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import os
import sys
import pytz
import time
import inspect
import numpy as np
import pandas as pd
import datetime as dt
import matplotlib.pyplot as plt
import tmpo

from opengrid import config
from opengrid.library import plotting
from opengrid.library import houseprint

c=config.Config()

try:
    if os.path.exists(c.get('tmpo', 'data')):
        path_to_tmpo_data = c.get('tmpo', 'data')
except:
    path_to_tmpo_data = None

%matplotlib inline
plt.rcParams['figure.figsize'] = 16,8

# path to data
path_to_data = c.get('data', 'folder')
if not os.path.exists(path_to_data):
    raise IOError("Provide your path to the data in your config.ini file.  This is a folder containing a 'zip' and 'csv' subfolder.")
else:
    path_to_fig = os.path.join(path_to_data, 'figures')
    if not os.path.isdir(path_to_fig): os.makedirs(path_to_fig)


    

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c.get('data','folder')


    

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hp = houseprint.Houseprint()

end = pd.Timestamp(time.time(), unit='s')
start = end - pd.Timedelta('30 days')


    

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hp.save('new_houseprint.pkl')


    

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hp.init_tmpo()hp.sync_tmpos()


    

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water_sensors = hp.get_sensors(sensortype='water')
print("{} water sensors".format(len(water_sensors)))


    

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for sensor in water_sensors:
    tscum = sensor.get_data(head=start, tail=end)
    ts = tscum.diff()*60
    if not ts.dropna().empty:
        plotting.carpet(ts, title=sensor.device.key, zlabel=r'Flow [l/hour]')
        plt.savefig(os.path.join(path_to_fig, 'carpet_water_'+sensor.device.key+'_tmpo_'+sensor.key), dpi=100)


    

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gas_sensors = hp.get_sensors(sensortype=('gas'))
print("{} gas sensors".format(len(gas_sensors)))


    

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for sensor in gas_sensors:
    tscum = sensor.get_data(head=start, tail=end)
    ts = tscum.diff()*60
    if not ts.dropna().empty:
        plotting.carpet(ts, title=sensor.device.key, zlabel=r'Flow [l/hour]')
        plt.savefig(os.path.join(path_to_fig, 'carpet_gas_'+sensor.device.key+'_tmpo_'+sensor.key), dpi=100)


    

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elec_sensors = hp.get_sensors(sensortype=('electricity'))
print("{} electricity sensors".format(len(elec_sensors)))


    

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for sensor in elec_sensors:
    tscum = sensor.get_data(head=start, tail=end)
    ts = tscum.diff()*60
    if not ts.dropna().empty:
        plotting.carpet(ts, title=sensor.device.key, zlabel=r'Power [W]')
        plt.savefig(os.path.join(path_to_fig, 'carpet_elec_'+sensor.device.key+'_tmpo_'+sensor.key), dpi=100)


    

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delattr(hp, '_tmpos')


    

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