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authorAlexander Kabui2021-09-27 16:09:46 +0300
committerAlexander Kabui2021-09-27 16:09:46 +0300
commit62054d914efb4322fba311f968cb27b662aa6806 (patch)
treef904231c44d87db36e9b794f57373daf6508a11c /gn3/db
parent6f25b8e2b1d1a34c054d325b1c37b303529b8827 (diff)
parent0cbb6ecde0315b7d6f021cb17406f5e5197e8a05 (diff)
downloadgenenetwork3-62054d914efb4322fba311f968cb27b662aa6806.tar.gz
fix merge conflicts
Diffstat (limited to 'gn3/db')
-rw-r--r--gn3/db/datasets.py52
-rw-r--r--gn3/db/genotypes.py184
-rw-r--r--gn3/db/traits.py78
3 files changed, 253 insertions, 61 deletions
diff --git a/gn3/db/datasets.py b/gn3/db/datasets.py
index 4a05499..6c328f5 100644
--- a/gn3/db/datasets.py
+++ b/gn3/db/datasets.py
@@ -119,9 +119,9 @@ def retrieve_dataset_name(
return fn_map[trait_type](threshold, dataset_name, conn)
-def retrieve_geno_riset_fields(name, conn):
+def retrieve_geno_group_fields(name, conn):
"""
- Retrieve the RISet, and RISetID values for various Geno trait types.
+ Retrieve the Group, and GroupID values for various Geno trait types.
"""
query = (
"SELECT InbredSet.Name, InbredSet.Id "
@@ -130,12 +130,12 @@ def retrieve_geno_riset_fields(name, conn):
"AND GenoFreeze.Name = %(name)s")
with conn.cursor() as cursor:
cursor.execute(query, {"name": name})
- return dict(zip(["riset", "risetid"], cursor.fetchone()))
+ return dict(zip(["group", "groupid"], cursor.fetchone()))
return {}
-def retrieve_publish_riset_fields(name, conn):
+def retrieve_publish_group_fields(name, conn):
"""
- Retrieve the RISet, and RISetID values for various Publish trait types.
+ Retrieve the Group, and GroupID values for various Publish trait types.
"""
query = (
"SELECT InbredSet.Name, InbredSet.Id "
@@ -144,12 +144,12 @@ def retrieve_publish_riset_fields(name, conn):
"AND PublishFreeze.Name = %(name)s")
with conn.cursor() as cursor:
cursor.execute(query, {"name": name})
- return dict(zip(["riset", "risetid"], cursor.fetchone()))
+ return dict(zip(["group", "groupid"], cursor.fetchone()))
return {}
-def retrieve_probeset_riset_fields(name, conn):
+def retrieve_probeset_group_fields(name, conn):
"""
- Retrieve the RISet, and RISetID values for various ProbeSet trait types.
+ Retrieve the Group, and GroupID values for various ProbeSet trait types.
"""
query = (
"SELECT InbredSet.Name, InbredSet.Id "
@@ -159,12 +159,12 @@ def retrieve_probeset_riset_fields(name, conn):
"AND ProbeSetFreeze.Name = %(name)s")
with conn.cursor() as cursor:
cursor.execute(query, {"name": name})
- return dict(zip(["riset", "risetid"], cursor.fetchone()))
+ return dict(zip(["group", "groupid"], cursor.fetchone()))
return {}
-def retrieve_temp_riset_fields(name, conn):
+def retrieve_temp_group_fields(name, conn):
"""
- Retrieve the RISet, and RISetID values for `Temp` trait types.
+ Retrieve the Group, and GroupID values for `Temp` trait types.
"""
query = (
"SELECT InbredSet.Name, InbredSet.Id "
@@ -173,30 +173,30 @@ def retrieve_temp_riset_fields(name, conn):
"AND Temp.Name = %(name)s")
with conn.cursor() as cursor:
cursor.execute(query, {"name": name})
- return dict(zip(["riset", "risetid"], cursor.fetchone()))
+ return dict(zip(["group", "groupid"], cursor.fetchone()))
return {}
-def retrieve_riset_fields(trait_type, trait_name, dataset_info, conn):
+def retrieve_group_fields(trait_type, trait_name, dataset_info, conn):
"""
- Retrieve the RISet, and RISetID values for various trait types.
