def setUp(self):
super(HistoryContentsApiTestCase, self).setUp()
self.history_id = self._new_history()
self.dataset_populator = DatasetPopulator(self.galaxy_interactor)
self.dataset_collection_populator = DatasetCollectionPopulator(
self.galaxy_interactor)
self.library_populator = LibraryPopulator(self.galaxy_interactor)
def setUp(self):
super().setUp()
self.dataset_populator = DatasetPopulator(self.galaxy_interactor)
self.dataset_collection_populator = DatasetCollectionPopulator(
self.galaxy_interactor)
self.library_populator = LibraryPopulator(self.galaxy_interactor)
self.history_id = self.dataset_populator.new_history()
def setUp(self):
super().setUp()
self.dataset_populator = DatasetPopulator(self.galaxy_interactor)
self.dataset_collection_populator = DatasetCollectionPopulator(self.galaxy_interactor)
self.library_populator = LibraryPopulator(self.galaxy_interactor)
self.history_id = self.dataset_populator.new_history()
self.library = self.library_populator.new_private_library("FolderContentsTestsLibrary")
self.root_folder_id = self._create_folder_in_library("Test Folder Contents")
def setUp(self):
super().setUp()
self.dataset_populator = DatasetPopulator(self.galaxy_interactor)
self.dataset_collection_populator = DatasetCollectionPopulator(self.galaxy_interactor)
for d in [self.library_dir, self.user_library_dir, self.ftp_upload_dir]:
if os.path.exists(d):
shutil.rmtree(d)
os.mkdir(d)
class MaximumWorkflowJobsPerSchedulingIterationTestCase(
integration_util.IntegrationTestCase):
framework_tool_and_types = True
def setUp(self):
super(MaximumWorkflowJobsPerSchedulingIterationTestCase, self).setUp()
self.dataset_populator = DatasetPopulator(self.galaxy_interactor)
self.workflow_populator = WorkflowPopulator(self.galaxy_interactor)
self.dataset_collection_populator = DatasetCollectionPopulator(
self.galaxy_interactor)
@classmethod
def handle_galaxy_config_kwds(cls, config):
config["maximum_workflow_jobs_per_scheduling_iteration"] = 1
def do_test(self):
workflow_id = self.workflow_populator.upload_yaml_workflow("""
class: GalaxyWorkflow
steps:
- type: input_collection
- tool_id: collection_creates_pair
state:
input1:
$link: 0
- tool_id: collection_paired_test
state:
f1:
$link: 1#paired_output
- tool_id: cat_list
state:
input1:
$link: 2#out1
""")
with self.dataset_populator.test_history() as history_id:
hdca1 = self.dataset_collection_populator.create_list_in_history(
history_id, contents=["a\nb\nc\nd\n", "e\nf\ng\nh\n"]).json()
self.dataset_populator.wait_for_history(history_id, assert_ok=True)
inputs = {
'0': {
"src": "hdca",
"id": hdca1["id"]
},
}
invocation_id = self.workflow_populator.invoke_workflow(
history_id, workflow_id, inputs)
self.workflow_populator.wait_for_workflow(history_id, workflow_id,
invocation_id)
self.dataset_populator.wait_for_history(history_id, assert_ok=True)
self.assertEqual(
"a\nc\nb\nd\ne\ng\nf\nh\n",
self.dataset_populator.get_history_dataset_content(history_id,
hid=0))
def setUp(self):
super(MaximumWorkflowJobsPerSchedulingIterationTestCase, self).setUp()
self.dataset_populator = DatasetPopulator(self.galaxy_interactor)
self.workflow_populator = WorkflowPopulator(self.galaxy_interactor)
self.dataset_collection_populator = DatasetCollectionPopulator(
self.galaxy_interactor)
def setUp(self):
super(JobsApiTestCase, self).setUp()
self.dataset_populator = DatasetPopulator(self.galaxy_interactor)
self.dataset_collection_populator = DatasetCollectionPopulator(
self.galaxy_interactor)
def setUp(self):
super().setUp()
self.dataset_populator = DatasetPopulator(self.galaxy_interactor)
self.workflow_populator = WorkflowPopulator(self.galaxy_interactor)
self.dataset_collection_populator = DatasetCollectionPopulator(
self.galaxy_interactor)
class LibrariesApiTestCase(ApiTestCase, TestsDatasets):
def setUp(self):
super().setUp()
self.dataset_populator = DatasetPopulator(self.galaxy_interactor)
self.dataset_collection_populator = DatasetCollectionPopulator(
self.galaxy_interactor)
self.library_populator = LibraryPopulator(self.galaxy_interactor)
def test_create(self):
data = dict(name="CreateTestLibrary")
create_response = self._post("libraries", data=data, admin=True)
self._assert_status_code_is(create_response, 200)
library = create_response.json()
self._assert_has_keys(library, "name")
assert library["name"] == "CreateTestLibrary"
def test_delete(self):
library = self.library_populator.new_library("DeleteTestLibrary")
create_response = self._delete("libraries/%s" % library["id"],
admin=True)
self._assert_status_code_is(create_response, 200)
library = create_response.json()
self._assert_has_keys(library, "deleted")
assert library["deleted"] is True
# Test undeleting
data = dict(undelete=True)
create_response = self._delete("libraries/%s" % library["id"],
data=data,
admin=True)
library = create_response.json()
self._assert_status_code_is(create_response, 200)
assert library["deleted"] is False
def test_nonadmin(self):
# Anons can't create libs
data = dict(name="CreateTestLibrary")
create_response = self._post("libraries",
data=data,
admin=False,
anon=True)
self._assert_status_code_is(create_response, 403)
# Anons can't delete libs
library = self.library_populator.new_library("AnonDeleteTestLibrary")
create_response = self._delete("libraries/%s" % library["id"],
admin=False,
anon=True)
self._assert_status_code_is(create_response, 403)
# Anons can't update libs
data = dict(name="ChangedName",
description="ChangedDescription",
synopsis='ChangedSynopsis')
create_response = self._patch("libraries/%s" % library["id"],
data=data,
admin=False,
anon=True)
self._assert_status_code_is(create_response, 403)
def test_update(self):
library = self.library_populator.new_library("UpdateTestLibrary")
data = dict(name='ChangedName',
description='ChangedDescription',
synopsis='ChangedSynopsis')
create_response = self._patch("libraries/%s" % library["id"],
data=data,
admin=True)
self._assert_status_code_is(create_response, 200)
library = create_response.json()
self._assert_has_keys(library, 'name', 'description', 'synopsis')
assert library['name'] == 'ChangedName'
assert library['description'] == 'ChangedDescription'
assert library['synopsis'] == 'ChangedSynopsis'
def test_create_private_library_permissions(self):
library = self.library_populator.new_library("PermissionTestLibrary")
library_id = library["id"]
role_id = self.library_populator.user_private_role_id()
self.library_populator.set_permissions(library_id, role_id)
create_response = self._create_folder(library)
self._assert_status_code_is(create_response, 200)
def test_create_dataset_denied(self):
library = self.library_populator.new_private_library(
"ForCreateDatasets")
folder_response = self._create_folder(library)
self._assert_status_code_is(folder_response, 200)
folder_id = folder_response.json()[0]['id']
history_id = self.dataset_populator.new_history()
hda_id = self.dataset_populator.new_dataset(history_id,
content="1 2 3")['id']
with self._different_user():
payload = {'from_hda_id': hda_id}
create_response = self._post("folders/%s/contents" % folder_id,
payload)
self._assert_status_code_is(create_response, 403)
def test_show_private_dataset_permissions(self):
library, library_dataset = self.library_populator.new_library_dataset_in_private_library(
"ForCreateDatasets", wait=True)
with self._different_user():
response = self.library_populator.show_ldda(
library["id"], library_dataset["id"])
# TODO: this should really be 403 and a proper JSON exception.
self._assert_status_code_is(response, 400)
def test_create_dataset(self):
library, library_dataset = self.library_populator.new_library_dataset_in_private_library(
"ForCreateDatasets", wait=True)
self._assert_has_keys(library_dataset, "peek", "data_type")
assert library_dataset["peek"].find("create_test") >= 0
assert library_dataset["file_ext"] == "txt", library_dataset[
"file_ext"]
def test_fetch_upload_to_folder(self):
history_id, library, destination = self._setup_fetch_to_folder(
"flat_zip")
items = [{
"src": "files",
"dbkey": "hg19",
"info": "my cool bed",
"created_from_basename": "4.bed"
}]
targets = [{"destination": destination, "items": items}]
payload = {
"history_id": history_id, # TODO: Shouldn't be needed :(
"targets": json.dumps(targets),
"__files": {
"files_0|file_data":
open(self.test_data_resolver.get_filename("4.bed"))
},
}
self.dataset_populator.fetch(payload)
dataset = self.library_populator.get_library_contents_with_path(
library["id"], "/4.bed")
assert dataset["file_size"] == 61, dataset
assert dataset["genome_build"] == "hg19", dataset
assert dataset["misc_info"] == "my cool bed", dataset
assert dataset["file_ext"] == "bed", dataset
assert dataset["created_from_basename"] == "4.bed"
def test_fetch_zip_to_folder(self):
history_id, library, destination = self._setup_fetch_to_folder(
"flat_zip")
bed_test_data_path = self.test_data_resolver.get_filename("4.bed.zip")
targets = [{
"destination": destination,
"items_from": "archive",
"src": "files",
}]
payload = {
"history_id": history_id, # TODO: Shouldn't be needed :(
"targets": json.dumps(targets),
"__files": {
"files_0|file_data": open(bed_test_data_path, 'rb')
}
}
self.dataset_populator.fetch(payload)
dataset = self.library_populator.get_library_contents_with_path(
library["id"], "/4.bed")
assert dataset["file_size"] == 61, dataset
def test_fetch_single_url_to_folder(self):
library, response = self._fetch_single_url_to_folder()
dataset = self.library_populator.get_library_contents_with_path(
library["id"], "/4.bed")
assert dataset["file_size"] == 61, dataset
def test_fetch_single_url_with_invalid_datatype(self):
_, response = self._fetch_single_url_to_folder('xxx', assert_ok=False)
self._assert_status_code_is(response, 400)
assert response.json(
)['err_msg'] == "Requested extension 'xxx' unknown, cannot upload dataset."
def _fetch_single_url_to_folder(self, file_type='auto', assert_ok=True):
history_id, library, destination = self._setup_fetch_to_folder(
"single_url")
items = [{
"src": "url",
"url": FILE_URL,
"MD5": FILE_MD5,
"ext": file_type,
}]
targets = [{
"destination": destination,
"items": items,
}]
payload = {
"history_id": history_id, # TODO: Shouldn't be needed :(
"targets": json.dumps(targets),
"validate_hashes": True
}
return library, self.dataset_populator.fetch(payload,
assert_ok=assert_ok)
def test_legacy_upload_unknown_datatype(self):
library = self.library_populator.new_private_library("ForLegacyUpload")
folder_response = self._create_folder(library)
self._assert_status_code_is(folder_response, 200)
folder_id = folder_response.json()[0]['id']
payload = {
'folder_id': folder_id,
'create_type': 'file',
'file_type': 'xxx',
'upload_option': 'upload_file',
'files_0|url_paste': FILE_URL,
}
create_response = self._post("libraries/%s/contents" % library['id'],
payload)
self._assert_status_code_is(create_response, 400)
assert create_response.json(
) == "Requested extension 'xxx' unknown, cannot upload dataset."
def test_fetch_failed_validation(self):
# Exception handling is really rough here - we should be creating a dataset in error instead
# of just failing the job like this.
history_id, library, destination = self._setup_fetch_to_folder(
"single_url")
items = [{
"src": "url",
"url":
"https://raw.githubusercontent.com/galaxyproject/galaxy/dev/test-data/4.bed",
"MD5": "37b59762b59fff860460522d271bc112",
"name": "4.bed",
}]
targets = [{
"destination": destination,
"items": items,
}]
payload = {
"history_id": history_id, # TODO: Shouldn't be needed :(
"targets": json.dumps(targets),
"validate_hashes": True
}
tool_response = self.dataset_populator.fetch(payload, assert_ok=False)
job = self.dataset_populator.check_run(tool_response)
self.dataset_populator.wait_for_job(job["id"])
job = tool_response.json()["jobs"][0]
details = self.dataset_populator.get_job_details(job["id"]).json()
assert details["state"] == "ok", details
dataset = self.library_populator.get_library_contents_with_path(
library["id"], "/4.bed")
assert dataset["state"] == "error", dataset
def test_fetch_url_archive_to_folder(self):
history_id, library, destination = self._setup_fetch_to_folder(
"single_url")
targets = [{
"destination":
destination,
"items_from":
"archive",
"src":
"url",
"url":
"https://raw.githubusercontent.com/galaxyproject/galaxy/dev/test-data/4.bed.zip",
}]
payload = {
"history_id": history_id, # TODO: Shouldn't be needed :(
"targets": json.dumps(targets),
}
self.dataset_populator.fetch(payload)
dataset = self.library_populator.get_library_contents_with_path(
library["id"], "/4.bed")
assert dataset["file_size"] == 61, dataset
@unittest.skip # reference URLs changed, checksums now invalid.
def test_fetch_bagit_archive_to_folder(self):
history_id, library, destination = self._setup_fetch_to_folder(
"bagit_archive")
example_bag_path = self.test_data_resolver.get_filename(
"example-bag.zip")
targets = [{
"destination": destination,
"items_from": "bagit_archive",
"src": "files",
}]
payload = {
"history_id": history_id, # TODO: Shouldn't be needed :(
"targets": json.dumps(targets),
"__files": {
"files_0|file_data": open(example_bag_path)
},
}
self.dataset_populator.fetch(payload)
dataset = self.library_populator.get_library_contents_with_path(
library["id"], "/README.txt")
assert dataset["file_size"] == 66, dataset
dataset = self.library_populator.get_library_contents_with_path(
library["id"], "/bdbag-profile.json")
assert dataset["file_size"] == 723, dataset
def _setup_fetch_to_folder(self, test_name):
return self.library_populator.setup_fetch_to_folder(test_name)
def test_create_dataset_in_folder(self):
library = self.library_populator.new_private_library(
"ForCreateDatasets")
folder_response = self._create_folder(library)
self._assert_status_code_is(folder_response, 200)
folder_id = folder_response.json()[0]['id']
history_id = self.dataset_populator.new_history()
hda_id = self.dataset_populator.new_dataset(history_id,
content="1 2 3")['id']
payload = {'from_hda_id': hda_id}
create_response = self._post("folders/%s/contents" % folder_id,
payload)
self._assert_status_code_is(create_response, 200)
self._assert_has_keys(create_response.json(), "name", "id")
def test_create_dataset_in_subfolder(self):
library = self.library_populator.new_private_library(
"ForCreateDatasets")
folder_response = self._create_folder(library)
self._assert_status_code_is(folder_response, 200)
folder_id = folder_response.json()[0]['id']
subfolder_response = self._create_subfolder(folder_id)
self._assert_status_code_is(folder_response, 200)
print(subfolder_response.json())
subfolder_id = subfolder_response.json()['id']
history_id = self.dataset_populator.new_history()
hda_id = self.dataset_populator.new_dataset(history_id,
content="1 2 3 sub")['id']
payload = {'from_hda_id': hda_id}
create_response = self._post("folders/%s/contents" % subfolder_id,
payload)
self._assert_status_code_is(create_response, 200)
self._assert_has_keys(create_response.json(), "name", "id")
dataset_update_time = create_response.json()['update_time']
container_fetch_response = self.galaxy_interactor.get(
"folders/%s/contents" % folder_id)
container_update_time = container_fetch_response.json(
)['folder_contents'][0]['update_time']
assert dataset_update_time == container_update_time, container_fetch_response
def test_update_dataset_in_folder(self):
ld = self._create_dataset_in_folder_in_library("ForUpdateDataset")
data = {
'name': 'updated_name',
'file_ext': 'fastq',
'misc_info': 'updated_info',
'genome_build': 'updated_genome_build'
}
create_response = self._patch("libraries/datasets/%s" %
ld.json()["id"],
data=data)
self._assert_status_code_is(create_response, 200)
self._assert_has_keys(create_response.json(), "name", "file_ext",
"misc_info", "genome_build")
def test_update_dataset_tags(self):
ld = self._create_dataset_in_folder_in_library("ForTagtestDataset")
data = {"tags": ["#Lancelot", "name:Holy Grail", "blue"]}
create_response = self._patch("libraries/datasets/%s" %
ld.json()["id"],
data=data)
self._assert_status_code_is(create_response, 200)
self._assert_has_keys(create_response.json(), "tags")
assert create_response.json(
)["tags"] == "name:Lancelot, name:HolyGrail, blue"
def test_invalid_update_dataset_in_folder(self):
ld = self._create_dataset_in_folder_in_library(
"ForInvalidUpdateDataset")
data = {'file_ext': 'nonexisting_type'}
create_response = self._patch("libraries/datasets/%s" %
ld.json()["id"],
data=data)
self._assert_status_code_is(create_response, 400)
assert 'This Galaxy does not recognize the datatype of:' in create_response.json(
)['err_msg']
def test_detect_datatype_of_dataset_in_folder(self):
ld = self._create_dataset_in_folder_in_library("ForDetectDataset")
# Wait for metadata job to finish.
time.sleep(2)
data = {'file_ext': 'data'}
create_response = self._patch("libraries/datasets/%s" %
ld.json()["id"],
data=data)
self._assert_status_code_is(create_response, 200)
self._assert_has_keys(create_response.json(), "file_ext")
assert create_response.json()["file_ext"] == "data"
# Wait for metadata job to finish.
time.sleep(2)
data = {'file_ext': 'auto'}
create_response = self._patch("libraries/datasets/%s" %
ld.json()["id"],
data=data)
self._assert_status_code_is(create_response, 200)
self._assert_has_keys(create_response.json(), "file_ext")
assert create_response.json()["file_ext"] == "txt"
def test_ldda_collection_import_to_history(self):
self._import_to_history(visible=True)
def test_ldda_collection_import_to_history_hide_source(self):
self._import_to_history(visible=False)
def test_import_paired_collection(self):
ld = self._create_dataset_in_folder_in_library(
"ForHistoryImport").json()
history_id = self.dataset_populator.new_history()
url = "histories/%s/contents" % history_id
collection_name = 'Paired-end data (from library)'
payload = {
'name':
collection_name,
'collection_type':
'list:paired',
"type":
"dataset_collection",
'element_identifiers':
json.dumps([{
'src':
'new_collection',
'name':
'pair1',
'collection_type':
'paired',
'element_identifiers': [{
'name': 'forward',
'src': 'ldda',
'id': ld['id']
}, {
'name': 'reverse',
'src': 'ldda',
'id': ld['id']
}]
}])
}
new_collection = self._post(url, payload).json()
assert new_collection['name'] == collection_name
pair = new_collection['elements'][0]
assert pair['element_identifier'] == 'pair1'
assert pair['object']['elements'][0]['object'][
'history_id'] == history_id
def _import_to_history(self, visible=True):
ld = self._create_dataset_in_folder_in_library(
"ForHistoryImport").json()
history_id = self.dataset_populator.new_history()
url = "histories/%s/contents" % history_id
collection_name = 'new_collection_name'
element_identifer = 'new_element_identifier'
payload = {
"collection_type":
"list",
"history_content_type":
"dataset_collection",
"model_class":
"HistoryDatasetCollectionAssociation",
"history_id":
history_id,
"name":
collection_name,
"hide_source_items":
not visible,
"element_identifiers":
json.dumps([{
"id": ld['id'],
"name": element_identifer,
"src": "ldda"
}]),
"type":
"dataset_collection",
"elements": []
}
new_collection = self._post(url, payload).json()
assert new_collection['name'] == collection_name
assert new_collection['element_count'] == 1
element = new_collection['elements'][0]
assert element['element_identifier'] == element_identifer
assert element['object']['visible'] == visible
def test_create_datasets_in_library_from_collection(self):
library = self.library_populator.new_private_library(
"ForCreateDatasetsFromCollection")
folder_response = self._create_folder(library)
self._assert_status_code_is(folder_response, 200)
folder_id = folder_response.json()[0]['id']
history_id = self.dataset_populator.new_history()
hdca_id = self.dataset_collection_populator.create_list_in_history(
history_id, contents=["xxx", "yyy"],
direct_upload=True).json()["outputs"][0]["id"]
payload = {
'from_hdca_id': hdca_id,
'create_type': 'file',
'folder_id': folder_id
}
create_response = self._post("libraries/%s/contents" % library['id'],
payload)
self._assert_status_code_is(create_response, 200)
def test_create_datasets_in_folder_from_collection(self):
library = self.library_populator.new_private_library(
"ForCreateDatasetsFromCollection")
history_id = self.dataset_populator.new_history()
hdca_id = self.dataset_collection_populator.create_list_in_history(
history_id, contents=["xxx", "yyy"],
direct_upload=True).json()["outputs"][0]["id"]
folder_response = self._create_folder(library)
self._assert_status_code_is(folder_response, 200)
folder_id = folder_response.json()[0]['id']
payload = {'from_hdca_id': hdca_id}
create_response = self._post("folders/%s/contents" % folder_id,
payload)
self._assert_status_code_is(create_response, 200)
assert len(create_response.json()) == 2
# Also test that anything different from a flat dataset collection list
# is refused
hdca_pair_id = self.dataset_collection_populator.create_list_of_pairs_in_history(
history_id).json()["outputs"][0]['id']
payload = {'from_hdca_id': hdca_pair_id}
create_response = self._post("folders/%s/contents" % folder_id,
payload)
self._assert_status_code_is(create_response, 501)
assert create_response.json(
)['err_msg'] == 'Cannot add nested collections to library. Please flatten your collection first.'
def _create_folder(self, library):
create_data = dict(
folder_id=library["root_folder_id"],
create_type="folder",
name="New Folder",
)
return self._post("libraries/%s/contents" % library["id"],
data=create_data)
def _create_subfolder(self, containing_folder_id):
create_data = dict(
description="new subfolder desc",
name="New Subfolder",
)
return self._post("folders/%s" % containing_folder_id,
data=create_data)
def _create_dataset_in_folder_in_library(self, library_name):
library = self.library_populator.new_private_library(library_name)
folder_response = self._create_folder(library)
self._assert_status_code_is(folder_response, 200)
folder_id = folder_response.json()[0]['id']
history_id = self.dataset_populator.new_history()
hda_id = self.dataset_populator.new_dataset(history_id,
content="1 2 3")['id']
payload = {
'from_hda_id': hda_id,
'create_type': 'file',
'folder_id': folder_id
}
ld = self._post("libraries/%s/contents" % folder_id, payload)
return ld
class DatasetsApiTestCase(ApiTestCase):
def setUp(self):
super(DatasetsApiTestCase, self).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(
"histories/{history_id}/contents/{hda_id}".format(
history_id=self.history_id, hda_id=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("datasets/%s" % (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(
"histories/%s/contents/%s/display" % (self.history_id, hda1["id"]),
{'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 = {
'item_id':
hda_id,
'item_class':
'HistoryDatasetAssociation',
'item_tags':
['cool:tag_a', 'cool:tag_b', 'tag_c', 'name:tag_d', '#tag_e'],
}
self._put("tags", payload).json()
updated_hda = self._get(
"histories/{history_id}/contents/{hda_id}".format(
history_id=self.history_id, hda_id=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']
class ImportExportHistoryTestCase(ApiTestCase, BaseHistories):
def setUp(self):
super().setUp()
self.dataset_populator = DatasetPopulator(self.galaxy_interactor)
self.dataset_collection_populator = DatasetCollectionPopulator(
self.galaxy_interactor)
def test_import_export(self):
history_name = "for_export_default"
history_id = self.dataset_populator.setup_history_for_export_testing(
history_name)
imported_history_id = self._reimport_history(history_id,
history_name,
wait_on_history_length=2)
def upload_job_check(job):
assert job["tool_id"] == "upload1"
def check_discarded(hda):
assert hda["deleted"]
assert hda["state"] == "discarded", hda
assert hda["purged"] is True
self._check_imported_dataset(history_id=imported_history_id,
hid=1,
job_checker=upload_job_check)
self._check_imported_dataset(history_id=imported_history_id,
hid=2,
has_job=False,
hda_checker=check_discarded,
job_checker=upload_job_check)
imported_content = self.dataset_populator.get_history_dataset_content(
history_id=imported_history_id,
hid=1,
)
assert imported_content == "1 2 3\n"
def test_import_1901_histories(self):
f = open(
self.test_data_resolver.get_filename(
"exports/1901_two_datasets.tgz"), 'rb')
import_data = dict(archive_source='', archive_file=f)
self._import_history_and_wait(import_data,
"API Test History",
wait_on_history_length=2)
def test_import_export_include_deleted(self):
history_name = "for_export_include_deleted"
history_id = self.dataset_populator.new_history(name=history_name)
self.dataset_populator.new_dataset(history_id, content="1 2 3")
deleted_hda = self.dataset_populator.new_dataset(history_id,
content="1 2 3",
wait=True)
self.dataset_populator.delete_dataset(history_id, deleted_hda["id"])
imported_history_id = self._reimport_history(
history_id,
history_name,
wait_on_history_length=2,
export_kwds={"include_deleted": "True"})
self._assert_history_length(imported_history_id, 2)
def upload_job_check(job):
assert job["tool_id"] == "upload1"
def check_deleted_not_purged(hda):
assert hda["state"] == "ok", hda
assert hda["deleted"] is True, hda
assert hda["purged"] is False, hda
self._check_imported_dataset(history_id=imported_history_id,
hid=1,
job_checker=upload_job_check)
self._check_imported_dataset(history_id=imported_history_id,
hid=2,
hda_checker=check_deleted_not_purged,
job_checker=upload_job_check)
imported_content = self.dataset_populator.get_history_dataset_content(
history_id=imported_history_id,
hid=1,
)
assert imported_content == "1 2 3\n"
@skip_without_tool("job_properties")
def test_import_export_failed_job(self):
history_name = "for_export_include_failed_job"
history_id = self.dataset_populator.new_history(name=history_name)
self.dataset_populator.run_tool('job_properties',
inputs={'failbool': True},
history_id=history_id,
assert_ok=False)
self.dataset_populator.wait_for_history(history_id, assert_ok=False)
imported_history_id = self._reimport_history(
history_id,
history_name,
assert_ok=False,
wait_on_history_length=4,
export_kwds={"include_deleted": "True"})
self._assert_history_length(imported_history_id, 4)
def check_failed(hda_or_job):
print(hda_or_job)
assert hda_or_job["state"] == "error", hda_or_job
self.dataset_populator._summarize_history(imported_history_id)
self._check_imported_dataset(history_id=imported_history_id,
hid=1,
assert_ok=False,
hda_checker=check_failed,
job_checker=check_failed)
def test_import_metadata_regeneration(self):
history_name = "for_import_metadata_regeneration"
history_id = self.dataset_populator.new_history(name=history_name)
self.dataset_populator.new_dataset(
history_id,
content=open(self.test_data_resolver.get_filename("1.bam"), 'rb'),
file_type='bam',
wait=True)
imported_history_id = self._reimport_history(history_id, history_name)
self._assert_history_length(imported_history_id, 1)
self._check_imported_dataset(history_id=imported_history_id, hid=1)
import_bam_metadata = self.dataset_populator.get_history_dataset_details(
history_id=imported_history_id,
hid=1,
)
# The cleanup() method of the __IMPORT_HISTORY__ job (which is executed
# after the job has entered its final state):
# - creates a new dataset with 'ok' state and adds it to the history
# - starts a __SET_METADATA__ job to regenerate the dataset metadata, if
# needed
# We need to wait a bit for the creation of the __SET_METADATA__ job.
time.sleep(1)
self.dataset_populator.wait_for_history_jobs(imported_history_id,
assert_ok=True)
bai_metadata = import_bam_metadata["meta_files"][0]
assert bai_metadata["file_type"] == "bam_index"
api_url = bai_metadata["download_url"].split("api/", 1)[1]
bai_response = self._get(api_url)
self._assert_status_code_is(bai_response, 200)
assert len(bai_response.content) > 4
def test_import_export_collection(self):
history_name = "for_export_with_collections"
history_id = self.dataset_populator.new_history(name=history_name)
self.dataset_collection_populator.create_list_in_history(
history_id, contents=["Hello", "World"], direct_upload=True)
imported_history_id = self._reimport_history(history_id,
history_name,
wait_on_history_length=3)
self._assert_history_length(imported_history_id, 3)
def check_elements(elements):
assert len(elements) == 2
element0 = elements[0]["object"]
element1 = elements[1]["object"]
for element in [element0, element1]:
assert not element["visible"]
assert not element["deleted"]
assert element["state"] == "ok"
assert element0["hid"] == 2
assert element1["hid"] == 3
self._check_imported_collection(imported_history_id,
hid=1,
collection_type="list",
elements_checker=check_elements)
def test_import_export_nested_collection(self):
history_name = "for_export_with_nested_collections"
history_id = self.dataset_populator.new_history(name=history_name)
self.dataset_collection_populator.create_list_of_pairs_in_history(
history_id)
imported_history_id = self._reimport_history(history_id,
history_name,
wait_on_history_length=3)
self._assert_history_length(imported_history_id, 3)
def check_elements(elements):
assert len(elements) == 1
element0 = elements[0]["object"]
self._assert_has_keys(element0, "elements", "collection_type")
child_elements = element0["elements"]
assert len(child_elements) == 2
assert element0["collection_type"] == "paired"
self._check_imported_collection(imported_history_id,
hid=1,
collection_type="list:paired",
elements_checker=check_elements)
def _reimport_history(self,
history_id,
history_name,
wait_on_history_length=None,
assert_ok=True,
export_kwds=None):
