"""
import logging
-import urllib
import pandas as pd
import dash_bootstrap_components as dbc
from datetime import datetime, timedelta
from copy import deepcopy
+from ..utils.constants import Constants as C
+from ..utils.utils import show_tooltip, gen_new_url, get_date, 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.
"""
- """
-
- DEFAULT_JOB = "csit-vpp-perf-mrr-daily-master-2n-icx"
- def __init__(self, app: Flask, html_layout_file: str, spec_file: str,
+ 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._spec_file = spec_file
self._graph_layout_file = graph_layout_file
self._data_spec_file = data_spec_file
self._tooltip_file = tooltip_file
self._time_period = data_time_period
jobs = sorted(list(data_stats["job"].unique()))
- job_info = {
+ d_job_info = {
"job": list(),
"dut": list(),
"ttype": list(),
}
for job in jobs:
lst_job = job.split("-")
- job_info["job"].append(job)
- job_info["dut"].append(lst_job[1])
- job_info["ttype"].append(lst_job[3])
- job_info["cadence"].append(lst_job[4])
- job_info["tbed"].append("-".join(lst_job[-2:]))
- self.df_job_info = pd.DataFrame.from_dict(job_info)
+ 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 = self._set_job_params(self.DEFAULT_JOB)
+ self._default = set_job_params(self.job_info, C.STATS_DEFAULT_JOB)
tst_info = {
"job": list(),
"dut_version": list(),
"hosts": list(),
"passed": list(),
- "failed": list()
+ "failed": list(),
+ "lst_failed": list()
}
for job in jobs:
- # TODO: Add list of failed tests for each build
df_job = df_tst_info.loc[(df_tst_info["job"] == job)]
builds = df_job["build"].unique()
for build in builds:
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]
+ passed = df_build.value_counts(subset="passed")[True]
except KeyError:
passed = 0
try:
- failed = df_build.value_counts(subset='passed')[False]
+ 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))
def default(self) -> any:
return self._default
- def _get_duts(self) -> list:
- """
- """
- return sorted(list(self.df_job_info["dut"].unique()))
-
- def _get_ttypes(self, dut: str) -> list:
- """
- """
- return sorted(list(self.df_job_info.loc[(
- self.df_job_info["dut"] == dut
- )]["ttype"].unique()))
-
- def _get_cadences(self, dut: str, ttype: str) -> list:
- """
- """
- return sorted(list(self.df_job_info.loc[(
- (self.df_job_info["dut"] == dut) &
- (self.df_job_info["ttype"] == ttype)
- )]["cadence"].unique()))
-
- def _get_test_beds(self, dut: str, ttype: str, cadence: str) -> list:
- """
- """
- return sorted(list(self.df_job_info.loc[(
- (self.df_job_info["dut"] == dut) &
- (self.df_job_info["ttype"] == ttype) &
- (self.df_job_info["cadence"] == cadence)
- )]["tbed"].unique()))
+ def add_content(self):
+ """Top level method which generated the web page.
- def _get_job(self, dut, ttype, cadence, testbed):
- """Get the name of a job defined by dut, ttype, cadence, testbed.
+ It generates:
+ - Store for user input data,
+ - Navigation bar,
+ - Main area with control panel and ploting area.
- Input information comes from control panel.
- """
- return self.df_job_info.loc[(
- (self.df_job_info["dut"] == dut) &
- (self.df_job_info["ttype"] == ttype) &
- (self.df_job_info["cadence"] == cadence) &
- (self.df_job_info["tbed"] == testbed)
- )]["job"].item()
-
- def _set_job_params(self, job: str) -> dict:
- """
- """
- lst_job = job.split("-")
- return {
- "job": job,
- "dut": lst_job[1],
- "ttype": lst_job[3],
- "cadence": lst_job[4],
- "tbed": "-".join(lst_job[-2:]),
- "duts": self._generate_options(self._get_duts()),
- "ttypes": self._generate_options(self._get_ttypes(lst_job[1])),
- "cadences": self._generate_options(self._get_cadences(
- lst_job[1], lst_job[3])),
- "tbeds": self._generate_options(self._get_test_beds(
- lst_job[1], lst_job[3], lst_job[4]))
- }
+ If no HTML layout is provided, an error message is displayed instead.
