perf(autoFIPC): read model column metadata without copying data - #169
perf(autoFIPC): read model column metadata without copying data#169seonghobae wants to merge 16 commits into
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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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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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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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Copilot reviewed 5 out of 5 changed files in this pull request and generated 1 comment.
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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.
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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Pull request overview
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. |
There was a problem hiding this comment.
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"]
Outcome
Avoid constructing temporary data-frame subsets when
autoFIPC()only needs the fitted models' item-name vectors.newFormModel@Data$dataandoldFormModel@Data$datain the IPD and fixed-parameter matching paths;drop = FALSEsubset when constructinglinkedFormData, preserving required-column validation, column order, and data-frame shape;This removes row-count-proportional temporary copies from metadata-only operations. It does not claim O(1) end-to-end calibration or a fixed percentage speedup.
Scope repair
Unrelated
.Rbuildignore, root-fixture deletion, and R dependency/ABI changes were removed. #212 remains the single ABI-repair PR.Merge contract
Merge only after the current head passes R CMD check, repository quality/security checks, central coverage evidence, all review threads, and independent approval.