Add Dashboard using Plotly Dash.

gsoc_application_projects/2020/influenza/web/README.md → gsoc_application_projects/2020/influenza/dash/README.md

@@ -11,8 +11,8 @@ You will find instructions to install docker engine on your system [here.](https
 ### Pulling and running the docker image
 
 ```commandline
-docker pull tejsukhatme/influenza_estimator:random_forest
-docker run -it -p 5000:5000 tejsukhatme/influenza_estimator:random_forest
+docker pull tejsukhatme/influenza_estimator:latest
+docker run -it -p 5000:5000 tejsukhatme/influenza_estimator:latest
 ```
 
 
@@ -21,7 +21,7 @@ docker run -it -p 5000:5000 tejsukhatme/influenza_estimator:random_forest
 cd into the folder of choice and enter:
 ```commandline
 git pull https://github.com/Hephaestus12/applications.git
-cd applications/gsoc_application_projects/2020/influenza/web/
+cd applications/gsoc_application_projects/2020/influenza/dash/
 ```
 
 ### Prepare the Environment
@@ -40,9 +40,7 @@ pip install -r requirements.txt
 
 ### Running the application
 ```commandline
-export FLASK_APP=influenza_estimator
-export FLASK_ENV=development
-flask run
+python app.py
 ```
 
