copy_raster / _ImageryUploaderAGOL.upload_file fails for raster uploads around 50–60 MB

[mirouml]

Describe the bug
When publishing hosted imagery layers using copy_raster() (ArcGIS API for Python 2.4.2), raster uploads around 50–60 MB enter an infinite retry loop inside _ImageryUploaderAGOL.upload_file, never completing. Smaller and larger files upload successfully.

To Reproduce
Steps to reproduce the behavior:

from arcgis.gis import GIS
from arcgis.raster import copy_raster

gis = GIS("home")
service_item = copy_raster(
    input_raster=r"C:\path\to\raster_51mb.tif",
    output_name="test_raster",
    gis=gis
)

error:

# Process stalls indefinitely repeating upload attempts
# No explicit exception is raised

Expected behavior
Upload should complete successfully regardless of raster size.

Platform (please complete the following information):

• OS: Windows 11 / AWS Lambda (AL2)
• Python API Version: 2.4.2
• azure-storage-blob: 12.17.x
• Python: 3.11

Additional context
Cause: upload_blob() performs a single PUT for < 64 MiB files; this often times out and loops indefinitely.
Workaround: Replace the call with manual block upload:

import base64
from azure.storage.blob import BlobBlock
blob = self.container.get_blob_client(blobname)
block_ids = []
with open(file_name, "rb") as f:
    i = 0
    while chunk := f.read(4*1024*1024):
        block_id = base64.b64encode(f"{i:08d}".encode()).decode()
        blob.stage_block(block_id, data=chunk)
        block_ids.append(BlobBlock(block_id=block_id))
        i += 1
blob.commit_block_list(block_ids)

This resolves the issue for 50–60 MB rasters.

[achapkowski]

@mirouml we have someone looking at this. Thank you for reporting it.

[mirouml]

@mirouml we have someone looking at this. Thank you for reporting it.

Thank you. I guess it might be worth to also consider to bump the azure-storage-blob (last week release 12.27.1). All the best and thanks again for looking into it.