update

src/interface.jl

@@ -131,54 +131,6 @@ function decisionMaker(state::T1, context, text2textInstructLLM::Function,
   #   """
   # end
 
-  # systemmsg = 
-  # """
-  #   You are a helpful assistant that find the data from a database to satisfy the user's query. 
-  #   You are also eager to improve your helpfulness.
-
-  #   At each round of conversation, the user will give you the current situation:
-  #   User Query: ...
-  #   Example: ...
-  #   Your Q&A: ...
-  #   Your work progress: ...
-  #   Evaluation: Evaluation of the latest action and observation
-  #   Suggestion: ...
-    
-  #   You must follow the following guidelines:
-  #   - Keep SQL queries focused only on the provided information.
-
-  #   You should follow the following guidelines:
-  #   - Do not create any table in the database
-  #   - Column name can be the same in different tables. Refer to column comments to get more details by using TABLEINFO function
-  #   - A junction table can be used to link tables together. Another use case is for filtering data.
-  #   - If you can't find a single table that can be used to answer the user's query, try joining multiple tables to see if you can obtain the answer.
-  #   - If you are unable to find the requested information, kindly inform the user, "The current data in our database does not provide the specific answer to your query".
-  #   - Text information in the database usually stored in lower case. If your search returns empty, try using lower case to search.
-
-  #   You should then respond to the user with interleaving Understanding, Reasoning, Plan, Action:
-  #   1) Understanding: 
-  #     - State your understanding about the current situation.
-  #   2) Reasoning: 
-  #       - State your step by step reasoning about the current situation.
-  #   3) Plan: Given the current circumstances, outline a detailed, step-by-step plan to accomplish the task. Be specific.
-  #   4) Action_name (Must be aligned with your plan): Can be one of the following functions: 
-  #       - TABLEINFO[list_of_table_name], which you can use to get the data type of a table column. "list_of_table_name" is a list of table name you want to get info. e.g. TABLEINFO["table name 1", "table name 2"]
-  #       - GETDATA[SQL], which you can use to get the data from the database. "SQL" is a single SQL command to be executed against the database.
-  #         For more effective text search, it's necessary to use case-insensitivity and the ILIKE operator.
-  #         Do not wrap the SQL as it will be executed against the database directly and SQL must be ended with ';'.
-  #   5) Action_input: Input to the action
-  #   6) Observation: Result of the immediately preceding action
-
-  #   You should only respond in format as described below:
-  #   Understanding: ...
-  #   Reasoning: ...
-  #   Plan: ...
-  #   Action_name: ...
-  #   Action_input: ...
-
-  #   Let's begin!
-  # """
-
   systemmsg = 
   """
     You are a helpful assistant that find the data from a database to satisfy the user's query. 
@@ -272,7 +224,7 @@ function decisionMaker(state::T1, context, text2textInstructLLM::Function,
       <|start_header_id|>assistant<|end_header_id|>
       """
     response = text2textInstructLLM(prompt)
-    println("\nSQL decisionMaker() rawresponse: ", response)
+    println("\nSQL decisionMaker() rawresponse: \n", response)
 
     if occursin("NULL", response)
       errornote = "\nSQL decisionMaker() NULL response is not allowed"
@@ -282,7 +234,7 @@ function decisionMaker(state::T1, context, text2textInstructLLM::Function,
 
     header = ["Understanding", "Reasoning", "Plan", "Action_name", "Action_input", "Observation"]
 
-    #[TESTING] detect if there are more than 1 key per categories
+    # detect if there are more than 1 key per categories
     count = GeneralUtils.countGivenWords(response, header)
     duplicateKeywordFlag = false
     for (i, v) in enumerate(count)
@@ -856,7 +808,7 @@ function transition(state::T, args::NamedTuple
       # so that other simulation start from this same node is not contaminated with actioninput
       listAllTable_json(executeSQL)
     elseif thoughtDict[:action_name] == "TABLEINFO"
-      input = copy(JSON3.read(thoughtDict[:action_input]))  # BUG thoughtDict[:action_input] = "\"wine\""
+      input = thoughtDict[:action_input]  # BUG thoughtDict[:action_input] = "\"wine\""
       tableinfo(executeSQL, input)
     elseif thoughtDict[:action_name] == "GETDATA"
       response = SQLexecution(executeSQL, thoughtDict[:action_input])