remove MQTT dependency

Reviewed-on: #6

Manifest.toml

@@ -1,8 +1,8 @@
 # This file is machine-generated - editing it directly is not advised
 
-julia_version = "1.11.4"
+julia_version = "1.11.5"
 manifest_format = "2.0"
-project_hash = "75c6a269a13b222c106479d2177b05facfa23f74"
+project_hash = "a942446c2f26ef72d0c4b0ca522e0adcf709ce4e"
 
 [[deps.AliasTables]]
 deps = ["PtrArrays", "Random"]
@@ -22,12 +22,23 @@ version = "1.11.0"
 uuid = "2a0f44e3-6c83-55bd-87e4-b1978d98bd5f"
 version = "1.11.0"
 
+[[deps.BufferedStreams]]
+git-tree-sha1 = "6863c5b7fc997eadcabdbaf6c5f201dc30032643"
+uuid = "e1450e63-4bb3-523b-b2a4-4ffa8c0fd77d"
+version = "1.2.2"
+
 [[deps.CSV]]
 deps = ["CodecZlib", "Dates", "FilePathsBase", "InlineStrings", "Mmap", "Parsers", "PooledArrays", "PrecompileTools", "SentinelArrays", "Tables", "Unicode", "WeakRefStrings", "WorkerUtilities"]
 git-tree-sha1 = "deddd8725e5e1cc49ee205a1964256043720a6c3"
 uuid = "336ed68f-0bac-5ca0-87d4-7b16caf5d00b"
 version = "0.10.15"
 
+[[deps.CodecBase]]
+deps = ["TranscodingStreams"]
+git-tree-sha1 = "40956acdbef3d8c7cc38cba42b56034af8f8581a"
+uuid = "6c391c72-fb7b-5838-ba82-7cfb1bcfecbf"
+version = "0.3.4"
+
 [[deps.CodecZlib]]
 deps = ["TranscodingStreams", "Zlib_jll"]
 git-tree-sha1 = "bce6804e5e6044c6daab27bb533d1295e4a2e759"
@@ -81,11 +92,6 @@ deps = ["Printf"]
 uuid = "ade2ca70-3891-5945-98fb-dc099432e06a"
 version = "1.11.0"
 
-[[deps.Distributed]]
-deps = ["Random", "Serialization", "Sockets"]
-uuid = "8ba89e20-285c-5b6f-9357-94700520ee1b"
-version = "1.11.0"
-
 [[deps.Distributions]]
 deps = ["AliasTables", "FillArrays", "LinearAlgebra", "PDMats", "Printf", "QuadGK", "Random", "SpecialFunctions", "Statistics", "StatsAPI", "StatsBase", "StatsFuns"]
 git-tree-sha1 = "3101c32aab536e7a27b1763c0797dba151b899ad"
@@ -148,6 +154,11 @@ deps = ["Random"]
 uuid = "9fa8497b-333b-5362-9e8d-4d0656e87820"
 version = "1.11.0"
 
+[[deps.HashArrayMappedTries]]
+git-tree-sha1 = "2eaa69a7cab70a52b9687c8bf950a5a93ec895ae"
+uuid = "076d061b-32b6-4027-95e0-9a2c6f6d7e74"
+version = "0.2.0"
+
 [[deps.HypergeometricFunctions]]
 deps = ["LinearAlgebra", "OpenLibm_jll", "SpecialFunctions"]
 git-tree-sha1 = "b1c2585431c382e3fe5805874bda6aea90a95de9"
@@ -264,21 +275,17 @@ version = "0.3.28"
 uuid = "56ddb016-857b-54e1-b83d-db4d58db5568"
 version = "1.11.0"
 
-[[deps.MQTTClient]]
-deps = ["Distributed", "Random", "Sockets"]
-git-tree-sha1 = "f2597b290d4bf17b577346153cd2ddf9accb5c26"
-uuid = "985f35cc-2c3d-4943-b8c1-f0931d5f0959"
-version = "0.3.1"
-weakdeps = ["PrecompileTools"]
-
-    [deps.MQTTClient.extensions]
-    PrecompileMQTT = "PrecompileTools"
-
 [[deps.Markdown]]
 deps = ["Base64"]
 uuid = "d6f4376e-aef5-505a-96c1-9c027394607a"
 version = "1.11.0"
 
