I want to update the ci environment but it is referring to the old env only how can I update ??

[sukhejai]

Hi,

Want to understand how and when /usr/local/envs/mlopspython_ci CI environment is created. I am trying to put some new dependencies in ci_dependencies.yml to install some new dependencies.

But the CI pipeline is referring to the old env only. Its not updating the conda dependencies.

[lokijota]

Hi,

not sure if this helps, but here's a suggestion. In the YOURMODEL_regression_build_train_pipeline.py file, there's this section:

  # Create a reusable Azure ML environment
    environment = get_environment(
        aml_workspace,
        e.aml_env_name,
        conda_dependencies_file=e.aml_env_train_conda_dep_file,
        create_new=e.rebuild_env,
    )  #
    run_config = RunConfiguration()
    run_config.environment = environment

Can you comment the get_environment call and also the assignment at the end, and replace this latest call with something like:

run_config.environment = Environment.from_conda_specification(name="scoringenv", file_path="YOURMODEL/conda_dependencies.yml")

Not sure if that's the problem you're having, but the default code reuses the environment, and it seems you need to create a new one.