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Once #4407 is resolved, we can focus on including more bugs in the training set for the Fenix component model. Ideally, once we train the Fenix component model on GeckoView...

benjaminmah

This would be helpful in cases where we need to include more data, but these data do not represent what the model will be exposed to once it is deployed...

suhaibmujahid

Added initial tests for repository._transform.

1

Also added comments re. failed tests for repository._transform. This is for #384

flowejam

So we can drop the custom code from db.py, and also we should have improved performance.

marco-c

Include relevant non-Fenix bugs to the training set of the Fenix model

5

_Suggested by @marco-c:_ >For the Fenix model, we should try adding GeckoView too as a potential target some of the Fenix bugs end up in GeckoView We could make this...

suhaibmujahid

Currently, the function `rollback()` that restores a bug its initial version does not handle changes to the product and component: https://github.com/mozilla/bugbug/blob/b7b96b574408f48e23b41cfbfabe4c650850e097/bugbug/bug_snapshot.py#L584 Adding the product and component could also help resolve...

benjaminmah

For badly triaged components, there is a risk that bugbot moves a bug to the component and then nobody moves it to a better place. Over time, this can bias...

marco-c

Sometimes bugs filed in Fenix::General are moved to the GeckoView product.

marco-c

Figure out how to handle additional comments in the component model

3

At the moment, the model rolls back to the time the bug was filed. In some bugs though, more information is available (e.g. the reporter might add more comments, someone...

marco-c

We currently use the Qdrant client directly. Using the LangChain integration would simplify the interface. Docs: https://docs.langchain.com/oss/python/integrations/vectorstores/qdrant

suhaibmujahid