+++ /dev/null
-# Copyright (c) 2023 Cisco and/or its affiliates.
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at:
-#
-# http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-
-"""Data pre-processing
-
-- extract data from output.xml files generated by Jenkins jobs and store in
- pandas' Series,
-- provide access to the data.
-- filter the data using tags,
-"""
-
-import re
-import copy
-import resource
-import logging
-
-from collections import OrderedDict
-from os import remove, walk, listdir
-from os.path import isfile, isdir, join
-from datetime import datetime as dt
-from datetime import timedelta
-from json import loads
-from json.decoder import JSONDecodeError
-
-import hdrh.histogram
-import hdrh.codec
-import prettytable
-import pandas as pd
-
-from robot.api import ExecutionResult, ResultVisitor
-from robot import errors
-
-from resources.libraries.python import jumpavg
-from input_data_files import download_and_unzip_data_file
-from pal_errors import PresentationError
-
-
-# Separator used in file names
-SEPARATOR = "__"
-
-
-class ExecutionChecker(ResultVisitor):
- """Class to traverse through the test suite structure.
- """
-
- REGEX_PLR_RATE = re.compile(
- r'PLRsearch lower bound::?\s(\d+.\d+).*\n'
- r'PLRsearch upper bound::?\s(\d+.\d+)'
- )
- REGEX_NDRPDR_RATE = re.compile(
- r'NDR_LOWER:\s(\d+.\d+).*\n.*\n'
- r'NDR_UPPER:\s(\d+.\d+).*\n'
- r'PDR_LOWER:\s(\d+.\d+).*\n.*\n'
- r'PDR_UPPER:\s(\d+.\d+)'
- )
- REGEX_NDRPDR_GBPS = re.compile(
- r'NDR_LOWER:.*,\s(\d+.\d+).*\n.*\n'
- r'NDR_UPPER:.*,\s(\d+.\d+).*\n'
- r'PDR_LOWER:.*,\s(\d+.\d+).*\n.*\n'
- r'PDR_UPPER:.*,\s(\d+.\d+)'
- )
- REGEX_PERF_MSG_INFO = re.compile(
- r'NDR_LOWER:\s(\d+.\d+)\s.*\s(\d+.\d+)\s.*\n.*\n.*\n'
- r'PDR_LOWER:\s(\d+.\d+)\s.*\s(\d+.\d+)\s.*\n.*\n.*\n'
- r'Latency at 90% PDR:.*\[\'(.*)\', \'(.*)\'\].*\n'
- r'Latency at 50% PDR:.*\[\'(.*)\', \'(.*)\'\].*\n'
- r'Latency at 10% PDR:.*\[\'(.*)\', \'(.*)\'\].*\n'
- )
- REGEX_CPS_MSG_INFO = re.compile(
- r'NDR_LOWER:\s(\d+.\d+)\s.*\s.*\n.*\n.*\n'
- r'PDR_LOWER:\s(\d+.\d+)\s.*\s.*\n.*\n.*'
- )
- REGEX_PPS_MSG_INFO = re.compile(
- r'NDR_LOWER:\s(\d+.\d+)\s.*\s(\d+.\d+)\s.*\n.*\n.*\n'
- r'PDR_LOWER:\s(\d+.\d+)\s.*\s(\d+.\d+)\s.*\n.*\n.*'
- )
- REGEX_MRR_MSG_INFO = re.compile(r'.*\[(.*)\]')
-
- REGEX_VSAP_MSG_INFO = re.compile(
- r'Transfer Rate: (\d*.\d*).*\n'
- r'Latency: (\d*.\d*).*\n'
- r'Connection [c|r]ps rate: (\d*).*\n'
- r'Total data transferred: (\d*).*\n'
- r'Completed requests: (\d*).*\n'
- r'Failed requests:\s*(\d*.\d*)'
- )
-
- # Needed for CPS and PPS tests
- REGEX_NDRPDR_LAT_BASE = re.compile(
- r'LATENCY.*\[\'(.*)\', \'(.*)\'\]\s\n.*\n.*\n'
- r'LATENCY.*\[\'(.*)\', \'(.*)\'\]'
- )
- REGEX_NDRPDR_LAT = re.compile(
- r'LATENCY.*\[\'(.*)\', \'(.*)\'\]\s\n.*\n.*\n'
- r'LATENCY.*\[\'(.*)\', \'(.*)\'\]\s\n.*\n'
- r'Latency.*\[\'(.*)\', \'(.*)\'\]\s\n'
- r'Latency.*\[\'(.*)\', \'(.*)\'\]\s\n'
- r'Latency.*\[\'(.*)\', \'(.*)\'\]\s\n'
- r'Latency.*\[\'(.*)\', \'(.*)\'\]'
- )
-
- REGEX_VERSION_VPP = re.compile(
- r"(VPP Version:\s*|VPP version:\s*)(.*)"
- )
- REGEX_VERSION_DPDK = re.compile(
- r"(DPDK version:\s*|DPDK Version:\s*)(.*)"
- )
- REGEX_TCP = re.compile(
- r'Total\s(rps|cps|throughput):\s(\d*).*$'
- )
- REGEX_MRR = re.compile(
- r'MaxReceivedRate_Results\s\[pkts/(\d*)sec\]:\s'
- r'tx\s(\d*),\srx\s(\d*)'
- )
- REGEX_BMRR = re.compile(
- r'.*trial results.*: \[(.*)\]'
- )
- REGEX_RECONF_LOSS = re.compile(
- r'Packets lost due to reconfig: (\d*)'
- )
- REGEX_RECONF_TIME = re.compile(
- r'Implied time lost: (\d*.[\de-]*)'
- )
- REGEX_TC_TAG = re.compile(r'\d+[tT]\d+[cC]')
-
- REGEX_TC_NAME_NEW = re.compile(r'-\d+[cC]-')
-
- REGEX_TC_NUMBER = re.compile(r'tc\d{2}-')
-
- REGEX_TC_PAPI_CLI = re.compile(r'.*\((\d+.\d+.\d+.\d+.) - (.*)\)')
-
- REGEX_SH_RUN_HOST = re.compile(
- r'hostname=\"(\d{1,3}.\d{1,3}.\d{1,3}.\d{1,3})\",hook=\"(.*)\"'
- )
-
- def __init__(self, metadata, mapping, ignore, process_oper):
- """Initialisation.
-
- :param metadata: Key-value pairs to be included in "metadata" part of
- JSON structure.
- :param mapping: Mapping of the old names of test cases to the new
- (actual) one.
- :param ignore: List of TCs to be ignored.
- :param process_oper: If True, operational data (show run, telemetry) is
- processed.
- :type metadata: dict
- :type mapping: dict
- :type ignore: list
- :type process_oper: bool
- """
-
- # Mapping of TCs long names
- self._mapping = mapping
-
- # Ignore list
- self._ignore = ignore
-
- # Process operational data
- self._process_oper = process_oper
-
- # Name of currently processed keyword
- self._kw_name = None
-
- # VPP version
- self._version = None
-
- # Timestamp
- self._timestamp = None
-
- # Testbed. The testbed is identified by TG node IP address.