# Ensure the history is ready to go...
export_kwds = export_kwds or {}
self.dataset_populator.wait_for_history(history_id,
assert_ok=assert_ok)
return self.dataset_populator.reimport_history(
history_id,
history_name,
wait_on_history_length=wait_on_history_length,
export_kwds=export_kwds,
url=self.url,
api_key=self.galaxy_interactor.api_key)
def _import_history_and_wait(self,
import_data,
history_name,
wait_on_history_length=None):
imported_history_id = self.dataset_populator.import_history_and_wait_for_name(
import_data, history_name)
if wait_on_history_length:
self.dataset_populator.wait_on_history_length(
imported_history_id, wait_on_history_length)
return imported_history_id
def _assert_history_length(self, history_id, n):
contents_response = self._get(f"histories/{history_id}/contents")
self._assert_status_code_is(contents_response, 200)
contents = contents_response.json()
assert len(contents) == n, contents
def _check_imported_dataset(self,
history_id,
hid,
assert_ok=True,
has_job=True,
hda_checker=None,
job_checker=None):
imported_dataset_metadata = self.dataset_populator.get_history_dataset_details(
history_id=history_id,
hid=hid,
assert_ok=assert_ok,
)
assert imported_dataset_metadata["history_content_type"] == "dataset"
assert imported_dataset_metadata["history_id"] == history_id
if hda_checker is not None:
hda_checker(imported_dataset_metadata)
assert "creating_job" in imported_dataset_metadata
job_id = imported_dataset_metadata["creating_job"]
if has_job:
assert job_id
job_details = self.dataset_populator.get_job_details(job_id,
full=True)
assert job_details.status_code == 200, job_details.content
job = job_details.json()
assert 'history_id' in job, job
assert job['history_id'] == history_id, job
if job_checker is not None:
job_checker(job)
def _check_imported_collection(self,
history_id,
hid,
collection_type=None,
elements_checker=None):
imported_collection_metadata = self.dataset_populator.get_history_collection_details(
history_id=history_id,
hid=hid,
)
assert imported_collection_metadata[
"history_content_type"] == "dataset_collection"
assert imported_collection_metadata["history_id"] == history_id
assert "collection_type" in imported_collection_metadata
assert "elements" in imported_collection_metadata
if collection_type is not None:
assert imported_collection_metadata[
"collection_type"] == collection_type, imported_collection_metadata
if elements_checker is not None:
elements_checker(imported_collection_metadata["elements"])
class FolderContentsApiTestCase(ApiTestCase):
def setUp(self):
super().setUp()
self.dataset_populator = DatasetPopulator(self.galaxy_interactor)
self.dataset_collection_populator = DatasetCollectionPopulator(self.galaxy_interactor)
self.library_populator = LibraryPopulator(self.galaxy_interactor)
self.history_id = self.dataset_populator.new_history()
self.library = self.library_populator.new_private_library("FolderContentsTestsLibrary")
self.root_folder_id = self._create_folder_in_library("Test Folder Contents")
def test_create_hda_with_ldda_message(self):
hda_id = self._create_hda()
ldda_message = "Test message"
data = {
"from_hda_id": hda_id,
"ldda_message": ldda_message,
}
ldda = self._create_content_in_folder_with_payload(self.root_folder_id, data)
self._assert_has_keys(ldda, "name", "id")
def test_create_hdca_with_ldda_message(self):
contents = ["dataset01", "dataset02"]
hdca_id = self._create_hdca_with_contents(contents)
ldda_message = "Test message"
data = {
"from_hdca_id": hdca_id,
"ldda_message": ldda_message,
}
lddas = self._create_content_in_folder_with_payload(self.root_folder_id, data)
assert len(contents) == len(lddas)
def test_index(self):
folder_id = self._create_folder_in_library("Test Folder Contents Index")
self._create_dataset_in_folder(folder_id)
response = self._get(f"folders/{folder_id}/contents")
self._assert_status_code_is(response, 200)
contents = response.json()["folder_contents"]
assert len(contents) == 1
def test_index_include_deleted(self):
folder_name = "Test Folder Contents Index include deleted"
folder_id = self._create_folder_in_library(folder_name)
hda_id = self._create_dataset_in_folder(folder_id)
self._delete_library_dataset(hda_id)
response = self._get(f"folders/{folder_id}/contents")
self._assert_status_code_is(response, 200)
contents = response.json()["folder_contents"]
assert len(contents) == 0
include_deleted = True
response = self._get(f"folders/{folder_id}/contents?include_deleted={include_deleted}")
self._assert_status_code_is(response, 200)
contents = response.json()["folder_contents"]
assert len(contents) == 1
assert contents[0]["deleted"] is True
def test_index_limit_offset(self):
folder_name = "Test Folder Contents Index limit"
folder_id = self._create_folder_in_library(folder_name)
num_subfolders = 5
for index in range(num_subfolders):
self._create_subfolder_in(folder_id, name=f"Folder_{index}")
num_datasets = 5
for _ in range(num_datasets):
self._create_dataset_in_folder(folder_id)
total_items = num_datasets + num_subfolders
response = self._get(f"folders/{folder_id}/contents")
self._assert_status_code_is(response, 200)
original_contents = response.json()["folder_contents"]
assert len(original_contents) == total_items
limit = 7
response = self._get(f"folders/{folder_id}/contents?limit={limit}")
self._assert_status_code_is(response, 200)
contents = response.json()["folder_contents"]
assert len(contents) == limit
offset = 3
response = self._get(f"folders/{folder_id}/contents?offset={offset}")
self._assert_status_code_is(response, 200)
contents = response.json()["folder_contents"]
assert len(contents) == total_items - offset
limit = 4
offset = 4
response = self._get(f"folders/{folder_id}/contents?limit={limit}&offset={offset}")
self._assert_status_code_is(response, 200)
contents = response.json()["folder_contents"]
assert len(contents) == limit
expected_query_result = original_contents[offset:offset + limit]
for index in range(limit):
assert contents[index]["id"] == expected_query_result[index]["id"]
def test_index_search_text(self):
folder_name = "Test Folder Contents Index search text"
folder_id = self._create_folder_in_library(folder_name)
dataset_names = ["AB", "BC", "ABC"]
for name in dataset_names:
self._create_dataset_in_folder(folder_id, name)
subfolder_names = ["Folder_A", "Folder_C"]
for name in subfolder_names:
self._create_subfolder_in(folder_id, name)
all_names = dataset_names + subfolder_names
search_terms = ["A", "B", "C"]
for search_text in search_terms:
response = self._get(f"folders/{folder_id}/contents?search_text={search_text}")
self._assert_status_code_is(response, 200)
contents = response.json()["folder_contents"]
matching_names = [name for name in all_names if search_text in name]
assert len(contents) == len(matching_names)
def test_index_permissions_include_deleted(self):
folder_name = "Test Folder Contents Index permissions include deteleted"
folder_id = self._create_folder_in_library(folder_name)
num_subfolders = 5
subfolder_ids: List[str] = []
deleted_subfolder_ids: List[str] = []
for index in range(num_subfolders):
id = self._create_subfolder_in(folder_id, name=f"Folder_{index}")
subfolder_ids.append(id)
for index, subfolder_id in enumerate(subfolder_ids):
if index % 2 == 0:
self._delete_subfolder(subfolder_id)
deleted_subfolder_ids.append(subfolder_id)
num_datasets = 5
datasets_ids: List[str] = []
deleted_datasets_ids: List[str] = []
for _ in range(num_datasets):
id = self._create_dataset_in_folder(folder_id)
datasets_ids.append(id)
for index, ldda_id in enumerate(datasets_ids):
if index % 2 == 0:
self._delete_library_dataset(ldda_id)
deleted_datasets_ids.append(ldda_id)
num_total_contents = num_subfolders + num_datasets
num_non_deleted = num_total_contents - len(deleted_subfolder_ids) - len(deleted_datasets_ids)
# Verify deleted contents are not listed
include_deleted = False
response = self._get(f"folders/{folder_id}/contents?include_deleted={include_deleted}")
self._assert_status_code_is(response, 200)
contents = response.json()["folder_contents"]
assert len(contents) == num_non_deleted
include_deleted = True
# Admins can see everything...
response = self._get(f"folders/{folder_id}/contents?include_deleted={include_deleted}", admin=True)
self._assert_status_code_is(response, 200)
contents = response.json()["folder_contents"]
assert len(contents) == num_total_contents
# Owner can see everything too
response = self._get(f"folders/{folder_id}/contents?include_deleted={include_deleted}")
self._assert_status_code_is(response, 200)
contents = response.json()["folder_contents"]
assert len(contents) == num_total_contents
# Users with access but no modify permission can't see deleted
with self._different_user():
different_user_role_id = self.dataset_populator.user_private_role_id()
self._allow_library_access_to_user_role(different_user_role_id)
with self._different_user():
response = self._get(f"folders/{folder_id}/contents?include_deleted={include_deleted}")
self._assert_status_code_is(response, 200)
contents = response.json()["folder_contents"]
assert len(contents) == num_non_deleted
def _create_folder_in_library(self, name: str) -> Any:
root_folder_id = self.library["root_folder_id"]
return self._create_subfolder_in(root_folder_id, name)
def _create_subfolder_in(self, folder_id: str, name: str) -> str:
data = {
"name": name,
"description": f"The description of {name}",
}
create_response = self._post(f"folders/{folder_id}", data=data)
self._assert_status_code_is(create_response, 200)
folder = create_response.json()
return folder["id"]
def _create_dataset_in_folder(self, folder_id: str, name: Optional[str] = None) -> str:
hda_id = self._create_hda(name)
data = {
"from_hda_id": hda_id,
}
ldda = self._create_content_in_folder_with_payload(folder_id, data)
return ldda["id"]
def _create_content_in_folder_with_payload(self, folder_id: str, payload) -> Any:
create_response = self._post(f"folders/{folder_id}/contents", data=payload)
self._assert_status_code_is(create_response, 200)
return create_response.json()
def _create_hda(self, name: Optional[str] = None) -> str:
hda = self.dataset_populator.new_dataset(self.history_id, name=name)
hda_id = hda["id"]
return hda_id
def _create_hdca_with_contents(self, contents: List[str]) -> str:
hdca = self.dataset_collection_populator.create_list_in_history(self.history_id, contents=contents, direct_upload=True).json()["outputs"][0]
hdca_id = hdca["id"]
return hdca_id
def _delete_library_dataset(self, ldda_id: str) -> None:
delete_response = self._delete(f"libraries/datasets/{ldda_id}")
self._assert_status_code_is(delete_response, 200)
def _delete_subfolder(self, folder_id: str) -> None:
delete_response = self._delete(f"folders/{folder_id}")
self._assert_status_code_is(delete_response, 200)
def _allow_library_access_to_user_role(self, role_id: str):
library_id = self.library["id"]
action = "set_permissions"
data = {
"access_ids[]": role_id,
}
response = self._post(f"libraries/{library_id}/permissions?action={action}", data=data, admin=True, json=True)
self._assert_status_code_is(response, 200)
def setUp(self):
super(ImportExportHistoryTestCase, self).setUp()
self.dataset_populator = DatasetPopulator(self.galaxy_interactor)
self.dataset_collection_populator = DatasetCollectionPopulator(
self.galaxy_interactor)
class DatasetsApiTestCase(ApiTestCase):
history_id: str
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']
index_payload_1 = {'limit': 3, 'offset': 0}
index_response = self._get("datasets", index_payload_1).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'
index_payload_2 = {
'limit': 2,
'offset': 0,
'q': ['history_content_type'],
'qv': ['dataset']
}
index_response = self._get("datasets", index_payload_2).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=True).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 test_show_permission_denied(self):
hda = self.dataset_populator.new_dataset(self.history_id)
self.dataset_populator.make_private(history_id=self.history_id,
dataset_id=hda['id'])
with self._different_user():
show_response = self._get(f"datasets/{hda['id']}")
self._assert_status_code_is(show_response, 403)
def test_admin_can_update_permissions(self):
# Create private dataset
hda = self.dataset_populator.new_dataset(self.history_id)
dataset_id = hda['id']
self.dataset_populator.make_private(history_id=self.history_id,
dataset_id=dataset_id)
# Admin removes restrictions
payload = {"action": "remove_restrictions"}
update_response = self._put(f"datasets/{dataset_id}/permissions",
payload,
admin=True,
json=True)
self._assert_status_code_is_ok(update_response)
# Other users can access the dataset
with self._different_user():
show_response = self._get(f"datasets/{hda['id']}")
self._assert_status_code_is_ok(show_response)
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 = {
'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, json=True)
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_raw(
"cat_data_and_sleep",
inputs,
self.history_id,
)
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}",
data={'datatype': 'tabular'},
json=True)
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}",
data={
'datatype': 'tabular'
},
json=True).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}",
data={'datatype': 'invalid'},
json=True)
self._assert_status_code_is(invalidly_updated_hda_response, 400)
@skip_without_datatype("velvet")
def test_composite_datatype_download(self):
item = {
"src": "composite",
"ext": "velvet",
"composite": {
"items": [
{
"src": "pasted",
"paste_content": "sequences content"
},
{
"src": "pasted",
"paste_content": "roadmaps content"
},
{
"src": "pasted",
"paste_content": "log content"
},
]
},
}
output = self.dataset_populator.fetch_hda(self.history_id,
item,
wait=True)
print(output)
response = self._get(
f"histories/{self.history_id}/contents/{output['id']}/display?to_ext=zip"
)
self._assert_status_code_is(response, 200)
archive = zipfile.ZipFile(BytesIO(response.content))
namelist = archive.namelist()
assert len(namelist) == 4, f"Expected 3 elements in [{namelist}]"
class JobsApiTestCase(ApiTestCase, TestsTools):
def setUp(self):
super().setUp()
self.workflow_populator = WorkflowPopulator(self.galaxy_interactor)
self.dataset_populator = DatasetPopulator(self.galaxy_interactor)
self.dataset_collection_populator = DatasetCollectionPopulator(
self.galaxy_interactor)
@uses_test_history(require_new=True)
def test_index(self, history_id):
# Create HDA to ensure at least one job exists...
self.__history_with_new_dataset(history_id)
jobs = self.__jobs_index()
assert "upload1" in map(itemgetter("tool_id"), jobs)
@uses_test_history(require_new=True)
def test_system_details_admin_only(self, history_id):
self.__history_with_new_dataset(history_id)
jobs = self.__jobs_index(admin=False)
job = jobs[0]
self._assert_not_has_keys(job, "external_id")
jobs = self.__jobs_index(admin=True)
job = jobs[0]
self._assert_has_keys(job, "command_line", "external_id")
@uses_test_history(require_new=True)
def test_admin_job_list(self, history_id):
self.__history_with_new_dataset(history_id)
jobs_response = self._get("jobs?view=admin_job_list", admin=False)
assert jobs_response.status_code == 403
assert jobs_response.json(
)['err_msg'] == 'Only admins can use the admin_job_list view'
jobs = self._get("jobs?view=admin_job_list", admin=True).json()
job = jobs[0]
self._assert_has_keys(job, "command_line", "external_id", 'handler')
@uses_test_history(require_new=True)
def test_index_state_filter(self, history_id):
# Initial number of ok jobs
original_count = len(self.__uploads_with_state("ok"))
# Run through dataset upload to ensure num uplaods at least greater
# by 1.
self.__history_with_ok_dataset(history_id)
# Verify number of ok jobs is actually greater.
count_increased = False
for _ in range(10):
new_count = len(self.__uploads_with_state("ok"))
if original_count < new_count:
count_increased = True
break
time.sleep(.1)
if not count_increased:
template = "Jobs in ok state did not increase (was %d, now %d)"
message = template % (original_count, new_count)
raise AssertionError(message)
@uses_test_history(require_new=True)
def test_index_date_filter(self, history_id):
self.__history_with_new_dataset(history_id)
two_weeks_ago = (datetime.datetime.utcnow() -
datetime.timedelta(14)).isoformat()
last_week = (datetime.datetime.utcnow() -
datetime.timedelta(7)).isoformat()
next_week = (datetime.datetime.utcnow() +
datetime.timedelta(7)).isoformat()
today = datetime.datetime.utcnow().isoformat()
tomorrow = (datetime.datetime.utcnow() +
datetime.timedelta(1)).isoformat()
jobs = self.__jobs_index(data={
"date_range_min": today[0:10],
"date_range_max": tomorrow[0:10]
})
assert len(jobs) > 0
today_job_id = jobs[0]["id"]
jobs = self.__jobs_index(data={
"date_range_min": two_weeks_ago,
"date_range_max": last_week
})
assert today_job_id not in map(itemgetter("id"), jobs)
jobs = self.__jobs_index(data={
"date_range_min": last_week,
"date_range_max": next_week
})
assert today_job_id in map(itemgetter("id"), jobs)
@uses_test_history(require_new=True)
def test_index_history(self, history_id):
self.__history_with_new_dataset(history_id)
jobs = self.__jobs_index(data={"history_id": history_id})
assert len(jobs) > 0
with self.dataset_populator.test_history() as other_history_id:
jobs = self.__jobs_index(data={"history_id": other_history_id})
assert len(jobs) == 0
@uses_test_history(require_new=True)
def test_index_workflow_and_invocation_filter(self, history_id):
workflow_simple = """
class: GalaxyWorkflow
name: Simple Workflow
inputs:
input1: data
outputs:
wf_output_1:
outputSource: first_cat/out_file1
steps:
first_cat:
tool_id: cat1
in:
input1: input1
"""
summary = self.workflow_populator.run_workflow(
workflow_simple,
history_id=history_id,
test_data={"input1": "hello world"})
invocation_id = summary.invocation_id
workflow_id = self._get(
f"invocations/{invocation_id}").json()['workflow_id']
self.workflow_populator.wait_for_invocation(workflow_id, invocation_id)
jobs1 = self.__jobs_index(data={"workflow_id": workflow_id})
assert len(jobs1) == 1
jobs2 = self.__jobs_index(data={"invocation_id": invocation_id})
assert len(jobs2) == 1
assert jobs1 == jobs2
@uses_test_history(require_new=True)
def test_index_workflow_filter_implicit_jobs(self, history_id):
workflow_id = self.workflow_populator.upload_yaml_workflow("""
class: GalaxyWorkflow
inputs:
input_datasets: collection
steps:
multi_data_optional:
tool_id: multi_data_optional
in:
input1: input_datasets
""")
hdca_id = self.dataset_collection_populator.create_list_of_list_in_history(
history_id).json()
self.dataset_populator.wait_for_history(history_id, assert_ok=True)
inputs = {
'0': self.dataset_populator.ds_entry(hdca_id),
}
invocation_id = self.workflow_populator.invoke_workflow_and_wait(
workflow_id, history_id=history_id, inputs=inputs, assert_ok=True)
jobs1 = self.__jobs_index(data={"workflow_id": workflow_id})
jobs2 = self.__jobs_index(data={"invocation_id": invocation_id})
assert len(jobs1) == len(jobs2) == 1
second_invocation_id = self.workflow_populator.invoke_workflow_and_wait(
workflow_id, history_id=history_id, inputs=inputs, assert_ok=True)
workflow_jobs = self.__jobs_index(data={"workflow_id": workflow_id})
second_invocation_jobs = self.__jobs_index(
data={"invocation_id": second_invocation_id})
assert len(workflow_jobs) == 2
assert len(second_invocation_jobs) == 1
@uses_test_history(require_new=True)
def test_index_limit_and_offset_filter(self, history_id):
self.__history_with_new_dataset(history_id)
jobs = self.__jobs_index(data={"history_id": history_id})
assert len(jobs) > 0
length = len(jobs)
jobs = self.__jobs_index(data={"history_id": history_id, "offset": 1})
assert len(jobs) == length - 1
jobs = self.__jobs_index(data={"history_id": history_id, "limit": 0})
assert len(jobs) == 0
@uses_test_history(require_new=True)
def test_index_user_filter(self, history_id):
test_user_email = "*****@*****.**"
user = self._setup_user(test_user_email)
with self._different_user(email=test_user_email):
# User should be able to jobs for their own ID.
jobs = self.__jobs_index(data={"user_id": user["id"]})
assert jobs == []
# Admin should be able to see jobs of another user.
jobs = self.__jobs_index(data={"user_id": user["id"]}, admin=True)
assert jobs == []
# Normal user should not be able to see jobs of another user.
jobs_response = self._get("jobs", data={"user_id": user["id"]})
self._assert_status_code_is(jobs_response, 403)
assert jobs_response.json() == {
"err_msg": "Only admins can index the jobs of others",
"err_code": 403006
}
@uses_test_history(require_new=True)
def test_index_multiple_states_filter(self, history_id):
# Initial number of ok jobs
original_count = len(self.__uploads_with_state("ok", "new"))
# Run through dataset upload to ensure num uplaods at least greater
# by 1.
self.__history_with_ok_dataset(history_id)
# Verify number of ok jobs is actually greater.
new_count = len(self.__uploads_with_state("new", "ok"))
assert original_count < new_count, new_count
@uses_test_history(require_new=True)
def test_show(self, history_id):
job_properties_tool_run = self.dataset_populator.run_tool(
tool_id="job_properties",
inputs={},
history_id=history_id,
)
first_job = self.__jobs_index()[0]
self._assert_has_key(first_job, 'id', 'state', 'exit_code',
'update_time', 'create_time')
job_id = job_properties_tool_run["jobs"][0]["id"]
show_jobs_response = self.dataset_populator.get_job_details(job_id)
self._assert_status_code_is(show_jobs_response, 200)
job_details = show_jobs_response.json()
self._assert_has_key(job_details, 'id', 'state', 'exit_code',
'update_time', 'create_time')
show_jobs_response = self.dataset_populator.get_job_details(job_id,
full=True)
self._assert_status_code_is(show_jobs_response, 200)
job_details = show_jobs_response.json()
self._assert_has_key(
job_details,
"create_time",
"exit_code",
"id",
"job_messages",
"job_stderr",
"job_stdout",
"state",
"stderr",
"stdout",
"tool_stderr",
"tool_stdout",
"update_time",
)
self.dataset_populator.wait_for_job(job_id, assert_ok=True)
show_jobs_response = self.dataset_populator.get_job_details(job_id,
full=True)
job_details = show_jobs_response.json()
assert "The bool is not true\n" not in job_details["job_stdout"]
assert "The bool is very not true\n" not in job_details["job_stderr"]
assert job_details["tool_stdout"] == "The bool is not true\n"
assert job_details["tool_stderr"] == "The bool is very not true\n"
assert "The bool is not true\n" in job_details["stdout"]
assert "The bool is very not true\n" in job_details["stderr"]
@uses_test_history(require_new=True)
def test_show_security(self, history_id):
self.__history_with_new_dataset(history_id)
jobs_response = self._get("jobs", data={"history_id": history_id})
job = jobs_response.json()[0]
job_id = job["id"]
job_lock_response = self._get("job_lock", admin=True)
job_lock_response.raise_for_status()
assert not job_lock_response.json()["active"]
show_jobs_response = self._get(f"jobs/{job_id}", admin=False)
self._assert_not_has_keys(show_jobs_response.json(), "external_id")
# TODO: Re-activate test case when API accepts privacy settings
# with self._different_user():
# show_jobs_response = self._get( "jobs/%s" % job_id, admin=False )
# self._assert_status_code_is( show_jobs_response, 200 )
show_jobs_response = self._get(f"jobs/{job_id}", admin=True)
self._assert_has_keys(show_jobs_response.json(), "command_line",
"external_id")
def _run_detect_errors(self, history_id, inputs):
payload = self.dataset_populator.run_tool_payload(
tool_id='detect_errors_aggressive',
inputs=inputs,
history_id=history_id,
)
return self._post("tools", data=payload).json()
@skip_without_tool("detect_errors_aggressive")
def test_unhide_on_error(self):
with self.dataset_populator.test_history() as history_id:
inputs = {'error_bool': 'true'}
run_response = self._run_detect_errors(history_id=history_id,
inputs=inputs)
job_id = run_response['jobs'][0]["id"]
self.dataset_populator.wait_for_job(job_id)
job = self.dataset_populator.get_job_details(job_id).json()
assert job['state'] == 'error'
dataset = self.dataset_populator.get_history_dataset_details(
history_id=history_id,
dataset_id=run_response['outputs'][0]['id'],
assert_ok=False)
assert dataset['visible']
def _run_map_over_error(self, history_id):
hdca1 = self.dataset_collection_populator.create_list_in_history(
history_id, contents=[("sample1-1", "1 2 3")]).json()
inputs = {
'error_bool': 'true',
'dataset': {
'batch': True,
'values': [{
'src': 'hdca',
'id': hdca1['id']
}],
}
}
return self._run_detect_errors(history_id=history_id, inputs=inputs)
@skip_without_tool("detect_errors_aggressive")
def test_no_unhide_on_error_if_mapped_over(self):
with self.dataset_populator.test_history() as history_id:
run_response = self._run_map_over_error(history_id)
job_id = run_response['jobs'][0]["id"]
self.dataset_populator.wait_for_job(job_id)
job = self.dataset_populator.get_job_details(job_id).json()
assert job['state'] == 'error'
dataset = self.dataset_populator.get_history_dataset_details(
history_id=history_id,
dataset_id=run_response['outputs'][0]['id'],
assert_ok=False)
assert not dataset['visible']
def test_no_hide_on_rerun(self):
with self.dataset_populator.test_history() as history_id:
run_response = self._run_map_over_error(history_id)
job_id = run_response['jobs'][0]["id"]
self.dataset_populator.wait_for_job(job_id)
failed_hdca = self.dataset_populator.get_history_collection_details(
history_id=history_id,
content_id=run_response['implicit_collections'][0]['id'],
assert_ok=False,
)
first_update_time = failed_hdca['update_time']
assert failed_hdca['visible']
rerun_params = self._get(f"jobs/{job_id}/build_for_rerun").json()
inputs = rerun_params['state_inputs']
inputs['rerun_remap_job_id'] = job_id
rerun_response = self._run_detect_errors(history_id=history_id,
inputs=inputs)
rerun_job_id = rerun_response['jobs'][0]["id"]
self.dataset_populator.wait_for_job(rerun_job_id)
# Verify source hdca is still visible
hdca = self.dataset_populator.get_history_collection_details(
history_id=history_id,
content_id=run_response['implicit_collections'][0]['id'],
assert_ok=False,
)
assert hdca['visible']
assert isoparse(
hdca['update_time']) > (isoparse(first_update_time))
@skip_without_tool('empty_output')
def test_common_problems(self):
with self.dataset_populator.test_history() as history_id:
empty_run_response = self.dataset_populator.run_tool(
tool_id='empty_output',
inputs={},
history_id=history_id,
)
empty_hda = empty_run_response["outputs"][0]
cat_empty_twice_run_response = self.dataset_populator.run_tool(
tool_id='cat1',
inputs={
'input1': {
'src': 'hda',
'id': empty_hda['id']
},
'queries_0|input2': {
'src': 'hda',
'id': empty_hda['id']
}
},
history_id=history_id,
)
empty_output_job = empty_run_response["jobs"][0]
cat_empty_job = cat_empty_twice_run_response["jobs"][0]
empty_output_common_problems_response = self._get(
f"jobs/{empty_output_job['id']}/common_problems").json()
cat_empty_common_problems_response = self._get(
f"jobs/{cat_empty_job['id']}/common_problems").json()
self._assert_has_keys(empty_output_common_problems_response,
"has_empty_inputs", "has_duplicate_inputs")
self._assert_has_keys(cat_empty_common_problems_response,
"has_empty_inputs", "has_duplicate_inputs")
assert not empty_output_common_problems_response["has_empty_inputs"]
assert cat_empty_common_problems_response["has_empty_inputs"]
assert not empty_output_common_problems_response[
"has_duplicate_inputs"]
assert cat_empty_common_problems_response["has_duplicate_inputs"]
@skip_without_tool('detect_errors_aggressive')
def test_report_error(self):
with self.dataset_populator.test_history() as history_id:
self._run_error_report(history_id)
@skip_without_tool('detect_errors_aggressive')
def test_report_error_anon(self):
with self._different_user(anon=True):
history_id = self._get(
urllib.parse.urljoin(
self.url, "history/current_history_json")).json()['id']
self._run_error_report(history_id)
def _run_error_report(self, history_id):
payload = self.dataset_populator.run_tool_payload(
tool_id='detect_errors_aggressive',
inputs={'error_bool': 'true'},
history_id=history_id,
)
run_response = self._post("tools", data=payload).json()
job_id = run_response['jobs'][0]["id"]
self.dataset_populator.wait_for_job(job_id)
dataset_id = run_response['outputs'][0]['id']
response = self._post(f'jobs/{job_id}/error',
data={'dataset_id': dataset_id})
assert response.status_code == 200, response.text
@skip_without_tool('detect_errors_aggressive')
def test_report_error_bootstrap_admin(self):
with self.dataset_populator.test_history() as history_id:
payload = self.dataset_populator.run_tool_payload(
tool_id='detect_errors_aggressive',
inputs={'error_bool': 'true'},
history_id=history_id,
)
run_response = self._post("tools",
data=payload,
key=self.master_api_key)
self._assert_status_code_is(run_response, 400)
@skip_without_tool("create_2")
@uses_test_history(require_new=True)
def test_deleting_output_keep_running_until_all_deleted(self, history_id):
job_state, outputs = self._setup_running_two_output_job(
history_id, 120)
self._hack_to_skip_test_if_state_ok(job_state)
# Delete one of the two outputs and make sure the job is still running.
self._raw_update_history_item(history_id, outputs[0]["id"],
{"deleted": True})
self._hack_to_skip_test_if_state_ok(job_state)
time.sleep(1)
self._hack_to_skip_test_if_state_ok(job_state)
state = job_state().json()["state"]
assert state == "running", state
# Delete the second output and make sure the job is cancelled.
self._raw_update_history_item(history_id, outputs[1]["id"],
{"deleted": True})
final_state = wait_on_state(job_state, assert_ok=False, timeout=15)
assert final_state in ["deleting", "deleted"], final_state
@skip_without_tool("create_2")
@uses_test_history(require_new=True)
def test_purging_output_keep_running_until_all_purged(self, history_id):
job_state, outputs = self._setup_running_two_output_job(
history_id, 120)
# Pretty much right away after the job is running, these paths should be populated -
# if they are grab them and make sure they are deleted at the end of the job.
dataset_1 = self._get_history_item_as_admin(history_id,
outputs[0]["id"])
dataset_2 = self._get_history_item_as_admin(history_id,
outputs[1]["id"])
if "file_name" in dataset_1:
output_dataset_paths = [
dataset_1["file_name"], dataset_2["file_name"]
]
# This may or may not exist depending on if the test is local or not.
output_dataset_paths_exist = os.path.exists(
output_dataset_paths[0])
else:
output_dataset_paths = []
output_dataset_paths_exist = False
self._hack_to_skip_test_if_state_ok(job_state)
current_state = job_state().json()["state"]
assert current_state == "running", current_state
# Purge one of the two outputs and make sure the job is still running.
self._raw_update_history_item(history_id, outputs[0]["id"],
{"purged": True})
time.sleep(1)
self._hack_to_skip_test_if_state_ok(job_state)
current_state = job_state().json()["state"]
assert current_state == "running", current_state
# Purge the second output and make sure the job is cancelled.
self._raw_update_history_item(history_id, outputs[1]["id"],
{"purged": True})
final_state = wait_on_state(job_state, assert_ok=False, timeout=15)
assert final_state in ["deleting", "deleted"], final_state
def paths_deleted():
if not os.path.exists(
output_dataset_paths[0]) and not os.path.exists(
output_dataset_paths[1]):
return True
if output_dataset_paths_exist:
wait_on(paths_deleted, "path deletion")
@skip_without_tool("create_2")
@uses_test_history(require_new=True)
def test_purging_output_cleaned_after_ok_run(self, history_id):
job_state, outputs = self._setup_running_two_output_job(history_id, 10)
# Pretty much right away after the job is running, these paths should be populated -
# if they are grab them and make sure they are deleted at the end of the job.
dataset_1 = self._get_history_item_as_admin(history_id,
outputs[0]["id"])
dataset_2 = self._get_history_item_as_admin(history_id,
outputs[1]["id"])
if "file_name" in dataset_1:
output_dataset_paths = [
dataset_1["file_name"], dataset_2["file_name"]
]
# This may or may not exist depending on if the test is local or not.
output_dataset_paths_exist = os.path.exists(
output_dataset_paths[0])
else:
output_dataset_paths = []
output_dataset_paths_exist = False
if not output_dataset_paths_exist:
# Given this Galaxy configuration - there is nothing more to be tested here.
# Consider throwing a skip instead.
return
# Purge one of the two outputs and wait for the job to complete.
self._raw_update_history_item(history_id, outputs[0]["id"],
{"purged": True})
wait_on_state(job_state, assert_ok=True)
if output_dataset_paths_exist:
time.sleep(.5)
# Make sure the non-purged dataset is on disk and the purged one is not.
assert os.path.exists(output_dataset_paths[1])
assert not os.path.exists(output_dataset_paths[0])
def _hack_to_skip_test_if_state_ok(self, job_state):
from nose.plugins.skip import SkipTest
if job_state().json()["state"] == "ok":
message = "Job state switch from running to ok too quickly - the rest of the test requires the job to be in a running state. Skipping test."
