[Azure ML] score.py not being copied to container using SDK v2

• Package Name: azure-ai-ml
• Package Version: 0.1.0b5
• Operating System: Tested on both windows and macos
• Python Version: 3.9

Describe the bug score.py is not being copied to a container, tried both relative and absolute path. Due to which container fails at runtime with ModuleNotFoundError: No module named 'main'

To Reproduce Steps to reproduce the behavior: Sample code is given below:

env = Environment(
    conda_file="./code/deploy/environment.yml",
    image="mcr.microsoft.com/azureml/openmpi3.1.2-ubuntu18.04:20210727.v1",
)

blue_deployment = ManagedOnlineDeployment(
    name="blue",
    endpoint_name=local_endpoint_name,
    model=model,
    environment=env,
    code_configuration=CodeConfiguration(
        code="./code/deploy", scoring_script="score.py"
    ),
    instance_type="Standard_F2s_v2",
    instance_count=1,
)

And directory listing from inside the docker container:

root@21d33d6d1768:/var/azureml-app# ls -alih
total 16K
714328 drwxr-xr-x 1 root root 4.0K Jul 22 12:52 .
714327 drwxr-xr-x 1 root root 4.0K Jul 22 12:19 ..
714329 drwxr-xr-x 2 root root 4.0K Jul 22 12:47 .empty
570216 -rw-r--r-- 1 root root  259 Jul 22 12:18 conda.yml
root@21d33d6d1768:/var/azureml-app#

And exception logs when container runs

(ewa_deployer_v2) waqas@192-168-1-13 EWA.CreditRisk.Model % docker run local-07222036358655:blue
WARNING: The requested image's platform (linux/amd64) does not match the detected host platform (linux/arm64/v8) and no specific platform was requested
2022-07-22T15:15:25,827211584+00:00 - gunicorn/run
2022-07-22T15:15:25,847585459+00:00 - rsyslog/run
2022-07-22T15:15:25,849390709+00:00 - iot-server/run
2022-07-22T15:15:25,877277918+00:00 - nginx/run
EdgeHubConnectionString and IOTEDGE_IOTHUBHOSTNAME are not set. Exiting...
2022-07-22T15:15:26,660859376+00:00 - iot-server/finish 1 0
2022-07-22T15:15:26,682624043+00:00 - Exit code 1 is normal. Not restarting iot-server.
Dynamic Python package installation is disabled.
Starting HTTP server
Starting gunicorn 20.1.0
Listening at: http://127.0.0.1:31311 (64)
Using worker: sync
worker timeout is set to 300
Booting worker with pid: 152
SPARK_HOME not set. Skipping PySpark Initialization.
Exception in worker process
Traceback (most recent call last):
  File "/opt/miniconda/envs/inf-conda-env/lib/python3.9/site-packages/gunicorn/arbiter.py", line 589, in spawn_worker
    worker.init_process()
  File "/opt/miniconda/envs/inf-conda-env/lib/python3.9/site-packages/gunicorn/workers/base.py", line 134, in init_process
    self.load_wsgi()
  File "/opt/miniconda/envs/inf-conda-env/lib/python3.9/site-packages/gunicorn/workers/base.py", line 146, in load_wsgi
    self.wsgi = self.app.wsgi()
  File "/opt/miniconda/envs/inf-conda-env/lib/python3.9/site-packages/gunicorn/app/base.py", line 67, in wsgi
    self.callable = self.load()
  File "/opt/miniconda/envs/inf-conda-env/lib/python3.9/site-packages/gunicorn/app/wsgiapp.py", line 58, in load
    return self.load_wsgiapp()
  File "/opt/miniconda/envs/inf-conda-env/lib/python3.9/site-packages/gunicorn/app/wsgiapp.py", line 48, in load_wsgiapp
    return util.import_app(self.app_uri)
  File "/opt/miniconda/envs/inf-conda-env/lib/python3.9/site-packages/gunicorn/util.py", line 359, in import_app
    mod = importlib.import_module(module)
  File "/opt/miniconda/envs/inf-conda-env/lib/python3.9/importlib/__init__.py", line 127, in import_module
    return _bootstrap._gcd_import(name[level:], package, level)
  File "<frozen importlib._bootstrap>", line 1030, in _gcd_import
  File "<frozen importlib._bootstrap>", line 1007, in _find_and_load
  File "<frozen importlib._bootstrap>", line 986, in _find_and_load_unlocked
  File "<frozen importlib._bootstrap>", line 680, in _load_unlocked
  File "<frozen importlib._bootstrap_external>", line 850, in exec_module
  File "<frozen importlib._bootstrap>", line 228, in _call_with_frames_removed
  File "/var/azureml-server/entry.py", line 1, in <module>
    import create_app
  File "/var/azureml-server/create_app.py", line 4, in <module>
    from routes_common import main
  File "/var/azureml-server/routes_common.py", line 32, in <module>
    from aml_blueprint import AMLBlueprint
  File "/var/azureml-server/aml_blueprint.py", line 30, in <module>
    import main
ModuleNotFoundError: No module named 'main'
Worker exiting (pid: 152)
Shutting down: Master
Reason: Worker failed to boot.

Expected behavior scoring file should be copied and container starts without any issue

[rdzotz]

Is there any solution or associated root cause of this issue. I am experiencing the same when using the azure CLI v2 for deployment

[TajiHarrisMicrosoft]

@waqassiddiqi could I receive the environment.yaml and score.py file used. Also, what region was this done in?