This plugin provides tools for working with Ansible inside a JetBrains IDE. An existing Ansible installation is required.
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Run/debug configurations are provided for executing Ansible commands.
A new configuration can be created from the Run > Edit Configurations menu
or by right clicking on a file and using the Ansible context menu.
Use this configuration to install collections and roles using ansible-galaxy. Use a YAML requirements file to create a new Galaxy configuration from the context menu.
Use this configuration to execute plays using ansible-playbook. Use a YAML playbook to create a new Playbook configuration from the context menu.
Per-project settings are found under Settings > Tools > Ansible. These are
used to specify where the Ansible executables are installed. This can be a
regular system install or a Python virtualenv. Optionally, a Docker image
can be used for either installation types (requires Docker Engine on the
host machine). An ansible.cfg file can also be specified in these settings.
For Docker execution, the working directory specified in the run configuration settings becomes the working directory of the Ansible container. Any input files that are not part of the image (playbooks, requirements files, ansible.cfg, etc.) should within this directory. Paths on the host must be relative to the working directory. Use absolute paths to specify files that are part of the image.
Tools for inspecting Network Common Data Form (netCDF) files in any
JetBrains IDE. Right-click on a file in the Project tool window to
access the NetCDF context menu, which offers these actions:
Open the file in the NetCDF tool window. The Schema tab shows the file
structure. Variables selected in this tab will be displayed in the Data tab.
Multiple variables can be selected as long as they have the same dimensions.
The plugin does not yet support pagination, so beware of attempting to view large variables.
Write the file header to a Common Data Language (CDL) file. This is
equivalent to executing ndcump -h.
Write the file header to a NetCDF Markup Language (NcML) file.
Run Configurations for running remote Python commands in a JetBrains IDE that does not have built-in remote Python support. This is not a substitute for the full remote interpreter support in PyCharm Professional and does not support remote development features like code completion or debugging.
Each remote interpreter type has its own run configuration:
Use an OpenSSH-compatible client on the local machine to execute on a remote host via SSH. The client configuration is used for connections (host addresses, proxy settings, SSH keys, etc.)
Use the Docker runtime on the local machine to execute inside a running container, or a temporary container created from an image or Compose service.
Use the Vagrant executable on the local machine to execute inside a virtual machine.