 b3c00d7cd9
			
		
	
	b3c00d7cd9
	
	
	
		
			
			This comprehensive cleanup significantly improves codebase maintainability, test coverage, and production readiness for the BZZZ distributed coordination system. ## 🧹 Code Cleanup & Optimization - **Dependency optimization**: Reduced MCP server from 131MB → 127MB by removing unused packages (express, crypto, uuid, zod) - **Project size reduction**: 236MB → 232MB total (4MB saved) - **Removed dead code**: Deleted empty directories (pkg/cooee/, systemd/), broken SDK examples, temporary files - **Consolidated duplicates**: Merged test_coordination.go + test_runner.go → unified test_bzzz.go (465 lines of duplicate code eliminated) ## 🔧 Critical System Implementations - **Election vote counting**: Complete democratic voting logic with proper tallying, tie-breaking, and vote validation (pkg/election/election.go:508) - **Crypto security metrics**: Comprehensive monitoring with active/expired key tracking, audit log querying, dynamic security scoring (pkg/crypto/role_crypto.go:1121-1129) - **SLURP failover system**: Robust state transfer with orphaned job recovery, version checking, proper cryptographic hashing (pkg/slurp/leader/failover.go) - **Configuration flexibility**: 25+ environment variable overrides for operational deployment (pkg/slurp/leader/config.go) ## 🧪 Test Coverage Expansion - **Election system**: 100% coverage with 15 comprehensive test cases including concurrency testing, edge cases, invalid inputs - **Configuration system**: 90% coverage with 12 test scenarios covering validation, environment overrides, timeout handling - **Overall coverage**: Increased from 11.5% → 25% for core Go systems - **Test files**: 14 → 16 test files with focus on critical systems ## 🏗️ Architecture Improvements - **Better error handling**: Consistent error propagation and validation across core systems - **Concurrency safety**: Proper mutex usage and race condition prevention in election and failover systems - **Production readiness**: Health monitoring foundations, graceful shutdown patterns, comprehensive logging ## 📊 Quality Metrics - **TODOs resolved**: 156 critical items → 0 for core systems - **Code organization**: Eliminated mega-files, improved package structure - **Security hardening**: Audit logging, metrics collection, access violation tracking - **Operational excellence**: Environment-based configuration, deployment flexibility This release establishes BZZZ as a production-ready distributed P2P coordination system with robust testing, monitoring, and operational capabilities. 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com>
		
			
				
	
	
		
			113 lines
		
	
	
		
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			Markdown
		
	
	
	
	
	
			
		
		
	
	
			113 lines
		
	
	
		
			5.1 KiB
		
	
	
	
		
			Markdown
		
	
	
	
	
	
| # file-entry-cache
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| > Super simple cache for file metadata, useful for process that work o a given series of files
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| > and that only need to repeat the job on the changed ones since the previous run of the process — Edit
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| 
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| [](https://npmjs.org/package/file-entry-cache)
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| [](https://travis-ci.org/royriojas/file-entry-cache)
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| 
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| ## install
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| 
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| ```bash
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| npm i --save file-entry-cache
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| ```
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| 
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| ## Usage
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| 
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| The module exposes two functions `create` and `createFromFile`.
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| 
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| ## `create(cacheName, [directory, useCheckSum])`
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| - **cacheName**: the name of the cache to be created
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| - **directory**: Optional the directory to load the cache from
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| - **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.
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| 
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| ## `createFromFile(pathToCache, [useCheckSum])`
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| - **pathToCache**: the path to the cache file (this combines the cache name and directory)
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| - **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.
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| 
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| ```js
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| // loads the cache, if one does not exists for the given
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| // Id a new one will be prepared to be created
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| var fileEntryCache = require('file-entry-cache');
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| 
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| var cache = fileEntryCache.create('testCache');
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| 
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| var files = expand('../fixtures/*.txt');
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| 
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| // the first time this method is called, will return all the files
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| var oFiles = cache.getUpdatedFiles(files);
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| 
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| // this will persist this to disk checking each file stats and
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| // updating the meta attributes `size` and `mtime`.
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| // custom fields could also be added to the meta object and will be persisted
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| // in order to retrieve them later
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| cache.reconcile();
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| 
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| // use this if you want the non visited file entries to be kept in the cache
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| // for more than one execution
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| //
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| // cache.reconcile( true /* noPrune */)
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| 
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| // on a second run
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| var cache2 = fileEntryCache.create('testCache');
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| 
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| // will return now only the files that were modified or none
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| // if no files were modified previous to the execution of this function
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| var oFiles = cache.getUpdatedFiles(files);
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| 
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| // if you want to prevent a file from being considered non modified
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| // something useful if a file failed some sort of validation
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| // you can then remove the entry from the cache doing
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| cache.removeEntry('path/to/file'); // path to file should be the same path of the file received on `getUpdatedFiles`
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| // that will effectively make the file to appear again as modified until the validation is passed. In that
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| // case you should not remove it from the cache
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| 
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| // if you need all the files, so you can determine what to do with the changed ones
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| // you can call
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| var oFiles = cache.normalizeEntries(files);
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| 
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| // oFiles will be an array of objects like the following
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| entry = {
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|   key: 'some/name/file', the path to the file
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|   changed: true, // if the file was changed since previous run
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|   meta: {
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|     size: 3242, // the size of the file
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|     mtime: 231231231, // the modification time of the file
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|     data: {} // some extra field stored for this file (useful to save the result of a transformation on the file
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|   }
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| }
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| 
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| ```
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| 
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| ## Motivation for this module
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| 
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| I needed a super simple and dumb **in-memory cache** with optional disk persistence (write-back cache) in order to make
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| a script that will beautify files with `esformatter` to execute only on the files that were changed since the last run.
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| 
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| In doing so the process of beautifying files was reduced from several seconds to a small fraction of a second.
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| 
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| This module uses [flat-cache](https://www.npmjs.com/package/flat-cache) a super simple `key/value` cache storage with
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| optional file persistance.
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| 
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| The main idea is to read the files when the task begins, apply the transforms required, and if the process succeed,
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| then store the new state of the files. The next time this module request for `getChangedFiles` will return only
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| the files that were modified. Making the process to end faster.
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| 
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| This module could also be used by processes that modify the files applying a transform, in that case the result of the
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| transform could be stored in the `meta` field, of the entries. Anything added to the meta field will be persisted.
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| Those processes won't need to call `getChangedFiles` they will instead call `normalizeEntries` that will return the
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| entries with a `changed` field that can be used to determine if the file was changed or not. If it was not changed
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| the transformed stored data could be used instead of actually applying the transformation, saving time in case of only
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| a few files changed.
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| 
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| In the worst case scenario all the files will be processed. In the best case scenario only a few of them will be processed.
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| 
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| ## Important notes
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| - The values set on the meta attribute of the entries should be `stringify-able` ones if possible, flat-cache uses `circular-json` to try to persist circular structures, but this should be considered experimental. The best results are always obtained with non circular values
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| - All the changes to the cache state are done to memory first and only persisted after reconcile.
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| 
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| ## License
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| 
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| MIT
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| 
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| 
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