1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
|
# 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.
"""Function used by Dash applications.
"""
import dash_bootstrap_components as dbc
from numpy import isnan
from dash import dcc
from datetime import datetime
from ..jumpavg import classify
from ..utils.constants import Constants as C
from ..utils.url_processing import url_encode
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
def get_color(idx: int) -> str:
"""Returns a color from the list defined in Constants.PLOT_COLORS defined by
its index.
:param idx: Index of the color.
:type idex: int
:returns: Color defined by hex code.
:trype: str
"""
return C.PLOT_COLORS[idx % len(C.PLOT_COLORS)]
def show_tooltip(tooltips:dict, id: str, title: str,
clipboard_id: str=None) -> list:
"""Generate list of elements to display a text (e.g. a title) with a
tooltip and optionaly with Copy&Paste icon and the clipboard
functionality enabled.
:param tooltips: Dictionary with tooltips.
:param id: Tooltip ID.
:param title: A text for which the tooltip will be displayed.
:param clipboard_id: If defined, a Copy&Paste icon is displayed and the
clipboard functionality is enabled.
:type tooltips: dict
:type id: str
:type title: str
:type clipboard_id: str
:returns: List of elements to display a text with a tooltip and
optionaly with Copy&Paste icon.
:rtype: list
"""
return [
dcc.Clipboard(target_id=clipboard_id, title="Copy URL") \
if clipboard_id else str(),
f"{title} ",
dbc.Badge(
id=id,
children="?",
pill=True,
color="white",
text_color="info",
class_name="border ms-1",
),
dbc.Tooltip(
children=tooltips.get(id, str()),
target=id,
placement="auto"
)
]
def label(key: str) -> str:
"""Returns a label for input elements (dropdowns, ...).
If the label is not defined, the function returns the provided key.
:param key: The key to the label defined in Constants.LABELS.
:type key: str
:returns: Label.
:rtype: str
"""
return C.LABELS.get(key, key)
def sync_checklists(options: list, sel: list, all: list, id: str) -> tuple:
"""Synchronize a checklist with defined "options" with its "All" checklist.
:param options: List of options for the cheklist.
:param sel: List of selected options.
:param all: List of selected option from "All" checklist.
:param id: ID of a checklist to be used for synchronization.
:returns: Tuple of lists with otions for both checklists.
:rtype: tuple of lists
"""
opts = {v["value"] for v in options}
if id =="all":
sel = list(opts) if all else list()
else:
all = ["all", ] if set(sel) == opts else list()
return sel, all
def list_tests(selection: dict) -> list:
"""Transform list of tests to a list of dictionaries usable by checkboxes.
:param selection: List of tests to be displayed in "Selected tests" window.
:type selection: list
:returns: List of dictionaries with "label", "value" pairs for a checkbox.
:rtype: list
"""
if selection:
return [{"label": v["id"], "value": v["id"]} for v in selection]
else:
return list()
def get_date(s_date: str) -> datetime:
"""Transform string reprezentation of date to datetime.datetime data type.
:param s_date: String reprezentation of date.
:type s_date: str
:returns: Date as datetime.datetime.
:rtype: datetime.datetime
"""
return datetime(int(s_date[0:4]), int(s_date[5:7]), int(s_date[8:10]))
def gen_new_url(parsed_url: dict, params: dict) -> str:
"""Generate a new URL with encoded parameters.
:param parsed_url: Dictionary with URL elements. It should contain "scheme",
"netloc" and "path".
:param params: URL parameters to be encoded to the URL.
:type parsed_url: dict
:type params: dict
:returns Encoded URL with parameters.
:rtype: str
"""
if parsed_url:
return url_encode(
{
"scheme": parsed_url.get("scheme", ""),
"netloc": parsed_url.get("netloc", ""),
"path": parsed_url.get("path", ""),
"params": params
}
)
else:
return str()
|
