Dear all, I am trying to launch a slurm job with pulsar using CLI (instead of drmaa). The pulsar playbook below pass without problem but the analyses is still run out of slurm. The analyses is excited with success but not in a slrum job. Can you help me to launch slurm with pulsar ? What did I miss? Thanks, Luc ``` # Put your Galaxy server's fully qualified domain name (FQDN) (or the FQDN of the RabbitMQ server) above. pulsar_root: /opt/pulsar pulsar_pip_install: true pulsar_pycurl_ssl_library: openssl pulsar_systemd: true pulsar_systemd_runner: webless pulsar_create_user: false pulsar_user: {name: pulsar, shell: /bin/bash} pulsar_optional_dependencies: - pyOpenSSL # For remote transfers initiated on the Pulsar end rather than the Galaxy end - pycurl # drmaa required if connecting to an external DRM using it. - drmaa # kombu needed if using a message queue - kombu # amqp 5.0.3 changes behaviour in an unexpected way, pin for now. - 'amqp==5.0.2' # psutil and pylockfile are optional dependencies but can make Pulsar # more robust in small ways. - psutil pulsar_yaml_config: conda_auto_init: True conda_auto_install: True staging_directory: "{{ pulsar_staging_dir }}" persistence_directory: "{{ pulsar_persistence_dir }}" tool_dependency_dir: "{{ pulsar_dependencies_dir }}" # The following are the settings for the pulsar server to contact the message queue with related timeouts etc. message_queue_url: "pyamqp://galaxy_au:{{ rabbitmq_password_galaxy_au }}@{{ galaxy_server_url }}:5671//pulsar/galaxy_au?ssl=1" managers: _default_: type: queued_cli job_plugin: slurm native_specification: "-p batch --tasks=1 --cpus-per-task=2 --mem-per-cpu=1000 -t 10:00" min_polling_interval: 0.5 amqp_publish_retry: True amqp_publish_retry_max_retries: 5 amqp_publish_retry_interval_start: 10 amqp_publish_retry_interval_step: 10 amqp_publish_retry_interval_max: 60 # We also need to create the dependency resolver file so pulsar knows how to # find and install dependencies for the tools we ask it to run. The simplest # method which covers 99% of the use cases is to use conda auto installs similar # to how Galaxy works. pulsar_dependency_resolvers: - name: conda args: - name: auto_init value: true ``` ------------ Luc Cornet, PhD Bio-informatician Mycology and Aerobiology Sciensano