- def _show_tooltip(self, id: str, title: str) -> list:
- """
+ :returns: The HTML div with the whole page.
+ :rtype: html.Div
"""
- return [
- f"{title} ",
- dbc.Badge(
- id=id,
- children="?",
- pill=True,
- color="white",
- text_color="info",
- class_name="border ms-1",
- ),
- dbc.Tooltip(
- children=self._tooltips.get(id, str()),
- target=id,
- placement="auto"
- )
- ]
- def add_content(self):
- """
- """
if self.html_layout:
return html.Div(
id="div-main",
),
dcc.Loading(
dbc.Offcanvas(
- class_name="w-25",
+ class_name="w-50",
id="offcanvas-metadata",
title="Detailed Information",
placement="end",
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",
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",
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",
dcc.Loading(children=[
dbc.Button(
id="btn-download-data",
- children=self._show_tooltip(
+ 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.Card(
- id="card-url",
- body=True,
- class_name="gy-2 p-0",
- 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=""
+ )
+ ]
+ )
]
)
]
)
def _add_ctrl_panel(self) -> dbc.Row:
- """
+ """Add control panel.
+
+ :returns: Control panel.
+ :rtype: dbc.Row
"""
return dbc.Row(
id="row-ctrl-panel",
children=[
dbc.Label(
class_name="p-0",
- children=self._show_tooltip(
+ children=show_tooltip(self._tooltips,
"help-dut", "Device under Test")
),
dbc.Row(
children=[
dbc.Label(
class_name="p-0",
- children=self._show_tooltip(
+ children=show_tooltip(self._tooltips,
"help-ttype", "Test Type"),
),
dbc.RadioItems(
children=[
dbc.Label(
class_name="p-0",
- children=self._show_tooltip(
+ children=show_tooltip(self._tooltips,
"help-cadence", "Cadence"),
),
dbc.RadioItems(
children=[
dbc.Label(
class_name="p-0",
- children=self._show_tooltip(
+ children=show_tooltip(self._tooltips,
"help-tbed", "Test Bed"),
),
dbc.Select(
children=[
dbc.Label(
class_name="gy-1",
- children=self._show_tooltip(
+ children=show_tooltip(self._tooltips,
"help-time-period", "Time Period"),
),
dcc.DatePickerRange(
)
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"],
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
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())
- @staticmethod
- def _generate_options(opts: list) -> list:
- """
- """
- return [{"label": i, "value": i} for i in opts]
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("card-url", "children"),
+ Output("input-url", "value"),
Output("ri-ttypes", "options"),
Output("ri-cadences", "options"),
Output("dd-tbeds", "options"),
Input("dpr-period", "start_date"),
Input("dpr-period", "end_date"),
Input("url", "href")
- # prevent_initial_call=True
)
- def _update_ctrl_panel(cp_data: dict, dut:str, ttype: str, cadence:str,
+ def _update_ctrl_panel(cp_data: dict, dut: str, ttype: str, cadence:str,
tbed: str, start: str, end: 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 start: Date and time where the data processing starts.
+ :param end: Date and time where the data processing ends.
+ :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 start: str
+ :type end: str
+ :type href: str
+ :returns: New values for web page elements.
+ :rtype: tuple
"""
ctrl_panel = self.ControlPanel(cp_data, self.default)
- start = datetime(int(start[0:4]), int(start[5:7]), int(start[8:10]))
- end = datetime(int(end[0:4]), int(end[5:7]), int(end[8:10]))
+ start = get_date(start)
+ end = get_date(end)
- parsed_url = urllib.parse.urlparse(href)
- url = f"{parsed_url.netloc}{parsed_url.path}"
- url_params = urllib.parse.parse_qs(parsed_url.fragment)
+ # 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 = self._generate_options(self._get_ttypes(dut))
+ ttype_opts = generate_options(get_ttypes(self.job_info, dut))
ttype_val = ttype_opts[0]["value"]
- cad_opts = self._generate_options(
- self._get_cadences(dut, ttype_val))
+ cad_opts = generate_options(get_cadences(
+ self.job_info, dut, ttype_val))
cad_val = cad_opts[0]["value"]
- tbed_opts = self._generate_options(
- self._get_test_beds(dut, ttype_val, cad_val))
+ 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,
"dd-tbeds-value": tbed_val
})
elif trigger_id == "ri-ttypes":
- cad_opts = self._generate_options(
- self._get_cadences(ctrl_panel.get("ri-duts-value"), ttype))
+ cad_opts = generate_options(get_cadences(
+ self.job_info, ctrl_panel.get("ri-duts-value"), ttype))
cad_val = cad_opts[0]["value"]
- tbed_opts = self._generate_options(
- self._get_test_beds(ctrl_panel.get("ri-duts-value"),
- ttype, cad_val))
+ 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,
"dd-tbeds-value": tbed_val
})
elif trigger_id == "ri-cadences":
- tbed_opts = self._generate_options(
- self._get_test_beds(ctrl_panel.get("ri-duts-value"),
+ 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({
new_start = url_params.get("start", list())[0]
new_end = url_params.get("end", list())[0]
if new_job and new_start and new_end:
- start = datetime(
- int(new_start[0:4]), int(new_start[5:7]),
- int(new_start[8:10]))
- end = datetime(
- int(new_end[0:4]), int(new_end[5:7]),
- int(new_end[8:10]))
- job_params = self._set_job_params(new_job)
+ start = get_date(new_start)
+ end = get_date(new_end)
+ 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 = self._get_job(
- ctrl_panel.get("ri-duts-value"),
- ctrl_panel.get("ri-ttypes-value"),
- ctrl_panel.get("ri-cadences-value"),
- ctrl_panel.get("dd-tbeds-value")
- )
- job = self._get_job(
+ 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")
)
- url_params = {
- "job": job,
- "start": start,
- "end": end
- }
ctrl_panel.set({"al-job-children": job})
- fig_passed, fig_duration = graph_statistics(
- self.data, job, self.layout, start, end)
+ fig_passed, fig_duration = graph_statistics(self.data, job,
+ self.layout, start, end)
ret_val = [
ctrl_panel.panel,
fig_passed,
fig_duration,
- [
- dcc.Clipboard(
- target_id="card-url",
- title="Copy URL",
- style={"display": "inline-block"}
- ),
- f"{url}#{urllib.parse.urlencode(url_params)}"
- ]
+ gen_new_url(
+ parsed_url,
+ {
+ "job": job,
+ "start": start,
+ "end": end
+ }
+ )
]
ret_val.extend(ctrl_panel.values())
return ret_val
prevent_initial_call=True
)
def _download_data(cp_data: dict, start: str, end: str, n_clicks: int):
- """
+ """Download the data
+
+ :param cp_data: Current status of the control panel stored in
+ browser.
+ :param start: Date and time where the data processing starts.
+ :param end: Date and time where the data processing ends.
+ :param n_clicks: Number of clicks on the button "Download".
+ :type cp_data: dict
+ :type start: str
+ :type end: str
+ :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 = self._get_job(
+ 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")
)
- start = datetime(int(start[0:4]), int(start[5:7]), int(start[8:10]))
- end = datetime(int(end[0:4]), int(end[5:7]), int(end[8:10]))
- data = select_data(self.data, job, start, end)
+ data = select_data(self.data, job, get_date(start), get_date(end))
data = data.drop(columns=["job", ])
return dcc.send_data_frame(data.T.to_csv, f"{job}-stats.csv")
)
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):
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",
),
x.split(": ")[1]
]
- ) for x in graph_data.split("<br>")
+ ) 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