backend: make the data directory and the artifacts from the frontend customizable using environment variables

Signed-off-by: lucasew <lucas59356@gmail.com>
This commit is contained in:
lucasew 2024-01-19 17:13:09 -03:00
parent e3503d6617
commit 5b26d2a686
4 changed files with 16 additions and 14 deletions

View file

@ -1,4 +1,6 @@
from peewee import *
from config import DATA_DIR
DB = SqliteDatabase("./data/ollama.db")
DB = SqliteDatabase(str(DATA_DIR / "ollama.db"))
DB.connect()

View file

@ -11,7 +11,7 @@ import json
from utils.misc import calculate_sha256
from config import OLLAMA_API_BASE_URL
from config import OLLAMA_API_BASE_URL, DATA_DIR, UPLOAD_DIR
from constants import ERROR_MESSAGES
@ -96,8 +96,7 @@ async def download(
file_name = parse_huggingface_url(url)
if file_name:
os.makedirs("./uploads", exist_ok=True)
file_path = os.path.join("./uploads", f"{file_name}")
file_path = str(UPLOAD_DIR / file_name)
return StreamingResponse(
download_file_stream(url, file_path, file_name),
@ -109,16 +108,15 @@ async def download(
@router.post("/upload")
def upload(file: UploadFile = File(...)):
os.makedirs("./data/uploads", exist_ok=True)
file_path = os.path.join("./data/uploads", file.filename)
file_path = UPLOAD_DIR / file.filename
# Save file in chunks
with open(file_path, "wb+") as f:
with file_path.open("wb+") as f:
for chunk in file.file:
f.write(chunk)
def file_process_stream():
total_size = os.path.getsize(file_path)
total_size = os.path.getsize(str(file_path))
chunk_size = 1024 * 1024
try:
with open(file_path, "rb") as f:

View file

@ -24,10 +24,12 @@ except ImportError:
# File Upload
####################################
DATA_DIR = Path(os.getenv("DATA_DIR", './data')).resolve()
UPLOAD_DIR = "./data/uploads"
Path(UPLOAD_DIR).mkdir(parents=True, exist_ok=True)
UPLOAD_DIR = DATA_DIR / "uploads"
UPLOAD_DIR.mkdir(parents=True, exist_ok=True)
WEB_DIR = Path(os.getenv("WEB_DIR", "../build"))
####################################
# ENV (dev,test,prod)
@ -82,10 +84,10 @@ if WEBUI_AUTH and WEBUI_JWT_SECRET_KEY == "":
# RAG
####################################
CHROMA_DATA_PATH = "./data/vector_db"
CHROMA_DATA_PATH = DATA_DIR / "vector_db"
EMBED_MODEL = "all-MiniLM-L6-v2"
CHROMA_CLIENT = chromadb.PersistentClient(
path=CHROMA_DATA_PATH, settings=Settings(allow_reset=True)
path=str(CHROMA_DATA_PATH), settings=Settings(allow_reset=True)
)
CHUNK_SIZE = 1500
CHUNK_OVERLAP = 100

View file

@ -14,7 +14,7 @@ from apps.openai.main import app as openai_app
from apps.web.main import app as webui_app
from apps.rag.main import app as rag_app
from config import ENV
from config import ENV, WEB_DIR
class SPAStaticFiles(StaticFiles):
@ -58,4 +58,4 @@ app.mount("/openai/api", openai_app)
app.mount("/rag/api/v1", rag_app)
app.mount("/", SPAStaticFiles(directory="../build", html=True), name="spa-static-files")
app.mount("/", SPAStaticFiles(directory=str(WEB_DIR), html=True), name="spa-static-files")