File: TestGalaxyDatasetCollections.py

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import os
import tarfile
import tempfile
from inspect import signature
from typing import (
    Any,
    Dict,
    Union,
)
from zipfile import ZipFile

from bioblend.galaxy import dataset_collections
from . import GalaxyTestBase


class TestGalaxyDatasetCollections(GalaxyTestBase.GalaxyTestBase):
    def test_create_list_in_history(self):
        history_id = self.gi.histories.create_history(name="TestDSListCreate")["id"]
        dataset1_id = self._test_dataset(history_id)
        dataset2_id = self._test_dataset(history_id)
        dataset3_id = self._test_dataset(history_id)
        collection_response = self.gi.histories.create_dataset_collection(
            history_id=history_id,
            collection_description=dataset_collections.CollectionDescription(
                name="MyDatasetList",
                elements=[
                    dataset_collections.HistoryDatasetElement(name="sample1", id=dataset1_id),
                    dataset_collections.HistoryDatasetElement(name="sample2", id=dataset2_id),
                    dataset_collections.HistoryDatasetElement(name="sample3", id=dataset3_id),
                ],
            ),
        )
        assert collection_response["name"] == "MyDatasetList"
        assert collection_response["collection_type"] == "list"
        elements = collection_response["elements"]
        assert len(elements) == 3
        assert elements[0]["element_index"] == 0
        assert elements[0]["object"]["id"] == dataset1_id
        assert elements[1]["object"]["id"] == dataset2_id
        assert elements[2]["object"]["id"] == dataset3_id
        assert elements[2]["element_identifier"] == "sample3"

    def test_create_list_of_paired_datasets_in_history(self):
        history_id = self.gi.histories.create_history(name="TestDSListCreate")["id"]
        dataset1_id = self._test_dataset(history_id)
        dataset2_id = self._test_dataset(history_id)
        dataset3_id = self._test_dataset(history_id)
        dataset4_id = self._test_dataset(history_id)
        collection_response = self.gi.histories.create_dataset_collection(
            history_id=history_id,
            collection_description=dataset_collections.CollectionDescription(
                name="MyListOfPairedDatasets",
                type="list:paired",
                elements=[
                    dataset_collections.CollectionElement(
                        name="sample1",
                        type="paired",
                        elements=[
                            dataset_collections.HistoryDatasetElement(name="forward", id=dataset1_id),
                            dataset_collections.HistoryDatasetElement(name="reverse", id=dataset2_id),
                        ],
                    ),
                    dataset_collections.CollectionElement(
                        name="sample2",
                        type="paired",
                        elements=[
                            dataset_collections.HistoryDatasetElement(name="forward", id=dataset3_id),
                            dataset_collections.HistoryDatasetElement(name="reverse", id=dataset4_id),
                        ],
                    ),
                ],
            ),
        )
        assert collection_response["name"] == "MyListOfPairedDatasets"
        assert collection_response["collection_type"] == "list:paired"
        elements = collection_response["elements"]
        assert len(elements) == 2
        assert elements[0]["element_index"] == 0
        created_pair1 = elements[0]["object"]
        assert created_pair1["collection_type"] == "paired"
        assert len(created_pair1["elements"]) == 2
        forward_element1 = created_pair1["elements"][0]
        assert forward_element1["element_identifier"] == "forward"
        assert forward_element1["element_index"] == 0
        forward_dataset1 = forward_element1["object"]
        assert forward_dataset1["id"] == dataset1_id

        assert elements[1]["element_index"] == 1
        created_pair2 = elements[1]["object"]
        assert created_pair2["collection_type"] == "paired"
        assert len(created_pair2["elements"]) == 2
        reverse_element2 = created_pair2["elements"][1]
        reverse_dataset2 = reverse_element2["object"]

        assert reverse_element2["element_identifier"] == "reverse"
        assert reverse_element2["element_index"] == 1
        assert reverse_dataset2["id"] == dataset4_id

    def test_collections_in_history_index(self):
        history_id = self.gi.histories.create_history(name="TestHistoryDSIndex")["id"]
        history_dataset_collection = self._create_pair_in_history(history_id)
        contents = self.gi.histories.show_history(history_id, contents=True)
        assert len(contents) == 3
        assert contents[2]["id"] == history_dataset_collection["id"]
        assert contents[2]["name"] == "MyTestPair"
        assert contents[2]["collection_type"] == "paired"

