From 21dc10800b697a11889c682de7d78dafd7aa03ea Mon Sep 17 00:00:00 2001 From: Arghya721 Date: Mon, 8 Jul 2024 01:13:56 +0530 Subject: [PATCH] refactor: Implement lazy loading for images in DashboardV2 and update chat route --- app.py | 281 +++++++++++++++++++++-------- web/src/components/PlansModal.js | 177 ++++++++++++------ web/src/images/congratulations.gif | Bin 0 -> 971349 bytes 3 files changed, 327 insertions(+), 131 deletions(-) create mode 100644 web/src/images/congratulations.gif diff --git a/app.py b/app.py index 561daa7..5edf530 100644 --- a/app.py +++ b/app.py @@ -139,33 +139,114 @@ class SubscriptionRequest(BaseModel): redirect_url: str model_company_mapping = { - "gpt-3.5-turbo": ChatOpenAI, - "gpt-4-turbo-preview": ChatOpenAI, - "gpt-4": ChatOpenAI, - "gpt-4o": ChatOpenAI, - "claude-3-opus-20240229" : ChatAnthropic, - "claude-3-sonnet-20240229" : ChatAnthropic, - "claude-3-haiku-20240307" : ChatAnthropic, - "mistral-tiny-2312": ChatMistralAI, - "mistral-small-2312": ChatMistralAI, - "mistral-small-2402": ChatMistralAI, - "mistral-medium-2312": ChatMistralAI, - "mistral-large-2402": ChatMistralAI, - "gemini-1.0-pro": ChatGoogleGenerativeAI, - "gemini-1.5-flash-latest": ChatGoogleGenerativeAI, - "gemini-1.5-pro-latest": ChatGoogleGenerativeAI, - "sonar-small-chat": ChatPerplexity, - "sonar-small-online": ChatPerplexity, - "sonar-medium-chat" : ChatPerplexity, - "sonar-medium-online" : ChatPerplexity, - "codellama/CodeLlama-34b-Instruct-hf": ChatTogether, - "codellama/CodeLlama-70b-Instruct-hf": ChatTogether, - "meta-llama/Llama-2-13b-chat-hf": ChatTogether, - "meta-llama/Llama-2-70b-chat-hf": ChatTogether, - "meta-llama/Llama-3-8b-chat-hf" : ChatTogether, - "meta-llama/Llama-3-70b-chat-hf": ChatTogether, - "google/gemma-2b-it": ChatTogether, - "google/gemma-7b-it": ChatTogether, + "gpt-3.5-turbo": { + "model" : ChatOpenAI, + "premium" : False, + }, + "gpt-4-turbo-preview": { + "model" : ChatOpenAI, + "premium" : True, + }, + "gpt-4": { + "model" : ChatOpenAI, + "premium" : True, + }, + "gpt-4o": { + "model" : ChatOpenAI, + "premium" : True, + }, + "claude-3-opus-20240229" : { + "model" : ChatAnthropic, + "premium" : True, + }, + "claude-3-sonnet-20240229" : { + "model" : ChatAnthropic, + "premium" : True, + }, + "claude-3-haiku-20240307" : { + "model" : ChatAnthropic, + "premium" : False, + }, + "mistral-tiny-2312": { + "model" : ChatMistralAI, + "premium" : False, + }, + "mistral-small-2312": { + "model" : ChatMistralAI, + "premium" : False, + }, + "mistral-small-2402": { + "model" : ChatMistralAI, + "premium" : False, + }, + "mistral-medium-2312": { + "model" : ChatMistralAI, + "premium" : True, + }, + "mistral-large-2402": { + "model" : ChatMistralAI, + "premium" : True, + }, + "gemini-1.0-pro": { + "model" : ChatGoogleGenerativeAI, + "premium" : False, + }, + "gemini-1.5-flash-latest": { + "model" : ChatGoogleGenerativeAI, + "premium" : False, + }, + "gemini-1.5-pro-latest": { + "model" : ChatGoogleGenerativeAI, + "premium" : True, + }, + "sonar-small-chat": { + "model" : ChatPerplexity, + "premium" : False, + }, + "sonar-small-online": { + "model" : ChatPerplexity, + "premium" : True, + }, + "sonar-medium-chat" : { + "model" : ChatPerplexity, + "premium" : False, + }, + "sonar-medium-online" : { + "model" : ChatPerplexity, + "premium" : True, + }, + "codellama/CodeLlama-34b-Instruct-hf": { + "model" : ChatTogether, + "premium" : False, + }, + "codellama/CodeLlama-70b-Instruct-hf": { + "model" : ChatTogether, + "premium" : True, + }, + "meta-llama/Llama-2-13b-chat-hf": { + "model" : ChatTogether, + "premium" : False, + }, + "meta-llama/Llama-2-70b-chat-hf": { + "model" : ChatTogether, + "premium" : True, + }, + "meta-llama/Llama-3-8b-chat-hf" : { + "model" : ChatTogether, + "premium" : False, + }, + "meta-llama/Llama-3-70b-chat-hf": { + "model" : ChatTogether, + "premium" : True, + }, + "google/gemma-2b-it": { + "model" : ChatTogether, + "premium" : False, + }, + "google/gemma-7b-it": { + "model" : ChatTogether, + "premium" : False, + }, } @@ -317,6 +398,24 @@ async def verify_google_token(background_tasks: BackgroundTasks, credentials: HT ) +def verify_active_subscription(token_info: dict = Depends(verify_google_token)): + """Verify the active