update

src/llmfunction.jl

@@ -0,0 +1,955 @@
+module llmfunction
+
+export listAllTable_json, listAllTable_str, tableinfo, getdata, finalAnswerBox, 
+        getTableNameFromSQL, extractContent_dataframe, SQLexecution
+
+using HTTP, JSON3, URIs, Random, PrettyPrinting, UUIDs, LibPQ, Tables, DataFrames, CSV, 
+      DataStructures, StatsBase
+using GeneralUtils, LLMMCTS
+using ..util
+
+# ---------------------------------------------- 100 --------------------------------------------- #
+
+
+""" List all tables in the database and return in JSON format.
+
+# Arguments
+  - `executeSQL::Function`
+    A connection object to Postgres database
+    
+# Return
+  - `NamedTuple{(:result, :success), Tuple{DataFrame, Bool}}`
+
+# Example
+```jldoctest
+julia> using LibPQ, SQLLLM
+julia> function executeSQL(sql)
+          DBconnection = LibPQ.Connection("host=192.168.88.122 port=5432 dbname=xyz user=zyx password=1234")
+          result = LibPQ.execute(DBconnection, sql)
+          close(DBconnection)
+          return result
+        end
+julia> response = SQLLLM.listAllTable_json(executeSQL)
+julia> result = response[:result]
+```
+
+# Signature
+"""
+function listAllTable_json(executeSQL::Function
+  )::NamedTuple{(:result, :success), Tuple{DataFrame, Bool}}
+
+  sql = 
+  """
+  SELECT 
+      table_name,
+      obj_description(relfilenode, 'pg_class') AS table_comment,
+      string_agg(column_name || ' (' || data_type || ')', ', ') AS columns
+  FROM 
+      information_schema.columns
+  JOIN 
+      pg_class ON table_name = relname
+  WHERE 
+      table_schema = 'public'
+  GROUP BY 
+      table_name, relfilenode
+  ORDER BY 
+      table_name;
+  """
+
+  result = executeSQL(sql)
+  df = DataFrame(result)
+  tablesinfo_df = df
+
+  return (result=tablesinfo_df, success=true)
+end
+
+
+function listAllTable_str(executeSQL::Function
+  )::NamedTuple{(:result, :success), Tuple{String, Bool}}
+  sql = 
+  """
+  SELECT 
+      table_name,
+      obj_description(relfilenode, 'pg_class') AS table_comment,
+      string_agg(column_name || ' (' || data_type || ')', ', ') AS columns
+  FROM 
+      information_schema.columns
+  JOIN 
+      pg_class ON table_name = relname
+  WHERE 
+      table_schema = 'public'
+  GROUP BY 
+      table_name, relfilenode
+  ORDER BY 
+      table_name;
+  """
+  result = executeSQL(sql)
+  df = DataFrame(result)
+  tableinfo = "Here are a list of available tables in the database (each row is in this format: table name; table comment; table columns): \n"
+  for i in 1:size(df)[1]
+    table_name = df[i, 1]
+    table_comment = df[i, 2]
+    columns = df[i, 3]
+    tableinfo *= "$i. $table_name; $table_comment; $columns\n"
+  end
+  return (result=tableinfo, success=true)
+end
+
+
+""" Get table description, column comments and the first 3-rows of the table data
+
+# Arguments
+  - `executeSQL::Function`
+    A connection object to Postgres database
+    
+# Return
+  - `tableinfo::String`
+
+# Signature
+"""
+
+
+function tableinfo_str(executeSQL::Function, tablename::String)::NamedTuple{(:result, :success), Tuple{String, Bool}}
+  
+  sql = 
+  """
+  SELECT 
+    column_name, 
+    data_type, 
+    col_description(format('%s.%s', table_schema, table_name)::regclass::oid, ordinal_position) AS column_comment
+  FROM 
+    information_schema.columns
+  WHERE 
+    table_name = '$tablename'
+    AND table_schema = 'public';
+  """
+
+  result = executeSQL(sql)
+  df = DataFrame(result)
+
+  tableinfo = "Here are info of table $tablename (each row is in this format: column name; data type; column comment):\n"
+  for i in 1:size(df)[1]
+    column_name = df[i, 1]
+    column_datatype = df[i, 2]
+    column_comment = df[i, 3]
+    tableinfo *= "$i. $column_name; $column_datatype; $column_comment \n"
+  end
+
+  return (result=tableinfo, success=true)
+end
+
+
+""" Get table description, column comments.
