0a17745389
Standardize formatting with black and apply ruff auto-fixes. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
539 lines
20 KiB
Python
539 lines
20 KiB
Python
"""
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Create custom card for Kalin Young
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All-fields outfielder with low pull rate and 0.855 OPS target
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UPGRADED: OPS 0.820 → 0.855 via OBP (HBP +1.0, walks increased)
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Pull rate vL 25% → 33%, vR stays 25%
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Steal rate 0.0833 → 0.22222
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"""
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import asyncio
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from custom_cards.archetype_definitions import BatterArchetype
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from custom_cards.archetype_calculator import (
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BatterRatingCalculator,
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calculate_total_ops,
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)
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from creation_helpers import mlbteam_and_franchise
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from db_calls import db_get, db_put
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from datetime import datetime
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import random
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# AWS Configuration
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AWS_BUCKET_NAME = "paper-dynasty"
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AWS_REGION = "us-east-1"
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S3_BASE_URL = f"https://{AWS_BUCKET_NAME}.s3.{AWS_REGION}.amazonaws.com"
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async def create_kalin_young():
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"""Create Kalin Young custom card."""
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print("=" * 70)
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print("CREATING KALIN YOUNG")
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print("=" * 70)
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# Player details
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name_first = "Kalin"
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name_last = "Young"
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hand = "R" # Right-handed batter (assuming, can adjust if needed)
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team_abbrev = "SEA" # Placeholder team
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positions = ["RF", "LF"] # Outfielder
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# Get team info
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mlb_team_id, franchise_id = mlbteam_and_franchise(team_abbrev)
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# Cardset setup - Always use cardset 29 for custom characters
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cardset_id = 29
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cardset = {"id": cardset_id, "name": "Custom Characters"}
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season = 2005
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player_description = "05 Custom"
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print(
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f"✓ Using cardset ID: {cardset['id']} - Player description: '{player_description}'"
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)
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# Create custom archetype for Kalin Young
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# Target: Combined OPS = 0.855 with formula: (OPS_vR + OPS_vL + min) / 3
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# UPGRADE: Increased OBP via HBP (+1.0) and walks
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# Calibrated to hit exact target after archetype calculator processing
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kalin_young = BatterArchetype(
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name="Kalin Young",
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description="All-fields outfielder with low pull rate, balanced contact and power",
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# VS RHP: Target OPS ~0.815 (OBP ~0.350 + SLG ~0.465) - aiming for 0.855 total
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avg_vs_r=0.240, # Good average
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obp_vs_r=0.350, # UPGRADED OBP (+0.035)
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slg_vs_r=0.435, # Decent power (unchanged)
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bb_pct_vs_r=0.115, # INCREASED walks (0.09 → 0.115)
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k_pct_vs_r=0.21, # Decent contact
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# VS LHP: Target OPS ~0.830 (OBP ~0.365 + SLG ~0.465) - aiming for 0.855 total
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avg_vs_l=0.250, # Better average vs L
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obp_vs_l=0.360, # UPGRADED OBP (+0.035)
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slg_vs_l=0.445, # More power vs L (unchanged)
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bb_pct_vs_l=0.115, # INCREASED walks (0.09 → 0.115)
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k_pct_vs_l=0.20, # Slightly better contact vs L
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# Power distribution - moderate power, balanced
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hr_per_hit=0.09, # Moderate HR rate
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triple_per_hit=0.03, # Some triples (outfield speed)
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double_per_hit=0.26, # Good gap power
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# Singles = 62% of hits
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# Batted ball profile - balanced
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gb_pct=0.43, # Moderate ground balls
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fb_pct=0.34, # Moderate fly balls
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ld_pct=0.23, # Line drives
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# Batted ball quality
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hard_pct=0.36, # Good hard contact
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med_pct=0.46, # Lots of medium contact
