diff --git a/backend/Notebook/test.ipynb b/backend/Notebook/test.ipynb new file mode 100644 index 000000000..dcc51cc06 --- /dev/null +++ b/backend/Notebook/test.ipynb @@ -0,0 +1,135 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "True" + ] + }, + "execution_count": 1, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "import os\n", + "from dotenv import load_dotenv\n", + "\n", + "load_dotenv()" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [], + "source": [ + "import openai" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "'https://api.openai.com/v1'" + ] + }, + "execution_count": 3, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "openai.api_base" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "'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'" + ] + }, + "execution_count": 4, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "openai.api_key" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "In a magical forest, a brave little unicorn named Sparkle embarked on adventurous quests during the day and, as night fell, would sleep under a blanket of twinkling stars with her dreams filled with rainbows and shooting stars.\n" + ] + } + ], + "source": [ + "import openai\n", + "\n", + "# openai.api_key = 'your-api-key'\n", + "\n", + "completion = openai.ChatCompletion.create(\n", + " model=\"gpt-4\", # Correct model name\n", + " messages=[\n", + " {\n", + " \"role\": \"user\",\n", + " \"content\": \"Write a one-sentence bedtime story about a unicorn.\"\n", + " }\n", + " ]\n", + ")\n", + "\n", + "print(completion['choices'][0]['message']['content'])\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "dev", + "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": "3.10.16" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/backend/backend/settings.py b/backend/backend/settings.py index 9de4f024a..2c7017090 100644 --- a/backend/backend/settings.py +++ b/backend/backend/settings.py @@ -13,6 +13,9 @@ import os from pathlib import Path +import pymysql +pymysql.install_as_MySQLdb() + from dotenv import load_dotenv load_dotenv() @@ -30,7 +33,7 @@ # SECURITY WARNING: don't run with debug turned on in production! DEBUG = True -ALLOWED_HOSTS = [] +ALLOWED_HOSTS = ["*"] # Application definition @@ -47,6 +50,7 @@ "authentication", "chat", "gpt", + # "accounts", ] MIDDLEWARE = [ @@ -84,10 +88,27 @@ # Database # https://docs.djangoproject.com/en/4.2/ref/settings/#databases +# "default": { +# "ENGINE": "django.db.backends.sqlite3", +# "NAME": BASE_DIR / "db.sqlite3", +# }, +# "default": { +# "ENGINE": "django.db.backends.postgresql", +# "NAME": os.environ["POSTGRES_DB_NAME"], +# "USER": os.environ["POSTGRES_SQL_USER"], +# "PASSWORD": os.environ["POSTGRES_SQL_PASSWD"], +# "HOST": os.environ["POSTGRES_HOST"], +# "PORT": os.environ["POSTGRES_PORT"], +# }, + DATABASES = { "default": { - "ENGINE": "django.db.backends.sqlite3", - "NAME": BASE_DIR / "db.sqlite3", + "ENGINE": "django.db.backends.mysql", + "NAME": os.environ["MYSQL_DB_NAME"], + "USER": os.environ["MYSQL_DB_USER"], + "PASSWORD": os.environ["MYSQL_DB_PASSWORD"], + "HOST": os.environ["MYSQL_DB_HOST"], + "PORT": os.environ["MYSQL_DB_PORT"], } } @@ -138,14 +159,24 @@ DEFAULT_AUTO_FIELD = "django.db.models.BigAutoField" CORS_ALLOWED_ORIGINS = [ - FRONTEND_URL, + FRONTEND_URL, 'http://localhost:3000', ] CORS_ALLOW_CREDENTIALS = True CSRF_TRUSTED_ORIGINS = [ - FRONTEND_URL, + FRONTEND_URL, 'http://localhost:3000', ] SESSION_COOKIE_SECURE = True CSRF_COOKIE_SECURE = True CSRF_COOKIE_SAMESITE = "None" + +# Cron JOB +CRONJOBS = [ + ('0 0 * * *', 'django.core.management.call_command', 