release

.gitignore

@@ -2,6 +2,6 @@ venv/
 __pycache__/
 *.py[cod]
 *$py.class
-superclient.egg-info
 build/
-dist/
+dist/
+superstream_clients.egg-info/

DEVELOPMENT.md

@@ -42,7 +42,7 @@ This installs the package in "editable" mode and enables automatic loading, whic
 ## Uninstallation
 
 ```bash
-pip uninstall superclient && find venv/lib/python*/site-packages -name "superclient-init.pth" -delete && rm -rf build/ dist/ superclient.egg-info/ && find . -name "*.pyc" -delete && find . -name "__pycache__" -type d -exec rm -rf {} +
+pip uninstall superstream-clients && find venv/lib/python*/site-packages -name "superclient-init.pth" -delete && rm -rf build/ dist/ superstream_clients.egg-info/ && find . -name "*.pyc" -delete && find . -name "__pycache__" -type d -exec rm -rf {} +
 ```
 
 This single command:

README.md

@@ -80,7 +80,7 @@ The Superstream library needs to modify your producer's configuration to apply o
 ## Installation
 
 ```bash
-pip install superclient && python -m superclient install_pth
+pip install superstream-clients && python -m superclient install_pth
 ```
 
 That's it! Superclient will now automatically load and optimize all Kafka producers in your Python environment.
@@ -114,7 +114,7 @@ When using Superstream Clients with containerized applications, include the pack
 FROM python:3.8-slim
 
 # Install superclient
-RUN pip install superclient
+RUN pip install superstream-clients
 RUN python -m superclient install_pth
 
 # Your application code

examples/requirements.txt

@@ -1,4 +1,4 @@
-kafka-python==2.0.2
+kafka-python==2.2.14
 confluent-kafka==2.3.0
 aiokafka==0.10.0 
 aws-msk-iam-sasl-signer-python==1.0.2

pyproject.toml

@@ -4,7 +4,7 @@ build-backend = "setuptools.build_meta"
 
 [project]
 name = "superstream-clients"
-version = "0.1.0"
+version = "0.1.5"
 description = "Superstream optimisation library for Kafka producers"
 authors = [{name = "Superstream Labs", email = "support@superstream.ai"}]
 license = "Apache-2.0"

superclient/__init__.py

@@ -1,7 +1,7 @@
 from importlib.metadata import PackageNotFoundError, version as _pkg_version
 
 try:
-    __version__ = _pkg_version("superclient")
+    __version__ = _pkg_version("superstream-clients")
 except PackageNotFoundError:
     # Fallback for when the package isn't installed (e.g. running from source without editable install)
     __version__ = "0.0.0"

superclient/agent/__init__.py

@@ -19,9 +19,6 @@
     set_debug_enabled(True)
 
 logger = get_logger("agent")
-logger.info("Superstream Agent initialized with environment variables: {}", _ENV_VARS)
-if is_disabled():
-    logger.warn("Superstream functionality disabled via SUPERSTREAM_DISABLED")
 
 # Preserve reference to built-in import function
 _original_import = builtins.__import__
@@ -47,7 +44,12 @@ def _patch_module(module_name: str) -> None:
             # Check if Producer exists before patching
             confluent_module = sys.modules["confluent_kafka"]
             if hasattr(confluent_module, "Producer"):
-                patch_confluent(confluent_module)
+                # Additional check to ensure we can safely patch
+                try:
+                    patch_confluent(confluent_module)
+                except Exception as patch_exc:
+                    logger.error("[ERR-003] Failed to patch confluent_kafka Producer: {}", patch_exc)
+                    # Don't re-raise, just log the error
     except Exception as exc:
         logger.error("[ERR-001] Failed to patch {}: {}", module_name, exc)
 
@@ -93,6 +95,12 @@ def initialize():
     2. Schedules patching of any pre-imported modules
     3. Starts the heartbeat thread
     """
+
+    # Log initialization message
+    logger.info("Superstream Agent initialized with environment variables: {}", _ENV_VARS)
+    if is_disabled():
+        logger.warn("Superstream functionality disabled via SUPERSTREAM_DISABLED")
+
     if is_disabled():
         return