def get(self):
study_id = self.get_argument('study_id')
study = to_int(study_id)
res = study_get_req(study, self.current_user.id)
study_info = res['study_info']
pdoi = [doi_linkifier([p]) for p in study_info['publication_doi']]
ppid = [pubmed_linkifier([p]) for p in study_info['publication_pid']]
email = '<a href="mailto:{email}">{name} ({affiliation})</a>'
pi = email.format(**study_info['principal_investigator'])
if study_info['lab_person']:
contact = email.format(**study_info['lab_person'])
else:
contact = None
share_access = (self.current_user.id in study_info['shared_with']
or self.current_user.id == study_info['owner'])
ebi_info = study_info['ebi_submission_status']
ebi_study_accession = study_info['ebi_study_accession']
if ebi_study_accession:
links = ''.join([
EBI_LINKIFIER.format(a) for a in ebi_study_accession.split(',')
])
ebi_info = '%s (%s)' % (links, study_info['ebi_submission_status'])
self.render('study_ajax/base_info.html',
study_info=study_info,
publications=', '.join(pdoi + ppid),
pi=pi,
contact=contact,
editable=res['editable'],
share_access=share_access,
ebi_info=ebi_info)
def get(self):
study_id = self.get_argument('study_id')
study = to_int(study_id)
res = study_get_req(study, self.current_user.id)
study_info = res['study_info']
pdoi = [doi_linkifier([p]) for p in study_info['publication_doi']]
ppid = [pubmed_linkifier([p]) for p in study_info['publication_pid']]
email = '<a href="mailto:{email}">{name} ({affiliation})</a>'
pi = email.format(**study_info['principal_investigator'])
if study_info['lab_person']:
contact = email.format(**study_info['lab_person'])
else:
contact = None
share_access = (self.current_user.id in study_info['shared_with'] or
self.current_user.id == study_info['owner'])
ebi_info = study_info['ebi_submission_status']
ebi_study_accession = study_info['ebi_study_accession']
if ebi_study_accession:
links = ''.join([EBI_LINKIFIER.format(a)
for a in ebi_study_accession.split(',')])
ebi_info = '%s (%s)' % (links, study_info['ebi_submission_status'])
self.render('study_ajax/base_info.html',
study_info=study_info, publications=', '.join(pdoi + ppid),
pi=pi, contact=contact, editable=res['editable'],
share_access=share_access, ebi_info=ebi_info)
def render(self, study):
study_info = study.info
id = study.id
abstract = study_info['study_abstract']
description = study_info['study_description']
pmids = ", ".join([pubmed_linkifier([pmid]) for pmid in study.pmids])
princ_inv = StudyPerson(study_info['principal_investigator_id'])
pi_link = study_person_linkifier((princ_inv.email, princ_inv.name))
number_samples_promised = study_info['number_samples_promised']
number_samples_collected = study_info['number_samples_collected']
metadata_complete = study_info['metadata_complete']
data_types = sorted(viewitems(get_data_types()), key=itemgetter(1))
# Retrieve the files from the uploads folder, so the user can choose
# the sample template of the study. Filter them to only include the
# ones that ends with 'txt' or 'tsv'.
files = [f for _, f in get_files_from_uploads_folders(str(study.id))
if f.endswith(('txt', 'tsv'))]
# If the sample template exists, retrieve all its filepaths
if SampleTemplate.exists(study.id):
sample_templates = SampleTemplate(study.id).get_filepaths()
else:
# If the sample template does not exist, just pass an empty list
sample_templates = []
# Check if the request came from a local source
is_local_request = is_localhost(self.request.headers['host'])
# The user can choose the sample template only if the study is
# sandboxed or the current user is an admin
show_select_sample = (
study.status == 'sandbox' or self.current_user.level == 'admin')
# Ebi information
ebi_status = study.ebi_submission_status
ebi_accession = study.ebi_study_accession
if ebi_accession:
ebi_accession = (EBI_LINKIFIER.format(ebi_accession))
return self.render_string(
"study_description_templates/study_information_tab.html",
abstract=abstract,
description=description,
id=id,
pmids=pmids,
principal_investigator=pi_link,
number_samples_promised=number_samples_promised,
number_samples_collected=number_samples_collected,
metadata_complete=metadata_complete,
show_select_sample=show_select_sample,
files=files,
study_id=study.id,
sample_templates=sample_templates,
is_local_request=is_local_request,
data_types=data_types,
ebi_status=ebi_status,
ebi_accession=ebi_accession)
def get(self, ignore):
user = self.get_argument('user')
visibility = self.get_argument('visibility')
echo = int(self.get_argument('sEcho'))
if user != self.current_user.id:
raise HTTPError(403, reason='Unauthorized search!')
