bug fix with partitions (generation may require it regardless)

data/gan.py

@@ -356,7 +356,7 @@ class Train (GNet):
                 self.meta = self.log_meta()
                 if(self.logger):
                         
-                        self.logger.write( self.meta )
+                        self.logger.write({"module":"gan-train","action":"start","input":self.meta} )
                 
                 # self.log (real_shape=list(self._REAL.shape),label_shape = self._LABEL.shape,meta_data=self.meta)
         def load_meta(self, column):
@@ -514,7 +514,7 @@ class Train (GNet):
                                                 #
                                                 #
                                                 if self.logger :
-                                                        row = {"logs":logs} #,"model":pickle.dump(sess)}                                                        
+                                                        row = {"module":"gan-train","action":"logs","input":logs} #,"model":pickle.dump(sess)}                                                        
                                                         self.logger.write(row)
                                                         #
                                                         # @TODO:

pipeline.py

@@ -131,6 +131,7 @@ class Components :
 		log_folder = args['logs'] if 'logs' in args else 'logs'
 		partition = args['partition'] if 'partition' in args else ''
 		log_folder = os.sep.join([log_folder,args['context'],partition])
+
 		_args = {"batch_size":10000,"logs":log_folder,"context":args['context'],"max_epochs":150,"column":args['columns'],"id":"person_id","logger":logger}
 		_args['max_epochs'] = 150 if 'max_epochs' not in args else int(args['max_epochs'])
 		_args['num_gpu'] = int(args['num_gpu']) if 'num_gpu' in args else 1 
@@ -143,12 +144,31 @@ class Components :
 		# _args['data'] = pd.read_gbq(SQL,credentials=credentials,dialect='standard').dropna()
 		reader = args['reader']
 		df = reader()
-		if 'partition' in args :
+		bounds = Components.split(df,MAX_ROWS,PART_SIZE)
+		if partition != '' and os.path.exists(log_folder):
 			bounds = Components.split(df,MAX_ROWS,PART_SIZE)
 			# bounds = list(pd.cut( np.arange(df.shape[0]+1),PART_SIZE).categories)
 			lbound = int(bounds[int(partition)].left)
 			ubound = int(bounds[int(partition)].right)
 			df = df.iloc[lbound:ubound]
+		else:
+			#
+			# We have an implicit partition here
+			# bounds = Components.split(df,MAX_ROWS,PART_SIZE)
+			logger.write({"module":"generate","action":"virtual-parititions","input":{"rows":df.shape[0],"max_rows":MAX_ROWS,"part_size":PART_SIZE}})
+			for item in bounds :
+
+				lbound = int(item.left)
+				ubound = int(item.right)
+				args['reader'] = lambda: df[lbound:ubound]
+				args['partition'] = bounds.index(item)
+				
+				self.generate(args)
+			return ;
+		if not os.path.exists(log_folder) :
+			log_folder = log_folder.replace(partition,'')
+			_args['logs'] = log_folder
+
 		_args['data'] = df
 			# _args['data'] = reader()
 		#_args['data'] = _args['data'].astype(object)
@@ -193,7 +213,7 @@ class Components :
 			_fname = table.replace('_io','_full_io')
 			data_comp.to_gbq(if_exists='replace',destination_table=_pname,credentials='credentials',chunk_size=50000)	
 			data_comp.to_csv(_pname,index=False)
-			INSERT_FLAG = 'replace' if 'partition' not in args else 'append'	
+			INSERT_FLAG = 'replace' if 'partition' not in args or 'segment' not in args else 'append'	
 			_args['data'].to_gbq(if_exists=INSERT_FLAG,destination_table=_fname,credentials='credentials',chunk_size=50000)
 		
 		info = {"full":{"path":_fname,"rows":_args['data'].shape[0]},"compare":{"name":_pname,"rows":data_comp.shape[0]} }
@@ -236,7 +256,8 @@ if __name__ == '__main__' :
 	
 	args = dict(args,**SYS_ARGS)
 	args['max_rows'] 	= int(args['max_rows']) 	if 'max_rows' in args else 3
-	args['part_size']= int(args['part_size']) 	if 'part_size' in args else 3
+	args['part_size']	= int(args['part_size']) 	if 'part_size' in args else 4
+	args['logs'] 		= args['logs'] if 'logs' in args else 'logs'
 	if 'dataset' not in args :
 		args['dataset'] = 'combined20191004v2_deid'
 
@@ -257,6 +278,7 @@ if __name__ == '__main__' :
 		
 		content = os.listdir( os.sep.join([args['logs'],args['context']]))
 		generator = Components()
+		
 		if ''.join(content).isnumeric() :
 			#
 			# we have partitions we are working with