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ERP/ai procurement/app/storage.py
T

54 lines
1.7 KiB
Python

"""Persistent storage for draft attachments (proforma files)."""
from datetime import datetime, timezone
import logging
import os
from pathlib import Path
import re
from uuid import UUID, uuid4
logger = logging.getLogger("bot.storage")
def sanitize_filename(filename: str) -> str:
"""Sanitize filename preserving Persian/Arabic/English letters, numbers, and extensions."""
raw = (filename or "proforma.pdf").strip()
name = Path(raw).name
# Remove control characters and path traversal
clean = re.sub(r'[\/\\:\*\?"<>\|\r\n\t]', "_", name)
clean = clean.strip(". ")
return clean or f"proforma_{uuid4().hex[:8]}.pdf"
async def save_proforma_file(
draft_id: str | UUID,
file_name: str,
content: bytes,
mime_type: str | None = None,
storage_dir: str = "data/attachments/proformas",
) -> dict:
"""Save proforma bytes permanently to disk.
Returns dict metadata for persisting in draft payload.
"""
clean_name = sanitize_filename(file_name)
target_dir = Path(storage_dir) / str(draft_id)
target_dir.mkdir(parents=True, exist_ok=True)
unique_prefix = uuid4().hex[:8]
saved_filename = f"{unique_prefix}_{clean_name}"
target_path = target_dir / saved_filename
# Write bytes to disk
target_path.write_bytes(content)
logger.info("Persisted proforma (%d bytes) to %s", len(content), target_path)
return {
"file_name": clean_name,
"saved_filename": saved_filename,
"saved_path": str(target_path.resolve()),
"relative_path": str(target_path.as_posix()),
"size_bytes": len(content),
"mime_type": mime_type or "application/octet-stream",
"saved_at": datetime.now(timezone.utc).isoformat(),
}