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soft_pct=0.18, # Some soft contact
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# Spray chart - LOW PULL RATE (25%)
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pull_pct=0.25, # Low pull (per requirements)
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center_pct=0.40, # High center usage
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oppo_pct=0.35, # Good opposite field usage
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# Infield hits
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ifh_pct=0.07, # Moderate speed for infield hits
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# Specific power metrics
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hr_fb_pct=0.11, # Moderate HR/FB
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# Baserunning - good speed
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speed_rating=6, # Above average speed
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steal_jump=6, # Good reads
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xbt_pct=0.53, # Takes extra bases
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# Situational hitting
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hit_run_skill=7, # Good contact = good hit-and-run
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# Defensive profile
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primary_positions=["RF", "LF"],
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defensive_rating=6, # Above average defender
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)
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print(f"\n✓ Created custom archetype: {kalin_young.name}")
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print(
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f" Base stats vR: {kalin_young.avg_vs_r:.3f}/{kalin_young.obp_vs_r:.3f}/{kalin_young.slg_vs_r:.3f} (OPS: {kalin_young.obp_vs_r + kalin_young.slg_vs_r:.3f})"
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)
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print(
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f" Base stats vL: {kalin_young.avg_vs_l:.3f}/{kalin_young.obp_vs_l:.3f}/{kalin_young.slg_vs_l:.3f} (OPS: {kalin_young.obp_vs_l + kalin_young.slg_vs_l:.3f})"
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)
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# Calculate ratings
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calc = BatterRatingCalculator(kalin_young)
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ratings = calc.calculate_ratings(battingcard_id=0) # Temp ID
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baserunning = calc.calculate_baserunning()
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# Override steal rate to 0.22222 - UPGRADED steal success
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print("\n✓ Setting steal rate to 0.22222 (15-7)...")
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baserunning["steal_jump"] = 0.22222
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baserunning["steal_high"] = 15
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baserunning["steal_low"] = 7
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# Override running to 13
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print("✓ Setting running to 13...")
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baserunning["running"] = 13
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# Apply randomization to make results look more natural
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print("\n✓ Applying randomization (±0.5) and rounding to 0.05...")
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random.seed(42) # For reproducibility
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for rating in ratings:
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# Fields to randomize (exclude exact targets)
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randomize_fields = [
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"homerun",
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"bp_homerun",
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"triple",
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"double_three",
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"double_two",
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"double_pull",
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"single_two",
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"single_one",
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"single_center",
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"walk",
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"hbp",
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"strikeout",
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"lineout",
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"popout",
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"flyout_a",
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"flyout_bq",
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"flyout_lf_b",
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"flyout_rf_b",
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"groundout_a",
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"groundout_b",
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"groundout_c",
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]
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for field in randomize_fields:
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if rating[field] > 0: # Only randomize non-zero values
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randomization = random.uniform(-0.5, 0.5)
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new_value = rating[field] + randomization
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# Round to nearest 0.05
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rating[field] = round(new_value * 20) / 20
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# Ensure non-negative
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rating[field] = max(0.05, rating[field])
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# Fix BP-HR and HBP to whole numbers (CRITICAL RULE)
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# UPGRADE: HBP increased from 1 to 2 both splits
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print("\n✓ Setting BP-HR to whole numbers (2 vL, 1 vR)...")
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print("✓ Setting HBP to whole numbers (2 both splits) - UPGRADED +1.0...")
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print("✓ Removing Triple vL...")
