update

test/runtests.jl

@@ -1,9 +1,9 @@
 using Revise
-using LibPQ, Dates, JSON3, PrettyPrinting, UUIDs, DataFrames, DataStructures, Base64
+using LibPQ, Dates, JSON, PrettyPrinting, UUIDs, DataFrames, DataStructures, Base64
 using GeneralUtils, SQLLLM
 
 
-config = JSON3.read("/appfolder/app/dev/YiemAgent/test/config.json")
+config = JSON.parse("/appfolder/app/dev/YiemAgent/test/config.json")
 
 function executeSQL(sql::T) where {T<:AbstractString}
   host = config[:externalservice][:wineDB][:host]
@@ -173,7 +173,7 @@ function similarSommelierDecision(recentevents::T1; maxdistance::Integer=3
     println("\n~~~ found similar decision. row id $rowid, distance $distance ", @__FILE__, " ", @__LINE__)
     output_b64 = df[1, :function_output_base64]   # pick the closest match
     _output_str = String(base64decode(output_b64))
-    output = copy(JSON3.read(_output_str))
+    output = copy(JSON.parse(_output_str))
     return output
   else
     println("\n~~~ similar decision not found, max distance $maxdistance ", @__FILE__, " ", @__LINE__)
@@ -193,7 +193,7 @@ function insertSommelierDecision(recentevents::T1, decision::T2; maxdistance::In
   if row == 0 || distance > maxdistance # no close enough SQL stored in the database
     recentevents_embedding = getEmbedding(recentevents)[1]
     recentevents = replace(recentevents, "'" => "")
-    decision_json = JSON3.write(decision)
+    decision_json = JSON.json(decision)
     decision_base64 = base64encode(decision_json)
     decision = replace(decision_json, "'" => "")
     
@@ -212,14 +212,14 @@ sessionId = GeneralUtils.uuid4snakecase()
 d = Dict(:id => sessionId)
 filepath = "/appfolder/app/sessionid.json"
 open(filepath, "w") do io
-  JSON3.pretty(io, d)
+  JSON.pretty(io, d)
 end
 
 
 
 
 # query = "How many German wines do you have?"
-# highValueStateList = copy(JSON3.read("/appfolder/app/highValueState_1.json"))
+# highValueStateList = copy(JSON.parse("/appfolder/app/highValueState_1.json"))
 # selectedState = SQLLLM.compareState(query, highValueStateList, text2textInstructLLM)