Python调用阿里云接口，实现数据清洗与异常监控功能

import requestsimport json# 设置阿里云DataWorks API的URL和参数url = 'https://api.dataworks.aliyuncs.com/'headers = {'Content-Type': 'application/json'}# 设置需要清洗的数据集的名称和IDproject_name = 'your_project_name'project_id = 'your_project_id'data_set_name = 'your_data_set_name'data_set_id = 'your_data_set_id'# 设置清洗规则，比如删除含有缺失值的行cleaning_rule = {    "action": "DELETE",    "columnIndices": [1, 2],    "condition": "$col2 == ''"}data = {    "projectName": project_name,    "projectIdentifier": project_id,    "content": json.dumps({        "action": "CreateOrUpdateCleaningRule",        "parameters": {            "projectName": project_name,            "projectIdentifier": project_id,            "nodeId": data_set_id,            "cleaningRuleType": "ALL",            "cleaningRuleName": "cleaning_rule",            "cleaningRuleDescription": "Data Cleaning Rule",            "cleaningRuleScriptContent": json.dumps(cleaning_rule)        }    })}# 调用阿里云DataWorks接口进行数据清洗response = requests.post(url, headers=headers, data=json.dumps(data))print(response.json())

import requestsimport json# 设置阿里云CloudMonitor API的URL和参数url = 'http://metrics.aliyuncs.com/'headers = {'Content-Type': 'application/json'}# 设置需要监控的指标和阈值metric = 'your_metric'namespace = 'your_namespace'dimensions = [{'instanceId': 'your_instance_id'}]threshold = {    "times": 1,    "value": 100}data = {    "Action": "CreateAlarm",    "Product": "cms",    "Version": "2019-01-01",    "MetricList": [{        "MetricName": metric,        "Namespace": namespace,        "Dimensions": dimensions    }],    "AlarmName": "alarm_name",    "AlarmDesc": "Alarm Description",    "AlarmActions": ["your_action"],    "Thresholds": [threshold]}# 调用阿里云CloudMonitor接口进行异常监控response = requests.post(url, headers=headers, data=json.dumps(data))print(response.json())