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-rw-r--r--gn3/db/traits.py329
1 files changed, 233 insertions, 96 deletions
diff --git a/gn3/db/traits.py b/gn3/db/traits.py
index ae1939a..85cccfa 100644
--- a/gn3/db/traits.py
+++ b/gn3/db/traits.py
@@ -1,5 +1,7 @@
 """This class contains functions relating to trait data manipulation"""
 from typing import Any, Dict, Union
+from gn3.function_helpers import compose
+from gn3.db.datasets import retrieve_trait_dataset
 
 
 def get_trait_csv_sample_data(conn: Any,
@@ -76,159 +78,294 @@ def update_sample_data(conn: Any,
     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
-    """
-    columns = "Id, Name, FullName, ShortName{}".format(
-        ", DataScale" if trait_type == "ProbeSet" else "")
-    query = (
-        "SELECT {columns} "
-        "FROM {trait_type}Freeze "
-        "WHERE "
-        "public > %(threshold)s "
-        "AND "
-        "(Name = %(name)s OR FullName = %(name)s OR ShortName = %(name)s)").format(
-            columns=columns, trait_type=trait_type)
-    with connection.cursor() as cursor:
-        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 set_confidential_field(trait_type, trait_info):
+    """Post processing function for 'Publish' trait types.
+
+    It sets the value for the 'confidential' key."""
+    if trait_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}
+    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(
-            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 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_type, 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_type](trait_info)
+
+def load_publish_qtl_info(trait_info, conn):
+    query = (
+        "SELECT PublishXRef.Locus, PublishXRef.LRS, PublishXRef.additive "
+        "FROM PublishXRef, PublishFreeze "
+        "WHERE PublishXRef.Id = %(trait_name)s "
+        "AND PublishXRef.InbredSetId = PublishFreeze.InbredSetId "
+        "AND PublishFreeze.Id = %(dataset_id)s")
+    with conn.cursor() as cursor:
+        cursor.execute()
+        return dict(zip(["locus", "lrs", "additive"], cursor.fetchone()))
+    return {"locus": "", "lrs": "", "additive": ""}
+
+def load_probeset_qtl_info(trait_info, conn):
+    query = (
+        "SELECT ProbeSetXRef.Locus, ProbeSetXRef.LRS, ProbeSetXRef.pValue, "
+        "ProbeSetXRef.mean, ProbeSetXRef.additive "
+        "FROM ProbeSetXRef, ProbeSet "
+        "WHERE ProbeSetXRef.ProbeSetId = ProbeSet.Id "
+        " AND ProbeSet.Name = %(trait_name)s "
+        "AND ProbeSetXRef.ProbeSetFreezeId = %(dataset_id)s")
+    with conn.cursor() as cursor:
+        cursor.execute()
+        return dict(zip(
+            ["locus", "lrs", "pvalue", "mean", "additive"], cursor.fetchone()))
+    return {"locus": "", "lrs": "", "pvalue": "", "mean": "", "additive": ""}
+
+def load_qtl_info(qtl, trait_type, trait_info, conn):
+    if not qtl:
+        return trait_info
+    qtl_info_functions = {
+        "Publish": load_publish_qtl_info,
+        "ProbeSet": load_probeset_qtl_info
+    }
+    if trait_inf["name"] not in qtl_info_functions.keys():
+        return trait_info
+
+    return qtl_info_functions[trait_type](trait_info, conn)
+
+def build_trait_name(trait_fullname):
+    name_parts = trait_fullname.split("::")
+    assert len(name_parts) >= 2, "Name format error"
+    return {
+        "db": {"dataset_name": name_parts[0]},
+        "trait_fullname": trait_fullname,
+        "trait_name": name_parts[1],
+        "cellid": name_parts[2] if len(name_parts) == 3 else ""
+    }
+
+def retrieve_probeset_sequence(trait, conn):
+    query = (
+        "SELECT ProbeSet.BlatSeq "
+        "FROM ProbeSet, ProbeSetFreeze, ProbeSetXRef "
+        "WHERE ProbeSet.Id=ProbeSetXRef.ProbeSetId "
+        "AND ProbeSetFreeze.Id = ProbeSetXRef.ProbeSetFreezeId "
+        "AND ProbeSet.Name = %(trait_name)s "
+        "AND ProbeSetFreeze.Name = %(dataset_name)s")
+    with conn.cursor() as cursor:
+        cursor.execute(
+            query,
+            {
+                "trait_name": trait["trait_name"],
+                "dataset_name": trait["db"]["dataset_name"]
+            })
+        seq = cursor.fetchone()
+        return {**trait, "sequence": seq[0] if seq else ""}
 
 def retrieve_trait_info(
-        trait_type: str, trait_name: str, trait_dataset_id: int,
-        trait_dataset_name: str, conn: Any):
+        trait_type: str, threshold: int, trait_full_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 = build_trait_name(trait_full_name)
     trait_info_function_table = {
         "Publish": retrieve_publish_trait_info,
         "ProbeSet": retrieve_probeset_trait_info,
         "Geno": retrieve_geno_trait_info,
         "Temp": retrieve_temp_trait_info
     }
-    return trait_info_function_table[trait_type](
+
+    common_post_processing_fn = compose(
+        lambda ti: load_qtl_info(qtl, trait_type, ti, conn),
+        lambda ti: set_homologene_id_field(trait_type, ti, conn),
+        lambda ti: {"trait_type": trait_type, **ti},
+        lambda ti: {**trait, **ti},
+        set_haveinfo_field)
+
+    trait_post_processing_functions_table = {
+        "Publish": compose(
+            lambda ti: set_confidential_field(trait_type, ti),
+            common_post_processing_fn),
+        "ProbeSet": compose(
+            lambda ti: retrieve_probeset_sequence(ti, conn),
+            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])
+
+    trait_dataset = retrieve_trait_dataset(trait_type, trait, threshold, conn)
+    trait_info = retrieve_info(
         {
-            "trait_name": trait_name,
-            "trait_dataset_id": trait_dataset_id,
-            "trait_dataset_name":trait_dataset_name
+            "trait_name": trait["trait_name"],
+            "trait_dataset_id": trait_dataset["dataset_id"],
+            "trait_dataset_name": trait_dataset["dataset_name"]
         },
         conn)
+    return {
+        **trait_info,
+        "db": {**trait["db"], **trait_dataset},
+        "riset": trait_dataset["riset"]
+    }