- self._testbed = None
-
- # Number of PAPI History messages found:
- # 0 - no message
- # 1 - PAPI History of DUT1
- # 2 - PAPI History of DUT2
- self._conf_history_lookup_nr = 0
-
- self._sh_run_counter = 0
- self._telemetry_kw_counter = 0
- self._telemetry_msg_counter = 0
-
- # Test ID of currently processed test- the lowercase full path to the
- # test
- self._test_id = None
-
- # The main data structure
- self._data = {
- "metadata": dict(),
- "suites": dict(),
- "tests": dict()
- }
-
- # Save the provided metadata
- for key, val in metadata.items():
- self._data["metadata"][key] = val
-
- @property
- def data(self):
- """Getter - Data parsed from the XML file.
-
- :returns: Data parsed from the XML file.
- :rtype: dict
- """
- return self._data
-
- def _get_data_from_mrr_test_msg(self, msg):
- """Get info from message of MRR performance tests.
-
- :param msg: Message to be processed.
- :type msg: str
- :returns: Processed message or original message if a problem occurs.
- :rtype: str
- """
-
- groups = re.search(self.REGEX_MRR_MSG_INFO, msg)
- if not groups or groups.lastindex != 1:
- return "Test Failed."
-
- try:
- data = groups.group(1).split(", ")
- except (AttributeError, IndexError, ValueError, KeyError):
- return "Test Failed."
-
- out_str = "["
- try:
- for item in data:
- out_str += f"{(float(item) / 1e6):.2f}, "
- return out_str[:-2] + "]"
- except (AttributeError, IndexError, ValueError, KeyError):
- return "Test Failed."
-
- def _get_data_from_cps_test_msg(self, msg):
- """Get info from message of NDRPDR CPS tests.
-
- :param msg: Message to be processed.
- :type msg: str
- :returns: Processed message or "Test Failed." if a problem occurs.
- :rtype: str
- """
-
- groups = re.search(self.REGEX_CPS_MSG_INFO, msg)
- if not groups or groups.lastindex != 2:
- return "Test Failed."
-
- try:
- return (
- f"1. {(float(groups.group(1)) / 1e6):5.2f}\n"
- f"2. {(float(groups.group(2)) / 1e6):5.2f}"
- )
- except (AttributeError, IndexError, ValueError, KeyError):
- return "Test Failed."
-
- def _get_data_from_pps_test_msg(self, msg):
- """Get info from message of NDRPDR PPS tests.
-
- :param msg: Message to be processed.
- :type msg: str
- :returns: Processed message or "Test Failed." if a problem occurs.
- :rtype: str
- """
-
- groups = re.search(self.REGEX_PPS_MSG_INFO, msg)
- if not groups or groups.lastindex != 4:
- return "Test Failed."
-
- try:
- return (
- f"1. {(float(groups.group(1)) / 1e6):5.2f} "
- f"{float(groups.group(2)):5.2f}\n"
- f"2. {(float(groups.group(3)) / 1e6):5.2f} "
- f"{float(groups.group(4)):5.2f}"
- )
- except (AttributeError, IndexError, ValueError, KeyError):
- return "Test Failed."
-
- def _get_data_from_perf_test_msg(self, msg):
- """Get info from message of NDRPDR performance tests.
-
- :param msg: Message to be processed.
- :type msg: str
- :returns: Processed message or "Test Failed." if a problem occurs.
- :rtype: str
- """
-
- groups = re.search(self.REGEX_PERF_MSG_INFO, msg)
- if not groups or groups.lastindex != 10:
- return "Test Failed."
-
- try:
- data = {
- "ndr_low": float(groups.group(1)),
- "ndr_low_b": float(groups.group(2)),
- "pdr_low": float(groups.group(3)),
- "pdr_low_b": float(groups.group(4)),
- "pdr_lat_90_1": groups.group(5),
- "pdr_lat_90_2": groups.group(6),
- "pdr_lat_50_1": groups.group(7),
- "pdr_lat_50_2": groups.group(8),
- "pdr_lat_10_1": groups.group(9),
- "pdr_lat_10_2": groups.group(10),
- }
- except (AttributeError, IndexError, ValueError, KeyError):
- return "Test Failed."
-
- def _process_lat(in_str_1, in_str_2):
- """Extract P50, P90 and P99 latencies or min, avg, max values from
- latency string.
-
- :param in_str_1: Latency string for one direction produced by robot
- framework.
- :param in_str_2: Latency string for second direction produced by
- robot framework.
- :type in_str_1: str
- :type in_str_2: str
- :returns: Processed latency string or None if a problem occurs.
- :rtype: tuple
- """
- in_list_1 = in_str_1.split('/', 3)
- in_list_2 = in_str_2.split('/', 3)
-
- if len(in_list_1) != 4 and len(in_list_2) != 4:
- return None
-
- in_list_1[3] += "=" * (len(in_list_1[3]) % 4)
- try:
- hdr_lat_1 = hdrh.histogram.HdrHistogram.decode(in_list_1[3])
- except hdrh.codec.HdrLengthException:
- hdr_lat_1 = None
-
- in_list_2[3] += "=" * (len(in_list_2[3]) % 4)
- try:
- hdr_lat_2 = hdrh.histogram.HdrHistogram.decode(in_list_2[3])
- except hdrh.codec.HdrLengthException:
- hdr_lat_2 = None
-
- if hdr_lat_1 and hdr_lat_2:
- hdr_lat = (
- hdr_lat_1.get_value_at_percentile(50.0),
- hdr_lat_1.get_value_at_percentile(90.0),
- hdr_lat_1.get_value_at_percentile(99.0),
- hdr_lat_2.get_value_at_percentile(50.0),
- hdr_lat_2.get_value_at_percentile(90.0),
- hdr_lat_2.get_value_at_percentile(99.0)
- )
- if all(hdr_lat):
- return hdr_lat
-
- hdr_lat = (
- int(in_list_1[0]), int(in_list_1[1]), int(in_list_1[2]),
- int(in_list_2[0]), int(in_list_2[1]), int(in_list_2[2])
- )
- for item in hdr_lat:
- if item in (-1, 4294967295, 0):
- return None
- return hdr_lat
-
- try:
- out_msg = (
- f"1. {(data['ndr_low'] / 1e6):5.2f} "
- f"{data['ndr_low_b']:5.2f}"
- f"\n2. {(data['pdr_low'] / 1e6):5.2f} "
- f"{data['pdr_low_b']:5.2f}"
- )
- latency = (
- _process_lat(data['pdr_lat_10_1'], data['pdr_lat_10_2']),
- _process_lat(data['pdr_lat_50_1'], data['pdr_lat_50_2']),
- _process_lat(data['pdr_lat_90_1'], data['pdr_lat_90_2'])
- )
- if all(latency):
- max_len = len(str(max((max(item) for item in latency))))
- max_len = 4 if max_len < 4 else max_len
-
- for idx, lat in enumerate(latency):
- if not idx:
- out_msg += "\n"
- out_msg += (
- f"\n{idx + 3}. "
- f"{lat[0]:{max_len}d} "
- f"{lat[1]:{max_len}d} "
- f"{lat[2]:{max_len}d} "
- f"{lat[3]:{max_len}d} "
- f"{lat[4]:{max_len}d} "
- f"{lat[5]:{max_len}d} "
- )
-
- return out_msg
-
- except (AttributeError, IndexError, ValueError, KeyError):
- return "Test Failed."
