Source code for immuneML.api.galaxy.GalaxyMLApplicationTool

import os
import shutil
from pathlib import Path

import yaml

from immuneML.api.galaxy.GalaxyTool import GalaxyTool
from immuneML.api.galaxy.Util import Util
from immuneML.app.ImmuneMLApp import ImmuneMLApp
from immuneML.util.Logger import print_log
from immuneML.util.ParameterValidator import ParameterValidator
from immuneML.util.PathBuilder import PathBuilder
from immuneML.workflows.instructions.ml_model_application.MLApplicationInstruction import MLApplicationInstruction


[docs] class GalaxyMLApplicationTool(GalaxyTool): def __init__(self, specification_path: Path, result_path: Path, **kwargs): Util.check_parameters(specification_path, result_path, kwargs, GalaxyMLApplicationTool.__name__) super().__init__(specification_path, result_path, **kwargs) def _run(self): PathBuilder.build(self.result_path) self._check_specs() state = ImmuneMLApp(self.yaml_path, self.result_path).run()[0] if os.path.relpath(state.predictions_path) != os.path.relpath(self.result_path / "predictions.csv"): shutil.copy(state.predictions_path, self.result_path / "predictions.csv") print_log("Applied ML model to the dataset, predictions are available.") def _check_specs(self): with open(self.yaml_path, "r") as file: specs = yaml.safe_load(file) instruction_name = Util.check_instruction_type(specs, GalaxyMLApplicationTool.__name__, MLApplicationInstruction.__name__[:-11]) ParameterValidator.assert_keys_present(list(specs['instructions'][instruction_name].keys()), ["dataset", "config_path"], GalaxyMLApplicationTool.__name__, instruction_name) assert os.path.isfile(specs['instructions'][instruction_name]['config_path']), \ f"{GalaxyMLApplicationTool.__name__}: file specified under 'config_path' parameter " \ f"({specs['instructions'][instruction_name]['config_path']}) is not available. Please check if it was correctly uploaded or if the file" \ f" name is correct."