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Script for getting nightscout profile data
#!/usr/bin/env python
Module to ease work with nightscout profiles.
By default lists all profiles found, and supports following sub-commands:
* profiles - list defined profiles
* display - display named (or default) profile
(in nightscout or OpenAPS format)
* get - save to disk profile in OpenAPS format
# Make it work on both python 2 and 3
# Probably a bit wide, but I'm still learning
from __future__ import (absolute_import, with_statement,
print_function, unicode_literals)
# Built-in modules
import argparse
import json
import logging
# External modules
import requests
from texttable import Texttable
def get_profiles(nightscout, token):
Get profiles available in nightscout
if token is not None:
r_url = nightscout + '/api/v1/profile.json' + '?' + token
r_url = nightscout + '/api/v1/profile.json'
r = requests.get(r_url)
return r.json()
def profiles(nightscout, token):
print list of profiles available in nightscout
p_list = get_profiles(nightscout, token)
default_profile = p_list[0]['defaultProfile']
profile_list = p_list[0]['store'].keys()
print("Default profile: {}".format(default_profile))
print("Available profiles:")
for profile in profile_list:
print("\t" + profile)
def display(nightscout, token, profile_name, profile_format):
Display contents of a profile, in requested format
p_list = get_profiles(nightscout, token)
default_profile = p_list[0]['defaultProfile']
if profile_name is None:
profile_name = default_profile
if profile_format == 'nightscout':
display_nightscout(p_list, profile_name)
elif profile_format == 'text':
display_text(p_list, profile_name)
# XXX Quick and dirty to get something
p_data = p_list[0]['store'][profile_name]
# display_openaps(p_list, profile_name)
print(json.dumps(ns_to_oaps(p_data), indent=4))
def ns_to_oaps(ns_profile):
Convert nightscout profile to OpenAPS format
oaps_profile = {}
# Not represented in nightscout
oaps_profile['min_5m_carbimpact'] = 8.0
oaps_profile['dia'] = float(ns_profile['dia'])
# Create a list of dicts with basal profile
oaps_profile['basalprofile'] = []
for basal_item in ns_profile['basal']:
{"i": len(oaps_profile['basalprofile']),
"minutes": int(basal_item['timeAsSeconds']) / 60,
"start": basal_item['time'] + ':00',
"rate": float(basal_item['value'])}
# Create a dict of dicts with target levels
oaps_profile['bg_targets'] = {"units": ns_profile['units'],
"user_preferred_units": ns_profile['units'],
"targets": []}
targets = {}
for low in ns_profile['target_low']:
targets.setdefault(low['time'], {})
targets[low['time']]['low'] = {
"i": len(targets), "start": low['time'] + ":00",
"offset": int(low['timeAsSeconds']),
"low": int(low['value'])
for high in ns_profile['target_high']:
targets.setdefault(high['time'], {})
targets[high['time']]['high'] = {
"high": int(high['value'])
for time in sorted(targets.keys()):
"i": len(oaps_profile['bg_targets']['targets']),
"start": targets[time]['low']['start'],
"offset": targets[time]['low']['offset'],
"low": targets[time]['low']['low'],
"min_bg": targets[time]['low']['low'],
"high": targets[time]['high']['high'],
"max_bg": targets[time]['high']['high']
# Create a dics of dicts with insulin sensitivity profile
oaps_profile['isfProfile'] = {"first": 1, "sensitivities": []}
isf_p = {}
for sens in ns_profile['sens']:
isf_p.setdefault(sens['time'], {})
isf_p[sens['time']] = {
"sensitivity": float(sens['value']),
"start": sens['time'] + ":00",
"offset": int(sens['timeAsSeconds']) / 60
for time in sorted(isf_p.keys()):
"i": len(oaps_profile['isfProfile']['sensitivities']),
"sensitivity": isf_p[time]['sensitivity'],
"offset": isf_p[time]['offset'],
"start": isf_p[time]['start']
# Create a dict of dicts for carb ratio
oaps_profile['carb_ratios'] = {"first": 1, "units": "grams",
"schedule": []}
cr_p = {}
for cr in ns_profile['carbratio']:
cr_p.setdefault(cr['time'], {})
cr_p[cr['time']] = {
"start": cr['time'] + ":00",
"offset": int(cr['timeAsSeconds']) / 60,
