- filter the data using tags,
"""
-import multiprocessing
-import os
import re
+import resource
import pandas as pd
import logging
from jumpavg.AvgStdevMetadataFactory import AvgStdevMetadataFactory
from input_data_files import download_and_unzip_data_file
-from utils import Worker
# Separator used in file names
return checker.data
- def _download_and_parse_build(self, pid, data_queue, job, build, repeat):
+ def _download_and_parse_build(self, job, build, repeat, pid=10000):
"""Download and parse the input data file.
:param pid: PID of the process executing this method.
- :param data_queue: Shared memory between processes. Queue which keeps
- the result data. This data is then read by the main process and used
- in further processing.
:param job: Name of the Jenkins job which generated the processed input
file.
:param build: Information about the Jenkins build which generated the
:param repeat: Repeat the download specified number of times if not
successful.
:type pid: int
- :type data_queue: multiprocessing.Manager().Queue()
:type job: str
:type build: dict
:type repeat: int
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"])))
"'{build}', or it is damaged. Skipped.".
format(job=job, build=build["build"])))
if success:
- logs.append(("INFO", " Processing data from the build '{0}' ...".
+ logs.append(("INFO", " Processing data from the build '{0}' ...".
format(build["build"])))
data = self._parse_tests(job, build, logs)
if data is None:
file_name = self._cfg.input["file-name"]
full_name = join(
self._cfg.environment["paths"]["DIR[WORKING,DATA]"],
- "{job}{sep}{build}{sep}{name}".
- format(job=job,
- sep=SEPARATOR,
- build=build["build"],
- name=file_name))
+ "{job}{sep}{build}{sep}{name}".format(
+ job=job,
+ sep=SEPARATOR,
+ build=build["build"],
+ name=file_name))
try:
remove(full_name)
logs.append(("INFO",
format(name=full_name)))
except OSError as err:
logs.append(("ERROR",
- "Cannot remove the file '{0}': {1}".
- format(full_name, repr(err))))
-
+ "Cannot remove the file '{0}': {1}".
+ format(full_name, repr(err))))
logs.append(("INFO", " Done."))
- result = {
- "data": data,
- "state": state,
- "job": job,
- "build": build,
- "logs": logs
- }
- data_queue.put(result)
+ for level, line in logs:
+ if level == "INFO":
+ logging.info(line)
+ elif level == "ERROR":
+ logging.error(line)
+ elif level == "DEBUG":
+ logging.debug(line)
+ elif level == "CRITICAL":
+ logging.critical(line)
+ elif level == "WARNING":
+ logging.warning(line)
+
+ return {"data": data, "state": state, "job": job, "build": build}
def download_and_parse_data(self, repeat=1):
"""Download the input data files, parse input data from input files and
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))
-
for job, builds in self._cfg.builds.items():
for build in builds:
- work_queue.put((job, build, repeat))
- work_queue.join()
+ result = self._download_and_parse_build(job, build, repeat)
+ build_nr = result["build"]["build"]
- logging.info("Done.")
+ if result["data"]:
+ data = result["data"]
+ build_data = pd.Series({
+ "metadata": pd.Series(
+ data["metadata"].values(),
+ index=data["metadata"].keys()),
+ "suites": pd.Series(data["suites"].values(),
+ index=data["suites"].keys()),
+ "tests": pd.Series(data["tests"].values(),
+ index=data["tests"].keys())})
+
+ if self._input_data.get(job, None) is None:
+ self._input_data[job] = pd.Series()
+ self._input_data[job][str(build_nr)] = build_data
+
+ self._cfg.set_input_file_name(
+ job, build_nr, result["build"]["file-name"])
+
+ self._cfg.set_input_state(job, build_nr, result["state"])
- while not data_queue.empty():
- result = data_queue.get()
-
- job = result["job"]
- build_nr = result["build"]["build"]
-
- if result["data"]:
- data = result["data"]
- build_data = pd.Series({
- "metadata": pd.Series(data["metadata"].values(),
- index=data["metadata"].keys()),
- "suites": pd.Series(data["suites"].values(),
- index=data["suites"].keys()),
- "tests": pd.Series(data["tests"].values(),
- index=data["tests"].keys())})
-
- if self._input_data.get(job, None) is None:
- self._input_data[job] = pd.Series()
- self._input_data[job][str(build_nr)] = build_data
-
- self._cfg.set_input_file_name(job, build_nr,
- result["build"]["file-name"])
-
- self._cfg.set_input_state(job, build_nr, result["state"])
-
- for item in result["logs"]:
- if item[0] == "INFO":
- logging.info(item[1])
- elif item[0] == "ERROR":
- logging.error(item[1])
- elif item[0] == "DEBUG":
- logging.debug(item[1])
- elif item[0] == "CRITICAL":
- logging.critical(item[1])
- elif item[0] == "WARNING":
- logging.warning(item[1])
-
- del data_queue
-
- # Terminate all workers
- for worker in workers:
- worker.terminate()
- worker.join()
+ logging.info("Memory allocation: {0:,d}MB".format(
+ resource.getrusage(resource.RUSAGE_SELF).ru_maxrss / 1000))
logging.info("Done.")
Code Review / csit.git / commitdiff