UI updates

.gitignore

@@ -82,3 +82,4 @@ gamedb*
 install/**/*.bak
 install/**/*.dir
 install/**/*.dat
+install/dist/table_manager_client.zip

demo/viz.js

@@ -358,8 +358,8 @@ class PlayInfo {
 
         if ("candidates" in this.data && this.data.candidates.length > 0) {
             html += '<h3>Candidates</h3>'
-            html += '<p>We have 3 different parameters for selecting the card, and first goal is to make/set the contract (if not matchpoints), then the double dummy score, and finally the score from the neural network.'
-            html += 'But if the quality of the samples are bad (or the nn suggest a specific card with confidence), then we select the that card.'
+            html += '<p>We have 3 different parameters for selecting the card, and first goal is to make/set the contract (if not matchpoints), then the double dummy score, and finally the score from the neural network. '
+            html += 'If the quality of the samples are bad (or the nn suggest a specific card with confidence), then we select the that card. '
             html += 'Also be aware that the data is rounded to nearest even number before comparing.</p>'
             html += '<table>'
 

scripts/data/epbot/html/viz.js

@@ -356,8 +356,8 @@ class PlayInfo {
 
         if ("candidates" in this.data && this.data.candidates.length > 0) {
             html += '<h3>Candidates</h3>'
-            html += '<p>We have 3 different parameters for selecting the card, and first goal is to make/set the contract (if not matchpoints), then the double dummy score, and finally the score from the neural network.'
-            html += 'But if the quality of the samples are bad (or the nn suggest a specific card with confidence), then we select the that card.'
+            html += '<p>We have 3 different parameters for selecting the card, and first goal is to make/set the contract (if not matchpoints), then the double dummy score, and finally the score from the neural network. '
+            html += 'If the quality of the samples are bad (or the nn suggest a specific card with confidence), then we select the that card. '
             html += 'Also be aware that the data is rounded to nearest even number before comparing.</p>'
             html += '<table>'
 

src/bots.py

@@ -1152,7 +1152,7 @@ def get_card_ev_mp(self, dd_solved, probabilities_list):
             for ft, proba in zip(future_tricks, probabilities_list):
                 if ft < 0:
                     continue
-                ev_sum += ft * proba
+                ev_sum += ft * proba * 100
             card_ev[card] = ev_sum
 
         return card_ev
@@ -1167,7 +1167,7 @@ def get_card_ev_mp(self, dd_solved):
                     continue
                 tot_tricks = self.n_tricks_taken + ft
                 tot_decl_tricks = tot_tricks if self.player_i % 2 == 1 else 13 - tot_tricks
-                ev_sum += sign * tot_decl_tricks
+                ev_sum += sign * tot_decl_tricks * 100
             card_ev[card] = ev_sum / len(future_tricks)
 
         return card_ev

src/config/default_api.conf

@@ -21,8 +21,8 @@ matchpoint = True
 contract = models/contract/contract-193200
 
 [bidding]
-bidder = UCBC 2024/Models/bidding_V2-5540000
-info = UCBC 2024/Models/binfo_V2-5254000
+bidder = models/archive/gib21/bidding_V2-5540000
+info = models/archive/gib21_info/binfo_V2-5254000
 # If there are multiple bids over this threshold make a simulation for the bids
 search_threshold = 0.07
 # If there is bid above this threshold, make that bid ignoring other bids

src/frontend/api.html

@@ -619,12 +619,12 @@ <h3 class="samples"  onclick="toggleSamples('sampleLines${bids}')"><strong>Sampl
         }
 
         function displayPlay(data, player, declarer) {
-            let html = "<h3>Play</h3><br> " + this.data["card"] + " selected by " + this.data["who"] + "<br/><br/>"
+            let html = "<h3>Play</h3><br> " + data["card"] + " selected by " + data["who"] + "<br/><br/>"
 
             if ("candidates" in data && data.candidates.length > 0) {
                 html += '<h3>Candidates</h3>'
-                html += '<p>We have 3 different parameters for selecting the card, and first goal is to make/set the contract (if not matchpoints), then the double dummy score, and finally the score from the neural network.'
-                html += 'But if the quality of the samples are bad (or the nn suggest a specific card with confidence), then we select the that card.'
+                html += '<p>We have 3 different parameters for selecting the card, and first goal is to make/set the contract (if not matchpoints), then the double dummy score, and finally the score from the neural network. '
+                html += 'If the quality of the samples are bad (or the nn suggest a specific card with confidence), then we select the that card. '
                 html += 'Also be aware that the data is rounded to nearest even number before comparing.</p>'
                 html += '<table>'
 

src/frontend/viz.js

@@ -354,8 +354,8 @@ class PlayInfo {
 
         if ("candidates" in this.data && this.data.candidates.length > 0) {
             html += '<h3>Candidates</h3>'
-            html += '<p>We have 3 different parameters for selecting the card, and first goal is to make/set the contract (if not matchpoints), then the double dummy score, and finally the score from the neural network.'
-            html += 'But if the quality of the samples are bad (or the nn suggest a specific card with confidence), then we select the that card.'
+            html += '<p>We have 3 different parameters for selecting the card, and first goal is to make/set the contract (if not matchpoints), then the double dummy score, and finally the score from the neural network. '
+            html += 'If the quality of the samples are bad (or the nn suggest a specific card with confidence), then we select the that card. '
             html += 'Also be aware that the data is rounded to nearest even number before comparing.</p>'
             html += '<table>'
 

src/table_manager_client.py

@@ -129,10 +129,11 @@ async def connect(self, host, port):
         matches = re.findall(pattern, opponents)
 
         # Extracted text from the second set of quotes
-        if self.seat == "North" or self.seat == "South":
-            self.opponents = matches[1]
-        else:
-            self.opponents = matches[0]
+        if len(matches) > 1:
+            if self.seat == "North" or self.seat == "South":
+                self.opponents = matches[1]
+            else:
+                self.opponents = matches[0]
 
     async def bidding(self):
         vuln = [self.vuln_ns, self.vuln_ew]