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# Copyright (C) University of Tennessee Health Science Center, Memphis, TN.
#
# This program is free software: you can redistribute it and/or modify it
# under the terms of the GNU Affero General Public License
# as published by the Free Software Foundation, either version 3 of the
# License, or (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.
# See the GNU Affero General Public License for more details.
#
# This program is available from Source Forge: at GeneNetwork Project
# (sourceforge.net/projects/genenetwork/).
#
# Contact Drs. Robert W. Williams and Xiaodong Zhou (2010)
# at rwilliams@uthsc.edu and xzhou15@uthsc.edu
#
#
#
# This module is used by GeneNetwork project (www.genenetwork.org)
from __future__ import print_function, division
from flask import Flask, g
from htmlgen import HTMLgen2 as HT
import webqtlConfig
from MySQLdb import escape_string as escape
from pprint import pformat as pf
# Used by create_database to instantiate objects
DS_NAME_MAP = {}
def create_dataset(dataset_name):
#cursor = db_conn.cursor()
print("dataset_name:", dataset_name)
dataset_type = g.db.execute("""
SELECT DBType.Name
FROM DBList, DBType
WHERE DBList.Name = %s and
DBType.Id = DBList.DBTypeId
""", (dataset_name)).fetchone().Name
#dataset_type = cursor.fetchone()[0]
print("[blubber] dataset_type:", pf(dataset_type))
dataset_ob = DS_NAME_MAP[dataset_type]
#dataset_class = getattr(data_set, dataset_ob)
print("dataset_ob:", dataset_ob)
print("DS_NAME_MAP:", pf(DS_NAME_MAP))
dataset_class = globals()[dataset_ob]
return dataset_class(dataset_name)
class DataSet(object):
"""
DataSet class defines a dataset in webqtl, can be either Microarray,
Published phenotype, genotype, or user input dataset(temp)
"""
def __init__(self, name):
assert name
self.name = name
#self.db_conn = db_conn
#self.cursor = self.db_conn.cursor()
self.id = None
self.type = None
self.group = None
#if self.cursor and self.id == 0:
self.setup()
self.check_confidentiality()
self.retrieve_name()
self.get_group()
# Delete this eventually
@property
def riset():
Weve_Renamed_This_As_Group
def get_group(self):
assert self.cursor
self.cursor.execute(self.query)
self.group, self.group_id = self.cursor.fetchone()
if self.group == 'BXD300':
self.group = "BXD"
#return group
def retrieve_name(self):
"""
If the data set name parameter is not found in the 'Name' field of the data set table,
check if it is actually the FullName or ShortName instead.
This is not meant to retrieve the data set info if no name at all is passed.
"""
query_args = tuple(self.db_conn.escape_string(x) for x in (
(self.type + "Freeze"),
str(webqtlConfig.PUBLICTHRESH),
self.name,
self.name,
self.name))
print("query_args are:", query_args)
query = '''
SELECT
Id, Name, FullName, ShortName
FROM
%s
WHERE
public > %s AND
(Name = "%s" OR FullName = "%s" OR ShortName = "%s")
''' % (query_args)
self.cursor.execute(query)
self.id, self.name, self.fullname, self.shortname = self.cursor.fetchone()
#def genHTML(self, Class='c0dd'):
# return HT.Href(text = HT.Span('%s Database' % self.fullname, Class= "fwb " + Class),
# url= webqtlConfig.INFOPAGEHREF % self.name,target="_blank")
class PhenotypeDataSet(DataSet):
DS_NAME_MAP['Publish'] = 'PhenotypeDataSet'
def setup(self):
# Fields in the database table
self.search_fields = ['Phenotype.Post_publication_description',
'Phenotype.Pre_publication_description',
'Phenotype.Pre_publication_abbreviation',
'Phenotype.Post_publication_abbreviation',
'Phenotype.Lab_code',
'Publication.PubMed_ID',
'Publication.Abstract',
'Publication.Title',
'Publication.Authors',
'PublishXRef.Id']
# Figure out what display_fields is
self.display_fields = ['name',
'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']
# Fields displayed in the search results table header
self.header_fields = ['',
'ID',
'Description',
'Authors',
'Year',
'Max LRS',
'Max LRS Location']
self.type = 'Publish'
self.query = '''
SELECT
InbredSet.Name, InbredSet.Id
FROM
InbredSet, PublishFreeze
WHERE
PublishFreeze.InbredSetId = InbredSet.Id AND
PublishFreeze.Name = "%s"
''' % self.db_conn.escape_string(self.name)
def check_confidentiality(self):
# (Urgently?) Need to write this
pass
def get_trait_info(self, trait_list, species = ''):
for this_trait in trait_list:
if not this_trait.haveinfo:
this_trait.retrieveInfo(QTL=1)
description = this_trait.post_publication_description
if this_trait.confidential:
if not webqtlUtil.hasAccessToConfidentialPhenotypeTrait(privilege=self.privilege, userName=self.userName, authorized_users=this_trait.authorized_users):
description = this_trait.pre_publication_description
this_trait.description_display = description
if not this_trait.year.isdigit():
this_trait.pubmed_text = "N/A"
if this_trait.pubmed_id:
this_trait.pubmed_link = webqtlConfig.PUBMEDLINK_URL % this_trait.pubmed_id
#LRS and its location
this_trait.LRS_score_repr = "N/A"
this_trait.LRS_score_value = 0
this_trait.LRS_location_repr = "N/A"
this_trait.LRS_location_value = 1000000
if this_trait.lrs:
self.cursor.execute("""
select Geno.Chr, Geno.Mb from Geno, Species
where Species.Name = '%s' and
Geno.Name = '%s' and
Geno.SpeciesId = Species.Id
""" % (species, this_trait.locus))
result = self.cursor.fetchone()
if result:
if result[0] and result[1]:
LRS_Chr = result[0]
LRS_Mb = result[1]
#XZ: LRS_location_value is used for sorting
try:
LRS_location_value = int(LRS_Chr)*1000 + float(LRS_Mb)
except:
if LRS_Chr.upper() == 'X':
LRS_location_value = 20*1000 + float(LRS_Mb)
else:
LRS_location_value = ord(str(LRS_chr).upper()[0])*1000 + float(LRS_Mb)
this_trait.LRS_score_repr = LRS_score_repr = '%3.1f' % this_trait.lrs
this_trait.LRS_score_value = LRS_score_value = this_trait.lrs
this_trait.LRS_location_repr = LRS_location_repr = 'Chr %s: %.4f Mb' % (LRS_Chr, float(LRS_Mb) )
class GenotypeDataSet(DataSet):
DS_NAME_MAP['Geno'] = 'GenotypeDataSet'
def setup(self):
# Fields in the database table
self.search_fields = ['Name',
'Chr']
# Find out what display_fields is
self.display_fields = ['name',
'chr',
'mb',
'source2',
'sequence']
# Fields displayed in the search results table header
self.header_fields = ['',
'ID',
'Location']
# Todo: Obsolete or rename this field
self.type = 'Geno'
self.query = '''
SELECT
InbredSet.Name, InbredSet.Id
FROM
InbredSet, GenoFreeze
WHERE
GenoFreeze.InbredSetId = InbredSet.Id AND
GenoFreeze.Name = "%s"
''' % self.db_conn.escape_string(self.name)
def check_confidentiality(self):
return geno_mrna_confidentiality(self)
def get_trait_info(self, trait_list, species=None):
for this_trait in trait_list:
if not this_trait.haveinfo:
this_trait.retrieveInfo()
#XZ: trait_location_value is used for sorting
trait_location_repr = 'N/A'
trait_location_value = 1000000
if this_trait.chr and this_trait.mb:
try:
trait_location_value = int(this_trait.chr)*1000 + this_trait.mb
except:
if this_trait.chr.upper() == 'X':
trait_location_value = 20*1000 + this_trait.mb
else:
trait_location_value = ord(str(this_trait.chr).upper()[0])*1000 + this_trait.mb
this_trait.location_repr = 'Chr%s: %.4f' % (this_trait.chr, float(this_trait.mb) )
this_trait.location_value = trait_location_value
class MrnaAssayDataSet(DataSet):
'''
An mRNA Assay is a quantitative assessment (assay) associated with an mRNA trait
This used to be called ProbeSet, but that term only refers specifically to the Affymetrix
platform and is far too specific.
'''
DS_NAME_MAP['ProbeSet'] = 'MrnaAssayDataSet'
def setup(self):
# Fields in the database table
self.search_fields = ['Name',
'Description',
'Probe_Target_Description',
'Symbol',
'Alias',
'GenbankId',
'UniGeneId',
'RefSeq_TranscriptId']
# Find out what display_fields is
self.display_fields = ['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',
'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']
# Fields displayed in the search results table header
self.header_fields = ['',
'ID',
'Symbol',
'Description',
'Location',
'Mean Expr',
'Max LRS',
'Max LRS Location']
# Todo: Obsolete or rename this field
self.type = 'ProbeSet'
self.query = '''
SELECT
InbredSet.Name, InbredSet.Id
FROM
InbredSet, ProbeSetFreeze, ProbeFreeze
WHERE
ProbeFreeze.InbredSetId = InbredSet.Id AND
ProbeFreeze.Id = ProbeSetFreeze.ProbeFreezeId AND
ProbeSetFreeze.Name = "%s"
''' % escape(self.name)
def check_confidentiality(self):
return geno_mrna_confidentiality(self)
def get_trait_info(self, trait_list=None, species=''):
# Note: setting trait_list to [] is probably not a great idea.
if not trait_list:
trait_list = []
for this_trait in trait_list:
if not this_trait.haveinfo:
this_trait.retrieveInfo(QTL=1)
if this_trait.symbol:
pass
else:
this_trait.symbol = "N/A"
#XZ, 12/08/2008: description
#XZ, 06/05/2009: Rob asked to add probe target description
description_string = str(this_trait.description).strip()
target_string = str(this_trait.probe_target_description).strip()
description_display = ''
if len(description_string) > 1 and description_string != 'None':
description_display = description_string
else:
description_display = this_trait.symbol
if len(description_display) > 1 and description_display != 'N/A' and len(target_string) > 1 and target_string != 'None':
description_display = description_display + '; ' + target_string.strip()
# Save it for the jinja2 template
this_trait.description_display = description_display
#print(" xxxxdd [%s]: %s" % (type(this_trait.description_display), description_display))
#XZ: trait_location_value is used for sorting
trait_location_repr = 'N/A'
trait_location_value = 1000000
if this_trait.chr and this_trait.mb:
try:
trait_location_value = int(this_trait.chr)*1000 + this_trait.mb
except:
if this_trait.chr.upper() == 'X':
trait_location_value = 20*1000 + this_trait.mb
else:
trait_location_value = ord(str(this_trait.chr).upper()[0])*1000 + this_trait.mb
this_trait.location_repr = 'Chr %s: %.4f Mb' % (this_trait.chr, float(this_trait.mb) )
this_trait.location_value = trait_location_value
#this_trait.trait_location_value = trait_location_value
#XZ, 01/12/08: This SQL query is much faster.
query = (
"""select ProbeSetXRef.mean from ProbeSetXRef, ProbeSet
where ProbeSetXRef.ProbeSetFreezeId = %s and
ProbeSet.Id = ProbeSetXRef.ProbeSetId and
ProbeSet.Name = '%s'
""" % (self.db_conn.escape_string(str(this_trait.dataset.id)),
self.db_conn.escape_string(this_trait.name)))
print("query is:", pf(query))
self.cursor.execute(query)
result = self.cursor.fetchone()
if result:
if result[0]:
mean = result[0]
else:
mean=0
else:
mean = 0
#XZ, 06/05/2009: It is neccessary to turn on nowrap
this_trait.mean = repr = "%2.3f" % mean
#LRS and its location
this_trait.LRS_score_repr = 'N/A'
this_trait.LRS_score_value = 0
this_trait.LRS_location_repr = 'N/A'
this_trait.LRS_location_value = 1000000
#Max LRS and its Locus location
if this_trait.lrs and this_trait.locus:
self.cursor.execute("""
select Geno.Chr, Geno.Mb from Geno, Species
where Species.Name = '%s' and
Geno.Name = '%s' and
Geno.SpeciesId = Species.Id
""" % (species, this_trait.locus))
result = self.cursor.fetchone()
if result:
if result[0] and result[1]:
LRS_Chr = result[0]
LRS_Mb = result[1]
#XZ: LRS_location_value is used for sorting
try:
LRS_location_value = int(LRS_Chr)*1000 + float(LRS_Mb)
except:
if LRS_Chr.upper() == 'X':
LRS_location_value = 20*1000 + float(LRS_Mb)
else:
LRS_location_value = ord(str(LRS_chr).upper()[0])*1000 + float(LRS_Mb)
this_trait.LRS_score_repr = LRS_score_repr = '%3.1f' % this_trait.lrs
this_trait.LRS_score_value = LRS_score_value = this_trait.lrs
this_trait.LRS_location_repr = LRS_location_repr = 'Chr %s: %.4f Mb' % (LRS_Chr, float(LRS_Mb) )
class TempDataSet(DataSet):
'''Temporary user-generated data set'''
def setup(self):
self.search_fields = ['name',
'description']
self.display_fields = ['name',
'description']
self.header_fields = ['Name',
'Description']
self.type = 'Temp'
# Need to double check later how these are used
self.id = 1
self.fullname = 'Temporary Storage'
self.shortname = 'Temp'
def geno_mrna_confidentiality(ob):
dataset_table = ob.type + "Freeze"
print("dataset_table [%s]: %s" % (type(dataset_table), dataset_table))
query = '''SELECT Id, Name, FullName, confidentiality,
AuthorisedUsers FROM %s WHERE Name = %%s''' % (dataset_table)
ob.cursor.execute(query, ob.name)
(dataset_id,
name,
full_name,
confidential,
authorized_users) = ob.cursor.fetchall()[0]
if confidential:
# Allow confidential data later
NoConfindetialDataForYouTodaySorry
|