import sys import arvados import json import shutil import arvados.collection import ruamel.yaml import schema_salad.schema import schema_salad.jsonld_context from schema_salad.sourceline import add_lc_filename api = arvados.api() keepclient = arvados.keep.KeepClient(api_client=api) validated = arvados.util.list_all(api.collections().list, filters=[ ["owner_uuid", "=", sys.argv[1]], ["properties.status", "=", "validated"]]) validated.sort(key=lambda v: v["portable_data_hash"]) relabeled_fasta = open("relabeledSeqs.fasta", "wt") merged_metadata = open("mergedMetadata.ttl", "wt") metadataSchema = sys.argv[2] blacklist = set() if len(sys.argv) > 3: with open(sys.argv[3]) as bl: for l in bl: blacklist.add(l.strip()) (document_loader, avsc_names, schema_metadata, metaschema_loader) = schema_salad.schema.load_schema(metadataSchema) for item in validated: pdh = item["portable_data_hash"] uuid = item["uuid"] with arvados.collection.CollectionReader(pdh, api_client=api, keep_client=keepclient) as col: with col.open("sequence.fasta", "rt") as fa: subject = "http://covid19.genenetwork.org/resource/%s" % uuid label = fa.readline().strip() merged_metadata.write("<%s> \"%s\" .\n" % (subject, label[1:].replace('"', '\\"'))) merged_metadata.write("<%s> \"%s\" .\n" % (subject, pdh)) merged_metadata.write("<%s> \"%s\" .\n" % (subject, item["version"])) skip = (subject in blacklist or label[1:] in blacklist) if skip: merged_metadata.write("<%s> \"true\"^^ .\n" % subject) if not skip: relabeled_fasta.write(">"+subject+"\n") data = fa.read(8096) while data: if not skip: relabeled_fasta.write(data) endswithnewline = data.endswith("\n") data = fa.read(8096) if not skip and not endswithnewline: relabeled_fasta.write("\n") with col.open("metadata.yaml", "rt") as md: metadata_content = ruamel.yaml.round_trip_load(md) metadata_content["id"] = subject add_lc_filename(metadata_content, metadata_content["id"]) doc, metadata = schema_salad.schema.load_and_validate(document_loader, avsc_names, metadata_content, False, False) g = schema_salad.jsonld_context.makerdf(subject, doc, document_loader.ctx) merged_metadata.write(g.serialize(format="ntriples").decode("utf-8")) shutil.rmtree(".cache")