+ Retrieve the Group, and GroupID values for various trait types.
"""
- riset_fns_map = {
- "Geno": retrieve_geno_riset_fields,
- "Publish": retrieve_publish_riset_fields,
- "ProbeSet": retrieve_probeset_riset_fields
+ group_fns_map = {
+ "Geno": retrieve_geno_group_fields,
+ "Publish": retrieve_publish_group_fields,
+ "ProbeSet": retrieve_probeset_group_fields
}
if trait_type == "Temp":
- riset_info = retrieve_temp_riset_fields(trait_name, conn)
+ group_info = retrieve_temp_group_fields(trait_name, conn)
else:
- riset_info = riset_fns_map[trait_type](dataset_info["dataset_name"], conn)
+ group_info = group_fns_map[trait_type](dataset_info["dataset_name"], conn)
return {
**dataset_info,
- **riset_info,
- "riset": (
- "BXD" if riset_info.get("riset") == "BXD300"
- else riset_info.get("riset", ""))
+ **group_info,
+ "group": (
+ "BXD" if group_info.get("group") == "BXD300"
+ else group_info.get("group", ""))
}
def retrieve_temp_trait_dataset():
@@ -281,11 +281,11 @@ def retrieve_trait_dataset(trait_type, trait, threshold, conn):
trait_type, threshold, trait["trait_name"],
trait["db"]["dataset_name"], conn)
}
- riset = retrieve_riset_fields(
+ group = retrieve_group_fields(
trait_type, trait["trait_name"], dataset_name_info, conn)
return {
"display_name": dataset_name_info["dataset_name"],
**dataset_name_info,
**dataset_fns[trait_type](),
- **riset
+ **group
}
diff --git a/gn3/db/genotypes.py b/gn3/db/genotypes.py
new file mode 100644
index 0000000..8f18cac
--- /dev/null
+++ b/gn3/db/genotypes.py
@@ -0,0 +1,184 @@
+"""Genotype utilities"""
+
+import os
+import gzip
+from typing import Union, TextIO
+
+from gn3.settings import GENOTYPE_FILES
+
+def build_genotype_file(
+ geno_name: str, base_dir: str = GENOTYPE_FILES,
+ extension: str = "geno"):
+ """Build the absolute path for the genotype file."""
+ return "{}/{}.{}".format(os.path.abspath(base_dir), geno_name, extension)
+
+def load_genotype_samples(genotype_filename: str, file_type: str = "geno"):
+ """
+ Load sample of samples from genotype files.
+
+ DESCRIPTION:
+ Traits can contain a varied number of samples, some of which do not exist in
+ certain genotypes. In order to compute QTLs, GEMMAs, etc, we need to ensure
+ to pick only those samples that exist in the genotype under consideration
+ for the traits used in the computation.
+
+ This function loads a list of samples from the genotype files for use in
+ filtering out unusable samples.
+
+
+ PARAMETERS:
+ genotype_filename: The absolute path to the genotype file to load the
+ samples from.
+ file_type: The type of file. Currently supported values are 'geno' and
+ 'plink'.
+ """
+ file_type_fns = {
+ "geno": __load_genotype_samples_from_geno,
+ "plink": __load_genotype_samples_from_plink
+ }
+ return file_type_fns[file_type](genotype_filename)
+
+def __load_genotype_samples_from_geno(genotype_filename: str):
+ """
+ Helper function for `load_genotype_samples` function.
+
+ Loads samples from '.geno' files.
+ """
+ gzipped_filename = "{}.gz".format(genotype_filename)
+ if os.path.isfile(gzipped_filename):
+ genofile: Union[TextIO, gzip.GzipFile] = gzip.open(gzipped_filename)
+ else:
+ genofile = open(genotype_filename)
+
+ for row in genofile:
+ line = row.strip()
+ if (not line) or (line.startswith(("#", "@"))): # type: ignore[arg-type]
+ continue
+ break
+
+ headers = line.split("\t") # type: ignore[arg-type]
+ if headers[3] == "Mb":
+ return headers[4:]
+ return headers[3:]
+
+def __load_genotype_samples_from_plink(genotype_filename: str):
+ """
+ Helper function for `load_genotype_samples` function.
+
+ Loads samples from '.plink' files.
