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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, ALL
from dash import Input, Output, State
from dash.exceptions import PreventUpdate
from yaml import load, FullLoader, YAMLError
from ast import literal_eval
from copy import deepcopy
from ..utils.constants import Constants as C
from ..utils.control_panel import ControlPanel
from ..utils.trigger import Trigger
from ..utils.telemetry_data import TelemetryData
from ..utils.utils import show_tooltip, label, sync_checklists, gen_new_url, \
generate_options, get_list_group_items, navbar_trending, get_topo_arch, \
show_trending_graph_data
from ..utils.url_processing import url_decode
from .graphs import graph_trending, select_trending_data, graph_tm_trending
# Control panel partameters and their default values.
CP_PARAMS = {
"dd-dut-val": str(),
"dd-phy-opt": list(),
"dd-phy-dis": True,
"dd-phy-val": str(),
"dd-area-opt": list(),
"dd-area-dis": True,
"dd-area-val": str(),
"dd-test-opt": list(),
"dd-test-dis": True,
"dd-test-val": str(),
"cl-core-opt": list(),
"cl-core-val": list(),
"cl-core-all-val": list(),
"cl-core-all-opt": C.CL_ALL_DISABLED,
"cl-frmsize-opt": list(),
"cl-frmsize-val": list(),
"cl-frmsize-all-val": list(),
"cl-frmsize-all-opt": C.CL_ALL_DISABLED,
"cl-tsttype-opt": list(),
"cl-tsttype-val": list(),
"cl-tsttype-all-val": list(),
"cl-tsttype-all-opt": C.CL_ALL_DISABLED,
"btn-add-dis": True,
"cl-normalize-val": list(),
"cl-show-trials": list()
}
class Layout:
"""The layout of the dash app and the callbacks.
"""
def __init__(self,
app: Flask,
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_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_trending: pandas.DataFrame
:type html_layout_file: str
:type graph_layout_file: str
:type tooltip_file: str
"""
# Inputs
self._app = app
self._data = data_trending
self._html_layout_file = html_layout_file
self._graph_layout_file = graph_layout_file
self._tooltip_file = tooltip_file
# Get structure of tests:
tbs = dict()
cols = ["job", "test_id", "test_type", "tg_type"]
for _, row in self._data[cols].drop_duplicates().iterrows():
lst_job = row["job"].split("-")
dut = lst_job[1]
tbed = get_topo_arch(lst_job)
lst_test = row["test_id"].split(".")
if dut == "dpdk":
area = "dpdk"
else:
area = ".".join(lst_test[3:-2])
suite = lst_test[-2].replace("2n1l-", "").replace("1n1l-", "").\
replace("2n-", "")
test = lst_test[-1]
nic = suite.split("-")[0]
for drv in C.DRIVERS:
if drv in test:
if drv == "af-xdp":
driver = "af_xdp"
else:
driver = drv
test = test.replace(f"{drv}-", "")
break
else:
driver = "dpdk"
infra = "-".join((tbed, nic, driver))
lst_test = test.split("-")
framesize = lst_test[0]
core = lst_test[1] if lst_test[1] else "8C"
test = "-".join(lst_test[2: -1])
if tbs.get(dut, None) is None:
tbs[dut] = dict()
if tbs[dut].get(area, None) is None:
tbs[dut][area] = dict()
if tbs[dut][area].get(test, None) is None:
tbs[dut][area][test] = dict()
if tbs[dut][area][test].get(infra, None) is None:
tbs[dut][area][test][infra] = {
"core": list(),
"frame-size": list(),
"test-type": list()
}
tst_params = tbs[dut][area][test][infra]
if core.upper() not in tst_params["core"]:
tst_params["core"].append(core.upper())
if framesize.upper() not in tst_params["frame-size"]:
tst_params["frame-size"].append(framesize.upper())
if row["test_type"] == "ndrpdr":
if "NDR" not in tst_params["test-type"]:
tst_params["test-type"].extend(("NDR", "PDR"))
elif row["test_type"] == "hoststack":
if row["tg_type"] in ("iperf", "vpp"):
if "BPS" not in tst_params["test-type"]:
tst_params["test-type"].append("BPS")
elif row["tg_type"] == "ab":
if "CPS" not in tst_params["test-type"]:
tst_params["test-type"].extend(("CPS", "RPS"))
else: # MRR, SOAK
if row["test_type"].upper() not in tst_params["test-type"]:
tst_params["test-type"].append(row["test_type"].upper())
self._spec_tbs = tbs
# 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}"
)
# Callbacks:
if self._app is not None and hasattr(self, "callbacks"):
self.callbacks(self._app)
@property
def html_layout(self):
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 and self._spec_tbs:
return html.Div(
id="div-main",
className="small",
children=[
dcc.Store(id="store"),
dcc.Location(id="url", refresh=False),
dbc.Row(
id="row-navbar",
class_name="g-0",
children=[navbar_trending((True, False, False, False))]
),
dbc.Row(
id="row-main",
class_name="g-0",
children=[
self._add_ctrl_col(),
self._add_plotting_col()
]
),
dbc.Spinner(
dbc.Offcanvas(
class_name="w-50",
id="offcanvas-metadata",
title="Detailed Information",
placement="end",
is_open=False,
children=[
dbc.Row(id="metadata-tput-lat"),
dbc.Row(id="metadata-hdrh-graph")
]
),
delay_show=C.SPINNER_DELAY
),
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(
dbc.Alert("An Error Occured", color="danger"),
id="div-main-error"
)
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(self._add_ctrl_panel(), className="sticky-top"))
def _add_ctrl_panel(self) -> list:
"""Add control panel.
:returns: Control panel.
