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data_pipeline_for_YNAB/visuals/layout.py
T
2025-05-30 11:43:47 +01:00

115 lines
3.4 KiB
Python

from dash import html, dcc
from datetime import date
import dash_bootstrap_components as dbc
from datetime import timedelta
today = date.today()
one_year_ago = today - timedelta(days=365)
def create_layout(data):
main_body = create_main_body(data)
topbar = create_topbar()
return [html.Div(topbar + main_body)]
def create_topbar():
return [
dbc.Container([
dbc.Row(
dbc.Col(
html.Div(html.H1("Data Pipeline For YNAB, Preview Visualisations"),
className="text-center text-light",
),
width=12,
)
),
dbc.Row(
[
dbc.Col(
dcc.DatePickerRange(
first_day_of_week=1,
display_format="YYYY-MM-DD",
id="date-picker-range",
start_date=one_year_ago,
end_date=today,
),
width=4,
),
dbc.Col(
html.Button("Change Date Range", id="date-range-confirm-button"),
width=2,
),
]
)
]
)
]
def create_main_body(data):
return [
dbc.Container(
[
dbc.Row(
[dbc.Col(
dbc.Card(
dbc.CardBody(
[html.H4(
"Spend Per Day", className="card-title"
),
dcc.Graph(figure=data['spend_per_day_line'],id='spend_per_day'),
]
),
className="mb-4",
),
width=12,
)]
),
dbc.Row(
[dbc.Col(
dbc.Card(
dbc.CardBody(
[html.H4(
"Spend Per Category", className="card-title"
),
dcc.Graph(figure=data['spend_per_category_bar'],id='spend_per_category'),
]
),
className="mb-4",
),
width=5,
),
dbc.Col(
dbc.Card(
dbc.CardBody(
[
dcc.Markdown('## Total Spend:'),
dcc.Markdown(data['total_spend'],id='total_spend'),
],
),
className="text-center text-light",
),
width=2,
),
dbc.Col(
dbc.Card(
dbc.CardBody(
[
html.H4(
"Spend Per Payee", className="card-title"
),
dcc.Graph(figure=data['spend_per_payee_bar'],id='spend_per_payee'),
]
),
className="mb-4",
),
width=5,
),
]
),
],
fluid=True,
),
]