+
+# Arguments
+  - `executeSQL::Function`
+    A connection object to Postgres database
+  - `tablenames<:AbstractVector`
+    A list of table name to get description
+    
+# Return
+  - `NamedTuple{(:result), Tuple{String}}`
+    Text contain multiple table info 
+
+# Example
+```jldoctest
+julia> using SQLLLM, LibPQ
+julia> function executeSQL(sql)
+          DBconnection = LibPQ.Connection("host=192.168.88.122 port=5432 dbname=xyz user=zyx password=1234")
+          result = LibPQ.execute(DBconnection, sql)
+          close(DBconnection)
+          return result
+        end
+julia> response = SQLLLM.tableinfo(executeSQL, ["wine", "food"])
+julia> result = response[:result]
+```
+
+# Signature
+"""
+function tableinfo(executeSQL::Function, tablenames::T
+  )::NamedTuple{(:result,), Tuple{String}} where {T<:AbstractVector}
+  # list all tables in a database
+  sql = 
+  """
+  SELECT pg_namespace.nspname AS schema_name,
+        relname AS table_name,
+        pg_catalog.obj_description(pg_class.oid) AS comment
+  FROM pg_class
+  INNER JOIN pg_namespace ON pg_namespace.oid = pg_class.relnamespace
+  WHERE pg_namespace.nspname = 'public' -- Replace 'public' with your desired schema
+    AND pg_class.relkind IN ('r', 't');
+  """
+
+  _result = executeSQL(sql)
+  df = DataFrame(_result)
+  alltable_df = df[:, [:table_name, :comment]]
+  tableNameList = alltable_df.table_name |> collect
+
+  # check if the requested table name exist in the database
+  notExistingTable = []
+  for i in tablenames
+    if i ∉ tableNameList
+      push!(notExistingTable, i)
+    end
+  end
+  if !isempty(notExistingTable)
+    result = 
+    "Error, the following tables does not exist in the database: $(JSON3.write(notExistingTable))"
+    return (result=result,)
+  end
+
+  tableInfoStr = ""
+  for i in tablenames
+    x, _ = tableinfo_str(executeSQL, i)
+    tableInfoStr *= x
+  end
+
+  return (result=tableInfoStr,)
+end
+
+
+
+
+""" Convert a query process in English into SQL, execute and get the result from the database.
+
+# Arguments
+  - `query<:AbstractString`
+    A query to a database in SQL.
+  - `context::Union{Dict, Nothing}`
+    A context to be available at transition()
+  - `executeSQL::Function`
+    A connection object connected to the database
+  - `text2textInstructLLM::Function`
+    A function that handles communication to LLM service.
