update
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@@ -823,7 +823,7 @@ function transition(state::T, args::NamedTuple
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# so that other simulation start from this same node is not contaminated with actioninput
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listAllTable_json(executeSQL)
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elseif thoughtDict[:action_name] == "TABLEINFO"
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input = thoughtDict[:action_input] # BUG thoughtDict[:action_input] = "\"wine\""
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input = thoughtDict[:action_input]
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tableinfo(executeSQL, input)
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elseif thoughtDict[:action_name] == "GETDATA"
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response = SQLexecution(executeSQL, thoughtDict[:action_input])
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@@ -978,11 +978,13 @@ function query(query::T, executeSQL::Function, text2textInstructLLM::Function;
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earlystop(state) = state[:reward] >= 8 ? true : false
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_, resultState = LLMMCTS.runMCTS(initialstate, transition, transitionargs;
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_, _, resultState = LLMMCTS.runMCTS(initialstate, transition, transitionargs;
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horizontalSampleExpansionPhase=2,
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horizontalSampleSimulationPhase=1,
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maxdepth=3, maxiterations=2, explorationweight=1.0,
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earlystop=earlystop)
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maxSimulationDepth=3, maxiterations=2,
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explorationweight=1.0,
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earlystop=earlystop,
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saveSimulatedNode=true)
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latestKey, latestInd = GeneralUtils.findHighestIndexKey(resultState[:thoughtHistory], "observation")
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action_input = Symbol("action_input_$latestInd") # latest sql
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sql = resultState[:thoughtHistory][action_input]
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@@ -3,7 +3,7 @@ using LibPQ, Dates, JSON3, PrettyPrinting, UUIDs, DataFrames, DataStructures, Ba
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using GeneralUtils, SQLLLM
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config = copy(JSON3.read("/appfolder/mountvolume/config.json"))
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config = copy(JSON3.read("/appfolder/mountvolume/appdata/config.json"))
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function executeSQL(sql::T) where {T<:AbstractString}
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host = config[:externalservice][:wineDB][:host]
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@@ -148,9 +148,9 @@ sessionId = "555"
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# query = Dict(:text=> "How many wines from France do you have that can be paired with lamb?")
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# query = "How many wines are from United States?"
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# query = "retailer: Yiem, wine_type: red, sweetness: 1-2, intensity: 4-5, wine price: 20-40"
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query = "wine_type: white, country: United States, sweetness: 1-2, tannin: 3, food to be served with wine: pizza"
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# query = "wine_type: white, country: United States, sweetness: 1-2, tannin: 3, food to be served with wine: pizza"
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# query = "wine_type: white, country: Austria, food to be served with wine: pork"
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# query = "wine price: less than 25, wine_type: rose, country: France, sweetness: 2, tannin: 3, food to be served with wine: pizza"
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query = "wine price: less than 25, wine_type: rose, country: France, sweetness: 2, tannin: 3, food to be served with wine: pizza"
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# query = Dict(:text=> "wine_type: white, country: France, sweetness: 1")
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result = SQLLLM.query(query, executeSQL, text2textInstructLLM;
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insertSQLVectorDB=insertSQLVectorDB,
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