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test_datasets.py
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test_datasets.py
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import json
import textwrap
from galaxy_test.base.populators import (
DatasetCollectionPopulator,
DatasetPopulator,
skip_without_tool,
)
from ._framework import ApiTestCase
class DatasetsApiTestCase(ApiTestCase):
def setUp(self):
super().setUp()
self.dataset_populator = DatasetPopulator(self.galaxy_interactor)
self.dataset_collection_populator = DatasetCollectionPopulator(self.galaxy_interactor)
self.history_id = self.dataset_populator.new_history()
def test_index(self):
index_response = self._get("datasets")
self._assert_status_code_is(index_response, 200)
def test_search_datasets(self):
hda_id = self.dataset_populator.new_dataset(self.history_id)['id']
payload = {'limit': 1, 'offset': 0}
index_response = self._get("datasets", payload).json()
assert len(index_response) == 1
assert index_response[0]['id'] == hda_id
hdca_id = self.dataset_collection_populator.create_list_in_history(self.history_id,
contents=["1\n2\n3"]).json()['id']
payload = {'limit': 3, 'offset': 0}
index_response = self._get("datasets", payload).json()
assert len(index_response) == 3
assert index_response[0]['id'] == hdca_id
assert index_response[0]['history_content_type'] == 'dataset_collection'
assert index_response[2]['id'] == hda_id
assert index_response[2]['history_content_type'] == 'dataset'
payload = {'limit': 2, 'offset': 0, 'q': ['history_content_type'], 'qv': ['dataset']}
index_response = self._get("datasets", payload).json()
assert index_response[1]['id'] == hda_id
def test_search_by_tag(self):
hda_id = self.dataset_populator.new_dataset(self.history_id)['id']
update_payload = {
'tags': ['cool:new_tag', 'cool:another_tag'],
}
updated_hda = self._put(
f"histories/{self.history_id}/contents/{hda_id}",
update_payload).json()
assert 'cool:new_tag' in updated_hda['tags']
assert 'cool:another_tag' in updated_hda['tags']
payload = {'limit': 10, 'offset': 0, 'q': ['history_content_type', 'tag'], 'qv': ['dataset', 'cool:new_tag']}
index_response = self._get("datasets", payload).json()
assert len(index_response) == 1
payload = {'limit': 10, 'offset': 0, 'q': ['history_content_type', 'tag-contains'],
'qv': ['dataset', 'new_tag']}
index_response = self._get("datasets", payload).json()
assert len(index_response) == 1
payload = {'limit': 10, 'offset': 0, 'q': ['history_content_type', 'tag-contains'], 'qv': ['dataset', 'notag']}
index_response = self._get("datasets", payload).json()
assert len(index_response) == 0
def test_search_by_tool_id(self):
self.dataset_populator.new_dataset(self.history_id)
payload = {'limit': 1, 'offset': 0, 'q': ['history_content_type', 'tool_id'], 'qv': ['dataset', 'upload1']}
assert len(self._get("datasets", payload).json()) == 1
payload = {'limit': 1, 'offset': 0, 'q': ['history_content_type', 'tool_id'], 'qv': ['dataset', 'uploadX']}
assert len(self._get("datasets", payload).json()) == 0
payload = {'limit': 1, 'offset': 0, 'q': ['history_content_type', 'tool_id-contains'], 'qv': ['dataset', 'pload1']}
assert len(self._get("datasets", payload).json()) == 1
self.dataset_collection_populator.create_list_in_history(self.history_id,
name="search by tool id",
contents=["1\n2\n3"]).json()
self.dataset_populator.wait_for_history(self.history_id)
payload = {'limit': 10, 'offset': 0, 'history_id': self.history_id, 'q': ['name', 'tool_id'],
'qv': ['search by tool id', 'upload1']}
result = self._get("datasets", payload).json()
assert result[0]['name'] == 'search by tool id', result
payload = {'limit': 1, 'offset': 0, 'q': ['history_content_type', 'tool_id'],
'qv': ['dataset_collection', 'uploadX']}
result = self._get("datasets", payload).json()
