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authorBonfaceKilz2020-07-21 22:40:14 +0300
committerBonfaceKilz2020-07-24 03:47:42 +0300
commit7dff20b84aaab9c5c9e15269a1716cd14d953db1 (patch)
treea619ed945a8448496c0534b10a3ebcec2868909e
parent2cbda12fe9fa9fca4d27796b2a8eb719e659dc7f (diff)
downloadgenenetwork2-7dff20b84aaab9c5c9e15269a1716cd14d953db1.tar.gz
Apply autopep-8
* wqflask/base/data_set.py: Apply autopep-8
-rw-r--r--wqflask/base/data_set.py261
1 files changed, 141 insertions, 120 deletions
diff --git a/wqflask/base/data_set.py b/wqflask/base/data_set.py
index 116d1d24..f9705a22 100644
--- a/wqflask/base/data_set.py
+++ b/wqflask/base/data_set.py
@@ -19,6 +19,23 @@
# This module is used by GeneNetwork project (www.genenetwork.org)
from __future__ import absolute_import, print_function, division
+from db.call import fetchall, fetchone, fetch1
+from utility.logger import getLogger
+from utility.tools import USE_GN_SERVER, USE_REDIS, flat_files, flat_file_exists, GN2_BASE_URL
+from db.gn_server import menu_main
+from pprint import pformat as pf
+from MySQLdb import escape_string as escape
+from maintenance import get_group_samplelists
+from utility.tools import locate, locate_ignore_error, flat_files
+from utility import gen_geno_ob
+from utility import chunks
+from utility.benchmark import Bench
+from utility import webqtlUtil
+from db import webqtlDatabaseFunction
+from base import species
+from base import webqtlConfig
+import reaper
+from flask import Flask, g
import os
import math
import string
@@ -34,38 +51,15 @@ import itertools
from redis import Redis
Redis = Redis()
-from flask import Flask, g
-
-import reaper
-
-from base import webqtlConfig
-from base import species
-from db import webqtlDatabaseFunction
-from utility import webqtlUtil
-from utility.benchmark import Bench
-from utility import chunks
-from utility import gen_geno_ob
-from utility.tools import locate, locate_ignore_error, flat_files
-
-from maintenance import get_group_samplelists
-from MySQLdb import escape_string as escape
-from pprint import pformat as pf
-from db.gn_server import menu_main
-from db.call import fetchall,fetchone,fetch1
-
-from utility.tools import USE_GN_SERVER, USE_REDIS, flat_files, flat_file_exists, GN2_BASE_URL
-from utility.logger import getLogger
-logger = getLogger(__name__ )
+logger = getLogger(__name__)
# Used by create_database to instantiate objects
# Each subclass will add to this
DS_NAME_MAP = {}
-def my_add(x, y):
- return x + y
-def create_dataset(dataset_name, dataset_type = None, get_samplelist = True, group_name = None):
+def create_dataset(dataset_name, dataset_type=None, get_samplelist=True, group_name=None):
if dataset_name == "Temp":
dataset_type = "Temp"
@@ -79,6 +73,7 @@ def create_dataset(dataset_name, dataset_type = None, get_samplelist = True, gro
else:
return dataset_class(dataset_name, get_samplelist)
+
class Dataset_Types(object):
def __init__(self):
@@ -101,9 +96,10 @@ Publish or ProbeSet. E.g.
data = Redis.get("dataset_structure")
if data:
self.datasets = json.loads(data)
- else: #ZS: I don't think this should ever run unless Redis is emptied
+ else: # ZS: I don't think this should ever run unless Redis is emptied
try:
- data = json.loads(requests.get(GN2_BASE_URL + "/api/v_pre1/gen_dropdown", timeout = 5).content)
+ data = json.loads(requests.get(
+ GN2_BASE_URL + "/api/v_pre1/gen_dropdown", timeout=5).content)
for species in data['datasets']:
for group in data['datasets'][species]:
for dataset_type in data['datasets'][species][group]:
@@ -122,7 +118,7 @@ Publish or ProbeSet. E.g.
Redis.set("dataset_structure", json.dumps(self.datasets))
# Set LOG_LEVEL_DEBUG=5 to see the following:
- logger.debugf(5, "datasets",self.datasets)
+ logger.debugf(5, "datasets", self.datasets)
def __call__(self, name):
if name not in self.datasets:
@@ -155,7 +151,7 @@ Publish or ProbeSet. E.g.