-
- def _get_testbed(self, msg):
- """Called when extraction of testbed IP is required.
- The testbed is identified by TG node IP address.
-
- :param msg: Message to process.
- :type msg: Message
- :returns: Nothing.
- """
-
- if msg.message.count("Setup of TG node") or \
- msg.message.count("Setup of node TG host"):
- reg_tg_ip = re.compile(
- r'.*TG .* (\d{1,3}.\d{1,3}.\d{1,3}.\d{1,3}).*')
- try:
- self._testbed = str(re.search(reg_tg_ip, msg.message).group(1))
- except (KeyError, ValueError, IndexError, AttributeError):
- pass
- finally:
- self._data["metadata"]["testbed"] = self._testbed
-
- def _get_vpp_version(self, msg):
- """Called when extraction of VPP version is required.
-
- :param msg: Message to process.
- :type msg: Message
- :returns: Nothing.
- """
-
- if msg.message.count("VPP version:") or \
- msg.message.count("VPP Version:"):
- self._version = str(
- re.search(self.REGEX_VERSION_VPP, msg.message).group(2)
- )
- self._data["metadata"]["version"] = self._version
-
- 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("DPDK Version:"):
- try:
- self._version = str(re.search(
- self.REGEX_VERSION_DPDK, msg.message).group(2))
- self._data["metadata"]["version"] = self._version
- except IndexError:
- pass
-
- def _get_papi_history(self, msg):
- """Called when extraction of PAPI command history is required.
-
- :param msg: Message to process.
- :type msg: Message
- :returns: Nothing.
- """
- if msg.message.count("PAPI command history:"):
- self._conf_history_lookup_nr += 1
- if self._conf_history_lookup_nr == 1:
- self._data["tests"][self._test_id]["conf-history"] = str()
- text = re.sub(
- r"\d{1,3}.\d{1,3}.\d{1,3}.\d{1,3} PAPI command history:",
- "",
- msg.message,
- count=1
- ).replace('"', "'")
- self._data["tests"][self._test_id]["conf-history"] += \
- f"**DUT{str(self._conf_history_lookup_nr)}:** {text}"
-
- def _get_show_run(self, msg):
- """Called when extraction of VPP operational data (output of CLI command
- Show Runtime) is required.
-
- :param msg: Message to process.
- :type msg: Message
- :returns: Nothing.
- """
-
- if not msg.message.count("stats runtime"):
- return
-
- # Temporary solution
- if self._sh_run_counter > 1:
- return
-
- if "show-run" not in self._data["tests"][self._test_id].keys():
- self._data["tests"][self._test_id]["show-run"] = dict()
-
- groups = re.search(self.REGEX_TC_PAPI_CLI, msg.message)
- if not groups:
- return
- try:
- host = groups.group(1)
- except (AttributeError, IndexError):
- host = ""
- try:
- sock = groups.group(2)
- except (AttributeError, IndexError):
- sock = ""
-
- dut = "dut{nr}".format(
- nr=len(self._data['tests'][self._test_id]['show-run'].keys()) + 1)
-
- self._data['tests'][self._test_id]['show-run'][dut] = \
- copy.copy(
- {
- "host": host,
- "socket": sock,
- "runtime": str(msg.message).replace(' ', '').
- replace('\n', '').replace("'", '"').
- replace('b"', '"').replace('"', '"').
- split(":", 1)[1]
- }
- )
-
- def _get_telemetry(self, msg):
- """Called when extraction of VPP telemetry data is required.
-
- :param msg: Message to process.
- :type msg: Message
- :returns: Nothing.
- """
-
- if self._telemetry_kw_counter > 1:
- return
- if not msg.message.count("# TYPE vpp_runtime_calls"):
- return
-
- if "telemetry-show-run" not in \
- self._data["tests"][self._test_id].keys():
- self._data["tests"][self._test_id]["telemetry-show-run"] = dict()
-
- self._telemetry_msg_counter += 1
- groups = re.search(self.REGEX_SH_RUN_HOST, msg.message)
- if not groups:
- return
- try:
- host = groups.group(1)
- except (AttributeError, IndexError):
- host = ""
- try:
- sock = groups.group(2)
- except (AttributeError, IndexError):
- sock = ""
- runtime = {
- "source_type": "node",
- "source_id": host,
- "msg_type": "metric",
- "log_level": "INFO",
- "timestamp": msg.timestamp,
- "msg": "show_runtime",
- "host": host,
- "socket": sock,
- "data": list()
- }
- for line in msg.message.splitlines():
- if not line.startswith("vpp_runtime_"):
- continue
- try:
- params, value, timestamp = line.rsplit(" ", maxsplit=2)
- cut = params.index("{")
- name = params[:cut].split("_", maxsplit=2)[-1]
- labels = eval(
- "dict" + params[cut:].replace('{', '(').replace('}', ')')
- )
- labels["graph_node"] = labels.pop("name")
- runtime["data"].append(
- {
- "name": name,
- "value": value,
- "timestamp": timestamp,
- "labels": labels
- }
- )
- except (TypeError, ValueError, IndexError):
- continue
- self._data['tests'][self._test_id]['telemetry-show-run']\
- [f"dut{self._telemetry_msg_counter}"] = copy.copy(
- {
- "host": host,
- "socket": sock,
- "runtime": runtime
- }
- )
-
- def _get_ndrpdr_throughput(self, msg):
- """Get NDR_LOWER, NDR_UPPER, PDR_LOWER and PDR_UPPER from the test
- message.
-
- :param msg: The test message to be parsed.
- :type msg: str
- :returns: Parsed data as a dict and the status (PASS/FAIL).
- :rtype: tuple(dict, str)
- """
-
- throughput = {
- "NDR": {"LOWER": -1.0, "UPPER": -1.0},
- "PDR": {"LOWER": -1.0, "UPPER": -1.0}
- }
- status = "FAIL"
- groups = re.search(self.REGEX_NDRPDR_RATE, msg)
-
- if groups is not None:
- try:
- throughput["NDR"]["LOWER"] = float(groups.group(1))
- throughput["NDR"]["UPPER"] = float(groups.group(2))
- throughput["PDR"]["LOWER"] = float(groups.group(3))
- throughput["PDR"]["UPPER"] = float(groups.group(4))
- status = "PASS"
- except (IndexError, ValueError):
- pass
-
- return throughput, status
-
- def _get_ndrpdr_throughput_gbps(self, msg):
- """Get NDR_LOWER, NDR_UPPER, PDR_LOWER and PDR_UPPER in Gbps from the
- test message.