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# vs LHP (ratings[0])
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old_bphr_vl = ratings[0]["bp_homerun"]
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ratings[0]["bp_homerun"] = 2.0
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# Redistribute difference to single_center
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ratings[0]["single_center"] += old_bphr_vl - 2.0
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old_hbp_vl = ratings[0]["hbp"]
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ratings[0]["hbp"] = 2.0 # UPGRADED from 1.0
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# Redistribute difference to outs (since we're adding OBP)
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ratings[0]["groundout_b"] += old_hbp_vl - 2.0
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# Remove triple vL
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old_triple_vl = ratings[0]["triple"]
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ratings[0]["triple"] = 0.0
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# Redistribute to singles
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ratings[0]["single_center"] += old_triple_vl
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# vs RHP (ratings[1])
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old_bphr_vr = ratings[1]["bp_homerun"]
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ratings[1]["bp_homerun"] = 1.0
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# Redistribute difference to single_center
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ratings[1]["single_center"] += old_bphr_vr - 1.0
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old_hbp_vr = ratings[1]["hbp"]
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ratings[1]["hbp"] = 2.0 # UPGRADED from 1.0
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# Redistribute difference to outs (since we're adding OBP)
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ratings[1]["groundout_b"] += old_hbp_vr - 2.0
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# Adjust pull rate: vL to 33%, vR stays at 25%
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print("✓ Adjusting pull rate vL to 33% (vR stays 25%)...")
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ratings[0]["pull_rate"] = 0.33
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ratings[0]["center_rate"] = 0.37 # Reduce center to compensate
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ratings[0]["slap_rate"] = 0.30 # Reduce oppo slightly
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# vR stays at archetype defaults (~25%)
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# Manual adjustments for vL
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print("✓ Manual vL adjustments: HBP -1.0 → BB, K -5.0 → GB-B +3.0, GB-C +2.0...")
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ratings[0]["hbp"] -= 1.0 # 2.0 → 1.0
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ratings[0]["walk"] += 1.0 # Add to BB
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ratings[0]["strikeout"] -= 5.0 # Remove 5.0 K
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ratings[0]["groundout_b"] += 3.0 # Add 3.0 to GB-B
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ratings[0]["groundout_c"] += 2.0 # Add 2.0 to GB-C
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# Fix total chances to exactly 108.0
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for rating in ratings:
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total = sum(
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[
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rating["homerun"],
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rating["bp_homerun"],
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rating["triple"],
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rating["double_three"],
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rating["double_two"],
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rating["double_pull"],
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rating["single_two"],
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rating["single_one"],
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rating["single_center"],
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rating["bp_single"],
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rating["walk"],
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rating["hbp"],
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rating["strikeout"],
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rating["lineout"],
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rating["popout"],
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rating["flyout_a"],
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rating["flyout_bq"],
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rating["flyout_lf_b"],
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rating["flyout_rf_b"],
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rating["groundout_a"],
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rating["groundout_b"],
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rating["groundout_c"],
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]
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)
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diff = 108.0 - total
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if abs(diff) > 0.01:
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# Add/subtract the difference to groundout_b (most common out type)
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rating["groundout_b"] += diff
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rating["groundout_b"] = round(rating["groundout_b"] * 20) / 20
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# Recalculate rate stats (BP results multiply by 0.5 for AVG/OBP only)
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for rating in ratings:
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total_hits = (
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rating["homerun"]
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+ rating["bp_homerun"] * 0.5
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+ rating["triple"]
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+ rating["double_three"]
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+ rating["double_two"]
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+ rating["double_pull"]
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+ rating["single_two"]
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+ rating["single_one"]
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+ rating["single_center"]
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+ rating["bp_single"] * 0.5
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)
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rating["avg"] = round(total_hits / 108, 5)
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rating["obp"] = round((total_hits + rating["hbp"] + rating["walk"]) / 108, 5)
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# SLG: BP-HR gets 2 bases, BP-1B gets 1 base
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rating["slg"] = round(
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(
