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DocsGPT/application/api/internal/routes.py

69 lines
2.5 KiB
Python

import os
import datetime
from flask import Blueprint, request, send_from_directory
from pymongo import MongoClient
from werkzeug.utils import secure_filename
from application.core.settings import settings
mongo = MongoClient(settings.MONGO_URI)
db = mongo["docsgpt"]
conversations_collection = db["conversations"]
vectors_collection = db["vectors"]
current_dir = os.path.dirname(os.path.dirname(os.path.dirname(os.path.abspath(__file__))))
internal = Blueprint('internal', __name__)
@internal.route("/api/download", methods=["get"])
def download_file():
user = secure_filename(request.args.get("user"))
job_name = secure_filename(request.args.get("name"))
filename = secure_filename(request.args.get("file"))
save_dir = os.path.join(current_dir, settings.UPLOAD_FOLDER, user, job_name)
return send_from_directory(save_dir, filename, as_attachment=True)
@internal.route("/api/upload_index", methods=["POST"])
def upload_index_files():
"""Upload two files(index.faiss, index.pkl) to the user's folder."""
if "user" not in request.form:
return {"status": "no user"}
user = secure_filename(request.form["user"])
if "name" not in request.form:
return {"status": "no name"}
job_name = secure_filename(request.form["name"])
save_dir = os.path.join(current_dir, "indexes", user, job_name)
if settings.VECTOR_STORE == "faiss":
if "file_faiss" not in request.files:
print("No file part")
return {"status": "no file"}
file_faiss = request.files["file_faiss"]
if file_faiss.filename == "":
return {"status": "no file name"}
if "file_pkl" not in request.files:
print("No file part")
return {"status": "no file"}
file_pkl = request.files["file_pkl"]
if file_pkl.filename == "":
return {"status": "no file name"}
# saves index files
if not os.path.exists(save_dir):
os.makedirs(save_dir)
file_faiss.save(os.path.join(save_dir, "index.faiss"))
file_pkl.save(os.path.join(save_dir, "index.pkl"))
# create entry in vectors_collection
vectors_collection.insert_one(
{
"user": user,
"name": job_name,
"language": job_name,
"location": save_dir,
"date": datetime.datetime.now().strftime("%d/%m/%Y %H:%M:%S"),
"model": settings.EMBEDDINGS_NAME,
"type": "local",
}
)
return {"status": "ok"}