-
- :param msg: The test message to be parsed.
- :type msg: str
- :returns: Parsed data as a dict and the status (PASS/FAIL).
- :rtype: tuple(dict, str)
- """
-
- gbps = {
- "NDR": {"LOWER": -1.0, "UPPER": -1.0},
- "PDR": {"LOWER": -1.0, "UPPER": -1.0}
- }
- status = "FAIL"
- groups = re.search(self.REGEX_NDRPDR_GBPS, msg)
-
- if groups is not None:
- try:
- gbps["NDR"]["LOWER"] = float(groups.group(1))
- gbps["NDR"]["UPPER"] = float(groups.group(2))
- gbps["PDR"]["LOWER"] = float(groups.group(3))
- gbps["PDR"]["UPPER"] = float(groups.group(4))
- status = "PASS"
- except (IndexError, ValueError):
- pass
-
- return gbps, status
-
- def _get_plr_throughput(self, msg):
- """Get PLRsearch lower bound and PLRsearch upper bound from the test
- message.
-
- :param msg: The test message to be parsed.
- :type msg: str
- :returns: Parsed data as a dict and the status (PASS/FAIL).
- :rtype: tuple(dict, str)
- """
-
- throughput = {
- "LOWER": -1.0,
- "UPPER": -1.0
- }
- status = "FAIL"
- groups = re.search(self.REGEX_PLR_RATE, msg)
-
- if groups is not None:
- try:
- throughput["LOWER"] = float(groups.group(1))
- throughput["UPPER"] = float(groups.group(2))
- status = "PASS"
- except (IndexError, ValueError):
- pass
-
- return throughput, status
-
- def _get_ndrpdr_latency(self, msg):
- """Get LATENCY from the test message.
-
- :param msg: The test message to be parsed.
- :type msg: str
- :returns: Parsed data as a dict and the status (PASS/FAIL).
- :rtype: tuple(dict, str)
- """
- latency_default = {
- "min": -1.0,
- "avg": -1.0,
- "max": -1.0,
- "hdrh": ""
- }
- latency = {
- "NDR": {
- "direction1": copy.copy(latency_default),
- "direction2": copy.copy(latency_default)
- },
- "PDR": {
- "direction1": copy.copy(latency_default),
- "direction2": copy.copy(latency_default)
- },
- "LAT0": {
- "direction1": copy.copy(latency_default),
- "direction2": copy.copy(latency_default)
- },
- "PDR10": {
- "direction1": copy.copy(latency_default),
- "direction2": copy.copy(latency_default)
- },
- "PDR50": {
- "direction1": copy.copy(latency_default),
- "direction2": copy.copy(latency_default)
- },
- "PDR90": {
- "direction1": copy.copy(latency_default),
- "direction2": copy.copy(latency_default)
- },
- }
-
- groups = re.search(self.REGEX_NDRPDR_LAT, msg)
- if groups is None:
- groups = re.search(self.REGEX_NDRPDR_LAT_BASE, msg)
- if groups is None:
- return latency, "FAIL"
-
- def process_latency(in_str):
- """Return object with parsed latency values.
-
- TODO: Define class for the return type.
-
- :param in_str: Input string, min/avg/max/hdrh format.
- :type in_str: str
- :returns: Dict with corresponding keys, except hdrh float values.
- :rtype dict:
- :throws IndexError: If in_str does not have enough substrings.
- :throws ValueError: If a substring does not convert to float.
- """
- in_list = in_str.split('/', 3)
-
- rval = {
- "min": float(in_list[0]),
- "avg": float(in_list[1]),
- "max": float(in_list[2]),
- "hdrh": ""
- }
-
- if len(in_list) == 4:
- rval["hdrh"] = str(in_list[3])
-
- return rval
-
- try:
- latency["NDR"]["direction1"] = process_latency(groups.group(1))
- latency["NDR"]["direction2"] = process_latency(groups.group(2))
- latency["PDR"]["direction1"] = process_latency(groups.group(3))
- latency["PDR"]["direction2"] = process_latency(groups.group(4))
- if groups.lastindex == 4:
- return latency, "PASS"
- except (IndexError, ValueError):
- pass
-
- try:
- latency["PDR90"]["direction1"] = process_latency(groups.group(5))
- latency["PDR90"]["direction2"] = process_latency(groups.group(6))
- latency["PDR50"]["direction1"] = process_latency(groups.group(7))
- latency["PDR50"]["direction2"] = process_latency(groups.group(8))
- latency["PDR10"]["direction1"] = process_latency(groups.group(9))
- latency["PDR10"]["direction2"] = process_latency(groups.group(10))
- latency["LAT0"]["direction1"] = process_latency(groups.group(11))
- latency["LAT0"]["direction2"] = process_latency(groups.group(12))
- if groups.lastindex == 12:
- return latency, "PASS"
- except (IndexError, ValueError):
- pass
-
- return latency, "FAIL"
-
- @staticmethod
- def _get_hoststack_data(msg, tags):
- """Get data from the hoststack test message.
-
- :param msg: The test message to be parsed.
- :param tags: Test tags.
- :type msg: str
- :type tags: list
- :returns: Parsed data as a JSON dict and the status (PASS/FAIL).
- :rtype: tuple(dict, str)
- """
- result = dict()
- status = "FAIL"
-
- msg = msg.replace("'", '"').replace(" ", "")
- if "LDPRELOAD" in tags:
- try:
- result = loads(msg)
- status = "PASS"
- except JSONDecodeError:
- pass
- elif "VPPECHO" in tags:
- try:
- msg_lst = msg.replace("}{", "} {").split(" ")
- result = dict(
- client=loads(msg_lst[0]),
- server=loads(msg_lst[1])
- )
- status = "PASS"
- except (JSONDecodeError, IndexError):
- pass
-
- return result, status
-
- def _get_vsap_data(self, msg, tags):
- """Get data from the vsap test message.
-
- :param msg: The test message to be parsed.
- :param tags: Test tags.
- :type msg: str
- :type tags: list
- :returns: Parsed data as a JSON dict and the status (PASS/FAIL).
- :rtype: tuple(dict, str)
- """
- result = dict()
- status = "FAIL"
-
- groups = re.search(self.REGEX_VSAP_MSG_INFO, msg)
- if groups is not None:
- try:
- result["transfer-rate"] = float(groups.group(1)) * 1e3
- result["latency"] = float(groups.group(2))
- result["completed-requests"] = int(groups.group(5))
- result["failed-requests"] = int(groups.group(6))
- result["bytes-transferred"] = int(groups.group(4))
- if "TCP_CPS" in tags:
- result["cps"] = float(groups.group(3))
- elif "TCP_RPS" in tags:
- result["rps"] = float(groups.group(3))
- else:
- return result, status
- status = "PASS"
- except (IndexError, ValueError) as err:
- logging.warning(err)
- return result, status
-
- def visit_suite(self, suite):
- """Implements traversing through the suite and its direct children.
-
- :param suite: Suite to process.
