I hate GPT

nogui/main.py

@@ -1,12 +1,9 @@
 import getpass
 import modules.aisql as aisql
 
-#TODO: Clear screen after every option
-
-
 class Main:
     def __init__(self):
-        self.tableschema = None
+        self.tableschema = {}
         self.dbtype = 'postgresql'
         self.ip = 'localhost'
         self.port = '32768'
@@ -17,6 +14,7 @@ class Main:
         self.apikey = open('apikey', 'r').read().strip('\n')
 
     def config(self) -> object:
+        print('Configure the Database')
         print(f'Database type')
         print("postgresql - PostgreSQL")
         print("mysql - MySQL (WIP)")
@@ -27,6 +25,7 @@ class Main:
         self.username = input(f'Username (current: {self.username}): ') or self.username
         self.password = getpass.getpass(f'Password (current: {self.password}): ') or self.password
         self.database = input(f'Database (current: {self.database}): ') or self.database
+        print('___')
 
         if self.dbtype == 'postgresql':
             # TODO: Add more Database languages
@@ -42,15 +41,22 @@ class Main:
         print('4. Get Tables Schema')
         print('5. Exit')
         option = input('Option: ')
+        print('___')
         if option == '1':
             self.generate_sql()
         elif option == '2':
             query = input('Query: ')
             self.run_sql(query)
         elif option == '3':
-            self.db, self.tableschema = self.config()
+            self.db = self.config()
         elif option == '4':
-            print(self.db.get_schema())
+            if self.db is not None:
+                self.tableschema = self.db.get_schema()
+                print(self.tableschema)
+            else:
+                self.db = self.config()
+                self.tableschema = self.db.get_schema()
+                print(self.tableschema)
         elif option == '5':
             exit()
         else:
@@ -61,13 +67,18 @@ class Main:
         generate = True
         while generate:
             text = input('Text: ')
-            sql = ai.humantosql(text, self.db.get_schema())
+            print('___')
+            if self.db is None:
+                self.db = self.config()
+
+            sql = ai.humantosql(text, self.dbtype, self.db.get_schema())
             print(f'SQL:\n{sql}\n___')
             print('Would you like to run it?')
             print('1. Yes')
             print('2. No')
             print('3. Edit')
             choice = input('Choice: ')
+            print('___')
             if choice == '1':
                 self.run_sql(sql)
                 generate = False
@@ -80,39 +91,31 @@ class Main:
 
     def run_sql(self, query):
         if self.db is None:
-            print('You have to configure the database first')
+            self.db = self.config()
-            print('1. Configure')
+
-            print('2. Exit')
+        ai = aisql.AI(self.apikey)
-            choice = input('Choice: ')
+        function = ai.decide(query)
-            if choice == '1':
+        print(f'Using {function}')
-                self.db, self.tableschema = self.config()
+        try:
-                self.run_sql(query)
+            if "fetchall".casefold() in function.casefold():
-            elif choice == '2':
+                print(self.db.fetchall(query))
-                exit()
+            elif "fetchone".casefold() in function.casefold():
+                print(self.db.fetchone(query))
+            elif "fetchmany".casefold() in function.casefold():
+                size = function.split('=')[1].strip(']')
+                print(self.db.fetchmany(query, size))
+            elif "execute".casefold() in function.casefold():
+                self.db.execute(query)
+            elif "executemany".casefold() in function.casefold():
+                size = function.split('=')[1].strip(']')
+                self.db.executemany(query, size)
             else:
                 print('Invalid option')
-        elif self.db is not None:
+            print('___')
-            ai = aisql.AI(self.apikey)
+        except Exception as e:
-            function = ai.decide(query)
+            print('Something went wrong:')
-            print(f'Using {function}')
+            print(e)
-            try:
+            print('___')
-                if "fetchall".casefold() in function.casefold():
-                    self.db.fetchall(query)
-                elif "fetchone".casefold() in function.casefold():
-                    self.db.fetchone(query)
-                elif "fetchmany".casefold() in function.casefold():
-                    size = function.split('=')[1].strip(']')
-                    self.db.fetchmany(query, size)
-                elif "execute".casefold() in function.casefold():
-                    self.db.execute(query)
-                elif "executemany".casefold() in function.casefold():
-                    size = function.split('=')[1].strip(']')
-                    self.db.executemany(query, size)
-                else:
-                    print('Invalid option')
-            except Exception as e:
-                print('Something went wrong:')
-                print(e)
 
 if __name__ == '__main__':
     main = Main()

nogui/modules/aisql.py

@@ -7,8 +7,8 @@ class AI:
         openai.api_key = self.api_key
         self.convertlog = []
 
-    def humantosql(self, text: str, tableschema: list) -> str:
+    def humantosql(self, text: str, dbtype: str, tableschema: list) -> str:
-        self.convertlog = [{"role": "system", "content": f"You convert human language to SQL. You do not add any adidtional information. You are indirectly connected to a Database, so you can Query, Execute etc, just make the SQL statement. For better context you get the tables and columns from the database: {tableschema}"}]
+        self.convertlog = [{"role": "system", "content": f"You convert Human Language to SQL. Only answer as an SQL Statement as the output of you will be the direct input into the database. Always edit the old Statement and do not create a completly new one. You are using this Database: {dbtype} and for better context here are the tables and columns: {tableschema}"}]
         prompt = {"role": "user", "content": text}
         self.convertlog.append(prompt)
         response = openai.ChatCompletion.create(