Source code for immuneML.api.galaxy.DataSimulationTool
import logging
import shutil
from pathlib import Path
import yaml
from immuneML.api.galaxy.GalaxyTool import GalaxyTool
from immuneML.api.galaxy.Util import Util
from immuneML.util.ParameterValidator import ParameterValidator
from immuneML.workflows.instructions.dataset_generation.DatasetExportInstruction import DatasetExportInstruction
[docs]
class DataSimulationTool(GalaxyTool):
def __init__(self, specification_path: Path, result_path: Path, **kwargs):
Util.check_parameters(specification_path, result_path, kwargs, DataSimulationTool.__name__)
super().__init__(specification_path, result_path, **kwargs)
self.expected_instruction = DatasetExportInstruction.__name__[:-11]
self.instruction_name = None
self.dataset_name = None
self.export_format = None
def _run(self):
self.prepare_specs()
Util.run_tool(self.yaml_path, self.result_path)
dataset_location = self.result_path / f"{self.instruction_name}/{self.dataset_name}/{self.export_format}/"
shutil.copytree(dataset_location, self.result_path / 'result/')
logging.info(f"{DataSimulationTool.__name__}: immuneML has finished and the dataset was created.")
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def prepare_specs(self):
with self.yaml_path.open("r") as file:
specs = yaml.safe_load(file)
self.instruction_name = Util.check_instruction_type(specs, DataSimulationTool.__name__, self.expected_instruction)
self.export_format = Util.check_export_format(specs, DataSimulationTool.__name__, self.instruction_name)
ParameterValidator.assert_keys_present(specs["definitions"], ["datasets"], DataSimulationTool.__name__, "definitions/datasets")
ParameterValidator.assert_type_and_value(specs['definitions']['datasets'], dict, DataSimulationTool.__name__, "definitions/datasets")
self.dataset_name = "dataset"
Util.update_dataset_key(specs, DataSimulationTool.__name__, self.dataset_name)
Util.check_paths(specs, DataSimulationTool.__name__)
Util.update_result_paths(specs, self.result_path, self.yaml_path)