- 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 multiprocessing
from collections import OrderedDict
from string import replace
from os import remove
+from jumpavg.AvgStdevMetadataFactory import AvgStdevMetadataFactory
from input_data_files import download_and_unzip_data_file
from utils import Worker
Performance tests:
{
- "metadata": { # Optional
- "version": "VPP version",
+ "metadata": {
+ "generated": "Timestamp",
+ "version": "SUT version",
"job": "Jenkins job name",
"build": "Information about the build"
},
"suites": {
- "Suite name 1": {
+ "Suite long name 1": {
+ "name": Suite name,
"doc": "Suite 1 documentation",
"parent": "Suite 1 parent",
"level": "Level of the suite in the suite hierarchy"
}
- "Suite name N": {
+ "Suite long name N": {
+ "name": Suite name,
"doc": "Suite N documentation",
"parent": "Suite 2 parent",
"level": "Level of the suite in the suite hierarchy"
"doc": "Test documentation"
"msg": "Test message"
"tags": ["tag 1", "tag 2", "tag n"],
- "type": "PDR" | "NDR",
- "throughput": {
+ "type": "PDR" | "NDR" | "TCP" | "MRR" | "BMRR",
+ "throughput": { # Only type: "PDR" | "NDR"
"value": int,
"unit": "pps" | "bps" | "percentage"
},
- "latency": {
+ "latency": { # Only type: "PDR" | "NDR"
"direction1": {
"100": {
"min": int,
}
}
},
- "lossTolerance": "lossTolerance", # Only for PDR
- "vat-history": "DUT1 and DUT2 VAT History"
+ "result": { # Only type: "TCP"
+ "value": int,
+ "unit": "cps" | "rps"
+ },
+ "result": { # Only type: "MRR" | "BMRR"
+ "receive-rate": AvgStdevMetadata,
},
+ "lossTolerance": "lossTolerance", # Only type: "PDR"
+ "vat-history": "DUT1 and DUT2 VAT History"
"show-run": "Show Run"
},
"ID" {
}
}
- Functional tests:
+ Functional tests:
{
"metadata": { # Optional
REGEX_RATE = re.compile(r'^[\D\d]*FINAL_RATE:\s(\d+\.\d+)\s(\w+)')
REGEX_LAT_NDR = re.compile(r'^[\D\d]*'
- r'LAT_\d+%NDR:\s\[\'(-?\d+\/-?\d+/-?\d+)\','
+ r'LAT_\d+%NDR:\s\[\'(-?\d+/-?\d+/-?\d+)\','
r'\s\'(-?\d+/-?\d+/-?\d+)\'\]\s\n'
r'LAT_\d+%NDR:\s\[\'(-?\d+/-?\d+/-?\d+)\','
r'\s\'(-?\d+/-?\d+/-?\d+)\'\]\s\n'
REGEX_MRR = re.compile(r'MaxReceivedRate_Results\s\[pkts/(\d*)sec\]:\s'
r'tx\s(\d*),\srx\s(\d*)')
+ REGEX_BMRR = re.compile(r'Maximum Receive Rate trial results'
+ r' in packets per second: \[(.*)\]')
+
+ REGEX_TC_TAG = re.compile(r'\d+[tT]\d+[cC]')
+
+ REGEX_TC_NAME_OLD = re.compile(r'-\d+[tT]\d+[cC]-')
+
+ REGEX_TC_NAME_NEW = re.compile(r'-\d+[cC]-')
+
def __init__(self, metadata):
"""Initialisation.
test_result["doc"] = replace(doc_str, ' |br| [', '[', maxreplace=1)
test_result["msg"] = test.message.replace('\n', ' |br| '). \
replace('\r', '').replace('"', "'")
+ test_result["status"] = test.status
+ self._test_ID = test.longname.lower()
if test.status == "PASS" and ("NDRPDRDISC" in tags or
"TCP" in tags or
- "MRR" in tags):
+ "MRR" in tags or
+ "BMRR" in tags):
if "NDRDISC" in tags:
test_type = "NDR"
elif "PDRDISC" in tags:
test_type = "TCP"
elif "MRR" in tags:
test_type = "MRR"
+ elif "FRMOBL" in tags or "BMRR" in tags:
+ test_type = "BMRR"
else:
return
test_result["type"] = test_type
+ # 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.
+ groups = re.search(self.REGEX_TC_NAME_OLD, self._test_ID)
+ if not groups:
+ tag_count = 0
+ 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,
+ "-{0}-".format(tag_tc.lower()),
+ self._test_ID,
+ count=1)
+ test_result["name"] = re.sub(self.REGEX_TC_NAME_NEW,
+ "-{0}-".format(tag_tc.lower()),
+ test_result["name"],
+ count=1)
+ else:
+ test_result["status"] = "FAIL"
+ logging.error("The test '{0}' has no or more than one "
+ "multi-threading tags.".format(self._test_ID))
+ return
+
if test_type in ("NDR", "PDR"):
try:
rate_value = str(re.search(
test_result["result"] = dict()
test_result["result"]["value"] = int(groups.group(2))
test_result["result"]["unit"] = groups.group(1)
- elif test_type in ("MRR", ):
- groups = re.search(self.REGEX_MRR, test.message)
+
+ elif test_type in ("MRR", "BMRR"):
test_result["result"] = dict()
- test_result["result"]["duration"] = int(groups.group(1))
- test_result["result"]["tx"] = int(groups.group(2))
- test_result["result"]["rx"] = int(groups.group(3))
- test_result["result"]["throughput"] = int(
- test_result["result"]["rx"] /
- test_result["result"]["duration"])
- else:
- test_result["status"] = test.status
+ groups = re.search(self.REGEX_BMRR, test.message)
+ if groups is not None:
+ items_str = groups.group(1)
+ items_float = [float(item.strip()) for item
+ in items_str.split(",")]
+ test_result["result"]["receive-rate"] = \
+ AvgStdevMetadataFactory.from_data(items_float)
+ else:
+ groups = re.search(self.REGEX_MRR, test.message)
+ test_result["result"]["receive-rate"] = \
+ AvgStdevMetadataFactory.from_data([
+ float(groups.group(3)) / float(groups.group(1)), ])
- self._test_ID = test.longname.lower()
self._data["tests"][self._test_ID] = test_result
def end_test(self, test):
- job name
- build number
- metadata
- - job
- - build
- - vpp version
+ (as described in ExecutionChecker documentation)
- suites
+ (as described in ExecutionChecker documentation)
- tests
- - ID: test data (as described in ExecutionChecker documentation)
+ (as described in ExecutionChecker documentation)
"""
def __init__(self, spec):
- job 1
- build 1
- - test (suite) 1 ID:
+ - test (or suite) 1 ID:
- param 1
- param 2
...
- param n
...
- - test (suite) n ID:
+ - test (or suite) n ID:
...
...
- build n