fluent_container#

Provides a module for launching and configuring local Fluent Docker container runs.

Notes#

For configuration details, see configure_container_dict(), and for a list of additional Docker container run configuration options that can also be specified through the container_dict argument for launch_fluent(), see documentation for Docker run.

For the Fluent Docker container to be able to find license information, the license file or server needs to be specified through the ANSYSLMD_LICENSE_FILE environment variable, or the license_server argument for the container_dict (see configure_container_dict()).

Examples#

Launching a Fluent Docker container with system default configuration:

>>> import ansys.fluent.core as pyfluent
>>> session = pyfluent.launch_fluent(start_container=True)

Launching with custom configuration, using mount_source and fluent_image which are arguments for configure_container_dict(), and auto_remove which is an argument for Docker run:

>>> import ansys.fluent.core as pyfluent
>>> custom_config = {}
>>> custom_config.update(fluent_image='custom_fluent:v23.1.0', mount_source='/testing', auto_remove=False)
>>> session = pyfluent.launch_fluent(container_dict=custom_config)

Getting default Fluent Docker container configuration, then launching with customized configuration:

>>> import ansys.fluent.core as pyfluent
>>> config_dict = pyfluent.launch_fluent(start_container=True, dry_run=True)
Docker container run configuration information:
config_dict =
{'auto_remove': True,
 'command': ['-gu', '-sifile=/mnt/pyfluent/serverinfo-lpqsdldw.txt', '3ddp'],
 'detach': True,
 'environment': {'ANSYSLMD_LICENSE_FILE': '2048@licenseserver.com',
                 'REMOTING_PORTS': '54000/portspan=2'},
 'fluent_image': 'ghcr.io/ansys/pyfluent:v23.2.0',
 'labels': {'test_name': 'none'},
 'ports': {'54000': 54000},
 'volumes': ['/home/user/.local/share/ansys_fluent_core/examples:/mnt/pyfluent'],
 'working_dir': '/mnt/pyfluent'}
>>> config_dict.update(image_name='custom_fluent', image_tag='v23.1.0', mem_limit='1g')
>>> session = pyfluent.launch_fluent(container_dict=config_dict)

Exceptions:

`FluentImageNameTagNotSpecified`()	Raised when Fluent image name or image tag is not specified.
`LicenseServerNotSpecified`()	Raised when license server is not specified.
`ServerInfoFileError`()	Raised when server info file is not given properly.

Functions:

`configure_container_dict`(args[, ...])	Parses the parameters listed below, and sets up the container configuration file.
`start_fluent_container`(args[, container_dict])	Start a Fluent container.

exception ansys.fluent.core.launcher.fluent_container.FluentImageNameTagNotSpecified#

Bases: ValueError

Raised when Fluent image name or image tag is not specified.

Methods:

__init__()

Initializes FluentImageNameTagNotSpecified.

__init__()#: Initializes FluentImageNameTagNotSpecified.

exception ansys.fluent.core.launcher.fluent_container.LicenseServerNotSpecified#

Bases: KeyError

Raised when license server is not specified.

Methods:

__init__()

Initializes LicenseServerNotSpecified.

__init__()#: Initializes LicenseServerNotSpecified.

exception ansys.fluent.core.launcher.fluent_container.ServerInfoFileError#

Bases: ValueError

Raised when server info file is not given properly.

Methods:

__init__()

Initializes ServerInfoFileError.

__init__()#: Initializes ServerInfoFileError.

ansys.fluent.core.launcher.fluent_container.configure_container_dict(args, mount_source=None, mount_target=None, timeout=60, port=None, license_server=None, container_server_info_file=None, remove_server_info_file=True, fluent_image=None, image_name=None, image_tag=None, file_transfer_service=None, **container_dict)#

Parses the parameters listed below, and sets up the container configuration file.

Parameters:

argsList[str]: List of Fluent launch arguments.
mount_sourcestr | Path, optional: Existing path in the host operating system that will be mounted to mount_target.
mount_targetstr | Path, optional: Path inside the container where mount_source will be mounted to.
timeoutint, optional: Time limit for the Fluent container to start, in seconds. By default, 30 seconds.
portint, optional: Port for Fluent container to use.
license_serverstr, optional: License server for Ansys Fluent to use.
container_server_info_filestr | Path, optional: Name of the server information file for Fluent to write on the mount_source.
remove_server_info_filebool, optional: Defaults to True, and automatically deletes the server information file after PyFluent has finished using it.
fluent_imagestr, optional: Specifies full image name for Docker container run, with the format "image_name:image_tag". image_tag and image_name are ignored if fluent_image has been specified.
image_namestr, optional: Ignored if fluent_image has been specified.
image_tagstr, optional: Ignored if fluent_image has been specified.
file_transfer_serviceoptional: Supports file upload and download.
**container_dict: Additional keyword arguments can be specified, they will be treated as Docker container run options to be passed directly to the Docker run execution. See examples below and Docker run documentation.

Returns:

fluent_imagestr
container_dictdict
timeoutint
portint
host_server_info_filePath
remove_server_info_file: bool

Raises:

LicenseServerNotSpecified: If license server is not specified through an environment variable or in container_dict.
ServerInfoFileError: If server info file is specified through both a command-line argument inside container_dict and the container_server_info_file parameter.
FluentImageNameTagNotSpecified: If fluent_image or image_tag and image_name are not specified.

Notes

This function should usually not be called directly, it is automatically used by launch_fluent().

For a list of additional Docker container run configuration options that can also be specified using container_dict, see Docker run documentation.