Several minor enhancements
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@@ -0,0 +1,81 @@
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# find comments with estimations out of pre-planning
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# zisco 2021-09-30 19:50
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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 = 9
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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=24707') #, expand='changelog')
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#issues_Jql = jira_server.search_issues('key in (DKARB-140)') #, 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].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[1].isnumeric():
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subtask_ph = float(comment_line_parts[1]) * 0.5
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estimation_remark = ""
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else:
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subtask_ph = 0
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#logging.info(f"Effort {comment_line_sub_parts[0]}")
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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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@@ -7,6 +7,25 @@ import re
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import csv
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import xlsxwriter
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import logging
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from bisect import bisect_left
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def take_closest(myList, myNumber):
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"""
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Assumes myList is sorted. Returns closest value to myNumber.
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If two numbers are equally close, return the smallest number.
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"""
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pos = bisect_left(myList, myNumber)
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if pos == 0:
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return myList[0]
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if pos == len(myList):
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return myList[-1]
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before = myList[pos - 1]
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after = myList[pos]
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if after - myNumber < myNumber - before:
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return after
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else:
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return before
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def get_assignee(type, issue):
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isBuergerfrontend = False
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@@ -19,7 +38,7 @@ def get_assignee(type, issue):
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return 'reu9001'
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return 'thh9001'
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elif type.startswith('Test-Anpassung'):
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return 'ada9001'
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return 'osm9005'
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def create_subtask(issue, parent, type, subtask_sp, estimation_remark):
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escaped = issue.fields.summary.replace('"', r'\"')
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@@ -71,15 +90,15 @@ logging.basicConfig(filename='sub_task_generator.log',
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host = "https://jira.wien.gv.at/"
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pat = "OTAyMTM3MjY0MjE0Ovz6bu0ti1TlEdSegmmiWiJ2wGeD"
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sprint = 4
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sprint = 9
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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=22140') #, expand='changelog')
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#issues_Jql = jira_server.search_issues('key in (DKARB-34)') #, expand='changelog')
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issues_Jql = jira_server.search_issues('filter=24707') #, expand='changelog')
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#issues_Jql = jira_server.search_issues('key in (DKARB-140)') #, 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('Creating sub-tasks out of estimation of pre-planning sprint {}'.format(sprint))
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@@ -121,8 +140,12 @@ for issue in issues_Jql:
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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 = float(comment_line_parts[1]) * 0.5
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estimation_remark = ""
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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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if comment_line_sub_parts[0].strip() == "tbd":
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subtask_ph = take_closest([1,2,3,5,8,13,21,42], sp_sum/3)
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if comment_line_parts[0][:15] != "Test-Ausführung":
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create_subtask(issue,
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