:rtype: list
"""
test_selection = [
dbc.Row(
dbc.InputGroup(
[
dbc.InputGroupText(
show_tooltip(self._tooltips, "help-dut", "DUT")
),
dbc.Select(
id={"type": "ctrl-dd", "index": "dut"},
placeholder="Select a Device under Test...",
options=sorted(
[
{"label": k, "value": k} \
for k in self._spec_tbs.keys()
],
key=lambda d: d["label"]
)
)
],
size="sm"
),
class_name="g-0 p-1"
),
dbc.Row(
dbc.InputGroup(
[
dbc.InputGroupText(
show_tooltip(self._tooltips, "help-area", "Area")
),
dbc.Select(
id={"type": "ctrl-dd", "index": "area"},
placeholder="Select an Area..."
)
],
size="sm"
),
class_name="g-0 p-1"
),
dbc.Row(
dbc.InputGroup(
[
dbc.InputGroupText(
show_tooltip(self._tooltips, "help-test", "Test")
),
dbc.Select(
id={"type": "ctrl-dd", "index": "test"},
placeholder="Select a Test..."
)
],
size="sm"
),
class_name="g-0 p-1"
),
dbc.Row(
dbc.InputGroup(
[
dbc.InputGroupText(
show_tooltip(self._tooltips, "help-infra", "Infra")
),
dbc.Select(
id={"type": "ctrl-dd", "index": "phy"},
placeholder="Select a Physical Test Bed Topology..."
)
],
size="sm"
),
class_name="g-0 p-1"
),
dbc.Row(
dbc.InputGroup(
[
dbc.InputGroupText(show_tooltip(
self._tooltips,
"help-framesize",
"Frame Size"
)),
dbc.Col(
dbc.Checklist(
id={"type": "ctrl-cl", "index": "frmsize-all"},
options=C.CL_ALL_DISABLED,
inline=True,
class_name="ms-2"
),
width=2
),
dbc.Col(
dbc.Checklist(
id={"type": "ctrl-cl", "index": "frmsize"},
inline=True
)
)
],
style={"align-items": "center"},
size="sm"
),
class_name="g-0 p-1"
),
dbc.Row(
dbc.InputGroup(
[
dbc.InputGroupText(show_tooltip(
self._tooltips,
"help-cores",
"Number of Cores"
)),
dbc.Col(
dbc.Checklist(
id={"type": "ctrl-cl", "index": "core-all"},
options=C.CL_ALL_DISABLED,
inline=True,
class_name="ms-2"
),
width=2
),
dbc.Col(
dbc.Checklist(
id={"type": "ctrl-cl", "index": "core"},
inline=True
)
)
],
style={"align-items": "center"},
size="sm"
),
class_name="g-0 p-1"
),
dbc.Row(
dbc.InputGroup(
[
dbc.InputGroupText(show_tooltip(
self._tooltips,
"help-ttype",
"Test Type"
)),
dbc.Col(
dbc.Checklist(
id={"type": "ctrl-cl", "index": "tsttype-all"},
options=C.CL_ALL_DISABLED,
inline=True,
class_name="ms-2"
),
width=2
),
dbc.Col(
dbc.Checklist(
id={"type": "ctrl-cl", "index": "tsttype"},
inline=True
)
)
],
style={"align-items": "center"},
size="sm"
),
class_name="g-0 p-1"
),
dbc.Row(
dbc.Button(
id={"type": "ctrl-btn", "index": "add-test"},
children="Add Selected",
color="info",
class_name="p-1"
),
class_name="g-0 p-1"
)
]
processing = [
dbc.Row(
class_name="g-0 p-1",
children=[
dbc.Checklist(
id="normalize",
options=[{
"value": "normalize",
"label": "Normalize to 2GHz CPU frequency"
}],
value=[],
inline=True,
class_name="ms-2"
),
dbc.Checklist(
id="show-trials",
options=[{
"value": "trials",
"label": "Show MRR Trials"
}],
value=[],
inline=True,
class_name="ms-2"
)
]
)
]
test_list = [
dbc.Row(
dbc.ListGroup(
class_name="overflow-auto p-0",
id="lg-selected",
children=[],
style={"max-height": "20em"},
flush=True
),
class_name="g-0 p-1"
),
dbc.Row(
dbc.ButtonGroup(
children=[
dbc.Button(
"Remove Selected",
id={"type": "ctrl-btn", "index": "rm-test"},
class_name="w-100 p-1",
color="info",
disabled=False
),
dbc.Button(
"Remove All",
id={"type": "ctrl-btn", "index": "rm-test-all"},
class_name="w-100 p-1",
color="info",
disabled=False
)
]
),
class_name="g-0 p-1"
),
dbc.Stack(
[
dbc.Button(
"Add Telemetry Panel",
id={"type": "telemetry-btn", "index": "open"},
color="info",
class_name="p-1"
),
dbc.Button(
"Show URL",
id="plot-btn-url",
color="info",
class_name="p-1"
),
dbc.Modal(
[
dbc.ModalHeader(dbc.ModalTitle("URL")),
dbc.ModalBody(id="mod-url")
],
id="plot-mod-url",
size="xl",
is_open=False,
scrollable=True
)
],
class_name="g-0 p-1",
gap=2
)
]
return [
dbc.Row(
dbc.Card(
[
dbc.CardHeader(
html.H5("Test Selection")
),
dbc.CardBody(
children=test_selection,
class_name="g-0 p-0"
)
],
color="secondary",
outline=True
),
class_name="g-0 p-1"
),
dbc.Row(
dbc.Card(
[
dbc.CardHeader(
html.H5("Data Manipulations")
),
dbc.CardBody(
children=processing,
class_name="g-0 p-0"
)
],
color="secondary",
outline=True
),
class_name="g-0 p-1"
),
dbc.Row(
dbc.Card(
[
dbc.CardHeader(
html.H5("Selected Tests")
),
dbc.CardBody(
children=test_list,
class_name="g-0 p-0"
)
],
color="secondary",
outline=True
),
id = "row-selected-tests",
class_name="g-0 p-1",
style=C.STYLE_DISABLED,
)
]
def _add_plotting_col(self) -> dbc.Col:
"""Add column with plots. It is placed on the right side.
