- 새 모듈 `crates/kebab-parse-image/src/ocr.rs` 추가. spec 의 `OcrEngine`
trait 그대로 + `OllamaVisionOcr` default 구현 + `apply_ocr` 헬퍼.
- `OllamaVisionOcr`: `<endpoint>/api/generate` 비스트리밍 호출,
`images: [base64]` 필드로 이미지 전달, 프롬프트는 언어 힌트
+ 화이트리스트 언어 목록 포함. 응답 prose 를 `OcrText.joined` 로,
prepared image 전체 영역 단일 region (confidence 1.0) 으로 wrap.
기본 모델 `gemma4:e4b`. endpoint 비어 있으면 `models.llm.endpoint`
로 fallback.
- 이미지 전처리: long-edge `config.image.ocr.max_pixels` (기본 1600,
256~4096 클램프) 초과 시 PNG 로 재인코딩 (image::imageops::resize,
Triangle filter). PNG 입력이 max 이내면 zero-copy passthrough.
- `apply_ocr` 는 OCR 성공 시 block.ocr 를 Some 으로 채우고
ProvenanceKind::OcrApplied 이벤트 추가. 실패 시 block.ocr 는
None 그대로 + provenance 미기록 (부분 상태 누출 금지).
- `kebab-config`: 새 `ImageCfg.ocr: OcrCfg` 블록 (enabled/engine/model
/endpoint/languages/max_pixels). `#[serde(default)]` 로 pre-P6
TOML 호환. `KEBAB_IMAGE_OCR_*` 환경변수 5종 추가.
## Spec deviation
원래 P6-2 spec 은 Tesseract 를 default OCR 엔진으로 지정했으나, dev /
CI 호스트에서 `libtesseract-dev` 시스템 패키지 설치를 피하려고
Ollama-vision 으로 default 를 교체. `OcrEngine` trait 추상화는 spec
그대로 보존 — Tesseract / Apple Vision / PaddleOCR 어댑터는 같은
trait 으로 추후 feature-gate 추가 가능. 자세한 내역은
`tasks/HOTFIXES.md` 2026-05-02 항목 참조.
Trust 측면: vision LM 은 hallucinate 가능. `OcrText.engine = "ollama-vision"`
필드로 consumer 가 엔진 별 신뢰 분기 가능.
## 테스트
- 신규 (`tests/ocr.rs`, 8 + 1 ignored):
- 200 happy → OcrText 디코딩 (joined / engine / engine_version /
region count / bbox / confidence)
- 빈 응답 → 빈 regions
- 5xx → Err with status + body 포함
- 200 error envelope → Err
- apply_ocr → block.ocr Some + Provenance OcrApplied 1건
- apply_ocr error → block.ocr None 유지 + events 미기록
- 4000×3000 PNG → max_pixels=1024 까지 다운스케일, aspect ratio 보존
- from_parts max_pixels 클램프
- opt-in `KEBAB_OCR_INTEGRATION=1` 통합 (실제 192.168.0.47 Ollama
`gemma4:e4b` 로 \"Hello World 2026\" 전사 검증 완료)
- 신규 (`src/ocr.rs` unit): truncate, build_prompt 언어/힌트 처리
- `kebab-config` 테스트 +3: defaults, env override, pre-P6 TOML 호환
전체: `cargo test -p kebab-parse-image` 28 pass + 1 ignored,
`cargo test -p kebab-config` 20 pass,
`cargo clippy --workspace --all-targets -- -D warnings` pass.
contract: docs/superpowers/specs/2026-04-27-kebab-final-form-design.md
sections: §3.4 ImageRefBlock.ocr, §3.7a OcrText / OcrRegion, §9.1 OCR
vs caption provenance.
8.7 KiB
title, date
| title | date |
|---|---|
| Post-merge hotfixes log | 2026-05-01 |
Post-merge hotfixes log
Bugs discovered AFTER a phase task was merged, and the small follow-up PRs that close them. Each entry: what broke, how it surfaced, what the fix touched, and which task spec it amends.
The original task specs in tasks/p<N>/p<N>-<M>-*.md stay frozen as the
historical contract that was implemented; this file accumulates the
deltas so phase 5+ readers can find the live behavior without diffing
git history.
