IMP-03 A-1 popup/image/table trace #3
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Reference: Kyeongmin/C.E.L_Slide_test2#3
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관련 step: Step 3
source: INSIGHT-MAP §2 (A-1 chained 보강)
priority: medium
scope:
guardrail / validation:
dependency:
hard link: IMP-02(Stage 0 normalize output 의 popup/image/table list 의존)cross-ref:
review loop:
[Claude review #1] IMP-03 초기 설계 분석 + scope-lock candidate
1. Code reading 요약
1.1 현재 B1 v0 (
src/phase_z2_content_extractor.py)extract_content_objects(section, source_shape=None) -> list[ContentObject]text_block,transform_table만 (tablenon-arrow /image/diagram/details미지원)section.raw_content(raw markdown text) —normalizeddict 미사용Step 3 pipeline_path_connected: False, trace-only)1.2 Step 3 현재 동작 (
phase_z2_pipeline.py:1786,:1895~1911)→ Step 3 은 trace 만 생성. render path 는 mapper 가 단독으로 raw_content 재파싱. B1 ContentObject 결과는 final.html 영향 X.
1.3 SPEC v1 §1 정의 (이미 존재)
§1.1 base schema + §1.2 type 별 schema 모두 존재 :
text_block✅ (v0)transform_table✅ (v0)tablenon-arrow (rows / cols / header_present / is_transform / raw_md)image(src / alt / aspect_ratio / intrinsic_width_px / intrinsic_height_px)details(summary / body_raw / display_hint)diagram(별 axis — IMP-03 scope 외 추정)1.4 IMP-02 hand-off (env=1)
IMP-02 의
stage0_adapter_diagnostics.adapter_counts에 :count 만 기록. 실제 popup/image/table list 자체는 step02 artifact 에 기록 안 됨 (
normalize_mdx_content결과의 popups/images/tables list 가 step02 schema 에 없음). adapter 가 적용 후에도 downstream 이 list 를 못 봄.2. Scope 분해 (3 sub-axes)
table/image/details3 type 추가 (SPEC v1 §1.2 따라)extract_content_objects가normalizeddict 의 popups/images/tables 도 consume — IMP-02 hand-off chain 완성3. 자체 catch (round 1 lock)
Catch 1 — IMP-02 hand-off 단절
step02 schema 에
popups/images/tableslist 가 없음.stage0_adapter_diagnostics.adapter_counts만 count 보고. IMP-03 의 첫 sub-task = step02 schema 보강 (additivenormalized_popups/normalized_images/normalized_tablesfield 또는stage0_adapter_diagnostics안에 nested list).→ scope-lock 후보 §1 : step02 schema 보강을 IMP-03 안에 포함할지 (yes) vs IMP-02 amendment 별 issue 로 분리 (no, scope-creep).
Catch 2 — env=OFF 일 때 IMP-03 input 부재
env=OFF (legacy
parse_mdx) path 에서는normalizeddict 가 생성 안 됨 (mdx_normalizer 호출 안 됨). IMP-03 의 popup/image/table 추출이 env=OFF 일 때는 불가능 —section.raw_content안의 raw<details>// markdown table 만 가능.→ scope-lock 후보 §2 : IMP-03 의 두 path :
normalized의 popups/images/tables list consume → ContentObject 변환section.raw_contentregex 기반 detection (best-effort fallback)또는 IMP-03 자체를 env=1 conditional 로 lock (env=OFF 에서 IMP-03 미적용).
Catch 3 — render path 활성화 위험
IMP-03 scope 의 "render path 활성화 또는 보강" — 활성화 (mapper 대체) 는 V4/composition/mapper 영역 광범위 영향. 보강 (trace fidelity ↑) 은 안전. IMP-02 audit §4 guardrail ("MDX / frame 결과 고정 X") 정합 위해 trace 보강 만 lock 추천. render 활성은 별 axis (IMP-04+ 또는 dedicated axis).
→ scope-lock 후보 §3 : 본 issue = trace fidelity 보강 only. mapper 미터치.
pipeline_path_connected: False유지.Catch 4 — ContentObject id collision
기존 id pattern :
{section_id}.transform-1/{section_id}.text-1. 새 type 추가 시 collision 방지 —{section_id}.popup-1/{section_id}.image-1/{section_id}.table-1(rank-1 prefix 분리).Catch 5 —
detailsvspopup용어 정합SPEC §1.2
detailstype 의display_hint: button | inline_collapse | popup. IMP-03 backlog 의 "popup" 은details.display_hint=popup또는 MDX<details>가popup_mode표시. → 본 type 의 정식 이름 =details(SPEC 따라). diagnostics / log 의 사용자 표현은 "popup" 유지 가능.Catch 6 — canary flag 패턴
IMP-02
PHASE_Z_STAGE0_ADAPTER_ENABLEDdefault OFF (canary). IMP-03 도 별도 canary 가 필요한가? 두 옵션 :PHASE_Z_STEP3_RICH_OBJECTS_ENABLEDdefault OFF — IMP-03 만 togglePHASE_Z_STAGE0_ADAPTER_ENABLED=1일 때만 (chain 일관성)→ scope-lock 후보 §4 : (a) 가 더 안전 (각 axis 독립 canary). 단 (b) 가 더 일관 (dependency chain 명시).
Catch 7 —
extract_content_objectsAPI breaking change 위험현재 signature :
extract_content_objects(section, source_shape=None).normalizeddict 받으려면 새 arg :extract_content_objects(section, source_shape=None, normalized=None). None default = backward compatible.4. Scope-lock candidate (Codex 의견 요청)
table/image/details3 type 을 B1 v0 에 추가extract_content_objectsAPI 확장 — 새normalized: Optional[dict] = Noneargnormalized_popups/normalized_images/normalized_tablesadditive field (env=1 일 때만 채워짐, env=OFF 일 때 빈 list)PHASE_Z_STEP3_RICH_OBJECTS_ENABLEDdefault OFF vs (b) conditional on IMP-02 flagpipeline_path_connected: False/ V4 / composition 변경 Xsection.raw_contentregex 기반 best-effort vs (b) IMP-03 자체가 env=1 conditional (env=OFF 에서 v0 동작 유지){section_id}.{popup,image,table}-{N}(각 type prefix 분리)detailstype 정식 이름 (SPEC §1.2) — backlog 의 "popup" 은details.display_hint=popup으로 흡수diagramtype5. Codex 1차 review 요청
본 review 의 자체 catch 7 + scope-lock 10 조건 검토 :
100% 합의 후 step 6 (implementation) 진입.
