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>
file-entry-cache
Super simple cache for file metadata, useful for process that work o a given series of files and that only need to repeat the job on the changed ones since the previous run of the process — Edit
install
npm i --save file-entry-cache
Usage
The module exposes two functions create and createFromFile.
create(cacheName, [directory, useCheckSum])
- cacheName: the name of the cache to be created
- directory: Optional the directory to load the cache from
- usecheckSum: Whether to use md5 checksum to verify if file changed. If false the default will be to use the mtime and size of the file.
createFromFile(pathToCache, [useCheckSum])
- pathToCache: the path to the cache file (this combines the cache name and directory)
- useCheckSum: Whether to use md5 checksum to verify if file changed. If false the default will be to use the mtime and size of the file.
// loads the cache, if one does not exists for the given
// Id a new one will be prepared to be created
var fileEntryCache = require('file-entry-cache');
var cache = fileEntryCache.create('testCache');
var files = expand('../fixtures/*.txt');
// the first time this method is called, will return all the files
var oFiles = cache.getUpdatedFiles(files);
// this will persist this to disk checking each file stats and
// updating the meta attributes `size` and `mtime`.
// custom fields could also be added to the meta object and will be persisted
// in order to retrieve them later
cache.reconcile();
// use this if you want the non visited file entries to be kept in the cache
// for more than one execution
//
// cache.reconcile( true /* noPrune */)
// on a second run
var cache2 = fileEntryCache.create('testCache');
// will return now only the files that were modified or none
// if no files were modified previous to the execution of this function
var oFiles = cache.getUpdatedFiles(files);
// if you want to prevent a file from being considered non modified
// something useful if a file failed some sort of validation
// you can then remove the entry from the cache doing
cache.removeEntry('path/to/file'); // path to file should be the same path of the file received on `getUpdatedFiles`
// that will effectively make the file to appear again as modified until the validation is passed. In that
// case you should not remove it from the cache
// if you need all the files, so you can determine what to do with the changed ones
// you can call
var oFiles = cache.normalizeEntries(files);
// oFiles will be an array of objects like the following
entry = {
key: 'some/name/file', the path to the file
changed: true, // if the file was changed since previous run
meta: {
size: 3242, // the size of the file
mtime: 231231231, // the modification time of the file
data: {} // some extra field stored for this file (useful to save the result of a transformation on the file
}
}
Motivation for this module
I needed a super simple and dumb in-memory cache with optional disk persistence (write-back cache) in order to make
a script that will beautify files with esformatter to execute only on the files that were changed since the last run.
In doing so the process of beautifying files was reduced from several seconds to a small fraction of a second.
This module uses flat-cache a super simple key/value cache storage with
optional file persistance.
The main idea is to read the files when the task begins, apply the transforms required, and if the process succeed,
then store the new state of the files. The next time this module request for getChangedFiles will return only
the files that were modified. Making the process to end faster.
This module could also be used by processes that modify the files applying a transform, in that case the result of the
transform could be stored in the meta field, of the entries. Anything added to the meta field will be persisted.
Those processes won't need to call getChangedFiles they will instead call normalizeEntries that will return the
entries with a changed field that can be used to determine if the file was changed or not. If it was not changed
the transformed stored data could be used instead of actually applying the transformation, saving time in case of only
a few files changed.
In the worst case scenario all the files will be processed. In the best case scenario only a few of them will be processed.
Important notes
- The values set on the meta attribute of the entries should be
stringify-ableones if possible, flat-cache usescircular-jsonto try to persist circular structures, but this should be considered experimental. The best results are always obtained with non circular values - All the changes to the cache state are done to memory first and only persisted after reconcile.
License
MIT