fc42jtn = self.fc42jtn
fc42ju1 = FlowCellFactory(flowcell_id='42JU1AAXX')
- for fc_id in [u'FC12150', u"42JTNAAXX", "42JU1AAXX"]:
+ for fc_id in ['FC12150', '42JTNAAXX', '42JU1AAXX']:
fc_dict = flowcell_information(fc_id)
fc_django = FlowCell.objects.get(flowcell_id=fc_id)
self.assertEqual(fc_dict['flowcell_id'], fc_id)
for lane in fc_django.lane_set.all():
- lane_contents = fc_json['lane_set'][unicode(lane.lane_number)]
+ lane_contents = fc_json['lane_set'][str(lane.lane_number)]
lane_dict = multi_lane_to_dict(lane_contents)[lane.library_id]
self.assertEqual(lane_dict['cluster_estimate'], lane.cluster_estimate)
"""
Require logging in to retrieve meta data
"""
- response = self.client.get(u'/experiments/config/FC12150/json')
+ response = self.client.get('/experiments/config/FC12150/json')
self.assertEqual(response.status_code, 403)
def test_library_id(self):
This tests to make sure that the value entered in the raw library id field matches
the library id looked up.
"""
- expected_ids = [ u'1215{}'.format(i) for i in range(1,9) ]
+ expected_ids = [ '1215{}'.format(i) for i in range(1,9) ]
self.assertTrue(self.client.login(username=self.admin.username, password=self.password))
response = self.client.get('/admin/experiments/flowcell/{}/'.format(self.fc12150.id))
count = 0
for r in query.execute(model):
count += 1
- self.assertEqual(fromTypedNode(r['flowcell_id']), u'FC12150')
+ self.assertEqual(fromTypedNode(r['flowcell_id']), 'FC12150')
lane_id = fromTypedNode(r['lane_id'])
library_id = fromTypedNode(r['library_id'])
self.assertTrue(library_id in expected[lane_id])
seq.instrument_name = "HWI-SEQ1"
seq.model = "Imaginary 5000"
- self.assertEqual(unicode(seq), "Seq1 (HWI-SEQ1)")
+ self.assertEqual(str(seq), "Seq1 (HWI-SEQ1)")
def test_lookup(self):
fc = self.fc12150
def get_elements(self):
lane = ElementTree.Element(ElandLane.LANE,
{'version':
- unicode(ElandLane.XML_VERSION)})
+ str(ElandLane.XML_VERSION)})
sample_tag = ElementTree.SubElement(lane, SAMPLE_NAME)
sample_tag.text = self.sample_name
lane_tag = ElementTree.SubElement(lane, LANE_ID)
for k, v in self.genome_map.items():
item = ElementTree.SubElement(
genome_map, GENOME_ITEM,
- {'name':k, 'value':unicode(v)})
+ {'name':k, 'value':str(v)})
mapped_reads = ElementTree.SubElement(lane, MAPPED_READS)
for k, v in self.mapped_reads.items():
item = ElementTree.SubElement(
mapped_reads, MAPPED_ITEM,
- {'name':k, 'value':unicode(v)})
+ {'name':k, 'value':str(v)})
match_codes = ElementTree.SubElement(lane, MATCH_CODES)
for k, v in self.match_codes.items():
item = ElementTree.SubElement(
match_codes, MATCH_ITEM,
- {'name':k, 'value':unicode(v)})
+ {'name':k, 'value':str(v)})
reads = ElementTree.SubElement(lane, READS)
- reads.text = unicode(self.reads)
+ reads.text = str(self.reads)
return lane
def get_elements(self):
lane = ElementTree.Element(SequenceLane.LANE,
{'version':
- unicode(SequenceLane.XML_VERSION)})
+ str(SequenceLane.XML_VERSION)})
sample_tag = ElementTree.SubElement(lane, SAMPLE_NAME)
sample_tag.text = self.sample_name
lane_tag = ElementTree.SubElement(lane, LANE_ID)
end_tag = ElementTree.SubElement(lane, END)
end_tag.text = str(self.end)
reads = ElementTree.SubElement(lane, READS)
- reads.text = unicode(self.reads)
+ reads.text = str(self.reads)
sequence_type = ElementTree.SubElement(lane, SequenceLane.SEQUENCE_TYPE)
- sequence_type.text = unicode(SequenceLane.SEQUENCE_DESCRIPTION[self.sequence_type])
+ sequence_type.text = str(SequenceLane.SEQUENCE_DESCRIPTION[self.sequence_type])
return lane
def get_elements(self):
root = ElementTree.Element(ELAND.ELAND,
- {'version': unicode(ELAND.XML_VERSION)})