+    
+# Return
+  - `NamedTuple{(:result, :errormsg, success), Tuple{String, String, Bool}}`
+
+# Signature
+"""
+function getdata(query::T, context::Union{Dict, Nothing}, executeSQL::Function,
+  text2textInstructLLM::Function;
+  )::NamedTuple{(:result, :errormsg, :success), Tuple{String, Union{String, Nothing}, Bool}} where {T<:AbstractString}
+
+  # get table info here because it'll be called only 1-time. If this function is in 
+  # getdata_decisionMaker(), it'll be called everytime
+  mentionedtable = getTableNameFromSQL(query, text2textInstructLLM)
+  mentionedTableInfo = tableinfo(executeSQL, mentionedtable)[:result]
+  context[:mentionedTableInfo] = mentionedTableInfo
+
+  initialstate = Dict{Symbol, Any}(
+    :reward=> 0,
+    :isterminal=> false,
+    :evaluation=> nothing,
+    :errormsg=> nothing,
+    :errorexplain=> nothing,
+
+    :question=> query,
+    :code=> nothing,
+    :response=> nothing,
+    )
+  
+  transitionargs = (
+                    # decisionMaker=getdata_decisionMaker, 
+                    # evaluator=getdata_evaluator, 
+                    # reflector=getdata_reflector,
+                    context=context,
+                    executeSQL=executeSQL, 
+                    text2textInstructLLM=text2textInstructLLM
+                  )
+  result_1, result_2 = LLMMCTS.runMCTS(initialstate, getdata_transition, transitionargs;
+                          totalsample=1, maxdepth=3, maxiterations=1, explorationweight=1.0)
+
+  if result_2[:isterminal] == true
+    return (result=result_2[:response], errormsg=nothing, success=true) # succues=true to finish getdata()
+  else
+    # return (response="Failed to act with the following error message: $(result_2[:errorexplain])", select=nothing, reward=0, success=false)
+    return (result="Failed to get the data. $(result_1[:errormsg])", 
+          errormsg=result_1[:errormsg], success=false)
+  end
+end
+
+
+"""
+
+# Arguments
+  `v::Integer`
+    dummy variable
+    
+# Return
+
+# Example
+```jldoctest
+julia> 
+```
+
+# TODO
+  - [] update docstring
+  - [PENDING] implement the function
+
+# Signature
+"""
+function getdata_evaluator(newstate, config)
+  
+  return (evaluation="None", score=0)
+end
+
+
+""" State transition
+
+# Arguments
+  - `state<:AbstractDict`
+    A game state
+  - `args::NamedTuple`
+    Arguments for various function within transition()
+    
+# Return
+  - `NamedTuple{(:newNodeKey, :newstate, :progressvalue), Tuple{String, T, Integer}}`
+
+# Signature
+"""
+function getdata_transition(state::T, args::NamedTuple
+  )::NamedTuple{(:newNodeKey, :newstate, :progressvalue), Tuple{String, T, Integer}} where {T<:AbstractDict}
+
+  
+  # decisionMaker::Function = args[:decisionMaker]
+  # evaluator::Function = args[:evaluator]
+  # reflector::Function = args[:reflector]
+  context = args[:context]
+  executeSQL::Function = args[:executeSQL]
+  text2textInstructLLM::Function = args[:text2textInstructLLM]
+
+  thought, sql =
+  if state[:code] !== nothing
+    result = getdata_decisionMaker(state, context, text2textInstructLLM)
+    result[:thought], result[:code]
+  else
+    nothing, state[:question]
+  end
+
+  # make new state
+  newNodeKey = GeneralUtils.uuid4snakecase()
+  newstate = deepcopy(state)
+  
+  response, success, errormsg, reward, isterminal =
+    if sql !== nothing
+      response, success, errormsg, reward, isterminal = SQLexecution(executeSQL, sql)
+    else
+      (result= nothing, 
+      success= false, 
+      errormsg= "SQL execution failed. An unexpected error occurred. Please try again.", 
+      reward=0, 
+      isterminal=false)
+    end
+
+  newstate[:code] = sql
+  newstate[:response] = response
+  newstate[:errorexplain] = thought
+  newstate[:errormsg] = errormsg
+  newstate[:reward] = reward
+  newstate[:isterminal] = isterminal
+  if response !== nothing
+    extracted = extractContent_dataframe(response, context, text2textInstructLLM)
+    newstate[:response] = extracted
+  end
+  
+  stateevaluation = "None"
+  progressvalue = 0
+
+  return (newNodeKey=newNodeKey, newstate=newstate, progressvalue=progressvalue)
+end
+
+
+""" Make a decision using LLM
+
+# Arguments
+  - `state::Dict`
+    A game state
+  - `context::Dict`
+    Additional context for LLM to use
+  - `text2textInstructLLM::Function`
+    A function to handles communication to LLM
+    
+# Return
+  - `NamedTuple{(:thought, :code, :success, :errormsg), Tuple{String, String, Bool, Union{String, Nothing}}}`
+
+# Signature
+"""
+function getdata_decisionMaker(state::Dict, context::Dict, text2textInstructLLM::Function
+  )::NamedTuple{(:thought, :code, :success, :errormsg), Tuple{Union{String, Nothing}, Union{String, Nothing}, Bool, Union{String, Nothing}}}
+
+  Hints = "None"
+  
+  # """
+  # Here are some useful SQL programs:
+  # $usefulSQL
+  # """
+
+  # systemmsg = 
+  # """
+  # You are an assistant helping the user to execute SQL code from the user's query.
