/dashboard_realtime.py Secret
Created
September 9, 2021 18:06
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Main calling script to consume the data from Ably queue & then visualize the trend.
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############################################## | |
#### Written By: SATYAKI DE #### | |
#### Written On: 08-Sep-2021 #### | |
#### Modified On 08-Sep-2021 #### | |
#### #### | |
#### Objective: This is the main script #### | |
#### to invoke dashboard after consuming #### | |
#### streaming real-time predicted data #### | |
#### using Facebook API & Ably message Q. #### | |
#### #### | |
#### This script will show the trend #### | |
#### comparison between major democracies #### | |
#### of the world. #### | |
#### #### | |
############################################## | |
import datetime | |
import dash | |
from dash import dcc | |
from dash import html | |
import plotly | |
from dash.dependencies import Input, Output | |
from ably import AblyRest | |
from clsConfig import clsConfig as cf | |
import pandas as p | |
# Main Class to consume streaming | |
import clsStreamConsume as ca | |
import numpy as np | |
# Create the instance of the Covid API Class | |
x1 = ca.clsStreamConsume() | |
external_stylesheets = ['https://codepen.io/chriddyp/pen/bWLwgP.css'] | |
app = dash.Dash(__name__, external_stylesheets=external_stylesheets) | |
app.layout = html.Div( | |
html.Div([ | |
html.H1("Covid-19 Trend Dashboard", | |
className='text-center text-primary mb-4'), | |
html.H5(children=''' | |
Dash: Covid-19 Trend - (Present Vs Future) | |
'''), | |
html.P("Covid-19: New Confirmed Cases:", | |
style={"textDecoration": "underline"}), | |
dcc.Graph(id='live-update-graph-1'), | |
html.P("Covid-19: New Death Cases:", | |
style={"textDecoration": "underline"}), | |
dcc.Graph(id='live-update-graph-2'), | |
dcc.Interval( | |
id='interval-component', | |
interval=5*1000, # in milliseconds | |
n_intervals=0 | |
) | |
], className="row", style={'marginBottom': 10, 'marginTop': 10}) | |
) | |
def to_OptimizeString(row): | |
try: | |
x_str = str(row['Year_Mon']) | |
dt_format = '%Y%m%d' | |
finStr = x_str + '01' | |
strReportDate = datetime.datetime.strptime(finStr, dt_format) | |
return strReportDate | |
except Exception as e: | |
x = str(e) | |
print(x) | |
dt_format = '%Y%m%d' | |
var = '20990101' | |
strReportDate = datetime.strptime(var, dt_format) | |
return strReportDate | |
def fetchEvent(var1, DInd): | |
try: | |
# Let's pass this to our map section | |
iDF_M = x1.conStream(var1, DInd) | |
# Converting Year_Mon to dates | |
iDF_M['Year_Mon_Mod']= iDF_M.apply(lambda row: to_OptimizeString(row), axis=1) | |
# Dropping old columns | |
iDF_M.drop(columns=['Year_Mon'], axis=1, inplace=True) | |
#Renaming new column to old column | |
iDF_M.rename(columns={'Year_Mon_Mod':'Year_Mon'}, inplace=True) | |
return iDF_M | |
except Exception as e: | |
x = str(e) | |
print(x) | |
iDF_M = p.DataFrame() | |
return iDF_M | |
# Multiple components can update everytime interval gets fired. | |
@app.callback(Output('live-update-graph-1', 'figure'), | |
Input('interval-component', 'n_intervals')) | |
def update_graph_live(n): | |
try: | |
var1 = datetime.datetime.now().strftime("%Y-%m-%d_%H-%M-%S") | |
print('*' *60) | |
DInd = 'Y' | |
# Let's pass this to our map section | |
retDF = fetchEvent(var1, DInd) | |
