[973924]: / qiita_pet / handlers / api_proxy / studies.py

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# -----------------------------------------------------------------------------
# Copyright (c) 2014--, The Qiita Development Team.
#
# Distributed under the terms of the BSD 3-clause License.
#
# The full license is in the file LICENSE, distributed with this software.
# -----------------------------------------------------------------------------
from collections import defaultdict
from json import dumps, loads
from qiita_core.exceptions import IncompetentQiitaDeveloperError
from qiita_core.util import execute_as_transaction
from qiita_core.qiita_settings import r_client
from qiita_db.artifact import Artifact
from qiita_db.sql_connection import TRN
from qiita_db.user import User
from qiita_db.study import Study
from qiita_db.exceptions import QiitaDBColumnError, QiitaDBLookupError
from qiita_db.metadata_template.prep_template import PrepTemplate
from qiita_db.processing_job import ProcessingJob
from qiita_db.software import Software, Parameters
from qiita_db.util import (supported_filepath_types,
get_files_from_uploads_folders)
from qiita_pet.handlers.api_proxy.util import check_access
STUDY_KEY_FORMAT = 'study_%s'
def data_types_get_req():
"""Returns data types available in the system
Returns
-------
dict
Data types information in the form
{'status': status,
'message': message,
'data_types': list of str}
status can be success, warning, or error depending on result
message has the warnings or errors
data_types is the list of available data types in the system
"""
return {'status': 'success',
'message': '',
'data_types': Study.all_data_types()}
def study_get_req(study_id, user_id):
"""Returns information available for the given study
Parameters
----------
study_id : int
Study id to get prep template info for
user_id : str
User requesting the info
Returns
-------
dict
Data types information in the form
{'status': status,
'message': message,
'info': dict of objects
status can be success, warning, or error depending on result
message has the warnings or errors
info contains study information seperated by data type, in the form
{col_name: value, ...} with value being a string, int, or list of
strings or ints
"""
access_error = check_access(study_id, user_id)
if access_error:
return access_error
# Can only pass ids over API, so need to instantiate object
study = Study(study_id)
study_info = study.info
# Add needed info that is not part of the initial info pull
study_info['publication_doi'] = []
study_info['publication_pid'] = []
for pub, is_doi in study.publications:
if is_doi:
study_info['publication_doi'].append(pub)
else:
study_info['publication_pid'].append(pub)
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
study_info['public_raw_download'] = study.public_raw_download
study_info['notes'] = study.notes
study_info['autoloaded'] = study.autoloaded
# Clean up StudyPerson objects to string for display
pi = study_info['principal_investigator']
study_info['principal_investigator'] = {
'name': pi.name,
'email': pi.email,
'affiliation': pi.affiliation}
lab_person = study_info['lab_person']
if lab_person:
study_info['lab_person'] = {
'name': lab_person.name,
'email': lab_person.email,
'affiliation': lab_person.affiliation}
samples = study.sample_template
study_info['num_samples'] = 0 if samples is None else len(list(samples))
study_info['owner'] = study.owner.id
# Study.has_access no_public=True, will return True only if the user_id is
# the owner of the study or if the study is shared with the user_id; this
# with study.public_raw_download will define has_access_to_raw_data
study_info['has_access_to_raw_data'] = study.has_access(
User(user_id), True) or study.public_raw_download
study_info['show_biom_download_button'] = len(
study.artifacts(artifact_type='BIOM')) != 0
study_info['show_raw_download_button'] = any([
True for pt in study.prep_templates() if pt.artifact is not None])
# getting study processing status from redis
processing = False
study_info['level'] = ''
study_info['message'] = ''
job_info = r_client.get(STUDY_KEY_FORMAT % study_id)
if job_info:
job_info = defaultdict(lambda: '', loads(job_info))
job_id = job_info['job_id']
job = ProcessingJob(job_id)
job_status = job.status
processing = job_status not in ('success', 'error')
if processing:
study_info['level'] = 'info'
study_info['message'] = 'This study is currently being processed'
elif job_status == 'error':
study_info['level'] = 'danger'
study_info['message'] = job.log.msg.replace('\n', '</br>')
else:
study_info['level'] = job_info['alert_type']
study_info['message'] = job_info['alert_msg'].replace(
'\n', '</br>')
return {'status': 'success',
'message': '',
