I created a repository for testing DAB, and I'm getting this error:

run failed with error message
 Python wheel with name dab_test_repo could not be found. Please check the driver logs for more details

This is my databricks.yml:

bundle:
  name: dab_test_repo

# Declare to Databricks Assets Bundles that this is a Python project
artifacts:
  default:
    type: whl
    build: poetry build
    path: .

resources:
  jobs:
    dab_test_repo:
      name: dab_test_repo
      tasks:
        - task_key: solve
          job_cluster_key: ${bundle.target}-${bundle.name}-job-cluster
          python_wheel_task:
             package_name: dab_test_repo
             entry_point: solver
         #  libraries:
         #    - whl: ./dist/*.whl
        - task_key: forecast
          depends_on:
            - task_key: solve
          job_cluster_key: ${bundle.target}-${bundle.name}-job-cluster
          python_wheel_task:
             package_name: dab_test_repo
             entry_point: forecast
          # libraries:
          #   - whl: ./dist/*.whl
        - task_key: regularize
          depends_on:
            - task_key: solve
          job_cluster_key: ${bundle.target}-${bundle.name}-job-cluster
          python_wheel_task:
             package_name: dab_test_repo
             entry_point: regularize
          # libraries:
          #   - whl: ./dist/*.whl
        - task_key: persist_data
          depends_on:
            - task_key: forecast
            - task_key: regularize
          job_cluster_key: ${bundle.target}-${bundle.name}-job-cluster
          python_wheel_task:
             package_name: dab_test_repo
             entry_point: save_in_database
          # libraries:
          #   - whl: ./dist/*.whl

targets:
  dev:
    mode: development
    default: true
    run_as:
      user_name: my_mail@generic_mail.com
    resources:
      jobs:
        dab_test_repo:
          job_clusters:
            - job_cluster_key: ${bundle.target}-${bundle.name}-job-cluster
              new_cluster:
                num_workers: 2
                spark_version: "13.3.x-cpu-ml-scala2.12"  # Specify the Spark version
                node_type_id: Standard_DS3_v2 # Specify the node type

Thanks in advance