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031-flash-card/README.md
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Tirsvad 9c8e294021 MIL-010 plan and documents: release v0.1.0
Milestone MIL-010, story US-001.08, BC-001 and PP-001 amended (the release
of the executable is in scope), CHANGELOG.md for 0.1.0, and links to the
release page in README and the Install page of the wiki. Review records
RC-051 to RC-054, all Go (autonomous mode, not independent).

Task: MIL-010#1
Task: MIL-010#2
2026-10-15 08:37:38 +08:00

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# 🚀 Flash Card
A flash card program for learning the most frequent Malay words with their Danish translations. It is the solution of day 31 of Udemy's *100 Days of Code: The Complete Python Pro Bootcamp*, written for course participants who want to compare solutions and for visitors who browse the repository for ideas.
## 📚 Table of Contents
- [Overview](#-overview)
- [Requirements](#-requirements)
- [Setup](#-setup)
- [Run](#-run)
- [Tests](#-tests)
- [License](#-license)
- [Links](#-links)
- [Appendix: Project documents](#-appendix-project-documents)
## 🧭 Overview
The program first asks for a level: the first 100 words, the first 1000 words or all words of the word list, which is ordered from the most to the least frequent word. Then it shows a Malay word on a card. After three seconds the card turns over and shows the Danish translation. You press the green tick when you know the word and the red cross when you do not. A known word is removed from the words to learn, and the words still to learn are saved, so the next start continues where you stopped.
| Part | What it is for |
| --- | --- |
| `src/flash_card/` | The program, in four layers: `domain`, `application`, `infrastructure`, `presentation` |
| `tests/` | `pytest` tests: `unit`, `integration`, `e2e` |
| `data/` | The word list `ms-da.csv` and, after the first known word, your own `words_to_learn.csv` |
| `docs/` | Project documents (business case, plan, design, review records), `docs/wiki/` and `docs/images/` |
| `tools/` | Helper scripts: `generate_images.py`, `capture_screenshots.py` and `build_executable.py` |
| `Doxyfile` | Doxygen configuration for the source code documentation |
The core program uses only the Python standard library. Spoken Malay words are an optional extra.
### Screenshots
| Choose your level | Front: the Malay word | Back: the Danish translation after 3 seconds |
| --- | --- | --- |
| ![The level screen][screenshot-level] | ![The front of a card][screenshot-front] | ![The back of a card][screenshot-back] |
### Where is each assignment step?
| Assignment step | Code |
| --- | --- |
| 1. User interface | `FlashCardView.__init__` in `src/flash_card/presentation/features/flash_card/flash_card_view.py`; images made by `tools/generate_images.py` |
| 2. New flash cards | `CsvVocabularyRepository` (the standard library `csv` instead of `pandas`), `Deck.draw`, `StudySession.next_card`, `FlashCardView.next_card` |
| 3. Flip the cards | `FlashCardView.flip_card` and `FlashCardView.flip_timer` (`after`, `after_cancel`), `FlashCardViewModel.flip_card` |
| 4. Save your progress | `FlashCardView.is_known`, `StudySession.mark_known`, `CsvProgressRepository` |
| Extra: level choice | `LevelView`, `LevelViewModel`, `Level`, `Deck.within`, `StudySession.next_card`, `open_study_session` |
| Extra: spoken word | `GttsSpeech`, `NullSpeech`, `build_speech` in `presentation/app.py` |
The wiki ([English][wiki-en], [Dansk][wiki-da], [Bahasa Malaysia][wiki-ms]) explains the same in three languages.
### Data
`data/ms-da.csv` holds 1000 frequent Malay words with a Danish machine translation; see [data/README.md][data-readme] for the format and origin.
## 📋 Requirements
| Need | Why |
| --- | --- |
| Python 3.13 or later, with Tkinter | The program and its window (Tkinter is part of the standard Python installers for Windows and macOS; on Debian or Ubuntu install `python3-tk`) |
| `git` | To clone the repository |
| Doxygen (optional) | To build the source code documentation |
| `pyinstaller` (optional, extra `build`) | To build a single executable file (see Run) |
| `gTTS` and `playsound==1.2.2` (optional, extra `speech`) | To hear the Malay word; needs a network connection |
## 🛠️ Setup
Create a virtual environment in `.venv`, activate it, upgrade pip and install the project. Run the commands in the repository folder.
Windows (PowerShell):
```powershell
python -m venv .venv
.\.venv\Scripts\Activate.ps1
python -m pip install --upgrade pip
python -m pip install -e ".[dev]"
```
Linux and macOS:
```bash
python3 -m venv .venv
source .venv/bin/activate
python -m pip install --upgrade pip
python -m pip install -e ".[dev]"
```
- Use `python -m pip install -e .` if you only want to run the program; the `dev` extra adds `pytest`, `ruff`, `mypy` and `import-linter`.
- Add the spoken word with `python -m pip install -e ".[speech]"`.
- If PowerShell refuses to run `Activate.ps1`, run `Set-ExecutionPolicy -Scope CurrentUser RemoteSigned` once, or use `.\.venv\Scripts\activate.bat` in `cmd`.
