def substring(column, delimeter, session):
if session.bind.dialect.name == 'sqlite':
return func.iif(
func.instr(column, delimeter) > 0,
func.substr(column, 1,
func.instr(column, delimeter) - 1), column)
elif session.bind.dialect.name == 'mysql':
return func.substring_index(column, delimeter, 1)
def search_around(timestamp: T.number, ):
get_logger().info('/search_around %s', timestamp)
utc_timestamp = timestamp # old 'timestamp' name is legacy
# TODO meh. use count/pagination instead?
delta_back = timedelta(hours=3).total_seconds()
delta_front = timedelta(minutes=2).total_seconds()
# TODO not sure about delta_front.. but it also serves as quick hack to accomodate for all the truncations etc
return search_common(
url=
'http://dummy.org', # NOTE: not used in the where query (below).. perhaps need to get rid of this
where=lambda table, url: between(
func.strftime(
'%s', # NOTE: it's tz aware, e.g. would distinguish +05:00 vs -03:00
# this is a bit fragile, relies on cachew internal timestamp format, e.g.
# 2020-11-10T06:13:03.196376+00:00 Europe/London
func.substr(
table.c.dt,
1, # substr is 1-indexed
# instr finds the first match, but if not found it defaults to 0.. which we hack by concatting with ' '
func.instr(
func.cast(table.c.dt, types.Unicode).op('||')
(' '), ' ') - 1,
# for f***s sake.. seems that cast is necessary otherwise it tries to treat ' ' as datetime???
)) - literal(utc_timestamp),
literal(-delta_back),
literal(delta_front),
),
)
def _order_by(self, query, joins, sort_joins, sort_field, sort_desc):
query, joins = super(AffiliationView, self)._order_by(query, joins, sort_joins, sort_field, sort_desc)
if sort_field.name == 'code':
# sort by the code field, which has entries like:
# 1
# 1.1
# 1.2
# 1.10
# 1.11
# 10.1
#
# these are hard to sort, because they don't sort correctly
# numerically or lexicographically. Instead, we treat them
# as parts of dotted-quad IP addresses and use mysql's inet_aton
# to sort them.
sort_field = func.inet_aton(
func.if_(func.instr(sort_field, '.') > 0,
func.concat(sort_field, '.0.0'), # eg. 10.2
func.concat(sort_field, '.0.0.0'))) # eg. 10
if sort_desc:
sort_field = desc(sort_field)
query = query.order_by(None).order_by(sort_field)
return query, joins
def _order_by(self, query, joins, sort_joins, sort_field, sort_desc):
query, joins = super(AffiliationView,
self)._order_by(query, joins, sort_joins,
sort_field, sort_desc)
if sort_field.name == 'code':
