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Add turn_index as empty string for aggregate rows so manually-imported CSVs are schema-compatible with the dashboard's per-turn logic (PR openshift-psap#101). Per-turn rows (turn_index=0/1/2) are generated by the Forge pipeline when request-level turn data is preserved in the benchmark JSON. Update README: 52 → 53 columns, add turn_index to column table (openshift-psap#7), clarify that manual import produces aggregate rows only. Co-Authored-By: Claude Sonnet 4.6 (1M context) <noreply@anthropic.com>
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Included review availability: This review used your included allowance. Your plan provides up to 1 included review per hour; 0 remain after this review. 📝 WalkthroughWalkthroughThe vLLM manual importer now adds an empty ChangesManual import output
Priority: ⬇️ Low Estimated code review effort: 2 (Simple) | ~5 minutes Change: Feature Merge Risk: ⚪ Minimal · up to New manual-import rows include the documented empty turn_index column. No actionable merge risk remains after normal checks. 🚥 Pre-merge checks | ✅ 5✅ Passed checks (5 passed)
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Row numbering was corrupted by the previous renumber script — TP and measured concurrency both landed at row 9. Fix: turn_index=7, TP=8, measured concurrency=9, continuing sequentially to request_type=53. Co-Authored-By: Claude Sonnet 4.6 (1M context) <noreply@anthropic.com>
The script emits turn_index right before turns in the output dict. The README should reflect actual output order, not the RHAIIS schema field position (which pandas aligns by name on concat anyway). turn_index: openshift-psap#49, turns: openshift-psap#50, prefix_tokens: openshift-psap#51, prefix_count: openshift-psap#52, request_type: openshift-psap#53. Co-Authored-By: Claude Sonnet 4.6 (1M context) <noreply@anthropic.com>
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Review comments at @manual_runs/scripts/vllm/import_manual_runs_json_v2.py:
- Line 208: Add turn_index to the fixed CSV fieldnames list before turns so
column selection retains the new row key in the export.
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The turn_index key was added to the result dict but missing from the fieldnames list passed to combined_df[fieldnames], so pandas silently dropped it. CSV output now has 53 columns as the README states. Co-Authored-By: Claude Sonnet 4.6 (1M context) <noreply@anthropic.com>
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Summary
Companion to #101. Adds
turn_indexas an empty string for aggregate rows in the manual import script so CSVs produced byimport_manual_runs_json_v2.pyare schema-compatible with the dashboard's per-turn logic.Changes
import_manual_runs_json_v2.py: Add"turn_index": ""to the returned row dict (aggregate rows only; per-turn rows withturn_index=0/1/2are generated by the Forge pipeline when request-level data is available)README.md: 52 → 53 columns, addturn_indexto column table at position Add S3 automation for dynamic CSV data loading #7, clarify that manual import produces aggregate rows onlyWhy empty string, not per-turn rows?
The Forge pipeline (PR #215) generates per-turn rows from the trimmed
benchmarks.jsonrequest-level data. The manual import script reads the same JSON but doesn't have access to per-requestturn_indexdata in a way that maps cleanly to the per-turn CSV schema — that transformation belongs in the Forge postprocessing path. The emptyturn_indexensures the dashboard correctly treats all manual-import rows as aggregate rows.🤖 Generated with Claude Code
Summary by CodeRabbit
turn_indexcolumn, which is empty for aggregate rows. Per-turn rows are generated by the Forge pipeline when benchmark data includes turn-index information.prefix_cachingandturnsin the output.turn_indexis populated.