--- /dev/null
+# 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.
+
+"""Plotly Dash HTML layout override.
+"""
+
+import logging
+import pandas as pd
+import dash_bootstrap_components as dbc
+
+from flask import Flask
+from dash import dcc
+from dash import html
+from dash import callback_context, no_update
+from dash import Input, Output, State
+from dash.exceptions import PreventUpdate
+from yaml import load, FullLoader, YAMLError
+from datetime import datetime
+from copy import deepcopy
+
+from ..utils.constants import Constants as C
+from ..utils.utils import show_tooltip, gen_new_url, get_ttypes, get_cadences, \
+ get_test_beds, get_job, generate_options, set_job_params
+from ..utils.url_processing import url_decode
+from ..data.data import Data
+from .graphs import graph_statistics, select_data
+
+
+class Layout:
+ """The layout of the dash app and the callbacks.
+ """
+
+ def __init__(self, app: Flask, html_layout_file: str,
+ graph_layout_file: str, data_spec_file: str, tooltip_file: str,
+ time_period: int=None) -> None:
+ """Initialization:
+ - save the input parameters,
+ - read and pre-process the data,
+ - prepare data for the control panel,
+ - read HTML layout file,
+ - read tooltips from the tooltip file.
+
+ :param app: Flask application running the dash application.
+ :param html_layout_file: Path and name of the file specifying the HTML
+ layout of the dash application.
+ :param graph_layout_file: Path and name of the file with layout of
+ plot.ly graphs.
+ :param data_spec_file: Path and name of the file specifying the data to
+ be read from parquets for this application.
+ :param tooltip_file: Path and name of the yaml file specifying the
+ tooltips.
+ :param time_period: It defines the time period for data read from the
+ parquets in days from now back to the past.
+ :type app: Flask
+ :type html_layout_file: str
+ :type graph_layout_file: str
+ :type data_spec_file: str
+ :type tooltip_file: str
+ :type time_period: int
+ """
+
+ # Inputs
+ self._app = app
+ self._html_layout_file = html_layout_file
+ self._graph_layout_file = graph_layout_file
+ self._data_spec_file = data_spec_file
+ self._tooltip_file = tooltip_file
+ self._time_period = time_period
+
+ # Read the data:
+ data_stats, data_mrr, data_ndrpdr = Data(
+ data_spec_file=self._data_spec_file,
+ debug=True
+ ).read_stats(days=self._time_period)
+
+ df_tst_info = pd.concat([data_mrr, data_ndrpdr], ignore_index=True)
+
+ # Pre-process the data:
+ data_stats = data_stats[~data_stats.job.str.contains("-verify-")]
+ data_stats = data_stats[~data_stats.job.str.contains("-coverage-")]
+ data_stats = data_stats[~data_stats.job.str.contains("-iterative-")]
+ data_stats = data_stats[["job", "build", "start_time", "duration"]]
+
+ data_time_period = \
+ (datetime.utcnow() - data_stats["start_time"].min()).days
+ if self._time_period > data_time_period:
+ self._time_period = data_time_period
+
+ jobs = sorted(list(data_stats["job"].unique()))
+ d_job_info = {
+ "job": list(),
+ "dut": list(),
+ "ttype": list(),
+ "cadence": list(),
+ "tbed": list()
+ }
+ for job in jobs:
+ lst_job = job.split("-")
+ d_job_info["job"].append(job)
+ d_job_info["dut"].append(lst_job[1])
+ d_job_info["ttype"].append(lst_job[3])
+ d_job_info["cadence"].append(lst_job[4])
+ d_job_info["tbed"].append("-".join(lst_job[-2:]))
+ self.job_info = pd.DataFrame.from_dict(d_job_info)
+
+ self._default = set_job_params(self.job_info, C.STATS_DEFAULT_JOB)
+
+ tst_info = {
+ "job": list(),
+ "build": list(),
+ "dut_type": list(),
+ "dut_version": list(),
+ "hosts": list(),
+ "passed": list(),
+ "failed": list(),
+ "lst_failed": list()
+ }
+ for job in jobs:
+ df_job = df_tst_info.loc[(df_tst_info["job"] == job)]
+ builds = df_job["build"].unique()
+ for build in builds:
+ df_build = df_job.loc[(df_job["build"] == build)]
+ tst_info["job"].append(job)
+ tst_info["build"].append(build)
+ tst_info["dut_type"].append(df_build["dut_type"].iloc[-1])
+ tst_info["dut_version"].append(df_build["dut_version"].iloc[-1])
+ tst_info["hosts"].append(df_build["hosts"].iloc[-1])
+ try:
+ passed = df_build.value_counts(subset="passed")[True]
+ except KeyError:
+ passed = 0
+ try:
+ failed = df_build.value_counts(subset="passed")[False]
+ failed_tests = df_build.loc[(df_build["passed"] == False)]\
+ ["test_id"].to_list()
+ l_failed = list()
+ for tst in failed_tests:
+ lst_tst = tst.split(".")
