Files
DataClaw/backend/app/api/upload.py
T
2026-03-15 00:10:01 +08:00

59 lines
2.0 KiB
Python

from fastapi import APIRouter, UploadFile, File, HTTPException
import pandas as pd
import duckdb
import io
import uuid
from pathlib import Path
router = APIRouter()
upload_dir = Path(__file__).resolve().parents[2] / "data" / "uploads"
upload_dir.mkdir(parents=True, exist_ok=True)
@router.post("/upload/file")
async def upload_file(file: UploadFile = File(...)):
allowed_extensions = ('.csv', '.xls', '.xlsx')
if not file.filename.lower().endswith(allowed_extensions):
raise HTTPException(status_code=400, detail="Invalid file type. Only CSV and Excel files allowed.")
try:
content = await file.read()
if not content:
raise HTTPException(status_code=400, detail="Empty file is not allowed.")
file_obj = io.BytesIO(content)
unique_filename = f"{uuid.uuid4()}-{file.filename}"
save_path = upload_dir / unique_filename
save_path.write_bytes(content)
file_url = f"local://{unique_filename}"
file_obj.seek(0)
try:
if file.filename.lower().endswith('.csv'):
df = pd.read_csv(file_obj)
else:
df = pd.read_excel(file_obj)
duckdb_conn = duckdb.connect(database=':memory:')
duckdb_conn.register('uploaded_file', df)
summary = duckdb_conn.execute("DESCRIBE uploaded_file").fetchall()
row_count = len(df)
columns = list(df.columns)
return {
"filename": unique_filename,
"url": file_url,
"rows": row_count,
"columns": columns,
"summary": str(summary)
}
except Exception as e:
return {
"filename": unique_filename,
"url": file_url,
"analysis_error": str(e)
}
except Exception as e:
raise HTTPException(status_code=500, detail=str(e))