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author | Muriithi Frederick Muriuki | 2021-07-30 08:29:38 +0300 |
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committer | Muriithi Frederick Muriuki | 2021-07-30 08:29:38 +0300 |
commit | c4f362d9a9b83f4fc6fadde0989663dd34fb0b07 (patch) | |
tree | 1bd75a20f0443143d806a8364d6f99b711d3d20e /gn3/db/traits.py | |
parent | 75ba10b9f7e8c5c7fabbd0f4134a1475cc180ae1 (diff) | |
download | genenetwork3-c4f362d9a9b83f4fc6fadde0989663dd34fb0b07.tar.gz |
Return dict from query functions
Issue:
https://github.com/genenetwork/gn-gemtext-threads/blob/main/topics/gn1-migration-to-gn2/clustering.gmi
* gn3/db/traits.py: return dicts rather than tuples/list
* tests/unit/db/test_traits.py: Update tests
Return dicts with the key-value pairs set up so as to ease with the data
manipulation down the pipeline.
This is also useful to help with the retrieval of all other extra
information that was left out in the first iteration.
This commit also updates the tests by ensuring they expect dicts rather than
tuples.
Diffstat (limited to 'gn3/db/traits.py')
-rw-r--r-- | gn3/db/traits.py | 141 |
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 |