基于jira的缺陷自动化报表分析 （七）matplotlib 饼图：缺陷类型分布

接上文 基于jira的缺陷自动化报表分析 （七）matplotlib 饼图：缺陷严重性分布 继续绘制缺陷类型分布饼图

 

一、统计数据

1、准备统计缺陷类型SQL

2、查询缺陷类型分布数据，绘制饼状图

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('项目{}最近{}周缺陷类型占比分布图统计完成'.format(self.project_name, self.weeks))
    else:
        print('项目{}最近{}周未验证缺陷，无法统计缺陷类型占比分布图'.format(self.project_name, self.weeks))

二、执行统计，查看结果

c = Cake(project_name, test_jira, first_day, last_day, types, weeks, project_report_path)
c.cake_issue_type()  # (项目)缺陷类型分布