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-rw-r--r--gn3/db/traits.py141
1 files changed, 75 insertions, 66 deletions
diff --git a/gn3/db/traits.py b/gn3/db/traits.py
index ae1939a..9742fa2 100644
--- a/gn3/db/traits.py
+++ b/gn3/db/traits.py
@@ -100,119 +100,128 @@ def retrieve_trait_dataset_name(
         cursor.execute(query, {"threshold": threshold, "name": name})
         return cursor.fetchone()
 
-PUBLISH_TRAIT_INFO_QUERY = (
-    "SELECT "
-    "PublishXRef.Id, Publication.PubMed_ID, "
-    "Phenotype.Pre_publication_description, "
-    "Phenotype.Post_publication_description, "
-    "Phenotype.Original_description, "
-    "Phenotype.Pre_publication_abbreviation, "
-    "Phenotype.Post_publication_abbreviation, "
-    "Phenotype.Lab_code, Phenotype.Submitter, Phenotype.Owner, "
-    "Phenotype.Authorized_Users, CAST(Publication.Authors AS BINARY), "
-    "Publication.Title, Publication.Abstract, Publication.Journal, "
-    "Publication.Volume, Publication.Pages, Publication.Month, "
-    "Publication.Year, PublishXRef.Sequence, Phenotype.Units, "
-    "PublishXRef.comments "
-    "FROM "
-    "PublishXRef, Publication, Phenotype, PublishFreeze "
-    "WHERE "
-    "PublishXRef.Id = %(trait_name)s AND "
-    "Phenotype.Id = PublishXRef.PhenotypeId AND "
-    "Publication.Id = PublishXRef.PublicationId AND "
-    "PublishXRef.InbredSetId = PublishFreeze.InbredSetId AND "
-    "PublishFreeze.Id =%(trait_dataset_id)s")
-
 
 def retrieve_publish_trait_info(trait_data_source: Dict[str, Any], conn: Any):
     """Retrieve trait information for type `Publish` traits.
 
     https://github.com/genenetwork/genenetwork1/blob/master/web/webqtl/base/webqtlTrait.py#L399-L421"""
+    keys = (
+        "Id", "PubMed_ID", "Pre_publication_description",
+        "Post_publication_description", "Original_description",
+        "Pre_publication_abbreviation", "Post_publication_abbreviation",
+        "Lab_code", "Submitter", "Owner", "Authorized_Users", "Authors",
+        "Title", "Abstract", "Journal", "Volume", "Pages", "Month", "Year",
+        "Sequence", "Units", "comments")
+    columns = (
+        "PublishXRef.Id, Publication.PubMed_ID, "
+        "Phenotype.Pre_publication_description, "
+        "Phenotype.Post_publication_description, "
+        "Phenotype.Original_description, "
+        "Phenotype.Pre_publication_abbreviation, "
+        "Phenotype.Post_publication_abbreviation, "
+        "Phenotype.Lab_code, Phenotype.Submitter, Phenotype.Owner, "
+        "Phenotype.Authorized_Users, CAST(Publication.Authors AS BINARY), "
+        "Publication.Title, Publication.Abstract, Publication.Journal, "
+        "Publication.Volume, Publication.Pages, Publication.Month, "
+        "Publication.Year, PublishXRef.Sequence, Phenotype.Units, "
+        "PublishXRef.comments")
+    query = (
+        "SELECT "
+        "{columns} "
+        "FROM "
+        "PublishXRef, Publication, Phenotype, PublishFreeze "
+        "WHERE "
+        "PublishXRef.Id = %(trait_name)s AND "
+        "Phenotype.Id = PublishXRef.PhenotypeId AND "
+        "Publication.Id = PublishXRef.PublicationId AND "
+        "PublishXRef.InbredSetId = PublishFreeze.InbredSetId AND "
+        "PublishFreeze.Id =%(trait_dataset_id)s").format(
+            columns = columns)
     with conn.cursor() as cursor:
         cursor.execute(
-            PUBLISH_TRAIT_INFO_QUERY,
+            query,
             {
                 k:v for k, v in trait_data_source.items()
                 if k in ["trait_name", "trait_dataset_id"]
             })
-        return cursor.fetchone()
-
-PROBESET_TRAIT_INFO_QUERY = (
-    "SELECT "
-    "ProbeSet.name, ProbeSet.symbol, ProbeSet.description, "
-    "ProbeSet.probe_target_description, ProbeSet.chr, ProbeSet.mb, "
-    "ProbeSet.alias, ProbeSet.geneid, ProbeSet.genbankid, ProbeSet.unigeneid, "
-    "ProbeSet.omim, ProbeSet.refseq_transcriptid, ProbeSet.blatseq, "
-    "ProbeSet.targetseq, ProbeSet.chipid, ProbeSet.comments, "
-    "ProbeSet.strand_probe, ProbeSet.strand_gene, "
-    "ProbeSet.probe_set_target_region, ProbeSet.proteinid, "
-    "ProbeSet.probe_set_specificity, ProbeSet.probe_set_blat_score, "
-    "ProbeSet.probe_set_blat_mb_start, ProbeSet.probe_set_blat_mb_end, "
-    "ProbeSet.probe_set_strand, ProbeSet.probe_set_note_by_rw, "
-    "ProbeSet.flag "
-    "FROM "
-    "ProbeSet, ProbeSetFreeze, ProbeSetXRef "
-    "WHERE "
-    "ProbeSetXRef.ProbeSetFreezeId = ProbeSetFreeze.Id AND "
-    "ProbeSetXRef.ProbeSetId = ProbeSet.Id AND "
-    "ProbeSetFreeze.Name = %(trait_dataset_name)s AND "
-    "ProbeSet.Name = %(trait_name)s")
+        return dict(zip((k.lower() for k in keys), cursor.fetchone()))
 
 def retrieve_probeset_trait_info(trait_data_source: Dict[str, Any], conn: Any):
     """Retrieve trait information for type `ProbeSet` traits.
 
