# find comments with estimations out of pre-planning
# zisco 2021-09-30 19:50

from types import ClassMethodDescriptorType
from jira import JIRA, Issue, Comment, exceptions
import re
import csv
import xlsxwriter
import logging

logging.basicConfig(filename='sprint efforts.log', 
                    filemode='a', 
                    format='%(asctime)s - %(levelname)s: %(message)s', 
                    level=logging.INFO,
                    encoding='utf-8')

host = "https://jira.wien.gv.at/"
pat = "OTAyMTM3MjY0MjE0Ovz6bu0ti1TlEdSegmmiWiJ2wGeD"
sprint = 9

headers = JIRA.DEFAULT_OPTIONS["headers"].copy()
headers["Authorization"] = f"Bearer {pat}"
jira_server = JIRA(server=host, options={"headers": headers})

# use filter or single issue
issues_Jql = jira_server.search_issues('filter=24707') #, expand='changelog')
#issues_Jql = jira_server.search_issues('key in (DKARB-140)') #, expand='changelog')
#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')

logging.info('Sum effort stored in issue-comments of pre-planning sprint {}'.format(sprint))
xsp = lambda s: s or 0

issue: Issue
for issue in issues_Jql:
    #logging.info('Working on {}'.format(issue))
    sp_sum = 0

    # only Issues with empty (or 0) story-points
    sp = 0 
    if hasattr(issue.fields, 'customfield_10022'):
        sp = xsp(issue.fields.customfield_10022)

    single_issue = jira_server.issue(issue.key)
    comments =  single_issue.fields.comment.comments

    # Find all comments made by me on this issue.
    for comment in comments:
        comment_lines = comment.body.splitlines()

        if len(comment_lines) == 5:
            if comment_lines[0][:5] == "Dev B":
                for comment_line in comment_lines:
                    if comment_line != "":
                        logging.info(f"{comment_line}")
                        # pos = comment_lines[2].find('NN')
                        comment_line_parts = comment_line.split(':')

                        if len(comment_line_parts) == 2:
                            if comment_line_parts[1] != u'\xa0':    # empty string
                                if (comment_line_parts[1][-2:] != 'NN') and (comment_line_parts[1][-1:] != '-'):      # NN means NotNecessary
                                    comment_line_sub_parts = comment_line_parts[1].split(' (')
                                    if len(comment_line_sub_parts)>1:
                                        if comment_line_sub_parts[0].isnumeric():
                                            subtask_ph = float(comment_line_sub_parts[0]) * 0.5
                                            estimation_remark = comment_line_sub_parts[1]
                                        else:
                                            subtask_ph = 0
                                    else:
                                        if comment_line_sub_parts[1].isnumeric():
                                            subtask_ph = float(comment_line_parts[1]) * 0.5
                                            estimation_remark = ""
                                        else:
                                            subtask_ph = 0
                                    #logging.info(f"Effort {comment_line_sub_parts[0]}")
                                    sp_sum += subtask_ph / 0.5 
            try:
                if sp != sp_sum:
                    logging.info(f"Estimated story-points changed to Sum(Sub-Tasks story-points): {sp_sum}")

            except exceptions.JIRAError:
                logging.error("Issue {} has no (visible) Story Points-attribute".format(issue.key))