greenlet 3.4.0 lacks manylinux_2_41_aarch64 wheels. Use a UV_CONSTRAINT file instead of the workspace lock file (which doesn't work in the single-package Docker context).
416 lines
16 KiB
Docker
416 lines
16 KiB
Docker
# Hindsight Docker Image
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# Supports building API-only, Control Plane-only, or both
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#
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# Build args:
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# INCLUDE_API=true/false - Include API (default: true)
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# INCLUDE_CP=true/false - Include Control Plane (default: true)
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# INCLUDE_LOCAL_MODELS=true/false - Include local ML models for embeddings/reranking (default: true)
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# Set to false when using external providers (TEI, OpenAI, Cohere)
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# PRELOAD_ML_MODELS=true/false - Pre-download ML models during build (default: true)
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# Only effective when INCLUDE_LOCAL_MODELS=true
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# NOTE: tiktoken encodings are ALWAYS preloaded (required for air-gapped deployments)
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#
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# Examples:
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# docker build -t hindsight . # Both (standalone)
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# docker build -t hindsight-api --build-arg INCLUDE_CP=false . # API only
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# docker build -t hindsight-cp --build-arg INCLUDE_API=false . # Control Plane only
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# docker build -t hindsight --build-arg PRELOAD_ML_MODELS=false . # Skip ML model preload
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# docker build -t hindsight --build-arg INCLUDE_LOCAL_MODELS=false . # Skip local ML deps (for external providers)
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ARG INCLUDE_API=true
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ARG INCLUDE_CP=true
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ARG PRELOAD_ML_MODELS=true
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ARG INCLUDE_LOCAL_MODELS=true
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# =============================================================================
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# Stage: API Builder
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# =============================================================================
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FROM python:3.11-slim AS api-builder
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ARG INCLUDE_API
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ARG INCLUDE_LOCAL_MODELS
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RUN if [ "$INCLUDE_API" != "true" ]; then echo "Skipping API build" && exit 0; fi
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WORKDIR /app
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# Install system dependencies and uv
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RUN apt-get update && apt-get install -y \
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gcc \
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g++ \
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curl \
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&& rm -rf /var/lib/apt/lists/* \
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&& pip install --no-cache-dir uv
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# Copy dependency files and README (required by pyproject.toml)
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COPY hindsight-api-slim/pyproject.toml ./api/
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COPY hindsight-api-slim/README.md ./api/
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COPY docker/standalone/constraints.txt /tmp/constraints.txt
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WORKDIR /app/api
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# Sync dependencies using appropriate extras based on INCLUDE_LOCAL_MODELS
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# local-ml: torch, sentence-transformers, transformers, einops, flashrank, mlx (optional)
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# embedded-db: pg0-embedded (always included for embedded PostgreSQL support)
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ENV UV_CONSTRAINT=/tmp/constraints.txt
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RUN if [ "$INCLUDE_LOCAL_MODELS" = "true" ]; then \
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uv sync --extra local-ml --extra embedded-db; \
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else \
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uv sync --extra embedded-db; \
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fi
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ENV UV_CONSTRAINT=
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# Copy source code (alembic migrations are inside hindsight_api/)
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COPY hindsight-api-slim/hindsight_api ./hindsight_api
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# Install the local package (uv sync only installed dependencies, not the package itself)
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RUN uv pip install -e .