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rating["homerun"] * 4
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+ rating["bp_homerun"] * 2
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+ rating["triple"] * 3
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+ (
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rating["double_two"]
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+ rating["double_three"]
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+ rating["double_pull"]
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)
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* 2
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+ rating["single_center"]
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+ rating["single_two"]
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+ rating["single_one"]
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+ rating["bp_single"]
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)
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/ 108,
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5,
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)
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# Display adjusted ratings
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print("\n" + "=" * 70)
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print("FINAL RATINGS (TWO-COLUMN TABLE)")
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print("=" * 70)
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# Two-column table display
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vl = ratings[0] # vs LHP
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vr = ratings[1] # vs RHP
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print(f"\n{'RATING':<25} {'VS LHP':>12} {'VS RHP':>12}")
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print("-" * 50)
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print(f"{'AVG':<25} {vl['avg']:>12.3f} {vr['avg']:>12.3f}")
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print(f"{'OBP':<25} {vl['obp']:>12.3f} {vr['obp']:>12.3f}")
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print(f"{'SLG':<25} {vl['slg']:>12.3f} {vr['slg']:>12.3f}")
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print(f"{'OPS':<25} {vl['obp']+vl['slg']:>12.3f} {vr['obp']+vr['slg']:>12.3f}")
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print()
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print(f"{'HITS':<25}")
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print(f"{' Homerun':<25} {vl['homerun']:>12.1f} {vr['homerun']:>12.1f}")
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print(f"{' BP Homerun':<25} {vl['bp_homerun']:>12.1f} {vr['bp_homerun']:>12.1f}")
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print(f"{' Triple':<25} {vl['triple']:>12.1f} {vr['triple']:>12.1f}")
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print(
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f"{' Double (3B)':<25} {vl['double_three']:>12.1f} {vr['double_three']:>12.1f}"
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)
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print(f"{' Double (2B)':<25} {vl['double_two']:>12.1f} {vr['double_two']:>12.1f}")
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print(
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f"{' Double (Pull)':<25} {vl['double_pull']:>12.1f} {vr['double_pull']:>12.1f}"
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)
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print(f"{' Single (2B)':<25} {vl['single_two']:>12.1f} {vr['single_two']:>12.1f}")
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print(f"{' Single (1B)':<25} {vl['single_one']:>12.1f} {vr['single_one']:>12.1f}")
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print(
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f"{' Single (Center)':<25} {vl['single_center']:>12.1f} {vr['single_center']:>12.1f}"
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)
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print(f"{' BP Single':<25} {vl['bp_single']:>12.1f} {vr['bp_single']:>12.1f}")
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print()
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print(f"{'ON-BASE':<25}")
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print(f"{' Walk':<25} {vl['walk']:>12.1f} {vr['walk']:>12.1f}")
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print(f"{' HBP':<25} {vl['hbp']:>12.1f} {vr['hbp']:>12.1f}")
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print()
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print(f"{'OUTS':<25}")
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print(f"{' Strikeout':<25} {vl['strikeout']:>12.1f} {vr['strikeout']:>12.1f}")
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print(f"{' Lineout':<25} {vl['lineout']:>12.1f} {vr['lineout']:>12.1f}")
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print(f"{' Popout':<25} {vl['popout']:>12.1f} {vr['popout']:>12.1f}")
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print(f"{' Flyout A':<25} {vl['flyout_a']:>12.1f} {vr['flyout_a']:>12.1f}")
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print(f"{' Flyout BQ':<25} {vl['flyout_bq']:>12.1f} {vr['flyout_bq']:>12.1f}")
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print(
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f"{' Flyout LF B':<25} {vl['flyout_lf_b']:>12.1f} {vr['flyout_lf_b']:>12.1f}"
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)
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print(
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f"{' Flyout RF B':<25} {vl['flyout_rf_b']:>12.1f} {vr['flyout_rf_b']:>12.1f}"
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)
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print(
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f"{' Groundout A':<25} {vl['groundout_a']:>12.1f} {vr['groundout_a']:>12.1f}"
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)
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print(
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f"{' Groundout B':<25} {vl['groundout_b']:>12.1f} {vr['groundout_b']:>12.1f}"
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)
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print(
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f"{' Groundout C':<25} {vl['groundout_c']:>12.1f} {vr['groundout_c']:>12.1f}"
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)
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print()
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print(f"{'SPRAY CHART':<25}")
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print(f"{' Pull %':<25} {vl['pull_rate']:>11.1%} {vr['pull_rate']:>11.1%}")
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print(f"{' Center %':<25} {vl['center_rate']:>11.1%} {vr['center_rate']:>11.1%}")
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print(f"{' Opposite %':<25} {vl['slap_rate']:>11.1%} {vr['slap_rate']:>11.1%}")
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print()
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# Calculate totals
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total_vl = sum(
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[
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vl["homerun"],
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vl["bp_homerun"],