+ suite = lst_tst[-2].replace("2n1l-", "").\
+ replace("1n1l-", "").replace("2n-", "")
+ l_failed.append(f"{suite.split('-')[0]}-{lst_tst[-1]}")
+ except KeyError:
+ failed = 0
+ l_failed = list()
+ tst_info["passed"].append(passed)
+ tst_info["failed"].append(failed)
+ tst_info["lst_failed"].append(sorted(l_failed))
+
+ self._data = data_stats.merge(pd.DataFrame.from_dict(tst_info))
+
+ # Read from files:
+ self._html_layout = ""
+ self._graph_layout = None
+ self._tooltips = dict()
+
+ try:
+ with open(self._html_layout_file, "r") as file_read:
+ self._html_layout = file_read.read()
+ except IOError as err:
+ raise RuntimeError(
+ f"Not possible to open the file {self._html_layout_file}\n{err}"
+ )
+
+ try:
+ with open(self._graph_layout_file, "r") as file_read:
+ self._graph_layout = load(file_read, Loader=FullLoader)
+ except IOError as err:
+ raise RuntimeError(
+ f"Not possible to open the file {self._graph_layout_file}\n"
+ f"{err}"
+ )
+ except YAMLError as err:
+ raise RuntimeError(
+ f"An error occurred while parsing the specification file "
+ f"{self._graph_layout_file}\n{err}"
+ )
+
+ try:
+ with open(self._tooltip_file, "r") as file_read:
+ self._tooltips = load(file_read, Loader=FullLoader)
+ except IOError as err:
+ logging.warning(
+ f"Not possible to open the file {self._tooltip_file}\n{err}"
+ )
+ except YAMLError as err:
+ logging.warning(
+ f"An error occurred while parsing the specification file "
+ f"{self._tooltip_file}\n{err}"
+ )
+
+
+ self._default_fig_passed, self._default_fig_duration = graph_statistics(
+ self.data, self._default["job"], self.layout
+ )
+
+ # Callbacks:
+ if self._app is not None and hasattr(self, 'callbacks'):
+ self.callbacks(self._app)
+
+ @property
+ def html_layout(self) -> dict:
+ return self._html_layout
+
+ @property
+ def data(self) -> pd.DataFrame:
+ return self._data
+
+ @property
+ def layout(self) -> dict:
+ return self._graph_layout
+
+ @property
+ def time_period(self) -> int:
+ return self._time_period
+
+ @property
+ def default(self) -> any:
+ return self._default
+
+ def add_content(self):
+ """Top level method which generated the web page.
+
+ It generates:
+ - Store for user input data,
+ - Navigation bar,
+ - Main area with control panel and ploting area.
+
+ If no HTML layout is provided, an error message is displayed instead.
+
+ :returns: The HTML div with the whole page.
+ :rtype: html.Div
+ """
+
+ if self.html_layout:
+ return html.Div(
+ id="div-main",
+ className="small",
+ children=[
+ dcc.Store(id="control-panel"),
+ dcc.Location(id="url", refresh=False),
+ dbc.Row(
+ id="row-navbar",
+ class_name="g-0",
+ children=[
+ self._add_navbar(),
+ ]
+ ),
+ dcc.Loading(
+ dbc.Offcanvas(
+ class_name="w-50",
+ id="offcanvas-metadata",
+ title="Detailed Information",
+ placement="end",
+ is_open=False,
+ children=[
+ dbc.Row(id="row-metadata")
+ ]
+ )
+ ),
+ dbc.Row(
+ id="row-main",
+ class_name="g-0",
+ children=[
+ self._add_ctrl_col(),
+ self._add_plotting_col(),
+ ]
+ )
+ ]
+ )
+ else:
+ return html.Div(
+ id="div-main-error",
+ children=[
+ dbc.Alert(
+ [
+ "An Error Occured",
+ ],
+ color="danger",
+ ),
+ ]
+ )
+
+ def _add_navbar(self):
+ """Add nav element with navigation panel. It is placed on the top.