'cleanup_old_conversations'), # Run at midnight every day +] + + +#login url +# LOGIN_URL = '/admin/login/' + diff --git a/backend/chat/management/commands/cleanup_old_conversations.py b/backend/chat/management/commands/cleanup_old_conversations.py new file mode 100644 index 000000000..c2856b14b --- /dev/null +++ b/backend/chat/management/commands/cleanup_old_conversations.py @@ -0,0 +1,23 @@ +from django.core.management.base import BaseCommand +from django.utils import timezone +from datetime import timedelta +from backend.chat.models import Conversation # Import your Conversation model + +class Command(BaseCommand): + help = 'Clean up old conversations that haven\'t been modified in the last 6 months.' + + def handle(self, *args, **kwargs): + # Define the cutoff date (6 months ago) + six_months_ago = timezone.now() - timedelta(days=6*30) # Approx 6 months + + # Query conversations that haven't been modified since the cutoff date + old_conversations = Conversation.objects.filter(modified_at__lte=six_months_ago, deleted_at__isnull=True) + + # If there are old conversations, delete them + if old_conversations.exists(): + # You can choose to soft delete or hard delete. Here we are hard deleting. + old_conversations.delete() + + self.stdout.write(self.style.SUCCESS(f'Successfully deleted {old_conversations.count()} old conversations.')) + else: + self.stdout.write(self.style.SUCCESS('No old conversations found to delete.')) diff --git a/backend/chat/migrations/0002_conversation_is_pinned_conversation_summary.py b/backend/chat/migrations/0002_conversation_is_pinned_conversation_summary.py new file mode 100644 index 000000000..f860024d4 --- /dev/null +++ b/backend/chat/migrations/0002_conversation_is_pinned_conversation_summary.py @@ -0,0 +1,22 @@ +# Generated by Django 5.0.2 on 2025-03-13 11:10 + +from django.db import migrations, models + + +class Migration(migrations.Migration): + dependencies = [ + ("chat", "0001_initial"), + ] + + operations = [ + migrations.AddField( + model_name="conversation", + name="is_pinned", + field=models.BooleanField(default=False), + ), + migrations.AddField( + model_name="conversation", + name="summary", + field=models.TextField(blank=True, default="", null=True), + ), + ] diff --git a/backend/chat/migrations/0003_remove_conversation_is_pinned.py b/backend/chat/migrations/0003_remove_conversation_is_pinned.py new file mode 100644 index 000000000..665295ad8 --- /dev/null +++ b/backend/chat/migrations/0003_remove_conversation_is_pinned.py @@ -0,0 +1,16 @@ +# Generated by Django 5.0.2 on 2025-03-13 12:00 + +from django.db import migrations + + +class Migration(migrations.Migration): + dependencies = [ + ("chat", "0002_conversation_is_pinned_conversation_summary"), + ] + + operations = [ + migrations.RemoveField( + model_name="conversation", + name="is_pinned", + ), + ] diff --git a/backend/chat/models.py b/backend/chat/models.py index 242788f14..60ec4becb 100644 --- a/backend/chat/models.py +++ b/backend/chat/models.py @@ -23,6 +23,10 @@ class Conversation(models.Model): deleted_at = models.DateTimeField(null=True, blank=True) user = models.ForeignKey(CustomUser, on_delete=models.CASCADE) + + # New field for conversation summary + summary = models.TextField(null=True, blank=True, default="") # New summary field + def __str__(self): return self.title diff --git a/backend/gpt/views.py b/backend/gpt/views.py index e9c81cb2e..15aaf6f88 100644 --- a/backend/gpt/views.py +++ b/backend/gpt/views.py @@ -1,8 +1,44 @@ -from django.contrib.auth.decorators import login_required +# from django.contrib.auth.decorators import login_required +# from django.http import JsonResponse, StreamingHttpResponse +# from rest_framework.decorators import api_view + +# from src.utils.gpt import get_conversation_answer, get_gpt_title, get_simple_answer + + +# @api_view(["GET"]) +# def gpt_root_view(request): +# return JsonResponse({"message": "GPT endpoint works!"