# ---------------------------------------------- 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)
















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