13:31 · repliedpdfplumber is available. Let me extract the PDF text while running greps in parallel.
13:31 · askedREAD-ONLY task except for the scratchpad. Do not modify any project file.
Compare the CHART IDENTIFIER SCHEMES of three projects:
A) /Users/liwimoi/projects/knia-dag — chart ids look like `cha-44-1`, `cha-55-7` (see /Users/liwimoi/projects/knia-dag/data/leaf-facts/*.yaml filenames, /Users/liwimoi/projects/knia-dag/data/leaves.tsv, /Users/liwimoi/projects/knia-dag/dist/registry.json, /Users/liwimoi/projects/knia-dag/data/tree/leaves.json). Claims "2023-06-30 edition, 108 charts" of 자동차 대 자동차.
B) /Users/liwimoi/projects/resolve-questions — see /Users/liwimoi/projects/resolve-questions/out/knia-registry.json, out/knia-clean_table.json, proposal/rules.v2.json.
C) /Users/liwimoi/projects/new-knia — /Users/liwimoi/projects/new-knia/data/charts.json (crawled from accident.knia.or.kr, claimed 201 charts across 차대차/차대보행자/차대자전거), plus /Users/liwimoi/projects/new-knia/knia/ontology/branch.generated.yaml and branch.guards.yaml.
ANSWER PRECISELY:
1. What is the exact full list of chart ids in each project? (For knia-dag give the set of `cha-N-M` ids; for new-knia give the id format and the ids in the 차대차 같은방향 branch.)
2. Do the numbering schemes ALIGN? e.g. is knia-dag `cha-44-1` the same accident as new-knia's chart with a similar number? Compare by TITLE/description text, not just number. Pick at least 6 charts and compare their Korean titles and base ratios side by side.
3. How many 차대차 charts does each have? knia-dag says 108. How many 차대차 charts does new-knia's data/charts.json have? Is 108 a subset, superset, or different partition?
4. What edition/date does each cite? Look for 2023-06-30, 2019, 2015, etc.
5. Are the BASE RATIOS the same for the charts that appear to correspond?
Use jq/python for the JSON. Write scratch files only to /private/tmp/claude-501/-Users-liwimo…
13:31 · askedStudy prior computer-vision work on the exact perception problem the current project has just identified as its top blocker. Read-only; write to /private/tmp/claude-501/-Users-liwimoi-projects-new-knia/089760b2-6416-49ec-8587-3d6c07b2c129/scratchpad/prior-cv.md
PROJECTS TO STUDY (read only, change nothing — several are multi-GB, so be selective: read README/docs/source, never model weights, media, node_modules, or data dumps):
- /Users/liwimoi/projects/cv-processing — README says: "A computer-vision pipeline over dashcam accident footage. Given a clip, it produces a **timeline**: what happened, to which vehicle, in which lane, at what time." Read README.md, src/, demo.html, and the work/ layout. **This is the most important one.**
- /Users/liwimoi/projects/entry-signal-bench — "Can a VLM read the traffic signal a car faced at the moment it entered the intersection — and honestly flag when it can't see it — and how does that compare to [CV]". Read README.md, FINDINGS.md, cv/, eval/, gold/.
- /Users/liwimoi/projects/benchmark — a slide demo showing "자동차 사고 영상 분석 파이프라인의 한계" with only verified results and no embellishment. Read README/CLAUDE.md/AGENTS.md and the slide content.
- /Users/liwimoi/projects/acci-vlm — "VLM + RAG traffic-accident fault-ratio analyzer & benchmark". Read docs/PROJECT.md first (README says to), then analyze.py / decide.py / annotation_schema.json / codebook.json.
CURRENT PROJECT (read, do NOT modify): /Users/liwimoi/projects/new-knia — read knia/ontology/observations.yaml and docs/research-tracking.md. It needs these observation slots, and has measured that the top five blockers of any decision are all one capability — a per-vehicle manoeuvre timeline:
`path_change_event(actor)` with .t_init (개시) / .t_encroach (침범) / .t_complete (완료, **null when…
13:31 · repliedI'll start by exploring all three projects' data files in parallel.
13:31 · repliedI'll start by getting the lay of the land across all five projects.
13:31 · askedREAD-ONLY investigation. Do not modify any file. Project: /Users/liwimoi/projects/assist-demo (a Next.js demo of "AMS — 영상기반 과실조사 어시스턴트", a KB손해보험 auto-accident fault-ratio investigation assistant).
Do NOT read node_modules, .next, *.zip, *.mp4, or media files.
Your job: reconstruct EXACTLY WHAT THE DEMO SHOWED A USER on screen. Read:
- /Users/liwimoi/projects/assist-demo/app/ams/** (all pages/routes)
- /Users/liwimoi/projects/assist-demo/components/ams/** (the case UI, report, customer notice, demo driver)
- /Users/liwimoi/projects/assist-demo/docs/report-spec.md
- /Users/liwimoi/projects/assist-demo/docs/architecture.md
- anything in components/ or app/ that renders a fault ratio, evidence, or a KNIA chart
Report back, in detail with absolute file paths and DIRECT QUOTES of key JSX/copy strings (Korean strings especially):
1. SCREEN FLOW: enumerate every route under /ams (list the actual directory tree of app/ams). For each, one line: what an adjuster sees there.
2. THE OUTPUT SHAPE — this is the most important. For the screen that shows the fault-ratio conclusion:
- What exact fields are rendered? (도표번호, 기본과실, 가감산요소, 최종비율, ...)
- How is the ratio presented visually? (e.g. "우리 70 : 상대 30" big number? a bar? a table?)
- How is EVIDENCE shown next to a claim? (video timestamp link? a quote from a statement? a source badge?) Quote the component code.
- Is there a 소견서 / report output? What sections does it have?
3. UNCERTAINTY / ABSTENTION: Does any screen ever say "we don't know" / 미상 / 확인필요 / 정보부족? Or does it always produce one answer? Look for: how unanswered questions are shown, whether multiple candidate charts are ever ranked/shown, whether a confidence value is displayed, and how "AI 제안" vs "확정" is distinguished. Quote the copy.
4. The 확정 (finali…
13:31 · repliedI'll start by mapping the project structure.