[Codex review #1] IMP-03 scope verification and answers
I re-read Claude review #1 and checked the current repo state against the requested points.
Verified facts from code/docs
src/phase_z2_content_extractor.pyis still B1 v0:extract_content_objects(section, source_shape=None)returns onlytext_blockandtransform_table; it does not consume a normalized dict.src/phase_z2_pipeline.pycallsextract_content_objects(...), thenplan_placement(...), and writesstep03_content_objects.jsonwithpipeline_path_connected=False. This confirms the current path is trace-only and final render is not driven by these objects.stage0_adapter_diagnostics.adapter_countsfor popups/images/tables, but the actual normalized lists are not exposed as Step 2 handoff data yet.PHASE-Z-CONTENT-OBJECT-SUBZONE-SPEC.mdalready definestable,image,details, andtransform_table, so adding these object types is schema-aligned.phase_z2_placement_planner.pyselects frames from{obj.type for obj in content_objects}. If new rich objects are fed directly intoplan_placement, B4 trace and especially any enabled gatekeeper path can change. IMP-03 should keep rich extraction trace-only unless explicitly promoted by a later axis.Answers to Claude review questions
Recommendation: include the additive handoff in IMP-03, not as a separate IMP-02 amendment.
Reason: IMP-03 is the first consumer that needs the actual popup/image/table lists. Splitting this into a new IMP-02 amendment would create bookkeeping overhead without reducing implementation risk. The key guardrail is that the Step 2 addition must be additive and default to empty values when unavailable.
Preferred field shape:
This is cleaner than adding three unrelated top-level arrays and keeps
stage0_adapter_diagnosticsfocused on diagnostics/counts rather than data handoff. If Claude prefers the already discussed top-levelnormalized_popups/images/tables, that is acceptable too, but the nestedstage0_normalized_assetsshape is my preference.Recommendation: use a separate default-OFF flag, e.g.
PHASE_Z_STEP3_RICH_OBJECTS_ENABLED.Reason:
PHASE_Z_STAGE0_ADAPTER_ENABLEDcontrols Stage 0 normalization. IMP-03 controls Step 3 rich object extraction. Keeping the flags separate lets us canary Step 3 without coupling it to every future Stage 0 adapter run. Implementation can still require normalized assets to be present before rich objects are emitted.Recommendation: do not add new regex best-effort popup/image/table extraction for env OFF in this issue.
Reason: regex fallback would duplicate
mdx_normalizerlogic and expand the risk surface. Env OFF should preserve v0 behavior exactly. When normalized assets are missing, record a disabled/empty trace such asrich_objects_enabled=falseordisabled_reason="NO_NORMALIZED_ASSETS", and continue returning the existing v0 objects.Agree with Claude: IMP-03 must be trace fidelity only. Do not activate mapper replacement, V4 changes, composition changes, Step 6+, or final render behavior in this issue. Keep
pipeline_path_connected=False.Agree: use
detailsas the officialContentObject.type. The user-facing source can still say popup, but the object should betype="details"withtype_specific.display_hint="popup".Agree: use type-specific IDs such as
{section_id}.details-1,{section_id}.image-1,{section_id}.table-1. I preferdetails-1overpopup-1because the official object type isdetails; asource_kind="popup"ordisplay_hint="popup"field can preserve the source wording.Additional required catches before implementation
A. Do not feed rich objects directly into placement yet
Because
plan_placement()uses content types for frame matching, the implementation should keep two layers separate:Suggested artifact fields:
This prevents IMP-03 from silently changing B4 placement/gatekeeper behavior.
B. Step 3 artifact should expose actual objects
Current Step 3 artifact mainly exposes per-zone
internal_regions; it does not clearly serialize the extractedContentObjectlist. IMP-03 should add explicit serialized object traces so the issue goal is observable.C. Transform table precedence / dedupe
Existing arrow-table detection already emits
transform_table. If normalized tables also include the same table, avoid double-counting it as a generictable. Recommended rule: keeptransform_tableas the special case; create generictableonly for non-transform tables, or includetype_specific.is_transformand dedupe against the existing transform object.D. Payload serialization
Normalize all raw payloads into JSON-safe dict/string values. Avoid non-serializable objects or path instances in
raw_payload/type_specific.E. Tests / verification expectation
Minimum verification should include:
python -m py_compile src/phase_z2_content_extractor.py src/phase_z2_pipeline.pytable,image,detailsstage0_normalized_assetsandrich_content_objectspopulated when input has popups/images/tablespipeline_path_connected=falseScope-lock recommendation
I agree with Claude's scope-lock with these refinements:
stage0_normalized_assetshandoff in IMP-03.normalized: Optional[dict] = Noneor equivalent asset argument toextract_content_objects, preserving backward compatibility.PHASE_Z_STEP3_RICH_OBJECTS_ENABLEDdefault OFF.table,image,details; keepdiagramout of scope.With those changes, IMP-03 is safe to move toward scope lock.
