X-Git-Url: https://gerrit.fd.io/r/gitweb?a=blobdiff_plain;f=resources%2Ftools%2Fdash%2Fapp%2Fpal%2Ftrending%2Ftrending.py;h=af1dc797220d3bd029f7e1eab4d38b7565d51d86;hb=d2ddfd1ead021f1dd520271d763e1789954e32d9;hp=4edf83104504aef1fa57d4a33aff31c25d56998d;hpb=b2cb835b34c7404b2aaee3ec30700c67537da66d;p=csit.git diff --git a/resources/tools/dash/app/pal/trending/trending.py b/resources/tools/dash/app/pal/trending/trending.py index 4edf831045..af1dc79722 100644 --- a/resources/tools/dash/app/pal/trending/trending.py +++ b/resources/tools/dash/app/pal/trending/trending.py @@ -11,20 +11,15 @@ # See the License for the specific language governing permissions and # limitations under the License. -"""Instantiate the Trending Dash applocation. +"""Instantiate the Trending Dash application. """ import dash -from dash import dcc -from dash import html -from dash import dash_table -import numpy as np -import pandas as pd -from .data import create_dataframe +from ..utils.constants import Constants as C from .layout import Layout -def init_trending(server): +def init_trending(server, time_period=None): """Create a Plotly Dash dashboard. :param server: Flask server. @@ -35,40 +30,19 @@ def init_trending(server): dash_app = dash.Dash( server=server, - routes_pathname_prefix=u"/trending/", - external_stylesheets=[ - u"/static/dist/css/styles.css", - u"https://fonts.googleapis.com/css?family=Lato", - ], + routes_pathname_prefix=C.TREND_ROUTES_PATHNAME_PREFIX, + external_stylesheets=C.EXTERNAL_STYLESHEETS ) - # Load DataFrame - df = create_dataframe() - - # Custom HTML layout layout = Layout( app=dash_app, - html_layout_file="pal/trending/html_layout.txt", - spec_file="pal/trending/spec_test_selection.yaml" + html_layout_file=C.TREND_HTML_LAYOUT_FILE, + graph_layout_file=C.TREND_GRAPH_LAYOUT_FILE, + data_spec_file=C.DATA_SPEC_FILE, + tooltip_file=C.TOOLTIP_FILE, + time_period=time_period ) dash_app.index_string = layout.html_layout dash_app.layout = layout.add_content() return dash_app.server - - -def create_data_table(df): - """Create Dash datatable from Pandas DataFrame. - - DEMO - """ - - table = dash_table.DataTable( - id=u"database-table", - columns=[{u"name": i, u"id": i} for i in df.columns], - data=df.to_dict(u"records"), - sort_action=u"native", - sort_mode=u"native", - page_size=10, - ) - return table