Revert "E0d/ops 680a"

playbooks/callback_plugins/datadog_tasks_timing.py

-import os
-import datetime
-import time
-import logging
-import datadog
-
-logging.basicConfig(level=logging.INFO)
-logger = logging.getLogger(__name__)
-
-"""
-Originally written by 'Jharrod LaFon'
-#https://github.com/jlafon/ansible-profile/blob/master/callback_plugins/profile_tasks.py
-
-"""
-
-
-class CallbackModule(object):
-
-    """
-
-    Ansible plugin get the time of each task and total time to run the complete playbook
-
-    """
-    def __init__(self):
-        self.stats = {}
-        self.current_task = None
-        self.datadog_api_key = os.getenv('DATADOG_API_KEY')
-        self.datadog_app_key = os.getenv('DATADOG_APP_KEY')
-        self.datadog_api_initialized = False
-
-        if self.datadog_api_key and self.datadog_app_key:
-            datadog.initialize(api_key=self.datadog_api_key,
-                               app_key=self.datadog_app_key)
-            self.datadog_api_initialized = True
-
-    def playbook_on_task_start(self, name, is_conditional):
-
-        """
-        Logs the start of each task 
-        """
-
-        if self.current_task is not None:
-            # Record the running time of the last executed task
-            self.stats[self.current_task] = (time.time(), time.time() - self.stats[self.current_task])
-
-        # Record the start time of the current task
-        self.current_task = name
-        self.stats[self.current_task] = time.time()
-
-    def playbook_on_stats(self, stats):
-
-        """
-        Prints the timing of each task and total time to run the complete playbook
-        """
-
-        # Record the timing of the very last task, we use it here, because we don't have stop task function by default
-        if self.current_task is not None:
-            self.stats[self.current_task] = (time.time(), time.time() - self.stats[self.current_task])
-
-        # Sort the tasks by their running time
-        results = sorted(self.stats.items(), key=lambda value: value[1][1], reverse=True)
-
-        # Total time to run the complete playbook
-        total_seconds = sum([x[1][1] for x in self.stats.items()])
-
-        # send the metric to datadog
-        if self.datadog_api_initialized:
-            for name, points in results:
-                datadog.api.Metric.send(
-                    metric="edx.ansible.{0}.task_duration".format(name.replace(" | ", ".").replace(" ", "-").lower()),
-                    date_happened=[0],
-                    points=points[1],
-                )
-            datadog.api.Metric.send(
-                metric="edx.ansible.play_duration",
-                date_happened=time.time(),
-                points=total_seconds,
-            )
-
-        # Log the time of each task
-        for name, elapsed in results:
-            logger.info(
-                "{0:-<80}{1:->8}".format(
-                    '{0} '.format(name),
-                    ' {0:.02f}s'.format(elapsed[1]),
-                )
-            )
-
-        logger.info("\nPlaybook finished: {0}, {1} total tasks.  {2} elapsed. \n".format(
-                time.asctime(),
-                len(self.stats.items()),
-                datetime.timedelta(seconds=(int(total_seconds)))
-                )
-          )

requirements.txt

@@ -17,4 +17,3 @@ pymongo==3.1
 
 # Needed for the mysql_db module
 MySQL-python==1.2.5
-datadog==0.8.0