def _updateModelDBResults(self):
    """ Retrieves the current results and updates the model's record in
    the Model database.
    """

    # -----------------------------------------------------------------------
    # Get metrics
    metrics = self._getMetrics()

    # -----------------------------------------------------------------------
    # Extract report metrics that match the requested report REs
    reportDict = dict([(k,metrics[k]) for k in self._reportMetricLabels])

    # -----------------------------------------------------------------------
    # Extract the report item that matches the optimize key RE
    # TODO cache optimizedMetricLabel sooner
    metrics = self._getMetrics()
    optimizeDict = dict()
    if self._optimizeKeyPattern is not None:
      optimizeDict[self._optimizedMetricLabel] = \
                                      metrics[self._optimizedMetricLabel]

    # -----------------------------------------------------------------------
    # Update model results
    results = json.dumps((metrics , optimizeDict))
    self._jobsDAO.modelUpdateResults(self._modelID,  results=results,
                              metricValue=optimizeDict.values()[0],
                              numRecords=(self._currentRecordIndex + 1))

    self._logger.debug(
      "Model Results: modelID=%s; numRecords=%s; results=%s" % \
        (self._modelID, self._currentRecordIndex + 1, results))

    return
def _updateModelDBResults(self):
    """ Retrieves the current results and updates the model's record in
    the Model database.
    """

    # -----------------------------------------------------------------------
    # Get metrics
    metrics = self._getMetrics()

    # -----------------------------------------------------------------------
    # Extract report metrics that match the requested report REs
    reportDict = dict([(k,metrics[k]) for k in self._reportMetricLabels])

    # -----------------------------------------------------------------------
    # Extract the report item that matches the optimize key RE
    # TODO cache optimizedMetricLabel sooner
    metrics = self._getMetrics()
    optimizeDict = dict()
    if self._optimizeKeyPattern is not None:
      optimizeDict[self._optimizedMetricLabel] = \
                                      metrics[self._optimizedMetricLabel]

    # -----------------------------------------------------------------------
    # Update model results
    results = json.dumps((metrics , optimizeDict))
    self._jobsDAO.modelUpdateResults(self._modelID,  results=results,
                              metricValue=optimizeDict.values()[0],
                              numRecords=(self._currentRecordIndex + 1))

    self._logger.debug(
      "Model Results: modelID=%s; numRecords=%s; results=%s" % \
        (self._modelID, self._currentRecordIndex + 1, results))

    return
def _updateModelDBResults ( self ) : # ----------------------------------------------------------------------- # Get metrics metrics = self . _getMetrics ( ) # ----------------------------------------------------------------------- # Extract report metrics that match the requested report REs reportDict = dict ( [ ( k , metrics [ k ] ) for k in self . _reportMetricLabels ] ) # ----------------------------------------------------------------------- # Extract the report item that matches the optimize key RE # TODO cache optimizedMetricLabel sooner metrics = self . _getMetrics ( ) optimizeDict = dict ( ) if self . _optimizeKeyPattern is not None : optimizeDict [ self . _optimizedMetricLabel ] = metrics [ self . _optimizedMetricLabel ] # ----------------------------------------------------------------------- # Update model results results = json . dumps ( ( metrics , optimizeDict ) ) self . _jobsDAO . modelUpdateResults ( self . _modelID , results = results , metricValue = optimizeDict . values ( ) [ 0 ] , numRecords = ( self . _currentRecordIndex + 1 ) ) self . _logger . debug ( "Model Results: modelID=%s; numRecords=%s; results=%s" % ( self . _modelID , self . _currentRecordIndex + 1 , results ) ) return
Retrieves the current results and updates the model's record in
    the Model database.
Retrieves the current results and updates the model s record in the Model database .