How to use get_metric_widget_image method in localstack

Best Python code snippet using localstack_python

cloudwatch.py

Source: cloudwatch.py Github

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...58 ec2_image["metrics"].append(59 ["AWS/​EC2", "CPUUtilization", "InstanceId", instanceid])60 ec2_status_instance["metrics"].append(61 ["AWS/​EC2", "StatusCheckFailed_Instance", "InstanceId", instanceid, {"stat": "Sum"}])62 response = cloudwatch.get_metric_widget_image(63 MetricWidget=json.dumps(ec2_image))64 response_status = cloudwatch.get_metric_widget_image(65 MetricWidget=json.dumps(ec2_status_instance))66 ec2_image_encode = (base64.b64encode(bytes(response["MetricWidgetImage"])))67 ec2_image_final = ec2_image_encode.decode()68 ec2_instance_image_encode = (base64.b64encode(69 bytes(response_status["MetricWidgetImage"])))70 ec2_instance_image_final = ec2_instance_image_encode.decode()71 metrics.append({"cpuutilization": ec2_image_final,72 "instance_status": ec2_instance_image_final})73 return jsonify(metrics)74@cloudwatch_bp.route('/​cloudwatch/​metrics/​rds')75def get_metric_widget_image_rds():76 region = request.args.get('region')77 cloudwatch = boto3.client('cloudwatch', region_name=region)78 metrics = []79 # rds_connections_image = """{{80 # "metrics": [["AWS/​RDS", "DatabaseConnections"]],81 # "view": "singleValue",82 # "stacked": false,83 # "region": "{region}",84 # "stat": "Average",85 # "period": 300,86 # "start": "-PT3H",87 # "end": "P0D",88 # "title": "RDS DB Connections"89 # }}""".format(region=region)90 rds_connections_image = {91 "view": "timeSeries",92 "stacked": False,93 "metrics": [],94 "width": 600,95 "height": 300,96 "start": "-PT3H",97 "end": "P0D",98 "title": "RDS DB Connections",99 }100 rds_cpu_image = {101 "view": "timeSeries",102 "stacked": False,103 "metrics": [],104 "width": 600,105 "height": 300,106 "start": "-PT3H",107 "end": "P0D",108 "title": "RDS CPU Utilization",109 }110 for rds_identifier in get_rds_id(region):111 rds_connections_image["metrics"].append(112 ["AWS/​RDS", "DatabaseConnections", "DBInstanceIdentifier", rds_identifier])113 rds_cpu_image["metrics"].append(114 ["AWS/​RDS", "CPUUtilization", "DBInstanceIdentifier", rds_identifier])115 response_conn = cloudwatch.get_metric_widget_image(116 MetricWidget=json.dumps(rds_connections_image))117 response_cpu = cloudwatch.get_metric_widget_image(118 MetricWidget=json.dumps(rds_cpu_image))119 rds_cpu_image_encode = (120 base64.b64encode(bytes(response_cpu["MetricWidgetImage"])))121 rds_cpu_image_final = rds_cpu_image_encode.decode()122 rds_connections_image_encode = (123 base64.b64encode(bytes(response_conn["MetricWidgetImage"])))124 rds_connections_image_final = rds_connections_image_encode.decode()125 metrics.append({"DbConnections": rds_connections_image_final,126 "CPUUtilization": rds_cpu_image_final})...

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workerListService.py

Source: workerListService.py Github

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...15 instances = []16 instance_id = "i-0b1961797c1693607"17 instances.append(instance_id)18 CPUUtilization_REQUEST["metrics"][0][3] = instance_id19 cpu_response = self.CLOUD_WATCH.get_metric_widget_image(MetricWidget=json.dumps(CPUUtilization_REQUEST))20 cpu_chart = base64.b64encode(cpu_response['MetricWidgetImage']).decode("utf-8")21 cpu_charts.append(cpu_chart)22 Requests_bulabula["metrics"][0][3] = instance_id23 Requests_in_response = self.CLOUD_WATCH.get_metric_widget_image(24 MetricWidget=json.dumps(Requests_bulabula))25 RequestCount_in_chart = base64.b64encode(Requests_in_response['MetricWidgetImage']).decode("utf-8")26 request_charts.append(RequestCount_in_chart)27 return instances, cpu_charts, request_charts28 def get_charts(self):29 target_group = self.CLIENT.describe_target_health(TargetGroupArn=current_app.config["TARGET_GROUP_ARN"])30 cpu_charts = []31 request_charts = []32 instances = []33 for target in target_group['TargetHealthDescriptions']:34 if target['TargetHealth']['State'] != 'draining':35 instance_id = target['Target']['Id']36 instances.append(instance_id)37 CPUUtilization_REQUEST["metrics"][0][3] = instance_id38 cpu_response = self.CLOUD_WATCH.get_metric_widget_image(MetricWidget=json.dumps(CPUUtilization_REQUEST))39 cpu_chart = base64.b64encode(cpu_response['MetricWidgetImage']).decode("utf-8")40 cpu_charts.append(cpu_chart)41 # Hidden42 # NETWORK_PACKETS_IN_REQUEST["metrics"][0][3] = instance_id43 # network_packets_in_response = self.CLOUD_WATCH.get_metric_widget_image(44 # MetricWidget=json.dumps(NETWORK_PACKETS_IN_REQUEST))45 # network_packet_in_chart = base64.b64encode(network_packets_in_response['MetricWidgetImage']).decode("utf-8")46 # network_packets_in_charts.append(network_packet_in_chart)47 #LoadBalancer RequestCount48 #RequestCount_IN_REQUEST["metrics"][0][3] = instance_id49 # RequestCount_in_response = self.CLOUD_WATCH.get_metric_widget_image(50 # MetricWidget=json.dumps(RequestCount_IN_REQUEST))51 # RequestCount_in_chart = base64.b64encode(RequestCount_in_response['MetricWidgetImage']).decode("utf-8")52 # RequestCount_in_charts.append(RequestCount_in_chart)53 Requests_bulabula["metrics"][0][3] = instance_id54 Requests_in_response = self.CLOUD_WATCH.get_metric_widget_image(55 MetricWidget=json.dumps(Requests_bulabula))56 RequestCount_in_chart = base64.b64encode(Requests_in_response['MetricWidgetImage']).decode("utf-8")57 request_charts.append(RequestCount_in_chart)...

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app.py

Source: app.py Github

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...19 bucket.download_file(config_key, config_path)20 with open(config_path, "r") as f:21 config = yaml.load(f, Loader=yaml.SafeLoader)22 return config23def get_metric_widget_image(item):24 params = item.copy()25 if params.get('start'):26 params['start'] = (datetime.datetime.now() - datetime.timedelta(minutes=int(item.get('start')))).isoformat()27 return cw.get_metric_widget_image(MetricWidget=json.dumps(params))28def get_message(format, item, image) -> str:29 return f"{{{format}}}".format(hex_image=image.hex(), title=item.get('title') or "")30def notify(message: str, topic: str):31 res = sns.publish(32 TopicArn=topic,33 Message=message,34 )35 logger.info(res)36 return res37def lambda_handler(event, context):38 config = get_config(config_bucket, config_key)39 global logger40 logger = log.get_logger(config.get('log_level'))41 items = config['items']42 format = config['message_format']43 for item in items:44 metric_image = get_metric_widget_image(item)45 message = get_message(format, item, metric_image['MetricWidgetImage'])46 notify(message, target_topic)47 return {48 'isBase64Encoded': False,49 'statusCode': 200,50 'headers': {},51 'body': {}...

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