import os from queue import Queue from random import random from apscheduler.schedulers.background import BackgroundScheduler from apscheduler.executors.pool import ProcessPoolExecutor from apscheduler.jobstores.base import JobLookupError from datetime import datetime import time import logging LOGGER = logging.getLogger(__name__) class SubscriptionManager(): def __init__(self, metrics_db): self.metrics_db = metrics_db self.scheduler = BackgroundScheduler(executors={'processpool': ProcessPoolExecutor(max_workers=20)}) self.scheduler.start() LOGGER.info("Subscription Manager Initialized") def create_subscription(self, subs_queue ,subscription_id, kpi_id, sampling_interval_s, sampling_duration_s=None, start_timestamp=None, end_timestamp=None): start_date=None end_date=None print("Inside create subscription") if sampling_duration_s: if not start_timestamp:# Copyright 2021-2023 H2020 TeraFlow (https://www.teraflow-h2020.eu/) # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. import logging from queue import Queue from random import random import pytz from apscheduler.schedulers.background import BackgroundScheduler from common.proto.monitoring_pb2 import Kpi, KpiList from common.tools.timestamp import Converters from common.tools.timestamp.Converters import timestamp_utcnow_to_float, timestamp_float_to_string from datetime import datetime import time from monitoring.service import MetricsDBTools from monitoring.service.ManagementDBTools import ManagementDB from monitoring.service.MetricsDBTools import MetricsDB LOGGER = logging.getLogger(__name__) class SubscriptionManager(): def __init__(self, metrics_db): self.metrics_db = metrics_db self.scheduler = BackgroundScheduler(executors={'processpool': ProcessPoolExecutor(max_workers=20)}) self.scheduler.start() def create_subscription(self,subs_queue, subscription_id, kpi_id, sampling_interval_s, sampling_duration_s=None, start_timestamp=None, end_timestamp=None): start_date = None end_date = None if sampling_duration_s: if not start_timestamp: start_timestamp = time.time() end_timestamp = start_timestamp + sampling_duration_s if start_timestamp: start_date = datetime.utcfromtimestamp(start_timestamp).isoformat() if end_timestamp: end_date = datetime.utcfromtimestamp(end_timestamp).isoformat() LOGGER.debug(f"kpi_id: {kpi_id}") LOGGER.debug(f"sampling_interval_s: {sampling_interval_s}") LOGGER.debug(f"subscription_id: {subscription_id}") LOGGER.debug(f"start_date: {start_date}") self.scheduler.add_job(self.metrics_db.get_subscription_data, args=(subs_queue,kpi_id, sampling_interval_s), trigger='interval', seconds=sampling_interval_s, start_date=start_date, end_date=end_date, timezone=pytz.utc, id=str(subscription_id)) LOGGER.debug(f"Subscrition job {subscription_id} succesfully created") def delete_subscription(self, subscription_id): self.scheduler.remove_job(subscription_id) def ingest_data(): metrics_db = MetricsDB("localhost", "9009", "9000", "monitoring") kpi_id = "2" for i in range(200): timestamp = timestamp_utcnow_to_float() kpitype = "KPISAMPLETYPE_PACKETS_TRANSMITTED" deviceId = "DEV01" endpointId = "END01" serviceId = "SERV01" kpi_value = 50 * random() metrics_db.write_KPI(timestamp, kpi_id, kpitype, deviceId, endpointId, serviceId, kpi_value) time.sleep(0.01) def scheduler_test(): scheduler = BackgroundScheduler() subs_queue = Queue() managementdb = ManagementDB("monitoring.db") metrics_db = MetricsDB("localhost", "9009", "9000", "monitoring") subs_manager = SubscriptionManager(metrics_db) scheduler.start() scheduler.add_job(ingest_data) kpi_id = "2" sampling_duration_s = 20 sampling_interval_s = 3 real_start_time = timestamp_utcnow_to_float() start_timestamp = real_start_time end_timestamp = start_timestamp + sampling_duration_s subs_id = managementdb.insert_subscription(kpi_id, "localhost", sampling_duration_s, sampling_interval_s,start_timestamp,end_timestamp) subs_manager.create_subscription(subs_queue,subs_id,kpi_id,sampling_interval_s, sampling_duration_s,start_timestamp,end_timestamp) try: # This is here to simulate application activity (which keeps the main thread alive). i = 0 while True: # time.sleep(sampling_interval_s) while not subs_queue.empty(): list = subs_queue.get_nowait() # print(f"List: {list}") kpi_list = KpiList() for item in list: kpi = Kpi() kpi.kpi_id.kpi_id.uuid = item[0] kpi.timestamp.timestamp = Converters.timestamp_string_to_float(item[1]) kpi.kpi_value.floatVal = item[2] kpi_list.kpi.append(kpi) i += 1 print("Kpi List: " + str(kpi_list) + " " + str(i)) if timestamp_utcnow_to_float() > end_timestamp: print(f"Total metrics: {i}") break except (KeyboardInterrupt, SystemExit): # Not strictly necessary if daemonic mode is enabled but should be done if possible scheduler.shutdown() if __name__ == '__main__': scheduler_test() start_timestamp=time.time() end_timestamp=start_timestamp+sampling_duration_s print("end_timestamp: " + timestamp_float_to_string(end_timestamp)) if start_timestamp: start_date = datetime.utcfromtimestamp(start_timestamp) print("start_date: " + str(start_date)) if end_timestamp: end_date = datetime.fromtimestamp(end_timestamp) self.scheduler.add_job(self.metrics_db.get_subscription_data, args=(kpi_id, sampling_interval_s),trigger='interval', seconds=sampling_interval_s, start_date=start_date, end_date=end_date, id=subscription_id) LOGGER.debug(f"Subscrition job {subscription_id} succesfully created") def delete_subscription(self, subscription_id): try: self.scheduler.remove_job(subscription_id) LOGGER.debug(f"Subscription job {subscription_id} succesfully deleted") except (Exception, JobLookupError) as e: LOGGER.debug(f"Subscription job {subscription_id} does not exists")