- :type suite: Suite
- :returns: Nothing.
- """
- if self.start_suite(suite) is not False:
- suite.setup.visit(self)
- suite.suites.visit(self)
- suite.tests.visit(self)
- suite.teardown.visit(self)
- self.end_suite(suite)
-
- def start_suite(self, suite):
- """Called when suite starts.
-
- :param suite: Suite to process.
- :type suite: Suite
- :returns: Nothing.
- """
- try:
- parent_name = suite.parent.name
- except AttributeError:
- return
-
- self._data["suites"][suite.longname.lower().replace('"', "'").\
- replace(" ", "_")] = {
- "name": suite.name.lower(),
- "doc": suite.doc,
- "parent": parent_name,
- "level": len(suite.longname.split("."))
- }
-
- def visit_test(self, test):
- """Implements traversing through the test.
-
- :param test: Test to process.
- :type test: Test
- :returns: Nothing.
- """
- if self.start_test(test) is not False:
- test.setup.visit(self)
- test.body.visit(self)
- test.teardown.visit(self)
- self.end_test(test)
-
- def start_test(self, test):
- """Called when test starts.
-
- :param test: Test to process.
- :type test: Test
- :returns: Nothing.
- """
-
- self._sh_run_counter = 0
- self._telemetry_kw_counter = 0
- self._telemetry_msg_counter = 0
-
- longname_orig = test.longname.lower()
-
- # Check the ignore list
- if longname_orig in self._ignore:
- return
-
- tags = [str(tag) for tag in test.tags]
- test_result = dict()
-
- # Change the TC long name and name if defined in the mapping table
- longname = self._mapping.get(longname_orig, None)
- if longname is not None:
- name = longname.split('.')[-1]
- else:
- longname = longname_orig
- name = test.name.lower()
-
- # Remove TC number from the TC long name (backward compatibility):
- self._test_id = re.sub(self.REGEX_TC_NUMBER, "", longname)
- # Remove TC number from the TC name (not needed):
- test_result["name"] = re.sub(self.REGEX_TC_NUMBER, "", name)
-
- test_result["parent"] = test.parent.name.lower()
- test_result["tags"] = tags
- test_result["doc"] = test.doc
- test_result["type"] = ""
- test_result["status"] = test.status
- test_result["starttime"] = test.starttime
- test_result["endtime"] = test.endtime
-
- if test.status == "PASS":
- if "NDRPDR" in tags:
- if "TCP_PPS" in tags or "UDP_PPS" in tags:
- test_result["msg"] = self._get_data_from_pps_test_msg(
- test.message)
- elif "TCP_CPS" in tags or "UDP_CPS" in tags:
- test_result["msg"] = self._get_data_from_cps_test_msg(
- test.message)
- else:
- test_result["msg"] = self._get_data_from_perf_test_msg(
- test.message)
- elif "MRR" in tags or "FRMOBL" in tags or "BMRR" in tags:
- test_result["msg"] = self._get_data_from_mrr_test_msg(
- test.message)
- else:
- test_result["msg"] = test.message
- else:
- test_result["msg"] = test.message
-
- if "PERFTEST" in tags and "TREX" not in tags:
- # Replace info about cores (e.g. -1c-) with the info about threads
- # and cores (e.g. -1t1c-) in the long test case names and in the
- # test case names if necessary.
- tag_count = 0
- tag_tc = str()
- for tag in test_result["tags"]:
- groups = re.search(self.REGEX_TC_TAG, tag)
- if groups:
- tag_count += 1
- tag_tc = tag
-
- if tag_count == 1:
- self._test_id = re.sub(
- self.REGEX_TC_NAME_NEW, f"-{tag_tc.lower()}-",
- self._test_id, count=1
- )
- test_result["name"] = re.sub(
- self.REGEX_TC_NAME_NEW, f"-{tag_tc.lower()}-",
- test_result["name"], count=1
- )
- else:
- test_result["status"] = "FAIL"
- self._data["tests"][self._test_id] = test_result
- logging.debug(
- f"The test {self._test_id} has no or more than one "
- f"multi-threading tags.\n"
- f"Tags: {test_result['tags']}"
- )
- return
-
- if "DEVICETEST" in tags:
- test_result["type"] = "DEVICETEST"
- elif "NDRPDR" in tags:
- if "TCP_CPS" in tags or "UDP_CPS" in tags:
- test_result["type"] = "CPS"
- else:
- test_result["type"] = "NDRPDR"
- if test.status == "PASS":
- test_result["throughput"], test_result["status"] = \
- self._get_ndrpdr_throughput(test.message)
- test_result["gbps"], test_result["status"] = \
- self._get_ndrpdr_throughput_gbps(test.message)
- test_result["latency"], test_result["status"] = \
- self._get_ndrpdr_latency(test.message)
- elif "MRR" in tags or "FRMOBL" in tags or "BMRR" in tags:
- if "MRR" in tags:
- test_result["type"] = "MRR"
- else:
- test_result["type"] = "BMRR"
- if test.status == "PASS":
- test_result["result"] = dict()
- groups = re.search(self.REGEX_BMRR, test.message)
- if groups is not None:
- items_str = groups.group(1)
- items_float = [
- float(item.strip().replace("'", ""))
- for item in items_str.split(",")
- ]
- # Use whole list in CSIT-1180.
- stats = jumpavg.AvgStdevStats.for_runs(items_float)
- test_result["result"]["samples"] = items_float
- test_result["result"]["receive-rate"] = stats.avg
- test_result["result"]["receive-stdev"] = stats.stdev
- else:
- groups = re.search(self.REGEX_MRR, test.message)
- test_result["result"]["receive-rate"] = \
- float(groups.group(3)) / float(groups.group(1))
- elif "SOAK" in tags:
- test_result["type"] = "SOAK"
- if test.status == "PASS":
- test_result["throughput"], test_result["status"] = \
- self._get_plr_throughput(test.message)
- elif "LDP_NGINX" in tags:
- test_result["type"] = "LDP_NGINX"
- test_result["result"], test_result["status"] = \
- self._get_vsap_data(test.message, tags)
- elif "HOSTSTACK" in tags:
- test_result["type"] = "HOSTSTACK"
- if test.status == "PASS":
- test_result["result"], test_result["status"] = \
- self._get_hoststack_data(test.message, tags)
- elif "RECONF" in tags:
- test_result["type"] = "RECONF"
- if test.status == "PASS":
- test_result["result"] = None
- try:
- grps_loss = re.search(self.REGEX_RECONF_LOSS, test.message)
- grps_time = re.search(self.REGEX_RECONF_TIME, test.message)
- test_result["result"] = {
- "loss": int(grps_loss.group(1)),
- "time": float(grps_time.group(1))
- }
- except (AttributeError, IndexError, ValueError, TypeError):
- test_result["status"] = "FAIL"
- else:
- test_result["status"] = "FAIL"
-
- self._data["tests"][self._test_id] = test_result
-
- def visit_keyword(self, kw):
- """Implements traversing through the keyword and its child keywords.