raise SkipTest(message)
def _setup_running_two_output_job(self, history_id, sleep_time):
payload = self.dataset_populator.run_tool_payload(
tool_id='create_2',
inputs=dict(sleep_time=sleep_time, ),
history_id=history_id,
)
run_response = self._post("tools", data=payload)
run_response.raise_for_status()
run_object = run_response.json()
outputs = run_object["outputs"]
jobs = run_object["jobs"]
assert len(outputs) == 2
assert len(jobs) == 1
def job_state():
jobs_response = self._get(f"jobs/{jobs[0]['id']}")
return jobs_response
# Give job some time to get up and running.
time.sleep(2)
running_state = wait_on_state(job_state,
skip_states=["queued", "new"],
assert_ok=False,
timeout=15)
assert running_state == "running", running_state
return job_state, outputs
def _raw_update_history_item(self, history_id, item_id, data):
update_url = self._api_url(
f"histories/{history_id}/contents/{item_id}", use_key=True)
update_response = requests.put(update_url, json=data)
assert_status_code_is_ok(update_response)
return update_response
@skip_without_tool("cat_data_and_sleep")
@uses_test_history(require_new=True)
def test_resume_job(self, history_id):
hda1 = self.dataset_populator.new_dataset(
history_id, content="samp1\t10.0\nsamp2\t20.0\n")
hda2 = self.dataset_populator.new_dataset(
history_id, content="samp1\t30.0\nsamp2\t40.0\n")
# Submit first job
payload = self.dataset_populator.run_tool_payload(
tool_id='cat_data_and_sleep',
inputs={
'sleep_time': 15,
'input1': {
'src': 'hda',
'id': hda2['id']
},
'queries_0|input2': {
'src': 'hda',
'id': hda2['id']
}
},
history_id=history_id,
)
run_response = self._post("tools", data=payload).json()
output = run_response["outputs"][0]
# Submit second job that waits on job1
payload = self.dataset_populator.run_tool_payload(
tool_id='cat1',
inputs={
'input1': {
'src': 'hda',
'id': hda1['id']
},
'queries_0|input2': {
'src': 'hda',
'id': output['id']
}
},
history_id=history_id,
)
run_response = self._post("tools", data=payload).json()
job_id = run_response['jobs'][0]['id']
output = run_response["outputs"][0]
# Delete second jobs input while second job is waiting for first job
delete_response = self._delete(
f"histories/{history_id}/contents/{hda1['id']}")
self._assert_status_code_is(delete_response, 200)
self.dataset_populator.wait_for_history_jobs(history_id,
assert_ok=False)
dataset_details = self._get(
f"histories/{history_id}/contents/{output['id']}").json()
assert dataset_details['state'] == 'paused'
# Undelete input dataset
undelete_response = self._put(
f"histories/{history_id}/contents/{hda1['id']}",
data={'deleted': False},
json=True)
self._assert_status_code_is(undelete_response, 200)
resume_response = self._put(f"jobs/{job_id}/resume")
self._assert_status_code_is(resume_response, 200)
self.dataset_populator.wait_for_history_jobs(history_id,
assert_ok=True)
dataset_details = self._get(
f"histories/{history_id}/contents/{output['id']}").json()
assert dataset_details['state'] == 'ok'
def _get_history_item_as_admin(self, history_id, item_id):
response = self._get(
f"histories/{history_id}/contents/{item_id}?view=detailed",
admin=True)
assert_status_code_is_ok(response)
return response.json()
@uses_test_history(require_new=True)
def test_search(self, history_id):
dataset_id = self.__history_with_ok_dataset(history_id)
# We first copy the datasets, so that the update time is lower than the job creation time
new_history_id = self.dataset_populator.new_history()
copy_payload = {
"content": dataset_id,
"source": "hda",
"type": "dataset"
}
copy_response = self._post(f"histories/{new_history_id}/contents",
data=copy_payload,
json=True)
self._assert_status_code_is(copy_response, 200)
inputs = json.dumps({'input1': {'src': 'hda', 'id': dataset_id}})
self._job_search(tool_id='cat1', history_id=history_id, inputs=inputs)
# We test that a job can be found even if the dataset has been copied to another history
new_dataset_id = copy_response.json()['id']
copied_inputs = json.dumps(
{'input1': {
'src': 'hda',
'id': new_dataset_id
}})
search_payload = self._search_payload(history_id=history_id,
tool_id='cat1',
inputs=copied_inputs)
self._search(search_payload, expected_search_count=1)
# Now we delete the original input HDA that was used -- we should still be able to find the job
delete_respone = self._delete(
f"histories/{history_id}/contents/{dataset_id}")
self._assert_status_code_is(delete_respone, 200)
self._search(search_payload, expected_search_count=1)
# Now we also delete the copy -- we shouldn't find a job
delete_respone = self._delete(
f"histories/{new_history_id}/contents/{new_dataset_id}")
self._assert_status_code_is(delete_respone, 200)
self._search(search_payload, expected_search_count=0)
@uses_test_history(require_new=True)
def test_search_handle_identifiers(self, history_id):
# Test that input name and element identifier of a jobs' output must match for a job to be returned.
dataset_id = self.__history_with_ok_dataset(history_id)
inputs = json.dumps({'input1': {'src': 'hda', 'id': dataset_id}})
self._job_search(tool_id='identifier_single',
history_id=history_id,
inputs=inputs)
dataset_details = self._get(
f"histories/{history_id}/contents/{dataset_id}").json()
dataset_details['name'] = 'Renamed Test Dataset'
dataset_update_response = self._put(
f"histories/{history_id}/contents/{dataset_id}",
data=dict(name='Renamed Test Dataset'),
json=True)
self._assert_status_code_is(dataset_update_response, 200)
assert dataset_update_response.json()['name'] == 'Renamed Test Dataset'
search_payload = self._search_payload(history_id=history_id,
tool_id='identifier_single',
inputs=inputs)
self._search(search_payload, expected_search_count=0)
@uses_test_history(require_new=True)
def test_search_delete_outputs(self, history_id):
dataset_id = self.__history_with_ok_dataset(history_id)
inputs = json.dumps({'input1': {'src': 'hda', 'id': dataset_id}})
tool_response = self._job_search(tool_id='cat1',
history_id=history_id,
inputs=inputs)
output_id = tool_response.json()['outputs'][0]['id']
delete_respone = self._delete(
f"histories/{history_id}/contents/{output_id}")
self._assert_status_code_is(delete_respone, 200)
search_payload = self._search_payload(history_id=history_id,
tool_id='cat1',
inputs=inputs)
self._search(search_payload, expected_search_count=0)
@uses_test_history(require_new=True)
def test_search_with_hdca_list_input(self, history_id):
list_id_a = self.__history_with_ok_collection(collection_type='list',
history_id=history_id)
list_id_b = self.__history_with_ok_collection(collection_type='list',
history_id=history_id)
inputs = json.dumps({
'f1': {
'src': 'hdca',
'id': list_id_a
},
'f2': {
'src': 'hdca',
'id': list_id_b
},
})
tool_response = self._job_search(tool_id='multi_data_param',
history_id=history_id,
inputs=inputs)
# We switch the inputs, this should not return a match
inputs_switched = json.dumps({
'f2': {
'src': 'hdca',
'id': list_id_a
},
'f1': {
'src': 'hdca',
'id': list_id_b
},
})
search_payload = self._search_payload(history_id=history_id,
tool_id='multi_data_param',
inputs=inputs_switched)
self._search(search_payload, expected_search_count=0)
# We delete the ouput (this is a HDA, as multi_data_param reduces collections)
# and use the correct input job definition, the job should not be found
output_id = tool_response.json()['outputs'][0]['id']
delete_respone = self._delete(
f"histories/{history_id}/contents/{output_id}")
self._assert_status_code_is(delete_respone, 200)
search_payload = self._search_payload(history_id=history_id,
tool_id='multi_data_param',
inputs=inputs)
self._search(search_payload, expected_search_count=0)
@uses_test_history(require_new=True)
def test_search_delete_hdca_output(self, history_id):
list_id_a = self.__history_with_ok_collection(collection_type='list',
history_id=history_id)
inputs = json.dumps({
'input1': {
'src': 'hdca',
'id': list_id_a
},
})
tool_response = self._job_search(tool_id='collection_creates_list',
history_id=history_id,
inputs=inputs)
output_id = tool_response.json()['outputs'][0]['id']
# We delete a single tool output, no job should be returned
delete_respone = self._delete(
f"histories/{history_id}/contents/{output_id}")
self._assert_status_code_is(delete_respone, 200)
search_payload = self._search_payload(
history_id=history_id,
tool_id='collection_creates_list',
inputs=inputs)
self._search(search_payload, expected_search_count=0)
tool_response = self._job_search(tool_id='collection_creates_list',
history_id=history_id,
inputs=inputs)
output_collection_id = tool_response.json(
)['output_collections'][0]['id']
# We delete a collection output, no job should be returned
delete_respone = self._delete(
f"histories/{history_id}/contents/dataset_collections/{output_collection_id}"
)
self._assert_status_code_is(delete_respone, 200)
search_payload = self._search_payload(
history_id=history_id,
tool_id='collection_creates_list',
inputs=inputs)
self._search(search_payload, expected_search_count=0)
@uses_test_history(require_new=True)
def test_search_with_hdca_pair_input(self, history_id):
list_id_a = self.__history_with_ok_collection(collection_type='pair',
history_id=history_id)
inputs = json.dumps({
'f1': {
'src': 'hdca',
'id': list_id_a
},
'f2': {
'src': 'hdca',
'id': list_id_a
},
})
self._job_search(tool_id='multi_data_param',
history_id=history_id,
inputs=inputs)
# We test that a job can be found even if the collection has been copied to another history
new_history_id = self.dataset_populator.new_history()
copy_payload = {
"content": list_id_a,
"source": "hdca",
"type": "dataset_collection"
}
copy_response = self._post(f"histories/{new_history_id}/contents",
data=copy_payload,
json=True)
self._assert_status_code_is(copy_response, 200)
new_list_a = copy_response.json()['id']
copied_inputs = json.dumps({
'f1': {
'src': 'hdca',
'id': new_list_a
},
'f2': {
'src': 'hdca',
'id': new_list_a
},
})
search_payload = self._search_payload(history_id=new_history_id,
tool_id='multi_data_param',
inputs=copied_inputs)
self._search(search_payload, expected_search_count=1)
# Now we delete the original input HDCA that was used -- we should still be able to find the job
delete_respone = self._delete(
f"histories/{history_id}/contents/dataset_collections/{list_id_a}")
self._assert_status_code_is(delete_respone, 200)
self._search(search_payload, expected_search_count=1)
# Now we also delete the copy -- we shouldn't find a job
delete_respone = self._delete(
f"histories/{history_id}/contents/dataset_collections/{new_list_a}"
)
self._assert_status_code_is(delete_respone, 200)
self._search(search_payload, expected_search_count=0)
@uses_test_history(require_new=True)
def test_search_with_hdca_list_pair_input(self, history_id):
list_id_a = self.__history_with_ok_collection(
collection_type='list:pair', history_id=history_id)
inputs = json.dumps({
'f1': {
'src': 'hdca',
'id': list_id_a
},
'f2': {
'src': 'hdca',
'id': list_id_a
},
})
self._job_search(tool_id='multi_data_param',
history_id=history_id,
inputs=inputs)
@uses_test_history(require_new=True)
def test_search_with_hdca_list_pair_collection_mapped_over_pair_input(
self, history_id):
list_id_a = self.__history_with_ok_collection(
collection_type='list:pair', history_id=history_id)
inputs = json.dumps({
'f1': {
'batch':
True,
'values': [{
'src': 'hdca',
'id': list_id_a,
'map_over_type': 'paired'
}]
},
})
self._job_search(tool_id='collection_paired_test',
history_id=history_id,
inputs=inputs)
def _get_simple_rerun_params(self, history_id, private=False):
list_id_a = self.__history_with_ok_collection(
collection_type='list:pair', history_id=history_id)
inputs = {
'f1': {
'batch':
True,
'values': [{
'src': 'hdca',
'id': list_id_a,
'map_over_type': 'paired'
}]
}
}
run_response = self._run(
history_id=history_id,
tool_id="collection_paired_test",
inputs=inputs,
wait_for_job=True,
assert_ok=True,
)
rerun_params = self._get(
f"jobs/{run_response['jobs'][0]['id']}/build_for_rerun").json()
# Since we call rerun on the first (and only) job we should get the expanded input
# which is a dataset collection element (and not the list:pair hdca that was used as input to the original
# job).
assert rerun_params['state_inputs']['f1']['values'][0]['src'] == 'dce'
if private:
hdca = self.dataset_populator.get_history_collection_details(
history_id=history_id, content_id=list_id_a)
for element in hdca['elements'][0]['object']['elements']:
self.dataset_populator.make_private(history_id,
element['object']['id'])
return rerun_params
@skip_without_tool("collection_paired_test")
@uses_test_history(require_new=False)
def test_job_build_for_rerun(self, history_id):
rerun_params = self._get_simple_rerun_params(history_id)
self._run(
history_id=history_id,
tool_id="collection_paired_test",
inputs=rerun_params['state_inputs'],
wait_for_job=True,
assert_ok=True,
)
@skip_without_tool("collection_paired_test")
@uses_test_history(require_new=False)
def test_dce_submission_security(self, history_id):
rerun_params = self._get_simple_rerun_params(history_id, private=True)
with self._different_user():
other_history_id = self.dataset_populator.new_history()
response = self._run(
history_id=other_history_id,
tool_id="collection_paired_test",
inputs=rerun_params['state_inputs'],
wait_for_job=False,
assert_ok=False,
)
assert response.status_code == 403
@skip_without_tool("identifier_collection")
@uses_test_history(require_new=False)
def test_job_build_for_rerun_list_list(self, history_id):
list_id_a = self.__history_with_ok_collection(collection_type='list',
history_id=history_id)
list_id_b = self.__history_with_ok_collection(collection_type='list',
history_id=history_id)
list_list = self.dataset_collection_populator.create_nested_collection(
history_id=history_id,
collection_type='list:list',
name='list list collection',
collection=[list_id_a, list_id_b]).json()
list_list_id = list_list['id']
first_element = list_list['elements'][0]
assert first_element['element_type'] == 'dataset_collection'
assert first_element['element_identifier'] == 'test0'
assert first_element['model_class'] == 'DatasetCollectionElement'
inputs = {
'input1': {
'batch':
True,
'values': [{
'src': 'hdca',
'id': list_list_id,
'map_over_type': 'list'
}]
}
}
run_response = self._run(
history_id=history_id,
tool_id="identifier_collection",
inputs=inputs,
wait_for_job=True,
assert_ok=True,
)
assert len(run_response['jobs']) == 2
rerun_params = self._get(
f"jobs/{run_response['jobs'][0]['id']}/build_for_rerun").json()
# Since we call rerun on the first (and only) job we should get the expanded input
# which is a dataset collection element (and not the list:list hdca that was used as input to the original
# job).
assert rerun_params['state_inputs']['input1']['values'][0][
'src'] == 'dce'
rerun_response = self._run(
history_id=history_id,
tool_id="identifier_collection",
inputs=rerun_params['state_inputs'],
wait_for_job=True,
assert_ok=True,
)
assert len(rerun_response['jobs']) == 1
rerun_content = self.dataset_populator.get_history_dataset_content(
history_id=history_id, dataset=rerun_response['outputs'][0])
run_content = self.dataset_populator.get_history_dataset_content(
history_id=history_id, dataset=run_response['outputs'][0])
assert rerun_content == run_content
def _job_search(self, tool_id, history_id, inputs):
search_payload = self._search_payload(history_id=history_id,
tool_id=tool_id,
inputs=inputs)
empty_search_response = self._post("jobs/search", data=search_payload)
self._assert_status_code_is(empty_search_response, 200)
self.assertEqual(len(empty_search_response.json()), 0)
tool_response = self._post("tools", data=search_payload)
self.dataset_populator.wait_for_tool_run(history_id,
run_response=tool_response)
self._search(search_payload, expected_search_count=1)
return tool_response
def _search_payload(self, history_id, tool_id, inputs, state='ok'):
search_payload = dict(tool_id=tool_id,
inputs=inputs,
history_id=history_id,
state=state)
return search_payload
def _search(self, payload, expected_search_count=1):
# in case job and history aren't updated at exactly the same
# time give time to wait
for _ in range(5):
search_count = self._search_count(payload)
if search_count == expected_search_count:
break
time.sleep(1)
assert search_count == expected_search_count, "expected to find %d jobs, got %d jobs" % (
expected_search_count, search_count)
return search_count
def _search_count(self, search_payload):
search_response = self._post("jobs/search", data=search_payload)
self._assert_status_code_is(search_response, 200)
search_json = search_response.json()
return len(search_json)
def __uploads_with_state(self, *states):
jobs_response = self._get("jobs", data=dict(state=states))
self._assert_status_code_is(jobs_response, 200)
jobs = jobs_response.json()
assert not [j for j in jobs if not j['state'] in states]
return [j for j in jobs if j['tool_id'] == 'upload1']
def __history_with_new_dataset(self, history_id):
dataset_id = self.dataset_populator.new_dataset(history_id)["id"]
return dataset_id
def __history_with_ok_dataset(self, history_id):
dataset_id = self.dataset_populator.new_dataset(history_id,
wait=True)["id"]
return dataset_id
def __history_with_ok_collection(self,
collection_type='list',
history_id=None):
if not history_id:
history_id = self.dataset_populator.new_history()
if collection_type == 'list':
fetch_response = self.dataset_collection_populator.create_list_in_history(
history_id, direct_upload=True).json()
elif collection_type == 'pair':
fetch_response = self.dataset_collection_populator.create_pair_in_history(
history_id, direct_upload=True).json()
elif collection_type == 'list:pair':
fetch_response = self.dataset_collection_populator.create_list_of_pairs_in_history(
history_id).json()
self.dataset_collection_populator.wait_for_fetched_collection(
fetch_response)
return fetch_response["outputs"][0]['id']
def __jobs_index(self, **kwds):
jobs_response = self._get("jobs", **kwds)
self._assert_status_code_is(jobs_response, 200)
jobs = jobs_response.json()
assert isinstance(jobs, list)
return jobs
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("datasets/%s" % (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(
"histories/{}/contents/{}/display".format(self.history_id,
hda1["id"]),
{'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 = {
'item_id':
hda_id,
'item_class':
'HistoryDatasetAssociation',
'item_tags':
['cool:tag_a', 'cool:tag_b', 'tag_c', 'name:tag_d', '#tag_e'],
}
self._put("tags", payload).json()
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)
def setUp(self):
super(DatasetsApiTestCase, self).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 _set_up_populators(self):
self.dataset_populator = DatasetPopulator(self.galaxy_interactor)
self.dataset_collection_populator = DatasetCollectionPopulator(self.galaxy_interactor)
class HistoriesApiTestCase(ApiTestCase, BaseHistories):
def setUp(self):
super().setUp()
self.dataset_populator = DatasetPopulator(self.galaxy_interactor)
self.dataset_collection_populator = DatasetCollectionPopulator(self.galaxy_interactor)
def test_create_history(self):
# Create a history.
create_response = self._create_history("TestHistory1")
created_id = create_response["id"]
# Make sure new history appears in index of user's histories.
index_response = self._get("histories").json()
indexed_history = [h for h in index_response if h["id"] == created_id][0]
self.assertEqual(indexed_history["name"], "TestHistory1")
def test_create_history_json(self):
name = "TestHistoryJson"
post_data = dict(name=name)
create_response = self._post("histories", data=post_data, json=True).json()
self._assert_has_keys(create_response, "name", "id")
self.assertEqual(create_response["name"], name)
return create_response
def test_show_history(self):
history_id = self._create_history("TestHistoryForShow")["id"]
show_response = self._show(history_id)
self._assert_has_key(
show_response,
'id', 'name', 'annotation', 'size', 'contents_url',
'state', 'state_details', 'state_ids'
)
state_details = show_response["state_details"]
state_ids = show_response["state_ids"]
states = [
'discarded', 'empty', 'error', 'failed_metadata', 'new',
'ok', 'paused', 'queued', 'running', 'setting_metadata', 'upload'
]
assert isinstance(state_details, dict)
assert isinstance(state_ids, dict)
self._assert_has_keys(state_details, *states)
self._assert_has_keys(state_ids, *states)
def test_show_most_recently_used(self):
history_id = self._create_history("TestHistoryRecent")["id"]
show_response = self._get("histories/most_recently_used").json()
assert show_response["id"] == history_id
def test_index_order(self):
slightly_older_history_id = self._create_history("TestHistorySlightlyOlder")["id"]
newer_history_id = self._create_history("TestHistoryNewer")["id"]
index_response = self._get("histories").json()
assert index_response[0]["id"] == newer_history_id
assert index_response[1]["id"] == slightly_older_history_id
def test_delete(self):
# Setup a history and ensure it is in the index
history_id = self._create_history("TestHistoryForDelete")["id"]
index_response = self._get("histories").json()
assert index_response[0]["id"] == history_id
show_response = self._show(history_id)
assert not show_response["deleted"]
# Delete the history
self._delete(f"histories/{history_id}")
# Check can view it - but it is deleted
show_response = self._show(history_id)
assert show_response["deleted"]
# Verify it is dropped from history index
index_response = self._get("histories").json()
assert len(index_response) == 0 or index_response[0]["id"] != history_id
# Add deleted filter to index to view it
index_response = self._get("histories", {"deleted": "true"}).json()
assert index_response[0]["id"] == history_id
def test_purge(self):
history_id = self._create_history("TestHistoryForPurge")["id"]
data = {'purge': True}
self._delete(f"histories/{history_id}", data=data, json=True)
show_response = self._show(history_id)
assert show_response["deleted"]
assert show_response["purged"]
def test_undelete(self):
history_id = self._create_history("TestHistoryForDeleteAndUndelete")["id"]
self._delete(f"histories/{history_id}")
self._post(f"histories/deleted/{history_id}/undelete")
show_response = self._show(history_id)
assert not show_response["deleted"]
def test_update(self):
history_id = self._create_history("TestHistoryForUpdating")["id"]
self._update(history_id, {"name": "New Name"})
show_response = self._show(history_id)
assert show_response["name"] == "New Name"
unicode_name = '桜ゲノム'
self._update(history_id, {"name": unicode_name})
show_response = self._show(history_id)
assert show_response["name"] == unicode_name, show_response
quoted_name = "'MooCow'"
self._update(history_id, {"name": quoted_name})
show_response = self._show(history_id)
assert show_response["name"] == quoted_name
self._update(history_id, {"deleted": True})
show_response = self._show(history_id)
assert show_response["deleted"], show_response
self._update(history_id, {"deleted": False})
show_response = self._show(history_id)
assert not show_response["deleted"]
self._update(history_id, {"published": True})
show_response = self._show(history_id)
assert show_response["published"]
self._update(history_id, {"genome_build": "hg18"})
show_response = self._show(history_id)
assert show_response["genome_build"] == "hg18"
self._update(history_id, {"annotation": "The annotation is cool"})
show_response = self._show(history_id)
assert show_response["annotation"] == "The annotation is cool"
self._update(history_id, {"annotation": unicode_name})
show_response = self._show(history_id)
assert show_response["annotation"] == unicode_name, show_response
self._update(history_id, {"annotation": quoted_name})
show_response = self._show(history_id)
assert show_response["annotation"] == quoted_name
def test_update_invalid_attribute(self):
history_id = self._create_history("TestHistoryForInvalidUpdating")["id"]
put_response = self._update(history_id, {"invalidkey": "moo"})
assert "invalidkey" not in put_response.json()
def test_update_invalid_types(self):
history_id = self._create_history("TestHistoryForUpdatingInvalidTypes")["id"]
for str_key in ["name", "annotation"]:
assert self._update(history_id, {str_key: False}).status_code == 400
for bool_key in ['deleted', 'importable', 'published']:
assert self._update(history_id, {bool_key: "a string"}).status_code == 400
assert self._update(history_id, {"tags": "a simple string"}).status_code == 400
assert self._update(history_id, {"tags": [True]}).status_code == 400
def test_invalid_keys(self):
invalid_history_id = "1234123412341234"
assert self._get(f"histories/{invalid_history_id}").status_code == 400
assert self._update(invalid_history_id, {"name": "new name"}).status_code == 400
assert self._delete(f"histories/{invalid_history_id}").status_code == 400
assert self._post(f"histories/deleted/{invalid_history_id}/undelete").status_code == 400
def test_create_anonymous_fails(self):
post_data = dict(name="CannotCreate")
create_response = self._post("histories", data=post_data, anon=True)
self._assert_status_code_is(create_response, 403)
def test_create_without_session_fails(self):
post_data = dict(name="SessionNeeded")
# Using admin=True will boostrap an Admin user without session
create_response = self._post("histories", data=post_data, admin=True, json=True)
self._assert_status_code_is(create_response, 400)
def test_create_tag(self):
post_data = dict(name="TestHistoryForTag")
history_id = self._post("histories", data=post_data, json=True).json()["id"]
tag_data = dict(value="awesometagvalue")
tag_url = f"histories/{history_id}/tags/awesometagname"
tag_create_response = self._post(tag_url, data=tag_data, json=True)
self._assert_status_code_is(tag_create_response, 200)
def test_copy_history(self):
history_id = self.dataset_populator.new_history()
fetch_response = self.dataset_collection_populator.create_list_in_history(history_id, contents=["Hello", "World"], direct_upload=True)
dataset_collection = self.dataset_collection_populator.wait_for_fetched_collection(fetch_response.json())
copied_history_response = self.dataset_populator.copy_history(history_id)
copied_history_response.raise_for_status()
copied_history = copied_history_response.json()
copied_collection = self.dataset_populator.get_history_collection_details(history_id=copied_history['id'], history_content_type="dataset_collection")
assert dataset_collection['name'] == copied_collection['name']
assert dataset_collection['id'] != copied_collection['id']
assert len(dataset_collection['elements']) == len(copied_collection['elements']) == 2
source_element = dataset_collection['elements'][0]
copied_element = copied_collection['elements'][0]
assert source_element['element_identifier'] == copied_element['element_identifier'] == 'data0'
assert source_element['id'] != copied_element['id']
source_hda = source_element['object']
copied_hda = copied_element['object']
assert source_hda['name'] == copied_hda['name'] == 'data0'
assert source_hda['id'] != copied_hda['id']
assert source_hda['history_id'] != copied_hda['history_id']
assert source_hda['hid'] == copied_hda['hid'] == 2
class HistoryContentsApiTestCase(ApiTestCase):
def setUp(self):
super().setUp()
self.dataset_populator = DatasetPopulator(self.galaxy_interactor)
self.dataset_collection_populator = DatasetCollectionPopulator(
self.galaxy_interactor)
self.library_populator = LibraryPopulator(self.galaxy_interactor)
self.history_id = self.dataset_populator.new_history()
def test_index_hda_summary(self):
hda1 = self.dataset_populator.new_dataset(self.history_id)
contents_response = self._get("histories/%s/contents" %
self.history_id)
hda_summary = self.__check_for_hda(contents_response, hda1)
assert "display_types" not in hda_summary # Quick summary, not full details
def test_make_private_and_public(self):
hda1 = self._wait_for_new_hda()
update_url = "histories/{}/contents/{}/permissions".format(
self.history_id, hda1["id"])
role_id = self.dataset_populator.user_private_role_id()
# Give manage permission to the user.
payload = {
"access": [],
"manage": [role_id],
}
update_response = self._update_permissions(update_url,
payload,
admin=True)
self._assert_status_code_is(update_response, 200)
self._assert_other_user_can_access(hda1["id"])
# Then we restrict access.
payload = {
"action": "make_private",
}
update_response = self._update_permissions(update_url, payload)
self._assert_status_code_is(update_response, 200)
self._assert_other_user_cannot_access(hda1["id"])
# Then we restrict access.
payload = {
"action": "remove_restrictions",
}
update_response = self._update_permissions(update_url, payload)
self._assert_status_code_is(update_response, 200)
self._assert_other_user_can_access(hda1["id"])
def test_set_permissions_add_admin_history_contents(self):
self._verify_dataset_permissions("history_contents")
def test_set_permissions_add_admin_datasets(self):
self._verify_dataset_permissions("dataset")
def _verify_dataset_permissions(self, api_endpoint):
hda1 = self._wait_for_new_hda()
hda_id = hda1["id"]
if api_endpoint == "history_contents":
update_url = f"histories/{self.history_id}/contents/{hda_id}/permissions"
else:
update_url = "datasets/%s/permissions" % hda_id
role_id = self.dataset_populator.user_private_role_id()
payload = {
"access": [role_id],
"manage": [role_id],
}
# Other users cannot modify permissions.
with self._different_user():
update_response = self._update_permissions(update_url, payload)
self._assert_status_code_is(update_response, 403)
# First the details render for another user.
self._assert_other_user_can_access(hda_id)