Redis.set("dataset_structure", json.dumps(self.datasets))
return self.datasets[name]
- #ZS: For when there isn't an InfoFiles ID; not sure if this and the preceding query are both necessary
+ # ZS: For when there isn't an InfoFiles ID; not sure if this and the preceding query are both necessary
other_pheno_query = """SELECT PublishFreeze.Name
FROM PublishFreeze, InbredSet
WHERE InbredSet.Name = '{}' AND
@@ -167,7 +163,7 @@ Publish or ProbeSet. E.g.
Redis.set("dataset_structure", json.dumps(self.datasets))
return self.datasets[name]
- geno_query = """
+ geno_query = """
SELECT
GenoFreeze.Id
FROM
@@ -182,14 +178,16 @@ Publish or ProbeSet. E.g.
Redis.set("dataset_structure", json.dumps(self.datasets))
return self.datasets[name]
- #ZS: It shouldn't ever reach this
+ # ZS: It shouldn't ever reach this
return None
else:
return self.datasets[name]
+
# Do the intensive work at startup one time only
Dataset_Getter = Dataset_Types()
+
def create_datasets_list():
if USE_REDIS:
key = "all_datasets"
@@ -209,10 +207,10 @@ def create_datasets_list():
for dataset_type in type_dict:
query = "SELECT Name FROM {}".format(type_dict[dataset_type])
for result in fetchall(query):
- #The query at the beginning of this function isn't
- #necessary here, but still would rather just reuse
- #it logger.debug("type: {}\tname:
- #{}".format(dataset_type, result.Name))
+ # The query at the beginning of this function isn't
+ # necessary here, but still would rather just reuse
+ # it logger.debug("type: {}\tname:
+ # {}".format(dataset_type, result.Name))
dataset = create_dataset(result.Name, dataset_type)
datasets.append(dataset)
@@ -239,8 +237,9 @@ def mescape(*items):
class Markers(object):
"""Todo: Build in cacheing so it saves us reading the same file more than once"""
+
def __init__(self, name):
- json_data_fh = open(locate(name + ".json",'genotype/json'))
+ json_data_fh = open(locate(name + ".json", 'genotype/json'))
markers = []
with open("%s/%s_snps.txt" % (flat_files('genotype/bimbam'), name), 'r') as bimbam_fh:
@@ -272,7 +271,7 @@ class Markers(object):
if type(p_values) is list:
# THIS IS only needed for the case when we are limiting the number of p-values calculated
- #if len(self.markers) > len(p_values):
+ # if len(self.markers) > len(p_values):
# self.markers = self.markers[:len(p_values)]
for marker, p_value in itertools.izip(self.markers, p_values):
@@ -284,7 +283,7 @@ class Markers(object):
marker['lrs_value'] = 0
else:
marker['lod_score'] = -math.log10(marker['p_value'])
- #Using -log(p) for the LRS; need to ask Rob how he wants to get LRS from p-values
+ # Using -log(p) for the LRS; need to ask Rob how he wants to get LRS from p-values
marker['lrs_value'] = -math.log10(marker['p_value']) * 4.61
elif type(p_values) is dict:
filtered_markers = []
@@ -299,18 +298,20 @@ class Markers(object):
marker['lrs_value'] = 0
else:
marker['lod_score'] = -math.log10(marker['p_value'])
- #Using -log(p) for the LRS; need to ask Rob how he wants to get LRS from p-values
- marker['lrs_value'] = -math.log10(marker['p_value']) * 4.61
+ # Using -log(p) for the LRS; need to ask Rob how he wants to get LRS from p-values
+ marker['lrs_value'] = - \
+ math.log10(marker['p_value']) * 4.61
filtered_markers.append(marker)
- #else:
+ # else:
#logger.debug("marker {} NOT in p_values".format(i))
- #self.markers.remove(marker)
+ # self.markers.remove(marker)
#del self.markers[i]
self.markers = filtered_markers
+
class HumanMarkers(Markers):
- def __init__(self, name, specified_markers = []):
+ def __init__(self, name, specified_markers=[]):
marker_data_fh = open(flat_files('mapping') + '/' + name + '.bim')
self.markers = []
for line in marker_data_fh:
@@ -333,7 +334,6 @@ class HumanMarkers(Markers):
#logger.debug("markers is: ", pf(self.markers))
-
def add_pvalues(self, p_values):
super(HumanMarkers, self).add_pvalues(p_values)
@@ -346,12 +346,15 @@ class DatasetGroup(object):
has multiple datasets associated with it.
