Files
foxhunt/services/ml_training_service/Dockerfile.dev
jgrusewski 1b6b64a75e fix: Complete Agent 96 deployment blockers resolution
Issue #1: Fixed Dockerfile path errors in ALL variants
- Main Dockerfiles already fixed by Agent 94
- Fixed 6 additional Dockerfile.dev and Dockerfile.production variants
- Root cause: docker-compose.override.yml uses .dev variants
- Changed: COPY crates/config -> COPY config (9 total files)

Issue #2: Added BENZINGA_API_KEY environment variable
- docker-compose.yml: Added fallback to demo_key_please_replace
- Backtesting Service can now start without blocking on missing API key

Issue #3: Added default CMD to ML Training Service
- services/ml_training_service/Dockerfile: Added CMD ["serve"]
- Container now starts service instead of showing help menu

All 3 Agent 96 blockers resolved. Ready for full deployment test.

Wave 125 Phase 3B - Deployment Blockers Complete
2025-10-07 21:14:11 +02:00

124 lines
3.4 KiB
Docker

# =============================================================================
# FOXHUNT ML TRAINING SERVICE - DEVELOPMENT CONTAINER
# =============================================================================
# This Dockerfile creates a development container with ML development tools
# and model experimentation capabilities
# =============================================================================
# BUILDER STAGE - Development Build
# =============================================================================
FROM rust:1.75-slim as ml-dev-builder
# Install build dependencies
RUN apt-get update && apt-get install -y \
build-essential \
pkg-config \
libssl-dev \
ca-certificates \
libpq-dev \
protobuf-compiler \
libblas-dev \
liblapack-dev \
git \
&& rm -rf /var/lib/apt/lists/*
# Development Cargo configuration
ENV CARGO_NET_GIT_FETCH_WITH_CLI=true
ENV CARGO_INCREMENTAL=1
ENV CARGO_PROFILE_DEV_DEBUG=true
WORKDIR /workspace
# Copy workspace files
COPY Cargo.toml Cargo.lock ./
COPY trading_engine ./trading_engine
COPY risk ./risk
COPY ml ./ml
COPY data ./data
COPY common ./common
COPY storage ./storage
COPY config ./config
COPY crates/model_loader ./crates/model_loader
COPY services/ml_training_service ./services/ml_training_service
# Build in development mode
RUN cargo build \
--package ml_training_service \
--features minimal
# =============================================================================
# DEVELOPMENT RUNTIME - Ubuntu with ML Tools
# =============================================================================
FROM ubuntu:22.04-slim
# Install runtime dependencies and ML development tools
RUN apt-get update && apt-get install -y \
ca-certificates \
libssl3 \
libpq5 \
curl \
wget \
netcat-openbsd \
# Mathematical libraries
libblas3 \
liblapack3 \
# Python ML ecosystem
python3 \
python3-pip \
python3-dev \
# Development tools
git \
vim \
htop \
# AWS CLI for S3 operations
awscli \
&& rm -rf /var/lib/apt/lists/*
# Install Python ML packages for experimentation
RUN pip3 install \
numpy \
pandas \
matplotlib \
seaborn \
jupyter \
plotly \
scikit-learn \
tensorboard \
mlflow \
wandb \
&& rm -rf /root/.cache/pip
# Create app user and directories
RUN groupadd -r foxhunt && useradd -r -g foxhunt -s /bin/bash foxhunt
RUN mkdir -p /app/config /app/models /app/data /app/checkpoints /app/cache /app/logs \
/app/experiments /app/notebooks \
&& chown -R foxhunt:foxhunt /app
# Copy debug binary from builder
COPY --from=ml-dev-builder /workspace/target/debug/ml_training_service /app/ml_training_service
RUN chmod +x /app/ml_training_service
# Copy configuration templates
COPY services/ml_training_service/config/ /app/config/ || true
USER foxhunt
WORKDIR /app
# Expose ports for service, health check, TensorBoard, and Jupyter
EXPOSE 50053 8083 6006 8888
# Development environment variables
ENV RUST_LOG=debug
ENV RUST_BACKTRACE=full
ENV FOXHUNT_CONFIG=/app/config/development.toml
ENV FOXHUNT_ENV=development
ENV MODEL_CACHE_DIR=/app/cache
ENV JUPYTER_ENABLE_LAB=yes
ENV WANDB_MODE=disabled
# Health check for development
HEALTHCHECK --interval=30s --timeout=15s --start-period=60s --retries=3 \
CMD curl -f http://localhost:8083/health || exit 1
# Development startup
CMD ["./ml_training_service"]