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Filter per-turn breakdown rows from multi-turn benchmarks - #101
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Forge PR #215 adds per-turn CSV rows alongside aggregate rows for multi-turn benchmarks. The `turn` column is empty on aggregate rows and 0/1/2/… on per-turn breakdown rows. Without this filter, per-turn rows would be mixed into _combos() grouping and produce duplicate concurrency points, inflated request counts, and skewed percentiles. Filter keeps only aggregate rows (turn is empty/NaN). CSVs without a turn column are unaffected. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
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📝 WalkthroughWalkthroughThe dashboard prepares per-turn rows separately from aggregate rows and applies sidebar filters to both datasets. Performance plots and filtered-data views can use the per-turn rows. URL synchronization includes the active section’s widget values. ChangesMulti-turn performance plotting
Section-specific URL state
Priority: ➖ Normal Estimated code review effort: 3 (Moderate) | ~20 minutes Change: Feature Sequence Diagram(s)sequenceDiagram
participant DashboardData
participant SidebarFilters
participant PerformancePlots
participant FilteredData
DashboardData->>SidebarFilters: aggregate and per-turn rows
SidebarFilters->>PerformancePlots: filtered datasets
SidebarFilters->>FilteredData: filtered datasets
Suggested reviewers: Merge Risk: 🔵 Low · up to Shared turn plots can reopen with a different concurrency selection. This localized issue should be fixed or accepted before merge. Architecture SummaryArchitecture risk: 🔵 Low · up to The change affects 1 system. Changed systems: Architecture concerns Review detailsSystems and components
Before / after behavior
🚥 Pre-merge checks | ✅ 5✅ Passed checks (5 passed)
✨ Finishing Touches🧪 Generate unit tests (beta)
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Intent & Optimality (pr-intent-review)Understood intent: Filters out per-turn breakdown rows from the Streamlit dashboard to prevent chart corruption. Companion to forge#215, which adds per-turn CSV rows for multi-turn benchmarks. Without this filter, per-turn rows would mix into Optimality: Optimal — minimal 3-line filter placed in the correct preprocessing section (after Breaking Changes (code-review-breaking-change)No breaking changes. The filter only removes per-turn rows (where Change Size (code-review-change-size)PASS: 5 lines added to 1 file. No split needed. Test Integrity (code-review-test-integrity)No test deletions or CI tampering. No new tests added, but the change is a simple pandas filter with straightforward semantics. Comment Density (code-review-comment-density)No comment density issues found. No comments added (appropriate for a 3-line filter). Race Condition (code-review-race-condition-check)No race condition issues found. Single-process Streamlit app reading a CSV. Action ItemsNone. This PR is clean and ready to merge. — Reviewed by Coding Agent |
When per-turn rows are present (from Forge PR #215), a "Turn (Multi-turn)" option appears in the Select X-Axis dropdown. Selecting it plots turn_index on x-axis vs any Y-axis metric, with one line per concurrency level. "Show concurrency up to" filters which lines appear, same as for Concurrency. Replaces the earlier render_per_turn_breakdown expander with native integration into the existing plot controls. Co-Authored-By: Claude Sonnet 4.6 (1M context) <noreply@anthropic.com>
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- 🪄 Fix CodeRabbit comments on this PR
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Review comments at @dashboard.py:
- Around line 12707-12709: Update the per_turn_df mask to use the same
normalization and workload/configuration filters as filtered_df, including
profile, TP, DP, ISL/OSL, turns, prefix, and dataset settings, while retaining
the accelerator, model, and version filters. Ensure the turn-index chart
includes only rows matching the selected configuration.
- Line 3845: Update the per-turn run_identifier construction and aggregate
identifier logic to use one shared builder that includes DP, speculative
decoding, prefix caching, turns, prefix_tokens, and prefix_count. Keep
concurrency in the per-turn label so distinct configurations produce separate
Plotly traces.