-
- :param keyword: Keyword to process.
- :type keyword: Keyword
- :returns: Nothing.
- """
- if self.start_keyword(kw) is not False:
- if hasattr(kw, "body"):
- kw.body.visit(self)
- kw.teardown.visit(self)
- self.end_keyword(kw)
-
- def start_keyword(self, keyword):
- """Called when keyword starts. Default implementation does nothing.
-
- :param keyword: Keyword to process.
- :type keyword: Keyword
- :returns: Nothing.
- """
- self._kw_name = keyword.name
-
- def end_keyword(self, keyword):
- """Called when keyword ends. Default implementation does nothing.
-
- :param keyword: Keyword to process.
- :type keyword: Keyword
- :returns: Nothing.
- """
- _ = keyword
- self._kw_name = None
-
- def visit_message(self, msg):
- """Implements visiting the message.
-
- :param msg: Message to process.
- :type msg: Message
- :returns: Nothing.
- """
- if self.start_message(msg) is not False:
- self.end_message(msg)
-
- def start_message(self, msg):
- """Called when message starts. Get required information from messages:
- - VPP version.
-
- :param msg: Message to process.
- :type msg: Message
- :returns: Nothing.
- """
- if self._kw_name is None:
- return
- elif self._kw_name.count("Run Telemetry On All Duts"):
- if self._process_oper:
- self._telemetry_kw_counter += 1
- self._get_telemetry(msg)
- elif self._kw_name.count("Show Runtime On All Duts"):
- if self._process_oper:
- self._sh_run_counter += 1
- self._get_show_run(msg)
- elif self._kw_name.count("Show Vpp Version On All Duts"):
- if not self._version:
- self._get_vpp_version(msg)
- elif self._kw_name.count("Install Dpdk Framework On All Duts"):
- if not self._version:
- self._get_dpdk_version(msg)
- elif self._kw_name.count("Setup Framework"):
- if not self._testbed:
- self._get_testbed(msg)
- elif self._kw_name.count("Show Papi History On All Duts"):
- self._conf_history_lookup_nr = 0
- self._get_papi_history(msg)
-
-
-class InputData:
- """Input data
-
- The data is extracted from output.xml files generated by Jenkins jobs and
- stored in pandas' DataFrames.
-
- The data structure:
- - job name
- - build number
- - metadata
- (as described in ExecutionChecker documentation)
- - suites
- (as described in ExecutionChecker documentation)
- - tests
- (as described in ExecutionChecker documentation)
- """
-
- def __init__(self, spec, for_output):
- """Initialization.
-
- :param spec: Specification.
- :param for_output: Output to be generated from downloaded data.
- :type spec: Specification
- :type for_output: str
- """
-
- # Specification:
- self._cfg = spec
-
- self._for_output = for_output
-
- # Data store:
- self._input_data = pd.Series(dtype="float64")
-
- @property
- def data(self):
- """Getter - Input data.
-
- :returns: Input data
- :rtype: pandas.Series
- """
- return self._input_data
-
- def metadata(self, job, build):
- """Getter - metadata
-
- :param job: Job which metadata we want.
- :param build: Build which metadata we want.
- :type job: str
- :type build: str
- :returns: Metadata
- :rtype: pandas.Series
- """
- return self.data[job][build]["metadata"]
-
- def suites(self, job, build):
- """Getter - suites
-
- :param job: Job which suites we want.
- :param build: Build which suites we want.
- :type job: str
- :type build: str
- :returns: Suites.
- :rtype: pandas.Series
- """
- return self.data[job][str(build)]["suites"]
-
- def tests(self, job, build):
- """Getter - tests
-
- :param job: Job which tests we want.
- :param build: Build which tests we want.
- :type job: str
- :type build: str
- :returns: Tests.
- :rtype: pandas.Series
- """
- return self.data[job][build]["tests"]
-
- def _parse_tests(self, job, build):
- """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.
- :type job: str
- :type build: dict
- :returns: JSON data structure.
- :rtype: dict
- """
-
- metadata = {
- "job": job,
- "build": build
- }
-
- with open(build["file-name"], 'r') as data_file:
- try:
- result = ExecutionResult(data_file)
- except errors.DataError as err:
- logging.error(
- f"Error occurred while parsing output.xml: {repr(err)}"
- )
- return None
-
- process_oper = False
- if "-vpp-perf-report-coverage-" in job:
- process_oper = True
- # elif "-vpp-perf-report-iterative-" in job:
- # # Exceptions for TBs where we do not have coverage data:
- # for item in ("-2n-icx", ):
- # if item in job:
- # process_oper = True
- # break
- checker = ExecutionChecker(
- metadata, self._cfg.mapping, self._cfg.ignore, process_oper
- )
- result.visit(checker)
-
- checker.data["metadata"]["tests_total"] = \
- result.statistics.total.total
- checker.data["metadata"]["tests_passed"] = \
- result.statistics.total.passed
- checker.data["metadata"]["tests_failed"] = \
- result.statistics.total.failed
- checker.data["metadata"]["elapsedtime"] = result.suite.elapsedtime
- checker.data["metadata"]["generated"] = result.suite.endtime[:14]
-
- return checker.data
-
- 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 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 job: str
- :type build: dict
- :type repeat: int
- """
-
- logging.info(f"Processing the job/build: {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)
- if success:
- break
- do_repeat -= 1
- if not success:
- logging.error(
- f"It is not possible to download the input data file from the "
- f"job {job}, build {build['build']}, or it is damaged. "
- f"Skipped."
- )
- if success:
- logging.info(f" Processing data from build {build['build']}")
- data = self._parse_tests(job, build)
- if data is None:
- logging.error(
- f"Input data file from the job {job}, build "
- f"{build['build']} is damaged. Skipped."
- )
- else:
- state = "processed"
-
- try:
- remove(build["file-name"])
- except OSError as err:
- logging.error(
- f"Cannot remove the file {build['file-name']}: {repr(err)}"
- )
-
- # If the time-period is defined in the specification file, remove all
- # files which are outside the time period.
- is_last = False
- timeperiod = self._cfg.environment.get("time-period", None)
- if timeperiod and data:
- now = dt.utcnow()
- timeperiod = timedelta(int(timeperiod))
- metadata = data.get("metadata", None)
- if metadata:
- generated = metadata.get("generated", None)
- if generated:
- generated = dt.strptime(generated, "%Y%m%d %H:%M")
- if (now - generated) > timeperiod:
- # Remove the data and the file:
- state = "removed"
- data = None
- is_last = True
- logging.info(
- f" The build {job}/{build['build']} is "
- f"outdated, will be removed."
- )
- return {
- "data": data,
- "state": state,
- "job": job,
- "build": build,
- "last": is_last
- }
-
- 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 ...")
