aboutsummaryrefslogtreecommitdiffstats
path: root/resources
diff options
context:
space:
mode:
authorVratko Polak <vrpolak@cisco.com>2019-12-02 19:01:35 +0100
committerVratko Polak <vrpolak@cisco.com>2019-12-02 19:01:35 +0100
commitbd799a13a06c82e9b38097ea80ec30337edd5e8e (patch)
treea07e553c33e73a8fa28849bd8fdbbe018a8a0868 /resources
parent627cddca1d64edb8475407a1524efb2a22249a25 (diff)
Use Jumpavg 0.2.0 in PAL
+ As a side effect, PAL is now part of "resource" package tree. - Testable only with 23558 (the rest of PAL Python 3 migration). Change-Id: Icbd90fd71458c07bced86f4bab9fa4e68282c38c Signed-off-by: Vratko Polak <vrpolak@cisco.com>
Diffstat (limited to 'resources')
-rw-r--r--resources/tools/presentation/__init__.py18
-rw-r--r--resources/tools/presentation/generator_CPTA.py9
-rw-r--r--resources/tools/presentation/generator_plots.py4
-rw-r--r--resources/tools/presentation/generator_tables.py6
-rw-r--r--resources/tools/presentation/input_data_parser.py18
-rw-r--r--resources/tools/presentation/requirements.txt1
-rw-r--r--resources/tools/presentation/specification_parser.py4
-rw-r--r--resources/tools/presentation/utils.py30
8 files changed, 52 insertions, 38 deletions
diff --git a/resources/tools/presentation/__init__.py b/resources/tools/presentation/__init__.py
new file mode 100644
index 0000000000..a3b7344358
--- /dev/null
+++ b/resources/tools/presentation/__init__.py
@@ -0,0 +1,18 @@
+# Copyright (c) 2019 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.
+
+"""
+__init__ file for directory presentation
+
+This makes the presentation a part of the great CSIT resources package.
+"""
diff --git a/resources/tools/presentation/generator_CPTA.py b/resources/tools/presentation/generator_CPTA.py
index f57757f451..eec401bd1f 100644
--- a/resources/tools/presentation/generator_CPTA.py
+++ b/resources/tools/presentation/generator_CPTA.py
@@ -181,7 +181,7 @@ def _generate_trending_traces(in_data, job_name, build_info,
if "dpdk" in job_name:
hover_text.append(hover_str.format(
date=date,
- value=int(in_data[idx].avg),
+ value=int(in_data[idx]),
sut="dpdk",
build=build_info[job_name][str(idx)][1].rsplit('~', 1)[0],
period="weekly",
@@ -190,7 +190,7 @@ def _generate_trending_traces(in_data, job_name, build_info,
elif "vpp" in job_name:
hover_text.append(hover_str.format(
date=date,
- value=int(in_data[idx].avg),
+ value=int(in_data[idx]),
sut="vpp",
build=build_info[job_name][str(idx)][1].rsplit('~', 1)[0],
period="daily",
@@ -228,7 +228,7 @@ def _generate_trending_traces(in_data, job_name, build_info,
trace_samples = plgo.Scatter(
x=xaxis,
- y=[y.avg for y in data_y],
+ y=[y for y in data_y], # Was: y.avg
mode='markers',
line={
"width": 1
@@ -364,8 +364,7 @@ def _generate_all_charts(spec, input_data):
tst_lst = list()
for bld in builds_dict[job_name]:
itm = tst_data.get(int(bld), '')
- if not isinstance(itm, str):
- itm = itm.avg
+ # CSIT-1180: Itm will be list, compute stats.
tst_lst.append(str(itm))
csv_tbl.append("{0},".format(tst_name) + ",".join(tst_lst) + '\n')
diff --git a/resources/tools/presentation/generator_plots.py b/resources/tools/presentation/generator_plots.py
index 0e0faff5bc..3cbd35c430 100644
--- a/resources/tools/presentation/generator_plots.py
+++ b/resources/tools/presentation/generator_plots.py
@@ -1822,7 +1822,7 @@ def plot_service_density_heatmap(plot, input_data):
stdev=None)
try:
if plot["include-tests"] == "MRR":
- result = test["result"]["receive-rate"].avg
+ result = test["result"]["receive-rate"] # .avg
elif plot["include-tests"] == "PDR":
result = test["throughput"]["PDR"]["LOWER"]
elif plot["include-tests"] == "NDR":
@@ -2110,7 +2110,7 @@ def plot_service_density_heatmap_compare(plot, input_data):
stdev_c=None)
try:
if plot["include-tests"] == "MRR":
- result = test["result"]["receive-rate"].avg
+ result = test["result"]["receive-rate"] # .avg
elif plot["include-tests"] == "PDR":
result = test["throughput"]["PDR"]["LOWER"]
elif plot["include-tests"] == "NDR":
diff --git a/resources/tools/presentation/generator_tables.py b/resources/tools/presentation/generator_tables.py
index 1a47e81361..4a1ac0ef71 100644
--- a/resources/tools/presentation/generator_tables.py
+++ b/resources/tools/presentation/generator_tables.py
@@ -213,7 +213,7 @@ def _tpc_modify_displayed_test_name(test_name):
def _tpc_insert_data(target, src, include_tests):
try:
if include_tests == "MRR":
- target.append(src["result"]["receive-rate"].avg)
+ target.append(src["result"]["receive-rate"]) # .avg)
elif include_tests == "PDR":
target.append(src["throughput"]["PDR"]["LOWER"])
elif include_tests == "NDR":
@@ -876,7 +876,7 @@ def table_nics_comparison(table, input_data):
"cmp-data": list()}
try:
if table["include-tests"] == "MRR":
- result = tst_data["result"]["receive-rate"].avg
+ result = tst_data["result"]["receive-rate"] # .avg
elif table["include-tests"] == "PDR":
result = tst_data["throughput"]["PDR"]["LOWER"]
elif table["include-tests"] == "NDR":
@@ -998,7 +998,7 @@ def table_soak_vs_ndr(table, input_data):
try:
if tst_data["type"] in ("NDRPDR", "MRR", "BMRR"):
if table["include-tests"] == "MRR":
- result = tst_data["result"]["receive-rate"].avg
+ result = tst_data["result"]["receive-rate"]
elif table["include-tests"] == "PDR":
result = tst_data["throughput"]["PDR"]["LOWER"]
elif table["include-tests"] == "NDR":
diff --git a/resources/tools/presentation/input_data_parser.py b/resources/tools/presentation/input_data_parser.py
index 46c8b9d5b9..e48b271489 100644
--- a/resources/tools/presentation/input_data_parser.py
+++ b/resources/tools/presentation/input_data_parser.py
@@ -34,8 +34,8 @@ from os import remove
from datetime import datetime as dt
from datetime import timedelta
from json import loads
-from jumpavg.AvgStdevMetadataFactory import AvgStdevMetadataFactory
+from resources.libraries.python import jumpavg
from input_data_files import download_and_unzip_data_file
@@ -147,7 +147,9 @@ class ExecutionChecker(ResultVisitor):
"type": "MRR" | "BMRR",
"status": "PASS" | "FAIL",
"result": {
- "receive-rate": AvgStdevMetadata,
+ "receive-rate": float,
+ # Average of a list, computed using AvgStdevStats.
