Five workers built output URIs with inline f-strings, so the bucket-per-artifact
layout was spread across worker_tts, worker_identity, worker_crop, worker_layers
and worker_render. Moving a class between buckets meant a grep. They are now
templates in transport.py, formatted at each call site.
Three of those workers also each reimplemented the same parse to recover
manga_id and chapter_id from an input uri, because the orchestrator does not
send them. That is transport.ids_from_uri now, and it raises on a uri too short
to carry the ids rather than returning a wrong pair.
ruff.toml makes `ruff check .` exit 0, so CI can gate on it and a new finding
means a new defect. Fixed: an implicit Optional in 8 signatures, an unparenthesized
implicit concatenation in the ASS filter list, 5 subprocess.run calls now saying
check=False out loud, an unused import, a duplicate exception handler and a
non-executable shebang. Every rule left off carries its reason in ruff.toml.
The ASYNC rules are off because ffmpeg on the event loop is real and already
recorded at caveats/audit-open.md#blocking-event-loop. It needs a refactor per
handler, not a lint fix.
Checked: transport, collage, bubble_detect, test_vision_parse, worker_crop,
worker_scene, worker_script, worker_identity, worker_tts, session_manager,
worker_vision and worker_render self-checks all pass. worker_layers still fails
on a missing legacy/qwen_layered_workflow.json, which predates this branch.
Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
Panels, wavs, layers, clips, and the chapter mp4 leave the `manga` bucket for
`panels`, `audio`, `layers`, and `video`. The key under the bucket is unchanged,
so every reader that derives the bucket from the first path segment keeps
working. The orchestrator half moves in the same commit, per invariant 7.
The 2026-08-11 chapter run proves the split for `raw` and `panels` and produced
the first quality read on speaker attribution, which is wrong in every sampled
multi-character panel.
Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01XD7cAy81MZrc7gCr6aZGWr
Rebuild the venv half of the reconstruction. Adds the two CPU onnx
detectors back under models/ (comic-text-detector, deepghs anime face,
both gitignored), re-clones the dots.tts checkout, and records both
recipes in requirements.txt so the next rebuild skips the archaeology.
Two pre-existing environment breakages had to be cleared:
- Arch's torchvision 0.25 is too old for torch 2.13, so every
transformers model import died with "operator torchvision::nms does
not exist". Shadowed with 0.28.0+rocm7.2 inside the venv only, so the
system copy stays put.
- dots_tts refuses to import when torch and torchaudio minors differ,
and that pair is unsatisfiable here: 2.11 is the newest torchaudio
ROCm wheel there is. Verified 2.11 loads and resamples against 2.13,
then scoped a bypass around the import in both call sites.
Self-checks 13/14. worker_layers still needs the ComfyUI workflow json,
which legacy/ took with it.
Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
Working tree (including .git) was lost to an rm. Rebuilt by replaying Write/Edit/
Read/attachment events from 25 Claude sessions and 22 successful codex apply_patch
blocks into one timestamp-ordered timeline.
Verified against ground truth recorded in the transcripts: wc -l on 10 files and
ls -l on 5 files at 2026-07-18T13:13:44Z both match exactly; 18 files are
byte-identical to their newest ~/.claude/file-history blob.
See HANDOFF.md for sources, gaps, and how to rebuild .venv.
Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
kami