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Code Editor : __init__.py
#!/usr/bin/env python3 """ Python interface to JMX. Uses local jar to pass commands to JMX and read JSON results returned. """ import subprocess import os import json from typing import List from enum import Enum import logging # Full Path to Jar JAR_PATH = os.path.dirname(os.path.realpath(__file__)) + '/JMXQuery-0.1.8.jar' # Default Java path DEFAULT_JAVA_PATH = 'java' # Default timeout for running jar in seconds DEFAULT_JAR_TIMEOUT = 10 logger = logging.getLogger(__name__) class MetricType(Enum): COUNTER = 'counter' GAUGE = 'gauge' class JMXQuery: """ A JMX Query which is used to fetch specific MBean attributes/values from the JVM. The object_name can support wildcards to pull multiple metrics at once, for example '*:*' will bring back all MBeans and attributes in the JVM with their values. You can set a metric name if you want to override the generated metric name created from the MBean path """ def __init__(self, mBeanName: str, attribute: str = None, attributeKey: str = None, value: object = None, value_type: str = None, metric_name: str = None, metric_labels: dict = None): self.mBeanName = mBeanName self.attribute = attribute self.attributeKey = attributeKey self.value = value self.value_type = value_type self.metric_name = metric_name self.metric_labels = metric_labels def to_query_string(self) -> str: """ Build a query string to pass via command line to JMXQuery Jar :return: The query string to find the MBean in format: {mBeanName}/{attribute}/{attributeKey} Example: java.lang:type=Memory/HeapMemoryUsage/init """ query = "" if self.metric_name: query += self.metric_name if ((self.metric_labels != None) and (len(self.metric_labels) > 0)): query += "<" keyCount = 0 for key, value in self.metric_labels.items(): query += key + "=" + value keyCount += 1 if keyCount < len(self.metric_labels): query += "," query += ">" query += "==" query += self.mBeanName if self.attribute: query += "/" + self.attribute if self.attributeKey: query += "/" + self.attributeKey return query def to_string(self): string = "" if self.metric_name: string += self.metric_name if ((self.metric_labels != None) and (len(self.metric_labels) > 0)): string += " {" keyCount = 0 for key, value in self.metric_labels.items(): string += key + "=" + value keyCount += 1 if keyCount < len(self.metric_labels): string += "," string += "}" else: string += self.mBeanName if self.attribute: string += "/" + self.attribute if self.attributeKey: string += "/" + self.attributeKey string += " = " string += str(self.value) + " (" + self.value_type + ")" return string class JMXConnection(object): """ The main class that connects to the JMX endpoint via a local JAR to run queries """ def __init__(self, connection_uri: str, jmx_username: str = None, jmx_password: str = None, java_path: str = DEFAULT_JAVA_PATH): """ Creates instance of JMXQuery set to a specific connection uri for the JMX endpoint :param connection_uri: The JMX connection URL. E.g. service:jmx:rmi:///jndi/rmi://localhost:7199/jmxrmi :param jmx_username: (Optional) Username if JMX endpoint is secured :param jmx_password: (Optional) Password if JMX endpoint is secured :param java_path: (Optional) Provide an alternative Java path on the machine to run the JAR. Default is 'java' which will use the machines default JVM """ self.connection_uri = connection_uri self.jmx_username = jmx_username self.jmx_password = jmx_password self.java_path = java_path def __run_jar(self, queries: List[JMXQuery], timeout) -> List[JMXQuery]: """ Run the JAR and return the results :param query: The query :return: The full command array to run via subprocess """ command = [self.java_path, '-jar', JAR_PATH, '-url', self.connection_uri, "-json"] if (self.jmx_username): command.extend(["-u", self.jmx_username, "-p", self.jmx_password]) queryString = "" for query in queries: queryString += query.to_query_string() + ";" command.extend(["-q", queryString]) logger.debug("Running command: " + str(command)) jsonOutput = "[]" try: output = subprocess.run(command, stdout=subprocess.PIPE, stderr=subprocess.PIPE, timeout=timeout, check=True) jsonOutput = output.stdout.decode('utf-8') except subprocess.TimeoutExpired as err: logger.error("Error calling JMX, Timeout of " + str(err.timeout) + " Expired: " + err.output.decode('utf-8')) except subprocess.CalledProcessError as err: logger.error("Error calling JMX: " + err.output.decode('utf-8')) raise err logger.debug("JSON Output Received: " + jsonOutput) metrics = self.__load_from_json(jsonOutput) return metrics def __load_from_json(self, jsonOutput: str) -> List[JMXQuery]: """ Loads the list of returned metrics from JSON response :param jsonOutput: The JSON Array returned from the command line :return: An array of JMXQuerys """ if "\n" in jsonOutput: jsonOutput = jsonOutput.replace("\n", "") if "\t" in jsonOutput: jsonOutput = jsonOutput.replace("\t", "") jsonMetrics = json.loads(jsonOutput) metrics = [] for jsonMetric in jsonMetrics: mBeanName = jsonMetric['mBeanName'] attribute = jsonMetric['attribute'] attributeType = jsonMetric['attributeType'] metric_name = None if 'metricName' in jsonMetric: metric_name = jsonMetric['metricName'] metric_labels = None if 'metricLabels' in jsonMetric: metric_labels = jsonMetric['metricLabels'] attributeKey = None if 'attributeKey' in jsonMetric: attributeKey = jsonMetric['attributeKey'] value = None if 'value' in jsonMetric: value = jsonMetric['value'] metrics.append( JMXQuery(mBeanName, attribute, attributeKey, value, attributeType, metric_name, metric_labels)) return metrics def query(self, queries: List[JMXQuery], timeout=DEFAULT_JAR_TIMEOUT) -> List[JMXQuery]: """ Run a list of JMX Queries against the JVM and get the results :param queries: A list of JMXQuerys to query the JVM for :return: A list of JMXQuerys found in the JVM with their current values """ return self.__run_jar(queries, timeout)
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