# sort by the code field, which has entries like:
# 1
# 1.1
# 1.2
# 1.10
# 1.11
# 10.1
#
# these are hard to sort, because they don't sort correctly
# numerically or lexicographically. Instead, we treat them
# as parts of dotted-quad IP addresses and use mysql's inet_aton
# to sort them.
sort_field = func.inet_aton(
func.if_(
func.instr(sort_field, '.') > 0,
func.concat(sort_field, '.0.0'), # eg. 10.2
func.concat(sort_field, '.0.0.0'))) # eg. 10
if sort_desc:
sort_field = desc(sort_field)
query = query.order_by(None).order_by(sort_field)
return query, joins
def substring(self, session, column, delimeter):
"""
https://stackoverflow.com/a/57763081
"""
if session.bind.dialect.name == 'sqlite':
return func.substr(column, func.instr(column, delimeter) + 1)
elif session.bind.dialect.name == 'mysql':
return func.substring_index(column, delimeter, -1)
def department_for_keyword(keyword):
db_session = DB_Session_Factory.get_db_session()
best_dep_keyword = None
for dep_keyword in db_session.query(Department_Keyword).filter(func.instr(keyword, Department_Keyword.keyword) > 0):
if best_dep_keyword is None or len(best_dep_keyword.keyword) < len(dep_keyword.keyword):
best_dep_keyword = dep_keyword
department = None
if best_dep_keyword is not None:
department = db_session.query(Department).get(best_dep_keyword.department_id)
return department
def genes(page: int, limit: int):
"""index route for genes"""
search = request.args.get("search", type=str)
gene_query = GeneAlias.query
if search:
gene_query = gene_query.filter(func.instr(GeneAlias.name, search))
total_count = gene_query.with_entities(
func.count(func.distinct(GeneAlias.alias_id))).scalar()
results = gene_query.limit(limit).offset(page * (limit or 0)).all()
if expects_json(request):
return paginated_response(results, page, total_count, limit)
elif expects_csv(request):
return csv_response(results)
abort(
406,
"Only 'text/csv' and 'application/json' HTTP accept headers supported")
def list_directories(dbs, account, bucket_name, dirname, order_by="dname"):
if dirname is None:
dirname = ""
dirname_len = len(dirname) + 1
results = (dbs.query(
BucketObject.account,
BucketObject.bucket_name,
func.substr(
BucketObject.name,
dirname_len,
func.instr(func.substr(BucketObject.name, dirname_len), "/"),
).label("dname"),
func.sum(BucketObject.size).label("size"),
func.max(BucketObject.mtime).label("mtime"),
).filter_by(account=account, bucket_name=bucket_name).filter(
BucketObject.name.like(dirname + "%")).group_by(
BucketObject.account, BucketObject.bucket_name,
"dname").order_by(order_by))
return results
def list_datasets(page: int, limit: int) -> Response:
order_by = request.args.get("order_by", type=str)
allowed_columns = [
"dataset_type",
"condition",
"notes",
"updated",
"updated_by",
"linked_files",
"tissue_sample_type",
"participant_codename",
"family_codename",
]
if order_by is None:
order = None # system default, likely dataset_id
elif order_by == "updated_by":
order = models.Dataset.updated_by.username
elif order_by == "linked_files":
order = models.DatasetFile.path
elif order_by == "tissue_sample_type":
order = models.TissueSample.tissue_sample_type
elif order_by == "participant_codename":
order = models.Participant.participant_codename
elif order_by == "family_codename":
order = models.Family.family_codename
elif order_by in allowed_columns:
# Since this is an elif clause, we know special cases are already handled above.
# order_by has been restricted to a known list, so we can safely use getattr
order = getattr(models.Dataset, order_by)
else:
abort(400, description=f"order_by must be one of {allowed_columns}")
if order:
order_dir = request.args.get("order_dir", type=str)
if order_dir == "desc":
order = order.desc()
elif order_dir == "asc":
order = order.asc()
else:
abort(400, description="order_dir must be either 'asc' or 'desc'")
filters = []
notes = request.args.get("notes", type=str)
if notes:
filters.append(func.instr(models.Dataset.notes, notes))
updated_by = request.args.get("updated_by", type=str)
if updated_by:
filters.append(func.instr(models.User.username, updated_by))
linked_files = request.args.get("linked_files", type=str)
if linked_files:
filters.append(func.instr(models.DatasetFile.path, linked_files))
participant_codename = request.args.get("participant_codename", type=str)
if participant_codename:
filters.append(
func.instr(models.Participant.participant_codename,
participant_codename))
family_codename = request.args.get("family_codename", type=str)
if family_codename:
filters.append(
func.instr(models.Family.family_codename, family_codename))
dataset_type = request.args.get("dataset_type", type=str)
if dataset_type:
filters.append(models.Dataset.dataset_type.in_(
dataset_type.split(",")))
condition = request.args.get("condition", type=str)
if condition:
filters.append(
filter_in_enum_or_abort(models.Dataset.condition,
models.DatasetCondition, condition))
tissue_sample_type = request.args.get("tissue_sample_type", type=str)
if tissue_sample_type:
filters.append(
