1 # Copyright (c) 2022 Cisco and/or its affiliates.
2 # Licensed under the Apache License, Version 2.0 (the "License");
3 # you may not use this file except in compliance with the License.
4 # You may obtain a copy of the License at:
6 # http://www.apache.org/licenses/LICENSE-2.0
8 # Unless required by applicable law or agreed to in writing, software
9 # distributed under the License is distributed on an "AS IS" BASIS,
10 # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
11 # See the License for the specific language governing permissions and
12 # limitations under the License.
14 """Plotly Dash HTML layout override.
19 import dash_bootstrap_components as dbc
21 from flask import Flask
24 from dash import callback_context
25 from dash import Input, Output
26 from yaml import load, FullLoader, YAMLError
28 from ..data.data import Data
29 from ..utils.constants import Constants as C
30 from ..utils.utils import classify_anomalies, show_tooltip, gen_new_url
31 from ..utils.url_processing import url_decode
32 from ..data.data import Data
33 from .tables import table_summary
37 """The layout of the dash app and the callbacks.
40 def __init__(self, app: Flask, html_layout_file: str, data_spec_file: str,
41 tooltip_file: str) -> None:
43 - save the input parameters,
44 - read and pre-process the data,
45 - prepare data for the control panel,
46 - read HTML layout file,
47 - read tooltips from the tooltip file.
49 :param app: Flask application running the dash application.
50 :param html_layout_file: Path and name of the file specifying the HTML
51 layout of the dash application.
52 :param data_spec_file: Path and name of the file specifying the data to
53 be read from parquets for this application.
54 :param tooltip_file: Path and name of the yaml file specifying the
57 :type html_layout_file: str
58 :type data_spec_file: str
59 :type tooltip_file: str
64 self._html_layout_file = html_layout_file
65 self._data_spec_file = data_spec_file
66 self._tooltip_file = tooltip_file
69 data_stats, data_mrr, data_ndrpdr = Data(
70 data_spec_file=self._data_spec_file,
72 ).read_stats(days=C.NEWS_TIME_PERIOD)
74 df_tst_info = pd.concat([data_mrr, data_ndrpdr], ignore_index=True)
76 # Prepare information for the control panel:
77 self._jobs = sorted(list(df_tst_info["job"].unique()))
85 for job in self._jobs:
86 lst_job = job.split("-")
87 d_job_info["job"].append(job)
88 d_job_info["dut"].append(lst_job[1])
89 d_job_info["ttype"].append(lst_job[3])
90 d_job_info["cadence"].append(lst_job[4])
91 d_job_info["tbed"].append("-".join(lst_job[-2:]))
92 self.job_info = pd.DataFrame.from_dict(d_job_info)
94 # Pre-process the data:
96 def _create_test_name(test: str) -> str:
97 lst_tst = test.split(".")
98 suite = lst_tst[-2].replace("2n1l-", "").replace("1n1l-", "").\
100 return f"{suite.split('-')[0]}-{lst_tst[-1]}"
102 def _get_rindex(array: list, itm: any) -> int:
103 return len(array) - 1 - array[::-1].index(itm)
110 "dut_version": list(),
113 "regressions": list(),
114 "progressions": list()
116 for job in self._jobs:
117 # Create lists of failed tests:
118 df_job = df_tst_info.loc[(df_tst_info["job"] == job)]
119 last_build = str(max(pd.to_numeric(df_job["build"].unique())))
120 df_build = df_job.loc[(df_job["build"] == last_build)]
121 tst_info["job"].append(job)
122 tst_info["build"].append(last_build)
123 tst_info["start"].append(data_stats.loc[
124 (data_stats["job"] == job) &
125 (data_stats["build"] == last_build)
126 ]["start_time"].iloc[-1].strftime('%Y-%m-%d %H:%M'))
127 tst_info["dut_type"].append(df_build["dut_type"].iloc[-1])
128 tst_info["dut_version"].append(df_build["dut_version"].iloc[-1])
129 tst_info["hosts"].append(df_build["hosts"].iloc[-1])
130 failed_tests = df_build.loc[(df_build["passed"] == False)]\
131 ["test_id"].to_list()
134 for tst in failed_tests:
135 l_failed.append(_create_test_name(tst))
138 tst_info["failed"].append(sorted(l_failed))
140 # Create lists of regressions and progressions:
144 tests = df_job["test_id"].unique()
146 tst_data = df_job.loc[df_job["test_id"] == test].sort_values(
147 by="start_time", ignore_index=True)
148 x_axis = tst_data["start_time"].tolist()
149 if "-ndrpdr" in test:
150 tst_data = tst_data.dropna(
151 subset=["result_pdr_lower_rate_value", ]
156 anomalies, _, _ = classify_anomalies({
157 k: v for k, v in zip(
159 tst_data["result_ndr_lower_rate_value"].tolist()
164 if "progression" in anomalies:
166 _create_test_name(test).replace("-ndrpdr", "-ndr"),
167 x_axis[_get_rindex(anomalies, "progression")]
169 if "regression" in anomalies:
171 _create_test_name(test).replace("-ndrpdr", "-ndr"),
172 x_axis[_get_rindex(anomalies, "regression")]
