perf(autoFIPC): read model column metadata without copying data - #169
perf(autoFIPC): read model column metadata without copying data#169seonghobae wants to merge 14 commits into
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Pull request overview
autoFIPC() 내에서 열 이름 확인/데이터 캐싱 과정에서 발생하던 불필요한 데이터프레임 서브셋팅을 줄여 메모리 복사 비용을 낮추려는 성능 최적화 PR입니다. 다만 intersect() 도입으로 “누락된 컬럼이 있을 때 기존에는 에러로 실패하던 흐름”이 “조용히 누락 컬럼을 드롭하고 진행”으로 바뀔 수 있어, PR 설명(최적화로 기능 동일성 유지)과 달리 동작/산출물 변화 위험이 있습니다.
Changes:
R/aFIPC.R에서 컬럼명 추출 및linkedFormData구성 시intersect()기반으로 컬럼을 선택하도록 변경- 루트의 임시 테스트/검증 스크립트(
test_validation.R,test_dummy.R) 제거 - 성능 최적화 학습 노트(
.jules/bolt.md)에 항목 추가
Reviewed changes
Copilot reviewed 4 out of 4 changed files in this pull request and generated 3 comments.
| File | Description |
|---|---|
| R/aFIPC.R | 컬럼명 추출/캐싱 로직을 변경해 서브셋팅 비용을 줄이려는 최적화 |
| test_validation.R | 루트의 간단한 source 기반 문법 체크 스크립트 제거 |
| test_dummy.R | 루트의 더미 source 스크립트 제거 |
| .jules/bolt.md | “열 이름 추출 최적화”에 대한 학습/액션 노트 추가 |
Comments suppressed due to low confidence (1)
R/aFIPC.R:753
- Same concern as the earlier block: intersect() can hide a schema mismatch by dropping columns and letting the loop skip items via NA indices, instead of failing fast. Pull the item names directly from the model data to keep behavior consistent while still avoiding any data.frame subsetting for name extraction.
newFormColNames <- intersect(colnames(newFormModel@Data$data), colnames(newformXDataK))
oldFormColNames <- intersect(colnames(oldFormModel@Data$data), colnames(oldformYDataK))
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Pull request overview
Copilot reviewed 5 out of 5 changed files in this pull request and generated 1 comment.
Comments suppressed due to low confidence (4)
R/aFIPC.R:624
intersect()will silently drop any model columns that are missing fromnewformXDataK/oldformYDataK. Previously, subsetting bydf[cols]would error on missing columns, which is safer (fail-fast) for calibration/linking. Consider validating that all model columns exist, then keep the original column order explicitly.
newFormColNames <- intersect(colnames(newFormModel@Data$data), colnames(newformXDataK))
oldFormColNames <- intersect(colnames(oldFormModel@Data$data), colnames(oldformYDataK))
R/aFIPC.R:753
- Same issue as above: using
intersect()here changes behavior by silently dropping missing columns instead of erroring. That can mask data/model mismatches and lead to applying constraints/linking with an incomplete item set.
newFormColNames <- intersect(colnames(newFormModel@Data$data), colnames(newformXDataK))
oldFormColNames <- intersect(colnames(oldFormModel@Data$data), colnames(oldformYDataK))
R/aFIPC.R:851
intersect()here will silently drop missing columns, potentially creatinglinkedFormDatathat does not match the fitted model’s expected variables. It’s safer to validate the column set matches and then subset by the model column vector to preserve fail-fast behavior and ordering.
linkedFormData <- newformXDataK[, intersect(colnames(newFormModel@Data$data), colnames(newformXDataK)), drop = FALSE]
.jules/bolt.md:21
intersect(cols, colnames(df))avoids copying rows, but it’s still linear in the number of column names (not O(1)). The note currently claims O(1), which is misleading; consider rephrasing to O(K) where K is the number of columns/names involved.
## 2024-07-23 - R 언어에서 열 이름 추출 시 데이터프레임 부분집합 추출을 피하여 O(N) 메모리 복사 방지
**Learning:** R에서 열 이름을 확인하기 위해 `colnames(df[cols])` 형태로 데이터프레임을 서브셋팅하면, 단순히 이름만 추출하는 경우에도 데이터를 복사하는 과정에서 불필요한 O(N) 메모리 할당과 복사 오버헤드가 발생합니다.