+[[deps.MbedTLS]]
+deps = ["Dates", "MbedTLS_jll", "MozillaCACerts_jll", "NetworkOptions", "Random", "Sockets"]
+git-tree-sha1 = "c067a280ddc25f196b5e7df3877c6b226d390aaf"
+uuid = "739be429-bea8-5141-9913-cc70e7f3736d"
+version = "1.1.9"
+
 [[deps.MbedTLS_jll]]
 deps = ["Artifacts", "Libdl"]
 uuid = "c8ffd9c3-330d-5841-b78e-0817d7145fa1"
@@ -298,6 +305,18 @@ version = "1.11.0"
 uuid = "14a3606d-f60d-562e-9121-12d972cd8159"
 version = "2023.12.12"
 
+[[deps.NATS]]
+deps = ["Base64", "BufferedStreams", "CodecBase", "Dates", "DocStringExtensions", "JSON3", "MbedTLS", "NanoDates", "Random", "ScopedValues", "Sockets", "Sodium", "StructTypes", "URIs"]
+git-tree-sha1 = "d9d9a189fb9155a460e6b5e8966bf6a66737abf8"
+uuid = "55e73f9c-eeeb-467f-b4cc-a633fde63d2a"
+version = "0.1.0"
+
+[[deps.NanoDates]]
+deps = ["Dates", "Parsers"]
+git-tree-sha1 = "850a0557ae5934f6e67ac0dc5ca13d0328422d1f"
+uuid = "46f1a544-deae-4307-8689-c12aa3c955c6"
+version = "1.0.3"
+
 [[deps.NetworkOptions]]
 uuid = "ca575930-c2e3-43a9-ace4-1e988b2c1908"
 version = "1.2.0"
@@ -310,7 +329,7 @@ version = "0.3.27+1"
 [[deps.OpenLibm_jll]]
 deps = ["Artifacts", "Libdl"]
 uuid = "05823500-19ac-5b8b-9628-191a04bc5112"
-version = "0.8.1+4"
+version = "0.8.5+0"
 
 [[deps.OpenSpecFun_jll]]
 deps = ["Artifacts", "CompilerSupportLibraries_jll", "JLLWrappers", "Libdl", "Pkg"]
@@ -423,6 +442,12 @@ version = "0.5.1+0"
 uuid = "ea8e919c-243c-51af-8825-aaa63cd721ce"
 version = "0.7.0"
 
+[[deps.ScopedValues]]
+deps = ["HashArrayMappedTries", "Logging"]
+git-tree-sha1 = "1147f140b4c8ddab224c94efa9569fc23d63ab44"
+uuid = "7e506255-f358-4e82-b7e4-beb19740aa63"
+version = "1.3.0"
+
 [[deps.SentinelArrays]]
 deps = ["Dates", "Random"]
 git-tree-sha1 = "d0553ce4031a081cc42387a9b9c8441b7d99f32d"
@@ -437,6 +462,12 @@ version = "1.11.0"
 uuid = "6462fe0b-24de-5631-8697-dd941f90decc"
 version = "1.11.0"
 
+[[deps.Sodium]]
+deps = ["Base64", "libsodium_jll"]
+git-tree-sha1 = "907703e0d50846f300650d7225bdcab145b7bca9"
+uuid = "4f5b5e99-b0ad-42cd-b47a-334e172ec8bd"
+version = "1.1.2"
+
 [[deps.SortingAlgorithms]]
 deps = ["DataStructures"]
 git-tree-sha1 = "66e0a8e672a0bdfca2c3f5937efb8538b9ddc085"
@@ -544,6 +575,11 @@ git-tree-sha1 = "0c45878dcfdcfa8480052b6ab162cdd138781742"
 uuid = "3bb67fe8-82b1-5028-8e26-92a6c54297fa"
 version = "0.11.3"
 
