108 lines
4.8 KiB
Python
108 lines
4.8 KiB
Python
# find comments with estimations out of pre-planning
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# zisco 2021-09-30 19:50
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# TODO: Excel export
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from types import ClassMethodDescriptorType
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from jira import JIRA, Issue, Comment, exceptions
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import re
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import csv
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import xlsxwriter
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import logging
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logging.basicConfig(filename='sprint efforts.log',
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filemode='a',
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format='%(asctime)s - %(levelname)s: %(message)s',
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level=logging.INFO,
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encoding='utf-8')
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host = "https://jira.wien.gv.at/"
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pat = "OTAyMTM3MjY0MjE0Ovz6bu0ti1TlEdSegmmiWiJ2wGeD"
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sprint = 1
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project = 'WRWGR3'
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row = 0; col = 0
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workbook = xlsxwriter.Workbook(f'efforts {project} sprint {sprint} (from comment).xlsx')
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worksheet = workbook.add_worksheet('efforts')
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cell_format = workbook.add_format()
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cell_format.set_bold()
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worksheet.write(row, col, 'Story' , cell_format)
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worksheet.write(row, col + 1, 'Sub-Task' , cell_format)
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worksheet.write(row, col + 2, 'Summary' , cell_format)
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worksheet.write(row, col + 3, 'timeoriginalestimate', cell_format)
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worksheet.write(row, col + 4, 'SP' , cell_format)
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worksheet.write(row, col + 5, 'PT' , cell_format)
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row += 1
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headers = JIRA.DEFAULT_OPTIONS["headers"].copy()
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headers["Authorization"] = f"Bearer {pat}"
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jira_server = JIRA(server=host, options={"headers": headers})
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# use filter or single issue
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#issues_Jql = jira_server.search_issues('filter=25827') #, expand='changelog')
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issues_Jql = jira_server.search_issues('key in (WRGWR-2838, WRGWR-2839)') #, expand='changelog')
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#issues_Jql = jira_server.search_issues('labels in (Refinement11012022) AND type not in (Bug) AND status not in (Done) and ("Story Points" is EMPTY or "Story Points" = 0)') #, expand='changelog')
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logging.info('Sum effort stored in issue-comments of pre-planning sprint {}'.format(sprint))
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xsp = lambda s: s or 0
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issue: Issue
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for issue in issues_Jql:
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#logging.info('Working on {}'.format(issue))
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sp_sum = 0
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# only Issues with empty (or 0) story-points
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sp = 0
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if hasattr(issue.fields, 'customfield_10022'):
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sp = xsp(issue.fields.customfield_10022)
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single_issue = jira_server.issue(issue.key)
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comments = single_issue.fields.comment.comments
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# Find all comments made by me on this issue.
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for comment in comments:
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comment_lines = comment.body.splitlines()
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if len(comment_lines) == 5:
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if comment_lines[0][:5] == "Dev B":
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for comment_line in comment_lines:
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if comment_line != "":
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logging.info(f"{comment_line}")
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# pos = comment_lines[2].find('NN')
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comment_line_parts = comment_line.split(':')
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if len(comment_line_parts) == 2:
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if comment_line_parts[1] != u'\xa0': # empty string
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if (comment_line_parts[1][-2:] != 'NN') and (comment_line_parts[1][-1:] != '-'): # NN means NotNecessary
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comment_line_sub_parts = comment_line_parts[1].split(' (')
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if len(comment_line_sub_parts)>1:
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if comment_line_sub_parts[0].strip().isnumeric():
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subtask_ph = float(comment_line_sub_parts[0]) * 0.5
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estimation_remark = comment_line_sub_parts[1]
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else:
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subtask_ph = 0
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else:
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if comment_line_sub_parts[0].strip().isnumeric():
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subtask_ph = float(comment_line_sub_parts[0]) * 0.5
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estimation_remark = ""
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else:
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subtask_ph = 0
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worksheet.write(row, col, issue.key)
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worksheet.write(row, col + 1, 'na')
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worksheet.write(row, col + 2, comment_line_parts[0])
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worksheet.write(row, col + 3, 'na')
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worksheet.write(row, col + 4, subtask_ph)
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worksheet.write(row, col + 5, f'=E{row + 1}/0.5')
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row += 1
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sp_sum += subtask_ph / 0.5
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try:
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if sp != sp_sum:
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logging.info(f"Estimated story-points changed to Sum(Sub-Tasks story-points): {sp_sum}")
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except exceptions.JIRAError:
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logging.error("Issue {} has no (visible) Story Points-attribute".format(issue.key))
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worksheet.autofit()
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workbook.close() |