2018-05-10 20:50:14 +00:00
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#!/usr/bin/python3
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import argparse
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import csv
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import datetime as dt
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import dateutil.parser as dp
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import dateutil.tz as tz
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import hashlib
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import json
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import os
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import re
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import sys
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import urllib.request
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import uuid
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import pprint
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''' Constants for units '''
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UNIT_MGDL = 'mg/dL'
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UNIT_MMOLL = 'mmol/L'
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VALID_UNITS = [UNIT_MGDL, UNIT_MMOLL]
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def main():
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if sys.version_info < (3, 2):
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raise Exception(
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'Unsupported Python version, please use at least Python 3.2')
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pp = pprint.PrettyPrinter(depth=6)
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args = parse_arguments()
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secret_bytes = str.encode(args.secret)
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secret_hash = hashlib.sha1(secret_bytes).hexdigest()
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headers = {
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'API-SECRET': secret_hash,
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'accept': 'application/json',
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'Content-Type': 'application/json',
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}
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2018-05-10 20:53:21 +00:00
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#print(secret_hash)
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2018-05-10 20:50:14 +00:00
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with open(args.input_file, 'r', newline='') as f:
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rows = from_csv(f)
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entries = list()
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treatments = list()
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for row in rows:
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''' FreeStyle Libre comments:
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* measure_method: "CGM" (comment: Scan or Sensor)
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"blood sample" (comment: Blood)
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* comment: "Blood" = finger prick (with optional comments)
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"Scan" = manual scan (with optional comments)
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"Sensor" = automatic (never any comments)
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* Note that we ignore ketone strips
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* Nightscout Entry type:
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- sgv (Serum Glucose Values): "Sensor", no comment; "Scan", no comment
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- mbg (Meter Blood Glucose): "Blood", no comment
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- cal (Calibration): Ignore, never done on Freestyle
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* Treatment glucoseType:
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- Finger: "blood sample" with comment
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- Sensor: "CGM" with comment (in effect, "Scan")
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'''
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meal = None # This value always seems to be empty
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(timestamp, datestring, created_at) = parse_timestamp(row, args.tz)
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value = parse_value(row, args.units)
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measure_method = parse_method(row)
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comment = parse_comments(row)
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#''' Meal seems to be empty '''
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#meal = row.get('meal')
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#if meal:
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# print(meal)
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''' Create Treatment or Entry '''
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if comment.get('type') == 'entry':
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entry = {
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'device': 'FreeStyle Libre',
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'dateString': datestring,
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'date': timestamp,
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'noise': 1,
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'rssi': 100,
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'sysTime': datestring,
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}
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if measure_method != 'CGM':
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entry['type'] = 'mbg'
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entry['mbg'] = value
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else:
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entry['type'] = 'sgv'
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entry['sgv'] = value
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# We don't get raw data from the reader, so don't try and guess raw data; just ignore it
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#entry['filtered'] = int(float(value) * 1000 / 8.5) # 'value' is already smoothed by the Libre Reader
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#entry['unfiltered'] = int(float(value) * 1000 / 8.5) # 'value' is already smoothed by the Libre Reader
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if comment.get('direction') is not None:
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entry['direction'] = comment.get('direction')
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entries.append(entry)
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elif comment.get('type') == 'treatment':
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for t in ( 'long-acting', 'rapid-acting', 'food', 'sport' ):
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if comment.get(t) is not None:
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treatment = {
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'enteredBy': 'FreeStyle Libre',
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'eventType': '<none>',
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'timestamp': timestamp,
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'created_at': created_at,
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'sysTime': datestring,
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}
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treatment['glucose'] = value
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treatment['units'] = UNIT_MGDL
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if measure_method != 'CGM':
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treatment['glucoseType'] = 'Finger'
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else:
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treatment['glucoseType'] = 'Sensor'
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if t == 'food' and comment.get(t) is not None:
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treatment['eventType'] = 'Carb Correction'
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treatment['carbs'] = comment.get('food')
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if t == 'sports' and comment.get(t) is not None:
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treatment['eventType'] = 'Exercise'
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if comment.get('sport') > 1:
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treatment['duration'] = comment.get('sport')
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else:
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''' Assume we're exercising for half an hour, since this value wasn't recorded '''
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treatment['duration'] = 30
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if t == 'long-acting' and comment.get(t) is not None:
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treatment['eventType'] = 'Temp Basal'
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treatment['absolute'] = comment.get('long-acting')
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''' Lantus/Levemir last 18-26 hours '''
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treatment['duration'] = 20
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if t == 'rapid-acting' and comment.get(t) is not None:
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''' xDrip leaves this blank; options are Meal Bolus, Snack Bolus, Correction Bolus, Combo Bolus '''
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treatment['eventType'] = '<none>'
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treatment['insulin'] = comment.get('rapid-acting')
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treatments.append(treatment)
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''' Ensure any subsequent entry is the next entry by date '''
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entries.sort(key=lambda d: d.get('date'), reverse=False)
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for i, d in enumerate(entries):
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if i < len(entries)-1:
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(entries[i], entries[i+1]) = calculate_entry_delta(entries[i], entries[i+1])
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2018-05-10 20:53:21 +00:00
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#pp.pprint(entries)
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2018-05-10 21:14:42 +00:00
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#pp.pprint(treatments)
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2018-05-10 20:53:21 +00:00
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sys.exit(1) # Remove this line to upload!