# Then we restrict access.
update_response = self._update_permissions(update_url,
payload,
admin=True)
self._assert_status_code_is(update_response, 200)
# Finally the details don't render.
self._assert_other_user_cannot_access(hda_id)
# But they do for the original user.
contents_response = self._get(
f"histories/{self.history_id}/contents/{hda_id}").json()
assert "name" in contents_response
update_response = self._update_permissions(update_url, payload)
self._assert_status_code_is(update_response, 200)
payload = {
"access": [role_id],
"manage": [role_id],
}
update_response = self._update_permissions(update_url, payload)
self._assert_status_code_is(update_response, 200)
self._assert_other_user_cannot_access(hda_id)
user_id = self.dataset_populator.user_id()
with self._different_user():
different_user_id = self.dataset_populator.user_id()
combined_user_role = self.dataset_populator.create_role(
[user_id, different_user_id],
description="role for testing permissions")
payload = {
"access": [combined_user_role["id"]],
"manage": [role_id],
}
update_response = self._update_permissions(update_url, payload)
self._assert_status_code_is(update_response, 200)
# Now other user can see dataset again with access permission.
self._assert_other_user_can_access(hda_id)
# access doesn't imply management though...
with self._different_user():
update_response = self._update_permissions(update_url, payload)
self._assert_status_code_is(update_response, 403)
def _assert_other_user_cannot_access(self, history_content_id):
with self._different_user():
contents_response = self.dataset_populator.get_history_dataset_details_raw(
history_id=self.history_id, dataset_id=history_content_id)
assert contents_response.status_code == 403
def _assert_other_user_can_access(self, history_content_id):
with self._different_user():
contents_response = self.dataset_populator.get_history_dataset_details_raw(
history_id=self.history_id, dataset_id=history_content_id)
contents_response.raise_for_status()
assert "name" in contents_response.json()
def test_index_hda_all_details(self):
hda1 = self.dataset_populator.new_dataset(self.history_id)
contents_response = self._get("histories/%s/contents?details=all" %
self.history_id)
hda_details = self.__check_for_hda(contents_response, hda1)
self.__assert_hda_has_full_details(hda_details)
def test_index_hda_detail_by_id(self):
hda1 = self.dataset_populator.new_dataset(self.history_id)
contents_response = self._get(
"histories/{}/contents?details={}".format(self.history_id,
hda1["id"]))
hda_details = self.__check_for_hda(contents_response, hda1)
self.__assert_hda_has_full_details(hda_details)
def test_show_hda(self):
hda1 = self.dataset_populator.new_dataset(self.history_id)
show_response = self.__show(hda1)
self._assert_status_code_is(show_response, 200)
self.__assert_matches_hda(hda1, show_response.json())
def test_hda_copy(self):
hda1 = self.dataset_populator.new_dataset(self.history_id)
create_data = dict(
source='hda',
content=hda1["id"],
)
second_history_id = self.dataset_populator.new_history()
assert self.__count_contents(second_history_id) == 0
create_response = self._post(
"histories/%s/contents" % second_history_id, create_data)
self._assert_status_code_is(create_response, 200)
assert self.__count_contents(second_history_id) == 1
def test_library_copy(self):
ld = self.library_populator.new_library_dataset("lda_test_library")
create_data = dict(
source='library',
content=ld["id"],
)
assert self.__count_contents(self.history_id) == 0
create_response = self._post("histories/%s/contents" % self.history_id,
create_data)
self._assert_status_code_is(create_response, 200)
assert self.__count_contents(self.history_id) == 1
def test_update(self):
hda1 = self._wait_for_new_hda()
assert str(hda1["deleted"]).lower() == "false"
update_response = self._raw_update(hda1["id"], dict(deleted=True))
self._assert_status_code_is(update_response, 200)
show_response = self.__show(hda1)
assert str(show_response.json()["deleted"]).lower() == "true"
update_response = self._raw_update(hda1["id"],
dict(name="Updated Name"))
assert self.__show(hda1).json()["name"] == "Updated Name"
update_response = self._raw_update(hda1["id"],
dict(name="Updated Name"))
assert self.__show(hda1).json()["name"] == "Updated Name"
unicode_name = 'ржевский сапоги'
update_response = self._raw_update(hda1["id"], dict(name=unicode_name))
updated_hda = self.__show(hda1).json()
assert updated_hda["name"] == unicode_name, updated_hda
quoted_name = '"Mooo"'
update_response = self._raw_update(hda1["id"], dict(name=quoted_name))
updated_hda = self.__show(hda1).json()
assert updated_hda["name"] == quoted_name, quoted_name
data = {
"dataset_id": hda1["id"],
"name": "moocow",
"dbkey": "?",
"annotation": None,
"info": "my info is",
"operation": "attributes"
}
update_response = self._set_edit_update(data)
# No key or anything supplied, expect a permission problem.
# A bit questionable but I think this is a 400 instead of a 403 so that
# we don't distinguish between this is a valid ID you don't have access to
# and this is an invalid ID.
assert update_response.status_code == 400, update_response.content
def test_update_batch(self):
hda1 = self._wait_for_new_hda()
assert str(hda1["deleted"]).lower() == "false"
payload = dict(items=[{
"history_content_type": "dataset",
"id": hda1["id"]
}],
deleted=True)
update_response = self._raw_update_batch(payload)
objects = update_response.json()
assert objects[0]["deleted"]
def test_update_type_failures(self):
hda1 = self._wait_for_new_hda()
update_response = self._raw_update(hda1["id"],
dict(deleted='not valid'))
self._assert_status_code_is(update_response, 400)
def _wait_for_new_hda(self):
hda1 = self.dataset_populator.new_dataset(self.history_id)
self.dataset_populator.wait_for_history(self.history_id)
return hda1
def _set_edit_update(self, json):
set_edit_url = "%s/dataset/set_edit" % self.url
update_response = put(set_edit_url, json=json)
return update_response
def _raw_update(self, item_id, data, admin=False, history_id=None):
history_id = history_id or self.history_id
key_param = "use_admin_key" if admin else "use_key"
update_url = self._api_url(
f"histories/{history_id}/contents/{item_id}", **{key_param: True})
update_response = put(update_url, json=data)
return update_response
def _update_permissions(self, url, data, admin=False):
key_param = "use_admin_key" if admin else "use_key"
update_url = self._api_url(url, **{key_param: True})
update_response = put(update_url, json=data)
return update_response
def _raw_update_batch(self, data):
update_url = self._api_url("histories/%s/contents" % (self.history_id),
use_key=True)
update_response = put(update_url, json=data)
return update_response
def test_delete(self):
hda1 = self.dataset_populator.new_dataset(self.history_id)
self.dataset_populator.wait_for_history(self.history_id)
assert str(self.__show(hda1).json()["deleted"]).lower() == "false"
delete_response = self._delete("histories/{}/contents/{}".format(
self.history_id, hda1["id"]))
assert delete_response.status_code < 300 # Something in the 200s :).
assert str(self.__show(hda1).json()["deleted"]).lower() == "true"
def test_purge(self):
hda1 = self.dataset_populator.new_dataset(self.history_id)
self.dataset_populator.wait_for_history(self.history_id)
assert str(self.__show(hda1).json()["deleted"]).lower() == "false"
assert str(self.__show(hda1).json()["purged"]).lower() == "false"
data = {'purge': True}
delete_response = self._delete("histories/{}/contents/{}".format(
self.history_id, hda1["id"]),
data=data)
assert delete_response.status_code < 300 # Something in the 200s :).
assert str(self.__show(hda1).json()["deleted"]).lower() == "true"
assert str(self.__show(hda1).json()["purged"]).lower() == "true"
def test_dataset_collection_creation_on_contents(self):
payload = self.dataset_collection_populator.create_pair_payload(
self.history_id, type="dataset_collection")
endpoint = "histories/%s/contents" % self.history_id
self._check_pair_creation(endpoint, payload)
def test_dataset_collection_creation_on_typed_contents(self):
payload = self.dataset_collection_populator.create_pair_payload(
self.history_id, )
endpoint = "histories/%s/contents/dataset_collections" % self.history_id
self._check_pair_creation(endpoint, payload)
def test_dataset_collection_create_from_exisiting_datasets_with_new_tags(
self):
with self.dataset_populator.test_history() as history_id:
hda_id = self.dataset_populator.new_dataset(history_id,
content="1 2 3")['id']
hda2_id = self.dataset_populator.new_dataset(history_id,
content="1 2 3")['id']
update_response = self._raw_update(hda2_id,
dict(tags=['existing:tag']),
history_id=history_id).json()
assert update_response['tags'] == ['existing:tag']
creation_payload = {
'collection_type':
'list',
'history_id':
history_id,
'element_identifiers':
json.dumps([{
'id': hda_id,
'src': 'hda',
'name': 'element_id1',
'tags': ['my_new_tag']
}, {
'id': hda2_id,
'src': 'hda',
'name': 'element_id2',
'tags': ['another_new_tag']
}]),
'type':
'dataset_collection',
'copy_elements':
True
}
r = self._post("histories/%s/contents" % self.history_id,
creation_payload).json()
assert r['elements'][0]['object'][
'id'] != hda_id, "HDA has not been copied"
assert len(r['elements'][0]['object']['tags']) == 1
assert r['elements'][0]['object']['tags'][0] == 'my_new_tag'
assert len(r['elements'][1]['object']
['tags']) == 2, r['elements'][1]['object']['tags']
original_hda = self.dataset_populator.get_history_dataset_details(
history_id=history_id, dataset_id=hda_id)
assert len(original_hda['tags']) == 0, original_hda['tags']
def _check_pair_creation(self, endpoint, payload):
pre_collection_count = self.__count_contents(type="dataset_collection")
pre_dataset_count = self.__count_contents(type="dataset")
pre_combined_count = self.__count_contents(
type="dataset,dataset_collection")
dataset_collection_response = self._post(endpoint, payload)
dataset_collection = self.__check_create_collection_response(
dataset_collection_response)
post_collection_count = self.__count_contents(
type="dataset_collection")
post_dataset_count = self.__count_contents(type="dataset")
post_combined_count = self.__count_contents(
type="dataset,dataset_collection")
# Test filtering types with index.
assert pre_collection_count == 0
assert post_collection_count == 1
assert post_combined_count == pre_dataset_count + 1
assert post_combined_count == pre_combined_count + 1
assert pre_dataset_count == post_dataset_count
# Test show dataset colleciton.
collection_url = "histories/{}/contents/dataset_collections/{}".format(
self.history_id, dataset_collection["id"])
show_response = self._get(collection_url)
self._assert_status_code_is(show_response, 200)
dataset_collection = show_response.json()
self._assert_has_keys(dataset_collection, "url", "name", "deleted")
assert not dataset_collection["deleted"]
delete_response = delete(self._api_url(collection_url, use_key=True))
self._assert_status_code_is(delete_response, 200)
show_response = self._get(collection_url)
dataset_collection = show_response.json()
assert dataset_collection["deleted"]
@skip_without_tool("collection_creates_list")
def test_jobs_summary_simple_hdca(self):
create_response = self.dataset_collection_populator.create_list_in_history(
self.history_id, contents=["a\nb\nc\nd", "e\nf\ng\nh"])
hdca_id = create_response.json()["id"]
run = self.dataset_populator.run_collection_creates_list(
self.history_id, hdca_id)
collections = run['output_collections']
collection = collections[0]
jobs_summary_url = "histories/{}/contents/dataset_collections/{}/jobs_summary".format(
self.history_id, collection["id"])
jobs_summary_response = self._get(jobs_summary_url)
self._assert_status_code_is(jobs_summary_response, 200)
jobs_summary = jobs_summary_response.json()
self._assert_has_keys(jobs_summary, "populated_state", "states")
@skip_without_tool("cat1")
def test_jobs_summary_implicit_hdca(self):
create_response = self.dataset_collection_populator.create_pair_in_history(
self.history_id, contents=["123", "456"])
hdca_id = create_response.json()["id"]
inputs = {
"input1": {
'batch': True,
'values': [{
'src': 'hdca',
'id': hdca_id
}]
},
}
run = self.dataset_populator.run_tool("cat1",
inputs=inputs,
history_id=self.history_id)
self.dataset_populator.wait_for_history_jobs(self.history_id)
collections = run['implicit_collections']
collection = collections[0]
jobs_summary_url = "histories/{}/contents/dataset_collections/{}/jobs_summary".format(
self.history_id, collection["id"])
jobs_summary_response = self._get(jobs_summary_url)
self._assert_status_code_is(jobs_summary_response, 200)
jobs_summary = jobs_summary_response.json()
self._assert_has_keys(jobs_summary, "populated_state", "states")
states = jobs_summary["states"]
assert states.get("ok") == 2, states
def test_dataset_collection_hide_originals(self):
payload = self.dataset_collection_populator.create_pair_payload(
self.history_id, type="dataset_collection")
payload["hide_source_items"] = True
dataset_collection_response = self._post(
"histories/%s/contents" % self.history_id, payload)
self.__check_create_collection_response(dataset_collection_response)
contents_response = self._get("histories/%s/contents" %
self.history_id)
datasets = [
d for d in contents_response.json()
if d["history_content_type"] == "dataset" and d["hid"] in [1, 2]
]
# Assert two datasets in source were hidden.
assert len(datasets) == 2
assert not datasets[0]["visible"]
assert not datasets[1]["visible"]
def test_update_dataset_collection(self):
payload = self.dataset_collection_populator.create_pair_payload(
self.history_id, type="dataset_collection")
dataset_collection_response = self._post(
"histories/%s/contents" % self.history_id, payload)
self._assert_status_code_is(dataset_collection_response, 200)
hdca = dataset_collection_response.json()
update_url = self._api_url(
"histories/{}/contents/dataset_collections/{}".format(
self.history_id, hdca["id"]),
use_key=True)
# Awkward json.dumps required here because of https://trello.com/c/CQwmCeG6
body = json.dumps(dict(name="newnameforpair"))
update_response = put(update_url, data=body)
self._assert_status_code_is(update_response, 200)
show_response = self.__show(hdca)
assert str(show_response.json()["name"]) == "newnameforpair"
def test_hdca_copy(self):
hdca = self.dataset_collection_populator.create_pair_in_history(
self.history_id).json()
hdca_id = hdca["id"]
second_history_id = self.dataset_populator.new_history()
create_data = dict(
source='hdca',
content=hdca_id,
)
assert len(
self._get("histories/%s/contents/dataset_collections" %
second_history_id).json()) == 0
create_response = self._post(
"histories/%s/contents/dataset_collections" % second_history_id,
create_data)
self.__check_create_collection_response(create_response)
contents = self._get("histories/%s/contents/dataset_collections" %
second_history_id).json()
assert len(contents) == 1
new_forward, _ = self.__get_paired_response_elements(contents[0])
self._assert_has_keys(new_forward, "history_id")
assert new_forward["history_id"] == self.history_id
def test_hdca_copy_with_new_dbkey(self):
hdca = self.dataset_collection_populator.create_pair_in_history(
self.history_id).json()
hdca_id = hdca["id"]
assert hdca["elements"][0]["object"]["metadata_dbkey"] == "?"
assert hdca["elements"][0]["object"]["genome_build"] == "?"
create_data = {'source': 'hdca', 'content': hdca_id, 'dbkey': 'hg19'}
create_response = self._post(
f"histories/{self.history_id}/contents/dataset_collections",
create_data)
collection = self.__check_create_collection_response(create_response)
new_forward = collection['elements'][0]['object']
assert new_forward["metadata_dbkey"] == "hg19"
assert new_forward["genome_build"] == "hg19"
def test_hdca_copy_and_elements(self):
hdca = self.dataset_collection_populator.create_pair_in_history(
self.history_id).json()
hdca_id = hdca["id"]
second_history_id = self.dataset_populator.new_history()
create_data = dict(
source='hdca',
content=hdca_id,
copy_elements=True,
)
assert len(
self._get("histories/%s/contents/dataset_collections" %
second_history_id).json()) == 0
create_response = self._post(
"histories/%s/contents/dataset_collections" % second_history_id,
create_data)
self.__check_create_collection_response(create_response)
contents = self._get("histories/%s/contents/dataset_collections" %
second_history_id).json()
assert len(contents) == 1
new_forward, _ = self.__get_paired_response_elements(contents[0])
self._assert_has_keys(new_forward, "history_id")
assert new_forward["history_id"] == second_history_id
def __get_paired_response_elements(self, contents):
hdca = self.__show(contents).json()
self._assert_has_keys(hdca, "name", "deleted", "visible", "elements")
elements = hdca["elements"]
assert len(elements) == 2
element0 = elements[0]
element1 = elements[1]
self._assert_has_keys(element0, "object")
self._assert_has_keys(element1, "object")
return element0["object"], element1["object"]
def test_hdca_from_library_datasets(self):
ld = self.library_populator.new_library_dataset("el1")
ldda_id = ld["ldda_id"]
element_identifiers = [{"name": "el1", "src": "ldda", "id": ldda_id}]
history_id = self.dataset_populator.new_history()
create_data = dict(
history_id=history_id,
type="dataset_collection",
name="Test From Library",
element_identifiers=json.dumps(element_identifiers),
collection_type="list",
)
create_response = self._post(
"histories/%s/contents/dataset_collections" % history_id,
create_data)
hdca = self.__check_create_collection_response(create_response)
elements = hdca["elements"]
assert len(elements) == 1
hda = elements[0]["object"]
assert hda["hda_ldda"] == "hda"
assert hda["history_content_type"] == "dataset"
assert hda["copied_from_ldda_id"] == ldda_id
assert hda['history_id'] == history_id
def test_hdca_from_inaccessible_library_datasets(self):
library, library_dataset = self.library_populator.new_library_dataset_in_private_library(
"HDCACreateInaccesibleLibrary")
ldda_id = library_dataset["id"]
element_identifiers = [{"name": "el1", "src": "ldda", "id": ldda_id}]
create_data = dict(
history_id=self.history_id,
type="dataset_collection",
name="Test From Library",
element_identifiers=json.dumps(element_identifiers),
collection_type="list",
)
with self._different_user():
second_history_id = self.dataset_populator.new_history()
create_response = self._post(
"histories/%s/contents/dataset_collections" %
second_history_id, create_data)
self._assert_status_code_is(create_response, 403)
def __check_create_collection_response(self, response):
self._assert_status_code_is(response, 200)
dataset_collection = response.json()
self._assert_has_keys(dataset_collection, "url", "name", "deleted",
"visible", "elements")
return dataset_collection
def __show(self, contents):
show_response = self._get("histories/{}/contents/{}s/{}".format(
self.history_id, contents["history_content_type"], contents["id"]))
return show_response
def __count_contents(self, history_id=None, **kwds):
if history_id is None:
history_id = self.history_id
contents_response = self._get("histories/%s/contents" % history_id,
kwds)
return len(contents_response.json())
def __assert_hda_has_full_details(self, hda_details):
self._assert_has_keys(hda_details, "display_types", "display_apps")
def __check_for_hda(self, contents_response, hda):
self._assert_status_code_is(contents_response, 200)
contents = contents_response.json()
assert len(contents) == 1
hda_summary = contents[0]
self.__assert_matches_hda(hda, hda_summary)
return hda_summary
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_job_state_summary_field(self):
create_response = self.dataset_collection_populator.create_pair_in_history(
self.history_id, contents=["123", "456"])
self._assert_status_code_is(create_response, 200)
contents_response = self._get(
"histories/%s/contents?v=dev&keys=job_state_summary&view=summary" %
self.history_id)
self._assert_status_code_is(contents_response, 200)
contents = contents_response.json()
for c in filter(
lambda c: c['history_content_type'] == 'dataset_collection',
contents):
assert isinstance(c, dict)
assert 'job_state_summary' in c
assert isinstance(c['job_state_summary'], dict)
def _get_content(self, history_id, update_time):
return self._get(
f"/api/histories/{history_id}/contents/near/100/100?update_time-ge={update_time}"
).json()
def test_history_contents_near_with_update_time(self):
with self.dataset_populator.test_history() as history_id:
first_time = datetime.utcnow().isoformat()
assert len(self._get_content(history_id,
update_time=first_time)) == 0
self.dataset_collection_populator.create_list_in_history(
history_id=history_id)
assert len(self._get_content(
history_id, update_time=first_time)) == 4 # 3 datasets
self.dataset_populator.wait_for_history(history_id)
all_datasets_finished = first_time = datetime.utcnow().isoformat()
assert len(
self._get_content(history_id,
update_time=all_datasets_finished)) == 0
@skip_without_tool('cat_data_and_sleep')
def test_history_contents_near_with_update_time_implicit_collection(self):
with self.dataset_populator.test_history() as history_id:
hdca_id = self.dataset_collection_populator.create_list_in_history(
history_id=history_id).json()['id']
self.dataset_populator.wait_for_history(history_id)
inputs = {
"input1": {
'batch': True,
'values': [{
"src": "hdca",
"id": hdca_id
}]
},
"sleep_time": 2,
}
response = self.dataset_populator.run_tool(
"cat_data_and_sleep",
inputs,
history_id,
assert_ok=False,
).json()
update_time = datetime.utcnow().isoformat()
collection_id = response['implicit_collections'][0]['id']
for _ in range(20):
time.sleep(1)
update = self._get_content(history_id, update_time=update_time)
if any(c for c in update
if c['history_content_type'] == 'dataset_collection'
and c['job_state_summary']['ok'] == 3):
return
raise Exception(
f"History content update time query did not include final update for implicit collection {collection_id}"
)
@skip_without_tool('collection_creates_dynamic_nested')
def test_history_contents_near_with_update_time_explicit_collection(self):
with self.dataset_populator.test_history() as history_id:
inputs = {'foo': 'bar', 'sleep_time': 2}
response = self.dataset_populator.run_tool(
"collection_creates_dynamic_nested",
inputs,
history_id,
assert_ok=False,
).json()
update_time = datetime.utcnow().isoformat()
collection_id = response['output_collections'][0]['id']
for _ in range(20):
time.sleep(1)
update = self._get_content(history_id, update_time=update_time)
if any(c for c in update
if c['history_content_type'] == 'dataset_collection'
and c['populated_state'] == 'ok'):
return
raise Exception(
f"History content update time query did not include populated_state update for dynamic nested collection {collection_id}"
)
class DatasetCollectionApiTestCase(ApiTestCase):
history_id: str
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_create_pair_from_history(self):
payload = self.dataset_collection_populator.create_pair_payload(
self.history_id,
instance_type="history",
)
create_response = self._post("dataset_collections", payload, json=True)
dataset_collection = self._check_create_response(create_response)
returned_datasets = dataset_collection["elements"]
assert len(returned_datasets) == 2, dataset_collection
def test_create_list_from_history(self):
element_identifiers = self.dataset_collection_populator.list_identifiers(
self.history_id)
payload = dict(
instance_type="history",
history_id=self.history_id,
element_identifiers=element_identifiers,
collection_type="list",
)
create_response = self._post("dataset_collections", payload, json=True)
dataset_collection = self._check_create_response(create_response)
returned_datasets = dataset_collection["elements"]
assert len(returned_datasets) == 3, dataset_collection
def test_create_list_of_existing_pairs(self):
pair_payload = self.dataset_collection_populator.create_pair_payload(
self.history_id,
instance_type="history",
)
pair_create_response = self._post("dataset_collections",
pair_payload,
json=True)
dataset_collection = self._check_create_response(pair_create_response)
hdca_id = dataset_collection["id"]
element_identifiers = [dict(name="test1", src="hdca", id=hdca_id)]
payload = dict(
instance_type="history",
history_id=self.history_id,
element_identifiers=element_identifiers,
collection_type="list",
)
create_response = self._post("dataset_collections", payload, json=True)
dataset_collection = self._check_create_response(create_response)
returned_collections = dataset_collection["elements"]
assert len(returned_collections) == 1, dataset_collection
def test_create_list_of_new_pairs(self):
identifiers = self.dataset_collection_populator.nested_collection_identifiers(
self.history_id, "list:paired")
payload = dict(
collection_type="list:paired",
instance_type="history",
history_id=self.history_id,
name="a nested collection",
element_identifiers=identifiers,
)
create_response = self._post("dataset_collections", payload, json=True)
dataset_collection = self._check_create_response(create_response)
assert dataset_collection["collection_type"] == "list:paired"
assert dataset_collection["name"] == "a nested collection"
returned_collections = dataset_collection["elements"]
assert len(returned_collections) == 1, dataset_collection
pair_1_element = returned_collections[0]
self._assert_has_keys(pair_1_element, "element_identifier",
"element_index", "object")
assert pair_1_element[
"element_identifier"] == "test_level_1", pair_1_element
assert pair_1_element["element_index"] == 0, pair_1_element
pair_1_object = pair_1_element["object"]
self._assert_has_keys(pair_1_object, "collection_type", "elements",
"element_count")
self.assertEqual(pair_1_object["collection_type"], "paired")
self.assertEqual(pair_1_object["populated"], True)
pair_elements = pair_1_object["elements"]
assert len(pair_elements) == 2
pair_1_element_1 = pair_elements[0]
assert pair_1_element_1["element_index"] == 0
def test_list_download(self):
fetch_response = self.dataset_collection_populator.create_list_in_history(
self.history_id, direct_upload=True).json()
dataset_collection = self.dataset_collection_populator.wait_for_fetched_collection(
fetch_response)
returned_dce = dataset_collection["elements"]
assert len(returned_dce) == 3, dataset_collection
create_response = self._download_dataset_collection(
history_id=self.history_id, hdca_id=dataset_collection['id'])
self._assert_status_code_is(create_response, 200)
archive = zipfile.ZipFile(BytesIO(create_response.content))
namelist = archive.namelist()
assert len(namelist) == 3, f"Expected 3 elements in [{namelist}]"
collection_name = dataset_collection['name']
for element, zip_path in zip(returned_dce, namelist):
assert f"{collection_name}/{element['element_identifier']}.{element['object']['file_ext']}" == zip_path
def test_pair_download(self):
fetch_response = self.dataset_collection_populator.create_pair_in_history(
self.history_id, direct_upload=True).json()
dataset_collection = self.dataset_collection_populator.wait_for_fetched_collection(
fetch_response)
returned_dce = dataset_collection["elements"]
assert len(returned_dce) == 2, dataset_collection
hdca_id = dataset_collection['id']
create_response = self._download_dataset_collection(
history_id=self.history_id, hdca_id=hdca_id)
self._assert_status_code_is(create_response, 200)
archive = zipfile.ZipFile(BytesIO(create_response.content))
namelist = archive.namelist()
assert len(namelist) == 2, f"Expected 2 elements in [{namelist}]"
collection_name = dataset_collection['name']
for element, zip_path in zip(returned_dce, namelist):
assert f"{collection_name}/{element['element_identifier']}.{element['object']['file_ext']}" == zip_path
def test_list_pair_download(self):
fetch_response = self.dataset_collection_populator.create_list_of_pairs_in_history(
self.history_id).json()
dataset_collection = self.dataset_collection_populator.wait_for_fetched_collection(
fetch_response)
returned_dce = dataset_collection["elements"]
assert len(returned_dce) == 1, dataset_collection