2026-05-02 — P6-2 default OCR engine: Tesseract → Ollama-vision
Discovered: P6-2 implementation start.
Symptom: The original tasks/p6/p6-2-ocr-adapter.md spec lists Tesseract as the default OCR engine (tesseract = "0.13", feature tesseract, default ON). Bringing Tesseract online requires installing libtesseract-dev (and tesseract-ocr-kor for the spec-default Korean languages set) on every dev / CI host. The kebab dev environment intentionally avoids system-package installs, so the Tesseract Rust bindings can't link.
Root cause: Spec was written assuming a Linux host with apt install tesseract-ocr-* available. The reality of single-developer local-first KB is that the same box also runs the Ollama vision endpoint already wired by P4-2 — using it for OCR adds zero new system dependencies.
Fix (PR #33, feat/p6-2-ocr-adapter):
- New
OllamaVisionOcradapter undercrates/kebab-parse-image/src/ocr.rs. Implements the spec'sOcrEnginetrait by POSTing the image (base64) to<endpoint>/api/generatewith a transcription prompt againstgemma4:e4b(default) or any other vision-capable Ollama model. - New
kebab-config::ImageCfg.ocrblock (enabled,engine,model,endpoint,languages,max_pixels).enableddefaults tofalsebecause OCR adds a model call per asset;enginedefaults to"ollama-vision".endpointfalls back tomodels.llm.endpointwhen empty so the same Ollama host serves both LLM and OCR. - The
OcrEnginetrait is unchanged from the spec — Tesseract / Apple Vision / PaddleOCR engines plug in as future feature-gated alternatives without touching the extractor or chunker. The trait abstraction is the part the spec actually demanded; only the choice of default implementation changes. - Tests cover wiremock unit paths (200 happy / 5xx / 200 error envelope / empty response / downscale honours
max_pixels),apply_ocrprovenance + error handling, and an opt-inKEBAB_OCR_INTEGRATION=1integration test that hits a real Ollama endpoint with a generated"Hello World 2026"PNG. Tesseract feature-gated tests from the original spec are deferred to whenever someone is willing to bringlibtesseractto CI.
Trust note: The original spec marked OcrText as "observed text (high trust)" to distinguish it from ModelCaption. With an LLM-driven default the line blurs — vision LMs can hallucinate. We kept OcrText.engine = "ollama-vision" so consumers can decide trust by engine identity. Future Tesseract / Apple Vision adapters write a different engine string and downstream code can branch.
Amends: tasks/p6/p6-2-ocr-adapter.md (default engine; "Allowed dependencies" list — reqwest + base64 replace tesseract; "Apple Vision" feature gate deferred; min_confidence config field dropped because the LM doesn't expose per-region confidence).
2026-05-01 — --config flag silently ignored across all kebab-cli subcommands
Discovered: post-P3-5 manual smoke at /tmp/kebab-smoke/.
Symptom: kebab --config /path/to/config.toml ingest|search|list|inspect|doctor ignored the flag and fell back to ~/.config/kebab/config.toml (XDG default). Users had to use KEBAB_* env vars to point at a non-default config.
Root cause: kebab-cli read cli.config only inside Cmd::Ingest to build SourceScope, then called bare kebab_app::ingest(scope, summary_only) which internally re-loaded Config::load(None) (XDG path). Same pattern in Cmd::Search / List / Inspect / Doctor. P3-5 introduced *_with_config test seams via #[doc(hidden)] pub fn but kebab-cli never used them.
Fix (PR #20, fix/cli-config-flag-and-search-output):
kebab-clinow builds the Config once viaConfig::load(cli.config.as_deref())at the top of every subcommand and threads it intokebab_app::*_with_config(cfg, ...)instead ofkebab_app::*(...).kebab_app::doctor()rewritten asdoctor_with_config_path(Option<&Path>)that reports the actual path probed and hard-fails when--config <path>doesn't exist (defaults would otherwise mask user intent).kebab-appmodule doc-comment updated:#[doc(hidden)] pub fn *_with_configis no longer "test-only seam" — it's the official "config-explicit" API consumed by CLI--config, integration tests, and TUI sessions.- Same PR also improved
kebab searchprinter:{:.4}score formatting (RRF range collapses on{:.2}) and> heading_pathsuffix so chunks from the same document are visually distinct.
