def get(self):
     offset_id = int(self.get_argument("offset_id", 0))
     results = tuple(Result.get_results(offset_id=offset_id))
     self.render(
         "admin/overview/results.html",
         count=Result.get_count(),
         results=results,
         next_offset_id=results[-1]["id"] if results else 0,
     )
Beispiel #2
0
 def get(self):
     args = {k: self.get_argument(k, default) for (k, default) in [('offset_id', 0), ('limit',1000), ('project_id',None)]}
     results = tuple(Result.get_results(**args))
     self.render(
         'admin/overview/results.html',
         count=Result.get_count() if args['project_id'] is None else 0,
         results=results,
         next_higher_offset_id=int(results[0]['id'])+int(args['limit']) if results else 0,
         next_lower_offset_id=int(results[-1]['id'])-1 if results else 0,
         **args)
Beispiel #3
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 def get(self):
     args = {k: self.get_argument(k, default) for (k, default) in [('offset_id', 0), ('limit',1000), ('project_id',None)]}
     results = tuple(Result.get_results(**args))
     self.render(
         'admin/overview/results.html',
         count=Result.get_count() if args['project_id'] is None else 0,
         results=results,
         next_higher_offset_id=int(results[0]['id'])+int(args['limit']) if results else 0,
         next_lower_offset_id=int(results[-1]['id'])-1 if results else 0,
         **args)
Beispiel #4
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def has_results(args):
    bootstrap = Bootstrap()
    bootstrap.setup_args()
    bootstrap.parse_args(args=[args.config_path])
    bootstrap.load_config()
    bootstrap.setup_database()

    if Result.has_results():
        if args.min_batch_size:
            return Result.get_count() >= args.min_batch_size
        else:
            return True
def has_results(args):
    bootstrap = Bootstrap()
    bootstrap.setup_args()
    bootstrap.parse_args(args=[args.config_path])
    bootstrap.load_config()
    bootstrap.setup_database()

    if Result.has_results():
        if args.min_batch_size:
            return Result.get_count() >= args.min_batch_size
        else:
            return True