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2018-05-10 20:50:14 +00:00
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''' Upload data (either treatment or entry) to Nightscout '''
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actions = {
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2018-05-10 20:53:21 +00:00
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'/treatments': treatments,
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'/entries': entries,
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2018-05-10 20:50:14 +00:00
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}
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for page, form in actions.items():
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''' Upload data in groups of 100 entries, to avoid timeouts from large datasets '''
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for chunk in chunks(form, 100):
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2018-05-11 18:07:17 +00:00
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#print(json.dumps(chunk))
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2018-05-10 20:50:14 +00:00
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try:
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url = args.server + page
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print(url)
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req = urllib.request.Request(url, headers = headers, data = bytes(json.dumps(chunk), encoding="utf-8"))
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with urllib.request.urlopen(req) as response:
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status = response.read().decode('utf-8')
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status_json = json.loads(status)
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2018-05-10 20:53:21 +00:00
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print(status_json)
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2018-05-10 20:50:14 +00:00
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print('Completed')
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except urllib.error.HTTPError as err:
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print('{}: URL {}'.format(err, url))
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return
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def chunks(l, n):
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"""Yield successive n-sized chunks from l."""
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for i in range(0, len(l), n):
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yield l[i:i + n]
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def calculate_entry_delta(first, last):
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''' Calculate delta and direction using relative values '''
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''' Only judge directions and deltas for values that are within 30 minutes '''
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interval = 30 * 60 * 1000
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if first.get('sgv') is not None and last.get('sgv') is not None:
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if last.get('date') - first.get('date') < interval and last.get('date') - first.get('date') > 1:
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slope = ( last.get('sgv') - first.get('sgv') ) / ( last.get('date') - first.get('date') ) * 60000
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delta = last.get('sgv') - first.get('sgv')
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#last['slope'] = '{:05.3f}'.format(slope)
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last['delta'] = '{:05.3f}'.format(delta)
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''' direction: DoubleUp, SingleUp, FortyFiveUp, Flat,
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FortyFiveDown, SingleDown, DoubleDown,
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NOT_COMPUTABLE, RATE_OUT_OF_RANGE '''
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if last.get('direction') is None:
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if slope <= -3.5:
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last['direction'] = 'DoubleDown'
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elif slope <= -2:
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last['direction'] = 'SingleDown'
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elif slope <= -1:
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last['direction'] = 'FortyFiveDown'
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elif slope <= 1:
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last['direction'] = 'Flat'
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elif slope <= 2:
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last['direction'] = 'FortyFiveUp'
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elif slope <= 3.5:
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last['direction'] = 'SingleUp'
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elif slope <= 40:
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last['direction'] = 'DoubleUp'
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return (first, last)
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def parse_timestamp(data, tz):
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''' Clean up timestamp '''
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timestamp = data.get('timestamp')
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try:
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date = dp.parse(timestamp).astimezone()
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if date.tzinfo is None:
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if tz is None:
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tz = 'UTC'
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date = dp.parse('{} {}'.format(timestamp, tz)).astimezone()
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except ValueError:
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raise ValueError('Invalid date or timezone: %s (should be of format %s)' % (data.get('timestamp'), '%Y-%m-%d %H:%M:%S'))
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''' Pad microseconds to 6 digits, then truncate to 3 significant digits'''
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millisecond = '{:.03}'.format( '{:06d}'.format(date.microsecond))
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''' the date element seems to need milliseconds (not microseconds) '''
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timestamp = int(str(date.strftime('%s')) + millisecond)
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datestring = date.isoformat()
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''' the created_at element seems to need to end in Z (and thus be UTC) '''
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utcdatestring = date.astimezone(dt.timezone.utc).strftime('%Y-%m-%dT%H:%M:%SZ')
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return (timestamp, datestring, utcdatestring)
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def parse_value(data, units):
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''' Clean up value, convert to mg/dL, and return as float '''
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try:
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value = float(data.get('value'))
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''' Convert the value from mmol/L to mg/dL '''
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value = convert_glucose_unit(value, units, UNIT_MGDL)
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value = float(value)
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except ValueError as err:
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raise ValueError('Invalid glucose value: '.format(err))
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return value
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def parse_method(data):
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''' measure_method: ( 'blood sample', 'CGM' ) '''
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measure_method = data.get('measure_method')
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return measure_method
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def parse_comments(data):
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''' comment: '(Sensor)|(Blood)|(Scan); Rapid-acting insulin (X.X); Long-acting insulin (X.X); Food (X g); Sport ' '''
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comment = { 'type': 'entry' }
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rscantype = re.compile('\((Sensor|Scan|Blood|Ketone)\)', flags=re.IGNORECASE)
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rrelevant = re.compile('(Sport|Food|Rapid-acting insulin|Long-acting insulin|Direction)(?: \((.*?)(?: g)?\))', flags=re.IGNORECASE)
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for part in data.get('comment').split('; '):
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scantype = rscantype.search(part)
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if scantype is not None:
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if scantype.group(1) == 'Blood':