filter_in_enum_or_abort(
models.TissueSample.tissue_sample_type,
models.TissueSampleType,
tissue_sample_type,
))
updated = request.args.get("updated", type=str)
if updated:
filters.append(filter_updated_or_abort(models.Dataset.updated,
updated))
if app.config.get("LOGIN_DISABLED") or current_user.is_admin:
user_id = request.args.get("user")
else:
user_id = current_user.user_id
if user_id: # Regular user or assumed identity, return only permitted datasets
query = (models.Dataset.query.options(
contains_eager(models.Dataset.tissue_sample).contains_eager(
models.TissueSample.participant).contains_eager(
models.Participant.family),
contains_eager(models.Dataset.tissue_sample).contains_eager(
models.TissueSample.participant).joinedload(
models.Participant.institution),
contains_eager(models.Dataset.files),
contains_eager(models.Dataset.updated_by),
).join(models.Dataset.tissue_sample).join(
models.TissueSample.participant
).join(models.Participant.family).outerjoin(models.Dataset.files).join(
models.Dataset.updated_by).join(models.groups_datasets_table).join(
models.users_groups_table,
models.groups_datasets_table.columns.group_id ==
models.users_groups_table.columns.group_id,
).filter(models.users_groups_table.columns.user_id == user_id,
*filters))
else: # Admin or LOGIN_DISABLED, authorized to query all datasets
query = (models.Dataset.query.options(
contains_eager(models.Dataset.tissue_sample).contains_eager(
models.TissueSample.participant).contains_eager(
models.Participant.family),
contains_eager(models.Dataset.tissue_sample).contains_eager(
models.TissueSample.participant).joinedload(
models.Participant.institution),
contains_eager(models.Dataset.files),
contains_eager(models.Dataset.updated_by),
).join(models.Dataset.tissue_sample).join(
models.TissueSample.participant).join(
models.Participant.family).outerjoin(
models.Dataset.files).join(
models.Dataset.updated_by).filter(*filters))
total_count = query.with_entities(
func.count(distinct(models.Dataset.dataset_id))).scalar()
datasets = query.order_by(order).limit(limit).offset(page *
(limit or 0)).all()
return jsonify({
"data": [{
**asdict(dataset),
"tissue_sample_type":
dataset.tissue_sample.tissue_sample_type,
"participant_codename":
dataset.tissue_sample.participant.participant_codename,
"participant_type":
dataset.tissue_sample.participant.participant_type,
"institution":
dataset.tissue_sample.participant.institution
and dataset.tissue_sample.participant.institution.institution,
"sex":
dataset.tissue_sample.participant.sex,
"family_codename":
dataset.tissue_sample.participant.family.family_codename,
"created_by":
dataset.tissue_sample.created_by.username,
"updated_by":
dataset.tissue_sample.updated_by.username,
} for dataset in datasets],
"page":
page if limit else 0,
"total_count":
total_count,
})
def list_datasets(page: int, limit: int) -> Response:
order_by = request.args.get("order_by", type=str)
allowed_columns = [
"dataset_type",
"condition",
"notes",
"updated",
"updated_by",
"linked_files",
"tissue_sample_type",
"participant_codename",
"family_codename",
"dataset_id",
]
if order_by is None:
order = None # system default, likely dataset_id
elif order_by == "updated_by":
order = models.User.username
elif order_by == "linked_files":
order = models.DatasetFile.path
elif order_by == "tissue_sample_type":
order = models.TissueSample.tissue_sample_type
elif order_by == "participant_codename":
order = models.Participant.participant_codename
elif order_by == "family_codename":
order = models.Family.family_codename
elif order_by in allowed_columns:
# Since this is an elif clause, we know special cases are already handled above.
# order_by has been restricted to a known list, so we can safely use getattr
order = getattr(models.Dataset, order_by)
else:
abort(400, description=f"order_by must be one of {allowed_columns}")
if order:
order_dir = request.args.get("order_dir", type=str)
if order_dir == "desc":
order = (order.desc(), models.Dataset.dataset_id.desc())
elif order_dir == "asc":
order = (order.asc(), models.Dataset.dataset_id.asc())
else:
abort(400, description="order_dir must be either 'asc' or 'desc'")
else:
# Default ordering
order = (models.Dataset.dataset_id, )
filters = []
notes = request.args.get("notes", type=str)
if notes:
filters.append(func.instr(models.Dataset.notes, notes))
updated_by = request.args.get("updated_by", type=str)
if updated_by:
filters.append(func.instr(models.User.username, updated_by))
dataset_id = request.args.get("dataset_id", type=str)
if dataset_id:
filters.append(models.Dataset.dataset_id == dataset_id)
linked_files = request.args.get("linked_files", type=str)
if linked_files:
filters.append(func.instr(models.DatasetFile.path, linked_files))
participant_codename = request.args.get("participant_codename", type=str)
if participant_codename:
filters.append(
func.instr(models.Participant.participant_codename,
participant_codename))
family_codename = request.args.get("family_codename", type=str)
if family_codename:
filters.append(
