Python highlight.UppercaseFormatter方法代碼示例

# 需要導入模塊: from whoosh import highlight [as 別名]
# 或者: from whoosh.highlight import UppercaseFormatter [as 別名]
def test_workflow_easy():
    schema = fields.Schema(id=fields.ID(stored=True),
                           title=fields.TEXT(stored=True))
    ix = RamStorage().create_index(schema)

    w = ix.writer()
    w.add_document(id=u("1"), title=u("The man who wasn't there"))
    w.add_document(id=u("2"), title=u("The dog who barked at midnight"))
    w.add_document(id=u("3"), title=u("The invisible man"))
    w.add_document(id=u("4"), title=u("The girl with the dragon tattoo"))
    w.add_document(id=u("5"), title=u("The woman who disappeared"))
    w.commit()

    with ix.searcher() as s:
        # Parse the user query
        parser = qparser.QueryParser("title", schema=ix.schema)
        q = parser.parse(u("man"))
        r = s.search(q, terms=True)
        assert len(r) == 2

        r.fragmenter = highlight.WholeFragmenter()
        r.formatter = highlight.UppercaseFormatter()
        outputs = [hit.highlights("title") for hit in r]
        assert outputs == ["The invisible MAN", "The MAN who wasn't there"] 

# 需要導入模塊: from whoosh import highlight [as 別名]
# 或者: from whoosh.highlight import UppercaseFormatter [as 別名]
def test_pinpoint():
    domain = u("alfa bravo charlie delta echo foxtrot golf hotel india juliet "
               "kilo lima mike november oskar papa quebec romeo sierra tango")
    schema = fields.Schema(text=fields.TEXT(stored=True, chars=True))
    ix = RamStorage().create_index(schema)
    w = ix.writer()
    w.add_document(text=domain)
    w.commit()

    assert ix.schema["text"].supports("characters")
    with ix.searcher() as s:
        r = s.search(query.Term("text", "juliet"), terms=True)
        hit = r[0]
        hi = highlight.Highlighter()
        hi.formatter = highlight.UppercaseFormatter()

        assert not hi.can_load_chars(r, "text")
        assert hi.highlight_hit(hit, "text") == "golf hotel india JULIET kilo lima mike november"

        hi.fragmenter = highlight.PinpointFragmenter()
        assert hi.can_load_chars(r, "text")
        assert hi.highlight_hit(hit, "text") == "ot golf hotel india JULIET kilo lima mike nove"

        hi.fragmenter.autotrim = True
        assert hi.highlight_hit(hit, "text") == "golf hotel india JULIET kilo lima mike" 

# 需要導入模塊: from whoosh import highlight [as 別名]
# 或者: from whoosh.highlight import UppercaseFormatter [as 別名]
def test_highlight_ngrams():
    schema = fields.Schema(text=fields.NGRAMWORDS(stored=True))
    ix = RamStorage().create_index(schema)
    with ix.writer() as w:
        w.add_document(text=u("Multiplication and subtraction are good"))

    with ix.searcher() as s:
        qp = qparser.QueryParser("text", ix.schema)
        q = qp.parse(u("multiplication"))
        r = s.search(q)
        assert r.scored_length() == 1

        r.fragmenter = highlight.SentenceFragmenter()
        r.formatter = highlight.UppercaseFormatter()
        snippet = r[0].highlights("text")
        assert snippet == "MULTIPLICATIon and subtracTION are good" 

# 需要導入模塊: from whoosh import highlight [as 別名]
# 或者: from whoosh.highlight import UppercaseFormatter [as 別名]
def test_whole_noterms():
    schema = fields.Schema(text=fields.TEXT(stored=True), tag=fields.KEYWORD)
    ix = RamStorage().create_index(schema)
    with ix.writer() as w:
        w.add_document(text=u("alfa bravo charlie delta echo foxtrot golf"),
                       tag=u("foo"))

    with ix.searcher() as s:
        r = s.search(query.Term("text", u("delta")))
        assert len(r) == 1

        r.fragmenter = highlight.WholeFragmenter()
        r.formatter = highlight.UppercaseFormatter()
        hi = r[0].highlights("text")
        assert hi == u("alfa bravo charlie DELTA echo foxtrot golf")

        r = s.search(query.Term("tag", u("foo")))
        assert len(r) == 1
        r.fragmenter = highlight.WholeFragmenter()
        r.formatter = highlight.UppercaseFormatter()
        hi = r[0].highlights("text")
        assert hi == u("")

        hi = r[0].highlights("text", minscore=0)
        assert hi == u("alfa bravo charlie delta echo foxtrot golf") 

