- provide access to the data.
"""
+import multiprocessing
+import os
import re
import pandas as pd
import logging
-import xml.etree.ElementTree as ET
from robot.api import ExecutionResult, ResultVisitor
from robot import errors
from os import remove
from input_data_files import download_and_unzip_data_file
+from utils import Worker
class ExecutionChecker(ResultVisitor):
REGEX_TOLERANCE = re.compile(r'^[\D\d]*LOSS_ACCEPTANCE:\s(\d*\.\d*)\s'
r'[\D\d]*')
- REGEX_VERSION = re.compile(r"(return STDOUT Version:\s*)(.*)")
+ REGEX_VERSION_VPP = re.compile(r"(return STDOUT Version:\s*)(.*)")
+
+ REGEX_VERSION_DPDK = re.compile(r"(return STDOUT testpmd)([\d\D\n]*)"
+ r"(RTE Version: 'DPDK )(.*)(')")
REGEX_TCP = re.compile(r'Total\s(rps|cps|throughput):\s([0-9]*).*$')
# VPP version
self._version = None
+ # Timestamp
+ self._timestamp = None
+
# Number of VAT History messages found:
# 0 - no message
# 1 - VAT History of DUT1
# Dictionary defining the methods used to parse different types of
# messages
self.parse_msg = {
- "setup-version": self._get_version,
+ "timestamp": self._get_timestamp,
+ "vpp-version": self._get_vpp_version,
+ "dpdk-version": self._get_dpdk_version,
"teardown-vat-history": self._get_vat_history,
"test-show-runtime": self._get_show_run
}
"""
return self._data
- def _get_version(self, msg):
+ def _get_vpp_version(self, msg):
"""Called when extraction of VPP version is required.
:param msg: Message to process.
"""
if msg.message.count("return STDOUT Version:"):
- self._version = str(re.search(self.REGEX_VERSION, msg.message).
+ self._version = str(re.search(self.REGEX_VERSION_VPP, msg.message).
group(2))
self._data["metadata"]["version"] = self._version
self._msg_type = None
+ def _get_dpdk_version(self, msg):
+ """Called when extraction of DPDK version is required.
+
+ :param msg: Message to process.
+ :type msg: Message
+ :returns: Nothing.
+ """
+
+ if msg.message.count("return STDOUT testpmd"):
+ try:
+ self._version = str(re.search(
+ self.REGEX_VERSION_DPDK, msg.message). group(4))
+ self._data["metadata"]["version"] = self._version
+ except IndexError:
+ pass
+ finally:
+ self._msg_type = None
+
+ def _get_timestamp(self, msg):
+ """Called when extraction of timestamp is required.
+
+ :param msg: Message to process.
+ :type msg: Message
+ :returns: Nothing.
+ """
+
+ self._timestamp = msg.timestamp[:14]
+ self._data["metadata"]["generated"] = self._timestamp
+ self._msg_type = None
+
def _get_vat_history(self, msg):
"""Called when extraction of VAT command history is required.
self._lookup_kw_nr += 1
self._show_run_lookup_nr = 0
self._msg_type = "test-show-runtime"
- test_kw.messages.visit(self)
+ elif test_kw.name.count("Start The L2fwd Test") and not self._version:
+ self._msg_type = "dpdk-version"
+ else:
+ return
+ test_kw.messages.visit(self)
def end_test_kw(self, test_kw):
"""Called when keyword ends. Default implementation does nothing.
"""
if setup_kw.name.count("Show Vpp Version On All Duts") \
and not self._version:
- self._msg_type = "setup-version"
- setup_kw.messages.visit(self)
+ self._msg_type = "vpp-version"
+
+ elif setup_kw.name.count("Setup performance global Variables") \
+ and not self._timestamp:
+ self._msg_type = "timestamp"
+ else:
+ return
+ setup_kw.messages.visit(self)
def end_setup_kw(self, setup_kw):
"""Called when keyword ends. Default implementation does nothing.
self._cfg = spec
# Data store:
- self._input_data = None
+ self._input_data = pd.Series()
@property
def data(self):
return self.data[job][build]["tests"]
@staticmethod
- def _parse_tests(job, build, get_timestamp=False):
+ def _parse_tests(job, build, log):
"""Process data from robot output.xml file and return JSON structured
data.
:param job: The name of job which build output data will be processed.
:param build: The build which output data will be processed.
- :param get_timestamp: If True, timestamp is read form the xml source
- file.
+ :param log: List of log messages.
:type job: str
:type build: dict
- :type get_timestamp: bool
+ :type log: list of tuples (severity, msg)
:returns: JSON data structure.
:rtype: dict
"""
"job": job,
"build": build
}
- if get_timestamp:
- tree = ET.parse(build["file-name"])
- root = tree.getroot()
- metadata["generated"] = root.attrib["generated"]
with open(build["file-name"], 'r') as data_file:
try:
result = ExecutionResult(data_file)
except errors.DataError as err:
- logging.error("Error occurred while parsing output.xml: {0}".
- format(err))
+ log.append(("ERROR", "Error occurred while parsing output.xml: "
+ "{0}".format(err)))
return None
checker = ExecutionChecker(metadata)
result.visit(checker)
return checker.data
- def download_and_parse_data(self, get_timestamp=False):
+ def _download_and_parse_build(self, pid, data_queue, job, build, repeat):
+ """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
+ processed input file.
+ :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"])))
+
+ 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 get_timestamp: If True, timestamp is read form the xml source
- file.
- :type get_timestamp: bool
+ :param repeat: Repeat the download specified number of times if not
+ successful.
+ :type repeat: int
"""
logging.info("Downloading and parsing input files ...")
- job_data = dict()
+ 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():
- logging.info(" Processing data from the job '{0}' ...'".
- format(job))
- builds_data = dict()
for build in builds:
- logging.info(" Processing the build '{0}'".
- format(build["build"]))
- self._cfg.set_input_state(job, build["build"], "failed")
- if not download_and_unzip_data_file(self._cfg, job, build):
- logging.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"]))
- continue
+ work_queue.put((job, build, repeat))
- logging.info(" Processing data from the build '{0}' ...".
- format(build["build"]))
- data = InputData._parse_tests(job, build,
- get_timestamp=get_timestamp)
- if data is None:
- logging.error("Input data file from the job '{job}', build "
- "'{build}' is damaged. Skipped.".
- format(job=job, build=build["build"]))
- continue
+ work_queue.join()
- self._cfg.set_input_state(job, build["build"], "processed")
+ logging.info("Done.")
- try:
- remove(build["file-name"])
- except OSError as err:
- logging.error("Cannot remove the file '{0}': {1}".
- format(build["file-name"], err))
+ 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()),
index=data["suites"].keys()),
"tests": pd.Series(data["tests"].values(),
index=data["tests"].keys())})
- builds_data[str(build["build"])] = build_data
- build["status"] = "processed"
- logging.info(" Done.")
- job_data[job] = pd.Series(builds_data.values(),
- index=builds_data.keys())
- logging.info(" Done.")
+ 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()
- self._input_data = pd.Series(job_data.values(), index=job_data.keys())
logging.info("Done.")
@staticmethod
:rtype pandas.Series
"""
- logging.info(" Creating the data set for the {0} '{1}'.".
- format(element.get("type", ""), element.get("title", "")))
-
try:
if element["filter"] in ("all", "template"):
cond = "True"