Update Integration.py

Integration.py

@@ -6,7 +6,6 @@ import sys
 import ast
 import json
 import yaml
-import requests
 import pyarrow.parquet as pq
 
 class Euro2020Dataset(GeneratorBasedBuilder):
@@ -538,26 +537,25 @@ class Euro2020Dataset(GeneratorBasedBuilder):
         )
 
     def _split_generators(self, dl_manager): 
-        file_url = 'https://huggingface.co/ForzaJuve1/whatever/resolve/main/Euro2020.parquet?download=true'   #'https://huggingface.co/ForzaJuve1/whatever/resolve/main/Euro2020.parquet?download=true' #"https://drive.google.com/uc?id=1QiF2WnnI2cxFDpLoetabx9Pe-DgUuV81"
+        file_url = 'https://drive.google.com/uc?1RKoAQwq68LASd4ret_OKYUkF4B4m6hnu'
         downloaded_file = dl_manager.download(file_url)
-        #dl_path = dl_manager.download_and_extract({'train_csv': file_url})
     
         return [
             SplitGenerator(
                 name="train",
-                gen_kwargs={"filepath": downloaded_file},#dl_path['train_csv']},
+                gen_kwargs={"filepath": downloaded_file},
             ),
         ]
 
     # Increase the maximum field size limit
-    #csv.field_size_limit(sys.maxsize)
+    csv.field_size_limit(sys.maxsize)
 
     def _generate_examples(self, filepath):
        
-        table = pq.read_table(filepath)
-        df = table.to_pandas()
+        #table = pq.read_table(filepath)
+        #df = table.to_pandas()
         #df = pd.read_parquet(filepath)
-        for id, row in df.iterrows():
+        #for id, row in df.iterrows():
             #MatchEvent_dict = process_nested_dict(row.get("MatchEvent", {}))
             #TeamLineUps_dict = process_nested_dict(row.get("TeamLineUps", {}))
             #TeamStats_dict = process_nested_dict(row.get("TeamStats", {}))
@@ -594,34 +592,34 @@ class Euro2020Dataset(GeneratorBasedBuilder):
         #'row' is a Pandas Series object representing the row data
         #Directly yield the id and row.to_dict() if the DataFrame structure matches the desired output
             #yield id, row.to_dict()
-        #with open(filepath, encoding="utf-8") as f:
-            #reader = pd.read_parquet(f)
-            #for id, row in enumerate(reader):
+        with open(filepath, encoding="utf-8") as f:
+            reader = pd.read_csv(f)
+            for id, row in enumerate(reader):
                 
-                #match_event_str = row["MatchEvent"]
-                #match_event_replaced = match_event_str.replace("'", '"')
-                #match_event_replaced = match_event_str.replace(": nan: ", ": None: ")
-                #match_event = yaml.safe_load(match_event_str)
+                match_event_str = row["MatchEvent"]
+                match_event_replaced = match_event_str.replace("'", '"')
+                match_event_replaced = match_event_str.replace(": nan: ", ": None: ")
+                match_event = yaml.safe_load(match_event_str)
                 
-                #team_linup_str = row["TeamLineUps"]
-                #team_linup_replaced = team_linup_str.replace(": nan", ": None")
-                #team_linup = ast.literal_eval(team_linup_replaced)
+                team_linup_str = row["TeamLineUps"]
+                team_linup_replaced = team_linup_str.replace(": nan", ": None")
+                team_linup = ast.literal_eval(team_linup_replaced)
 
-                #team_stats_str = row["TeamStats"]
-                #team_stats_replaced = team_stats_str.replace("'", '"')
-                #team_stats_replaced = team_stats_replaced.replace(": nan", ": null")
-                #team_stats = yaml.safe_load(team_stats_str)
+                team_stats_str = row["TeamStats"]
+                team_stats_replaced = team_stats_str.replace("'", '"')
+                team_stats_replaced = team_stats_replaced.replace(": nan", ": null")
+                team_stats = yaml.safe_load(team_stats_str)
 
-                #player_stats_str = row["PlayerStats"]
-                #player_stats_replaced = player_stats_str.replace("'", '"')
-                #player_stats_replaced = player_stats_replaced.replace(": nan", ": null")
-                #player_stats_replaced = player_stats_str.replace('"', '\"')
-                #player_stats = yaml.safe_load(player_stats_replaced)
+                player_stats_str = row["PlayerStats"]
+                player_stats_replaced = player_stats_str.replace("'", '"')
+                player_stats_replaced = player_stats_replaced.replace(": nan", ": null")
+                player_stats_replaced = player_stats_str.replace('"', '\"')
+                player_stats = yaml.safe_load(player_stats_replaced)
 
-                #pre_match_str = row["PlayerPreMatchInfo"]
-                #pre_match_replaced = pre_match_str.replace("'", '"')
-                #pre_match_replaced = pre_match_replaced.replace(": nan", ": null")
-                #pre_match_info = yaml.safe_load(pre_match_str)
+                pre_match_str = row["PlayerPreMatchInfo"]
+                pre_match_replaced = pre_match_str.replace("'", '"')
+                pre_match_replaced = pre_match_replaced.replace(": nan", ": null")
+                pre_match_info = yaml.safe_load(pre_match_str)
                 
             yield id, {
                     "HomeTeamName": row["HomeTeamName"],
@@ -649,10 +647,10 @@ class Euro2020Dataset(GeneratorBasedBuilder):
                     "Humidity": row["Humidity"],
                     "Temperature": row["Temperature"],
                     "WindSpeed": row["WindSpeed"],
-                    "MatchEvent": row["MatchEvent"], #MatchEvent_dict,
-                    "TeamLineUps": row["TeamLineUps"], #TeamLineUps_dict,
-                    "TeamStats": row["TeamStats"],#TeamStats_dict,
-                    "PlayerStats": row["PlayerStats"],#PlayerStats_dict,
-                    "PlayerPreMatchInfo": row["PlayerPreMatchInfo"],#PlayerPreMatchInfo_dict,
+                    "MatchEvent": match_event,
+                    "TeamLineUps": team_lineup,
+                    "TeamStats": team_stats,
+                    "PlayerStats": player_stats,
+                    "PlayerPreMatchInfo": pre_match_info
                 }