Minor fixes after LiteLLM merge

Author: gotsysdba

.gitignore

@@ -8,6 +8,7 @@
 **/THIRD_PARTY_LICENSES.txt
 sbin/**
 **/*.bak
+**/*.delete
 **/tmp/**
 **/temp/**
 **/chatbot_graph.png

opentofu/locals.tf

@@ -5,7 +5,7 @@
 // Housekeeping
 locals {
   compartment_ocid = var.compartment_ocid != "" ? var.compartment_ocid : var.tenancy_ocid
-  label_prefix     = var.label_prefix != "" ? lower(var.label_prefix) : lower(substr(random_pet.label.id, 0, 12))
+  label_prefix = var.label_prefix != "" ? substr(lower(var.label_prefix), 0, 12) : substr(lower(random_pet.label.id), 0, 12)
 }
 
 

src/Dockerfile

@@ -11,7 +11,7 @@ ENV TOKENIZERS_PARALLELISM=true \
     RUNUSER=oracleai
 
 RUN microdnf --nodocs -y update && \
-    microdnf --nodocs -y install python3.11 python3.11-pip && \
+    microdnf --nodocs -y install python3.11 python3.11-pip sqlcl && \
     microdnf clean all && \
     python3.11 -m venv --symlinks --upgrade-deps /opt/.venv && \
     groupadd $RUNUSER && \

src/client/content/config/tabs/databases.py

@@ -22,16 +22,17 @@
 #####################################################
 # Functions
 #####################################################
-def get_databases(validate: bool = False, force: bool = False) -> None:
+def get_databases(force: bool = False) -> None:
     """Get Databases from API Server"""
     if force or "database_configs" not in state or not state.database_configs:
         try:
             logger.info("Refreshing state.database_configs")
             # Validation will be done on currently configured client database
             # validation includes new vector_stores, etc.
-            if validate:
-                client_database = state.client_settings.get("database", {}).get("alias", {})
-                _ = api_call.get(endpoint=f"v1/databases/{client_database}")
+            client_database = state.client_settings.get("database", {}).get("alias", {})
+            _ = api_call.get(endpoint=f"v1/databases/{client_database}")
+
+            # Update state
             state.database_configs = api_call.get(endpoint="v1/databases")
         except api_call.ApiError as ex:
             logger.error("Unable to populate state.database_configs: %s", ex)
@@ -66,7 +67,7 @@ def patch_database(name: str, supplied: dict, connected: bool) -> bool:
 def drop_vs(vs: dict) -> None:
     """Drop a Vector Storage Table"""
     api_call.delete(endpoint=f"v1/embed/{vs['vector_store']}")
-    get_databases(validate=True, force=True)
+    get_databases(force=True)
 
 
 def select_ai_profile() -> None:

src/client/content/config/tabs/settings.py

@@ -4,7 +4,7 @@
 
 This script allows importing/exporting configurations using Streamlit (`st`).
 """
-# spell-checker:ignore streamlit, mvnw, obaas, ollama
+# spell-checker:ignore streamlit mvnw obaas ollama vllm
 
 import time
 import os
@@ -159,7 +159,7 @@ def spring_ai_conf_check(ll_model: dict, embed_model: dict) -> str:
 
     ll_provider = ll_model.get("provider", "")
     embed_provider = embed_model.get("provider", "")
-    logger.info(f"llm chat:{ll_provider} - embeddings:{embed_provider}")
+    logger.info("llm chat: %s - embeddings: %s", ll_provider, embed_provider)
     if all("hosted_vllm" in p for p in (ll_provider, embed_provider)):
         return "hosted_vllm"
     if all("openai" in p for p in (ll_provider, embed_provider)):
@@ -345,8 +345,8 @@ def display_settings():
         embed_config = {}
     spring_ai_conf = spring_ai_conf_check(ll_config, embed_config)
 
