async def spending(item: Item):
"""
Make visualizations based on past spending 📊
### Request Body
- `bank_account_id`: int
- `graph_type`: str (pie or bar)
- `time_period`: str (week, month, year, all)
- `OPTIONAL: color_template`: [Color Template Options (Sequential only)](https://plotly.com/python/builtin-colorscales/#builtin-sequential-color-scales)
- `OPTIONAL: hole`: float (0 - 1)
### Response
- `plotly object`:
visualizing the user's spending habits in the form of the selected graph
type.
"""
# Get the JSON object from the request body and cast it to a dictionary
input_dict = item.to_dict()
bank_account_id = input_dict['bank_account_id']
graph_type = input_dict['graph_type']
time_period = input_dict['time_period']
color_template = input_dict['color_template']
hole = input_dict['hole']
transactions = load_user_data(bank_account_id)
user = User(transactions, hole=hole)
if graph_type == 'pie':
return user.categorical_spending(time_period=time_period,
color_template=color_template)
if graph_type == 'bar':
return user.bar_viz(time_period=time_period,
color_template=color_template)