"ratio": float(cr['value'])
for time in sorted(cr_p.keys()):
"i": len(oaps_profile['carb_ratios']['schedule']),
"start": cr_p[time]['start'],
"offset": cr_p[time]['offset'],
"ratio": cr_p[time]['ratio']
oaps_profile['carb_ratio'] = oaps_profile['carb_ratios']['schedule'][0]['ratio']
return oaps_profile
def display_nightscout(profile_data, profile_name):
Display profile the way it comes from nightscout
print("Displaying profile {}".format(profile_name))
print(json.dumps(profile_data[0]['store'][profile_name], indent=4))
def display_text(profile_data, profile_name):
Display profile in text format
p_data = profile_data[0]['store'][profile_name]
logging.debug("Data keys: %s", p_data.keys())
# Single value data
singletons = Texttable()
singletons.set_cols_align(["c", "c", "c", "c", "c", "c"])
["Profile name", "Timezone", "Units", "DIA", "Delay", "Start date"],
profile_name, p_data['timezone'], p_data['units'], p_data['dia'],
p_data['delay'], p_data['startDate']
print(singletons.draw() + "\n")
times = {}
tgt_low = {v['time']: v['value'] for v in p_data['target_low']}
tgt_high = {v['time']: v['value'] for v in p_data['target_high']}
carb_ratio = {v['time']: v['value'] for v in p_data['carbratio']}
sens = {v['time']: v['value'] for v in p_data['sens']}
basal = {v['time']: v['value'] for v in p_data['basal']}
logging.debug(tgt_high, tgt_low, carb_ratio, sens, basal)
for (time, basal) in basal.items():
times.setdefault(time, {})
times[time]['basal'] = basal
for (time, sens) in sens.items():
times.setdefault(time, {})
times[time]['sens'] = sens
for (time, c_r) in carb_ratio.items():
times.setdefault(time, {})
times[time]['carbratio'] = c_r
for (time, tgt_h) in tgt_high.items():
times.setdefault(time, {})
times[time]['tgt_high'] = tgt_h
for (time, tgt_l) in tgt_low.items():
times.setdefault(time, {})
times[time]['tgt_low'] = tgt_l
logging.debug("Times: %s", times)
times_list = [["Time", "Basal", "ISF", "CR", "Target Low", "Target High"]]
for time in sorted(times.keys()):
times_list.append([time, times[time].get('basal', ''),
times[time].get('sens', ''),
times[time].get('carbratio', ''),
times[time].get('tgt_low', ''),
times[time].get('tgt_high', '')
times_table = Texttable()
times_table.set_cols_align(["c", "c", "c", "c", "c", "c"])
print(times_table.draw() + "\n")
if __name__ == "__main__":
parser = argparse.ArgumentParser(description='Get nightscout profile.')
parser.add_argument('--nightscout', help='Nightscout URL', required=True,
nargs='?', const='',
parser.add_argument('--token', help='Authenticaton token')
subparsers = parser.add_subparsers(help="Sub-command to run",
parser_profiles = subparsers.add_parser('profiles',
help="List all profile names")
parser_display = subparsers.add_parser('display', help="Display a profile")
parser_display.add_argument('--name', help="Which profile to display",
nargs='?', dest='profile_name')
parser_display.add_argument('--format', default='nightscout', nargs='?',
choices=['nightscout', 'openaps', 'text'],
help="What format to display profile in")
# I have no idea what it does, but it seems to do the trick
kwargs = vars(parser.parse_args())

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@oakeley oakeley commented Jun 1, 2019

Getting in openaps format seems to be buggy. It works fine in Nightscout format:
python2 --nightscout display > ns.json

But if I select the --format openaps it seems to get grumpy. I am running Nightscout 0.11.1
python2 --nightscout display --format openaps > ns.json
Traceback (most recent call last):
File "", line 254, in
File "", line 70, in display
print(json.dumps(ns_to_oaps(p_data), indent=4))
File "", line 88, in ns_to_oaps
"minutes": int(basal_item['timeAsSeconds']) / 60,
KeyError: u'timeAsSeconds'


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Owner Author

@viq viq commented Jun 1, 2019

Sorry, gists aren't too good for keeping track of development, so currently this lives in - are you seeing the same issue with that one?

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