+
+ :returns: Navigation bar.
+ :rtype: dbc.NavbarSimple
+ """
+ return dbc.NavbarSimple(
+ id="navbarsimple-main",
+ children=[
+ dbc.NavItem(
+ dbc.NavLink(
+ "Continuous Performance Statistics",
+ disabled=True,
+ external_link=True,
+ href="#"
+ )
+ )
+ ],
+ brand="Dashboard",
+ brand_href="/",
+ brand_external_link=True,
+ class_name="p-2",
+ fluid=True,
+ )
+
+ def _add_ctrl_col(self) -> dbc.Col:
+ """Add column with controls. It is placed on the left side.
+
+ :returns: Column with the control panel.
+ :rtype: dbc.Col
+ """
+ return dbc.Col(
+ id="col-controls",
+ children=[
+ self._add_ctrl_panel(),
+ ],
+ )
+
+ def _add_plotting_col(self) -> dbc.Col:
+ """Add column with plots and tables. It is placed on the right side.
+
+ :returns: Column with tables.
+ :rtype: dbc.Col
+ """
+ return dbc.Col(
+ id="col-plotting-area",
+ children=[
+ dbc.Row( # Passed / failed tests
+ id="row-graph-passed",
+ class_name="g-0 p-2",
+ children=[
+ dcc.Loading(children=[
+ dcc.Graph(
+ id="graph-passed",
+ figure=self._default_fig_passed
+ )
+ ])
+ ]
+ ),
+ dbc.Row( # Duration
+ id="row-graph-duration",
+ class_name="g-0 p-2",
+ children=[
+ dcc.Loading(children=[
+ dcc.Graph(
+ id="graph-duration",
+ figure=self._default_fig_duration
+ )
+ ])
+ ]
+ ),
+ dbc.Row(
+ class_name="g-0 p-2",
+ align="center",
+ justify="start",
+ children=[
+ dbc.Col( # Download
+ width=2,
+ children=[
+ dcc.Loading(children=[
+ dbc.Button(
+ id="btn-download-data",
+ children=show_tooltip(self._tooltips,
+ "help-download", "Download Data"),
+ class_name="me-1",
+ color="info"
+ ),
+ dcc.Download(id="download-data")
+ ])
+ ]
+ ),
+ dbc.Col( # Show URL
+ width=10,
+ children=[
+ dbc.InputGroup(
+ class_name="me-1",
+ children=[
+ dbc.InputGroupText(
+ style=C.URL_STYLE,
+ children=show_tooltip(
+ self._tooltips,
+ "help-url", "URL",
+ "input-url"
+ )
+ ),
+ dbc.Input(
+ id="input-url",
+ readonly=True,
+ type="url",
+ style=C.URL_STYLE,
+ value=""
+ )
+ ]
+ )
+ ]
+ )
+ ]
+ )
+ ],
+ width=9,
+ )
+
+ def _add_ctrl_panel(self) -> dbc.Row:
+ """Add control panel.
+
+ :returns: Control panel.