list_collection_name = dataset_collection['name']
pair = returned_dce[0]
create_response = self._download_dataset_collection(
history_id=self.history_id, hdca_id=dataset_collection['id'])
self._assert_status_code_is(create_response, 200)
archive = zipfile.ZipFile(BytesIO(create_response.content))
namelist = archive.namelist()
assert len(namelist) == 2, f"Expected 2 elements in [{namelist}]"
pair_collection_name = pair['element_identifier']
for element, zip_path in zip(pair['object']['elements'], namelist):
assert f"{list_collection_name}/{pair_collection_name}/{element['element_identifier']}.{element['object']['file_ext']}" == zip_path
def test_list_list_download(self):
dataset_collection = self.dataset_collection_populator.create_list_of_list_in_history(
self.history_id).json()
self.dataset_collection_populator.wait_for_dataset_collection(
dataset_collection, assert_ok=True)
returned_dce = dataset_collection["elements"]
assert len(returned_dce) == 1, dataset_collection
create_response = self._download_dataset_collection(
history_id=self.history_id, hdca_id=dataset_collection['id'])
self._assert_status_code_is(create_response, 200)
archive = zipfile.ZipFile(BytesIO(create_response.content))
namelist = archive.namelist()
assert len(namelist) == 3, f"Expected 3 elements in [{namelist}]"
def test_list_list_list_download(self):
dataset_collection = self.dataset_collection_populator.create_list_of_list_in_history(
self.history_id, collection_type='list:list:list').json()
self.dataset_collection_populator.wait_for_dataset_collection(
dataset_collection, assert_ok=True)
returned_dce = dataset_collection["elements"]
assert len(returned_dce) == 1, dataset_collection
create_response = self._download_dataset_collection(
history_id=self.history_id, hdca_id=dataset_collection['id'])
self._assert_status_code_is(create_response, 200)
archive = zipfile.ZipFile(BytesIO(create_response.content))
namelist = archive.namelist()
assert len(namelist) == 3, f"Expected 3 elements in [{namelist}]"
def test_hda_security(self):
element_identifiers = self.dataset_collection_populator.pair_identifiers(
self.history_id)
self.dataset_populator.make_private(self.history_id,
element_identifiers[0]["id"])
with self._different_user():
history_id = self.dataset_populator.new_history()
payload = dict(
instance_type="history",
history_id=history_id,
element_identifiers=element_identifiers,
collection_type="paired",
)
create_response = self._post("dataset_collections",
payload,
json=True)
self._assert_status_code_is(create_response, 403)
def test_enforces_unique_names(self):
element_identifiers = self.dataset_collection_populator.list_identifiers(
self.history_id)
element_identifiers[2]["name"] = element_identifiers[0]["name"]
payload = dict(
instance_type="history",
history_id=self.history_id,
element_identifiers=element_identifiers,
collection_type="list",
)
create_response = self._post("dataset_collections", payload, json=True)
self._assert_status_code_is(create_response, 400)
def test_upload_collection(self):
elements = [{
"src":
"files",
"dbkey":
"hg19",
"info":
"my cool bed",
"tags":
["name:data1", "group:condition:treated", "machine:illumina"]
}]
targets = [{
"destination": {
"type": "hdca"
},
"elements": elements,
"collection_type": "list",
"name": "Test upload",
"tags": ["name:collection1"]
}]
payload = {
"history_id": self.history_id,
"targets": json.dumps(targets),
"__files": {
"files_0|file_data":
open(self.test_data_resolver.get_filename("4.bed"))
},
}
self.dataset_populator.fetch(payload)
hdca = self._assert_one_collection_created_in_history()
self.assertEqual(hdca["name"], "Test upload")
hdca_tags = hdca["tags"]
assert len(hdca_tags) == 1
assert "name:collection1" in hdca_tags
assert len(hdca["elements"]) == 1, hdca
element0 = hdca["elements"][0]
assert element0["element_identifier"] == "4.bed"
dataset0 = element0["object"]
assert dataset0["file_size"] == 61
dataset_tags = dataset0["tags"]
assert len(dataset_tags) == 3, dataset0
def test_upload_nested(self):
elements = [{
"name":
"samp1",
"elements": [{
"src": "files",
"dbkey": "hg19",
"info": "my cool bed"
}]
}]
targets = [{
"destination": {
"type": "hdca"
},
"elements": elements,
"collection_type": "list:list",
"name": "Test upload",
}]
payload = {
"history_id": self.history_id,
"targets": json.dumps(targets),
"__files": {
"files_0|file_data":
open(self.test_data_resolver.get_filename("4.bed"))
},
}
self.dataset_populator.fetch(payload)
hdca = self._assert_one_collection_created_in_history()
self.assertEqual(hdca["name"], "Test upload")
assert len(hdca["elements"]) == 1, hdca
element0 = hdca["elements"][0]
assert element0["element_identifier"] == "samp1"
@skip_if_github_down
def test_upload_collection_from_url(self):
elements = [{
"src": "url",
"url":
"https://raw.githubusercontent.com/galaxyproject/galaxy/dev/test-data/4.bed",
"info": "my cool bed"
}]
targets = [{
"destination": {
"type": "hdca"
},
"elements": elements,
"collection_type": "list",
}]
payload = {
"history_id": self.history_id,
"targets": json.dumps(targets),
"__files": {
"files_0|file_data":
open(self.test_data_resolver.get_filename("4.bed"))
},
}
self.dataset_populator.fetch(payload)
hdca = self._assert_one_collection_created_in_history()
assert len(hdca["elements"]) == 1, hdca
element0 = hdca["elements"][0]
assert element0["element_identifier"] == "4.bed"
assert element0["object"]["file_size"] == 61
@skip_if_github_down
def test_upload_collection_failed_expansion_url(self):
targets = [{
"destination": {
"type": "hdca"
},
"elements_from":
"bagit",
"collection_type":
"list",
"src":
"url",
"url":
"https://raw.githubusercontent.com/galaxyproject/galaxy/dev/test-data/4.bed",
}]
payload = {
"history_id": self.history_id,
"targets": json.dumps(targets),
"__files": {
"files_0|file_data":
open(self.test_data_resolver.get_filename("4.bed"))
},
}
self.dataset_populator.fetch(payload, assert_ok=False, wait=True)
hdca = self._assert_one_collection_created_in_history()
assert hdca["populated"] is False
assert "bagit.txt" in hdca["populated_state_message"], hdca
def _assert_one_collection_created_in_history(self):
contents_response = self._get(
f"histories/{self.history_id}/contents/dataset_collections")
self._assert_status_code_is(contents_response, 200)
contents = contents_response.json()
assert len(contents) == 1
hdca = contents[0]
assert hdca["history_content_type"] == "dataset_collection"
hdca_id = hdca["id"]
collection_response = self._get(
f"histories/{self.history_id}/contents/dataset_collections/{hdca_id}"
)
self._assert_status_code_is(collection_response, 200)
return collection_response.json()
def _check_create_response(self, create_response):
self._assert_status_code_is(create_response, 200)
dataset_collection = create_response.json()
self._assert_has_keys(dataset_collection, "elements", "url", "name",
"collection_type", "element_count")
return dataset_collection
def _download_dataset_collection(self, history_id, hdca_id):
return self._get(
f"histories/{history_id}/contents/dataset_collections/{hdca_id}/download"
)
def test_collection_contents_security(self):
# request contents on an hdca that doesn't belong to user
hdca, contents_url = self._create_collection_contents_pair()
with self._different_user():
contents_response = self._get(contents_url)
self._assert_status_code_is(contents_response, 403)
def test_collection_contents_invalid_collection(self):
# request an invalid collection from a valid hdca, should get 404
hdca, contents_url = self._create_collection_contents_pair()
response = self._get(contents_url)
self._assert_status_code_is(response, 200)
fake_collection_id = '5d7db0757a2eb7ef'
fake_contents_url = f"/api/dataset_collections/{hdca['id']}/contents/{fake_collection_id}"
error_response = self._get(fake_contents_url)
assert_object_id_error(error_response)
def test_show_dataset_collection(self):
fetch_response = self.dataset_collection_populator.create_list_in_history(
self.history_id, direct_upload=True).json()
dataset_collection = self.dataset_collection_populator.wait_for_fetched_collection(
fetch_response)
returned_dce = dataset_collection["elements"]
assert len(returned_dce) == 3, dataset_collection
hdca_id = dataset_collection['id']
dataset_collection_url = f"/api/dataset_collections/{hdca_id}"
dataset_collection = self._get(dataset_collection_url).json()
assert dataset_collection['id'] == hdca_id
assert dataset_collection['collection_type'] == 'list'
def test_show_dataset_collection_contents(self):
# Get contents_url from history contents, use it to show the first level
# of collection contents in the created HDCA, then use it again to drill
# down into the nested collection contents
hdca = self.dataset_collection_populator.create_list_of_list_in_history(
self.history_id).json()
root_contents_url = self._get_contents_url_for_hdca(hdca)
# check root contents for this collection
root_contents = self._get(root_contents_url).json()
assert len(root_contents) == len(hdca['elements'])
self._compare_collection_contents_elements(root_contents,
hdca['elements'])
# drill down, retrieve nested collection contents
assert 'object' in root_contents[0]
assert 'contents_url' in root_contents[0]['object']
drill_contents_url = root_contents[0]['object']['contents_url']
drill_contents = self._get(drill_contents_url).json()
assert len(drill_contents) == len(
hdca['elements'][0]['object']['elements'])
self._compare_collection_contents_elements(
drill_contents, hdca['elements'][0]['object']['elements'])
def test_collection_contents_limit_offset(self):
# check limit/offset params for collection contents endpoint
hdca, root_contents_url = self._create_collection_contents_pair()
# check limit
limited_contents = self._get(f"{root_contents_url}?limit=1").json()
assert len(limited_contents) == 1
assert limited_contents[0]['element_index'] == 0
# check offset
offset_contents = self._get(f"{root_contents_url}?offset=1").json()
assert len(offset_contents) == 1
assert offset_contents[0]['element_index'] == 1
def test_get_suitable_converters_single_datatype(self):
response = self.dataset_collection_populator.upload_collection(
self.history_id,
"list:paired",
elements=[{
"name":
"test0",
"elements": [
{
"src": "pasted",
"paste_content": "123\n",
"name": "forward",
"ext": "bed"
},
{
"src": "pasted",
"paste_content": "456\n",
"name": "reverse",
"ext": "bed"
},
]
}, {
"name":
"test1",
"elements": [
{
"src": "pasted",
"paste_content": "789\n",
"name": "forward",
"ext": "bed"
},
{
"src": "pasted",
"paste_content": "0ab\n",
"name": "reverse",
"ext": "bed"
},
]
}])
self._assert_status_code_is(response, 200)
hdca_list_id = response.json()["outputs"][0]["id"]
converters = self._get("dataset_collections/" + hdca_list_id +
"/suitable_converters")
expected = [ # This list is subject to change, but it's unlikely we'll be removing converters
'CONVERTER_bed_to_fli_0', 'CONVERTER_bed_gff_or_vcf_to_bigwig_0',
'CONVERTER_bed_to_gff_0', 'CONVERTER_interval_to_bgzip_0',
'tabular_to_csv', 'CONVERTER_interval_to_bed6_0',
'CONVERTER_interval_to_bedstrict_0',
'CONVERTER_interval_to_tabix_0', 'CONVERTER_interval_to_bed12_0'
]
actual = []
for converter in converters.json():
actual.append(converter["tool_id"])
missing_expected_converters = set(expected) - set(actual)
assert not missing_expected_converters, f"Expected converter(s) {', '.join(missing_expected_converters)} missing from response"
def test_get_suitable_converters_different_datatypes_matches(self):
response = self.dataset_collection_populator.upload_collection(
self.history_id,
"list:paired",
elements=[{
"name":
"test0",
"elements": [
{
"src": "pasted",
"paste_content": "123\n",
"name": "forward",
"ext": "bed"
},
{
"src": "pasted",
"paste_content": "456\n",
"name": "reverse",
"ext": "bed"
},
]
}, {
"name":
"test1",
"elements": [
{
"src": "pasted",
"paste_content": "789\n",
"name": "forward",
"ext": "tabular"
},
{
"src": "pasted",
"paste_content": "0ab\n",
"name": "reverse",
"ext": "tabular"
},
]
}])
self._assert_status_code_is(response, 200)
hdca_list_id = response.json()["outputs"][0]["id"]
converters = self._get("dataset_collections/" + hdca_list_id +
"/suitable_converters")
expected = 'tabular_to_csv'
actual = []
for converter in converters.json():
actual.append(converter["tool_id"])
assert expected in actual
def test_get_suitable_converters_different_datatypes_no_matches(self):
response = self.dataset_collection_populator.upload_collection(
self.history_id,
"list:paired",
elements=[{
"name":
"test0",
"elements": [
{
"src": "pasted",
"paste_content": "123\n",
"name": "forward",
"ext": "bed"
},
{
"src": "pasted",
"paste_content": "456\n",
"name": "reverse",
"ext": "bed"
},
]
}, {
"name":
"test1",
"elements": [
{
"src": "pasted",
"paste_content": "789\n",
"name": "forward",
"ext": "fasta"
},
{
"src": "pasted",
"paste_content": "0ab\n",
"name": "reverse",
"ext": "fasta"
},
]
}])
self._assert_status_code_is(response, 200)
hdca_list_id = response.json()["outputs"][0]["id"]
converters = self._get("dataset_collections/" + hdca_list_id +
"/suitable_converters")
actual: List[str] = []
for converter in converters.json():
actual.append(converter["tool_id"])
assert actual == []
def test_collection_tools_tag_propagation(self):
elements = [{"src": "files", "tags": ["name:element_tag"]}]
targets = [{
"destination": {
"type": "hdca"
},
"elements": elements,
"collection_type": "list",
"name": "Test collection",
"tags": ["name:collection_tag"]
}]
payload = {
"history_id": self.history_id,
"targets": json.dumps(targets),
"__files": {
"files_0|file_data":
open(self.test_data_resolver.get_filename("4.bed"))
},
}
hdca_id = self.dataset_populator.fetch(
payload).json()['output_collections'][0]['id']
inputs = {
"input": {
"batch": False,
"src": "hdca",
"id": hdca_id
},
}
payload = self.dataset_populator.run_tool_payload(
tool_id='__FILTER_FAILED_DATASETS__',
inputs=inputs,
history_id=self.history_id,
input_format='legacy',
)
response = self._post("tools", payload).json()
self.dataset_populator.wait_for_history(self.history_id,
assert_ok=False)
output_collection = response["output_collections"][0]
# collection should not inherit tags from input collection elements, only parent collection
assert output_collection['tags'] == ["name:collection_tag"]
element = output_collection['elements'][0]
# new element hda should have tags copied from old hda
assert element['object']['tags'] == ['name:element_tag']
def _compare_collection_contents_elements(self, contents_elements,
hdca_elements):
# compare collection api results to existing hdca element contents
fields = [
'element_identifier', 'element_index', 'element_type', 'id',
'model_class'
]
for (content_element, hdca_element) in zip(contents_elements,
hdca_elements):
for f in fields:
assert content_element[f] == hdca_element[f]
def _create_collection_contents_pair(self):
# Create a simple collection, return hdca and contents_url
payload = self.dataset_collection_populator.create_pair_payload(
self.history_id, instance_type="history")
create_response = self._post("dataset_collections", payload, json=True)
hdca = self._check_create_response(create_response)
root_contents_url = self._get_contents_url_for_hdca(hdca)
return hdca, root_contents_url
def _get_contents_url_for_hdca(self, hdca):
# look up the history contents using optional serialization key
history_contents_url = f"histories/{self.history_id}/contents?v=dev&view=summary&keys=contents_url"
json = self._get(history_contents_url).json()
# filter out the collection we just made id = hdca.id
# make sure the contents_url appears
def find_hdca(c):
return c['history_content_type'] == 'dataset_collection' and c[
'id'] == hdca['id']
matches = list(filter(find_hdca, json))
assert len(matches) == 1
assert 'contents_url' in matches[0]
return matches[0]['contents_url']
class DatasetCollectionApiTestCase(ApiTestCase):
def setUp(self):
super(DatasetCollectionApiTestCase, self).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_create_pair_from_history(self):
payload = self.dataset_collection_populator.create_pair_payload(
self.history_id,
instance_type="history",
)
create_response = self._post("dataset_collections", payload)
dataset_collection = self._check_create_response(create_response)
returned_datasets = dataset_collection["elements"]
assert len(returned_datasets) == 2, dataset_collection
def test_create_list_from_history(self):
element_identifiers = self.dataset_collection_populator.list_identifiers(
self.history_id)
payload = dict(
instance_type="history",
history_id=self.history_id,
element_identifiers=json.dumps(element_identifiers),
collection_type="list",
)
create_response = self._post("dataset_collections", payload)
dataset_collection = self._check_create_response(create_response)
returned_datasets = dataset_collection["elements"]
assert len(returned_datasets) == 3, dataset_collection
def test_create_list_of_existing_pairs(self):
pair_payload = self.dataset_collection_populator.create_pair_payload(
self.history_id,
instance_type="history",
)
pair_create_response = self._post("dataset_collections", pair_payload)
dataset_collection = self._check_create_response(pair_create_response)
hdca_id = dataset_collection["id"]
element_identifiers = [dict(name="test1", src="hdca", id=hdca_id)]
payload = dict(
instance_type="history",
history_id=self.history_id,
element_identifiers=json.dumps(element_identifiers),
collection_type="list",
)
create_response = self._post("dataset_collections", payload)
dataset_collection = self._check_create_response(create_response)
returned_collections = dataset_collection["elements"]
assert len(returned_collections) == 1, dataset_collection
def test_create_list_of_new_pairs(self):
identifiers = self.dataset_collection_populator.nested_collection_identifiers(
self.history_id, "list:paired")
payload = dict(
collection_type="list:paired",
instance_type="history",
history_id=self.history_id,
name="a nested collection",
element_identifiers=json.dumps(identifiers),
)
create_response = self._post("dataset_collections", payload)
dataset_collection = self._check_create_response(create_response)
assert dataset_collection["collection_type"] == "list:paired"
assert dataset_collection["name"] == "a nested collection"
returned_collections = dataset_collection["elements"]
assert len(returned_collections) == 1, dataset_collection
pair_1_element = returned_collections[0]
self._assert_has_keys(pair_1_element, "element_identifier",
"element_index", "object")
assert pair_1_element[
"element_identifier"] == "test_level_1", pair_1_element
assert pair_1_element["element_index"] == 0, pair_1_element
pair_1_object = pair_1_element["object"]
self._assert_has_keys(pair_1_object, "collection_type", "elements",
"element_count")
self.assertEqual(pair_1_object["collection_type"], "paired")
self.assertEqual(pair_1_object["populated"], True)
pair_elements = pair_1_object["elements"]
assert len(pair_elements) == 2
pair_1_element_1 = pair_elements[0]
assert pair_1_element_1["element_index"] == 0
def test_list_download(self):
fetch_response = self.dataset_collection_populator.create_list_in_history(
self.history_id, direct_upload=True).json()
dataset_collection = self.dataset_collection_populator.wait_for_fetched_collection(
fetch_response)
returned_dce = dataset_collection["elements"]
assert len(returned_dce) == 3, dataset_collection
create_response = self._download_dataset_collection(
history_id=self.history_id, hdca_id=dataset_collection['id'])
self._assert_status_code_is(create_response, 200)
tar_contents = tarfile.open(fileobj=BytesIO(create_response.content))
namelist = tar_contents.getnames()
assert len(namelist) == 3, "Expected 3 elements in [%s]" % namelist
collection_name = dataset_collection['name']
for element, zip_path in zip(returned_dce, namelist):
assert "%s/%s.%s" % (collection_name,
element['element_identifier'],
element['object']['file_ext']) == zip_path
def test_pair_download(self):
fetch_response = self.dataset_collection_populator.create_pair_in_history(
self.history_id, direct_upload=True).json()
dataset_collection = self.dataset_collection_populator.wait_for_fetched_collection(
fetch_response)
returned_dce = dataset_collection["elements"]
assert len(returned_dce) == 2, dataset_collection
hdca_id = dataset_collection['id']
create_response = self._download_dataset_collection(
history_id=self.history_id, hdca_id=hdca_id)
self._assert_status_code_is(create_response, 200)
tar_contents = tarfile.open(fileobj=BytesIO(create_response.content))
namelist = tar_contents.getnames()
assert len(namelist) == 2, "Expected 2 elements in [%s]" % namelist
collection_name = dataset_collection['name']
for element, zip_path in zip(returned_dce, namelist):
assert "%s/%s.%s" % (collection_name,
element['element_identifier'],
element['object']['file_ext']) == zip_path
def test_list_pair_download(self):
fetch_response = self.dataset_collection_populator.create_list_of_pairs_in_history(
self.history_id).json()
dataset_collection = self.dataset_collection_populator.wait_for_fetched_collection(
fetch_response)
returned_dce = dataset_collection["elements"]
assert len(returned_dce) == 1, dataset_collection
list_collection_name = dataset_collection['name']
pair = returned_dce[0]
create_response = self._download_dataset_collection(
history_id=self.history_id, hdca_id=dataset_collection['id'])
self._assert_status_code_is(create_response, 200)
tar_contents = tarfile.open(fileobj=BytesIO(create_response.content))
namelist = tar_contents.getnames()
assert len(namelist) == 2, "Expected 2 elements in [%s]" % namelist
pair_collection_name = pair['element_identifier']
for element, zip_path in zip(pair['object']['elements'], namelist):
assert "%s/%s/%s.%s" % (list_collection_name, pair_collection_name,
element['element_identifier'],
element['object']['file_ext']) == zip_path
def test_list_list_download(self):
dataset_collection = self.dataset_collection_populator.create_list_of_list_in_history(
self.history_id).json()
self.dataset_collection_populator.wait_for_dataset_collection(
dataset_collection, assert_ok=True)
returned_dce = dataset_collection["elements"]
assert len(returned_dce) == 1, dataset_collection
create_response = self._download_dataset_collection(
history_id=self.history_id, hdca_id=dataset_collection['id'])
self._assert_status_code_is(create_response, 200)
tar_contents = tarfile.open(fileobj=BytesIO(create_response.content))
namelist = tar_contents.getnames()
assert len(namelist) == 3, "Expected 3 elements in [%s]" % namelist
def test_list_list_list_download(self):
dataset_collection = self.dataset_collection_populator.create_list_of_list_in_history(
self.history_id, collection_type='list:list:list').json()
self.dataset_collection_populator.wait_for_dataset_collection(
dataset_collection, assert_ok=True)
returned_dce = dataset_collection["elements"]
assert len(returned_dce) == 1, dataset_collection
create_response = self._download_dataset_collection(
history_id=self.history_id, hdca_id=dataset_collection['id'])
self._assert_status_code_is(create_response, 200)
tar_contents = tarfile.open(fileobj=BytesIO(create_response.content))
namelist = tar_contents.getnames()
assert len(namelist) == 3, "Expected 3 elements in [%s]" % namelist
def test_hda_security(self):
element_identifiers = self.dataset_collection_populator.pair_identifiers(
self.history_id)
self.dataset_populator.make_private(self.history_id,
element_identifiers[0]["id"])
with self._different_user():
history_id = self.dataset_populator.new_history()
payload = dict(
instance_type="history",
history_id=history_id,
element_identifiers=json.dumps(element_identifiers),
collection_type="paired",
)
create_response = self._post("dataset_collections", payload)
self._assert_status_code_is(create_response, 403)
def test_enforces_unique_names(self):
element_identifiers = self.dataset_collection_populator.list_identifiers(
self.history_id)
element_identifiers[2]["name"] = element_identifiers[0]["name"]
payload = dict(
instance_type="history",
history_id=self.history_id,
element_identifiers=json.dumps(element_identifiers),
collection_type="list",
)
create_response = self._post("dataset_collections", payload)
self._assert_status_code_is(create_response, 400)
def test_upload_collection(self):
elements = [{
"src":
"files",
"dbkey":
"hg19",
"info":
"my cool bed",
"tags":
["name:data1", "group:condition:treated", "machine:illumina"]
}]
targets = [{
"destination": {
"type": "hdca"
},
"elements": elements,
"collection_type": "list",
"name": "Test upload",
"tags": ["name:collection1"]
}]
payload = {
"history_id": self.history_id,
"targets": json.dumps(targets),
"__files": {
"files_0|file_data":
open(self.test_data_resolver.get_filename("4.bed"))
},
}
self.dataset_populator.fetch(payload)
hdca = self._assert_one_collection_created_in_history()
self.assertEqual(hdca["name"], "Test upload")
hdca_tags = hdca["tags"]
assert len(hdca_tags) == 1
assert "name:collection1" in hdca_tags
assert len(hdca["elements"]) == 1, hdca
element0 = hdca["elements"][0]
assert element0["element_identifier"] == "4.bed"
dataset0 = element0["object"]
assert dataset0["file_size"] == 61
dataset_tags = dataset0["tags"]
assert len(dataset_tags) == 3, dataset0
def test_upload_nested(self):
elements = [{
"name":
"samp1",
"elements": [{
"src": "files",
"dbkey": "hg19",
"info": "my cool bed"
}]
}]
targets = [{
"destination": {
"type": "hdca"
},
"elements": elements,
"collection_type": "list:list",
"name": "Test upload",
}]
payload = {
"history_id": self.history_id,
"targets": json.dumps(targets),
"__files": {
"files_0|file_data":
open(self.test_data_resolver.get_filename("4.bed"))
},
}
self.dataset_populator.fetch(payload)
hdca = self._assert_one_collection_created_in_history()
self.assertEqual(hdca["name"], "Test upload")
assert len(hdca["elements"]) == 1, hdca
element0 = hdca["elements"][0]
assert element0["element_identifier"] == "samp1"
@skip_if_github_down
def test_upload_collection_from_url(self):
elements = [{
"src": "url",
"url":
"https://raw.githubusercontent.com/galaxyproject/galaxy/dev/test-data/4.bed",
"info": "my cool bed"
}]
targets = [{
"destination": {
"type": "hdca"
},
"elements": elements,
"collection_type": "list",
}]
payload = {
"history_id": self.history_id,
"targets": json.dumps(targets),
"__files": {
"files_0|file_data":
open(self.test_data_resolver.get_filename("4.bed"))
},
}
self.dataset_populator.fetch(payload)
hdca = self._assert_one_collection_created_in_history()
assert len(hdca["elements"]) == 1, hdca
element0 = hdca["elements"][0]
assert element0["element_identifier"] == "4.bed"
assert element0["object"]["file_size"] == 61
def _assert_one_collection_created_in_history(self):
contents_response = self._get(
"histories/%s/contents/dataset_collections" % self.history_id)
self._assert_status_code_is(contents_response, 200)
contents = contents_response.json()
assert len(contents) == 1
hdca = contents[0]
assert hdca["history_content_type"] == "dataset_collection"
hdca_id = hdca["id"]
collection_response = self._get(
"histories/%s/contents/dataset_collections/%s" %
(self.history_id, hdca_id))
self._assert_status_code_is(collection_response, 200)
return collection_response.json()
def _check_create_response(self, create_response):
self._assert_status_code_is(create_response, 200)
dataset_collection = create_response.json()
self._assert_has_keys(dataset_collection, "elements", "url", "name",
"collection_type", "element_count")
return dataset_collection
def _download_dataset_collection(self, history_id, hdca_id):
return self._get(
"histories/%s/contents/dataset_collections/%s/download" %
(history_id, hdca_id))
def setUp(self):
super(LibrariesApiTestCase, self).setUp()
self.dataset_populator = DatasetPopulator(self.galaxy_interactor)
self.dataset_collection_populator = DatasetCollectionPopulator(
self.galaxy_interactor)
self.library_populator = LibraryPopulator(self.galaxy_interactor)
class HistoryContentsApiNearTestCase(ApiTestCase):
"""
Test the /api/histories/{history_id}/contents/{direction}/{hid}/{limit} endpoint.