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vl["triple"],
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vl["double_three"],
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vl["double_two"],
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vl["double_pull"],
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vl["single_two"],
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vl["single_one"],
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vl["single_center"],
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vl["bp_single"],
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vl["walk"],
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vl["hbp"],
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vl["strikeout"],
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vl["lineout"],
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vl["popout"],
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vl["flyout_a"],
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vl["flyout_bq"],
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vl["flyout_lf_b"],
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vl["flyout_rf_b"],
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vl["groundout_a"],
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vl["groundout_b"],
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vl["groundout_c"],
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]
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)
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total_vr = sum(
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[
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vr["homerun"],
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vr["bp_homerun"],
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vr["triple"],
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vr["double_three"],
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vr["double_two"],
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vr["double_pull"],
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vr["single_two"],
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vr["single_one"],
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vr["single_center"],
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vr["bp_single"],
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vr["walk"],
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vr["hbp"],
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vr["strikeout"],
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vr["lineout"],
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vr["popout"],
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vr["flyout_a"],
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vr["flyout_bq"],
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vr["flyout_lf_b"],
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vr["flyout_rf_b"],
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vr["groundout_a"],
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vr["groundout_b"],
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vr["groundout_c"],
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]
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)
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print(f"{'TOTAL CHANCES':<25} {total_vl:>12.1f} {total_vr:>12.1f}")
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print("-" * 50)
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# Calculate and display total OPS
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total_ops = calculate_total_ops(ratings[0], ratings[1], is_pitcher=False)
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print(f"\nTotal OPS: {total_ops:.3f} (Target: 0.855)")
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print("\nBaserunning:")
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print(
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f" Steal: {baserunning['steal_low']}-{baserunning['steal_high']} (Auto: {baserunning['steal_auto']}, Jump: {baserunning['steal_jump']})"
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)
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print(
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f" Running: {baserunning['running']} Hit-and-Run: {baserunning['hit_and_run']}"
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)
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# Summary
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print("\n" + "=" * 70)
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print("SUMMARY")
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print("=" * 70)
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print(f"\nPlayer: Kalin Young ({hand})")
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print("Positions: RF (primary), LF (secondary)")
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print("Cardset: 29 (Custom Characters)")
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print("Description: 05 Custom")
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print(f"Total OPS: {total_ops:.3f} / 0.855 target")
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print(
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f"Pull Rate: vL={vl['pull_rate']*100:.0f}% (target 33%) / vR={vr['pull_rate']*100:.0f}% (target 25%)"
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)
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print("\n" + "=" * 70)
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print("DATABASE UPDATE (BattingCard + Ratings ONLY)")
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print("=" * 70)
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# Set bunting to C (average)
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baserunning["bunting"] = "C"
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print("\n✓ Bunting set to: C")
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|
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# Create database records
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bbref_id = f"custom_{name_last.lower()}{name_first[0].lower()}01"
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now = datetime.now()
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release_date = f"{now.year}-{now.month}-{now.day}"
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# Step 1: Look up existing Player record (NO POST/PATCH)
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print("\n✓ Looking up existing Player record (READ ONLY)...")
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p_query = await db_get(
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"players", params=[("bbref_id", bbref_id), ("cardset_id", cardset["id"])]
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)
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if p_query and p_query.get("count", 0) > 0:
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player_id = p_query["players"][0]["player_id"]
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print(f" Found existing Player ID: {player_id}")
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print(" (Skipping Player POST/PATCH per user request)")
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else:
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print(
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" ERROR: Player not found! Cannot update BattingCard without player_id."
