mirror of
https://github.com/chanzuckerberg/cellxgene.git
synced 2026-10-06 05:18:11 +08:00
wire e2e gene set loading prototype
This commit is contained in:
@@ -8,7 +8,7 @@ from server.common.utils.type_conversion_utils import get_schema_type_hint_of_ar
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class Annotations(metaclass=ABCMeta):
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""" baseclass for annotations, including ontologies"""
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""" baseclass for annotations, including ontologies and gene sets"""
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""" our default ontology is the PURL for the Cell Ontology.
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See http://www.obofoundry.org/ontology/cl.html """
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@@ -64,6 +64,16 @@ class Annotations(metaclass=ABCMeta):
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"""Write the labels (df) to a persistent storage such that it can later be read"""
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pass
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@abstractmethod
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def read_genesets(self, data_adaptor):
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"""Return the genesets as a list of list, ie, [['gsname', ['gene1', 'gene2']], ...] """
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pass
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@abstractmethod
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def write_genesets(self, gs, data_adaptor):
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"""Write the genesets (gs) to a persistent storage such that it can later be read"""
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pass
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@abstractmethod
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def update_parameters(self, parameters, data_adaptor):
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"""Update configuration parameters that describe information about the annotations feature"""
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@@ -4,6 +4,7 @@ import re
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import threading
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from datetime import datetime
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from hashlib import blake2b
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import csv
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import pandas as pd
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from flask import session, has_request_context, current_app
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@@ -16,14 +17,16 @@ from server.common.errors import AnnotationsError
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class AnnotationsLocalFile(Annotations):
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CXG_ANNO_COLLECTION = "cxg_anno_collection"
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def __init__(self, output_dir, output_file):
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def __init__(self, output_dir, label_output_file, genesets_output_file):
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super().__init__()
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self.output_dir = output_dir
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self.output_file = output_file
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# lock used to protect label file write ops
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self.label_output_file = label_output_file
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self.genesets_output_file = genesets_output_file
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# lock used to protect label and geneset file write ops
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self.label_lock = threading.RLock()
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self.genesets_lock = threading.RLock()
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# cache the most recent annotations
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# cache the most recent annotations. We don't cache genesets as they are small
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self.last_fname = None
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self.last_labels = None
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@@ -51,7 +54,7 @@ class AnnotationsLocalFile(Annotations):
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if not current_app.auth.is_user_authenticated():
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return pd.DataFrame()
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fname = self._get_filename(data_adaptor)
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fname = self._get_celllabels_filename(data_adaptor)
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with self.label_lock:
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if fname is not None and os.path.exists(fname) and os.path.getsize(fname) > 0:
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# returned the cached labels if possible, otherwise read them from the file
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@@ -81,7 +84,7 @@ class AnnotationsLocalFile(Annotations):
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f"which was last modified on {lastmodstr}\n"
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)
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fname = self._get_filename(data_adaptor)
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fname = self._get_celllabels_filename(data_adaptor)
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self._backup(fname)
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if not df.empty:
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with open(fname, "w", newline="") as f:
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@@ -95,6 +98,62 @@ class AnnotationsLocalFile(Annotations):
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self.last_fname = fname
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self.last_labels = df
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def read_genesets(self, data_adaptor):
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if has_request_context():
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if not current_app.auth.is_user_authenticated():
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return {}
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fname = self._get_genesets_filename(data_adaptor)
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gs = []
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with self.genesets_lock:
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if fname is not None and os.path.exists(fname) and os.path.getsize(fname) > 0:
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with open(fname, newline="") as f:
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sample = f.read(1024)
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f.seek(0)
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sniffer = csv.Sniffer()
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dialect = sniffer.sniff(sample)
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dialect.skipinitialspace = True
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reader = csv.reader(f, dialect)
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haveReadHeader = False
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for row in reader:
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if len(row) == 0:
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continue
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# if row starts with '#' it is a comment
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if row[0].startswith("#"):
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continue
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# if this is the first non-comment row, assume it is a header
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if not haveReadHeader:
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haveReadHeader = True
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continue
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gs.append([row[0], row[1:]])
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return gs
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def write_genesets(self, genesets, data_adaptor):
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with self.genesets_lock:
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lastmod = data_adaptor.get_last_mod_time()
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lastmodstr = "'unknown'" if lastmod is None else lastmod.isoformat(timespec="seconds")
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header = (
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f"# Geneset generated on {datetime.now().isoformat(timespec='seconds')} "
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f"using cellxgene version {cellxgene_version}\n"
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f"# Input data file was {data_adaptor.get_location()}, "
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f"which was last modified on {lastmodstr}\n"
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)
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fname = self._get_genesets_filename(data_adaptor)
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self._backup(fname)
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if len(genesets) > 0:
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gsRows = [[gs[0]] + gs[1] for gs in genesets]
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with open(fname, "w", newline="") as f:
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if header is not None:
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f.write(header)
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writer = csv.writer(f)
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writer.writerow(["name", "genes..."]) # CSV column header row
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writer.writerows(gsRows)
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else:
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open(fname, "w").close()
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def _get_userdata_idhash(self, data_adaptor):
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"""
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Return a short hash that weakly identifies the user and dataset.
