def get_bioc_relations(self, docid, relations):
# <relation id="5618#7534">
# <infon key="Gene1">5618</infon>
# <infon key="Gene2">7534</infon>
# <infon key="relation">PPIm</infon>
# </relation>
biocDoc=BioCDocument()
biocDoc.id = docid
biocDoc.relations=[]
for rel in relations:
bioc_rel = BioCRelation()
rel_list = list(rel)
infon = {}
infon["relation"] = "PPIm"
infon["Gene1"] = rel_list[0]
infon["Gene2"] = rel_list[0]
if len(rel_list) == 2:
infon["Gene2"] = rel_list[1]
bioc_rel.id="{}#{}".format(infon["Gene1"], infon["Gene2"])
bioc_rel.infons=infon
biocDoc.relations.append(bioc_rel)
return biocDoc
def __parse_document(self, tree):
document = BioCDocument()
document.id = tree.findtext('id')
document.infons = self.__parse_infons(tree)
for child in tree.findall('passage'):
document.add_passage(self.__parse_passage(child))
for child in tree.findall('annotation'):
document.add_annotation(self.__parse_annotation(child))
for child in tree.findall('relation'):
document.add_relation(self.__parse_relation(child))
return document
def test_is_valid(self, relations_infons, gene1, gene2, expected):
# arrange
sut = BiocRelation()
doc = BioCDocument()
for dict in relations_infons:
dict["relation"] = "PPIm"
relation = BioCRelation()
relation.infons = dict
doc.add_relation(relation)
# Act
actual = sut.is_valid(doc, gene1, gene2)
# Assert
self.assertEqual(expected, actual)
def write_text_bioc(self, output_path):
bioc_writer = BioCWriter(output_path)
bioc_collection = BioCCollection()
# Insert option for either writing text only or annotations?
# to keep document as it is:
#collection.add_document(self.document)
bioc_document = BioCDocument()
for passage in self.abstract_dict.keys():
bioc_passage = BioCPassage()
bioc_passage.text = self.abstract_dict[passage]
bioc_document.add_passage(bioc_passage)
bioc_collection.add_document(bioc_document)
print 'BioC output path', output_path
bioc_writer.collection = bioc_collection
bioc_writer.write()
def test_should_get_gene_names_normalised(self, list_dict, expected_genes):
# Arrange
sut = BiocAnnotationGenes()
bioc_doc = BioCDocument()
bioc_passage = BioCPassage()
bioc_doc.add_passage(bioc_passage)
for dict in list_dict:
annotation = BioCAnnotation()
annotation.infons = dict
bioc_passage.add_annotation(annotation)
# act
actual = sut.get_gene_names_normalised(bioc_doc)
# assert
self.assertEqual(set(expected_genes), actual)
def test_should_get_gene_names_to_normalised_dict(
self, list_gene_dict_in_passage, expected_dict):
# Arrange
sut = BiocAnnotationGenes()
bioc_doc = BioCDocument()
for list_gene_dict in list_gene_dict_in_passage:
bioc_passage = BioCPassage()
bioc_doc.add_passage(bioc_passage)
for dict in list_gene_dict:
annotation = BioCAnnotation()
annotation.text = dict["text"]
annotation.infons = dict
bioc_passage.add_annotation(annotation)
# act
actual = sut.get_gene_names_to_normalised_dict(bioc_doc)
# assert
self.assertEqual(expected_dict, actual)
def __read(self):
while self.__has_next():
event, elem = self.__next_event()
if self.__state == 0:
if event == 'start':
if elem.tag == 'collection':
self.__state = 1
self.__collection = BioCCollection()
# collection information
elif self.__state == 1:
if event == 'start':
if elem.tag == 'document':
self.__document = BioCDocument()
self.__state = 2
elif event == 'end':
if elem.tag == 'source':
self.__collection.source = elem.text
elif elem.tag == 'date':
self.__collection.date = elem.text
elif elem.tag == 'key':
self.__collection.key = elem.text
elif elem.tag == 'infon':
self.__collection.infons[elem.get('key')] = elem.text
elif elem.tag == 'collection':
self.__state = 0
self.__document = None
self.__passage = None
self.__sentence = None
elif self.__state == 2:
if event == 'start':
if elem.tag == 'passage':
self.__passage = BioCPassage()
self.__state = 3
elif elem.tag == 'annotation':