+[[deps.URIs]]
+git-tree-sha1 = "24c1c558881564e2217dcf7840a8b2e10caeb0f9"
+uuid = "5c2747f8-b7ea-4ff2-ba2e-563bfd36b1d4"
+version = "1.6.0"
+
 [[deps.UUIDs]]
 deps = ["Random", "SHA"]
 uuid = "cf7118a7-6976-5b1a-9a39-7adc72f591a4"
@@ -574,6 +610,12 @@ deps = ["Artifacts", "Libdl"]
 uuid = "8e850b90-86db-534c-a0d3-1478176c7d93"
 version = "5.11.0+0"
 
+[[deps.libsodium_jll]]
+deps = ["Artifacts", "JLLWrappers", "Libdl", "Pkg"]
+git-tree-sha1 = "f76d682d87eefadd3f165d8d9fda436464213142"
+uuid = "a9144af2-ca23-56d9-984f-0d03f7b5ccf8"
+version = "1.0.20+3"
+
 [[deps.nghttp2_jll]]
 deps = ["Artifacts", "Libdl"]
 uuid = "8e850ede-7688-5339-a07c-302acd2aaf8d"

Project.toml

@@ -1,7 +1,7 @@
 name = "GeneralUtils"
 uuid = "c6c72f09-b708-4ac8-ac7c-2084d70108fe"
 authors = ["tonaerospace <tonaerospace.etc@gmail.com>"]
-version = "0.3.0"
+version = "0.3.1"
 
 [deps]
 CSV = "336ed68f-0bac-5ca0-87d4-7b16caf5d00b"
@@ -10,8 +10,11 @@ DataStructures = "864edb3b-99cc-5e75-8d2d-829cb0a9cfe8"
 Dates = "ade2ca70-3891-5945-98fb-dc099432e06a"
 Distributions = "31c24e10-a181-5473-b8eb-7969acd0382f"
 JSON3 = "0f8b85d8-7281-11e9-16c2-39a750bddbf1"
-MQTTClient = "985f35cc-2c3d-4943-b8c1-f0931d5f0959"
+NATS = "55e73f9c-eeeb-467f-b4cc-a633fde63d2a"
 PrettyPrinting = "54e16d92-306c-5ea0-a30b-337be88ac337"
 Random = "9a3f8284-a2c9-5f02-9a11-845980a1fd5c"
 SHA = "ea8e919c-243c-51af-8825-aaa63cd721ce"
 UUIDs = "cf7118a7-6976-5b1a-9a39-7adc72f591a4"
+
+[compat]
+NATS = "0.1.0"

codesnippet/nats.jl

@@ -0,0 +1,79 @@
+
+using NATS, JSON3
+connection  = NATS.connect("nats.yiem.cc:4222")
+sub1 = NATS.reply(connection, "some_subject"; queue_group="group1") do msg
+                  payload = copy(JSON3.read(msg.payload))
+                  println(payload)
+                  println(msg.reply_to)
+                  # publish(connection, msg.reply_to, "ACK")
+                  return JSON3.write(Dict(:a=>"wassup"))
+              end
+
+
+
+
+
+
+
+
+
+
+using NATS, JSON3, GeneralUtils
+connection  = NATS.connect("nats.yiem.cc:4222")
+
+msgMeta = GeneralUtils.generate_msgMeta(
+  "text2textinstruct_medium.inference.api.v1";
+  msgPurpose= "inference",
+  senderName= "yiemagent",
+  senderId= GeneralUtils.uuid4snakecase(),
+  receiverName= "text2textinstruct",
+)
+
+llmHttpTimeout = 60
+outgoingMsg = Dict(
+    :msgMeta=> msgMeta,
+    :payload=> Dict(
+      :text=> "Wassup buddy!",
+      :kwargs=> Dict(
+        :max_tokens=> 2048,
+        :stop=> ["<|im_end|>"],
+        :temperature=> 0.2,
+      ),
+      :llmHttpTimeout=>llmHttpTimeout,
+    )
+  )
+
+r = NATS.request(String, connection, "text2textinstruct_medium.inference.api.v1", 
+                JSON3.write(outgoingMsg); timer=Timer(llmHttpTimeout))
+
+
+
+
+
+
+
+
+
+
+
+using NATS, JSON3, GeneralUtils
+connection  = NATS.connect("nats.yiem.cc:4222")
+
+msgMeta = GeneralUtils.generate_msgMeta(
+  "tonpc.containerServices",
+  msgPurpose="reset container",
+  senderName= "",
+)
+
+outgoingMsg = Dict(
+  :msgMeta=> msgMeta,
+  :payload=> "docker container restart ollama-instance-2",
+)
+
+# may be I can't use NATS request inside NATS reply??
+r = NATS.request(String, connection, msgMeta[:sendTopic], JSON3.write(outgoingMsg); timer=Timer(10))
+
+
+
+
+

