def get(self, message="", msg_level=None):
all_emails_except_current = yield Task(self._get_all_emails)
all_emails_except_current.remove(self.current_user.id)
avail_meta = SampleTemplate.metadata_headers() +\
get_table_cols("study")
self.render('list_studies.html',
availmeta=avail_meta,
all_emails_except_current=all_emails_except_current,
message=message,
msg_level=msg_level)
def get(self):
userobj = self.current_user
analysis = Analysis(int(self.get_argument("aid")))
# make sure user has access to the analysis
check_analysis_access(userobj, analysis)
# get the dictionaries of selected samples and data types
selproc_data, selsamples = self._selected_parser(analysis)
self.render('search_studies.html', aid=analysis.id,
selsamples=selsamples, selproc_data=selproc_data,
counts={}, fullcounts={}, searchmsg="", query="",
results={}, availmeta=SampleTemplate.metadata_headers() +
get_table_cols("study"))
def display_template(self, preprocessed_data_id, msg, msg_level):
"""Simple function to avoid duplication of code"""
preprocessed_data_id = int(preprocessed_data_id)
try:
preprocessed_data = PreprocessedData(preprocessed_data_id)
except QiitaDBUnknownIDError:
raise HTTPError(404, "PreprocessedData %d does not exist!" %
preprocessed_data_id)
else:
user = User(self.current_user)
if user.level != 'admin':
raise HTTPError(403, "No permissions of admin, "
"get/EBISubmitHandler: %s!" % user.id)
prep_template = PrepTemplate(preprocessed_data.prep_template)
sample_template = SampleTemplate(preprocessed_data.study)
study = Study(preprocessed_data.study)
stats = [('Number of samples', len(prep_template)),
('Number of metadata headers',
len(sample_template.metadata_headers()))]
demux = [path for _, path, ftype in preprocessed_data.get_filepaths()
if ftype == 'preprocessed_demux']
demux_length = len(demux)
if not demux_length:
msg = ("Study does not appear to have demultiplexed "
"sequences associated")
msg_level = 'danger'
elif demux_length > 1:
msg = ("Study appears to have multiple demultiplexed files!")
msg_level = 'danger'
elif demux_length == 1:
demux_file = demux[0]
demux_file_stats = demux_stats(demux_file)
stats.append(('Number of sequences', demux_file_stats.n))
msg_level = 'success'
self.render('ebi_submission.html', user=self.current_user,
study_title=study.title, stats=stats, message=msg,
study_id=study.id, level=msg_level,
preprocessed_data_id=preprocessed_data_id,
investigation_type=prep_template.investigation_type)
def display_template(self, preprocessed_data_id, msg, msg_level):
"""Simple function to avoid duplication of code"""
preprocessed_data_id = int(preprocessed_data_id)
try:
preprocessed_data = PreprocessedData(preprocessed_data_id)
except QiitaDBUnknownIDError:
raise HTTPError(404, "PreprocessedData %d does not exist!" %
preprocessed_data_id)
else:
user = self.current_user
if user.level != 'admin':
raise HTTPError(403, "No permissions of admin, "
"get/EBISubmitHandler: %s!" % user.id)
prep_template = PrepTemplate(preprocessed_data.prep_template)
sample_template = SampleTemplate(preprocessed_data.study)
study = Study(preprocessed_data.study)
stats = [('Number of samples', len(prep_template)),
('Number of metadata headers',
len(sample_template.metadata_headers()))]
demux = [path for _, path, ftype in preprocessed_data.get_filepaths()
if ftype == 'preprocessed_demux']
demux_length = len(demux)
if not demux_length:
msg = ("Study does not appear to have demultiplexed "
"sequences associated")
msg_level = 'danger'
elif demux_length > 1:
msg = ("Study appears to have multiple demultiplexed files!")
