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# %%
import os
import sys

import seaborn as sns
from tabulate import tabulate

nb_dir = os.path.split(os.getcwd())[0]
if nb_dir not in sys.path:
    sys.path.append(nb_dir)

import participants.query_db

# %%
from features.light import *

# %%
df_light_nokia = get_light_data(["nokia_0000003"])
print(df_light_nokia)

# %%
participants_inactive_usernames = participants.query_db.get_usernames()
df_light_inactive = get_light_data(participants_inactive_usernames)

# %%
df_light_inactive.accuracy.value_counts()

# %%
df_light_inactive.double_light_lux.describe()

# %%
df_light_plot = df_light_inactive.copy()
df_light_plot["double_light_lux"] = df_light_plot["double_light_lux"] + 1
sns.displot(
    data=df_light_plot,
    x="double_light_lux",
    binwidth=0.1,
    log_scale=(True, False),
    height=8,
)

# %% [markdown]
# The official SensorManager Light constants are:
# * Cloudy sky: 100.0
# * Full moon: 0.25
# * No moon: 0.001
# * Overcast: 10000.0
# * Shade: 20000.0
# * Sunlight: 110000.0
# * Sunlight maximum: 120000.0
# * Sunrise: 400.0
#

# %%
df_light_low = df_light_inactive[df_light_inactive["double_light_lux"] <= 10]
sns.displot(data=df_light_low, x="double_light_lux", binwidth=0.5, height=8)

# %%