'study_info': study_info,
'editable': study.can_edit(User(user_id))}
@execute_as_transaction
def study_delete_req(study_id, user_id):
"""Delete a given study
Parameters
----------
study_id : int
Study id to delete
user_id : str
User requesting the deletion
Returns
-------
dict
Status of deletion, in the format
{status: status,
message: message}
"""
access_error = check_access(study_id, user_id)
if access_error:
return access_error
qiita_plugin = Software.from_name_and_version('Qiita', 'alpha')
cmd = qiita_plugin.get_command('delete_study')
params = Parameters.load(cmd, values_dict={'study': study_id})
job = ProcessingJob.create(User(user_id), params, True)
# Store the job id attaching it to the sample template id
r_client.set(STUDY_KEY_FORMAT % study_id,
dumps({'job_id': job.id}))
job.submit()
return {'status': 'success', 'message': ''}
def study_prep_get_req(study_id, user_id):
"""Gives a summary of each prep template attached to the study
Parameters
----------
study_id : int
Study id to get prep template info for
user_id : str
User id requesting the prep templates
Returns
-------
dict of list of dict
prep template information seperated by data type, in the form
{data_type: [{prep 1 info dict}, ....], ...}
"""
access_error = check_access(study_id, user_id)
if access_error:
return access_error
study = Study(int(study_id))
prep_info = {dtype: [] for dtype in study.data_types}
editable = study.can_edit(User(user_id))
with TRN:
sql = """SELECT prep_template_id, pt.name as name, data_type,
artifact_id,
creation_timestamp, modification_timestamp, visibility,
(SELECT COUNT(sample_id)
FROM qiita.prep_template_sample
WHERE prep_template_id = spt.prep_template_id)
as total_samples,
(SELECT COUNT(sample_id)
FROM qiita.prep_template_sample
WHERE prep_template_id = spt.prep_template_id
AND ebi_experiment_accession != '')
as ebi_experiment
FROM qiita.study_prep_template spt
LEFT JOIN qiita.prep_template pt USING (prep_template_id)
LEFT JOIN qiita.data_type USING (data_type_id)
LEFT JOIN qiita.artifact USING (artifact_id)
LEFT JOIN qiita.visibility USING (visibility_id)
WHERE study_id = %s
GROUP BY prep_template_id, pt.name, data_type, artifact_id,
creation_timestamp, modification_timestamp,
visibility
ORDER BY creation_timestamp"""
TRN.add(sql, [study_id])
for row in TRN.execute_fetchindex():
row = dict(row)
if row['visibility'] != 'public' and not editable:
continue
# for those preps that have no artifact
if row['visibility'] is None:
row['visibility'] = 'sandbox'
info = {
'name': row['name'],
'id': row['prep_template_id'],
'status': row['visibility'],
'total_samples': row['total_samples'],
'creation_timestamp': row['creation_timestamp'],
'modification_timestamp': row['modification_timestamp'],
'start_artifact': None,
'start_artifact_id': None,
'youngest_artifact': None,
'num_artifact_children': 0,
'youngest_artifact_name': None,
'youngest_artifact_type': None,
'ebi_experiment': row['ebi_experiment']
}
if row['artifact_id'] is not None:
start_artifact = Artifact(row['artifact_id'])
youngest_artifact = start_artifact.youngest_artifact
info['start_artifact'] = start_artifact.artifact_type
info['start_artifact_id'] = row['artifact_id']
info['num_artifact_children'] = len(start_artifact.children)
info['youngest_artifact_name'] = youngest_artifact.name
info['youngest_artifact_type'] = \
youngest_artifact.artifact_type
info['youngest_artifact'] = '%s - %s' % (
youngest_artifact.name, youngest_artifact.artifact_type)
prep_info[row['data_type']].append(info)
return {'status': 'success',
'message': '',
'info': prep_info}
def study_files_get_req(user_id, study_id, prep_template_id, artifact_type):
"""Returns the uploaded files for the study id categorized by artifact_type
It retrieves the files uploaded for the given study and tries to
guess on how those files should be added to the artifact of the given
type. Uses information on the prep template to try to do a better guess.
Parameters
----------
user_id : str
The id of the user making the request
study_id : int
The study id
prep_template_id : int
The prep template id
artifact_type : str
The artifact type
Returns
-------
dict of {str: object}
A dict of the form {'status': str,
'message': str,
'remaining': list of str,
'file_types': list of (str, bool, list of str),
'num_prefixes': int}
where 'status' is a string specifying whether the query is successfull,
'message' is a human-readable description of the error (optional),
'remaining' is the list of files that could not be categorized,
'file_types' is a list of the available filetypes, if it is required
or not and the list of categorized files for the given artifact type
and 'num_prefixes' is the number of different run prefix values in
the given prep template.