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@@ -109,16 +168,26 @@ class AnnotationsLocalFile(Annotations):
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if self.output_dir:
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return self.output_dir
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if self.output_file:
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if self.label_output_file:
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return os.path.dirname(self.path.abspath(self.output_dir))
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return os.getcwd()
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def _get_filename(self, data_adaptor):
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def _get_celllabels_filename(self, data_adaptor):
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""" return the current annotation file name """
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if self.output_file:
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return self.output_file
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if self.label_output_file:
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return self.label_output_file
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return self._get_filename(data_adaptor, "celllabels")
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def _get_genesets_filename(self, data_adaptor):
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""" return the current annotation file name """
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if self.genesets_output_file:
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return self.genesets_output_file
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return self._get_filename(data_adaptor, "genesets")
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def _get_filename(self, data_adaptor, anno_name):
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# we need to generate a file name, which we can only do if we have a UID and collection name
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if session is None:
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raise AnnotationsError("unable to determine file name for annotations")
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@@ -131,7 +200,7 @@ class AnnotationsLocalFile(Annotations):
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raise AnnotationsError("unable to determine file name for annotations")
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idhash = self._get_userdata_idhash(data_adaptor)
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return os.path.join(self._get_output_dir(), f"{collection}-{idhash}.csv")
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return os.path.join(self._get_output_dir(), f"{collection}-{anno_name}-{idhash}.csv")
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def _backup(self, fname, max_backups=9):
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"""
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@@ -179,9 +248,9 @@ class AnnotationsLocalFile(Annotations):
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else:
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params["annotations_cell_ontology_enabled"] = False
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if self.output_file is not None:
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# user has hard-wired the name of the annotation data collection
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fname = os.path.basename(self.output_file)
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if self.label_output_file is not None:
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# user has hard-wired the name of the annotation cell label data collection
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fname = os.path.basename(self.label_output_file)
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collection_fname = os.path.splitext(fname)[0]
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params["annotations-data-collection-is-read-only"] = True
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params["annotations-data-collection-name"] = collection_fname
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@@ -44,6 +44,7 @@ def get_client_config(app_config, data_adaptor):
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"annotations": False,
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"annotations_file": None,
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"annotations_dir": None,
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"annotations_genesets_readonly": dataset_config.user_annotations__genesets__readonly,
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"annotations_cell_ontology_enabled": False,
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"annotations_cell_ontology_obopath": None,
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"annotations_cell_ontology_terms": None,
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@@ -42,6 +42,10 @@ class DatasetConfig(BaseConfig):
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self.user_annotations__hosted_tiledb_array__hosted_file_directory = default_config["user_annotations"][
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"hosted_tiledb_array"
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]["hosted_file_directory"]
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self.user_annotations__genesets__readonly = default_config["user_annotations"]["genesets"]["readonly"]
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self.user_annotations__local_file_csv__genesets_file = default_config["user_annotations"]["local_file_csv"][
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"genesets_file"
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]
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self.embeddings__names = default_config["embeddings"]["names"]
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self.embeddings__enable_reembedding = default_config["embeddings"]["enable_reembedding"]
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@@ -98,6 +102,9 @@ class DatasetConfig(BaseConfig):
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self.validate_correct_type_of_configuration_attribute(
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"user_annotations__local_file_csv__file", (type(None), str)
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)
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self.validate_correct_type_of_configuration_attribute(
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"user_annotations__local_file_csv__genesets_file", (type(None), str)
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)
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self.validate_correct_type_of_configuration_attribute("user_annotations__ontology__enable", bool)
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self.validate_correct_type_of_configuration_attribute(
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"user_annotations__ontology__obo_location", (type(None), str)
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@@ -108,6 +115,8 @@ class DatasetConfig(BaseConfig):
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self.validate_correct_type_of_configuration_attribute(
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"user_annotations__hosted_tiledb_array__hosted_file_directory", (type(None), str)
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)
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self.validate_correct_type_of_configuration_attribute("user_annotations__genesets__readonly", bool)
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if self.user_annotations__enable:
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server_config = self.app_config.server_config
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if not self.app__authentication_enable:
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@@ -132,14 +141,22 @@ class DatasetConfig(BaseConfig):
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def handle_local_file_csv_annotations(self):
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dirname = self.user_annotations__local_file_csv__directory
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filename = self.user_annotations__local_file_csv__file
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if filename is not None and dirname is not None:
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annotation_filename = self.user_annotations__local_file_csv__file
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if annotation_filename is not None and dirname is not None:
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raise ConfigurationError("'annotations-file' and 'annotations-dir' may not be used together.")
