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RCCL Test intregration : changes for adding comparison #44

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prosenjitdhole merged 1 commit into from
Dec 12, 2025
Merged

RCCL Test intregration : changes for adding comparison #44

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64 changes: 38 additions & 26 deletions scripts/tracelens_single_config/add_comparison_sheets.py
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Original file line number Diff line number Diff line change
Expand Up @@ -5,7 +5,7 @@
from openpyxl.formatting.rule import ColorScaleRule


def add_comparison_sheets(input_path, output_path):
def add_comparison_sheets(input_path, output_path, baseline_label='baseline', test_label='test'):
"""
Create comparison sheets for the combined excel file of individual reports.
"""
Expand All @@ -23,23 +23,33 @@ def add_comparison_sheets(input_path, output_path):
# Add comparison sheets
all_combined = pd.read_excel(input_path, sheet_name="All_Ranks_Combined")

# Get actual source values from the dataframe
sources = all_combined['source'].unique()
# Determine which is baseline and which is test (baseline should be first)
if len(sources) >= 2:
actual_baseline = sources[0]
actual_test = sources[1]
else:
actual_baseline = baseline_label
actual_test = test_label

# Comparison 1: Side-by-side by rank
baseline_data = all_combined[all_combined["source"] == "baseline"]
test_data = all_combined[all_combined["source"] == "test"]
baseline_data = all_combined[all_combined["source"] == actual_baseline]
test_data = all_combined[all_combined["source"] == actual_test]

comparison_by_rank = pd.DataFrame()
for rank in sorted(baseline_data["rank"].unique()):
base_rank = baseline_data[baseline_data["rank"] == rank].set_index("type")
sale_rank = test_data[test_data["rank"] == rank].set_index("type")
test_rank = test_data[test_data["rank"] == rank].set_index("type")

for metric_type in base_rank.index:
if metric_type in sale_rank.index:
if metric_type in test_rank.index:
base_time = base_rank.loc[metric_type, "time ms"]
sale_time = sale_rank.loc[metric_type, "time ms"]
ratio_val = sale_time / base_time if base_time != 0 else 0
test_time = test_rank.loc[metric_type, "time ms"]
ratio_val = test_time / base_time if base_time != 0 else 0
# Percentage change: positive when test is faster (takes less time)
pct_change = (
(base_time - sale_time) / base_time * 100
(base_time - test_time) / base_time * 100
if base_time != 0
else 0
)
Expand All @@ -59,20 +69,20 @@ def add_comparison_sheets(input_path, output_path):
{
"rank": [rank],
"type": [metric_type],
"baseline_time_ms": [base_time],
"test_time_ms": [sale_time],
"diff_time_ms": [sale_time - base_time],
f"{baseline_label}_time_ms": [base_time],
f"{test_label}_time_ms": [test_time],
"diff_time_ms": [test_time - base_time],
"percent_change": [pct_change],
"status": [status],
"ratio": [ratio_val],
"baseline_percent": [
f"{baseline_label}_percent": [
base_rank.loc[metric_type, "percent"]
],
"test_percent": [
sale_rank.loc[metric_type, "percent"]
f"{test_label}_percent": [
test_rank.loc[metric_type, "percent"]
],
"diff_percent": [
sale_rank.loc[metric_type, "percent"]
test_rank.loc[metric_type, "percent"]
- base_rank.loc[metric_type, "percent"]
],
}
Expand All @@ -88,18 +98,18 @@ def add_comparison_sheets(input_path, output_path):

# Comparison 2: Summary comparison
summary = pd.read_excel(input_path, sheet_name="Summary")
baseline_summary = summary[summary["source"] == "baseline"].set_index("type")
test_summary = summary[summary["source"] == "test"].set_index("type")
baseline_summary = summary[summary["source"] == actual_baseline].set_index("type")
test_summary = summary[summary["source"] == actual_test].set_index("type")

summary_comparison = pd.DataFrame()
for metric_type in baseline_summary.index:
if metric_type in test_summary.index:
base_time = baseline_summary.loc[metric_type, "time ms"]
sale_time = test_summary.loc[metric_type, "time ms"]
ratio_val = sale_time / base_time if base_time != 0 else 0
test_time = test_summary.loc[metric_type, "time ms"]
ratio_val = test_time / base_time if base_time != 0 else 0
# Percentage change: positive when test is faster (takes less time)
pct_change = (
(base_time - sale_time) / base_time * 100 if base_time != 0 else 0
(base_time - test_time) / base_time * 100 if base_time != 0 else 0
)

summary_comparison = pd.concat(
Expand All @@ -108,15 +118,15 @@ def add_comparison_sheets(input_path, output_path):
pd.DataFrame(
{
"type": [metric_type],
"baseline_time_ms": [base_time],
"test_time_ms": [sale_time],
"diff_time_ms": [sale_time - base_time],
f"{baseline_label}_time_ms": [base_time],
f"{test_label}_time_ms": [test_time],
"diff_time_ms": [test_time - base_time],
"percent_change": [pct_change],
"ratio": [ratio_val],
"baseline_percent": [
f"{baseline_label}_percent": [
baseline_summary.loc[metric_type, "percent"]
],
"test_percent": [
f"{test_label}_percent": [
test_summary.loc[metric_type, "percent"]
],
"diff_percent": [
Expand Down Expand Up @@ -199,10 +209,12 @@ def main():
parser.add_argument(
"--output", required=True, help="Output Excel file with comparison sheets"
)
parser.add_argument('--baseline-label', default='baseline', help='Label for baseline data')
parser.add_argument('--test-label', default='test', help='Label for test data')

args = parser.parse_args()

return add_comparison_sheets(args.input, args.output)
return add_comparison_sheets(args.input, args.output, args.baseline_label, args.test_label)


if __name__ == "__main__":
Expand Down