Add dependency injection container in a notebook proof-of-concept

notebooks/container.ipynb

@@ -0,0 +1,102 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Loading Dependency Injection Container in Jupyter Notebook"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from ctp_slack_bot.containers import Container\n",
+    "from ctp_slack_bot.services import VectorDatabaseService\n",
+    "\n",
+    "container = Container()\n",
+    "container.wire(packages=['ctp_slack_bot'])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "\u001b[32m2025-04-19 16:43:46.927\u001b[0m | \u001b[34m\u001b[1mDEBUG   \u001b[0m | \u001b[36mctp_slack_bot.core.config\u001b[0m:\u001b[36m__init__\u001b[0m:\u001b[36m14\u001b[0m - \u001b[34m\u001b[1mCreated Settings\u001b[0m\n"
+     ]
+    },
+    {
+     "data": {
+      "text/plain": [
+       "Settings(LOG_LEVEL='INFO', LOG_FORMAT='json', SCHEDULER_TIMEZONE='America/New_York', SLACK_BOT_TOKEN=SecretStr('**********'), SLACK_APP_TOKEN=SecretStr('**********'), EMBEDDING_MODEL='text-embedding-3-small', VECTOR_DIMENSION=1536, CHUNK_SIZE=1000, CHUNK_OVERLAP=200, TOP_K_MATCHES=5, MONGODB_URI=SecretStr('**********'), MONGODB_NAME='ctp_slack_bot', SCORE_THRESHOLD=0.5, HF_API_TOKEN=SecretStr('**********'), OPENAI_API_KEY=SecretStr('**********'), CHAT_MODEL='gpt-3.5-turbo', MAX_TOKENS=150, TEMPERATURE=0.8, SYSTEM_PROMPT=\"You are a helpful teaching assistant for a data science class.\\nBased on the students question, you will be given context retreived from class transcripts and materials to answer their question.\\nYour responses should be:\\n\\n1. Accurate and based on the class content\\n2. Clear and educational\\n3. Concise but complete\\nIf you're unsure about something, acknowledge it and suggest asking the professor.\", GOOGLE_PROJECT_ID='voltaic-reducer-294821', GOOGLE_PRIVATE_KEY_ID=SecretStr('**********'), GOOGLE_PRIVATE_KEY=SecretStr('**********'), GOOGLE_CLIENT_ID='102943207835073856980', GOOGLE_CLIENT_EMAIL='[email protected]', GOOGLE_AUTH_URI='https://accounts.google.com/o/oauth2/auth', GOOGLE_TOKEN_URI='https://oauth2.googleapis.com/token', GOOGLE_AUTH_PROVIDER_CERT_URL='https://www.googleapis.com/oauth2/v1/certs', GOOGLE_CLIENT_CERT_URL='https://www.googleapis.com/robot/v1/metadata/x509/ctp-slack-bot-714%40voltaic-reducer-294821.iam.gserviceaccount.com', GOOGLE_UNIVERSE_DOMAIN='googleapis.com', FILE_MONITOR_ROOT_PATH='Transcripts/Friday Building AI Applications Session')"
+      ]
+     },
+     "execution_count": 2,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "container.settings()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "\u001b[32m2025-04-19 16:45:25.997\u001b[0m | \u001b[34m\u001b[1mDEBUG   \u001b[0m | \u001b[36mctp_slack_bot.core.config\u001b[0m:\u001b[36m__init__\u001b[0m:\u001b[36m14\u001b[0m - \u001b[34m\u001b[1mCreated Settings\u001b[0m\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "\u001b[32m2025-04-19 16:45:25.999\u001b[0m | \u001b[1mINFO    \u001b[0m | \u001b[36mctp_slack_bot.db.mongo_db\u001b[0m:\u001b[36minit\u001b[0m:\u001b[36m175\u001b[0m - \u001b[1mInitializing MongoDB connection for database: ctp_slack_bot\u001b[0m\n",
+      "\u001b[32m2025-04-19 16:45:25.999\u001b[0m | \u001b[34m\u001b[1mDEBUG   \u001b[0m | \u001b[36mctp_slack_bot.db.mongo_db\u001b[0m:\u001b[36m__init__\u001b[0m:\u001b[36m26\u001b[0m - \u001b[34m\u001b[1mCreated MongoDB\u001b[0m\n",
+      "\u001b[32m2025-04-19 16:45:25.999\u001b[0m | \u001b[34m\u001b[1mDEBUG   \u001b[0m | \u001b[36mctp_slack_bot.db.mongo_db\u001b[0m:\u001b[36mconnect\u001b[0m:\u001b[36m32\u001b[0m - \u001b[34m\u001b[1mConnecting to MongoDB using URI: mongodb+srv://ctp-slack-bot.xkipuvm.mongodb.net/?retryWrites=true&w=majority&appName=ctp-slack-bot\u001b[0m\n",
+      "\u001b[32m2025-04-19 16:45:26.000\u001b[0m | \u001b[34m\u001b[1mDEBUG   \u001b[0m | \u001b[36mctp_slack_bot.db.mongo_db\u001b[0m:\u001b[36mconnect\u001b[0m:\u001b[36m49\u001b[0m - \u001b[34m\u001b[1mMongoDB client initialized for database: ctp_slack_bot\u001b[0m\n",
+      "\u001b[32m2025-04-19 16:45:26.279\u001b[0m | \u001b[34m\u001b[1mDEBUG   \u001b[0m | \u001b[36mctp_slack_bot.db.mongo_db\u001b[0m:\u001b[36mping\u001b[0m:\u001b[36m85\u001b[0m - \u001b[34m\u001b[1mMongoDB connection is active!\u001b[0m\n",
+      "\u001b[32m2025-04-19 16:45:26.280\u001b[0m | \u001b[1mINFO    \u001b[0m | \u001b[36mctp_slack_bot.db.mongo_db\u001b[0m:\u001b[36m_test_connection\u001b[0m:\u001b[36m186\u001b[0m - \u001b[1mMongoDB connection test successful!\u001b[0m\n",
+      "\u001b[32m2025-04-19 16:45:26.280\u001b[0m | \u001b[34m\u001b[1mDEBUG   \u001b[0m | \u001b[36mctp_slack_bot.services.vector_database_service\u001b[0m:\u001b[36m__init__\u001b[0m:\u001b[36m21\u001b[0m - \u001b[34m\u001b[1mCreated VectorDatabaseService\u001b[0m\n"
+     ]
+    }
+   ],
+   "source": [
+    "vector_database_service: VectorDatabaseService = container.vector_database_service()"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": ".venv",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.12.3"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}