ashim-hq b259f765de feat: strip ML packages from Docker image, bootstrap AI venv on first run ...

Remove all ML pip installs (onnxruntime, rembg, realesrgan, paddlepaddle,
mediapipe, codeformer), model downloads, and post-install fixups from the
Dockerfile. The base image now ships only Node.js + Sharp + Python with
numpy/Pillow/opencv. AI features are installed on-demand at runtime via
the feature manifest and install_feature.py script.

Key changes:
- Remove SKIP_MODEL_DOWNLOADS build arg (no longer needed)
- Remove apt-get purge of build-essential (needed for runtime pip installs)
- Remove PaddleX symlinks and facexlib weight directory setup
- Add COPY of feature-manifest.json and install_feature.py
- Update PYTHON_VENV_PATH to /data/ai/venv, add MODELS_PATH and DATA_DIR
- Entrypoint bootstraps AI venv from /opt/venv on first container start
  with crash-safe temp directory pattern

2026-04-18 02:57:47 +08:00

..

.dockerignore

feat: add multi-stage Docker build with Python ML dependencies

2026-03-22 03:09:14 +08:00

docker-compose.test.yml

chore: rename Stirling-Image to ashim across entire codebase

2026-04-14 20:55:42 +08:00

docker-compose.yml

chore: rename Stirling-Image to ashim across entire codebase

2026-04-14 20:55:42 +08:00

Dockerfile

feat: strip ML packages from Docker image, bootstrap AI venv on first run

2026-04-18 02:57:47 +08:00

Dockerfile.test

chore: rename Stirling-Image to ashim across entire codebase

2026-04-14 20:55:42 +08:00

download_models.py

Enhance logging and error handling across tools; add full tool audit and Playwright tests

2026-04-17 23:06:31 +08:00

entrypoint.sh

feat: strip ML packages from Docker image, bootstrap AI venv on first run

2026-04-18 02:57:47 +08:00

feature-manifest.json

feat: add feature manifest with exact package versions and model URLs

2026-04-18 02:26:54 +08:00