mirror of
https://github.com/chanzuckerberg/cellxgene.git
synced 2026-10-03 11:38:12 +08:00
genesets route for local server (#2079)
* first cut at GET /genesets route * update existing tests to match code changes * more GET /genesets and initial tests * add missing test fixture * geneset validation accepts OTA format * genesets route: better error handling, more tests * lint
This commit is contained in:
@@ -44,6 +44,9 @@ 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": True, # feature flag
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"annotations_genesets_readonly": dataset_config.user_annotations__genesets__readonly,
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"annotations_genesets_summary_methods": ["mean"],
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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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@@ -3,7 +3,7 @@ from os.path import splitext, isdir
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from local_server.common.annotations.local_file_csv import AnnotationsLocalFile
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from local_server.common.config.base_config import BaseConfig
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from local_server.common.errors import ConfigurationError, OntologyLoadFailure
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from local_server.common.errors import ConfigurationError, OntologyLoadFailure, AnnotationsError
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from local_server.compute.scanpy import get_scanpy_module
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from local_server.data_common.matrix_loader import MatrixDataLoader
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@@ -32,6 +32,10 @@ class DatasetConfig(BaseConfig):
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self.user_annotations__ontology__obo_location = default_config["user_annotations"]["ontology"][
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"obo_location"
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]
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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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@@ -56,9 +60,7 @@ class DatasetConfig(BaseConfig):
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def get_data_adaptor(self):
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server_config = self.app_config.server_config
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if not server_config.data_adaptor:
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matrix_data_loader = MatrixDataLoader(
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server_config.single_dataset__datapath, app_config=self.app_config
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)
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matrix_data_loader = MatrixDataLoader(server_config.single_dataset__datapath, app_config=self.app_config)
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server_config.data_adaptor = matrix_data_loader.open(self.app_config)
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return server_config.data_adaptor
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@@ -96,11 +98,16 @@ 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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)
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if self.user_annotations__enable:
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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 or not self.user_annotations__genesets__readonly:
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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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raise ConfigurationError("user annotations requires authentication to be enabled")
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@@ -108,59 +115,84 @@ class DatasetConfig(BaseConfig):
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auth_type = server_config.authentication__type
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raise ConfigurationError(f"authentication method {auth_type} is not compatible with user annotations")
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if self.user_annotations__type == "local_file_csv":
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self.handle_local_file_csv_annotations()
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else:
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raise ConfigurationError('The only annotation type support is "local_file_csv"')
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# Must always have an annotations instance to support genesets. User annotation (cell labels) are optional
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# as are writable gene sets
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if self.user_annotations__type == "local_file_csv":
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self.handle_local_file_csv_annotations(context)
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else:
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raise ConfigurationError('The only annotation type support is "local_file_csv"')
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if self.user_annotations__enable:
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if self.user_annotations__ontology__enable or self.user_annotations__ontology__obo_location:
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try:
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self.user_annotations.load_ontology(self.user_annotations__ontology__obo_location)
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except OntologyLoadFailure as e:
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raise ConfigurationError("Unable to load ontology terms\n" + str(e))
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else:
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self.check_annotation_config_vars_not_set(context)
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def handle_local_file_csv_annotations(self):
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self.check_annotation_config_vars_not_set(context)
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def handle_local_file_csv_annotations(self, context):
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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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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 dirname is not None and (filename is not None or genesets_filename is not None):
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raise ConfigurationError(
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"'user-generated-data-dir' may not be used with annotations-file' or 'genesets-file'."
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)
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if filename is not None:
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lf_name, lf_ext = splitext(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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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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os.mkdir(dirname)
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except OSError:
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raise ConfigurationError("Unable to create directory specified by --annotations-dir")
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raise ConfigurationError("Unable to create directory specified by --user-generated-data-dir")
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self.user_annotations = AnnotationsLocalFile(dirname, filename)
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anno_config = {
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"user-annotations": self.user_annotations__enable,
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"genesets-save": not self.user_annotations__genesets__readonly,
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}
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self.user_annotations = AnnotationsLocalFile(anno_config, dirname, 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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if server_config.single_dataset__datapath:
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data_adaptor = self.get_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__file:
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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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try:
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data_adaptor.check_new_genesets(self.user_annotations.read_genesets(data_adaptor, context), context)
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except (ValueError, AnnotationsError, KeyError) as e:
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raise ConfigurationError(f"Unable to read genesets CSV file: {str(e)}") from e
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def check_annotation_config_vars_not_set(self, context):
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if self.user_annotations__type is not None:
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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:
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context["messagefn"]("Warning: --annotations-file ignored as annotations are disabled.")
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if dirname is not None:
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context["messagefn"]("Warning: --annotations-dir ignored as annotations are disabled.")
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if self.user_annotations__ontology__enable:
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context["messagefn"]("Warning: --experimental-annotations-ontology ignored as annotations are disabled.")
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if self.user_annotations__ontology__obo_location is not None:
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context["messagefn"](
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"Warning: --experimental-annotations-ontology-obo ignored as annotations are disabled."
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)
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if not self.user_annotations__enable:
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if filename is not None:
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context["messagefn"]("Warning: --annotations-file ignored as annotations are disabled.")
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if self.user_annotations__ontology__enable:
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context["messagefn"](
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"Warning: --experimental-annotations-ontology ignored as annotations are disabled."
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)
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if self.user_annotations__ontology__obo_location is not None:
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context["messagefn"](
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"Warning: --experimental-annotations-ontology-obo ignored as annotations are disabled."
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)
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if dirname is not None:
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context["messagefn"]("Warning: --user-generated-data-dir ignored as annotations are disabled.")
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def handle_embeddings(self):
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self.validate_correct_type_of_configuration_attribute("embeddings__names", list)
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@@ -186,6 +218,5 @@ class DatasetConfig(BaseConfig):
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data_adaptor = self.get_data_adaptor()
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if self.diffexp__enable and data_adaptor.parameters.get("diffexp_may_be_slow", False):
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context["messagefn"](
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"CAUTION: due to the size of your dataset, "
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"running differential expression may take longer or fail."
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"CAUTION: due to the size of your dataset, " "running differential expression may take longer or fail."
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)
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