def test_prep_template_graph_get_req(self):
obs = prep_template_graph_get_req(1, '*****@*****.**')
exp = {'edge_list': [(1, 3), (1, 2), (2, 4), (2, 5), (2, 6)],
'node_labels': [(1, 'Raw data 1 - FASTQ'),
(2, 'Demultiplexed 1 - Demultiplexed'),
(3, 'Demultiplexed 2 - Demultiplexed'),
(4, 'BIOM - BIOM'),
(5, 'BIOM - BIOM'),
(6, 'BIOM - BIOM')],
'status': 'success',
'message': ''}
self.assertItemsEqual(obs['edge_list'], exp['edge_list'])
self.assertItemsEqual(obs['node_labels'], exp['node_labels'])
self.assertEqual(obs['status'], exp['status'])
self.assertEqual(obs['message'], exp['message'])
Artifact(4).visibility = "public"
obs = prep_template_graph_get_req(1, '*****@*****.**')
exp = {'edge_list': [(1, 2), (2, 4)],
'node_labels': [(1, 'Raw data 1 - FASTQ'),
(2, 'Demultiplexed 1 - Demultiplexed'),
(4, 'BIOM - BIOM')],
'status': 'success',
'message': ''}
self.assertItemsEqual(obs['edge_list'], exp['edge_list'])
self.assertItemsEqual(obs['node_labels'], exp['node_labels'])
self.assertEqual(obs['status'], exp['status'])
self.assertEqual(obs['message'], exp['message'])
# Reset visibility of the artifacts
for i in range(4, 0, -1):
Artifact(i).visibility = "private"
def artifact_get_prep_req(user_id, artifact_ids):
"""Returns all prep info sample ids for the given artifact_ids
Parameters
----------
user_id : str
user making the request
artifact_ids : list of int
list of artifact ids
Returns
-------
dict of objects
A dictionary containing the artifact information
{'status': status,
'message': message,
'data': {artifact_id: [prep info sample ids]}
"""
samples = {}
for aid in sorted(artifact_ids):
artifact = Artifact(aid)
access_error = check_access(artifact.study.id, user_id)
if access_error:
return access_error
samples[aid] = list(
chain(*[sorted(pt.keys()) for pt in Artifact(aid).prep_templates]))
return {'status': 'success', 'msg': '', 'data': samples}
def test_artifact_post_req(self):
# Create new prep template to attach artifact to
pt = npt.assert_warns(QiitaDBWarning, PrepTemplate.create,
pd.DataFrame({'new_col': {
'1.SKD6.640190': 1
}}), Study(1), '16S')
self._files_to_remove.extend([fp for _, fp in pt.get_filepaths()])
new_artifact_id = get_count('qiita.artifact') + 1
filepaths = {
'raw_forward_seqs': 'uploaded_file.txt',
'raw_barcodes': 'update.txt'
}
obs = artifact_post_req('*****@*****.**', filepaths, 'FASTQ',
'New Test Artifact', pt.id)
exp = {'status': 'success', 'message': ''}
self.assertEqual(obs, exp)
obs = r_client.get('prep_template_%d' % pt.id)
self.assertIsNotNone(obs)
redis_info = loads(r_client.get(loads(obs)['job_id']))
while redis_info['status_msg'] == 'Running':
sleep(0.05)
redis_info = loads(r_client.get(loads(obs)['job_id']))
# Instantiate the artifact to make sure it was made and
# to clean the environment
a = Artifact(new_artifact_id)
self._files_to_remove.extend([fp for _, fp, _ in a.filepaths])
# Test importing an artifact
# Create new prep template to attach artifact to
pt = npt.assert_warns(QiitaDBWarning, PrepTemplate.create,
pd.DataFrame({'new_col': {
'1.SKD6.640190': 1
}}), Study(1), '16S')
self._files_to_remove.extend([fp for _, fp in pt.get_filepaths()])
new_artifact_id_2 = get_count('qiita.artifact') + 1
obs = artifact_post_req('*****@*****.**', {}, 'FASTQ',
'New Test Artifact 2', pt.id, new_artifact_id)
exp = {'status': 'success', 'message': ''}
self.assertEqual(obs, exp)
obs = r_client.get('prep_template_%d' % pt.id)
self.assertIsNotNone(obs)
redis_info = loads(r_client.get(loads(obs)['job_id']))
while redis_info['status_msg'] == 'Running':
sleep(0.05)
redis_info = loads(r_client.get(loads(obs)['job_id']))
# Instantiate the artifact to make sure it was made and
# to clean the environment
a = Artifact(new_artifact_id_2)