:returns: Column with plots.
:rtype: dbc.Col
"""
return dbc.Col(
id="col-plotting-area",
children=[
dbc.Row(
id="plotting-area-trending",
class_name="g-0 p-0",
children=C.PLACEHOLDER
),
dbc.Row(
id="plotting-area-telemetry",
class_name="g-0 p-0",
children=C.PLACEHOLDER
)
],
width=9,
style=C.STYLE_DISABLED,
)
@staticmethod
def _plotting_area_trending(graphs: list) -> dbc.Col:
"""Generate the plotting area with all its content.
:param graphs: A list of graphs to be displayed in the trending page.
:type graphs: list
:returns: A collumn with trending graphs (tput and latency) in tabs.
:rtype: dbc.Col
"""
if not graphs:
return C.PLACEHOLDER
if not graphs[0]:
return C.PLACEHOLDER
tab_items = [
dbc.Tab(
children=dcc.Graph(
id={"type": "graph", "index": "tput"},
figure=graphs[0]
),
label="Throughput",
tab_id="tab-tput"
)
]
if graphs[1]:
tab_items.append(
dbc.Tab(
children=dcc.Graph(
id={"type": "graph", "index": "bandwidth"},
figure=graphs[1]
),
label="Bandwidth",
tab_id="tab-bandwidth"
)
)
if graphs[2]:
tab_items.append(
dbc.Tab(
children=dcc.Graph(
id={"type": "graph", "index": "lat"},
figure=graphs[2]
),
label="Latency",
tab_id="tab-lat"
)
)
trending = [
dbc.Row(
dbc.Tabs(
children=tab_items,
id="tabs",
active_tab="tab-tput",
),
class_name="g-0 p-0"
),
dbc.Row(
html.Div(
[
dbc.Button(
"Download Data",
id="plot-btn-download",
class_name="me-1",
color="info",
style={"padding": "0rem 1rem"}
),
dcc.Download(id="download-trending-data")
],
className="d-grid gap-0 d-md-flex justify-content-md-end"
),
class_name="g-0 p-0"
)
]
return dbc.Col(
children=[
dbc.Accordion(
dbc.AccordionItem(trending, title="Trending"),
class_name="g-0 p-1",
start_collapsed=False,
always_open=True,
active_item=["item-0", ]
),
dbc.Modal(
[
dbc.ModalHeader(
dbc.ModalTitle("Select a Metric"),
close_button=False
),
dbc.Spinner(
dbc.ModalBody(Layout._get_telemetry_step_1()),
delay_show=2 * C.SPINNER_DELAY
),
dbc.ModalFooter([
dbc.Button(
"Select",
id={"type": "telemetry-btn", "index": "select"},
color="success",
disabled=True
),
dbc.Button(
"Cancel",
id={"type": "telemetry-btn", "index": "cancel"},
color="info",
disabled=False
),
dbc.Button(
"Remove All",
id={"type": "telemetry-btn", "index": "rm-all"},
color="danger",
disabled=False
)
])
],
id={"type": "plot-mod-telemetry", "index": 0},
size="lg",
is_open=False,
scrollable=False,
backdrop="static",
keyboard=False
),
dbc.Modal(
[
dbc.ModalHeader(
dbc.ModalTitle("Select Labels"),
close_button=False
),
dbc.Spinner(
dbc.ModalBody(Layout._get_telemetry_step_2()),
delay_show=2 * C.SPINNER_DELAY
),
dbc.ModalFooter([
dbc.Button(
"Back",
id={"type": "telemetry-btn", "index": "back"},
color="info",
disabled=False
),
dbc.Button(
"Add Telemetry Panel",
id={"type": "telemetry-btn", "index": "add"},
color="success",
disabled=True
),
dbc.Button(
"Cancel",
id={"type": "telemetry-btn", "index": "cancel"},
color="info",
disabled=False
)
])
],
id={"type": "plot-mod-telemetry", "index": 1},
size="xl",
is_open=False,
scrollable=False,
backdrop="static",
keyboard=False
)
]
)
@staticmethod
def _plotting_area_telemetry(graphs: list) -> dbc.Col:
"""Generate the plotting area with telemetry.
:param graphs: A list of graphs to be displayed in the telemetry page.
:type graphs: list
:returns: A collumn with telemetry trending graphs.
:rtype: dbc.Col
"""
if not graphs:
return C.PLACEHOLDER
def _plural(iterative):
return "s" if len(iterative) > 1 else str()
panels = list()
for idx, graph_set in enumerate(graphs):
acc_items = list()
for graph in graph_set[0]:
graph_name = ", ".join(graph[1])
acc_items.append(
dbc.AccordionItem(
dcc.Graph(
id={"type": "graph-telemetry", "index": graph_name},
figure=graph[0]
),
title=(f"Test{_plural(graph[1])}: {graph_name}"),
class_name="g-0 p-0"
)
)
panels.append(
dbc.AccordionItem(
[
dbc.Row(
dbc.Accordion(
children=acc_items,
class_name="g-0 p-0",
start_collapsed=True,
always_open=True,
flush=True
),
class_name="g-0 p-0"
),
dbc.Row(
html.Div(
[
dbc.Button(
"Remove",
id={
"type": "tm-btn-remove",
"index": idx
},
class_name="me-1",
color="danger",
style={"padding": "0rem 1rem"}
),
dbc.Button(
"Download Data",
id={
"type": "tm-btn-download",
"index": idx
},
class_name="me-1",
color="info",
style={"padding": "0rem 1rem"}
)
],
className=\
"d-grid gap-0 d-md-flex justify-content-md-end"
),
class_name="g-0 p-0"
)
],
class_name="g-0 p-0",
title=(
f"Metric{_plural(graph_set[1])}: ",
", ".join(graph_set[1])
)
)
)
return dbc.Col(
dbc.Accordion(
panels,
class_name="g-0 p-1",
start_collapsed=True,
always_open=True
)
)
@staticmethod
def _get_telemetry_step_1() -> list:
"""Return the content of the modal window used in the step 1 of metrics
selection.
