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|
# Copyright (c) 2024 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 ..utils.constants import Constants as C
from ..utils.control_panel import ControlPanel
from ..utils.utils import show_tooltip, gen_new_url, get_ttypes, get_cadences, \
get_test_beds, get_job, generate_options, set_job_params, navbar_trending
from ..utils.url_processing import url_decode
from .graphs import graph_statistics, select_data
class Layout:
"""The layout of the dash app and the callbacks.
"""
def __init__(
self,
app: Flask,
data_stats: pd.DataFrame,
data_trending: pd.DataFrame,
html_layout_file: str,
graph_layout_file: str,
tooltip_file: str
) -> 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 data_stats: Pandas dataframe with staistical data.
:param data_trending: Pandas dataframe with trending data.
: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 tooltip_file: Path and name of the yaml file specifying the
tooltips.
:type app: Flask
:type data_stats: pandas.DataFrame
:type data_trending: pandas.DataFrame
:type html_layout_file: str
:type graph_layout_file: str
:type tooltip_file: str
"""
# Inputs
self._app = app
self._html_layout_file = html_layout_file
self._graph_layout_file = graph_layout_file
self._tooltip_file = tooltip_file
# 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"]]
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 = data_trending.loc[(data_trending["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 = str()
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}"
)
# Control panel partameters and their default values.
self._cp_default = {
"ri-ttypes-options": self._default["ttypes"],
"ri-cadences-options": self._default["cadences"],
"dd-tbeds-options": self._default["tbeds"],
"ri-duts-value": self._default["dut"],
"ri-ttypes-value": self._default["ttype"],
"ri-cadences-value": self._default["cadence"],
"dd-tbeds-value": self._default["tbed"],
"al-job-children": html.A(
self._default["job"],
href=f"{C.URL_JENKINS}{self._default['job']}",
target="_blank"
)
}
# 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
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=[navbar_trending((False, False, True, False))]
),
dbc.Spinner(
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()
]
),
dbc.Offcanvas(
class_name="w-75",
id="offcanvas-documentation",
title="Documentation",
placement="end",
is_open=False,
children=html.Iframe(
src=C.URL_DOC_TRENDING,
width="100%",
height="100%"
)
)
]
)
else:
return html.Div(
id="div-main-error",
children=[
dbc.Alert(
[
"An Error Occured",
],
color="danger"
)
]
)
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([
html.Div(
children=self._add_ctrl_panel(),
className="sticky-top"
)
])
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.Spinner(
children=[
dbc.Row(
id="plotting-area",
class_name="g-0 p-0",
children=[
C.PLACEHOLDER
]
)
]
)
],
width=9
)
def _add_ctrl_panel(self) -> dbc.Row:
"""Add control panel.
:returns: Control panel.
:rtype: dbc.Row
"""
return [
dbc.Row(
class_name="g-0 p-1",
children=[
dbc.InputGroup(
[
dbc.InputGroupText(
children=show_tooltip(
self._tooltips,
"help-dut",
"DUT"
)
),
dbc.RadioItems(
id="ri-duts",
inline=True,
value=self._default["dut"],
options=self._default["duts"],
class_name="form-control"
)
],
size="sm"
)
]
),
dbc.Row(
class_name="g-0 p-1",
children=[
dbc.InputGroup(
[
dbc.InputGroupText(
children=show_tooltip(
self._tooltips,
"help-ttype",
"Test Type"
)
),
dbc.RadioItems(
id="ri-ttypes",
inline=True,
value=self._default["ttype"],
options=self._default["ttypes"],
class_name="form-control"
)
],
size="sm"
)
]
),
dbc.Row(
class_name="g-0 p-1",
children=[
dbc.InputGroup(
[
dbc.InputGroupText(
children=show_tooltip(
self._tooltips,
"help-cadence",
"Cadence"
)
),
dbc.RadioItems(
id="ri-cadences",
inline=True,
value=self._default["cadence"],
options=self._default["cadences"],
class_name="form-control"
)
],
size="sm"
)
]
),
dbc.Row(
class_name="g-0 p-1",
children=[
dbc.InputGroup(
[
dbc.InputGroupText(
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"]
)
],
size="sm"
)
]
),
dbc.Row(
class_name="g-0 p-1",
children=[
dbc.Alert(
id="al-job",
color="info",
children=self._default["job"]
)
]
)
]
def _get_plotting_area(
self,
job: str,
url: str
) -> list:
"""Generate the plotting area with all its content.
