main.py

from fastapi import FastAPI, HTTPException, UploadFile, File,Request,Depends,status,BackgroundTasks
from fastapi.security import OAuth2PasswordBearer
from pydantic import BaseModel, Json,EmailStr
from typing import Optional
from pinecone import Pinecone, ServerlessSpec
from uuid import uuid4
import os
from dotenv import load_dotenv
from rag import *
from fastapi.responses import StreamingResponse
import json
from prompt import *
from typing import Literal
import time
from fastapi.middleware.cors import CORSMiddleware
import requests

import smtplib
from email.mime.text import MIMEText


load_dotenv()

## setup pinecone index
pinecone_api_key = os.environ.get("PINECONE_API_KEY")

pc = Pinecone(api_key=pinecone_api_key)

index_name = os.environ.get("INDEX_NAME") # change if desired

existing_indexes = [index_info["name"] for index_info in pc.list_indexes()]

if index_name not in existing_indexes:
    pc.create_index(
        name=index_name,
        dimension=1536,
        metric="cosine",
        spec=ServerlessSpec(cloud="aws", region="us-east-1"),
    )
    while not pc.describe_index(index_name).status["ready"]:
        time.sleep(1)

index = pc.Index(index_name)

vector_store = PineconeVectorStore(index=index, embedding=embedding)

## setup authorization
api_keys = [os.environ.get("FASTAPI_API_KEY")]

oauth2_scheme = OAuth2PasswordBearer(tokenUrl="token")  # use token authentication


def api_key_auth(api_key: str = Depends(oauth2_scheme)):
    if api_key not in api_keys:
        raise HTTPException(
            status_code=status.HTTP_401_UNAUTHORIZED,
            detail="Forbidden"
        )

dev_mode = os.environ.get("DEV")

if dev_mode == "True":
    app = FastAPI()
else:
    app = FastAPI(dependencies=[Depends(api_key_auth)])

app.add_middleware(CORSMiddleware, allow_origins=["*"], allow_credentials=True, allow_methods=["*"], allow_headers=["*"])

# Pydantic model for the form data
class ContactForm(BaseModel):
    name: str
    email: EmailStr
    message: str

def send_simple_message(to,subject,text):
    api_key = os.getenv("MAILGUN_API_KEY")

    return requests.post(
        "https://api.mailgun.net/v3/sandboxafc6970ffdab40ee9566a4e180b117fd.mailgun.org/messages",
        auth=("api", api_key),
        data={"from": "Excited User <mailgun@sandboxafc6970ffdab40ee9566a4e180b117fd.mailgun.org>",
            "to": [to],
            "subject": subject,
            "text": text})

# Function to send email
def send_email(form_data: ContactForm):
    # sender_email = os.getenv("SENDER_EMAIL")
    # sender_password = os.getenv("SENDER_PASSWORD")

    receiver_email = os.getenv("RECEIVER_EMAIL")  # Your email

    # Setup the message content
    text = f"Name: {form_data.name}\nEmail: {form_data.email}\nMessage: {form_data.message}"
    title = "New message from your website!"

    # Send the email
    try:
        send_simple_message(receiver_email,title,text)
    except Exception as e:
        print(e)
        return {"message": "Failed to send email."}

# Endpoint to handle form submission
@app.post("/send_email")
async def send_contact_form(form_data: ContactForm, background_tasks: BackgroundTasks):
    background_tasks.add_task(send_email, form_data)
    return {"message": "Email sent successfully!"}

class UserInput(BaseModel):
    query: str
    stream: Optional[bool] = False
    messages: Optional[list[dict]] = []

class ChunkToDB(BaseModel):
    message: str
    title: str


@app.post("/add_chunk_to_db")
async def add_chunk_to_db(chunk: ChunkToDB):
    try:
        title = chunk.title
        message = chunk.message
        return get_vectorstore(text_chunk=message,index=index,title=title)
    except Exception as e:
        return {"message": str(e)}
    

@app.get("/list_vectors")
async def list_vectors():
    try:
        return index.list()
    except Exception as e:
        return {"message": str(e)}
    

@app.post("/generate")
async def generate(user_input: UserInput):
    try:
        print(user_input.stream,user_input.query)
        if user_input.stream:
            return StreamingResponse(generate_stream(user_input.query,user_input.messages,index_name=index,stream=True,vector_store=vector_store),media_type="application/json")
        else:
            return generate_stream(user_input.query,user_input.messages,index_name=index,stream=False,vector_store=vector_store)
    except Exception as e:
        return {"message": str(e)}
    
@app.post("/retreive_context")
async def retreive_context_response(query: str):
    try:
        return retreive_context(index=index,query=query)
    except Exception as e:
        return {"message": str(e)}
    

@app.delete("/delete_vector")
async def delete_vector(filename_id: str):
    try:
        return index.delete(ids=[filename_id])
    except Exception as e:
        return {"message": str(e)}
    
@app.get("/check_server")
async def check_server():
    return {"message":"Server is running"}

@app.get("/")
async def read_root():
    return {"message":"Welcome to the AI API"}