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 Input, Output
+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, timedelta
+from copy import deepcopy
from ..data.data import Data
from .graphs import graph_statistics
"""
"""
- def __init__(self, app, html_layout_file, spec_file, graph_layout_file,
- data_spec_file):
+ DEFAULT_JOB = "csit-vpp-perf-mrr-daily-master-2n-icx"
+
+ def __init__(self, app: Flask, html_layout_file: str, spec_file: str,
+ graph_layout_file: str, data_spec_file: str,
+ time_period: int=None) -> None:
"""
"""
self._spec_file = spec_file
self._graph_layout_file = graph_layout_file
self._data_spec_file = data_spec_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=180)
+ ).read_stats(days=self._time_period)
df_tst_info = pd.concat([data_mrr, data_ndrpdr], ignore_index=True)
data_stats = data_stats[~data_stats.job.str.contains("-iterative-")]
data_stats = data_stats[["job", "build", "start_time", "duration"]]
- self._jobs = sorted(list(data_stats["job"].unique()))
+ 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()))
+ job_info = {
+ "job": list(),
+ "dut": list(),
+ "ttype": list(),
+ "cadence": list(),
+ "tbed": 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)
+
+ lst_job = self.DEFAULT_JOB.split("-")
+ self._default = {
+ "job": self.DEFAULT_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]))
+ }
tst_info = {
"job": list(),
"passed": list(),
"failed": list()
}
- for job in self._jobs:
+ 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:
)
self._default_fig_passed, self._default_fig_duration = graph_statistics(
- self.data, self.jobs[0], self.layout
+ self.data, self._default["job"], self.layout
)
# Callbacks:
return self._graph_layout
@property
- def jobs(self) -> list:
- return self._jobs
+ def time_period(self) -> int:
+ return self._time_period
+
+ @property
+ 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 _get_job(self, dut, ttype, cadence, testbed):
+ """Get the name of a job defined by dut, ttype, cadence, testbed.
+
+ 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 add_content(self):
"""
return html.Div(
id="div-main",
children=[
+ dcc.Store(
+ id="control-panel"
+ ),
dbc.Row(
id="row-navbar",
class_name="g-0",
self._add_navbar(),
]
),
+ dcc.Loading(
+ dbc.Offcanvas(
+ class_name="w-25",
+ 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=[
- dcc.Store(
- id="selected-tests"
- ),
- dcc.Store(
- id="control-panel"
- ),
self._add_ctrl_col(),
self._add_plotting_col(),
]
dcc.Loading(children=[
dbc.Button(
id="btn-download-data",
- children=["Download Data"]
+ children=["Download Data"],
+ class_name="me-1",
+ color="info"
),
dcc.Download(id="download-data")
])
"""
return dbc.Row(
id="row-ctrl-panel",
- class_name="g-0 p-2",
+ class_name="g-0",
children=[
- dbc.Label("Choose the Trending Job"),
- dbc.RadioItems(
- id="ri_job",
- value=self.jobs[0],
- options=[{"label": i, "value": i} for i in self.jobs]
+ dbc.Row(
+ class_name="g-0 p-2",
+ children=[
+ dbc.Row(
+ class_name="gy-1",
+ children=[
+ dbc.Label(
+ "Device under Test",
+ class_name="p-0"
+ ),
+ dbc.RadioItems(
+ id="ri-duts",
+ inline=True,
+ value=self.default["dut"],
+ options=self.default["duts"]
+ )
+ ]
+ ),
+ dbc.Row(
+ class_name="gy-1",
+ children=[
+ dbc.Label(
+ "Test Type",
+ class_name="p-0"
+ ),
+ dbc.RadioItems(
+ id="ri-ttypes",
+ inline=True,
+ value=self.default["ttype"],
+ options=self.default["ttypes"]
+ )
+ ]
+ ),
+ dbc.Row(
+ class_name="gy-1",
+ children=[
+ dbc.Label(
+ "Cadence",
+ class_name="p-0"
+ ),
+ dbc.RadioItems(
+ id="ri-cadences",
+ inline=True,