    def test_show_history_dataset_collection(self):
        history_id = self.gi.histories.create_history(name="TestHistoryDSIndexShow")["id"]
        history_dataset_collection = self._create_pair_in_history(history_id)
        show_response = self.gi.histories.show_dataset_collection(history_id, history_dataset_collection["id"])
        for key in ["collection_type", "elements", "name", "deleted", "visible"]:
            assert key in show_response
        assert not show_response["deleted"]
        assert show_response["visible"]

    def test_delete_history_dataset_collection(self):
        history_id = self.gi.histories.create_history(name="TestHistoryDSDelete")["id"]
        history_dataset_collection = self._create_pair_in_history(history_id)
        self.gi.histories.delete_dataset_collection(history_id, history_dataset_collection["id"])
        show_response = self.gi.histories.show_dataset_collection(history_id, history_dataset_collection["id"])
        assert show_response["deleted"]

    def test_update_history_dataset_collection(self):
        history_id = self.gi.histories.create_history(name="TestHistoryDSDelete")["id"]
        history_dataset_collection = self._create_pair_in_history(history_id)
        self.gi.histories.update_dataset_collection(history_id, history_dataset_collection["id"], visible=False)
        show_response = self.gi.histories.show_dataset_collection(history_id, history_dataset_collection["id"])
        assert not show_response["visible"]

    def test_show_dataset_collection(self):
        history_id = self.gi.histories.create_history(name="TestDatasetCollectionShow")["id"]
        dataset_collection1 = self._create_pair_in_history(history_id)
        dataset_collection2 = self.gi.dataset_collections.show_dataset_collection(dataset_collection1["id"])
        for key in (
            "collection_type",
            "deleted",
            "id",
            "hid",
            "history_content_type",
            "history_id",
            "name",
            "url",
            "visible",
        ):
            assert dataset_collection1[key] == dataset_collection2[key]
        for element1, element2 in zip(dataset_collection1["elements"], dataset_collection2["elements"]):
            assert element1["id"] == element2["id"]
            assert element1.keys() == element2.keys()
            for key in element1["object"].keys():
                assert key in element2["object"].keys()

    def test_download_dataset_collection(self):
        history_id = self.gi.histories.create_history(name="TestDatasetCollectionDownload")["id"]
        dataset_collection_id = self._create_pair_in_history(history_id)["id"]
        self.gi.dataset_collections.wait_for_dataset_collection(dataset_collection_id)

        tempdir = tempfile.mkdtemp(prefix="bioblend_test_dataset_collection_download_")
        archive_path = os.path.join(tempdir, "dataset_collection")
        archive_type = self.gi.dataset_collections.download_dataset_collection(
            dataset_collection_id, file_path=archive_path
        )["archive_type"]
        expected_contents = signature(self._test_dataset).parameters["contents"].default + "\n"
        extract_dir_path = os.path.join(tempdir, "extracted_files")
        os.mkdir(extract_dir_path)

        if archive_type == "zip":
            archive: Union[ZipFile, tarfile.TarFile] = ZipFile(archive_path)
        elif archive_type == "tgz":
            archive = tarfile.open(archive_path)

        archive.extractall(extract_dir_path)
        for fname in os.listdir(extract_dir_path):
            dataset_dir_path = os.path.join(extract_dir_path, fname)
            file_path = os.path.join(dataset_dir_path, os.listdir(dataset_dir_path)[0])
            with open(file_path) as f:
                assert expected_contents == f.read()
        archive.close()

    def test_wait_for_dataset_collection(self):
        history_id = self.gi.histories.create_history(name="TestDatasetCollectionWait")["id"]
        dataset_collection_id = self._create_pair_in_history(history_id)["id"]
        dataset_collection = self.gi.dataset_collections.wait_for_dataset_collection(dataset_collection_id)
        for element in dataset_collection["elements"]:
            assert element["object"]["state"] == "ok"

    def _create_pair_in_history(self, history_id: str) -> Dict[str, Any]:
        dataset1_id = self._test_dataset(history_id)
        dataset2_id = self._test_dataset(history_id)
        collection_response = self.gi.histories.create_dataset_collection(
            history_id=history_id,
            collection_description=dataset_collections.CollectionDescription(
                name="MyTestPair",
                type="paired",
                elements=[
                    dataset_collections.HistoryDatasetElement(name="forward", id=dataset1_id),
                    dataset_collections.HistoryDatasetElement(name="reverse", id=dataset2_id),
                ],
            ),
        )
        return collection_response