1st push

app/testapp/runtests.jl

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+# ---------------------------------------------- 100 --------------------------------------------- #
+using JSON3, MQTTClient, Dates, UUIDs, PrettyPrinting, LibPQ, Base64, DataFrames
+using GeneralUtils
+
+config = copy(JSON3.read("config.json"))
+
+msgMeta = GeneralUtils.generate_msgMeta(
+  "/yiem_branch_1/agent/wine/backend/db/api/v1/testing";
+  senderName = "wine_assistant_admin",
+  senderId= string(uuid4()),
+  mqttBrokerAddress= config[:mqttServerInfo][:broker],
+  mqttBrokerPort= config[:mqttServerInfo][:port],
+)
+
+outgoingMsg = Dict(
+  :msgMeta=> msgMeta,
+  :payload=> Dict(
+    :functioncall=> "search_materWineTable", 
+    :args=> Dict(
+      :columnname=> "wine_name",
+      :searchkeyword=> "Yarra",
+    )
+    
+  )
+)
+
+raw = GeneralUtils.sendReceiveMqttMsg(outgoingMsg)
+
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+sql = 
+"""
+SELECT * FROM wine WHERE wine_name ILIKE '%yarra%';
+"""
+DBconnection = LibPQ.Connection("host=192.168.88.12 port=5432 dbname=yiem_wine_assistant user=yiem password=yiem@Postgres_0.0")
+result = LibPQ.execute(DBconnection, sql)
+LibPQ.close(DBconnection)
+
+a = columntable(result)
+
+
+
+""" Convert a DataFrame into a list of JSON rows.
+
+#  Arguments
+  - `df::DataFrame` 
+    The input DataFrame to be converted.
+
+#  Return
+  - `rows::Vector{Dict{String, Any}}` 
+    A vector of dictionaries, where each dictionary represents a row in JSON format.
+
+#  Example
+  ```jldoctest
+  julia> using DataFrame, JSON3
+  julia> df = DataFrame(A = [1, 2, 3], B = ["apple", "banana", "cherry"])
+  julia> json_rows = dfToJSONRows(df)
+  ```
+
+#  Signature
+"""
+function dfToJSONRows(df::DataFrame)
+  rows = []
+  for row in eachrow(df)
+      json_row = Dict{String, Any}()
+      for col in names(df)
+          json_row[col] = row[col]
+      end
+      push!(rows, json_row)
+  end
+  return rows
+end
+
+
+open("d.json", "w") do io
+  JSON3.pretty(io, result)
+end
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