self._files_to_remove.extend([fp for _, fp, _ in a.filepaths])
def artifact_post_req(user, artifact_id):
"""Deletes the artifact
Parameters
----------
user : qiita_db.user.User
The user requesting the action
artifact_id : int
Id of the artifact being deleted
"""
artifact_id = int(artifact_id)
artifact = Artifact(artifact_id)
check_artifact_access(user, artifact)
analysis = artifact.analysis
if analysis:
# Do something when deleting in the analysis part to keep track of it
redis_key = "analysis_%s" % analysis.id
else:
pt_id = artifact.prep_templates[0].id
redis_key = PREP_TEMPLATE_KEY_FORMAT % pt_id
qiita_plugin = Software.from_name_and_version('Qiita', 'alpha')
cmd = qiita_plugin.get_command('delete_artifact')
params = Parameters.load(cmd, values_dict={'artifact': artifact_id})
job = ProcessingJob.create(user, params)
r_client.set(redis_key, dumps({'job_id': job.id, 'is_qiita_job': True}))
job.submit()
def artifact_post_req(user, artifact_id):
"""Deletes the artifact
Parameters
----------
user : qiita_db.user.User
The user requesting the action
artifact_id : int
Id of the artifact being deleted
"""
artifact_id = int(artifact_id)
artifact = Artifact(artifact_id)
check_artifact_access(user, artifact)
analysis = artifact.analysis
if analysis:
# Do something when deleting in the analysis part to keep track of it
redis_key = "analysis_%s" % analysis.id
else:
pt_id = artifact.prep_templates[0].id
redis_key = PREP_TEMPLATE_KEY_FORMAT % pt_id
job_id = safe_submit(user.id, delete_artifact, artifact_id)
r_client.set(redis_key, dumps({'job_id': job_id, 'is_qiita_job': False}))
def artifact_delete_req(artifact_id, user_id):
"""Deletes the artifact
Parameters
----------
artifact_id : int
Artifact being acted on
user_id : str
The user requesting the action
Returns
-------
dict
Status of action, in the form {'status': status, 'message': msg}
status: status of the action, either success or error
message: Human readable message for status
"""
pd = Artifact(int(artifact_id))
pt_id = pd.prep_templates[0].id
access_error = check_access(pd.study.id, user_id)
if access_error:
return access_error
job_id = safe_submit(user_id, delete_artifact, artifact_id)
r_client.set(PREP_TEMPLATE_KEY_FORMAT % pt_id, dumps({'job_id': job_id}))
return {'status': 'success', 'message': ''}
def post(self, preprocessed_data_id):
user = self.current_user
# make sure user is admin and can therefore actually submit to VAMPS
if user.level != 'admin':
raise HTTPError(403, "User %s cannot submit to VAMPS!" % user.id)
msg = ''
msg_level = 'success'
study = Artifact(preprocessed_data_id).study
study_id = study.id
state = study.ebi_submission_status
if state == 'submitting':
msg = "Cannot resubmit! Current state is: %s" % state
msg_level = 'danger'
else:
channel = user.id
job_id = submit(channel, submit_to_VAMPS,
int(preprocessed_data_id))
self.render(
'compute_wait.html',
job_id=job_id,
title='VAMPS Submission',
completion_redirect=('/study/description/%s?top_tab='
'preprocessed_data_tab&sub_tab=%s' %
(study_id, preprocessed_data_id)))
return
self.display_template(preprocessed_data_id, msg, msg_level)
def copy_raw_data(prep_template, artifact_id):
"""Creates a new raw data by copying from artifact_id
Parameters
----------
prep_template : qiita_db.metadata_template.prep_template.PrepTemplate
The template to attach the artifact
artifact_id : int
The id of the artifact to duplicate
Returns
-------
dict of {str: str}
A dict of the form {'status': str, 'message': str}
"""
from qiita_db.artifact import Artifact
status = 'success'
msg = ''
try:
Artifact.copy(Artifact(artifact_id), prep_template)
except Exception as e:
# We should hit this exception rarely (that's why it is an
# exception) since at this point we have done multiple checks.
# However, it can occur in weird cases, so better let the GUI know
# that this failed
return {'status': 'danger',
'message': "Error creating artifact: %s" % str(e)}
return {'status': status, 'message': msg}
def setUp(self):
uploads_path = get_mountpoint('uploads')[0][1]
# Create prep test file to point at
self.update_fp = join(uploads_path, '1', 'update.txt')
with open(self.update_fp, 'w') as f:
f.write("""sample_name\tnew_col\n1.SKD6.640190\tnew_value\n""")
self._files_to_remove = [self.update_fp]
self._files_to_remove = []
# creating temporal files and artifact
# NOTE: we don't need to remove the artifact created cause it's
# used to test the delete functionality
fd, fp = mkstemp(suffix='_seqs.fna')
close(fd)
with open(fp, 'w') as f:
f.write(">1.sid_r4_0 M02034:17:000000000-A5U18:1:1101:15370:1394 "
"1:N:0:1 orig_bc=CATGAGCT new_bc=CATGAGCT bc_diffs=0\n"
"GTGTGCCAGCAGCCGCGGTAATACGTAGGG\n")
# 4 Demultiplexed
filepaths_processed = [(fp, 4)]
# 1 for default parameters and input data
exp_params = Parameters.from_default_params(DefaultParameters(1),
{'input_data': 1})
self.artifact = Artifact.create(filepaths_processed, "Demultiplexed",
parents=[Artifact(1)],
processing_parameters=exp_params)
def post(self, preprocessed_data_id):
user = self.current_user
# make sure user is admin and can therefore actually submit to VAMPS
if user.level != 'admin':
raise HTTPError(403, "User %s cannot submit to VAMPS!" % user.id)
msg = ''
msg_level = 'success'
plugin = Software.from_name_and_version('Qiita', 'alpha')
cmd = plugin.get_command('submit_to_VAMPS')
artifact = Artifact(preprocessed_data_id)
# Check if the artifact is already being submitted to VAMPS
is_being_submitted = any([
j.status in ('queued', 'running') for j in artifact.jobs(cmd=cmd)
])
if is_being_submitted == 'submitting':
msg = "Cannot resubmit! Data is already being submitted"
msg_level = 'danger'
self.display_template(preprocessed_data_id, msg, msg_level)
else:
params = Parameters.load(
cmd, values_dict={'artifact': preprocessed_data_id})
job = ProcessingJob.create(user, params)
job.submit()
self.redirect('/study/description/%s' % artifact.study.study_id)
def get(self):
artifact_id = self.get_argument("artifact_id", None)
if artifact_id is None:
raise HTTPError(422, reason='You need to specify an artifact id')
else:
try:
artifact = Artifact(artifact_id)
except QiitaDBUnknownIDError:
raise HTTPError(404, reason='Artifact does not exist')
else:
if artifact.visibility != 'public':
raise HTTPError(404, reason='Artifact is not public. If '
'this is a mistake contact: '
'*****@*****.**')
else:
to_download = self._list_artifact_files_nginx(artifact)
if not to_download:
raise HTTPError(422, reason='Nothing to download. If '
'this is a mistake contact: '
'*****@*****.**')
else:
self._write_nginx_file_list(to_download)
zip_fn = 'artifact_%s_%s.zip' % (
artifact_id, datetime.now().strftime(
'%m%d%y-%H%M%S'))
self._set_nginx_headers(zip_fn)
self.finish()
def approve_study(self, study, user, callback):
"""Approves the current study if and only if the current user is admin
Parameters
----------
study : Study
The current study object
user : User
The current user object
callback : function
The callback function to call with the results once the processing
is done
"""
if _approve(user.level):
pd_id = int(self.get_argument('pd_id'))
pd = Artifact(pd_id)
pd.visibility = 'private'
