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api_scraper.py

@@ -154,30 +154,41 @@ class MLB_Scrape:
         return game_df
     
 
-    def get_data(self, game_list_input: list):
-        """
-        Retrieves live game data for a list of game IDs in parallel.
+    # def get_data(self, game_list_input: list):
+    #     """
+    #     Retrieves live game data for a list of game IDs in parallel.
         
-        Parameters:
-        - game_list_input (list): A list of game IDs for which to retrieve live data.
+    #     Parameters:
+    #     - game_list_input (list): A list of game IDs for which to retrieve live data.
         
-        Returns:
-        - data_total (list): A list of JSON responses containing live game data for each game ID.
-        """
-        data_total = []
-        print('This May Take a While. Progress Bar shows Completion of Data Retrieval.')
+    #     Returns:
+    #     - data_total (list): A list of JSON responses containing live game data for each game ID.
+    #     """
+    #     data_total = []
+    #     print('This May Take a While. Progress Bar shows Completion of Data Retrieval.')
         
-        def fetch_data(game_id):
-            r = requests.get(f'https://statsapi.mlb.com/api/v1.1/game/{game_id}/feed/live')
-            return r.json()
+    #     def fetch_data(game_id):
+    #         r = requests.get(f'https://statsapi.mlb.com/api/v1.1/game/{game_id}/feed/live')
+    #         return r.json()
         
-        with ThreadPoolExecutor() as executor:
-            futures = {executor.submit(fetch_data, game_id): game_id for game_id in game_list_input}
-            for future in tqdm(as_completed(futures), total=len(futures), desc="Processing", unit="iteration"):
-                data_total.append(future.result())
+    #     with ThreadPoolExecutor() as executor:
+    #         futures = {executor.submit(fetch_data, game_id): game_id for game_id in game_list_input}
+    #         for future in tqdm(as_completed(futures), total=len(futures), desc="Processing", unit="iteration"):
+    #             data_total.append(future.result())
         
+    #     return data_total
+
+
+    def get_data(self,game_list_input = [748540]):
+        data_total = []
+        #n_count = 0
+        print('This May Take a While. Progress Bar shows Completion of Data Retrieval.')
+        for i in tqdm(range(len(game_list_input)), desc="Processing", unit="iteration"):
+            r = requests.get(f'https://statsapi.mlb.com/api/v1.1/game/{game_list_input[i]}/feed/live')
+            data_total.append(r.json())
         return data_total
 
+
     def get_data_df(self, data_list):
         """
         Converts a list of game data JSON objects into a Polars DataFrame.