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Co-Authored-By: Claude Sonnet 4.6 (1M context) <noreply@anthropic.com>
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Multi-turn visualization working ✅The Validated with Forge CI run on H200 (Qwen3-0.6B, 3 turns, ISL/OSL=128/128, rates 1/10/50):
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Correctness: - filtered_per_turn_df now uses a shared _apply_filters() function that applies all 10 sidebar filters (was missing TP, profile, spec_decoding, DP, dataset, prefix_caching, and multi-turn masks) - per_turn_plot_df run_identifier now includes DP/spec_decoding/prefix_caching suffixes so per-turn legend labels match the main-chart labels - errored_requests/successful_requests column access now guarded; KeyError no longer crashes data prep for older CSV schemas - turn_index astype(float) replaced with pd.to_numeric(errors='coerce') to handle non-numeric strings like 'N/A' without crashing - efficiency_ratio inf guard: replace [inf, -inf] with NaN for TP=0 rows - output_tok/sec column access now guarded for latency-only schemas Cleanup: - Extract _is_turn_view boolean; evaluated once before all branches use it Co-Authored-By: Claude Sonnet 4.6 (1M context) <noreply@anthropic.com>
Remove orphaned mask variables (tp_mask, dp_mask, custom_mask, etc.) left behind after refactoring to _apply_filters() — ruff F841 flagged all 9 as assigned but unused. Run ruff format to fix formatting. Co-Authored-By: Claude Sonnet 4.6 (1M context) <noreply@anthropic.com>
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Babysit PR — Status✅ CI green — ready to merge
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Add turns/prefix_tokens/prefix_count suffixes to per_turn_plot_df run_identifier so it fully matches filtered_df's run_identifier format. All six configuration dimensions now included: DP, spec_decoding, prefix_caching, turns, prefix_tokens, prefix_count. Addresses coderabbitai comment at line 3845. The filtered_per_turn_df filter comment is already fixed by _apply_filters(). Co-Authored-By: Claude Sonnet 4.6 (1M context) <noreply@anthropic.com>
Co-Authored-By: Claude Sonnet 4.6 (1M context) <noreply@anthropic.com>
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Inline comments:
Review comments at @dashboard.py:
- Around line 11552-11558: Update the turn_index conversion so invalid values
are coerced and their rows are removed before casting the remaining values to
int. Keep the filtering and conversion in the per_turn_df processing flow so
turn-view labels and hover text use integer indices.
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Fix turn_index staying float64: filter invalid rows before astype(int) instead of using reindex() which re-introduces NaN and forces float column. Turn labels now show 0/1/2 instead of 0.0/1.0/2.0. Suggested by coderabbitai (comment 4146691396). Co-Authored-By: Claude Sonnet 4.6 (1M context) <noreply@anthropic.com>
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Inline comments:
Review comments at @dashboard.py:
- Line 11635: In the per-turn DataFrame processing, guard the
`per_turn_df["turns"]` normalization against a missing column by creating it
with the default value of 1 before calling `fillna` and `astype`. Keep the
existing normalization behavior when the column is present.
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When Turn (Multi-turn) is selected as x-axis, col3 now shows a Concurrency multiselect (defaulting to the highest value) instead of the "Show concurrency up to" selectbox. This lets engineers study one concurrency at a time while making it easy to add more for comparison. Also fix empty-list isin() bug for mt_turns/mt_prefix_tokens/ mt_prefix_count sidebar filters — empty selection now means no filter (pass-through) instead of filtering out all data. Co-Authored-By: Claude Sonnet 4.6 (1M context) <noreply@anthropic.com>
Guard per_turn_df["turns"] against missing column using .get() with default Series(1), matching the pattern already used for prefix_tokens, prefix_count, spec_decoding, and prefix_caching. Co-Authored-By: Claude Sonnet 4.6 (1M context) <noreply@anthropic.com>
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Guard per_turn_df["turns"] against missing column using .get() with default Series(1), matching the pattern already used for prefix_tokens, prefix_count, spec_decoding, and prefix_caching. Co-Authored-By: Claude Sonnet 4.6 (1M context) <noreply@anthropic.com>
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only still-valid issues, skip the rest with a brief reason, keep changes
minimal, and validate.