msg_level = 'danger'
elif demux_length == 1:
demux_file = demux[0]
demux_file_stats = demux_stats(demux_file)
stats.append(('Number of sequences', demux_file_stats.n))
msg_level = 'success'
self.render('ebi_submission.html',
study_title=study.title, stats=stats, message=msg,
study_id=study.id, level=msg_level,
preprocessed_data_id=preprocessed_data_id,
investigation_type=prep_template.investigation_type)
def get(self):
userobj = self.current_user
analysis = Analysis(int(self.get_argument("aid")))
# make sure user has access to the analysis
check_analysis_access(userobj, analysis)
# get the dictionaries of selected samples and data types
selproc_data, selsamples = self._selected_parser(analysis)
self.render('search_studies.html',
aid=analysis.id,
selsamples=selsamples,
selproc_data=selproc_data,
counts={},
fullcounts={},
searchmsg="",
query="",
results={},
availmeta=SampleTemplate.metadata_headers() +
get_table_cols("study"))
def post(self):
user = self.current_user
action = self.get_argument("action")
# set required template variables
results = {}
meta_headers = []
counts = {}
fullcounts = {}
query = ""
searchmsg = ""
selsamples = {}
selproc_data = {}
# get analysis and selected samples if exists, or create if necessary
if action == "create":
name = self.get_argument('name')
description = self.get_argument('description')
analysis = Analysis.create(user, name, description)
analysis_id = analysis.id
# set to second step since this page is second step in workflow
analysis.step = SELECT_SAMPLES
# fill example studies by running query for specific studies
search = QiitaStudySearch()
def_query = 'study_id = 1 OR study_id = 2 OR study_id = 3'
results, meta_headers = search(def_query, user)
results, counts, fullcounts = self._parse_search_results(
results, selsamples, meta_headers)
else:
analysis_id = int(self.get_argument("analysis-id"))
analysis = Analysis(analysis_id)
check_analysis_access(user, analysis)
selproc_data, selsamples = self._selected_parser(analysis)
# run through action requested
if action == "search":
search = QiitaStudySearch()
query = str(self.get_argument("query"))
try:
results, meta_headers = search(query, user)
except ParseException:
searchmsg = "Malformed search query, please read search help."
except QiitaDBIncompatibleDatatypeError as e:
searchmsg = ''.join(e)
if not results and not searchmsg:
searchmsg = "No results found."
else:
results, counts, fullcounts = self._parse_search_results(
results, selsamples, meta_headers)
elif action == "select":
analysis.add_samples(self._parse_form_select())
# rebuild the selected from database to reflect changes
selproc_data, selsamples = self._selected_parser(analysis)
elif action == "deselect":
proc_data, samples = self._parse_form_deselect()
if proc_data:
analysis.remove_samples(proc_data=proc_data)
if samples:
analysis.remove_samples(samples=samples)
if not proc_data and not samples:
searchmsg = "Must select samples to remove from analysis!"
# rebuild the selected from database to reflect changes
selproc_data, selsamples = self._selected_parser(analysis)
self.render('search_studies.html', user=user, aid=analysis_id,
results=results, meta_headers=meta_headers,
selsamples=selsamples, selproc_data=selproc_data,
counts=counts, fullcounts=fullcounts, searchmsg=searchmsg,
query=query, availmeta=SampleTemplate.metadata_headers() +
get_table_cols("study"))
def post(self):
user = self.current_user
action = self.get_argument("action")
# set required template variables
results = {}
meta_headers = []
counts = {}
fullcounts = {}
query = ""
searchmsg = ""
selsamples = {}
selproc_data = {}
# get analysis and selected samples if exists, or create if necessary
if action == "create":
name = self.get_argument('name')
description = self.get_argument('description')
analysis = Analysis.create(User(user), name, description)
analysis_id = analysis.id
# set to second step since this page is second step in workflow
analysis.step = SELECT_SAMPLES
# fill example studies by running query for specific studies
search = QiitaStudySearch()
def_query = 'study_id = 1 OR study_id = 2 OR study_id = 3'
results, meta_headers = search(def_query, user)
results, counts, fullcounts = self._parse_search_results(
results, selsamples, meta_headers)
else:
analysis_id = int(self.get_argument("analysis-id"))
check_analysis_access(User(user), analysis_id)
analysis = Analysis(analysis_id)
selproc_data, selsamples = self._selected_parser(analysis)
# run through action requested
if action == "search":
search = QiitaStudySearch()
query = str(self.get_argument("query"))
try:
results, meta_headers = search(query, user)
except ParseException:
searchmsg = "Malformed search query, please read search help."
except QiitaDBIncompatibleDatatypeError as e:
searchmsg = ''.join(e)
if not results and not searchmsg:
searchmsg = "No results found."
else:
results, counts, fullcounts = self._parse_search_results(
results, selsamples, meta_headers)
elif action == "select":
analysis.add_samples(self._parse_form_select())
# rebuild the selected from database to reflect changes
selproc_data, selsamples = self._selected_parser(analysis)
elif action == "deselect":
proc_data, samples = self._parse_form_deselect()
if proc_data:
analysis.remove_samples(proc_data=proc_data)
if samples:
analysis.remove_samples(samples=samples)
if not proc_data and not samples:
searchmsg = "Must select samples to remove from analysis!"
# rebuild the selected from database to reflect changes
selproc_data, selsamples = self._selected_parser(analysis)
self.render('search_studies.html',
user=user,
aid=analysis_id,
results=results,
meta_headers=meta_headers,
selsamples=selsamples,
selproc_data=selproc_data,
counts=counts,
fullcounts=fullcounts,
searchmsg=searchmsg,
query=query,
availmeta=SampleTemplate.metadata_headers() +
get_table_cols("study"))