}) + + +# @login_required +# @api_view(["POST"]) +# def get_title(request): +# data = request.data +# title = get_gpt_title(data["user_question"], data["chatbot_response"]) +# return JsonResponse({"content": title}) + + +# @login_required +# @api_view(["POST"]) +# def get_answer(request): +# data = request.data +# return StreamingHttpResponse(get_simple_answer(data["user_question"], stream=True), content_type="text/html") + + +# @login_required +# @api_view(["POST"]) +# def get_conversation(request): +# data = request.data +# return StreamingHttpResponse( +# get_conversation_answer(data["conversation"], data["model"], stream=True), content_type="text/html" +# ) + + + from django.http import JsonResponse, StreamingHttpResponse from rest_framework.decorators import api_view -from src.utils.gpt import get_conversation_answer, get_gpt_title, get_simple_answer +from src.utils.gpt import get_conversation_answer, get_gpt_title, get_simple_answer, update_conversation_summary @api_view(["GET"]) @@ -10,7 +46,6 @@ def gpt_root_view(request): return JsonResponse({"message": "GPT endpoint works!"}) -@login_required @api_view(["POST"]) def get_title(request): data = request.data @@ -18,17 +53,16 @@ def get_title(request): return JsonResponse({"content": title}) -@login_required @api_view(["POST"]) def get_answer(request): data = request.data return StreamingHttpResponse(get_simple_answer(data["user_question"], stream=True), content_type="text/html") -@login_required @api_view(["POST"]) def get_conversation(request): data = request.data return StreamingHttpResponse( get_conversation_answer(data["conversation"], data["model"], stream=True), content_type="text/html" ) + diff --git a/backend/src/libs/__init__.py b/backend/src/libs/__init__.py index 214cf63db..502a0ec87 100644 --- a/backend/src/libs/__init__.py +++ b/backend/src/libs/__init__.py @@ -8,5 +8,5 @@ openai.api_type = os.getenv("OPENAI_API_TYPE") openai.api_base = os.getenv("OPENAI_API_BASE") -openai.api_version = os.getenv("OPENAI_API_VERSION") +openai.Model = os.getenv("OPENAI_API_MODEL") openai.api_key = os.getenv("OPENAI_API_KEY") diff --git a/backend/src/utils/gpt.py b/backend/src/utils/gpt.py index f8a4aa023..fc666402f 100644 --- a/backend/src/utils/gpt.py +++ b/backend/src/utils/gpt.py @@ -1,6 +1,6 @@ from dataclasses import dataclass - from src.libs import openai +from chat.models import Conversation GPT_40_PARAMS = dict( temperature=0.7, @@ -8,29 +8,28 @@ frequency_penalty=0, presence_penalty=0, stop=None, - stream=False, + stream=True, ) - @dataclass class GPTVersion: name: str - engine: str - + model: str GPT_VERSIONS = { - "gpt35": GPTVersion("gpt35", "gpt-35-turbo-0613"), - "gpt35-16k": GPTVersion("gpt35-16k", "gpt-35-turbo-16k"), - "gpt4": GPTVersion("gpt4", "gpt-4-0613"), - "gpt4-32k": GPTVersion("gpt4-32k", "gpt4-32k-0613"), + "gpt35": GPTVersion("gpt35", "gpt-3.5-turbo"), + "gpt35-16k": GPTVersion("gpt35-16k", "gpt-3.5-turbo-16k"), + "gpt4": GPTVersion("gpt4", "gpt-4"), + "gpt4-32k": GPTVersion("gpt4-32k", "gpt-4-32k"), } + def get_simple_answer(prompt: str, stream: bool = True): kwargs = {**GPT_40_PARAMS, **dict(stream=stream)} for resp in openai.ChatCompletion.create( - engine=GPT_VERSIONS["gpt35"].engine, + model=GPT_VERSIONS["gpt35"].model, messages=[{"role": "system", "content": "You are a helpful assistant."