Inline comments:
Review comments at @dashboard.py:
- Line 3973: The performance_plots URL filter configuration omits
perf_plots_turn_concurrency, so selected levels are not preserved in shared
URLs. Add this key to SECTION_FILTER_KEYS["performance_plots"] and handle its
decoding as a numeric multiselect, so URL restoration retains the selected
concurrency levels.
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Add pp_turn_conc → perf_plots_turn_concurrency to SECTION_FILTER_KEYS and MULTISELECT_SESSION_KEYS (with NUMERIC_LIST for int parsing) so the selected concurrency level(s) survive copy-paste URL sharing. Co-Authored-By: Claude Sonnet 4.6 (1M context) <noreply@anthropic.com>
NUMERIC_LIST_SESSION_KEYS converts to float, but the Concurrency multiselect options are integers. Add INT_LIST_SESSION_KEYS and move perf_plots_turn_concurrency there so URL-restored selections correctly match the int options in the widget. Co-Authored-By: Claude Sonnet 4.6 (1M context) <noreply@anthropic.com>
@st.fragment reruns dont trigger the parent encode_filters_to_url, so the concurrency selection was never written to st.query_params. Update it inline after the multiselect renders. Co-Authored-By: Claude Sonnet 4.6 (1M context) <noreply@anthropic.com>
pp_x, pp_y, pp_conc, and pp_turn_conc are all written directly to st.query_params after the chart renders, since @st.fragment reruns do not fire the parent from_dict call. This ensures the URL bar stays accurate for copy-paste sharing when any of these widgets change. Co-Authored-By: Claude Sonnet 4.6 (1M context) <noreply@anthropic.com>
aas008
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Oct 6, 2026
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>
Correctness:
- Guard stale perf_plots_turn_concurrency session state: filter stored
list to only still-valid values, fall back to max if all stale
(previously raised StreamlitInvalidValueError when data reloads)
- Add .fillna("?") to run_identifier string concat for accelerator/
model/version, preventing NaN color labels in plotly turn chart
- Guard else-branch when x_axis='turn_index' but per_turn_plot_df is
empty — show info message instead of sorting aggregate df by NaN
turn_index column
- Narrow broad contextlib.suppress(Exception) in URL push block to a
try/except with a pass, keeping the intent but letting TypeError/
AttributeError from bad values surface during development
Simplification:
- Factor _str_norm into a proper function shared by both per_turn_df
and df preprocessing paths — eliminates duplicated logic
- Remove redundant reset_index(drop=True, inplace=True) in filtered
data section (concat branch already ends with .reset_index)
- Remove double per_turn_plot_df.copy() — plot_label can be assigned
directly (per_turn_df.copy() earlier in the block is sufficient)
Co-Authored-By: Claude Sonnet 4.6 (1M context) <noreply@anthropic.com>
Harshith-umesh
pushed a commit
that referenced
this pull request
Oct 7, 2026
#104) * Filter out per-turn breakdown rows from multi-turn benchmarks Forge PR #215 adds per-turn CSV rows alongside aggregate rows for multi-turn benchmarks. The `turn` column is empty on aggregate rows and 0/1/2/… on per-turn breakdown rows. Without this filter, per-turn rows would be mixed into _combos() grouping and produce duplicate concurrency points, inflated request counts, and skewed percentiles. Filter keeps only aggregate rows (turn is empty/NaN). CSVs without a turn column are unaffected. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> * Rename turn to turn_index to avoid confusion with turns column Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> * Add Turn x-axis option to Performance Plots for multi-turn benchmarks When per-turn rows are present (from Forge PR #215), a "Turn (Multi-turn)" option appears in the Select X-Axis dropdown. Selecting it plots turn_index on x-axis vs any Y-axis metric, with one line per concurrency level. "Show concurrency up to" filters which lines appear, same as for Concurrency. Replaces the earlier render_per_turn_breakdown expander with native integration into the existing plot controls. Co-Authored-By: Claude Sonnet 4.6 (1M context) <noreply@anthropic.com> * Fix code-review findings in per-turn dashboard integration Correctness: - filtered_per_turn_df now uses a shared _apply_filters() function that applies all 10 sidebar filters (was missing TP, profile, spec_decoding, DP, dataset, prefix_caching, and multi-turn masks) - per_turn_plot_df run_identifier now includes DP/spec_decoding/prefix_caching suffixes so per-turn legend labels match the main-chart labels - errored_requests/successful_requests column access now guarded; KeyError no longer crashes data prep for older CSV schemas - turn_index astype(float) replaced with pd.to_numeric(errors='coerce') to handle non-numeric strings like 'N/A' without crashing - efficiency_ratio inf guard: replace [inf, -inf] with NaN for TP=0 rows - output_tok/sec column access now guarded for latency-only schemas Cleanup: - Extract _is_turn_view boolean; evaluated once before all branches use it Co-Authored-By: Claude Sonnet 4.6 (1M context) <noreply@anthropic.com> * bazinga: fix CI failure on PR #101 Remove orphaned mask variables (tp_mask, dp_mask, custom_mask, etc.) left behind after refactoring to _apply_filters() — ruff F841 flagged all 9 as assigned but unused. Run ruff format to fix formatting. Co-Authored-By: Claude Sonnet 4.6 (1M context) <noreply@anthropic.com> * bazinga: address PR review feedback (#101) Add turns/prefix_tokens/prefix_count suffixes to per_turn_plot_df run_identifier so it fully matches filtered_df's run_identifier format. All six configuration dimensions now included: DP, spec_decoding, prefix_caching, turns, prefix_tokens, prefix_count. Addresses coderabbitai comment at line 3845. The filtered_per_turn_df filter comment is already fixed by _apply_filters(). Co-Authored-By: Claude Sonnet 4.6 (1M context) <noreply@anthropic.com> * bazinga: address PR review feedback (#101) Fix turn_index staying float64: filter invalid rows before astype(int) instead of using reindex() which re-introduces NaN and forces float column. Turn labels now show 0/1/2 instead of 0.0/1.0/2.0. Suggested by coderabbitai (comment 4146691396). Co-Authored-By: Claude Sonnet 4.6 (1M context) <noreply@anthropic.com> * feat: replace Turn x-axis concurrency filter with multiselect When Turn (Multi-turn) is selected as x-axis, col3 now shows a Concurrency multiselect (defaulting to the highest value) instead of the "Show concurrency up to" selectbox. This lets engineers study one concurrency at a time while making it easy to add more for comparison. Also fix empty-list isin() bug for mt_turns/mt_prefix_tokens/ mt_prefix_count sidebar filters — empty selection now means no filter (pass-through) instead of filtering out all data. Co-Authored-By: Claude Sonnet 4.6 (1M context) <noreply@anthropic.com> * bazinga: address PR review feedback (#101) Guard per_turn_df["turns"] against missing column using .get() with default Series(1), matching the pattern already used for prefix_tokens, prefix_count, spec_decoding, and prefix_caching. Co-Authored-By: Claude Sonnet 4.6 (1M context) <noreply@anthropic.com> * fix: include Turn concurrency multiselect in shared URL Add pp_turn_conc → perf_plots_turn_concurrency to SECTION_FILTER_KEYS and MULTISELECT_SESSION_KEYS (with NUMERIC_LIST for int parsing) so the selected concurrency level(s) survive copy-paste URL sharing. Co-Authored-By: Claude Sonnet 4.6 (1M context) <noreply@anthropic.com> * fix: decode pp_turn_conc as int not float to match multiselect options NUMERIC_LIST_SESSION_KEYS converts to float, but the Concurrency multiselect options are integers. Add INT_LIST_SESSION_KEYS and move perf_plots_turn_concurrency there so URL-restored selections correctly match the int options in the widget. Co-Authored-By: Claude Sonnet 4.6 (1M context) <noreply@anthropic.com> * fix: push pp_turn_conc to URL directly from fragment @st.fragment reruns dont trigger the parent encode_filters_to_url, so the concurrency selection was never written to st.query_params. Update it inline