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toga-barcode-scanner 📷📦

Python 3.13+ BeeWare License: MIT

A cross-platform, native camera barcode and QR code scanner hardware plugin for the BeeWare (Toga) ecosystem.

Offloads computer vision recognition to native operating system frameworks (AVFoundation on iOS, CameraX + Google ML Kit on Android) without blocking the Python GIL or UI rendering, providing instant scanning throughput with seamless mock fallbacks for desktop development.


🚀 Quick Start

Installation

pip install toga-barcode-scanner

For iOS development environments:

pip install "toga-barcode-scanner[ios]"

Usage Example

import toga
from toga_barcode_scanner import BarcodeScanner, BarcodeFormat, BarcodeResult, ScanMode

class SodaTryMobileApp(toga.App):
    def startup(self):
        # 1. Initialize the scanner instance
        self.scanner = BarcodeScanner(
            app=self,
            on_barcode=self.handle_barcode,
            on_error=self.handle_error,
            formats=[BarcodeFormat.UPC_A, BarcodeFormat.EAN_13, BarcodeFormat.QR_CODE],
            scan_mode=ScanMode.SINGLE_SHOT,
            beep_on_scan=True,
            debounce_ms=300,
        )

        # 2. Add trigger button
        self.main_window = toga.MainWindow(title="Soda Catalog Scanner")
        self.main_window.content = toga.Button(
            "Scan Soda Barcode",
            on_press=lambda widget: self.scanner.start_scan(parent_window=self.main_window)
        )
        self.main_window.show()

    def handle_barcode(self, result: BarcodeResult):
        print(f"Scanned {result.format.value}: {result.raw_value}")
        # Process product lookup...
        self.main_window.info_dialog("Scan Result", f"Found barcode: {result.raw_value}")

    def handle_error(self, error_message: str):
        self.main_window.error_dialog("Camera Error", error_message)

def main():
    return SodaTryMobileApp("SodaTry", "com.sodatry.mobile")

if __name__ == "__main__":
    main().main_loop()

📱 Platform Support

Platform Underlying Engine Direct Hardware Acceleration
iOS AVFoundation + UIKit via rubicon-objc ✅ Native Metal / Apple Neural Engine
Android CameraX + Google ML Kit Barcode Scanning ✅ Native GPU / Android NNAPI
Desktop (macOS / Linux / Windows) Dummy Mock / Synthetic Event Injection 🧪 Headless CI & Mock Dialogs

🛠️ Briefcase Packaging Configuration

When packaging your BeeWare application using briefcase, configure target platform permissions and dependencies in pyproject.toml:

iOS Configuration (NSCameraUsageDescription)

In your app's pyproject.toml:

[tool.briefcase.app.myapp.iOS]
info_plist_extra = { "NSCameraUsageDescription" = "Camera access is required to scan product barcodes." }

Android Configuration (Permissions & Gradle Dependencies)

In your app's pyproject.toml:

[tool.briefcase.app.myapp.android]
permissions = [
    "android.permission.CAMERA",
]
features = [
    "android.hardware.camera",
]
build_gradle_dependencies = [
    "androidx.camera:camera-core:1.3.1",
    "androidx.camera:camera-camera2:1.3.1",
    "androidx.camera:camera-lifecycle:1.3.1",
    "androidx.camera:camera-view:1.3.1",
    "com.google.mlkit:barcode-scanning:17.2.0",
]

🧪 Testing & Synthetic Event Injection

The dummy backend allows programmatic simulation of barcode events for headless CI and desktop testing without physical cameras:

from toga_barcode_scanner import BarcodeScanner, BarcodeFormat

scanner = BarcodeScanner(
    on_barcode=lambda res: print(f"Received {res.raw_value}"),
    backend="dummy",
)

scanner.start_scan()
# Programmatically inject a barcode scan event
scanner._inject_barcode("012000000133", BarcodeFormat.UPC_A)

📖 Documentation


📄 License

Distributed under the MIT License. See LICENSE for details.

Metadata

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