:returns: A list of dbc rows with 'input' and 'search output'.
:rtype: list
"""
return [
dbc.Row(
class_name="g-0 p-1",
children=[
dbc.Input(
id={"type": "telemetry-search-in", "index": 0},
placeholder="Start typing a metric name...",
type="text"
)
]
),
dbc.Row(
class_name="g-0 p-1",
children=[
dbc.ListGroup(
class_name="overflow-auto p-0",
id={"type": "telemetry-search-out", "index": 0},
children=[],
style={"max-height": "14em"},
flush=True
)
]
)
]
@staticmethod
def _get_telemetry_step_2() -> list:
"""Return the content of the modal window used in the step 2 of metrics
selection.
:returns: A list of dbc rows with 'container with dynamic dropdowns' and
'search output'.
:rtype: list
"""
return [
dbc.Row(
"Add content here.",
id={"type": "tm-container", "index": 0},
class_name="g-0 p-1"
),
dbc.Row(
[
dbc.Col(
dbc.Checkbox(
id={"type": "cb-all-in-one", "index": 0},
label="All Metrics in one Graph"
),
width=6
),
dbc.Col(
dbc.Checkbox(
id={"type": "cb-ignore-host", "index": 0},
label="Ignore Host"
),
width=6
)
],
class_name="g-0 p-2"
),
dbc.Row(
dbc.Textarea(
id={"type": "tm-list-metrics", "index": 0},
rows=20,
size="sm",
wrap="off",
readonly=True
),
class_name="g-0 p-1"
)
]
def callbacks(self, app):
"""Callbacks for the whole application.
:param app: The application.
:type app: Flask
"""
@app.callback(
Output("store", "data"),
Output("plotting-area-trending", "children"),
Output("plotting-area-telemetry", "children"),
Output("col-plotting-area", "style"),
Output("row-selected-tests", "style"),
Output("lg-selected", "children"),
Output({"type": "telemetry-search-out", "index": ALL}, "children"),
Output({"type": "plot-mod-telemetry", "index": ALL}, "is_open"),
Output({"type": "telemetry-btn", "index": ALL}, "disabled"),
Output({"type": "tm-container", "index": ALL}, "children"),
Output({"type": "tm-list-metrics", "index": ALL}, "value"),
Output({"type": "ctrl-dd", "index": "dut"}, "value"),
Output({"type": "ctrl-dd", "index": "phy"}, "options"),
Output({"type": "ctrl-dd", "index": "phy"}, "disabled"),
Output({"type": "ctrl-dd", "index": "phy"}, "value"),
Output({"type": "ctrl-dd", "index": "area"}, "options"),
Output({"type": "ctrl-dd", "index": "area"}, "disabled"),
Output({"type": "ctrl-dd", "index": "area"}, "value"),
Output({"type": "ctrl-dd", "index": "test"}, "options"),
Output({"type": "ctrl-dd", "index": "test"}, "disabled"),
Output({"type": "ctrl-dd", "index": "test"}, "value"),
Output({"type": "ctrl-cl", "index": "core"}, "options"),
Output({"type": "ctrl-cl", "index": "core"}, "value"),
Output({"type": "ctrl-cl", "index": "core-all"}, "value"),
Output({"type": "ctrl-cl", "index": "core-all"}, "options"),
Output({"type": "ctrl-cl", "index": "frmsize"}, "options"),
Output({"type": "ctrl-cl", "index": "frmsize"}, "value"),
Output({"type": "ctrl-cl", "index": "frmsize-all"}, "value"),
Output({"type": "ctrl-cl", "index": "frmsize-all"}, "options"),
Output({"type": "ctrl-cl", "index": "tsttype"}, "options"),
Output({"type": "ctrl-cl", "index": "tsttype"}, "value"),
Output({"type": "ctrl-cl", "index": "tsttype-all"}, "value"),
Output({"type": "ctrl-cl", "index": "tsttype-all"}, "options"),
Output({"type": "ctrl-btn", "index": "add-test"}, "disabled"),
Output("normalize", "value"),
Output("show-trials", "value"),
State("store", "data"),
State({"type": "sel-cl", "index": ALL}, "value"),
State({"type": "cb-all-in-one", "index": ALL}, "value"),
State({"type": "cb-ignore-host", "index": ALL}, "value"),
State({"type": "telemetry-search-out", "index": ALL}, "children"),
State({"type": "plot-mod-telemetry", "index": ALL}, "is_open"),
State({"type": "telemetry-btn", "index": ALL}, "disabled"),
State({"type": "tm-container", "index": ALL}, "children"),
State({"type": "tm-list-metrics", "index": ALL}, "value"),
State({"type": "tele-cl", "index": ALL}, "value"),
Input("url", "href"),
Input({"type": "tm-dd", "index": ALL}, "value"),
Input("normalize", "value"),
Input("show-trials", "value"),
Input({"type": "telemetry-search-in", "index": ALL}, "value"),
Input({"type": "telemetry-btn", "index": ALL}, "n_clicks"),
Input({"type": "tm-btn-remove", "index": ALL}, "n_clicks"),
Input({"type": "ctrl-dd", "index": ALL}, "value"),
Input({"type": "ctrl-cl", "index": ALL}, "value"),
Input({"type": "ctrl-btn", "index": ALL}, "n_clicks"),
prevent_initial_call=True
)
def _update_application(
store: dict,
lst_sel: list,
all_in_one: list,
ignore_host: list,
search_out: list,
is_open: list,
tm_btns_disabled: list,
tm_dd: list,
list_metrics: list,
cl_metrics: list,
href: str,
tm_dd_in: list,
*_
) -> tuple:
"""Update the application when the event is detected.