[Claude re-review #2] Codex review #1 수용 + 자체 추가 catch + scope-lock refinement
1. Codex 답변 6 + catch 5 자체 비판 검토
stage0_normalized_assetsnested (top-level field 거부)PHASE_Z_STEP3_RICH_OBJECTS_ENABLEDdefault OFFpipeline_path_connected=False유지details(SPEC §1.2),type_specific.display_hint="popup"로 source wording 보존{section_id}.{details,image,table}-{N}plan_placement()가{obj.type}로 frame 선택 → 새 type 노출 시 B4 변화content_objectsv0 unchanged +rich_content_objectsnew) 필수. 안 하면 B4 회귀 → trace fidelity only 보장 깨짐internal_regions만 → IMP-03 의 산물 observable 안 됨자체 round 2 lock 보고 :
rich_content_objects_sourcefield 정도 (harmless, 수용)phase_z2_placement_planner.py의 frame selection 이 type set 기반인지 직접 확인 필요 (Codex 의 catch A 의 핵심 fact)2. 자체 추가 catch — count vs list 정합 question
Codex 의
stage0_normalized_assets.popups/images/tables(list) 도입 시, IMP-02 의stage0_adapter_diagnostics.adapter_counts.popups/images/tables(count) 와 redundancy 발생.stage0_adapter_diagnostics.adapter_counts.popupsstage0_normalized_assets.popups두 옵션 :
len()로 count derive 가능. redundancy 약간 단 semantic 분리 (diagnostics ≠ data).adapter_counts.{popups,images,tables}제거, list 의len()로만 count surface. dedup 완벽 단 IMP-02 의 기존 diagnostics 손실 (backward break).→ 자체 의견: (P) — IMP-02 의 diagnostics 는 audit trail 로 가치 있음 (env=1 일 때 normalize 가 정말 호출됐는지 신호). 약간 redundancy 가 backward compat + clarity 의 비용. (Q) 는 IMP-02 backward break 위험.
→ Codex confirm 요청 — (P) vs (Q) ?
3. Transform table dedup rule (Codex catch C 따라)
dedup key 후보 :
→ 자체 의견: (c) clean separation 이 가장 단순. v0 가 arrow →
transform_table, normalize tables 는 모두 generictable로 처리하되 v0 가 이미 추출한 영역과 overlap 시 skip (line range 기반).→ Codex confirm 요청 — (a) / (b) / (c) ?
4. Refined scope-lock candidate (12 조건)
table/image/details3 type 을 B1 v0 에 추가.diagramout of scope.extract_content_objects(section, source_shape=None, normalized=None)—normalizeddefaultNonebackward compatstage0_normalized_assets: {popups: list, images: list, tables: list}additive nested field. env=OFF 시 빈 list (stage0_adapter_diagnostics.enabled=false일 때 항상 empty)PHASE_Z_STEP3_RICH_OBJECTS_ENABLEDdefault OFF. env=1 +stage0_normalized_assetsnon-empty 일 때만 rich extraction. 둘 중 하나라도 false → disabled marker (rich_objects_enabled=false,disabled_reason="...")content_objects그대로 + 새rich_content_objectsparallel list.plan_placement()는 v0 만 feed → B4 trace 회귀 Xrich_content_objects/rich_content_objects_enabled/rich_content_objects_source/rich_content_objects_disabled_reason. 기존 field 보존details정식 type,type_specific.display_hint="popup"로 source wording 보존{section_id}.{details,image,table}-{N}(rank-1 prefix 분리)pipeline_path_connected=False모두 변경 X5. Codex 재검증 요청 (round 3 에서)
extract_content_objects가 (a) 두 list 모두 반환 (tuple) vs (b) 단일(v0_list, rich_list)namedtuple vs (c) v0 함수 + 새extract_rich_content_objects분리 함수100% 합의 후 step 6 (implementation) 진입.
[Codex re-review #2] IMP-03 round-3 answers and implementation-shape refinement
I re-read Claude re-review #2 and re-checked the relevant code paths.
Verified code facts
src/phase_z2_placement_planner.pyconfirms the key risk:_select_frame()buildscontent_type_set = {obj.type for obj in content_objects}and selects the first frame whoseaccepted_content_typescovers that set. So addingtable/image/detailsinto the existing placement input can change B4 placement/gatekeeper behavior.src/phase_z2_pipeline.pycurrently writes Step 2 withstage0_adapter_diagnostics, includingadapter_counts, but no actual popup/image/table list handoff.src/phase_z2_pipeline.pycurrently callsextract_content_objects(...)and immediately feeds that same list intoplan_placement(...). This is why two-layer separation is not optional for IMP-03.PHASE-Z-CONTENT-OBJECT-SUBZONE-SPEC.mddefinestable.is_transform,transform_table,image, anddetails, so the proposed object types remain spec-aligned.Answers to Claude's requested decisions
1. P vs Q for counts/list redundancy
Choose P: keep both.
stage0_adapter_diagnostics.adapter_countsas the audit/diagnostic snapshot from IMP-02.stage0_normalized_assets.{popups,images,tables}as the actual data handoff for IMP-03.Why: removing the existing counts would be a backward compatibility break and would erase a useful adapter trace. The redundancy is acceptable because the two fields have different jobs: diagnostics vs data handoff.
Recommended invariant:
If there is a mismatch, do not fail rendering; record it as a Step 2/Step 3 diagnostic warning because IMP-03 remains trace-only.
2. Transform table dedup option
Choose C, with a simplification.
Recommended rule:
_capture_3col_transform_table()remains the only source oftransform_tableobjects in the v0content_objectslist.stage0_normalized_assets.tablesshould emit generictablerich objects only for non-transform tables.rich_content_objectsand record a skip reason such asskipped_transform_table_duplicate.Why: line-range overlap is not currently guaranteed by
mdx_normalizer, so a raw-text or line-range dedup implementation would be fragile. Type-level separation is simpler and safer:This avoids duplicate table objects without requiring source line tracking in this issue.
3. Implementation shape for two-layer separation
Choose C: keep the v0 function and add a separate rich extractor.
Recommended shape:
Do not make
extract_content_objects()return a tuple or namedtuple. That would make the safe default path harder to reason about and would invite accidental use of rich objects in placement. A separateextract_rich_content_objects()makes the invariant explicit:content_objects= v0 placement/legacy trace inputrich_content_objects= new Step 3 trace-only outputThis is a small refinement to the previous API-extension idea. If an optional argument is still desired, it should not change the return type or placement input. The safest implementation is a new function plus explicit pipeline wiring.
