Thomas Hallock
7ff69449d6
Full music recommendation pipeline: listening history capture via webhook, Last.fm candidate discovery, iTunes preview download, CLAP audio embeddings (512-dim), pgvector cosine similarity recommendations, playlist generation with known/new track interleaving, and Music Assistant playback via HA. Includes: FastAPI app, SQLAlchemy models, Alembic migrations, Docker Compose with pgvector/pg17, status dashboard, and all API endpoints. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
29 lines
613 B
Docker
29 lines
613 B
Docker
FROM python:3.12-slim
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# System deps for librosa/soundfile (ffmpeg for AAC decoding)
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RUN apt-get update && apt-get install -y --no-install-recommends \
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ffmpeg \
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libsndfile1 \
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&& rm -rf /var/lib/apt/lists/*
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WORKDIR /app
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# Install Python deps
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COPY pyproject.toml .
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RUN pip install --no-cache-dir .
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# Copy source
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COPY alembic.ini .
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COPY alembic/ alembic/
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COPY src/ src/
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# Install the project itself
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RUN pip install --no-cache-dir -e .
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# Create cache directories
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RUN mkdir -p /app/model-cache /app/audio-cache
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EXPOSE 8000
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CMD ["uvicorn", "haunt_fm.main:app", "--host", "0.0.0.0", "--port", "8000"]
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