take out gcp logging from default

docs/docs/index.md

@@ -37,7 +37,7 @@ All dependencies:
 pip install sunholo[all]
 ```
 
-Data base functions:
+Database functions:
 
 ```sh
 pip install sunholo[database]
@@ -66,3 +66,20 @@ APIs
 ```sh
 pip install sunholo[apis]
 ```
+
+Sunholo is derived from the Edmonbrain project, the original blog post you can read here: https://code.markedmondson.me/running-llms-on-gcp/ and owes a lot to Langchain ( https://github.com/langchain-ai/langchain )
+
+The package includes:
+
+* `agents/` - functions for working with agents, including easy flask apps, parsing chat history and dispatching requests to different agent endpoints
+* `archive/` - functions to record all Q&A activity to BigQuery via PubSub
+* `bots/` - functions for special cases regarding frontend bots such as GChat, Web Apps, Discord and Slack
+* `chunker/` - functions to slice up documents for sending into vector stores
+* `components/` - functions to help configure which LLM, prompt, vectorstore or document retriever you will use based on a yaml config file
+* `database/` - database setup functions and SQL to run on those sources such as Supabase or PostgreSQL
+* `embedder/` - functions to send chunks into embedding vector stores
+* `pubsub/` - use of PubSub for a message queue between components
+* `qna/` - utilities for running agents such as retry strats and parsing of output/input
+* `streaming/` - creation of streaming responses from LLM bots
+* `summarise/` - creation of summaries of large documents
+* `utils/` - reading configuration files, Google Cloud Platform metadata

setup.py

@@ -1,7 +1,7 @@
 from setuptools import setup, find_packages
 
 # Define your base version
-version = '0.50.12'
+version = '0.50.13'
 
 setup(
     name='sunholo',
@@ -25,7 +25,6 @@
         "langchain",
         "langchain_experimental",
         "langchain-community",
-        "google-cloud-logging", #logging init
         # Add the minimal dependencies that your package requires here
     ],
     extras_require={

sunholo/logging.py

@@ -37,7 +37,7 @@ def __new__(cls, project_id=None, log_level=logging.INFO, logger_name=None):
     def __init__(self, project_id=None, log_level=logging.INFO, logger_name=None):
         if not hasattr(self, 'initialized'):  # Avoid re-initialization
             self.project_id = project_id or get_gcp_project()
-            self.client = Client(project=self.project_id) if is_running_on_gcp() else None
+            self.client = Client(project=self.project_id)
             self.logger_name = logger_name
             self.log_level = log_level
             self.initialized = True  # Mark as initialized
@@ -220,9 +220,13 @@ def setup_logging(logger_name=None, log_level=logging.INFO, project_id=None):
     if logger_name is None:
         logger_name = "sunholo"
 
-    # Instantiate the GoogleCloudLogging class
-    gc_logger = GoogleCloudLogging(project_id, log_level=log_level, logger_name=logger_name)
-
+    if Client:
+        # Instantiate the GoogleCloudLogging class
+        gc_logger = GoogleCloudLogging(project_id, log_level=log_level, logger_name=logger_name)
+    else:
+        print("Could not find GoogleCloudLogging Client, install via `pip install google-cloud-logging`")
+        return logger
+
     # Setup logging and return the logger instance
     return gc_logger.setup_logging()