-
- for job, builds in self._cfg.input.items():
- for build in builds:
-
- result = self._download_and_parse_build(job, build, repeat)
- if result["last"]:
- break
- build_nr = result["build"]["build"]
-
- if result["data"]:
- data = result["data"]
- build_data = pd.Series({
- "metadata": pd.Series(
- list(data["metadata"].values()),
- index=list(data["metadata"].keys())
- ),
- "suites": pd.Series(
- list(data["suites"].values()),
- index=list(data["suites"].keys())
- ),
- "tests": pd.Series(
- list(data["tests"].values()),
- index=list(data["tests"].keys())
- )
- })
-
- if self._input_data.get(job, None) is None:
- self._input_data[job] = pd.Series(dtype="float64")
- 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"])
-
- mem_alloc = \
- resource.getrusage(resource.RUSAGE_SELF).ru_maxrss / 1000
- logging.info(f"Memory allocation: {mem_alloc:.0f}MB")
-
- logging.info("Done.")
-
- msg = f"Successful downloads from the sources:\n"
- for source in self._cfg.environment["data-sources"]:
- if source["successful-downloads"]:
- msg += (
- f"{source['url']}/{source['path']}/"
- f"{source['file-name']}: "
- f"{source['successful-downloads']}\n"
- )
- logging.info(msg)
-
- def process_local_file(self, local_file, job="local", build_nr=1,
- replace=True):
- """Process local XML file given as a command-line parameter.
-
- :param local_file: The file to process.
- :param job: Job name.
- :param build_nr: Build number.
- :param replace: If True, the information about jobs and builds is
- replaced by the new one, otherwise the new jobs and builds are
- added.
- :type local_file: str
- :type job: str
- :type build_nr: int
- :type replace: bool
- :raises: PresentationError if an error occurs.
- """
- if not isfile(local_file):
- raise PresentationError(f"The file {local_file} does not exist.")
-
- try:
- build_nr = int(local_file.split("/")[-1].split(".")[0])
- except (IndexError, ValueError):
- pass
-
- build = {
- "build": build_nr,
- "status": "failed",
- "file-name": local_file
- }
- if replace:
- self._cfg.input = dict()
- self._cfg.add_build(job, build)
-
- logging.info(f"Processing {job}: {build_nr:2d}: {local_file}")
- data = self._parse_tests(job, build)
- if data is None:
- raise PresentationError(
- f"Error occurred while parsing the file {local_file}"
- )
-
- build_data = pd.Series({
- "metadata": pd.Series(
- list(data["metadata"].values()),
- index=list(data["metadata"].keys())
- ),
- "suites": pd.Series(
- list(data["suites"].values()),
- index=list(data["suites"].keys())
- ),
- "tests": pd.Series(
- list(data["tests"].values()),
- index=list(data["tests"].keys())
- )
- })
-
- if self._input_data.get(job, None) is None:
- self._input_data[job] = pd.Series(dtype="float64")
- self._input_data[job][str(build_nr)] = build_data
-
- self._cfg.set_input_state(job, build_nr, "processed")
-
- def process_local_directory(self, local_dir, replace=True):
- """Process local directory with XML file(s). The directory is processed
- as a 'job' and the XML files in it as builds.
- If the given directory contains only sub-directories, these
- sub-directories processed as jobs and corresponding XML files as builds
- of their job.
-
- :param local_dir: Local directory to process.
- :param replace: If True, the information about jobs and builds is
- replaced by the new one, otherwise the new jobs and builds are
- added.
- :type local_dir: str
- :type replace: bool
- """
- if not isdir(local_dir):
- raise PresentationError(
- f"The directory {local_dir} does not exist."
- )
-
- # Check if the given directory includes only files, or only directories
- _, dirnames, filenames = next(walk(local_dir))
-
- if filenames and not dirnames:
- filenames.sort()
- # local_builds:
- # key: dir (job) name, value: list of file names (builds)
- local_builds = {
- local_dir: [join(local_dir, name) for name in filenames]
- }
-
- elif dirnames and not filenames:
- dirnames.sort()
- # local_builds:
- # key: dir (job) name, value: list of file names (builds)
- local_builds = dict()
- for dirname in dirnames:
- builds = [
- join(local_dir, dirname, name)
- for name in listdir(join(local_dir, dirname))
- if isfile(join(local_dir, dirname, name))
- ]
- if builds:
- local_builds[dirname] = sorted(builds)
-
- elif not filenames and not dirnames:
- raise PresentationError(f"The directory {local_dir} is empty.")
- else:
- raise PresentationError(
- f"The directory {local_dir} can include only files or only "
- f"directories, not both.\nThe directory {local_dir} includes "
- f"file(s):\n{filenames}\nand directories:\n{dirnames}"
- )
-
- if replace:
- self._cfg.input = dict()
-
- for job, files in local_builds.items():
- for idx, local_file in enumerate(files):
- self.process_local_file(local_file, job, idx + 1, replace=False)
-
- @staticmethod
- def _end_of_tag(tag_filter, start=0, closer="'"):
- """Return the index of character in the string which is the end of tag.
-
- :param tag_filter: The string where the end of tag is being searched.
- :param start: The index where the searching is stated.
- :param closer: The character which is the tag closer.
- :type tag_filter: str
- :type start: int
- :type closer: str
- :returns: The index of the tag closer.
- :rtype: int
- """
- try:
- idx_opener = tag_filter.index(closer, start)
- return tag_filter.index(closer, idx_opener + 1)
- except ValueError:
- return None
-
- @staticmethod
- def _condition(tag_filter):
- """Create a conditional statement from the given tag filter.
-
- :param tag_filter: Filter based on tags from the element specification.
- :type tag_filter: str
- :returns: Conditional statement which can be evaluated.
- :rtype: str
- """
- index = 0
- while True:
- index = InputData._end_of_tag(tag_filter, index)
- if index is None:
- return tag_filter
- index += 1
- tag_filter = tag_filter[:index] + " in tags" + tag_filter[index:]
-
- def filter_data(self, element, params=None, data=None, data_set="tests",
- continue_on_error=False):
- """Filter required data from the given jobs and builds.
-
- The output data structure is:
- - job 1
- - build 1
- - test (or suite) 1 ID:
- - param 1
- - param 2
- ...
- - param n
- ...
- - test (or suite) n ID:
- ...
- ...
- - build n
- ...
- - job n
-
- :param element: Element which will use the filtered data.
- :param params: Parameters which will be included in the output. If None,
- all parameters are included.
- :param data: If not None, this data is used instead of data specified
- in the element.
- :param data_set: The set of data to be filtered: tests, suites,
- metadata.
- :param continue_on_error: Continue if there is error while reading the
- data. The Item will be empty then
- :type element: pandas.Series
- :type params: list
- :type data: dict
- :type data_set: str
- :type continue_on_error: bool
- :returns: Filtered data.
- :rtype pandas.Series
- """
-
- try:
- if data_set == "suites":
- cond = "True"
- elif element["filter"] in ("all", "template"):
- cond = "True"
- else:
- cond = InputData._condition(element["filter"])
- logging.debug(f" Filter: {cond}")
- except KeyError:
- logging.error(" No filter defined.")