+ :rtype: dbc.Row
+ """
+ return dbc.Row(
+ id="row-ctrl-panel",
+ class_name="g-0",
+ children=[
+ dbc.Row(
+ class_name="g-0 p-2",
+ children=[
+ dbc.Row(
+ class_name="gy-1",
+ children=[
+ dbc.Label(
+ class_name="p-0",
+ children=show_tooltip(self._tooltips,
+ "help-dut", "Device under Test")
+ ),
+ dbc.Row(
+ dbc.RadioItems(
+ id="ri-duts",
+ inline=True,
+ value=self.default["dut"],
+ options=self.default["duts"]
+ )
+ )
+ ]
+ ),
+ dbc.Row(
+ class_name="gy-1",
+ children=[
+ dbc.Label(
+ class_name="p-0",
+ children=show_tooltip(self._tooltips,
+ "help-ttype", "Test Type"),
+ ),
+ dbc.RadioItems(
+ id="ri-ttypes",
+ inline=True,
+ value=self.default["ttype"],
+ options=self.default["ttypes"]
+ )
+ ]
+ ),
+ dbc.Row(
+ class_name="gy-1",
+ children=[
+ dbc.Label(
+ class_name="p-0",
+ children=show_tooltip(self._tooltips,
+ "help-cadence", "Cadence"),
+ ),
+ dbc.RadioItems(
+ id="ri-cadences",
+ inline=True,
+ value=self.default["cadence"],
+ options=self.default["cadences"]
+ )
+ ]
+ ),
+ dbc.Row(
+ class_name="gy-1",
+ children=[
+ dbc.Label(
+ class_name="p-0",
+ children=show_tooltip(self._tooltips,
+ "help-tbed", "Test Bed"),
+ ),
+ dbc.Select(
+ id="dd-tbeds",
+ placeholder="Select a test bed...",
+ value=self.default["tbed"],
+ options=self.default["tbeds"]
+ )
+ ]
+ ),
+ dbc.Row(
+ class_name="gy-1",
+ children=[
+ dbc.Alert(
+ id="al-job",
+ color="info",
+ children=self.default["job"]
+ )
+ ]
+ )
+ ]
+ ),
+ ]
+ )
+
+ class ControlPanel:
+ """A class representing the control panel.
+ """
+
+ def __init__(self, panel: dict, default: dict) -> None:
+ """Initialisation of the control pannel by default values. If
+ particular values are provided (parameter "panel") they are set
+ afterwards.
+
+ :param panel: Custom values to be set to the control panel.
+ :param default: Default values to be set to the control panel.
+ :type panel: dict
+ :type defaults: dict
+ """
+
+ self._defaults = {
+ "ri-ttypes-options": default["ttypes"],
+ "ri-cadences-options": default["cadences"],
+ "dd-tbeds-options": default["tbeds"],
+ "ri-duts-value": default["dut"],
+ "ri-ttypes-value": default["ttype"],
+ "ri-cadences-value": default["cadence"],
+ "dd-tbeds-value": default["tbed"],
+ "al-job-children": default["job"]
+ }
+ self._panel = deepcopy(self._defaults)
+ if panel:
+ for key in self._defaults:
+ self._panel[key] = panel[key]
+
+ def set(self, kwargs: dict) -> None:
+ """Set the values of the Control panel.
+
+ :param kwargs: key - value pairs to be set.
+ :type kwargs: dict
+ :raises KeyError: If the key in kwargs is not present in the Control
+ panel.
+ """
+ for key, val in kwargs.items():
+ if key in self._panel:
+ self._panel[key] = val
+ else:
+ raise KeyError(f"The key {key} is not defined.")
+
+ @property
+ def defaults(self) -> dict:
+ return self._defaults
+
+ @property
+ def panel(self) -> dict:
+ return self._panel
+
+ def get(self, key: str) -> any:
+ """Returns the value of a key from the Control panel.
+
+ :param key: The key which value should be returned.
+ :type key: str
+ :returns: The value of the key.
+ :rtype: any
+ :raises KeyError: If the key in kwargs is not present in the Control
+ panel.
+ """
+ return self._panel[key]
+
+ def values(self) -> list:
+ """Returns the values from the Control panel as a list.
+
+ :returns: The values from the Control panel.
+ :rtype: list
+ """
+ return list(self._panel.values())
+
+
+ def callbacks(self, app):
+ """Callbacks for the whole application.
+
+ :param app: The application.
+ :type app: Flask
+ """
+
+ @app.callback(
+ Output("control-panel", "data"), # Store
+ Output("graph-passed", "figure"),
+ Output("graph-duration", "figure"),
+ Output("input-url", "value"),
+ Output("ri-ttypes", "options"),
+ Output("ri-cadences", "options"),
+ Output("dd-tbeds", "options"),
+ Output("ri-duts", "value"),
+ Output("ri-ttypes", "value"),
+ Output("ri-cadences", "value"),
+ Output("dd-tbeds", "value"),
+ Output("al-job", "children"),
+ State("control-panel", "data"), # Store
+ Input("ri-duts", "value"),
+ Input("ri-ttypes", "value"),
+ Input("ri-cadences", "value"),
+ Input("dd-tbeds", "value"),
+ Input("url", "href")
+ )
+ def _update_ctrl_panel(cp_data: dict, dut: str, ttype: str, cadence:str,
+ tbed: str, href: str) -> tuple:
+ """Update the application when the event is detected.
