mirror of
https://github.com/Telecominfraproject/wlan-lanforge-scripts.git
synced 2025-10-30 18:27:53 +00:00
120 lines
4.9 KiB
Python
120 lines
4.9 KiB
Python
#!/usr/bin/env python3
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# pip3 install influxdb-client
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# Version 2.0 influx DB Client
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import sys
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import os
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import pandas as pd
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if sys.version_info[0] != 3:
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print("This script requires Python 3")
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exit(1)
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if 'py-json' not in sys.path:
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sys.path.append(os.path.join(os.path.abspath('..'), 'py-json'))
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import requests
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import json
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import influxdb_client
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from influxdb_client.client.write_api import SYNCHRONOUS
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import time
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import datetime
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def influx_add_parser_args(parser):
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parser.add_argument('--influx_host', help='Hostname for the Influx database', default=None)
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parser.add_argument('--influx_port', help='IP Port for the Influx database', default=8086)
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parser.add_argument('--influx_org', help='Organization for the Influx database', default=None)
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parser.add_argument('--influx_token', help='Token for the Influx database', default=None)
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parser.add_argument('--influx_bucket', help='Name of the Influx bucket', default=None)
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parser.add_argument('--influx_tag', action='append', nargs=2,
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help='--influx_tag <key> <val> Can add more than one of these.', default=[])
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class RecordInflux():
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def __init__(self,
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_influx_host="localhost",
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_influx_port=8086,
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_influx_org=None,
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_influx_token=None,
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_influx_bucket=None,
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_debug_on=False,
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_exit_on_fail=False):
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self.influx_host = _influx_host
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self.influx_port = _influx_port
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self.influx_org = _influx_org
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self.influx_token = _influx_token
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self.influx_bucket = _influx_bucket
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self.url = "http://%s:%s" % (self.influx_host, self.influx_port)
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self.client = influxdb_client.InfluxDBClient(url=self.url,
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token=self.influx_token,
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org=self.influx_org,
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debug=_debug_on)
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self.write_api = self.client.write_api(write_options=SYNCHRONOUS)
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def post_to_influx(self, key, value, tags, time):
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p = influxdb_client.Point(key)
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for tag_key, tag_value in tags.items():
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p.tag(tag_key, tag_value)
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print(tag_key, tag_value)
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p.time(time)
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p.field("value", value)
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self.write_api.write(bucket=self.influx_bucket, org=self.influx_org, record=p)
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def csv_to_influx(self, csv):
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df = pd.read_csv(csv, sep='\t')
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df['Date'] = [datetime.datetime.utcfromtimestamp(int(date) / 1000).isoformat() for date in df['Date']]
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items = list(df.reset_index().transpose().to_dict().values())
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influx_variables = ['script', 'short-description', 'test_details', 'Graph-Group',
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'DUT-HW-version', 'DUT-SW-version', 'DUT-Serial-Num', 'testbed', 'Test Tag', 'Units']
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csv_variables = ['test-id', 'short-description', 'test details', 'Graph-Group',
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'dut-hw-version', 'dut-sw-version', 'dut-serial-num', 'test-rig', 'test-tag', 'Units']
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csv_vs_influx = dict(zip(csv_variables, influx_variables))
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columns = list(df.columns)
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for item in items:
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tags = dict()
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short_description = item['short-description']
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numeric_score = item['numeric-score']
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date = item['Date']
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for variable in csv_variables:
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if variable in columns:
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influx_variable = csv_vs_influx[variable]
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tags[influx_variable] = item[variable]
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self.post_to_influx(short_description, numeric_score, tags, date)
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def set_bucket(self, b):
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self.influx_bucket = b
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# Don't use this unless you are sure you want to.
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# More likely you would want to generate KPI in the
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# individual test cases and poke those relatively small bits of
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# info into influxdb.
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# This will not end until the 'longevity' timer has expired.
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# This function pushes data directly into the Influx database and defaults to all columns.
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def monitor_port_data(self,
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lanforge_host="localhost",
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devices=None,
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longevity=None,
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monitor_interval=None,
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bucket=None,
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tags=None): # dict
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url = 'http://' + lanforge_host + ':8080/port/1/1/'
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end = datetime.datetime.now() + datetime.timedelta(0, longevity)
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while datetime.datetime.now() < end:
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for station in devices:
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url1 = url + station
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response = json.loads(requests.get(url1).text)
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current_time = str(datetime.datetime.utcnow().isoformat())
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# Poke everything into influx db
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for key in response['interface'].keys():
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self.post_to_influx("%s-%s" % (station, key), response['interface'][key], tags, current_time)
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time.sleep(monitor_interval)
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