_propagate_visibility(pd)
msg = "Processed data approved"
msg_level = "success"
else:
msg = ("The current user does not have permission to approve "
"the processed data")
msg_level = "danger"
callback((msg, msg_level, "processed_data_tab", pd_id, None))
def test_download(self):
# check failures
response = self.get('/public_artifact_download/')
self.assertEqual(response.code, 422)
self.assertEqual(response.reason, 'You need to specify an artifact id')
response = self.get('/public_artifact_download/?artifact_id=10000')
self.assertEqual(response.code, 404)
self.assertEqual(response.reason, 'Artifact does not exist')
response = self.get('/public_artifact_download/?artifact_id=3')
self.assertEqual(response.code, 404)
self.assertEqual(
response.reason, 'Artifact is not public. If this is '
'a mistake contact: [email protected]')
# check success
Artifact(5).visibility = 'public'
response = self.get('/public_artifact_download/?artifact_id=5')
self.assertEqual(response.code, 200)
exp = ('- [0-9]* /protected/processed_data/'
'1_study_1001_closed_reference_otu_table.biom '
'processed_data/1_study_1001_closed_reference_otu_table.biom\n'
'- [0-9]* /protected/templates/1_prep_1_[0-9]*-[0-9]*.txt '
'mapping_files/5_mapping_file.txt')
self.assertRegex(response.body.decode('ascii'), exp)
def post(self, preprocessed_data_id):
# make sure user is admin and can therefore actually submit to VAMPS
if self.current_user.level != 'admin':
raise HTTPError(
403, "User %s cannot submit to VAMPS!" % self.current_user.id)
msg = ''
msg_level = 'success'
preprocessed_data = Artifact(preprocessed_data_id)
state = preprocessed_data.submitted_to_vamps_status()
demux = [
path for _, path, ftype in preprocessed_data.get_filepaths()
if ftype == 'preprocessed_demux'
]
demux_length = len(demux)
if state in ('submitting', 'success'):
msg = "Cannot resubmit! Current state is: %s" % state
msg_level = 'danger'
elif demux_length != 1:
msg = "The study doesn't have demux files or have too many" % state
msg_level = 'danger'
else:
channel = self.current_user.id
job_id = submit(channel, submit_to_VAMPS,
int(preprocessed_data_id))
self.render('compute_wait.html',
job_id=job_id,
title='VAMPS Submission',
completion_redirect='/compute_complete/%s' % job_id)
return
self.display_template(preprocessed_data_id, msg, msg_level)
def get(self, analysis_id):
analysis_id = int(analysis_id.split("/")[0])
analysis = Analysis(analysis_id)
check_analysis_access(self.current_user, analysis)
jobres = defaultdict(list)
for jobject in analysis.jobs:
results = []
for res in jobject.results:
name = basename(res)
if name.startswith('index'):
name = basename(dirname(res)).replace('_', ' ')
results.append((res, name))
jobres[jobject.datatype].append((jobject.command[0], results))
dropped_samples = analysis.dropped_samples
dropped = defaultdict(list)
for proc_data_id, samples in viewitems(dropped_samples):
if not samples:
continue
proc_data = Artifact(proc_data_id)
data_type = proc_data.data_type
dropped[data_type].append(
(proc_data.study.title, len(samples), ', '.join(samples)))
self.render("analysis_results.html",
analysis_id=analysis_id,
jobres=jobres,
aname=analysis.name,
dropped=dropped,
basefolder=get_db_files_base_dir())
def post(self, preprocessed_data_id):
user = self.current_user
# make sure user is admin and can therefore actually submit to EBI
if user.level != 'admin':
raise HTTPError(403, "User %s cannot submit to EBI!" %
user.id)
submission_type = self.get_argument('submission_type')