**Action:** 열 이름을 추출하거나 비교할 때는 서브셋팅 대신 `intersect(cols, colnames(df))` 함수를 사용하여 데이터 복사 없이 O(1) 수준으로 성능을 개선해야 합니다.
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Copilot reviewed 6 out of 6 changed files in this pull request and generated 1 comment.
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.jules/bolt.md:21
intersect()는 데이터 복사는 피하지만 연산 자체는 입력 벡터 길이에 비례(O(k + p))하며 O(1)이 아닙니다. 문서에 O(1)이라고 적으면 성능 특성에 대한 오해를 유발할 수 있어 표현을 수정하는 것이 좋습니다.
**Action:** 열 이름을 추출하거나 비교할 때는 서브셋팅 대신 `intersect(cols, colnames(df))` 함수를 사용하여 데이터 복사 없이 O(1) 수준으로 성능을 개선해야 합니다.
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Pull request overview
OpenCode cannot approve yet because required coverage evidence did not pass.
Review outcome
1. HIGH .github/workflows/opencode-review.yml:1 - Coverage evidence did not prove required test/docstring evidence
-
Problem: The required coverage-evidence job result was
failure, so OpenCode cannot establish approval sufficiency for this head. -
Root cause: Automated approval is only valid when the same-head coverage-evidence job proves supported repository test suites passed and configured docstring gates passed or were advisory, or reports not applicable because no supported source files or package manifests exist. Missing, failed, skipped, unavailable, or unsupported-tooling test evidence is a blocker.
-
Fix: Install or configure the repository test/docstring evidence tooling when source files or package manifests exist, rerun the current-head coverage-evidence job, and approve only after it reports
successwith required evidence or explicit no-source not-applicable evidence. -
Regression test: Keep the approval branch checking
needs.coverage-evidence.result == successbefore posting APPROVE, and publish REQUEST_CHANGES when coverage-evidence blocker states such as cancelled, skipped, failed, unsupported-tooling, or below-100 evidence are present. -
Result: REQUEST_CHANGES
-
Reason: coverage-evidence result was
failure, so required test/docstring evidence was not proven for current headac0645da2bbec2501003f86f20027d3e2f56f866. -
Head SHA:
ac0645da2bbec2501003f86f20027d3e2f56f866 -
Workflow run: 31497320594
-
Workflow attempt: 1
Coverage evidence
Coverage Decision
- Result: FAIL
- Test evidence: not proven passing
- Docstring evidence: not proven passing when configured
- Failure count: 1
Changed-File Evidence Map
flowchart LR
PR["PR changed files"] --> Evidence["OpenCode bounded evidence"]
Evidence --> S1["Changed file (3 files)"]
S1 --> I1["repository behavior"]
I1 --> R1["Review risk: Changed file (3 files)"]
R1 --> V1["required checks"]
Evidence --> S2["Test (3 files)"]
S2 --> I2["regression suite"]
I2 --> R2["Review risk: Test (3 files)"]
R2 --> V2["targeted test run"]
OpenCode Review Overview
Pull request overviewOpenCode cannot approve yet because required coverage evidence did not pass. Review outcome1. HIGH .github/workflows/opencode-review.yml:1 - Coverage evidence did not prove required test/docstring evidence
Coverage evidenceCoverage Decision
Changed-File Evidence Mapflowchart LR
PR["PR changed files"] --> Evidence["OpenCode bounded evidence"]
Evidence --> S1["Changed file (2 files)"]
S1 --> I1["repository behavior"]
I1 --> R1["Review risk: Changed file (2 files)"]
R1 --> V1["required checks"]
Evidence --> S2["Test: test-bolt-intersect.R"]
S2 --> I2["regression suite"]
I2 --> R2["Review risk: Test: test-bolt-intersect.R"]
R2 --> V2["targeted test run"]
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Pull request overview
OpenCode cannot approve yet because required coverage evidence did not pass.
