def _classify_paper_with_deposit(obj, eng):
from invenio_deposit.models import Deposition
deposition = Deposition(obj)
data = None
if not fast_mode:
for f in deposition.files:
if f.name and ".pdf" in f.name.lower():
data = f.get_syspath()
break
callback = get_keywords_from_local_file
if not data:
try:
metadata = deposition.get_latest_sip().metadata
except AttributeError as err:
obj.log.error("Error getting data: {0}".format(err))
data = [
metadata.get("title", {}).get("title", ""),
metadata.get("abstract", {}).get("summary", "")
]
callback = get_keywords_from_text
classify_paper(obj, eng, callback, data, taxonomy, rebuild_cache,
no_cache, output_limit, spires, match_mode,
with_author_keywords, extract_acronyms, only_core_tags,
fast_mode)