"""
if store is None:
store = {
"control-panel": dict(),
"selected-tests": list(),
"trending-graphs": None,
"telemetry-data": dict(),
"selected-metrics": dict(),
"telemetry-panels": list(),
"telemetry-all-in-one": list(),
"telemetry-ignore-host": list(),
"telemetry-graphs": list(),
"url": str()
}
ctrl_panel = ControlPanel(
CP_PARAMS,
store.get("control-panel", dict())
)
store_sel = store["selected-tests"]
tm_data = store["telemetry-data"]
tm_user = store["selected-metrics"]
tm_panels = store["telemetry-panels"]
tm_all_in_one = store["telemetry-all-in-one"]
tm_ignore_host = store["telemetry-ignore-host"]
plotting_area_telemetry = no_update
on_draw = [False, False] # 0 --> trending, 1 --> telemetry
# Parse the url:
parsed_url = url_decode(href)
if parsed_url:
url_params = parsed_url["params"]
else:
url_params = None
if tm_user is None:
# Telemetry user data
# The data provided by user or result of user action
tm_user = {
# List of unique metrics:
"unique_metrics": list(),
# List of metrics selected by user:
"selected_metrics": list(),
# Labels from metrics selected by user (key: label name,
# value: list of all possible values):
"unique_labels": dict(),
# Labels selected by the user (subset of 'unique_labels'):
"selected_labels": dict(),
# All unique metrics with labels (output from the step 1)
# converted from pandas dataframe to dictionary.
"unique_metrics_with_labels": dict(),
# Metrics with labels selected by the user using dropdowns.
"selected_metrics_with_labels": dict()
}
tm = TelemetryData(store_sel) if store_sel else TelemetryData()
trigger = Trigger(callback_context.triggered)
if trigger.type == "url" and url_params:
telemetry = None
normalize = list()
show_trials = list()
try:
store_sel = literal_eval(url_params["store_sel"][0])
normalize = literal_eval(url_params["norm"][0])
show_trials = literal_eval(url_params["show-trials"][0])
telemetry = literal_eval(url_params["telemetry"][0])
url_p = url_params.get("all-in-one", ["[[None]]"])
tm_all_in_one = literal_eval(url_p[0])
url_p = url_params.get("ignore-host", ["[[None]]"])
tm_ignore_host = literal_eval(url_p[0])
if not isinstance(telemetry, list):
telemetry = [telemetry, ]
except (KeyError, IndexError, AttributeError, ValueError):
pass
if store_sel:
last_test = store_sel[-1]
test = self._spec_tbs[last_test["dut"]]\
[last_test["area"]][last_test["test"]][last_test["phy"]]
ctrl_panel.set({
"dd-dut-val": last_test["dut"],
"dd-area-val": last_test["area"],
"dd-area-opt": [
{"label": label(v), "value": v} for v in sorted(
self._spec_tbs[last_test["dut"]].keys())
],
"dd-area-dis": False,
"dd-test-val": last_test["test"],
"dd-test-opt": generate_options(
self._spec_tbs[last_test["dut"]]\
[last_test["area"]].keys()
),
"dd-test-dis": False,
"dd-phy-val": last_test["phy"],
"dd-phy-opt": generate_options(
self._spec_tbs[last_test["dut"]][last_test["area"]]\
[last_test["test"]].keys()
),
"dd-phy-dis": False,
"cl-core-opt": generate_options(test["core"]),
"cl-core-val": [last_test["core"].upper(), ],
"cl-core-all-val": list(),
"cl-core-all-opt": C.CL_ALL_ENABLED,
"cl-frmsize-opt": generate_options(test["frame-size"]),
"cl-frmsize-val": [last_test["framesize"].upper(), ],
"cl-frmsize-all-val": list(),
"cl-frmsize-all-opt": C.CL_ALL_ENABLED,
"cl-tsttype-opt": generate_options(test["test-type"]),
"cl-tsttype-val": [last_test["testtype"].upper(), ],
"cl-tsttype-all-val": list(),
"cl-tsttype-all-opt": C.CL_ALL_ENABLED,
"cl-normalize-val": normalize,
"cl-show-trials": show_trials,
"btn-add-dis": False
})
store["trending-graphs"] = None
store["telemetry-graphs"] = list()
on_draw[0] = True
if telemetry:
tm = TelemetryData(store_sel)
tm.from_dataframe(self._data)
tm_data = tm.to_json()
tm.from_json(tm_data)
tm_panels = telemetry
on_draw[1] = True
elif trigger.type == "normalize":
ctrl_panel.set({"cl-normalize-val": trigger.value})
store["trending-graphs"] = None
on_draw[0] = True
elif trigger.type == "show-trials":
ctrl_panel.set({"cl-show-trials": trigger.value})
store["trending-graphs"] = None
on_draw[0] = True
elif trigger.type == "ctrl-dd":
if trigger.idx == "dut":
try:
dut = self._spec_tbs[trigger.value]
options = [{"label": label(v), "value": v} \
for v in sorted(dut.keys())]
disabled = False
except KeyError:
options = list()
disabled = True
ctrl_panel.set({
"dd-dut-val": trigger.value,
"dd-area-val": str(),
"dd-area-opt": options,
"dd-area-dis": disabled,
"dd-test-val": str(),
"dd-test-opt": list(),
"dd-test-dis": True,
"dd-phy-val": str(),
"dd-phy-opt": list(),
"dd-phy-dis": True,
"cl-core-opt": list(),
"cl-core-val": list(),
"cl-core-all-val": list(),
"cl-core-all-opt": C.CL_ALL_DISABLED,
"cl-frmsize-opt": list(),
"cl-frmsize-val": list(),
"cl-frmsize-all-val": list(),
"cl-frmsize-all-opt": C.CL_ALL_DISABLED,
"cl-tsttype-opt": list(),
"cl-tsttype-val": list(),
"cl-tsttype-all-val": list(),
"cl-tsttype-all-opt": C.CL_ALL_DISABLED,