if submission_type not in ['ADD', 'MODIFY']:
raise HTTPError(403, "User: %s, %s is not a recognized submission "
"type" % (user.id, submission_type))
msg = ''
msg_level = 'success'
study = Artifact(preprocessed_data_id).study
study_id = study.id
state = study.ebi_submission_status
if state == 'submitting':
msg = "Cannot resubmit! Current state is: %s" % state
msg_level = 'danger'
else:
channel = user.id
job_id = submit(channel, submit_to_ebi, int(preprocessed_data_id),
submission_type)
self.render('compute_wait.html',
job_id=job_id, title='EBI Submission',
completion_redirect=('/study/description/%s?top_tab='
'preprocessed_data_tab&sub_tab=%s'
% (study_id,
preprocessed_data_id)))
return
self.display_template(preprocessed_data_id, msg, msg_level)
def get(self):
# Format sel_data to get study IDs for the processed data
sel_data = defaultdict(dict)
proc_data_info = {}
sel_samps = self.current_user.default_analysis.samples
for pid, samps in viewitems(sel_samps):
proc_data = Artifact(pid)
sel_data[proc_data.study][pid] = samps
# Also get processed data info
parameters = proc_data.processing_parameters
reference = Reference(parameters.values['reference'])
proc_data_info[pid] = {
'processed_date': str(proc_data.timestamp),
'algorithm': parameters.command.name,
'reference_name': reference.name,
'reference_version': reference.version,
'sequence_filepath': reference.sequence_fp,
'taxonomy_filepath': reference.taxonomy_fp,
'tree_filepath': reference.tree_fp,
'data_type': proc_data.data_type
}
self.render("analysis_selected.html",
sel_data=sel_data,
proc_info=proc_data_info)
def test_artifact_post_req(self):
# Create new prep template to attach artifact to
pt = npt.assert_warns(
QiitaDBWarning, PrepTemplate.create,
pd.DataFrame({'new_col': {'1.SKD6.640190': 1}}), Study(1), '16S')
self._files_to_remove.extend([fp for _, fp in pt.get_filepaths()])
filepaths = {'raw_forward_seqs': 'uploaded_file.txt',
'raw_barcodes': 'update.txt'}
obs = artifact_post_req(
'*****@*****.**', filepaths, 'FASTQ', 'New Test Artifact', pt.id)
exp = {'status': 'success',
'message': ''}
self.assertEqual(obs, exp)
wait_for_prep_information_job(pt.id)
# Test importing an artifact
# Create new prep template to attach artifact to
pt = npt.assert_warns(
QiitaDBWarning, PrepTemplate.create,
pd.DataFrame({'new_col': {'1.SKD6.640190': 1}}), Study(1), '16S')
self._files_to_remove.extend([fp for _, fp in pt.get_filepaths()])
obs = artifact_post_req(
'*****@*****.**', {}, 'Demultiplexed', 'New Test Artifact 2',
pt.id, 3)
exp = {'status': 'success',
'message': ''}
self.assertEqual(obs, exp)
wait_for_prep_information_job(pt.id)
# Instantiate the artifact to make sure it was made and
# to clean the environment
a = Artifact(pt.artifact.id)
self._files_to_remove.extend([fp for _, fp, _ in a.filepaths])
def get(self):
# Format sel_data to get study IDs for the processed data
sel_data = defaultdict(dict)
proc_data_info = {}
sel_samps = self.current_user.default_analysis.samples
for aid, samples in viewitems(sel_samps):
a = Artifact(aid)
sel_data[a.study][aid] = samples
# Also get processed data info
processing_parameters = a.processing_parameters
if processing_parameters is None:
params = None
algorithm = None
else:
cmd = processing_parameters.command
params = processing_parameters.values
if 'reference' in params:
ref = Reference(params['reference'])
del params['reference']
params['reference_name'] = ref.name
params['reference_version'] = ref.version
algorithm = '%s (%s)' % (cmd.software.name, cmd.name)
