks:
|
|
foxhunt-network:
|
|
driver: bridge |