yi
74 lines
2.6 KiB
Python
74 lines
2.6 KiB
Python
from fastapi import APIRouter, UploadFile, File, HTTPException
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import pandas as pd
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import duckdb
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import io
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import uuid
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from app.core.data_root import get_uploads_root
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router = APIRouter()
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upload_dir = get_uploads_root()
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@router.post("/upload/file")
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async def upload_file(file: UploadFile = File(...)):
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upload_dir.mkdir(parents=True, exist_ok=True)
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allowed_extensions = ('.csv', '.xls', '.xlsx', '.parquet', '.db', '.sqlite', '.sqlite3')
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filename_lower = file.filename.lower()
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if not filename_lower.endswith(allowed_extensions):
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raise HTTPException(status_code=400, detail="Invalid file type. Allowed: CSV, Excel, Parquet, SQLite.")
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try:
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content = await file.read()
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if not content:
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raise HTTPException(status_code=400, detail="Empty file is not allowed.")
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file_obj = io.BytesIO(content)
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unique_filename = f"{uuid.uuid4()}-{file.filename}"
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save_path = upload_dir / unique_filename
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save_path.write_bytes(content)
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file_url = f"local://{unique_filename}"
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file_obj.seek(0)
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try:
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if filename_lower.endswith('.csv'):
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df = pd.read_csv(file_obj)
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elif filename_lower.endswith(('.xls', '.xlsx')):
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df = pd.read_excel(file_obj)
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elif filename_lower.endswith('.parquet'):
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df = pd.read_parquet(file_obj)
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elif filename_lower.endswith(('.db', '.sqlite', '.sqlite3')):
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# For SQLite, we don't load into DF immediately for analysis here
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# Just return success
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return {
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"filename": unique_filename,
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"url": file_url,
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"rows": 0,
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"columns": [],
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"summary": "SQLite database uploaded"
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}
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# For DF supported types
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duckdb_conn = duckdb.connect(database=':memory:')
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duckdb_conn.register('uploaded_file', df)
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summary = duckdb_conn.execute("DESCRIBE uploaded_file").fetchall()
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row_count = len(df)
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columns = list(df.columns)
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return {
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"filename": unique_filename,
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"url": file_url,
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"rows": row_count,
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"columns": columns,
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"summary": str(summary)
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}
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except Exception as e:
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return {
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"filename": unique_filename,
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"url": file_url,
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"analysis_error": str(e)
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}
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except Exception as e:
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raise HTTPException(status_code=500, detail=str(e))
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