Cataloguing

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What is Cataloguing? The objective of Cataloguing is to maintain a universal product catalogue for the various items that we receive in order to make better decisions in the future. Example: Whether the product is dangerous with respect to shipment in the air. This would help to compare actual/client given/manifest weights versus predicted weights.

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How to use the service?

Predictions

To create feature vectors for each product in a particular category, provide input the delhivery category ID. Or Create an object of class Sentence with input as a string and call the function getNouns on it.

Usage:

1. From command line: python processData.py delhivery_category_id

   delhivery_category_id: INTEGER

2. Create an instance of class Sentence and invoke getNouns() tokenize = Sentence(“Moto G 2nd Generation, a brilliant display, stereo sound.......”) tokenize.getNouns()

Products

The function getProducts takes input as delhivery category ID(INTEGER) and count of products required (INTEGER)

Usage:

1. From command line: python fetchProducts delhivery_category_id count

   delhivery_category_id - INTEGER count - INTEGER

2. Import function getProducts with parameters delhivery_category_id and count.

Example Usage:

getProducts(20,10)

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Prerequisites

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Products table should exist in the database. Run Products/database/InitialiseDB.py to perform following operations:

1. Create and Insert data into Channel_Category_Mapping and Category Tables.

2. Update Products table

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Database

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To change or add database details, go to database folder under Products/ and modify dbInfo.py:

1. Database

2. Collections