"""
+
def __init__(self, dataset, name=None):
"""This sets self.group and self.group_id"""
if name == None:
- self.name, self.id, self.genetic_type = fetchone(dataset.query_for_group)
+ self.name, self.id, self.genetic_type = fetchone(
+ dataset.query_for_group)
else:
- self.name, self.id, self.genetic_type = fetchone("SELECT InbredSet.Name, InbredSet.Id, InbredSet.GeneticType FROM InbredSet where Name='%s'" % name)
+ self.name, self.id, self.genetic_type = fetchone(
+ "SELECT InbredSet.Name, InbredSet.Id, InbredSet.GeneticType FROM InbredSet where Name='%s'" % name)
if self.name == 'BXD300':
self.name = "BXD"
@@ -370,7 +373,8 @@ class DatasetGroup(object):
def get_mapping_methods(self):
- mapping_id = g.db.execute("select MappingMethodId from InbredSet where Name= '%s'" % self.name).fetchone()[0]
+ mapping_id = g.db.execute(
+ "select MappingMethodId from InbredSet where Name= '%s'" % self.name).fetchone()[0]
if mapping_id == "1":
mapping_names = ["GEMMA", "QTLReaper", "R/qtl"]
elif mapping_id == "2":
@@ -434,9 +438,10 @@ class DatasetGroup(object):
else:
logger.debug("Cache not hit")
- genotype_fn = locate_ignore_error(self.name+".geno",'genotype')
+ genotype_fn = locate_ignore_error(self.name+".geno", 'genotype')
if genotype_fn:
- self.samplelist = get_group_samplelists.get_samplelist("geno", genotype_fn)
+ self.samplelist = get_group_samplelists.get_samplelist(
+ "geno", genotype_fn)
else:
self.samplelist = None
@@ -452,15 +457,16 @@ class DatasetGroup(object):
def read_genotype_file(self, use_reaper=False):
'''Read genotype from .geno file instead of database'''
- #genotype_1 is Dataset Object without parents and f1
- #genotype_2 is Dataset Object with parents and f1 (not for intercross)
+ # genotype_1 is Dataset Object without parents and f1
+ # genotype_2 is Dataset Object with parents and f1 (not for intercross)
#genotype_1 = reaper.Dataset()
# reaper barfs on unicode filenames, so here we ensure it's a string
if self.genofile:
- if "RData" in self.genofile: #ZS: This is a temporary fix; I need to change the way the JSON files that point to multiple genotype files are structured to point to other file types like RData
- full_filename = str(locate(self.genofile.split(".")[0] + ".geno", 'genotype'))
+ if "RData" in self.genofile: # ZS: This is a temporary fix; I need to change the way the JSON files that point to multiple genotype files are structured to point to other file types like RData
+ full_filename = str(
+ locate(self.genofile.split(".")[0] + ".geno", 'genotype'))
else:
full_filename = str(locate(self.genofile, 'genotype'))
else:
@@ -473,11 +479,12 @@ class DatasetGroup(object):
genotype_1 = gen_geno_ob.genotype(full_filename)
if genotype_1.type == "group" and self.parlist:
- genotype_2 = genotype_1.add(Mat=self.parlist[0], Pat=self.parlist[1]) #, F1=_f1)
+ genotype_2 = genotype_1.add(
+ Mat=self.parlist[0], Pat=self.parlist[1]) # , F1=_f1)
else:
genotype_2 = genotype_1
- #determine default genotype object
+ # determine default genotype object
if self.incparentsf1 and genotype_1.type != "intercross":
genotype = genotype_2
else:
@@ -488,7 +495,8 @@ class DatasetGroup(object):
return genotype
-def datasets(group_name, this_group = None):
+
+def datasets(group_name, this_group=None):
key = "group_dataset_menu:v2:" + group_name
dataset_menu = []
the_results = fetchall('''
@@ -511,12 +519,13 @@ def datasets(group_name, this_group = None):
and InbredSet.Name like %s
ORDER BY Tissue.Name, ProbeSetFreeze.OrderList DESC)
''' % (group_name,
- group_name,
- "'" + group_name + "'"))
+ group_name,
+ "'" + group_name + "'"))
sorted_results = sorted(the_results, key=lambda kv: kv[0])
- pheno_inserted = False #ZS: This is kind of awkward, but need to ensure Phenotypes show up before Genotypes in dropdown
+ # ZS: This is kind of awkward, but need to ensure Phenotypes show up before Genotypes in dropdown
+ pheno_inserted = False
geno_inserted = False
for dataset_item in sorted_results:
tissue_name = dataset_item[0]
@@ -524,13 +533,16 @@ def datasets(group_name, this_group = None):
dataset_short = dataset_item[2]
if tissue_name in ['#PublishFreeze', '#GenoFreeze']:
if tissue_name == '#PublishFreeze' and (dataset_short == group_name + 'Publish'):
- dataset_menu.insert(0, dict(tissue=None, datasets=[(dataset, dataset_short)]))
+ dataset_menu.insert(
+ 0, dict(tissue=None, datasets=[(dataset, dataset_short)]))
pheno_inserted = True
elif pheno_inserted and tissue_name == '#GenoFreeze':
- dataset_menu.insert(1, dict(tissue=None, datasets=[(dataset, dataset_short)]))
+ dataset_menu.insert(
+ 1, dict(tissue=None, datasets=[(dataset, dataset_short)]))
geno_inserted = True
else:
- dataset_menu.append(dict(tissue=None, datasets=[(dataset, dataset_short)]))
+ dataset_menu.append(
+ dict(tissue=None, datasets=[(dataset, dataset_short)]))
else:
tissue_already_exists = False
for i, tissue_dict in enumerate(dataset_menu):
@@ -543,7 +555,7 @@ def datasets(group_name, this_group = None):
dataset_menu[i]['datasets'].append((dataset, dataset_short))
else:
dataset_menu.append(dict(tissue=tissue_name,
- datasets=[(dataset, dataset_short)]))
+ datasets=[(dataset, dataset_short)]))
if USE_REDIS:
Redis.set(key, pickle.dumps(dataset_menu, pickle.HIGHEST_PROTOCOL))
@@ -555,6 +567,7 @@ def datasets(group_name, this_group = None):
else:
return dataset_menu
+
class DataSet(object):
"""
DataSet class defines a dataset in webqtl, can be either Microarray,
@@ -562,7 +575,7 @@ class DataSet(object):
"""
- def __init__(self, name, get_samplelist = True, group_name = None):
+ def __init__(self, name, get_samplelist=True, group_name=None):
assert name, "Need a name"
self.name = name
@@ -570,22 +583,23 @@ class DataSet(object):
self.shortname = None
self.fullname = None
self.type = None
- self.data_scale = None #ZS: For example log2
+ self.data_scale = None # ZS: For example log2
self.setup()
- if self.type == "Temp": #Need to supply group name as input if temp trait
- self.group = DatasetGroup(self, name=group_name) # sets self.group and self.group_id and gets genotype
+ if self.type == "Temp": # Need to supply group name as input if temp trait
+ # sets self.group and self.group_id and gets genotype
+ self.group = DatasetGroup(self, name=group_name)
else:
self.check_confidentiality()
self.retrieve_other_names()
- self.group = DatasetGroup(self) # sets self.group and self.group_id and gets genotype
+ # sets self.group and self.group_id and gets genotype
+ self.group = DatasetGroup(self)
self.accession_id = self.get_accession_id()
if get_samplelist == True:
- self.group.get_samplelist()
+ self.group.get_samplelist()
self.species = species.TheSpecies(self)
-
def get_desc(self):
"""Gets overridden later, at least for Temp...used by trait's get_given_name"""
return None
@@ -645,8 +659,9 @@ class DataSet(object):
WHERE ProbeSetFreeze.ProbeFreezeId = ProbeFreeze.Id
AND ProbeFreeze.TissueId = Tissue.Id
AND (ProbeSetFreeze.Name = '%s' OR ProbeSetFreeze.FullName = '%s' OR ProbeSetFreeze.ShortName = '%s')
- """ % (query_args),"/dataset/"+self.name+".json",
- lambda r: (r["id"],r["name"],r["full_name"],r["short_name"],r["data_scale"],r["tissue"])
+ """ % (query_args), "/dataset/"+self.name+".json",
+ lambda r: (r["id"], r["name"], r["full_name"],
+ r["short_name"], r["data_scale"], r["tissue"])
)
else:
query_args = tuple(escape(x) for x in (
@@ -663,7 +678,8 @@ class DataSet(object):
""" % (query_args))
except TypeError:
- logger.debug("Dataset {} is not yet available in GeneNetwork.".format(self.name))
+ logger.debug(
+ "Dataset {} is not yet available in GeneNetwork.".format(self.name))
pass
def get_trait_data(self, sample_list=None):
@@ -721,7 +737,7 @@ class DataSet(object):
and {}.Id = {}XRef.{}Id
order by {}.Id
""".format(*mescape(self.type, self.type, self.type, self.name,
- dataset_type, self.type, dataset_type, dataset_type))
+ dataset_type, self.type, dataset_type, dataset_type))
else:
query += """
WHERE {}XRef.{}FreezeId = {}Freeze.Id
@@ -729,7 +745,7 @@ class DataSet(object):
and {}.Id = {}XRef.{}Id
order by {}.Id
""".format(*mescape(self.type, self.type, self.type, self.type,
- self.name, dataset_type, self.type, self.type, dataset_type))
+ self.name, dataset_type, self.type, self.type, dataset_type))
#logger.debug("trait data query: ", query)
@@ -749,6 +765,7 @@ class DataSet(object):
self.trait_data[trait_name] += (
trait_sample_data[chunk_counter][trait_counter][data_start_pos:])
+
class PhenotypeDataSet(DataSet):
DS_NAME_MAP['Publish'] = 'PhenotypeDataSet'
@@ -758,16 +775,16 @@ class PhenotypeDataSet(DataSet):
# Fields in the database table
self.search_fields = ['Phenotype.Post_publication_description',
- 'Phenotype.Pre_publication_description',
- 'Phenotype.Pre_publication_abbreviation',
- 'Phenotype.Post_publication_abbreviation',
- 'PublishXRef.mean',
- 'Phenotype.Lab_code',
- 'Publication.PubMed_ID',
- 'Publication.Abstract',
- 'Publication.Title',
- 'Publication.Authors',
- 'PublishXRef.Id']
+ 'Phenotype.Pre_publication_description',
+ 'Phenotype.Pre_publication_abbreviation',
+ 'Phenotype.Post_publication_abbreviation',
+ 'PublishXRef.mean',
+ 'Phenotype.Lab_code',
+ 'Publication.PubMed_ID',
+ 'Publication.Abstract',
+ 'Publication.Title',
+ 'Publication.Authors',
+ 'PublishXRef.Id']
# Figure out what display_fields is
self.display_fields = ['name', 'group_code',
@@ -789,13 +806,13 @@ class PhenotypeDataSet(DataSet):
# Fields displayed in the search results table header
self.header_fields = ['Index',
- 'Record',
- 'Description',
- 'Authors',
- 'Year',
- 'Max LRS',
- 'Max LRS Location',
- 'Additive Effect']
+ 'Record',
+ 'Description',
+ 'Authors',
+ 'Year',
+ 'Max LRS',
+ 'Max LRS Location',
+ 'Additive Effect']
self.type = 'Publish'
@@ -813,7 +830,7 @@ class PhenotypeDataSet(DataSet):
# (Urgently?) Need to write this
pass
- def get_trait_info(self, trait_list, species = ''):
+ def get_trait_info(self, trait_list, species=''):
for this_trait in trait_list:
if not this_trait.haveinfo:
@@ -821,9 +838,9 @@ class PhenotypeDataSet(DataSet):
description = this_trait.post_publication_description
- #If the dataset is confidential and the user has access to confidential
- #phenotype traits, then display the pre-publication description instead
- #of the post-publication description
+ # If the dataset is confidential and the user has access to confidential
+ # phenotype traits, then display the pre-publication description instead
+ # of the post-publication description
if this_trait.confidential:
this_trait.description_display = ""
continue # for now, because no authorization features
@@ -848,7 +865,7 @@ class PhenotypeDataSet(DataSet):
if this_trait.pubmed_id:
this_trait.pubmed_link = webqtlConfig.PUBMEDLINK_URL % this_trait.pubmed_id
- #LRS and its location
+ # LRS and its location
this_trait.LRS_score_repr = "N/A"
this_trait.LRS_location_repr = "N/A"
@@ -868,7 +885,8 @@ class PhenotypeDataSet(DataSet):
LRS_Mb = result[1]
this_trait.LRS_score_repr = LRS_score_repr = '%3.1f' % this_trait.lrs
- this_trait.LRS_location_repr = LRS_location_repr = 'Chr%s: %.6f' % (LRS_Chr, float(LRS_Mb))
+ this_trait.LRS_location_repr = LRS_location_repr = 'Chr%s: %.6f' % (
