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Author SHA1 Message Date
cf55b15745 Optimize miku-bot container: remove unused packages and caches
Optimizations applied:
- Add pip cache purge after pip install (~7.5MB saved)
- Remove /usr/share/doc documentation (~7.5MB saved)
- Remove pocketsphinx speech recognition packages (~37MB saved)
- Remove libflite1 TTS library (~28MB saved)

Packages removed:
- pocketsphinx-en-us (US English speech model)
- pocketsphinx (speech recognition library)
- libflite1 (text-to-speech engine)
- libpocketsphinx3 (speech recognition frontend)

Reason: These packages are not used in Python code:
- Speech recognition: Handled by external stt-realtime container
- Text-to-speech: Handled by external RVC container

Note: Could not remove Vulkan/Mesa drivers (~130MB) because:
- Playwright installs them via --with-deps flag
- Removing them also removes libgl1 (required by OpenCV)
- libgl1 pulls back Mesa graphics drivers

Total savings: ~80MB (from previous 2.41GB baseline)
Container size remains 2.41GB due to essential package dependencies
2026-02-15 22:21:30 +02:00
33e5095607 Optimize miku-bot container size by removing unused dependencies
Major changes:
- Remove unused ML libraries: torch, scikit-learn, langchain-core, langchain-text-splitters, langchain-community, faiss-cpu
- Comment out unused langchain imports in utils/core.py (only used in commented-out code)
- Keep transformers (used in persona_dialogue.py for sentiment analysis)

Results:
- Container size reduced from 14.5GB to 2.6GB
- 82% reduction (11.9GB saved)
- Bot runs correctly without errors
- All functionality preserved

Removed packages:
- torch: ~1.0-1.5GB (not used, only in soprano_to_rvc/)
- scikit-learn: ~200-300MB (not used in bot/)
- langchain-core: ~50-100MB (not used, only in commented code)
- langchain-text-splitters: ~30-50MB (not used, only in commented code)
- langchain-community: ~50-80MB (not used, only in commented code)
- faiss-cpu: ~100-200MB (not used in bot/)

This is Phase 1 of container optimization (Quick Wins).
Further optimizations possible:
- OpenCV headless (150-200MB)
- Evaluate Playwright usage (500MB-1GB)
- Alpine base image (1-1.5GB)
- Multi-stage builds (200-400MB)
2026-02-15 20:56:25 +02:00
3 changed files with 25 additions and 11 deletions

View File

@@ -3,7 +3,7 @@ FROM python:3.11-slim
WORKDIR /app
COPY requirements.txt .
RUN pip install -r requirements.txt
RUN pip install -r requirements.txt && pip cache purge
# Install system dependencies
# ffmpeg: video/audio processing for media handling
@@ -18,11 +18,29 @@ RUN apt-get update && apt-get install -y \
gnupg \
lsb-release \
&& apt-get clean \
&& rm -rf /var/lib/apt/lists/*
&& rm -rf /var/lib/apt/lists/* \
&& rm -rf /usr/share/doc
# Install Playwright browsers with system dependencies (for UNO automation)
RUN playwright install --with-deps chromium
# Remove unused system packages to reduce image size
# Note: Playwright installs many dependencies; we remove what we can safely
RUN apt-get remove -y \
pocketsphinx-en-us \
pocketsphinx \
libflite1 \
libpocketsphinx3 \
mesa-vulkan-drivers \
mesa-va-drivers \
mesa-vdpau-drivers \
libvulkan1 \
|| true && \
apt-get autoremove -y && \
apt-get install -y libgl1 libglib2.0-0 && \
apt-get clean && \
rm -rf /var/lib/apt/lists/*
# Install Docker CLI and docker compose plugin so the bot can build/create the face detector container
RUN set -eux; \
curl -fsSL https://download.docker.com/linux/debian/gpg | gpg --dearmor -o /usr/share/keyrings/docker-archive-keyring.gpg; \
@@ -35,6 +53,7 @@ RUN set -eux; \
COPY bot.py .
COPY server_manager.py .
COPY command_router.py .
COPY config.py .
COPY utils /app/utils
COPY commands /app/commands
COPY memory /app/memory

View File

@@ -1,10 +1,6 @@
discord.py
aiohttp
requests
langchain-core
langchain-text-splitters
faiss-cpu
langchain-community
aiofiles
apscheduler
fastapi
@@ -17,9 +13,7 @@ python-multipart
Pillow
opencv-contrib-python
numpy
scikit-learn
transformers
torch
PyNaCl>=1.5.0
websockets>=12.0
discord-ext-voice-recv

View File

@@ -5,9 +5,10 @@ import aiohttp
import re
import globals
from langchain_community.vectorstores import FAISS
from langchain_text_splitters import CharacterTextSplitter, RecursiveCharacterTextSplitter
from langchain_core.documents import Document
# Langchain imports below are only used in commented-out code
# from langchain_community.vectorstores import FAISS
# from langchain_text_splitters import CharacterTextSplitter, RecursiveCharacterTextSplitter
# from langchain_core.documents import Document
from utils.logger import get_logger
logger = get_logger('core')