Initial release v1.0.0

services/audio-analyzer/Dockerfile

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+# Audio Analyzer Service - Essentia with TensorFlow (MusiCNN)
+# Using Ubuntu 20.04 with Python 3.8 for essentia-tensorflow compatibility
+FROM ubuntu:20.04
+
+# Avoid interactive prompts
+ENV DEBIAN_FRONTEND=noninteractive
+ENV TZ=UTC
+
+# Install system dependencies
+RUN apt-get update && apt-get install -y --no-install-recommends \
+    python3 \
+    python3-dev \
+    python3-pip \
+    ffmpeg \
+    curl \
+    && rm -rf /var/lib/apt/lists/*
+
+# Upgrade pip
+RUN pip3 install --upgrade pip setuptools wheel
+
+WORKDIR /app
+
+# Install essentia-tensorflow (includes TensorFlow + MusiCNN support)
+RUN pip3 install --no-cache-dir essentia-tensorflow
+
+# Verify TensorflowPredictMusiCNN is available
+RUN python3 -c "from essentia.standard import TensorflowPredictMusiCNN, TensorflowPredict2D; print('MusiCNN and TensorflowPredict2D: OK')"
+
+# Create models directory
+RUN mkdir -p /app/models
+
+# Download MusiCNN models from essentia.upf.edu/models/
+# Base embedding model
+RUN curl -L -o /app/models/msd-musicnn-1.pb \
+    "https://essentia.upf.edu/models/autotagging/msd/msd-musicnn-1.pb"
+
+# Mood classification heads (using MusiCNN embeddings)
+RUN curl -L -o /app/models/mood_happy-msd-musicnn-1.pb \
+    "https://essentia.upf.edu/models/classification-heads/mood_happy/mood_happy-msd-musicnn-1.pb" && \
+    curl -L -o /app/models/mood_sad-msd-musicnn-1.pb \
+    "https://essentia.upf.edu/models/classification-heads/mood_sad/mood_sad-msd-musicnn-1.pb" && \
+    curl -L -o /app/models/mood_relaxed-msd-musicnn-1.pb \
+    "https://essentia.upf.edu/models/classification-heads/mood_relaxed/mood_relaxed-msd-musicnn-1.pb" && \
+    curl -L -o /app/models/mood_aggressive-msd-musicnn-1.pb \
+    "https://essentia.upf.edu/models/classification-heads/mood_aggressive/mood_aggressive-msd-musicnn-1.pb" && \
+    curl -L -o /app/models/mood_party-msd-musicnn-1.pb \
+    "https://essentia.upf.edu/models/classification-heads/mood_party/mood_party-msd-musicnn-1.pb" && \
+    curl -L -o /app/models/mood_acoustic-msd-musicnn-1.pb \
+    "https://essentia.upf.edu/models/classification-heads/mood_acoustic/mood_acoustic-msd-musicnn-1.pb" && \
+    curl -L -o /app/models/mood_electronic-msd-musicnn-1.pb \
+    "https://essentia.upf.edu/models/classification-heads/mood_electronic/mood_electronic-msd-musicnn-1.pb"
+
+# Other classification heads
+RUN curl -L -o /app/models/danceability-msd-musicnn-1.pb \
+    "https://essentia.upf.edu/models/classification-heads/danceability/danceability-msd-musicnn-1.pb" && \
+    curl -L -o /app/models/voice_instrumental-msd-musicnn-1.pb \
+    "https://essentia.upf.edu/models/classification-heads/voice_instrumental/voice_instrumental-msd-musicnn-1.pb"
+
+# Verify models downloaded
+RUN echo "Models downloaded:" && ls -lh /app/models/
+
+# Install other dependencies
+RUN pip3 install --no-cache-dir redis psycopg2-binary sqlalchemy python-dotenv 'numpy>=1.19.0,<2.0.0'
+
+# Copy application code
+COPY analyzer.py .
+
+# Create non-root user
+RUN useradd -m -u 1000 analyzer && \
+    chown -R analyzer:analyzer /app
+
+USER analyzer
+
+# Health check
+HEALTHCHECK --interval=30s --timeout=10s --start-period=10s --retries=3 \
+    CMD python3 -c "from essentia.standard import TensorflowPredictMusiCNN; print('OK')" || exit 1
+
+CMD ["python3", "analyzer.py"]

services/audio-analyzer/requirements.txt

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+# Audio Analyzer Requirements
+# Note: essentia-tensorflow is installed directly in Dockerfile for Python 3.7
+
+# Queue and database
+redis>=4.5.0
+psycopg2-binary>=2.9.0
+sqlalchemy>=2.0.0
+
+# Configuration
+python-dotenv>=1.0.0
+
+# Numeric operations (compatible with older TensorFlow)
+numpy>=1.19.0,<1.24.0