update

src/interface.jl

@@ -6,7 +6,7 @@ export noNegative!, randomWithProb, randomChoiceWithProb, findIndex, limitvalue,
         matMul_3Dto4D_batchwise, isNotEqual, linearToCartesian, vectorMax,
         multiply_last, multiplyRandomElements, replaceElements, replaceElements!, isBetween,
         isLess, allTrue, getStringBetweenCharacters, JSON3read_stringKey, mkDictPath!, 
-        getDictPath, dataframeToCSV
+        getDictPath, dataframeToCSV, dfToJSONRows
 
 using JSON3, DataStructures, Distributions, Random, Dates, UUIDs, MQTTClient, DataFrames, CSV
 using ..util, ..communication
@@ -1174,6 +1174,89 @@ function dataframeToCSV(df::DataFrame)
   dfStr = String(take!(io))
   return dfStr
 end
+
+""" 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
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