     https://github.com/genenetwork/genenetwork1/blob/master/web/webqtl/base/webqtlTrait.py#L424-L435"""
+    keys = (
+        "name", "symbol", "description", "probe_target_description", "chr",
+        "mb", "alias", "geneid", "genbankid", "unigeneid", "omim",
+        "refseq_transcriptid", "blatseq", "targetseq", "chipid", "comments",
+        "strand_probe", "strand_gene", "probe_set_target_region", "proteinid",
+        "probe_set_specificity", "probe_set_blat_score",
+        "probe_set_blat_mb_start", "probe_set_blat_mb_end", "probe_set_strand",
+        "probe_set_note_by_rw", "flag")
+    query = (
+        "SELECT "
+        "{columns} "
+        "FROM "
+        "ProbeSet, ProbeSetFreeze, ProbeSetXRef "
+        "WHERE "
+        "ProbeSetXRef.ProbeSetFreezeId = ProbeSetFreeze.Id AND "
+        "ProbeSetXRef.ProbeSetId = ProbeSet.Id AND "
+        "ProbeSetFreeze.Name = %(trait_dataset_name)s AND "
+        "ProbeSet.Name = %(trait_name)s").format(
+            columns = ", ".join(["ProbeSet.{}".format(x) for x in keys]))
     with conn.cursor() as cursor:
         cursor.execute(
-            PROBESET_TRAIT_INFO_QUERY,
+            query,
             {
                 k:v for k, v in trait_data_source.items()
                 if k in ["trait_name", "trait_dataset_name"]
             })
-        return cursor.fetchone()
-
-GENO_TRAIT_INFO_QUERY = (
-    "SELECT "
-    "Geno.name, Geno.chr, Geno.mb, Geno.source2, Geno.sequence "
-    "FROM "
-    "Geno, GenoFreeze, GenoXRef "
-    "WHERE "
-    "GenoXRef.GenoFreezeId = GenoFreeze.Id AND GenoXRef.GenoId = Geno.Id AND "
-    "GenoFreeze.Name = %(trait_dataset_name)s AND Geno.Name = %(trait_name)s")
+        return dict(zip(keys, cursor.fetchone()))
 
 def retrieve_geno_trait_info(trait_data_source: Dict[str, Any], conn: Any):
     """Retrieve trait information for type `Geno` traits.
 
     https://github.com/genenetwork/genenetwork1/blob/master/web/webqtl/base/webqtlTrait.py#L438-L449"""
+    keys = ("name", "chr", "mb", "source2", "sequence")
+    query = (
+        "SELECT "
+        "{columns} "
+        "FROM "
+        "Geno, GenoFreeze, GenoXRef "
+        "WHERE "
+        "GenoXRef.GenoFreezeId = GenoFreeze.Id AND GenoXRef.GenoId = Geno.Id AND "
+        "GenoFreeze.Name = %(trait_dataset_name)s AND "
+        "Geno.Name = %(trait_name)s").format(
+            columns = ", ".join(["Geno.{}".format(x) for x in keys]))
     with conn.cursor() as cursor:
         cursor.execute(
-            GENO_TRAIT_INFO_QUERY,
+            query,
             {
                 k:v for k, v in trait_data_source.items()
                 if k in ["trait_name", "trait_dataset_name"]
             })
-        return cursor.fetchone()
-
-TEMP_TRAIT_INFO_QUERY = (
-    "SELECT name, description FROM Temp "
-    "WHERE Name = %(trait_name)s")
+        return dict(zip(keys, cursor.fetchone()))
 
 def retrieve_temp_trait_info(trait_data_source: Dict[str, Any], conn: Any):
     """Retrieve trait information for type `Temp` traits.
 
     https://github.com/genenetwork/genenetwork1/blob/master/web/webqtl/base/webqtlTrait.py#L450-452"""
+    keys = ("name", "description")
+    query = (
+        "SELECT {columns} FROM Temp "
+        "WHERE Name = %(trait_name)s").format(columns = ", ".join(keys))
     with conn.cursor() as cursor:
         cursor.execute(
-            TEMP_TRAIT_INFO_QUERY,
+            query,
             {
                 k:v for k, v in trait_data_source.items()
                 if k in ["trait_name"]
             })
-        return cursor.fetchone()
+        return dict(zip(keys, cursor.fetchone()))
 
 def retrieve_trait_info(
         trait_type: str, trait_name: str, trait_dataset_id: int,
-        trait_dataset_name: str, conn: Any):
+        trait_dataset_name: str, conn: Any, QTL = None):
     """Retrieves the trait information.
 
     https://github.com/genenetwork/genenetwork1/blob/master/web/webqtl/base/webqtlTrait.py#L397-L456