Esempio n. 1
0
def restart(
    start: str,
    results: str,
    skip_stages: Optional[List[str]] = None,
    end: Optional[str] = None,
    config: Optional[str] = None,
    cores: Optional[int] = None,
    memory: Optional[int] = None,
) -> None:
    """Restart a QUBEKit parametrisation job from the given stage.
    Must be started from within an old workflow folder.
    """
    # try and load the results file
    results = WorkFlowResult.parse_file(results)

    if config is None:
        # if we have no new config load from results
        workflow = prep_config(results=results, cores=cores, memory=memory)
    else:
        # load the new config file
        workflow = prep_config(config_file=config, cores=cores, memory=memory)

    # now run the workflow
    workflow.restart_workflow(start=start,
                              result=results,
                              skip_stages=skip_stages,
                              end=end)
Esempio n. 2
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def run(
    input_file: Optional[str] = None,
    smiles: Optional[str] = None,
    name: Optional[str] = None,
    multiplicity: int = 1,
    end: Optional[str] = None,
    skip_stages: Optional[List[str]] = None,
    config: Optional[str] = None,
    protocol: Optional[str] = None,
    cores: Optional[int] = None,
    memory: Optional[int] = None,
):
    """Run the QUBEKit parametrisation workflow on an input molecule."""
    # make sure we have an input or smiles not both
    if input_file is not None and smiles is not None:
        raise RuntimeError(
            "Please supply either the name of the input file or a smiles string not both."
        )
    # load the molecule
    if input_file is not None:
        molecule = Ligand.from_file(file_name=input_file,
                                    multiplicity=multiplicity)
    else:
        if name is None:
            raise RuntimeError(
                "Please also pass a name for the molecule when starting from smiles."
            )
        molecule = Ligand.from_smiles(smiles_string=smiles,
                                      name=name,
                                      multiplicity=multiplicity)

    # load workflow
    workflow = prep_config(config_file=config,
                           memory=memory,
                           cores=cores,
                           protocol=protocol)

    # move into the working folder and run
    with folder_setup(
            f"QUBEKit_{molecule.name}_{datetime.now().strftime('%Y_%m_%d')}"):
        # write the starting molecule
        molecule.to_file(file_name=f"{molecule.name}.pdb")
        workflow.new_workflow(molecule=molecule,
                              skip_stages=skip_stages,
                              end=end)
Esempio n. 3
0
def run(
    bulk_file: str,
    skip_stages: Optional[List[str]] = None,
    end: Optional[str] = None,
    restart: Optional[str] = None,
    config: Optional[str] = None,
    protocol: Optional[str] = None,
    cores: Optional[int] = None,
    memory: Optional[int] = None,
) -> None:
    """Run the QUBEKit parametrisation workflow on a collection of molecules in serial.

    Loop over the molecules in order of the CSV file.
    """
    import glob
    import os

    from qubekit.utils.helpers import mol_data_from_csv

    home = os.getcwd()
    # load all inputs
    bulk_data = mol_data_from_csv(bulk_file)

    # start main molecule loop
    for name, mol_data in bulk_data.items():
        print(f"Analysing: {name}")
        try:
            if restart is not None or mol_data["restart"] is not None:
                # we are trying to restart a run, find the folder
                # should only be one
                fname = name.split(".")[0]
                folder = glob.glob(f"QUBEKit_{fname}_*")[0]
                with folder_setup(folder):
                    results = WorkFlowResult.parse_file("workflow_result.json")
                    if config is None:
                        # if we have no new config load from results
                        workflow = prep_config(
                            results=results, cores=cores, memory=memory, protocol=None
                        )
                    else:
                        # load the new config file
                        workflow = prep_config(
                            config_file=config, cores=cores, memory=memory
                        )

                    workflow.restart_workflow(
                        start=restart or mol_data["restart"],
                        skip_stages=skip_stages,
                        end=end or mol_data["end"],
                        result=results,
                    )

            else:
                if mol_data["smiles"] is not None:
                    molecule = Ligand.from_smiles(
                        smiles_string=mol_data["smiles"], name=name
                    )
                else:
                    molecule = Ligand.from_file(file_name=name)

                # load the CLI config or the csv config, else default
                workflow = prep_config(
                    config_file=config or mol_data["config_file"],
                    memory=memory,
                    cores=cores,
                    protocol=protocol,
                )
                # move into the working folder and run
                with folder_setup(
                    f"QUBEKit_{molecule.name}_{datetime.now().strftime('%Y_%m_%d')}"
                ):
                    # write the starting molecule
                    molecule.to_file(file_name=f"{molecule.name}.pdb")
                    workflow.new_workflow(
                        molecule=molecule,
                        skip_stages=skip_stages,
                        end=end or mol_data["end"],
                    )
        except WorkFlowExecutionError:
            os.chdir(home)
            print(
                f"An error was encountered while running {name} see folder for more info."
            )
            continue