danielhanrahan | 9c8b57d | 2023-03-05 12:20:40 +0000 | [diff] [blame] | 1 | #!/usr/bin/env python3 |
| 2 | # |
| 3 | # Copyright 2023 Nordix Foundation. |
| 4 | # |
| 5 | # Licensed under the Apache License, Version 2.0 (the "License"); |
| 6 | # you may not use this file except in compliance with the License. |
| 7 | # You may obtain a copy of the License at |
| 8 | # |
| 9 | # http://www.apache.org/licenses/LICENSE-2.0 |
| 10 | # |
| 11 | # Unless required by applicable law or agreed to in writing, software |
| 12 | # distributed under the License is distributed on an "AS IS" BASIS, |
| 13 | # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. |
| 14 | # See the License for the specific language governing permissions and |
| 15 | # limitations under the License. |
| 16 | # |
| 17 | |
| 18 | import argparse |
| 19 | import csv |
| 20 | |
| 21 | |
| 22 | def load_metrics_table(filename): |
| 23 | with open(filename) as tsvFile: |
| 24 | csvreader = csv.DictReader(tsvFile, dialect="excel-tab") |
| 25 | table = {} |
| 26 | for source_row in csvreader: |
| 27 | method, count, sum_time = source_row['Method'], source_row['Count'], source_row['Sum'] |
| 28 | table[method] = { 'Count': int(float(count)), 'Sum': float(sum_time) } |
| 29 | return table |
| 30 | |
| 31 | |
| 32 | def save_metrics_table(table, filename): |
| 33 | with open(filename, 'w', newline='') as outfile: |
| 34 | csvwriter = csv.writer(outfile, dialect="excel-tab") |
| 35 | csvwriter.writerow(["Method", "Count", "Sum"]) |
| 36 | for method in table: |
| 37 | count, sum_time = table[method]['Count'], table[method]['Sum'] |
| 38 | csvwriter.writerow([method, count, sum_time]) |
| 39 | |
| 40 | |
| 41 | def subtract_metrics_tables(table, table_to_subtract): |
| 42 | result = {} |
| 43 | for method in table: |
| 44 | result[method] = table[method] |
| 45 | for method in table_to_subtract: |
| 46 | result[method]['Count'] = result[method]['Count'] - table_to_subtract[method]['Count'] |
| 47 | result[method]['Sum'] = result[method]['Sum'] - table_to_subtract[method]['Sum'] |
| 48 | return filter_null_metrics_from_metrics_table(result) |
| 49 | |
| 50 | |
| 51 | def filter_null_metrics_from_metrics_table(table): |
| 52 | result = {} |
| 53 | for method in table: |
| 54 | if table[method]['Count'] > 0: |
| 55 | result[method] = table[method] |
| 56 | return result |
| 57 | |
| 58 | |
| 59 | if __name__ == "__main__": |
| 60 | parser = argparse.ArgumentParser() |
| 61 | parser.add_argument('-a', '--metrics-after', |
| 62 | required=True, |
| 63 | help='path to metrics table to subtract from', |
| 64 | dest='tsvpath_after', |
| 65 | type=str) |
| 66 | parser.add_argument('-b', '--metrics-before', |
| 67 | required=True, |
| 68 | help='path to metrics table to subtract', |
| 69 | dest='tsvpath_before', |
| 70 | type=str) |
| 71 | parser.add_argument('-o', '--output', |
| 72 | required=True, |
| 73 | help='path to output metrics table', |
| 74 | dest='outpath', |
| 75 | type=str) |
| 76 | args = parser.parse_args() |
| 77 | table1 = load_metrics_table(args.tsvpath_before) |
| 78 | table2 = load_metrics_table(args.tsvpath_after) |
| 79 | table_diff = subtract_metrics_tables(table2, table1) |
| 80 | save_metrics_table(table_diff, args.outpath) |