flutter_visual_test_runner 1.0.0

In-app visual test runner dashboard for Flutter apps with live highlights, gesture simulation, natural language DSL, and report generation.

Changelog

All notable changes to this project will be documented in this file.

1.0.0

• Initial Stable Release of flutter_visual_test_runner.
• Zero-Friction In-App Test Dashboard:
  • Seamless root overlay integration wrapping MaterialApp, CupertinoApp, and WidgetsApp.
  • Minimized draggable floating badge showing live pass/fail status and progress counters.
  • Glassmorphic expandable drawer with scenario/test tree view, individual test playback, and real-time logs.
• Cyberpunk Visual Overlays:
  • Animated glowing neon bounding boxes with pulsing technical corner brackets and center crosshair ripples.
  • Realistic touch shockwave indicators for taps, double-taps, long-presses, drags, and typing.
  • Floating top HUD banner with dynamic step description and status icons.
• Natural English & Markdown Test DSL:
  • Human-readable step actions (Tap, Enter ... into ..., Expect ... to be visible, Scroll down, Wait).
  • Direct support for Markdown (.md), Plain Text (.txt), and YAML (.yaml) test specification files.
• Intelligent TestCaseConverter:
  • Auto-converts loose informal intent descriptions (test login, test dashboard, test add to cart) into full canonical test suites.
  • Custom domain-specific intent template registration (TestCaseConverter.registerTemplate).
• Interactive Test Controls & Step Debugger:
  • Play, Pause, Resume, Step-by-Step execution mode.
  • Configurable speed multipliers (0.25x, 0.5x, 1.0x, 2.0x, 4.0x).
  • Support for autoStart and autoStartDelay.
• Intelligent Target Discovery & Viewport Auto-Scroll:
  • Scoped element matching by Key, Text, Type, Semantics, Tooltip, Hint, and Smart Fuzzy query.
  • Automatically calculates off-screen coordinates in scrollable widgets and smoothly scrolls targets into view.
• Standalone HTML & JSON Test Report Generation:
  • Export styled interactive HTML execution reports with metric cards and step timelines.
  • JSON and Markdown report serialization.