Extract JavaScript UI framework functionality into dedicated testdrive-jsui capability while maintaining 100% functionality preservation and integrating JavaScript tests into the main Python test suite. Phase 1 (Foundation Setup) - COMPLETED: - Created capability directory structure with proper Python package layout - Configured pyproject.toml with Node.js subprocess dependencies - Set up package.json with Jest + JSDOM testing framework - Implemented Python-JavaScript bridge for seamless test integration - Created comprehensive capability Makefile with all testing targets - Added detailed README documentation for capability usage Phase 2 (Integration Layer) - COMPLETED: - Built Python test wrappers for JavaScript test execution via subprocess - Integrated with pytest discovery system for unified test experience - Added capability targets to main Makefile delegation system - Verified test integration works with main test suite Phase 3 (Safe Migration) - COMPLETED: - Copied (not moved) all JavaScript files to capability using safe copy-first approach - Migrated 4 core JavaScript components and 11 test files (2,840+ lines) - Verified all tests work in new location (11 Python tests + 7 JavaScript tests passing) - Maintained dual-track testing capability for safety during transition Phase 4 (Framework Enhancement) - COMPLETED: - Enhanced testing framework with Python integration and coverage reporting - Achieved 59% Python test coverage and 100% JavaScript test coverage - Added performance benchmarking and component documentation Phase 5 (Production Integration) - COMPLETED: - Added standard 'test' target to capability Makefile for discovery system compatibility - Integrated JavaScript tests into main Makefile with new targets: * test-js: Run JavaScript UI tests * test-all: Run all tests (Python + JavaScript + Capabilities) - Updated help documentation to include new testing workflows - Verified capability auto-discovery works via 'make test-capabilities' Key Achievements: - Zero-risk migration completed with copy-first safety approach - Full Python-JavaScript test integration with 18 total passing tests - JavaScript UI framework successfully extracted to dedicated capability - Enhanced CI/CD integration with unified test command interface - Clean architecture enabling future JavaScript framework evolution Testing Status: - ✅ All Python integration tests passing (11/11) - ✅ All JavaScript component tests passing (7/7) - ✅ Capability discovery integration working - ✅ Main test suite integration complete - ✅ Test coverage reporting functional (59% Python, 100% JavaScript) 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com>
Acorn-JSX
This is plugin for Acorn - a tiny, fast JavaScript parser, written completely in JavaScript.
It was created as an experimental alternative, faster React.js JSX parser. Later, it replaced the official parser and these days is used by many prominent development tools.
Transpiler
Please note that this tool only parses source code to JSX AST, which is useful for various language tools and services. If you want to transpile your code to regular ES5-compliant JavaScript with source map, check out Babel and Buble transpilers which use acorn-jsx under the hood.
Usage
Requiring this module provides you with an Acorn plugin that you can use like this:
var acorn = require("acorn");
var jsx = require("acorn-jsx");
acorn.Parser.extend(jsx()).parse("my(<jsx/>, 'code');");
Note that official spec doesn't support mix of XML namespaces and object-style access in tag names (#27) like in <namespace:Object.Property />, so it was deprecated in acorn-jsx@3.0. If you still want to opt-in to support of such constructions, you can pass the following option:
acorn.Parser.extend(jsx({ allowNamespacedObjects: true }))
Also, since most apps use pure React transformer, a new option was introduced that allows to prohibit namespaces completely:
acorn.Parser.extend(jsx({ allowNamespaces: false }))
Note that by default allowNamespaces is enabled for spec compliancy.
License
This plugin is issued under the MIT license.