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paper-dynasty-card-creation/create_valerie_theolia.py
Cal Corum 2081a8f0ac Custom card creation work
2025-11-14 09:51:04 -06:00

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"""
Create custom card for Valerie-Hecate Theolia
Left-handed contact-hitting catcher with 0.855 OPS target
"""
import asyncio
from custom_cards.archetype_definitions import get_archetype
from custom_cards.archetype_calculator import BatterRatingCalculator, calculate_total_ops
from creation_helpers import mlbteam_and_franchise
from db_calls import db_get, db_post, db_put, db_patch
from datetime import datetime
import boto3
# AWS Configuration
AWS_BUCKET_NAME = 'paper-dynasty'
AWS_REGION = 'us-east-1'
S3_BASE_URL = f'https://{AWS_BUCKET_NAME}.s3.{AWS_REGION}.amazonaws.com'
async def create_valerie_theolia():
"""Create Valerie-Hecate Theolia custom card."""
print("="*70)
print("CREATING VALERIE-HECATE THEOLIA")
print("="*70)
# Player details
name_first = "Valerie-Hecate"
name_last = "Theolia"
hand = "L" # Left-handed batter
team_abbrev = "NYY" # New York Yankees (placeholder - user can specify)
positions = ["C"] # Catcher
# Get team info
mlb_team_id, franchise_id = mlbteam_and_franchise(team_abbrev)
# Cardset setup - Always use cardset 29 for custom characters
cardset_id = 29
cardset = {'id': cardset_id, 'name': 'Custom Characters'}
season = 2005
player_description = "05 Custom"
print(f"✓ Using cardset ID: {cardset['id']} - Player description: '{player_description}'")
# Start with Contact Hitter archetype and boost to 0.855 OPS
archetype = get_archetype('batter', 'contact_hitter')
print(f"\n✓ Using archetype: {archetype.name}")
print(f" Base stats: {archetype.avg_vs_r:.3f}/{archetype.obp_vs_r:.3f}/{archetype.slg_vs_r:.3f}")
# Boost stats to reach 0.855 OPS target
# Need to increase from 0.787 to 0.855 (+0.068)
# Increase AVG, OBP, and SLG for both splits
print(f"\n✓ Boosting stats to reach 0.855 OPS target...")
# Adjust archetype stats to reach 0.855 target (accounting for BP * 0.5 in AVG, full in SLG)
# Tuning with corrected SLG formula - need to reduce SLG more
archetype.avg_vs_r = 0.289
archetype.obp_vs_r = 0.350
archetype.slg_vs_r = 0.435
archetype.avg_vs_l = 0.279
archetype.obp_vs_l = 0.340
archetype.slg_vs_l = 0.420
print(f" Adjusted vR: {archetype.avg_vs_r:.3f}/{archetype.obp_vs_r:.3f}/{archetype.slg_vs_r:.3f} (OPS: {archetype.obp_vs_r + archetype.slg_vs_r:.3f})")
print(f" Adjusted vL: {archetype.avg_vs_l:.3f}/{archetype.obp_vs_l:.3f}/{archetype.slg_vs_l:.3f} (OPS: {archetype.obp_vs_l + archetype.slg_vs_l:.3f})")
# Calculate adjusted ratings
calc = BatterRatingCalculator(archetype)
ratings = calc.calculate_ratings(battingcard_id=0) # Temp ID
baserunning = calc.calculate_baserunning()
# Override steal rate to 0.05555555
print(f"\n✓ Setting steal rate to 0.05555555...")
