8000 Merge branch 'master' into dataframeclient_chunked_queries · andrew80k/influxdb-python@bff7ca9 · GitHub
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Merge branch 'master' into dataframeclient_chunked_queries
2 parents 1a7c56c + 87683f4 commit bff7ca9

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‎.travis.yml‎

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@@ -12,6 +12,8 @@ matrix:
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include:
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- python: 2.7
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env: TOX_ENV=py27
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- python: 2.7
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env: TOX_ENV=pep257
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- python: pypy-5.3.1
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env: TOX_ENV=pypy
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- python: 3.4

‎docs/source/conf.py‎

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# -*- coding: utf-8 -*-
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#
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"""InfluxDB documentation build configuration file."""
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# InfluxDB documentation build configuration file, created by
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# sphinx-quickstart on Thu Oct 16 00:33:06 2014.
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#

‎examples/tutorial.py‎

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# -*- coding: utf-8 -*-
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"""Tutorial on using the InfluxDB client."""
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import argparse
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from influxdb import InfluxDBClient
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def main(host='localhost', port=8086):
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"""Instantiate a connection to the InfluxDB."""
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user = 'root'
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password = 'root'
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dbname = 'example'
@@ -54,9 +58,11 @@ def main(host='localhost', port=8086):
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def parse_args():
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"""Parse the args."""
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parser = argparse.ArgumentParser(
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description='example code to play with InfluxDB')
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parser.add_argument('--host', type=str, required=False, default='localhost',
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parser.add_argument('--host', type=str, required=False,
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default='localhost',
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help='hostname of InfluxDB http API')
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parser.add_argument('--port', type=int, required=False, default=8086,
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help='port of InfluxDB http API')

‎examples/tutorial_pandas.py‎

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@@ -1,14 +1,18 @@
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# -*- coding: utf-8 -*-
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"""Tutorial for using pandas and the InfluxDB client."""
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import argparse
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import pandas as pd
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from influxdb import DataFrameClient
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def main(host='localhost', port=8086):
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"""Instantiate the connection to the InfluxDB client."""
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user = 'root'
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password = 'root'
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dbname = 'demo'
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# Temporarily used to avoid line protocol time conversion issues #412, #426, #431.
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# Temporarily avoid line protocol time conversion issues #412, #426, #431.
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protocol = 'json'
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client = DataFrameClient(host, port, user, password, dbname)
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client.write_points(df, 'demo', protocol=protocol)
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print("Write DataFrame with Tags")
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client.write_points(df, 'demo', {'k1': 'v1', 'k2': 'v2'}, protocol=protocol)
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client.write_points(df, 'demo',
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{'k1': 'v1', 'k2': 'v2'}, protocol=protocol)
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print("Read DataFrame")
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client.query("select * from demo")
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def parse_args():
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"""Parse the args from main."""
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parser = argparse.ArgumentParser(
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description='example code to play with InfluxDB')
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parser.add_argument('--host', type=str, required=False,

‎examples/tutorial_serieshelper.py‎

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"""
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Tutorial/Example how to use the class helper `SeriesHelper`
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"""
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# -*- coding: utf-8 -*-
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"""Tutorial how to use the class helper `SeriesHelper`."""
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from influxdb import InfluxDBClient
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from influxdb import SeriesHelper
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class MySeriesHelper(SeriesHelper):
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# Meta class stores time series helper configuration.
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"""Instantiate SeriesHelper to write points to the backend."""
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class Meta:
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"""Meta class stores time series helper configuration."""
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# The client should be an instance of InfluxDBClient.
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client = myclient
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# The series name must be a string. Add dependent fields/tags in curly brackets.
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# The series name must be a string. Add dependent fields/tags
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# in curly brackets.
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series_name = 'events.stats.{server_name}'
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# Defines all the fields in this time series.
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fields = ['some_stat', 'other_stat']
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# Defines all the tags for the series.
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tags = ['server_name']
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# Defines the number of data points to store prior to writing on the wire.
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# Defines the number of data points to store prior to writing
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# on the wire.
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bulk_size = 5
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# autocommit must be set to True when using bulk_size
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autocommit = True
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‎examples/tutorial_server_data.py‎

