Merge pull request #1288 from hackforla/combDashboards2

Update plotly dash overview dashboards (combined old dashboards)

server/dash/app.py

@@ -1,46 +1,11 @@
-import json
-import urllib
-
-import dash
-import dash_core_components as dcc
-import dash_html_components as html
-import pandas as pd
-
+from dash import Dash, dcc, html
 
 external_stylesheets = ['/static/reports.css']
-app = dash.Dash(__name__, external_stylesheets=external_stylesheets)
+# Suppress Callback Exceptions due to multi-page Dashboard layout, some callback id may not exist initially.
+app = Dash(__name__, external_stylesheets=external_stylesheets, suppress_callback_exceptions=True)
 
 # set up default layout
 app.layout = html.Div([
     dcc.Location(id='url', refresh=False),
     html.Div(id='page-content')
 ])
-
-server = app.server
-app.config.suppress_callback_exceptions = True
-
-BATCH_SIZE = 10000
-
-
-def batch_get_data(url):
-    # set up your query
-    if '?' in url:
-        batch_url = f"{url}&limit={BATCH_SIZE}"
-    else:
-        batch_url = f"{url}?limit={BATCH_SIZE}"
-
-    response_size = BATCH_SIZE
-    result_list = []
-    skip = 0
-
-    # loop through query results and add to a list (better performance!)
-    while (response_size == BATCH_SIZE):
-        batch = json.loads(urllib.request.urlopen(f"{batch_url}&skip={skip}").read())
-        result_list.extend(batch)
-        response_size = len(batch)
-        skip = skip + BATCH_SIZE
-
-    # convert JSON object list to dataframe
-    df = pd.DataFrame.from_records(result_list)
-
-    return df