# Very low steal rate
baserunning['steal_jump'] = 0.05555555
# With 5.555% success rate, approximate values:
baserunning['steal_high'] = 11
baserunning['steal_low'] = 7
# Manual adjustments for power distribution
print(f"\n✓ Applying power distribution adjustments...")
print(f" Setting HR to 0.0 for both sides")
print(f" Setting BP-HR to 0.0 vL, 1.0 vR")
# vL (ratings[0])
old_hr_vl = ratings[0]['homerun']
old_bphr_vl = ratings[0]['bp_homerun']
ratings[0]['homerun'] = 0.0
ratings[0]['bp_homerun'] = 0.0
# Redistribute to singles (not doubles) to reduce SLG
redistrib_vl = old_hr_vl + old_bphr_vl
ratings[0]['single_center'] += redistrib_vl
# vR (ratings[1])
old_hr_vr = ratings[1]['homerun']
old_bphr_vr = ratings[1]['bp_homerun']
ratings[1]['homerun'] = 0.0
ratings[1]['bp_homerun'] = 1.0
# Redistribute excess to singles (not doubles) to maintain total chances and reduce SLG
redistrib_vr = old_hr_vr + (old_bphr_vr - 1.0)
ratings[1]['single_center'] += redistrib_vr
# Apply randomization to make results look more natural
# Randomize all non-HR and non-BP-single results by ±0.5
import random
print(f"\n✓ Applying randomization (±0.5) and rounding to 0.05...")
for rating in ratings:
# Fields to randomize (exclude homerun, bp_homerun for vR if it's exactly 1.0, and bp_single)
randomize_fields = [
'triple', 'double_three', 'double_two', 'double_pull',
'single_two', 'single_one', 'single_center',
'walk', 'hbp', 'strikeout', 'lineout', 'popout',
'flyout_a', 'flyout_bq', 'flyout_lf_b', 'flyout_rf_b',
'groundout_a', 'groundout_b', 'groundout_c'
]
# Only randomize bp_homerun if it's not exactly 1.0 (our target value)
if rating['bp_homerun'] != 1.0:
randomize_fields.insert(0, 'bp_homerun')
for field in randomize_fields:
if rating[field] > 0: # Only randomize non-zero values
randomization = random.uniform(-0.5, 0.5)
new_value = rating[field] + randomization
# Round to nearest 0.05
rating[field] = round(new_value * 20) / 20
# Ensure non-negative
rating[field] = max(0.05, rating[field])
# Remove all triples
print(f"\n✓ Removing all triples...")
for rating in ratings:
triple_value = rating['triple']
rating['triple'] = 0.0
# Redistribute to doubles (maintain gap power)
rating['double_two'] += triple_value
rating['double_two'] = round(rating['double_two'] * 20) / 20
print(f" Triples removed and redistributed to doubles")
# Adjust groundball distribution
print(f"\n✓ Adjusting groundball distribution...")
# vL (ratings[0]): Distribute half of gbC to gbA and gbB
vl_gbc_half = ratings[0]['groundout_c'] / 2
vl_redistrib = vl_gbc_half / 2
ratings[0]['groundout_a'] += vl_redistrib
ratings[0]['groundout_b'] += vl_redistrib
ratings[0]['groundout_c'] -= vl_gbc_half
# vR (ratings[1]): Transfer 1.0 from gbC to both gbA and gbB
ratings[1]['groundout_a'] += 1.0
ratings[1]['groundout_b'] += 1.0
ratings[1]['groundout_c'] -= 2.0
# Round to 0.05
for rating in ratings:
rating['groundout_a'] = round(rating['groundout_a'] * 20) / 20
rating['groundout_b'] = round(rating['groundout_b'] * 20) / 20
rating['groundout_c'] = round(rating['groundout_c'] * 20) / 20
print(f" vL: gbA={ratings[0]['groundout_a']:.2f}, gbB={ratings[0]['groundout_b']:.2f}, gbC={ratings[0]['groundout_c']:.2f}")