if visibility not in ['user', 'public']:
raise HTTPError(400, reason='Not a valid visibility')
info = generate_study_list(self.current_user, visibility)
# linkifying data
len_info = len(info)
for i in range(len_info):
info[i]['shared'] = ", ".join([
study_person_linkifier(element)
for element in info[i]['shared']
])
ppid = [pubmed_linkifier([p]) for p in info[i]['publication_pid']]
pdoi = [doi_linkifier([p]) for p in info[i]['publication_doi']]
del info[i]['publication_pid']
del info[i]['publication_doi']
info[i]['pubs'] = ', '.join(ppid + pdoi)
info[i]['pi'] = study_person_linkifier(info[i]['pi'])
info[i]['ebi_info'] = info[i]['ebi_submission_status']
ebi_study_accession = info[i]['ebi_study_accession']
if ebi_study_accession:
info[i]['ebi_info'] = '%s (%s)' % (''.join([
EBI_LINKIFIER.format(a)
for a in ebi_study_accession.split(',')
]), info[i]['ebi_submission_status'])
# build the table json
results = {
"sEcho": echo,
"iTotalRecords": len_info,
"iTotalDisplayRecords": len_info,
"aaData": info
}
# return the json in compact form to save transmit size
self.write(dumps(results, separators=(',', ':')))
def get(self, ignore):
user = self.get_argument('user')
visibility = self.get_argument('visibility')
echo = int(self.get_argument('sEcho'))
if user != self.current_user.id:
raise HTTPError(403, reason='Unauthorized search!')
if visibility not in ['user', 'public']:
raise HTTPError(400, reason='Not a valid visibility')
info = generate_study_list(self.current_user, visibility)
# linkifying data
len_info = len(info)
for i in range(len_info):
info[i]['shared'] = ", ".join([study_person_linkifier(element)
for element in info[i]['shared']])
ppid = [pubmed_linkifier([p]) for p in info[i]['publication_pid']]
pdoi = [doi_linkifier([p]) for p in info[i]['publication_doi']]
del info[i]['publication_pid']
del info[i]['publication_doi']
info[i]['pubs'] = ', '.join(ppid + pdoi)
info[i]['pi'] = study_person_linkifier(info[i]['pi'])
info[i]['ebi_info'] = info[i]['ebi_submission_status']
ebi_study_accession = info[i]['ebi_study_accession']
if ebi_study_accession:
info[i]['ebi_info'] = '%s (%s)' % (
''.join([EBI_LINKIFIER.format(a)
for a in ebi_study_accession.split(',')]),
info[i]['ebi_submission_status'])
# build the table json
results = {
"sEcho": echo,
"iTotalRecords": len_info,
"iTotalDisplayRecords": len_info,
"aaData": info
}
# return the json in compact form to save transmit size
self.write(dumps(results, separators=(',', ':')))
def get(self, ignore):
user = self.get_argument('user')
query = self.get_argument('query')
search_type = self.get_argument('search_type')
echo = int(self.get_argument('sEcho'))
if user != self.current_user.id:
raise HTTPError(403, 'Unauthorized search!')
if search_type not in ['user', 'public']:
raise HTTPError(400, 'Not a valid search type')
if query:
# Search for samples matching the query
search = QiitaStudySearch()
try:
search(query, self.current_user)
study_proc, proc_samples, _ = search.filter_by_processed_data()
except ParseException:
self.clear()
self.set_status(400)
self.write('Malformed search query. Please read "search help" '
'and try again.')
