+ logs = list()
+
+ logging.info(" Processing the job/build: {0}: {1}".
+ format(job, build["build"]))
+
+ logs.append(("INFO", " Processing the job/build: {0}: {1}".
+ format(job, build["build"])))
+
+ state = "failed"
+ success = False
+ data = None
+ do_repeat = repeat
+ while do_repeat:
+ success = download_and_unzip_data_file(self._cfg, job, build, pid,
+ logs)
+ if success:
+ break
+ do_repeat -= 1
+ if not success:
+ logs.append(("ERROR", "It is not possible to download the input "
+ "data file from the job '{job}', build "
+ "'{build}', or it is damaged. Skipped.".
+ format(job=job, build=build["build"])))
+ if success:
+ logs.append(("INFO", " Processing data from the build '{0}' ...".
+ format(build["build"])))
+ data = InputData._parse_tests(job, build, logs)
+ if data is None:
+ logs.append(("ERROR", "Input data file from the job '{job}', "
+ "build '{build}' is damaged. Skipped.".
+ format(job=job, build=build["build"])))
+ else:
+ state = "processed"
+
+ try:
+ remove(build["file-name"])
+ except OSError as err:
+ logs.append(("ERROR", "Cannot remove the file '{0}': {1}".
+ format(build["file-name"], err)))
+ logs.append(("INFO", " Done."))
+
+ result = {
+ "data": data,
+ "state": state,
+ "job": job,
+ "build": build,
+ "logs": logs
+ }
+ data_queue.put(result)
+
+ def download_and_parse_data(self, repeat=1):
+ """Download the input data files, parse input data from input files and
+ store in pandas' Series.
+
+ :param repeat: Repeat the download specified number of times if not
+ successful.
+ :type repeat: int
+ """
+
+ logging.info("Downloading and parsing input files ...")
+
+ work_queue = multiprocessing.JoinableQueue()
+ manager = multiprocessing.Manager()
+ data_queue = manager.Queue()
+ cpus = multiprocessing.cpu_count()
+
+ workers = list()
+ for cpu in range(cpus):
+ worker = Worker(work_queue,
+ data_queue,
+ self._download_and_parse_build)
+ worker.daemon = True
+ worker.start()
+ workers.append(worker)
+ os.system("taskset -p -c {0} {1} > /dev/null 2>&1".
+ format(cpu, worker.pid))