-    logger.info(f"config found:{spring_ai_conf}")
-    
+    logger.info("config found: %s", spring_ai_conf)
+
     if spring_ai_conf == "hybrid":
         st.markdown(f"""
             The current configuration combination of embedding and language models
@@ -365,15 +365,14 @@ def display_settings():
                 disabled=spring_ai_conf == "hybrid",
             )
         with col_centre:
-            if (spring_ai_conf != "hosted_vllm"):
+            if spring_ai_conf != "hosted_vllm":
                 st.download_button(
                     label="Download SpringAI",
                     data=spring_ai_zip(spring_ai_conf, ll_config, embed_config),  # Generate zip on the fly
                     file_name="spring_ai.zip",  # Zip file name
                     mime="application/zip",  # Mime type for zip file
                     disabled=spring_ai_conf == "hybrid",
                 )
-            
 
 
 if __name__ == "__main__":

src/client/content/tools/tabs/split_embed.py

@@ -391,7 +391,7 @@ def display_split_embed() -> None:
                 )
             st.success(f"Vector Store Populated: {response['message']}", icon="✅")
             # Refresh database_configs state to reflect new vector stores
-            get_databases(validate=True, force=True)
+            get_databases(force=True)
         except api_call.ApiError as ex:
             st.error(ex, icon="🚨")
 

src/common/logging_config.py

@@ -4,9 +4,11 @@
 
 Default Logging Configuration
 """
+# pylint: disable=too-few-public-methods
 # spell-checker:ignore levelname inotify openai httpcore fsevents litellm
 
 import os
+import asyncio
 import logging
 from logging.config import dictConfig
 from common._version import __version__
@@ -20,6 +22,30 @@ def filter(self, record):
         return True
 
 
+class PrettifyCancelledError(logging.Filter):
+    """Filter that keeps the log but removes the traceback and replaces the message."""
+
+    def _contains_cancelled(self, exc: BaseException) -> bool:
+        if isinstance(exc, asyncio.CancelledError):
+            return True
+        if hasattr(exc, "exceptions") and isinstance(exc, BaseExceptionGroup):  # type: ignore[name-defined]
+            return any(self._contains_cancelled(e) for e in exc.exceptions)  # type: ignore[attr-defined]
+        return False
+
+    def filter(self, record: logging.LogRecord) -> bool:
+        exc_info = record.__dict__.get("exc_info")
+        if not exc_info:
+            return True
+        _, exc, _ = exc_info
+        if exc and self._contains_cancelled(exc):
+            # Strip the traceback and make it pretty
+            record.exc_info = None
+            record.msg = "Shutdown cancelled — graceful timeout exceeded."
+            record.levelno = logging.WARNING
+            record.levelname = logging.getLevelName(logging.WARNING)
+        return True
+
+
 # Standard formatter
 FORMATTER = {
     "format": "%(asctime)s (v%(__version__)s) - %(levelname)-8s - (%(name)s): %(message)s",
@@ -33,9 +59,8 @@ def filter(self, record):
         "standard": FORMATTER,
     },
     "filters": {
-        "version_filter": {
-            "()": VersionFilter,
-        },
+        "version_filter": {"()": VersionFilter},
+        "prettify_cancelled": {"()": PrettifyCancelledError},
     },
     "handlers": {
         "default": {
@@ -56,13 +81,19 @@ def filter(self, record):
             "level": LOG_LEVEL,
             "handlers": ["default"],
             "propagate": False,
+            "filters": ["prettify_cancelled"],
         },
         "uvicorn.access": {
             "level": LOG_LEVEL,
             "handlers": ["default"],
             "propagate": False,
         },
-        "asyncio": {"level": LOG_LEVEL, "handlers": ["default"], "propagate": False},
+        "asyncio": {
+            "level": LOG_LEVEL,
+            "handlers": ["default"],
+            "propagate": False,
+            "filters": ["prettify_cancelled"],
+        },
         "watchdog.observers.inotify_buffer": {"level": "INFO", "handlers": ["default"], "propagate": False},
         "PIL": {"level": "INFO", "handlers": ["default"], "propagate": False},
         "fsevents": {"level": "INFO", "handlers": ["default"], "propagate": False},

src/pyproject.toml

@@ -17,16 +17,17 @@ dependencies = [
     "langchain-core==0.3.75",
     "httpx==0.28.1",
     "oracledb~=3.1",
-    "plotly==6.2.0",
+    "plotly==6.3.0",
 ]
 