print(f" vR: gbA={ratings[1]['groundout_a']:.2f}, gbB={ratings[1]['groundout_b']:.2f}, gbC={ratings[1]['groundout_c']:.2f}")
# Fix total chances to exactly 108.0
for rating in ratings:
total = sum([
rating['homerun'], rating['bp_homerun'], rating['triple'],
rating['double_three'], rating['double_two'], rating['double_pull'],
rating['single_two'], rating['single_one'], rating['single_center'], rating['bp_single'],
rating['walk'], rating['hbp'], rating['strikeout'], rating['lineout'], rating['popout'],
rating['flyout_a'], rating['flyout_bq'], rating['flyout_lf_b'], rating['flyout_rf_b'],
rating['groundout_a'], rating['groundout_b'], rating['groundout_c']
])
diff = 108.0 - total
if abs(diff) > 0.01:
# Add/subtract the difference to groundout_b (most common out type)
rating['groundout_b'] += diff
rating['groundout_b'] = round(rating['groundout_b'] * 20) / 20
# Recalculate rate stats (BP results multiply by 0.5 for AVG/OBP only)
for rating in ratings:
total_hits = (
rating['homerun'] + rating['bp_homerun'] * 0.5 + rating['triple'] +
rating['double_three'] + rating['double_two'] + rating['double_pull'] +
rating['single_two'] + rating['single_one'] + rating['single_center'] + rating['bp_single'] * 0.5
)
rating['avg'] = round(total_hits / 108, 5)
rating['obp'] = round((total_hits + rating['hbp'] + rating['walk']) / 108, 5)
# SLG: BP-HR gets 2 bases (not 0.5*2), BP-1B gets 1 base (not 0.5*1)
rating['slg'] = round((
rating['homerun'] * 4 + rating['bp_homerun'] * 2 +
rating['triple'] * 3 +
(rating['double_two'] + rating['double_three'] + rating['double_pull']) * 2 +
rating['single_center'] + rating['single_two'] + rating['single_one'] + rating['bp_single']
) / 108, 5)
# Display adjusted ratings
print("\n" + "="*70)
print("FINAL RATINGS (TWO-COLUMN TABLE)")
print("="*70)
# Two-column table display
vl = ratings[0]
vr = ratings[1]
print(f"\n{'RATING':<25} {'VS LHP':>12} {'VS RHP':>12}")
print("-" * 50)
print(f"{'AVG':<25} {vl['avg']:>12.3f} {vr['avg']:>12.3f}")
print(f"{'OBP':<25} {vl['obp']:>12.3f} {vr['obp']:>12.3f}")
print(f"{'SLG':<25} {vl['slg']:>12.3f} {vr['slg']:>12.3f}")
print(f"{'OPS':<25} {vl['obp']+vl['slg']:>12.3f} {vr['obp']+vr['slg']:>12.3f}")
print()
print(f"{'HITS':<25}")
print(f"{' Homerun':<25} {vl['homerun']:>12.1f} {vr['homerun']:>12.1f}")
print(f"{' BP Homerun':<25} {vl['bp_homerun']:>12.1f} {vr['bp_homerun']:>12.1f}")
print(f"{' Triple':<25} {vl['triple']:>12.1f} {vr['triple']:>12.1f}")
print(f"{' Double (3B)':<25} {vl['double_three']:>12.1f} {vr['double_three']:>12.1f}")
print(f"{' Double (2B)':<25} {vl['double_two']:>12.1f} {vr['double_two']:>12.1f}")
print(f"{' Double (Pull)':<25} {vl['double_pull']:>12.1f} {vr['double_pull']:>12.1f}")
print(f"{' Single (2B)':<25} {vl['single_two']:>12.1f} {vr['single_two']:>12.1f}")
print(f"{' Single (1B)':<25} {vl['single_one']:>12.1f} {vr['single_one']:>12.1f}")
print(f"{' Single (Center)':<25} {vl['single_center']:>12.1f} {vr['single_center']:>12.1f}")
print(f"{' BP Single':<25} {vl['bp_single']:>12.1f} {vr['bp_single']:>12.1f}")
print()
print(f"{'ON-BASE':<25}")
print(f"{' Walk':<25} {vl['walk']:>12.1f} {vr['walk']:>12.1f}")
print(f"{' HBP':<25} {vl['hbp']:>12.1f} {vr['hbp']:>12.1f}")
print()
print(f"{'OUTS':<25}")
