Files
cellxgene/backend/server/common/annotations/annotations.py
Bruce Martin f2e9aecebe hosted gene sets routes, plus a few bug fixes (#2155)
* first cut at hosted gs routes

* lint

* update tests to match csv parser changes

* update tests to new API

* update gene set name validation rules to match requirements

* add path mapping from dataset to geneset

* add test cases for geneset GET route

* fix test assertion

* remove debugging code

* update gene set uri mapping function

* fix error message

* allow extra user-specified headers in gene set csv file

* clarify comment
2021-04-27 13:58:58 -07:00

120 lines
4.0 KiB
Python

from abc import ABCMeta, abstractmethod
import fastobo
import fsspec
from backend.common.errors import OntologyLoadFailure, DisabledFeatureError
from backend.common.utils.type_conversion_utils import get_schema_type_hint_of_array
from backend.common.genesets import write_gene_sets_tidycsv
class Annotations(metaclass=ABCMeta):
""" baseclass for annotations, including ontologies and gene sets"""
""" our default ontology is the PURL for the Cell Ontology.
See http://www.obofoundry.org/ontology/cl.html """
DefaultOnotology = "http://purl.obolibrary.org/obo/cl.obo"
def __init__(self, config={}):
self.ontology_data = None
self.config = config
def user_annotations_enabled(self):
return self.config.get("user-annotations", False)
def gene_sets_save_enabled(self):
return self.config.get("genesets-save", False)
def check_user_annotations_enabled(self):
if not self.user_annotations_enabled():
raise DisabledFeatureError("User annotations are disabled.")
def check_gene_sets_save_enabled(self):
if not self.gene_sets_save_enabled():
raise DisabledFeatureError("User gene sets save is disabled.")
def load_ontology(self, path):
"""Load and parse ontologies - currently support OBO files only."""
if path is None:
path = self.DefaultOnotology
try:
with fsspec.open(path) as f:
obo = fastobo.iter(f)
terms = filter(lambda stanza: type(stanza) is fastobo.term.TermFrame, obo)
names = [tag.name for term in terms for tag in term if type(tag) is fastobo.term.NameClause]
self.ontology_data = names
except FileNotFoundError as e:
raise OntologyLoadFailure("Unable to find OBO ontology path") from e
except SyntaxError as e:
raise OntologyLoadFailure("Syntax error loading OBO ontology") from e
except Exception as e:
raise OntologyLoadFailure("Error loading OBO file") from e
def get_schema(self, data_adaptor):
schema = []
labels = self.read_labels(data_adaptor)
if labels is not None and not labels.empty:
for col in labels.columns:
col_schema = dict(name=col, writable=True)
col_schema.update(get_schema_type_hint_of_array(labels[col]))
schema.append(col_schema)
return schema
@abstractmethod
def set_collection(self, name):
"""set or create a new annotation collection"""
pass
@abstractmethod
def read_labels(self, data_adaptor):
"""Return the labels as a pandas.DataFrame"""
pass
@abstractmethod
def write_labels(self, df, data_adaptor):
"""Write the labels (df) to a persistent storage such that it can later be read"""
pass
@abstractmethod
def read_gene_sets(self, data_adaptor):
"""Return the gene sets from persistent storage """
pass
@abstractmethod
def write_gene_sets(self, gs, data_adaptor):
"""Write the gene sets (gs) to a persistent storage such that it can later be read"""
pass
@abstractmethod
def update_parameters(self, parameters, data_adaptor):
"""Update configuration parameters that describe information about the annotations feature"""
pass
@staticmethod
def gene_sets_to_csv(genesets):
"""
Convert the internal gene sets format (returned by read_gene_set) into
the simple Tidy CSV.
"""
from io import StringIO
if isinstance(genesets, dict):
genesets = genesets.values()
with StringIO() as sio:
write_gene_sets_tidycsv(sio, genesets)
return sio.getvalue()
@staticmethod
def gene_sets_to_response(genesets):
"""
Convert the internal gene sets format (returned by read_gene_set) into
the dict expected by the JSON REST API
"""
return list(genesets.values())