Source code for immuneML.presentation.html.SubsamplingHTMLBuilder

from pathlib import Path

from immuneML.environment.EnvironmentSettings import EnvironmentSettings
from immuneML.ml_methods.util.Util import Util as MLUtil
from immuneML.presentation.TemplateParser import TemplateParser
from immuneML.presentation.html.Util import Util
from immuneML.util.PathBuilder import PathBuilder
from immuneML.util.StringHelper import StringHelper
from immuneML.workflows.instructions.subsampling.SubsamplingState import SubsamplingState


[docs] class SubsamplingHTMLBuilder: """ A class that will make a HTML file(s) out of SubsamplingState object to show what analysis took place in the SubsamplingInstruction. """ CSS_PATH = EnvironmentSettings.html_templates_path / "css/custom.css"
[docs] @staticmethod def build(state: SubsamplingState) -> str: """ Function that builds the HTML files based on the Subsampling state. Arguments: state: SubsamplingState object including all details of the Subsampling instruction Returns: path to the main HTML file (which is located under state.result_path) """ base_path = PathBuilder.build(state.result_path / "../HTML_output/") html_map = SubsamplingHTMLBuilder.make_html_map(state, base_path) result_file = base_path / f"Subsampling_{state.name}.html" TemplateParser.parse(template_path=EnvironmentSettings.html_templates_path / "Subsampling.html", template_map=html_map, result_path=result_file) return result_file
[docs] @staticmethod def make_html_map(state: SubsamplingState, base_path: Path) -> dict: html_map = { "css_style": Util.get_css_content(SubsamplingHTMLBuilder.CSS_PATH), "name": state.name, 'immuneML_version': MLUtil.get_immuneML_version(), "full_specs": Util.get_full_specs_path(base_path), "dataset_name": state.dataset.name if state.dataset.name is not None else state.dataset.identifier, "labels": [{"label_name": label} for label in state.dataset.get_label_names()], "dataset_type": StringHelper.camel_case_to_word_string(type(state.dataset).__name__), "example_count": state.dataset.get_example_count(), "subsampled_datasets": [{"sub_dataset_iter": i, "sub_dataset_name": dataset.name, "dataset_size": f"{dataset.get_example_count()} {type(dataset).__name__.replace('Dataset', 's').lower()}", "formats": [{"dataset_download_link": item, "format_name": key} for key, item in state.subsampled_dataset_paths[dataset.name].items()]} for i, dataset in enumerate(state.subsampled_datasets, 1)] } return html_map