Review outcome
1. HIGH .github/workflows/opencode-review.yml:1 - Coverage evidence did not prove required test/docstring evidence
-
Problem: The required coverage-evidence job result was
failure, so OpenCode cannot establish approval sufficiency for this head. -
Root cause: Automated approval is only valid when the same-head coverage-evidence job proves supported repository test suites passed and configured docstring gates passed or were advisory, or reports not applicable because no supported source files or package manifests exist. Missing, failed, skipped, unavailable, or unsupported-tooling test evidence is a blocker.
-
Fix: Install or configure the repository test/docstring evidence tooling when source files or package manifests exist, rerun the current-head coverage-evidence job, and approve only after it reports
successwith required evidence or explicit no-source not-applicable evidence. -
Regression test: Keep the approval branch checking
needs.coverage-evidence.result == successbefore posting APPROVE, and publish REQUEST_CHANGES when coverage-evidence blocker states such as cancelled, skipped, failed, unsupported-tooling, or below-100 evidence are present. -
Result: REQUEST_CHANGES
-
Reason: coverage-evidence result was
failure, so required test/docstring evidence was not proven for current heade3e1a7cda9ee5f9843a5e88de87b2252cf36bada. -
Head SHA:
e3e1a7cda9ee5f9843a5e88de87b2252cf36bada -
Workflow run: 31544719205
-
Workflow attempt: 1
Coverage evidence
Coverage Decision
- Result: FAIL
- Test evidence: not proven passing
- Docstring evidence: not proven passing when configured
- Failure count: 1
Changed-File Evidence Map
flowchart LR
PR["PR changed files"] --> Evidence["OpenCode bounded evidence"]
Evidence --> S1["Changed file (3 files)"]
S1 --> I1["repository behavior"]
I1 --> R1["Review risk: Changed file (3 files)"]
R1 --> V1["required checks"]
Evidence --> S2["Workflow: r.yml"]
S2 --> I2["GitHub Actions review job"]
I2 --> R2["Review risk: Workflow: r.yml"]
R2 --> V2["actionlint plus required checks"]
Evidence --> S3["Test (3 files)"]
S3 --> I3["regression suite"]
I3 --> R3["Review risk: Test (3 files)"]
R3 --> V3["targeted test run"]
seonghobae
changed the title
f840785 to
fb14b8c
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@opencode-agent review-only request for exact restored head This head removes the later regression that silently dropped missing model columns. The three-file diff now reads model column metadata directly, preserves fail-fast data subsetting with |
Understood. Acknowledging that this work is now obsolete and stopping work on this task. |
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Pull request overview
OpenCode cannot approve yet because required coverage evidence did not pass.
Review outcome
1. HIGH .github/workflows/opencode-review.yml:1 - Coverage evidence did not prove required test/docstring evidence
-
Problem: The required coverage-evidence job result was
failure, so OpenCode cannot establish approval sufficiency for this head. -
Root cause: Automated approval is only valid when the same-head coverage-evidence job proves supported repository test suites passed and configured docstring gates passed or were advisory, or reports not applicable because no supported source files or package manifests exist. Missing, failed, skipped, unavailable, or unsupported-tooling test evidence is a blocker.
-
Fix: Install or configure the repository test/docstring evidence tooling when source files or package manifests exist, rerun the current-head coverage-evidence job, and approve only after it reports
successwith required evidence or explicit no-source not-applicable evidence. -
Regression test: Keep the approval branch checking
needs.coverage-evidence.result == successbefore posting APPROVE, and publish REQUEST_CHANGES when coverage-evidence blocker states such as cancelled, skipped, failed, unsupported-tooling, or below-100 evidence are present. -
Result: REQUEST_CHANGES
-
Reason: coverage-evidence result was
failure, so required test/docstring evidence was not proven for current headfb14b8c6857e1f631ab7b98c99237c6ed88065c4. -
Head SHA:
fb14b8c6857e1f631ab7b98c99237c6ed88065c4 -
Workflow run: 31818311865
-
Workflow attempt: 1
Coverage evidence
Coverage Decision
- Result: FAIL
- Test evidence: not proven passing
- Docstring evidence: not proven passing when configured
- Failure count: 1
Changed-File Evidence Map
flowchart LR
PR["PR changed files"] --> Evidence["OpenCode bounded evidence"]
Evidence --> S1["Changed file (2 files)"]
S1 --> I1["repository behavior"]
I1 --> R1["Review risk: Changed file (2 files)"]
R1 --> V1["required checks"]
Evidence --> S2["Test: test-bolt-intersect.R"]
S2 --> I2["regression suite"]
I2 --> R2["Review risk: Test: test-bolt-intersect.R"]
R2 --> V2["targeted test run"]
데이터 프레임 서브셋팅을 통해 열 이름을 추출하던 부분을 `intersect()` 함수로 대체하여 불필요한 O(N) 데이터 메모리 할당 및 복사 오버헤드를 방지함.