print(f"{' Strikeout':<25} {vl['strikeout']:>12.1f} {vr['strikeout']:>12.1f}")
print(f"{' Lineout':<25} {vl['lineout']:>12.1f} {vr['lineout']:>12.1f}")
print(f"{' Popout':<25} {vl['popout']:>12.1f} {vr['popout']:>12.1f}")
print(f"{' Flyout A':<25} {vl['flyout_a']:>12.1f} {vr['flyout_a']:>12.1f}")
print(f"{' Flyout BQ':<25} {vl['flyout_bq']:>12.1f} {vr['flyout_bq']:>12.1f}")
print(f"{' Flyout LF B':<25} {vl['flyout_lf_b']:>12.1f} {vr['flyout_lf_b']:>12.1f}")
print(f"{' Flyout RF B':<25} {vl['flyout_rf_b']:>12.1f} {vr['flyout_rf_b']:>12.1f}")
print(f"{' Groundout A':<25} {vl['groundout_a']:>12.1f} {vr['groundout_a']:>12.1f}")
print(f"{' Groundout B':<25} {vl['groundout_b']:>12.1f} {vr['groundout_b']:>12.1f}")
print(f"{' Groundout C':<25} {vl['groundout_c']:>12.1f} {vr['groundout_c']:>12.1f}")
print()
print(f"{'SPRAY CHART':<25}")
print(f"{' Pull %':<25} {vl['pull_rate']:>11.1%} {vr['pull_rate']:>11.1%}")
print(f"{' Center %':<25} {vl['center_rate']:>11.1%} {vr['center_rate']:>11.1%}")
print(f"{' Opposite %':<25} {vl['slap_rate']:>11.1%} {vr['slap_rate']:>11.1%}")
print()
# Calculate totals
total_vl = sum([
vl['homerun'], vl['bp_homerun'], vl['triple'],
vl['double_three'], vl['double_two'], vl['double_pull'],
vl['single_two'], vl['single_one'], vl['single_center'], vl['bp_single'],
vl['walk'], vl['hbp'], vl['strikeout'], vl['lineout'], vl['popout'],
vl['flyout_a'], vl['flyout_bq'], vl['flyout_lf_b'], vl['flyout_rf_b'],
vl['groundout_a'], vl['groundout_b'], vl['groundout_c']
])
total_vr = sum([
vr['homerun'], vr['bp_homerun'], vr['triple'],
vr['double_three'], vr['double_two'], vr['double_pull'],
vr['single_two'], vr['single_one'], vr['single_center'], vr['bp_single'],
vr['walk'], vr['hbp'], vr['strikeout'], vr['lineout'], vr['popout'],
vr['flyout_a'], vr['flyout_bq'], vr['flyout_lf_b'], vr['flyout_rf_b'],
vr['groundout_a'], vr['groundout_b'], vr['groundout_c']
])
print(f"{'TOTAL CHANCES':<25} {total_vl:>12.1f} {total_vr:>12.1f}")
print("-" * 50)
# Calculate and display total OPS
total_ops = calculate_total_ops(ratings[0], ratings[1], is_pitcher=False)
print(f"\nTotal OPS: {total_ops:.3f} (Target: 0.855)")
print(f"\nBaserunning:")
print(f" Steal: {baserunning['steal_low']}-{baserunning['steal_high']} (Auto: {baserunning['steal_auto']}, Jump: {baserunning['steal_jump']})")
print(f" Running: {baserunning['running']} Hit-and-Run: {baserunning['hit_and_run']}")
# Summary
print("\n" + "="*70)
print("SUMMARY")
print("="*70)
print(f"\nPlayer: Valerie-Hecate Theolia (L)")
print(f"Position: C (Catcher)")
print(f"Cardset: 29 (Custom Characters)")
print(f"Description: 05 Custom")
print(f"Total OPS: {total_ops:.3f} / 0.855 target")
print(f"\nGB Distribution Check:")
print(f" vL: gbA={ratings[0]['groundout_a']:.1f} < gbB={ratings[0]['groundout_b']:.1f} ✓")
print(f" vR: gbA={ratings[1]['groundout_a']:.1f} < gbB={ratings[1]['groundout_b']:.1f} ✓")
print("\n" + "="*70)
print("DATABASE CREATION")
print("="*70)
# Set bunting to A
baserunning['bunting'] = 'A'
print(f"\n✓ Bunting set to: A")
# Create database records
bbref_id = f"custom_{name_last.lower()}{name_first[0].lower()}01"
# Step 1: Create/verify MLBPlayer record
print(f"\n✓ Checking for existing MLBPlayer record...")