+ # In CSIT-1180, replace with List[float].
}
}
@@ -832,17 +834,13 @@ class ExecutionChecker(ResultVisitor):
items_str = groups.group(1)
items_float = [float(item.strip()) for item
in items_str.split(",")]
- metadata = AvgStdevMetadataFactory.from_data(items_float)
- # Next two lines have been introduced in CSIT-1179,
- # to be removed in CSIT-1180.
- metadata.size = 1
- metadata.stdev = 0.0
- test_result["result"]["receive-rate"] = metadata
+ # Use whole list in CSIT-1180.
+ stats = jumpavg.AvgStdevStats.for_runs(items_float)
+ test_result["result"]["receive-rate"] = stats.avg
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)), ])
+ float(groups.group(3)) / float(groups.group(1))
elif test_result["type"] == "RECONF":
test_result["result"] = None
diff --git a/resources/tools/presentation/requirements.txt b/resources/tools/presentation/requirements.txt
index 7845af3c76..1676983658 100644
--- a/resources/tools/presentation/requirements.txt
+++ b/resources/tools/presentation/requirements.txt
@@ -1,4 +1,3 @@
-jumpavg==0.1.3
Sphinx==1.7.6
sphinx-rtd-theme==0.4.0
robotframework==2.9.2
diff --git a/resources/tools/presentation/specification_parser.py b/resources/tools/presentation/specification_parser.py
index 16c69ce18c..f99c7515fb 100644
--- a/resources/tools/presentation/specification_parser.py
+++ b/resources/tools/presentation/specification_parser.py
@@ -22,8 +22,8 @@ from yaml import load, YAMLError
from pprint import pformat
from errors import PresentationError
-from utils import get_last_successful_build_number
-from utils import get_last_completed_build_number
+from utils import (
+ get_last_successful_build_number, get_last_completed_build_number)
class Specification:
diff --git a/resources/tools/presentation/utils.py b/resources/tools/presentation/utils.py
index 3f0d6ff084..3bd5a71e00 100644
--- a/resources/tools/presentation/utils.py
+++ b/resources/tools/presentation/utils.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2018 Cisco and/or its affiliates.
+# Copyright (c) 2019 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:
@@ -28,8 +28,8 @@ from shutil import move, Error
from datetime import datetime
from pandas import Series
+from resources.libraries.python import jumpavg
from errors import PresentationError
-from jumpavg.BitCountingClassifier import BitCountingClassifier
def mean(items):
@@ -270,30 +270,30 @@ def classify_anomalies(data):
:returns: Classification and trend values
:rtype: 2-tuple, list of strings and list of floats
"""
- # Nan mean something went wrong.
+ # Nan means something went wrong.
# Use 0.0 to cause that being reported as a severe regression.
- bare_data = [0.0 if np.isnan(sample.avg) else sample
- for _, sample in data.iteritems()]
- # TODO: Put analogous iterator into jumpavg library.
- groups = BitCountingClassifier().classify(bare_data)
- groups.reverse() # Just to use .pop() for FIFO.
+ bare_data = [0.0 if np.isnan(sample) else sample
+ for sample in data.itervalues()]
+ # TODO: Make BitCountingGroupList a subclass of list again?
+ group_list = jumpavg.classify(bare_data).group_list
+ group_list.reverse() # Just to use .pop() for FIFO.
classification = []
avgs = []
active_group = None
values_left = 0
avg = 0.0
- for _, sample in data.iteritems():
- if np.isnan(sample.avg):
+ for sample in data.itervalues():
+ if np.isnan(sample):
classification.append("outlier")
- avgs.append(sample.avg)
+ avgs.append(sample)
continue
if values_left < 1 or active_group is None:
values_left = 0
while values_left < 1: # Ignore empty groups (should not happen).
- active_group = groups.pop()
- values_left = len(active_group.values)
- avg = active_group.metadata.avg
- classification.append(active_group.metadata.classification)
+ active_group = group_list.pop()
+ values_left = len(active_group.run_list)
+ avg = active_group.stats.avg
+ classification.append(active_group.comment)
avgs.append(avg)
values_left -= 1
continue