from bokeh.plotting import figure, output_file, save, show
from bokeh.models import Legend
import pandas as pd
import numpy as np
from bokeh.models import ColumnDataSource

x_vals = []
y_vals = []
file_data = pd.read_csv("data/light-meter-1-daily-totals.csv", sep=",",
                   header=None, index_col=False, dtype='unicode')
for row in file_data.values[1:] :
    x_vals.append(row[0])
    y_vals.append(row[1])

x_vals2 = []
y_vals2 = []
file_data2 = pd.read_csv("data/light-meter-2-daily-totals.csv", sep=",",
                   header=None, index_col=False, dtype='unicode')
for row in file_data2.values[1:] :
    x_vals2.append(row[0])
    y_vals2.append(row[1])

data = {'x_values': pd.to_datetime(x_vals),
        'y_values': np.asarray(y_vals).astype(int),
        'x_values2': pd.to_datetime(x_vals2),
        'y_values2': np.asarray(y_vals2).astype(int)}

source = ColumnDataSource(data=data)

p = figure(title="Total Daily Reading for Light Meters",
           x_axis_label="Date",
           y_axis_label="Total Readings",
           x_axis_type='datetime',
           sizing_mode="stretch_both")
p.axis.major_label_text_font_size = "12px"
p.axis.major_label_standoff = 10

p.line(x='x_values', y='y_values',  source=source,
       line_color="blue", legend_label="Light Meter 1 (Andy)")
p.line(x='x_values2', y='y_values2', source=source,
       line_color="orange", legend_label="Light Meter 2 (Tony)")

output_file("output/daily-totals.html", title="Daily Totals")
save(p)