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{
"cells": [
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Pinged your deployment. You successfully connected to MongoDB!\n"
]
}
],
"source": [
"from core.chat.chatstore import ChatStore\n",
"from pymongo.mongo_client import MongoClient\n",
"from dotenv import load_dotenv\n",
"import os\n",
"\n",
"load_dotenv()\n",
"# uri = \"mongodb+srv://summariz:[email protected]/?retryWrites=true&w=majority&appName=Cluster0\"\n",
"uri = os.getenv(\"MONGO_URI\")\n",
"client = MongoClient(uri)\n",
"\n",
"try:\n",
" client.admin.command('ping')\n",
" print(\"Pinged your deployment. You successfully connected to MongoDB!\")\n",
"except Exception as e:\n",
" print(e)"
]
},
{
"cell_type": "code",
"execution_count": 9,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"[{'role': 'user', 'content': 'hallo', 'additional_kwargs': {}},\n",
" {'role': 'assistant',\n",
" 'content': 'Halo! Ada yang bisa saya bantu hari ini, dok? 😊',\n",
" 'metadata': []}]"
]
},
"execution_count": 9,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"chat_store = ChatStore()\n",
"session_id = \"dfe69118-355b-4276-adc8-0a82e5706f44\"\n",
"chat_history = chat_store.get_messages(session_id)\n",
"chat_history"
]
},
{
"cell_type": "code",
"execution_count": 10,
"metadata": {},
"outputs": [],
"source": [
"db = client['bot_database'] # Replace with your database name\n",
"collection = db['bot'] # Replace with your collection name"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"result = collection.insert_many(chat_history)"
]
},
{
"cell_type": "code",
"execution_count": 11,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Data inserted with record ids [ObjectId('67060bd6c8ffb964976540a5'), ObjectId('67060bd6c8ffb964976540a6')]\n"
]
}
],
"source": [
"# Print the IDs of the inserted documents\n",
"print(\"Data inserted with record ids\", result.inserted_ids)"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"[{'role': 'system',\n",
" 'content': 'halo',\n",
" 'timestamp': datetime.datetime(2024, 10, 10, 11, 18, 10, 779000)},\n",
" {'role': 'assistant',\n",
" 'content': 'Halo! 😊 Ada yang bisa saya bantu hari ini, dok? Jika ada pertanyaan tentang kedokteran atau kesehatan, silakan tanyakan saja!',\n",
" 'metadata': [],\n",
" 'timestamp': datetime.datetime(2024, 10, 10, 11, 18, 10, 779000)}]"
]
},
"execution_count": 4,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# Select your database\n",
"db = client['bot_database'] # Replace with your database name\n",
"\n",
"# Select your collection\n",
"collection = db['6fd735b8-a814-47ce-8427-a7bbe4c14ec6'] # Replace with your collection name\n",
"\n",
"# Retrieve all documents from the collection\n",
"documents = collection.find()\n",
"\n",
"# Convert the cursor to a list and exclude the _id field\n",
"documents_list = [{key: doc[key] for key in doc if key != '_id' and doc[key] is not None} for doc in documents]\n",
"\n",
"# Print the list of documents without the _id field\n",
"documents_list"
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Collection 'bot' exists in the database 'bot_database'.\n",
"Doing something because the collection exists.\n"
]
}
],
"source": [
"def check_collection_exists(db_name, collection_name):\n",
" # Connect to the MongoDB server\n",
" db = client[db_name]\n",
"\n",
" # Check if the collection exists\n",
" if collection_name in db.list_collection_names():\n",
" print(f\"Collection '{collection_name}' exists in the database '{db_name}'.\")\n",
" # Perform your desired action here\n",
" do_something()\n",
" else:\n",
" print(f\"Collection '{collection_name}' does not exist in the database '{db_name}'.\")\n",
"\n",
"def do_something():\n",
" # Define the action you want to perform\n",
" print(\"Doing something because the collection exists.\")\n",
"\n",
"# Example usage\n",
"check_collection_exists('bot_database', \"bot\")"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Test Redis"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"The collection 'test' does not exists.\n"
]
}
],
"source": [
" \n",
"import redis\n",
"from dotenv import load_dotenv\n",
"import os\n",
"\n",
"load_dotenv()\n",
"\n",
"redis_client = redis.Redis(\n",
" host=\"redis-10365.c244.us-east-1-2.ec2.redns.redis-cloud.com\",\n",
" port=10365,\n",
" password=os.environ.get(\"REDIS_PASSWORD\"),\n",
")\n",
"\n",
"session_id =\"test\"\n",
" \n",
"if redis_client.exists(session_id):\n",
" print(f\"The collection '{session_id}' exists.\")\n",
"else: \n",
" print(f\"The collection '{session_id}' does not exists.\")\n"
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<starlette.responses.JSONResponse at 0x1e94fe62850>"
]
},
"execution_count": 7,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"from core.chat.chatstore import ChatStore\n",
"\n",
"chat_store = ChatStore()\n",
"\n",
"\n",
"session_id = \"6fd735b8-a814-47ce-8427-a7bbe4c14ec6\"\n",
"\n",
"chat_store.add_chat_history_to_redis(session_id)"
]
},
{
"cell_type": "code",
"execution_count": 11,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Collection(Database(MongoClient(host=['cluster0-shard-00-00.bw0sr.mongodb.net:27017', 'cluster0-shard-00-02.bw0sr.mongodb.net:27017', 'cluster0-shard-00-01.bw0sr.mongodb.net:27017'], document_class=dict, tz_aware=False, connect=True, retrywrites=True, w='majority', appname='Cluster0', authsource='admin', replicaset='atlas-ukfsmn-shard-0', ssl=True), 'bot_database'), '6fd735b8-a814-47ce-8427-a7bbe4c14ec6')\n",
"[{'role': 'system', 'content': 'halo'}, {'role': 'assistant', 'content': 'Halo! 😊 Ada yang bisa saya bantu hari ini, dok? Jika ada pertanyaan tentang kedokteran atau kesehatan, silakan tanyakan saja!', 'metadata': []}]\n"
]
},
{
"data": {
"text/plain": [
"True"
]
},
"execution_count": 11,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"import json\n",
"import redis\n",
"from service.dto import ChatMessage\n",
"\n",
"redis_client = redis.Redis(\n",
" host=\"redis-10365.c244.us-east-1-2.ec2.redns.redis-cloud.com\",\n",
" port=10365,\n",
" password=os.environ.get(\"REDIS_PASSWORD\"),\n",
")\n",
"\n",
"def message_to_dict(message: ChatMessage) -> dict:\n",
" return message.model_dump()\n",
"\n",
"session_id = \"6fd735b8-a814-47ce-8427-a7bbe4c14ec6\"\n",
"db = client[\"bot_database\"]\n",
"collection = db[session_id]\n",
"\n",
"print(collection)\n",
"\n",
"chat_history = collection.find()\n",
"chat_history_list = [\n",
" {key: message[key] for key in message if key not in ['_id', 'timestamp'] and message[key] is not None}\n",
" for message in chat_history if message is not None\n",
"]\n",
"\n",
"print(chat_history_list)\n",
"\n",
"for message in chat_history_list:\n",
" # Convert MongoDB document to the format you need\n",
" item = json.dumps(message_to_dict(ChatMessage(**message))) # Convert message to dict\n",
" redis_client.rpush(session_id, item)\n",
" \n",
"redis_client.expire(session_id, time=86400)"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "fullstack",
"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": "3.11.9"
}
},
"nbformat": 4,
"nbformat_minor": 2
}
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