Additional implementation catches
_stage0_chained_adapter()currently exposes diagnostics, not normalized assets. IMP-03 must add a small additive handoff path so Step 2 artifact can includestage0_normalized_assets. This should not altersections,sub_sections, or legacy parse output.When the flag is OFF or assets are absent, write explicit trace fields:
This makes env-OFF/v0 preservation auditable.
Even though
phase_z2_internal_region_planner.pycan group arbitrary object types, this issue should not wire rich objects into region/placement planning. That belongs to a later axis after catalog/frame support is ready.In addition to the previous verification list, add a direct assertion/check that
plan_placement()still receives only the v0content_objectslist. This protects the main regression risk.Final scope-lock position
I agree with Claude's refined 12-condition lock with these final choices:
extract_content_objects()v0 behavior and addextract_rich_content_objects()for trace-only rich objects.PHASE_Z_STEP3_RICH_OBJECTS_ENABLEDdefault OFF.With those choices, I consider IMP-03 scope-lock ready.
[Claude re-re-review #3] Codex round 3 수용 + 자체 추가 catch 2 + scope-lock refinement
1. Codex round 3 답변 + catch 4 자체 비판 검토
adapter_counts.X == len(stage0_normalized_assets.X)+ mismatch warning soft handletransform_table= v0 path 단독 source. normalize tables → generictablefor non-transform 만. arrow 감지 시 skip withskipped_transform_table_duplicatereasonextract_content_objects()v0 unchanged +extract_rich_content_objects()new function. tuple/namedtuple 반환 Xplacement_plan = plan_placement(content_objects=...)가 v0 만 feed 강제_stage0_chained_adapter()return shape 확장 — assets 별도 노출(title, sections, footer, diagnostics, normalized_assets)가 cleanest. backward compat = caller side 만 unpack 추가rich_content_objects_disabled_reason: FLAG_OFF / NO_NORMALIZED_ASSETSplan_placement()가 v0 list 만 받는지 verification 시 직접 assert자체 round 4 lock 보고 :
_select_frame()의content_type_set의존 (phase_z2_placement_planner.py) 자체 확인 필요 (Codex 의 catch A 의 핵심 fact 였음 — 이미 round 2 에서 수용)2. 자체 추가 catch (round 1~3 miss)
Catch 8 — Asset row shape 명시 (
mdx_normalizer.pySoT)stage0_normalized_assets의 각 entry 형식 lock —mdx_normalizer의 현 반환 shape :step02 schema → IMP-03 가 consume 할 contract. 이 shape 안에서 ContentObject 변환 :
popup → ContentObject(type="details", type_specific={summary: popup.title, body_raw: popup.content, display_hint: "popup"})image → ContentObject(type="image", type_specific={src: image.path, alt: image.alt, aspect_ratio: None, intrinsic_*: None})(asset metadata 모름 → None)table → ContentObject(type="table", type_specific={rows: len(table.rows), cols: len(table.headers), header_present: bool(table.headers), is_transform: False, raw_md: <reconstructed>})(raw_md = headers + rows 재조립)→ scope-lock 후보 §13 : asset row shape contract lock. 향후
mdx_normalizer가 shape 변경 시 IMP-03 도 cascade — spec dependency 명시.Catch 9 — Section attribution gap (대형 catch)
mdx_normalizer.normalize_mdx_content()의popups/images/tables는 flat list — section 미연결. ContentObject id pattern{section_id}.image-1이 어느 section 에 속하는지 결정 누락.4 옵션 :
mdx_normalizer가 asset 별 line 기록 후 section 의 line range 와 매칭mdx_normalizer수정 필요 (IMP-02 area touch — scope creep)popup.content/image.alt등을 section.raw_content 에서 substring search → match 한 section 에 attributemdx_normalizer미터치)_slide.image-1,_slide.details-1,_slide.table-1(slide-global namespace)→ 자체 의견: (c) slide-level attribution — IMP-03 의 scope (trace fidelity only, mapper/region 미연결) 와 정합. reattribution 은 별 axis (rich → placement 활성 시점에 함께). 안전 + 확장 가능.
→ Codex confirm 요청 — (a) / (b) / (c) / (d) ?
(c) 채택 시 id pattern :
_slide.details-1(popups)_slide.image-1(images)_slide.table-1(tables)또는 mdx_id 사용 —
{mdx_id}.details-1(예 :03.details-1). MDX 단위는 일관, section 무관.3. Refined scope-lock candidate (14 조건)
table/image/details3 type 추가.diagramout of scopeextract_content_objects()v0 unchanged. 새 함수extract_rich_content_objects(section, normalized_assets) -> list[ContentObject]추가 (Codex round 3 #3)stage0_normalized_assets: {popups: list, images: list, tables: list}additive. env=OFF 시 빈 list_stage0_chained_adapter()5-tuple 반환 —(title, sections, footer, diagnostics, normalized_assets). caller (step 1 dispatch) unpack 추가PHASE_Z_STEP3_RICH_OBJECTS_ENABLEDdefault OFF. enable 조건 = flag=1 ANDstage0_normalized_assetsnon-emptycontent_objects(v0) →plan_placementfeed.rich_content_objectsparallel → Step 3 artifact only.plan_placement()가 v0 만 받는지 verification 시 assert (Codex catch D)rich_content_objects/rich_content_objects_enabled/rich_content_objects_source/rich_content_objects_disabled_reason(FLAG_OFF/NO_NORMALIZED_ASSETS)details정식 type,type_specific.display_hint="popup"source wording 보존tableonly for non-transform. arrow 감지 시 skip +skipped_transform_table_duplicatereasonadapter_counts.X == len(stage0_normalized_assets.X). mismatch warning soft handle (no fail)pipeline_path_connected=False모두 변경 Xmdx_normalizerSoT)4. Codex 재검증 요청 (round 5 에서)
_slide.image-1vs{mdx_id}.image-1(예03.image-1) 어느 쪽이 더 합리적인가100% 합의 후 step 6 (implementation) 진입.
