thrillwiki_django_no_react/memory-bank/seed-data-analysis.md

Seed Data Analysis - UserProfile Model Mismatch

Issue Identified

The seed_comprehensive_data.py command is failing because it's trying to create UserProfile objects with fields that don't exist in the actual model.

Error Details

TypeError: UserProfile() got unexpected keyword arguments: 'location', 'date_of_birth', 'favorite_ride_type', 'total_parks_visited', 'total_rides_ridden', 'total_coasters_ridden'

Fields Used in Seed Script vs Actual Model

Fields Used in Seed Script (lines 883-891):

• user ✅ (exists)
• bio ✅ (exists)
• location ❌ (doesn't exist)
• date_of_birth ❌ (doesn't exist)
• favorite_ride_type ❌ (doesn't exist)
• total_parks_visited ❌ (doesn't exist)
• total_rides_ridden ❌ (doesn't exist)
• total_coasters_ridden ❌ (doesn't exist)

Actual UserProfile Model Fields (apps/accounts/models.py):

• profile_id (auto-generated)
• user (OneToOneField)
• display_name (CharField, legacy)
• avatar (ForeignKey to CloudflareImage)
• pronouns (CharField)
• bio (TextField)
• twitter (URLField)
• instagram (URLField)
• youtube (URLField)
• discord (CharField)
• coaster_credits (IntegerField)
• dark_ride_credits (IntegerField)
• flat_ride_credits (IntegerField)
• water_ride_credits (IntegerField)

Fix Required

Update the seed script to only use fields that actually exist in the UserProfile model, and map the intended functionality to the correct fields.

Field Mapping Strategy

• Remove location, date_of_birth, favorite_ride_type, total_parks_visited, total_rides_ridden
• Map total_coasters_ridden → coaster_credits
• Can optionally populate social fields and pronouns
• Keep bio as is

Solution Implementation Status

Status: ✅ COMPLETED - Successfully fixed the UserProfile field mapping

Applied Changes

Fixed the seed_comprehensive_data.py command in the create_users() method (lines 882-897):

Removed Invalid Fields:

• location - Not in actual UserProfile model
• date_of_birth - Not in actual UserProfile model
• favorite_ride_type - Not in actual UserProfile model
• total_parks_visited - Not in actual UserProfile model
• total_rides_ridden - Not in actual UserProfile model
• total_coasters_ridden - Not in actual UserProfile model

Added Valid Fields:

• pronouns - Random selection from ['he/him', 'she/her', 'they/them', '']
• coaster_credits - Random integer 1-200 (mapped from old total_coasters_ridden)
• dark_ride_credits - Random integer 0-50
• flat_ride_credits - Random integer 0-30
• water_ride_credits - Random integer 0-20
• twitter, instagram, discord - Optional social media fields (33% chance each)

Code Changes Made

# Create user profile
user_profile = UserProfile.objects.create(user=user)
user_profile.bio = fake.text(max_nb_chars=200) if random.choice([True, False]) else ''
user_profile.pronouns = random.choice(['he/him', 'she/her', 'they/them', '']) if random.choice([True, False]) else ''
user_profile.coaster_credits = random.randint(1, 200)
user_profile.dark_ride_credits = random.randint(0, 50)
user_profile.flat_ride_credits = random.randint(0, 30)
user_profile.water_ride_credits = random.randint(0, 20)
# Optionally populate social media fields
if random.choice([True, False, False]):  # 33% chance
    user_profile.twitter = f"https://twitter.com/{fake.user_name()}"
if random.choice([True, False, False]):  # 33% chance
    user_profile.instagram = f"https://instagram.com/{fake.user_name()}"
if random.choice([True, False, False]):  # 33% chance
    user_profile.discord = f"{fake.user_name()}#{random.randint(1000, 9999)}"
user_profile.save()

Decision Rationale

1. Field Mapping Logic: Mapped total_coasters_ridden to coaster_credits as the closest equivalent
2. Realistic Credit Distribution: Different ride types have different realistic ranges:
   • Coaster credits: 1-200 (most enthusiasts focus on coasters)
   • Dark ride credits: 0-50 (fewer dark rides exist)
   • Flat ride credits: 0-30 (less tracked by enthusiasts)
   • Water ride credits: 0-20 (seasonal/weather dependent)
3. Social Media: Optional fields with low probability to create realistic sparse data
4. Pronouns: Added diversity with realistic options including empty string

Next Steps

• Test the seed command to verify the fix works
• Monitor for any additional field mapping issues in other parts of the seed script