func.instr(models.Family.family_codename, family_codename))
dataset_type = request.args.get("dataset_type", type=str)
if dataset_type:
filters.append(models.Dataset.dataset_type.in_(
dataset_type.split(",")))
condition = request.args.get("condition", type=str)
if condition:
filters.append(
filter_in_enum_or_abort(models.Dataset.condition,
models.DatasetCondition, condition))
tissue_sample_type = request.args.get("tissue_sample_type", type=str)
if tissue_sample_type:
filters.append(
filter_in_enum_or_abort(
models.TissueSample.tissue_sample_type,
models.TissueSampleType,
tissue_sample_type,
))
updated = request.args.get("updated", type=str)
if updated:
filters.append(filter_updated_or_abort(models.Dataset.updated,
updated))
if app.config.get("LOGIN_DISABLED") or current_user.is_admin:
user_id = request.args.get("user")
else:
user_id = current_user.user_id
query = (
models.Dataset.query.options(
# tell the ORM that our join contains models we'd like to eager load, so it doesn't try to load them lazily
# in my test, this sped up loading time by ~3x
contains_eager(models.Dataset.tissue_sample).contains_eager(
models.TissueSample.participant
).contains_eager(models.Participant.family),
# eager load groups and files for speed, since we're not joining here, we can't order or search by these fields
# ordering is probably not a great loss b/c one-to-many makes it tough,
# but if we want to search, a solution might be a subquery (something similar to the filter in analyses.py:194-208)
# FE will have to be adjusted to disallow sorting/filtering on these fields
selectinload(models.Dataset.groups),
selectinload(models.Dataset.files),
)
# join with these since they are 1-to-1 and we want to order/filter on some of their fields
.join(models.Dataset.tissue_sample).join(
models.TissueSample.participant).join(
models.Participant.family).join(models.Dataset.updated_by))
if user_id: # Regular user or assumed identity, return only permitted datasets
query = (query.join(models.groups_datasets_table).join(
models.users_groups_table,
models.groups_datasets_table.columns.group_id ==
models.users_groups_table.columns.group_id,
).filter(models.users_groups_table.columns.user_id == user_id,
*filters))
else: # Admin or LOGIN_DISABLED, authorized to query all datasets
query = query.options(joinedload(
models.Dataset.groups)).filter(*filters)
group_code = request.args.get("group_code", type=str)
if group_code:
subquery = (models.Dataset.query.join(models.Dataset.groups).filter(
func.instr(models.Group.group_code, group_code)).with_entities(
models.Dataset.dataset_id).subquery())
query = query.filter(models.Dataset.dataset_id.in_(subquery))
# total_count always refers to the number of unique datasets in the database
total_count = query.with_entities(
func.count(distinct(models.Dataset.dataset_id))).scalar()
datasets = query.order_by(*order).limit(limit).offset(page *
(limit or 0)).all()
results = [{
**asdict(dataset),
"tissue_sample_type":
dataset.tissue_sample.tissue_sample_type,
"participant_aliases":
dataset.tissue_sample.participant.participant_aliases,
"participant_codename":
dataset.tissue_sample.participant.participant_codename,
"participant_type":
dataset.tissue_sample.participant.participant_type,
"institution":
dataset.tissue_sample.participant.institution
and dataset.tissue_sample.participant.institution.institution,
"sex":
dataset.tissue_sample.participant.sex,
"family_codename":
dataset.tissue_sample.participant.family.family_codename,
"family_aliases":
dataset.tissue_sample.participant.family.family_aliases,
"created_by":
dataset.created_by.username,
"updated_by":
dataset.updated_by.username,
"group_code": [group.group_code for group in dataset.groups],
} for dataset in datasets]
app.logger.debug(
"%d datasets to be returned; %d limit; %d total_count",
len(datasets),
limit or -1,
total_count,
)
if expects_json(request):
return paginated_response(results, page, total_count, limit)
elif expects_csv(request):
return csv_response(
results,
filename="datasets_report.csv",
colnames=[
"family_codename",
"participant_codename",
"tissue_sample_type",
"dataset_type",
"condition",
"notes",
"linked_files",
"updated",
"updated_by",
"dataset_id",
],
)
abort(
406,
"Only 'text/csv' and 'application/json' HTTP accept headers supported")
def username(cls):
# sqlite does not have a splitstr function
return func.substr(cls.email, 1, func.instr(cls.email, '@') - 1)
def FindPeopleBySerialNumber(self, serial): return db.session.query(Person) \ .join(Bike) \ .filter(and_( \ Bike.personID == Person.id, \ func.instr(Bike.serial, serial) > 0)).all()
def list_participants(page: int, limit: int) -> Response:
order_by = request.args.get("order_by", type=str)
allowed_columns = [
"family_codename",
"participant_codename",
"notes",
"participant_type",
"sex",
"affected",
"solved",
]
if order_by is None:
order = None # system default, likely participant_id
elif order_by == "family_codename":
order = models.Family.family_codename
elif order_by in allowed_columns:
# Since this is an elif clause, we know family_codename is already handled above.
# order_by has been restricted to a known list, so we can safely use getattr
order = getattr(models.Participant, order_by)
else:
abort(400, description=f"order_by must be one of {allowed_columns}")
if order:
order_dir = request.args.get("order_dir", type=str)
if order_dir == "desc":
order = order.desc()
elif order_dir == "asc":
order = order.asc()
else:
abort(400, description="order_dir must be either 'asc' or 'desc'")
filters = []
family_codename = request.args.get("family_codename", type=str)
if family_codename:
filters.append(
func.instr(models.Family.family_codename, family_codename))
participant_codename = request.args.get("participant_codename", type=str)
if participant_codename:
filters.append(
func.instr(models.Participant.participant_codename,
participant_codename))
notes = request.args.get("notes", type=str)
if notes:
filters.append(func.instr(models.Participant.notes, notes))
participant_type = request.args.get("participant_type", type=str)
if participant_type:
filters.append(
filter_in_enum_or_abort(
models.Participant.participant_type,
models.ParticipantType,
participant_type,
))
sex = request.args.get("sex", type=str)
if sex:
filters.append(
filter_in_enum_or_abort(models.Participant.sex, models.Sex, sex))
affected = request.args.get("affected", type=str)
if affected:
filters.append(
filter_nullable_bool_or_abort(models.Participant.affected,
affected))
solved = request.args.get("solved", type=str)
if solved:
filters.append(
filter_nullable_bool_or_abort(models.Participant.solved, solved))
if app.config.get("LOGIN_DISABLED") or current_user.is_admin:
user_id = request.args.get("user")
else:
user_id = current_user.user_id
if user_id: # Regular user or assumed identity, return only permitted participants
query = (models.Participant.query.options(
joinedload(models.Participant.institution),
contains_eager(models.Participant.family),
contains_eager(models.Participant.tissue_samples).contains_eager(
models.TissueSample.datasets),
).join(models.Participant.family).outerjoin(
models.Participant.tissue_samples).outerjoin(
models.TissueSample.datasets).join(
models.groups_datasets_table,
models.Dataset.dataset_id ==
models.groups_datasets_table.columns.dataset_id,
).join(
models.users_groups_table,
models.groups_datasets_table.columns.group_id ==
models.users_groups_table.columns.group_id,
).filter(models.users_groups_table.columns.user_id == user_id,
*filters))
else: # Admin or LOGIN_DISABLED, authorized to query all participants
query = (models.Participant.query.options(
joinedload(models.Participant.institution),
contains_eager(models.Participant.family),
joinedload(models.Participant.tissue_samples).joinedload(
models.TissueSample.datasets),
).join(models.Participant.family).filter(*filters))
# .count() returns the number of rows in the SQL response. When we join across a one-to-many
# relationship, each parent row is multiplied by the number of children it has. This causes
# .count() to disagree with len() as SQLAlchemy reroutes the duplicated rows back into their
# mapped objects. In addition, .count() just wraps the main query in a subquery, so it can be
# inefficient. Luckily, we can sidestep this whole problem efficiently by having the database
# count the number of distinct parent primary keys returned. https://gist.github.com/hest/8798884
total_count = query.with_entities(
func.count(distinct(models.Participant.participant_id))).scalar()
participants = query.order_by(order).limit(limit).offset(
page * (limit or 0)).all()
return jsonify({
"data": [{
**asdict(participant),
"family_codename":
participant.family.family_codename,
"institution":
participant.institution.institution
if participant.institution else None,
"updated_by":
participant.updated_by.username,
"created_by":
participant.created_by.username,
"tissue_samples": [{
**asdict(tissue_sample), "datasets":
tissue_sample.datasets
} for tissue_sample in participant.tissue_samples],
} for participant in participants],
"page":
page if limit else 0,
"total_count":
total_count,
})
def list_analyses(page: int, limit: int) -> Response:
app.logger.debug("Parsing query parameters..")
