plugins removed from root plugin folder

dream/plugins/AddDemandPlannerGenerator.py

-from copy import copy
-import json
-import time
-import random
-import operator
-import datetime
-
-from dream.plugins import plugin
-
-class AddDemandPlannerGenerator(plugin.InputPreparationPlugin):
-    """ Input preparation 
-        adds an EventGenerator that will call the Demand Planning algorithm once
-    """
-
-    def preprocess(self, data):
-        nodes=data['graph']['node']
-        data_uri_encoded_input_data = data['input'].get(self.configuration_dict['input_id'], {})      
-        
-        algorithmAttributes=copy(data['general'])
-        
-        nodes['DPG']={
-            "name": "DemandPlannerGenerator", 
-            "prioritizeIfCanFinish": 1, 
-            "interval": 1, 
-            "start": 0,
-            "stop": 0.5,
-            "_class": "dream.simulation.EventGenerator.EventGenerator",
-            "method": "dream.simulation.applications.DemandPlanning.executor_ACO.main",
-            "argumentDict": {'input':data_uri_encoded_input_data, 'algorithmAttributes':algorithmAttributes}
-        }
-        #print nodes
-        return data
-
-    
\ No newline at end of file

dream/plugins/DemandPlanningLine.py

-from dream.plugins import plugin
-from dream.plugins.TimeSupport import TimeSupportMixin
-from datetime import datetime
-
-class DemandPlanningLine(plugin.OutputPreparationPlugin, TimeSupportMixin):
-  """ Output the queue statistics in a format compatible with Output_viewGraph
-  """
-
-  def postprocess(self, data):
- 
-    from dream.simulation.applications.DemandPlanning.Globals import G
-    utilisation=G.Utilisation
-    # XXX current implementation for one bottleneck
-    for bottleneck in ['BE_A_VF78_DSO_3','BE_A_VK18_DKO_5']:
-        bottleNeckUtilization=G.Utilisation[bottleneck]      
-        dateList=[]
-        # get the current date from the data
-        for record_id,record in bottleNeckUtilization.iteritems():
-            year=str(record_id)[0:4]
-            week=str(record_id)[4:]
-            fullDate=datetime.strptime(year+'-'+week+'-0', '%Y-%W-%w')
-            dateList.append(fullDate)
-        currentDate=str(min(dateList))
-        currentDate=currentDate.replace('-', '/')
-        data['general']['currentDate']=currentDate
-        data['general']['timeUnit']='week'
-        self.initializeTimeSupport(data)
-        result = data['result']['result_list'][-1]
-    
-        series = []
-        options = {
-          "xaxis": {
-            "mode": "time",
-            "minTickSize": [1, self.getTimeUnitText()],
-          }
-        }
-     
-        result[bottleneck] = {
-          "series": series,
-          "options": options
-        }
-        
-        # create the 3 lines
-        for utilizationType in ['averageUtilization','minUtilization','maxUtilization']:
-            utilizationList=[]
-            for record_id,record in bottleNeckUtilization.iteritems():
-                year=str(record_id)[0:4]
-                week=str(record_id)[4:]
-                fullDate=datetime.strptime(year+'-'+week+'-0', '%Y-%W-%w')
-                utilizationList.append([fullDate,record[utilizationType]])
-                
-            utilizationList.sort(key=lambda x: x[0], reverse=True)    
-            series.append({
-                "label": utilizationType,
-                "data": [((time-datetime(1970, 1, 1)).total_seconds()*1000, value) for (time, value) in utilizationList]
-            })
-            
-    return data

dream/plugins/PostProcessDemandPlanning.py

-from dream.plugins import plugin
-
-class PostProcessDemandPlanning(plugin.OutputPreparationPlugin):
-  """ Output the result of demand planning in a format compatible with
-  Output_viewDownloadFile
-  """
-
-  def postprocess(self, data):
-    # XXX the event generator should store its result in data and not in global
-    # variable.
-    from dream.simulation.applications.DemandPlanning.Globals import G
-    data['result']['result_list'][-1][self.configuration_dict['output_id']] = {
-      'name': 'Result.xlsx',
-      'mime_type': 'application/vnd.ms-excel',
-      'data': G.reportResults.xlsx.encode('base64')
-    }
-    return data