 Your flask application should be successfully running once this is done.
@@ -58,36 +56,18 @@ Send a GET request to the following Endpoint:
 ```
 
 
-#### GET older influenza ESTIMATE numbers as a JSON file for all countries.
+#### GET older influenza PREDICTED ESTIMATE numbers as a JSON file for all the countries.
 Send a GET request to the following Endpoint:
 ```
 /api/v1.0/all/weekly/estimate/<int:year>/<int:week>/
 ```
 
 
-#### GET older influenza INCIDENCE numbers as a JSON file for all countries.
+#### GET older influenza INCIDENCE numbers as a JSON file for all the countries.
 Send a GET request to the following Endpoint:
 ```
 /api/v1.0/all/weekly/incidence/<int:year>/<int:week>/
 ```
 
 
-#### GET the Live influenza ESTIMATE number as a JSON file for one country.
-Send a GET request to the following Endpoint:
-```
-/api/v1.0/specific/current/<string:country>
-```
-
-
-#### GET the older influenza ESTIMATE number as a JSON file for one country..
-Send a GET request to the following Endpoint:
-```
-/api/v1.0/specific/weekly/estimate/<int:year>/<int:week>/<string:country>
-```
-
-
-#### GET the older influenza INCIDENCE number as a JSON file for one country.
-Send a GET request to the following Endpoint:
-```
-/api/v1.0/specific/weekly/incidence/<int:year>/<int:week>/<string:country>
-```
+This frontend is inspired from one of Plotly Dash's sample projects -----> https://github.com/plotly/dash-sample-apps/tree/master/apps/dash-oil-and-gas

gsoc_application_projects/2020/influenza/dash/app.py

@@ -1,3 +1,11 @@
+# -*- coding: utf-8 -*-
+"""Module starts and runs the web-application.
+
+Author: Tej Sukhatme
+
+"""
+
+# This frontend is inspired from one of Plotly Dash's sample projects - --- -> https: // github.com/plotly/dash-sample-apps/tree/master/apps/dash-oil-and-gas
 # Import required libraries
 import dash
 import pandas as pd
@@ -6,6 +14,7 @@
 import dash_html_components as html
 from datetime import datetime
 import util
+import json
 
 import plotly.express as px
 
@@ -31,7 +40,16 @@
 df = {}
 for country in COUNTRIES:
  df[country] = pd.read_csv('data/final/'+country+'.csv')
-
+ df[country] = df[country].reset_index().set_index('week')
+
+year_disable = [True for i in range(14)]
+country_years = {
+ 'austria': [2012+i for i in range(6)],
+ 'belgium': [2009+i for i in range(11)],
+ 'germany': [2007+i for i in range(13)],
+ 'italy': [2007+i for i in range(13)],
+ 'netherlands': [2009+i for i in range(11)],
+ }
 data = util.DataGateway()
 
 app.layout = html.Div(
@@ -138,26 +156,13 @@
  [
  html.Div(
  [
- html.P(
- "Select years in histogram:",
- className="control_label",
- ),
- dcc.Checklist(
- id="year_selector",
- options=[
- {'label': str(2008+i)+'\t', 'value': str(2008+i)} for i in range(13)
- ],
- value = [],
- labelStyle={"display": "inline-block"},
- className="dcc_control",
- ),
  html.P("Filter by Model:", className="control_label"),
  dcc.RadioItems(
  id="model_selector",
  options=[
  {"label": "Linear Ridge Regression ", "value": "lrr"},
  {"label": "Random Forest Regression ", "value": "rf"},
- {"label": "Poisson Regression ", "value": "p"},
+ {"label": "Poisson Regression ", "value": "p", "disabled":True},
  ],
  value="rf",
  className="dcc_control",
@@ -167,9 +172,9 @@
  id="country_selector",
  options=[
  {"label": "All", "value": "all"},
- {"label": "Custom ", "value": "custom"},
+ # {"label": "Custom ", "value": "custom"},
  ],
- value="productive",
+ value="all",
  labelStyle={"display": "inline-block"},
  className="dcc_control",
  ),
@@ -180,6 +185,19 @@
  value=COUNTRIES,
  className="dcc_control",
  ),
+ html.P(
+ "Select years in histogram:\n(You can only select the years for which data is available)",
+ className="control_label",
+ ),
+ dcc.Checklist(
+ id="year_selector",
+ options=[
+ {'label': str(2007+i)+'\t', 'value': str(2007+i), 'disabled':year_disable[i]} for i in range(14)
+ ],
+ value = ["2015", "2016"],
+ labelStyle={"display": "inline-block"},
+ className="dcc_control",
+ ), 
  ],
  className="pretty_container four columns",
  id="cross-filter-options",
@@ -254,7 +272,7 @@ def update_text(years):
  return estimates['total_count'], estimates['austria_count'], estimates['belgium_count'], estimates['germany_count'], estimates['italy_count'], estimates['netherlands_count']
 
 # Nothing -> main graph
-# Controls What is diaplyed on the main map
+# Controls What is displyed on the main map
 @app.callback(
  Output("main_graph", "figure"),
  [Input("year_selector", "value")],
@@ -281,6 +299,27 @@ def make_main_figure(years):
 
  return fig
 
+
+#countries -> years
+# Controls the list of years available
+@app.callback(
+ Output("year_selector", "options"),
+ [
+ Input("country_names", "value"),