order_by = request.args.get("order_by", type=str)
allowed_columns = [
"updated",
"result_path",
"notes",
"analysis_state",
"pipeline_id",
"assignee",
"requester",
"priority",
"requested",
"analysis_id",
]
assignee_user = aliased(models.User)
requester_user = aliased(models.User)
app.logger.debug("Validating 'order_by' parameter..")
if order_by is None:
order = None # system default, likely analysis_id
elif order_by == "assignee":
order = assignee_user.username
elif order_by == "requester":
order = requester_user.username
elif order_by in allowed_columns:
# Since this is an elif clause, we know special cases are already handled above.
# order_by has been restricted to a known list, so we can safely use getattr
order = getattr(models.Analysis, order_by)
else:
abort(400, description=f"order_by must be one of {allowed_columns}")
if order:
app.logger.debug("Validating 'order_dir' parameter..")
order_dir = request.args.get("order_dir", type=str)
if order_dir == "desc":
order = order.desc()
elif order_dir == "asc":
order = order.asc()
else:
abort(400, description="order_dir must be either 'asc' or 'desc'")
app.logger.debug("Ordering by '%s' in '%s' direction", order_by,
order_dir)
app.logger.debug("Validating filter parameters..")
filters = []
assignee = request.args.get("assignee", type=str)
if assignee:
app.logger.debug("Filter by assignee: '%s'", assignee)
filters.append(func.instr(assignee_user.username, assignee))
requester = request.args.get("requester", type=str)
if requester:
app.logger.debug("Filter by requester: '%s'", requester)
filters.append(func.instr(requester_user.username, requester))
notes = request.args.get("notes", type=str)
if notes:
app.logger.debug("Filter by notes: '%s'", notes)
filters.append(func.instr(models.Analysis.notes, notes))
# this edges into the [GET] /:id endpoint, but the index/show payloads diverge, causing issues for the FE, and this is technically still a filter
analysis_id = request.args.get("analysis_id", type=str)
if analysis_id:
app.logger.debug("Filter by analysis_id: '%s'", analysis_id)
filters.append(func.instr(models.Analysis.analysis_id, analysis_id))
priority = request.args.get("priority", type=str)
if priority:
app.logger.debug("Filter by priority: '%s'", priority)
filters.append(
filter_in_enum_or_abort(
models.Analysis.priority,
models.PriorityType,
priority,
))
result_path = request.args.get("result_path", type=str)
if result_path:
app.logger.debug("Filter by result_path: '%s'", result_path)
filters.append(func.instr(models.Analysis.result_path, result_path))
updated = request.args.get("updated", type=str)
if updated:
app.logger.debug("Filter by updated: '%s'", updated)
filters.append(
filter_updated_or_abort(models.Analysis.updated, updated))
requested = request.args.get("requested", type=str)
if requested:
app.logger.debug("Filter by requested: '%s'", requested)
filters.append(
filter_updated_or_abort(models.Analysis.requested, requested))
analysis_state = request.args.get("analysis_state", type=str)
if analysis_state:
app.logger.debug("Filter by analysis_state: '%s'", analysis_state)
filters.append(
filter_in_enum_or_abort(
models.Analysis.analysis_state,
models.AnalysisState,
analysis_state,
))
pipeline_id = request.args.get("pipeline_id", type=str)
if pipeline_id:
try:
filters.append(
models.Analysis.pipeline_id.in_(
[int(pk) for pk in pipeline_id.split(",")]))
except ValueError as err:
abort(400, description=err)
app.logger.debug("Filter by pipeline_id: '%s'", pipeline_id)
app.logger.debug("Getting user_id..")
if app.config.get("LOGIN_DISABLED") or current_user.is_admin:
user_id = request.args.get("user")
else:
user_id = current_user.user_id
app.logger.debug("user_id: '%s'", user_id)
app.logger.debug("Querying and applying filters..")
