Storage: Support the s3, azure blob as the object storage of ragflow. (#2278)

### What problem does this PR solve?

issue: https://github.com/infiniflow/ragflow/issues/2277

_Briefly describe what this PR aims to solve. Include background context
that will help reviewers understand the purpose of the PR._

### Type of change

- [ ] Bug Fix (non-breaking change which fixes an issue)
- [x] New Feature (non-breaking change which adds functionality)
- [ ] Documentation Update
- [ ] Refactoring
- [ ] Performance Improvement
- [ ] Other (please describe):

Co-authored-by: Kevin Hu <kevinhu.sh@gmail.com>

api/db/services/file_service.py

@@ -27,7 +27,7 @@ from api.db.services.document_service import DocumentService
 from api.db.services.file2document_service import File2DocumentService
 from api.utils import get_uuid
 from api.utils.file_utils import filename_type, thumbnail
-from rag.utils.minio_conn import MINIO
+from rag.utils.storage_factory import STORAGE_IMPL
 
 
 class FileService(CommonService):
@@ -350,10 +350,10 @@ class FileService(CommonService):
                     raise RuntimeError("This type of file has not been supported yet!")
 
                 location = filename
-                while MINIO.obj_exist(kb.id, location):
+                while STORAGE_IMPL.obj_exist(kb.id, location):
                     location += "_"
                 blob = file.read()
-                MINIO.put(kb.id, location, blob)
+                STORAGE_IMPL.put(kb.id, location, blob)
                 doc = {
                     "id": get_uuid(),
                     "kb_id": kb.id,