"""
supp_file_types = supported_filepath_types(artifact_type)
selected = []
remaining = []
message = []
pt = PrepTemplate(prep_template_id)
if pt.study_id != study_id:
raise IncompetentQiitaDeveloperError(
"The requested prep id (%d) doesn't belong to the study "
"(%d)" % (pt.study_id, study_id))
uploaded = get_files_from_uploads_folders(study_id)
pt = pt.to_dataframe()
ftypes_if = (ft.startswith('raw_') for ft, _ in supp_file_types
if ft != 'raw_sff')
if any(ftypes_if) and 'run_prefix' in pt.columns:
prep_prefixes = tuple(set(pt['run_prefix']))
num_prefixes = len(prep_prefixes)
# sorting prefixes by length to avoid collisions like: 100 1002
# 10003
prep_prefixes = sorted(prep_prefixes, key=len, reverse=True)
# group files by prefix
sfiles = defaultdict(list)
for p in prep_prefixes:
to_remove = []
for fid, f, _ in uploaded:
if f.startswith(p):
sfiles[p].append(f)
to_remove.append((fid, f))
uploaded = [x for x in uploaded if x not in to_remove]
inuse = [y for x in sfiles.values() for y in x]
remaining.extend([f for _, f, _ in uploaded if f not in inuse])
supp_file_types_len = len(supp_file_types)
for k, v in sfiles.items():
len_files = len(v)
# if the number of files in the k group is larger than the
# available columns add to the remaining group, if not put them in
# the selected group
if len_files > supp_file_types_len:
remaining.extend(v)
message.append("'%s' has %d matches." % (k, len_files))
else:
v.sort()
selected.append(v)
else:
num_prefixes = 0
remaining = [f for _, f, _ in uploaded]
# get file_types, format: filetype, required, list of files
file_types = [(t, req, [x[i] for x in selected if i+1 <= len(x)])
for i, (t, req) in enumerate(supp_file_types)]
# Create a list of artifacts that the user has access to, in case that
# he wants to import the files from another artifact
user = User(user_id)
artifact_options = []
user_artifacts = user.user_artifacts(artifact_type=artifact_type)
study = Study(study_id)
if study not in user_artifacts:
user_artifacts[study] = study.artifacts(artifact_type=artifact_type)
for study, artifacts in user_artifacts.items():
study_label = "%s (%d)" % (study.title, study.id)
for a in artifacts:
artifact_options.append(
(a.id, "%s - %s (%d)" % (study_label, a.name, a.id)))
message = ('' if not message
else '\n'.join(['Check these run_prefix:'] + message))
return {'status': 'success',
'message': message,
'remaining': sorted(remaining),
'file_types': file_types,
'num_prefixes': num_prefixes,
'artifacts': artifact_options}
def study_tags_request():
"""Retrieve available study tags
Returns
-------
dict of {str, str}
A dictionary with the following keys:
- status: str, whether if the request is successful or not
- message: str, if the request is unsuccessful, a human readable error
- tags: {level: value, ..., ...}
"""
return {'status': 'success',
'message': '',
'tags': Study.get_tags()}
def study_get_tags_request(user_id, study_id):
"""Retrieve available study tags for study_id
Parameters
----------
user_id : int
The id of the user performing the operation
study_id : int
The id of the study on which we will be performing the operation
Returns
-------
dict of {str, str}
A dictionary with the following keys:
- status: str, whether if the request is successful or not
- message: str, if the request is unsuccessful, a human readable error
- tags: [value, ..., ...]
"""
access_error = check_access(study_id, user_id)
if access_error:
return access_error
study = Study(study_id)
return {'status': 'success',
'message': '',
'tags': study.tags}
def study_patch_request(user_id, study_id,
req_op, req_path, req_value=None, req_from=None):
"""Modifies an attribute of the study object
Parameters
----------
user_id : int
The id of the user performing the patch operation
study_id : int
The id of the study on which we will be performing the patch operation
req_op : str
The operation to perform on the study
req_path : str
The attribute to patch
req_value : str, optional
The value that needs to be modified
req_from : str, optional
The original path of the element
Returns
-------
dict of {str, str}
A dictionary with the following keys:
- status: str, whether if the request is successful or not
- message: str, if the request is unsuccessful, a human readable error
"""
if req_op == 'replace':
req_path = [v for v in req_path.split('/') if v]
if len(req_path) != 1:
return {'status': 'error',
'message': 'Incorrect path parameter'}
attribute = req_path[0]
# Check if the user actually has access to the study
access_error = check_access(study_id, user_id)
if access_error:
return access_error
study = Study(study_id)
if attribute == 'tags':
message = study.update_tags(User(user_id), req_value)
return {'status': 'success',
'message': message}
elif attribute == 'toggle_public_raw_download':
try:
study.public_raw_download = not study.public_raw_download
return {'status': 'success',
'message': 'Successfully updated public_raw_download'}
except (QiitaDBLookupError, QiitaDBColumnError) as e:
return {'status': 'error',
'message': str(e)}
else:
# We don't understand the attribute so return an error
return {'status': 'error',
'message': 'Attribute "%s" not found. '
'Please, check the path parameter' % attribute}
else:
return {'status': 'error',
'message': 'Operation "%s" not supported. '
'Current supported operations: replace' % req_op}