bug fix: ETL jobs and streamline

transport/etl.py

@@ -91,20 +91,24 @@ class ETL (Process):
         super().__init__()
 
         self.name 	= _args['id'] if 'id' in _args else 'UNREGISTERED'
-        if 'provider' not in _args['source'] :
-            #@deprecate
-            self.reader = transport.factory.instance(**_args['source'])
-        else:
-            #
-            # This is the new interface
-            _args['source']['context'] = 'read'	
+        # if 'provider' not in _args['source'] :
+        #     #@deprecate
+        #     self.reader = transport.factory.instance(**_args['source'])
+        # else:
+        #     #
+        #     # This is the new interface
+        #     _args['source']['context'] = 'read'	
+            
+        #     self.reader = transport.instance(**_args['source'])
         
-            self.reader = transport.instance(**_args['source'])
         #
         # do we have an sql query provided or not ....
         # self.sql = _args['source']['sql'] if 'sql' in _args['source'] else None
-        self.cmd = _args['source']['cmd'] if 'cmd' in _args['source'] else None
-        self._oargs = _args['target'] #transport.factory.instance(**_args['target'])
+        # self.cmd = _args['source']['cmd'] if 'cmd' in _args['source'] else None
+        # self._oargs = _args['target'] #transport.factory.instance(**_args['target'])
+        self._source = dict(_args ['source'],**{'context':'write'})
+        self._target = dict(_args['target'],**{'context':'read','lock':True})
+
         self.JOB_COUNT =  _args['jobs']
         self.jobs = []
 		# self.logger = transport.factory.instance(**_args['logger'])
@@ -113,46 +117,57 @@ class ETL (Process):
             ETL.logger.info(**_args)
         
     def run(self):
-        if self.cmd :
-            idf = self.reader.read(**self.cmd)
-        else:
-            idf = self.reader.read() 
-        idf = pd.DataFrame(idf)		
-        # idf = idf.replace({np.nan: None}, inplace = True)
+        # if self.cmd :
+        #     idf = self.reader.read(**self.cmd)
+        # else:
+        #     idf = self.reader.read() 
+        # idf = pd.DataFrame(idf)		
+        # # idf = idf.replace({np.nan: None}, inplace = True)
 
-        idf.columns = [str(name).replace("b'",'').replace("'","").strip() for name in idf.columns.tolist()]
-        self.log(rows=idf.shape[0],cols=idf.shape[1],jobs=self.JOB_COUNT)
+        # idf.columns = [str(name).replace("b'",'').replace("'","").strip() for name in idf.columns.tolist()]
+        # self.log(rows=idf.shape[0],cols=idf.shape[1],jobs=self.JOB_COUNT)
 
         #
         # writing the data to a designated data source 
         #
         try:
-            
-            
-            self.log(module='write',action='partitioning',jobs=self.JOB_COUNT)
-            rows = np.array_split(np.arange(0,idf.shape[0]),self.JOB_COUNT)
-            
+            _log = {"name":self.name,"rows":{"input":0,"output":0}}
+            _reader = transport.factory.instance(**self._source)
+            if 'table' in self._source :
+                _df = _reader.read()
+            else:
+                _df = _reader.read(**self._source['cmd'])
+            _log['rows']['input'] = _df.shape[0]
             #
-            # @TODO: locks
-            for i in np.arange(self.JOB_COUNT) :
-                # _id = ' '.join([str(i),' table ',self.name])
-                indexes = rows[i]
-                segment = idf.loc[indexes,:].copy() #.to_dict(orient='records')
-                _name = "partition-"+str(i)
-                if segment.shape[0] == 0 :
-                    continue
-                
-                proc = Post(target = self._oargs,rows = segment,name=_name)
-                self.jobs.append(proc)
-                proc.start()
-                
-                self.log(module='write',action='working',segment=str(self.name),table=self.name,rows=segment.shape[0])
+            # Let's write the input data-frame to the target ...
+            _writer  = transport.factory.instance(**self._target)
+            _writer.write(_df)
+            _log['rows']['output'] = _df.shape[0]
+
+            # self.log(module='write',action='partitioning',jobs=self.JOB_COUNT)
+            # rows = np.array_split(np.arange(0,idf.shape[0]),self.JOB_COUNT)
+            
+            # #
+            # # @TODO: locks
+            # for i in np.arange(self.JOB_COUNT) :
+            #     # _id = ' '.join([str(i),' table ',self.name])
+            #     indexes = rows[i]
+            #     segment = idf.loc[indexes,:].copy() #.to_dict(orient='records')
+            #     _name = "partition-"+str(i)
+            #     if segment.shape[0] == 0 :
+            #         continue
+                
+            #     proc = Post(target = self._oargs,rows = segment,name=_name)
+            #     self.jobs.append(proc)
+            #     proc.start()
+                
+            #     self.log(module='write',action='working',segment=str(self.name),table=self.name,rows=segment.shape[0])
             # while self.jobs :
             # 	jobs = [job for job in proc if job.is_alive()]
             # 	time.sleep(1)
         except Exception as e:
             print (e)
-        
+        self.log(**_log)
     def is_done(self):
         self.jobs = [proc for proc in self.jobs if proc.is_alive()]
         return len(self.jobs) == 0