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-rw-r--r--uploader/phenotypes/models.py31
1 files changed, 30 insertions, 1 deletions
diff --git a/uploader/phenotypes/models.py b/uploader/phenotypes/models.py
index e1ec0c9..4a229e6 100644
--- a/uploader/phenotypes/models.py
+++ b/uploader/phenotypes/models.py
@@ -75,7 +75,7 @@ def dataset_phenotypes(conn: mdb.Connection,
limit: Optional[int] = None) -> tuple[dict, ...]:
"""Fetch the actual phenotypes."""
_query = (
- "SELECT pheno.*, pxr.Id AS xref_id, ist.InbredSetCode FROM Phenotype AS pheno "
+ "SELECT pheno.*, pxr.Id AS xref_id, pxr.InbredSetId, ist.InbredSetCode FROM Phenotype AS pheno "
"INNER JOIN PublishXRef AS pxr ON pheno.Id=pxr.PhenotypeId "
"INNER JOIN PublishFreeze AS pf ON pxr.InbredSetId=pf.InbredSetId "
"INNER JOIN InbredSet AS ist ON pf.InbredSetId=ist.Id "
@@ -254,3 +254,32 @@ def save_new_dataset(cursor: Cursor,
params)
debug_query(cursor, app.logger)
return {**params, "Id": cursor.lastrowid}
+
+
+def phenotypes_data_by_ids(
+ conn: mdb.Connection,
+ inbred_pheno_xref: dict[str, int]
+) -> tuple[dict, ...]:
+ """Fetch all phenotype data, filtered by the `inbred_pheno_xref` mapping."""
+ _paramstr = ",".join(["(%s, %s, %s)"] * len(inbred_pheno_xref))
+ _query = ("SELECT "
+ "pub.PubMed_ID, pheno.*, pxr.*, pd.*, str.*, iset.InbredSetCode "
+ "FROM Publication AS pub "
+ "RIGHT JOIN PublishXRef AS pxr0 ON pub.Id=pxr0.PublicationId "
+ "INNER JOIN Phenotype AS pheno ON pxr0.PhenotypeId=pheno.id "
+ "INNER JOIN PublishXRef AS pxr ON pheno.Id=pxr.PhenotypeId "
+ "INNER JOIN PublishData AS pd ON pxr.DataId=pd.Id "
+ "INNER JOIN Strain AS str ON pd.StrainId=str.Id "
+ "INNER JOIN StrainXRef AS sxr ON str.Id=sxr.StrainId "
+ "INNER JOIN PublishFreeze AS pf ON sxr.InbredSetId=pf.InbredSetId "
+ "INNER JOIN InbredSet AS iset ON pf.InbredSetId=iset.InbredSetId "
+ f"WHERE (pxr.InbredSetId, pheno.Id, pxr.Id) IN ({_paramstr}) "
+ "ORDER BY pheno.Id")
+ with conn.cursor(cursorclass=DictCursor) as cursor:
+ cursor.execute(_query, tuple(item for row in inbred_pheno_xref
+ for item in (row["population_id"],
+ row["phenoid"],
+ row["xref_id"])))
+ debug_query(cursor, app.logger)
+ return tuple(
+ reduce(__organise_by_phenotype__, cursor.fetchall(), {}).values())