# Dockerfile для обуч��ния wake word модели openWakeWord
# Python 3.11 + torch (CPU) — без tensorflow (нам нужен только ONNX, не TFLite)
FROM python:3.11-slim

WORKDIR /app

# Системные зависимости
RUN apt-get update && apt-get install -y --no-install-recommends \
    git wget curl ffmpeg libsndfile1 \
    build-essential python3-dev cmake \
    && rm -rf /var/lib/apt/lists/*

# --- Слой 1: PyTorch (самый тяжёлый, кэшируется) ---
RUN pip install --no-cache-dir \
    torch==2.5.0 \
    torchaudio==2.5.0 \
    --index-url https://download.pytorch.org/whl/cpu

# --- Слой 2: ML-зависимости (без tensorflow!) ---
RUN pip install --no-cache-dir \
    mutagen==1.47.0 \
    torchinfo==1.8.0 \
    torchmetrics==1.2.0 \
    speechbrain==1.0.3 \
    pronouncing==0.2.0 \
    acoustics==0.2.6 \
    pyyaml "scipy<1.15" scikit-learn tqdm

# --- Слой 3: Аудио-аугментация ---
RUN pip install --no-cache-dir \
    audiomentations==0.43.1 \
    torch-audiomentations==0.12.0

# --- Слой 4: Датасеты и ONNX ---
RUN pip install --no-cache-dir \
    "datasets>=2.20.0" \
    "pyarrow>=15.0.0" \
    webrtcvad \
    onnx \
    onnxruntime

# --- Сл��й 5: openWakeWord ---
RUN git clone https://github.com/dscripka/openWakeWord /openWakeWord
RUN pip install --no-cache-dir -e /openWakeWord

# Ресурсные модели для feature extraction (melspectrogram + embedding)
RUN mkdir -p /openWakeWord/openwakeword/resources/models && \
    wget -q -O /openWakeWord/openwakeword/resources/models/melspectrogram.onnx \
        "https://github.com/dscripka/openWakeWord/releases/download/v0.5.1/melspectrogram.onnx" && \
    wget -q -O /openWakeWord/openwakeword/resources/models/embedding_model.onnx \
        "https://github.com/dscripka/openWakeWord/releases/download/v0.5.1/embedding_model.onnx"

# Патч train.py: убираем зависимость от onnx_tf/tensorflow (нам нужен только ONNX)
RUN python - <<'PATCH'
import pathlib

train_py = pathlib.Path("/openWakeWord/openwakeword/train.py")
text = train_py.read_text()

# Заменяем всю функцию convert_onnx_to_tflite на заглушку
old_func = text[text.find("def convert_onnx_to_tflite("):]
old_func = old_func[:old_func.find("\nif __name__")]
new_func = '''def convert_onnx_to_tflite(onnx_model_path, output_path):
    """Skipped — ONNX-only mode, TFLite not needed."""
    return None
'''
text = text.replace(old_func, new_func)

train_py.write_text(text)
print("train.py patched: convert_onnx_to_tflite replaced with stub")
PATCH

# --- Слой 6: piper-sample-generator v2.0.0 (совместим с openWakeWord train.py) ---
RUN git clone --branch v2.0.0 https://github.com/rhasspy/piper-sample-generator /piper-sample-generator
RUN pip install --no-cache-dir piper-phonemize || true
RUN pip install --no-cache-dir -e /piper-sample-generator 2>/dev/null || \
    pip install --no-cache-dir piper-tts

# TTS модель (.pt checkpoint) для генерации примеров
RUN mkdir -p /piper-sample-generator/models && \
    wget -q --show-progress \
        -O /piper-sample-generator/models/en_US-libritts_r-medium.pt \
        "https://github.com/rhasspy/piper-sample-generator/releases/download/v2.0.0/en_US-libritts_r-medium.pt"

RUN mkdir -p /data /output /samples

COPY entrypoint.sh /entrypoint.sh
RUN chmod +x /entrypoint.sh

ENTRYPOINT ["/entrypoint.sh"]