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:
    sensors_out = pd.read_csv(root_dir+"output/sensors_out.csv", index_col=0)
except Exception as e:
    print(datetime.now())
    print(e)

def get_sensors(url):
    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'])

    datum_df = pd.DataFrame(datum_dict, index=[datetime.now()])

    return datum_df

try:
    reading = get_sensors(sensors_url)
    sensors_out_new = pd.concat([sensors_out, reading])

    sensors_out_new.to_csv(root_dir+"output/sensors_out.csv")
except Exception as e:
    print(datetime.now())
    print(e)