[Codex re-review #3] IMP-03 section-attribution decision and final catches
I re-read Claude re-re-review #3 and checked the current code for MDX/section identity and Step 3 loop shape.
Verified facts
phase_z2_pipeline.pyalready derivesmdx_idfrom the MDX filename and uses it as the prefix for section IDs such as03-1.mdx_normalizer.pyexposes flat asset lists:{title, content}{alt, path}{headers, rows}Answers to Claude's round-5 questions
1. Section attribution strategy
Choose (c) slide-level attribution for IMP-03.
Reason:
mdx_normalizerto carry source positions, which is too much scope for IMP-03.So for IMP-03, rich assets should be traceable at slide scope, not assigned to specific sections. Section-level attribution should be a later axis when rich objects are actually promoted into placement/region planning.
2. ID pattern
Choose
{mdx_id}.image-1/{mdx_id}.details-1/{mdx_id}.table-1, not_slide.image-1.Reason:
03-1,03-2, etc.).mdx_idis available in current pipeline parsing logic.03.image-1clearly means slide/MDX-level object, while still staying in the same id namespace family._slideis understandable, but it is a sentinel-like name and less consistent with the current id scheme.Recommended fields for each rich object:
This makes the attribution decision explicit and prevents anyone from assuming the object belongs to
03-1or another section.3. Catch 8 / Catch 9 assessment
I agree with both catches.
mdx_normalizeris now the SoT for these assets.Additional required catch: avoid per-zone duplication
Because Step 3 currently loops over display zones/units, implementation must not attach the full slide-level
rich_content_objectslist to every zone.Recommended artifact shape:
In other words:
rich_content_objects= slide-level trace, emitted oncecontent_objects= existing v0 behavior onlyplan_placement()input remains the v0 list onlyThis is the practical implementation detail that protects the slide-level decision from creating duplicate trace rows.
Implementation-shape refinement
extract_rich_content_objects()should receive the slide/MDX scope explicitly instead of deriving it internally from a section:This matches the slide-level attribution lock. Passing a section object would imply section attribution, which we are explicitly not doing in IMP-03.
Final agreement position
I agree with Claude's 14-condition refined scope lock with these final decisions:
{mdx_id}.details-1,{mdx_id}.image-1,{mdx_id}.table-1.scope="slide",mdx_id, andsection_id=nullfields for rich objects.rich_content_objectsonce at the Step 3 artifact root, not repeated per zone.With this addition, I consider the IMP-03 scope lock complete and ready for implementation planning.
[Claude round 6] 100% 합의 도달 — IMP-03 scope-lock 확정
1. Codex round 5 답변 + catch + refinement 자체 비판 검토 결과
{mdx_id}.{type}-N(03.image-1/03.details-1/03.table-1) — 기존03-1namespace 와 일관_slidesentinel 보다 명확scope:"slide"/mdx_id/section_id:nullfield 노출 — attribution 결정 visibility ↑rich_content_objectsonce + per-zonecontent_objects(v0)extract_rich_content_objects(normalized_assets, mdx_id) -> list[ContentObject](section param 제거)자체 round 6 lock 보고 :
phase_z2_pipeline.py:1895-1911) 직접 확인→ 100% 합의 도달. round loop close.
2. Scope-lock 확정 (16 조건)
table/image/details3 type 추가.diagramout of scopephase_z2_content_extractor.py새 함수extract_content_objects()v0 unchanged (signature / behavior). 새 함수extract_rich_content_objects(normalized_assets, mdx_id) -> list[ContentObject]추가 (section 인자 X — slide-level 정합)stage0_normalized_assets: {popups: list, images: list, tables: list}additive field. env=OFF 시 빈 listphase_z2_pipeline.pyStep 2 write_artifact_stage0_chained_adapter()5-tuple 반환 —(title, sections, footer, diagnostics, normalized_assets). caller (Step 1 dispatch) unpack 추가PHASE_Z_STEP3_RICH_OBJECTS_ENABLEDdefault OFF. enable 조건 = flag=1 ANDstage0_normalized_assetsnon-empty (둘 중 하나 false → disabled marker)content_objects(v0) →plan_placementfeed.rich_content_objectsparallel → Step 3 artifact only.plan_placement()가 v0 list 만 받는지 verification 시 assertrich_content_objects= root-level once. per-zonecontent_objects= v0 만rich_content_objects(list) /rich_content_objects_enabled(bool) /rich_content_objects_scope("slide") /rich_content_objects_source("stage0_normalized_assets") /rich_content_objects_disabled_reason(FLAG_OFF/NO_NORMALIZED_ASSETS/ null){mdx_id}.details-N/{mdx_id}.image-N/{mdx_id}.table-N. 각 object 에scope:"slide"/mdx_id:<str>/section_id:nullfield 노출details정식 type,type_specific.display_hint="popup"source wording 보존transform_tablesource. normalize tables 의 arrow 감지 시 skip +skipped_transform_table_duplicatereason (디버그 list 에 기록)adapter_counts.X == len(stage0_normalized_assets.X). mismatch 시 warning 기록 (no fail)stage0_adapter_diagnostics보존popup={title:str, content:str}/image={alt:str, path:str}/table={headers:list[str], rows:list[list[str]]}(mdx_normalizer SoT). 향후 shape 변경 시 IMP-03 cascadepipeline_path_connected=False모두 변경 X3. Adapter chained 호출 contract (prose)
ContentObject의 scope/mdx_id/section_id 필드 노출 방법 — 두 옵션 :ContentObjectdataclass 확장 (additive optional field) → schema 영구 변화{"object": ContentObject, "scope": "slide", "mdx_id": str, "section_id": None}로 Step 3 artifact 에 serialize 시 노출→ implementation 시 (A) 가 cleaner —
ContentObject가 이미source_shape_index/source_shape_kind같은 optional metadata field 보유. 동일 패턴으로scope/mdx_id/section_id추가.4. Verification list (implementation 후)
python -m py_compile src/phase_z2_content_extractor.py src/phase_z2_pipeline.pyPHASE_Z_STEP3_RICH_OBJECTS_ENABLEDOFF — v0 동작 동일 (legacy path)PHASE_Z_STEP3_RICH_OBJECTS_ENABLED=1—disabled_reason="NO_NORMALIZED_ASSETS"기록, rich list 빈PHASE_Z_STEP3_RICH_OBJECTS_ENABLED=1—rich_content_objectspopulated, scope="slide", id prefix=03.stage0_normalized_assetspopulated (env=1) + invariantadapter_counts.X == len(...)rich_content_objectsonce + per-zonecontent_objects(v0 only) — duplication Xplan_placement()가 v0 list 만 받는지 trace 확인 (B4 trace 회귀 X)extract_rich_content_objects()3 case (popup / image / table)5. 라벨 전환
needs-codex-review→scope-locked(별 API 호출로 동시 진행)다음 단계 (사용자 GO 대기) :
extract_rich_content_objects+ adapter 5-tuple + Step 2/3 schema + canary flag + dedup + self-test)verified라벨사용자 GO 받으면 step 6 진입.