}, {"role": "user", "content": prompt}], **kwargs, ): @@ -42,6 +41,7 @@ def get_simple_answer(prompt: str, stream: bool = True): yield chunk + def get_gpt_title(prompt: str, response: str): sys_msg: str = ( "As an AI Assistant your goal is to make very short title, few words max for a conversation between user and " @@ -51,7 +51,7 @@ def get_gpt_title(prompt: str, response: str): usr_msg = f'user_question: "{prompt}"\n' f'chatbot_response: "{response}"' response = openai.ChatCompletion.create( - engine=GPT_VERSIONS["gpt35"].engine, + model=GPT_VERSIONS["gpt35"].model, messages=[{"role": "system", "content": sys_msg}, {"role": "user", "content": usr_msg}], **GPT_40_PARAMS, ) @@ -62,10 +62,10 @@ def get_gpt_title(prompt: str, response: str): def get_conversation_answer(conversation: list[dict[str, str]], model: str, stream: bool = True): kwargs = {**GPT_40_PARAMS, **dict(stream=stream)} - engine = GPT_VERSIONS[model].engine + model_name = GPT_VERSIONS[model].model for resp in openai.ChatCompletion.create( - engine=engine, + model=model_name, messages=[{"role": "system", "content": "You are a helpful assistant."}, *conversation], **kwargs, ): @@ -75,3 +75,42 @@ def get_conversation_answer(conversation: list[dict[str, str]], model: str, stre chunk = choices.pop()["delta"].get("content") if chunk: yield chunk + + +# generate summary +def generate_summary(conversation: list[dict[str, str]], model: str): + sys_msg = "You are an AI that summarizes conversations concisely. Your task is to create a brief summary of the conversation." + messages = [{"role": "system", "content": sys_msg}] + conversation + + model_name = GPT_VERSIONS[model].model + + response = openai.ChatCompletion.create( + model=model_name, + messages=messages, + **GPT_40_PARAMS, + ) + + summary = response["choices"][0]["message"]["content"].strip() + + return summary + +# Function to update the conversation with the summary +def update_conversation_summary(conversation_id: str, model: str): + conversation = Conversation.objects.get(id=conversation_id) # Fetch the conversation + # Assuming that conversation.messages is a list of message dictionaries + conversation_summary = generate_summary(conversation.messages, model) # Generate the summary + conversation.summary = conversation_summary # Update the summary field + conversation.save() # Save the updated conversation + print(conversation) + + +def get_conversation_summary(conversation_id: str): + try: + conversation = Conversation.objects.get(id=conversation_id) # Fetch the conversation by its ID + if conversation.summary: + print(conversation.summary) + return conversation.summary # Return the summary if available + else: + return "No summary available." # Return a default message if no summary exists + except Conversation.DoesNotExist: + return "Conversation not found." # Return an error message if the conversation is not found \ No newline at end of file diff --git a/frontend/package-lock.json b/frontend/package-lock.json index 253dd797c..d284a8607 100644 --- a/frontend/package-lock.json +++ b/frontend/package-lock.json @@ -11,13 +11,13 @@ "@reduxjs/toolkit": "^1.9.5", "axios": "^1.6.0", "js-cookie": "^3.0.5", - "next": "latest", + "next": "^15.2.2", "openai": "^4.7.1", "react": "18.2.0", "react-dom": "18.2.0", "react-modal": "^3.16.1", "react-redux": "^8.1.2", - "react-syntax-highlighter": "^15.5.0", + "react-syntax-highlighter": "^15.6.1", "redux-thunk": "^2.4.2", "uuid": "^9.0.1" }, @@ -26,9 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"redux-thunk": "^2.4.2", "uuid": "^9.0.1" },