after the multiselect renders. Co-Authored-By: Claude Sonnet 4.6 (1M context) <noreply@anthropic.com> * fix: push all perf-plots URL params from fragment pp_x, pp_y, pp_conc, and pp_turn_conc are all written directly to st.query_params after the chart renders, since @st.fragment reruns do not fire the parent from_dict call. This ensures the URL bar stays accurate for copy-paste sharing when any of these widgets change. Co-Authored-By: Claude Sonnet 4.6 (1M context) <noreply@anthropic.com> * feat(manual-import): add turn_index column to manual run CSV output Add turn_index as empty string for aggregate rows so manually-imported CSVs are schema-compatible with the dashboard's per-turn logic (PR #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 (#7), clarify that manual import produces aggregate rows only. Co-Authored-By: Claude Sonnet 4.6 (1M context) <noreply@anthropic.com> * fix: correct turn_index position in README column table 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> * fix: move turn_index adjacent to turns in README column table 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: #49, turns: #50, prefix_tokens: #51, prefix_count: #52, request_type: #53. Co-Authored-By: Claude Sonnet 4.6 (1M context) <noreply@anthropic.com> * fix: address code-review findings in per-turn dashboard integration Correctness: - Guard stale perf_plots_turn_concurrency session state: filter stored list to only still-valid values, fall back to max if all stale (previously raised StreamlitInvalidValueError when data reloads) - Add .fillna("?") to run_identifier string concat for accelerator/ model/version, preventing NaN color labels in plotly turn chart - Guard else-branch when x_axis='turn_index' but per_turn_plot_df is empty — show info message instead of sorting aggregate df by NaN turn_index column - Narrow broad contextlib.suppress(Exception) in URL push block to a try/except with a pass, keeping the intent but letting TypeError/ AttributeError from bad values surface during development Simplification: - Factor _str_norm into a proper function shared by both per_turn_df and df preprocessing paths — eliminates duplicated logic - Remove redundant reset_index(drop=True, inplace=True) in filtered data section (concat branch already ends with .reset_index) - Remove double per_turn_plot_df.copy() — plot_label can be assigned directly (per_turn_df.copy() earlier in the block is sufficient) Co-Authored-By: Claude Sonnet 4.6 (1M context) <noreply@anthropic.com> --------- Co-authored-by: Claude Opus 4.6 <noreply@anthropic.com>
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Summary
Companion to openshift-psap/forge#215, which adds per-turn CSV rows for multi-turn GuideLLM benchmarks. This PR integrates those rows into the Streamlit dashboard.
Changes
Preprocessing
turn_indexnon-empty) are split out ofdfbefore any grouping/combo logic, preventing duplicate concurrency points and skewed metrics in all existing chartsprefix_tokens,prefix_count,turns,spec_decoding,prefix_caching) applied to bothdfandper_turn_dfso sidebar filter types match; all columns guarded with.get()for schema robustness (includingturns)Performance Plots
Filtered Data
turn_indexcolumn is hidden when the toggle is offURL sharing
encode_filters_to_urlnow pushes the active section's widget state (pp_x,pp_y,pp_conc) to the live URL bar so copying the address bar URL preserves the x-axis selectionSidebar filter correctness
filtered_per_turn_dfgoes through a shared_apply_filters(d)closure applying all 10 sidebar filtersper_turn_plot_dfrun_identifier includes all six suffixes (DP, spec_decoding, prefix_caching, turns, prefix_tokens, prefix_count)turns/prefix_tokens/prefix_countnow means no filter (pass-through) instead ofisin([])filtering out all dataBackward compatibility
turn_indexcolumn are completely unaffectedValidated with
Forge CI run on H200 (Qwen3-0.6B, 3 turns, ISL/OSL=128/128): 3 aggregate + 9 per-turn rows end-to-end through the full pipeline.
Test plan
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Summary by CodeRabbit