+ """
+ genofile = open(genotype_filename)
+ return [line.split(" ")[1] for line in genofile]
+
+def parse_genotype_labels(lines: list):
+ """
+ Parse label lines into usable genotype values
+
+ DESCRIPTION:
+ Reworks
+ https://github.com/genenetwork/genenetwork1/blob/master/web/webqtl/utility/gen_geno_ob.py#L75-L93
+ """
+ acceptable_labels = ["name", "filler", "type", "mat", "pat", "het", "unk"]
+ def __parse_label(line):
+ label, value = [l.strip() for l in line[1:].split(":")]
+ if label not in acceptable_labels:
+ return None
+ if label == "name":
+ return ("group", value)
+ return (label, value)
+ return tuple(
+ item for item in (__parse_label(line) for line in lines)
+ if item is not None)
+
+def parse_genotype_header(line: str, parlist: tuple = tuple()):
+ """
+ Parse the genotype file header line
+
+ DESCRIPTION:
+ Reworks
+ https://github.com/genenetwork/genenetwork1/blob/master/web/webqtl/utility/gen_geno_ob.py#L94-L114
+ """
+ items = [item.strip() for item in line.split("\t")]
+ mbmap = "Mb" in items
+ prgy = ((parlist + tuple(items[4:])) if mbmap
+ else (parlist + tuple(items[3:])))
+ return (
+ ("Mbmap", mbmap),
+ ("cm_column", items.index("cM")),
+ ("mb_column", None if not mbmap else items.index("Mb")),
+ ("prgy", prgy),
+ ("nprgy", len(prgy)))
+
+def parse_genotype_marker(line: str, geno_obj: dict, parlist: tuple):
+ """
+ Parse a data line in a genotype file
+
+ DESCRIPTION:
+ Reworks
+ https://github.com/genenetwork/genenetwork1/blob/master/web/webqtl/utility/gen_geno_ob.py#L143-L190
+ """
+ # pylint: disable=W0702
+ marker_row = [item.strip() for item in line.split("\t")]
+ geno_table = {
+ geno_obj["mat"]: -1, geno_obj["pat"]: 1, geno_obj["het"]: 0,
+ geno_obj["unk"]: "U"
+ }
+ start_pos = 4 if geno_obj["Mbmap"] else 3
+ if len(parlist) > 0:
+ start_pos = start_pos + 2
+
+ alleles = marker_row[start_pos:]
+ genotype = tuple(
+ (geno_table[allele] if allele in geno_table.keys() else "U")
+ for allele in alleles)
+ if len(parlist) > 0:
+ genotype = (-1, 1) + genotype
+ try:
+ cm_val = float(geno_obj["cm_column"])
+ except:
+ if geno_obj["Mbmap"]:
+ cm_val = float(geno_obj["mb_column"])
+ else:
+ cm_val = 0
+ return (
+ ("chr", marker_row[0]),
+ ("name", marker_row[1]),
+ ("cM", cm_val),
+ ("Mb", float(geno_obj["mb_column"]) if geno_obj["Mbmap"] else None),
+ ("genotype", genotype))
+
+def build_genotype_chromosomes(geno_obj, markers):
+ """
+ Build up the chromosomes from the given markers and partially built geno
+ object
+ """
+ mrks = [dict(marker) for marker in markers]
+ chr_names = {marker["chr"] for marker in mrks}
+ return tuple((
+ ("name", chr_name), ("mb_exists", geno_obj["Mbmap"]), ("cm_column", 2),
+ ("mb_column", geno_obj["mb_column"]),
+ ("loci", tuple(marker for marker in mrks if marker["chr"] == chr_name)))
+ for chr_name in sorted(chr_names))
+
+def parse_genotype_file(filename: str, parlist: tuple = tuple()):
+ """
+ Parse the provided genotype file into a usable pytho3 data structure.