"btn-add-dis": True
})
if trigger.idx == "area":
try:
dut = ctrl_panel.get("dd-dut-val")
area = self._spec_tbs[dut][trigger.value]
options = generate_options(area.keys())
disabled = False
except KeyError:
options = list()
disabled = True
ctrl_panel.set({
"dd-area-val": trigger.value,
"dd-test-val": str(),
"dd-test-opt": options,
"dd-test-dis": disabled,
"dd-phy-val": str(),
"dd-phy-opt": list(),
"dd-phy-dis": True,
"cl-core-opt": list(),
"cl-core-val": list(),
"cl-core-all-val": list(),
"cl-core-all-opt": C.CL_ALL_DISABLED,
"cl-frmsize-opt": list(),
"cl-frmsize-val": list(),
"cl-frmsize-all-val": list(),
"cl-frmsize-all-opt": C.CL_ALL_DISABLED,
"cl-tsttype-opt": list(),
"cl-tsttype-val": list(),
"cl-tsttype-all-val": list(),
"cl-tsttype-all-opt": C.CL_ALL_DISABLED,
"btn-add-dis": True
})
if trigger.idx == "test":
try:
dut = ctrl_panel.get("dd-dut-val")
area = ctrl_panel.get("dd-area-val")
test = self._spec_tbs[dut][area][trigger.value]
options = generate_options(test.keys())
disabled = False
except KeyError:
options = list()
disabled = True
ctrl_panel.set({
"dd-test-val": trigger.value,
"dd-phy-val": str(),
"dd-phy-opt": options,
"dd-phy-dis": disabled,
"cl-core-opt": list(),
"cl-core-val": list(),
"cl-core-all-val": list(),
"cl-core-all-opt": C.CL_ALL_DISABLED,
"cl-frmsize-opt": list(),
"cl-frmsize-val": list(),
"cl-frmsize-all-val": list(),
"cl-frmsize-all-opt": C.CL_ALL_DISABLED,
"cl-tsttype-opt": list(),
"cl-tsttype-val": list(),
"cl-tsttype-all-val": list(),
"cl-tsttype-all-opt": C.CL_ALL_DISABLED,
"btn-add-dis": True
})
if trigger.idx == "phy":
dut = ctrl_panel.get("dd-dut-val")
area = ctrl_panel.get("dd-area-val")
test = ctrl_panel.get("dd-test-val")
if all((dut, area, test, trigger.value, )):
phy = self._spec_tbs[dut][area][test][trigger.value]
ctrl_panel.set({
"dd-phy-val": trigger.value,
"cl-core-opt": generate_options(phy["core"]),
"cl-core-val": list(),
"cl-core-all-val": list(),
"cl-core-all-opt": C.CL_ALL_ENABLED,
"cl-frmsize-opt": \
generate_options(phy["frame-size"]),
"cl-frmsize-val": list(),
"cl-frmsize-all-val": list(),
"cl-frmsize-all-opt": C.CL_ALL_ENABLED,
"cl-tsttype-opt": \
generate_options(phy["test-type"]),
"cl-tsttype-val": list(),
"cl-tsttype-all-val": list(),
"cl-tsttype-all-opt": C.CL_ALL_ENABLED,
"btn-add-dis": True
})
elif trigger.type == "ctrl-cl":
param = trigger.idx.split("-")[0]
if "-all" in trigger.idx:
c_sel, c_all, c_id = list(), trigger.value, "all"
else:
c_sel, c_all, c_id = trigger.value, list(), str()
val_sel, val_all = sync_checklists(
options=ctrl_panel.get(f"cl-{param}-opt"),
sel=c_sel,
all=c_all,
id=c_id
)
ctrl_panel.set({
f"cl-{param}-val": val_sel,
f"cl-{param}-all-val": val_all,
})
if all((ctrl_panel.get("cl-core-val"),
ctrl_panel.get("cl-frmsize-val"),
ctrl_panel.get("cl-tsttype-val"), )):
ctrl_panel.set({"btn-add-dis": False})
else:
ctrl_panel.set({"btn-add-dis": True})
elif trigger.type == "ctrl-btn":
tm_panels = list()
tm_all_in_one = list()
tm_ignore_host = list()
store["trending-graphs"] = None
store["telemetry-graphs"] = list()
on_draw = [True, True]
if trigger.idx == "add-test":
dut = ctrl_panel.get("dd-dut-val")
phy = ctrl_panel.get("dd-phy-val")
area = ctrl_panel.get("dd-area-val")
test = ctrl_panel.get("dd-test-val")
# Add selected test(s) to the list of tests in store:
if store_sel is None:
store_sel = list()
for core in ctrl_panel.get("cl-core-val"):
for framesize in ctrl_panel.get("cl-frmsize-val"):
for ttype in ctrl_panel.get("cl-tsttype-val"):
if dut == "trex":
core = str()
tid = "-".join((
dut,
phy.replace('af_xdp', 'af-xdp'),
area,
framesize.lower(),
core.lower(),
test,
ttype.lower()
))
if tid not in [i["id"] for i in store_sel]:
store_sel.append({
"id": tid,
"dut": dut,
"phy": phy,
"area": area,
"test": test,
"framesize": framesize.lower(),
"core": core.lower(),
"testtype": ttype.lower()
})
store_sel = sorted(store_sel, key=lambda d: d["id"])
if C.CLEAR_ALL_INPUTS:
ctrl_panel.set(ctrl_panel.defaults)
elif trigger.idx == "rm-test" and lst_sel:
new_store_sel = list()
for idx, item in enumerate(store_sel):
if not lst_sel[idx]:
new_store_sel.append(item)
store_sel = new_store_sel
elif trigger.idx == "rm-test-all":
store_sel = list()
elif trigger.type == "telemetry-btn":
if trigger.idx in ("open", "back"):
tm.from_dataframe(self._data)
tm_data = tm.to_json()
tm_user["unique_metrics"] = tm.unique_metrics
tm_user["selected_metrics"] = list()
tm_user["unique_labels"] = dict()
tm_user["selected_labels"] = dict()
search_out = (
get_list_group_items(tm_user["unique_metrics"],
"tele-cl", False),
)
is_open = (True, False)
tm_btns_disabled[1], tm_btns_disabled[5] = False, True
elif trigger.idx == "select":
if any(cl_metrics):
tm.from_json(tm_data)
if not tm_user["selected_metrics"]:
tm_user["selected_metrics"] = \
tm_user["unique_metrics"]
metrics = [a for a, b in \
zip(tm_user["selected_metrics"], cl_metrics) if b]