src/GeneralUtils.jl

@@ -2,7 +2,7 @@ module GeneralUtils
     
 
 export  # struct
-        mqttClientInstance,
+        # mqttClientInstance,
         # function
         noNegative!, randomWithProb, randomChoiceWithProb, findIndex, limitvalue 
 

src/dbUtil.jl

@@ -2,7 +2,7 @@ module dbUtil
   
 export dictToPostgresKeyValueString, generateInsertSQL, generateUpdateSQL
 
-using JSON3, DataStructures, Distributions, Random, Dates, UUIDs, MQTTClient, DataFrames,
+using JSON3, DataStructures, Distributions, Random, Dates, UUIDs, DataFrames,
       SHA
 using ..util
 

src/interface.jl

@@ -6,9 +6,9 @@ export noNegative!, randomWithProb, randomChoiceWithProb, findIndex, limitvalue,
         matMul_3Dto4D_batchwise, isNotEqual, linearToCartesian, vectorMax, findMax,
         multiply_last, multiplyRandomElements, replaceElements, replaceElements!, isBetween,
         isLess, allTrue, getStringBetweenCharacters, JSON3read_stringKey, mkDictPath!, 
-        getDictPath
+        getDictPath, detectKeywordVariation, textToDict
 
-using JSON3, DataStructures, Distributions, Random, Dates, UUIDs, MQTTClient, DataFrames, CSV
+using JSON3, DataStructures, Distributions, Random, Dates, UUIDs, DataFrames, CSV
 using ..util, ..communication
 
 # ---------------------------------------------- 100 --------------------------------------------- #
@@ -1150,9 +1150,196 @@ end
 
 
 
