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flet-utils

Utility helpers, reusable components and a lightweight storage layer for Flet 0.23.0 applications.

Features

  • AppStorage — one-line SQLite setup: creates all required tables automatically.
  • import_data — load rows from an .xlsx file into any table.
  • build_columns / build_rows — generate DataColumn / DataRow lists with optional action buttons based on the current user role.
  • build_product_cards — render a list of product Card widgets with discount highlighting and role-based controls.
  • run — launch the bundled reference application.

Requirements

  • Python ≥ 3.8
  • flet == 0.23.0
  • pandas
  • openpyxl

Installation

pip install flet-utils

Quick start

from flet_utils import AppStorage, import_data

store = AppStorage("my_app")
db = store.db

import_data(db, "products.xlsx", "products")

Run the reference app

flet-utils

or from Python:

from flet_utils import run
run()

Module overview

Module Purpose
flet_utils.storage AppStorage — initialises the SQLite database
flet_utils.importer import_data — Excel → table
flet_utils.components build_columns, build_rows, build_product_cards
flet_utils.app main, run — complete Flet application

License

MIT

Metadata

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