assert len(result) == 0
def test_invalid_search(self):
payload = {'limit': 10, 'offset': 0, 'q': ['history_content_type', 'tag-invalid_op'], 'qv': ['dataset', 'notag']}
index_response = self._get("datasets", payload)
self._assert_status_code_is(index_response, 400)
assert index_response.json()['err_msg'] == 'bad op in filter'
def test_search_returns_only_accessible(self):
hda_id = self.dataset_populator.new_dataset(self.history_id)['id']
with self._different_user():
payload = {'limit': 10, 'offset': 0, 'q': ['history_content_type'], 'qv': ['dataset']}
index_response = self._get("datasets", payload).json()
for item in index_response:
assert hda_id != item['id']
def test_show(self):
hda1 = self.dataset_populator.new_dataset(self.history_id)
show_response = self._get(f"datasets/{hda1['id']}")
self._assert_status_code_is(show_response, 200)
self.__assert_matches_hda(hda1, show_response.json())
def __assert_matches_hda(self, input_hda, query_hda):
self._assert_has_keys(query_hda, "id", "name")
assert input_hda["name"] == query_hda["name"]
assert input_hda["id"] == query_hda["id"]
def test_display(self):
contents = textwrap.dedent("""\
1 2 3 4
A B C D
10 20 30 40
""")
hda1 = self.dataset_populator.new_dataset(self.history_id, content=contents)
self.dataset_populator.wait_for_history(self.history_id)
display_response = self._get(f"histories/{self.history_id}/contents/{hda1['id']}/display", {
'raw': 'True'
})
self._assert_status_code_is(display_response, 200)
assert display_response.text == contents
def test_tag_change(self):
hda_id = self.dataset_populator.new_dataset(self.history_id)['id']
payload = json.dumps({
'item_id': hda_id,
'item_class': 'HistoryDatasetAssociation',
'item_tags': ['cool:tag_a', 'cool:tag_b', 'tag_c', 'name:tag_d', '#tag_e'],
})
put_response = self._put("tags", data=payload, headers={'Content-Type': 'application/json'})
self._assert_status_code_is_ok(put_response)
updated_hda = self._get(
f"histories/{self.history_id}/contents/{hda_id}").json()
assert 'cool:tag_a' in updated_hda['tags']
assert 'cool:tag_b' in updated_hda['tags']
assert 'tag_c' in updated_hda['tags']
assert 'name:tag_d' in updated_hda['tags']
assert 'name:tag_e' in updated_hda['tags']
@skip_without_tool("cat_data_and_sleep")
def test_update_datatype(self):
hda_id = self.dataset_populator.new_dataset(self.history_id)['id']
original_hda = self._get(
f"histories/{self.history_id}/contents/{hda_id}").json()
assert original_hda['extension'] == 'txt'
assert original_hda['data_type'] == 'galaxy.datatypes.data.Text'
assert 'scatterplot' not in [viz['name'] for viz in original_hda['visualizations']]
inputs = {
'input1': {'src': 'hda', 'id': hda_id},
'sleep_time': 10,
}
run_response = self.dataset_populator.run_tool(
"cat_data_and_sleep",
inputs,
self.history_id,
assert_ok=False,
)
queued_id = run_response.json()["outputs"][0]["id"]
update_while_incomplete_response = self._put( # try updating datatype while used as output of a running job
f"histories/{self.history_id}/contents/{queued_id}",
{'datatype': 'tabular'})
self._assert_status_code_is(update_while_incomplete_response, 400)
self.dataset_populator.wait_for_history_jobs(self.history_id) # now wait for upload to complete
successful_updated_hda_response = self._put(
f"histories/{self.history_id}/contents/{hda_id}",
{'datatype': 'tabular'}).json()
assert successful_updated_hda_response['extension'] == 'tabular'
assert successful_updated_hda_response['data_type'] == 'galaxy.datatypes.tabular.Tabular'
assert 'scatterplot' in [viz['name'] for viz in successful_updated_hda_response['visualizations']]
invalidly_updated_hda_response = self._put( # try updating with invalid datatype
f"histories/{self.history_id}/contents/{hda_id}",
{'datatype': 'invalid'})
self._assert_status_code_is(invalidly_updated_hda_response, 400)