tm_user["selected_metrics"] = metrics
tm_user["unique_labels"] = \
tm.get_selected_labels(metrics)
tm_user["unique_metrics_with_labels"] = \
tm.unique_metrics_with_labels
list_metrics[0] = tm.str_metrics
tm_dd[0] = _get_dd_container(tm_user["unique_labels"])
if list_metrics[0]:
tm_btns_disabled[1] = True
tm_btns_disabled[4] = False
is_open = (False, True)
else:
is_open = (True, False)
elif trigger.idx == "add":
tm.from_json(tm_data)
tm_panels.append(tm_user["selected_metrics_with_labels"])
tm_all_in_one.append(all_in_one)
tm_ignore_host.append(ignore_host)
is_open = (False, False)
tm_btns_disabled[1], tm_btns_disabled[5] = True, True
on_draw = [True, True]
elif trigger.idx == "cancel":
is_open = (False, False)
tm_btns_disabled[1], tm_btns_disabled[5] = True, True
elif trigger.idx == "rm-all":
tm_panels = list()
tm_all_in_one = list()
tm_ignore_host = list()
tm_user = None
is_open = (False, False)
tm_btns_disabled[1], tm_btns_disabled[5] = True, True
plotting_area_telemetry = C.PLACEHOLDER
elif trigger.type == "telemetry-search-in":
tm.from_metrics(tm_user["unique_metrics"])
tm_user["selected_metrics"] = \
tm.search_unique_metrics(trigger.value)
search_out = (get_list_group_items(
tm_user["selected_metrics"],
type="tele-cl",
colorize=False
), )
is_open = (True, False)
elif trigger.type == "tm-dd":
tm.from_metrics_with_labels(
tm_user["unique_metrics_with_labels"]
)
selected = dict()
previous_itm = None
for itm in tm_dd_in:
if itm is None:
show_new = True
elif isinstance(itm, str):
show_new = False
selected[itm] = list()
elif isinstance(itm, list):
if previous_itm is not None:
selected[previous_itm] = itm
show_new = True
previous_itm = itm
tm_dd[0] = _get_dd_container(
tm_user["unique_labels"],
selected,
show_new
)
sel_metrics = tm.filter_selected_metrics_by_labels(selected)
tm_user["selected_metrics_with_labels"] = sel_metrics.to_dict()
if not sel_metrics.empty:
list_metrics[0] = tm.metrics_to_str(sel_metrics)
tm_btns_disabled[5] = False
else:
list_metrics[0] = str()
elif trigger.type == "tm-btn-remove":
del tm_panels[trigger.idx]
del tm_all_in_one[trigger.idx]
del tm_ignore_host[trigger.idx]
del store["telemetry-graphs"][trigger.idx]
tm.from_json(tm_data)
on_draw = [True, True]
new_url_params = {
"store_sel": store_sel,
"norm": ctrl_panel.get("cl-normalize-val"),
"show-trials": ctrl_panel.get("cl-show-trials")
}
if tm_panels:
new_url_params["telemetry"] = tm_panels
new_url_params["all-in-one"] = tm_all_in_one
new_url_params["ignore-host"] = tm_ignore_host
if on_draw[0]: # Trending
if store_sel:
lg_selected = get_list_group_items(store_sel, "sel-cl")
if store["trending-graphs"]:
graphs = store["trending-graphs"]
else:
graphs = graph_trending(
self._data,
store_sel,
self._graph_layout,
bool(ctrl_panel.get("cl-normalize-val")),
bool(ctrl_panel.get("cl-show-trials"))
)
if graphs and graphs[0]:
store["trending-graphs"] = graphs
plotting_area_trending = \
Layout._plotting_area_trending(graphs)
# Telemetry
start_idx = len(store["telemetry-graphs"])
end_idx = len(tm_panels)
if not end_idx:
plotting_area_telemetry = C.PLACEHOLDER
elif on_draw[1] and (end_idx >= start_idx):
if len(tm_all_in_one) != end_idx:
tm_all_in_one = [[None], ] * end_idx
if len(tm_ignore_host) != end_idx:
tm_ignore_host = [[None], ] * end_idx
for idx in range(start_idx, end_idx):
store["telemetry-graphs"].append(graph_tm_trending(
tm.select_tm_trending_data(
tm_panels[idx],
ignore_host=bool(tm_ignore_host[idx][0])
),
self._graph_layout,
bool(tm_all_in_one[idx][0])
))
plotting_area_telemetry = \
Layout._plotting_area_telemetry(
store["telemetry-graphs"]
)
col_plotting_area = C.STYLE_ENABLED
row_selected_tests = C.STYLE_ENABLED
else:
plotting_area_trending = no_update
plotting_area_telemetry = C.PLACEHOLDER
col_plotting_area = C.STYLE_DISABLED
row_selected_tests = C.STYLE_DISABLED
lg_selected = no_update
store_sel = list()
tm_panels = list()
tm_all_in_one = list()
tm_ignore_host = list()
tm_user = None
else:
plotting_area_trending = no_update
col_plotting_area = no_update
row_selected_tests = no_update
lg_selected = no_update
store["url"] = gen_new_url(parsed_url, new_url_params)
store["control-panel"] = ctrl_panel.panel
store["selected-tests"] = store_sel
store["telemetry-data"] = tm_data
store["selected-metrics"] = tm_user
store["telemetry-panels"] = tm_panels
store["telemetry-all-in-one"] = tm_all_in_one
store["telemetry-ignore-host"] = tm_ignore_host
ret_val = [
store,
plotting_area_trending,
plotting_area_telemetry,
col_plotting_area,
row_selected_tests,
lg_selected,
search_out,
is_open,
tm_btns_disabled,
tm_dd,
list_metrics
]
ret_val.extend(ctrl_panel.values)
return ret_val
@app.callback(
Output("plot-mod-url", "is_open"),
Output("mod-url", "children"),
State("store", "data"),
State("plot-mod-url", "is_open"),
Input("plot-btn-url", "n_clicks")
)
def toggle_plot_mod_url(store, is_open, n_clicks):
"""Toggle the modal window with url.