데이터 프레임 서브셋팅을 통해 열 이름을 추출하던 부분을 `intersect()` 함수로 대체하여 불필요한 O(N) 데이터 메모리 할당 및 복사 오버헤드를 방지함.
데이터 프레임 서브셋팅을 통해 열 이름을 추출하던 부분을 `intersect()` 함수로 대체하여 불필요한 O(N) 데이터 메모리 할당 및 복사 오버헤드를 방지함.
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seonghobae
removed
the
status: needs-review
Outcome
Evaluate avoiding temporary data-frame subsets when
autoFIPC()needs fitted-model item names, while preserving the existing data/model consistency contract.Current exact head:
9f3f95cb4068d3278ee358ece84a361a6492eec7on protectedmaster@f87c2324f1686135e57d8730c1b0b9420874f300. Keep Draft.linkedFormDatastill performs an explicitdrop = FALSEsubset, preserving required-column validation, order, and data-frame shape at the estimator boundary;.jules/bolt.mdis restored byte-for-byte to protected authority, so this experiment does not create repository-wide performance doctrine.Fresh intervening-delta repair
After reviewed
41e504416bca3c2f8434fa7344ef0f26637dbf38, the branch advanced to631883a3c39faa240d1ee7402e0741f06760a1ff. Fresh compare was ahead 1 / behind 0 but changed eleven unrelated/support paths in addition to the experiment:.Rbuildignore,.cursor/**,.github/workflows/r.yml,.jules/bolt.md,AGENTS.md,ARCHITECTURE.md,CLAUDE.md, root test files, and it weakenedtests/testthat/test-bolt-intersect.R. This was not a bounded continuation of the autoFIPC experiment and reintroduced generated performance doctrine while deleting repository/workflow/test material.History was not rewritten. Normal child
9f3f95cb4068d3278ee358ece84a361a6492eec7has parent631883a...and points to the exact reviewed41e5044...tree. All intervening commits remain in ancestry while the effective semantic tree returns to the bounded experiment.Consolidated predecessor/sibling evidence
#300 and #335 propose the same direct model-column lookup. Their valid semantic delta is contained here; #300 also reuses the direct names at
linkedFormData, which this branch preserves more explicitly withdrop = FALSE. #335 contributes an important review question: the protecteddata_frame[model_columns]expression performed column-existence validation before later work, whereas direct metadata access does not.The live construction paths suggest the missing-column state may be unreachable in supported use: fitted models are created from the corresponding input data (or a subset returned by recovery), while a supplied mirt model causes
*DataKto be reconstructed from that same model's@Data$data. That is not yet accepted as a complete proof of the public-domain invariant.RED / GREEN acceptance
Before merge, do one of the following without weakening the protected contract:
colnames(model@Data$data) ⊆ colnames(*DataK)before both direct metadata reads, including supplied-model and item-removal recovery paths; orRetain matching, reordered, and extra-column controls so the repair does not over-restrict valid data. Do not infer a buyer-visible speedup from the structural change alone. Any performance promotion requires representative/right-cleared linking workloads under identical R/mirt/runtime state with repeated median/p95, allocation/GC, and profile evidence.
Merge contract
Fresh exact-head checks must run on unchanged
9f3f95cb...; predecessor results do not transfer. Keep Draft until the invariant evidence above, terminal R CMD/test and applicable security/SAST/CodeQL checks, zero valid unresolved review findings, and qualifying independent current-head review are all present.No self-approval, predecessor-GREEN transfer, source-neutral retrigger, gate weakening, generated doctrine, force push, or destructive rebase.