Refactor langflow template field base.py to improve code readability and maintainability.
- Import additional types from langflow.helpers.custom and langflow.type_extraction.type_extraction modules.
- Add field_validator method to validate field_type.
- Convert type to string if it is a type instance.
- Raise ValueError if type is not a string or a type instance.
- CassandraVectorStoreComponent;
- CouchbaseVectorStoreComponent;
- FaissVectorStoreComponent;
- MongoVectorStoreComponent;
- PGVectorStoreComponent;
- PineconeVectorStoreComponent;
- QdrantVectorStoreComponent;
- SupabaseVectorStoreComponent;
- UpstashVectorStoreComponent;
- VectaraVectorStoreComponent;
- WeaviateVectorStoreComponent;
Fixes:
- set token of CassandraVectorStoreComponent as secret;
- set couchbase_password of CouchbaseVectorStoreComponent
as secret;
- set mongodb_atlas_cluster_uri of MongoVectorStoreCompon
ent as secret;
- set pg_server_url of PGVectorStoreComponent as secret;
- set pinecone_api_key of PineconeVectorStoreComponent as
secret;
- set api_key of QdrantVectorStoreComponent as secret;
- set supabase_service_key of SupabaseVectorStoreComponen
t as secret;
- set index_token of UpstashVectorStoreComponent as secre
t;
- set vectara_api_key of VectaraVectorStoreComponent as s
ecret;
- set api_key of WeaviateVectorStoreComponent as secret;
🔧 (pyproject.toml): update version to "1.0.0rc0" for the 'langflow' package
🔧 (pyproject.toml): update version to "0.0.73" for the 'langflow-base' package
🔧 (pyproject.toml): remove 'python-socketio' dependency and update other dependencies to specific versions
♻️ (service.py): Refactor variable declarations and type annotations for better code readability and maintainability
📝 (service.py): Update method signatures and type annotations for better clarity and consistency
📝 (log.py): add LoggableType to define the type of log messages in the schema
📝 (schema.py): import LoggableType from log.py to use in defining the type of log messages in the Log class
📝 (service.py): add asyncio functionality to log_worker method for processing logs asynchronously
📝 (service.py): add start, flush, and stop methods to manage the logging worker task asynchronously
📝 (service.py): change initialize_tracers method to be asynchronous and start the logging worker
📝 (service.py): add async functionality to end method to stop the logging worker
📝 (service.py): change add_log method to be asynchronous and use asyncio to start the logging worker if not running
📝 (service.py): change contextmanager to asynccontextmanager for trace_context method to handle asynchronous operations
