Merge pull request 'v0.1.1-dev' (#1) from v0.1.1-dev into main

Reviewed-on: #1

Project.toml

@@ -1,7 +1,7 @@
 name = "GeneralUtils"
 uuid = "c6c72f09-b708-4ac8-ac7c-2084d70108fe"
 authors = ["tonaerospace <tonaerospace.etc@gmail.com>"]
-version = "0.1.0"
+version = "0.1.1"
 
 [deps]
 CSV = "336ed68f-0bac-5ca0-87d4-7b16caf5d00b"

src/communication.jl

@@ -117,7 +117,7 @@ end
   julia> using Revise
   julia> using GeneralUtils, Dates, JSON3, UUIDs
   julia> mqttMsgReceiveTopic = ["/receivetopic_1", "/receivetopic_2"]
-  julia> mqttMsgReceiveChannel = (ch1=Channel(8), ch2=Channel(32))
+  julia> mqttMsgReceiveChannel = (ch1=Channel(8), ch2=Channel(32))  # single channel Ex. (ch1=Channel(8),)
   julia> keepaliveChannel = Channel(8)
   julia> function onMsgCallback(topic, payload)
             jobj = JSON3.read(String(payload))

src/util.jl

@@ -4,7 +4,7 @@ export timedifference, showstracktrace, findHighestIndexKey, uuid4snakecase, rep
         findMatchingDictKey, textToDict, randstring, randstrings, timeout,
         dataframeToCSV, dfToVectorDict, disintegrate_vectorDict, getDataFrameValue, dfRowtoString, 
         dfToString, dataframe_to_json_list, dict_to_string, extract_triple_backtick_text, 
-        countGivenWords, remove_french_accents
+        countGivenWords, remove_french_accents, detect_keyword
 
 using JSON3, DataStructures, Distributions, Random, Dates, UUIDs, MQTTClient, DataFrames
 
@@ -284,7 +284,10 @@ function textToDict(text::String, keywords::Vector{String};
   kw = []
   # use for loop and detect_keyword function to get the exact variation of each keyword in the text then push to kw list
   for keyword in keywords
-    push!(kw, detect_keyword(keyword, text))
+    detected = detect_keyword(keyword, text)
+    if detected !== nothing
+      push!(kw, detected)
+    end
   end
 
   od1, od2 =
@@ -798,19 +801,19 @@ Count the occurrences of each word in the given list within the provided text.
 - `words::Vector{String}`: A vector of words whose occurrences need to be counted.
 
 # Returns
-- `Dict{String, Int}`: A dictionary where keys are the words from the `words` list and values are their respective counts in the `text`.
+- `Vector{Int64}`: Their respective counts in the `text`.
 
 # Examples
   ```julia
-  julia> countGivenWords("hello world hello", ["hello", "world"])
-  Dict{String,Int64} with 2 entries:
-    "hello" => 2
-    "world" => 1
+  julia> GeneralUtils.countGivenWords("hello world hello", ["hello", "world"])
+  2-element Vector{Int64}:
+    2
+    1
 
-  julia> countGivenWords("foo bar baz foo", ["foo", "qux"])
-  Dict{String,Int64} with 2 entries:
-    "foo" => 2
-    "qux" => 0
+  julia> GeneralUtils.countGivenWords("foo bar baz foo", ["foo", "qux"])
+  2-element Vector{Int64}:
+    2
+    0
   ```
 
 # Signature