Mon, 14 Sep 2015 20:18:39 +0200
Started implementing the raw code metrics stuff.
# -*- coding: utf-8 -*- # Copyright (c) 2015 Detlev Offenbach <detlev@die-offenbachs.de> # from __future__ import unicode_literals import multiprocessing def initService(): """ Initialize the service and return the entry point. @return the entry point for the background client (function) """ return codeMetrics def initBatchService(): """ Initialize the batch service and return the entry point. @return the entry point for the background client (function) """ return batchCodeMetrics def codeMetrics(file, text="", type_=""): """ Private function to calculate selected code metrics of one file. @param file source filename @type str @param text source text @param str @return tuple containing the filename and the result list @rtype (str, list) """ if type_ == "raw": return __rawCodeMetrics(file, text) # TODO: Return error indication def batchCodeMetrics(argumentsList, send, fx, cancelled): """ Module function to calculate selected code metrics for a batch of files. @param argumentsList list of arguments tuples as given for check @type list @param send reference to send function @type function @param fx registered service name @type str @param cancelled reference to function checking for a cancellation @type function """ try: NumberOfProcesses = multiprocessing.cpu_count() if NumberOfProcesses >= 1: NumberOfProcesses -= 1 except NotImplementedError: NumberOfProcesses = 1 # Create queues taskQueue = multiprocessing.Queue() doneQueue = multiprocessing.Queue() # Submit tasks (initially two time number of processes initialTasks = 2 * NumberOfProcesses for task in argumentsList[:initialTasks]: taskQueue.put(task) # Start worker processes for i in range(NumberOfProcesses): multiprocessing.Process(target=worker, args=(taskQueue, doneQueue))\ .start() # Get and send results endIndex = len(argumentsList) - initialTasks for i in range(len(argumentsList)): filename, result = doneQueue.get() send(fx, filename, result) if cancelled(): # just exit the loop ignoring the results of queued tasks break if i < endIndex: taskQueue.put(argumentsList[i + initialTasks]) # Tell child processes to stop for i in range(NumberOfProcesses): taskQueue.put('STOP') def worker(input, output): """ Module function acting as the parallel worker for the style check. @param input input queue @type multiprocessing.Queue @param output output queue @type multiprocessing.Queue """ for filename, source, type_ in iter(input.get, 'STOP'): if type_ == "raw": result = __rawCodeMetrics(filename, source) else: result = [] output.put((filename, result)) def __rawCodeMetrics(file, text=""): """ Private function to calculate the raw code metrics for one Python file. @param file source filename @type str @param text source text @type str @return tuple containing the result list @rtype (list) """ from radon.raw import analyze res = analyze(text) return (res, )