+"""
+    detectKeywordVariation(keywords::AbstractVector{String}, text::String) -> Dict{String, Union{Array, Nothing}}
+
+Detects and collects all case-variant occurrences of multiple keywords in the text. 
+This function processes each keyword individually and returns an array of matched variations for each keyword.
+
+# Arguments
+- `keywords::AbstractVector{String}` Vector of keywords to search for
+- `text::String` The text to search in
+
+# Returns
+- `Dict{String, Array}` Returns a dictionary mapping each keyword to an array of matched variations found in the text
+
+# Examples
+  ```jldoctest
+  julia> detectKeywordVariation(["test", "example", "cat"], "This is a Test EXAMPLE")
+  Dict{String, Array}("test" => ["Test"], "example" => ["EXAMPLE"], "cat" => nothing)
+"""
+function detectKeywordVariation(keywords::T, text::String)::Dict{String, Union{Array, Nothing}} where {T<:AbstractVector}
+  kw = Dict{String, Union{Array, Nothing}}()
+  
+  # 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
+    ws = detectKeywordVariation.(keyword, text)
+    total = sum(issomething.(ws))
+    if total != 0
+      kw[keyword] = ws
+    else
+      kw[keyword] = nothing
+    end
+  end
+  return kw
+end
 
 
+"""
+    detectKeywordVariation(keyword::String, text::String) -> Union{Nothing, Array{String}}
 
+Detects if a keyword exists in the text in different case variations (lowercase, uppercase first letter, or all uppercase).
+
+# Arguments:
+- `keyword::String` The keyword to search for
+- `text::String` The text to search in
+
+# Returns:
+- `Union{Nothing, Array{String}}` Returns an array of matched keyword variations if found, otherwise returns nothing
+
+# Examples:
+  ```jldoctest
+  julia> detectKeywordVariation("test", "This is a Test case")
+  ["Test"]
+
+  julia> detectKeywordVariation("error", "NO ERRORS FOUND")
+  ["ERRORS"]
+
+  julia> detectKeywordVariation("missing", "complete data")
+  nothing
+"""
+function detectKeywordVariation(keyword::String, text::String)::Union{Nothing, Array{String}}
+  # Define the keyword variations to search for
+  wordVariations = [uppercasefirst(keyword), uppercase(keyword), lowercase(keyword)]
+  # wordVariations may duplicate keyword
+  keyword_variations = [keyword]
+  for i in wordVariations
+    i != keyword ? push!(keyword_variations, i) : nothing
+  end
+
+  _splittext = string.(strip.(split(text, " ")))
+  splittext = String[]
+  # remove . after a word
+  for i in _splittext
+    if length(i) != 0 && i[end] ∈ ['.']
+      word = string(i[1:end-1])
+      push!(splittext, word)
+    else
+      push!(splittext, i)
+    end
+  end
+
+  result = String[]
+  for variation in keyword_variations
+    # if length of both word is equals then it is a whole word otherwise it is part of part of other word
+    r = findIndex(splittext, variation)
+
+    if isempty(r[2])
+      # skip
+    else
+      # if variation > 1 add them all so this function detect duplicate keyword
+      variations = [variation for i in eachindex(r[2])]
+      result = vcat(result, variations)
+    end
+  end
+  return result
+end
+
+
+""" Convert text into a dictionary with a given keywords. This function use keywords to slice
+  a given text into the following format: KW1|kw1_text|KW2|kw2_text|KW3|kw3_text.
+  The left most string which has no keyword will be discarded. WARNING, ordering is important
+
+# Arguments
+  - `text::String`
+    A text to be converted.
+  - `keywords::Vector{String}`
+    A list of keywords to be used to slice the text. 
+    These keywords also be the resulting dict keys.
+# Keyword Arguments
+  - `rightmarker::String`
+    A maker used to make a word to be unique. Ex, A keyword "plan" with rightmarker ":", 
+    the function will search for "plan:" otherwise the function will search for "plan".
+    The marker will not be in the resulting dict keys.
+  - `symbolkey::Bool`
+    If true, resulting dict's key will be Symbols, otherwise string.
+  - `lowercasekey::Bool`
+    set resulting dict's key to be lowercase
+
+# Return
+  - `d::OrderedDict`
+
+# Example
+```jldoctest
+julia> text = "TODAY thought: what to do plan: wake up and going out action: 1. wake up 2. eat 3. sleep"
+julia> sample_keywords = ["thought", "plan", "action"]
+julia> resultdict = GeneralUtils.textToDict(text, sample_keywords; rightmarker=":", symbolkey=true)
+julia> println(resultdict)
+OrderedCollections.OrderedDict{Any, Any}(:thought => "what to do", 
+                                        :plan => "wake up and going out", 
+                                        :action => "1. wake up 2. eat 3. sleep")
+```
+
+# Signature
+"""
+function textToDict(text::String, detectKeywords::Vector{String}; 
+    dictKey::Union{Vector{String}, Nothing}=nothing, 
+    symbolkey::Bool=false, lowercasekey::Bool=false
+    )::OrderedDict
+
+  # make sure this function detect variation of a work e.g. agent, Agent, AGENT
+  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 detectKeywords
+    detected = detectKeywordVariation(keyword, text)
+    if detected !== nothing
+      push!(kw, detected)
+    else
+      error("Keyword $keyword not found in text: $text")
+    end
+  end
+  if typeof(kw[1]) <: AbstractArray
+    kw = reduce(vcat, kw)
+  end
+
+  od1, od2 =
+  if symbolkey
+    OrderedDict{Symbol, Any}(), OrderedDict{Symbol, Any}()
+  else
+    OrderedDict{String, Any}(), OrderedDict{String, Any}()
+  end
+
+  remainingtext = text
+  dictKey_ = reverse(dictKey)
+  
+  # process text from back to front
+  rkw = reverse(kw)
+  for (i,keyword) in enumerate(rkw)
+    # Find the position of the keyword in the text
+    keywordidx = findlast(keyword, remainingtext)
+    dKey = dictKey_[i]
+    
+    if keywordidx !== nothing
+      substr = remainingtext[keywordidx[end]+1:end]
+      str = string(strip(substr))  # Removes both leading and trailing whitespace.
+      _key = lowercasekey == true ? lowercase(dKey) : dKey
+      key = symbolkey == true ? Symbol(_key) : _key
+      od1[key] = str
+      remainingtext = remainingtext[1:keywordidx[1]-1]
+    else
+      error("""keyword "$keyword" not found in the provided text: $text </end of error note>""")
+    end
+  end
+
+  # correct the order
+  ks = reverse([i for i in keys(od1)])
+  for k in ks
+    k = symbolkey == true ? Symbol(k) : k
+    od2[k] = od1[k]
+  end
+  
+  return od2
+end
 