:param job: The job which data will be displayed.
:param url: URL to be displayed in the modal window.
:type job: str
:type url: str
:returns: List of rows with elements to be displayed in the plotting
area.
:rtype: list
"""
figs = graph_statistics(self._data, job, self._graph_layout)
if not figs[0]:
return C.PLACEHOLDER
return [
dbc.Row(
id="row-graph-passed",
class_name="g-0 p-1",
children=[
dcc.Graph(
id="graph-passed",
figure=figs[0]
)
]
),
dbc.Row(
id="row-graph-duration",
class_name="g-0 p-1",
children=[
dcc.Graph(
id="graph-duration",
figure=figs[1]
)
]
),
dbc.Row(
[
dbc.Col([html.Div(
[
dbc.Button(
id="plot-btn-url",
children="Show URL",
class_name="me-1",
color="info",
style={
"text-transform": "none",
"padding": "0rem 1rem"
}
),
dbc.Modal(
[
dbc.ModalHeader(dbc.ModalTitle("URL")),
dbc.ModalBody(url)
],
id="plot-mod-url",
size="xl",
is_open=False,
scrollable=True
),
dbc.Button(
id="plot-btn-download",
children="Download Data",
class_name="me-1",
color="info",
style={
"text-transform": "none",
"padding": "0rem 1rem"
}
),
dcc.Download(id="download-stats-data")
],
className=\
"d-grid gap-0 d-md-flex justify-content-md-end"
)])
],
class_name="g-0 p-0"
)
]
def callbacks(self, app):
"""Callbacks for the whole application.
:param app: The application.
:type app: Flask
"""
@app.callback(
Output("control-panel", "data"), # Store
Output("plotting-area", "children"),
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 = ControlPanel(self._cp_default, cp_data)
# 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 = ControlPanel(
{
"ri-ttypes-options": job_params["ttypes"],
"ri-cadences-options": job_params["cadences"],
"dd-tbeds-options": job_params["tbeds"],
"ri-duts-value": job_params["dut"],
"ri-ttypes-value": job_params["ttype"],
"ri-cadences-value": job_params["cadence"],
"dd-tbeds-value": job_params["tbed"],
"al-job-children": html.A(
self._default["job"],
href=(
f"{C.URL_JENKINS}"
f"{self._default['job']}"
),
target="_blank"
)
},
None
)
else:
ctrl_panel = ControlPanel(self._cp_default, cp_data)
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": html.A(
job,
href=f"{C.URL_JENKINS}{job}",
target="_blank"
)
}
)
plotting_area = self._get_plotting_area(
job,
gen_new_url(parsed_url, {"job": job})
)
ret_val = [
ctrl_panel.panel,
plotting_area
]
ret_val.extend(ctrl_panel.values)
return ret_val
@app.callback(
Output("plot-mod-url", "is_open"),
[Input("plot-btn-url", "n_clicks")],
[State("plot-mod-url", "is_open")],
)
def toggle_plot_mod_url(n, is_open):
"""Toggle the modal window with url.
"""
if n:
return not is_open
return is_open
@app.callback(
Output("download-stats-data", "data"),
State("control-panel", "data"), # Store
Input("plot-btn-download", "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 = ControlPanel(self._cp_default, cp_data)
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:
list_group_items = list()
for itm in lst_graph_data:
lst_itm = itm.split(": ")
if lst_itm[0] == "csit-ref":
list_group_item = dbc.ListGroupItem([
dbc.Badge(lst_itm[0]),
html.A(
lst_itm[1],
href=f"{C.URL_JENKINS}{lst_itm[1]}",
target="_blank"
)
])
else:
list_group_item = dbc.ListGroupItem([
dbc.Badge(lst_itm[0]),
lst_itm[1]
])
list_group_items.append(list_group_item)
metadata = [
dbc.Card(
class_name="gy-2 p-0",
children=[
dbc.CardHeader([
dcc.Clipboard(
target_id="metadata",
title="Copy",
style={"display": "inline-block"}
),
title
]),
dbc.CardBody(
dbc.ListGroup(list_group_items, flush=True),
id="metadata",
class_name="p-0"
)
]
)
]
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
@app.callback(
Output("offcanvas-documentation", "is_open"),
Input("btn-documentation", "n_clicks"),
State("offcanvas-documentation", "is_open")
)
def toggle_offcanvas_documentation(n_clicks, is_open):
if n_clicks:
return not is_open
return is_open
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