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

# Hour Slots, hardcoded to reduce duplicated processing of data.
x_vals = ["00", "01", "02", "03", "04", "05",
          "06", "07", "08", "09", "10", "11",
          "12", "13", "14", "15", "16", "17",
          "18", "19", "20", "21", "22", "23",
          "24"]
dates = []
y_vals = []
file_data = []
for month in range(6, 8, 1) :
    for day in range(1, 31, 1) :
        if (day < 10) :
            d = f"0{day}"
        else :
            d = day
        if day < 13 and month == 6 :
            print(f"Skipping: data/light-meter-1-hourly-totals/2021-0{month}/2021-0{month}-{d}.csv")
        else :
            file_path = f"data/light-meter-1-hourly-totals/2021-0{month}/2021-0{month}-{d}.csv"
            single_file = pd.read_csv (file_path, sep="," ,header=None,
                                       index_col=False, dtype='unicode')
            dates.append(f"2021-0{month}-{d}")
            file_data.append(single_file.values[1:])

p = figure(title="Total Hourly Reading for Light Meter 1 (Andy)",
           x_axis_label="Hour",
           y_axis_label="Total Readings",
           sizing_mode="stretch_both")
p.axis.major_label_text_font_size = "12px"
p.axis.major_label_standoff = 10

def  random_colour():
    r = random.randint(0,255)
    g = random.randint(0,255)
    b = random.randint(0,255)
    rgb = [r,g,b]
    return rgb

for day in dates :
    for row in file_data :
        y_vals = []
        for data in row :
            reading = data[1]
            y_vals.append(reading)
        p.line(x = np.asarray(x_vals).astype(str),
               y = np.asarray(y_vals).astype(int),
               # legend_label=f"{day}",
               line_color=random_colour())

output_file("output/lm1-hourly-totals.html",
            title="Total Hourly Reading for Light Meter 1")
save(p)