S7 cleanup and SSS bug fixes

batters/calcs_batter.py

@@ -112,7 +112,7 @@ class BattingCardRatingsModel(pydantic.BaseModel):
         self.double_pull = sanitize_chance_output(tot_doubles - self.double_two)
         self.rem_xbh -= Decimal(self.double_two + self.double_pull)
 
-        if self.rem_xbh > Decimal(0):
+        if (self.rem_xbh > Decimal(0)) and szn_hr > 0:
             self.bp_homerun = bp_homeruns(self.rem_xbh, hr_per_fb)
             self.homerun = sanitize_chance_output(self.rem_xbh - self.bp_homerun, min_chances=0.5)
             self.rem_xbh -= Decimal(self.bp_homerun + self.homerun)
@@ -354,11 +354,14 @@ def stealing(chances: int, sb2s: int, cs2s: int, sb3s: int, cs3s: int, season_pc
         st_auto = False
 
     # chance_odds = [x / 36 for x in range(1, 36)]
-    st_jump = 0
+    if attempt_pct * 1.5 >= 1.0:
-    for x in range(1, 37):
+        st_jump = 1.0
-        if attempt_pct * 1.5 <= x / 36:
+    else:
-            st_jump = x / 36
+        st_jump = 0
-            break
+        for x in range(1, 37):
+            if attempt_pct * 1.5 <= x / 36:
+                st_jump = x / 36
+                break
 
     st_high = mround(20 * (sb2s / (sb2s + cs2s + cs2s)))
     if st_high <= 10:

batters/creation.py

@@ -151,11 +151,11 @@ async def calculate_batting_cards(offense_stats: pd.DataFrame, cardset: dict, se
     def create_batting_card(df_data):
         logging.info(df_data['player_id'])
         s_data = cba.stealing(
-            chances=df_data['SBO'],
+            chances=int(df_data['SBO']),
-            sb2s=df_data['SB2'],
+            sb2s=int(df_data['SB2']),
-            cs2s=df_data['CS2'],
+            cs2s=int(df_data['CS2']),
-            sb3s=df_data['SB3'],
+            sb3s=int(df_data['SB3']),
-            cs3s=df_data['CS3'],
+            cs3s=int(df_data['CS3']),
             season_pct=season_pct
         )
         batting_cards.append({

defenders/calcs_defense.py

@@ -14,7 +14,7 @@ async def create_positions(
         df_rf: pd.DataFrame, df_of: pd.DataFrame):
     position_payload = []
 
-    def create_positions(df_data):
+    def process_pos(df_data):
         no_data = True
         for pos_data in [(df_1b, '1b'), (df_2b, '2b'), (df_3b, '3b'), (df_ss, 'ss')]:
             if df_data['key_bbref'] in pos_data[0].index:
@@ -127,7 +127,7 @@ async def create_positions(
             })
 
     print(f'Calculating fielding lines now...')
-    all_stats.apply(create_positions, axis=1)
+    all_stats.apply(process_pos, axis=1)
     print(f'Fielding is complete.\n\nPosting positions now...')
     if post_pos:
         resp = await db_put('cardpositions', payload={'positions': position_payload}, timeout=30)
@@ -301,8 +301,8 @@ def valid_error_ratings(err_num: int, position: str) -> int:
 def raw_error(errors: int, chances: int, season_pct: float, chance_max: int):
     if errors == 0 or chances == 0:
         return 0
-    c_max = max(round(chance_max * season_pct), 1)
+    # c_max = max(round(chance_max * season_pct), 1)
-    # c_max = chance_max
+    c_max = chance_max
     return errors * c_max / chances
 
 

pitchers/calcs_pitcher.py

@@ -540,13 +540,13 @@ def groundball_a(all_gb, dp_rate):
 def balks(total_balks: int, innings: float, season_pct):
     if innings == 0:
         return 0
-    return min(round((total_balks * 290 * season_pct) / innings), 20)
+    return min(round((int(total_balks) * 290 * season_pct) / float(innings)), 20)
 
 
 def wild_pitches(total_wps: int, innings: float, season_pct):
     if innings == 0:
         return 0
-    return min(round((total_wps * 200 * season_pct) / innings), 20)
+    return min(round((int(total_wps) * 200 * season_pct) / float(innings)), 20)
 
 
 def closer_rating(gf: int, saves: int, games: int):