我正在参加Trae「超级体验官」创意实践征文，本文所使用的 Trae 免费下载链接：[www.trae.com.cn/?utm_source...] (www.trae.com.cn/?utm_source... "www.trae.com.cn/?utm_source...")
需求整理
- 每周把jira-未解决的问题筛选出来，发送到对应项目群中，提醒大家解决
- 每周jira-需求，待上线的内容整理出来，发动到团队群中，告知大家本周上线内容
步骤一：安装trae
步骤二：配置config.yaml
yaml
jira:
server: "公司jira的server"
api_token: "jira的api_token"
timeout: 60 # 可选参数，超时时间
bug_jql: jira的bugjql
demands_jql: jira的需求jql
feishu:
webhook: 飞书机器人的webhook地址步骤三：使用trae一步一步完成整个需求
1. jira获取数据：帮我写一个方法，通过jql获取jira数据，其中jira的信息从config获取
python
def _load_config(self):
"""
加载config数据
:return:
"""
base_dir = os.path.dirname(os.path.abspath(__file__))
config_path = os.path.join(os.path.dirname(base_dir), 'config', 'config.yaml')
with open(config_path) as f:
return yaml.safe_load(f)
def get_jira_by_jql(self, jql, limit=500):
"""
获取jira数据
:param jql:
:param limit: 默认500
:return:
"""
url = f"{self.config['jira']['server']}/rest/api/2/search"
headers = {
"Accept": "application/json",
'Authorization': self.config['jira']['api_token']
}
response = requests.get(
url,
headers=headers,
params={
'jql': jql,
'maxResults': limit
},
timeout=self.config['jira']['timeout']
)
jira_data = response.json()["issues"]
return jira_data2. 解析jira-bug：根据congif中的bug_jql，获取jira数据，返回总数、状态分布、经办人分布
python
def analyze_bug_jira(self):
"""
分析BUG类Jira数据并返回统计信息
Returns:
dict: 包含总数、状态分布、经办人分布的字典
"""
try:
jql = self.config['jira']['bug_jql']
issues = self.get_jira_by_jql(jql)
status_dist = {}
assignee_dist = {}
for issue in issues:
# 统计状态分布
status = issue['fields']['status']['name']
status_dist[status] = status_dist.get(status, 0) + 1
# 统计经办人分布
assignee = issue['fields'].get('assignee')
assignee_name = assignee['displayName'] if assignee else "Unassigned"
assignee_dist[assignee_name] = assignee_dist.get(assignee_name, 0) + 1
return {
"total": len(issues),
"status_distribution": status_dist,
"assignee_distribution": assignee_dist
}
except KeyError as e:
logging.error(f"配置缺少必要参数: {str(e)}")
return {}
except Exception as e:
logging.error(f"数据分析失败: {str(e)}")
return {}3. 解析jira-需求：根据congif中的demands_jql，获取jira-key，jira-概要，以及每条jira上关联的产品负责人、经办人、测试负责人
python
def analyze_demand_jira(self):
"""
获取需求类Jira数据并返回结构化信息
Returns:
dict: 包含总数和需求详情的字典
"""
try:
jql = self.config['jira']['demands_jql']
issues = self.get_jira_by_jql(jql)
demands = []
for issue in issues:
# 获取负责人信息（根据实际字段调整）
assignee = issue['fields'].get('assignee', {}).get('displayName', 'Unassigned')
product_owner = issue['fields'].get('customfield_12345', {}).get('value', 'N/A') # 替换为实际产品负责人字段
test_owner = issue['fields'].get('customfield_67890', {}).get('value', 'N/A') # 替换为实际测试负责人字段
demands.append({
"jira_key": issue['key'],
"summary": issue['fields']['summary'],
"product_owner": product_owner,
"assignee": assignee,
"test_owner": test_owner
})
return {
"total": len(demands),
"demands": demands
}
except KeyError as e:
logging.error(f"配置或字段缺失: {str(e)}")
return {}
except Exception as e:
logging.error(f"需求数据解析失败: {str(e)}")
return {}4. 发送飞书bug通知：根据congif中的jira-webhook，发送bug的飞书消息，格式如下
本周未解决oncall共××个
状态分布为：排查中××个，开发中××个，测试中××个，暂不解决××个
负责人分布为：经办人统计
python
def send_bug_report_to_feishu(self):
"""
发送BUG统计报告到飞书
"""
try:
stats = self.analyze_bug_jira()
webhook_url = self.config['jira']['feishu_webhook']
# 构建消息内容
status_counts = [
f"{status}×{count}个"
for status, count in stats['status_distribution'].items()
]
assignee_counts = [
f"{assignee}×{count}个"
for assignee, count in stats['assignee_distribution'].items()
]
message = {
"msg_type": "post",
"content": {
"post": {
"zh_cn": {
"title": "本周Oncall未解决BUG统计",
"content": [
[{
"tag": "text",
"text": f"本周未解决oncall共{stats['total']}个\n"
f"状态分布为：{'，'.join(status_counts)}\n"
f"负责人分布为：{'，'.join(assignee_counts)}\n"
"@所有人"
}]
]
}
}
}
}
# 发送飞书消息
response = requests.post(
webhook_url,
json=message,
timeout=10
)
response.raise_for_status()
except KeyError as e:
logging.error(f"缺少必要配置项: {e}")
except Exception as e:
logging.error(f"飞书消息发送失败: {str(e)}")5. 发送飞书需求通知：根据congif中的jira-webhook，发送需求的飞书消息，格式如下
本周上线内容如下： 需求： jira-KEY，内容，安特产品、经办人、测试人员
bug： jira-KEY，内容，安特经办人、测试人员
产品及时验收，对应开发检查下有没有遗漏代码，对应测试及时回归
python
def send_demand_report_to_feishu(self):
"""
发送需求上线报告到飞书
"""
try:
demand_data = self.analyze_demand_jira()
bug_data = self.analyze_bug_jira()
webhook_url = self.config['jira']['feishu_webhook']
# 构建消息内容
demand_lines = [
f"{d['jira_key']}，{d['summary']}，产品：{d['product_owner']}，开发：{d['assignee']}，测试：{d['test_owner']}"
for d in demand_data.get('demands', [])
]
bug_lines = [
f"{issue['key']}，{issue['fields']['summary']}，经办：{issue['fields'].get('assignee', {}).get('displayName', 'Unassigned')}，测试：{self._get_test_owner(issue)}"
for issue in self.get_jira_by_jql(self.config['jira']['bug_jql'])
]
message = {
"msg_type": "post",
"content": {
"post": {
"zh_cn": {
"title": "本周上线内容通知",
"content": [
[{
"tag": "text",
"text": "📢 本周上线内容如下：\n\n"
"✅ 需求：\n" + "\n".join(demand_lines) + "\n\n"
"🐞 Bug：\n" + "\n".join(bug_lines) + "\n\n"
"⚠️ 提醒：\n"
"1. 产品及时验收\n"
"2. 开发检查代码是否遗漏\n"
"3. 测试及时回归验证\n"
"@所有人"
}]
]
}
}
}
}
# 发送飞书消息
response = requests.post(
webhook_url,
json=message,
timeout=10
)
response.raise_for_status()
except KeyError as e:
logging.error(f"缺少必要配置项: {e}")
except Exception as e:
logging.error(f"飞书消息发送失败: {str(e)}")
步骤四：调试并改bug
很意外，就一个问题，然后就跑通了！！！
报错1：ERROR:root:飞书消息发送失败: 'JiraReporter' object has no attribute '_get_test_owner'
图一是我跑通的图，图二是我整个调试的终端，很快就通了，图三是trae帮我改的bug
