Jake Pullen
86 lines
2.5 KiB
Python
86 lines
2.5 KiB
Python
import polars as pl
|
|
import plotly.express as px
|
|
from dash import Dash, html, dcc
|
|
import dash_bootstrap_components as dbc
|
|
from dash.dash_table import DataTable
|
|
|
|
# Incorporate data
|
|
df = pl.read_parquet('data/warehouse/transactions.parquet')
|
|
print("Data loaded from Parquet file:")
|
|
print(df)
|
|
|
|
relevant_data = df.sql('''
|
|
SELECT
|
|
date,
|
|
sum(transaction_amount) as total
|
|
FROM self
|
|
GROUP BY date
|
|
ORDER BY date DESC
|
|
'''
|
|
)
|
|
print("Data after SQL query:")
|
|
print(relevant_data)
|
|
|
|
# Convert DataFrame to list of dictionaries
|
|
data = relevant_data.to_dicts()
|
|
print("Data converted to list of dictionaries:")
|
|
print(data)
|
|
|
|
# Initialize the app with a dark theme
|
|
app = Dash(external_stylesheets=[dbc.themes.DARKLY])
|
|
|
|
# Create the line graph with dark mode styling
|
|
fig = px.line(relevant_data.to_pandas(), x="date", y="total", title='Spend Per Day')
|
|
fig.update_layout(
|
|
plot_bgcolor='black',
|
|
paper_bgcolor='black',
|
|
font_color='white'
|
|
)
|
|
|
|
# App layout
|
|
app.layout = dbc.Container(
|
|
[
|
|
dbc.Row(
|
|
dbc.Col(html.Div("My First App with My Data", className="text-center text-light"), width=12)
|
|
),
|
|
dbc.Row(
|
|
[
|
|
dbc.Col(
|
|
dbc.Card(
|
|
dbc.CardBody(
|
|
[
|
|
html.H4("Data Table", className="card-title"),
|
|
DataTable(
|
|
data=data,
|
|
columns=[{"name": i, "id": i} for i in relevant_data.columns],
|
|
page_size=5,
|
|
style_header={'backgroundColor': 'black', 'color': 'white'},
|
|
style_cell={'backgroundColor': 'black', 'color': 'white'}
|
|
)
|
|
]
|
|
),
|
|
className="mb-4"
|
|
),
|
|
width=6
|
|
),
|
|
dbc.Col(
|
|
dbc.Card(
|
|
dbc.CardBody(
|
|
[
|
|
html.H4("Spend Per Day", className="card-title"),
|
|
dcc.Graph(figure=fig)
|
|
]
|
|
),
|
|
className="mb-4"
|
|
),
|
|
width=6
|
|
)
|
|
]
|
|
)
|
|
],
|
|
fluid=True
|
|
)
|
|
|
|
# Run the app
|
|
if __name__ == '__main__':
|
|
app.run(debug=True) |