+
+  # At each round of conversation, the user will give you:
+  # Context: ...
+  # User intention: ...
+  # Code executed from the last round: ...
+  # Execution error: execution error of the last round code.
+
+  # You should consider the following guidelines:
+  # - Text information in the database is sometimes stored in lower case. If your search returns empty, try using lower case to search.
+
+  # You should then respond to the user with:
+  # - thought: Why the code does not complete the task. What does the execution error imply exactly?
+  # - plan: Step-by-step instructions of how to complete the task.
+  #     1) Focus on improving the code from the last round.
+  #     2) Do not create any table in the database.
+  # - code:
+  #     1) Write new improved code.
+  #     2) Do not wrap the code and no comment as it will be executed directly without any modification against the database.
+
+  # You should only respond in format as described below and nothing more:
+  # thought: ...
+  # plan: 
+  #   1) ...
+  #   2) ... 
+  #   ...
+  # code: ...
+  
+  # Let's begin!
+  # """
+
+  systemmsg = 
+  """
+  You are an assistant helping the user to execute SQL code from the user's query.
+
+  At each round of conversation, the user will give you:
+  Context: ...
+  User intention: ...
+  Code executed from the last round: ...
+  Execution error: execution error of the last round code.
+
+  You should consider the following guidelines:
+  - Text information in the database is sometimes stored in lower case. If your search returns empty, try using lower case to search.
+
+  You should then respond to the user with:
+  1) Understanding: 
+        - State your understanding about the current situation.
+  2) Reasoning: 
+      - State your step by step reasoning about the current situation.
+  3) Plan: Step-by-step instructions of how to complete the task.
+      - Focus on improving the code from the last round.
+      - Do not create any table in the database.
+  4) Code:
+      - Write new improved code.
+      - Do not wrap the code and no comment as it will be executed directly without any modification against the database.
+
+  You should only respond in format as described below and nothing more:
+  Understanding: ...
+  Reasoning: ...
+  Plan: 
+    1) ...
+    2) ... 
+    ...
+  Code: ...
+  
+  Let's begin!
+  """
+
+  note_flag = ""
+  for attempt in 1:10
+    usermsg =
+    """
+    Context: 
+    $(context[:mentionedTableInfo])
+    User intention: $(context[:userintention])
+    Code executed from the last round: $(state[:code])
+    Execution error: $(state[:errormsg])
+    $note_flag
+    """
+    
+    _prompt = 
+    [
+      Dict(:name=> "system", :text=> systemmsg),
+      Dict(:name=> "user", :text=> usermsg)
+    ]
+
+    # put in model format
+    prompt = GeneralUtils.formatLLMtext(_prompt; formatname="llama3instruct")
+    prompt *=
+      """
+      <|start_header_id|>assistant<|end_header_id|>
+      """
+    try
+      response = text2textInstructLLM(prompt)
+      responsedict = GeneralUtils.textToDict(response,
+                        ["Understanding", "Reasoning", "Plan", "Code"]; 
+                        rightmarker=":", symbolkey=true, lowercasekey=true)
+      _code = responsedict[:code]
+      code = strip(_code)
+
+      if length(code) < 2
+        error("No code available.")
+      elseif code == state[:code]
+        error("generated code is the same as earlier.")
+      else
+      end
+
+      # check code
+      if occursin("CREATE TABLE", code)
+        note_flag = "Note: Create new table is not allowed."
