notes-search-rag / shared_data /vector_storage.py
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import os
from shared_data.supabase_client import supabase, BUCKET
VECTOR_FOLDER = os.getenv("DATABASE_PATH", "vectordatabase")
def upload_vector_db(db_path=VECTOR_FOLDER):
files = [
"index.faiss",
"index.pkl"
]
for filename in files:
local_path = os.path.join(
db_path,
filename
)
if not os.path.exists(local_path):
print(f"{filename} not found")
continue
remote_path = f"vectors/{filename}"
with open(local_path, "rb") as f:
file_data = f.read()
try:
supabase.storage.from_(BUCKET).upload(
path=remote_path,
file=file_data,
file_options={
"upsert": "true"
}
)
print(f"Uploaded {filename}")
except Exception as e:
print(e)
def download_vector_db(db_path=VECTOR_FOLDER):
os.makedirs(db_path, exist_ok=True)
files = [
"index.faiss",
"index.pkl"
]
for filename in files:
remote_path = f"vectors/{filename}"
local_path = os.path.join(
db_path,
filename
)
try:
data = supabase.storage.from_(BUCKET).download(
remote_path
)
with open(local_path, "wb") as f:
f.write(data)
print(f"Downloaded {filename}")
except Exception as e:
import traceback
print(traceback.format_exc())
raise
def delete_vector_db():
supabase.storage.from_(BUCKET).remove(
[
"vectors/index.faiss",
"vectors/index.pkl"
]
)