python如何获取Prometheus监控数据

def getTargetsStatus(address):
    url = address + '/api/v1/targets'
    response = requests.request('GET', url)
    if response.status_code == 200:
        targets = response.json()['data']['activeTargets']
        aliveNum, totalNum = 0, 0
        downList = []
        for target in targets:
            totalNum += 1
            if target['health'] == 'up':
                aliveNum += 1
            else:
                downList.append(target['labels']['instance'])
        print('-----------------------TargetsStatus--------------------------')
        print(str(aliveNum) + ' in ' + str(totalNum) + ' Targets are alive !!!')
        print('--------------------------------------------------------------')
        for down in downList:
            print('\033[31m\033[1m' + down + '\033[0m' + ' down !!!')
        print('-----------------------TargetsStatus--------------------------')
    else:
        print('\033[31m\033[1m' + 'Get targets status failed!' + '\033[0m')

### 定义cpu、mem、disks使用率的空字典
diskUsageDict = {}
cpuUsageDict = {}
memUsageDict = {}
### 定义采集时间间隔 s
monitorInterval = 5
### 定义超时告警时间 s
diskAlertTime = 5
cpuAlertTime = 300
memAlertTime = 300
### 定义告警阈值 %
diskThreshold = 80
cpuThreshold = 60
memThreshold = 70
def queryUsage(address, expr):
    url = address + '/api/v1/query?query=' + expr
    try:
        return json.loads(requests.get(url=url).content.decode('utf8', 'ignore'))
    except Exception as e:
        print(e)
        return {}
def orderUsageDict(usageDict, currentTime, monitorInterval):
    '''
    :param usageDict: 资源使用率字典
    :param usageDict: 资源使用率字典
    :param currentTime: 当前获取监控数据的时间节点
    :return:
    :description: 剔除字典中不满足连续超出阈值的数据
    '''
    for key in list(usageDict.keys()):
        if currentTime - usageDict[key][1] >= monitorInterval:
            usageDict.pop(key)
def getCurrentUsageGreater(address, record, threshold, usageDict, monitorInterval):
    '''
    :param address: Prometheus address
    :param record: Prometheus rules record
    :param threshold: 阈值
    :param usageDict: 资源使用率字典
    :param monitorInterval: 监控时间间隔
    :return:
    :description: 获取资源使用率大于阈值的数据
    '''
    expr = record + '>=' + str(threshold)
    usage = queryUsage(address=address, expr=expr)
    currentTime = 0
    if 'data' in usage and usage['data']['result']:
        for metric in usage['data']['result']:
            instance = metric['metric']['instance']
            if record == 'node:fs_usage:ratio' or record == 'node:fs_root_usage:ratio':
                metricLabel = instance + ':' + metric['metric']['mountpoint']
            else:
                metricLabel = instance
            utctime = metric['value'][0]
            value = metric['value'][1]
            describe = record.split(':')[1]
            if not metricLabel in usageDict.keys():
                usageDict[metricLabel] = (utctime, utctime, describe, value)
            else:
                startTime = usageDict.get(metricLabel)[0]
                usageDict[metricLabel] = (startTime, utctime, describe, value)
            currentTime = utctime
    orderUsageDict(usageDict=usageDict, currentTime=currentTime, monitorInterval=monitorInterval)
def printUsageDict(usageDict, alertTime):
    '''
    :param usageDict: 资源使用率字典
    :param alertTime: 监控告警时间
    :return:
    :description: 打印出超过监控告警时间的数据
    '''
    for key, value in usageDict.items():
        deltaT = value[1] - value[0]
        if deltaT >= alertTime:
            print(key + ' ----- ' + value[2] + '\033[31m\033[1m ' + str(value[3]) + '\033[0m ----- lasted for\033[31m\033[1m %.2f \033[0mseconds' % deltaT)
def monitorUsageGreater(address):
    '''
    :param address: Prometheus address
    :return:
    :description: 持续监控并输出数据
    '''
    while True:
        getCurrentUsageGreater(address, 'node:fs_usage:ratio', diskThreshold, diskUsageDict, monitorInterval)
        printUsageDict(diskUsageDict, alertTime=diskAlertTime)
        getCurrentUsageGreater(address, 'node:memory_usage:ratio', cpuThreshold, memUsageDict, monitorInterval)
        printUsageDict(memUsageDict, alertTime=memAlertTime)
        getCurrentUsageGreater(address, 'node:cpu_usage:ratio', memThreshold, cpuUsageDict, monitorInterval)
        printUsageDict(cpuUsageDict, alertTime=cpuAlertTime)
        time.sleep(monitorInterval)

		String paramValue="http_requests_total";
//HTTP客户端连接工具
        CloseableHttpClient httpClient=HttpClients.createDefault();
        //参数里有特殊字符，不能直接写成String（会报Illegal Character错误），用URIBuilder构造。
        URIBuilder uri=null;
        HttpGet get =null;
        try {
            //一对参数，使用addParameter(param: ,value:)这个方法添加参数。
            //若多对参数，使用第二种方法（但其实在这里没有这种情况）：uri.addParameters(List<NameValuePair>);
            //这里的ip，port换成你的Prometheus的ip+port。paramValue要自己定义，比如http_request_total
            uri=new URIBuilder("http://ip:port/api/v1/query");
            uri.addParameter("query",paramValue);
            //uri此时是http://ip:port/api/v1/query?query=http_requests_total
            get=new HttpGet(uri.build());
        } catch (URISyntaxException e) {
            e.printStackTrace();
        }
        JSONObject jsonObject=null;
        CloseableHttpResponse response=null;
        try {
            // 执行请求并接收+转换  得到jsonObject就可以解析了。
            response = httpClient.execute(get);
            String resStr= EntityUtils.toString(response.getEntity(),"UTF-8");
            jsonObject=JSONObject.parseObject(resStr);

http://ip:port/api/v1/query?query=

html = urllib.request.urlopen('http://ip:port/api/v1/query?query=count(node_cpu_seconds_total{job="%s",mode="idle"})' %(s))
data = html.read().decode("utf-8")
json = json.loads(data)

http://ip:port/api/v1/query_range?query=avg(1-avg(rate(node_cpu_seconds_total{job="%s",mode="idle"}[5m]))by(instance))&start='+start+'&end='+end+'&step=15s

now = datetime.datetime.now()
start = datetime.datetime(now.year, now.month, 1)
end = datetime.datetime(now.year, now.month, 8)
# 格式转换：yyyy-mm-ddThh:MM:ssZ
start_trans = "T".join(str(start).split(" "))+"Z"
end_trans = "T".join(str(end).split(" "))+"Z"

now_time = datetime.datetime.now()
one_week_ago_time = now_time + datetime.timedelta(days=-7)
# 精确到毫秒
now = now_time.strftime("%Y-%m-%dT%H:%M:%S.%f")
one_week_ago = one_week_ago_time.strftime("%Y-%m-%dT%H:%M:%S.%f")
n = now[0:len(now)-7]+"Z"
one_week = one_week_ago[0:len(one_week_ago)-7]+"Z"