benchmark_with_mongodict

Wrote profile results to benchmarking.py.lprof
Timer unit: 1e-06 s

Total time: 3.2938 s
File: pypln/backend/celery_task.py
Function: run at line 45

Line #      Hits         Time  Per Hit   % Time  Line Contents
==============================================================
    45                                               @profile
    46                                               def run(self, document_id):
    47                                                   """
    48                                                   This method is called by Celery, and should not be overridden.
    49                                                   It will call the `process` method with a dictionary containing all the
    50                                                   document information and will update de database with results.
    51                                                   """
    52       100          340      3.4      0.0          document = MongoDictAdapter(doc_id=document_id,
    53       100          245      2.5      0.0                  host=config.MONGODB_CONFIG['host'],
    54       100          130      1.3      0.0                  port=config.MONGODB_CONFIG['port'],
    55       100       351966   3519.7     10.7                  database=config.MONGODB_CONFIG['database'])
    56                                                   # Create a dictionary out of our document. We could simply pass
    57                                                   # it on to the process method, but for now we won't let the user
    58                                                   # manipulate the MongoDict directly.
    59       100      1507720  15077.2     45.8          dic = {k: v for k, v in document.iteritems()}
    60       100      1140490  11404.9     34.6          result = self.process(dic)
    61       100       292692   2926.9      8.9          document.update(result)
    62       100          217      2.2      0.0          return document_id