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# =============================================================================
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# Stage: SDK Builder (needed for Control Plane)
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# =============================================================================
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FROM node:20-slim AS sdk-builder
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ARG INCLUDE_CP
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RUN if [ "$INCLUDE_CP" != "true" ]; then echo "Skipping SDK build" && exit 0; fi
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WORKDIR /app
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# Copy root package files for npm workspaces
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COPY package.json package-lock.json ./
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COPY hindsight-clients/typescript/ ./hindsight-clients/typescript/
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# Install and build SDK using workspace (--ignore-scripts skips git hooks setup)
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RUN npm ci --ignore-scripts -w @vectorize-io/hindsight-client
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RUN npm run build -w @vectorize-io/hindsight-client
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# =============================================================================
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# Stage: Control Plane Builder
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# =============================================================================
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FROM node:20-slim AS cp-builder
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ARG INCLUDE_CP
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RUN if [ "$INCLUDE_CP" != "true" ]; then echo "Skipping CP build" && exit 0; fi
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# Create directory structure matching the monorepo layout
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# This is required because build:standalone script expects .next/standalone/memory-poc/hindsight-control-plane
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WORKDIR /app/memory-poc/hindsight-control-plane
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# Install Control Plane dependencies
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# Only copy package.json (not package-lock.json) to ensure npm installs
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# correct platform-specific native bindings for lightningcss/tailwindcss
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COPY hindsight-control-plane/package.json ./
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# Remove the file: dependency on SDK (we'll copy it directly later)
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RUN sed -i '/"@vectorize-io\/hindsight-client":/d' package.json
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RUN npm install
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# Copy Control Plane source (excluding node_modules via .dockerignore)
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COPY hindsight-control-plane/ ./
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# Remove package-lock.json to avoid conflicts with installed native bindings
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# Also remove the file: dependency from package.json (restored by COPY above)
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RUN rm -f package-lock.json && sed -i '/"@vectorize-io\/hindsight-client":/d' package.json
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# Copy built SDK directly into node_modules (more reliable than npm link in Docker)
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COPY --from=sdk-builder /app/hindsight-clients/typescript ./node_modules/@vectorize-io/hindsight-client
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# Accept base path as build argument for reverse proxy deployments
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# Usage: docker build --build-arg NEXT_PUBLIC_BASE_PATH=/hindsight ...
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ARG NEXT_PUBLIC_BASE_PATH=""
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# Build Control Plane - run next build first, then custom standalone copy
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# (The build:standalone script expects a specific path structure that differs in Docker)
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RUN npm exec -- next build
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# Create standalone directory structure manually
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# Note: Must exclude node_modules from find to avoid wrong server.js from next/dist/experimental/testmode/
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# Note: Must explicitly copy .next since glob * doesn't match hidden directories
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RUN STANDALONE_ROOT=$(find .next/standalone -path '*/node_modules' -prune -o -name 'server.js' -print | head -1 | xargs dirname) && \
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mkdir -p standalone && \
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cp -r "$STANDALONE_ROOT"/* standalone/ && \
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cp -r "$STANDALONE_ROOT"/.next standalone/.next && \
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# Copy node_modules if separate from app dir (monorepo structure)
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if [ -d ".next/standalone/node_modules" ] && [ "$STANDALONE_ROOT" != ".next/standalone" ]; then \
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cp -r .next/standalone/node_modules standalone/node_modules; \
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fi && \
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cp -r .next/static standalone/.next/static && \
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mkdir -p standalone/public && \
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cp -r public/* standalone/public/ 2>/dev/null || true && \
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# Verify required files exist
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test -f standalone/server.js || (echo "ERROR: server.js missing!" && exit 1) && \
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test -f standalone/.next/BUILD_ID || (echo "ERROR: BUILD_ID missing!" && exit 1)
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# =============================================================================
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# Stage: Final Image - API Only
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# =============================================================================
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FROM python:3.11-slim AS api-only
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WORKDIR /app
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# Note: libicu version varies by Debian version - try common versions in order
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RUN apt-get update && apt-get install -y \
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curl \
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procps \
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libxml2 \
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libssl3 \
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libgssapi-krb5-2 \
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libossp-uuid16 \
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&& (apt-get install -y libicu72 2>/dev/null || apt-get install -y libicu74 2>/dev/null || apt-get install -y libicu76 2>/dev/null || true) \
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&& rm -rf /var/lib/apt/lists/* \
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&& pip install --no-cache-dir uv
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RUN useradd -m -s /bin/bash hindsight
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# Copy API with virtual environment from builder
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COPY --from=api-builder /app/api /app/api
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# Copy startup script
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COPY docker/standalone/start-all.sh /app/start-all.sh
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RUN chmod +x /app/start-all.sh
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RUN chown -R hindsight:hindsight /app
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USER hindsight
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# Create pg0 data directory as hindsight user so that Docker seeds new named
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# volumes with correct ownership (UID 1000) on first use, avoiding the
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# "Permission denied" error when mounting a fresh root-owned volume.
