Bulk Delete by array of UUID strings

[levi-katarok]

Describe the bug
Unable to delete using a .filter('in", array_of_ids)

To Reproduce
Steps to reproduce the behavior:

1. Create a supabase python client (mine is under)
   self.commons['supabase']
2. Have an array of uuids represented as strings ex:
   vector_ids = ["aed10938-65db-4678-8438-cf7684eaefd7", "94a58004-7f19-4e79-b189-0824e55d4c8a"]
3. First I tried
   self.commons['supabase'].table('brains_vectors').delete().filter('vector_id', "in", vector_ids).execute()

The error:

raise APIError(r.json())
postgrest.exceptions.APIError: {'code': 'PGRST100', 'details': 'unexpected "[" expecting "("', 'hint': None, 'message': '"failed to parse filter

5. Then I tried
   self.commons['supabase'].table('brains_vectors').delete().filter('vector_id', "in", tuple(vector_ids)).filter('brain_id', 'eq', self.id).execute()

The error:
postgrest.exceptions.APIError: {'code': '22P02', 'details': None, 'hint': None, 'message': 'invalid input syntax for type uuid: "\'6eafc10e-6e1d-44c6-9ba9-99f2044b30d0\'"'}

I wasn't able to convert those strings to double quotes without python changing them to single quotes.

Expected behavior
I was hoping to be able to bulk delete a bunch of vector ids for an LLM application. Right now it takes ~0.5 seconds per vector to delete in a for loop. For a 1MB file with 237 vectors, it feels like 2 mins in a long time.

Screenshots.

Desktop (please complete the following information):

• OS: Mac OS Ventura
• IDE: Visual Studio Code

Additional context
Supabase version: supabase==1.0.3

If anyone knows how to do this bulk delete any help is greatly appreciated. I'm happy to help makes the changes or add to documentation as well!

Thanks!