"""
NEAR = DirectionOptions.near
BEFORE = DirectionOptions.before
AFTER = DirectionOptions.after
def setUp(self):
super().setUp()
self.dataset_populator = DatasetPopulator(self.galaxy_interactor)
self.dataset_collection_populator = DatasetCollectionPopulator(
self.galaxy_interactor)
def _create_list_in_history(self, history_id, n=2):
# Creates list of size n*4 (n collections with 3 items each)
for _ in range(n):
self.dataset_collection_populator.create_list_in_history(
history_id=history_id)
def _get_content(self, history_id, direction, *, hid, limit=1000):
return self._get(
f"/api/histories/{history_id}/contents/{direction}/{hid}/{limit}"
).json()
def test_returned_hid_sequence_in_base_case(self):
with self.dataset_populator.test_history() as history_id:
self._create_list_in_history(history_id)
result = self._get_content(history_id, self.NEAR, hid=1)
assert len(result) == 8
assert result[0]['hid'] == 8
assert result[1]['hid'] == 7
assert result[2]['hid'] == 6
assert result[3]['hid'] == 5
assert result[4]['hid'] == 4
assert result[5]['hid'] == 3
assert result[6]['hid'] == 2
assert result[7]['hid'] == 1
def test_near_even_limit(self):
with self.dataset_populator.test_history() as history_id:
self._create_list_in_history(history_id)
result = self._get_content(history_id, self.NEAR, hid=5, limit=3)
assert len(result) == 3
assert result[0]['hid'] == 6 # hid + 1
assert result[1]['hid'] == 5 # hid
assert result[2]['hid'] == 4 # hid - 1
def test_near_odd_limit(self):
with self.dataset_populator.test_history() as history_id:
self._create_list_in_history(history_id)
result = self._get_content(history_id, self.NEAR, hid=5, limit=4)
assert len(result) == 4
assert result[0]['hid'] == 7 # hid + 2
assert result[1]['hid'] == 6 # hid + 1
assert result[2]['hid'] == 5 # hid
assert result[3]['hid'] == 4 # hid - 1
def test_near_less_than_before_limit(self): # n before < limit // 2
with self.dataset_populator.test_history() as history_id:
self._create_list_in_history(history_id)
result = self._get_content(history_id, self.NEAR, hid=1, limit=3)
assert len(result) == 2
assert result[0]['hid'] == 2 # hid + 1
assert result[1]['hid'] == 1 # hid (there's nothing before hid=1)
def test_near_less_than_after_limit(self): # n after < limit // 2 + 1
with self.dataset_populator.test_history() as history_id:
self._create_list_in_history(history_id)
result = self._get_content(history_id, self.NEAR, hid=8, limit=3)
assert len(result) == 2
assert result[0]['hid'] == 8 # hid (there's nothing after hid=8)
assert result[1]['hid'] == 7 # hid - 1
def test_near_less_than_before_and_after_limit(self):
with self.dataset_populator.test_history() as history_id:
self._create_list_in_history(history_id, n=1)
result = self._get_content(history_id, self.NEAR, hid=2, limit=10)
assert len(result) == 4
assert result[0]['hid'] == 4 # hid + 2 (can't go after hid=4)
assert result[1]['hid'] == 3 # hid + 1
assert result[2]['hid'] == 2 # hid
assert result[3]['hid'] == 1 # hid - 1 (can't go before hid=1)
def test_before(self):
with self.dataset_populator.test_history() as history_id:
self._create_list_in_history(history_id)
result = self._get_content(history_id, self.BEFORE, hid=5, limit=3)
assert len(result) == 3
assert result[0]['hid'] == 4 # hid - 1
assert result[1]['hid'] == 3 # hid - 2
assert result[2]['hid'] == 2 # hid - 3
def test_before_less_than_limit(self):
with self.dataset_populator.test_history() as history_id:
self._create_list_in_history(history_id)
result = self._get_content(history_id, self.BEFORE, hid=2, limit=3)
assert len(result) == 1
assert result[0]['hid'] == 1 # hid - 1
def test_after(self):
with self.dataset_populator.test_history() as history_id:
self._create_list_in_history(history_id)
result = self._get_content(history_id, self.AFTER, hid=5, limit=2)
assert len(result) == 2
assert result[0][
'hid'] == 7 # hid + 2 (hid + 3 not included: tests reversed order)
assert result[1]['hid'] == 6 # hid + 1
def test_after_less_than_limit(self):
with self.dataset_populator.test_history() as history_id:
self._create_list_in_history(history_id)
result = self._get_content(history_id, self.AFTER, hid=7, limit=3)
assert len(result) == 1
assert result[0]['hid'] == 8 # hid + 1
class DatasetCollectionApiTestCase(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_create_pair_from_history(self):
payload = self.dataset_collection_populator.create_pair_payload(
self.history_id,
instance_type="history",
)
create_response = self._post("dataset_collections", payload)
dataset_collection = self._check_create_response(create_response)
returned_datasets = dataset_collection["elements"]
assert len(returned_datasets) == 2, dataset_collection
def test_create_list_from_history(self):
element_identifiers = self.dataset_collection_populator.list_identifiers(self.history_id)
payload = dict(
instance_type="history",
history_id=self.history_id,
element_identifiers=json.dumps(element_identifiers),
collection_type="list",
)
create_response = self._post("dataset_collections", payload)
dataset_collection = self._check_create_response(create_response)
returned_datasets = dataset_collection["elements"]
assert len(returned_datasets) == 3, dataset_collection
def test_create_list_of_existing_pairs(self):
pair_payload = self.dataset_collection_populator.create_pair_payload(
self.history_id,
instance_type="history",
)
pair_create_response = self._post("dataset_collections", pair_payload)
dataset_collection = self._check_create_response(pair_create_response)
hdca_id = dataset_collection["id"]
element_identifiers = [
dict(name="test1", src="hdca", id=hdca_id)
]
payload = dict(
instance_type="history",
history_id=self.history_id,
element_identifiers=json.dumps(element_identifiers),
collection_type="list",
)
create_response = self._post("dataset_collections", payload)
dataset_collection = self._check_create_response(create_response)
returned_collections = dataset_collection["elements"]
assert len(returned_collections) == 1, dataset_collection
def test_create_list_of_new_pairs(self):
identifiers = self.dataset_collection_populator.nested_collection_identifiers(self.history_id, "list:paired")
payload = dict(
collection_type="list:paired",
instance_type="history",
history_id=self.history_id,
name="a nested collection",
element_identifiers=json.dumps(identifiers),
)
create_response = self._post("dataset_collections", payload)
dataset_collection = self._check_create_response(create_response)
assert dataset_collection["collection_type"] == "list:paired"
assert dataset_collection["name"] == "a nested collection"
returned_collections = dataset_collection["elements"]
assert len(returned_collections) == 1, dataset_collection
pair_1_element = returned_collections[0]
self._assert_has_keys(pair_1_element, "element_identifier", "element_index", "object")
assert pair_1_element["element_identifier"] == "test_level_1", pair_1_element
assert pair_1_element["element_index"] == 0, pair_1_element
pair_1_object = pair_1_element["object"]
self._assert_has_keys(pair_1_object, "collection_type", "elements", "element_count")
self.assertEqual(pair_1_object["collection_type"], "paired")
self.assertEqual(pair_1_object["populated"], True)
pair_elements = pair_1_object["elements"]
assert len(pair_elements) == 2
pair_1_element_1 = pair_elements[0]
assert pair_1_element_1["element_index"] == 0
def test_list_download(self):
fetch_response = self.dataset_collection_populator.create_list_in_history(self.history_id, direct_upload=True).json()
dataset_collection = self.dataset_collection_populator.wait_for_fetched_collection(fetch_response)
returned_dce = dataset_collection["elements"]
assert len(returned_dce) == 3, dataset_collection
create_response = self._download_dataset_collection(history_id=self.history_id, hdca_id=dataset_collection['id'])
self._assert_status_code_is(create_response, 200)
archive = zipfile.ZipFile(BytesIO(create_response.content))
namelist = archive.namelist()
assert len(namelist) == 3, "Expected 3 elements in [%s]" % namelist
collection_name = dataset_collection['name']
for element, zip_path in zip(returned_dce, namelist):
assert f"{collection_name}/{element['element_identifier']}.{element['object']['file_ext']}" == zip_path
def test_pair_download(self):
fetch_response = self.dataset_collection_populator.create_pair_in_history(self.history_id, direct_upload=True).json()
dataset_collection = self.dataset_collection_populator.wait_for_fetched_collection(fetch_response)
returned_dce = dataset_collection["elements"]
assert len(returned_dce) == 2, dataset_collection
hdca_id = dataset_collection['id']
create_response = self._download_dataset_collection(history_id=self.history_id, hdca_id=hdca_id)
self._assert_status_code_is(create_response, 200)
archive = zipfile.ZipFile(BytesIO(create_response.content))
namelist = archive.namelist()
assert len(namelist) == 2, "Expected 2 elements in [%s]" % namelist
collection_name = dataset_collection['name']
for element, zip_path in zip(returned_dce, namelist):
assert "{}/{}.{}".format(collection_name, element['element_identifier'], element['object']['file_ext']) == zip_path
def test_list_pair_download(self):
fetch_response = self.dataset_collection_populator.create_list_of_pairs_in_history(self.history_id).json()
dataset_collection = self.dataset_collection_populator.wait_for_fetched_collection(fetch_response)
returned_dce = dataset_collection["elements"]
assert len(returned_dce) == 1, dataset_collection
list_collection_name = dataset_collection['name']
pair = returned_dce[0]
create_response = self._download_dataset_collection(history_id=self.history_id, hdca_id=dataset_collection['id'])
self._assert_status_code_is(create_response, 200)
archive = zipfile.ZipFile(BytesIO(create_response.content))
namelist = archive.namelist()
assert len(namelist) == 2, "Expected 2 elements in [%s]" % namelist
pair_collection_name = pair['element_identifier']
for element, zip_path in zip(pair['object']['elements'], namelist):
assert "{}/{}/{}.{}".format(list_collection_name, pair_collection_name, element['element_identifier'], element['object']['file_ext']) == zip_path
def test_list_list_download(self):
dataset_collection = self.dataset_collection_populator.create_list_of_list_in_history(self.history_id).json()
self.dataset_collection_populator.wait_for_dataset_collection(dataset_collection, assert_ok=True)
returned_dce = dataset_collection["elements"]
assert len(returned_dce) == 1, dataset_collection
create_response = self._download_dataset_collection(history_id=self.history_id, hdca_id=dataset_collection['id'])
self._assert_status_code_is(create_response, 200)
archive = zipfile.ZipFile(BytesIO(create_response.content))
namelist = archive.namelist()
assert len(namelist) == 3, "Expected 3 elements in [%s]" % namelist
def test_list_list_list_download(self):
dataset_collection = self.dataset_collection_populator.create_list_of_list_in_history(self.history_id, collection_type='list:list:list').json()
self.dataset_collection_populator.wait_for_dataset_collection(dataset_collection, assert_ok=True)
returned_dce = dataset_collection["elements"]
assert len(returned_dce) == 1, dataset_collection
create_response = self._download_dataset_collection(history_id=self.history_id, hdca_id=dataset_collection['id'])
self._assert_status_code_is(create_response, 200)
archive = zipfile.ZipFile(BytesIO(create_response.content))
namelist = archive.namelist()
assert len(namelist) == 3, "Expected 3 elements in [%s]" % namelist
def test_hda_security(self):
element_identifiers = self.dataset_collection_populator.pair_identifiers(self.history_id)
self.dataset_populator.make_private(self.history_id, element_identifiers[0]["id"])
with self._different_user():
history_id = self.dataset_populator.new_history()
payload = dict(
instance_type="history",
history_id=history_id,
element_identifiers=json.dumps(element_identifiers),
collection_type="paired",
)
create_response = self._post("dataset_collections", payload)
self._assert_status_code_is(create_response, 403)
def test_enforces_unique_names(self):
element_identifiers = self.dataset_collection_populator.list_identifiers(self.history_id)
element_identifiers[2]["name"] = element_identifiers[0]["name"]
payload = dict(
instance_type="history",
history_id=self.history_id,
element_identifiers=json.dumps(element_identifiers),
collection_type="list",
)
create_response = self._post("dataset_collections", payload)
self._assert_status_code_is(create_response, 400)
def test_upload_collection(self):
elements = [{"src": "files", "dbkey": "hg19", "info": "my cool bed", "tags": ["name:data1", "group:condition:treated", "machine:illumina"]}]
targets = [{
"destination": {"type": "hdca"},
"elements": elements,
"collection_type": "list",
"name": "Test upload",
"tags": ["name:collection1"]
}]
payload = {
"history_id": self.history_id,
"targets": json.dumps(targets),
"__files": {"files_0|file_data": open(self.test_data_resolver.get_filename("4.bed"))},
}
self.dataset_populator.fetch(payload)
hdca = self._assert_one_collection_created_in_history()
self.assertEqual(hdca["name"], "Test upload")
hdca_tags = hdca["tags"]
assert len(hdca_tags) == 1
assert "name:collection1" in hdca_tags
assert len(hdca["elements"]) == 1, hdca
element0 = hdca["elements"][0]
assert element0["element_identifier"] == "4.bed"
dataset0 = element0["object"]
assert dataset0["file_size"] == 61
dataset_tags = dataset0["tags"]
assert len(dataset_tags) == 3, dataset0
def test_upload_nested(self):
elements = [{"name": "samp1", "elements": [{"src": "files", "dbkey": "hg19", "info": "my cool bed"}]}]
targets = [{
"destination": {"type": "hdca"},
"elements": elements,
"collection_type": "list:list",
"name": "Test upload",
}]
payload = {
"history_id": self.history_id,
"targets": json.dumps(targets),
"__files": {"files_0|file_data": open(self.test_data_resolver.get_filename("4.bed"))},
}
self.dataset_populator.fetch(payload)
hdca = self._assert_one_collection_created_in_history()
self.assertEqual(hdca["name"], "Test upload")
assert len(hdca["elements"]) == 1, hdca
element0 = hdca["elements"][0]
assert element0["element_identifier"] == "samp1"
@skip_if_github_down
def test_upload_collection_from_url(self):
elements = [{"src": "url", "url": "https://raw.githubusercontent.com/galaxyproject/galaxy/dev/test-data/4.bed", "info": "my cool bed"}]
targets = [{
"destination": {"type": "hdca"},
"elements": elements,
"collection_type": "list",
}]
payload = {
"history_id": self.history_id,
"targets": json.dumps(targets),
"__files": {"files_0|file_data": open(self.test_data_resolver.get_filename("4.bed"))},
}
self.dataset_populator.fetch(payload)
hdca = self._assert_one_collection_created_in_history()
assert len(hdca["elements"]) == 1, hdca
element0 = hdca["elements"][0]
assert element0["element_identifier"] == "4.bed"
assert element0["object"]["file_size"] == 61
@skip_if_github_down
def test_upload_collection_failed_expansion_url(self):
targets = [{
"destination": {"type": "hdca"},
"elements_from": "bagit",
"collection_type": "list",
"src": "url",
"url": "https://raw.githubusercontent.com/galaxyproject/galaxy/dev/test-data/4.bed",
}]
payload = {
"history_id": self.history_id,
"targets": json.dumps(targets),
"__files": {"files_0|file_data": open(self.test_data_resolver.get_filename("4.bed"))},
}
self.dataset_populator.fetch(payload, assert_ok=False, wait=True)
hdca = self._assert_one_collection_created_in_history()
assert hdca["populated"] is False
assert "bagit.txt" in hdca["populated_state_message"], hdca
def _assert_one_collection_created_in_history(self):
contents_response = self._get("histories/%s/contents/dataset_collections" % self.history_id)
self._assert_status_code_is(contents_response, 200)
contents = contents_response.json()
assert len(contents) == 1
hdca = contents[0]
assert hdca["history_content_type"] == "dataset_collection"
hdca_id = hdca["id"]
collection_response = self._get(f"histories/{self.history_id}/contents/dataset_collections/{hdca_id}")
self._assert_status_code_is(collection_response, 200)
return collection_response.json()
def _check_create_response(self, create_response):
self._assert_status_code_is(create_response, 200)
dataset_collection = create_response.json()
self._assert_has_keys(dataset_collection, "elements", "url", "name", "collection_type", "element_count")
return dataset_collection
def _download_dataset_collection(self, history_id, hdca_id):
return self._get(f"histories/{history_id}/contents/dataset_collections/{hdca_id}/download")
def test_collection_contents_security(self):
# request contents on an hdca that doesn't belong to user
hdca, contents_url = self._create_collection_contents_pair()
with self._different_user():
contents_response = self._get(contents_url)
self._assert_status_code_is(contents_response, 403)
def test_collection_contents_invalid_collection(self):
# request an invalid collection from a valid hdca, should get 404
hdca, contents_url = self._create_collection_contents_pair()
response = self._get(contents_url)
self._assert_status_code_is(response, 200)
fake_collection_id = '5d7db0757a2eb7ef'
fake_contents_url = '/api/dataset_collections/{}/contents/{}'.format(hdca['id'], fake_collection_id)
error_response = self._get(fake_contents_url)
assert_object_id_error(error_response)
def test_show_dataset_collection_contents(self):
# Get contents_url from history contents, use it to show the first level
# of collection contents in the created HDCA, then use it again to drill
# down into the nested collection contents
hdca = self.dataset_collection_populator.create_list_of_list_in_history(self.history_id).json()
root_contents_url = self._get_contents_url_for_hdca(hdca)
# check root contents for this collection
root_contents = self._get(root_contents_url).json()
assert len(root_contents) == len(hdca['elements'])
self._compare_collection_contents_elements(root_contents, hdca['elements'])
# drill down, retrieve nested collection contents
assert 'object' in root_contents[0]
assert 'contents_url' in root_contents[0]['object']
drill_contents_url = root_contents[0]['object']['contents_url']
drill_contents = self._get(drill_contents_url).json()
assert len(drill_contents) == len(hdca['elements'][0]['object']['elements'])
self._compare_collection_contents_elements(drill_contents, hdca['elements'][0]['object']['elements'])
def test_collection_contents_limit_offset(self):
# check limit/offset params for collection contents endpoint
hdca, root_contents_url = self._create_collection_contents_pair()
# check limit
limited_contents = self._get(root_contents_url + '?limit=1').json()
assert len(limited_contents) == 1
assert limited_contents[0]['element_index'] == 0
# check offset
offset_contents = self._get(root_contents_url + '?offset=1').json()
assert len(offset_contents) == 1
assert offset_contents[0]['element_index'] == 1
def _compare_collection_contents_elements(self, contents_elements, hdca_elements):
# compare collection api results to existing hdca element contents
fields = ['element_identifier', 'element_index', 'element_type', 'id', 'model_class']
for (content_element, hdca_element) in zip(contents_elements, hdca_elements):
for f in fields:
assert content_element[f] == hdca_element[f]
def _create_collection_contents_pair(self):
# Create a simple collection, return hdca and contents_url
payload = self.dataset_collection_populator.create_pair_payload(self.history_id, instance_type="history")
create_response = self._post("dataset_collections", payload)
hdca = self._check_create_response(create_response)
root_contents_url = self._get_contents_url_for_hdca(hdca)
return hdca, root_contents_url
def _get_contents_url_for_hdca(self, hdca):
# look up the history contents using optional serialization key
history_contents_url = "histories/%s/contents?v=dev&view=summary&keys=contents_url" % (self.history_id)
json = self._get(history_contents_url).json()
# filter out the collection we just made id = hdca.id
# make sure the contents_url appears
def find_hdca(c):
return c['history_content_type'] == 'dataset_collection' and c['id'] == hdca['id']
matches = list(filter(find_hdca, json))
assert len(matches) == 1
assert 'contents_url' in matches[0]
return matches[0]['contents_url']
class HistoryContentsApiTestCase(ApiTestCase):
def setUp(self):
super().setUp()
self.dataset_populator = DatasetPopulator(self.galaxy_interactor)
self.dataset_collection_populator = DatasetCollectionPopulator(
self.galaxy_interactor)
self.library_populator = LibraryPopulator(self.galaxy_interactor)
self.history_id = self.dataset_populator.new_history()
def test_index_hda_summary(self):
hda1 = self.dataset_populator.new_dataset(self.history_id)
contents_response = self._get(f"histories/{self.history_id}/contents")
hda_summary = self.__check_for_hda(contents_response, hda1)
assert "display_types" not in hda_summary # Quick summary, not full details
def test_make_private_and_public(self):
hda1 = self._wait_for_new_hda()
update_url = f"histories/{self.history_id}/contents/{hda1['id']}/permissions"
role_id = self.dataset_populator.user_private_role_id()
# Give manage permission to the user.
payload = {
"access": [],
"manage": [role_id],
}
update_response = self._update_permissions(update_url,
payload,
admin=True)
self._assert_status_code_is(update_response, 200)
self._assert_other_user_can_access(hda1["id"])
# Then we restrict access.
payload = {
"action": "make_private",
}
update_response = self._update_permissions(update_url, payload)
self._assert_status_code_is(update_response, 200)
self._assert_other_user_cannot_access(hda1["id"])
# Then we restrict access.
payload = {
"action": "remove_restrictions",
}
update_response = self._update_permissions(update_url, payload)
self._assert_status_code_is(update_response, 200)
self._assert_other_user_can_access(hda1["id"])
def test_set_permissions_add_admin_history_contents(self):
self._verify_dataset_permissions("history_contents")
def test_set_permissions_add_admin_datasets(self):
self._verify_dataset_permissions("dataset")
def _verify_dataset_permissions(self, api_endpoint):
hda1 = self._wait_for_new_hda()
hda_id = hda1["id"]
if api_endpoint == "history_contents":
update_url = f"histories/{self.history_id}/contents/{hda_id}/permissions"
else:
update_url = f"datasets/{hda_id}/permissions"
role_id = self.dataset_populator.user_private_role_id()
payload = {
"access": [role_id],
"manage": [role_id],
}
# Other users cannot modify permissions.
with self._different_user():
update_response = self._update_permissions(update_url, payload)
self._assert_status_code_is(update_response, 403)
# First the details render for another user.
self._assert_other_user_can_access(hda_id)
# Then we restrict access.
update_response = self._update_permissions(update_url,
payload,
admin=True)
self._assert_status_code_is(update_response, 200)
# Finally the details don't render.
self._assert_other_user_cannot_access(hda_id)
# But they do for the original user.
contents_response = self._get(
f"histories/{self.history_id}/contents/{hda_id}").json()
assert "name" in contents_response
update_response = self._update_permissions(update_url, payload)
self._assert_status_code_is(update_response, 200)
payload = {
"access": [role_id],
"manage": [role_id],
}
update_response = self._update_permissions(update_url, payload)
self._assert_status_code_is(update_response, 200)
self._assert_other_user_cannot_access(hda_id)
user_id = self.dataset_populator.user_id()
with self._different_user():
different_user_id = self.dataset_populator.user_id()
combined_user_role = self.dataset_populator.create_role(
[user_id, different_user_id],
description="role for testing permissions")
payload = {
"access": [combined_user_role["id"]],
"manage": [role_id],
}
update_response = self._update_permissions(update_url, payload)
self._assert_status_code_is(update_response, 200)
# Now other user can see dataset again with access permission.
self._assert_other_user_can_access(hda_id)
# access doesn't imply management though...
with self._different_user():
update_response = self._update_permissions(update_url, payload)
self._assert_status_code_is(update_response, 403)
def _assert_other_user_cannot_access(self, history_content_id):
with self._different_user():
contents_response = self.dataset_populator.get_history_dataset_details_raw(
history_id=self.history_id, dataset_id=history_content_id)
assert contents_response.status_code == 403
def _assert_other_user_can_access(self, history_content_id):
with self._different_user():
contents_response = self.dataset_populator.get_history_dataset_details_raw(
history_id=self.history_id, dataset_id=history_content_id)
contents_response.raise_for_status()
assert "name" in contents_response.json()
def test_index_hda_all_details(self):
hda1 = self.dataset_populator.new_dataset(self.history_id)
contents_response = self._get(
f"histories/{self.history_id}/contents?details=all")
hda_details = self.__check_for_hda(contents_response, hda1)
self.__assert_hda_has_full_details(hda_details)
def test_index_hda_detail_by_id(self):
hda1 = self.dataset_populator.new_dataset(self.history_id)
contents_response = self._get(
f"histories/{self.history_id}/contents?details={hda1['id']}")
hda_details = self.__check_for_hda(contents_response, hda1)
self.__assert_hda_has_full_details(hda_details)
def test_show_hda(self):
hda1 = self.dataset_populator.new_dataset(self.history_id)
show_response = self.__show(hda1)
self._assert_status_code_is(show_response, 200)
self.__assert_matches_hda(hda1, show_response.json())
def _create_copy(self):
hda1 = self.dataset_populator.new_dataset(self.history_id)
create_data = dict(
source='hda',
content=hda1["id"],
)
second_history_id = self.dataset_populator.new_history()
assert self.__count_contents(second_history_id) == 0
create_response = self._post(f"histories/{second_history_id}/contents",
create_data,
json=True)
self._assert_status_code_is(create_response, 200)
return create_response.json()
def test_hda_copy(self):
response = self._create_copy()
assert self.__count_contents(response['history_id']) == 1
def test_inheritance_chain(self):
response = self._create_copy()
inheritance_chain_response = self._get(
f"datasets/{response['id']}/inheritance_chain")
self._assert_status_code_is_ok(inheritance_chain_response)
inheritance_chain = inheritance_chain_response.json()
assert len(inheritance_chain) == 1
def test_library_copy(self):
ld = self.library_populator.new_library_dataset("lda_test_library")
create_data = dict(
source='library',
content=ld["id"],
)
assert self.__count_contents(self.history_id) == 0
create_response = self._post(f"histories/{self.history_id}/contents",
create_data,
json=True)
self._assert_status_code_is(create_response, 200)
assert self.__count_contents(self.history_id) == 1
def test_update(self):
hda1 = self._wait_for_new_hda()
assert str(hda1["deleted"]).lower() == "false"
update_response = self._update(hda1["id"], dict(deleted=True))
self._assert_status_code_is(update_response, 200)
show_response = self.__show(hda1)
assert str(show_response.json()["deleted"]).lower() == "true"
update_response = self._update(hda1["id"], dict(name="Updated Name"))
assert self.__show(hda1).json()["name"] == "Updated Name"
update_response = self._update(hda1["id"], dict(name="Updated Name"))
assert self.__show(hda1).json()["name"] == "Updated Name"
unicode_name = 'ржевский сапоги'
update_response = self._update(hda1["id"], dict(name=unicode_name))
updated_hda = self.__show(hda1).json()
assert updated_hda["name"] == unicode_name, updated_hda
quoted_name = '"Mooo"'
update_response = self._update(hda1["id"], dict(name=quoted_name))
updated_hda = self.__show(hda1).json()
assert updated_hda["name"] == quoted_name, quoted_name
data = {
"dataset_id": hda1["id"],
"name": "moocow",
"dbkey": "?",
"annotation": None,
"info": "my info is",
"operation": "attributes"
}
update_response = self._set_edit_update(data)
# No key or anything supplied, expect a permission problem.
# A bit questionable but I think this is a 400 instead of a 403 so that
# we don't distinguish between this is a valid ID you don't have access to
# and this is an invalid ID.
assert update_response.status_code == 400, update_response.content
def test_update_batch(self):
hda1 = self._wait_for_new_hda()
assert str(hda1["deleted"]).lower() == "false"
assert str(hda1["visible"]).lower() == "true"
# update deleted flag => true
payload = dict(items=[{
"history_content_type": "dataset",
"id": hda1["id"]
}],
deleted=True)
update_response = self._update_batch(payload)
objects = update_response.json()
assert objects[0]["deleted"] is True
assert objects[0]["visible"] is True
# update visibility flag => false
payload = dict(items=[{
"history_content_type": "dataset",
"id": hda1["id"]
}],
visible=False)
update_response = self._update_batch(payload)
objects = update_response.json()
assert objects[0]["deleted"] is True
assert objects[0]["visible"] is False
# update both flags
payload = dict(items=[{
"history_content_type": "dataset",
"id": hda1["id"]
}],
deleted=False,
visible=True)
update_response = self._update_batch(payload)
objects = update_response.json()
assert objects[0]["deleted"] is False
assert objects[0]["visible"] is True
def test_update_batch_collections(self):
hdca = self._create_pair_collection()
assert hdca["deleted"] is False
assert hdca["visible"] is True
# update deleted flag => true
payload = dict(items=[{
"history_content_type": "dataset_collection",
"id": hdca["id"]
}],
deleted=True)
update_response = self._update_batch(payload)
objects = update_response.json()
assert objects[0]["deleted"] is True
assert objects[0]["visible"] is True
# update visibility flag => false
payload = dict(items=[{
"history_content_type": "dataset_collection",
"id": hdca["id"]
}],
visible=False)
update_response = self._update_batch(payload)
objects = update_response.json()
assert objects[0]["deleted"] is True
assert objects[0]["visible"] is False
# update both flags
payload = dict(items=[{
"history_content_type": "dataset_collection",
"id": hdca["id"]
}],
deleted=False,
visible=True)
update_response = self._update_batch(payload)
objects = update_response.json()
assert objects[0]["deleted"] is False
assert objects[0]["visible"] is True
def test_update_type_failures(self):
hda1 = self._wait_for_new_hda()
update_response = self._update(hda1["id"], dict(deleted='not valid'))
self._assert_status_code_is(update_response, 400)
def _wait_for_new_hda(self):
hda1 = self.dataset_populator.new_dataset(self.history_id)
self.dataset_populator.wait_for_history(self.history_id)
return hda1
def _set_edit_update(self, data):
update_response = self._put(urllib.parse.urljoin(
self.url, "dataset/set_edit"),
data=data,
json=True)
return update_response
def _update(self, item_id, data, admin=False, history_id=None):
history_id = history_id or self.history_id
update_response = self._put(
f"histories/{history_id}/contents/{item_id}",
data=data,
json=True,
admin=admin)
return update_response
def _update_permissions(self, url, data, admin=False):
update_response = self._put(url, data=data, json=True, admin=admin)
return update_response
def _update_batch(self, data):
update_response = self._put(f"histories/{self.history_id}/contents",
data=data,
json=True)
return update_response
def test_delete(self):
hda1 = self.dataset_populator.new_dataset(self.history_id)
self.dataset_populator.wait_for_history(self.history_id)
assert str(self.__show(hda1).json()["deleted"]).lower() == "false"
delete_response = self._delete(
f"histories/{self.history_id}/contents/{hda1['id']}")
assert delete_response.status_code < 300 # Something in the 200s :).
assert str(self.__show(hda1).json()["deleted"]).lower() == "true"
def test_delete_anon(self):
with self._different_user(anon=True):
history_id = self._get(
urllib.parse.urljoin(
self.url, "history/current_history_json")).json()['id']
hda1 = self.dataset_populator.new_dataset(history_id)
self.dataset_populator.wait_for_history(history_id)
assert str(self.__show(hda1).json()["deleted"]).lower() == "false"
delete_response = self._delete(
f"histories/{history_id}/contents/{hda1['id']}")
assert delete_response.status_code < 300 # Something in the 200s :).
assert str(self.__show(hda1).json()["deleted"]).lower() == "true"
def test_delete_permission_denied(self):
hda1 = self.dataset_populator.new_dataset(self.history_id)
with self._different_user(anon=True):
delete_response = self._delete(
f"histories/{self.history_id}/contents/{hda1['id']}")
assert delete_response.status_code == 403
assert delete_response.json(
)['err_msg'] == 'HistoryDatasetAssociation is not owned by user'
def test_purge(self):
hda1 = self.dataset_populator.new_dataset(self.history_id)
self.dataset_populator.wait_for_history(self.history_id)
assert str(self.__show(hda1).json()["deleted"]).lower() == "false"
assert str(self.__show(hda1).json()["purged"]).lower() == "false"
data = {'purge': True}
delete_response = self._delete(
f"histories/{self.history_id}/contents/{hda1['id']}",
data=data,
json=True)
assert delete_response.status_code < 300 # Something in the 200s :).
assert str(self.__show(hda1).json()["deleted"]).lower() == "true"
assert str(self.__show(hda1).json()["purged"]).lower() == "true"
def test_dataset_collection_creation_on_contents(self):
payload = self.dataset_collection_populator.create_pair_payload(
self.history_id, type="dataset_collection")
endpoint = f"histories/{self.history_id}/contents"
self._check_pair_creation(endpoint, payload)
def test_dataset_collection_creation_on_typed_contents(self):
payload = self.dataset_collection_populator.create_pair_payload(
self.history_id, )
endpoint = f"histories/{self.history_id}/contents/dataset_collections"
self._check_pair_creation(endpoint, payload)
def test_dataset_collection_create_from_exisiting_datasets_with_new_tags(
self):
with self.dataset_populator.test_history() as history_id:
hda_id = self.dataset_populator.new_dataset(history_id,
content="1 2 3")['id']
hda2_id = self.dataset_populator.new_dataset(history_id,
content="1 2 3")['id']
update_response = self._update(hda2_id,
dict(tags=['existing:tag']),
history_id=history_id).json()
assert update_response['tags'] == ['existing:tag']
creation_payload = {
'collection_type':
'list',
'history_id':
history_id,
'element_identifiers': [{
'id': hda_id,
'src': 'hda',
'name': 'element_id1',
'tags': ['my_new_tag']
}, {
'id': hda2_id,
'src': 'hda',
'name': 'element_id2',
'tags': ['another_new_tag']
}],
'type':
'dataset_collection',
'copy_elements':
True
}
r = self._post(f"histories/{self.history_id}/contents",
creation_payload,
json=True).json()
assert r['elements'][0]['object'][
'id'] != hda_id, "HDA has not been copied"
assert len(r['elements'][0]['object']['tags']) == 1
assert r['elements'][0]['object']['tags'][0] == 'my_new_tag'
assert len(r['elements'][1]['object']
['tags']) == 2, r['elements'][1]['object']['tags']
original_hda = self.dataset_populator.get_history_dataset_details(
history_id=history_id, dataset_id=hda_id)
assert len(original_hda['tags']) == 0, original_hda['tags']
def _check_pair_creation(self, endpoint, payload):
pre_collection_count = self.__count_contents(type="dataset_collection")
pre_dataset_count = self.__count_contents(type="dataset")
pre_combined_count = self.__count_contents(
type="dataset,dataset_collection")
dataset_collection_response = self._post(endpoint, payload, json=True)
dataset_collection = self.__check_create_collection_response(
dataset_collection_response)
post_collection_count = self.__count_contents(
type="dataset_collection")
post_dataset_count = self.__count_contents(type="dataset")
post_combined_count = self.__count_contents(
type="dataset,dataset_collection")
# Test filtering types with index.
assert pre_collection_count == 0
assert post_collection_count == 1
assert post_combined_count == pre_dataset_count + 1
assert post_combined_count == pre_combined_count + 1
assert pre_dataset_count == post_dataset_count
# Test show dataset colleciton.
collection_url = f"histories/{self.history_id}/contents/dataset_collections/{dataset_collection['id']}"
show_response = self._get(collection_url)
self._assert_status_code_is(show_response, 200)
dataset_collection = show_response.json()
self._assert_has_keys(dataset_collection, "url", "name", "deleted")
assert not dataset_collection["deleted"]
delete_response = self._delete(collection_url)
self._assert_status_code_is(delete_response, 200)
show_response = self._get(collection_url)
dataset_collection = show_response.json()
assert dataset_collection["deleted"]
@skip_without_tool("collection_creates_list")
def test_jobs_summary_simple_hdca(self):
create_response = self.dataset_collection_populator.create_list_in_history(
self.history_id, contents=["a\nb\nc\nd", "e\nf\ng\nh"])
hdca_id = create_response.json()["id"]
run = self.dataset_populator.run_collection_creates_list(
self.history_id, hdca_id)
collections = run['output_collections']
collection = collections[0]
jobs_summary_url = f"histories/{self.history_id}/contents/dataset_collections/{collection['id']}/jobs_summary"
jobs_summary_response = self._get(jobs_summary_url)
self._assert_status_code_is(jobs_summary_response, 200)
jobs_summary = jobs_summary_response.json()
self._assert_has_keys(jobs_summary, "populated_state", "states")
@skip_without_tool("cat1")
def test_jobs_summary_implicit_hdca(self):
create_response = self.dataset_collection_populator.create_pair_in_history(
self.history_id, contents=["123", "456"])
hdca_id = create_response.json()["id"]
inputs = {
"input1": {
'batch': True,
'values': [{
'src': 'hdca',
'id': hdca_id
}]
},
}
run = self.dataset_populator.run_tool("cat1",
inputs=inputs,
history_id=self.history_id)
self.dataset_populator.wait_for_history_jobs(self.history_id)
collections = run['implicit_collections']
collection = collections[0]
jobs_summary_url = f"histories/{self.history_id}/contents/dataset_collections/{collection['id']}/jobs_summary"
jobs_summary_response = self._get(jobs_summary_url)
self._assert_status_code_is(jobs_summary_response, 200)
jobs_summary = jobs_summary_response.json()
self._assert_has_keys(jobs_summary, "populated_state", "states")
states = jobs_summary["states"]
assert states.get("ok") == 2, states
def test_dataset_collection_hide_originals(self):
payload = self.dataset_collection_populator.create_pair_payload(
self.history_id, type="dataset_collection")
payload["hide_source_items"] = True
dataset_collection_response = self._post(
f"histories/{self.history_id}/contents", payload, json=True)
self.__check_create_collection_response(dataset_collection_response)
contents_response = self._get(f"histories/{self.history_id}/contents")
datasets = [
d for d in contents_response.json()
if d["history_content_type"] == "dataset" and d["hid"] in [1, 2]
]
# Assert two datasets in source were hidden.
assert len(datasets) == 2
assert not datasets[0]["visible"]
assert not datasets[1]["visible"]
def test_update_dataset_collection(self):
hdca = self._create_pair_collection()
body = dict(name="newnameforpair")
update_response = self._put(
f"histories/{self.history_id}/contents/dataset_collections/{hdca['id']}",
data=body,
json=True)
self._assert_status_code_is(update_response, 200)
show_response = self.__show(hdca)
assert str(show_response.json()["name"]) == "newnameforpair"
def test_update_batch_dataset_collection(self):
hdca = self._create_pair_collection()
body = {
"items": [{
"history_content_type": "dataset_collection",
"id": hdca["id"]
}],
"name":
"newnameforpair"
}
update_response = self._put(f"histories/{self.history_id}/contents",
data=body,
json=True)
self._assert_status_code_is(update_response, 200)
show_response = self.__show(hdca)
assert str(show_response.json()["name"]) == "newnameforpair"
def _create_pair_collection(self):
payload = self.dataset_collection_populator.create_pair_payload(
self.history_id, type="dataset_collection")
dataset_collection_response = self._post(
f"histories/{self.history_id}/contents", payload, json=True)
self._assert_status_code_is(dataset_collection_response, 200)
hdca = dataset_collection_response.json()
return hdca
def test_hdca_copy(self):
hdca = self.dataset_collection_populator.create_pair_in_history(
self.history_id).json()
hdca_id = hdca["id"]
second_history_id = self.dataset_populator.new_history()
create_data = dict(
source='hdca',
content=hdca_id,
)
assert len(
self._get(
f"histories/{second_history_id}/contents/dataset_collections").
