mirror of
https://github.com/arc53/DocsGPT.git
synced 2025-11-30 17:13:15 +00:00
feat: sync remote sources through celery periodic tasks
This commit is contained in:
@@ -6,15 +6,20 @@ from werkzeug.utils import secure_filename
|
||||
from bson.objectid import ObjectId
|
||||
|
||||
from application.core.settings import settings
|
||||
|
||||
mongo = MongoClient(settings.MONGO_URI)
|
||||
db = mongo["docsgpt"]
|
||||
conversations_collection = db["conversations"]
|
||||
sources_collection = db["sources"]
|
||||
|
||||
current_dir = os.path.dirname(os.path.dirname(os.path.dirname(os.path.abspath(__file__))))
|
||||
current_dir = os.path.dirname(
|
||||
os.path.dirname(os.path.dirname(os.path.abspath(__file__)))
|
||||
)
|
||||
|
||||
|
||||
internal = Blueprint("internal", __name__)
|
||||
|
||||
|
||||
internal = Blueprint('internal', __name__)
|
||||
@internal.route("/api/download", methods=["get"])
|
||||
def download_file():
|
||||
user = secure_filename(request.args.get("user"))
|
||||
@@ -24,7 +29,6 @@ def download_file():
|
||||
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."""
|
||||
@@ -38,7 +42,8 @@ def upload_index_files():
|
||||
retriever = secure_filename(request.form["retriever"])
|
||||
id = secure_filename(request.form["id"])
|
||||
type = secure_filename(request.form["type"])
|
||||
remote_data = secure_filename(request.form["remote_data"]) if "remote_data" in request.form else None
|
||||
remote_data = request.form["remote_data"] if "remote_data" in request.form else None
|
||||
sync_frequency = secure_filename(request.form["sync_frequency"])
|
||||
|
||||
save_dir = os.path.join(current_dir, "indexes", str(id))
|
||||
if settings.VECTOR_STORE == "faiss":
|
||||
@@ -55,24 +60,45 @@ def upload_index_files():
|
||||
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 sources_collection
|
||||
sources_collection.insert_one(
|
||||
{
|
||||
"_id": ObjectId(id),
|
||||
"user": user,
|
||||
"name": job_name,
|
||||
"language": job_name,
|
||||
"date": datetime.datetime.now().strftime("%d/%m/%Y %H:%M:%S"),
|
||||
"model": settings.EMBEDDINGS_NAME,
|
||||
"type": type,
|
||||
"tokens": tokens,
|
||||
"retriever": retriever,
|
||||
"remote_data": remote_data
|
||||
}
|
||||
)
|
||||
return {"status": "ok"}
|
||||
|
||||
existing_entry = sources_collection.find_one({"_id": ObjectId(id)})
|
||||
if existing_entry:
|
||||
sources_collection.update_one(
|
||||
{"_id": ObjectId(id)},
|
||||
{
|
||||
"$set": {
|
||||
"user": user,
|
||||
"name": job_name,
|
||||
"language": job_name,
|
||||
"date": datetime.datetime.now().strftime("%d/%m/%Y %H:%M:%S"),
|
||||
"model": settings.EMBEDDINGS_NAME,
|
||||
"type": type,
|
||||
"tokens": tokens,
|
||||
"retriever": retriever,
|
||||
"remote_data": remote_data,
|
||||
"sync_frequency": sync_frequency,
|
||||
}
|
||||
},
|
||||
)
|
||||
else:
|
||||
sources_collection.insert_one(
|
||||
{
|
||||
"_id": ObjectId(id),
|
||||
"user": user,
|
||||
"name": job_name,
|
||||
"language": job_name,
|
||||
"date": datetime.datetime.now().strftime("%d/%m/%Y %H:%M:%S"),
|
||||
"model": settings.EMBEDDINGS_NAME,
|
||||
"type": type,
|
||||
"tokens": tokens,
|
||||
"retriever": retriever,
|
||||
"remote_data": remote_data,
|
||||
"sync_frequency": sync_frequency,
|
||||
}
|
||||
)
|
||||
return {"status": "ok"}
|
||||
|
||||
Reference in New Issue
Block a user