Beispiel #1
def test_extract_emails():
    txt = '''
email: [email protected]
email: [email protected]
    assert StringCounter(features.emails(txt)) == StringCounter({
        '[email protected]': 2,
Beispiel #2
def html_to_fc(html=None, clean_html=None, clean_visible=None, encoding=None, url=None,
               timestamp=None, other_features=None):
    '''`html` is expected to be a raw string received over the wire from a
    remote webserver, and `encoding`, if provided, is used to decode
    it.  Typically, encoding comes from the Content-Type header field.
    The :func:`~streamcorpus_pipeline._clean_html.make_clean_html`
    function handles character encodings.

    def add_feature(name, xs):
        if name not in fc:
            fc[name] = StringCounter()
        fc[name] += StringCounter(xs)

    timestamp = timestamp or int(time.time() * 1000)
    other_features = other_features or {}

    if clean_html is None:
        if html is not None:
                clean_html_utf8 = make_clean_html(html, encoding=encoding)
                logger.warn('dropping doc because:', exc_info=True)
            clean_html = clean_html_utf8.decode('utf-8')
            clean_html_utf8 = u''
            clean_html = u''
        clean_html_utf8 = u''

    if clean_visible is None or len(clean_visible) == 0:
        clean_visible = make_clean_visible(clean_html_utf8).decode('utf-8')
    elif isinstance(clean_visible, str):
        clean_visible = clean_visible.decode('utf-8')

    fc = FeatureCollection()
    fc[u'meta_raw'] = html and uni(html, encoding) or u''
    fc[u'meta_clean_html'] = clean_html
    fc[u'meta_clean_visible'] = clean_visible
    fc[u'meta_timestamp'] = unicode(timestamp)

    url = url or u''

    fc[u'meta_url'] = uni(url)

    add_feature(u'icq', features.ICQs(clean_visible))
    add_feature(u'skype', features.skypes(clean_visible))
    add_feature(u'phone', features.phones(clean_visible))
    add_feature(u'email', features.emails(clean_visible))
    bowNP, normalizations = features.noun_phrases(
        cleanse(clean_visible), included_unnormalized=True)
    add_feature(u'bowNP', bowNP)
    bowNP_unnorm = chain(*normalizations.values())
    add_feature(u'bowNP_unnorm', bowNP_unnorm)

    add_feature(u'image_url', features.image_urls(clean_html))
    add_feature(u'a_url', features.a_urls(clean_html))

    ## get parsed versions, extract usernames
    fc[u'img_url_path_dirs'] = features.path_dirs(fc[u'image_url'])
    fc[u'img_url_hostnames'] = features.host_names(fc[u'image_url'])
    fc[u'usernames'] = features.usernames(fc[u'image_url'])

    fc[u'a_url_path_dirs'] = features.path_dirs(fc[u'a_url'])
    fc[u'a_url_hostnames'] = features.host_names(fc[u'a_url'])

    fc[u'usernames'] += features.usernames(fc[u'a_url'])

    #fc[u'usernames'] += features.usernames2(
    #    fc[u'meta_clean_visible'])

    # beginning of treating this as a pipeline...
    xform = features.entity_names()
    fc = xform.process(fc)

    for feat_name, feat_val in other_features.iteritems():
        fc[feat_name] += StringCounter(feat_val)

    return fc