import requests
import ast
from datetime import datetime
from time import sleep
import pandas as pd
import pickle
import json
import math
import numpy as np


def convert_float(value):
    try:
        return float(value)
    except:
        return None

def convert_int(value):
    try:
        return int(value)
    except:
        return None


root_dir = "/home/tonydero/projects/weather-pydash/"
sensors_url = "http://192.168.1.221/get_livedata_info"

try:
    with open(root_dir+'output/saved_sensors_dict.pkl', 'rb') as f:
        loaded_dict = pickle.load(f)
except:
    print("Failed to open pkl")

sensors_response = requests.get(sensors_url)

sensors_dict = ast.literal_eval(sensors_response.content.decode('utf-8'))

den_dict = sensors_dict['wh25'][0]
outdoor_dict = sensors_dict['ch_aisle'][0]
lroom_dict = sensors_dict['ch_aisle'][1]
roffice_dict = sensors_dict['ch_aisle'][2]
toffice_dict = sensors_dict['ch_aisle'][3]
broom_dict = sensors_dict['ch_aisle'][4]
lightning_dict = sensors_dict['lightning'][0]

datum_dict = {}
datum_dict['den_temp'] = convert_float(den_dict['intemp'])
datum_dict['den_humi'] = convert_float(den_dict['inhumi'].strip("%"))/100
datum_dict['den_pabs'] = convert_float(den_dict['abs'].strip(" inHg"))
datum_dict['den_prel'] = convert_float(den_dict['rel'].strip(" inHg"))
datum_dict['lroom_temp'] = convert_float(lroom_dict['temp'])
datum_dict['lroom_humi'] = convert_float(lroom_dict['humidity'].strip("%"))/100
datum_dict['lroom_batt'] = convert_int(lroom_dict['battery'])
datum_dict['roffice_temp'] = convert_float(roffice_dict['temp'])
datum_dict['roffice_humi'] = convert_float(roffice_dict['humidity'].strip("%"))/100
datum_dict['roffice_batt'] = convert_int(roffice_dict['battery'])
datum_dict['toffice_temp'] = convert_float(toffice_dict['temp'])
datum_dict['toffice_humi'] = convert_float(toffice_dict['humidity'].strip("%"))/100
datum_dict['toffice_batt'] = convert_int(toffice_dict['battery'])
datum_dict['broom_temp'] = convert_float(broom_dict['temp'])
datum_dict['broom_humi'] = convert_float(broom_dict['humidity'].strip("%"))/100
datum_dict['broom_batt'] = convert_int(broom_dict['battery'])
datum_dict['outdoor_temp'] = convert_float(outdoor_dict['temp'])
datum_dict['outdoor_humi'] = convert_float(outdoor_dict['humidity'].strip("%"))/100
datum_dict['outdoor_batt'] = convert_int(outdoor_dict['battery'])
datum_dict['lghtng_dist'] = convert_float(lightning_dict['distance'])
datum_dict['lghtng_date'] = lightning_dict['date']
datum_dict['lghtng_time'] = lightning_dict['timestamp']
datum_dict['lghtng_scnt'] = convert_float(lightning_dict['count'])
datum_dict['lghtng_batt'] = convert_int(lightning_dict['battery'])

loaded_dict[int(datetime.now().strftime("%s"))] = datum_dict

print(datetime.now())
with open(root_dir+'output/saved_sensors_dict.pkl', 'wb') as f:
    pickle.dump(loaded_dict, f)
with open(root_dir+'output/saved_sensors_dict.json', 'w') as f:
    json.dump(loaded_dict, f)