mirror of
https://github.com/explosion/spaCy.git
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6d978e5c35
As reported here: https://stackoverflow.com/a/48464412/6400719
126 lines
4.7 KiB
Python
126 lines
4.7 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 ..compat import b_to_str
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from ..util import prints, is_in_jupyter
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_html = {}
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IS_JUPYTER = is_in_jupyter()
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def render(docs, style='dep', page=False, minify=False, jupyter=IS_JUPYTER,
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options={}, manual=False):
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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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manual (bool): Don't parse `Doc` and instead expect a dict/list of dicts.
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RETURNS (unicode): Rendered HTML markup.
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"""
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factories = {'dep': (DependencyRenderer, parse_deps),
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'ent': (EntityRenderer, parse_ents)}
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if style not in factories:
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raise ValueError("Unknown style: %s" % style)
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if isinstance(docs, Doc) or isinstance(docs, dict):
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docs = [docs]
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renderer, converter = factories[style]
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renderer = renderer(options=options)
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parsed = [converter(doc, options) for doc in docs] if not manual else 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={}, manual=False,
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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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manual (bool): Don't parse `Doc` and instead expect a dict/list of dicts.
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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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manual=manual)
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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,
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title="Serving on port %d..." % port)
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try:
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httpd.serve_forever()
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except KeyboardInterrupt:
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prints("Shutting down server on port %d." % port)
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finally:
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httpd.server_close()
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def app(environ, start_response):
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# headers and status need to be bytes in Python 2, see #1227
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headers = [(b_to_str(b'Content-type'),
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b_to_str(b'text/html; charset=utf-8'))]
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start_response(b_to_str(b'200 OK'), headers)
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res = _html['parsed'].encode(encoding='utf-8')
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return [res]
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def parse_deps(orig_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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doc = Doc(orig_doc.vocab).from_bytes(orig_doc.to_bytes())
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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 start, end, tag, lemma, ent_type in spans:
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doc.merge(start, end, tag=tag, lemma=lemma, ent_type=ent_type)
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if options.get('fine_grained'):
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words = [{'text': w.text, 'tag': w.tag_} for w in doc]
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else:
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words = [{'text': w.text, 'tag': w.pos_} 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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if hasattr(doc, 'user_data') else None)
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return {'text': doc.text, 'ents': ents, 'title': title}
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