return
except QiitaDBIncompatibleDatatypeError as e:
self.clear()
self.set_status(400)
searchmsg = ''.join(e)
self.write(searchmsg)
return
except Exception as e:
# catch any other error as generic server error
self.clear()
self.set_status(500)
self.write("Server error during search. Please try again "
"later")
LogEntry.create('Runtime', str(e),
info={'User': self.current_user.id,
'query': query})
return
else:
study_proc = proc_samples = None
info = _build_study_info(self.current_user, search_type, study_proc,
proc_samples)
# linkifying data
len_info = len(info)
for i in range(len_info):
info[i]['shared'] = ", ".join([study_person_linkifier(element)
for element in info[i]['shared']])
ppid = [pubmed_linkifier([p]) for p in info[i]['publication_pid']]
pdoi = [doi_linkifier([p]) for p in info[i]['publication_doi']]
del info[i]['publication_pid']
del info[i]['publication_doi']
info[i]['pubs'] = ', '.join(ppid + pdoi)
info[i]['pi'] = study_person_linkifier(info[i]['pi'])
info[i]['ebi_info'] = info[i]['ebi_submission_status']
ebi_study_accession = info[i]['ebi_study_accession']
if ebi_study_accession:
info[i]['ebi_info'] = '%s (%s)' % (
''.join([EBI_LINKIFIER.format(a)
for a in ebi_study_accession.split(',')]),
info[i]['ebi_submission_status'])
# build the table json
results = {
"sEcho": echo,
"iTotalRecords": len_info,
"iTotalDisplayRecords": len_info,
"aaData": info
}
# return the json in compact form to save transmit size
self.write(dumps(results, separators=(',', ':')))
def render(self, study):
study_info = study.info
id = study.id
abstract = study_info['study_abstract']
description = study_info['study_description']
publications = []
for doi, pmid in study.publications:
if doi is not None:
publications.append(doi_linkifier([doi]))
if pmid is not None:
publications.append(pubmed_linkifier([pmid]))
publications = ", ".join(publications)
princ_inv = StudyPerson(study_info['principal_investigator_id'])
pi_link = study_person_linkifier((princ_inv.email, princ_inv.name))
number_samples_promised = study_info['number_samples_promised']
number_samples_collected = study_info['number_samples_collected']
metadata_complete = study_info['metadata_complete']
data_types = sorted(viewitems(get_data_types()), key=itemgetter(1))
# Retrieve the files from the uploads folder, so the user can choose
# the sample template of the study. Filter them to only include the
# ones that ends with 'txt' or 'tsv'.
files = [
f for _, f in get_files_from_uploads_folders(str(study.id))
if f.endswith(('txt', 'tsv'))
]
# If the sample template exists, retrieve all its filepaths
if SampleTemplate.exists(study.id):
sample_templates = SampleTemplate(study.id).get_filepaths()
else:
# If the sample template does not exist, just pass an empty list
sample_templates = []
# Check if the request came from a local source
is_local_request = is_localhost(self.request.headers['host'])
# The user can choose the sample template only if the study is
# sandboxed or the current user is an admin
show_select_sample = (study.status == 'sandbox'
or self.current_user.level == 'admin')
# EBI information
ebi_status = study.ebi_submission_status
ebi_accession = study.ebi_study_accession
if ebi_accession:
ebi_accession = (EBI_LINKIFIER.format(ebi_accession))
return self.render_string(
"study_description_templates/study_information_tab.html",
abstract=abstract,
description=description,
id=id,
publications=publications,
principal_investigator=pi_link,
number_samples_promised=number_samples_promised,
number_samples_collected=number_samples_collected,
metadata_complete=metadata_complete,
show_select_sample=show_select_sample,
files=files,
study_id=study.id,
sample_templates=sample_templates,
is_local_request=is_local_request,
data_types=data_types,
ebi_status=ebi_status,
ebi_accession=ebi_accession)
def get(self, ignore):
user = self.get_argument('user')
query = self.get_argument('query')
search_type = self.get_argument('search_type')
echo = int(self.get_argument('sEcho'))
if user != self.current_user.id:
raise HTTPError(403, 'Unauthorized search!')
if search_type not in ['user', 'public']:
raise HTTPError(400, 'Not a valid search type')
if query:
# Search for samples matching the query
search = QiitaStudySearch()
try:
search(query, self.current_user)
study_proc, proc_samples, _ = search.filter_by_processed_data()
except ParseException:
self.clear()
self.set_status(400)
self.write('Malformed search query. Please read "search help" '
'and try again.')
