Refactor enhanced_context.py and update requirements.txt

.gitignore

@@ -168,3 +168,4 @@ cython_debug/
 src/**
 requirements.txt
 Pipfile
+enhanced_context.db

examples/enhanced_context.py

@@ -1,19 +1,31 @@
 from datetime import datetime
+import logging
 
 import spacy
 import sqlite3
 
 from _context import simplemind as sm
 
+DB_PATH = "enhanced_context.db"
+
 
 class EnhancedContextPlugin(sm.BasePlugin):
-    def __init__(self):
-        super().__init__()
-        # Initialize NLP model and memory database
-        object.__setattr__(self, "nlp", spacy.load("en_core_web_sm"))
-        object.__setattr__(self, "conn", sqlite3.connect(":memory:"))
+    # Add model configuration to allow arbitrary attributes
+    model_config = {"extra": "allow"}
 
+    def __init__(self):
+        super().__init__()  # Don't forget to call parent's __init__
+        # Set up logging
+        logging.basicConfig(
+            level=logging.INFO, format="%(asctime)s - %(levelname)s - %(message)s"
+        )
+        self.logger = logging.getLogger(__name__)
+
+        # Initialize NLP model and memory database
+        self.nlp = spacy.load("en_core_web_sm")
+        self.conn = sqlite3.connect(DB_PATH)
         self.init_db()
+        self.logger.info(f"EnhancedContextPlugin initialized with database: {DB_PATH}")
 
     def init_db(self):
         # Create a table to store entities and their last mention time
@@ -29,7 +41,6 @@ class EnhancedContextPlugin(sm.BasePlugin):
 
     def store_entity(self, entity):
         # Store or update entity mention time
-        print(f"Storing entity in memory: {entity}")
         with self.conn:
             self.conn.execute(
                 """
@@ -38,6 +49,7 @@ class EnhancedContextPlugin(sm.BasePlugin):
             """,
                 (entity, datetime.now()),
             )
+        self.logger.info(f"Stored entity: {entity}")
 
     def retrieve_recent_entities(self):
         # Retrieve entities mentioned in the last 7 days
@@ -48,7 +60,9 @@ class EnhancedContextPlugin(sm.BasePlugin):
             WHERE last_mentioned >= datetime('now', '-7 days')
         """
         )
-        return [row[0] for row in cur.fetchall()]
+        entities = [row[0] for row in cur.fetchall()]
+        self.logger.info(f"Retrieved recent entities: {entities}")
+        return entities
 
     def extract_entities(self, text):
         # Extract entities (people, places, organizations) from text
@@ -63,40 +77,53 @@ class EnhancedContextPlugin(sm.BasePlugin):
         # Process the latest user message
         last_message = conversation.get_last_message(role="user")
         if last_message:
+            self.logger.info(f"Processing message: {last_message.text}")
+
             # Extract entities and store in memory
             entities = self.extract_entities(last_message.text)
-
-            print(f"Extracted entities: {entities}")
-            for entity in entities:
-                self.store_entity(entity)
+            if entities:
+                self.logger.info(f"Extracted entities: {entities}")
+                for entity in entities:
+                    self.store_entity(entity)
+            else:
+                self.logger.info("No entities found in message")
 
             # Retrieve recent entities for context
             recent_entities = self.retrieve_recent_entities()
-
             if recent_entities:
-                print(f"Recent entities found: {recent_entities}")
-
                 context_message = f"Here are some topics recently discussed: {', '.join(recent_entities)}. Feel free to bring them up if relevant."
                 conversation.add_message(role="system", text=context_message)
+                self.logger.info(
+                    f"Added context message with entities: {recent_entities}"
+                )
 
 
-# Create a conversation and add the plugin
-conversation = sm.create_conversation(llm_model="gpt-4o-mini", llm_provider="openai")
-conversation.add_plugin(EnhancedContextPlugin())
+# Replace the example usage code at the bottom with this chat interface:
+def main():
+    # Create a conversation and add the plugin
+    conversation = sm.create_conversation(llm_model="gpt-4", llm_provider="openai")
+    conversation.add_plugin(EnhancedContextPlugin())
 
+    print("Chat interface ready! Type 'quit' to exit.")
+    print("-" * 50)
 
-# Replace the single message test with an interactive chat loop
-def chat():
-    print("Welcome to the enhanced context chat! Type 'quit' to exit.")
     while True:
+        # Get user input
         user_input = input("\nYou: ").strip()
-        if user_input.lower() in ["quit", "exit"]:
+
+        # Check for quit command
+        if user_input.lower() in ["quit", "exit", "q"]:
+            print("\nGoodbye!")
             break
 
+        # Add user message and get response
         conversation.add_message(role="user", text=user_input)
         response = conversation.send()
-        print(f"\nAssistant: {response.text!r}")
+
+        # Print assistant's response
+        print("\nAssistant:", response)
+        print("-" * 50)
 
 
 if __name__ == "__main__":
-    chat()
+    main()