def output(self):
"""
Returns the full parquet path as an output for the Luigi Task
(e.g. impc/dr15.2/parquet/mgi_markers_parquet)
"""
return ImpcConfig().get_target(
f"{self.output_path}mgi_markers_parquet")
def output(self):
"""
Returns the full parquet path as an output for the Luigi Task
(e.g. impc/dr15.2/output/genotype_phenotype_parquet)
"""
return ImpcConfig().get_target(
f"{self.output_path}genotype_phenotype_parquet")
def output(self):
self.output_path = (
self.output_path + "/"
if not self.output_path.endswith("/")
else self.output_path
)
if self.extract_windowed_data == "true":
return ImpcConfig().get_target(
f"{self.output_path}open_stats_parquet_with_windowing_data"
)
elif self.raw_data_in_output == "include":
return ImpcConfig().get_target(
f"{self.output_path}open_stats_parquet_with_raw_data"
)
else:
return ImpcConfig().get_target(f"{self.output_path}open_stats_parquet")
def output(self):
"""
Returns the full parquet path as an output for the Luigi Task
(e.g. impc/dr15.2/parquet/colonies_tracking_clean_parquet)
"""
return ImpcConfig().get_target(
f"{self.output_path}colonies_tracking_clean_parquet")
def output(self):
self.output_path = (
self.output_path + "/"
if not self.output_path.endswith("/")
else self.output_path
)
return ImpcConfig().get_target(f"{self.output_path}mgi_phenotype_parquet")
def output(self):
"""
Returns the full parquet path as an output for the Luigi Task
(e.g. impc/dr15.2/parquet/product_report_parquet)
"""
return ImpcConfig().get_target(
f"{self.output_path}product_report_raw_parquet")
def output(self):
"""
Returns the full parquet path as an output for the Luigi Task
(e.g. impc/dr15.2/parquet/impc_ontology_metadata_parquet)
"""
return ImpcConfig().get_target(
f"{self.output_path}impc_ontology_metadata_parquet")
def output(self):
"""
Returns the full parquet path as an output for the Luigi Task
(e.g. impc/dr15.2/parquet/mouse_specimen_clean_parquet)
"""
return ImpcConfig().get_target(
f"{self.output_path}{self.specimen_type}_specimen_clean_parquet")
def output(self):
"""
Returns the full parquet path as an output for the Luigi Task
(e.g. impc/dr15.2/parquet/product_report_parquet)
"""
return ImpcConfig().get_target(
f"{self.output_path}/impc_web_api/gene_diseases_json")
def output(self):
"""
Returns the full parquet path as an output for the Luigi Task
(e.g. impc/dr15.2/parquet/specimen_level_experiment_cross_ref_parquet)
"""
return ImpcConfig().get_target(
f"{self.output_path}specimen_level_experiment_cross_ref_parquet")
def output(self):
"""
Returns the full parquet path as an output for the Luigi Task
(e.g. impc/dr16.0/parquet/stats_analysis_out_parquet)
"""
return ImpcConfig().get_target(
f"{self.output_path}stats_analysis_out_parquet")
def output(self):
"""
Returns the full parquet path as an output for the Luigi Task
(e.g. impc/dr15.2/parquet/gene_histopath_json)
"""
return ImpcConfig().get_target(
f"{self.output_path}/impc_web_api/gene_histopath_json"
)
def output(self):
self.output_path = (
self.output_path + "/"
if not self.output_path.endswith("/")
else self.output_path
)
return ImpcConfig().get_target(
f"{self.output_path}imits_{self.entity_type.lower()}_raw_parquet"
)
def output(self):
self.output_path = (
self.output_path + "/"
if not self.output_path.endswith("/")
else self.output_path
)
return ImpcConfig().get_target(
f"{self.output_path}{self.entity_type}_normalized_parquet"
)
def app_options(self):
"""
Generates the options pass to the PySpark job
"""
return [
self.obo_ontology_input_path,
ImpcConfig().deploy_mode,
self.output().path,
]
def output(self):
"""
Returns the full parquet path as an output for the Luigi Task
(e.g. impc/dr15.2/parquet/line_level_experiment_cross_ref_parquet)
"""
self.output_path = (self.output_path +
"/" if not self.output_path.endswith("/") else
self.output_path)
return ImpcConfig().get_target(
f"{self.output_path}line_level_experiment_cross_ref_parquet")
def extract_ontology_terms(spark_session: SparkSession) -> DataFrame:
"""
:param spark_session:
:param ontologies_path:
:return:
"""
ontology_terms = []
if ImpcConfig().deploy_mode in ["local", "client"]:
for ontology_desc in ONTOLOGIES:
print(
f"Processing {ontology_desc['id']}.{ontology_desc['format']}")
ontology: Ontology = pronto.Ontology.from_obo_library(
f"{ontology_desc['id']}.{ontology_desc['format']}")
part_of_rel: Relationship = None
for rel in ontology.relationships():
if rel.id == "part_of":
part_of_rel = rel
break
if part_of_rel is not None:
part_of_rel.transitive = False
print("Starting to compute super classes from part_of")
for term in ontology.terms():
for super_part_term in term.objects(part_of_rel):
if super_part_term.id in ontology.keys():
term.superclasses().add(super_part_term)
print("Finished to compute super classes from part_of")
top_level_terms = [
ontology[term] for term in ontology_desc["top_level_terms"]
]
top_level_ancestors = []
for top_level_term in top_level_terms:
top_level_ancestors.extend(
top_level_term.superclasses(with_self=False))
top_level_ancestors = set(top_level_ancestors)
ontology_terms += [
_parse_ontology_term(term, top_level_terms,
top_level_ancestors, part_of_rel)
for term in ontology.terms() if term.name is not None
]
print(
f"Finished processing {ontology_desc['id']}.{ontology_desc['format']}"
)
ontology_terms_json = spark_session.sparkContext.parallelize(
ontology_terms)
ontology_terms_df = spark_session.read.json(ontology_terms_json,
schema=ONTOLOGY_SCHEMA,
mode="FAILFAST")
return ontology_terms_df
def output(self):
self.output_path = (self.output_path +
"/" if not self.output_path.endswith("/") else
self.output_path)
return ImpcConfig().get_target(
f"{self.output_path}impress_parameter_parquet")
def output(self):
return ImpcConfig().get_target(f"{self.output_path}gene_bundle_parquet")
def output(self):
"""
Returns the full parquet path as an output for the Luigi Task
(e.g. impc/dr16.0/parquet/allele_ref_parquet)
"""
return ImpcConfig().get_target(f"{self.output_path}allele_ref_parquet")
def output(self):
return ImpcConfig().get_target(f"{self.output_path}/pain-xml/")
def output(self):
self.output_path = (self.output_path +
"/" if not self.output_path.endswith("/") else
self.output_path)
return ImpcConfig().get_target(
f"{self.output_path}impc_images_core_parquet")
def output(self):
self.output_path = (self.output_path +
"/" if not self.output_path.endswith("/") else
self.output_path)
return ImpcConfig().get_target(
f"{self.output_path}flatten_observations_parquet")
def output(self):
self.output_path = (self.output_path +
"/" if not self.output_path.endswith("/") else
self.output_path)
return ImpcConfig().get_target(f"{self.output_path}mp_chooser_json")
def output(self):
return ImpcConfig().get_target("done!")
def output(self):
return ImpcConfig().get_target(f"{self.output_path}batch_query_parquet")
def output(self):
self.output_path = (self.output_path +
"/" if not self.output_path.endswith("/") else
self.output_path)
return ImpcConfig().get_target(
f"{self.output_path}images_pipeline_input_csv")