return
except QiitaDBIncompatibleDatatypeError as e:
self.clear()
self.set_status(400)
searchmsg = ''.join(e)
self.write(searchmsg)
return
except Exception as e:
# catch any other error as generic server error
self.clear()
self.set_status(500)
self.write("Server error during search. Please try again "
"later")
LogEntry.create('Runtime',
str(e),
info={
'User': self.current_user.id,
'query': query
})
return
else:
study_proc = proc_samples = None
info = _build_study_info(self.current_user, search_type, study_proc,
proc_samples)
# linkifying data
len_info = len(info)
for i in range(len_info):
info[i]['shared'] = ", ".join([
study_person_linkifier(element)
for element in info[i]['shared']
])
ppid = [pubmed_linkifier([p]) for p in info[i]['publication_pid']]
pdoi = [doi_linkifier([p]) for p in info[i]['publication_doi']]
del info[i]['publication_pid']
del info[i]['publication_doi']
info[i]['pubs'] = ', '.join(ppid + pdoi)
info[i]['pi'] = study_person_linkifier(info[i]['pi'])
info[i]['ebi_info'] = info[i]['ebi_submission_status']
ebi_study_accession = info[i]['ebi_study_accession']
if ebi_study_accession:
info[i]['ebi_info'] = '%s (%s)' % (''.join([
EBI_LINKIFIER.format(a)
for a in ebi_study_accession.split(',')
]), info[i]['ebi_submission_status'])
# build the table json
results = {
"sEcho": echo,
"iTotalRecords": len_info,
"iTotalDisplayRecords": len_info,
"aaData": info
}
# return the json in compact form to save transmit size
self.write(dumps(results, separators=(',', ':')))
info[i]['shared'] = ", ".join([study_person_linkifier(element)
for element in info[i]['shared']])
ppid = [pubmed_linkifier([p]) for p in info[i]['publication_pid']]
pdoi = [doi_linkifier([p]) for p in info[i]['publication_doi']]
del info[i]['publication_pid']
del info[i]['publication_doi']
info[i]['pubs'] = ', '.join(ppid + pdoi)
info[i]['pi'] = study_person_linkifier(info[i]['pi'])
info[i]['ebi_info'] = info[i]['ebi_submission_status']
ebi_study_accession = info[i]['ebi_study_accession']
if ebi_study_accession:
info[i]['ebi_info'] = '%s (%s)' % (
''.join([EBI_LINKIFIER.format(a)
for a in ebi_study_accession.split(',')]),
info[i]['ebi_submission_status'])
>>>>>>> 405cbef0c9f71c620da95a0c1ba6c7d3d588b3ed
# build the table json
results = {
"sEcho": echo,
"iTotalRecords": len(info),
"iTotalDisplayRecords": len(info),
"aaData": info
}
# return the json in compact form to save transmit size
self.write(dumps(results, separators=(',', ':')))
def render(self, study_id, preprocessed_data):
user = self.current_user
ppd_id = preprocessed_data.id
vamps_status = preprocessed_data.is_submitted_to_vamps
filepaths = preprocessed_data.filepaths
is_local_request = is_localhost(self.request.headers['host'])
show_ebi_btn = user.level == "admin"
processing_status, processing_status_msg = \
get_artifact_processing_status(preprocessed_data)
processed_data = sorted([pd.id for pd in preprocessed_data.children])
# Get all the ENA terms for the investigation type
ontology = Ontology(convert_to_id('ENA', 'ontology'))
# make "Other" show at the bottom of the drop down menu
ena_terms = []
for v in sorted(ontology.terms):
if v != 'Other':
ena_terms.append('<option value="%s">%s</option>' % (v, v))
ena_terms.append('<option value="Other">Other</option>')
# New Type is for users to add a new user-defined investigation type
user_defined_terms = ontology.user_defined_terms + ['New Type']
# ppd can only have 1 prep template
prep_template = preprocessed_data.prep_templates[0]
# this block might seem wrong but is here due to a possible
# pathological case that we used to have in the system: preprocessed
# data without valid prep_templates
prep_templates = preprocessed_data.prep_templates
if len(prep_templates) == 1:
prep_template_id = prep_template.id
raw_data_id = prep_template.artifact.id
inv_type = prep_template.investigation_type or "None selected"
else:
prep_template_id = None
raw_data_id = None
inv_type = "None Selected"
process_params = {
param.id: (generate_param_str(param), param.name)
for param in Command(3).default_parameter_sets
}
# We just need to provide an ID for the default parameters,
# so we can initialize the interface
default_params = min(process_params.keys())
