Added `submission_timestamp` and more attributes to table

server.py

@@ -3,6 +3,7 @@ import glob
 import json
 import os
 import hashlib
+import time
 from collections import namedtuple
 
 import gradio as gr
@@ -105,24 +106,49 @@ class LeaderboardServer:
                             local_results[task + "_" + metric] = metric_value
 
                 local_results["model"] = f'<a href="{data["metadata"]["link_to_model"]}">{submission_id}</a>'
+                release = data["metadata"].get("submission_timestamp")
+                release = time.strftime("%Y-%m-%d", time.gmtime(release)) if release else "N/A"
+                local_results["release"] = release
+                local_results["model_type"] = data["metadata"]["model_type"]
+                local_results["parameters"] = data["metadata"]["parameters"]
+                local_results["win_score"] = "TBD"  # TODO: Implementovat výpočet WinScore
 
                 if self.pre_submit and submission_id == self.pre_submit.submission_id:
                     processed_results.insert(0, local_results)
                 else:
                     processed_results.append(local_results)
             dataframe = pd.DataFrame.from_records(processed_results)
-            df_order = (
-                ["model"]
+            
+            extra_attributes_map_word_to_header = {
+                "model": "Model",
+                "release": "Release",
+                "win_score": "Win score",
+                "team_name": "Team name",
+                "model_name": "Model name",
+                "model_type": "Type",
+                "parameters": "Parameters",
+                "precision": "Precision",
+                "description": "Description",
+                "link_to_model": "Link to model"
+            }
+            first_attributes = [
+                "model",
+                "release",
+                "model_type",
+                "parameters",
+                "win_score",
+            ]
+            df_order = list(dict.fromkeys(
+                first_attributes
                 + list(self.tasks_metadata.keys())
-                + [
-                    col
-                    for col in dataframe.columns
-                    if col != "model" and col not in self.tasks_metadata.keys()
-                ]
-            )
+                + list(dataframe.columns)
+                + list(extra_attributes_map_word_to_header.keys())
+            ).keys())
             dataframe = dataframe[df_order]
+            attributes_map_word_to_header = {key: value["abbreviation"] for key, value in self.tasks_metadata.items()}
+            attributes_map_word_to_header.update(extra_attributes_map_word_to_header)
             dataframe = dataframe.rename(
-                columns={key: value["abbreviation"] for key, value in self.tasks_metadata.items()}
+                columns=attributes_map_word_to_header
             )
             return dataframe
 
@@ -177,10 +203,11 @@ class LeaderboardServer:
         metadata["model_predictions_sha256"] = self.get_sha256_hexdigest(data["predictions"])
         metadata["model_results_sha256"] = self.get_sha256_hexdigest(data["results"])
         
-        # Délka ID můsí být omezena, protože se používá v názvu souboru
         submission_id = self.create_submission_id(metadata)
         metadata["submission_id"] = submission_id
         
+        metadata["submission_timestamp"] = time.time()  # timestamp
+        
         with open(file, "w") as f:
             json.dump(data, f, separators=(',', ':'))  # compact JSON