 
 

src/util.jl

@@ -1,15 +1,15 @@
 module util
   
 export timedifference, showstracktrace, findHighestIndexKey, uuid4snakecase, replaceDictKeys,
-        findMatchingDictKey, textToDict, randstring, randstrings, timeout,
+        findMatchingDictKey, randstring, randstrings, timeout,
         dataframeToCSV, dfToVectorDict, disintegrate_vectorDict, getDataFrameValue, dfRowtoString, 
-        dfToString, dataframe_to_json_list, dictToString, dictToString_noKey, 
+        dfToString, dataframe_to_json_list, dictToString, dictToString_noKey, issomething,
         dictToString_numbering, extract_triple_backtick_text, 
-        countGivenWords, remove_french_accents, detect_keyword, extractTextBetweenCharacter,
+        countGivenWords, remove_french_accents, 
-        extractTextBetweenString, 
+        extractTextBetweenCharacter, extractTextBetweenString, 
         convertCamelSnakeKebabCase, fitrange, recentElementsIndex, nonRecentElementsIndex
 
-using JSON3, DataStructures, Distributions, Random, Dates, UUIDs, MQTTClient, DataFrames
+using JSON3, DataStructures, Distributions, Random, Dates, UUIDs, DataFrames
 
 # ---------------------------------------------- 100 --------------------------------------------- #
 
@@ -244,102 +244,6 @@ function replaceDictKeys(d::Dict, replacementMap::Dict)::Dict
 end
 
