/usr/lib/python3/dist-packages/requests/__init__.py:89: RequestsDependencyWarning: urllib3 (1.25.8) or chardet (5.1.0) doesn't match a supported version!
  warnings.warn("urllib3 ({}) or chardet ({}) doesn't match a supported "
Current configuration (clearml_agent v1.7.0, location: /tmp/.clearml_agent.r_86l8jq.cfg):
----------------------
agent.worker_id = megan-vm
agent.worker_name = vm
agent.force_git_ssh_protocol = true
agent.python_binary = 
agent.package_manager.type = poetry
agent.package_manager.pip_version.0 = <20.2 ; python_version < '3.10'
agent.package_manager.pip_version.1 = <22.3 ; python_version >\= '3.10'
agent.package_manager.system_site_packages = false
agent.package_manager.force_upgrade = false
agent.package_manager.conda_channels.0 = pytorch
agent.package_manager.conda_channels.1 = conda-forge
agent.package_manager.conda_channels.2 = defaults
agent.package_manager.priority_optional_packages.0 = pygobject
agent.package_manager.torch_nightly = false
agent.package_manager.poetry_files_from_repo_working_dir = false
agent.venvs_dir = /home/megan/.clearml/venvs-builds
agent.venvs_cache.max_entries = 10
agent.venvs_cache.free_space_threshold_gb = 2.0
agent.venvs_cache.path = ~/.clearml/venvs-cache
agent.vcs_cache.enabled = true
agent.vcs_cache.path = /home/megan/.clearml/vcs-cache
agent.venv_update.enabled = false
agent.pip_download_cache.enabled = true
agent.pip_download_cache.path = /home/megan/.clearml/pip-download-cache
agent.translate_ssh = true
agent.reload_config = false
agent.docker_pip_cache = /home/megan/.clearml/pip-cache
agent.docker_apt_cache = /home/megan/.clearml/apt-cache
agent.docker_force_pull = false
agent.default_docker.image = nvidia/cuda:11.0.3-cudnn8-runtime-ubuntu20.04
agent.enable_task_env = false
agent.hide_docker_command_env_vars.enabled = true
agent.hide_docker_command_env_vars.parse_embedded_urls = true
agent.abort_callback_max_timeout = 1800
agent.docker_internal_mounts.sdk_cache = /clearml_agent_cache
agent.docker_internal_mounts.apt_cache = /var/cache/apt/archives
agent.docker_internal_mounts.ssh_folder = ~/.ssh
agent.docker_internal_mounts.ssh_ro_folder = /.ssh
agent.docker_internal_mounts.pip_cache = /root/.cache/pip
agent.docker_internal_mounts.poetry_cache = /root/.cache/pypoetry
agent.docker_internal_mounts.vcs_cache = /root/.clearml/vcs-cache
agent.docker_internal_mounts.venv_build = ~/.clearml/venvs-builds
agent.docker_internal_mounts.pip_download = /root/.clearml/pip-download-cache
agent.apply_environment = true
agent.apply_files = true
agent.custom_build_script = 
agent.disable_task_docker_override = false
agent.git_user = 
agent.git_host = 
agent.default_python = 3.8
agent.cuda_version = 0
agent.cudnn_version = 0
api.version = 1.5
api.verify_certificate = true
api.default_version = 1.5
api.http.max_req_size = 15728640
api.http.retries.total = 240
api.http.retries.connect = 240
api.http.retries.read = 240
api.http.retries.redirect = 240
api.http.retries.status = 240
api.http.retries.backoff_factor = 1.0
api.http.retries.backoff_max = 120.0
api.http.wait_on_maintenance_forever = true
api.http.pool_maxsize = 512
api.http.pool_connections = 512
api.web_server = REMOVED
api.api_server = REMOVED
api.files_server = REMOVED
api.credentials.access_key = REMOVED
api.host = REMOVED
sdk.storage.cache.default_base_dir = ~/.clearml/cache
sdk.storage.cache.size.min_free_bytes = 10GB
sdk.storage.direct_access.0.url = file://*
sdk.metrics.file_history_size = 100
sdk.metrics.matplotlib_untitled_history_size = 100
sdk.metrics.images.format = JPEG
sdk.metrics.images.quality = 87
sdk.metrics.images.subsampling = 0
sdk.metrics.tensorboard_single_series_per_graph = false
sdk.network.metrics.file_upload_threads = 4
sdk.network.metrics.file_upload_starvation_warning_sec = 120
sdk.network.iteration.max_retries_on_server_error = 5
sdk.network.iteration.retry_backoff_factor_sec = 10
sdk.network.file_upload_retries = 3
sdk.aws.s3.key = 
sdk.aws.s3.region = 
sdk.aws.s3.use_credentials_chain = true
sdk.aws.boto3.pool_connections = 512
sdk.aws.boto3.max_multipart_concurrency = 16
sdk.log.null_log_propagate = false
sdk.log.task_log_buffer_capacity = 66
sdk.log.disable_urllib3_info = true
sdk.development.task_reuse_time_window_in_hours = 72.0
sdk.development.vcs_repo_detect_async = true
sdk.development.store_uncommitted_code_diff = true
sdk.development.support_stopping = true
sdk.development.default_output_uri = 
sdk.development.force_analyze_entire_repo = false
sdk.development.suppress_update_message = false
sdk.development.detect_with_pip_freeze = false
sdk.development.worker.report_period_sec = 2
sdk.development.worker.ping_period_sec = 30
sdk.development.worker.log_stdout = true
sdk.development.worker.report_global_mem_used = false
sdk.development.worker.report_event_flush_threshold = 100
sdk.development.worker.console_cr_flush_period = 10
sdk.apply_environment = false
sdk.apply_files = false
Executing task id [c4d9ca4361e54816b0ee4ea93d3e1dce]:
repository = REMOVED
branch = REMOVED
version_num = b75e26e30470a5087ef38caa32f285c5b394a543
tag = 
docker_cmd = 
entry_point = clearml_pipeline/schedule.py
working_dir = .
/usr/bin/python3.10: No module named virtualenv
clearml_agent: ERROR: Command '['python3.10', '-m', 'virtualenv', '/home/megan/.clearml/venvs-builds/3.10']' returned non-zero exit status 1.

This is schedule.py where the schedule_task_id is the id for a pipeline that has previously been run and now we want to schedule it:

from clearml import Task
from clearml.automation import TaskScheduler

if __name__ == "__main__":

    scheduler = TaskScheduler(force_create_task_name='megan-test-remote-pipeline')

    scheduler.add_task(
        name='Simple Pipeline Schedule Run Test',
        schedule_task_id='94a7e898bb3f4494a31828187710f5bd',
        queue='megan_testing',
        minute=2,
        weekdays=['monday', 'tuesday', 'wednesday', 'thursday', 'friday'],
        recurring=True,
        execute_immediately=True
    )

    scheduler.start_remotely(queue='megan-testing')

    print('This line will run remotely')

I've tried changing the clearml.conf file to specify the python_binary with:

 python_binary: "usr/bin/python3"

But, still getting the same error.

Hi @<1654294828365647872:profile|GorgeousShrimp11> , it appears the issue is due to running with different python versions. It looks like the python you're running the agent on, doesn't have virtualenv

Thanks @<1523701070390366208:profile|CostlyOstrich36> , I've figured this out and specified how to build the ClearML agent now with the correct python version.