Initial haunt-fm implementation

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>

Dockerfile

@@ -0,0 +1,28 @@
+FROM python:3.12-slim
+
+# System deps for librosa/soundfile (ffmpeg for AAC decoding)
+RUN apt-get update && apt-get install -y --no-install-recommends \
+    ffmpeg \
+    libsndfile1 \
+    && rm -rf /var/lib/apt/lists/*
+
+WORKDIR /app
+
+# Install Python deps
+COPY pyproject.toml .
+RUN pip install --no-cache-dir .
+
+# Copy source
+COPY alembic.ini .
+COPY alembic/ alembic/
+COPY src/ src/
+
+# Install the project itself
+RUN pip install --no-cache-dir -e .
+
+# Create cache directories
+RUN mkdir -p /app/model-cache /app/audio-cache
+
+EXPOSE 8000
+
+CMD ["uvicorn", "haunt_fm.main:app", "--host", "0.0.0.0", "--port", "8000"]