+ {'version': str(ELAND.XML_VERSION)})
for key in self:
eland_lane = self[key].get_elements()
- eland_lane.attrib[ELAND.END] = unicode(self[key].end-1)
- eland_lane.attrib[ELAND.LANE_ID] = unicode(self[key].lane_id)
- eland_lane.attrib[ELAND.SAMPLE] = unicode(self[key].sample_name)
+ eland_lane.attrib[ELAND.END] = str(self[key].end-1)
+ eland_lane.attrib[ELAND.LANE_ID] = str(self[key].lane_id)
+ eland_lane.attrib[ELAND.SAMPLE] = str(self[key].sample_name)
root.append(eland_lane)
return root
return root
def key(self):
return (self.flowcell, self.lane, self.read, self.project, self.split)
- def __unicode__(self):
- return unicode(self.path)
+ def __str__(self):
+ return str(self.path)
def __eq__(self, other):
"""
def add(model, s, p, o):
model.add_statement(RDF.Statement(s,p,o))
# a bit unreliable... assumes filesystem is encoded in utf-8
- path = os.path.abspath(self.path.encode('utf-8'))
+ path = os.path.abspath(self.path)
fileNode = RDF.Node(RDF.Uri('file://' + path))
add(model, fileNode, rdfNS['type'], libNS['IlluminaResult'])
add_lit(model, fileNode, libNS['flowcell_id'], self.flowcell)
Make an etree subelement <Name mean='mean', deviation='deviation'/>
"""
element = etree.SubElement(parent, name,
- { 'mean': unicode(mean),
- 'deviation': unicode(deviation)})
+ { 'mean': str(mean),
+ 'deviation': str(deviation)})
return element
def parse_mean_range_element(element):
self.assertEqual(f0.filetype, 'srf')
self.assertEqual(f0.path, pathname)
- self.assertEqual(unicode(f0), unicode(pathname))
+ self.assertEqual(str(f0), str(pathname))
self.assertEqual(repr(f0), "<srf 42BW9AAXX 4 %s>" % (pathname,))
self.assertEqual(f0.flowcell, '42BW9AAXX')
self.assertEqual(f0.lane, '4')
self.assertEqual(f0.filetype, 'qseq')
self.assertEqual(f0.path, pathname)
- self.assertEqual(unicode(f0), unicode(pathname))
+ self.assertEqual(str(f0), str(pathname))
self.assertEqual(repr(f0), "<qseq 42BW9AAXX 4 %s>" %(pathname,))
self.assertEqual(f0.flowcell, '42BW9AAXX')
self.assertEqual(f0.lane, '4')
self.assertEqual(f0.filetype, 'qseq')
self.assertEqual(f0.path, pathname)
- self.assertEqual(unicode(f0), unicode(pathname))
+ self.assertEqual(str(f0), str(pathname))
self.assertEqual(repr(f0), "<qseq ilmn200901 1 %s>" %(pathname,))
self.assertEqual(f0.lane, '1')
self.assertEqual(f0.read, 1)
self.assertEqual(f0.filetype, 'fastq')
self.assertEqual(f0.path, pathname)
- self.assertEqual(unicode(f0), unicode(pathname))
+ self.assertEqual(str(f0), str(pathname))
self.assertEqual(repr(f0), "<fastq 42BW9AAXX 4 %s>" % (pathname,))
self.assertEqual(f0.flowcell, '42BW9AAXX')
self.assertEqual(f0.lane, '4')
self.assertEqual(f0.filetype, 'fastq')
self.assertEqual(f0.path, pathname)
- self.assertEqual(unicode(f0), unicode(pathname))
+ self.assertEqual(str(f0), str(pathname))
self.assertEqual(repr(f0), "<fastq 42BW9AAXX 4 %s>" %(pathname,))
self.assertEqual(f0.flowcell, '42BW9AAXX')
self.assertEqual(f0.lane, '4')
self.assertEqual(f0.filetype, 'split_fastq')
self.assertEqual(f0.path, pathname)
- self.assertEqual(unicode(f0), unicode(pathname))
+ self.assertEqual(str(f0), str(pathname))
self.assertEqual(repr(f0), "<split_fastq 42BW9AAXX 1 %s>" %(pathname,))
self.assertEqual(f0.flowcell, '42BW9AAXX')
self.assertEqual(f0.lane, '1')
self.assertEqual(f0.filetype, 'split_fastq')
self.assertEqual(f0.path, pathname)
- self.assertEqual(unicode(f0), unicode(pathname))
+ self.assertEqual(str(f0), str(pathname))
self.assertEqual(repr(f0), "<split_fastq 42BW9AAXX 1 %s>" % (pathname,))
self.assertEqual(f0.flowcell, '42BW9AAXX')
self.assertEqual(f0.lane, '1')
and False if it fails.
