The production directory oldbox calls "deal-hunter-es" declares target_language "es-ES", its glossary says Spanish, and its 32-chapter run finished - and all 3,038 translated paragraphs are in Chinese. It is a second Chinese draft filed under a Spanish name. The cause is in the pipeline: the drafter's instructions are hard-coded to Simplified Chinese in three places (SYSTEM_DRAFTER, draft_prompt, SYSTEM_CRITIC), so the glossary's target language was ignored. No non-Chinese translation has ever been produced by that pipeline. The danger at this end is that the rows would be stored under "es", the review lane would look populated, and a reviewer would approve Chinese as Spanish. So the ingest now checks the script of the delivered text against the declared language, and refuses the delivery before writing a single row. The check is about the script, not the language: it cannot tell Spanish from Portuguese, but it can tell Chinese from Spanish, which is the mistake that actually happens. Japanese needs its kana and Korean its Hangul, and a Chinese delivery carrying kana is a Japanese translation filed in the wrong lane. An unknown language is not checked - there is no expectation to check it against. Proven on the real data: the es delivery is refused with "the text is mostly Han characters, so it is not Spanish", and the 4,300-row Chinese delivery still imports unchanged. 19 new tests. Suite: 909 passed, 8 failed (the same 8 pre-existing failures).
UmbraAudio
Quality-first multi-pass audiobook generation from English manuscripts.
Features
- 5-pass pipeline: Analysis → Voice Design → Mapping → Test → Generate
- Multi-engine TTS: Chatterbox (primary), Qwen3-TTS (secondary)
- LLM-enhanced: BookNLP for NLP, LLM for profiling/emotion/pronunciation
- Web review: FastAPI + HTMX at checkpoints for human approval
Quick Start
python -m umbraaudio.cli init <manuscript.epub> --name 'My Book'
python -m umbraaudio.cli analyze
python -m umbraaudio.cli voices
python -m umbraaudio.cli review
Requirements
- Python 3.11+
- NVIDIA GPU with CUDA support (RTX 3060 or better recommended)
- ffmpeg
Development
pip install -e ".[dev]"
ruff check umbraaudio/
pytest tests/ -v
Commit cadence: commit at least once every Sunday. Never leave a week (let alone a month) of work uncommitted — a single accidental
git checkouton 2026-09-20 wiped out a month of changes toumbraaudio/web/routes.py. SeeAGENTS.md→ Commit Cadence.
scripts/commit_check.sh enforces the nudge: it exits non-zero once the tree has been dirty
longer than a week. The LaunchAgent com.umbraaudio.commitcheck runs it every Sunday at
18:00 and posts a macOS notification when there is uncommitted work.
scripts/commit_check.sh # warn if dirty > 7 days
scripts/commit_check.sh --days 3 # tighter threshold
scripts/commit_check.sh --any # warn on any uncommitted change
Rebuilding from source
The repo tracks source only; large runtime data is reconstructed as needed.
-
Models: weights are not committed (see
.gitignore). Download them:bash scripts/download_models.sh # ~9 GB, targets ./models -
Qwen3-TTS is a git submodule pinned to upstream commit
022e286:git submodule update --init --recursiveThe
tts_server/web-demo backend includes a local UI customization toqwen_tts/cli/demo.py. It is preserved as a patch — reapply it after checking out the submodule:cd Qwen3-TTS && git apply ../scripts/qwen3_tts_demo_umbra_patch.patch -
Environment: copy/keep
.env(contains secrets) and setUMBRA_TTS__*model paths undermodels/.
Book projects (e.g. DealHunterShip_...) are committed separately under their
own project directories and are not part of this program repository.