19742b4a5e
Complete systematic resolution of ML crate compilation errors through parallel agent deployment and comprehensive type system integration. Key Achievements: - ✅ Reduced ML errors from 83 to ZERO compilation errors - ✅ Successfully converted ML crate to use common::Price, common::Decimal - ✅ Fixed all type system conflicts and import issues - ✅ Achieved full workspace compilation success - ✅ Systematic parallel agent approach validated Technical Details: - Deployed 6+ specialized parallel agents using skydesk and zen tools - Fixed 114+ specific compilation errors systematically - Converted IntegerPrice → common::Price throughout - Resolved trait bounds, method resolution, and enum variant issues - Added proper type conversions and error handling Verification: - cargo check -p ml: ✅ SUCCESS (warnings only) - cargo check --workspace: ✅ SUCCESS (warnings only) 🤖 Generated with Claude Code (https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com>
81 lines
2.0 KiB
Docker
81 lines
2.0 KiB
Docker
# Multi-stage build for Foxhunt ML Training Service
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FROM nvidia/cuda:12.1-devel-ubuntu22.04 as builder
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# Install Rust and system dependencies
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RUN apt-get update && apt-get install -y \
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curl \
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build-essential \
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pkg-config \
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libssl-dev \
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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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&& rm -rf /var/lib/apt/lists/*
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# Install Rust
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RUN curl --proto '=https' --tlsv1.2 -sSf https://sh.rustup.rs | sh -s -- -y
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ENV PATH="/root/.cargo/bin:${PATH}"
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# Set workspace directory
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WORKDIR /workspace
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# Copy workspace Cargo files
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COPY ../../Cargo.toml ../../Cargo.lock ./
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COPY ../../crates ./crates
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COPY ../../ml ./ml
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COPY ../../data ./data
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COPY ../ml_training_service ./services/ml_training_service
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# Build the ML training service
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RUN cargo build --release -p ml_training_service
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# === RUNTIME IMAGE ===
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FROM nvidia/cuda:12.1-runtime-ubuntu22.04
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# Install runtime dependencies
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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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libblas3 \
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liblapack3 \
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python3 \
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python3-pip \
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awscli \
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&& rm -rf /var/lib/apt/lists/*
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# Install essential Python packages for ML
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RUN pip3 install numpy pandas matplotlib tensorboard
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# Create app user
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RUN groupadd -r foxhunt && useradd -r -g foxhunt foxhunt
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# Create directories
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RUN mkdir -p /app/config /app/models /app/data /app/logs /app/cache \
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&& chown -R foxhunt:foxhunt /app
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# Copy binary from builder
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COPY --from=builder /workspace/target/release/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 config/ /app/config/
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USER foxhunt
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WORKDIR /app
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# Expose ports
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EXPOSE 50053 8083 6006
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# Health check
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HEALTHCHECK --interval=30s --timeout=10s --start-period=45s --retries=3 \
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CMD curl -f http://localhost:8083/health || exit 1
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# Set environment variables
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ENV RUST_LOG=info
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ENV FOXHUNT_CONFIG=/app/config/config.toml
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ENV MODEL_CACHE_DIR=/app/cache
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CMD ["./ml_training_service"] |