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# -*- coding: utf-8 -*-
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"""Tutorial on using the server functions."""
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from __future__ import print_function
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import argparse
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from influxdb import InfluxDBClient
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from influxdb.client import InfluxDBClientError
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import datetime
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import random
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import time
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from influxdb import InfluxDBClient
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from influxdb.client import InfluxDBClientError
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USER = 'root'
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PASSWORD = 'root'
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DBNAME = 'tutorial'
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def main(host='localhost', port=8086, nb_day=15):
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"""Instantiate a connection to the backend."""
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nb_day = 15 # number of day to generate time series
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timeinterval_min = 5 # create an event every x minutes
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total_minutes = 1440 * nb_day
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hostName = "server-%d" % random.randint(1, 5)
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# pointValues = [int(past_date.strftime('%s')), value, hostName]
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pointValues = {
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"time": int(past_date.strftime('%s')),
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"measurement": metric,
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'fields': {
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'value': value,
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},
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'tags': {
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"hostName": hostName,
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},
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}
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"time": int(past_date.strftime('%s')),
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"measurement": metric,
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"fields": {
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"value": value,
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},
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"tags": {
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"hostName": hostName,
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},
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}
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series.append(pointValues)
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print(series)
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time.sleep(2)
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query = "SELECT MEAN(value) FROM {} WHERE time > now() - 10d GROUP BY time(500m)".format(metric)
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query = "SELECT MEAN(value) FROM {} WHERE \
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time > now() - 10d GROUP BY time(500m)".format(metric)
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result = client.query(query, database=DBNAME)
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print(result)
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print("Result: {0}".format(result))
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def parse_args():
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"""Parse the args."""
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parser = argparse.ArgumentParser(
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description='example code to play with InfluxDB')
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parser.add_argument('--host', type=str, required=False, default='localhost',
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parser.add_argument('--host', type=str, required=False,
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default='localhost',
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help='hostname influxdb http API')
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parser.add_argument('--port', type=int, required=False, default=8086,
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help='port influxdb http API')

‎examples/tutorial_sine_wave.py‎

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# -*- coding: utf-8 -*-
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"""Tutorial using all elements to define a sine wave."""
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import argparse
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from influxdb import InfluxDBClient
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import math
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import datetime
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import time
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from influxdb import InfluxDBClient
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USER = 'root'
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PASSWORD = 'root'
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DBNAME = 'tutorial'
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def main(host='localhost', port=8086):
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"""
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main function to generate the sin wave
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"""
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"""Define function to generate the sin wave."""
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now = datetime.datetime.today()
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points = []
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client.create_database(DBNAME)
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client.switch_database(DBNAME)
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#Write points
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# Write points
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client.write_points(points)
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time.sleep(3)
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print("Result: {0}".format(result))
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"""
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You might want to comment the delete and plot the result on InfluxDB Interface
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Connect on InfluxDB Interface at http://127.0.0.1:8083/
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Select the database tutorial -> Explore Data
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You might want to comment the delete and plot the result on InfluxDB
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Interface. Connect on InfluxDB Interface at http://127.0.0.1:8083/
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Select the database tutorial -> Explore Data
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Then run the following query:
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def parse_args():
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"""Parse the args."""
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parser = argparse.ArgumentParser(
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description='example code to play with InfluxDB')
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parser.add_argument('--host', type=str, required=False, default='localhost',
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parser.add_argument('--host', type=str, required=False,
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default='localhost',
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help='hostname influxdb http API')
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parser.add_argument('--port', type=int, required=False, default=8086,
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help='port influxdb http API')

‎influxdb/__init__.py‎

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# -*- coding: utf-8 -*-
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"""Initialize the influxdb package."""
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from __future__ import absolute_import
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from __future__ import division

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