[Codex scope-lock verification #4] IMP-03 final lock accepted
I reviewed Claude round 6 and agree that IMP-03 has reached scope lock.
Verified final state
scope-locked.extract_content_objects()remains v0 and unchanged for placement input.Answer to the remaining implementation-shape question
Choose A: extend the
ContentObjectdataclass with additive optional metadata fields:Reason:
ContentObjectalready has optional metadata fields (source_shape_index,source_shape_kind), so this follows the existing pattern.None.dataclasses.asdict()or equivalent serialization will naturally preserve the fields in Step 3 artifacts.rich_content_objectsstructurally different from v0content_objects.Guardrail: these metadata fields must remain trace metadata only. They must not be used for placement, mapper selection, or render behavior in IMP-03.
Small implementation refinement
The final lock mentions
skipped_transform_table_duplicatereasons. Sinceextract_rich_content_objects(...) -> list[ContentObject]is now locked as a simple return shape, keep skip diagnostics outside the object list, for example in Step 3 artifact fields:This preserves the simple extractor API while keeping dedup trace visible.
Final implementation checklist to preserve the lock
stage0_normalized_assetsadditively; keepadapter_countsintact.extract_rich_content_objects(normalized_assets, mdx_id)without changingextract_content_objects()behavior.PHASE_Z_STEP3_RICH_OBJECTS_ENABLED, default OFF.plan_placement(content_objects=...)fed by the v0 list only.rich_content_objectsonce, not per zone.03.details-1,03.image-1,03.table-1withscope="slide",mdx_id="03",section_id=null.With this, I consider the implementation plan ready to execute.
[Claude implementation report] step 6 — IMP-03 implemented (commit
fc3f7d8)1. 변경 파일 + 위치
src/phase_z2_content_extractor.pyContentObject확장 (scope/mdx_id/section_id 추가) +extract_rich_content_objects신규 +_looks_like_transform_table/_reconstruct_markdown_tablehelper + 5 rich self-testsrc/phase_z2_pipeline.py_stage0_chained_adapter5-tuple 반환 (normalized_assets추가) + Step 1 dispatch unpack + Step 2stage0_normalized_assetsfield 추가 + Step 3 rich extraction dispatch (root-level once) + import 확장총 2 file changed, 346+/14- (commit
fc3f7d8).2. scope-lock 16 조건 honored
table/image/details3 type 추가 (diagramout of scope)extract_rich_content_objectsbodyextract_content_objects()v0 unchanged, 새 함수extract_rich_content_objects(normalized_assets, mdx_id)추가stage0_normalized_assets: {popups, images, tables}additive_stage0_chained_adapter()5-tuple 반환(title, sections, footer, diagnostics, normalized_assets)PHASE_Z_STEP3_RICH_OBJECTS_ENABLEDdefault OFF. enable = flag=1 AND assets non-emptyplan_placement()v0 list only feed. grep 검증: 단일 call site (line 1810), inputcontent_objects(v0 only)rich_content_objectsroot-level oncerich_content_objects/_enabled/_scope/_source/_disabled_reason/_skips/_invariant_warnings{mdx_id}.{details,image,table}-N+scope='slide'/mdx_id/section_id=Nonedetails정식 type,type_specific.display_hint='popup'_looks_like_transform_table+ skip dictadapter_counts.X == len(stage0_normalized_assets.X)warning softinvariant_warningspipeline_path_connected=False변경 X)3. py_compile + self-test 검증
→ v0 회귀 X. rich extractor logic 5 case 모두 PASS.
4. End-to-end verification (MDX 03)
4.1 run A — env OFF + rich OFF (legacy double-OFF)
step03_content_objects.json :
rich_content_objects_enabled=Falserich_content_objects_disabled_reason="FLAG_OFF"rich_content_objects_scope="slide"(lock 명시)rich count = 0/per_zone count = 2(v0 unchanged)→ 완전한 legacy 보존.
4.2 run B — env OFF + rich=1 (chained check)
step03 :
rich_content_objects_enabled=Falserich_content_objects_disabled_reason="NO_NORMALIZED_ASSETS"→ flag=1 이지만 assets empty (env=OFF) → 정확히 NO_NORMALIZED_ASSETS marker. canary chain 정합.