ebi_link = None
if preprocessed_data.is_submitted_to_ebi:
ebi_link = EBI_LINKIFIER.format(
Study(study_id).ebi_study_accession)
return self.render_string(
"study_description_templates/preprocessed_data_info_tab.html",
ppd_id=ppd_id,
show_ebi_btn=show_ebi_btn,
filepaths=filepaths,
is_local_request=is_local_request,
prep_template_id=prep_template_id,
raw_data_id=raw_data_id,
inv_type=inv_type,
ena_terms=ena_terms,
vamps_status=vamps_status,
user_defined_terms=user_defined_terms,
process_params=process_params,
default_params=default_params,
study_id=preprocessed_data.study.id,
processing_status=processing_status,
processing_status_msg=processing_status_msg,
processed_data=processed_data,
ebi_link=ebi_link)
def render(self, study, prep_template, full_access, ena_terms,
user_defined_terms):
user = self.current_user
is_local_request = is_localhost(self.request.headers['host'])
template_fps = []
qiime_fps = []
# Unfortunately, both the prep template and the qiime mapping files
# have the sample type. The way to differentiate them is if we have
# the substring 'qiime' in the basename
for id_, fp in prep_template.get_filepaths():
if 'qiime' in basename(fp):
qiime_fps.append(
download_link_or_path(
is_local_request, fp, id_, 'Qiime mapping'))
else:
template_fps.append(
download_link_or_path(
is_local_request, fp, id_, 'Prep template'))
# Since get_filepaths returns the paths sorted from newest to oldest,
# the first in both list is the latest one
current_template_fp = template_fps[0]
current_qiime_fp = qiime_fps[0]
if len(template_fps) > 1:
show_old_templates = True
old_templates = template_fps[1:]
else:
show_old_templates = False
old_templates = None
if len(qiime_fps) > 1:
show_old_qiime_fps = True
old_qiime_fps = qiime_fps[1:]
else:
show_old_qiime_fps = False
old_qiime_fps = None
filetypes = sorted(
((ft, ft_id, fp_type_by_ft[ft])
for ft, ft_id in viewitems(get_filetypes())),
key=itemgetter(1))
files = [f for _, f in get_files_from_uploads_folders(str(study.id))]
other_studies_rd = sorted(viewitems(
_get_accessible_raw_data(user)))
# A prep template can be modified if its status is sandbox
is_editable = prep_template.status == 'sandbox'
raw_data_id = prep_template.raw_data
preprocess_options = []
preprocessed_data = None
show_preprocess_btn = True
no_preprocess_msg = None
if raw_data_id:
rd = RawData(raw_data_id)
rd_ft = rd.filetype
# If the prep template has a raw data associated, it can be
# preprocessed. Retrieve the pre-processing parameters
if rd_ft in ('SFF', 'FASTA'):
param_iter = Preprocessed454Params.iter()
elif rd_ft == 'FASTQ':
param_iter = [pip for pip in PreprocessedIlluminaParams.iter()
if pip.values['barcode_type'] != 'not-barcoded']
elif rd_ft == 'per_sample_FASTQ':
param_iter = [pip for pip in PreprocessedIlluminaParams.iter()
if pip.values['barcode_type'] == 'not-barcoded']
else:
raise NotImplementedError(
"Pre-processing of %s files currently not supported."
% rd_ft)
preprocess_options = []
for param in param_iter:
text = ("<b>%s:</b> %s" % (k, v)
for k, v in viewitems(param.values))
preprocess_options.append((param.id,
param.name,
'<br>'.join(text)))
preprocessed_data = prep_template.preprocessed_data
# Check if the template have all the required columns for
# preprocessing
raw_data_files = rd.get_filepaths()
if len(raw_data_files) == 0:
show_preprocess_btn = False
no_preprocess_msg = (
"Preprocessing disabled because there are no files "
"linked with the Raw Data")
else:
if prep_template.data_type() in TARGET_GENE_DATA_TYPES:
raw_forward_fps = [fp for _, fp, ftype in raw_data_files
if ftype == 'raw_forward_seqs']
key = ('demultiplex_multiple' if len(raw_forward_fps) > 1
else 'demultiplex')
missing_cols = prep_template.check_restrictions(
[PREP_TEMPLATE_COLUMNS_TARGET_GENE[key]])
if rd_ft == 'per_sample_FASTQ':
show_preprocess_btn = 'run_prefix' not in missing_cols
else:
show_preprocess_btn = len(missing_cols) == 0
no_preprocess_msg = None
if not show_preprocess_btn:
no_preprocess_msg = (
"Preprocessing disabled due to missing columns in "
"the prep template: %s" % ', '.join(missing_cols))
preprocessing_status = prep_template.preprocessing_status
