use JSON instead
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@@ -1,5 +1,5 @@
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using Revise
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using JSON, JSON3, Dates, UUIDs, PrettyPrinting, LibPQ, Base64, DataFrames, DataStructures
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using JSON, JSON, Dates, UUIDs, PrettyPrinting, LibPQ, Base64, DataFrames, DataStructures
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using YiemAgent, GeneralUtils
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using Base.Threads
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@@ -8,8 +8,8 @@ using Base.Threads
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# load config
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config = JSON3.read("/appfolder/app/dev/YiemAgent/test/config.json")
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# config = copy(JSON3.read("../mountvolume/config.json"))
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config = JSON.parsefile("/appfolder/app/dev/YiemAgent/test/config.json")
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# config = copy(JSON.parsefile("../mountvolume/config.json"))
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function executeSQL(sql::T) where {T<:AbstractString}
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@@ -180,7 +180,7 @@ function similarSommelierDecision(recentevents::T1; maxdistance::Integer=3
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println("\n~~~ found similar decision. row id $rowid, distance $distance ", @__FILE__, " ", @__LINE__)
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output_b64 = df[1, :function_output_base64] # pick the closest match
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_output_str = String(base64decode(output_b64))
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output = copy(JSON3.read(_output_str))
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output = copy(JSON.parsefile(_output_str))
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return output
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else
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println("\n~~~ similar decision not found, max distance $maxdistance ", @__FILE__, " ", @__LINE__)
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@@ -200,7 +200,7 @@ function insertSommelierDecision(recentevents::T1, decision::T2; maxdistance::In
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if row == 0 || distance > maxdistance # no close enough SQL stored in the database
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recentevents_embedding = getEmbedding(recentevents)[1]
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recentevents = replace(recentevents, "'" => "")
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decision_json = JSON3.write(decision)
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decision_json = JSON.json(decision)
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decision_base64 = base64encode(decision_json)
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decision = replace(decision_json, "'" => "")
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@@ -456,14 +456,14 @@ function main()
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lastAssistantAction = agent.memory[:events][end][:thought][:actionname]
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if lastAssistantAction == "ENDCONVERSATION" # store thoughtDict
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# save a.memory[:shortmem][:decisionlog] to disk using JSON3
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# save a.memory[:shortmem][:decisionlog] to disk using JSON
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println("\nsaving agent.memory[:shortmem][:decisionlog] to disk")
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date = "$(Dates.now())"
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date = replace(date, ':'=>'.')
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filename = "agent_decision_log_$(date)_$(agent.id).json"
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filepath = "/appfolder/mountvolume/appdata/log/$filename"
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open(filepath, "w") do io
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JSON3.pretty(io, agent.memory[:shortmem][:decisionlog])
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JSON.pretty(io, agent.memory[:shortmem][:decisionlog])
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end
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# check how many file in /appfolder/mountvolume/appdata/log/ folder now
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