def calculate_colls(coll_args: coll_calc.CollCalcArgs):
"""
"""
ans = coll_calc.calculate_colls_bg(coll_args)
if not ans['processing'] and len(ans['data']['Items']) > 0:
with open(coll_args.cache_path, 'wb') as f:
pickle.dump(ans['data'], f)
return ans
def calculate_colls(coll_args):
"""
arguments:
coll_args -- dict-serialized coll_calc.CollCalcArgs
"""
coll_args = coll_calc.CollCalcArgs(**coll_args)
calculate_colls.cache_path = coll_args.cache_path
ans = coll_calc.calculate_colls_bg(coll_args)
trigger_cache_limit = settings.get_int('corpora', 'colls_cache_min_lines', 10)
if not ans['processing'] and len(ans['data']['Items']) >= trigger_cache_limit:
calculate_colls.cache_data = ans['data']
else:
calculate_colls.cache_data = None
return ans