 [project.optional-dependencies]
 # Server component dependencies
 server = [
     "bokeh==3.8.0",
     "evaluate==0.4.5",
-    "fastapi==0.116.1",
     "faiss-cpu==1.12.0",
+    "fastapi==0.116.1",
+    "fastmcp==2.12.0",
     "giskard==2.18.0",
     "langchain-anthropic==0.3.19",
     "langchain-azure-ai==0.1.5",
@@ -39,12 +40,13 @@ server = [
     "langchain-groq==0.3.7",
     "langchain-huggingface==0.3.1",
     "langchain-mistralai==0.2.11",
+    "langchain-mcp-adapters==0.1.9",
     "langchain-ollama==0.3.7",
     "langchain-openai==0.3.32",
     "langchain-perplexity==0.1.2",
     "langchain-xai==0.2.5",
     "langgraph==0.6.6",
-    "litellm==1.76.1",
+    "litellm==1.76.1", 
     "llama-index==0.13.3",
     "lxml==6.0.0",
     "matplotlib==3.10.6",

src/server/Dockerfile

@@ -12,7 +12,7 @@ ENV RUNUSER=oracleai
 ENV PATH=/opt/.venv/bin:$PATH
 
 RUN microdnf --nodocs -y update && \
-    microdnf --nodocs -y install python3.11 python3.11-pip && \
+    microdnf --nodocs -y install python3.11 python3.11-pip sqlcl && \
     microdnf clean all && \
     python3.11 -m venv --symlinks --upgrade-deps /opt/.venv && \
     groupadd $RUNUSER && \

src/server/api/core/databases.py

@@ -51,65 +51,3 @@ def delete_database(name: DatabaseNameType) -> None:
     """Remove database from database objects"""
     database_objects = bootstrap.DATABASE_OBJECTS
     bootstrap.DATABASE_OBJECTS = [d for d in database_objects if d.name != name]
-
-
-#     for db in database_objects:
-#         if name and db.name != name:
-#             continue
-#         if validate:
-#             try:
-#                 db_conn = connect(db)
-#                 db.vector_stores = get_vs(db_conn)
-#                 db.selectai = selectai_enabled(db_conn)
-#                 if db.selectai:
-#                     db.selectai_profiles = get_selectai_profiles(db_conn)
-#             except Exception as ex:
-#                 logger.debug("Skipping Database %s - exception: %s", db.name, str(ex))
-#                 db.connected = False
-#         if name:
-#             return db  # Return the matched, connected DB immediately
-
-#     if name:
-#         # If we got here with a `name` then we didn't find it
-#         raise ValueError(f"{name} not found")
-
-#     return database_objects
-
-
-# create_database
-
-
-# delete_database
-
-
-# def get_databases(
-#     name: Optional[DatabaseNameType] = None, validate: bool = True
-# ) -> Union[list[Database], Database, None]:
-#     """
-#     Return all Database objects if `name` is not provided,
-#     or the single Database if `name` is provided and successfully connected.
-#     If a `name` is provided and not found, raise exception
-#     """
-#     database_objects = bootstrap.DATABASE_OBJECTS
-
-#     for db in database_objects:
-#         if name and db.name != name:
-#             continue
-#         if validate:
-#             try:
-#                 db_conn = connect(db)
-#                 db.vector_stores = get_vs(db_conn)
-#                 db.selectai = selectai_enabled(db_conn)
-#                 if db.selectai:
-#                     db.selectai_profiles = get_selectai_profiles(db_conn)
-#             except Exception as ex:
-#                 logger.debug("Skipping Database %s - exception: %s", db.name, str(ex))
-#                 db.connected = False
-#         if name:
-#             return db  # Return the matched, connected DB immediately
-
-#     if name:
-#         # If we got here with a `name` then we didn't find it
-#         raise ValueError(f"{name} not found")
-
-#     return database_objects