proc_data_info[aid] = {
'processed_date': str(a.timestamp),
'algorithm': algorithm,
'data_type': a.data_type,
'params': params
}
self.render("analysis_selected.html", sel_data=sel_data,
proc_info=proc_data_info)
def process_artifact_handler_get_req(artifact_id):
"""Returns the information for the process artifact handler
Parameters
----------
artifact_id : int
The artifact to be processed
Returns
-------
dict of str
A dictionary containing the artifact information
{'status': str,
'message': str,
'name': str,
'type': str}
"""
artifact = Artifact(artifact_id)
return {
'status': 'success',
'message': '',
'name': artifact.name,
'type': artifact.artifact_type,
'study_id': artifact.study.id
}
def test_artifact_patch_request(self):
obs = artifact_patch_request('*****@*****.**', 'replace',
'/%d/name/' % self.artifact.id,
req_value='NEW_NAME')
exp = {'status': 'success', 'message': ''}
self.assertEqual(obs, exp)
self.assertEqual(Artifact(self.artifact.id).name, 'NEW_NAME')
def artifact_graph_get_req(artifact_id, direction, user_id):
"""Creates graphs of ancestor or descendant artifacts from given one
Parameters
----------
artifact_id : int
Artifact ID to get graph for
direction : {'ancestors', 'descendants'}
What direction to get the graph in
Returns
-------
dict of lists of tuples
A dictionary containing the edge list representation of the graph,
and the node labels. Formatted as:
{'status': status,
'message': message,
'edge_list': [(0, 1), (0, 2)...],
'node_labels': [(0, 'label0'), (1, 'label1'), ...]}
Notes
-----
Nodes are identified by the corresponding Artifact ID.
"""
access_error = check_access(Artifact(artifact_id).study.id, user_id)
if access_error:
return access_error
if direction == 'descendants':
G = Artifact(int(artifact_id)).descendants
elif direction == 'ancestors':
G = Artifact(int(artifact_id)).ancestors
else:
return {
'status': 'error',
'message': 'Unknown directon %s' % direction
}
node_labels = [(n.id, ' - '.join([n.name, n.artifact_type]))
for n in G.nodes()]
return {
'edge_list': [(n.id, m.id) for n, m in G.edges()],
'node_labels': node_labels,
'status': 'success',
'message': ''
}
def test_download(self):
# check success
response = self.get('/download/1')
self.assertEqual(response.code, 200)
self.assertEqual(response.body.decode('ascii'), (
"This installation of Qiita was not equipped with nginx, so it "
"is incapable of serving files. The file you attempted to "
"download is located at raw_data/1_s_G1_L001_sequences.fastq.gz"))
self.assertEqual(
response.headers['Content-Disposition'],
"attachment; filename=1_1_s_G1_L001_sequences.fastq.gz")
# other tests to validate the filename
response = self.get('/download/2')
self.assertEqual(
response.headers['Content-Disposition'],
"attachment; filename=1_1_s_G1_L001_sequences_barcodes.fastq.gz")
response = self.get('/download/3')
self.assertEqual(
response.headers['Content-Disposition'],
"attachment; filename=2_1_seqs.fna")
response = self.get('/download/18')
self.assertEqual(
response.headers['Content-Disposition'],
"attachment; filename=1_prep_1_19700101-000000.txt")
response = self.get('/download/22')
self.assertEqual(
response.headers['Content-Disposition'],
"attachment; filename=7_biom_table.biom")
# failure
response = self.get('/download/1000')
self.assertEqual(response.code, 403)
# directory
a = Artifact(1)
fd, fp = mkstemp(suffix='.html')
close(fd)
with open(fp, 'w') as f:
f.write('\n')
self._clean_up_files.append(fp)
dirpath = mkdtemp()
fd, fp2 = mkstemp(suffix='.txt', dir=dirpath)
