Refactoring vectordb naming convention in embedchain.config (#1469)

embedchain/config/vector_db/zilliz.py

@@ -0,0 +1,49 @@
+import os
+from typing import Optional
+
+from embedchain.config.vector_db.base import BaseVectorDbConfig
+from embedchain.helpers.json_serializable import register_deserializable
+
+
+@register_deserializable
+class ZillizDBConfig(BaseVectorDbConfig):
+    def __init__(
+        self,
+        collection_name: Optional[str] = None,
+        dir: Optional[str] = None,
+        uri: Optional[str] = None,
+        token: Optional[str] = None,
+        vector_dim: Optional[str] = None,
+        metric_type: Optional[str] = None,
+    ):
+        """
+        Initializes a configuration class instance for the vector database.
+
+        :param collection_name: Default name for the collection, defaults to None
+        :type collection_name: Optional[str], optional
+        :param dir: Path to the database directory, where the database is stored, defaults to "db"
+        :type dir: str, optional
+        :param uri: Cluster endpoint obtained from the Zilliz Console, defaults to None
+        :type uri: Optional[str], optional
+        :param token: API Key, if a Serverless Cluster, username:password, if a Dedicated Cluster, defaults to None
+        :type token: Optional[str], optional
+        """
+        self.uri = uri or os.environ.get("ZILLIZ_CLOUD_URI")
+        if not self.uri:
+            raise AttributeError(
+                "Zilliz needs a URI attribute, "
+                "this can either be passed to `ZILLIZ_CLOUD_URI` or as `ZILLIZ_CLOUD_URI` in `.env`"
+            )
+
+        self.token = token or os.environ.get("ZILLIZ_CLOUD_TOKEN")
+        if not self.token:
+            raise AttributeError(
+                "Zilliz needs a token attribute, "
+                "this can either be passed to `ZILLIZ_CLOUD_TOKEN` or as `ZILLIZ_CLOUD_TOKEN` in `.env`,"
+                "if having a username and password, pass it in the form 'username:password' to `ZILLIZ_CLOUD_TOKEN`"
+            )
+
+        self.metric_type = metric_type if metric_type else "L2"
+
+        self.vector_dim = vector_dim
+        super().__init__(collection_name=collection_name, dir=dir)