What will be the cli equivalent of creating an environment using private pip wheel

[Aditya369nair]

• If the issue is to do with Azure CLI 2.0 in-particular, create an issue here at Azure/azure-cli

Related command

Extension name (the extension in question)

azure ml extension

Description of issue (in as much detail as possible)

How can I achieve the equivalent of the following python code using the environment yaml ?

Environment.add_private_pip_wheel(ws, "./my-custom-module.whl", exist_ok=True)

I create az ml env using a yaml file like with this

$schema: https://azuremlschemas.azureedge.net/latest/environment.schema.json
name: rnair-tips-env-2
image: mcr.microsoft.com/azureml/openmpi4.1.0-ubuntu20.04:20220504.v1
conda_file: conda-yamls/tips.yaml
description: Environment containing TIPS

and tips.yaml looks like this

name: tips-conda
channels:
  - conda-forge
dependencies:
  - python=3.7
  - pip:
    - azureml-defaults
    - https://testml1769050118.blob.core.windows.net/azureml/Environment/azureml-private-packages/tips-1.0.12-py3-none-any.whl

where the whl file is uploaded manually and I would want to automate that process

---

[yonzhan]

route to CXP team

Thanks for the feedback! We are routing this to the appropriate team for follow-up. cc @azureml-github.

Issue Details

---

• If the issue is to do with Azure CLI 2.0 in-particular, create an issue here at Azure/azure-cli

Related command

Extension name (the extension in question)

azure ml extension

Description of issue (in as much detail as possible)

How can I achieve the equivalent of the following python code using the environment yaml ?

Environment.add_private_pip_wheel(ws, "./my-custom-module.whl", exist_ok=True)

I create az ml env using a yaml file like with this

$schema: https://azuremlschemas.azureedge.net/latest/environment.schema.json
name: rnair-tips-env-2
image: mcr.microsoft.com/azureml/openmpi4.1.0-ubuntu20.04:20220504.v1
conda_file: conda-yamls/tips.yaml
description: Environment containing TIPS

and tips.yaml looks like this

name: tips-conda
channels:
  - conda-forge
dependencies:
  - python=3.7
  - pip:
    - azureml-defaults
    - https://testml1769050118.blob.core.windows.net/azureml/Environment/azureml-private-packages/tips-1.0.12-py3-none-any.whl

where the whl file is uploaded manually and I would want to automate that process

---

Author:	Aditya369nair
Assignees:	-
Labels:	question, extension/ml, customer-reported, Machine Learning, Service Attention, Auto-Assign
Milestone:	-

[diondrapeck]

Tagging @hugoaponte for environments insight

[SouravMalliK]

I too have the same question. Is there any way we could use the equivalent command using components using yaml then use these components to build pipeline.

whl_url = Environment.add_private_pip_wheel(workspace=ws,file_path = wheel_path1, exist_ok=True)

[kshitij-microsoft]

Create an environment in AML with private wheel using CLI v2

1. Create a YAML file for custom environment
   $schema: https://azuremlschemas.azureedge.net/latest/environment.schema.json name: my-custom-environment image: 'mcr.microsoft.com/azureml/base:latest' conda_file: ./env-conda.yml
   custom-env.yaml

`
dependencies:

• python=3.8
• pip:
  -"https://<storage_account_name>.blob.core.windows.net/<container_name>/<whl_file_path>"
  `
  env-conda.yaml

After creating the above 2 files, run the following command to create the environment:

az ml environment create --file custom-env.yml

2. After the env is created, create a job in the custom env.
   experiment_name: my-experiment command: echo "hi world" environment: azureml:my-custom-environment:1 compute: local
   job.yaml

Run the following command:

az ml job create --file job.yml