"""
if not store:
raise PreventUpdate
if n_clicks:
return not is_open, store.get("url", str())
return is_open, store["url"]
def _get_dd_container(
all_labels: dict,
selected_labels: dict=dict(),
show_new=True
) -> list:
"""Generate a container with dropdown selection boxes depenting on
the input data.
:param all_labels: A dictionary with unique labels and their
possible values.
:param selected_labels: A dictionalry with user selected lables and
their values.
:param show_new: If True, a dropdown selection box to add a new
label is displayed.
:type all_labels: dict
:type selected_labels: dict
:type show_new: bool
:returns: A list of dbc rows with dropdown selection boxes.
:rtype: list
"""
def _row(
id: str,
lopts: list=list(),
lval: str=str(),
vopts: list=list(),
vvals: list=list()
) -> dbc.Row:
"""Generates a dbc row with dropdown boxes.
:param id: A string added to the dropdown ID.
:param lopts: A list of options for 'label' dropdown.
:param lval: Value of 'label' dropdown.
:param vopts: A list of options for 'value' dropdown.
:param vvals: A list of values for 'value' dropdown.
:type id: str
:type lopts: list
:type lval: str
:type vopts: list
:type vvals: list
:returns: dbc row with dropdown boxes.
:rtype: dbc.Row
"""
children = list()
if lopts:
children.append(
dbc.Col(
width=6,
children=[
dcc.Dropdown(
id={
"type": "tm-dd",
"index": f"label-{id}"
},
placeholder="Select a label...",
optionHeight=20,
multi=False,
options=lopts,
value=lval if lval else None
)
]
)
)
if vopts:
children.append(
dbc.Col(
width=6,
children=[
dcc.Dropdown(
id={
"type": "tm-dd",
"index": f"value-{id}"
},
placeholder="Select a value...",
optionHeight=20,
multi=True,
options=vopts,
value=vvals if vvals else None
)
]
)
)
return dbc.Row(class_name="g-0 p-1", children=children)
container = list()
# Display rows with items in 'selected_labels'; label on the left,
# values on the right:
keys_left = list(all_labels.keys())
for idx, label in enumerate(selected_labels.keys()):
container.append(_row(
id=idx,
lopts=deepcopy(keys_left),
lval=label,
vopts=all_labels[label],
vvals=selected_labels[label]
))
keys_left.remove(label)
# Display row with dd with labels on the left, right side is empty:
if show_new and keys_left:
container.append(_row(id="new", lopts=keys_left))
return container
@app.callback(
Output("metadata-tput-lat", "children"),
Output("metadata-hdrh-graph", "children"),
Output("offcanvas-metadata", "is_open"),
Input({"type": "graph", "index": ALL}, "clickData"),
prevent_initial_call=True
)
def _show_metadata_from_graphs(graph_data: dict) -> tuple:
"""Generates the data for the offcanvas displayed when a particular
point in a graph is clicked on.
:param graph_data: The data from the clicked point in the graph.
:type graph_data: dict
:returns: The data to be displayed on the offcanvas and the
information to show the offcanvas.
:rtype: tuple(list, list, bool)
"""
trigger = Trigger(callback_context.triggered)
if not trigger.value:
raise PreventUpdate
return show_trending_graph_data(
trigger, graph_data, self._graph_layout)
@app.callback(
Output("download-trending-data", "data"),
State("store", "data"),
Input("plot-btn-download", "n_clicks"),
Input({"type": "tm-btn-download", "index": ALL}, "n_clicks"),
prevent_initial_call=True
)
def _download_data(store: list, *_) -> dict:
"""Download the data
:param store_sel: List of tests selected by user stored in the
browser.
:type store_sel: list
:returns: dict of data frame content (base64 encoded) and meta data
used by the Download component.
:rtype: dict
"""
if not store:
raise PreventUpdate
if not store["selected-tests"]:
raise PreventUpdate
df = pd.DataFrame()
trigger = Trigger(callback_context.triggered)
if not trigger.value:
raise PreventUpdate
if trigger.type == "plot-btn-download":
data = list()
for itm in store["selected-tests"]:
sel_data = select_trending_data(self._data, itm)
if sel_data is None:
continue
data.append(sel_data)
df = pd.concat(data, ignore_index=True, copy=False)
file_name = C.TREND_DOWNLOAD_FILE_NAME
elif trigger.type == "tm-btn-download":
tm = TelemetryData(store["selected-tests"])
tm.from_json(store["telemetry-data"])
df = tm.select_tm_trending_data(
store["telemetry-panels"][trigger.idx]
)
file_name = C.TELEMETRY_DOWNLOAD_FILE_NAME
else:
raise PreventUpdate
return dcc.send_data_frame(df.to_csv, file_name)
@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
|