def app(verbose, config_path, log_path, token_path):
global cfg, google
# Ensure paths are full paths
if not config_path.startswith(os.path.sep):
config_path = os.path.join(
os.path.dirname(os.path.realpath(sys.argv[0])), config_path)
if not log_path.startswith(os.path.sep):
log_path = os.path.join(os.path.dirname(os.path.realpath(sys.argv[0])),
log_path)
if not token_path.startswith(os.path.sep):
token_path = os.path.join(
os.path.dirname(os.path.realpath(sys.argv[0])), token_path)
# Load config
from utils.config import Config
cfg = Config(config_path=config_path).cfg
# Load logger
log_levels = {0: 'INFO', 1: 'DEBUG', 2: 'TRACE'}
log_level = log_levels[verbose] if verbose in log_levels else 'TRACE'
config_logger = {
'handlers': [{
'sink': sys.stdout,
'backtrace': True if verbose >= 2 else False,
'level': log_level
}, {
'sink': log_path,
'rotation': '30 days',
'retention': '7 days',
'enqueue': True,
'backtrace': True if verbose >= 2 else False,
'level': log_level
}]
}
logger.configure(**config_logger)
# Load google
google = Google(cfg.client_id, cfg.client_secret, cfg.project_name,
token_path)
# Display params
logger.info("%s = %r" % ("LOG_PATH".ljust(12), log_path))
logger.info("%s = %r" % ("LOG_LEVEL".ljust(12), log_level))
logger.info("")
return
import dash_core_components as dcc
import plotly.graph_objs as go
import dash_table
from dash.dependencies import Input, Output
import pandas as pd
import app.template as template
from app.app import dash_app
from utils.google import Google
APPS_NAME = 'Promised Neverland Season 2'
g = Google()
df = g.get_data()
df['Date'] = pd.to_datetime(df['Date'])
df_table = df.copy()
df_table['Date'] = df_table['Date'].dt.strftime('%m/%d/%Y')
df_table = df_table.drop(columns=['Source'])
dropdown_menu = dcc.Dropdown(id='data-input-' + APPS_NAME,
options=[ {'label': 'MAL', 'value': 'Score'}],
value=['Score'],
multi=True)
table = dash_table.DataTable(
id='table',
columns=[{"name": i, "id": i} for i in df_table.columns],
style_cell={'textAlign': 'center'},
style_header={
'backgroundColor': 'rgb(230, 230, 230)',
'fontWeight': 'bold'
