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# this is the original main.py file, but without the call to fastapi
# since it is done by reflex's own fast api server
import os, random, logging, pickle, shutil
from dotenv import load_dotenv, find_dotenv
from typing import Optional
from pydantic import BaseModel, Field
from fastapi import FastAPI, HTTPException, File, UploadFile, status
from fastapi.responses import HTMLResponse
from fastapi.middleware.cors import CORSMiddleware
try:
load_dotenv(find_dotenv('env'))
except Exception as e:
pass
from app.engine.processing import ( # << creates the collection already
process_pdf,
process_txt,
index_data,
empty_collection,
vector_search,
vector_search_raw
)
from .rag.rag import rag_it
from .engine.logger import logger
from .settings import datadir, datadir2
if not os.path.exists(datadir):
os.makedirs(datadir, exist_ok=True)
if not os.path.exists(datadir2):
os.makedirs(datadir2, exist_ok=True)
os.makedirs(datadir, exist_ok=True)
EXTENSIONS = ["pdf", "txt"]
app = FastAPI()
environment = os.getenv("ENVIRONMENT", "dev") # created by dockerfile
# replaced by cors_allowed_origins=['*'] in rxconfig.py when using Reflex endpoint
# if environment == "dev":
# logger("Running in development mode - allowing CORS for all origins")
# app.add_middleware(
# CORSMiddleware,
# allow_origins=["*"],
# allow_credentials=True,
# allow_methods=["*"],
# allow_headers=["*"],
# )
# not used when using Reflex endpoint
@app.get("/", response_class=HTMLResponse)
def read_root():
logger("Title displayed on home page")
return """
<html>
<body>
<h1>Welcome to MultiRAG, a RAG system designed by JP Bianchi!</h1>
</body>
</html>
"""
# already provided by Reflex
@app.get("/ping/")
def ping():
""" Testing """
logger("Someone is pinging the server")
return {"answer": str(int(random.random() * 100))}
@app.delete("/erase_data/")
def erase_data():
""" Erase all files in the data directory at the first level only,
(in case we would like to use it for something else)
but not the vector store or the parquet file.
We can do it since the embeddings are in the parquet file already.
"""
if len(os.listdir(datadir)) == 0:
logger("No data to erase")
return {"message": "No data to erase"}
# if we try to rmtree datadir, it looks like /data can't be deleted on HF
for f in os.listdir(datadir):
if f == '.DS_Store' or f.split('.')[-1].lower() in EXTENSIONS:
print(f"Removing {f}")
os.remove(os.path.join(datadir, f))
# we don't remove the parquet file, create_index does that
logger("All data has been erased")
return {"message": "All data has been erased"}
@app.delete("/empty_collection/")
def delete_vectors():
""" Empty the collection in the vector store """
try:
status = empty_collection()
return {"message": f"Collection{'' if status else ' NOT'} erased!"}
except Exception as e:
raise HTTPException(status_code=status.HTTP_500_INTERNAL_SERVER_ERROR, detail=str(e))
@app.get("/list_files/")
def list_files():
""" List all files in the data directory """
print("Listing files")
files = os.listdir(datadir)
logger(f"Files in data directory: {files}")
return {"files": files}
@app.post("/upload/")
# @limiter.limit("5/minute") see 'slowapi' for rate limiting
async def upload_file(file: UploadFile = File(...)):
""" Uploads a file in data directory, for later indexing """
try:
filepath = os.path.join(datadir, file.filename)
logger(f"Fiename detected: {file.filename}")
if os.path.exists(filepath):
logger(f"File {file.filename} already exists: no processing done")
return {"message": f"File {file.filename} already exists: no processing done"}
else:
logger(f"Receiving file: {file.filename}")
contents = await file.read()
logger(f"File reception complete!")
except Exception as e:
logger(f"Error during file upload: {str(e)}")
return {"message": f"Error during file upload: {str(e)}"}
if file.filename.endswith('.pdf'):
# let's save the file in /data even if it's temp storage on HF
with open(filepath, 'wb') as f:
f.write(contents)
# save it also in assets/data because data can be cleared
filepath2 = os.path.join(datadir2, file.filename)
with open(filepath2, 'wb') as f:
f.write(contents)
try:
logger(f"Starting to process {file.filename}")
new_content = process_pdf(filepath)
success = {"message": f"Successfully uploaded {file.filename}"}
success.update(new_content)
return success
except Exception as e:
return {"message": f"Failed to extract text from PDF: {str(e)}"}
elif file.filename.endswith('.txt'):
with open(filepath, 'wb') as f:
f.write(contents)
filepath2 = os.path.join(datadir2, file.filename)
with open(filepath2, 'wb') as f:
f.write(contents)
try:
logger(f"Reading {file.filename}")
new_content = process_txt(filepath)
success = {"message": f"Successfully uploaded {file.filename}"}
success.update(new_content)
return success
except Exception as e:
return {"message": f"Failed to extract text from TXT: {str(e)}"}
else:
return {"message": "Only PDF & txt files are accepted"}
@app.post("/create_index/")
async def create_index():
""" Create an index for the uploaded files """
logger("Creating index for uploaded files")
try:
msg = index_data()
return {"message": msg}
except Exception as e:
raise HTTPException(status_code=status.HTTP_500_INTERNAL_SERVER_ERROR, detail=str(e))
class Question(BaseModel):
question: str
@app.post("/ask/")
async def hybrid_search(question: Question):
logger(f"Processing question: {question.question}")
try:
search_results = vector_search(question.question)
logger(f"Answer: {search_results}")
return {"answer": search_results}
except Exception as e:
raise HTTPException(status_code=status.HTTP_500_INTERNAL_SERVER_ERROR, detail=str(e))
@app.post("/ragit/")
async def ragit(question: Question):
logger(f"Processing question: {question.question}")
try:
search_results = vector_search_raw(question.question)
logger(f"Search results generated: {search_results}")
answer = rag_it(question.question, search_results)
logger(f"Answer: {answer}")
return {"answer": answer}
except Exception as e:
raise HTTPException(status_code=status.HTTP_500_INTERNAL_SERVER_ERROR, detail=str(e))
if __name__ == '__main__':
import uvicorn
from os import getenv
port = int(getenv("PORT", 80))
print(f"Starting server on port {port}")
reload = True if environment == "dev" else False
uvicorn.run("main:app", host="0.0.0.0", port=port, reload=reload)
# Examples:
# curl -X POST "http://localhost:8001/upload" -F "[email protected]"
# curl -X DELETE "http://localhost:8001/erase_data/"
# curl -X GET "http://localhost:8001/list_files/"
# hf space is at https://jpbianchi-multirag.hf.space/
# code given by https://jpbianchi-multirag.hf.space/docs
# Space must be public
# curl -X POST "https://jpbianchi-multirag.hf.space/upload/" -F "[email protected]"
# curl -X POST http://localhost:80/ask/ -H "Content-Type: application/json" -d '{"question": "what is Amazon loss"}'
# curl -X POST http://localhost:80/ragit/ -H "Content-Type: application/json" -d '{"question": "Does ATT have postpaid phone customers?"}'
# see more in notebook upload_index.ipynb |