using async job to calculate predicted age records and store in db

rowers/dataprepnodjango.py

@@ -582,7 +582,53 @@ def deletecpdata_sql(rower_id,table='cpdata',debug=False):
     conn.close()
     engine.dispose()
 
+def delete_agegroup_db(age,sex,weightcategory,debug=False):
+    if debug:
+        engine = create_engine(database_url_debug, echo=False)
+    else:
+        engine = create_engine(database_url, echo=False)
+
+    query = sa.text('DELETE from {table} WHERE age={age} and weightcategory = {weightcategory} and sex={sex};'.format(
+        sex=sex,
+        age=age,
+        weightcategory=weightcategory,
+        table='calcagegrouprecords'
+        ))
+    with engine.connect() as conn, conn.begin():
+        try:
+            result = conn.execute(query)
+        except:
+            print "Database locked"
+    conn.close()
+    engine.dispose()
     
+def update_agegroup_db(age,sex,weightcategory,wcdurations,wcpower,
+                       debug=False):
+                    
+    delete_agegroup_db(age,sex,weightcategory,debug=debug)
+
+    df = pd.DataFrame(
+        {
+            'duration':wcdurations,
+            'power':wcpower,
+         }
+    )
+
+    df['sex'] = sex
+    df['age'] = age
+    df['weightcategory'] = weightcategory
+
+    if debug:
+        engine = create_engine(database_url_debug, echo=False)
+    else:
+        engine = create_engine(database_url, echo=False)
+
+    table = 'calcagegrouprecords'
+    with engine.connect() as conn, conn.begin():
+        df.to_sql(table, engine, if_exists='append', index=False)
+    conn.close()
+    engine.dispose()
+
     
 def updatecpdata_sql(rower_id,delta,cp,table='cpdata',distance=pd.Series([]),debug=False):
     deletecpdata_sql(rower_id,table=table,debug=debug)