Your job is to build a small data pipeline that simulates the ingestion of a product inventory from a point-of-sale system (POS), often times unclean and unstructured, into iheartjane, where a structured and standardized list of products is maintained.

Specifically the data pipeline should read a list of POS products from pos/products.json and attempt to match each POS product against the iheartjane canonical database of products as represented by the sqlite3 file db/jane.db. Note that not all POS products exist in the iheartjane database: some POS products exist in the iheartjane database, others don't.

You have complete autonomy to process POS products however you see fit in order to optimize the lookup operation to match POS products against iheartjane products. You also have complete autonomy as to how the lookup operation is implemented.

Lastly the data pipeline should return a csv file that lists all ingested POS products along with the jane product id if the lookup/match was successful, i.e. id column in products table. If the lookup was not successful (because the logic needs to be further tuned or the POS product simply does not exist in the iheartjane database), no product id should be specified.

• The POS product ids (productId key in pos/products.json) are POS specific and thus have no relationship with the id column in db/jane.db. Do not try to match POS products with iheartjane products using these fields. Instead you'll need to leverage other POS fields such as category and productName to attempt to find a strong match in the iheartjane database. Remember also that some POS products do not have a match in the iheartjane database.
• We're looking for a modular and extensible architecture or pattern that can easily integrate other POS systems and provide a foundation for a scalable cloud-based solution. This as opposed to an ad-hoc script that does the job but only that specific job, i.e. ingest the provided pos/products.json file. Therefore pay particular attention to the design, code structure, techniques and tools you use and don't spend too much time fine tuning low level code to match as many products as possible.
• We use python and we'd love to see you use it too (only if you've use it in the past).
• We do not expect you to use other major pieces of software such as pub/sub, streaming or storage systems. Libraries that can easily be installed with a package manager such as pip (for Python) are fine to use.
• Your solution should be able to be run from the command line. Please include appropriate scripts and instructions for running your application and your tests, if any.

If you have any questions, feel free to contact your sponsor at Jane. Good luck and have fun!

The iheartjane database is already provided under db/jane.db so you should not have to rebuild it. However, for reference, here are the instructions to do so.

cd db
virtualenv venv -p python3.7
source venv/bin/activate
pip install -r requirements.txt
python seed.py