def copy_parses(settings):
"Copy relevant stanford parser outputs from corpus to report"
output_dir = settings.output_dir
docs = set(k.doc for k in settings.corpus)
for doc in docs:
subdocs = set(k.subdoc for k in settings.corpus if k.doc == doc)
if subdocs:
k = FileId(doc=doc,
subdoc=list(subdocs)[0],
stage=None,
annotator=None)
i_style_dir = fp.dirname(parsed_file_name(k, settings.corpus_dir))
o_style_dir = fp.dirname(parsed_file_name(k, output_dir))
i_style_file = fp.join(i_style_dir, 'CoreNLP-to-HTML.xsl')
if fp.exists(i_style_file):
if not fp.exists(o_style_dir):
os.makedirs(o_style_dir)
shutil.copy(i_style_file, o_style_dir)
for subdoc in subdocs:
k = FileId(doc=doc, subdoc=subdoc, stage=None, annotator=None)
i_file = parsed_file_name(k, settings.corpus_dir)
o_file = parsed_file_name(k, output_dir)
o_dir = fp.dirname(o_file)
if fp.exists(i_file):
if not fp.exists(o_dir):
os.makedirs(o_dir)
shutil.copy(i_file, o_dir)
def copy_parses(settings):
corpus = settings.corpus
output_dir = settings.output_dir
docs = set(k.doc for k in settings.corpus)
for doc in docs:
subdocs = set(k.subdoc for k in settings.corpus if k.doc == doc)
if subdocs:
k = FileId(doc=doc,
subdoc=list(subdocs)[0],
stage=None,
annotator=None)
i_style_dir = os.path.dirname(stac_corenlp.parsed_file_name(k, settings.corpus_dir))
o_style_dir = os.path.dirname(stac_corenlp.parsed_file_name(k, output_dir))
i_style_file = os.path.join(i_style_dir, 'CoreNLP-to-HTML.xsl')
if os.path.exists(i_style_file):
if not os.path.exists(o_style_dir):
os.makedirs(o_style_dir)
shutil.copy(i_style_file, o_style_dir)
for subdoc in subdocs:
k = FileId(doc=doc, subdoc=subdoc, stage=None, annotator=None)
i_file = stac_corenlp.parsed_file_name(k, settings.corpus_dir)
o_file = stac_corenlp.parsed_file_name(k, output_dir)
o_dir = os.path.dirname(o_file)
if os.path.exists(i_file):
if not os.path.exists(o_dir):
os.makedirs(o_dir)
shutil.copy(i_file, o_dir)
def copy_parses(settings):
"Copy relevant stanford parser outputs from corpus to report"
output_dir = settings.output_dir
docs = set(k.doc for k in settings.corpus)
for doc in docs:
subdocs = set(k.subdoc for k in settings.corpus if k.doc == doc)
if subdocs:
k = FileId(doc=doc,
subdoc=list(subdocs)[0],
stage=None,
annotator=None)
i_style_dir = fp.dirname(parsed_file_name(k, settings.corpus_dir))
o_style_dir = fp.dirname(parsed_file_name(k, output_dir))
i_style_file = fp.join(i_style_dir, 'CoreNLP-to-HTML.xsl')
if fp.exists(i_style_file):
if not fp.exists(o_style_dir):
os.makedirs(o_style_dir)
shutil.copy(i_style_file, o_style_dir)
for subdoc in subdocs:
k = FileId(doc=doc, subdoc=subdoc, stage=None, annotator=None)
i_file = parsed_file_name(k, settings.corpus_dir)
o_file = parsed_file_name(k, output_dir)
o_dir = fp.dirname(o_file)
if fp.exists(i_file):
if not fp.exists(o_dir):
os.makedirs(o_dir)
shutil.copy(i_file, o_dir)
def _prepare_path(output_dir, k):
"""
Return an output filename and create its parent dir if needed
"""
output_path = parsed_file_name(k, output_dir)
parent_dir = fp.dirname(output_path)
if not fp.exists(parent_dir):
os.makedirs(parent_dir)
return output_path
def _prepare_path(output_dir, k):
"""
Return an output filename and create its parent dir if needed
"""
output_path = parsed_file_name(k, output_dir)
parent_dir = fp.dirname(output_path)
if not fp.exists(parent_dir):
os.makedirs(parent_dir)
return output_path