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