UTI: Move constatns to a separate file

Change-Id: If3796b71d02bcf5a92612585dfa8867e5039f037
Signed-off-by: Tibor Frank <tifrank@cisco.com>

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