json()) == 0
create_response = self._post(
f"histories/{second_history_id}/contents/dataset_collections",
create_data,
json=True)
self.__check_create_collection_response(create_response)
contents = self._get(
f"histories/{second_history_id}/contents/dataset_collections"
).json()
assert len(contents) == 1
new_forward, _ = self.__get_paired_response_elements(contents[0])
self._assert_has_keys(new_forward, "history_id")
assert new_forward["history_id"] == self.history_id
def test_hdca_copy_with_new_dbkey(self):
hdca = self.dataset_collection_populator.create_pair_in_history(
self.history_id).json()
hdca_id = hdca["id"]
assert hdca["elements"][0]["object"]["metadata_dbkey"] == "?"
assert hdca["elements"][0]["object"]["genome_build"] == "?"
create_data = {'source': 'hdca', 'content': hdca_id, 'dbkey': 'hg19'}
create_response = self._post(
f"histories/{self.history_id}/contents/dataset_collections",
create_data,
json=True)
collection = self.__check_create_collection_response(create_response)
new_forward = collection['elements'][0]['object']
assert new_forward["metadata_dbkey"] == "hg19"
assert new_forward["genome_build"] == "hg19"
def test_hdca_copy_and_elements(self):
hdca = self.dataset_collection_populator.create_pair_in_history(
self.history_id).json()
hdca_id = hdca["id"]
second_history_id = self.dataset_populator.new_history()
create_data = dict(
source='hdca',
content=hdca_id,
copy_elements=True,
)
assert len(
self._get(
f"histories/{second_history_id}/contents/dataset_collections").
json()) == 0
create_response = self._post(
f"histories/{second_history_id}/contents/dataset_collections",
create_data,
json=True)
self.__check_create_collection_response(create_response)
contents = self._get(
f"histories/{second_history_id}/contents/dataset_collections"
).json()
assert len(contents) == 1
new_forward, _ = self.__get_paired_response_elements(contents[0])
self._assert_has_keys(new_forward, "history_id")
assert new_forward["history_id"] == second_history_id
def __get_paired_response_elements(self, contents):
hdca = self.__show(contents).json()
self._assert_has_keys(hdca, "name", "deleted", "visible", "elements")
elements = hdca["elements"]
assert len(elements) == 2
element0 = elements[0]
element1 = elements[1]
self._assert_has_keys(element0, "object")
self._assert_has_keys(element1, "object")
return element0["object"], element1["object"]
def test_hdca_from_library_datasets(self):
ld = self.library_populator.new_library_dataset("el1")
ldda_id = ld["ldda_id"]
element_identifiers = [{"name": "el1", "src": "ldda", "id": ldda_id}]
history_id = self.dataset_populator.new_history()
create_data = dict(
history_id=history_id,
type="dataset_collection",
name="Test From Library",
element_identifiers=element_identifiers,
collection_type="list",
)
create_response = self._post(
f"histories/{history_id}/contents/dataset_collections",
create_data,
json=True)
hdca = self.__check_create_collection_response(create_response)
elements = hdca["elements"]
assert len(elements) == 1
hda = elements[0]["object"]
assert hda["hda_ldda"] == "hda"
assert hda["history_content_type"] == "dataset"
assert hda["copied_from_ldda_id"] == ldda_id
assert hda['history_id'] == history_id
def test_hdca_from_inaccessible_library_datasets(self):
library, library_dataset = self.library_populator.new_library_dataset_in_private_library(
"HDCACreateInaccesibleLibrary")
ldda_id = library_dataset["id"]
element_identifiers = [{"name": "el1", "src": "ldda", "id": ldda_id}]
create_data = dict(
history_id=self.history_id,
type="dataset_collection",
name="Test From Library",
element_identifiers=element_identifiers,
collection_type="list",
)
with self._different_user():
second_history_id = self.dataset_populator.new_history()
create_response = self._post(
f"histories/{second_history_id}/contents/dataset_collections",
create_data,
json=True)
self._assert_status_code_is(create_response, 403)
def __check_create_collection_response(self, response):
self._assert_status_code_is(response, 200)
dataset_collection = response.json()
self._assert_has_keys(dataset_collection, "url", "name", "deleted",
"visible", "elements")
return dataset_collection
def __show(self, contents):
show_response = self._get(
f"histories/{self.history_id}/contents/{contents['history_content_type']}s/{contents['id']}"
)
return show_response
def __count_contents(self, history_id=None, **kwds):
if history_id is None:
history_id = self.history_id
contents_response = self._get(f"histories/{history_id}/contents", kwds)
return len(contents_response.json())
def __assert_hda_has_full_details(self, hda_details):
self._assert_has_keys(hda_details, "display_types", "display_apps")
def __check_for_hda(self, contents_response, hda):
self._assert_status_code_is(contents_response, 200)
contents = contents_response.json()
assert len(contents) == 1
hda_summary = contents[0]
self.__assert_matches_hda(hda, hda_summary)
return hda_summary
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_job_state_summary_field(self):
create_response = self.dataset_collection_populator.create_pair_in_history(
self.history_id, contents=["123", "456"])
self._assert_status_code_is(create_response, 200)
contents_response = self._get(
f"histories/{self.history_id}/contents?v=dev&keys=job_state_summary&view=summary"
)
self._assert_status_code_is(contents_response, 200)
contents = contents_response.json()
for c in filter(
lambda c: c['history_content_type'] == 'dataset_collection',
contents):
assert isinstance(c, dict)
assert 'job_state_summary' in c
assert isinstance(c['job_state_summary'], dict)
def _get_content(self, history_id, update_time):
return self._get(
f"/api/histories/{history_id}/contents/near/100/100?update_time-gt={update_time}"
).json()
def test_history_contents_near_with_update_time(self):
with self.dataset_populator.test_history() as history_id:
first_time = datetime.utcnow().isoformat()
assert len(self._get_content(history_id,
update_time=first_time)) == 0
self.dataset_collection_populator.create_list_in_history(
history_id=history_id)
assert len(self._get_content(
history_id, update_time=first_time)) == 4 # 3 datasets
self.dataset_populator.wait_for_history(history_id)
all_datasets_finished = first_time = datetime.utcnow().isoformat()
assert len(
self._get_content(history_id,
update_time=all_datasets_finished)) == 0
def test_history_contents_near_with_since(self):
with self.dataset_populator.test_history() as history_id:
original_history = self._get(f"/api/histories/{history_id}").json()
original_history_stamp = original_history['update_time']
# check empty contents, with no since flag, should return an empty 200 result
history_contents = self._get(
f"/api/histories/{history_id}/contents/near/100/100")
assert history_contents.status_code == 200
assert len(history_contents.json()) == 0
# adding a since parameter, should return a 204 if history has not changed at all
history_contents = self._get(
f"/api/histories/{history_id}/contents/near/100/100?since={original_history_stamp}"
)
assert history_contents.status_code == 204
# add some stuff
self.dataset_collection_populator.create_list_in_history(
history_id=history_id)
self.dataset_populator.wait_for_history(history_id)
# check to make sure the added stuff is there
changed_history_contents = self._get(
f"/api/histories/{history_id}/contents/near/100/100")
assert changed_history_contents.status_code == 200
assert len(changed_history_contents.json()) == 4
# check to make sure the history date has actually changed due to changing the contents
changed_history = self._get(f"/api/histories/{history_id}").json()
changed_history_stamp = changed_history['update_time']
assert original_history_stamp != changed_history_stamp
# a repeated contents request with since=original_history_stamp should now return data
# because we have added datasets and the update_time should have been changed
changed_content = self._get(
f"/api/histories/{history_id}/contents/near/100/100?since={original_history_stamp}"
)
assert changed_content.status_code == 200
assert len(changed_content.json()) == 4
def test_history_contents_near_since_with_standard_iso8601_date(self):
with self.dataset_populator.test_history() as history_id:
original_history = self._get(f"/api/histories/{history_id}").json()
original_history_stamp = original_history['update_time']
# this is the standard date format that javascript will emit using .toISOString(), it
# should be the expected date format for any modern api
# https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Global_Objects/Date/toISOString
# checking to make sure that the same exact history.update_time returns a "not changed"
# result after date parsing
valid_iso8601_date = original_history_stamp + 'Z'
encoded_valid_date = urllib.parse.quote_plus(valid_iso8601_date)
history_contents = self._get(
f"/api/histories/{history_id}/contents/near/100/100?since={encoded_valid_date}"
)
assert history_contents.status_code == 204
# test parsing for other standard is08601 formats
sample_formats = [
'2021-08-26T15:53:02+00:00', '2021-08-26T15:53:02Z',
'2002-10-10T12:00:00-05:00'
]
for date_str in sample_formats:
encoded_date = urllib.parse.quote_plus(
date_str) # handles pluses, minuses
history_contents = self._get(
f"/api/histories/{history_id}/contents/near/100/100?since={encoded_date}"
)
self._assert_status_code_is_ok(history_contents)
@skip_without_tool('cat_data_and_sleep')
def test_history_contents_near_with_update_time_implicit_collection(self):
with self.dataset_populator.test_history() as history_id:
hdca_id = self.dataset_collection_populator.create_list_in_history(
history_id=history_id).json()['id']
self.dataset_populator.wait_for_history(history_id)
inputs = {
"input1": {
'batch': True,
'values': [{
"src": "hdca",
"id": hdca_id
}]
},
"sleep_time": 2,
}
response = self.dataset_populator.run_tool(
"cat_data_and_sleep",
inputs,
history_id,
)
update_time = datetime.utcnow().isoformat()
collection_id = response['implicit_collections'][0]['id']
for _ in range(20):
time.sleep(1)
update = self._get_content(history_id, update_time=update_time)
if any(c for c in update
if c['history_content_type'] == 'dataset_collection'
and c['job_state_summary']['ok'] == 3):
return
raise Exception(
f"History content update time query did not include final update for implicit collection {collection_id}"
)
@skip_without_tool('collection_creates_dynamic_nested')
def test_history_contents_near_with_update_time_explicit_collection(self):
with self.dataset_populator.test_history() as history_id:
inputs = {'foo': 'bar', 'sleep_time': 2}
response = self.dataset_populator.run_tool(
"collection_creates_dynamic_nested",
inputs,
history_id,
)
update_time = datetime.utcnow().isoformat()
collection_id = response['output_collections'][0]['id']
for _ in range(20):
time.sleep(1)
update = self._get_content(history_id, update_time=update_time)
if any(c for c in update
if c['history_content_type'] == 'dataset_collection'
and c['populated_state'] == 'ok'):
return
raise Exception(
f"History content update time query did not include populated_state update for dynamic nested collection {collection_id}"
)
def test_index_filter_by_type(self):
history_id = self.dataset_populator.new_history()
self.dataset_populator.new_dataset(history_id)
self.dataset_collection_populator.create_list_in_history(
history_id=history_id)
contents_response = self._get(
f"histories/{history_id}/contents").json()
num_items = len(contents_response)
expected_num_collections = 1
expected_num_datasets = num_items - expected_num_collections
contents_response = self._get(
f"histories/{history_id}/contents?types=dataset").json()
assert len(contents_response) == expected_num_datasets
contents_response = self._get(
f"histories/{history_id}/contents?types=dataset_collection").json(
)
assert len(contents_response) == expected_num_collections
def test_elements_datatypes_field(self):
history_id = self.dataset_populator.new_history()
collection_name = "homogeneous"
expected_datatypes = ["txt"]
elements = [ # List with all elements of txt datatype (homogeneous)
{
"name": "test1",
"src": "pasted",
"paste_content": "abc",
"ext": "txt"
},
{
"name": "test2",
"src": "pasted",
"paste_content": "abc",
"ext": "txt"
},
]
self._upload_collection_list_with_elements(history_id, collection_name,
elements)
self._assert_collection_has_expected_elements_datatypes(
history_id, collection_name, expected_datatypes)
collection_name = "heterogeneous"
expected_datatypes = ["txt", "tabular"]
elements = [ # List with txt and tabular datatype (heterogeneous)
{
"name": "test2",
"src": "pasted",
"paste_content": "abc",
"ext": "txt"
},
{
"name": "test3",
"src": "pasted",
"paste_content": "a,b,c\n",
"ext": "tabular"
},
]
self._upload_collection_list_with_elements(history_id, collection_name,
elements)
self._assert_collection_has_expected_elements_datatypes(
history_id, collection_name, expected_datatypes)
def _upload_collection_list_with_elements(self, history_id: str,
collection_name: str,
elements: List[Any]):
create_homogeneous_response = self.dataset_collection_populator.upload_collection(
history_id, "list", elements=elements, name=collection_name)
self._assert_status_code_is_ok(create_homogeneous_response)
def _assert_collection_has_expected_elements_datatypes(
self, history_id, collection_name, expected_datatypes):
contents_response = self._get(
f"histories/{history_id}/contents?v=dev&view=betawebclient&q=name-eq&qv={collection_name}"
)
self._assert_status_code_is(contents_response, 200)
collection = contents_response.json()[0]
self.assertCountEqual(collection["elements_datatypes"],
expected_datatypes)
class MaximumWorkflowJobsPerSchedulingIterationTestCase(
integration_util.IntegrationTestCase):
framework_tool_and_types = True
def setUp(self):
super().setUp()
self.dataset_populator = DatasetPopulator(self.galaxy_interactor)
self.workflow_populator = WorkflowPopulator(self.galaxy_interactor)
self.dataset_collection_populator = DatasetCollectionPopulator(
self.galaxy_interactor)
@classmethod
def handle_galaxy_config_kwds(cls, config):
config["maximum_workflow_jobs_per_scheduling_iteration"] = 1
def test_collection_explicit_and_implicit(self):
workflow_id = self.workflow_populator.upload_yaml_workflow("""
class: GalaxyWorkflow
steps:
- type: input_collection
- tool_id: collection_creates_pair
state:
input1:
$link: 0
- tool_id: collection_paired_test
state:
f1:
$link: 1/paired_output
- tool_id: cat_list
state:
input1:
$link: 2/out1
""")
with self.dataset_populator.test_history() as history_id:
hdca1 = self.dataset_collection_populator.create_list_in_history(
history_id, contents=["a\nb\nc\nd\n", "e\nf\ng\nh\n"]).json()
self.dataset_populator.wait_for_history(history_id, assert_ok=True)
inputs = {
'0': {
"src": "hdca",
"id": hdca1["id"]
},
}
invocation_id = self.workflow_populator.invoke_workflow(
history_id, workflow_id, inputs)
self.workflow_populator.wait_for_workflow(history_id, workflow_id,
invocation_id)
self.dataset_populator.wait_for_history(history_id, assert_ok=True)
self.assertEqual(
"a\nc\nb\nd\ne\ng\nf\nh\n",
self.dataset_populator.get_history_dataset_content(history_id,
hid=0))
def test_scheduling_rounds(self):
with self.dataset_populator.test_history() as history_id:
invocation_response = self.workflow_populator.run_workflow(
"""
class: GalaxyWorkflow
inputs:
input1: data
text_input: text
steps:
first_cat:
tool_id: cat1
in:
input1: input1
second_cat:
tool_id: cat1
in:
input1: first_cat/out_file1
collection_creates_dynamic_list_of_pairs:
tool_id: collection_creates_dynamic_list_of_pairs
in:
file: second_cat/out_file1
count_multi_file:
tool_id: count_multi_file
in:
input1: collection_creates_dynamic_list_of_pairs/list_output
outputs:
wf_output_1:
outputSource: collection_creates_dynamic_list_of_pairs/list_output
""",
test_data="""
input1:
value: 1.fasta
type: File
name: fasta1
text_input: foo
""",
history_id=history_id)
invocation = self._get("/invocations/{}".format(
invocation_response.invocation_id)).json()
assert 'wf_output_1' in invocation['output_collections']
class JobsApiTestCase(ApiTestCase):
def setUp(self):
super(JobsApiTestCase, self).setUp()
self.dataset_populator = DatasetPopulator(self.galaxy_interactor)
self.dataset_collection_populator = DatasetCollectionPopulator(
self.galaxy_interactor)
@uses_test_history(require_new=True)
def test_index(self, history_id):
# Create HDA to ensure at least one job exists...
self.__history_with_new_dataset(history_id)
jobs = self.__jobs_index()
assert "upload1" in map(itemgetter("tool_id"), jobs)
@uses_test_history(require_new=True)
def test_system_details_admin_only(self, history_id):
self.__history_with_new_dataset(history_id)
jobs = self.__jobs_index(admin=False)
job = jobs[0]
self._assert_not_has_keys(job, "command_line", "external_id")
jobs = self.__jobs_index(admin=True)
job = jobs[0]
self._assert_has_keys(job, "command_line", "external_id")
@uses_test_history(require_new=True)
def test_index_state_filter(self, history_id):
# Initial number of ok jobs
original_count = len(self.__uploads_with_state("ok"))
# Run through dataset upload to ensure num uplaods at least greater
# by 1.
self.__history_with_ok_dataset(history_id)
# Verify number of ok jobs is actually greater.
count_increased = False
for _ in range(10):
new_count = len(self.__uploads_with_state("ok"))
if original_count < new_count:
count_increased = True
break
time.sleep(.1)
if not count_increased:
template = "Jobs in ok state did not increase (was %d, now %d)"
message = template % (original_count, new_count)
raise AssertionError(message)
@uses_test_history(require_new=True)
def test_index_date_filter(self, history_id):
self.__history_with_new_dataset(history_id)
two_weeks_ago = (datetime.datetime.utcnow() -
datetime.timedelta(7)).isoformat()
last_week = (datetime.datetime.utcnow() -
datetime.timedelta(7)).isoformat()
next_week = (datetime.datetime.utcnow() +
datetime.timedelta(7)).isoformat()
today = datetime.datetime.utcnow().isoformat()
tomorrow = (datetime.datetime.utcnow() +
datetime.timedelta(1)).isoformat()
jobs = self.__jobs_index(data={
"date_range_min": today[0:10],
"date_range_max": tomorrow[0:10]
})
assert len(jobs) > 0
today_job_id = jobs[0]["id"]
jobs = self.__jobs_index(data={
"date_range_min": two_weeks_ago,
"date_range_max": last_week
})
assert today_job_id not in map(itemgetter("id"), jobs)
jobs = self.__jobs_index(data={
"date_range_min": last_week,
"date_range_max": next_week
})
assert today_job_id in map(itemgetter("id"), jobs)
@uses_test_history(require_new=True)
def test_index_history(self, history_id):
self.__history_with_new_dataset(history_id)
jobs = self.__jobs_index(data={"history_id": history_id})
assert len(jobs) > 0
with self.dataset_populator.test_history() as other_history_id:
jobs = self.__jobs_index(data={"history_id": other_history_id})
assert len(jobs) == 0
@uses_test_history(require_new=True)
def test_index_multiple_states_filter(self, history_id):
# Initial number of ok jobs
original_count = len(self.__uploads_with_state("ok", "new"))
# Run through dataset upload to ensure num uplaods at least greater
# by 1.
self.__history_with_ok_dataset(history_id)
# Verify number of ok jobs is actually greater.
new_count = len(self.__uploads_with_state("new", "ok"))
assert original_count < new_count, new_count
@uses_test_history(require_new=True)
def test_show(self, history_id):
# Create HDA to ensure at least one job exists...
self.__history_with_new_dataset(history_id)
jobs_response = self._get("jobs")
first_job = jobs_response.json()[0]
self._assert_has_key(first_job, 'id', 'state', 'exit_code',
'update_time', 'create_time')
job_id = first_job["id"]
show_jobs_response = self._get("jobs/%s" % job_id)
self._assert_status_code_is(show_jobs_response, 200)
job_details = show_jobs_response.json()
self._assert_has_key(job_details, 'id', 'state', 'exit_code',
'update_time', 'create_time')
show_jobs_response = self._get("jobs/%s" % job_id, {"full": True})
self._assert_status_code_is(show_jobs_response, 200)
job_details = show_jobs_response.json()
self._assert_has_key(job_details, 'id', 'state', 'exit_code',
'update_time', 'create_time', 'stdout', 'stderr',
'job_messages')
@uses_test_history(require_new=True)
def test_show_security(self, history_id):
self.__history_with_new_dataset(history_id)
jobs_response = self._get("jobs", data={"history_id": history_id})
job = jobs_response.json()[0]
job_id = job["id"]
show_jobs_response = self._get("jobs/%s" % job_id, admin=False)
self._assert_not_has_keys(show_jobs_response.json(), "command_line",
"external_id")
# TODO: Re-activate test case when API accepts privacy settings
# with self._different_user():
# show_jobs_response = self._get( "jobs/%s" % job_id, admin=False )
# self._assert_status_code_is( show_jobs_response, 200 )
show_jobs_response = self._get("jobs/%s" % job_id, admin=True)
self._assert_has_keys(show_jobs_response.json(), "command_line",
"external_id")
def _run_detect_errors(self, history_id, inputs):
payload = self.dataset_populator.run_tool_payload(
tool_id='detect_errors_aggressive',
inputs=inputs,
history_id=history_id,
)
return self._post("tools", data=payload).json()
@skip_without_tool("detect_errors_aggressive")
def test_unhide_on_error(self):
with self.dataset_populator.test_history() as history_id:
inputs = {'error_bool': 'true'}
run_response = self._run_detect_errors(history_id=history_id,
inputs=inputs)
job_id = run_response['jobs'][0]["id"]
self.dataset_populator.wait_for_job(job_id)
job = self.dataset_populator.get_job_details(job_id).json()
assert job['state'] == 'error'
dataset = self.dataset_populator.get_history_dataset_details(
history_id=history_id,
dataset_id=run_response['outputs'][0]['id'],
assert_ok=False)
assert dataset['visible']
@skip_without_tool("detect_errors_aggressive")
def test_no_unhide_on_error_if_mapped_over(self):
with self.dataset_populator.test_history() as history_id:
hdca1 = self.dataset_collection_populator.create_list_in_history(
history_id, contents=[("sample1-1", "1 2 3")]).json()
inputs = {
'error_bool': 'true',
'dataset': {
'batch': True,
'values': [{
'src': 'hdca',
'id': hdca1['id']
}],
}
}
run_response = self._run_detect_errors(history_id=history_id,
inputs=inputs)
job_id = run_response['jobs'][0]["id"]
self.dataset_populator.wait_for_job(job_id)
job = self.dataset_populator.get_job_details(job_id).json()
assert job['state'] == 'error'
dataset = self.dataset_populator.get_history_dataset_details(
history_id=history_id,
dataset_id=run_response['outputs'][0]['id'],
assert_ok=False)
assert not dataset['visible']
@skip_without_tool('empty_output')
def test_common_problems(self):
with self.dataset_populator.test_history() as history_id:
empty_run_response = self.dataset_populator.run_tool(
tool_id='empty_output',
inputs={},
history_id=history_id,
)
empty_hda = empty_run_response["outputs"][0]
cat_empty_twice_run_response = self.dataset_populator.run_tool(
tool_id='cat1',
inputs={
'input1': {
'src': 'hda',
'id': empty_hda['id']
},
'queries_0|input2': {
'src': 'hda',
'id': empty_hda['id']
}
},
history_id=history_id,
)
empty_output_job = empty_run_response["jobs"][0]
cat_empty_job = cat_empty_twice_run_response["jobs"][0]
empty_output_common_problems_response = self._get(
'jobs/%s/common_problems' % empty_output_job["id"]).json()
cat_empty_common_problems_response = self._get(
'jobs/%s/common_problems' % cat_empty_job["id"]).json()
self._assert_has_keys(empty_output_common_problems_response,
"has_empty_inputs", "has_duplicate_inputs")
self._assert_has_keys(cat_empty_common_problems_response,
"has_empty_inputs", "has_duplicate_inputs")
assert not empty_output_common_problems_response["has_empty_inputs"]
assert cat_empty_common_problems_response["has_empty_inputs"]
assert not empty_output_common_problems_response[
"has_duplicate_inputs"]
assert cat_empty_common_problems_response["has_duplicate_inputs"]
@skip_without_tool('detect_errors_aggressive')
def test_report_error(self):
with self.dataset_populator.test_history() as history_id:
payload = self.dataset_populator.run_tool_payload(
tool_id='detect_errors_aggressive',
inputs={'error_bool': 'true'},
history_id=history_id,
)
run_response = self._post("tools", data=payload).json()
job_id = run_response['jobs'][0]["id"]
self.dataset_populator.wait_for_job(job_id)
dataset_id = run_response['outputs'][0]['id']
response = self._post('jobs/%s/error' % job_id,
data={'dataset_id': dataset_id})
assert response.status_code == 200, response.text
@skip_without_tool('detect_errors_aggressive')
def test_report_error_anon(self):
# Need to get a cookie and use that for anonymous tool runs
cookies = requests.get(self.url).cookies
payload = json.dumps({
"tool_id": "detect_errors_aggressive",
"inputs": {
"error_bool": "true"
}
})
run_response = requests.post("%s/tools" %
self.galaxy_interactor.api_url,
data=payload,
cookies=cookies).json()
job_id = run_response['jobs'][0]["id"]
dataset_id = run_response['outputs'][0]['id']
response = requests.post('%s/jobs/%s/error' %
(self.galaxy_interactor.api_url, job_id),
data={
'email': '*****@*****.**',
'dataset_id': dataset_id
},
cookies=cookies)
assert response.status_code == 200, response.text
@uses_test_history(require_new=True)
def test_deleting_output_keep_running_until_all_deleted(self, history_id):
job_state, outputs = self._setup_running_two_output_job(
history_id, 120)
self._hack_to_skip_test_if_state_ok(job_state)
# Delete one of the two outputs and make sure the job is still running.
self._raw_update_history_item(history_id, outputs[0]["id"],
{"deleted": True})
self._hack_to_skip_test_if_state_ok(job_state)
time.sleep(1)
self._hack_to_skip_test_if_state_ok(job_state)
state = job_state().json()["state"]
assert state == "running", state
# Delete the second output and make sure the job is cancelled.
self._raw_update_history_item(history_id, outputs[1]["id"],
{"deleted": True})
final_state = wait_on_state(job_state, assert_ok=False, timeout=15)
assert final_state in ["deleted_new", "deleted"], final_state
@uses_test_history(require_new=True)
def test_purging_output_keep_running_until_all_purged(self, history_id):
job_state, outputs = self._setup_running_two_output_job(
history_id, 120)
# Pretty much right away after the job is running, these paths should be populated -
# if they are grab them and make sure they are deleted at the end of the job.
dataset_1 = self._get_history_item_as_admin(history_id,
outputs[0]["id"])
dataset_2 = self._get_history_item_as_admin(history_id,
outputs[1]["id"])
if "file_name" in dataset_1:
output_dataset_paths = [
dataset_1["file_name"], dataset_2["file_name"]
]
# This may or may not exist depending on if the test is local or not.
output_dataset_paths_exist = os.path.exists(
output_dataset_paths[0])
else:
output_dataset_paths = []
output_dataset_paths_exist = False
self._hack_to_skip_test_if_state_ok(job_state)
current_state = job_state().json()["state"]
assert current_state == "running", current_state
# Purge one of the two outputs and make sure the job is still running.
self._raw_update_history_item(history_id, outputs[0]["id"],
{"purged": True})
time.sleep(1)
self._hack_to_skip_test_if_state_ok(job_state)
current_state = job_state().json()["state"]
assert current_state == "running", current_state
# Purge the second output and make sure the job is cancelled.
self._raw_update_history_item(history_id, outputs[1]["id"],
{"purged": True})
final_state = wait_on_state(job_state, assert_ok=False, timeout=15)
assert final_state in ["deleted_new", "deleted"], final_state
def paths_deleted():
if not os.path.exists(
output_dataset_paths[0]) and not os.path.exists(
output_dataset_paths[1]):
return True
if output_dataset_paths_exist:
wait_on(paths_deleted, "path deletion")
@uses_test_history(require_new=True)
def test_purging_output_cleaned_after_ok_run(self, history_id):
job_state, outputs = self._setup_running_two_output_job(history_id, 10)
# Pretty much right away after the job is running, these paths should be populated -
# if they are grab them and make sure they are deleted at the end of the job.
dataset_1 = self._get_history_item_as_admin(history_id,
outputs[0]["id"])
dataset_2 = self._get_history_item_as_admin(history_id,
outputs[1]["id"])
if "file_name" in dataset_1:
output_dataset_paths = [
dataset_1["file_name"], dataset_2["file_name"]
]
# This may or may not exist depending on if the test is local or not.
output_dataset_paths_exist = os.path.exists(
output_dataset_paths[0])
else:
output_dataset_paths = []
output_dataset_paths_exist = False
if not output_dataset_paths_exist:
# Given this Galaxy configuration - there is nothing more to be tested here.
# Consider throwing a skip instead.
return
# Purge one of the two outputs and wait for the job to complete.
self._raw_update_history_item(history_id, outputs[0]["id"],
{"purged": True})
wait_on_state(job_state, assert_ok=True)
if output_dataset_paths_exist:
time.sleep(.5)
# Make sure the non-purged dataset is on disk and the purged one is not.
assert os.path.exists(output_dataset_paths[1])
assert not os.path.exists(output_dataset_paths[0])
def _hack_to_skip_test_if_state_ok(self, job_state):
from nose.plugins.skip import SkipTest
if job_state().json()["state"] == "ok":
message = "Job state switch from running to ok too quickly - the rest of the test requires the job to be in a running state. Skipping test."
