hedonhermdev / bppc-marketplace Goto Github PK

The following queries need to be paginated:

• searchProducts
• allProfiles -> Profiles
• wishlist

Need to have a view which uses ElasticSearch to search for products.

• Let a seller set base price X on product.
• Let potential buyers bid amount >X on product.
• Display highest bid on product.
• Let seller see all bids.
• Let seller select a bid.
• Display details of seller once buyer and seller both agree on the price.

Should configure settings.py to use the database setup by docker-compose.
Adding this here so that we don't forget this.

IMPORTANT

Need to write unit tests to test all models, views, integrations, services, database connections, caches etc.
This is gonna be a long one. Requiring multiple pull requests.

This thread follows discussions regarding the implementation of user notifications on the server.
The current plan for implementation is using Firebase FCM for mobile notifications and SendGrid for email notifications. Combining the APIs with Django signals will trigger the notifications.

Queries that return a list of products, a list of profiles, etc .create an N+1 problem in most cases. The database calls need to be batched for optimization.

Install Black and either

• Run black * before every commit.

or

• Set up black as a pre-commit hook. here

Image model has been added. But we still have to integrate it with the views.

Add a test in test_queries.py for testing the behaviour of the searchProducts query.

GraphQL methods are not being logged like the REST API.

Set up a logger and add logging statements.

Trivial but must be done.

The Product GraphQL type should include a Boolean field called in_wishlist which asserts if a product is included in the User's wishlist.

product(id: 111) {
    id
    name
    in_wishlist
}

Categories should be a model which is a foreign key to Product instead of a choice field.

• Add Q and A model
• Integrate with existing Product, Buyer and Seller models
• Make new views for these or integrate with GraphQL views.