+        error("create table is not allowed")
+      elseif occursin("```", code)
+        error("Note: code contains backtick ` which is not allowed")
+      elseif code[end] != ';'
+        error("SQL does not ending with ';'")
+      elseif count(';', code) > 1
+        error("Multiple SQL statement are not allowed")
+      else
+      end
+
+      println("--> getdata_decisionMaker() ", @__FILE__, " ", @__LINE__)
+      pprintln(Dict(responsedict))
+      return (thought=responsedict[:reasoning], code=code, success=true, errormsg=nothing)
+    catch e
+      io = IOBuffer()
+      showerror(io, e)
+      errorMsg = String(take!(io))
+      st = sprint((io, v) -> show(io, "text/plain", v), stacktrace(catch_backtrace()))
+      print("Attempt $attempt. Error occurred: $errorMsg\n$st")
+      println("")
+    end
+  end
+  return (thought=nothing, code=nothing, success=false,
+          errormsg="Failed to generate SQL after numerous attempts.")
+end
+
+""" Execute a given SQL.
+
+# Arguments
+  - `sql::T<:AbstractString`
+    A SQL command
+  - `executeSQL::Function`
+    A connection object to a database
+    
+# Return
+  - `NamedTuple{(:result, :errormsg, :reward, :isterminal), Tuple{Union{Nothing, DataFrame}, String, Integer, Bool}}`
+
+# Example
+```jldoctest
+julia> using LibPQ, SQLLLM
+julia> function executeSQL(sql)
+          DBconnection = LibPQ.Connection("host=192.168.88.122 port=5432 dbname=xyz user=zyx password=1234")
+          result = LibPQ.execute(DBconnection, sql)
+          close(DBconnection)
+          return result
+        end
+julia> response = SQLLLM.SQLexecution(executeSQL, sql)
+```
+
+# Signature
+"""
+# function SQLexecution(executeSQL::Function, sql::T
+#   )::NamedTuple{(:result, :success, :errormsg, :reward, :isterminal), Tuple{Union{DataFrame, Nothing}, Bool, Union{String, Nothing}, Integer, Bool}} where {T<:AbstractString}
+#   println("--> 1-01 ", @__FILE__, " ", @__LINE__) 
+#   #XXX dummy SQL. use for testing
+#   # sql = "SELECT w.wine_name FROM wine w JOIN wine_food wf ON w.wine_id = wf.wine_id JOIN food f ON wf.food_id = f.food_id WHERE f.\"food_name\" = 'lamb';"
+#   # sql = " SELECT      w.wine_name FROM      wine w JOIN      food f ON f.food_name = 'lamb' JOIN      wine_food wf ON w.wine_id = wf.wine_id AND f.food_id = wf.food_id GROUP BY      w.wine_name ORDER BY      COUNT(DISTINCT w.wine_id) DESC;"
+#   # sql = " SELECT COUNT(DISTINCT wf.wine_id) FROM wine w JOIN wine_food wf ON w.wine_id = wf.wine_id JOIN food f ON wf.food_id = f.food_id WHERE f.food_name ILIKE '%lamb%'"
+
+#   #XXX use for package testing, remove when done
+#   # ans = "1.schilfwein zweigelt 2.cabernet sauvignon reserve limited edition"
+#   # ans = "There are 1500 wines that can be paired with lamb."