ebi_link = None
if prep_template.is_submitted_to_ebi:
ebi_link = EBI_LINKIFIER.format(study.ebi_study_accession)
return self.render_string(
"study_description_templates/prep_template_info_tab.html",
pt_id=prep_template.id,
study_id=study.id,
raw_data=raw_data_id,
current_template_fp=current_template_fp,
current_qiime_fp=current_qiime_fp,
show_old_templates=show_old_templates,
old_templates=old_templates,
show_old_qiime_fps=show_old_qiime_fps,
old_qiime_fps=old_qiime_fps,
filetypes=filetypes,
files=files,
other_studies_rd=other_studies_rd,
prep_template=prep_template,
study=study,
ena_terms=ena_terms,
user_defined_terms=user_defined_terms,
investigation_type=prep_template.investigation_type,
is_editable=is_editable,
preprocess_options=preprocess_options,
preprocessed_data=preprocessed_data,
preprocessing_status=preprocessing_status,
show_preprocess_btn=show_preprocess_btn,
no_preprocess_msg=no_preprocess_msg,
ebi_link=ebi_link)
def get(self):
study_id = self.get_argument("study_id", None)
artifact_id = self.get_argument("artifact_id", None)
if study_id is None and artifact_id is None:
raise HTTPError(
422, reason='You need to specify study_id or artifact_id')
self.finish()
elif study_id is not None:
try:
study = Study(int(study_id))
except QiitaDBUnknownIDError:
raise HTTPError(422,
reason="Study %s doesn't exist" % study_id)
self.finish()
artifact_ids = [
a.id for a in study.artifacts() if a.visibility == 'public'
]
else:
try:
artifact = Artifact(int(artifact_id))
except QiitaDBUnknownIDError:
raise HTTPError(422,
reason="Artifact %s doesn't exist" %
artifact_id)
self.finish()
if artifact.visibility != 'public':
raise HTTPError(422,
reason="Artifact %s is not public" %
artifact_id)
self.finish()
study = artifact.study
if study is None:
raise HTTPError(422,
reason="Artifact %s doesn't belong to "
"a study" % artifact_id)
self.finish()
artifact_ids = [artifact.id]
if study.status != 'public':
raise HTTPError(422, reason='Not a public study')
self.finish()
study_info = study.info
study_info['study_id'] = study.id
study_info['study_title'] = study.title
study_info['shared_with'] = [s.id for s in study.shared_with]
study_info['status'] = study.status
study_info['ebi_study_accession'] = study.ebi_study_accession
study_info['ebi_submission_status'] = study.ebi_submission_status
# Clean up StudyPerson objects to string for display
email = '<a href="mailto:{email}">{name} ({affiliation})</a>'
pi = study.info['principal_investigator']
study_info['principal_investigator'] = email.format(
**{
'name': pi.name,
'email': pi.email,
'affiliation': pi.affiliation
})
study_info['owner'] = study.owner.id
# Add needed info that is not part of the initial info pull
study_info['publications'] = []
for pub, is_doi in study.publications:
if is_doi:
study_info['publications'].append(pubmed_linkifier([pub]))
else:
study_info['publications'].append(doi_linkifier([pub]))
study_info['publications'] = ', '.join(study_info['publications'])
if study_info['ebi_study_accession']:
links = ''.join([
EBI_LINKIFIER.format(a)
for a in study_info['ebi_study_accession'].split(',')
])
study_info['ebi_study_accession'] = '%s (%s)' % (
links, study_info['ebi_submission_status'])
self.render("public.html",
study_info=study_info,
artifacts_info=get_artifacts_information(
artifact_ids, False))
def render(self, study, prep_template, full_access, ena_terms,
user_defined_terms):
user = self.current_user
is_local_request = is_localhost(self.request.headers['host'])
template_fps = []
qiime_fps = []
# Unfortunately, both the prep template and the qiime mapping files
# have the sample type. The way to differentiate them is if we have
# the substring 'qiime' in the basename
for id_, fp in prep_template.get_filepaths():
if 'qiime' in basename(fp):
qiime_fps.append(
download_link_or_path(is_local_request, fp, id_,
'Qiime mapping'))
else:
template_fps.append(
download_link_or_path(is_local_request, fp, id_,
'Prep template'))
# Since get_filepaths returns the paths sorted from newest to oldest,
# the first in both list is the latest one
current_template_fp = template_fps[0]
current_qiime_fp = qiime_fps[0]
if len(template_fps) > 1:
show_old_templates = True
old_templates = template_fps[1:]
else:
show_old_templates = False
old_templates = None
if len(qiime_fps) > 1:
show_old_qiime_fps = True
old_qiime_fps = qiime_fps[1:]
else:
show_old_qiime_fps = False
old_qiime_fps = None
filetypes = sorted(((ft, ft_id, fp_type_by_ft[ft])
for ft, ft_id in viewitems(get_artifact_types())),
key=itemgetter(1))
files = [f for _, f in get_files_from_uploads_folders(str(study.id))]
other_studies_rd = sorted(viewitems(_get_accessible_raw_data(user)))
# A prep template can be modified if its status is sandbox
is_editable = prep_template.status == 'sandbox'
raw_data = prep_template.artifact
preprocess_options = []
preprocessed_data = None
show_preprocess_btn = True
no_preprocess_msg = None
preprocessing_status = 'Not processed'
preprocessing_status_msg = ""
if raw_data:
raw_data_ft = raw_data.artifact_type
# If the prep template has a raw data associated, it can be
# preprocessed. Retrieve the pre-processing parameters
# Hardcoding the command ids until the interface is refactored
if raw_data_ft in ('SFF', 'FASTA'):
param_iter = Command(2).default_parameter_sets
elif raw_data_ft == 'FASTQ':
param_iter = [
p for p in Command(1).default_parameter_sets
if p.values['barcode_type'] != 'not-barcoded'
]
elif raw_data_ft == 'per_sample_FASTQ':
param_iter = [
p for p in Command(1).default_parameter_sets
if p.values['barcode_type'] == 'not-barcoded'
]
else:
raise NotImplementedError(
"Pre-processing of %s files currently not supported." %
raw_data_ft)
preprocess_options = []
for param in param_iter:
text = ("<b>%s:</b> %s" % (k, v)
for k, v in viewitems(param.values))
preprocess_options.append(
(param.id, param.name, '<br>'.join(text)))
preprocessed_data = raw_data.children
# Check if the template have all the required columns for
# preprocessing
raw_data_files = raw_data.filepaths
if len(raw_data_files) == 0:
show_preprocess_btn = False
no_preprocess_msg = (
"Preprocessing disabled because there are no files "
"linked with the Raw Data")
else:
if prep_template.data_type() in TARGET_GENE_DATA_TYPES:
raw_forward_fps = [
fp for _, fp, ftype in raw_data_files
if ftype == 'raw_forward_seqs'
]
key = ('demultiplex_multiple'
if len(raw_forward_fps) > 1 else 'demultiplex')
missing_cols = prep_template.check_restrictions(
[PREP_TEMPLATE_COLUMNS_TARGET_GENE[key]])
if raw_data_ft == 'per_sample_FASTQ':
show_preprocess_btn = 'run_prefix' not in missing_cols
else:
show_preprocess_btn = len(missing_cols) == 0
no_preprocess_msg = None
if not show_preprocess_btn:
no_preprocess_msg = (
"Preprocessing disabled due to missing columns in "
"the prep template: %s" % ', '.join(missing_cols))
# Check the processing status
preprocessing_status, preprocessing_status_msg = \
get_artifact_processing_status(raw_data)
ebi_link = None
if prep_template.is_submitted_to_ebi:
ebi_link = EBI_LINKIFIER.format(study.ebi_study_accession)
return self.render_string(
"study_description_templates/prep_template_info_tab.html",
raw_data=raw_data,
current_template_fp=current_template_fp,
current_qiime_fp=current_qiime_fp,
show_old_templates=show_old_templates,
old_templates=old_templates,
show_old_qiime_fps=show_old_qiime_fps,
old_qiime_fps=old_qiime_fps,
filetypes=filetypes,
files=files,
other_studies_rd=other_studies_rd,
prep_template=prep_template,
study=study,
ena_terms=ena_terms,
user_defined_terms=user_defined_terms,
investigation_type=prep_template.investigation_type,
is_editable=is_editable,
preprocess_options=preprocess_options,
preprocessed_data=preprocessed_data,
preprocessing_status=preprocessing_status,
preprocessing_status_message=preprocessing_status_msg,
show_preprocess_btn=show_preprocess_btn,
no_preprocess_msg=no_preprocess_msg,
ebi_link=ebi_link)
def render(self, study_id, preprocessed_data):
user = self.current_user
ppd_id = preprocessed_data.id
vamps_status = preprocessed_data.is_submitted_to_vamps
filepaths = preprocessed_data.filepaths
is_local_request = is_localhost(self.request.headers['host'])
show_ebi_btn = user.level == "admin"
processing_status, processing_status_msg = \
get_artifact_processing_status(preprocessed_data)
processed_data = sorted([pd.id for pd in preprocessed_data.children])