subscription for the user.""" + + # check if the customer has a subscription + subscription_ref = db.collection('subscriptions').where('customer_id', '==', token_info['sub']).stream() + + # check if the customer has an active subscription + for doc in subscription_ref: + subscription_data = doc.to_dict() + subscription_status = subscription.fetch(subscription_data['subscription_id'])['status'] + if subscription_status == 'active': + return True + + raise HTTPException( + status_code=status.HTTP_403_FORBIDDEN, + detail="Forbidden", + ) + @app.get("/auth/google", response_model=dict, tags=["Authentication Endpoints"]) async def google_auth(idinfo: dict = Depends(verify_google_token)): """Google authentication endpoint to verify the Google ID token.""" @@ -349,54 +448,56 @@ async def verify_token_info(token_info: dict = Depends(verify_token)): return {"token_info": token_info} -@app.post("/v1/chat", response_model=ChatResponse, tags=["AI Endpoints"]) -async def chat_conversation(request: ChatRequest, token_info: dict = Depends(verify_token)): - """Chat endpoint for the OpenAI chatbot.""" - try: - # Get the chat model from the request and create the corresponding chat instance - chat_model = request.chat_model - chat = model_company_mapping.get(chat_model) - if chat is None: - raise ValueError(f"Invalid chat model: {chat_model}") - - print("Chat model: ", chat_model) - - - # Create the chat prompt and memory for the conversation - chat = chat( - model_name=chat_model, - model=chat_model, - temperature=request.temperature, - ) - - - prompt = ChatPromptTemplate( - messages=[ - # SystemMessagePromptTemplate.from_template(""), - MessagesPlaceholder(variable_name="chat_history"), - HumanMessagePromptTemplate.from_template("{user_input}"), - ] - ) - memory = ConversationBufferMemory(memory_key="chat_history", return_messages=True) - conversation = LLMChain(llm=chat, memory=memory, prompt=prompt, verbose=False) - # Seed the chat history with the user's input from the request - for chat_history in request.chat_history: - memory.chat_memory.add_user_message(chat_history.user_message) - memory.chat_memory.add_ai_message(chat_history.ai_message) - # Run the conversation.invoke method in a separate thread - response = conversation.invoke(input=request.user_input) +# @app.post("/v1/chat", response_model=ChatResponse, tags=["AI Endpoints"]) +# async def chat_conversation(request: ChatRequest, token_info: dict = Depends(verify_token)): +# """Chat endpoint for the OpenAI chatbot.""" +# try: +# # Get the chat model from the request and create the corresponding chat instance +# chat_model = request.chat_model +# chat = model_company_mapping.get(chat_model) +# if chat is None: +# raise ValueError(f"Invalid chat model: {chat_model}") + +# print("Chat model: ", chat_model) - return ChatResponse(response=response["text"]) - except ValidationError as ve: - # Handle validation errors specifically for better user feedback - logging.error("Validation error: %s", ve) - raise HTTPException(status_code=400, detail="Invalid request data") from ve - except Exception as e: - # Log and handle generic exceptions gracefully - logging.error("Error processing chat request: %s", e) - raise HTTPException(status_code=500, detail="Internal server error") from e + +# # Create the chat prompt and memory for the conversation +# chat = chat( +# model_name=chat_model, +# model=chat_model, +# temperature=request.temperature, +# ) + + +# prompt = ChatPromptTemplate( +# messages=[ +# # SystemMessagePromptTemplate.from_template(""), +# MessagesPlaceholder(variable_name="chat_history"), +# HumanMessagePromptTemplate.from_template("{user_input}"), +# ] +# ) +# memory = ConversationBufferMemory(memory_key="chat_history", return_messages=True) +# conversation = LLMChain(llm=chat, memory=memory, prompt=prompt, verbose=False) + +# # Seed the chat history with the user's input from the request +# for chat_history in request.chat_history: +# memory.chat_memory.add_user_message(chat_history.user_message) +# memory.chat_memory.add_ai_message(chat_history.ai_message) + +# # Run the conversation.invoke method in a separate thread +# response = conversation.invoke(input=request.user_input) + +# return ChatResponse(response=response["text"]) +# except