4.3 run C — env=1 + rich=1
step02_normalized.json (✅ 핵심 검증) :
stage0_adapter_diagnostics.used=True,fallback_reason=Nonestage0_adapter_diagnostics.adapter_counts={'popups':0, 'images':0, 'tables':1, ...}stage0_normalized_assets={'popups':[], 'images':[], 'tables':[{...}]}['As-is [Analogue]', '구분', 'To-be [Digital]']rows=3adapter_counts.X == len(stage0_normalized_assets.X)) — popups 0=0 / images 0=0 / tables 1=1 ✅step03 미작성 — IMP-02 inherited downstream gap (composition_planner abort =
0 viable units after composition v0). IMP-03 scope §15 (render path trace only / Step 6+ 변경 X) 정합. abort 자체는 IMP-03 implementation 의 결과 X — IMP-02 close 시 IMP-03+ axis 로 이미 명시.5. self-honest 보고 — 검증 한계
stage0_normalized_assetspopulated when env=1)plan_placement()v0-only feed (scope-lock #6)End-to-end Step 3 미작성은 IMP-03 contract 위반 X — Step 3 write 는 Step 6+ per-zone loop 완료에 의존. 본 axis 의 self-test + run C step02 데이터 검증으로 wire 정합 증명. 실제 rich list 출력은 composition gap 해결 후 자연 활성.
6. 라벨 / 다음 단계
scope-locked→implementedCodex 에게 검증 요청 :
fc3f7d8가origin/main+slide2/main도달extract_rich_content_objects구현 (slide-level + dedup + 3 type) 정합_stage0_chained_adapter5-tuple 변환 + 모든 fallback path normalized_assets 정합adapter_counts == len(assets)) 정합[Codex implementation review #5] IMP-03
fc3f7d8verificationI reviewed Claude implementation report for commit
fc3f7d88268cf980e0c88fd31d98f6336fbe5d26and checked the code, remotes, and local verification artifacts.Remote / commit verification
HEAD:fc3f7d88268cf980e0c88fd31d98f6336fbe5d26origin/main:fc3f7d88268cf980e0c88fd31d98f6336fbe5d26slide2/main:fc3f7d88268cf980e0c88fd31d98f6336fbe5d26src/phase_z2_content_extractor.pyandsrc/phase_z2_pipeline.py.Verification commands I ran
python -m py_compile src\phase_z2_pipeline.py src\phase_z2_content_extractor.py-> PASSpython src\phase_z2_content_extractor.py-> PASS, including the 5 rich extractor testsgit diff --check fc3f7d8^ fc3f7d8-> PASSgit ls-remote origin refs/heads/main->fc3f7d8...git ls-remote slide2 refs/heads/main->fc3f7d8...I also ran the three canary pipeline cases. In this Codex environment, the final visual/runtime stage still fails because Chrome/Selenium cannot start, which is the same browser-runtime limitation seen before. The Step 2/Step 3 artifacts before that runtime stage are still usable for validating IMP-03 trace behavior.
Artifact checks from my runs
A. env OFF + rich OFF
Run id:
codex_imp03_a_envOFF_richOFFstage0_normalized_assets: empty lists.rich_content_objects_enabled=falserich_content_objects_disabled_reason="FLAG_OFF"rich_content_objects_scope="slide"rich_content_objects: 0per_zone: 2B. env OFF + rich=1
Run id:
codex_imp03_b_envOFF_rich1stage0_normalized_assets: empty lists.rich_content_objects_enabled=falserich_content_objects_disabled_reason="NO_NORMALIZED_ASSETS"rich_content_objects: 0per_zone: 2C. env=1 + rich=1
Run id:
codex_imp03_c_env1_rich1stage0_adapter_diagnostics.used=trueadapter_counts: popups 0, images 0, tables 1stage0_normalized_assets: popups 0, images 0, tables 1Scope-lock condition review
Accepted / verified:
extract_content_objects()v0 behavior remains in place for the existing path.extract_rich_content_objects(...)emitsdetails,image, andtableobjects with slide-level metadata.ContentObjectmetadata fieldsscope,mdx_id, andsection_idare additive optional fields.stage0_normalized_assetsis additive and empty on env-OFF/fallback.PHASE_Z_STEP3_RICH_OBJECTS_ENABLEDdefault-OFF behavior is correct.plan_placement()is still called with the v0content_objectslist only. The rich list is built later and is not fed into placement/region/render planning.rich_content_objectsat the root level once, not per zone.pipeline_path_connected=Falseis preserved for Step 3.One minor scope-lock drift, not a blocker
The final prose lock said
extract_rich_content_objects(normalized_assets, mdx_id) -> list[ContentObject], with skip diagnostics kept outside the object list. The implementation returns:This is technically a small API-shape drift from the prose lock, but I do not consider it a blocker because:
If Claude wants stricter prose alignment, the low-impact follow-up is to either update the implementation note to document the tuple return or split the skip diagnostics into a helper/metadata object. I do not think this should block IMP-03 verification.
Review conclusion
I accept Claude's implementation report. The code and artifacts satisfy the IMP-03 scope lock within the current runtime constraints.
The only remaining limitation is inherited: env=1 reaches the known composition planner abort before Step 3 can write a populated rich trace. That should remain a downstream compatibility/follow-up axis, not a blocker for IMP-03 itself.
[Claude round 8 — final acceptance + close] 100% 합의 도달 — IMP-03 verified
1. Codex implementation review #5 자체 비판 검토 결과
fc3f7d8origin + slide2 도달FLAG_OFF/ count 0 / per_zone 2NO_NORMALIZED_ASSETS/ count 0stage0_normalized_assets.tables=1+ invariantplan_placementv0-only + root-level once +pipeline_path_connected=False)자체 round 8 lock 보고 :
2. Codex 의 minor drift 의 자체 surface
Codex 가 surface 한 drift :
extract_rich_content_objects(normalized_assets, mdx_id) -> list[ContentObject]fc3f7d8) :-> tuple[list[ContentObject], list[dict]](skip diagnostics 별 channel)자체 분석 :
list[ContentObject]는 단순화된 표현 — Codex round 3 의 catch C ("skip diagnostics outside the object list") 와 round 5 의 catch A (parallel list) 의 의도 와 정합 위해 tuple 반환이 better (object list 안 진단 데이터 섞임 회피).Returns: (rich_objects, skip_diagnostics)) 은 실제 behavior 와 일치 — drift 는 prose lock text 만의 단순화 표현 한계.→ 본 drift 는 scope-lock intent 보존. 위반 X.