+
+ :param cp_data: Current status of the control panel stored in
+ browser.
+ :param dut: Input - DUT name.
+ :param ttype: Input - Test type.
+ :param cadence: Input - The cadence of the job.
+ :param tbed: Input - The test bed.
+ :param href: Input - The URL provided by the browser.
+ :type cp_data: dict
+ :type dut: str
+ :type ttype: str
+ :type cadence: str
+ :type tbed: str
+ :type href: str
+ :returns: New values for web page elements.
+ :rtype: tuple
+ """
+
+ ctrl_panel = self.ControlPanel(cp_data, self.default)
+
+ # Parse the url:
+ parsed_url = url_decode(href)
+ if parsed_url:
+ url_params = parsed_url["params"]
+ else:
+ url_params = None
+
+ trigger_id = callback_context.triggered[0]["prop_id"].split(".")[0]
+ if trigger_id == "ri-duts":
+ ttype_opts = generate_options(get_ttypes(self.job_info, dut))
+ ttype_val = ttype_opts[0]["value"]
+ cad_opts = generate_options(get_cadences(
+ self.job_info, dut, ttype_val))
+ cad_val = cad_opts[0]["value"]
+ tbed_opts = generate_options(get_test_beds(
+ self.job_info, dut, ttype_val, cad_val))
+ tbed_val = tbed_opts[0]["value"]
+ ctrl_panel.set({
+ "ri-duts-value": dut,
+ "ri-ttypes-options": ttype_opts,
+ "ri-ttypes-value": ttype_val,
+ "ri-cadences-options": cad_opts,
+ "ri-cadences-value": cad_val,
+ "dd-tbeds-options": tbed_opts,
+ "dd-tbeds-value": tbed_val
+ })
+ elif trigger_id == "ri-ttypes":
+ cad_opts = generate_options(get_cadences(
+ self.job_info, ctrl_panel.get("ri-duts-value"), ttype))
+ cad_val = cad_opts[0]["value"]
+ tbed_opts = generate_options(get_test_beds(
+ self.job_info, ctrl_panel.get("ri-duts-value"), ttype,
+ cad_val))
+ tbed_val = tbed_opts[0]["value"]
+ ctrl_panel.set({
+ "ri-ttypes-value": ttype,
+ "ri-cadences-options": cad_opts,
+ "ri-cadences-value": cad_val,
+ "dd-tbeds-options": tbed_opts,
+ "dd-tbeds-value": tbed_val
+ })
+ elif trigger_id == "ri-cadences":
+ tbed_opts = generate_options(get_test_beds(
+ self.job_info, ctrl_panel.get("ri-duts-value"),
+ ctrl_panel.get("ri-ttypes-value"), cadence))
+ tbed_val = tbed_opts[0]["value"]
+ ctrl_panel.set({
+ "ri-cadences-value": cadence,
+ "dd-tbeds-options": tbed_opts,
+ "dd-tbeds-value": tbed_val
+ })
+ elif trigger_id == "dd-tbeds":
+ ctrl_panel.set({
+ "dd-tbeds-value": tbed
+ })
+ elif trigger_id == "url":
+ if url_params:
+ new_job = url_params.get("job", list())[0]
+ if new_job:
+ job_params = set_job_params(self.job_info, new_job)
+ ctrl_panel = self.ControlPanel(None, job_params)
+ else:
+ ctrl_panel = self.ControlPanel(cp_data, self.default)
+
+ job = get_job(
+ self.job_info,
+ ctrl_panel.get("ri-duts-value"),
+ ctrl_panel.get("ri-ttypes-value"),
+ ctrl_panel.get("ri-cadences-value"),
+ ctrl_panel.get("dd-tbeds-value")
+ )
+
+ ctrl_panel.set({"al-job-children": job})
+ fig_passed, fig_duration = \
+ graph_statistics(self.data, job, self.layout)
+
+ ret_val = [
+ ctrl_panel.panel,
+ fig_passed,
+ fig_duration,
+ gen_new_url(parsed_url, {"job": job})
+ ]
+ ret_val.extend(ctrl_panel.values())
+ return ret_val
+
+ @app.callback(
+ Output("download-data", "data"),
+ State("control-panel", "data"), # Store
+ Input("btn-download-data", "n_clicks"),
+ prevent_initial_call=True
+ )
+ def _download_data(cp_data: dict, n_clicks: int):
+ """Download the data
+
+ :param cp_data: Current status of the control panel stored in
+ browser.
