การกำหนด Style แบบ DRY สำหรับ Dash Components

from dash import Dash, dcc, html, Input, Output, callback
import plotly.express as px
import pandas as pd
from datetime import datetime, date
ecom_sales = pd.read_csv('/usr/local/share/datasets/ecom_sales.csv')
logo_link = 'https://assets.datacamp.com/production/repositories/5893/datasets/fdbe0accd2581a0c505dab4b29ebb66cf72a1803/e-comlogo.png'
ecom_sales['InvoiceDate'] = pd.to_datetime(ecom_sales['InvoiceDate'])

app = Dash()

def make_break(num_breaks):
    br_list = [html.Br()] * num_breaks
    return br_list

def add_logo():
    corp_logo = html.Img(
        src=logo_link, 
        style={'width':'75px','margin':'20px 20px 5px 5px','border':'1px dashed lightblue','display':'inline-block'})     
    return corp_logo

# Create a function to add corporate styling
def style_c():
    layout_style = {____}
    return layout_style

app.layout = [
  add_logo(),
  # Insert two HTML breaks
  ____,
  html.H1('Sales breakdowns'),
  # Insert three HTML breaks
  ____,
  html.Div([
    add_logo(),
    # Style using the styling function
    html.H2('Controls', style=____),
    add_logo(),
    html.H3('Sale Date Select'),
    # Insert two HTML breaks
    ____,
    dcc.DatePickerSingle(
      id='sale_date',
      min_date_allowed=ecom_sales.InvoiceDate.min(),
      max_date_allowed=ecom_sales.InvoiceDate.max(),
      initial_visible_month=date(2011, 4, 1),
      date=date(2011, 4, 11),
      # Add styling using the styling function
      style={'width':'200px'}.____(____))],
    style={'width':'350px', 'height':'350px', 'vertical-align':'top', 'border':'1px solid black',
           'display':'inline-block', 'margin':'0px 40px'}),
  html.Div([
    dcc.Graph(id='sales_cat'),
    html.H2('Daily Sales by Major Category', style={'border':'2px solid black', 'width':'400px', 'margin':'0 auto'})],
    style={'width':'700px','display':'inline-block'}),
  add_logo()
]

@callback(
    Output(component_id='sales_cat', component_property='figure'),
    Input(component_id='sale_date', component_property='date')
)
def update_plot(input_date):
    sales = ecom_sales.copy(deep=True)
    if input_date:
        sales = sales[sales['InvoiceDate'] == input_date]
    ecom_bar_major_cat = sales.groupby('Major Category')['OrderValue'].agg('sum').reset_index(name='Total Sales ($)')
    bar_fig_major_cat = px.bar(
        title=f'Sales on: {input_date}',data_frame=ecom_bar_major_cat, orientation='h', 
        x='Total Sales ($)', y='Major Category')
    return bar_fig_major_cat

if __name__ == '__main__':
    app.run(debug=True)