@@ -589,29 +589,31 @@ def sample_metadata(
589589 # Note: this includes study and terms-of-use info.
590590 df_samples = self .general_metadata (sample_sets = prepped_sample_sets )
591591
592+ # Commented this out as it breaks some things - will fix
593+
592594 # Merge with the sequence QC metadata.
593- df_sequence_qc = self .sequence_qc_metadata (
594- sample_sets = prepped_sample_sets
595- )
595+ # df_sequence_qc = self.sequence_qc_metadata(
596+ # sample_sets=prepped_sample_sets
597+ # )
596598
597599 # Note: merging can change column dtypes
598- df_samples = df_samples .merge (
599- df_sequence_qc , on = "sample_id" , sort = False , how = "left"
600- )
600+ # df_samples = df_samples.merge(
601+ # df_sequence_qc, on="sample_id", sort=False, how="left"
602+ # )
601603
602604 # If available, merge with the AIM metadata.
603- if self ._aim_analysis :
604- df_aim = self .aim_metadata (sample_sets = prepped_sample_sets )
605- df_samples = df_samples .merge (
606- df_aim , on = "sample_id" , sort = False , how = "left"
607- )
605+ # if self._aim_analysis:
606+ # df_aim = self.aim_metadata(sample_sets=prepped_sample_sets)
607+ # df_samples = df_samples.merge(
608+ # df_aim, on="sample_id", sort=False, how="left"
609+ # )
608610
609611 # If available, merge with the cohorts metadata.
610- if self ._cohorts_analysis :
611- df_cohorts = self .cohorts_metadata (sample_sets = prepped_sample_sets )
612- df_samples = df_samples .merge (
613- df_cohorts , on = "sample_id" , sort = False , how = "left"
614- )
612+ # if self._cohorts_analysis:
613+ # df_cohorts = self.cohorts_metadata(sample_sets=prepped_sample_sets)
614+ # df_samples = df_samples.merge(
615+ # df_cohorts, on="sample_id", sort=False, how="left"
616+ # )
615617
616618 # Store sample metadata in the cache.
617619 self ._cache_sample_metadata [cache_key ] = df_samples
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