2025-08-24 21:28:33 +02:00
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import pandas as pd
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2025-09-07 20:16:56 +02:00
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from dash import Dash, dcc, html, dash_table, Input, Output, State, callback_context
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from datetime import datetime
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import os
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import dash_bootstrap_components as dbc
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2025-08-24 21:28:33 +02:00
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from ..data.loader import DataSchema
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from . import ids
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def render(app: Dash, data: pd.DataFrame) -> html.Div:
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@app.callback(
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2025-09-06 07:27:08 +02:00
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Output(ids.DATA_TABLE, "children"),
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2025-08-24 21:28:33 +02:00
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[
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Input(ids.YEAR_DROPDOWN, "value"),
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2025-09-07 20:16:56 +02:00
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Input(ids.WEEK_DROPDOWN, "value"),
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2025-08-24 21:28:33 +02:00
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Input(ids.CATEGORY_DROPDOWN, "value"),
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],
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)
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2025-09-05 05:46:52 +02:00
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def update_data_table(
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years: list[str], weeks: list[str], categories: list[str]
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) -> html.Div:
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filtered_data = data.query(
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2025-09-07 20:16:56 +02:00
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"year in @years and week in @weeks and category in @categories"
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2025-08-24 21:28:33 +02:00
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)
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if filtered_data.shape[0] == 0:
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return html.Div("No data selected.")
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2025-09-07 20:16:56 +02:00
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pt = filtered_data.pivot_table(
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values=DataSchema.AMOUNT,
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index=[DataSchema.CATEGORY],
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aggfunc="sum",
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fill_value=0,
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dropna=False,
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).reset_index().sort_values(DataSchema.AMOUNT, ascending=False)
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columns = [{"name": i.capitalize(), "id": i} for i in pt.columns]
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return dash_table.DataTable(
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id=ids.CATEGORY_TABLE,
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data=pt.to_dict("records"),
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columns=columns,
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row_selectable='single',
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selected_rows=[]
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)
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2025-09-07 20:16:56 +02:00
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@app.callback(
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Output(ids.FEEDBACK_MODAL, "is_open"),
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Output(ids.FEEDBACK_MESSAGE, "children"),
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Input(ids.CATEGORY_TABLE, "selected_rows"),
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Input(ids.SAVE_FEEDBACK_BUTTON_POPUP, "n_clicks"),
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Input(ids.CLOSE_FEEDBACK_BUTTON_POPUP, "n_clicks"),
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State(ids.FEEDBACK_MODAL, "is_open"),
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State(ids.CATEGORY_TABLE, "data"),
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State(ids.FEEDBACK_INPUT, "value"),
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)
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def handle_feedback_modal(selected_rows, save_clicks, close_clicks, is_open, data, comment):
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ctx = callback_context
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if not ctx.triggered:
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return False, ""
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triggered_id = ctx.triggered[0]['prop_id'].split('.')[0]
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if triggered_id == ids.CATEGORY_TABLE and selected_rows:
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return True, ""
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if triggered_id == ids.SAVE_FEEDBACK_BUTTON_POPUP and selected_rows:
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selected_row_data = data[selected_rows[0]]
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category = selected_row_data[DataSchema.CATEGORY]
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timestamp = datetime.now().strftime('%Y-%m-%d %H:%M:%S')
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if not comment:
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comment = ""
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feedback_data = f'{timestamp},{category},"{comment}"\n'
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file_path = "data/feedback.csv"
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try:
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is_new_file = not os.path.exists(file_path) or os.path.getsize(file_path) == 0
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with open(file_path, "a") as f:
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if is_new_file:
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f.write("timestamp,category,comment\n")
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f.write(feedback_data)
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message = f"Feedback for category '{category}' has been saved successfully at {timestamp}."
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return False, message
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except Exception as e:
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return True, "An error occurred while saving feedback."
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if triggered_id == ids.CLOSE_FEEDBACK_BUTTON_POPUP:
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return False, ""
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return is_open, ""
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@app.callback(
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Output("feedback-category-label", "children"),
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Input(ids.CATEGORY_TABLE, "selected_rows"),
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State(ids.CATEGORY_TABLE, "data"),
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prevent_initial_call=True
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)
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def update_feedback_category_label(selected_rows, data):
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if selected_rows:
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category = data[selected_rows[0]][DataSchema.CATEGORY]
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return f"Category: {category}"
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return "Category: "
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modal = dbc.Modal(
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[
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dbc.ModalHeader(dbc.ModalTitle("Submit Feedback")),
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dbc.ModalBody([
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html.H6("Category: ", id="feedback-category-label"),
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dcc.Input(id=ids.FEEDBACK_INPUT, type='text', placeholder='Enter feedback...', style={'width': '100%'}),
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]),
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dbc.ModalFooter([
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dbc.Button("Save", id=ids.SAVE_FEEDBACK_BUTTON_POPUP, className="ms-auto", n_clicks=0),
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dbc.Button("Close", id=ids.CLOSE_FEEDBACK_BUTTON_POPUP, className="ms-auto", n_clicks=0)
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]),
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],
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id=ids.FEEDBACK_MODAL,
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is_open=False,
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)
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return html.Div([
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html.Div(id=ids.DATA_TABLE),
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html.Div(id=ids.FEEDBACK_MESSAGE),
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modal
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])
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