# 需要導入模塊: from whoosh import highlight [as 別名]
# 或者: from whoosh.highlight import UppercaseFormatter [as 別名]
def test_snippets():
    ana = analysis.StemmingAnalyzer()
    schema = fields.Schema(text=fields.TEXT(stored=True, analyzer=ana))
    ix = RamStorage().create_index(schema)
    w = ix.writer()
    w.add_document(text=u("Lay out the rough animation by creating the important poses where they occur on the timeline."))
    w.add_document(text=u("Set key frames on everything that's key-able. This is for control and predictability: you don't want to accidentally leave something un-keyed. This is also much faster than selecting the parameters to key."))
    w.add_document(text=u("Use constant (straight) or sometimes linear transitions between keyframes in the channel editor. This makes the character jump between poses."))
    w.add_document(text=u("Keying everything gives quick, immediate results. But it can become difficult to tweak the animation later, especially for complex characters."))
    w.add_document(text=u("Copy the current pose to create the next one: pose the character, key everything, then copy the keyframe in the playbar to another frame, and key everything at that frame."))
    w.commit()

    target = ["Set KEY frames on everything that's KEY-able",
              "Copy the current pose to create the next one: pose the character, KEY everything, then copy the keyframe in the playbar to another frame, and KEY everything at that frame",
              "KEYING everything gives quick, immediate results"]

    with ix.searcher() as s:
        qp = qparser.QueryParser("text", ix.schema)
        q = qp.parse(u("key"))
        r = s.search(q, terms=True)
        r.fragmenter = highlight.SentenceFragmenter()
        r.formatter = highlight.UppercaseFormatter()

        assert sorted([hit.highlights("text", top=1) for hit in r]) == sorted(target) 

# 需要導入模塊: from whoosh import highlight [as 別名]
# 或者: from whoosh.highlight import UppercaseFormatter [as 別名]
def test_paged_highlights():
    schema = fields.Schema(text=fields.TEXT(stored=True))
    ix = RamStorage().create_index(schema)
    with ix.writer() as w:
        w.add_document(text=u("alfa bravo charlie delta echo foxtrot"))
        w.add_document(text=u("bravo charlie delta echo foxtrot golf"))
        w.add_document(text=u("charlie delta echo foxtrot golf hotel"))
        w.add_document(text=u("delta echo foxtrot golf hotel india"))
        w.add_document(text=u("echo foxtrot golf hotel india juliet"))
        w.add_document(text=u("foxtrot golf hotel india juliet kilo"))

    with ix.searcher() as s:
        q = query.Term("text", u("alfa"))
        page = s.search_page(q, 1, pagelen=3)

        page.results.fragmenter = highlight.WholeFragmenter()
        page.results.formatter = highlight.UppercaseFormatter()
        hi = page[0].highlights("text")
        assert hi == u("ALFA bravo charlie delta echo foxtrot") 

# 需要導入模塊: from whoosh import highlight [as 別名]
# 或者: from whoosh.highlight import UppercaseFormatter [as 別名]
def test_null_fragment():
    terms = frozenset(("bravo", "india"))
    sa = analysis.StandardAnalyzer()
    nf = highlight.WholeFragmenter()
    uc = highlight.UppercaseFormatter()
    htext = highlight.highlight(_doc, terms, sa, nf, uc)
    assert htext == "alfa BRAVO charlie delta echo foxtrot golf hotel INDIA juliet kilo lima" 

# 需要導入模塊: from whoosh import highlight [as 別名]
# 或者: from whoosh.highlight import UppercaseFormatter [as 別名]
def test_sentence_fragment():
    text = u("This is the first sentence. This one doesn't have the word. " +
             "This sentence is the second. Third sentence here.")
    terms = ("sentence",)
    sa = analysis.StandardAnalyzer(stoplist=None)
    sf = highlight.SentenceFragmenter()
    uc = highlight.UppercaseFormatter()
    htext = highlight.highlight(text, terms, sa, sf, uc)
    assert htext == "This is the first SENTENCE...This SENTENCE is the second...Third SENTENCE here" 

# 需要導入模塊: from whoosh import highlight [as 別名]
# 或者: from whoosh.highlight import UppercaseFormatter [as 別名]
def test_context_fragment():
    terms = frozenset(("bravo", "india"))
    sa = analysis.StandardAnalyzer()
    cf = highlight.ContextFragmenter(surround=6)
    uc = highlight.UppercaseFormatter()
    htext = highlight.highlight(_doc, terms, sa, cf, uc)
    assert htext == "alfa BRAVO charlie...hotel INDIA juliet" 

