mirror of https://github.com/explosion/spaCy.git
104 lines
3.8 KiB
Python
104 lines
3.8 KiB
Python
# coding: utf8
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from __future__ import unicode_literals
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from .render import DependencyRenderer, EntityRenderer
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from ..tokens import Doc
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from ..util import prints
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_html = {}
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def render(docs, style='dep', page=False, minify=False, jupyter=False, options={}):
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"""Render displaCy visualisation.
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docs (list or Doc): Document(s) to visualise.
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style (unicode): Visualisation style, 'dep' or 'ent'.
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page (bool): Render markup as full HTML page.
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minify (bool): Minify HTML markup.
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jupyter (bool): Experimental, use Jupyter's display() to output markup.
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options (dict): Visualiser-specific options, e.g. colors.
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RETURNS: Rendered HTML markup.
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"""
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if isinstance(docs, Doc):
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docs = [docs]
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if style is 'dep':
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renderer = DependencyRenderer(options=options)
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parsed = [parse_deps(doc, options) for doc in docs]
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elif style is 'ent':
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renderer = EntityRenderer(options=options)
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parsed = [parse_ents(doc, options) for doc in docs]
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_html['parsed'] = renderer.render(parsed, page=page, minify=minify).strip()
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html = _html['parsed']
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if jupyter: # return HTML rendered by IPython display()
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from IPython.core.display import display, HTML
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return display(HTML(html))
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return html
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def serve(docs, style='dep', page=True, minify=False, options={}, port=5000):
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"""Serve displaCy visualisation.
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docs (list or Doc): Document(s) to visualise.
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style (unicode): Visualisation style, 'dep' or 'ent'.
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page (bool): Render markup as full HTML page.
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minify (bool): Minify HTML markup.
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options (dict): Visualiser-specific options, e.g. colors.
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port (int): Port to serve visualisation.
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"""
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from wsgiref import simple_server
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render(docs, style=style, page=page, minify=minify, options=options)
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httpd = simple_server.make_server('0.0.0.0', port, app)
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prints("Using the '%s' visualizer" % style, title="Serving on port %d..." % port)
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httpd.serve_forever()
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def app(environ, start_response):
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start_response('200 OK', [('Content-type', 'text/html; charset=utf-8')])
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res = _html['parsed'].encode(encoding='utf-8')
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return [res]
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def parse_deps(doc, options={}):
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"""Generate dependency parse in {'words': [], 'arcs': []} format.
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doc (Doc): Document do parse.
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RETURNS (dict): Generated dependency parse keyed by words and arcs.
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"""
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if options.get('collapse_punct', True):
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spans = []
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for word in doc[:-1]:
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if word.is_punct or not word.nbor(1).is_punct:
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continue
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start = word.i
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end = word.i + 1
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while end < len(doc) and doc[end].is_punct:
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end += 1
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span = doc[start : end]
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spans.append((span.start_char, span.end_char, word.tag_,
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word.lemma_, word.ent_type_))
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for span_props in spans:
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doc.merge(*span_props)
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words = [{'text': w.text, 'tag': w.tag_} for w in doc]
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arcs = []
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for word in doc:
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if word.i < word.head.i:
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arcs.append({'start': word.i, 'end': word.head.i,
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'label': word.dep_, 'dir': 'left'})
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elif word.i > word.head.i:
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arcs.append({'start': word.head.i, 'end': word.i,
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'label': word.dep_, 'dir': 'right'})
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return {'words': words, 'arcs': arcs}
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def parse_ents(doc, options={}):
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"""Generate named entities in [{start: i, end: i, label: 'label'}] format.
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doc (Doc): Document do parse.
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RETURNS (dict): Generated entities keyed by text (original text) and ents.
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"""
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ents = [{'start': ent.start_char, 'end': ent.end_char, 'label': ent.label_}
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for ent in doc.ents]
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title = doc.user_data.get('title', None)
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return {'text': doc.text, 'ents': ents, 'title': title}
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