Update functions/pitch_summary_functions.py

functions/pitch_summary_functions.py

@@ -864,16 +864,16 @@ def plot_logo(pitcher_id: str, ax: plt.Axes,df_team: pl.DataFrame,df_players : p
         return
 
 splits = {
-    'All':0,
-    'LHH':13,
-    'RHH':14,
+    'all':0,
+    'left':13,
+    'right':14,
 }
 
 splits_title = {
 
-    'All':'',
-    'LHH':' vs LHH',
-    'RHH':' vs RHH',
+    'all':'',
+    'left':' vs LHH',
+    'right':' vs RHH',
 
 }
 
@@ -910,6 +910,76 @@ def fangraphs_pitching_leaderboards(season: int,
     df = pl.DataFrame(data=data['data'], infer_schema_length=1000)
     return df
 
+def fangrpahs_splits_scrape(player_input: str, year_input: int, start_date: str, end_date: str, split: str):
+    ### FANGRAPHS SPLITS SCRAPE ###
+    split_dict = {'all':[],
+                    'left':['5'],
+                    'right':['6']
+                    }
+    import json
+    url = "https://www.fangraphs.com/api/leaders/splits/splits-leaders"
+
+    fg_id = str(fangraphs_pitching_leaderboards(year_input,
+                                        split='All',
+                                        start_date = f'{year_input}-01-01',
+                                        end_date = f'{year_input}-12-31').filter(pl.col('xMLBAMID')==player_input)['playerid'][0])
+    print('start_date',start_date)
+    print('start_date',end_date)
+    payload = {
+        "strPlayerId": str(fg_id),
+        "strSplitArr": split_dict[split],
+        "strGroup": "season",
+        "strPosition": "P",
+        "strType": "2",
+        "strStartDate": str(pd.to_datetime(start_date).strftime('%Y-%m-%d')),
+        "strEndDate": str(pd.to_datetime(end_date).strftime('%Y-%m-%d')),
+        "strSplitTeams": False,
+        "dctFilters": [],
+        "strStatType": "player",
+        "strAutoPt": False,
+        "arrPlayerId": [],
+        "strSplitArrPitch": [],
+        "arrWxTemperature": None,
+        "arrWxPressure": None,
+        "arrWxAirDensity": None,
+        "arrWxElevation": None,
+        "arrWxWindSpeed": None
+    }
+    json_payload = json.dumps(payload)
+    headers = {'Content-Type': 'application/json'}
+    response = requests.post(url, data=json_payload, headers=headers)
+    data_pull = response.json()['data'][0]
+
+    payload_advanced = {
+        "strPlayerId": str(fg_id),
+        "strSplitArr": split_dict[split],
+        "strGroup": "season",
+        "strPosition": "P",
+        "strType": "1",
+        "strStartDate": str(pd.to_datetime(start_date).strftime('%Y-%m-%d')),
+        "strEndDate": str(pd.to_datetime(end_date).strftime('%Y-%m-%d')),
+        "strSplitTeams": False,
+        "dctFilters": [],
+        "strStatType": "player",
+        "strAutoPt": False,
+        "arrPlayerId": [],
+        "strSplitArrPitch": [],
+        "arrWxTemperature": None,
+        "arrWxPressure": None,
+        "arrWxAirDensity": None,
+        "arrWxElevation": None,
+        "arrWxWindSpeed": None
+    }
+
+    json_payload_advanced = json.dumps(payload_advanced)
+    headers = {'Content-Type': 'application/json'}
+    response_advanced = requests.post(url, data=json_payload_advanced, headers=headers)
+    data_pull_advanced = response_advanced.json()['data'][0]
+
+    data_pull.update(data_pull_advanced)
+    df_pull = pl.DataFrame(data_pull)
+    return df_pull
+
                                    
 def fangraphs_table(df: pl.DataFrame,
                     ax: plt.Axes,
@@ -933,18 +1003,23 @@ def fangraphs_table(df: pl.DataFrame,
     end_date = df['game_date'][-1]
 
     # Fetch Fangraphs pitching leaderboards data
-    df_fangraphs = fangraphs_pitching_leaderboards(season=season,
-                                                   split=split,
-                                                   start_date=start_date,
-                                                   end_date=end_date).filter(pl.col('xMLBAMID') == player_input)
+    # df_fangraphs = fangraphs_pitching_leaderboards(season=season,
+    #                                                split=split,
+    #                                                start_date=start_date,
+    #                                                end_date=end_date).filter(pl.col('xMLBAMID') == player_input)
     
-    df_fangraphs = df_fangraphs.with_columns(
-                    ((pl.col('Strikes')/pl.col('Pitches'))).alias('strikePercentage'),
+    # df_fangraphs = df_fangraphs.with_columns(
+    #                 ((pl.col('Strikes')/pl.col('Pitches'))).alias('strikePercentage'),
 
-    )
+    # )
+    df_fangraphs = fangrpahs_splits_scrape(player_input=player_input, 
+                                           year_input=season,
+                                           start_date=start_date,
+                                           end_date=start_date,
+                                           split=split)
 
     # Select relevant columns for the table
-    plot_table = df_fangraphs.select(['IP', 'WHIP', 'ERA', 'TBF', 'FIP', 'K%', 'BB%', 'K-BB%','strikePercentage'])
+    plot_table = df_fangraphs.select(['IP', 'WHIP', 'ERA', 'TBF', 'FIP', 'K%', 'BB%', 'K-BB%'])
 
     # Format table values
     plot_table_values = [format(plot_table[x][0], fangraphs_stats_dict[x]['format']) if plot_table[x][0] != '---' else '---' for x in plot_table.columns]