bug fix with queue connection dropping out

pipeline.py

@@ -99,7 +99,7 @@ class Components :
 				# print (columns)
 				
 				info = {"rows":_df.shape[0],"cols":_df.shape[1], "partition":part_index,"logs":_args['logs'],"num_gpu":1,"part_size":PART_SIZE}
-				p = {"args":_args,"data":_df.to_dict(orient="records"),"info":info}
+				p = {"args":_args,"data":_df.to_dict(orient="records"),"input":info}
 				part_index += 1
 				qwriter.write(p)
 				#
@@ -124,7 +124,8 @@ class Components :
 			# @log :
 			#	Logging information about the training process for this partition (or not)
 			#
-			info = {"rows":df.shape[0],"cols":df.shape[1], "partition":partition,"logs":_args['logs']}
+			info = {"rows":df.shape[0],"cols":df.shape[1], "partition":int(partition),"logs":_args['logs']}
+			
 			logger.write({"module":"train","action":"train","input":info})
 			data.maker.train(**_args)
 
@@ -211,7 +212,7 @@ class Components :
 		info = {"full":{"path":_fname,"rows":_args['data'].shape[0]},"compare":{"name":_pname,"rows":data_comp.shape[0]} }
 		if partition :
 			info ['partition'] = int(partition)
-		logger.write({"module":"generate","action":"write","info":info} )
+		logger.write({"module":"generate","action":"write","input":info} )
 		
 	@staticmethod
 	def callback(channel,method,header,stream):
@@ -221,11 +222,11 @@ class Components :
 		info = json.loads(stream)
 		logger = factory.instance(type='mongo.MongoWriter',args={'dbname':'aou','doc':SYS_ARGS['context']})
 		
-		logger.write({'module':'process','action':'read-partition','input':info['info']})
+		logger.write({'module':'process','action':'read-partition','input':info['input']})
 		df = pd.DataFrame(info['data'])
 		args = info['args']
 		if args['num_gpu'] > 1 :
-			args['gpu'] = int(info['info']['partition']) if info['info']['partition'] == 0 else info['info']['partition'] + 2
+			args['gpu'] = int(info['info']['partition']) if info['input']['partition'] == 0 else info['input']['partition'] + 2
 		
 		else:
 			args['gpu'] 	= 0
@@ -237,11 +238,12 @@ class Components :
 		# @TODO: Fix
 		# 	There is an inconsistency in column/columns ... fix this shit!
 		#
-		args['columns'] = args['column']		
-		(Components()).train(**args)		
-		logger.write({"module":"process","action":"exit","info":info["info"]})
 		channel.close()
 		channel.connection.close()
+		args['columns'] = args['column']		
+		(Components()).train(**args)		
+		logger.write({"module":"process","action":"exit","input":info["input"]})
+
 		pass
 	
 if __name__ == '__main__' :
@@ -280,18 +282,19 @@ if __name__ == '__main__' :
 		if ''.join(content).isnumeric() :
 			#
 			# we have partitions we are working with
-			make = lambda args: (Components()).generate(args)
+			make = lambda _args: (Components()).generate(_args)
 			jobs = []
-			print (["Started ",len(jobs),"generators"])
+			
 			for id in ''.join(content) :
 				args['partition'] = id
-				job = Process(target=make,args=(args,args))
+				job = Process(target=make,args=(args,))
-				
+				job.name = 'generator # '+str(id)
 				job.start()
 				jobs.append(job)
 
-			while (len(jobs)> 0) :
+			print (["Started ",len(jobs),"generator"+"s" if len(jobs)>1 else "" ])
-				jobs = [jobs for job in jobs if job.is_alive()]
+			while len(jobs)> 0 :
+				jobs = [job for job in jobs if job.is_alive()]
 				time.sleep(2)
 				
 				# generator.generate(args)