+#   # ans = "1500"
+#   # return (response=ans, errormsg=nothing, reward=1, isterminal=true)
+
+#   # add LIMIT to the SQL to prevent loading large data
+#   sql = strip(sql)
+#   println("--> SQL 1", @__FILE__, " ", @__LINE__)
+#   println(sql)
+#   println("--> 1-02 ", @__FILE__, " ", @__LINE__) 
+
+#   if sql[end] != ';'
+#     errorMsg = "Error, SQL execution failed because it does not ended with ';'"
+#     return (result=nothing, success=false, errormsg=errorMsg, reward=0, isterminal=false)
+#   end
+#   println("--> 1-03 ", @__FILE__, " ", @__LINE__) 
+#   if !occursin("LIMIT", sql)
+#     # sql = sql[1:end-1] * " LIMIT 100;"
+#     sql = sql[1:end-1] * " ORDER BY RANDOM() LIMIT 2;"
+#   end
+
+#   println("--> SQL 2", @__FILE__, " ", @__LINE__)
+#   println(sql)
+#   println("--> 1-1 ", @__FILE__, " ", @__LINE__) 
+#   result = executeSQL(sql)
+#   println("--> 1-2 ", @__FILE__, " ", @__LINE__) 
+#   df = DataFrame(result)
+#   println("--> raw df ", df)
+#   tablesize = size(df)
+#   println("--> df size ", tablesize)
+#   println("--> 6 ", @__FILE__, " ", @__LINE__) 
+#   row = tablesize[1]
+#   println("--> 7 ", @__FILE__, " ", @__LINE__) 
+#   if row == 0  # if 0 row
+#     errorMsg = "The resulting table has 0 row. Possible causes: 1) SQL is incorrect 2) There is no data that match your search criteria."
+#     return (result=nothing, success=false, errormsg=errorMsg, reward=0, isterminal=false)
+#   end
+#   println("--> 8 ", @__FILE__, " ", @__LINE__) 
+#   df1 =   
+#     if row > 2
+#       # ramdom row to pick
+#       df[sample(1:nrow(df), 2, replace=false), :] # random select 2 rows from df
+#     else
+#       df
+#     end
+
+#   println("--> SQLexecution result ", @__FILE__, " ", @__LINE__)   
+#   println(df1)
+#   return (result=df1, success=true, errormsg=nothing, reward=1, isterminal=true)
+# end
+function SQLexecution(executeSQL::Function, sql::T
+  )::NamedTuple{(:result, :success, :errormsg, :reward, :isterminal), Tuple{Union{DataFrame, Nothing}, Bool, Union{String, Nothing}, Integer, Bool}} where {T<:AbstractString}
+  
+  try
+    #XXX dummy SQL. use for testing
+    # sql = "SELECT w.wine_name FROM wine w JOIN wine_food wf ON w.wine_id = wf.wine_id JOIN food f ON wf.food_id = f.food_id WHERE f.\"food_name\" = 'lamb';"
+    # sql = " SELECT      w.wine_name FROM      wine w JOIN      food f ON f.food_name = 'lamb' JOIN      wine_food wf ON w.wine_id = wf.wine_id AND f.food_id = wf.food_id GROUP BY      w.wine_name ORDER BY      COUNT(DISTINCT w.wine_id) DESC;"
+    # sql = " SELECT COUNT(DISTINCT wf.wine_id) FROM wine w JOIN wine_food wf ON w.wine_id = wf.wine_id JOIN food f ON wf.food_id = f.food_id WHERE f.food_name ILIKE '%lamb%'"
+
+    #XXX use for package testing, remove when done
+    # ans = "1.schilfwein zweigelt 2.cabernet sauvignon reserve limited edition"
+    # ans = "There are 1500 wines that can be paired with lamb."
+    # ans = "1500"
+    # return (response=ans, errormsg=nothing, reward=1, isterminal=true)
+
+    # add LIMIT to the SQL to prevent loading large data
+    sql = strip(sql)
+    if sql[end] == ';'
+      if !occursin("LIMIT", sql)
+        # sql = sql[1:end-1] * " LIMIT 100;"
+        sql = sql[1:end-1] * " ORDER BY RANDOM() LIMIT 2;"
+      end
+    else
+      error("Error, SQL execution failed because it does not ended with ';'")
+    end
+    println("--> SQL ", @__FILE__, " ", @__LINE__)
+    println(sql)
+
+    result = executeSQL(sql)
+    df = DataFrame(result)
+
+    tablesize = size(df)
+    row, column = tablesize
+    if row == 0  # if 0 row
+      error("The resulting table has 0 row. Possible causes: 1) You might be searching in the wrong place 2) There could be a typo in your search query 3) No data matches your search criteria.")
+    elseif column > 30
+      error("SQL execution failed. An unexpected error occurred. Please try again.")
