def from_json(json: Dict[str, Any], record: Record) -> Optional["LanthiResults"]:
if json.get("schema_version") != LanthiResults.schema_version:
logging.warning("Discarding Lanthipeptide results, schema version mismatch")
return None
results = LanthiResults(json["record_id"])
for locus, motifs in json["motifs"].items():
for motif in motifs:
results.motifs_by_locus[locus].append(Prepeptide.from_json(motif))
results.clusters = {int(key): set(val) for key, val in json["protoclusters"].items()}
for location, name in json["new_cds_features"]:
cds = all_orfs.create_feature_from_location(record, location_from_string(location), label=name)
results.new_cds_features.add(cds)
return results
def from_json(json: Dict[str, Any], record: secmet.Record) -> "SactiResults":
if json.get("schema_version") != SactiResults.schema_version:
logging.warning("Discarding Sactipeptide results, schema version mismatch")
return None
results = SactiResults(json["record_id"])
for locus, motifs in json["motifs"].items():
for motif in motifs:
results.motifs_by_locus[locus].append(SactipeptideMotif.from_json(motif))
results.clusters = {int(key): set(val) for key, val in json["clusters"].items()}
for location, name in json["new_cds_features"]:
loc = serialiser.location_from_json(location)
cds = all_orfs.create_feature_from_location(record, loc, label=name)
results.new_cds_features.add(cds)
return results
def from_json(json: Dict, record: secmet.Record) -> Optional["ThioResults"]:
""" Builds a results object from JSON """
if json.get("schema_version") != ThioResults.schema_version:
logging.warning("Discarding Thiopeptide results, schema version mismatch")
return None
results = ThioResults(json["record_id"])
for motif in json["motifs"]:
results.motifs.append(secmet.Prepeptide.from_json(motif))
for cluster in json["protoclusters with motifs"]:
results.clusters_with_motifs.add(record.get_protocluster(cluster))
for cluster, features in json["cds_features"].items():
for location, name in features:
cds = all_orfs.create_feature_from_location(record, location_from_string(location), label=name)
results.cds_features[cluster].append(cds)
return results