175 anomalies, _, _ = classify_anomalies({
176 k: v for k, v in zip(
178 tst_data["result_pdr_lower_rate_value"].tolist()
183 if "progression" in anomalies:
185 _create_test_name(test).replace("-ndrpdr", "-pdr"),
186 x_axis[_get_rindex(anomalies, "progression")]
188 if "regression" in anomalies:
190 _create_test_name(test).replace("-ndrpdr", "-pdr"),
191 x_axis[_get_rindex(anomalies, "regression")]
194 tst_data = tst_data.dropna(
195 subset=["result_receive_rate_rate_avg", ]
200 anomalies, _, _ = classify_anomalies({
201 k: v for k, v in zip(
203 tst_data["result_receive_rate_rate_avg"].\
209 if "progression" in anomalies:
211 _create_test_name(test),
212 x_axis[_get_rindex(anomalies, "progression")]
214 if "regression" in anomalies:
216 _create_test_name(test),
217 x_axis[_get_rindex(anomalies, "regression")]
220 tst_info["regressions"].append(
221 sorted(l_reg, key=lambda k: k[1], reverse=True))
222 tst_info["progressions"].append(
223 sorted(l_prog, key=lambda k: k[1], reverse=True))
225 self._data = pd.DataFrame.from_dict(tst_info)
228 self._html_layout = str()
229 self._tooltips = dict()
232 with open(self._html_layout_file, "r") as file_read:
233 self._html_layout = file_read.read()
234 except IOError as err:
236 f"Not possible to open the file {self._html_layout_file}\n{err}"
240 with open(self._tooltip_file, "r") as file_read:
241 self._tooltips = load(file_read, Loader=FullLoader)
242 except IOError as err:
244 f"Not possible to open the file {self._tooltip_file}\n{err}"
246 except YAMLError as err:
248 f"An error occurred while parsing the specification file "
249 f"{self._tooltip_file}\n{err}"
252 self._default_period = C.NEWS_SHORT
253 self._default_active = (False, True, False)
254 self._default_table = \
255 table_summary(self._data, self._jobs, self._default_period)
258 if self._app is not None and hasattr(self, 'callbacks'):
259 self.callbacks(self._app)
262 def html_layout(self) -> dict:
263 return self._html_layout
265 def add_content(self):
266 """Top level method which generated the web page.
269 - Store for user input data,
271 - Main area with control panel and ploting area.
273 If no HTML layout is provided, an error message is displayed instead.
275 :returns: The HTML div with the whole page.
283 dcc.Location(id="url", refresh=False),
295 self._add_ctrl_col(),
296 self._add_plotting_col(),
314 def _add_navbar(self):
315 """Add nav element with navigation panel. It is placed on the top.
317 :returns: Navigation bar.
318 :rtype: dbc.NavbarSimple
321 return dbc.NavbarSimple(
322 id="navbarsimple-main",
326 "Continuous Performance News",
335 brand_external_link=True,
340 def _add_ctrl_col(self) -> dbc.Col:
341 """Add column with control panel. It is placed on the left side.
343 :returns: Column with the control panel.
350 self._add_ctrl_panel(),
354 def _add_plotting_col(self) -> dbc.Col:
355 """Add column with tables. It is placed on the right side.
357 :returns: Column with tables.
362 id="col-plotting-area",
366 dbc.Row( # Failed tests
368 class_name="g-0 p-2",
369 children=self._default_table
372 class_name="g-0 p-2",
381 children=show_tooltip(
404 def _add_ctrl_panel(self) -> dbc.Row:
405 """Add control panel.
407 :returns: Control panel.
415 class_name="g-0 p-2",
422 children=show_tooltip(self._tooltips,
423 "help-summary-period", "Window")
440 f"Last {C.NEWS_SHORT} Runs",
463 def callbacks(self, app):
464 """Callbacks for the whole application.
466 :param app: The application.
471 Output("row-table", "children"),
472 Output("input-url", "value"),
473 Output("period-last", "active"),
474 Output("period-short", "active"),
475 Output("period-long", "active"),
476 Input("period-last", "n_clicks"),
477 Input("period-short", "n_clicks"),
478 Input("period-long", "n_clicks"),
481 def _update_application(btn_last: int, btn_short: int, btn_long: int,
483 """Update the application when the event is detected.
485 :returns: New values for web page elements.
489 _, _, _ = btn_last, btn_short, btn_long
492 "period-last": C.NEWS_LAST,
493 "period-short": C.NEWS_SHORT,
494 "period-long": C.NEWS_LONG
497 "period-last": (True, False, False),
498 "period-short": (False, True, False),
499 "period-long": (False, False, True)
503 parsed_url = url_decode(href)
505 url_params = parsed_url["params"]
509 trigger_id = callback_context.triggered[0]["prop_id"].split(".")[0]
510 if trigger_id == "url" and url_params:
511 trigger_id = url_params.get("period", list())[0]
513 period = periods.get(trigger_id, self._default_period)
514 active = actives.get(trigger_id, self._default_active)
517 table_summary(self._data, self._jobs, period),
518 gen_new_url(parsed_url, {"period": trigger_id})
520 ret_val.extend(active)