ValidationError as ve: +# # Handle validation errors specifically for better user feedback +# logging.error("Validation error: %s", ve) +# raise HTTPException(status_code=400, detail="Invalid request data") from ve +# except Exception as e: +# # Log and handle generic exceptions gracefully +# logging.error("Error processing chat request: %s", e) +# raise HTTPException(status_code=500, detail="Internal server error") from e @app.post("/v1/chat_event_streaming", tags=["AI Endpoints"]) async def chat_event_streaming(request: ChatRequest, token_info: dict = Depends(verify_token)): @@ -404,13 +505,19 @@ async def chat_event_streaming(request: ChatRequest, token_info: dict = Depends( try: # Get the chat model from the request and create the corresponding chat instance chat_model = request.chat_model - chat = model_company_mapping.get(chat_model) - if chat is None: + chat_config = model_company_mapping.get(chat_model) + + if not chat_config: raise ValueError(f"Invalid chat model: {chat_model}") - + + if chat_config['premium'] == True: + if not verify_active_subscription(token_info): + raise HTTPException( + status_code=status.HTTP_403_FORBIDDEN, + detail="Forbidden", + ) - # Create the chat prompt and memory for the conversation - chat = chat( + chat = chat_config['model']( model_name=chat_model, model=chat_model, temperature=request.temperature, @@ -603,7 +710,21 @@ async def get_subscriptions(request: SubscriptionRequest, token_info: dict = Dep # check if customer id exists in the database customer_ref = db.collection('users').document(token_info['sub']) customer_data = customer_ref.get() - + + # check if the customer has a subscription + subscription_ref = db.collection('subscriptions').where('customer_id', '==', token_info['sub']).stream() + + # check if the customer has an active subscription + for doc in subscription_ref: + subscription_data = doc.to_dict() + print(subscription_data['subscription_id']) + subscription_status = subscription.fetch(subscription_data['subscription_id'])['status'] + if subscription_status == 'active': + # return the 400 status code with message + raise HTTPException( + status_code=status.HTTP_400_BAD_REQUEST, + detail="Subscription already exists", + ) subscription_data = { "plan_id": PLAN_ID, @@ -631,6 +752,10 @@ async def get_subscriptions(request: SubscriptionRequest, token_info: dict = Dep }) return subscription_response + + + except HTTPException as e: + raise e except Exception as e: logging.error("Error getting subscriptions: %s", e) diff --git a/web/src/components/PlansModal.js b/web/src/components/PlansModal.js index 50ae9e4..1585908 100644 --- a/web/src/components/PlansModal.js +++ b/web/src/components/PlansModal.js @@ -1,6 +1,7 @@ import React, { useEffect, useState } from "react"; import { Modal, ModalContent, ModalHeader, ModalBody, ModalFooter, Button, Spinner } from "@nextui-org/react"; import axios from "axios"; +import congratulations from "../images/congratulations.gif"; export const PlansModal = ({ isOpen, onClose }) => { const API_HOST = process.env.REACT_APP_API_HOST || "http://localhost:5000"; @@ -8,6 +9,7 @@ export const PlansModal = ({ isOpen, onClose }) => { const [plans, setPlans] = useState(); const [loading, setLoading] = useState(false); + const [paymentStatus, setPaymentStatus] = useState(null); const createSubscription = async () => { setLoading(true); @@ -25,51 +27,92 @@ export const PlansModal = ({ isOpen, onClose }) => { }, } ); - + if (response.data && response.data.short_url) { - // Open the payment URL in a popup const paymentPopup = window.open( response.data.short_url, 'RazorpayPayment', 'width=600,height=600,resizable=yes,scrollbars=yes,status=yes' ); - // Check if popup was blocked by the browser if (!paymentPopup || paymentPopup.closed || typeof paymentPopup.closed == 'undefined') { alert("Popup blocked. Please allow popups for this site to proceed with the payment."); + setLoading(false); + } else { + // Check if the popup is closed every second + const checkPopupClosed = setInterval(() => { + if (paymentPopup.closed) { + clearInterval(checkPopupClosed); + handlePopupClosed(); + } + }, 1000); } - - // Listen for messages from the popup - window.addEventListener('message', handlePaymentMessage, false); } else { console.error('No payment URL received'); + setLoading(false); } } catch (error) { console.error('Error creating subscription:', error); - } finally { setLoading(false); } }; - const handlePaymentMessage = (event) => { - // Verify the origin of the message - if (event.origin !