Jira-based defect automated report analysis (7) matplotlib pie chart: defect type distribution

Continued from the above  Jira-based defect automated report analysis (7) matplotlib pie chart: Defect severity distribution  continues to draw defect type distribution pie chart

 

1. Statistics

1. Prepare statistical defect type SQL

2. Query the distribution data of defect types and draw a pie chart

def cake_issue_type(self):
    """
    :return:
    """
    sql = """
        SELECT
        issue_type,
        COUNT(id) AS counts
        FROM
            `jira_issues`
        WHERE
            project = '{}'
        AND issuetype = '故障'
        GROUP BY
            issue_type;
    """.format(self.project_name)
    datas = MysqlUntil().mysql_select(sql)
    # 开发人员以及各严重等级BUG数量
    issue_type, counts = [], []
    for data in datas:
        issue_type.append(data['issue_type'])
        counts.append(int(data['counts']))
    if issue_type:
        Draw(self.report_path).drawing_cake(counts, issue_type, self.project_name, 
                                            'Issues Type Distribution (ALL CYCLE)') 
        print('Project {}Recent {} week defect type distribution graph statistics completed'.format(self .project_name, self.weeks)) 
    else: 
        print('Project {} has not verified defects in recent {} weeks, and cannot calculate the distribution of defect types'.format(self.project_name, self.weeks))

2. Perform statistics and view results

c = Cake(project_name, test_jira, first_day, last_day, types, weeks, project_report_path) 
c.cake_issue_type() # (project) defect type distribution