[Bug] Cannot create an index from a source collection in v3

[jacob-petterle]

Is this a new bug in the Pinecone Python client?

• I believe this is a new bug in the Pinecone Python Client
• I have searched the existing issues, and I could not find an existing issue for this bug

Current Behavior

In pinecone v3, neither the ServerlessSpec or the PodSpec allow creating indexes from a source collection even though the docs show that this is possible:
https://docs.pinecone.io/docs/manage-indexes#create-an-index-from-a-collection

Expected Behavior

Be able to create both serverless and pod specs from collections

Steps To Reproduce

1. Create a Pinecone instance
2. Using, pinecone.create_index(), attempt to create either a pod or serverless based index

Relevant log output

NA

Environment

NA

Additional Context

Link to docs

Link to source code that mismatches

[daverigby]

This is now possible as of v3.0.2 of the SDK:

Create indexes using source_collection option in PodSpec

This release resolves a bug when passing source_collection as part of the PodSpec. This option is used when creating a new index from vector data stored in a collection. The value of this field should be a collection you have created previously from an index and that shows with pc.list_collections(). Currently collections and pod-based indexes are not portable across environments.

from pinecone import Pinecone
pc = Pinecone(api_key='YOUR_API_KEY')

pc.create_index(
  name='my-index', 
  dimension=1536, 
  metric='cosine', 
  spec=PodSpec(
      environment='us-east1-gcp', 
      source_collection='collection-2024jan16',
  )
)