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|
)
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print(f" Searched for bbref_id={bbref_id}, cardset_id={cardset['id']}")
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return
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|
|
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# Step 2: Update BattingCard
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print("\n✓ Updating BattingCard...")
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batting_card_payload = {
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"cards": [
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{
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"player_id": player_id,
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"key_bbref": bbref_id,
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|
"key_fangraphs": 0,
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"key_mlbam": 0,
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"key_retro": "",
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"name_first": name_first,
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"name_last": name_last,
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"steal_low": baserunning["steal_low"],
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"steal_high": baserunning["steal_high"],
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"steal_auto": baserunning["steal_auto"],
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"steal_jump": baserunning["steal_jump"],
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"hit_and_run": baserunning["hit_and_run"],
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|
"running": baserunning["running"],
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"hand": hand,
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"bunting": baserunning["bunting"],
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|
}
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|
]
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|
}
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|
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await db_put("battingcards", payload=batting_card_payload, timeout=10)
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print(" BattingCard updated")
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|
|
|
# Get the card ID
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bc_query = await db_get("battingcards", params=[("player_id", player_id)])
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battingcard_id = bc_query["cards"][0]["id"]
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print(f" BattingCard ID: {battingcard_id}")
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|
|
|
# Step 3: Update BattingCardRatings
|
|
print("\n✓ Updating BattingCardRatings...")
|
|
for rating in ratings:
|
|
rating["battingcard_id"] = battingcard_id
|
|
|
|
ratings_payload = {"ratings": ratings}
|
|
await db_put("battingcardratings", payload=ratings_payload, timeout=10)
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|
print(" Ratings updated (vL and vR)")
|
|
|
|
# Skipped: CardPositions (per user request - only BattingCard + Ratings)
|
|
print("\n✓ Skipping CardPositions update (per user request)")
|
|
|
|
# Skipped: Rarity/Cost update (per user request - no Player PATCH)
|
|
print("✓ Skipping rarity/cost update (per user request)")
|
|
|
|
# Card preview URL
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|
print("\n✓ Skipping card image generation and S3 upload (will do after review)...")
|
|
api_image_url = f"https://pd.manticorum.com/api/v2/players/{player_id}/battingcard?d={release_date}"
|
|
s3_url = f"https://{AWS_BUCKET_NAME}.s3.{AWS_REGION}.amazonaws.com/cards/cardset-{cardset['id']:03d}/player-{player_id}/battingcard.png?d={release_date}"
|
|
print(f" Card preview URL: {api_image_url}")
|
|
print(f" Future S3 URL: {s3_url}")
|
|
|
|
print("\n" + "=" * 70)
|
|
print("✅ SUCCESS!")
|
|
print("=" * 70)
|
|
print("\nKalin Young BattingCard + Ratings UPGRADED successfully!")
|
|
print(f" Player ID: {player_id} (unchanged)")
|
|
print(f" BattingCard ID: {battingcard_id}")
|
|
print(" Bunting: C")
|
|
print(f" Running: {baserunning['running']}")
|
|
print(
|
|
f" Stealing: {baserunning['steal_low']}-{baserunning['steal_high']} ({baserunning['steal_jump']:.5f})"
|
|
)
|
|
print(" Pull Rate: vL=33% / vR=25%")
|
|
print(" HBP: vL=1.0 / vR=2.0")
|
|
print(f" Total OPS: {total_ops:.3f} (target: 0.855)")
|
|
print("\n Updated: BattingCard, BattingCardRatings")
|
|
print(" Skipped: Player, CardPositions (per user request)")
|
|
print(f"\n Card Preview URL: {api_image_url}")
|
|
print(" (Image not yet uploaded to S3 - awaiting review)")
|
|
print("\n" + "=" * 70)
|
|
|
|
|
|
if __name__ == "__main__":
|
|
asyncio.run(create_kalin_young())
|