45 lines
1.2 KiB
Python
45 lines
1.2 KiB
Python
import os
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import sys
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import pandas as pd
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KEY = "Elapsed seconds"
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BASE_METRICS = ["CPU (%)", "Real (MB)"]
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branch_order = []
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merged = None
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paths = [p.strip() for p in sys.stdin.read().split() if p.strip()]
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for csv_path in paths:
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# br is branch (variable shortened to pass linter)
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br = os.path.splitext(os.path.basename(csv_path))[0]
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branch_order.append(br)
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df = pd.read_csv(csv_path)
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if KEY not in df.columns:
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sys.exit(f"{csv_path} is missing the {KEY} column")
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for m in BASE_METRICS:
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if m not in df.columns:
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sys.exit(f"Error: '{csv_path}' missing required column '{m}'.")
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# add branch marker to every metric column
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df = df.rename(columns={c: f"{c} [{br}]" for c in df.columns if c != KEY})
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# outer join so missing rows appear
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merged = df if merged is None else merged.merge(df, on=KEY, how="outer")
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# Re-order columns so related metrics are adjacent
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ordered_cols = [KEY]
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for metric in BASE_METRICS:
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for br in branch_order:
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col_name = f"{metric} [{br}]"
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if col_name in merged.columns:
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ordered_cols.append(col_name)
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merged = merged[ordered_cols]
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# replace nan with empty string
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merged = merged.fillna("")
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merged.to_markdown(sys.stdout, index=False, tablefmt="github")
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