+    end
+
+    df1 =   
+    if row > 2
+      # ramdom row to pick
+      df[sample(1:nrow(df), 2, replace=false), :] # random select 2 rows from df
+    else
+      df
+    end
+
+    println("--> SQLexecution() ", @__FILE__, " ", @__LINE__)   
+    println(df1)
+    return (result=df1, success=true, errormsg=nothing, reward=1, isterminal=true)
+  catch e
+    io = IOBuffer()
+    showerror(io, e)
+    errorMsg = String(take!(io))
+    st = sprint((io, v) -> show(io, "text/plain", v), stacktrace(catch_backtrace()))
+    println(errorMsg)
+    return (result=nothing, success=false, errormsg=errorMsg, reward=0, isterminal=false)
+  end
+end
+
+
+""" Extract content from a dataframe with LLM.
+
+# Arguments
+  - `df::DataFrame`
+    A dataframe to be read.
+  - `context::Dict`
+    A dictionary to give LLM more context
+  - `text2textInstructLLM::Function`
+    A function that handles communication to LLM service
+    
+# Return
+  - `result::String`
+
+# Signature
+"""
+function extractContent_dataframe(df::DataFrame, context::Dict, text2textInstructLLM::Function
+  )::String
+
+  tablesize = size(df)
+  row = tablesize[1]
+  column = tablesize[2]
+
+  #[PENDING] Since selected column  depend on the question, there should be a better way to select column on the fly, not hard coded like this.
+  df1 =
+  if column > 10  # assuming if columns > 10, agent is getting wine info but the info is too much
+    selectedcolumn = ["wine_id",
+                      "wine_name",
+                      "brand",
+                      "manufacturer",
+                      "region",
+                      "country",
+                      "wine_type",
+                      "grape_variety",
+                      "serving_temperature",
+                      "intensity",
+                      "sweetness",
+                      "tannin",
+                      "acidity",
+                      "fizziness",
+                      "tasting_notes"]
+    df1 = df[:, selectedcolumn]
+  else
+    df
+  end
+
+  dfstr = dfToString(df1)
+  # println("--> df string")   
+  # println(dfstr)
+
+  systemmsg = 
+  """
+  You are an assistant that readouts the resulting table after the user executing SQL command.
+
+  At each round of conversation, the user will give you:
+  - User intention: ...
+  - Resulting table dimension: ...
+  - Resulting table: The resulting table after executing the user's intention.
+
+  You should then respond to the user with:
+  - About_resulting_table:
+      1) What is the resulting table represent?
+  - Search_summary:
+      1) Summarize the table's content based on the user intension in verbal English.
+        Here are some example:
+        Bad example (you are not Summarize the table content): there are 2 columns in the table i.e. "cash" and "number".
+      2) Do not generate additional text.
+
+  You should only respond in format as described below:
+  About_resulting_table: ...
+  Search_summary: ...
+  
+  Let's begin!
+  """
+
+  usermsg =
+    """
+    User intention: $(context[:userintention])
+    Resulting table: $dfstr
+    """
+  
+  _prompt = 
+  [
+    Dict(:name=> "system", :text=> systemmsg),
+    Dict(:name=> "user", :text=> usermsg)
+  ]
+
+  # put in model format
+  prompt = GeneralUtils.formatLLMtext(_prompt; formatname="llama3instruct")
+  prompt *=
+    """
+    <|start_header_id|>assistant<|end_header_id|>
+    """
+
+  for i in 1:5
+    response = text2textInstructLLM(prompt)
+    responsedict = GeneralUtils.textToDict(response, ["About_resulting_table", "Search_summary"], 
+                      rightmarker=":", symbolkey=true)
+
+    # result = dfstr
+    result = 
+      """
+      Summary: $(responsedict[:Search_summary]) 
+      More details: $dfstr
+      """
+
+    if row > 2
+      result *= "There are many more rows, but they are truncated because there are too many of them."
+    end
+
+    println("--> extractContent_dataframe() ", @__FILE__, " ", @__LINE__)   
+    println(result)
+
+    return result
+  end
+  error("Failed to get Code part.")