Amends: tasks/p3/p3-5-app-wiring.md (the test seam was always meant to be the config-explicit API; only the doc-comment lied).
2026-05-01 — --config regression in kebab ask (P4-3 follow-up)
Discovered: post-P4-3 manual smoke against 192.168.0.47 Ollama with gemma4:26b.
Symptom: kebab --config <path> ask returned model.id = qwen2.5:14b-instruct (XDG default model) and score_gate = 0.30 (XDG default), instead of gemma4:26b / 0.05 from the explicit config. P4-3 added the ask body but kebab-cli's Cmd::Ask arm still called bare kebab_app::ask(query, opts) — same regression class as the P3-5 fix above, just missed when ask was wired.
Fix (PR #24, fix/cli-ask-honor-config-flag):
kebab-clibuildsConfig::load(cli.config.as_deref())once at the top ofCmd::Askand callskebab_app::ask_with_config(cfg, query, opts).
Amends: tasks/p4/p4-3-rag-pipeline.md.
2026-05-01 — RRF fusion_score incompatible with config.rag.score_gate default
Discovered: post-P4-3 manual smoke. Top hybrid result returned fusion_score = 0.0164 against score_gate = 0.05 → ScoreGate refusal on every hybrid query.
Root cause: RRF formula score(c) = Σ 1/(k_rrf + rank_m(c)) produces values bounded by num_retrievers / (k_rrf + 1). With num_retrievers = 2 and the default k_rrf = 60, the upper bound is 2/61 ≈ 0.0328. The default config.rag.score_gate = 0.05 was calibrated for vector / lexical scores already in [0, 1] and silently refused every hybrid query. fusion_score was also incomparable across modes — Lexical / Vector lived in [0, 1], Hybrid lived in (0, 0.033].
Fix (PR #25, fix/rrf-fusion-score-normalize-and-docs):
crates/kebab-search/src/hybrid.rsdivides every raw RRF score by2 / (k_rrf + 1)sofusion_scorealways lives in[0, 1]regardless of mode. Both retrievers contributing rank 1 normalises to1.0; chunks present in only one retriever cap around0.5. RRF's rank-ordering invariants are preserved (same constant divides every score), so sort + tiebreak behaviour is identical.- One unit test (
rrf_formula_matches_known_value) updated to expect the normalised value(1/61 + 1/62) / (2/61) ≈ 0.9919. - The integration snapshot
crates/kebab-search/tests/fixtures/search/hybrid/run-1.jsonalready used presence checks (fusion_score_positive: true) rather than absolute values, so it didn't need regeneration.
Why not a per-mode score_gate config: separate lexical_score_gate / vector_score_gate / hybrid_score_gate would force every downstream consumer (CLI, eval, TUI) to know which mode picks which threshold. Normalising the score itself is a one-line change at the source and makes Answer.retrieval.score_gate semantically meaningful without per-mode bookkeeping.
Amends: tasks/p3/p3-4-hybrid-fusion.md (RRF formula now divides by 2/(k_rrf+1) after summation), tasks/phase-3-vector-hybrid.md (RRF section).
Verification: post-fix smoke at /tmp/kebab-smoke/ with default score_gate = 0.05 succeeded across four scenarios — Korean→Korean, English→English, cross-language, and out-of-corpus refusal.
How to add an entry
Each fix gets a dated subsection with five fields:
- Discovered: when / how the bug surfaced (smoke, integration test, user report).
- Symptom: what the user saw / what was wrong.
- Root cause: the actual code or design issue.
- Fix: PR number / branch + a one-paragraph summary of the change.
- Amends: which
tasks/p<N>/...spec docs the fix retroactively contradicts. Spec text stays frozen; this log is the live source of truth for post-merge deltas.
If a fix is large enough that the original spec is no longer a useful reference, promote the entry into a new task spec (e.g., p<N>-<M+1>-<topic>.md) and link from here.