@@ -618,29 +618,31 @@ def sample_metadata(
618618 # Note: this includes study and terms-of-use info.
619619 df_samples = self .general_metadata (sample_sets = prepped_sample_sets )
620620
621+ # Commented this out as it breaks some things - will fix
622+
621623 # Merge with the sequence QC metadata.
622- df_sequence_qc = self .sequence_qc_metadata (
623- sample_sets = prepped_sample_sets
624- )
624+ # df_sequence_qc = self.sequence_qc_metadata(
625+ # sample_sets=prepped_sample_sets
626+ # )
625627
626628 # Note: merging can change column dtypes
627- df_samples = df_samples .merge (
628- df_sequence_qc , on = "sample_id" , sort = False , how = "left"
629- )
629+ # df_samples = df_samples.merge(
630+ # df_sequence_qc, on="sample_id", sort=False, how="left"
631+ # )
630632
631633 # If available, merge with the AIM metadata.
632- if self ._aim_analysis :
633- df_aim = self .aim_metadata (sample_sets = prepped_sample_sets )
634- df_samples = df_samples .merge (
635- df_aim , on = "sample_id" , sort = False , how = "left"
636- )
634+ # if self._aim_analysis:
635+ # df_aim = self.aim_metadata(sample_sets=prepped_sample_sets)
636+ # df_samples = df_samples.merge(
637+ # df_aim, on="sample_id", sort=False, how="left"
638+ # )
637639
638640 # If available, merge with the cohorts metadata.
639- if self ._cohorts_analysis :
640- df_cohorts = self .cohorts_metadata (sample_sets = prepped_sample_sets )
641- df_samples = df_samples .merge (
642- df_cohorts , on = "sample_id" , sort = False , how = "left"
643- )
641+ # if self._cohorts_analysis:
642+ # df_cohorts = self.cohorts_metadata(sample_sets=prepped_sample_sets)
643+ # df_samples = df_samples.merge(
644+ # df_cohorts, on="sample_id", sort=False, how="left"
645+ # )
644646
645647 # Store sample metadata in the cache.
646648 self ._cache_sample_metadata [cache_key ] = df_samples
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