# Try searching by first_name and last_name
mlb_query = await db_get('mlbplayers', params=[('first_name', name_first), ('last_name', name_last)])
if mlb_query and mlb_query.get('count', 0) > 0:
mlbplayer_id = mlb_query['players'][0]['id']
print(f" Using existing MLBPlayer ID: {mlbplayer_id}")
else:
try:
mlbplayer_payload = {
'key_bbref': bbref_id,
'key_fangraphs': 0,
'key_mlbam': 0,
'key_retro': '',
'first_name': name_first,
'last_name': name_last,
}
new_mlbplayer = await db_post('mlbplayers/one', payload=mlbplayer_payload)
mlbplayer_id = new_mlbplayer['id']
print(f" Created MLBPlayer ID: {mlbplayer_id}")
except ValueError as e:
# Player exists but couldn't be found - skip MLBPlayer creation
print(f" MLBPlayer creation failed: {e}")
print(f" Proceeding without MLBPlayer linkage...")
mlbplayer_id = None
# Step 2: Create or update Player record
print(f"\n✓ Checking for existing Player record...")
now = datetime.now()
release_date = f"{now.year}-{now.month}-{now.day}"
# Check if player already exists
p_query = await db_get('players', params=[('bbref_id', bbref_id), ('cardset_id', cardset['id'])])
if p_query and p_query.get('count', 0) > 0:
player_id = p_query['players'][0]['player_id']
print(f" Using existing Player ID: {player_id}")
# Update the image URL
image_url = f"https://pd.manticorum.com/api/v2/players/{player_id}/battingcard?d={release_date}"
await db_patch('players', object_id=player_id, params=[('image', image_url)])
print(f" Updated image URL")
else:
# Create new player
print(f" Creating new Player record...")
# Temporary placeholder image URL (will update after getting player_id)
temp_image_url = f"https://pd.manticorum.com/api/v2/players/0/battingcard?d={release_date}"
player_payload = {
'p_name': f"{name_first} {name_last}",
'bbref_id': bbref_id,
'fangr_id': 0,
'strat_code': 0,
'hand': hand,
'mlbclub': 'Custom Ballplayers',
'franchise': 'Custom Ballplayers',
'cardset_id': cardset['id'],
'description': player_description,
'is_custom': True,
'cost': 100, # Placeholder
'rarity_id': 5, # Common placeholder
'image': temp_image_url,
'set_num': 9999, # Custom player set number
'pos_1': 'C', # Primary position
}
# Only add mlbplayer_id if we have one
if mlbplayer_id:
player_payload['mlbplayer_id'] = mlbplayer_id
new_player = await db_post('players', payload=player_payload)
player_id = new_player['player_id']
print(f" Created Player ID: {player_id}")
# Update with correct image URL
image_url = f"https://pd.manticorum.com/api/v2/players/{player_id}/battingcard?d={release_date}"
await db_patch('players', object_id=player_id, params=[('image', image_url)])
print(f" Updated with correct image URL")
# Step 3: Create BattingCard
print(f"\n✓ Creating BattingCard...")
