plancton-dummy-injector.py

#!/bin/env python

import json
import time
from datetime import datetime
from elasticsearch import Elasticsearch

ncpus = 8
dummy_string =  {'host': { 'ip': '193.205.66.55',           
                            'hostname': 'ali55xl.to.infn.it',
                            'hardware': { 'tot_cores': 8,    
                                          'tot_ram': 8,      
                                          'tot_storage': 500 
                                        },                   
                            'system': { 'distro': 'Centos07',                         
                        		        'kernel_version': '3.10.0-327.13.1.el7.x86_64'
                                      },                                              
                            'docker': { 'version': '1.10.3',  
                                        'build': '20f81dd',   
                                        'api_version': '1.22' 
                                      },                      
                            'plancton': { 'version': '0.3.2', 
                                          'status': 'running',
                                          'has_pid': True,    
                                          'config': { 'cpus_per_docks': 0.5, 
                                                      'max_docks': ncpus - 1,
                                                      'rigidity': 'soft',    
                                                      'morbidity': 'hard',   
                                                      'cputhresh': 75        
                                                    },
                                        },                        
                            'volatile': { 'timestamp': datetime.utcnow().isoformat(),               
                                          'cpu_efficiency': 56,                                               
                                          'nodes': [ { 'id': '1e9c4ce1d767',                                  
                                                       'name': 'plancton-slave-Bs2noN',                       
                                                       'image':  'mconcas/centos6-autobuild-container:latest',
                                                       'status': 'active',                                    
                                                       'pid': '742176'                                        
                                                     },                                                       
                                                     { 'id': 'f68083a1bf5d',                                  
                                                       'name': 'plancton-slave-YBa6WN',                       
                                                       'image':  'mconcas/centos6-autobuild-container:latest',
                      
                                 'status': 'inactive',                                  
                                                       'pid': ' --- '                                         
                                                     }                                                        
                                                   ]                                                                                                                               
                                        }
                         }
                }

es = Elasticsearch([ '193.205.66.55:9200' ])
for i in range(10):
	print es.index(index="plancton", doc_type="host", body={ "timestamp": datetime.utcnow().isoformat(), "host_data": dummy_string })