"""This class contains functions relating to trait data manipulation""" from typing import Any, Dict, Union from gn3.function_helpers import compose def get_trait_csv_sample_data(conn: Any, trait_name: int, phenotype_id: int): """Fetch a trait and return it as a csv string""" sql = ("SELECT Strain.Id, PublishData.Id, Strain.Name, " "PublishData.value, " "PublishSE.error, NStrain.count FROM " "(PublishData, Strain, PublishXRef, PublishFreeze) " "LEFT JOIN PublishSE ON " "(PublishSE.DataId = PublishData.Id AND " "PublishSE.StrainId = PublishData.StrainId) " "LEFT JOIN NStrain ON (NStrain.DataId = PublishData.Id AND " "NStrain.StrainId = PublishData.StrainId) WHERE " "PublishXRef.InbredSetId = PublishFreeze.InbredSetId AND " "PublishData.Id = PublishXRef.DataId AND " "PublishXRef.Id = %s AND PublishXRef.PhenotypeId = %s " "AND PublishData.StrainId = Strain.Id Order BY Strain.Name") csv_data = ["Strain Id,Strain Name,Value,SE,Count"] publishdata_id = "" with conn.cursor() as cursor: cursor.execute(sql, (trait_name, phenotype_id,)) for record in cursor.fetchall(): (strain_id, publishdata_id, strain_name, value, error, count) = record csv_data.append( ",".join([str(val) if val else "x" for val in (strain_id, strain_name, value, error, count)])) return f"# Publish Data Id: {publishdata_id}\n\n" + "\n".join(csv_data) def update_sample_data(conn: Any, strain_name: str, strain_id: int, publish_data_id: int, value: Union[int, float, str], error: Union[int, float, str], count: Union[int, str]): """Given the right parameters, update sample-data from the relevant table.""" STRAIN_ID_SQL: str = "UPDATE Strain SET Name = %s WHERE Id = %s" PUBLISH_DATA_SQL: str = ("UPDATE PublishData SET value = %s " "WHERE StrainId = %s AND Id = %s") PUBLISH_SE_SQL: str = ("UPDATE PublishSE SET error = %s " "WHERE StrainId = %s AND DataId = %s") N_STRAIN_SQL: str = ("UPDATE NStrain SET count = %s " "WHERE StrainId = %s AND DataId = %s") updated_strains: int = 0 updated_published_data: int = 0 updated_se_data: int = 0 updated_n_strains: int = 0 with conn.cursor() as cursor: # Update the Strains table cursor.execute(STRAIN_ID_SQL, (strain_name, strain_id)) updated_strains: int = cursor.rowcount # Update the PublishData table cursor.execute(PUBLISH_DATA_SQL, (None if value == "x" else value, strain_id, publish_data_id)) updated_published_data: int = cursor.rowcount # Update the PublishSE table cursor.execute(PUBLISH_SE_SQL, (None if error == "x" else error, strain_id, publish_data_id)) updated_se_data: int = cursor.rowcount # Update the NStrain table cursor.execute(N_STRAIN_SQL, (None if count == "x" else count, strain_id, publish_data_id)) updated_n_strains: int = cursor.rowcount return (updated_strains, updated_published_data, updated_se_data, updated_n_strains) def retrieve_trait_dataset_name( trait_type: str, threshold: int, name: str, connection: Any): """ Retrieve the name of a trait given the trait's name This is extracted from the `webqtlDataset.retrieveName` function as is implemented at https://github.com/genenetwork/genenetwork1/blob/master/web/webqtl/base/webqtlDataset.py#L140-L169 """ table_map = { "ProbeSet": "ProbeSetFreeze", "Publish": "PublishFreeze", "Geno": "GenoFreeze", "Temp": "TempFreeze"} columns = "Id, Name, FullName, ShortName{}".format( ", DataScale" if trait_type == "ProbeSet" else "") query = ( "SELECT %(columns)s " "FROM %(table)s " "WHERE " "public > %(threshold)s " "AND " "(Name = %(name)s OR FullName = %(name)s OR ShortName = %(name)s)") with connection.cursor() as cursor: cursor.execute( query, { "table": table_map[trait_type], "columns": columns, "threshold": threshold, "name": name }) return cursor.fetchone() 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( query, { k:v for k, v in trait_data_source.items() if k in ["trait_name", "trait_dataset_id"] }) return dict(zip([k.lower() for k in keys], cursor.fetchone())) def set_confidential_field(trait_info): """Post processing function for 'Publish' trait types. It sets the value for the 'confidential' key.""" if trait_info["type"] == "Publish": return { **trait_info, "confidential": 1 if ( trait_info.get("pre_publication_description", None) and not trait_info.get("pubmed_id", None)) else 0} else: return trait_info 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( query, { k:v for k, v in trait_data_source.items() if k in ["trait_name", "trait_dataset_name"] }) 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( query, { k:v for k, v in trait_data_source.items() if k in ["trait_name", "trait_dataset_name"] }) 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( query, { k:v for k, v in trait_data_source.items() if k in ["trait_name"] }) return dict(zip(keys, cursor.fetchone())) def set_haveinfo_field(trait_info): """ Common postprocessing function for all trait types. Sets the value for the 'haveinfo' field.""" return {**trait_info, "haveinfo": 1 if trait_info else 0} def set_homologene_id_field_probeset(trait_info, conn): """ Postprocessing function for 'ProbeSet' traits. Sets the value for the 'homologene' key. """ query = ( "SELECT HomologeneId FROM Homologene, Species, InbredSet" " WHERE Homologene.GeneId = %(geneid)s AND InbredSet.Name = %(riset)s" " AND InbredSet.SpeciesId = Species.Id AND" " Species.TaxonomyId = Homologene.TaxonomyId") with conn.cursor() as cursor: cursor.execute( query, { k:v for k, v in trait_info.items() if k in ["geneid", "riset"] }) res = cursor.fetchone() if res: return {**trait_info, "homologeneid": res[0]} return {**trait_info, "homologeneid": None} def set_homologene_id_field(trait_info, conn): """ Common postprocessing function for all trait types. Sets the value for the 'homologene' key.""" set_to_null = lambda ti: {**ti, "homologeneid": None} functions_table = { "Temp": set_to_null, "Geno": set_to_null, "Publish": set_to_null, "ProbeSet": lambda ti: set_homologene_id_field_probeset(ti, conn) } return functions_table[trait_info["type"]](trait_info) def retrieve_trait_info( trait_type: str, trait_name: str, trait_dataset_id: int, 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 This function, or the dependent functions, might be incomplete as they are currently.""" trait_info_function_table = { "Publish": retrieve_publish_trait_info, "ProbeSet": retrieve_probeset_trait_info, "Geno": retrieve_geno_trait_info, "Temp": retrieve_temp_trait_info } common_post_processing_fn = compose( lambda ti: set_homologene_id_field(ti, conn), lambda ti: {"type": trait_type, **ti}, set_haveinfo_field) trait_post_processing_functions_table = { "Publish": compose(set_confidential_field, common_post_processing_fn), "ProbeSet": compose(common_post_processing_fn), "Geno": common_post_processing_fn, "Temp": common_post_processing_fn } retrieve_info = compose( trait_post_processing_functions_table[trait_type], trait_info_function_table[trait_type]) return retrieve_info( { "trait_name": trait_name, "trait_dataset_id": trait_dataset_id, "trait_dataset_name":trait_dataset_name }, conn)