# Create the graph with subplots | |
#fig = plotly.tools.make_subplots(rows=2, cols=1, shared_xaxes=True, vertical_spacing=0.3, horizontal_spacing=0.2) | |
fig = plotly.tools.make_subplots(rows=2, cols=1, vertical_spacing=0.3, horizontal_spacing=0.2) | |
# Routing data to dedicated DataFrame | |
retDFNC = retDF.loc[(retDF['Status'] == 'NewConfirmed')] | |
# Adding different chart into one dashboard | |
# First Use Case - New Confirmed | |
fig.append_trace({'x':retDFNC.Year_Mon,'y':retDFNC.Brazil,'type':'scatter','name':'Brazil'},1,1) | |
fig.append_trace({'x':retDFNC.Year_Mon,'y':retDFNC.Canada,'type':'scatter','name':'Canada'},1,1) | |
fig.append_trace({'x':retDFNC.Year_Mon,'y':retDFNC.Germany,'type':'scatter','name':'Germany'},1,1) | |
fig.append_trace({'x':retDFNC.Year_Mon,'y':retDFNC.India,'type':'scatter','name':'India'},1,1) | |
fig.append_trace({'x':retDFNC.Year_Mon,'y':retDFNC.Indonesia,'type':'scatter','name':'Indonesia'},1,1) | |
fig.append_trace({'x':retDFNC.Year_Mon,'y':retDFNC.UnitedKingdom,'type':'scatter','name':'United Kingdom'},1,1) | |
fig.append_trace({'x':retDFNC.Year_Mon,'y':retDFNC.UnitedStates,'type':'scatter','name':'United States'},1,1) | |
return fig | |
except Exception as e: | |
x = str(e) | |
print(x) | |
# Create the graph with subplots | |
fig = plotly.tools.make_subplots(rows=2, cols=1, vertical_spacing=0.2) | |
fig['layout']['margin'] = { | |
'l': 30, 'r': 10, 'b': 30, 't': 10 | |
} | |
fig['layout']['legend'] = {'x': 0, 'y': 1, 'xanchor': 'left'} | |
return fig | |
# Multiple components can update everytime interval gets fired. | |
@app.callback(Output('live-update-graph-2', 'figure'), | |
Input('interval-component', 'n_intervals')) | |
def update_graph_live(n): | |
try: | |
var1 = datetime.datetime.now().strftime("%Y-%m-%d_%H-%M-%S") | |
print('*' *60) | |
DInd = 'Y' | |
# Let's pass this to our map section | |
retDF = fetchEvent(var1, DInd) | |
# Create the graph with subplots | |
#fig = plotly.tools.make_subplots(rows=2, cols=1, shared_xaxes=True, vertical_spacing=0.3, horizontal_spacing=0.2) | |
fig = plotly.tools.make_subplots(rows=2, cols=1, vertical_spacing=0.3, horizontal_spacing=0.2) | |
# Routing data to dedicated DataFrame | |
retDFND = retDF.loc[(retDF['Status'] == 'NewDeaths')] | |
# Adding different chart into one dashboard | |
# Second Use Case - New Confirmed | |
fig.append_trace({'x':retDFND.Year_Mon,'y':retDFND.Brazil,'type':'bar','name':'Brazil'},1,1) | |
fig.append_trace({'x':retDFND.Year_Mon,'y':retDFND.Canada,'type':'bar','name':'Canada'},1,1) | |
fig.append_trace({'x':retDFND.Year_Mon,'y':retDFND.Germany,'type':'bar','name':'Germany'},1,1) | |
fig.append_trace({'x':retDFND.Year_Mon,'y':retDFND.India,'type':'bar','name':'India'},1,1) | |
fig.append_trace({'x':retDFND.Year_Mon,'y':retDFND.Indonesia,'type':'bar','name':'Indonesia'},1,1) | |
fig.append_trace({'x':retDFND.Year_Mon,'y':retDFND.UnitedKingdom,'type':'bar','name':'United Kingdom'},1,1) | |
fig.append_trace({'x':retDFND.Year_Mon,'y':retDFND.UnitedStates,'type':'bar','name':'United States'},1,1) | |
return fig | |
except Exception as e: | |
x = str(e) | |
print(x) | |
# Create the graph with subplots | |
fig = plotly.tools.make_subplots(rows=2, cols=1, vertical_spacing=0.2) | |
fig['layout']['margin'] = { | |
'l': 30, 'r': 10, 'b': 30, 't': 10 | |
} | |
fig['layout']['legend'] = {'x': 0, 'y': 1, 'xanchor': 'left'} | |
return fig | |
if __name__ == '__main__': | |
app.run_server(debug=True) |
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