import json from os import path sys.path.append(path.dirname(path.dirname(path.abspath(__file__)))) from utils import loadConfig import utils import generator try: HAS_SENTIMENT = True from utils import sentiment except ImportError: HAS_SENTIMENT = False config = loadConfig.getConfig() try: json_data = utils.load_record_json('swarm-checkins.json') except: print('Make sure you\'ve synced or exported your Swarm data') sys.exit() year_count = {} zipcode_count = {} places_count = {} categories_count = {} state_count = {} #print(json_data['checkins']['items'][0]) mayorships = [] shout_sentiments = [] # Main processing loop
import sys import datetime import json from os import path sys.path.append(path.dirname(path.dirname(path.abspath(__file__)))) from utils import loadConfig import utils import generator ENUMERATE = False config = loadConfig.getConfig() try: json_data = utils.load_record_json('lastfm-data.json') except: print('Make sure you\'ve synced or exported your Nomie data') sys.exit() songs_recorded = len(json_data['data']) print("Songs recorded: {0}".format(songs_recorded)) # Now generate HTML report parts = [['header', ['Last.fm Report']], ['big_num', ['Songs recorded', songs_recorded]]] generator.build_report('lastfm_main', parts)
# This script is intended to intelligently monitor your nutrition data import sys import datetime import json from os import path sys.path.append(path.dirname(path.dirname(path.abspath(__file__)))) from utils import loadConfig import utils import generator config = loadConfig.getConfig() try: json_data = utils.load_record_json('wakatime-export.json') except: print('Make sure you\'ve synced or exported your WakaTime') sys.exit() def calc_top_languages(days): language_hours = {} for i in days: for lang in i['languages']: try: language_hours[lang['name']] += lang['total_seconds'] except: language_hours[lang['name']] = lang['total_seconds'] sorted_list = sorted(language_hours.items(), key=lambda kv: kv[1]) sorted_list.reverse() return sorted_list
import datetime import json from os import path import numpy as np sys.path.append(path.dirname(path.dirname(path.abspath(__file__)))) from utils import loadConfig import utils import generator config = loadConfig.getConfig() CONFIDENCE_LEVEL = 1.96 # 95% confidence # Load data try: json_data = utils.load_record_json('strava-data.json') except: print('Make sure you\'ve synced or exported your Strava data') sys.exit() print(json_data['activities'][0].keys()) # TODO: Make difficulty metric based on things like heart rate and the nature of # the elevation changes lifetime_distance = 0 avg_hrs = [] # Main processing loop over all activities for i in json_data['activities']: try: avg_hr = sum(i['heartrate']) / len(i['heartrate']) avg_hrs += [avg_hr]
import sys import datetime import json from os import path sys.path.append( path.dirname( path.dirname( path.abspath(__file__) ) ) ) from utils import loadConfig import utils import generator ENUMERATE = False config = loadConfig.getConfig() try: json_data = utils.load_record_json('nomie-backup.nomie.json') except: print('Make sure you\'ve synced or exported your Nomie data') sys.exit() trackers = json_data['trackers'] # Main keys: charge, config->uom, label, math (mean, etc.) TRACKER_ID_TO_NAME = {} for i in trackers: TRACKER_ID_TO_NAME[i['_id']] = i['label'] raw_events = json_data['events'] def tracker_id_to_name(id): try: return TRACKER_ID_TO_NAME[id] except:
import utils import generator config = loadConfig.getConfig() html_parts = [] def add_message(text): global html_parts print(text) html_parts += [['paragraph', [text]]] try: json_data = utils.load_record_json('myfitnesspal-food.json') except IOError as e: print('Make sure you\'ve synced MyFitnessPal nutrition data') sys.exit() BASELINE_METRICS = { 'calories': 2200, 'carbohydrates': 300, 'fat': 65, 'protein': 56, 'sodium': 2400, 'sugar': 50 } def remove_untracked_days(days):
from utils import loadConfig import utils import generator config = loadConfig.getConfig() def check_aggregates_directory(): directory = 'aggregates/' if not os.path.exists(directory): os.makedirs(directory) check_aggregates_directory() print('Last.fm...') try: song_data = utils.load_record_json('lastfm-data.json') song_days = {} for i in song_data['data']: timestamp = i['date']['uts'] date = datetime.datetime.utcfromtimestamp(float(timestamp)) date = date.replace(hour=0, minute=0, second=0, microsecond=0) day_timestamp = date.timestamp() try: song_days[day_timestamp] += [i] except: song_days[day_timestamp] = [i] day_blocks = [] for i in song_days.keys(): block = { 'timestamp': i, 'songCount': 0