removed https requirement from client

Author: kkopczynski-cyborg

cyborgdb/client/client.py

@@ -86,14 +86,9 @@ class Client:
     """
 
     def __init__(self, api_url, api_key, verify_ssl=None):
-        # Ensure the API URL uses HTTPS
+        # If api_url is http, disable SSL verification
         if api_url.startswith('http://'):
-            api_url = api_url.replace('http://', 'https://')
-            logger.warning(f"Automatically converted HTTP URL to HTTPS: {api_url}")
-        
-        # Validate that the URL uses HTTPS
-        if not api_url.startswith('https://'):
-            raise ValueError("API URL must use HTTPS protocol")
+            verify_ssl = False
 
         # Set up the OpenAPI client configuration
         self.config = Configuration()

cyborgdb/client/encrypted_index.py

@@ -240,7 +240,6 @@ def train(
             batch_size: Size of each batch for training. Default is 2048.
             max_iters: Maximum iterations for training. Default is 100.
             tolerance: Convergence tolerance for training. Default is 1e-6.
-            max_memory: Maximum memory (MB) usage during training. Default is 0 (no limit).
             
         Note:
             There must be at least 2 * n_lists vector embeddings in the index prior to calling

cyborgdb/integrations/langchain.py

@@ -84,7 +84,6 @@ def __init__(
             index_config_params: Optional[Dict[str, Any]] = None,
             dimension: Optional[int] = None, 
             metric: str = "cosine",
-            max_cache_size: int = 0,
             verify_ssl: Optional[bool] = None
         ) -> None:
             """
@@ -103,7 +102,6 @@ def __init__(
                 index_config_params: Additional index configuration parameters
                 dimension: Embedding dimension (auto-detected if not provided)
                 metric: Distance metric - "cosine", "euclidean", or "squared_euclidean"
-                max_cache_size: Maximum cache size for the index
                 verify_ssl: SSL verification (None for auto-detect, True/False to override)
                 
             Raises:
@@ -113,7 +111,6 @@ def __init__(
 
             self.index_name = index_name
             self.index_key = index_key
-            self.max_cache_size = max_cache_size
 
             # Set up embedding model
             self._setup_embedding_model(embedding)
@@ -171,8 +168,7 @@ def _load_existing_index(self) -> None:
                 index_name=self.index_name,
                 index_key=self.index_key,
                 api=self.client.api,
-                api_client=self.client.api_client,
-                max_cache_size=self.max_cache_size
+                api_client=self.client.api_client
             )
 
         def _create_new_index(
@@ -195,8 +191,7 @@ def _create_new_index(
                 index_name=self.index_name,
                 index_key=self.index_key,
                 index_config=config,
-                embedding_model=self.embedding_model_name if self.embedding_model_name else None,
-                max_cache_size=self.max_cache_size
+                embedding_model=self.embedding_model_name if self.embedding_model_name else None
             )
 
         def _detect_embedding_dimension(self) -> int:
@@ -775,7 +770,6 @@ def from_texts(
             index_type = kwargs.pop("index_type", "ivfflat")
             metric = kwargs.pop("metric", "cosine")
             dimension = kwargs.pop("dimension", None)
-            max_cache_size = kwargs.pop("max_cache_size", 0)
             verify_ssl = kwargs.pop("verify_ssl", None)
 
             # Handle index config
@@ -795,7 +789,6 @@ def from_texts(
                 index_config_params=index_config_params,
                 dimension=dimension,
                 metric=metric,
-                max_cache_size=max_cache_size,
                 verify_ssl=verify_ssl
             )
 

tests/basic_integration_tests.py

@@ -137,7 +137,7 @@ def setUpClass(cls):
         # CYBORDB SETUP: Create the index once (shared state).
         cls.index_config = cyborgdb.IndexIVFFlat(dimension=cls.dimension, n_lists=512, metric="euclidean")
         cls.client = cyborgdb.Client(
-            api_url="https://localhost:8000",
+            api_url="http://localhost:8000",
             api_key=os.getenv("CYBORGDB_API_KEY", "")
         )
         cls.index_name = "memory_example_index19"

tests/test_client.py

@@ -22,7 +22,7 @@ def setUp(self):
         """Set up the test environment."""
         # Create real client (no mocking)
         self.client = Client(
-            api_url="https://localhost:8000",
+            api_url="http://localhost:8000",
             api_key=os.getenv("CYBORGDB_API_KEY", "")
         )
 

tests/test_langchain_integration.py

@@ -459,7 +459,7 @@ def test_09_as_retriever(self):
         )
 
         # Use retriever
-        docs = retriever.get_relevant_documents("What is deep learning?")
+        docs = retriever.invoke("What is deep learning?")
 
         self.assertEqual(len(docs), 3)
         for doc in docs: