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from __future__ import absolute_import, print_function, division
from base import webqtlCaseData
from utility import webqtlUtil, Plot, Bunch
from base.webqtlTrait import webqtlTrait
from pprint import pformat as pf
class SampleList(object):
def __init__(self,
cursor,
fd,
variance_data_page,
sample_names,
this_trait,
sample_group_type,
header):
self.cursor = cursor
self.fd = fd
self.this_trait = this_trait
self.sample_group_type = sample_group_type # primary or other
self.header = header
self.sample_list = [] # The actual list
self.calc_attributes()
print("camera: attributes are:", pf(self.attributes))
for counter, sample_name in enumerate(sample_names, 1):
sample_name = sample_name.replace("_2nd_", "")
#ZS - If there's no value for the sample/strain, create the sample object (so samples with no value are still displayed in the table)
try:
sample = self.this_trait.data[sample_name]
except KeyError:
print("No sample %s, let's create it now" % sample_name)
sample = webqtlCaseData.webqtlCaseData(sample_name)
#sampleNameAdd = ''
#if fd.RISet == 'AXBXA' and sampleName in ('AXB18/19/20','AXB13/14','BXA8/17'):
# sampleNameAdd = HT.Href(url='/mouseCross.html#AXB/BXA', text=HT.Sup('#'), Class='fs12', target="_blank")
sample.extra_info = {}
if self.fd.RISet == 'AXBXA' and sample_name in ('AXB18/19/20','AXB13/14','BXA8/17'):
sample.extra_info['url'] = "/mouseCross.html#AXB/BXA"
sample.extra_info['css_class'] = "fs12"
print(" type of sample:", type(sample))
if sample_group_type == 'primary':
sample.this_id = "Primary_" + str(counter)
else:
sample.this_id = "Other_" + str(counter)
#### For extra attribute columns; currently only used by several datasets - Zach
if self.this_trait and self.this_trait.db and self.this_trait.db.type == 'ProbeSet':
sample.extra_attributes = self.get_extra_attribute_values(sample_name)
print("sample.extra_attributes is", pf(sample.extra_attributes))
self.sample_list.append(sample)
print("self.attributes is", pf(self.attributes))
self.do_outliers()
#do_outliers(the_samples)
print("*the_samples are [%i]: %s" % (len(self.sample_list), pf(self.sample_list)))
for sample in self.sample_list:
print("apple:", type(sample), sample)
#return the_samples
def __repr__(self):
return "<SampleList> --> %s" % (pf(self.__dict__))
def do_outliers(self):
values = [sample.value for sample in self.sample_list if sample.value != None]
upper_bound, lower_bound = Plot.find_outliers(values)
for sample in self.sample_list:
if sample.value:
if upper_bound and sample.value > upper_bound:
sample.outlier = True
elif lower_bound and sample.value < lower_bound:
sample.outlier = True
else:
sample.outlier = False
def calc_attributes(self):
"""Finds which extra attributes apply to this dataset"""
#ZS: Id and name values for this trait's extra attributes
self.cursor.execute('''SELECT CaseAttribute.Id, CaseAttribute.Name
FROM CaseAttribute, CaseAttributeXRef
WHERE CaseAttributeXRef.ProbeSetFreezeId = %s AND
CaseAttribute.Id = CaseAttributeXRef.CaseAttributeId
group by CaseAttributeXRef.CaseAttributeId''',
(str(self.this_trait.db.id),))
self.attributes = {}
for key, value in self.cursor.fetchall():
print("radish: %s - %s" % (key, value))
self.attributes[key] = Bunch()
self.attributes[key].name = value
self.cursor.execute('''SELECT DISTINCT CaseAttributeXRef.Value
FROM CaseAttribute, CaseAttributeXRef
WHERE CaseAttribute.Name = %s AND
CaseAttributeXRef.CaseAttributeId = CaseAttribute.Id''', (value,))
self.attributes[key].distinct_values = [item[0] for item in self.cursor.fetchall()]
self.attributes[key].distinct_values.sort(key=natural_sort_key)
# exclude_menu = HT.Select(name="exclude_menu")
# dropdown_menus = [] #ZS: list of dropdown menus with the distinct values of each attribute (contained in DIVs so the style parameter can be edited and they can be hidden)
# for this_attr_name in attribute_names:
# exclude_menu.append((this_attr_name.capitalize(), this_attr_name))
# attr_value_menu_div = HT.Div(style="display:none;", Class="attribute_values") #container used to show/hide dropdown menus
# attr_value_menu = HT.Select(name=this_attr_name)
# attr_value_menu.append(("None", "show_all"))
# for value in distinct_values:
# attr_value_menu.append((str(value[0]), value[0]))
# attr_value_menu_div.append(attr_value_menu)
# dropdown_menus.append(attr_value_menu_div)
def get_extra_attribute_values(self, sample_name):
attribute_values = {}
if self.attributes:
#ZS: Get StrainId value for the next query
self.cursor.execute("""SELECT Strain.Id
FROM Strain, StrainXRef, InbredSet
WHERE Strain.Name = %s and
StrainXRef.StrainId = Strain.Id and
InbredSet.Id = StrainXRef.InbredSetId and
InbredSet.Name = %s""", (sample_name, self.fd.RISet))
sample_id = self.cursor.fetchone()[0]
for attribute in self.attributes:
#ZS: Add extra case attribute values (if any)
self.cursor.execute("""SELECT Value
FROM CaseAttributeXRef
WHERE ProbeSetFreezeId = '%s' AND
StrainId = '%s' AND
CaseAttributeId = '%s'
group by CaseAttributeXRef.CaseAttributeId""" % (
self.this_trait.db.id, sample_id, str(attribute)))
attribute_value = self.cursor.fetchone()[0] #Trait-specific attributes, if any
#ZS: If it's an int, turn it into one for sorting
#(for example, 101 would be lower than 80 if they're strings instead of ints)
try:
attribute_value = int(attribute_value)
except ValueError:
pass
attribute_values[self.attributes[attribute].name] = attribute_value
return attribute_values
def se_exists(self):
"""Returns true if SE values exist for any samples, otherwise false"""
return any(sample.variance for sample in self.sample_list)
def natural_sort_key(x):
"""Get expected results when using as a key for sort - ints or strings are sorted properly"""
try:
x = int(x)
except ValueError:
pass
return x
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