self.__document.add_annotation(self.__read_annotation(elem))
elif elem.tag == 'relation':
self.__document.add_relation(self.__read_relation(elem))
elif event == 'end':
if elem.tag == 'id':
self.__document.id = elem.text
elif elem.tag == 'infon':
self.__document.infons[elem.get('key')] = elem.text
elif elem.tag == 'document':
self.__state = 1
return
elif self.__state == 3:
if event == 'start':
if elem.tag == 'sentence':
self.__sentence = BioCSentence()
self.__state = 4
elif elem.tag == 'annotation':
self.__passage.add_annotation(self.__read_annotation(elem))
elif elem.tag == 'relation':
self.__passage.add_relation(self.__read_relation(elem))
elif event == 'end':
if elem.tag == 'offset':
self.__passage.offset = int(elem.text)
elif elem.tag == 'text':
self.__passage.text = elem.text
elif elem.tag == 'infon':
self.__passage.infons[elem.get('key')] = elem.text
elif elem.tag == 'passage':
self.__state = 2
if self.__passage is not None:
self.__document.add_passage(self.__passage)
elif self.__state == 4:
if event == 'start':
if elem.tag == 'annotation':
self.__sentence.add_annotation(self.__read_annotation(elem))
elif elem.tag == 'relation':
self.__sentence.add_relation(self.__read_relation(elem))
elif event == 'end':
if elem.tag == 'offset':
self.__sentence.offset = int(elem.text)
elif elem.tag == 'text':
self.__sentence.text = elem.text
elif elem.tag == 'infon':
self.__sentence.infons[elem.get('key')] = elem.text
elif elem.tag == 'sentence':
self.__state = 3
if self.__sentence is not None:
self.__passage.add_sentence(self.__sentence)
class BioCXMLDocumentReader:
"""
Reader for the BioC XML format, one document per iteration.
"""
def __init__(self, source: Union[str, BinaryIO]):
# if not isinstance(file, str):
# file = str(file)
self.file = source
self.__context = iter(etree.iterparse(self.file, events=('start', 'end')))
self.__state = 0
self.__event = None
self.__elem = None
self.__read()
def __iter__(self):
return self
def __next__(self):
"""
Reads one BioC document from the XML file.
Returns:
BioCDocument: the BioC document
"""
if self.__document is None:
raise StopIteration
else:
document = self.__document
self.__read()
return document
def __read(self):
while self.__has_next():
event, elem = self.__next_event()
if self.__state == 0:
if event == 'start':
if elem.tag == 'collection':
self.__state = 1
self.__collection = BioCCollection()
# collection information
elif self.__state == 1:
if event == 'start':
if elem.tag == 'document':
self.__document = BioCDocument()
self.__state = 2
elif event == 'end':
if elem.tag == 'source':
self.__collection.source = elem.text
elif elem.tag == 'date':
self.__collection.date = elem.text
elif elem.tag == 'key':
self.__collection.key = elem.text
elif elem.tag == 'infon':
self.__collection.infons[elem.get('key')] = elem.text
elif elem.tag == 'collection':
self.__state = 0
self.__document = None
self.__passage = None
self.__sentence = None
elif self.__state == 2:
if event == 'start':
if elem.tag == 'passage':
self.__passage = BioCPassage()
self.__state = 3
elif elem.tag == 'annotation':
self.__document.add_annotation(self.__read_annotation(elem))
elif elem.tag == 'relation':
self.__document.add_relation(self.__read_relation(elem))
elif event == 'end':
if elem.tag == 'id':
self.__document.id = elem.text
elif elem.tag == 'infon':
self.__document.infons[elem.get('key')] = elem.text
elif elem.tag == 'document':
self.__state = 1
return
elif self.__state == 3:
if event == 'start':
if elem.tag == 'sentence':
self.__sentence = BioCSentence()
self.__state = 4
elif elem.tag == 'annotation':
self.__passage.add_annotation(self.__read_annotation(elem))
elif elem.tag == 'relation':
self.__passage.add_relation(self.__read_relation(elem))
elif event == 'end':
if elem.tag == 'offset':
self.__passage.offset = int(elem.text)