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RUN mkdir -p /home/hindsight/.pg0
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ENV PATH="/app/api/.venv/bin:${PATH}"
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# Pre-download tiktoken encoding (ALWAYS - required for token counting even in air-gapped envs)
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# Tiktoken is a core runtime dependency, not an optional ML model
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RUN MAX_RETRIES=3; \
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RETRY_DELAY=5; \
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for i in $(seq 1 $MAX_RETRIES); do \
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echo "Attempt $i/$MAX_RETRIES: Downloading tiktoken encoding..."; \
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/app/api/.venv/bin/python -c "\
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import tiktoken; \
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print('Downloading cl100k_base encoding...'); \
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tiktoken.get_encoding('cl100k_base'); \
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print('Tiktoken encoding cached successfully')" && break; \
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if [ $i -lt $MAX_RETRIES ]; then \
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echo "Attempt $i failed, retrying in ${RETRY_DELAY}s..."; \
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sleep $RETRY_DELAY; \
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RETRY_DELAY=$((RETRY_DELAY * 2)); \
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fi; \
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done; \
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if [ $i -eq $MAX_RETRIES ]; then \
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echo "ERROR: Failed to download tiktoken encoding after $MAX_RETRIES attempts"; \
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exit 1; \
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fi
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# Pre-download ML models to avoid runtime download (conditional)
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# Only runs if both PRELOAD_ML_MODELS=true AND INCLUDE_LOCAL_MODELS=true
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# Includes retry logic with exponential backoff for transient network failures
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ARG PRELOAD_ML_MODELS
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ARG INCLUDE_LOCAL_MODELS
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ENV HF_HUB_DOWNLOAD_TIMEOUT=600
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RUN if [ "$PRELOAD_ML_MODELS" = "true" ] && [ "$INCLUDE_LOCAL_MODELS" = "true" ]; then \
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MAX_RETRIES=3; \
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RETRY_DELAY=10; \
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for i in $(seq 1 $MAX_RETRIES); do \
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echo "Attempt $i/$MAX_RETRIES: Downloading ML models..."; \
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/app/api/.venv/bin/python -c "\
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import os; os.environ['HF_HUB_DOWNLOAD_TIMEOUT'] = '600'; \
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from sentence_transformers import SentenceTransformer, CrossEncoder; \
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print('Downloading embedding model...'); \
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SentenceTransformer('BAAI/bge-small-en-v1.5'); \
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print('Downloading cross-encoder model...'); \
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CrossEncoder('cross-encoder/ms-marco-MiniLM-L-6-v2'); \
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print('Models cached successfully')" && break; \
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if [ $i -lt $MAX_RETRIES ]; then \
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echo "Attempt $i failed, retrying in ${RETRY_DELAY}s..."; \
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sleep $RETRY_DELAY; \
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RETRY_DELAY=$((RETRY_DELAY * 2)); \
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fi; \
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done; \
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if [ $i -eq $MAX_RETRIES ] && ! /app/api/.venv/bin/python -c "from sentence_transformers import SentenceTransformer; SentenceTransformer('BAAI/bge-small-en-v1.5')" 2>/dev/null; then \
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echo "ERROR: Failed to download models after $MAX_RETRIES attempts"; \
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exit 1; \
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fi; \
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elif [ "$INCLUDE_LOCAL_MODELS" != "true" ]; then echo "Skipping ML model preload (local-models not included)"; \
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else echo "Skipping ML model preload"; fi
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EXPOSE 8888
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ENV HINDSIGHT_API_HOST=0.0.0.0
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ENV HINDSIGHT_API_PORT=8888
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ENV HINDSIGHT_API_LOG_LEVEL=info
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ENV HINDSIGHT_ENABLE_API=true
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ENV HINDSIGHT_ENABLE_CP=false
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ENV PYTHONUNBUFFERED=1
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# Suppress verbose transformers/HuggingFace model loading warnings
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ENV TRANSFORMERS_VERBOSITY=error
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ENV HF_HUB_VERBOSITY=error
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ENV TOKENIZERS_PARALLELISM=false