batting_card_payload = {
'cards': [{
'player_id': player_id,
'key_bbref': bbref_id,
'key_fangraphs': 0,
'key_mlbam': 0,
'key_retro': '',
'name_first': name_first,
'name_last': name_last,
'steal_low': baserunning['steal_low'],
'steal_high': baserunning['steal_high'],
'steal_auto': baserunning['steal_auto'],
'steal_jump': baserunning['steal_jump'],
'hit_and_run': baserunning['hit_and_run'],
'running': baserunning['running'],
'hand': hand,
'bunting': 'A',
}]
}
await db_put('battingcards', payload=batting_card_payload, timeout=10)
print(f" BattingCard created")
# Get the created card ID
bc_query = await db_get('battingcards', params=[('player_id', player_id)])
battingcard_id = bc_query['cards'][0]['id']
print(f" BattingCard ID: {battingcard_id}")
# Step 4: Create BattingCardRatings
print(f"\n✓ Creating BattingCardRatings...")
for rating in ratings:
rating['battingcard_id'] = battingcard_id
ratings_payload = {'ratings': ratings}
await db_put('battingcardratings', payload=ratings_payload, timeout=10)
print(f" Ratings created (vL and vR)")
# Step 5: Create CardPositions with defensive ratings
print(f"\n✓ Creating CardPosition (Catcher)...")
positions_payload = {
'positions': [{
'player_id': player_id,
'variant': 0,
'position': 'C',
'innings': 1,
'range': 3, # Range 3
'error': 5, # Error 5
'arm': 0, # Arm 0
'pb': 6, # PB 6
'overthrow': 3, # Overthrow 3
}]
}
await db_put('cardpositions', payload=positions_payload, timeout=10)
print(f" Position created: C (Range 3, Error 5, PB 6, Overthrow 3, Arm 0)")
# Step 6: Update rarity and cost
print(f"\n✓ Updating rarity to Starter and cost to 91...")
await db_patch('players', object_id=player_id, params=[('rarity_id', 3)]) # Starter = 3
await db_patch('players', object_id=player_id, params=[('cost', 91)])
print(f" Rarity set to: Starter (ID 3)")
print(f" Cost set to: 91")
# Step 7: Generate card image and upload to S3
print(f"\n✓ Generating and uploading card image to AWS S3...")
# Fetch the card image from API
import aiohttp
api_image_url = f"https://pd.manticorum.com/api/v2/players/{player_id}/battingcard?d={release_date}"
async with aiohttp.ClientSession() as session:
async with session.get(api_image_url) as response:
if response.status == 200:
image_bytes = await response.read()
print(f" Fetched card image ({len(image_bytes)} bytes)")
else:
raise ValueError(f"Failed to fetch card image: {response.status}")
# Upload to S3
s3_client = boto3.client('s3', region_name=AWS_REGION)
s3_key = f"cards/cardset-{cardset['id']:03d}/player-{player_id}/battingcard.png"
s3_client.put_object(
Bucket=AWS_BUCKET_NAME,
Key=s3_key,
Body=image_bytes,
ContentType='image/png',
CacheControl='public, max-age=300'
)
print(f" Uploaded to S3: {s3_key}")
# Update player with S3 URL
s3_url = f"https://{AWS_BUCKET_NAME}.s3.{AWS_REGION}.amazonaws.com/{s3_key}?d={release_date}"
await db_patch('players', object_id=player_id, params=[('image', s3_url)])
print(f" Updated player image URL to S3")
print("\n" + "="*70)
print("✅ SUCCESS!")
print("="*70)
print(f"\nValerie-Hecate Theolia created successfully!")
print(f" Player ID: {player_id}")
print(f" BattingCard ID: {battingcard_id}")
print(f" Position: C")
print(f" Bunting: A")
print(f" Rarity: Starter")
print(f" Cost: 91")
print(f" Total OPS: {total_ops:.3f}")
print(f" S3 Image URL: {s3_url}")
print("\n" + "="*70)
if __name__ == "__main__":
asyncio.run(create_valerie_theolia())
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