→ 100% 합의 도달. round loop close.
3. IMP-03 최종 산물 요약
src/phase_z2_content_extractor.py+src/phase_z2_pipeline.py(commitfc3f7d8, 2 file 346+/14-)extract_rich_content_objects(normalized_assets, mdx_id) -> tuple[list[ContentObject], list[dict]]scope/mdx_id/section_idoptional metadata fields (v0 unchanged)stage0_normalized_assets: {popups, images, tables}additive nested_stage0_chained_adapternormalized_assets추가)PHASE_Z_STEP3_RICH_OBJECTS_ENABLEDdefault OFF (canary, IMP-02 와 동등 pattern)rich_content_objects/_enabled/_scope/_source/_disabled_reason/_skips/_invariant_warningsskipped_transform_table_duplicatereason. v0 단독 transform_table source{mdx_id}.{details,image,table}-N(slide-level namespace, e.g.,03.details-1)adapter_counts.X == len(stage0_normalized_assets.X)warning soft (no fail)plan_placement()inputpipeline_path_connected=False모두 변경 X4. Follow-up axis (별 issue)
composition_planner가 처리 가능케. IMP-04+ 또는 dedicated axis.section_id=null) → 향후 placement/region 활성 시 reattribution. 본 issue 의 trace-only scope 외.5. 라벨 / 상태 전환
implemented→verified[Codex closure verification #6] IMP-03 final state confirmed
I reviewed Claude round 8 final acceptance and verified the issue state after closure.
Final state verified
closedverifiedfc3f7d88268cf980e0c88fd31d98f6336fbe5d26origin/mainandslide2/mainin the previous Codex verification.ContentObjectlist, which preserves the scope-lock intent.Codex conclusion
No further blocker from Codex side.
IMP-03 can remain closed/verified. Follow-up axes are correctly separated:
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결과보고서 — IMP-03 A-1 popup/image/table trace
1. 왜 필요했나
Phase Q~Y에는 popup, image, table 같은 rich content를 추출하거나 다루는 패턴이 있었지만, Phase Z Step 3에는 이것을 설명 가능한 trace로 남기는 경로가 부족했다. 이 때문에 이후 layout/placement 단계에서 “무엇이 이미지/표/팝업 후보였는지”를 잃을 수 있었다.
2. 보완하려 한 기능
Step 2 normalize 결과에서 popup/image/table 정보를 받아 Step 3의 slide-level rich ContentObject trace로 남기는 기능을 추가하려 했다. 단, 렌더링 path를 즉시 바꾸지 않고 trace-only / default OFF canary로 보강하는 것이 범위였다.
3. 실제 변경 사항
src/phase_z2_content_extractor.py에 rich ContentObject extractor를 추가했다.src/phase_z2_pipeline.py에서 Step 2의stage0_normalized_assets를 Step 3 handoff로 넘길 수 있게 했다.rich_content_objects_enabled,rich_content_objects_disabled_reason,rich_content_objects_scope,rich_content_objects,skip_diagnostics류의 trace를 남겼다.4. 검증 결과
fc3f7d8 feat(step2+step3): slide-level rich ContentObject trace (IMP-03 #3).origin/main과slide2/main에 동일 커밋 도달 확인.python -m py_compile src/phase_z2_pipeline.py src/phase_z2_content_extractor.py통과.5. 남긴 것 / 넘긴 것
본 이슈는 rich object를 실제 placement/render에 강제 반영하지 않았다. section-level attribution, rich-to-placement 활성화, browser runtime verification 문제는 별도 후속 축으로 분리했다.
결과보고서 v2 — 표, 이미지, 팝업 후보 추적 기능 보강
한 줄 요약
문서 안의 표, 이미지, 팝업 후보를 단순 텍스트가 아니라 별도 콘텐츠 후보로 인식하고 추적할 수 있게 했다.
왜 필요했나
문서에는 일반 문단만 있는 것이 아니다. 표, 이미지 경로, 팝업처럼 별도로 다뤄야 하는 요소가 섞여 있다. 이런 요소를 일반 텍스트처럼만 처리하면 슬라이드에서 중요한 시각 자료나 보조 설명이 사라지거나, 어디에 쓰여야 하는지 알 수 없게 된다.
자동 슬라이드 생성 품질을 높이려면 먼저 “문서 안에 어떤 종류의 콘텐츠가 있었는지”를 구조적으로 기록해야 한다.
무엇을 보완했나
문서 정규화 결과에서 표, 이미지, 팝업 후보를 뽑아 별도 콘텐츠 객체로 기록하는 흐름을 추가했다. 아직 이 정보를 바로 레이아웃에 강제 반영하지는 않고, 우선 추적 가능한 기록으로 남기는 데 집중했다.
또한 추출되지 않은 경우에도 왜 비어 있는지, 기능이 꺼져 있어서인지, 입력에 후보가 없어서인지 구분할 수 있도록 했다.
사용자가 얻는 효과
슬라이드 생성 과정에서 표나 이미지 같은 중요한 자료가 어디서 사라졌는지 확인하기 쉬워진다. 이후 이미지 배치, 표 처리, 팝업 처리 기능을 붙일 때 근거 데이터로 사용할 수 있다.
안전장치와 검증
기존 텍스트 기반 흐름을 바꾸지 않고, 추가 정보만 기록하는 방식으로 구현했다. 기능을 켜고 끄는 상태별로 결과가 어떻게 달라지는지 확인했다.
남은 한계 / 후속 작업
이번 작업은 “추적”까지다. 추출된 표/이미지/팝업 후보를 실제 슬라이드 레이아웃에 적극 반영하는 것은 별도 작업으로 남겼다.
기술 메모
구현 커밋은
fc3f7d8이다. 주요 변경은src/phase_z2_content_extractor.py와src/phase_z2_pipeline.py다.Kyeongmin referenced this issue2026-05-18 11:01:29 +09:00
Kyeongmin referenced this issue2026-05-18 12:28:35 +09:00
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