"""Plotly Dash HTML layout override.
"""
-import logging
import pandas as pd
import dash_bootstrap_components as dbc
from dash import html
from dash import callback_context
from dash import Input, Output, State
-from yaml import load, FullLoader, YAMLError
-from ..data.data import Data
from ..utils.constants import Constants as C
-from ..utils.utils import classify_anomalies, show_tooltip, gen_new_url
+from ..utils.utils import classify_anomalies, gen_new_url
from ..utils.url_processing import url_decode
-from ..data.data import Data
from .tables import table_summary
"""The layout of the dash app and the callbacks.
"""
- def __init__(self, app: Flask, html_layout_file: str, data_spec_file: str,
- tooltip_file: str) -> None:
+ def __init__(
+ self,
+ app: Flask,
+ data_stats: pd.DataFrame,
+ data_trending: pd.DataFrame,
+ html_layout_file: str
+ ) -> None:
"""Initialization:
- save the input parameters,
- read and pre-process the data,
- 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 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.
:type app: Flask
+ :type data_stats: pandas.DataFrame
+ :type data_trending: pandas.DataFrame
:type html_layout_file: str
- :type data_spec_file: str
- :type tooltip_file: str
"""
# Inputs
self._app = app
self._html_layout_file = html_layout_file
- self._data_spec_file = data_spec_file
- self._tooltip_file = tooltip_file
-
- # Read the data:
- data_stats, data_mrr, data_ndrpdr = Data(
- data_spec_file=self._data_spec_file,
- debug=True
- ).read_stats(days=C.NEWS_TIME_PERIOD)
-
- df_tst_info = pd.concat(
- [data_mrr, data_ndrpdr],
- ignore_index=True,
- copy=False
- )
# Prepare information for the control panel:
- self._jobs = sorted(list(df_tst_info["job"].unique()))
+ self._jobs = sorted(list(data_trending["job"].unique()))
d_job_info = {
"job": list(),
"dut": list(),
}
for job in self._jobs:
# Create lists of failed tests:
- df_job = df_tst_info.loc[(df_tst_info["job"] == job)]
+ df_job = data_trending.loc[(data_trending["job"] == job)]
last_build = str(max(pd.to_numeric(df_job["build"].unique())))
df_build = df_job.loc[(df_job["build"] == last_build)]
tst_info["job"].append(job)
# Read from files:
self._html_layout = str()
- self._tooltips = dict()
try:
with open(self._html_layout_file, "r") as file_read:
f"Not possible to open the file {self._html_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_period = C.NEWS_SHORT
self._default_active = (False, True, False)