コード例 #1
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def get_target_phrases_item_data(target_phrases):
    # make an itemData of our custom target phrases
    target_phrases_item_data = itemData.itemData()
    for target_phrase in target_phrases:
        # create a contextItem from the target phrase
        contextItemTarget = itemData.contextItem(
            [target_phrase, target_phrase, target_phrase, target_phrase])
        target_phrases_item_data.append(contextItemTarget)
    return target_phrases_item_data
コード例 #2
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def get_items(_file):
    def get_fileobj(_file):
        if not urllib.parse.urlparse(_file).scheme:
            _file = "file://"+_file
        return urllib.request.urlopen(_file, data=None)
    f0 = get_fileobj(_file)
    
    context_items =    [contextItem((d["Lex"],
                                    d["Type"],
                                    r"%s"%d["Regex"],
                                    d["Direction"])) for d in yaml.load_all(f0)]
    return context_items
コード例 #3
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def get_target_items(target_list):
    """
    takes concepts response in json format
    """
    target_items = []
    if not target_list:
        return target_items

    target_items = [
        itemData.contextItem(
            (d["lex"], d["type"], r"%s" % d["regex"], d["direction"]))
        for d in target_list
    ]
    return target_items
コード例 #4
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def convertCSVtoitemData(csvFile,
                         encoding='utf-8',
                         delimiter="\t",
                         headerRows=1,
                         literalColumn=0,
                         categoryColumn=1,
                         regexColumn=2,
                         ruleColumn=3):
    """
    takes a CSV file of itemdata rules and creates a single itemData instance.
    csvFile: name of file to read items from
    encoding: unicode enocidng to use; default = 'utf-8'
    headerRows: number of header rows in file; default = 1
    literalColumn: column from which to read the literal; default = 0
    categoryColumn: column from which to read the category; default = 1
    regexColumn: column from which to read the regular expression: default = 2
    ruleColumn: column from which to read the rule; default = 3
    """
    items = itemData.itemData()  # itemData to be returned to the user
    header = []
    #reader, f0 = get_fileobj(csvFile)
    #print csvFile
    f = open(csvFile, 'rU')
    reader = csv.reader(f, delimiter=delimiter)
    # first grab numbe rof specified header rows
    for i in range(headerRows):
        row = next(reader)
        header.append(row)
    # now grab each itemData
    for row in reader:
        #print row
        tmp = [
            row[literalColumn], row[categoryColumn], row[regexColumn],
            row[ruleColumn]
        ]
        tmp[2] = r'''{0}'''.format(
            tmp[2])  # convert the regular expression string into a raw string
        item = itemData.contextItem(tmp)
        items.append(item)
    f.close()
    return items
コード例 #5
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def test_instantiate_contextItem0(items):
    for item in items:
        assert itemData.contextItem(item)
コード例 #6
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def test_contextItem_rule(items):
    cti = itemData.contextItem(items[1])

    assert cti.getRule() == "forward"
コード例 #7
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def test_contextItem_category(items):
    cti = itemData.contextItem(items[1])
    assert cti.getCategory() == ["probable_negated_existence"]
コード例 #8
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ファイル: context.py プロジェクト: reality/mim3val
        iris.append(row[1])
        sentences.append(row[5])

modifiers = itemData.get_items(
    "https://raw.githubusercontent.com/chapmanbe/pyConTextNLP/20c752d6bd5191833f21ab81fc7f41877dca1db6/KB/pneumonia_modifiers.yml"
)

for i in range(len(sentences)):

    # omg
    targets = []
    with open('./hpo_labels.txt') as labelfile:
        reader = csv.reader(labelfile, delimiter='\t')
        for row in reader:
            if (row[1] == iris[i]):
                targets.append(contextItem((row[0], row[1], '', '')))

    s = sentences[i]

    markup = pyConText.ConTextMarkup()
    markup.setRawText(s.lower())
    markup.cleanText()

    markup.markItems(modifiers, mode="modifier")
    markup.markItems(targets, mode="target")

    markup.applyModifiers()
    markup.pruneMarks()
    markup.pruneSelfModifyingRelationships()
    markup.dropInactiveModifiers()
コード例 #9
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def test_contextItem_isa2(items):
    cti = itemData.contextItem(items[1])
    assert cti.isA("PROBABLE_NEGATED_EXISTENCE")
コード例 #10
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def test_contextItem_getRE1(items):
    cti = itemData.contextItem(items[0])
    assert cti.getRE() == r"""pulmonary\s(artery )?(embol[a-z]+)"""
コード例 #11
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ファイル: test1.py プロジェクト: CyberMD/pyConTextNLP-1
 def test_instantiate_contextItem(self):
     cit1 = itemData.contextItem(self.items[0])
     assert cit1
コード例 #12
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def test_contextItem_isa(items):
    cti = itemData.contextItem(items[0])
    assert cti.isA("pulmonary_embolism")
コード例 #13
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def test_contextItem_getRE(items):
    cti = itemData.contextItem(items[1])
    assert cti.getRE() == r'\b%s\b'%items[1][0]
コード例 #14
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def test_contextItem_getRE1(items):
    cti = itemData.contextItem(items[0])
    assert cti.getRE() == r"""pulmonary\s(artery )?(embol[a-z]+)"""
コード例 #15
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def test_contextItem_isa2(items):
    cti = itemData.contextItem(items[1])
    assert cti.isA("PROBABLE_NEGATED_EXISTENCE")
コード例 #16
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def test_contextItem_isa1(items):
    cti = itemData.contextItem(items[0])
    assert cti.isA("PULMONARY_EMBOLISM")
コード例 #17
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def test_contextItem_isa(items):
    cti = itemData.contextItem(items[0])
    assert cti.isA("pulmonary_embolism")
コード例 #18
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def test_contextItem_literal(items):
    cti = itemData.contextItem(items[0])

    assert cti.getLiteral() == "pulmonary embolism"
コード例 #19
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ファイル: test1.py プロジェクト: CyberMD/pyConTextNLP-1
 def test_instantiate_itemData(self):
     cit1 = itemData.contextItem(self.items[0])
     it1 = itemData.itemData()
     it1.append(cit1)
     assert it1
コード例 #20
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def test_contextItem_category(items):
    cti = itemData.contextItem(items[1])
    assert cti.getCategory() == ["probable_negated_existence"]
コード例 #21
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ファイル: test1.py プロジェクト: CyberMD/pyConTextNLP-1
 def test_instantiate_itemData(self):
     cit1 = itemData.contextItem(self.items[0])
     it1 = itemData.itemData()
     it1.append(cit1)
     assert it1
コード例 #22
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def test_contextItem_isa1(items):
    cti = itemData.contextItem(items[0])
    assert cti.isA("PULMONARY_EMBOLISM")
コード例 #23
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def test_contextItem_rule(items):
    cti = itemData.contextItem(items[1])

    assert cti.getRule() == "forward"
コード例 #24
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def test_contextItem_getRE(items):
    cti = itemData.contextItem(items[1])
    assert cti.getRE() == r'\b%s\b' % items[1][0]
コード例 #25
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def test_instantiate_contextItem0(items):
    for item in items:
        assert itemData.contextItem(item)
コード例 #26
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ファイル: test1.py プロジェクト: CyberMD/pyConTextNLP-1
 def test_instantiate_contextItem(self):
     cit1 = itemData.contextItem(self.items[0])
     assert cit1
コード例 #27
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def test_contextItem_literal(items):
    cti = itemData.contextItem(items[0])

    assert cti.getLiteral() == "pulmonary embolism"