Features

• Generate report for top50 songs listened per day in respective country
• Generate report for top50 songs listened by user per day
• Logger has been implemented, any exception will be logged in app.log file
• Test cases has been added for all functions
• Application continues even if the log file for specific date doesn't exist however application logs in app.log for further tracing.

How to Run

1. Install used packages as

pip install -r requirements.txt

2. Run Application

python run.py -t "user_top_50" ## to generate user's top 50 songs
python run.py -t "country_top_50_song" ## to generate country top 50 songs

Run Test Cases

pytest

Input

Input file is expected to be as inside directory data/input/

Output

Output will be generated inside directory data/output as

Benchmark

	Feature	Number of Records	Multiprocessing	Multithreading	Tested Machine
1	country wise top 50 songs	1999998	~8 Sec	~34 Sec	MacBook Pro Processor 2.2GHz Quad-Core Intel Core i7 Memory 16GM 1600 MHz DDR3
2	user wise top 50 songs	1999998	~9 Sec	~34 Sec	MacBook Pro Processor 2.2GHz Quad-Core Intel Core i7 Memory 16GM 1600 MHz DDR3

Improvement

• Counting of the country and user's top 50 songs can be done in single pass which will take less time in comparison with doing individually. However, I have treated as individual feature.
• If this functionality needs to be accessed from any user interface, then it needs to be handled in background jobs by means of celery, redis etc..