+ LRS_Chr, float(LRS_Mb))
def retrieve_sample_data(self, trait):
query = """
@@ -935,7 +953,8 @@ class GenotypeDataSet(DataSet):
this_trait.retrieveInfo()
if this_trait.chr and this_trait.mb:
- this_trait.location_repr = 'Chr%s: %.6f' % (this_trait.chr, float(this_trait.mb) )
+ this_trait.location_repr = 'Chr%s: %.6f' % (
+ this_trait.chr, float(this_trait.mb))
def retrieve_sample_data(self, trait):
query = """
@@ -1004,14 +1023,14 @@ class MrnaAssayDataSet(DataSet):
# Fields displayed in the search results table header
self.header_fields = ['Index',
- 'Record',
- 'Symbol',
- 'Description',
- 'Location',
- 'Mean',
- 'Max LRS',
- 'Max LRS Location',
- 'Additive Effect']
+ 'Record',
+ 'Symbol',
+ 'Description',
+ 'Location',
+ 'Mean',
+ 'Max LRS',
+ 'Max LRS Location',
+ 'Additive Effect']
# Todo: Obsolete or rename this field
self.type = 'ProbeSet'
@@ -1027,7 +1046,6 @@ class MrnaAssayDataSet(DataSet):
ProbeSetFreeze.Name = "%s"
''' % escape(self.name)
-
def check_confidentiality(self):
return geno_mrna_confidentiality(self)
@@ -1045,10 +1063,12 @@ class MrnaAssayDataSet(DataSet):
if not this_trait.symbol:
this_trait.symbol = "N/A"
- #XZ, 12/08/2008: description
- #XZ, 06/05/2009: Rob asked to add probe target description
- description_string = unicode(str(this_trait.description).strip(codecs.BOM_UTF8), 'utf-8')
- target_string = unicode(str(this_trait.probe_target_description).strip(codecs.BOM_UTF8), 'utf-8')
+ # XZ, 12/08/2008: description
+ # XZ, 06/05/2009: Rob asked to add probe target description
+ description_string = unicode(
+ str(this_trait.description).strip(codecs.BOM_UTF8), 'utf-8')
+ target_string = unicode(
+ str(this_trait.probe_target_description).strip(codecs.BOM_UTF8), 'utf-8')
if len(description_string) > 1 and description_string != 'None':
description_display = description_string
@@ -1063,11 +1083,12 @@ class MrnaAssayDataSet(DataSet):
this_trait.description_display = description_display
if this_trait.chr and this_trait.mb:
- this_trait.location_repr = 'Chr%s: %.6f' % (this_trait.chr, float(this_trait.mb))
+ this_trait.location_repr = 'Chr%s: %.6f' % (
+ this_trait.chr, float(this_trait.mb))
- #Get mean expression value
+ # Get mean expression value
query = (
- """select ProbeSetXRef.mean from ProbeSetXRef, ProbeSet
+ """select ProbeSetXRef.mean from ProbeSetXRef, ProbeSet
where ProbeSetXRef.ProbeSetFreezeId = %s and
ProbeSet.Id = ProbeSetXRef.ProbeSetId and
ProbeSet.Name = '%s'
@@ -1083,11 +1104,11 @@ class MrnaAssayDataSet(DataSet):
if mean:
this_trait.mean = "%2.3f" % mean
- #LRS and its location
+ # LRS and its location
this_trait.LRS_score_repr = 'N/A'
this_trait.LRS_location_repr = 'N/A'
- #Max LRS and its Locus location
+ # Max LRS and its Locus location
if this_trait.lrs and this_trait.locus:
query = """
select Geno.Chr, Geno.Mb from Geno, Species
@@ -1101,7 +1122,8 @@ class MrnaAssayDataSet(DataSet):
if result:
lrs_chr, lrs_mb = result
this_trait.LRS_score_repr = '%3.1f' % this_trait.lrs
- this_trait.LRS_location_repr = 'Chr%s: %.6f' % (lrs_chr, float(lrs_mb))
+ this_trait.LRS_location_repr = 'Chr%s: %.6f' % (
+ lrs_chr, float(lrs_mb))
return trait_list
@@ -1162,7 +1184,6 @@ class TempDataSet(DataSet):
self.fullname = 'Temporary Storage'
self.shortname = 'Temp'
-
@staticmethod
def handle_pca(desc):
if 'PCA' in desc:
@@ -1203,7 +1224,7 @@ def geno_mrna_confidentiality(ob):
#logger.debug("dataset_table [%s]: %s" % (type(dataset_table), dataset_table))
query = '''SELECT Id, Name, FullName, confidentiality,
- AuthorisedUsers FROM %s WHERE Name = "%s"''' % (dataset_table,ob.name)
+ AuthorisedUsers FROM %s WHERE Name = "%s"''' % (dataset_table, ob.name)
logger.sql(query)
result = g.db.execute(query)