+ value=self.default["cadence"],
+ options=self.default["cadences"]
+ )
+ ]
+ ),
+ dbc.Row(
+ class_name="gy-1",
+ children=[
+ dbc.Label(
+ "Test Bed",
+ class_name="p-0"
+ ),
+ 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"]
+ )
+ ]
+ )
+ ]
),
- dbc.Label("Choose the Time Period"),
- dcc.DatePickerRange(
- id="dpr-period",
- className="d-flex justify-content-center",
- min_date_allowed=\
- datetime.utcnow()-timedelta(days=180),
- max_date_allowed=datetime.utcnow(),
- initial_visible_month=datetime.utcnow(),
- start_date=datetime.utcnow() - timedelta(days=180),
- end_date=datetime.utcnow(),
- display_format="D MMMM YY"
+ dbc.Row(
+ class_name="g-0 p-2",
+ children=[
+ dbc.Label("Choose the Time Period"),
+ dcc.DatePickerRange(
+ id="dpr-period",
+ className="d-flex justify-content-center",
+ min_date_allowed=\
+ datetime.utcnow() - timedelta(
+ days=self.time_period),
+ max_date_allowed=datetime.utcnow(),
+ initial_visible_month=datetime.utcnow(),
+ start_date=\
+ datetime.utcnow() - timedelta(
+ days=self.time_period),
+ end_date=datetime.utcnow(),
+ display_format="D MMMM YY"
+ )
+ ]
)
]
)
+ class ControlPanel:
+ def __init__(self, panel: dict, default: dict) -> None:
+ 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:
+ 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:
+ return self._panel[key]
+
+ def values(self) -> 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):
@app.callback(
+ Output("control-panel", "data"), # Store
Output("graph-passed", "figure"),
Output("graph-duration", "figure"),
- Input("ri_job", "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("dpr-period", "start_date"),
Input("dpr-period", "end_date"),
prevent_initial_call=True
)
- def _update_ctrl_panel(job:str, d_start: str, d_end: str) -> tuple:
+ def _update_ctrl_panel(cp_data: dict, dut:str, ttype: str, cadence:str,
+ tbed: str, d_start: str, d_end: str) -> tuple:
"""
"""
+ ctrl_panel = self.ControlPanel(cp_data, self.default)
+
d_start = datetime(int(d_start[0:4]), int(d_start[5:7]),
int(d_start[8:10]))
d_end = datetime(int(d_end[0:4]), int(d_end[5:7]), int(d_end[8:10]))
- fig_passed, fig_duration = graph_statistics(
- self.data, job, self.layout, d_start, d_end
+ 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_val = ttype_opts[0]["value"]
+ cad_opts = self._generate_options(
+ self._get_cadences(dut, ttype_val))
+ cad_val = cad_opts[0]["value"]
+ tbed_opts = self._generate_options(
+ self._get_test_beds(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 = self._generate_options(
+ self._get_cadences(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_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 = self._generate_options(
+ self._get_test_beds(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 == "dpr-period":
+ pass
+
+ 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")
)
+ ctrl_panel.set({"al-job-children": job})
+ fig_passed, fig_duration = graph_statistics(
+ self.data, job, self.layout, d_start, d_end)
- return fig_passed, fig_duration
+ ret_val = [ctrl_panel.panel, fig_passed, fig_duration]
+ ret_val.extend(ctrl_panel.values())
+ return ret_val
@app.callback(
Output("download-data", "data"),
raise PreventUpdate
return dcc.send_data_frame(self.data.to_csv, "statistics.csv")
+
+ @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:
+ """
+ """
+
+ 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:
+ 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 graph_data.split("<br>")
+ ],
+ flush=True),
+ ]
+ )
+ ]
+ )
+ ]
+ open_canvas = True
+
+ return metadata, open_canvas
Code Review / csit.git / blobdiff