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CMD ["/app/start-all.sh"]
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# =============================================================================
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# Stage: Final Image - Control Plane Only
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# =============================================================================
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FROM node:20-alpine AS cp-only
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WORKDIR /app
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# Copy built SDK
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COPY --from=sdk-builder /app/hindsight-clients/typescript /app/sdk
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# Copy Control Plane standalone build
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WORKDIR /app/control-plane
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COPY --from=cp-builder /app/memory-poc/hindsight-control-plane/standalone ./
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COPY --from=cp-builder /app/memory-poc/hindsight-control-plane/.next/static ./.next/static
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COPY --from=cp-builder /app/memory-poc/hindsight-control-plane/public ./public
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WORKDIR /app
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# Copy startup script
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COPY docker/standalone/start-all.sh /app/start-all.sh
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RUN chmod +x /app/start-all.sh
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# Install curl for health checks
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RUN apk add --no-cache curl bash
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EXPOSE 9999
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ENV NODE_ENV=production
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ENV HINDSIGHT_CP_DATAPLANE_API_URL=http://localhost:8888
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ENV HINDSIGHT_ENABLE_API=false
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ENV HINDSIGHT_ENABLE_CP=true
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CMD ["/app/start-all.sh"]
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# =============================================================================
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# Stage: Final Image - Standalone (both API and Control Plane)
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# =============================================================================
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FROM python:3.11-slim AS standalone
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WORKDIR /app
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# Install Node.js, curl, uv, and system dependencies
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# Note: libicu version varies by Debian version - try common versions in order
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RUN apt-get update && apt-get install -y \
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curl \
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procps \
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libxml2 \
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libssl3 \
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libgssapi-krb5-2 \
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libossp-uuid16 \
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&& (apt-get install -y libicu72 2>/dev/null || apt-get install -y libicu74 2>/dev/null || apt-get install -y libicu76 2>/dev/null || true) \
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&& curl -fsSL https://deb.nodesource.com/setup_20.x | bash - \
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&& apt-get install -y nodejs \
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&& rm -rf /var/lib/apt/lists/* \
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&& pip install --no-cache-dir uv
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RUN useradd -m -s /bin/bash hindsight
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# Copy API with virtual environment from builder
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COPY --from=api-builder /app/api /app/api
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# Copy built SDK
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COPY --from=sdk-builder /app/hindsight-clients/typescript /app/sdk
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# Copy Control Plane standalone build
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WORKDIR /app/control-plane
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COPY --from=cp-builder /app/memory-poc/hindsight-control-plane/standalone ./
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COPY --from=cp-builder /app/memory-poc/hindsight-control-plane/.next/static ./.next/static
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COPY --from=cp-builder /app/memory-poc/hindsight-control-plane/public ./public
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WORKDIR /app
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# Copy startup script
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COPY docker/standalone/start-all.sh /app/start-all.sh
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RUN chmod +x /app/start-all.sh
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RUN chown -R hindsight:hindsight /app
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USER hindsight
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# Create pg0 data directory as hindsight user so that Docker seeds new named
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# volumes with correct ownership (UID 1000) on first use, avoiding the
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# "Permission denied" error when mounting a fresh root-owned volume.