raise SkipTest(message)
def _setup_running_two_output_job(self, history_id, sleep_time):
payload = self.dataset_populator.run_tool_payload(
tool_id='create_2',
inputs=dict(sleep_time=sleep_time, ),
history_id=history_id,
)
run_response = self._post("tools", data=payload).json()
outputs = run_response["outputs"]
jobs = run_response["jobs"]
assert len(outputs) == 2
assert len(jobs) == 1
def job_state():
jobs_response = self._get("jobs/%s" % jobs[0]["id"])
return jobs_response
# Give job some time to get up and running.
time.sleep(2)
running_state = wait_on_state(job_state,
skip_states=["queued", "new"],
assert_ok=False,
timeout=15)
assert running_state == "running", running_state
def job_state():
jobs_response = self._get("jobs/%s" % jobs[0]["id"])
return jobs_response
return job_state, outputs
def _raw_update_history_item(self, history_id, item_id, data):
update_url = self._api_url("histories/%s/contents/%s" %
(history_id, item_id),
use_key=True)
update_response = requests.put(update_url, json=data)
assert_status_code_is_ok(update_response)
return update_response
@skip_without_tool("cat_data_and_sleep")
@uses_test_history(require_new=True)
def test_resume_job(self, history_id):
hda1 = self.dataset_populator.new_dataset(
history_id, content="samp1\t10.0\nsamp2\t20.0\n")
hda2 = self.dataset_populator.new_dataset(
history_id, content="samp1\t30.0\nsamp2\t40.0\n")
# Submit first job
payload = self.dataset_populator.run_tool_payload(
tool_id='cat_data_and_sleep',
inputs={
'sleep_time': 15,
'input1': {
'src': 'hda',
'id': hda2['id']
},
'queries_0|input2': {
'src': 'hda',
'id': hda2['id']
}
},
history_id=history_id,
)
run_response = self._post("tools", data=payload).json()
output = run_response["outputs"][0]
# Submit second job that waits on job1
payload = self.dataset_populator.run_tool_payload(
tool_id='cat1',
inputs={
'input1': {
'src': 'hda',
'id': hda1['id']
},
'queries_0|input2': {
'src': 'hda',
'id': output['id']
}
},
history_id=history_id,
)
run_response = self._post("tools", data=payload).json()
job_id = run_response['jobs'][0]['id']
output = run_response["outputs"][0]
# Delete second jobs input while second job is waiting for first job
delete_response = self._delete("histories/%s/contents/%s" %
(history_id, hda1['id']))
self._assert_status_code_is(delete_response, 200)
self.dataset_populator.wait_for_history_jobs(history_id,
assert_ok=False)
dataset_details = self._get("histories/%s/contents/%s" %
(history_id, output['id'])).json()
assert dataset_details['state'] == 'paused'
# Undelete input dataset
undelete_response = self._put("histories/%s/contents/%s" %
(history_id, hda1['id']),
data=json.dumps({'deleted': False}))
self._assert_status_code_is(undelete_response, 200)
resume_response = self._put("jobs/%s/resume" % job_id)
self._assert_status_code_is(resume_response, 200)
self.dataset_populator.wait_for_history_jobs(history_id,
assert_ok=True)
dataset_details = self._get("histories/%s/contents/%s" %
(history_id, output['id'])).json()
assert dataset_details['state'] == 'ok'
def _get_history_item_as_admin(self, history_id, item_id):
response = self._get("histories/%s/contents/%s?view=detailed" %
(history_id, item_id),
admin=True)
assert_status_code_is_ok(response)
return response.json()
@uses_test_history(require_new=True)
def test_search(self, history_id):
dataset_id = self.__history_with_ok_dataset(history_id)
# We first copy the datasets, so that the update time is lower than the job creation time
new_history_id = self.dataset_populator.new_history()
copy_payload = {
"content": dataset_id,
"source": "hda",
"type": "dataset"
}
copy_response = self._post("histories/%s/contents" % new_history_id,
data=copy_payload)
self._assert_status_code_is(copy_response, 200)
inputs = json.dumps({'input1': {'src': 'hda', 'id': dataset_id}})
self._job_search(tool_id='cat1', history_id=history_id, inputs=inputs)
# We test that a job can be found even if the dataset has been copied to another history
new_dataset_id = copy_response.json()['id']
copied_inputs = json.dumps(
{'input1': {
'src': 'hda',
'id': new_dataset_id
}})
search_payload = self._search_payload(history_id=history_id,
tool_id='cat1',
inputs=copied_inputs)
self._search(search_payload, expected_search_count=1)
# Now we delete the original input HDA that was used -- we should still be able to find the job
delete_respone = self._delete("histories/%s/contents/%s" %
(history_id, dataset_id))
self._assert_status_code_is(delete_respone, 200)
self._search(search_payload, expected_search_count=1)
# Now we also delete the copy -- we shouldn't find a job
delete_respone = self._delete("histories/%s/contents/%s" %
(new_history_id, new_dataset_id))
self._assert_status_code_is(delete_respone, 200)
self._search(search_payload, expected_search_count=0)
@uses_test_history(require_new=True)
def test_search_handle_identifiers(self, history_id):
# Test that input name and element identifier of a jobs' output must match for a job to be returned.
dataset_id = self.__history_with_ok_dataset(history_id)
inputs = json.dumps({'input1': {'src': 'hda', 'id': dataset_id}})
self._job_search(tool_id='identifier_single',
history_id=history_id,
inputs=inputs)
dataset_details = self._get("histories/%s/contents/%s" %
(history_id, dataset_id)).json()
dataset_details['name'] = 'Renamed Test Dataset'
dataset_update_response = self._put(
"histories/%s/contents/%s" % (history_id, dataset_id),
data=dict(name='Renamed Test Dataset'))
self._assert_status_code_is(dataset_update_response, 200)
assert dataset_update_response.json()['name'] == 'Renamed Test Dataset'
search_payload = self._search_payload(history_id=history_id,
tool_id='identifier_single',
inputs=inputs)
self._search(search_payload, expected_search_count=0)
@uses_test_history(require_new=True)
def test_search_delete_outputs(self, history_id):
dataset_id = self.__history_with_ok_dataset(history_id)
inputs = json.dumps({'input1': {'src': 'hda', 'id': dataset_id}})
tool_response = self._job_search(tool_id='cat1',
history_id=history_id,
inputs=inputs)
output_id = tool_response.json()['outputs'][0]['id']
delete_respone = self._delete("histories/%s/contents/%s" %
(history_id, output_id))
self._assert_status_code_is(delete_respone, 200)
search_payload = self._search_payload(history_id=history_id,
tool_id='cat1',
inputs=inputs)
self._search(search_payload, expected_search_count=0)
@uses_test_history(require_new=True)
def test_search_with_hdca_list_input(self, history_id):
list_id_a = self.__history_with_ok_collection(collection_type='list',
history_id=history_id)
list_id_b = self.__history_with_ok_collection(collection_type='list',
history_id=history_id)
inputs = json.dumps({
'f1': {
'src': 'hdca',
'id': list_id_a
},
'f2': {
'src': 'hdca',
'id': list_id_b
},
})
tool_response = self._job_search(tool_id='multi_data_param',
history_id=history_id,
inputs=inputs)
# We switch the inputs, this should not return a match
inputs_switched = json.dumps({
'f2': {
'src': 'hdca',
'id': list_id_a
},
'f1': {
'src': 'hdca',
'id': list_id_b
},
})
search_payload = self._search_payload(history_id=history_id,
tool_id='multi_data_param',
inputs=inputs_switched)
self._search(search_payload, expected_search_count=0)
# We delete the ouput (this is a HDA, as multi_data_param reduces collections)
# and use the correct input job definition, the job should not be found
output_id = tool_response.json()['outputs'][0]['id']
delete_respone = self._delete("histories/%s/contents/%s" %
(history_id, output_id))
self._assert_status_code_is(delete_respone, 200)
search_payload = self._search_payload(history_id=history_id,
tool_id='multi_data_param',
inputs=inputs)
self._search(search_payload, expected_search_count=0)
@uses_test_history(require_new=True)
def test_search_delete_hdca_output(self, history_id):
list_id_a = self.__history_with_ok_collection(collection_type='list',
history_id=history_id)
inputs = json.dumps({
'input1': {
'src': 'hdca',
'id': list_id_a
},
})
tool_response = self._job_search(tool_id='collection_creates_list',
history_id=history_id,
inputs=inputs)
output_id = tool_response.json()['outputs'][0]['id']
# We delete a single tool output, no job should be returned
delete_respone = self._delete("histories/%s/contents/%s" %
(history_id, output_id))
self._assert_status_code_is(delete_respone, 200)
search_payload = self._search_payload(
history_id=history_id,
tool_id='collection_creates_list',
inputs=inputs)
self._search(search_payload, expected_search_count=0)
tool_response = self._job_search(tool_id='collection_creates_list',
history_id=history_id,
inputs=inputs)
output_collection_id = tool_response.json(
)['output_collections'][0]['id']
# We delete a collection output, no job should be returned
delete_respone = self._delete(
"histories/%s/contents/dataset_collections/%s" %
(history_id, output_collection_id))
self._assert_status_code_is(delete_respone, 200)
search_payload = self._search_payload(
history_id=history_id,
tool_id='collection_creates_list',
inputs=inputs)
self._search(search_payload, expected_search_count=0)
@uses_test_history(require_new=True)
def test_search_with_hdca_pair_input(self, history_id):
list_id_a = self.__history_with_ok_collection(collection_type='pair',
history_id=history_id)
inputs = json.dumps({
'f1': {
'src': 'hdca',
'id': list_id_a
},
'f2': {
'src': 'hdca',
'id': list_id_a
},
})
self._job_search(tool_id='multi_data_param',
history_id=history_id,
inputs=inputs)
# We test that a job can be found even if the collection has been copied to another history
new_history_id = self.dataset_populator.new_history()
copy_payload = {
"content": list_id_a,
"source": "hdca",
"type": "dataset_collection"
}
copy_response = self._post("histories/%s/contents" % new_history_id,
data=copy_payload)
self._assert_status_code_is(copy_response, 200)
new_list_a = copy_response.json()['id']
copied_inputs = json.dumps({
'f1': {
'src': 'hdca',
'id': new_list_a
},
'f2': {
'src': 'hdca',
'id': new_list_a
},
})
search_payload = self._search_payload(history_id=new_history_id,
tool_id='multi_data_param',
inputs=copied_inputs)
self._search(search_payload, expected_search_count=1)
# Now we delete the original input HDCA that was used -- we should still be able to find the job
delete_respone = self._delete(
"histories/%s/contents/dataset_collections/%s" %
(history_id, list_id_a))
self._assert_status_code_is(delete_respone, 200)
self._search(search_payload, expected_search_count=1)
# Now we also delete the copy -- we shouldn't find a job
delete_respone = self._delete(
"histories/%s/contents/dataset_collections/%s" %
(history_id, new_list_a))
self._assert_status_code_is(delete_respone, 200)
self._search(search_payload, expected_search_count=0)
@uses_test_history(require_new=True)
def test_search_with_hdca_list_pair_input(self, history_id):
list_id_a = self.__history_with_ok_collection(
collection_type='list:pair', history_id=history_id)
inputs = json.dumps({
'f1': {
'src': 'hdca',
'id': list_id_a
},
'f2': {
'src': 'hdca',
'id': list_id_a
},
})
self._job_search(tool_id='multi_data_param',
history_id=history_id,
inputs=inputs)
def _job_search(self, tool_id, history_id, inputs):
search_payload = self._search_payload(history_id=history_id,
tool_id=tool_id,
inputs=inputs)
empty_search_response = self._post("jobs/search", data=search_payload)
self._assert_status_code_is(empty_search_response, 200)
self.assertEqual(len(empty_search_response.json()), 0)
tool_response = self._post("tools", data=search_payload)
self.dataset_populator.wait_for_tool_run(history_id,
run_response=tool_response)
self._search(search_payload, expected_search_count=1)
return tool_response
def _search_payload(self, history_id, tool_id, inputs, state='ok'):
search_payload = dict(tool_id=tool_id,
inputs=inputs,
history_id=history_id,
state=state)
return search_payload
def _search(self, payload, expected_search_count=1):
# in case job and history aren't updated at exactly the same
# time give time to wait
for _ in range(5):
search_count = self._search_count(payload)
if search_count == expected_search_count:
break
time.sleep(1)
assert search_count == expected_search_count, "expected to find %d jobs, got %d jobs" % (
expected_search_count, search_count)
return search_count
def _search_count(self, search_payload):
search_response = self._post("jobs/search", data=search_payload)
self._assert_status_code_is(search_response, 200)
search_json = search_response.json()
return len(search_json)
def __uploads_with_state(self, *states):
jobs_response = self._get("jobs", data=dict(state=states))
self._assert_status_code_is(jobs_response, 200)
jobs = jobs_response.json()
assert not [j for j in jobs if not j['state'] in states]
return [j for j in jobs if j['tool_id'] == 'upload1']
def __history_with_new_dataset(self, history_id):
dataset_id = self.dataset_populator.new_dataset(history_id)["id"]
return dataset_id
def __history_with_ok_dataset(self, history_id):
dataset_id = self.dataset_populator.new_dataset(history_id,
wait=True)["id"]
return dataset_id
def __history_with_ok_collection(self,
collection_type='list',
history_id=None):
if not history_id:
history_id = self.dataset_populator.new_history()
if collection_type == 'list':
fetch_response = self.dataset_collection_populator.create_list_in_history(
history_id, direct_upload=True).json()
elif collection_type == 'pair':
fetch_response = self.dataset_collection_populator.create_pair_in_history(
history_id, direct_upload=True).json()
elif collection_type == 'list:pair':
fetch_response = self.dataset_collection_populator.create_list_of_pairs_in_history(
history_id).json()
self.dataset_collection_populator.wait_for_fetched_collection(
fetch_response)
return fetch_response["outputs"][0]['id']
def __jobs_index(self, **kwds):
jobs_response = self._get("jobs", **kwds)
self._assert_status_code_is(jobs_response, 200)
jobs = jobs_response.json()
assert isinstance(jobs, list)
return jobs
def setUp(self):
super(ExtendedMetadataMappingIntegrationTestCase, self).setUp()
self.dataset_populator = DatasetPopulator(self.galaxy_interactor)
self.dataset_collection_populator = DatasetCollectionPopulator(
self.galaxy_interactor)
class HistoriesApiTestCase(ApiTestCase):
def setUp(self):
super(HistoriesApiTestCase, self).setUp()
self.dataset_populator = DatasetPopulator(self.galaxy_interactor)
self.dataset_collection_populator = DatasetCollectionPopulator(
self.galaxy_interactor)
def test_create_history(self):
# Create a history.
create_response = self._create_history("TestHistory1")
created_id = create_response["id"]
# Make sure new history appears in index of user's histories.
index_response = self._get("histories").json()
indexed_history = [h for h in index_response
if h["id"] == created_id][0]
self.assertEqual(indexed_history["name"], "TestHistory1")
def test_show_history(self):
history_id = self._create_history("TestHistoryForShow")["id"]
show_response = self._show(history_id)
self._assert_has_key(show_response, 'id', 'name', 'annotation', 'size',
'contents_url', 'state', 'state_details',
'state_ids')
state_details = show_response["state_details"]
state_ids = show_response["state_ids"]
states = [
'discarded', 'empty', 'error', 'failed_metadata', 'new', 'ok',
'paused', 'queued', 'running', 'setting_metadata', 'upload'
]
assert isinstance(state_details, dict)
assert isinstance(state_ids, dict)
self._assert_has_keys(state_details, *states)
self._assert_has_keys(state_ids, *states)
def test_show_most_recently_used(self):
history_id = self._create_history("TestHistoryRecent")["id"]
show_response = self._get("histories/most_recently_used").json()
assert show_response["id"] == history_id
def test_index_order(self):
slightly_older_history_id = self._create_history(
"TestHistorySlightlyOlder")["id"]
newer_history_id = self._create_history("TestHistoryNewer")["id"]
index_response = self._get("histories").json()
assert index_response[0]["id"] == newer_history_id
assert index_response[1]["id"] == slightly_older_history_id
def test_delete(self):
# Setup a history and ensure it is in the index
history_id = self._create_history("TestHistoryForDelete")["id"]
index_response = self._get("histories").json()
assert index_response[0]["id"] == history_id
show_response = self._show(history_id)
assert not show_response["deleted"]
# Delete the history
self._delete("histories/%s" % history_id)
# Check can view it - but it is deleted
show_response = self._show(history_id)
assert show_response["deleted"]
# Verify it is dropped from history index
index_response = self._get("histories").json()
assert len(
index_response) == 0 or index_response[0]["id"] != history_id
# Add deleted filter to index to view it
index_response = self._get("histories", {"deleted": "true"}).json()
assert index_response[0]["id"] == history_id
def test_purge(self):
history_id = self._create_history("TestHistoryForPurge")["id"]
data = {'purge': True}
self._delete("histories/%s" % history_id, data=data)
show_response = self._show(history_id)
assert show_response["deleted"]
assert show_response["purged"]
def test_undelete(self):
history_id = self._create_history(
"TestHistoryForDeleteAndUndelete")["id"]
self._delete("histories/%s" % history_id)
self._post("histories/deleted/%s/undelete" % history_id)
show_response = self._show(history_id)
assert not show_response["deleted"]
def test_update(self):
history_id = self._create_history("TestHistoryForUpdating")["id"]
self._update(history_id, {"name": "New Name"})
show_response = self._show(history_id)
assert show_response["name"] == "New Name"
unicode_name = u'桜ゲノム'
self._update(history_id, {"name": unicode_name})
show_response = self._show(history_id)
assert show_response["name"] == unicode_name, show_response
quoted_name = "'MooCow'"
self._update(history_id, {"name": quoted_name})
show_response = self._show(history_id)
assert show_response["name"] == quoted_name
self._update(history_id, {"deleted": True})
show_response = self._show(history_id)
assert show_response["deleted"], show_response
self._update(history_id, {"deleted": False})
show_response = self._show(history_id)
assert not show_response["deleted"]
self._update(history_id, {"published": True})
show_response = self._show(history_id)
assert show_response["published"]
self._update(history_id, {"genome_build": "hg18"})
show_response = self._show(history_id)
assert show_response["genome_build"] == "hg18"
self._update(history_id, {"annotation": "The annotation is cool"})
show_response = self._show(history_id)
assert show_response["annotation"] == "The annotation is cool"
self._update(history_id, {"annotation": unicode_name})
show_response = self._show(history_id)
assert show_response["annotation"] == unicode_name, show_response
self._update(history_id, {"annotation": quoted_name})
show_response = self._show(history_id)
assert show_response["annotation"] == quoted_name
def test_update_invalid_attribute(self):
history_id = self._create_history(
"TestHistoryForInvalidUpdating")["id"]
put_response = self._update(history_id, {"invalidkey": "moo"})
assert "invalidkey" not in put_response.json()
def test_update_invalid_types(self):
history_id = self._create_history(
"TestHistoryForUpdatingInvalidTypes")["id"]
for str_key in ["name", "annotation"]:
assert self._update(history_id, {
str_key: False
}).status_code == 400
for bool_key in ['deleted', 'importable', 'published']:
assert self._update(history_id, {
bool_key: "a string"
}).status_code == 400
assert self._update(history_id, {
"tags": "a simple string"
}).status_code == 400
assert self._update(history_id, {"tags": [True]}).status_code == 400
def test_invalid_keys(self):
invalid_history_id = "1234123412341234"
assert self._get("histories/%s" %
invalid_history_id).status_code == 400
assert self._update(invalid_history_id, {
"name": "new name"
}).status_code == 400
assert self._delete("histories/%s" %
invalid_history_id).status_code == 400
assert self._post("histories/deleted/%s/undelete" %
invalid_history_id).status_code == 400
def test_create_anonymous_fails(self):
post_data = dict(name="CannotCreate")
# Using lower-level _api_url will cause key to not be injected.
histories_url = self._api_url("histories")
create_response = post(url=histories_url, data=post_data)
self._assert_status_code_is(create_response, 403)
def test_import_export(self):
history_name = "for_export_default"
history_id = self.dataset_populator.new_history(name=history_name)
self.dataset_populator.new_dataset(history_id, content="1 2 3")
deleted_hda = self.dataset_populator.new_dataset(history_id,
content="1 2 3",
wait=True)
self.dataset_populator.delete_dataset(history_id, deleted_hda["id"])
deleted_details = self.dataset_populator.get_history_dataset_details(
history_id, id=deleted_hda["id"])
assert deleted_details["deleted"]
imported_history_id = self._reimport_history(history_id,
history_name,
wait_on_history_length=2)
def upload_job_check(job):
assert job["tool_id"] == "upload1"
def check_discarded(hda):
assert hda["deleted"]
assert hda["state"] == "discarded", hda
assert hda["purged"] is True
self._check_imported_dataset(history_id=imported_history_id,
hid=1,
job_checker=upload_job_check)
self._check_imported_dataset(history_id=imported_history_id,
hid=2,
has_job=False,
hda_checker=check_discarded,
job_checker=upload_job_check)
imported_content = self.dataset_populator.get_history_dataset_content(
history_id=imported_history_id,
hid=1,
)
assert imported_content == "1 2 3\n"
def test_import_1901_histories(self):
f = open(
self.test_data_resolver.get_filename(
"exports/1901_two_datasets.tgz"), 'rb')
import_data = dict(archive_source='', archive_file=f)
self._import_history_and_wait(import_data,
"API Test History",
wait_on_history_length=2)
def test_import_export_include_deleted(self):
history_name = "for_export_include_deleted"
history_id = self.dataset_populator.new_history(name=history_name)
self.dataset_populator.new_dataset(history_id, content="1 2 3")
deleted_hda = self.dataset_populator.new_dataset(history_id,
content="1 2 3",
wait=True)
self.dataset_populator.delete_dataset(history_id, deleted_hda["id"])
imported_history_id = self._reimport_history(
history_id,
history_name,
wait_on_history_length=2,
export_kwds={"include_deleted": "True"})
self._assert_history_length(imported_history_id, 2)
def upload_job_check(job):
assert job["tool_id"] == "upload1"
def check_deleted_not_purged(hda):
assert hda["state"] == "ok", hda
assert hda["deleted"] is True, hda
assert hda["purged"] is False, hda
self._check_imported_dataset(history_id=imported_history_id,
hid=1,
job_checker=upload_job_check)
self._check_imported_dataset(history_id=imported_history_id,
hid=2,
hda_checker=check_deleted_not_purged,
job_checker=upload_job_check)
imported_content = self.dataset_populator.get_history_dataset_content(
history_id=imported_history_id,
hid=1,
)
assert imported_content == "1 2 3\n"
@skip_without_tool("job_properties")
def test_import_export_failed_job(self):
history_name = "for_export_include_failed_job"
history_id = self.dataset_populator.new_history(name=history_name)
self.dataset_populator.run_tool('job_properties',
inputs={'failbool': True},
history_id=history_id,
assert_ok=False)
self.dataset_populator.wait_for_history(history_id, assert_ok=False)
imported_history_id = self._reimport_history(
history_id,
history_name,
assert_ok=False,
wait_on_history_length=4,
export_kwds={"include_deleted": "True"})
self._assert_history_length(imported_history_id, 4)
def check_failed(hda_or_job):
print(hda_or_job)
assert hda_or_job["state"] == "error", hda_or_job
self.dataset_populator._summarize_history(imported_history_id)
self._check_imported_dataset(history_id=imported_history_id,
hid=1,
assert_ok=False,
hda_checker=check_failed,
job_checker=check_failed)
def test_import_metadata_regeneration(self):
history_name = "for_import_metadata_regeneration"
history_id = self.dataset_populator.new_history(name=history_name)
self.dataset_populator.new_dataset(
history_id,
content=open(self.test_data_resolver.get_filename("1.bam"), 'rb'),
file_type='bam',
wait=True)
imported_history_id = self._reimport_history(history_id, history_name)
self._assert_history_length(imported_history_id, 1)
self._check_imported_dataset(history_id=imported_history_id, hid=1)
import_bam_metadata = self.dataset_populator.get_history_dataset_details(
history_id=imported_history_id,
hid=1,
)
# The cleanup() method of the __IMPORT_HISTORY__ job (which is executed
# after the job has entered its final state):
# - creates a new dataset with 'ok' state and adds it to the history
# - starts a __SET_METADATA__ job to regenerate the dataset metadata, if
# needed
# We need to wait a bit for the creation of the __SET_METADATA__ job.
time.sleep(1)
self.dataset_populator.wait_for_history_jobs(imported_history_id,
assert_ok=True)
bai_metadata = import_bam_metadata["meta_files"][0]
assert bai_metadata["file_type"] == "bam_index"
api_url = bai_metadata["download_url"].split("api/", 1)[1]
bai_response = self._get(api_url)
self._assert_status_code_is(bai_response, 200)
assert len(bai_response.content) > 4
def test_import_export_collection(self):
history_name = "for_export_with_collections"
history_id = self.dataset_populator.new_history(name=history_name)
self.dataset_collection_populator.create_list_in_history(
history_id, contents=["Hello", "World"], direct_upload=True)
imported_history_id = self._reimport_history(history_id,
history_name,
wait_on_history_length=3)
self._assert_history_length(imported_history_id, 3)
def check_elements(elements):
assert len(elements) == 2
element0 = elements[0]["object"]
element1 = elements[1]["object"]
for element in [element0, element1]:
assert not element["visible"]
assert not element["deleted"]
assert element["state"] == "ok"
assert element0["hid"] == 2
assert element1["hid"] == 3
self._check_imported_collection(imported_history_id,
hid=1,
collection_type="list",
elements_checker=check_elements)
def test_import_export_nested_collection(self):
history_name = "for_export_with_nested_collections"
history_id = self.dataset_populator.new_history(name=history_name)
self.dataset_collection_populator.create_list_of_pairs_in_history(
history_id)
imported_history_id = self._reimport_history(history_id,
history_name,
wait_on_history_length=3)
self._assert_history_length(imported_history_id, 3)
def check_elements(elements):
assert len(elements) == 1
element0 = elements[0]["object"]
self._assert_has_keys(element0, "elements", "collection_type")
child_elements = element0["elements"]
assert len(child_elements) == 2
assert element0["collection_type"] == "paired"
self._check_imported_collection(imported_history_id,
hid=1,
collection_type="list:paired",
elements_checker=check_elements)
def _reimport_history(self,
history_id,
history_name,
wait_on_history_length=None,
assert_ok=True,
export_kwds={}):
# Ensure the history is ready to go...
self.dataset_populator.wait_for_history(history_id,
assert_ok=assert_ok)
return self.dataset_populator.reimport_history(
history_id,
history_name,
wait_on_history_length=wait_on_history_length,
export_kwds=export_kwds,
url=self.url,
api_key=self.galaxy_interactor.api_key)
def _import_history_and_wait(self,
import_data,
history_name,
wait_on_history_length=None):
imported_history_id = self.dataset_populator.import_history_and_wait_for_name(
import_data, history_name)
if wait_on_history_length:
self.dataset_populator.wait_on_history_length(
imported_history_id, wait_on_history_length)
return imported_history_id
def _assert_history_length(self, history_id, n):
contents_response = self._get("histories/%s/contents" % history_id)
self._assert_status_code_is(contents_response, 200)
contents = contents_response.json()
assert len(contents) == n, contents
def _check_imported_dataset(self,
history_id,
hid,
assert_ok=True,
has_job=True,
hda_checker=None,
job_checker=None):
imported_dataset_metadata = self.dataset_populator.get_history_dataset_details(
history_id=history_id,
hid=hid,
assert_ok=assert_ok,
)
assert imported_dataset_metadata["history_content_type"] == "dataset"
assert imported_dataset_metadata["history_id"] == history_id
if hda_checker is not None:
hda_checker(imported_dataset_metadata)
assert "creating_job" in imported_dataset_metadata
job_id = imported_dataset_metadata["creating_job"]
if has_job:
assert job_id
job_details = self.dataset_populator.get_job_details(job_id,
full=True)
assert job_details.status_code == 200, job_details.content
job = job_details.json()
assert 'history_id' in job, job
assert job['history_id'] == history_id, job
if job_checker is not None:
job_checker(job)
def _check_imported_collection(self,
history_id,
hid,
collection_type=None,
elements_checker=None):
imported_collection_metadata = self.dataset_populator.get_history_collection_details(
history_id=history_id,
hid=hid,
)
assert imported_collection_metadata[
"history_content_type"] == "dataset_collection"
assert imported_collection_metadata["history_id"] == history_id
assert "collection_type" in imported_collection_metadata
assert "elements" in imported_collection_metadata
if collection_type is not None:
assert imported_collection_metadata[
"collection_type"] == collection_type, imported_collection_metadata
if elements_checker is not None:
elements_checker(imported_collection_metadata["elements"])
def test_create_tag(self):
post_data = dict(name="TestHistoryForTag")
history_id = self._post("histories", data=post_data).json()["id"]
tag_data = dict(value="awesometagvalue")
tag_url = "histories/%s/tags/awesometagname" % history_id
tag_create_response = self._post(tag_url, data=tag_data)
self._assert_status_code_is(tag_create_response, 200)
def _show(self, history_id):
return self._get("histories/%s" % history_id).json()
def _update(self, history_id, data):
update_url = self._api_url("histories/%s" % history_id, use_key=True)
put_response = put(update_url, json=data)
return put_response
def _create_history(self, name):
post_data = dict(name=name)
create_response = self._post("histories", data=post_data).json()
self._assert_has_keys(create_response, "name", "id")
self.assertEqual(create_response["name"], name)
return create_response
