Files
resolutionflow/backend/app/services/storage_service.py
chihlasm 3b682069d3 feat: wire image uploads into AI assistant chat (vision support)
- Backend: ChatMessageRequest accepts upload_ids, endpoint fetches
  images from S3, base64-encodes them, passes to Claude as multimodal
  content blocks (vision API)
- Backend: add download_file() to storage_service for fetching from S3
- Frontend: handleSend collects completed upload IDs from pendingUploads
  and includes them in the sendChatMessage API call
- Frontend: prefill handler passes upload IDs from dashboard nav state
- Enables paste-screenshot → AI-sees-it flow end-to-end

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-03-24 04:39:54 +00:00

95 lines
3.0 KiB
Python

"""S3-compatible object storage service for file uploads."""
import logging
import uuid
from io import BytesIO
import boto3
from botocore.config import Config as BotoConfig
from botocore.exceptions import ClientError
from app.core.config import settings
logger = logging.getLogger(__name__)
ALLOWED_IMAGE_TYPES = {"image/png", "image/jpeg", "image/gif", "image/webp"}
ALLOWED_TEXT_TYPES = {"text/plain", "text/csv", "application/octet-stream"}
ALLOWED_TYPES = ALLOWED_IMAGE_TYPES | ALLOWED_TEXT_TYPES
MAX_IMAGE_SIZE = 5 * 1024 * 1024 # 5MB
MAX_TEXT_SIZE = 1 * 1024 * 1024 # 1MB
MAX_FILES_PER_SESSION = 20
MAX_BYTES_PER_SESSION = 50 * 1024 * 1024 # 50MB
PRESIGNED_URL_EXPIRY = 3600 # 1 hour
def _get_client():
"""Get S3 client configured for Railway Object Storage."""
if not settings.STORAGE_ENDPOINT:
raise RuntimeError("Object storage not configured (STORAGE_ENDPOINT missing)")
return boto3.client(
"s3",
endpoint_url=settings.STORAGE_ENDPOINT,
aws_access_key_id=settings.STORAGE_ACCESS_KEY,
aws_secret_access_key=settings.STORAGE_SECRET_KEY,
region_name=settings.STORAGE_REGION,
config=BotoConfig(signature_version="s3v4"),
)
def validate_upload(content_type: str, size_bytes: int) -> str | None:
"""Validate file type and size. Returns error message or None."""
if content_type not in ALLOWED_TYPES:
return f"File type {content_type} not allowed"
max_size = MAX_IMAGE_SIZE if content_type in ALLOWED_IMAGE_TYPES else MAX_TEXT_SIZE
if size_bytes > max_size:
return f"File too large ({size_bytes} bytes, max {max_size})"
return None
async def upload_file(
file_data: bytes,
filename: str,
content_type: str,
account_id: str,
) -> str:
"""Upload file to S3, returns the storage key."""
ext = filename.rsplit(".", 1)[-1] if "." in filename else "bin"
storage_key = f"uploads/{account_id}/{uuid.uuid4()}.{ext}"
client = _get_client()
client.upload_fileobj(
BytesIO(file_data),
settings.STORAGE_BUCKET_NAME,
storage_key,
ExtraArgs={"ContentType": content_type},
)
return storage_key
def download_file(storage_key: str) -> bytes:
"""Download a file from S3 and return its contents as bytes."""
client = _get_client()
buf = BytesIO()
client.download_fileobj(settings.STORAGE_BUCKET_NAME, storage_key, buf)
return buf.getvalue()
def get_presigned_url(storage_key: str) -> str:
"""Generate a time-limited presigned URL for downloading a file."""
client = _get_client()
return client.generate_presigned_url(
"get_object",
Params={"Bucket": settings.STORAGE_BUCKET_NAME, "Key": storage_key},
ExpiresIn=PRESIGNED_URL_EXPIRY,
)
async def delete_file(storage_key: str) -> None:
"""Delete a file from S3."""
try:
client = _get_client()
client.delete_object(Bucket=settings.STORAGE_BUCKET_NAME, Key=storage_key)
except ClientError:
logger.warning(f"Failed to delete S3 object: {storage_key}")