- Leave the environment with `deactivate`. Delete the `.venv` folder to start over.
## ▶️ Run
```bash
python -m flash_card
```
The program is run from the activated `.venv`. The window opens with the level screen: choose 100 words, 1000 words or All words. Then a card appears. Press the green tick for a word you know and the red cross for a word you do not. Options:
| Option | Meaning |
| --- | --- |
| `--data-dir <folder>` | Folder with `ms-da.csv` and `words_to_learn.csv` |
| `--level {100,1000,all}` | Start at that level and skip the level screen |
| `--no-speech` | Do not speak the Malay word |
Known words stay known at every level: the level only limits which of the words you do not know yet come up. To start again, delete `data/words_to_learn.csv`.
### Executable (Windows, no Python needed to run it)
Download `flash-card.exe` and `flash-card.exe.sha256` from the [release page][release-0-1-0] and compare the SHA-256 hash of the file with the checksum file, or build it yourself:
```powershell
python -m pip install -e ".[build,speech]"
python tools/build_executable.py
```
The script builds `dist/flash-card.exe`: one file, no console window, with the images, the word list and the spoken word inside. Open it by double-clicking. It keeps your progress in a `data/` folder next to the executable (`data/words_to_learn.csv`); a `data/ms-da.csv` next to it replaces the word list inside. Add `--no-speech` to the build script to leave the speech packages out. The executable is a build output and is not committed; build it on the system you want to run it on (Windows, Linux or macOS).
## 🧪 Tests
```bash
python -m pytest
```
Quality checks used by the project:
```bash
python -m ruff check src tests
python -m mypy
lint-imports
```
The window test in `tests/e2e/` is skipped when no display is available.
Build the source code documentation (Doxygen comments) with `doxygen Doxyfile`; the HTML is written to `docs/doxygen/html/`. The screenshots are made with `python tools/capture_screenshots.py` after `python -m pip install -e ".[tools]"` (Pillow, tool only).
## 📄 License
GNU Affero General Public License v3.0 or later. See [LICENSE][license].
## 🔗 Links
- [Repository][repository]
- [Documentation][documentation]
- [Issue tracker][issues]
- [Releases][releases] (the Windows executable `flash-card.exe` and its checksum)
## 📎 Appendix: Project documents
The documents a newcomer needs, in reading order.
| Document | What it tells you |
| --- | --- |
| [AGENTS.md][agents] | The rules AI agents follow in this repository |
| [Business Case][BC-001] | Why the project exists, its scope and success criteria |
| [Stakeholder Analysis][SA-001] | Who is involved; the stakeholder IDs used for owners and reviewers |
| [Project Plan][PP-001] | The gateways and their schedule |
| [Milestones][milestones] | One document per gateway: Go/No-Go criteria and tasks |
| [Artifact registry][registry] | Where each artifact type lives, the next version, the PO language and domain |
| [Domain dictionary][DICT-001] | The PO terms and the IT terms |
| [Traceability matrix][TM-001] | How the artifacts link and when each was last reviewed |
| [Framework README][framework-readme] | The framework this project uses |
| [Framework changelog][framework-changelog] | What changed in each framework release |
---
[license]: ./LICENSE
[screenshot-level]: ./docs/images/screenshot-level.png
[screenshot-front]: ./docs/images/screenshot-front.png
[screenshot-back]: ./docs/images/screenshot-back.png
[wiki-en]: https://git.tirsystem.com/Tirsvad-Udemy-100-days-of-code/031-flash-card/wiki/Home
[wiki-da]: https://git.tirsystem.com/Tirsvad-Udemy-100-days-of-code/031-flash-card/wiki/Home-da
[wiki-ms]: https://git.tirsystem.com/Tirsvad-Udemy-100-days-of-code/031-flash-card/wiki/Home-ms
[data-readme]: ./data/README.md
[repository]: https://git.tirsystem.com/Tirsvad-Udemy-100-days-of-code/031-flash-card
[documentation]: https://git.tirsystem.com/Tirsvad-Udemy-100-days-of-code/031-flash-card/wiki
[issues]: https://git.tirsystem.com/Tirsvad-Udemy-100-days-of-code/031-flash-card/issues
[releases]: https://git.tirsystem.com/Tirsvad-Udemy-100-days-of-code/031-flash-card/releases
[release-0-1-0]: https://git.tirsystem.com/Tirsvad-Udemy-100-days-of-code/031-flash-card/releases/tag/v0.1.0
[agents]: ./AGENTS.md
[BC-001]: ./docs/business-case.md
[SA-001]: ./docs/stakeholder-analysis.md
[PP-001]: ./docs/project-plan.md
[milestones]: ./docs/milestones/
[registry]: ./docs/artifact-registry.md
[DICT-001]: ./docs/dictionary.md
[TM-001]: ./docs/sqa/traceability-matrix.md
[framework-readme]: ./framework/README.md
[framework-changelog]: ./framework/CHANGELOG.md