Update calcs_defense.py
Adding error checking for defense
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Cal Corum
parent
585b036969
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68270781a1
@ -18,106 +18,118 @@ async def create_positions(
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no_data = True
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for pos_data in [(df_1b, '1b'), (df_2b, '2b'), (df_3b, '3b'), (df_ss, 'ss')]:
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if df_data['key_bbref'] in pos_data[0].index:
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logging.debug(f'Running {pos_data[1]} stats for {df_data["p_name"]}')
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no_data = False
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average_range = (int(pos_data[0].at[df_data["key_bbref"], 'tz_runs_total']) +
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int(pos_data[0].at[df_data["key_bbref"], 'bis_runs_total']) +
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min(
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int(pos_data[0].at[df_data["key_bbref"], 'tz_runs_total']),
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int(pos_data[0].at[df_data["key_bbref"], 'bis_runs_total'])
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)) / 3
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logging.info(f'Running {pos_data[1]} stats for {df_data["p_name"]}')
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try:
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average_range = (int(pos_data[0].at[df_data["key_bbref"], 'tz_runs_total']) +
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int(pos_data[0].at[df_data["key_bbref"], 'bis_runs_total']) +
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min(
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int(pos_data[0].at[df_data["key_bbref"], 'tz_runs_total']),
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int(pos_data[0].at[df_data["key_bbref"], 'bis_runs_total'])
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)) / 3
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position_payload.append({
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"player_id": int(df_data['player_id']),
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"position": pos_data[1].upper(),
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"innings": float(pos_data[0].at[df_data["key_bbref"], 'Inn_def']),
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"range": get_if_range(
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pos_code=pos_data[1],
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tz_runs=round(average_range),
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r_dp=0,
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season_pct=season_pct
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),
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"error": get_any_error(
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pos_code=pos_data[1],
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errors=int(pos_data[0].at[df_data["key_bbref"], 'E_def']),
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chances=int(pos_data[0].at[df_data["key_bbref"], 'chances']),
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season_pct=season_pct
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)
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})
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position_payload.append({
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"player_id": int(df_data['player_id']),
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"position": pos_data[1].upper(),
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"innings": float(pos_data[0].at[df_data["key_bbref"], 'Inn_def']),
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"range": get_if_range(
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pos_code=pos_data[1],
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tz_runs=round(average_range),
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r_dp=0,
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season_pct=season_pct
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),
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"error": get_any_error(
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pos_code=pos_data[1],
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errors=int(pos_data[0].at[df_data["key_bbref"], 'E_def']),
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chances=int(pos_data[0].at[df_data["key_bbref"], 'chances']),
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season_pct=season_pct
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)
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})
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no_data = False
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except Exception as e:
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logging.info(f'Infield position failed: {e}')
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of_arms = []
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of_payloads = []
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for pos_data in [(df_lf, 'lf'), (df_cf, 'cf'), (df_rf, 'rf')]:
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if df_data["key_bbref"] in pos_data[0].index:
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try:
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average_range = (int(pos_data[0].at[df_data["key_bbref"], 'tz_runs_total']) +
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int(pos_data[0].at[df_data["key_bbref"], 'bis_runs_total']) +
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min(
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int(pos_data[0].at[df_data["key_bbref"], 'tz_runs_total']),
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int(pos_data[0].at[df_data["key_bbref"], 'bis_runs_total'])
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)) / 3
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of_payloads.append({
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"player_id": int(df_data['player_id']),
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"position": pos_data[1].upper(),
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"innings": float(pos_data[0].at[df_data["key_bbref"], 'Inn_def']),
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"range": get_of_range(
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pos_code=pos_data[1],
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tz_runs=round(average_range),
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season_pct=season_pct
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)
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})
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of_arms.append(int(pos_data[0].at[df_data["key_bbref"], 'bis_runs_outfield']))
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no_data = False
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except Exception as e:
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logging.info(f'Outfield position failed: {e}')
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if df_data["key_bbref"] in df_of.index and len(of_arms) > 0 and len(of_payloads) > 0:
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try:
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error_rating = get_any_error(
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pos_code=pos_data[1],
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errors=int(df_of.at[df_data["key_bbref"], 'E_def']),
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chances=int(df_of.at[df_data["key_bbref"], 'chances']),
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season_pct=season_pct
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)
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arm_rating = arm_outfield(of_arms)
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for f in of_payloads:
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f['error'] = error_rating
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f['arm'] = arm_rating
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position_payload.append(f)
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no_data = False
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average_range = (int(pos_data[0].at[df_data["key_bbref"], 'tz_runs_total']) +
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int(pos_data[0].at[df_data["key_bbref"], 'bis_runs_total']) +
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min(
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int(pos_data[0].at[df_data["key_bbref"], 'tz_runs_total']),
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int(pos_data[0].at[df_data["key_bbref"], 'bis_runs_total'])
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)) / 3
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of_payloads.append({
