A simple flask app that accepts json data and store in mongodb.

This Flask web application listens on port 8080 and has only 2 endpoints, supports two methods: GET and POST.

#####First endpoint The first endpoint accept only POST requests which will have a json payload.

http://hostname:8080/api/

The JSON payload should be like:

{"date": "2015-05-12T14:36:00.451765", "uid": "1", "name": "John Doe", "md5checksum": "e8c83e232b64ce94fdd0e4539ad0d44f"}

or

{"date": "2015-05-13T14:36:00.451765", "uid": "2", "name": "Jane Doe", "md5checksum": "13065eda9a6ab62be1e63276cc7c46b0"} 

The endpoint stores the data in a mongo data store.

Before storing the data it makes sure that the checksum for each JSON object (just fields: date, uid and name) is correct and matches the original checksum in the JSON payload.

######Ordered fields - For Checksum

For instance for the first object in example above, checksum will be checked for json string:

{"date": "2015-05-12T14:36:00.451765", "uid": "1", "name": "John Doe"}

Note: Order of fields only matter for checksum, you can enter data in any order, but checksum will be evaluated according to above order To verify checksum online, use this link: http://www.progs.be/md5.html

#####Second Endpoint The second endpoint accept only GET requests with an uid parameter and a date parameter. Like: http://hostname:8080/api/<uid>/<date>/ (date format: %Y-%m-%d)

This will return the number of occurrences of a given UID for that day.

To deploy in local environment with Vagrant:

• Git
• Vagrant 1.7.4
• Ansible 1.9.4
• VirtualBox 5.0.2

###Steps

1. Install dependencies
2. Clone repo git clone https://github.com/sharma-mohit/flask-mongo.git
3. Go to directory cd flask-mongo
4. Start virtual machine vagrant up
5. Ready to use/test

• Use api like: http://localhost:8080/api/.