🐍 VaniPython — QA Automation Scripts

Python Utilities & Scripts for Android QA Automation

ADB tools · Camera metrics · Memory profiling · Defect analysis scripts

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📌 What Is This?

A personal collection of Python scripts and utilities built during 17+ years of QA automation work at Samsung R&D Institute India. Covers Android ADB automation, camera quality metrics, memory leak detection, and test data processing.

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📁 Scripts Overview

🔧 ADB Utilities

adb_device_monitor.py    → Monitor multiple devices, auto-reconnect on drop
adb_memory_tracker.py    → Track PSS/RSS memory over test iterations
adb_crash_parser.py      → Parse tombstone files, extract crash signatures
adb_logcat_filter.py     → Filter logcat by tag, priority, package name

📸 Camera Quality

ssim_calculator.py       → SSIM score between two images
psnr_calculator.py       → PSNR measurement for image fidelity
color_accuracy.py        → ΔE2000 color difference vs Macbeth chart
exif_reader.py           → Extract EXIF data (ISO, shutter, focal length)

🔍 Defect Analysis

defect_trend_analyzer.py → Sprint-wise defect trend visualization
duplicate_detector.py    → Find duplicate defects by NLP similarity
severity_classifier.py   → Auto-classify S1/S2/S3/S4 from description

📊 Test Data

test_data_generator.py   → Generate bulk test data (users, products, etc.)
csv_to_json.py           → Convert test data formats
fixture_builder.py       → Build pytest/Jest fixtures from Excel

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🚀 Quick Start

# Clone
git clone https://github.com/vanichalla24/vanipython.git
cd vanipython

# Install dependencies
pip install -r requirements.txt

# Run any script
python adb_memory_tracker.py --device emulator-5554 --package com.samsung.camera --iterations 20

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🔑 Key Scripts

Memory Leak Detector

# Tracks PSS memory over N iterations
# Flags if growth > threshold (default 50MB)
python adb_memory_tracker.py \
  --device emulator-5554 \
  --package com.samsung.camera \
  --iterations 50 \
  --threshold 50

SSIM Calculator

# Compare two images for structural similarity
python ssim_calculator.py \
  --reference reference_image.jpg \
  --test captured_image.jpg
# Output: SSIM Score: 0.943 (PASS — threshold 0.90)

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👩‍💻 Author

Vaani Challa — QA Architect | Samsung SRIB | 17+ Years Android · Camera · ISP Pipeline · Python · ADB

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📄 License

MIT © Vaani Challa