elif elem.tag == 'text':
self.__passage.text = elem.text
elif elem.tag == 'infon':
self.__passage.infons[elem.get('key')] = elem.text
elif elem.tag == 'passage':
self.__state = 2
if self.__passage is not None:
self.__document.add_passage(self.__passage)
elif self.__state == 4:
if event == 'start':
if elem.tag == 'annotation':
self.__sentence.add_annotation(self.__read_annotation(elem))
elif elem.tag == 'relation':
self.__sentence.add_relation(self.__read_relation(elem))
elif event == 'end':
if elem.tag == 'offset':
self.__sentence.offset = int(elem.text)
elif elem.tag == 'text':
self.__sentence.text = elem.text
elif elem.tag == 'infon':
self.__sentence.infons[elem.get('key')] = elem.text
elif elem.tag == 'sentence':
self.__state = 3
if self.__sentence is not None:
self.__passage.add_sentence(self.__sentence)
def __read_annotation(self, start_elem):
ann = BioCAnnotation()
ann.id = start_elem.get('id')
while self.__has_next():
event, elem = self.__next_event()
if event == 'start':
pass
elif event == 'end':
if elem.tag == 'text':
ann.text = elem.text
elif elem.tag == 'infon':
ann.infons[elem.get('key')] = elem.text
elif elem.tag == 'location':
ann.add_location(BioCLocation(int(elem.get('offset')), int(elem.get('length'))))
elif elem.tag == 'annotation':
return ann
raise RuntimeError("should not reach here") # pragma: no cover
def __read_relation(self, start_elem):
rel = BioCRelation()
rel.id = start_elem.get('id')
while self.__has_next():
event, elem = self.__next_event()
if event == 'start':
pass
elif event == 'end':
if elem.tag == 'infon':
rel.infons[elem.get('key')] = elem.text
elif elem.tag == 'node':
rel.add_node(BioCNode(elem.get('refid'), elem.get('role')))
if elem.tag == 'relation':
return rel
raise RuntimeError("should not reach here") # pragma: no cover
def __has_next(self):
try:
self.__event, self.__elem = next(self.__context)
return True
except StopIteration:
self.__event = None
self.__elem = None
return False
def __next_event(self):
return self.__event, self.__elem
def get_collection_info(self) -> BioCCollection:
"""
Reads the collection information: encoding, version, DTD, source, date, key, infons, etc.
Returns:
the BioC collection that contains only information
"""
return self.__collection
def convert_pubtator(input_path, output_path):
"""Convert pubtators annotation list to BioC XML
Keyword Arguments:
input_file -- the path of pubtators annotation file
output_file -- the path to output the BioC XML file
"""
# Set up BioCWriter to write specifically Pubtator
# Can change to incorporate other sources besides pubtator
writer = BioCWriter()
writer.collection = BioCCollection()
collection = writer.collection
collection.date = time.strftime("%Y/%m/%d")
collection.source = "Pubtator"
collection.key = "Pubtator.key"
opener = utilities.get_opener(output_path)
with opener(output_path, 'wb') as xml_file:
# Have to manually do this because hangs otherwise
# Write the head of the xml file
xml_shell = writer.tostring('UTF-8')
*xml_head, xml_tail = xml_shell.rstrip().split(b'\n')
for line in xml_head:
xml_file.write(line + b'\n')
article_generator = read_bioconcepts2pubtator_offsets(input_path)
# Write each article in BioC format
for article in tqdm.tqdm(article_generator):
document = BioCDocument()
document.id = article["pubmed_id"]
title_passage = BioCPassage()
title_passage.put_infon('type', 'title')
title_passage.offset = '0'
title_passage.text = article["title"]
abstract_passage = BioCPassage()
abstract_passage.put_infon('type', 'abstract')
abstract_passage.offset = article["abstract"]
abstract_passage.text = article["abstract"]
id_index = 0
for tag in article["title_annot"]:
title_passage.annotations.append(bioconcepts2pubtator_annotations(tag, id_index))
id_index += 1
for tag in article["abstract_annot"]:
abstract_passage.annotations.append(bioconcepts2pubtator_annotations(tag, id_index))
id_index += 1
document.add_passage(title_passage)
document.add_passage(abstract_passage)
step_parent = E('collection')
writer._build_documents([document], step_parent)
xml_file.write(tostring(step_parent[0], pretty_print=True))
step_parent.clear()
# Write the closing tag of the xml document
xml_file.write(xml_tail + b'\n')
def convert_pubtator(input_file, output_file=None):
"""Convert pubtators annotation list to BioC XML
Keyword Arguments:
input_file -- the path of pubtators annotation file
output_file -- the path to output the converted text
"""
if output_file is None:
output_file = "bioc-converted-docs.xml"
# Set up BioCWriter to write specifically Pubtator
# Can change to incorporate other sources besides pubtator
writer = BioCWriter()
writer.collection = BioCCollection()
collection = writer.collection
collection.date = time.strftime("%Y/%m/%d")
collection.source = "Pubtator"
collection.key = "Pubtator.key"
with open(output_file, 'wb') as g:
# Have to manually do this because hangs otherwise
# Write the head of the xml file
xml_header = writer.tostring('UTF-8')
xml_tail = '</collection>\n'
xml_head = xml_header[:-len(xml_tail)]
g.write(xml_head)
article_generator = bioconcepts2pubtator_offsets(input_file)
# Write each article in BioC format
for article in tqdm.tqdm(article_generator):
document = BioCDocument()
document.id = article["Document ID"]
title_passage = BioCPassage()
title_passage.put_infon('type', 'title')
title_passage.offset = '0'
title_passage.text = article["Title"]
abstract_passage = BioCPassage()
abstract_passage.put_infon('type', 'abstract')
abstract_passage.offset = str(article["Abstract"])
abstract_passage.text = article["Abstract"]
id_index = 0
for tag in article["Title_Annot"]:
title_passage.annotations.append(bioconcepts2pubtator_annotations(tag, id_index))
id_index += 1
for tag in article["Abstract_Annot"]:
abstract_passage.annotations.append(bioconcepts2pubtator_annotations(tag, id_index))
id_index += 1
document.add_passage(title_passage)
document.add_passage(abstract_passage)
step_parent = E('collection')
writer._build_documents([document], step_parent)
g.write(tostring(step_parent[0], pretty_print=True))
step_parent.clear()
# Write the closing tag of the xml document
g.write(xml_tail)
def __read(self):
while self.__has_next():
event, elem = self.__next_event()
if self.__state == 0:
if event == 'start':
if elem.tag == 'collection':
self.__state = 1
self.__collection = BioCCollection()
# collection information
elif self.__state == 1:
if event == 'start':
if elem.tag == 'document':
self.__document = BioCDocument()
self.__state = 2
elif event == 'end':
if elem.tag == 'source':
self.__collection.source = elem.text
elif elem.tag == 'date':
self.__collection.date = elem.text
elif elem.tag == 'key':
self.__collection.key = elem.text
elif elem.tag == 'infon':
self.__collection.infons[elem.get('key')] = elem.text
elif elem.tag == 'collection':
self.__state = 0
self.__document = None
self.__passage = None
self.__sentence = None
elif self.__state == 2:
if event == 'start':
if elem.tag == 'passage':
self.__passage = BioCPassage()
self.__state = 3
elif elem.tag == 'annotation':
self.__document.add_annotation(self.__read_annotation(elem))
elif elem.tag == 'relation':
self.__document.add_relation(self.__read_relation(elem))
elif event == 'end':
if elem.tag == 'id':
self.__document.id = elem.text
elif elem.tag == 'infon':
self.__document.infons[elem.get('key')] = elem.text
elif elem.tag == 'document':
# Remove previous element and it's ancestors
# Particularly useful for working with large xml files
# - Based on fast_iter modification of lxml context
# Ref: https://codereview.stackexchange.com/questions/2449/parsing-huge-xml-file-with-lxml-etree-iterparse-in-python
if self.__prev_elem is not None:
self.__prev_elem.clear()
for ancestor in self.__prev_elem.xpath('ancestor-or-self::*'):
while ancestor.getprevious() is not None and ancestor.getparent() is not None:
del ancestor.getparent()[0]
self.__state = 1
return
elif self.__state == 3:
if event == 'start':
if elem.tag == 'sentence':
self.__sentence = BioCSentence()
self.__state = 4
elif elem.tag == 'annotation':
self.__passage.add_annotation(self.__read_annotation(elem))
elif elem.tag == 'relation':
self.__passage.add_relation(self.__read_relation(elem))
elif event == 'end':
if elem.tag == 'offset':
self.__passage.offset = int(elem.text)
elif elem.tag == 'text':
self.__passage.text = elem.text
elif elem.tag == 'infon':
self.__passage.infons[elem.get('key')] = elem.text
elif elem.tag == 'passage':
self.__state = 2
if self.__passage is not None:
self.__document.add_passage(self.__passage)
elif self.__state == 4:
if event == 'start':
if elem.tag == 'annotation':
self.__sentence.add_annotation(self.__read_annotation(elem))
elif elem.tag == 'relation':
self.__sentence.add_relation(self.__read_relation(elem))
elif event == 'end':
if elem.tag == 'offset':
self.__sentence.offset = int(elem.text)
elif elem.tag == 'text':
self.__sentence.text = elem.text
elif elem.tag == 'infon':
self.__sentence.infons[elem.get('key')] = elem.text
elif elem.tag == 'sentence':
self.__state = 3
if self.__sentence is not None:
self.__passage.add_sentence(self.__sentence)
class BioCXMLDocumentReader:
"""
Reader for the BioC XML format, one document per iteration.
"""
def __init__(self, source: Union[str, BinaryIO]):
# if not isinstance(file, str):
# file = str(file)
self.file = source
self.__context = iter(etree.iterparse(self.file, events=('start', 'end')))
self.__state = 0
self.__event = None
self.__elem = None
self.__read()
def __iter__(self):
return self
def __next__(self):
"""
Reads one BioC document from the XML file.
Returns:
BioCDocument: the BioC document
"""
if self.__document is None:
raise StopIteration
else:
document = self.__document
self.__read()
return document
def __read(self):
while self.__has_next():
event, elem = self.__next_event()
if self.__state == 0:
if event == 'start':
if elem.tag == 'collection':
self.__state = 1
self.__collection = BioCCollection()
# collection information
elif self.__state == 1:
if event == 'start':
if elem.tag == 'document':
self.__document = BioCDocument()
self.__state = 2
elif event == 'end':
if elem.tag == 'source':
self.__collection.source = elem.text
elif elem.tag == 'date':
self.__collection.date = elem.text
elif elem.tag == 'key':
self.__collection.key = elem.text
elif elem.tag == 'infon':
self.__collection.infons[elem.get('key')] = elem.text
elif elem.tag == 'collection':
self.__state = 0
self.__document = None
self.__passage = None
self.__sentence = None
elif self.__state == 2:
if event == 'start':
if elem.tag == 'passage':
self.__passage = BioCPassage()
self.__state = 3
elif elem.tag == 'annotation':
self.__document.add_annotation(self.__read_annotation(elem))
elif elem.tag == 'relation':
self.__document.add_relation(self.__read_relation(elem))
elif event == 'end':
if elem.tag == 'id':
self.__document.id = elem.text
elif elem.tag == 'infon':
self.__document.infons[elem.get('key')] = elem.text
elif elem.tag == 'document':
# Remove previous element and it's ancestors
# Particularly useful for working with large xml files
# - Based on fast_iter modification of lxml context
# Ref: https://codereview.stackexchange.com/questions/2449/parsing-huge-xml-file-with-lxml-etree-iterparse-in-python
if self.__prev_elem is not None:
self.__prev_elem.clear()
for ancestor in self.__prev_elem.xpath('ancestor-or-self::*'):
while ancestor.getprevious() is not None and ancestor.getparent() is not None:
del ancestor.getparent()[0]
self.__state = 1
return
elif self.__state == 3:
if event == 'start':
if elem.tag == 'sentence':
self.__sentence = BioCSentence()
self.__state = 4
elif elem.tag == 'annotation':
self.__passage.add_annotation(self.__read_annotation(elem))
elif elem.tag == 'relation':
self.__passage.add_relation(self.__read_relation(elem))
elif event == 'end':
if elem.tag == 'offset':
self.__passage.offset = int(elem.text)
elif elem.tag == 'text':
self.__passage.text = elem.text
elif elem.tag == 'infon':
self.__passage.infons[elem.get('key')] = elem.text
elif elem.tag == 'passage':
self.__state = 2
if self.__passage is not None:
self.__document.add_passage(self.__passage)
elif self.__state == 4:
if event == 'start':
if elem.tag == 'annotation':
self.__sentence.add_annotation(self.__read_annotation(elem))
elif elem.tag == 'relation':
self.__sentence.add_relation(self.__read_relation(elem))
elif event == 'end':
if elem.tag == 'offset':
self.__sentence.offset = int(elem.text)
elif elem.tag == 'text':
self.__sentence.text = elem.text
elif elem.tag == 'infon':
self.__sentence.infons[elem.get('key')] = elem.text
elif elem.tag == 'sentence':
self.__state = 3
if self.__sentence is not None:
self.__passage.add_sentence(self.__sentence)
def __read_annotation(self, start_elem):
ann = BioCAnnotation()
ann.id = start_elem.get('id')
while self.__has_next():
event, elem = self.__next_event()
if event == 'start':
pass
elif event == 'end':
if elem.tag == 'text':
ann.text = elem.text
elif elem.tag == 'infon':
ann.infons[elem.get('key')] = elem.text
elif elem.tag == 'location':
ann.add_location(BioCLocation(int(elem.get('offset')), int(elem.get('length'))))
elif elem.tag == 'annotation':
return ann
raise RuntimeError("should not reach here") # pragma: no cover
def __read_relation(self, start_elem):
rel = BioCRelation()
rel.id = start_elem.get('id')
while self.__has_next():
event, elem = self.__next_event()
if event == 'start':
pass
elif event == 'end':
if elem.tag == 'infon':
rel.infons[elem.get('key')] = elem.text
elif elem.tag == 'node':
rel.add_node(BioCNode(elem.get('refid'), elem.get('role')))
if elem.tag == 'relation':
return rel
raise RuntimeError("should not reach here") # pragma: no cover
def __has_next(self):
try:
# Track reference to previous element in xml tree - useful for clearing xml element after processing
if self.__elem is not None:
self.__prev_elem = self.__elem
self.__event, self.__elem = next(self.__context)
return True
except StopIteration:
self.__event = None
self.__elem = None
return False
def __next_event(self):
return self.__event, self.__elem
def get_collection_info(self) -> BioCCollection:
"""
Reads the collection information: encoding, version, DTD, source, date, key, infons, etc.
Returns:
the BioC collection that contains only information
"""
return self.__collection
def brat2bioc_doc(bratdoc: BratDocument) -> BioCDocument:
biocdoc = BioCDocument()
biocdoc.id = bratdoc.id
biocdoc.text = bratdoc.text
# entity
for bratentity in bratdoc.entities:
biocdoc.add_annotation(brat2bioc_entity(bratentity))
# relation
for bratrelation in bratdoc.relations:
biocdoc.add_relation(brat2bioc_relation(bratrelation))
# event
for bratevent in bratdoc.events:
biocdoc.add_relation(brat2bioc_event(bratevent))
# equiv
for i, brat_equiv in enumerate(bratdoc.equiv_relations):
brat_equiv.id = '%s%s' % (brat_equiv.id, i)
biocdoc.add_relation(brat2bioc_equiv(brat_equiv))
# attribute
for bratatt in bratdoc.attributes:
ann = biocdoc.get(bratatt.refid)
ann.infons['note_id'] = bratatt.id
ann.infons['attributes'] = ' '.join(sorted(bratatt.attributes))
# note
for bratnote in bratdoc.notes:
ann = biocdoc.get(bratnote.refid)
ann.infons['note_id'] = bratnote.id
ann.infons['type'] = bratnote.type
ann.infons['note'] = bratnote.text
return biocdoc
def __call__(self, doc: bioc.BioCDocument, *args, **kwargs):
doc.infons['fake'] = True