import pandas as pd
import plotly.express as px


phone_data_yield = pd.read_csv(snakemake.input[0])

# make sure the input file contains "phone_data_yield_rapids_ratiovalidyieldedminutes" and "phone_data_yield_rapids_ratiovalidyieldedhours" columns
if ("phone_data_yield_rapids_ratiovalidyieldedminutes" not in phone_data_yield.columns) or ("phone_data_yield_rapids_ratiovalidyieldedhours" not in phone_data_yield.columns):
    raise ValueError("Please make sure [PHONE_DATA_YIELD][RAPIDS][COMPUTE] is True AND [PHONE_DATA_YIELD][RAPIDS][FEATURES] contains [ratiovalidyieldedminutes, ratiovalidyieldedhours].")

# plot ratio valid yielded minutes histogram
fig_ratiovalidyieldedminutes = px.histogram(phone_data_yield, x="phone_data_yield_rapids_ratiovalidyieldedminutes", color="local_segment_label")
fig_ratiovalidyieldedminutes.update_layout(title="Ratio Valid Yielded Minutes Histogram")

# plot ratio valid yielded hours histogram
fig_ratiovalidyieldedhours = px.histogram(phone_data_yield, x="phone_data_yield_rapids_ratiovalidyieldedhours", color="local_segment_label")
fig_ratiovalidyieldedhours.update_layout(title="Ratio Valid Yielded Hours Histogram")


with open(snakemake.output[0], "a") as html_file:
    html_file.write(fig_ratiovalidyieldedminutes.to_html(full_html=False, include_plotlyjs="cdn"))
    html_file.write(fig_ratiovalidyieldedhours.to_html(full_html=False, include_plotlyjs="cdn"))