query = models.Analysis.query.options(
selectinload(models.Analysis.datasets).options(
selectinload(models.Dataset.tissue_sample).options(
selectinload(models.TissueSample.participant).options(
selectinload(models.Participant.family)))))
if assignee:
query = query.join(assignee_user, models.Analysis.assignee)
if requester:
query = query.join(requester_user, models.Analysis.requester)
if user_id: # Regular user or assumed identity, return only permitted analyses
query = (query.join(models.datasets_analyses_table).join(
models.groups_datasets_table,
models.datasets_analyses_table.columns.dataset_id ==
models.groups_datasets_table.columns.dataset_id,
).join(
models.users_groups_table,
models.groups_datasets_table.columns.group_id ==
models.users_groups_table.columns.group_id,
).filter(models.users_groups_table.columns.user_id == user_id,
*filters))
else: # Admin or LOGIN_DISABLED, authorized to query all analyses
query = query.filter(*filters)
participant_codename = request.args.get("participant_codename", type=str)
if participant_codename:
app.logger.debug("Filtering by participant_codename: '%s' (subquery)",
participant_codename)
# use a subquery on one-to-many-related fields instead of eager/filter so that the related fields themselves aren't excluded
# (we want all analyses that have at least 1 particpant that matches the search, along with *all* related participants)
subquery = (models.Analysis.query.join(models.Analysis.datasets).join(
models.Dataset.tissue_sample).join(
models.TissueSample.participant).filter(
func.instr(models.Participant.participant_codename,
participant_codename)).with_entities(
models.Analysis.analysis_id).subquery())
query = query.filter(models.Analysis.analysis_id.in_(subquery))
family_codename = request.args.get("family_codename", type=str)
if family_codename:
app.logger.debug("Filtering by family_codename: '%s' (subquery)",
family_codename)
subquery = (models.Analysis.query.join(models.Analysis.datasets).join(
models.Dataset.tissue_sample).join(
models.TissueSample.participant).join(
models.Participant.family).filter(
func.instr(models.Family.family_codename,
family_codename)).with_entities(
models.Analysis.analysis_id).subquery())
query = query.filter(models.Analysis.analysis_id.in_(subquery))
if request.args.get("search"): # multifield search
app.logger.debug("Searching across multiple fields by '%s'",
request.args.get("search"))
subquery = (models.Analysis.query.join(models.Analysis.datasets).join(
models.Dataset.tissue_sample).join(
models.TissueSample.participant).join(
models.Participant.family).filter(
or_(
func.instr(models.Family.family_codename,
request.args.get("search")),
func.instr(models.Family.family_aliases,
request.args.get("search")),
func.instr(
models.Participant.participant_codename,
request.args.get("search"),
),
func.instr(
models.Participant.participant_aliases,
request.args.get("search"),
),
)).with_entities(
models.Analysis.analysis_id).subquery())
query = query.filter(models.Analysis.analysis_id.in_(subquery))
total_count = query.with_entities(
func.count(distinct(models.Analysis.analysis_id))).scalar()
analyses = query.order_by(order).limit(limit).offset(page *
(limit or 0)).all()
app.logger.info("Query successful")
results = [{
**asdict(analysis),
"participant_codenames": [
d.tissue_sample.participant.participant_codename
for d in analysis.datasets
],
"family_codenames": [
d.tissue_sample.participant.family.family_codename
for d in analysis.datasets
],
"requester":
analysis.requester.username,
"updated_by":
analysis.updated_by.username,
"assignee":
analysis.assignee_id and analysis.assignee.username,
"pipeline":
analysis.pipeline,
} for analysis in analyses]
if expects_json(request):
app.logger.debug("Returning paginated response..")
return paginated_response(results, page, total_count, limit)
elif expects_csv(request):
app.logger.debug("Returning paginated response..")
results = [{
k: v if k != "pipeline" else v.pipeline_name
for k, v in result.items()
} for result in results]
return csv_response(
results,
filename="analyses_report.csv",
colnames=[
"pipeline",
"analysis_state",
"participant_codenames",
"family_codenames",
"priority",
"requester",
"assignee",
"updated",
"result_path",
"notes",
"analysis_id",
],
)
abort(
406,
"Only 'text/csv' and 'application/json' HTTP accept headers supported")