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comment['reader'] = 'Blood'
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elif scantype.group(1) == 'Sensor':
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comment['reader'] = 'Sensor'
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else:
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comment['reader'] = 'Scan'
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relevant = rrelevant.search(part)
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if relevant is not None:
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comment_type = relevant.group(1)
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comment_value = relevant.group(2)
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if comment_type == 'Long-acting insulin':
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comment['type'] = 'treatment'
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comment['long-acting'] = comment_value
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if comment_type == 'Rapid-acting insulin':
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comment['type'] = 'treatment'
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comment['rapid-acting'] = comment_value
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if comment_type == 'Food':
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comment['type'] = 'treatment'
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comment['food'] = comment_value
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if comment_type == 'Sport':
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comment['type'] = 'treatment'
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comment['sport'] = 1
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# Note that Direction may require hacking the CSV generator
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''' direction: DoubleUp, SingleUp, FortyFiveUp, Flat,
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FortyFiveDown, SingleDown, DoubleDown,
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NOT_COMPUTABLE, RATE_OUT_OF_RANGE '''
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if comment_type == 'Direction':
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if comment_value == 'up-fast':
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comment['direction'] = 'SingleUp'
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elif comment_value == 'up':
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comment['direction'] = 'FortyFiveUp'
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elif comment_value == 'steady':
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comment['direction'] = 'Flat'
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elif comment_value == 'down':
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comment['direction'] = 'FortyFiveDown'
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elif comment_value == 'down-fast':
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comment['direction'] = 'SingleDown'
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2018-05-10 21:14:42 +00:00
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return comment
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2018-05-10 20:50:14 +00:00
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def verify_units(units = None):
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''' Standardise units for output and for the A1c calculations '''
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if re.search('mg', units, flags=re.IGNORECASE) is not None:
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units = UNIT_MGDL
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elif re.search('mm', units, flags=re.IGNORECASE) is not None:
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units = UNIT_MMOLL
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else:
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units = UNIT_MMOLL
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return units
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def convert_glucose_unit(value, from_unit, to_unit=None):
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"""Convert the given value of glucose level between units.
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Args:
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value: The value of glucose in the current unit
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from_unit: The unit value is currently expressed in
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to_unit: The unit to conver the value to: the other if empty.
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Returns:
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The converted representation of the blood glucose level.
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Raises:
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ValueError if either unit is unvalid
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"""
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if from_unit not in VALID_UNITS:
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raise ValueError("Invalid unit: {}".format(from_unit))
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if to_unit not in VALID_UNITS:
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raise ValueError("Invalid unit: {}".format(from_unit))
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if from_unit == to_unit:
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return value
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if to_unit is UNIT_MGDL:
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return round(value * 18.0182, 0)
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else:
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return round(value / 18.0182, 2)
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def from_csv(csv_file, newline=''):
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'''Returns the reading as a formatted comma-separated value string.'''
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data = csv.reader(csv_file, delimiter=',', quotechar='"')
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fields = [ 'timestamp', 'value', 'meal', 'measure_method', 'comment' ]
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rows = []
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for row in data:
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item = dict(zip(fields, row))
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rows.append(item)
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return rows
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def parse_arguments():
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parser = argparse.ArgumentParser(description='Upload data from a Freestyle Libre CSV file into a Nightscout instance')
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parser.add_argument(
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'--input', '-i', action='store', required=True, type=str, dest='input_file',
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help='Select the CSV file exported by glucometerutils.')
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parser.add_argument(
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'--units', action='store', required=False, type=str,
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default='mmol/L', choices=(UNIT_MGDL, UNIT_MMOLL),
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help=('The measurement units used in the Freestyle Libre reader (mmol/L or mg/dL).'))
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parser.add_argument(
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2018-05-10 21:14:42 +00:00
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'--timezone', '--tz', action='store', required=False, type=str, dest='tz',
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2018-05-10 20:50:14 +00:00
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default='UTC',
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help=('The time zone for which the sensor is set to record dates.'))
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parser.add_argument(
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'--server', '-s', action='store', required=True, type=str, dest='server',
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help='Nightscout server, of the form https://<server address>/api/v1/')
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parser.add_argument(
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'--secret', '-a', action='store', required=True, type=str, dest='secret',
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help='API_SECRET for Nightscout server')
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args = parser.parse_args()
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args.units = verify_units(args.units)
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return args
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if __name__ == "__main__":
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main()
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# vim: set expandtab shiftwidth=2 softtabstop=2 tw=0 :
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