diff options
Diffstat (limited to 'resources/tools/dash/app/pal/data')
-rw-r--r-- | resources/tools/dash/app/pal/data/data.py | 4 | ||||
-rw-r--r-- | resources/tools/dash/app/pal/data/tooltips.yaml | 40 | ||||
-rw-r--r-- | resources/tools/dash/app/pal/data/url_processing.py | 99 | ||||
-rw-r--r-- | resources/tools/dash/app/pal/data/utils.py | 69 |
4 files changed, 1 insertions, 211 deletions
diff --git a/resources/tools/dash/app/pal/data/data.py b/resources/tools/dash/app/pal/data/data.py index 296db024c0..0956333e34 100644 --- a/resources/tools/dash/app/pal/data/data.py +++ b/resources/tools/dash/app/pal/data/data.py @@ -15,15 +15,13 @@ """ import logging +import awswrangler as wr from yaml import load, FullLoader, YAMLError from datetime import datetime, timedelta from time import time from pytz import UTC from pandas import DataFrame - -import awswrangler as wr - from awswrangler.exceptions import EmptyDataFrame, NoFilesFound diff --git a/resources/tools/dash/app/pal/data/tooltips.yaml b/resources/tools/dash/app/pal/data/tooltips.yaml deleted file mode 100644 index 2086b575a9..0000000000 --- a/resources/tools/dash/app/pal/data/tooltips.yaml +++ /dev/null @@ -1,40 +0,0 @@ -help-area: - The area defines a VPP packet path and lookup type. -help-cadence: - The cadence of the Jenkins job which runs the tests. -help-cores: - Number of cores the DUT uses during the test. -help-download: - Download the selected data as a csv file. -help-dut: - Device Under Test (DUT) - In software networking, “device” denotes a specific - piece of software tasked with packet processing. Such device is surrounded - with other software components (such as operating system kernel). -help-dut-ver: - The version of the Device under Test. -help-framesize: - Frame size - size of an Ethernet Layer-2 frame on the wire, including any VLAN - tags (dot1q, dot1ad) and Ethernet FCS, but excluding Ethernet preamble and - inter-frame gap. Measured in Bytes. -help-infra: - Infrastructure is defined by the toplology (number of nodes), processor - architecture, NIC and driver. -help-normalize: - Normalize the results to CPU frequency 2GHz. The results from AWS environment - are not normalized as we do not know the exact value of CPU frequency. -help-release: - The CSIT release. -help-tbed: - The test bed is defined by toplology (number of nodes) and processor - architecture. -help-test: - The test specification consists of packet encapsulation, VPP packet processing - (packet forwarding mode and packet processing function(s)) and packet - forwarding path. -help-time-period: - Choose a time period for selected tests. -help-ttype: - Main measured variable. -help-url: - URL with current configuration. If there is no "Copy URL" button, use triple - click. diff --git a/resources/tools/dash/app/pal/data/url_processing.py b/resources/tools/dash/app/pal/data/url_processing.py deleted file mode 100644 index 9307015d0d..0000000000 --- a/resources/tools/dash/app/pal/data/url_processing.py +++ /dev/null @@ -1,99 +0,0 @@ -# Copyright (c) 2022 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. - -"""URL decoding and parsing and URL encoding. -""" - -import logging - -from base64 import urlsafe_b64encode, urlsafe_b64decode -from urllib.parse import urlencode, urlunparse, urlparse, parse_qs -from zlib import compress, decompress -from zlib import error as ZlibErr -from binascii import Error as BinasciiErr - - -def url_encode(params: dict) -> str: - """Encode the URL parameters and zip them and create the whole URL using - given data. - - :param params: All data necessary to create the URL: - - scheme, - - network location, - - path, - - query, - - parameters. - :type params: dict - :returns: Encoded URL. - :rtype: str - """ - - url_params = params.get("params", None) - if url_params: - encoded_params = urlsafe_b64encode( - compress(urlencode(url_params).encode("utf-8"), level=9) - ).rstrip(b"=").decode("utf-8") - else: - encoded_params = str() - - return urlunparse(( - params.get("scheme", "http"), - params.get("netloc", str()), - params.get("path", str()), - str(), # params - params.get("query", str()), - encoded_params - )) - - -def url_decode(url: str) -> dict: - """Parse the given URL and decode the parameters. - - :param url: URL to be parsed and decoded. - :type url: str - :returns: Paresed URL. - :rtype: dict - """ - - try: - parsed_url = urlparse(url) - except ValueError as err: - logging.warning(f"\nThe url {url} is not valid, ignoring.\n{repr(err)}") - return None - - if parsed_url.fragment: - try: - padding = b"=" * (4 - (len(parsed_url.fragment) % 4)) - params = parse_qs(decompress( - urlsafe_b64decode( - (parsed_url.fragment.encode("utf-8") + padding) - )).decode("utf-8") - ) - except (BinasciiErr, UnicodeDecodeError, ZlibErr) as err: - logging.warning( - f"\nNot possible to decode the parameters from url: {url}" - f"\nEncoded parameters: '{parsed_url.fragment}'" - f"\n{repr(err)}" - ) - return None - else: - params = None - - return { - "scheme": parsed_url.scheme, - "netloc": parsed_url.netloc, - "path": parsed_url.path, - "query": parsed_url.query, - "fragment": parsed_url.fragment, - "params": params - } diff --git a/resources/tools/dash/app/pal/data/utils.py b/resources/tools/dash/app/pal/data/utils.py deleted file mode 100644 index 63c9c1aaa4..0000000000 --- a/resources/tools/dash/app/pal/data/utils.py +++ /dev/null @@ -1,69 +0,0 @@ -# Copyright (c) 2022 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. - -""" -""" - -from numpy import isnan - -from ..jumpavg import classify - - -def classify_anomalies(data): - """Process the data and return anomalies and trending values. - - Gather data into groups with average as trend value. - Decorate values within groups to be normal, - the first value of changed average as a regression, or a progression. - - :param data: Full data set with unavailable samples replaced by nan. - :type data: OrderedDict - :returns: Classification and trend values - :rtype: 3-tuple, list of strings, list of floats and list of floats - """ - # NaN means something went wrong. - # Use 0.0 to cause that being reported as a severe regression. - bare_data = [0.0 if isnan(sample) else sample for sample in data.values()] - # TODO: Make BitCountingGroupList a subclass of list again? - group_list = classify(bare_data).group_list - group_list.reverse() # Just to use .pop() for FIFO. - classification = list() - avgs = list() - stdevs = list() - active_group = None - values_left = 0 - avg = 0.0 - stdv = 0.0 - for sample in data.values(): - if isnan(sample): - classification.append("outlier") - avgs.append(sample) - stdevs.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 = group_list.pop() - values_left = len(active_group.run_list) - avg = active_group.stats.avg - stdv = active_group.stats.stdev - classification.append(active_group.comment) - avgs.append(avg) - stdevs.append(stdv) - values_left -= 1 - continue - classification.append("normal") - avgs.append(avg) - stdevs.append(stdv) - values_left -= 1 - return classification, avgs, stdevs |