Skip to content

Codex-generated pull request#48

Merged
rad1092 merged 1 commit intomainfrom
codex/add-anomaly-explanation-engine-in-explain.py
Feb 15, 2026
Merged

Codex-generated pull request#48
rad1092 merged 1 commit intomainfrom
codex/add-anomaly-explanation-engine-in-explain.py

Conversation

@rad1092
Copy link
Copy Markdown
Owner

@rad1092 rad1092 commented Feb 15, 2026

Codex generated this pull request, but encountered an unexpected error after generation. This is a placeholder PR message.


Codex Task

@rad1092 rad1092 merged commit a5f2de9 into main Feb 15, 2026
4 checks passed
@rad1092 rad1092 deleted the codex/add-anomaly-explanation-engine-in-explain.py branch February 15, 2026 05:27
Copy link
Copy Markdown

@chatgpt-codex-connector chatgpt-codex-connector Bot left a comment

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

💡 Codex Review

Here are some automated review suggestions for this pull request.

Reviewed commit: aa675e3a64

ℹ️ About Codex in GitHub

Your team has set up Codex to review pull requests in this repo. Reviews are triggered when you

  • Open a pull request for review
  • Mark a draft as ready
  • Comment "@codex review".

If Codex has suggestions, it will comment; otherwise it will react with 👍.

Codex can also answer questions or update the PR. Try commenting "@codex address that feedback".

Comment thread bitnet_tools/explain.py
return None

with csv_path.open('r', encoding='utf-8-sig', newline='') as f:
rows = list(csv.DictReader(f))
Copy link
Copy Markdown

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

P1 Badge Stream recent-change rows instead of materializing the CSV

This line loads the entire file into memory before computing recent-change signals, so every dataset with both a date and numeric column incurs an O(n) in-memory copy in addition to profiling; on large CSVs this can significantly slow analysis or trigger memory failures. Since analyze_multiple_csv is otherwise stream-oriented, this regression can break large-file workflows and should be replaced with incremental windowed processing.

Useful? React with 👍 / 👎.

Comment thread bitnet_tools/explain.py
Comment on lines +124 to +128
raw = str(row.get(ncol, '')).strip().replace(',', '')
if not raw:
continue
try:
values[ncol] = float(raw)
Copy link
Copy Markdown

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

P2 Badge Parse recent-change numerics with the shared normalizer

Recent-change detection parses numeric cells with float(raw) after only removing commas, which drops values like currency/percent/parenthesized numbers that profiling already treats as numeric via _to_float; in those common formats, dtype is float but prev_vals/recent_vals stay empty and the 최근 급변 reason is silently missed. Reusing the same numeric normalization here would keep reason generation consistent with the profile stage.

Useful? React with 👍 / 👎.

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment

Labels

Projects

None yet

Development

Successfully merging this pull request may close these issues.

1 participant