close(fd)
with open(fp2, 'w') as f:
f.write('\n')
self._clean_up_files.append(dirpath)
a.set_html_summary(fp, support_dir=dirpath)
for x in a.filepaths:
if x['fp_type'] == 'html_summary_dir':
break
response = self.get('/download/%d' % x['fp_id'])
self.assertEqual(response.code, 200)
fp_name = basename(fp2)
dirname = basename(dirpath)
self.assertEqual(response.body.decode('ascii'),
"- 1 /protected/FASTQ/1/%s/%s FASTQ/1/%s/%s\n" % (
dirname, fp_name, dirname, fp_name))
def prep_template_graph_get_req(prep_id, user_id):
"""Returns graph of all artifacts created from the prep base artifact
Parameters
----------
prep_id : int
Prep template ID to get graph for
user_id : str
User making the request
Returns
-------
dict of lists of tuples
A dictionary containing the edge list representation of the graph,
and the node labels. Formatted as:
{'status': status,
'message': message,
'edge_list': [(0, 1), (0, 2)...],
'node_labels': [(0, 'label0'), (1, 'label1'), ...]}
Notes
-----
Nodes are identified by the corresponding Artifact ID.
"""
exists = _check_prep_template_exists(int(prep_id))
if exists['status'] != 'success':
return exists
prep = PrepTemplate(int(prep_id))
access_error = check_access(prep.study_id, user_id)
if access_error:
return access_error
# We should filter for only the public artifacts if the user
# doesn't have full access to the study
full_access = Study(prep.study_id).can_edit(User(user_id))
artifact = prep.artifact
if artifact is None:
return {'edges': [], 'nodes': [],
'status': 'success', 'message': ''}
G = artifact.descendants_with_jobs
nodes, edges, wf_id = get_network_nodes_edges(G, full_access)
# nodes returns [node_type, node_name, element_id]; here we are looking
# for the node_type == artifact, and check by the element/artifact_id if
# it's being deleted
artifacts_being_deleted = [a[2] for a in nodes if a[0] == 'artifact' and
Artifact(a[2]).being_deleted_by is not None]
return {'edges': edges,
'nodes': nodes,
'workflow': wf_id,
'status': 'success',
'artifacts_being_deleted': artifacts_being_deleted,
'message': ''}
def test_public(self):
response = self.get('/public/')
self.assertEqual(response.code, 422)
self.assertIn("You need to specify study_id or artifact_id",
response.body.decode('ascii'))
response = self.get('/public/?study_id=100')
self.assertEqual(response.code, 422)
self.assertIn("Study 100 doesn't exist", response.body.decode('ascii'))
response = self.get('/public/?artifact_id=100')
self.assertEqual(response.code, 422)
self.assertIn("Artifact 100 doesn't exist",
response.body.decode('ascii'))
response = self.get('/public/?artifact_id=1')
self.assertEqual(response.code, 422)
self.assertIn("Artifact 1 is not public",
response.body.decode('ascii'))
response = self.get('/public/?study_id=1')
self.assertEqual(response.code, 422)
self.assertIn("Not a public study", response.body.decode('ascii'))
# artifact 1 is the first artifact within Study 1
Artifact(1).visibility = 'public'
response = self.get('/public/?study_id=1')
self.assertEqual(response.code, 200)
response = self.get('/public/?artifact_id=1')
self.assertEqual(response.code, 200)
response = self.get('/public/?artifact_id=7')
self.assertEqual(response.code, 422)
self.assertIn("Artifact 7 is not public",
response.body.decode('ascii'))
# artifact 8 is part of an analysis
Artifact(8).visibility = 'public'
response = self.get('/public/?artifact_id=8')
self.assertEqual(response.code, 422)
self.assertIn("Artifact 8 doesn't belong to a study",
response.body.decode('ascii'))