# 需要導入模塊: from whoosh import highlight [as 別名]
# 或者: from whoosh.highlight import UppercaseFormatter [as 別名]
def test_context_at_start():
    terms = frozenset(["alfa"])
    sa = analysis.StandardAnalyzer()
    cf = highlight.ContextFragmenter(surround=15)
    uc = highlight.UppercaseFormatter()
    htext = highlight.highlight(_doc, terms, sa, cf, uc)
    assert htext == "ALFA bravo charlie delta echo foxtrot" 

# 需要導入模塊: from whoosh import highlight [as 別名]
# 或者: from whoosh.highlight import UppercaseFormatter [as 別名]
def test_highlight_wildcards():
    schema = fields.Schema(text=fields.TEXT(stored=True))
    ix = RamStorage().create_index(schema)
    with ix.writer() as w:
        w.add_document(text=u("alfa bravo charlie delta cookie echo"))

    with ix.searcher() as s:
        qp = qparser.QueryParser("text", ix.schema)
        q = qp.parse(u("c*"))
        r = s.search(q)
        assert r.scored_length() == 1
        r.formatter = highlight.UppercaseFormatter()
        hit = r[0]
        assert hit.highlights("text") == "alfa bravo CHARLIE delta COOKIE echo" 

# 需要導入模塊: from whoosh import highlight [as 別名]
# 或者: from whoosh.highlight import UppercaseFormatter [as 別名]
def test_issue324():
    sa = analysis.StemmingAnalyzer()
    result = highlight.highlight(u("Indexed!\n1"), [u("index")], sa,
                                 fragmenter=highlight.ContextFragmenter(),
                                 formatter=highlight.UppercaseFormatter())
    assert result == "INDEXED!\n1" 

# 需要導入模塊: from whoosh import highlight [as 別名]
# 或者: from whoosh.highlight import UppercaseFormatter [as 別名]
def test_highlight_setters():
    schema = fields.Schema(text=fields.TEXT)
    ix = RamStorage().create_index(schema)
    w = ix.writer()
    w.add_document(text=u("Hello"))
    w.commit()

    r = ix.searcher().search(query.Term("text", "hello"))
    hl = highlight.Highlighter()
    ucf = highlight.UppercaseFormatter()
    r.highlighter = hl
    r.formatter = ucf
    assert hl.formatter is ucf 

# 需要導入模塊: from whoosh import highlight [as 別名]
# 或者: from whoosh.highlight import UppercaseFormatter [as 別名]
def find(criteria, reindex=False):
    """
    Search for Azure CLI commands
    :param str criteria: Query text to search for.
    :param bool reindex: Clear the current index and reindex the command modules.
    :return:
    :rtype: None
    """
    from whoosh.qparser import MultifieldParser
    if reindex:
        _create_index()

    try:
        ix = _get_index()
    except ValueError:
        # got a pickle error because the index was written by a different python version
        # recreate the index and proceed
        _create_index()
        ix = _get_index()

    qp = MultifieldParser(
        ['cmd_name', 'short_summary', 'long_summary', 'examples'],
        schema=_get_schema()
    )

    if 'OR' in criteria or 'AND' in criteria:
        # looks more advanced, let's trust them to make a great query
        q = qp.parse(" ".join(criteria))
    else:
        # let's help out with some OR's to provide a less restrictive search
        expanded_query = " OR ".join(criteria) + " OR '{}'".format(criteria)
        q = qp.parse(expanded_query)

    with ix.searcher() as searcher:
        from whoosh.highlight import UppercaseFormatter, ContextFragmenter
        results = searcher.search(q)
        results.fragmenter = ContextFragmenter(maxchars=300, surround=200)
        results.formatter = UppercaseFormatter()
        for hit in results:
            _print_hit(hit) 

# 需要導入模塊: from whoosh import highlight [as 別名]
# 或者: from whoosh.highlight import UppercaseFormatter [as 別名]
def search(self, term):
        results = []
        suggestions = [term]+(self.corrector.suggest(term, limit=5))
        for t in suggestions:
            query = self.parser.parse(t)
            query_res = self.searcher.search(query, limit=100)
            query_res.fragmenter.maxchars = 300
            query_res.fragmenter.surround = 100
            query_res.formatter = UppercaseFormatter()
            results.append((t, query_res))
        return results