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_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, 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)
