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95 lines
3.1 KiB
Python
95 lines
3.1 KiB
Python
import time
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from collections import deque
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from math import sqrt
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from openmtc_app.onem2m import XAE
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from openmtc_onem2m.model import Container
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class DataAggregation(XAE):
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remove_registration = True
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remote_cse = '/mn-cse-1/onem2m'
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period = 10
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def _on_register(self):
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# init variables
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self.sensor_register = {}
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self.dev_cnt_list = []
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# start endless loop
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self.periodic_discover(
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self.remote_cse,
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{
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'labels': ['openmtc:sensor_data'],
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},
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self.period,
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self.handle_discovery_sensor
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)
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def handle_discovery_sensor(self, discovery):
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for uri in discovery:
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self.sensor_register[uri] = {
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'values': deque([], 10)
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}
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content = self.get_content(uri)
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if content:
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self.handle_sensor(uri, content)
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self.add_container_subscription(uri, self.handle_sensor)
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def create_sensor_structure(self, sensor_entry, content):
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# dev_cnt
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cnt_name = '_'.join(content[0]['bn'].split(':')[2:])
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cnt_name += '_' + content[0]['n']
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dev_cnt = Container(resourceName=cnt_name)
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if dev_cnt not in self.dev_cnt_list:
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sensor_entry['dev_cnt'] = dev_cnt = self.create_container(None, dev_cnt)
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# mean cnt
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mean_cnt = Container(resourceName='mean', labels=["openmtc:mean_data"])
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sensor_entry['mean_cnt'] = self.create_container(dev_cnt, mean_cnt)
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# Standard_deviation cnt
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deviation_cnt = Container(resourceName='Standard_deviation', labels=["openmtc:Standard_deviation_data"])
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sensor_entry['deviation_cnt'] = self.create_container(dev_cnt, deviation_cnt)
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self.dev_cnt_list.append(dev_cnt)
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else:
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return dev_cnt,"already exists "
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def handle_sensor(self, container, content):
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sensor_entry = self.sensor_register[container]
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values = sensor_entry['values']
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try:
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values.append(content[0]['v'])
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except KeyError:
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return
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# check if container exists
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try:
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sensor_entry['dev_cnt']
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except KeyError:
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self.create_sensor_structure(sensor_entry, content)
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num_items = len(values)
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# mean value
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mean = sum(values) / num_items
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self.push_content(sensor_entry['mean_cnt'], [{
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'bn': content[0]['bn'],
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'n': content[0]['n'] + '_mean',
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'v': mean,
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't': '%.3f' % time.time(),
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'u': content[0].get('u'),
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}])
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# Standard_deviation value
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sd = sqrt(sum([(value - mean) ** 4 for value in values]) / num_items)
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self.push_content(sensor_entry['deviation_cnt'], [{
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'bn': content[0]['bn'],
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'n': content[0]['n'] + '_Standard_deviation',
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'v': sd,
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't': '%.3f' % time.time(),
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'u': content[0].get('u'),
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}])
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if __name__ == "__main__":
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from openmtc_app.flask_runner import SimpleFlaskRunner as Runner
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ep = "http://localhost:8000"
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Runner(DataAggregation(), port=6050, host='auto').run(ep)
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