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RUN mkdir -p /home/hindsight/.pg0
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ENV PATH="/app/api/.venv/bin:${PATH}"
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# Pre-download tiktoken encoding (ALWAYS - required for token counting even in air-gapped envs)
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# Tiktoken is a core runtime dependency, not an optional ML model
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RUN MAX_RETRIES=3; \
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RETRY_DELAY=5; \
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for i in $(seq 1 $MAX_RETRIES); do \
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echo "Attempt $i/$MAX_RETRIES: Downloading tiktoken encoding..."; \
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/app/api/.venv/bin/python -c "\
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import tiktoken; \
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print('Downloading cl100k_base encoding...'); \
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tiktoken.get_encoding('cl100k_base'); \
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print('Tiktoken encoding cached successfully')" && break; \
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if [ $i -lt $MAX_RETRIES ]; then \
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echo "Attempt $i failed, retrying in ${RETRY_DELAY}s..."; \
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sleep $RETRY_DELAY; \
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RETRY_DELAY=$((RETRY_DELAY * 2)); \
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fi; \
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done; \
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if [ $i -eq $MAX_RETRIES ]; then \
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echo "ERROR: Failed to download tiktoken encoding after $MAX_RETRIES attempts"; \
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exit 1; \
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fi
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# Pre-download ML models to avoid runtime download (conditional)
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# Only runs if both PRELOAD_ML_MODELS=true AND INCLUDE_LOCAL_MODELS=true
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# Includes retry logic with exponential backoff for transient network failures
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ARG PRELOAD_ML_MODELS
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ARG INCLUDE_LOCAL_MODELS
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ENV HF_HUB_DOWNLOAD_TIMEOUT=600
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RUN if [ "$PRELOAD_ML_MODELS" = "true" ] && [ "$INCLUDE_LOCAL_MODELS" = "true" ]; then \
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MAX_RETRIES=3; \
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RETRY_DELAY=10; \
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for i in $(seq 1 $MAX_RETRIES); do \
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echo "Attempt $i/$MAX_RETRIES: Downloading ML models..."; \
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/app/api/.venv/bin/python -c "\
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import os; os.environ['HF_HUB_DOWNLOAD_TIMEOUT'] = '600'; \
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from sentence_transformers import SentenceTransformer, CrossEncoder; \
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print('Downloading embedding model...'); \
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SentenceTransformer('BAAI/bge-small-en-v1.5'); \
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print('Downloading cross-encoder model...'); \
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CrossEncoder('cross-encoder/ms-marco-MiniLM-L-6-v2'); \
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print('Models cached successfully')" && break; \
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if [ $i -lt $MAX_RETRIES ]; then \
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echo "Attempt $i failed, retrying in ${RETRY_DELAY}s..."; \
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sleep $RETRY_DELAY; \
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RETRY_DELAY=$((RETRY_DELAY * 2)); \
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fi; \
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done; \
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if [ $i -eq $MAX_RETRIES ] && ! /app/api/.venv/bin/python -c "from sentence_transformers import SentenceTransformer; SentenceTransformer('BAAI/bge-small-en-v1.5')" 2>/dev/null; then \
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echo "ERROR: Failed to download models after $MAX_RETRIES attempts"; \
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exit 1; \
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fi; \
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elif [ "$INCLUDE_LOCAL_MODELS" != "true" ]; then echo "Skipping ML model preload (local-models not included)"; \
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else echo "Skipping ML model preload"; fi
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EXPOSE 8888 9999
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ENV HINDSIGHT_API_HOST=0.0.0.0
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ENV HINDSIGHT_API_PORT=8888
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ENV HINDSIGHT_API_LOG_LEVEL=info
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ENV NODE_ENV=production
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ENV HINDSIGHT_CP_DATAPLANE_API_URL=http://localhost:8888
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ENV HINDSIGHT_ENABLE_API=true
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ENV HINDSIGHT_ENABLE_CP=true
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ENV PYTHONUNBUFFERED=1
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# Suppress verbose transformers/HuggingFace model loading warnings
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ENV TRANSFORMERS_VERBOSITY=error
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ENV HF_HUB_VERBOSITY=error
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ENV TOKENIZERS_PARALLELISM=false
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CMD ["/app/start-all.sh"]
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# =============================================================================
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# Default target selection based on build args
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# =============================================================================
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FROM standalone AS default-both
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FROM api-only AS default-api
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FROM cp-only AS default-cp
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# This selects the final stage based on INCLUDE_API and INCLUDE_CP
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# Use --target to override: docker build --target api-only .
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FROM standalone
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