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genesets_filename = self.user_annotations__local_file_csv__genesets_file
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if genesets_filename is not None and dirname is not None:
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raise ConfigurationError("'genesets-file' and 'annotations-dir' may not be used together.")
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if filename is not None:
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lf_name, lf_ext = splitext(filename)
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if annotation_filename is not None:
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lf_name, lf_ext = splitext(annotation_filename)
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if lf_ext and lf_ext != ".csv":
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raise ConfigurationError(f"annotation file type must be .csv: {filename}")
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raise ConfigurationError(f"annotation file type must be .csv: {annotation_filename}")
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if genesets_filename is not None:
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lf_name, lf_ext = splitext(genesets_filename)
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if lf_ext and lf_ext != ".csv":
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raise ConfigurationError(f"genesets file type must be .csv: {genesets_filename}")
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if dirname is not None and not isdir(dirname):
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try:
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@@ -147,16 +164,23 @@ class DatasetConfig(BaseConfig):
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except OSError:
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raise ConfigurationError("Unable to create directory specified by --annotations-dir")
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self.user_annotations = AnnotationsLocalFile(dirname, filename)
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self.user_annotations = AnnotationsLocalFile(dirname, annotation_filename, genesets_filename)
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# if the user has specified a fixed label file, go ahead and validate it
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# so that we can remove errors early in the process.
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server_config = self.app_config.server_config
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if server_config.single_dataset__datapath and self.user_annotations__local_file_csv__file:
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with server_config.matrix_data_cache_manager.data_adaptor(
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self.tag, server_config.single_dataset__datapath, self.app_config
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) as data_adaptor:
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data_adaptor.check_new_labels(self.user_annotations.read_labels(data_adaptor))
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if server_config.single_dataset__datapath:
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if self.user_annotations__local_file_csv__file:
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with server_config.matrix_data_cache_manager.data_adaptor(
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self.tag, server_config.single_dataset__datapath, self.app_config
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) as data_adaptor:
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data_adaptor.check_new_labels(self.user_annotations.read_labels(data_adaptor))
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if self.user_annotations__local_file_csv__genesets_file:
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with server_config.matrix_data_cache_manager.data_adaptor(
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self.tag, server_config.single_dataset__datapath, self.app_config
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) as data_adaptor:
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data_adaptor.check_new_genesets(self.user_annotations.read_genesets(data_adaptor))
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def handle_hosted_tiledb_annotations(self):
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self.validate_correct_type_of_configuration_attribute("user_annotations__hosted_tiledb_array__db_uri", str)
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+40
-3
@@ -196,9 +196,6 @@ def annotations_var_get(request, data_adaptor):
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try:
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labels = None
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annotations = data_adaptor.dataset_config.user_annotations
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if annotations is not None:
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labels = annotations.read_labels(data_adaptor)
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return make_response(
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data_adaptor.annotation_to_fbs_matrix(Axis.VAR, fields, labels),
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HTTPStatus.OK,
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@@ -328,3 +325,43 @@ def layout_obs_put(request, data_adaptor):
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return abort_and_log(HTTPStatus.NOT_IMPLEMENTED, str(e))
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except (ValueError, DisabledFeatureError, FilterError) as e:
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return abort_and_log(HTTPStatus.BAD_REQUEST, str(e), include_exc_info=True)
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def genesets_get(request, data_adaptor):
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preferred_mimetype = request.accept_mimetypes.best_match(["application/json"])
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if preferred_mimetype != "application/json":
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return abort(HTTPStatus.NOT_ACCEPTABLE)
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annotations = data_adaptor.dataset_config.user_annotations
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genesets = annotations.read_genesets(data_adaptor)
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return make_response(jsonify({"genesets": genesets}), HTTPStatus.OK)
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def genesets_put(request, data_adaptor):
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annotations = data_adaptor.dataset_config.user_annotations
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if annotations is None:
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return abort(HTTPStatus.NOT_IMPLEMENTED)
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if data_adaptor.dataset_config.user_annotations__genesets__readonly:
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return abort(HTTPStatus.NOT_IMPLEMENTED)
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anno_collection = request.args.get("annotation-collection-name", default=None)
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if anno_collection is not None:
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if not annotations.is_safe_collection_name(anno_collection):
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return abort(HTTPStatus.BAD_REQUEST, "Bad annotation collection name")
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annotations.set_collection(anno_collection)
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args = request.get_json()
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try:
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genesets = args["genesets"]
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if type(genesets) is list:
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gs = data_adaptor.check_new_genesets(genesets)
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annotations.write_genesets(gs, data_adaptor)
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else:
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pass
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annotations.write_genesets([], data_adaptor)
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res = json.dumps({"status": "OK"})
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return make_response(res, HTTPStatus.OK, {"Content-Type": "application/json"})
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except (ValueError, DisabledFeatureError, KeyError) as e:
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return abort_and_log(HTTPStatus.BAD_REQUEST, str(e), include_exc_info=True)
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