+ :param n_clicks: Number of clicks on the button "Download".
+ :type cp_data: dict
+ :type n_clicks: int
+ :returns: dict of data frame content (base64 encoded) and meta data
+ used by the Download component.
+ :rtype: dict
+ """
+ if not (n_clicks):
+ raise PreventUpdate
+
+ ctrl_panel = self.ControlPanel(cp_data, self.default)
+
+ job = get_job(
+ self.job_info,
+ ctrl_panel.get("ri-duts-value"),
+ ctrl_panel.get("ri-ttypes-value"),
+ ctrl_panel.get("ri-cadences-value"),
+ ctrl_panel.get("dd-tbeds-value")
+ )
+
+ data = select_data(self.data, job)
+ data = data.drop(columns=["job", ])
+
+ return dcc.send_data_frame(
+ data.T.to_csv, f"{job}-{C.STATS_DOWNLOAD_FILE_NAME}")
+
+ @app.callback(
+ Output("row-metadata", "children"),
+ Output("offcanvas-metadata", "is_open"),
+ Input("graph-passed", "clickData"),
+ Input("graph-duration", "clickData"),
+ prevent_initial_call=True
+ )
+ def _show_metadata_from_graphs(
+ passed_data: dict, duration_data: dict) -> tuple:
+ """Generates the data for the offcanvas displayed when a particular
+ point in a graph is clicked on.
+
+ :param passed_data: The data from the clicked point in the graph
+ displaying the pass/fail data.
+ :param duration_data: The data from the clicked point in the graph
+ displaying the duration data.
+ :type passed_data: dict
+ :type duration data: dict
+ :returns: The data to be displayed on the offcanvas (job statistics
+ and the list of failed tests) and the information to show the
+ offcanvas.
+ :rtype: tuple(list, bool)
+ """
+
+ if not (passed_data or duration_data):
+ raise PreventUpdate
+
+ metadata = no_update
+ open_canvas = False
+ title = "Job Statistics"
+ trigger_id = callback_context.triggered[0]["prop_id"].split(".")[0]
+ if trigger_id == "graph-passed":
+ graph_data = passed_data["points"][0].get("hovertext", "")
+ elif trigger_id == "graph-duration":
+ graph_data = duration_data["points"][0].get("text", "")
+ if graph_data:
+ lst_graph_data = graph_data.split("<br>")
+
+ # Prepare list of failed tests:
+ job = str()
+ build = str()
+ for itm in lst_graph_data:
+ if "csit-ref:" in itm:
+ job, build = itm.split(" ")[-1].split("/")
+ break
+ if job and build:
+ fail_tests = self.data.loc[
+ (self.data["job"] == job) &
+ (self.data["build"] == build)
+ ]["lst_failed"].values[0]
+ if not fail_tests:
+ fail_tests = None
+ else:
+ fail_tests = None
+
+ # Create the content of the offcanvas:
+ metadata = [
+ dbc.Card(
+ class_name="gy-2 p-0",
+ children=[
+ dbc.CardHeader(children=[
+ dcc.Clipboard(
+ target_id="metadata",
+ title="Copy",
+ style={"display": "inline-block"}
+ ),
+ title
+ ]),
+ dbc.CardBody(
+ id="metadata",
+ class_name="p-0",
+ children=[dbc.ListGroup(
+ children=[
+ dbc.ListGroupItem(
+ [
+ dbc.Badge(
+ x.split(":")[0]
+ ),
+ x.split(": ")[1]
+ ]
+ ) for x in lst_graph_data
+ ],
+ flush=True),
+ ]
+ )
+ ]
+ )
+ ]
+
+ if fail_tests is not None:
+ metadata.append(
+ dbc.Card(
+ class_name="gy-2 p-0",
+ children=[
+ dbc.CardHeader(
+ f"List of Failed Tests ({len(fail_tests)})"
+ ),
+ dbc.CardBody(
+ id="failed-tests",
+ class_name="p-0",
+ children=[dbc.ListGroup(
+ children=[
+ dbc.ListGroupItem(x) \
+ for x in fail_tests
+ ],
+ flush=True),
+ ]
+ )
+ ]
+ )
+ )
+
+ open_canvas = True
+
+ return metadata, open_canvas
Code Review / csit.git / blobdiff