+ ],
+)
+def enable_years(countries):
+
+ year_disable = [True for i in range(14)]
+ for country in countries:
+ for year in country_years[country]:
+ year_disable[year-2007] = False
+
+ print(year_disable)
+ return [{'label': str(2007+i)+'\t', 'value': str(2007+i), 'disabled': year_disable[i]} for i in range(14)]
+
+
+
 #selectors -> histogram
 # Controls the histogram/bar chart
 @app.callback(
@@ -419,6 +458,45 @@ def make_line(model, countries, years):
  return fig
 
 
+
+## REST API
+server = app.server
+
+# @server.route('/')
+# def route1():
+# return jsonify({'message':'this is the first route'})
+
+# Returns the Live influenza PREDICTED ESTIMATE numbers as a JSON file for all the countries.
+@server.route('/api/v1.0/all/current/', methods=['GET'])
+def get_all_current():
+ ans = data.get_incidence()
+ return json.dumps(ans)
+
+
+# Returns older influenza PREDICTED ESTIMATE numbers as a JSON file for all the countries.
+@server.route('/api/v1.0/all/weekly/estimate/<int:year>/<int:week>/', methods=['GET'])
+def get_all_weekly_estimate(year, week):
+ ans = {}
+ week = str(year) + '-' + str(week)
+ for country in COUNTRIES:
+ incidence = df[country].at[week, 'estimate_rf']
+ ans[country] = incidence
+ return json.dumps(ans)
+
+
+# Returns older influenza INCIDENCE numbers as a JSON file for all the countries.
+@server.route('/api/v1.0/all/weekly/incidence/<int:year>/<int:week>/', methods=['GET'])
+def get_all_weekly_incidence(year, week):
+ ans = {}
+ week = str(year) + '-' + str(week)
+ for country in COUNTRIES:
+ incidence = df[country].at[week, 'incidence']
+ ans[country] = incidence
+ return json.dumps(ans)
+
+
+
+
 # Main
 if __name__ == "__main__":
  app.run_server(host='0.0.0.0', debug=False, port=8050)

gsoc_application_projects/2020/influenza/dash/data/current.csv

@@ -1,6 +1,6 @@
 country,level_0,index,Unnamed: 0,last_checked,estimate
-austria,0,0,0,2020-08-26,844.5686933370199
-belgium,1,1,1,2020-08-26,277.96020465846
-germany,2,2,2,2020-08-26,20.208
-italy,3,3,3,2020-08-26,9.302
-netherlands,4,4,4,2020-08-26,88.72925250566
+austria,0,0,0,2020-08-28,757.5273658733
+belgium,1,1,1,2020-08-28,599.9983690378001
+germany,2,2,2,2020-08-28,20.208
+italy,3,3,3,2020-08-28,8.004000000000001
+netherlands,4,4,4,2020-08-28,88.72925250566

gsoc_application_projects/2020/influenza/dash/data/saved.csv

@@ -1,7 +1,17 @@
-,Unnamed: 0,Unnamed: 0.1,Unnamed: 0.1.1,austria,belgium,germany,italy,netherlands,date
-0,0.0,0.0,,844.5686933370198,277.96020465846,20.208,9.302,88.72925250566,
-1,1.0,1.0,,844.5686933370198,277.96020465846,20.208,9.302,88.72925250566,
-2,2.0,,,844.5686933370198,277.96020465846,20.208,9.302,88.72925250566,
-3,3.0,,,844.5686933370198,277.96020465846,20.208,9.302,88.72925250566,
-4,,,,844.5686933370198,277.96020465846,20.208,9.302,88.72925250566,2020-08-26
-5,,,,844.5686933370198,277.96020465846,20.208,9.302,88.72925250566,2020-08-26
+,Unnamed: 0,Unnamed: 0.1,Unnamed: 0.1.1,Unnamed: 0.1.1.1,Unnamed: 0.1.1.1.1,Unnamed: 0.1.1.1.1.1,austria,belgium,germany,italy,netherlands,date
+0,0.0,0.0,0.0,0.0,0.0,,844.5686933370198,277.96020465846,20.208,9.302,88.72925250566,
+1,1.0,1.0,1.0,1.0,1.0,,844.5686933370198,277.96020465846,20.208,9.302,88.72925250566,
+2,2.0,2.0,2.0,2.0,,,844.5686933370198,277.96020465846,20.208,9.302,88.72925250566,
+3,3.0,3.0,3.0,3.0,,,844.5686933370198,277.96020465846,20.208,9.302,88.72925250566,
+4,4.0,4.0,4.0,,,,844.5686933370198,277.96020465846,20.208,9.302,88.72925250566,
+5,5.0,5.0,5.0,,,,844.5686933370198,277.96020465846,20.208,9.302,88.72925250566,
+6,6.0,6.0,,,,,851.0207308266597,515.6326506475001,20.208,8.030000000000001,88.72925250566,
+7,7.0,7.0,,,,,851.0207308266597,515.6326506475001,20.208,8.030000000000001,88.72925250566,
+8,8.0,8.0,,,,,757.5273658733,599.9983690378001,20.208,8.004000000000001,88.72925250566,
+9,9.0,9.0,,,,,757.5273658733,599.9983690378001,20.208,8.004000000000001,88.72925250566,
+10,10.0,10.0,,,,,757.5273658733,599.9983690378001,20.208,8.004000000000001,88.72925250566,
+11,11.0,11.0,,,,,757.5273658733,599.9983690378001,20.208,8.004000000000001,88.72925250566,
+12,12.0,,,,,,757.5273658733,599.9983690378001,20.208,8.004000000000001,88.72925250566,
+13,13.0,,,,,,757.5273658733,599.9983690378001,20.208,8.004000000000001,88.72925250566,
+14,,,,,,,757.5273658733,599.9983690378001,20.208,8.004000000000001,88.72925250566,2020-08-28
+15,,,,,,,757.5273658733,599.9983690378001,20.208,8.004000000000001,88.72925250566,2020-08-28

gsoc_application_projects/2020/influenza/dash/util.py

@@ -1,3 +1,10 @@
+# -*- coding: utf-8 -*-
+"""Utility Functions for web application.
+
+Author: Tej Sukhatme
+
+"""
+
 import copy
 import logging
 from datetime import timedelta, date, datetime