healthcareio/__main__.py

@@ -143,6 +143,8 @@ def parse (claim_folder:str,plugin_folder:str = None,config_path:str = None):
     #     pass
     # else:
     #     pass
+    print ()
+    print ("                        PARSED                           ")
     print ("...................... FINISHED .........................")
     #
     #
@@ -188,7 +190,6 @@ def publish (file_type:str,path:str):
         _type = 'remits'
         _x12 = '835'
     if _type :
-        print ([f"Exporting {_type}"])
         _store = {'source':os.sep.join([CONFIG_FOLDER,'config.json']),'target':path}
         for _key in _store :
             f = open(_store[_key])
@@ -200,6 +201,10 @@ def publish (file_type:str,path:str):
         x12.publish.init(plugins=_plugins,x12=_x12,store=_store)
     else:
         print ("Can not determine type, (837 or 835)")
+
+    print ()
+    print ("                        EXPORT                           ")
+    print ("...................... FINISHED .........................")
     
         
 if __name__ == '__main__' :

healthcareio/x12/publish.py

@@ -6,7 +6,7 @@ import time
 import pandas as pd
 from multiprocessing import Process
 import json
-
+from healthcareio.logger import X12Logger
 def build (**_args):
     """
     This function will build SQL statements to create a table (perhaps not needed)
@@ -111,25 +111,40 @@ def init(**_args):
     _plugins = _args['plugins']
     _store = _args['store']
     _default = build(plugins=_plugins,x12=_file_type)
-    
+    _logger = X12Logger(store = _store['source'])
+
     _df = read(store = _store['source'],x12=_file_type)
+    #
+    # @LOG :
+    if _logger :
+        _logger.log(module='init',action='export-init',data={'rows':_df.shape[0],'attributes':list(_df.columns)})
+
     _pkey = util.getPrimaryKey(plugins = _plugins, x12=_file_type)
     SEGMENTS = 4    # arbitrary choice
     _indexes = np.array_split(np.arange(_df.shape[0]),SEGMENTS)
     jobs = []
+    _tables  = {}
     for _ii in _indexes :
         try:
             _data = format(rows= _df.iloc[_ii].to_dict(orient='records'),x12=_file_type,primary_key=_pkey)            
             _thread = Process(target=post,args=({'store':_store['target'],'data':_data,'default':_default,'x12':_file_type},))
+            _thread.start()
             jobs.append(_thread)
+            _tables = list(_data.keys())
         except Exception as e:
             #
             # Log: sigment, 
             print (e)
             pass
+        
+    #
+    # @LOG :
+    if _logger :
+        _logger.log(module='init',action='export-wait',data={'jobs':len(jobs),'tables':_tables})
+
     if jobs :
-        jobs[0].start()
+        # jobs[0].start()
-        jobs[0].join()
+        # jobs[0].join()
         while jobs :
             jobs = [thread for thread in jobs if thread.is_alive()]
             time.sleep(1)
@@ -160,6 +175,7 @@ def post(_args):
         _tablename = _prefix+_name
         _store['table'] = _tablename if _name not in ['remits','claims'] else _name
         _store['context']='write'
+        _store['lock'] = True
         writer = transport.factory.instance(**_store)
         if len(_data[_name]) == 0 and _name in _default and not writer.has(table=_tablename):
            _rows = [_default[_name]]