|
7 | 7 |
|
8 | 8 | from gitmetrics.constants import ECOSYSTEM_COLUMN_NAME |
9 | 9 | from gitmetrics.output import create_spreadsheet, load_spreadsheet |
10 | | -from gitmetrics.time_utils import get_current_year, get_min_max_dt_in_year |
| 10 | +from gitmetrics.time_utils import get_current_year, get_dt_now_spelled_out, get_min_max_dt_in_year |
11 | 11 |
|
12 | 12 | dir_path = os.path.dirname(os.path.realpath(__file__)) |
13 | 13 |
|
|
16 | 16 |
|
17 | 17 | TOTAL_COLUMN_NAME = 'Total Since Beginning' |
18 | 18 | OUTPUT_FILENAME = 'GitHub_Summary' |
19 | | -SHEET_NAMES = ['Unique users', 'User issues', 'vendor-mapping'] |
| 19 | +SHEET_NAMES = ['Unique users', 'User issues', 'vendor-mapping', 'metainfo'] |
20 | 20 | START_YEAR = 2021 |
21 | 21 |
|
22 | 22 |
|
@@ -103,10 +103,16 @@ def summarize_metrics( |
103 | 103 | users_issues_df = append_row(users_issues_df, issues_row) |
104 | 104 |
|
105 | 105 | vendor_df = vendor_df.rename(columns={vendor_df.columns[0]: ECOSYSTEM_COLUMN_NAME}) |
| 106 | + runtime_data = { |
| 107 | + 'index': ['date'], |
| 108 | + 'value': [get_dt_now_spelled_out()], |
| 109 | + } |
| 110 | + metainfo_df = pd.DataFrame(runtime_data) |
106 | 111 | sheets = { |
107 | 112 | SHEET_NAMES[0]: unique_users_df, |
108 | 113 | SHEET_NAMES[1]: users_issues_df, |
109 | 114 | SHEET_NAMES[2]: vendor_df, |
| 115 | + SHEET_NAMES[3]: metainfo_df, |
110 | 116 | } |
111 | 117 | if verbose: |
112 | 118 | for sheet_name, df in sheets.items(): |
|
0 commit comments