+ """
+ with open(filename, "r") as infile:
+ contents = infile.readlines()
+
+ lines = tuple(line for line in contents if
+ ((not line.strip().startswith("#")) and
+ (not line.strip() == "")))
+ labels = parse_genotype_labels(
+ [line for line in lines if line.startswith("@")])
+ data_lines = tuple(line for line in lines if not line.startswith("@"))
+ header = parse_genotype_header(data_lines[0], parlist)
+ geno_obj = dict(labels + header)
+ markers = tuple(
+ [parse_genotype_marker(line, geno_obj, parlist)
+ for line in data_lines[1:]])
+ chromosomes = tuple(
+ dict(chromosome) for chromosome in
+ build_genotype_chromosomes(geno_obj, markers))
+ return {**geno_obj, "chromosomes": chromosomes}
diff --git a/gn3/db/traits.py b/gn3/db/traits.py
index 1031e44..f2673c8 100644
--- a/gn3/db/traits.py
+++ b/gn3/db/traits.py
@@ -1,5 +1,8 @@
"""This class contains functions relating to trait data manipulation"""
+import os
from typing import Any, Dict, Union, Sequence
+from gn3.settings import TMPDIR
+from gn3.random import random_string
from gn3.function_helpers import compose
from gn3.db.datasets import retrieve_trait_dataset
@@ -43,7 +46,7 @@ def update_sample_data(conn: Any,
count: Union[int, str]):
"""Given the right parameters, update sample-data from the relevant
table."""
- # pylint: disable=[R0913, R0914]
+ # pylint: disable=[R0913, R0914, C0103]
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")
@@ -60,22 +63,22 @@ def update_sample_data(conn: Any,
with conn.cursor() as cursor:
# Update the Strains table
cursor.execute(STRAIN_ID_SQL, (strain_name, strain_id))
- updated_strains: int = cursor.rowcount
+ updated_strains = 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
+ updated_published_data = 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
+ updated_se_data = 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
+ updated_n_strains = cursor.rowcount
return (updated_strains, updated_published_data,
updated_se_data, updated_n_strains)
@@ -223,7 +226,7 @@ def set_homologene_id_field_probeset(trait_info, conn):
"""
query = (
"SELECT HomologeneId FROM Homologene, Species, InbredSet"
- " WHERE Homologene.GeneId = %(geneid)s AND InbredSet.Name = %(riset)s"
+ " WHERE Homologene.GeneId = %(geneid)s AND InbredSet.Name = %(group)s"
" AND InbredSet.SpeciesId = Species.Id AND"
" Species.TaxonomyId = Homologene.TaxonomyId")
with conn.cursor() as cursor:
@@ -231,7 +234,7 @@ def set_homologene_id_field_probeset(trait_info, conn):
query,
{
k:v for k, v in trait_info.items()
- if k in ["geneid", "riset"]
+ if k in ["geneid", "group"]
})
res = cursor.fetchone()
if res:
@@ -419,7 +422,7 @@ def retrieve_trait_info(
if trait_info["haveinfo"]:
return {
**trait_post_processing_functions_table[trait_dataset_type](
- {**trait_info, "riset": trait_dataset["riset"]}),
+ {**trait_info, "group": trait_dataset["group"]}),
"db": {**trait["db"], **trait_dataset}
}
return trait_info
@@ -442,18 +445,18 @@ def retrieve_temp_trait_data(trait_info: dict, conn: Any):
query,
{"trait_name": trait_info["trait_name"]})
return [dict(zip(
- ["strain_name", "value", "se_error", "nstrain", "id"], row))
+ ["sample_name", "value", "se_error", "nstrain", "id"], row))
for row in cursor.fetchall()]
return []
-def retrieve_species_id(riset, conn: Any):
+def retrieve_species_id(group, conn: Any):
"""
- Retrieve a species id given the RISet value
+ Retrieve a species id given the Group value
"""
with conn.cursor as cursor:
cursor.execute(
- "SELECT SpeciesId from InbredSet WHERE Name = %(riset)s",
- {"riset": riset})
+ "SELECT SpeciesId from InbredSet WHERE Name = %(group)s",
+ {"group": group})
return cursor.fetchone()[0]
return None
@@ -479,9 +482,9 @@ def retrieve_geno_trait_data(trait_info: Dict, conn: Any):
{"trait_name": trait_info["trait_name"],
"dataset_name": trait_info["db"]["dataset_name"],
"species_id": retrieve_species_id(
- trait_info["db"]["riset"], conn)})
+ trait_info["db"]["group"], conn)})
return [dict(zip(
- ["strain_name", "value", "se_error", "id"], row))
