mirror of
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122 lines
4.4 KiB
Markdown
122 lines
4.4 KiB
Markdown
# Development
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## Notes on development methodology
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**This project was completely vibe-coded**, 100%, with the help of Claude Code and Opus 4.5. There it is, I said it, the shame is now gone.
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I am/was pretty skeptical on LLM-generated code and this was born as an experiment to learn how it actually was to *vibe-code* something from scratch.
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Turns out it's pretty awesome and easy to follow the happy path for a stock, modern Android app which just displays data consumed from a JSON REST API.
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I'm a DevOps guy and I have zero mobile development skills, so achieving this can be considered pretty awesome in my book. But I'm pretty sure in the eyes of a skilled Kotlin Android developer, this code might induce different feelings.
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At the moment, I completely depend on CC to maintain the app, but I would like to take this opportunity as an excuse to learn more about the Android development ecosystem, beside learning how to tame an LLM agent.
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### Project Structure
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```
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matedroid/
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├── app/src/main/java/com/matedroid/
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│ ├── data/ # Data layer (API, repository, local storage)
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│ ├── domain/ # Domain layer (models, use cases)
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│ ├── ui/ # UI layer (screens, components, theme)
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│ └── di/ # Dependency injection modules
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├── gradle/ # Gradle wrapper and version catalog
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├── util/ # Utility scripts
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├── ASSETS.md # Tesla car image asset documentation
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└── PLAN.md # Detailed implementation plan
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```
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### Tech Stack
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- **Language**: Kotlin
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- **UI**: Jetpack Compose with Material Design 3
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- **Architecture**: MVVM + Clean Architecture
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- **DI**: Hilt
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- **Networking**: Retrofit + OkHttp + Moshi
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- **Local Storage**: DataStore
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- **Charts**: Vico
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- **Maps**: osmdroid (OpenStreetMap)
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### Utility Scripts
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#### `util/fetch_tesla_assets.py`
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Python script to download Tesla car 3D renders from Tesla's compositor service. Requires [uv](https://github.com/astral-sh/uv) for dependency management.
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```bash
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# Download all car images (Model 3 & Y, various colors/wheels)
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./util/fetch_tesla_assets.py
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# Preview what would be downloaded
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./util/fetch_tesla_assets.py --dry-run
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# Custom output directory
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./util/fetch_tesla_assets.py --output-dir /path/to/assets
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```
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See [ASSETS.md](ASSETS.md) for detailed documentation on Tesla compositor APIs, color/wheel code mappings, and troubleshooting.
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### Running Tests
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```bash
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# Unit tests
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./gradlew test
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# Instrumented tests (requires emulator/device)
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./gradlew connectedAndroidTest
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```
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### Releasing
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Releases are automated via GitHub Actions. When a release is published, the workflow builds the APK and attaches it to the release.
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```bash
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# 1. Update version in app/build.gradle.kts (versionCode and versionName)
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# 2. Update CHANGELOG.md with release notes
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# 3. Commit and push
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# 4. Create a release with GitHub CLI
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gh release create v0.5.0 --generate-notes
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# Or create a draft release to edit notes first
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gh release create v0.5.0 --generate-notes --draft
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```
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#### Signing Configuration (Optional)
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For release signing with a custom keystore, set these repository secrets:
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- `KEYSTORE_BASE64`: Base64-encoded keystore file (`base64 -w0 your.keystore`)
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- `KEYSTORE_PASSWORD`: Keystore password
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- `KEY_ALIAS`: Key alias
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- `KEY_PASSWORD`: Key password
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Without secrets, the APK is signed with a debug keystore (fine for sideloading, not for Play Store).
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### Development Workflow
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1. Start your Android emulator or connect a device
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2. Build and install: `make install`
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3. View logs: `adb logcat | grep -i matedroid`
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#### Makefile Targets
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| Target | Description |
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|----------------|-------------------------------------------------|
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| `make build` | Build debug APK |
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| `make install` | Build and install debug APK on connected device |
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| `make run` | Build, install, and launch the app |
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| `make clean` | Clean build artifacts |
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| `make test` | Run unit tests |
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Or use Android Studio:
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1. Open the project folder
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2. Wait for Gradle sync
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3. Click Run (green play button)
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## Configuration
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On first launch, you'll be prompted to configure your TeslamateApi connection:
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1. **Server URL**: Your TeslamateApi instance URL (e.g., `https://teslamate-api.example.com`)
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2. **API Token**: (Optional) If your instance requires authentication
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