 
-""" Convert text into a dictionary with a given keywords. This function use keywords to slice
-  a given text into the following format: KW1|kw1_text|KW2|kw2_text|KW3|kw3_text.
-  The left most string which has no keyword will be discarded. WARNING, ordering is important
-
-# Arguments
-  - `text::String`
-    A text to be converted.
-  - `keywords::Vector{String}`
-    A list of keywords to be used to slice the text. 
-    These keywords also be the resulting dict keys.
-# Keyword Arguments
-  - `rightmarker::String`
-    A maker used to make a word to be unique. Ex, A keyword "plan" with rightmarker ":", 
-    the function will search for "plan:" otherwise the function will search for "plan".
-    The marker will not be in the resulting dict keys.
-  - `symbolkey::Bool`
-    If true, resulting dict's key will be Symbols, otherwise string.
-  - `lowercasekey::Bool`
-    set resulting dict's key to be lowercase
-
-# Return
-  - `d::OrderedDict`
-
-# Example
-```jldoctest
-julia> text = "TODAY thought: what to do plan: wake up and going out action: 1. wake up 2. eat 3. sleep"
-julia> sample_keywords = ["thought", "plan", "action"]
-julia> resultdict = GeneralUtils.textToDict(text, sample_keywords; rightmarker=":", symbolkey=true)
-julia> println(resultdict)
-OrderedCollections.OrderedDict{Any, Any}(:thought => "what to do", 
-                                        :plan => "wake up and going out", 
-                                        :action => "1. wake up 2. eat 3. sleep")
-```
-
-# Signature
-"""
-function textToDict(text::String, detectKeywords::Vector{String}; 
-    dictKey::Union{Vector{String}, Nothing}=nothing, 
-    symbolkey::Bool=false, lowercasekey::Bool=false
-    )::OrderedDict
-
-  # make sure this function detect variation of a work e.g. agent, Agent, AGENT
-  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 detectKeywords
-    detected = detect_keyword(keyword, text)
-    if detected !== nothing
-      push!(kw, detected)
-    else
-      error("Keyword $keyword not found in text.")
-    end
-  end
-
-  od1, od2 =
-  if symbolkey
-    OrderedDict{Symbol, Any}(), OrderedDict{Symbol, Any}()
-  else
-    OrderedDict{String, Any}(), OrderedDict{String, Any}()
-  end
-
-  remainingtext = text
-  dictKey_ = reverse(dictKey)
-  
-  # process text from back to front
-  rkw = reverse(kw)
-  for (i,keyword) in enumerate(rkw)
-    # Find the position of the keyword in the text
-    keywordidx = findlast(keyword, remainingtext)
-    dKey = dictKey_[i]
-    
-    if keywordidx !== nothing
-      substr = remainingtext[keywordidx[end]+1:end]
-      str = string(strip(substr))  # Removes both leading and trailing whitespace.
-      _key = lowercasekey == true ? lowercase(dKey) : dKey
-      key = symbolkey == true ? Symbol(_key) : _key
-      od1[key] = str
-      remainingtext = remainingtext[1:keywordidx[1]-1]
-    else
-      error("""keyword "$keyword" not found in the provided text: $text </end of error note>""")
-    end
-  end
-
-  # correct the order
-  ks = reverse([i for i in keys(od1)])
-  for k in ks
-    k = symbolkey == true ? Symbol(k) : k
-    od2[k] = od1[k]
-  end
-  
-  return od2
-end
-
-
-
-
-
 """ Generate a random string
 