- return None
-
- if params is None:
- params = element.get("parameters", None)
- if params:
- params.extend(("type", "status"))
-
- data_to_filter = data if data else element["data"]
- data = pd.Series(dtype="float64")
- try:
- for job, builds in data_to_filter.items():
- data[job] = pd.Series(dtype="float64")
- for build in builds:
- data[job][str(build)] = pd.Series(dtype="float64")
- try:
- data_dict = dict(
- self.data[job][str(build)][data_set].items())
- except KeyError:
- if continue_on_error:
- continue
- return None
-
- for test_id, test_data in data_dict.items():
- if eval(cond, {"tags": test_data.get("tags", "")}):
- data[job][str(build)][test_id] = \
- pd.Series(dtype="float64")
- if params is None:
- for param, val in test_data.items():
- data[job][str(build)][test_id][param] = val
- else:
- for param in params:
- try:
- data[job][str(build)][test_id][param] =\
- test_data[param]
- except KeyError:
- data[job][str(build)][test_id][param] =\
- "No Data"
- return data
-
- except (KeyError, IndexError, ValueError) as err:
- logging.error(
- f"Missing mandatory parameter in the element specification: "
- f"{repr(err)}"
- )
- return None
- except AttributeError as err:
- logging.error(repr(err))
- return None
- except SyntaxError as err:
- logging.error(
- f"The filter {cond} is not correct. Check if all tags are "
- f"enclosed by apostrophes.\n{repr(err)}"
- )
- return None
-
- def filter_tests_by_name(self, element, params=None, data_set="tests",
- continue_on_error=False):
- """Filter required data from the given jobs and builds.
-
- The output data structure is:
- - job 1
- - build 1
- - test (or suite) 1 ID:
- - param 1
- - param 2
- ...
- - param n
- ...
- - test (or suite) n ID:
- ...
- ...
- - build n
- ...
- - job n
-
- :param element: Element which will use the filtered data.
- :param params: Parameters which will be included in the output. If None,
- all parameters are included.
- :param data_set: The set of data to be filtered: tests, suites,
- metadata.
- :param continue_on_error: Continue if there is error while reading the
- data. The Item will be empty then
- :type element: pandas.Series
- :type params: list
- :type data_set: str
- :type continue_on_error: bool
- :returns: Filtered data.
- :rtype pandas.Series
- """
-
- include = element.get("include", None)
- if not include:
- logging.warning("No tests to include, skipping the element.")
- return None
-
- if params is None:
- params = element.get("parameters", None)
- if params and "type" not in params:
- params.append("type")
-
- cores = element.get("core", None)
- if cores:
- tests = list()
- for core in cores:
- for test in include:
- tests.append(test.format(core=core))
- else:
- tests = include
-
- data = pd.Series(dtype="float64")
- try:
- for job, builds in element["data"].items():
- data[job] = pd.Series(dtype="float64")
- for build in builds:
- data[job][str(build)] = pd.Series(dtype="float64")
- for test in tests:
- try:
- reg_ex = re.compile(str(test).lower())
- for test_id in self.data[job][
- str(build)][data_set].keys():
- if re.match(reg_ex, str(test_id).lower()):
- test_data = self.data[job][
- str(build)][data_set][test_id]
- data[job][str(build)][test_id] = \
- pd.Series(dtype="float64")
- if params is None:
- for param, val in test_data.items():
- data[job][str(build)][test_id]\
- [param] = val
- else:
- for param in params:
- try:
- data[job][str(build)][
- test_id][param] = \
- test_data[param]
- except KeyError:
- data[job][str(build)][
- test_id][param] = "No Data"
- except KeyError as err:
- if continue_on_error:
- logging.debug(repr(err))
- continue
- logging.error(repr(err))
- return None
- return data
-
- except (KeyError, IndexError, ValueError) as err:
- logging.error(
- f"Missing mandatory parameter in the element "
- f"specification: {repr(err)}"
- )
- return None
- except AttributeError as err:
- logging.error(repr(err))
- return None
-
- @staticmethod
- def merge_data(data):
- """Merge data from more jobs and builds to a simple data structure.
-
- The output data structure is:
-
- - test (suite) 1 ID:
- - param 1
- - param 2
- ...
- - param n
- ...
- - test (suite) n ID:
- ...
-
- :param data: Data to merge.
- :type data: pandas.Series
- :returns: Merged data.
- :rtype: pandas.Series
- """
-
- logging.info(" Merging data ...")
-
- merged_data = pd.Series(dtype="float64")
- for builds in data.values:
- for item in builds.values:
- for item_id, item_data in item.items():
- merged_data[item_id] = item_data
- return merged_data
-
- def print_all_oper_data(self):
- """Print all operational data to console.
- """
-
- for job in self._input_data.values:
- for build in job.values:
- for test_id, test_data in build["tests"].items():
- print(f"{test_id}")
- if test_data.get("show-run", None) is None:
- continue
- for dut_name, data in test_data["show-run"].items():
- if data.get("runtime", None) is None:
- continue
- runtime = loads(data["runtime"])
- try:
- threads_nr = len(runtime[0]["clocks"])
- except (IndexError, KeyError):
- continue
- threads = OrderedDict(
- {idx: list() for idx in range(threads_nr)})
- for item in runtime:
- for idx in range(threads_nr):
- if item["vectors"][idx] > 0:
- clocks = item["clocks"][idx] / \
- item["vectors"][idx]
- elif item["calls"][idx] > 0:
- clocks = item["clocks"][idx] / \
- item["calls"][idx]
- elif item["suspends"][idx] > 0:
- clocks = item["clocks"][idx] / \
- item["suspends"][idx]
- else:
- clocks = 0.0
-
- if item["calls"][idx] > 0:
- vectors_call = item["vectors"][idx] / \
- item["calls"][idx]
- else:
- vectors_call = 0.0
-
- if int(item["calls"][idx]) + int(
- item["vectors"][idx]) + \
- int(item["suspends"][idx]):
- threads[idx].append([
- item["name"],
- item["calls"][idx],
- item["vectors"][idx],
- item["suspends"][idx],
- clocks,
- vectors_call
- ])
-
- print(f"Host IP: {data.get('host', '')}, "
- f"Socket: {data.get('socket', '')}")
- for thread_nr, thread in threads.items():
- txt_table = prettytable.PrettyTable(
- (
- "Name",
- "Nr of Vectors",
- "Nr of Packets",
- "Suspends",
- "Cycles per Packet",
- "Average Vector Size"
- )
- )
- avg = 0.0
- for row in thread:
- txt_table.add_row(row)
- avg += row[-1]
- if len(thread) == 0:
- avg = ""
- else:
- avg = f", Average Vector Size per Node: " \
- f"{(avg / len(thread)):.2f}"
- th_name = "main" if thread_nr == 0 \
- else f"worker_{thread_nr}"
- print(f"{dut_name}, {th_name}{avg}")
- txt_table.float_format = ".2"
- txt_table.align = "r"
- txt_table.align["Name"] = "l"
- print(f"{txt_table.get_string()}\n")
Code Review / csit.git / blobdiff