Santhosh Janardhanan
f000f13672
Fixed multiple issues preventing the indexer from running: - Docker COPY paths: companion/ → src/companion/ to match project structure - pyproject.toml: [tool.hatchling] → [tool.hatch.build.targets.wheel] - api.py: ChatOrchestrator init params (session_memory instead of http_client) - chunker.py: Fixed character-based chunking (was word-based, causing 400 errors from Ollama embedding API due to exceeding token limits) - config.json: Use exact model tag mxbai-embed-large:335m - docker-compose.yml: Fixed vault mount path
33 lines
845 B
Docker
33 lines
845 B
Docker
# Indexer-only Dockerfile (lightweight, no API dependencies)
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FROM python:3.11-slim
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WORKDIR /app
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# Install dependencies
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RUN apt-get update && apt-get install -y \
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build-essential \
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&& rm -rf /var/lib/apt/lists/*
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# Install Python dependencies
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RUN pip install --no-cache-dir \
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pydantic lancedb pyarrow requests watchdog typer rich numpy httpx
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# Copy application code
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COPY src/companion/ ./companion/
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COPY src/companion/indexer_daemon/ ./companion/indexer_daemon/
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COPY src/companion/rag/ ./companion/rag/
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# Create directories for data
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RUN mkdir -p /data/vectors
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# Copy default config
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COPY config.json /app/config.json
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# Environment variables
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ENV PYTHONPATH=/app
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ENV COMPANION_CONFIG=/app/config.json
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ENV COMPANION_DATA_DIR=/data
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# Default command (can be overridden)
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CMD ["python", "-m", "companion.indexer_daemon.cli", "index"]
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