 # Arguments
@@ -784,152 +688,6 @@ function cuttext(range, text)
   end
 end
 
-"""
-    detect_keyword(keywords::AbstractVector{String}, text::String; mode::Union{String, Nothing}=nothing, delimiter::AbstractVector=[' ', '\n', '.']) -> Dict{String, Integer}
-
-Detects and counts occurrences of multiple keywords in the text in different case variations (lowercase, uppercase first letter, or all uppercase).
-
-# Arguments
-- `keywords::AbstractVector{String}` Vector of keywords to search for
-- `text::String` The text to search in
-
-# Keyword Arguments
-- `mode::Union{String, Nothing}` When set to "individual", only counts matches that are individual words (default: nothing)
-- `delimiter::AbstractVector` Characters used to determine word boundaries when mode="individual" (default: [' ', '\n', '.'])
-
-# Returns
-- `Dict{String, Integer}` Returns a dictionary mapping each keyword to its count in the text (0 if not found)
-
-# Examples
-  ```jldoctest
-  julia> detect_keyword(["test", "example"], "This is a Test EXAMPLE")
-  Dict{String, Integer}("test" => 1, "example" => 1)
-
-  julia> detect_keyword(["cat"], "cats and category", mode="individual")
-  Dict{String, Integer}("cat" => 0)
-
-  julia> detect_keyword(["error"], "No ERRORS found!")
-  Dict{String, Integer}("error" => 1)
-  ```
-  
-# Signature
-"""
-# function detect_keyword(keywords::T1, text::String; 
-#   mode::Union{String, Nothing}=nothing, delimiter::T2=[' ', '\n', '.']
-#   )::Dict{String, Integer} where {T1<:AbstractVector, T2<:AbstractVector}
-#   # Initialize dictionary to store keyword counts
-#   kwdict = Dict{String, Integer}()
-#   for i in keywords
-#     kwdict[i] = 0
-#   end
-  
-#   startindex = 1
-#   # Iterate through each keyword and search for matches in text
-#   for kw in keywords
-#     # Check each possible starting position in the text
-#     for startindex in 1:1:length(text)
-#       # Get the window range for current keyword at current position
-#       wordwindows = wordwindow(kw, startindex)
-#       # Extract the text slice for comparison
-#       cuttexts = cuttext(wordwindows, text)
-#       if cuttexts !== nothing
-#         # Try to detect keyword in current text slice
-#         detected_kw = detect_keyword(kw, cuttexts)
-#         if detected_kw !== nothing && mode === nothing
-#           # Increment count if keyword found and no mode restrictions
-#           kwdict[kw] +=1
-#         elseif detected_kw !== nothing && mode === "individual"
-#           # For individual word mode, check word boundaries
-#           # Check if character before keyword is a delimiter or start of text
-#           checkbefore = 
-#             if wordwindows.start > 1 && 
-#               text[wordwindows.start-1] ∈ delimiter
-#               true
-#             elseif wordwindows.start == 1
-#               true
-#             else
-#               false
-#             end
-
-#           # Check if character after keyword is a delimiter or end of text
-#           checkafter =
-#             if wordwindows.stop < length(text) && 
-#               text[wordwindows.stop+1] ∈ delimiter
-#               true
-#             elseif wordwindows.stop == length(text)
-#               true
-#             else
-#               false
-#             end
-#           # Only count keyword if it's a complete word
-#           if checkbefore && checkafter
-#             kwdict[kw] +=1
-#           end
-#         end
-#       end
-#     end
-#   end
-#   return kwdict
-# end
-
-
-function detect_keyword(keywords::T, text::String)::Dict{String, Integer} where {T<:AbstractVector}
-  kw = Dict{String, Integer}()
-  splittext = string.(split(text, " "))
-  # 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
-    ws = detect_keyword.(keyword, splittext)
-    total = sum(issomething.(ws))
-    if total != 0
-      kw[keyword] = total
-    else
-      kw[keyword] = 0
-    end
-  end
-  return kw
-end
-
-
-"""
-    detect_keyword(keyword::String, text::String) -> Union{Nothing, String}
-
-Detects if a keyword exists in the text in different case variations (lowercase, uppercase first letter, or all uppercase).
-
-# Arguments:
-- `keyword::String` The keyword to search for
-- `text::String` The text to search in
-
-# Returns:
-- `Union{Nothing, String}` Returns the matched keyword variation if found, otherwise returns nothing
-
-# Examples:
-  ```jldoctest
-  julia> detect_keyword("test", "This is a Test case")
-  "Test"
-
-  julia> detect_keyword("error", "NO ERRORS FOUND")
-  "ERRORS"
-
-  julia> detect_keyword("missing", "complete data")
-  nothing
-  ```
-
-# Signature
-"""
-function detect_keyword(keyword::String, text::String)::Union{Nothing, String}
-  # Define the keyword variations to search for
-  keyword_variations = [keyword, uppercasefirst(keyword), uppercase(keyword), lowercase(keyword)]
-  
-  # Check if any of the keyword variations are in the text
-  for variation in keyword_variations
-      if occursin(variation, text)
-          return variation
-      end
-  end
-  
-  # Return nothing if no variation is found
-  return nothing
-end
 
 
 """

test/etc.jl

@@ -1,7 +0,0 @@
-python -> pandas -> dataframe -> csv
-                
-
-
-julia -> DataFrames -> dataframe -> csv
-
-                  dict -> dataframe -> csv