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chore: import upstream snapshot with attribution
2026-07-13 12:37:45 +08:00

35 lines
1.1 KiB
Python

#!/usr/bin/env python
""" Test Measures Script """
import logging
import pandas
pandas.set_option("display.max_rows", None)
logger = logging.getLogger(__name__)
logging.basicConfig(level=logging.INFO, format="%(message)s")
def _summarize(summary_df, measures_df, column, threshold):
measures_df = measures_df.sort_values(column, ascending=False)
total = measures_df[column].sum()
column_df = measures_df[measures_df[column] > threshold]
top = column_df[column].sum()
percent = 100 * (top / total)
summary_df.loc[len(summary_df)] = [ column, total, top, len(column_df), percent ]
return column_df.to_string(index=False) + "\n"
def main():
measures_df = pandas.read_csv("dist/test/measures.csv")
measures_df.fillna(0, inplace=True)
summary_df = pandas.DataFrame(columns=[ "Name", "Total", "Top", "Count", "Ratio" ])
logger.info(_summarize(summary_df, measures_df, "load", 1))
logger.info(_summarize(summary_df, measures_df, "validate", 1))
logger.info(_summarize(summary_df, measures_df, "render", 1))
logger.info(summary_df.to_string(index=False))
if __name__ == "__main__":
main()