mirror of
https://github.com/galaxyproject/galaxy.git
synced 2026-11-03 12:53:35 +08:00
Nicola Soranzo
1b54c0bcd8
This is configurable with two new options: - `calculate_dataset_hash`: in which cases Galaxy should calculate a hash for a new dataset. Possible values: 'always', 'upload' (the default), 'never'. - `hash_function`. Possible values: 'md5', 'sha1', 'sha256', 'sha512' Hashes are calculated via a Celery task, so currently only if the 'enable_celery_tasks' option is set to true.
50 lines
2.2 KiB
Python
50 lines
2.2 KiB
Python
from typing import Optional
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from galaxy_test.base.populators import DatasetPopulator
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from galaxy_test.driver import integration_util
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class TestDatasetHashingIntegration(integration_util.IntegrationTestCase):
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dataset_populator: DatasetPopulator
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calculate_dataset_hash: Optional[str] = None
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def setUp(self) -> None:
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super().setUp()
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self.dataset_populator = DatasetPopulator(self.galaxy_interactor)
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@classmethod
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def handle_galaxy_config_kwds(cls, config) -> None:
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super().handle_galaxy_config_kwds(config)
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if cls.calculate_dataset_hash is not None:
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config["enable_celery_tasks"] = True
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config["calculate_dataset_hash"] = cls.calculate_dataset_hash
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def test_hashing(self, history_id: str) -> None:
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hda = self.dataset_populator.new_dataset(history_id, wait=True)
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if self.calculate_dataset_hash in [None, "always", "upload"]:
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hashes = self.dataset_populator.wait_for_dataset_hashes(history_id=history_id, dataset_id=hda["id"])
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assert hashes[0]["hash_value"] == "a17dcdfd36f47303a4824f1309d43ac14d7491ab3b8abb28782ac8e8d3b680ea"
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else:
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assert hda["hashes"] == [], hda
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inputs = {"input1": {"src": "hda", "id": hda["id"]}}
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run_response = self.dataset_populator.run_tool_raw("cat1", inputs=inputs, history_id=history_id)
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self.dataset_populator.wait_for_tool_run(history_id=history_id, run_response=run_response)
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cat_dataset = self.dataset_populator.get_history_dataset_details(history_id=history_id)
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if self.calculate_dataset_hash == "always":
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hashes = self.dataset_populator.wait_for_dataset_hashes(history_id=history_id, dataset_id=cat_dataset["id"])
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assert hashes[0]["hash_value"] == "a17dcdfd36f47303a4824f1309d43ac14d7491ab3b8abb28782ac8e8d3b680ea"
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else:
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assert cat_dataset["hashes"] == [], cat_dataset
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class TestDatasetHashingAlwaysIntegration(TestDatasetHashingIntegration):
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calculate_dataset_hash = "always"
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class TestDatasetHashingUploadIntegration(TestDatasetHashingIntegration):
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calculate_dataset_hash = "upload"
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class TestDatasetHashingNeverIntegration(TestDatasetHashingIntegration):
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calculate_dataset_hash = "never"
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