== window.location.origin) return; - - if (event.data.paymentStatus === 'success') { - // Handle successful payment - console.log('Payment successful'); - onClose(); // Close the modal - // You might want to update the user's subscription status here - } else if (event.data.paymentStatus === 'failure') { - // Handle payment failure - console.log('Payment failed'); + const checkSubscriptionStatus = async () => { + try { + // fetch the latest subscription + const response = await axios.get( + `${API_HOST}/v1/fetch_subscription`, + { + headers: { + Authorization: `Bearer ${accessToken}`, + }, + } + ); + // if response is 200, then get the top level key of the response + if (response.status === 200 && response.data.length > 0) { + const subscriptionId = response.data[0].subscription_id; + // check the subscription status + const subscriptionStatus = await axios.get( + `${API_HOST}/v1/subscriptions/${subscriptionId}/status`, + { + headers: { + Authorization: `Bearer ${accessToken}`, + }, + } + ); + console.log('Subscription status:', subscriptionStatus.data); + // if the subscription status is active, then set the payment status to success + if (subscriptionStatus?.data?.status === 'active') { + return true; + } else { + return false; + } + } } + catch (error) { + console.error('Error fetching subscription:', error); + } + } - // Remove the event listener - window.removeEventListener('message', handlePaymentMessage); + const handlePopupClosed = async () => { + try { + const subscriptionStatus = await checkSubscriptionStatus(); + if (subscriptionStatus) { + setPaymentStatus('success'); + } else { + setPaymentStatus('failed'); + } + setLoading(false); + } catch (error) { + console.error('Error handling popup closed:', error); + setLoading(false); + } finally { + setLoading(false); + } }; useEffect(() => { + const fetchPlans = async () => { try { const response = await axios.get(`${API_HOST}/v1/plans`, { @@ -83,7 +126,14 @@ export const PlansModal = ({ isOpen, onClose }) => { } }; - fetchPlans(); + checkSubscriptionStatus().then((status) => { + if (status) { + setPaymentStatus('success'); + } else { + fetchPlans(); + } + }); + }, [API_HOST, accessToken]); return ( @@ -92,41 +142,62 @@ export const PlansModal = ({ isOpen, onClose }) => {

Plus Subscription

 - -
-
- Price: - ₹ {plans?.amount} -
-
- - - - Early access to new features + + {paymentStatus === 'success' ? ( +
+ Congratulations +

+ Congratulations! You can now enjoy the Plus subscription and its benefits. +

+

+ Explore advanced features and powerful AI models at your fingertips. +

-
- - - - Access to powerful models like GPT-4, Claude-Opus, Gemini-1.5-Pro, and many more + ) : ( +
+
+ Price: + ₹ {plans?.amount} +
+
+ + + + Early access to new features +
+
+ + + + Access to powerful models like GPT-4, Claude-Opus, Gemini-1.5-Pro, and many more +
-
+ )} - + {paymentStatus === 'success' ? ( + + ) : ( + + )} diff --git a/web/src/images/congratulations.gif b/web/src/images/congratulations.gif new file mode 100644 index 0000000000000000000000000000000000000000..95a644d228463a86cf39edd71ef3c46c0d319345 GIT binary patch literal 971349 zcmbTdXHXMf)a@OT0BK-CuS)M==taQLAr$Eyq)Sygf`IfIF!azQ^p2rO2kE^R1w`ox zDu^8r<^4a;+?n@&zURxC*&oi#p0no6ti66mOGi^q-Vp%2MfMv2xYON-eM=zg-_i=* zowsRO-?iIa)cXGD<%K|fX8!Vbm(`%(iG2s53x{@F`#NW|kKVlt25o)#LvI8NJD|1O zma*R9ef;Gc=_z^s``JfJuLjh{KB>)f*{|2zPd_naJ;eb(Opx_X0IOclMzm@Dizl0$ zeY}{Q*V9b+9G^d%(B9D6SMZ{5&T(V@{_kj8VB*zr3VFT&z{U=G|x6YnQt3t z?%Yl8B@Fe?JsHSbADm>EiCx%gXg`@E*x*mS*`>#GbzU^p4Y3*MahWZtDd=pyv8O-}N_n>z=^8yz7 zhdz6rew_ZK-=$^c>$u}jBfc9wr!Td)e|mgA4?F#l|8#}XJ8aMFn9#U*JH2;FW#SW7 zQF`axEBs+=bN;5*dCZeh{?$d{*W3vm`4z>B)v;|Av9-a(sfd!JsZha#&$kOdEmRk{ zyj}Tq0Xi6aMpMxD>r3LCEiRbJ?Qa$?*96qV^X;d;PTzvK}2@ zOY>57KGJvhzxv8gD0>Pl?XEE{#l8t+`)5HllG0XQFe#-u>CZt~^?cUcu)9QAe?>>= zpJYvxYv&Je^n>D%@(7bZ{IRiRHSq*Uhu-a~bmQvOf+mT&NI7B{ZRn;PWn*-Ho4HI( zMOd>%b|qCzu! 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