+end
+
+
+""" Extract a database's table name that mentioned in SQL
+
+# Arguments
+  - `sql<:AbstractString`
+    SQL command
+  - `text2textInstructLLM::Function`
+    A function that handles communication to LLM service
+    
+# Return
+  - `tablename::Vector{String}`
+    A list of table name
+
+# Example
+```jldoctest
+julia> using SQLLLM, UUIDs, GeneralUtils
+julia> sql = "Get all rows from the \"food\" table where the description contains the word \"lamb\". Then, join this result with the \"wine_food\" table on the \"food_id\" column to get a list of wines that can be paired with lamb. Finally, group the result by the \"wine_id\" column and count the number of unique wines."
+julia> function text2textInstructLLM(prompt::String)
+    config = Dict(
+      :mqttServerInfo => Dict(
+        :description => "mqtt server info", 
+        :port => 1883, 
+        :broker => "mqtt.yiem.cc"
+      ),
+      :externalservice => Dict(
+        :text2textinstruct => Dict(
+          :mqtttopic => "/loadbalancer/requestingservice", 
+          :description => "text to text service with instruct LLM", 
+          :llminfo => Dict(:name => "llama3instruct")
+        ),
+      )
+    )
+
+    # apply LLM specific instruct format
+    externalService = config[:externalservice][:text2textinstruct]
+
+    msgMeta = GeneralUtils.generate_msgMeta(
+      externalService[:mqtttopic],
+      senderName= "SQLLLM",
+      senderId= string(uuid4()),
+      receiverName= "text2textinstruct",
+      mqttBroker= config[:mqttServerInfo][:broker],
+      mqttBrokerPort= config[:mqttServerInfo][:port],
+    )
+
+    outgoingMsg = Dict(
+      :msgMeta=> msgMeta,
+      :payload=> Dict(
+        :text=> prompt,
+        :kwargs=> Dict(
+          :max_tokens=> 512,
+          :stop=> ["<|eot_id|>"],
+          :temperature=> 0.2,
+          )
+        )
+      )
+
+    _response = GeneralUtils.sendReceiveMqttMsg(outgoingMsg)
+    response = _response[:response][:text]
+
+    return response
+  end
+julia> result = SQLLLM.getTableNameFromSQL(sql, text2textInstructLLM)
+```
+
+# Signature
+"""
+function getTableNameFromSQL(sql::T, text2textInstructLLM::Function)::Vector{String} where {T<:AbstractString}
+  systemmsg = 
+  """
+  Extract table name out of the user query.
+
+  At each round of conversation, the user will give you:
+  Query: ...
+
+  You should then respond to the user with:
+  - table_name: a list of table name that the user mentioned in the query. 
+      For example, ["color", "type"]
+
+  You must only respond in format as described below:
+  table_name: ["...", "...", ...]
+  
+  Let's begin!
+  """
+
+  usermsg =
+  """
+  Query: $sql
+  """
+  
+  _prompt = 
+  [
+    Dict(:name=> "system", :text=> systemmsg),
+    Dict(:name=> "user", :text=> usermsg)
+  ]
+
+  # put in model format
+  prompt = GeneralUtils.formatLLMtext(_prompt; formatname="llama3instruct")
+  prompt *=
+    """
+    <|start_header_id|>assistant<|end_header_id|>
+    """
+
+  for attempt in 1:5
+    try
+      response = text2textInstructLLM(prompt)
+      responsedict = GeneralUtils.textToDict(response,
+                        ["table_name"], 
+                        rightmarker=":", symbolkey=true)
+      response = copy(JSON3.read(responsedict[:table_name]))
+
+      return response
+    catch e
+      io = IOBuffer()
+      showerror(io, e)
+      errorMsg = String(take!(io))
+      st = sprint((io, v) -> show(io, "text/plain", v), stacktrace(catch_backtrace()))
+      println("")
+      println("Attempt $attempt. Error occurred: $errorMsg\n$st")
+      println("")
+    end
+  end
+  error("getTableNameFromSQL failed to generate a thought")
+end
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+end # module llmfunction