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except Exception as e:
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logging.info(f'Outfield position failed: {e}')
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if df_data["key_bbref"] in df_c.index:
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try:
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if df_c.at[df_data["key_bbref"], 'SB'] + df_c.at[df_data["key_bbref"], 'CS'] == 0:
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arm_rating = 3
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else:
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arm_rating = arm_catcher(
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cs_pct=df_c.at[df_data["key_bbref"], 'caught_stealing_perc'],
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raa=int(df_c.at[df_data["key_bbref"], 'bis_runs_catcher_sb']),
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season_pct=season_pct
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)
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position_payload.append({
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"player_id": int(df_data['player_id']),
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"position": pos_data[1].upper(),
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"innings": float(pos_data[0].at[df_data["key_bbref"], 'Inn_def']),
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"range": get_of_range(
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pos_code=pos_data[1],
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tz_runs=round(average_range),
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"position": 'C',
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"innings": float(df_c.at[df_data["key_bbref"], 'Inn_def']),
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"range": range_catcher(
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rs_value=int(df_c.at[df_data["key_bbref"], 'tz_runs_catcher']),
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season_pct=season_pct
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),
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"error": get_any_error(
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pos_code='c',
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errors=int(df_c.at[df_data["key_bbref"], 'E_def']),
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chances=int(df_c.at[df_data["key_bbref"], 'chances']),
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season_pct=season_pct
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),
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"arm": arm_rating,
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"pb": pb_catcher(
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pb=int(df_c.at[df_data["key_bbref"], 'PB']),
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innings=int(float(df_c.at[df_data["key_bbref"], 'Inn_def'])),
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season_pct=season_pct
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),
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"overthrow": ot_catcher(
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errors=int(df_c.at[df_data["key_bbref"], 'E_def']),
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chances=int(df_c.at[df_data["key_bbref"], 'chances']),
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season_pct=season_pct
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)
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})
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of_arms.append(int(pos_data[0].at[df_data["key_bbref"], 'bis_runs_outfield']))
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if df_data["key_bbref"] in df_of.index and len(of_arms) > 0 and len(of_payloads) > 0:
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no_data = False
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error_rating = get_any_error(
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pos_code=pos_data[1],
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errors=int(df_of.at[df_data["key_bbref"], 'E_def']),
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chances=int(df_of.at[df_data["key_bbref"], 'chances']),
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season_pct=season_pct
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)
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arm_rating = arm_outfield(of_arms)
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for f in of_payloads:
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f['error'] = error_rating
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f['arm'] = arm_rating
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position_payload.append(f)
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if df_data["key_bbref"] in df_c.index:
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if df_c.at[df_data["key_bbref"], 'SB'] + df_c.at[df_data["key_bbref"], 'CS'] == 0:
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arm_rating = 3
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else:
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arm_rating = arm_catcher(
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cs_pct=df_c.at[df_data["key_bbref"], 'caught_stealing_perc'],
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raa=int(df_c.at[df_data["key_bbref"], 'bis_runs_catcher_sb']),
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season_pct=season_pct
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)
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no_data = False
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position_payload.append({
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"player_id": int(df_data['player_id']),
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"position": 'C',
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"innings": float(df_c.at[df_data["key_bbref"], 'Inn_def']),
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"range": range_catcher(
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rs_value=int(df_c.at[df_data["key_bbref"], 'tz_runs_catcher']),
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season_pct=season_pct
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),
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"error": get_any_error(
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pos_code='c',
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errors=int(df_c.at[df_data["key_bbref"], 'E_def']),
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chances=int(df_c.at[df_data["key_bbref"], 'chances']),
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season_pct=season_pct
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),
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"arm": arm_rating,
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"pb": pb_catcher(
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pb=int(df_c.at[df_data["key_bbref"], 'PB']),
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innings=int(float(df_c.at[df_data["key_bbref"], 'Inn_def'])),
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season_pct=season_pct
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),
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"overthrow": ot_catcher(
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errors=int(df_c.at[df_data["key_bbref"], 'E_def']),
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chances=int(df_c.at[df_data["key_bbref"], 'chances']),
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season_pct=season_pct
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)
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})
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no_data = False
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except Exception as e:
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logging.info(f'Catcher position failed: {e}')
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if no_data:
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position_payload.append({
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@ -215,7 +227,7 @@ def range_shortstop(tz_runs: int, r_dp: int, season_pct: float):
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def get_if_range(pos_code: str, tz_runs: int, r_dp: int, season_pct: float):
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logging.debug(f'pos: {pos_code} / tz_runs: {tz_runs} ({type(tz_runs)})')
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logging.info(f'pos: {pos_code} / tz_runs: {tz_runs} ({type(tz_runs)})')
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if pos_code == '1b':
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return range_first_base(tz_runs, 0, season_pct)
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elif pos_code == '2b':
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