update

src/interface.jl

@@ -132,17 +132,39 @@ function decisionMaker(a::T; recent::Integer=5)::Dict{Symbol,Any} where {T<:agen
       1:totalevents
     end
 
-  timeline = ""
+  recentevents = ""
   for (i, event) in enumerate(a.memory[:events][ind])
     if event[:outcome] === nothing
-      timeline *= "$i) $(event[:subject])> $(event[:actioninput])\n"
+      recentevents *= "$i) $(event[:subject])> $(event[:actioninput])\n"
     else
-      timeline *= "$i) $(event[:subject])> $(event[:actioninput]) $(event[:outcome])\n"
+      recentevents *= "$i) $(event[:subject])> $(event[:actioninput]) $(event[:outcome])\n"
     end
   end
 
+  #[TESTING] recap as caching 
   # query similar result from vectorDB
-  similarDecision = a.func[:similarSommelierDecision](timeline)
+  recapkeys = keys(a.memory[:recap])
+  _recapkeys_vec = [i for i in recapkeys]
+
+  # select recent keys
+  _recentRecapKeys =
+    if length(a.memory[:recap]) <= 3  # 1st message is a user's hello msg
+      _recapkeys_vec
+    elseif length(a.memory[:recap]) > 3
+      l = length(a.memory[:recap])
+      _recapkeys_vec[l-2:l]
+    end
+
+    # get recent recap
+  _recentrecap = OrderedDict() 
+  for (k, v) in a.memory[:recap]
+    if k ∈ _recentRecapKeys
+      _recentrecap[k] = v
+    end
+  end
+  
+  recentrecap = GeneralUtils.dictToString_noKey(_recentrecap)
+  similarDecision = a.func[:similarSommelierDecision](recentrecap)
 
   if similarDecision !== nothing
     responsedict = similarDecision
@@ -213,7 +235,7 @@ function decisionMaker(a::T; recent::Integer=5)::Dict{Symbol,Any} where {T<:agen
 
     # check if winename in shortmem occurred in chathistory. if not, skip decision and imediately use PRESENTBOX
     if haskey(a.memory[:shortmem], :available_wine)
-      # check if wine name mentioned in timeline, only check first wine name is enough
+      # check if wine name mentioned in recentevents, only check first wine name is enough
       # because agent will recommend every wines it found each time.
       df = a.memory[:shortmem][:available_wine] 
       winenames = df[:, :wine_name]
@@ -242,7 +264,7 @@ function decisionMaker(a::T; recent::Integer=5)::Dict{Symbol,Any} where {T<:agen
 
       usermsg = 
       """
-      Your recent events: $timeline
+      Your recent events: $recentevents
       Your Q&A: $QandA)
       $errornote
       """
@@ -345,15 +367,6 @@ function decisionMaker(a::T; recent::Integer=5)::Dict{Symbol,Any} where {T<:agen
 
       delete!(responsedict, :mentioned_winery)
 
-      # #CHANGE cache decision dict into vectorDB, this should be after new message is added to a.memory[:events]
-      # println("\n~~~ Do you want to cache decision dict? (y/n)")
-      # user_answer = readline()
-      # if user_answer == "y"
-      #   timeline = timeline
-      #   decisiondict = responsedict
-      #   a.func[:insertSommelierDecision](timeline, decisiondict)
-      # end
-
       return responsedict
     end
     error("DecisionMaker failed to generate a thought ", response)
@@ -1223,16 +1236,21 @@ function generatequestion(a, text2textInstructLLM::Function; recent=nothing)::St
   errornote = ""
   response = nothing # store for show when error msg show up
 
-  #[WORKING]
   recap =
-    if a.memory[:recap] === nothing
+    if length(a.memory[:recap]) <= recent
       "None"
     else 
-      if length(a.memory[:events]) > recent
-        GeneralUtils.dictToString(a.memory[:recap][1:end-recent])
-      else
-        "None"
+      recapkeys = keys(a.memory[:recap])
+      recapkeys_vec = [i for i in recapkeys]
+      recapkeys_vec = recapkeys_vec[1:end-recent]
+      tempmem = OrderedDict()
+      for (k, v) in a.memory[:recap]
+        if k ∈ recapkeys_vec
+          tempmem[k] = v
+        end
       end
+
+      GeneralUtils.dictToString(tempmem)
     end
 
   for attempt in 1:10
@@ -1373,7 +1391,7 @@ end
 # end
 
 function generateSituationReport(a, text2textInstructLLM::Function; skiprecent::Integer=0
-  )::Dict
+  )::OrderedDict
   
   systemmsg = 
   """
@@ -1404,16 +1422,7 @@ function generateSituationReport(a, text2textInstructLLM::Function; skiprecent::
     return nothing
   end
 
-  # events = deepcopy(a.memory[:events][1:end-skiprecent])
-
-  # timeline = ""
-  # for (i, event) in enumerate(events)
-  #   if event[:outcome] === nothing
-  #     timeline *= "$i) $(event[:subject])> $(event[:actioninput])\n"
-  #   else
-  #     timeline *= "$i) $(event[:subject])> $(event[:actioninput]) $(event[:outcome])\n"
-  #   end
-  # end
+  events = a.memory[:events][1:end-skiprecent]
 
   timeline = createTimeline(a.memory[:events]; skiprecent=skiprecent)