CLI basics#
The openfe
command consists of several subcommands. This is similar to
tools like gmx
, which has subcommands like gmx mdrun
, or conda
,
which has subcommands like conda install
.
To get a list of the subcommands and their descriptions, call openfe
(or
openfe -h
):
Usage: openfe [OPTIONS] COMMAND [ARGS]...
This is the command line tool to provide easy access to functionality from
the OpenFE Python library.
Options:
--version Show the version and exit.
--log PATH logging configuration file
-h, --help Show this message and exit.
Network Planning Commands:
view-ligand-network Visualize a ligand network
plan-rbfe-network Plan a relative binding free energy network, saved as
JSON files for the quickrun command.
plan-rhfe-network Plan a relative hydration free energy network, saved as
JSON files for the quickrun command.
Quickrun Executor Commands:
gather Gather result jsons for network of RFE results into a TSV file
quickrun Run a given transformation, saved as a JSON file
Miscellaneous Commands:
fetch Fetch tutorial or other resource.
charge-molecules Generate partial charges for a set of molecules.
test Run the OpenFE test suite
The --log
option takes a logging configuration file and sets that
logging behavior. If you use it, it must come before the subcommand name.
You can find out more about each subcommand by putting --help
after
the subcommand name, e.g., openfe quickrun --help
, which returns
Usage: openfe quickrun [OPTIONS] TRANSFORMATION
Run the transformation (edge) in the given JSON file.
Simulation JSON files can be created with the :ref:`cli_plan-rbfe-network`
or from Python a :class:`.Transformation` can be saved using its ``to_json``
method::
transformation.to_json("filename.json")
That will save a JSON file suitable to be input for this command.
Running this command will execute the simulation defined in the JSON file,
creating a directory for each individual task (``Unit``) in the workflow.
For example, when running the OpenMM HREX Protocol a directory will be
created for each repeat of the sampling process (by default 3).
Options:
-d, --work-dir DIRECTORY directory to store files in (defaults to current
directory)
-o FILE output file (JSON format) for the final results
-h, --help Show this message and exit.
For more details on various commands, see the CLI Reference.