Python Flask REST API and JavaScript Chart Visualizer

-A simple proof of concept for two different models on Delinquency: By Year and by FICO.
-Can switch between the two using drop-down menu

DB Connection Info:

-Connected to Local MongoDB:

client = MongoClient('mongodb://localhost:27017')

-Current DB contains the following 2 documents:

{ "_id" : ObjectId("60d8c78d1cb1bd5f83331898"), "predicted" : [ 3, 5, 6, 7, 8 ], "name" : "Delinquency", "actual" : [ 4, 6, 5, 12, 7 ], "xlabel" : "Year", "xvalues" : [ 2005, 2006, 2007, 2008, 2009 ] }

{ "_id" : ObjectId("60d8c7ba1cb1bd5f83331899"), "actual" : [ 7, 6, 4, 5, 3 ], "name" : "Delinquency", "predicted" : [ 9, 8, 6, 4, 2 ], "xlabel" : "FICO", "xvalues" : [ 100, 300, 500, 700, 900 ] }

(Requires MongoDB installation. Please see nonDB branch to run a demo on Fannie Mae computer):

To run locally:

-Download zip file

-Configure Local DB:

-Move the dump folder to your MongoDB bin directorY
-If you already have a dump folder, merge the two folders

Run this command:  mongorestore

-Open another command prompt and run: mongod

-Open another command prompt and run: mongo

-Open another command prompt and cd into templates folder

-Install dependencies:

    pip install Flask flask_pymongo pymongo flask_cors

-Run app.py to launch server

-Open chart.html in a browser