+ ["sample_name", "value", "se_error", "id"], row))
for row in cursor.fetchall()]
return []
@@ -512,7 +515,7 @@ def retrieve_publish_trait_data(trait_info: Dict, conn: Any):
{"trait_name": trait_info["trait_name"],
"dataset_id": trait_info["db"]["dataset_id"]})
return [dict(zip(
- ["strain_name", "value", "se_error", "nstrain", "id"], row))
+ ["sample_name", "value", "se_error", "nstrain", "id"], row))
for row in cursor.fetchall()]
return []
@@ -545,7 +548,7 @@ def retrieve_cellid_trait_data(trait_info: Dict, conn: Any):
"trait_name": trait_info["trait_name"],
"dataset_id": trait_info["db"]["dataset_id"]})
return [dict(zip(
- ["strain_name", "value", "se_error", "id"], row))
+ ["sample_name", "value", "se_error", "id"], row))
for row in cursor.fetchall()]
return []
@@ -574,29 +577,29 @@ def retrieve_probeset_trait_data(trait_info: Dict, conn: Any):
{"trait_name": trait_info["trait_name"],
"dataset_name": trait_info["db"]["dataset_name"]})
return [dict(zip(
- ["strain_name", "value", "se_error", "id"], row))
+ ["sample_name", "value", "se_error", "id"], row))
for row in cursor.fetchall()]
return []
-def with_strainlist_data_setup(strainlist: Sequence[str]):
+def with_samplelist_data_setup(samplelist: Sequence[str]):
"""
- Build function that computes the trait data from provided list of strains.
+ Build function that computes the trait data from provided list of samples.
PARAMETERS
- strainlist: (list)
- A list of strain names
+ samplelist: (list)
+ A list of sample names
RETURNS:
Returns a function that given some data from the database, computes the
- strain's value, variance and ndata values, only if the strain is present
- in the provided `strainlist` variable.
+ sample's value, variance and ndata values, only if the sample is present
+ in the provided `samplelist` variable.
"""
def setup_fn(tdata):
- if tdata["strain_name"] in strainlist:
+ if tdata["sample_name"] in samplelist:
val = tdata["value"]
if val is not None:
return {
- "strain_name": tdata["strain_name"],
+ "sample_name": tdata["sample_name"],
"value": val,
"variance": tdata["se_error"],
"ndata": tdata.get("nstrain", None)
@@ -604,19 +607,19 @@ def with_strainlist_data_setup(strainlist: Sequence[str]):
return None
return setup_fn
-def without_strainlist_data_setup():
+def without_samplelist_data_setup():
"""
Build function that computes the trait data.
RETURNS:
Returns a function that given some data from the database, computes the
- strain's value, variance and ndata values.
+ sample's value, variance and ndata values.
"""
def setup_fn(tdata):
val = tdata["value"]
if val is not None:
return {
- "strain_name": tdata["strain_name"],
+ "sample_name": tdata["sample_name"],
"value": val,
"variance": tdata["se_error"],
"ndata": tdata.get("nstrain", None)
@@ -624,7 +627,7 @@ def without_strainlist_data_setup():
return None
return setup_fn
-def retrieve_trait_data(trait: dict, conn: Any, strainlist: Sequence[str] = tuple()):
+def retrieve_trait_data(trait: dict, conn: Any, samplelist: Sequence[str] = tuple()):
"""
Retrieve trait data
@@ -647,22 +650,27 @@ def retrieve_trait_data(trait: dict, conn: Any, strainlist: Sequence[str] = tupl
if results:
# do something with mysqlid
mysqlid = results[0]["id"]
- if strainlist:
+ if samplelist:
data = [
item for item in
- map(with_strainlist_data_setup(strainlist), results)
+ map(with_samplelist_data_setup(samplelist), results)
if item is not None]
else:
data = [
item for item in
- map(without_strainlist_data_setup(), results)
+ map(without_samplelist_data_setup(), results)
if item is not None]
return {
"mysqlid": mysqlid,
"data": dict(map(
lambda x: (
- x["strain_name"],
- {k:v for k, v in x.items() if x != "strain_name"}),
+ x["sample_name"],
+ {k:v for k, v in x.items() if x != "sample_name"}),
data))}
return {}
+
+def generate_traits_filename(base_path: str = TMPDIR):
+ """Generate a unique filename for use with generated traits files."""
+ return "{}/traits_test_file_{}.txt".format(
+ os.path.abspath(base_path), random_string(10))