A project for CRUD operations made using Flask, Mongo and Elastic
This project covers making a small website for CRUD operations using:
- Flask (a python microframework).
- MongoDB (a document database), used for storing the data.
- Elastic (search server based on Lucene), used for indexing and searching the data.
- Bootstrap (front-end framework), for user interface.
For running this project first install Python, MongoDB, Pymongo, Flask and Elastic.
And make sure MongoDB is listening on port 27017 and Elastic on port 9200.
Then move to etlMongo folder and run etl.py.
python etl.py
This will insert some into MongoDB database, db name will be gov and collection name drdo.
Data will be inserted from raw.json file, which contains some random DRDO dataset containing four fields.
Cadre, No of Employees, Employee Type, Year.
While inserting into Mongo a _id field will be added which we can use as Id field.
Now move to bulkElastic folder and run bulk.py.
python bulk.py
This will put data into Elastic with index name drdoindex and document type drdo.
It will use data.txt to index the data, which is the same dataset we used to insert into Mongo.
Now for running the application run app.py.
python app.py
After running app.py your application will start listening on http://localhost:5000/ and you should see Welcome screen.
From here you can use different buttons to do CRUD.
You can also login as admin using http://localhost:5000/login/ (Username = admin, Password = admin) to see the Mongo query shell.
You can also perform search using Search button.