Lina Travel Agent

Lina.py

@@ -33,6 +33,9 @@
 import sklearn
 import string
 
+# ______Data Extraction_______
+import data_extraction
+
 # -----------------------------------$$ Global Variables $$-------------------------------------#
 delimeter = "_+^$#*#$^+_"
 dir = os.path.dirname(__file__)
@@ -489,9 +492,19 @@ def callBot(var, option):
                                                              tfidf_vectorizer_april_path_primary,
                                                              tfidf_matrix_train_april_path_primary)
 
+
+
     if (response_primary != "null"):
         return "message", (response_primary.capitalize().strip(), option, None)
 
+    #free the variables of parsing
+    data_extraction.tree_output_str =""
+    #data_extraction.tree_output =[]
+    respone_data_exctraction =  data_extraction.data_extraction( var )
+    if (respone_data_exctraction != ""):
+           return "message", (respone_data_exctraction.capitalize().strip(), option, None)
+
+
     result1 = extract_intents(var)
     result2 = getAnswer(crop_intents(var))
     response = ""
@@ -672,4 +685,5 @@ def get_relative_path(filename):
 #to test offline
 while 1:
     chat_sentance  = raw_input("Talk to Lina :")
-    callBot(chat_sentance , 13)
+    print callBot(chat_sentance , 0)
+    print

Lina.pyproj

@@ -22,6 +22,7 @@
     <EnableUnmanagedDebugging>false</EnableUnmanagedDebugging>
   </PropertyGroup>
   <ItemGroup>
+    <Compile Include="data_extraction.py" />
     <Compile Include="filter.py" />
     <Compile Include="Lina.py" />
     <Compile Include="stat_parser\eval_parser.py" />