"""
try:
- XHTML_RDF_DTD = lxml.etree.DTD(external_id='-//W3C//DTD XHTML+RDFa 1.0//EN')
+ XHTML_RDF_DTD = lxml.etree.DTD(external_id=b'-//W3C//DTD XHTML+RDFa 1.0//EN')
except lxml.etree.DTDParseError as e:
LOGGER.warn("Unable to load XHTML DTD %s" % (str(e),))
return
-from __future__ import absolute_import, print_function, unicode_literals
+from __future__ import absolute_import, print_function
import RDF
itemNode = RDF.Node(RDF.Uri(url))
item_type = fromTypedNode(
- model.get_target(itemNode, inventoryOntology[b'item_type']))
+ model.get_target(itemNode, inventoryOntology['item_type']))
self.failUnlessEqual(item_type, item.item_type.name)
def test_itemindex(self):
-from __future__ import absolute_import, print_function, unicode_literals
+from __future__ import absolute_import, print_function
import datetime
import unittest
import RDF
HAVE_RDF = True
- rdfNS = RDF.NS(b"http://www.w3.org/1999/02/22-rdf-syntax-ns#")
- xsdNS = RDF.NS(b"http://www.w3.org/2001/XMLSchema#")
- libNS = RDF.NS(b"http://jumpgate.caltech.edu/wiki/LibraryOntology#")
+ rdfNS = RDF.NS("http://www.w3.org/1999/02/22-rdf-syntax-ns#")
+ xsdNS = RDF.NS("http://www.w3.org/2001/XMLSchema#")
+ libNS = RDF.NS("http://jumpgate.caltech.edu/wiki/LibraryOntology#")
from htsworkflow.util.rdfhelp import dump_model
except ImportError as e:
def test_parse_rdfa(self):
model = get_rdf_memory_model()
- parser = RDF.Parser(name=b'rdfa')
+ parser = RDF.Parser(name='rdfa')
bob = AffiliationFactory.create(name='Bob')
#with open('/tmp/test.ttl', 'w') as outstream:
# dump_model(model, outstream)
# http://jumpgate.caltech.edu/wiki/LibraryOntology#affiliation>
- self.check_literal_object(model, ['Bob'], p=libNS[b'affiliation'])
+ self.check_literal_object(model, ['Bob'], p=libNS['affiliation'])
self.check_literal_object(model,
['experiment type name'],
- p=libNS[b'experiment_type'])
- self.check_literal_object(model, ['400'], p=libNS[b'gel_cut'])
+ p=libNS['experiment_type'])
+ self.check_literal_object(model, ['400'], p=libNS['gel_cut'])
self.check_literal_object(model,
['microfluidics bot 7321'],
- p=libNS[b'made_by'])
+ p=libNS['made_by'])
self.check_literal_object(model,
[lib_object.library_name],
- p=libNS[b'name'])
+ p=libNS['name'])
self.check_literal_object(model,
[lib_object.library_species.scientific_name],
- p=libNS[b'species_name'])
+ p=libNS['species_name'])
def check_literal_object(self, model, values, s=None, p=None, o=None):