# Get all the ENA terms for the investigation type
ontology = Ontology(convert_to_id('ENA', 'ontology'))
# make "Other" show at the bottom of the drop down menu
ena_terms = []
for v in sorted(ontology.terms):
if v != 'Other':
ena_terms.append('<option value="%s">%s</option>' % (v, v))
ena_terms.append('<option value="Other">Other</option>')
# New Type is for users to add a new user-defined investigation type
user_defined_terms = ontology.user_defined_terms + ['New Type']
# ppd can only have 1 prep template
prep_template = preprocessed_data.prep_templates[0]
# this block might seem wrong but is here due to a possible
# pathological case that we used to have in the system: preprocessed
# data without valid prep_templates
prep_templates = preprocessed_data.prep_templates
if len(prep_templates) == 1:
prep_template_id = prep_template.id
raw_data_id = prep_template.artifact.id
inv_type = prep_template.investigation_type or "None selected"
else:
prep_template_id = None
raw_data_id = None
inv_type = "None Selected"
process_params = {param.id: (generate_param_str(param), param.name)
for param in Command(3).default_parameter_sets}
# We just need to provide an ID for the default parameters,
# so we can initialize the interface
default_params = min(process_params.keys())
ebi_link = None
if preprocessed_data.is_submitted_to_ebi:
ebi_link = EBI_LINKIFIER.format(
Study(study_id).ebi_study_accession)
return self.render_string(
"study_description_templates/preprocessed_data_info_tab.html",
ppd_id=ppd_id,
show_ebi_btn=show_ebi_btn,
filepaths=filepaths,
is_local_request=is_local_request,
prep_template_id=prep_template_id,
raw_data_id=raw_data_id,
inv_type=inv_type,
ena_terms=ena_terms,
vamps_status=vamps_status,
user_defined_terms=user_defined_terms,
process_params=process_params,
default_params=default_params,
study_id=preprocessed_data.study.id,
processing_status=processing_status,
processing_status_msg=processing_status_msg,
processed_data=processed_data,
ebi_link=ebi_link)
def render(self, study_id, preprocessed_data):
user = self.current_user
ppd_id = preprocessed_data.id
vamps_status = preprocessed_data.submitted_to_vamps_status()
filepaths = preprocessed_data.get_filepaths()
is_local_request = is_localhost(self.request.headers['host'])
show_ebi_btn = user.level == "admin"
processing_status = convert_text_html(
preprocessed_data.processing_status)
processed_data = sorted(preprocessed_data.processed_data)
# Get all the ENA terms for the investigation type
ontology = Ontology(convert_to_id('ENA', 'ontology'))
# make "Other" show at the bottom of the drop down menu
ena_terms = []
for v in sorted(ontology.terms):
if v != 'Other':
ena_terms.append('<option value="%s">%s</option>' % (v, v))
ena_terms.append('<option value="Other">Other</option>')
# New Type is for users to add a new user-defined investigation type
user_defined_terms = ontology.user_defined_terms + ['New Type']
if PrepTemplate.exists(preprocessed_data.prep_template):
prep_template_id = preprocessed_data.prep_template
prep_template = PrepTemplate(prep_template_id)
raw_data_id = prep_template.raw_data
inv_type = prep_template.investigation_type or "None Selected"
else:
prep_template_id = None
raw_data_id = None
inv_type = "None Selected"
process_params = {param.id: (generate_param_str(param), param.name)
for param in ProcessedSortmernaParams.iter()}
# We just need to provide an ID for the default parameters,
# so we can initialize the interface
default_params = 1
ebi_link = None
if preprocessed_data.is_submitted_to_ebi:
ebi_link = EBI_LINKIFIER.format(
Study(study_id).ebi_study_accession)
return self.render_string(
"study_description_templates/preprocessed_data_info_tab.html",
ppd_id=ppd_id,
show_ebi_btn=show_ebi_btn,
filepaths=filepaths,
is_local_request=is_local_request,
prep_template_id=prep_template_id,
raw_data_id=raw_data_id,
inv_type=inv_type,
ena_terms=ena_terms,
vamps_status=vamps_status,
user_defined_terms=user_defined_terms,
process_params=process_params,
default_params=default_params,
study_id=preprocessed_data.study,
processing_status=processing_status,
processed_data=processed_data,
ebi_link=ebi_link)
