 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>
		
			
				
	
	
		
			153 lines
		
	
	
		
			4.8 KiB
		
	
	
	
		
			JavaScript
		
	
	
	
	
	
			
		
		
	
	
			153 lines
		
	
	
		
			4.8 KiB
		
	
	
	
		
			JavaScript
		
	
	
	
	
	
| 'use strict';
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| 
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| Object.defineProperty(exports, "__esModule", {
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|     value: true
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| });
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| 
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| var _eachOfSeries = require('./eachOfSeries.js');
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| 
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| var _eachOfSeries2 = _interopRequireDefault(_eachOfSeries);
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| 
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| var _once = require('./internal/once.js');
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| 
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| var _once2 = _interopRequireDefault(_once);
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| 
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| var _wrapAsync = require('./internal/wrapAsync.js');
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| 
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| var _wrapAsync2 = _interopRequireDefault(_wrapAsync);
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| 
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| var _awaitify = require('./internal/awaitify.js');
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| 
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| var _awaitify2 = _interopRequireDefault(_awaitify);
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| 
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| function _interopRequireDefault(obj) { return obj && obj.__esModule ? obj : { default: obj }; }
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| 
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| /**
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|  * Reduces `coll` into a single value using an async `iteratee` to return each
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|  * successive step. `memo` is the initial state of the reduction. This function
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|  * only operates in series.
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|  *
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|  * For performance reasons, it may make sense to split a call to this function
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|  * into a parallel map, and then use the normal `Array.prototype.reduce` on the
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|  * results. This function is for situations where each step in the reduction
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|  * needs to be async; if you can get the data before reducing it, then it's
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|  * probably a good idea to do so.
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|  *
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|  * @name reduce
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|  * @static
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|  * @memberOf module:Collections
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|  * @method
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|  * @alias inject
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|  * @alias foldl
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|  * @category Collection
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|  * @param {Array|Iterable|AsyncIterable|Object} coll - A collection to iterate over.
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|  * @param {*} memo - The initial state of the reduction.
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|  * @param {AsyncFunction} iteratee - A function applied to each item in the
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|  * array to produce the next step in the reduction.
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|  * The `iteratee` should complete with the next state of the reduction.
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|  * If the iteratee completes with an error, the reduction is stopped and the
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|  * main `callback` is immediately called with the error.
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|  * Invoked with (memo, item, callback).
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|  * @param {Function} [callback] - A callback which is called after all the
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|  * `iteratee` functions have finished. Result is the reduced value. Invoked with
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|  * (err, result).
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|  * @returns {Promise} a promise, if no callback is passed
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|  * @example
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|  *
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|  * // file1.txt is a file that is 1000 bytes in size
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|  * // file2.txt is a file that is 2000 bytes in size
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|  * // file3.txt is a file that is 3000 bytes in size
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|  * // file4.txt does not exist
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|  *
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|  * const fileList = ['file1.txt','file2.txt','file3.txt'];
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|  * const withMissingFileList = ['file1.txt','file2.txt','file3.txt', 'file4.txt'];
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|  *
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|  * // asynchronous function that computes the file size in bytes
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|  * // file size is added to the memoized value, then returned
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|  * function getFileSizeInBytes(memo, file, callback) {
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|  *     fs.stat(file, function(err, stat) {
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|  *         if (err) {
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|  *             return callback(err);
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|  *         }
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|  *         callback(null, memo + stat.size);
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|  *     });
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|  * }
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|  *
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|  * // Using callbacks
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|  * async.reduce(fileList, 0, getFileSizeInBytes, function(err, result) {
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|  *     if (err) {
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|  *         console.log(err);
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|  *     } else {
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|  *         console.log(result);
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|  *         // 6000
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|  *         // which is the sum of the file sizes of the three files
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|  *     }
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|  * });
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|  *
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|  * // Error Handling
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|  * async.reduce(withMissingFileList, 0, getFileSizeInBytes, function(err, result) {
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|  *     if (err) {
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|  *         console.log(err);
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|  *         // [ Error: ENOENT: no such file or directory ]
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|  *     } else {
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|  *         console.log(result);
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|  *     }
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|  * });
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|  *
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|  * // Using Promises
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|  * async.reduce(fileList, 0, getFileSizeInBytes)
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|  * .then( result => {
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|  *     console.log(result);
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|  *     // 6000
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|  *     // which is the sum of the file sizes of the three files
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|  * }).catch( err => {
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|  *     console.log(err);
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|  * });
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|  *
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|  * // Error Handling
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|  * async.reduce(withMissingFileList, 0, getFileSizeInBytes)
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|  * .then( result => {
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|  *     console.log(result);
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|  * }).catch( err => {
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|  *     console.log(err);
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|  *     // [ Error: ENOENT: no such file or directory ]
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|  * });
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|  *
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|  * // Using async/await
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|  * async () => {
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|  *     try {
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|  *         let result = await async.reduce(fileList, 0, getFileSizeInBytes);
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|  *         console.log(result);
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|  *         // 6000
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|  *         // which is the sum of the file sizes of the three files
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|  *     }
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|  *     catch (err) {
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|  *         console.log(err);
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|  *     }
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|  * }
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|  *
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|  * // Error Handling
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|  * async () => {
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|  *     try {
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|  *         let result = await async.reduce(withMissingFileList, 0, getFileSizeInBytes);
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|  *         console.log(result);
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|  *     }
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|  *     catch (err) {
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|  *         console.log(err);
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|  *         // [ Error: ENOENT: no such file or directory ]
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|  *     }
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|  * }
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|  *
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|  */
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| function reduce(coll, memo, iteratee, callback) {
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|     callback = (0, _once2.default)(callback);
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|     var _iteratee = (0, _wrapAsync2.default)(iteratee);
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|     return (0, _eachOfSeries2.default)(coll, (x, i, iterCb) => {
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|         _iteratee(memo, x, (err, v) => {
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|             memo = v;
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|             iterCb(err);
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|         });
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|     }, err => callback(err, memo));
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| }
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| exports.default = (0, _awaitify2.default)(reduce, 4);
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| module.exports = exports.default; |