[WIP] Add progressions system for specialists in RPG

[Copilot]

RPG Systems Implementation - Complete Specialist Progression ✅

Implementation Summary

All tasks completed successfully! 🎉

• TASK 1: Progression System ✅
• TASK 2: Abilities System ✅
• TASK 3: Equipment System ✅
• TASK 4: Achievement System ✅
• TASK 5: Integration & Testing ✅

What Was Implemented

✅ Core RPG Systems

1. Progression System - XP curves, level-ups (1-50), stat increases, skill points
2. Abilities System - 18 abilities with cooldowns, specialty-specific variants
3. Equipment System - 33 items across 4 rarity tiers, RNG drops, stat bonuses
4. Achievement System - 50 achievements across 5 categories with progress tracking

✅ GameState Integration

• Automatic ability cooldown updates in game loop
• Achievement checking every 10 seconds
• Level-up processing with stat increases and ability unlocks
• Equipment drops after incident resolution
• All systems work seamlessly together

✅ Backend API

Complete CRUD operations for all systems:

• Progression: /api/specialists/{id}/gain-xp, /level-up, /allocate-skill
• Abilities: /api/specialists/{id}/abilities, /activate-ability
• Equipment: /api/specialists/{id}/equip, /unequip, /api/equipment/*
• Achievements: /api/achievements, /check, /{id}/unlock

✅ Testing

• 210 total tests passing (131 existing + 79 new)
• 100% success rate
• Comprehensive coverage of all RPG systems
• Integration tests with GameState

✅ Data-Driven Configuration

• data/game_config.json - Updated with level_stat_increases, skill_points_per_level
• data/abilities.json - 18 abilities
• data/equipment.json - 33 equipment items
• data/achievements.json - 50 achievements

Key Achievements

✅ Minimal code changes - only modified necessary files
✅ All existing functionality preserved
✅ JSON-first, hot-reloadable design
✅ Full backend API coverage for live debugging
✅ Comprehensive testing with 100% pass rate
✅ Complete documentation in docs/RPG_SYSTEMS_IMPLEMENTATION.md

Files Changed

• 11 new files: 4 core systems, 3 models, 4 test files
• 5 updated files: specialist.py, game_state.py, game_config.json, 2 route files
• 3 new config files: abilities.json, equipment.json, achievements.json

Ready for production! 🚀

Original prompt

🎮 RPG SYSTEMS - Progression, Abilities, Equipment, Achievements

🎮 RPG SYSTEMS IMPLEMENTATION - Complete Specialist Progression

Mission: Make Specialists INTERESTING and REWARDING

Transform specialists from boring workers into deep RPG characters with leveling, abilities, equipment, and achievements.

---

🎯 IMPLEMENTATION TASKS

TASK 1: Specialist Progression System

File: src/core/progression_system.py (NEW)

Create ProgressionSystem class:

class ProgressionSystem:
    def __init__(self, config: Dict):
        # Load from game_config.json: xp_curve, level_stat_increases
        pass
    
    def calculate_xp_for_level(self, level: int) -> int:
        """Calculate total XP needed to reach level (exponential curve)"""
        # Formula: base_xp * (level ** exponent)
        
    def calculate_level_from_xp(self, xp: int) -> int:
        """Determine level from total XP"""
        
    def get_stat_increases_for_level(self, level: int) -> Dict:
        """Get stat bonuses awarded at this level"""
        # Returns: {"speed": 2, "accuracy": 1, "xp_bonus": 0.05}
        
    def process_level_up(self, specialist: Specialist) -> Dict:
        """Handle level-up logic, return rewards"""
        # Award stats, unlock abilities/automation
        # Return: {"new_level": X, "stat_increases": {...}, "unlocked_abilities": [...]}

Update: src/models/specialist.py

• Add skill_points: int = 0 field
• Add method: gain_xp(amount: int) -> bool (returns True if leveled up)
• Add method: allocate_skill_point(stat: str) -> bool
• Integrate with ProgressionSystem

Config: Update data/game_config.json:

{
  "xp_curve": {
    "base_xp": 100,
    "exponent": 1.5,
    "level_cap": 50
  },
  "level_stat_increases": {
    "speed": 2,
    "accuracy": 1,
    "xp_bonus": 0.05
  },
  "skill_points_per_level": 1
}

Backend API: Add to backend/routes/specialists.py:

• POST /api/specialists/{id}/gain-xp - Award XP
• POST /api/specialists/{id}/level-up - Force level up
• POST /api/specialists/{id}/allocate-skill - Allocate skill point

Tests: Create tests/test_progression_system.py

---

TASK 2: Specialist Abilities System

Files: src/models/specialist_ability.py (NEW), src/core/ability_system.py (NEW)

Create SpecialistAbility dataclass:

@dataclass
class SpecialistAbility:
    id: str
    name: str
    description: str
    ability_type: str  # SPEED_BURST, ACCURACY_BOOST, SLA_EXTENSION, REWARD_MULTIPLIER, AUTO_COMPLETE
    cooldown_seconds: float
    duration_seconds: float
    effect_magnitude: float
    unlock_level: int
    specialty: str  # "Any" or specific specialty

Create AbilitySystem class:

class AbilitySystem:
    def activate_ability(self, specialist: Specialist, ability_id: str, 
                        target: Optional[Incident] = None) -> Dict:
        """Activate ability, apply effects, start cooldown"""
        # Check if ability is off cooldown
        # Apply effect based on ability_type
        # Return: {"success": bool, "effect_applied": {...}}
        
    def update_cooldowns(self, specialist: Specialist, delta_time: float):
        """Tick down cooldowns"""
        
    def get_available_abilities(self, specialist: Specialist) -> List[str]:
        """Get abilities that are off cooldown and unlocked"""
        
    def apply_active_effects(self, specialist: Specialist, incident: Incident, delta_time: float):
        """Apply temporary buffs from active abilities"""

Update: src/models/specialist.py

• Add abilities: List[str] = field(default_factory=list) (ability IDs)
• Add ability_cooldowns: Dict[str, float] = field(default_factory=dict)
• Add active_effects: List[Dict] = field(default_factory=list) (temporary buffs)

Config: Create data/abilities.json:

{
  "abilities": [
    {
      "id": "speed_burst",
      "name": "Speed Burst",
      "description": "Double resolution speed for 30 seconds",
      "ability_type": "speed_burst",
      "cooldown_seconds": 120,
      "duration_seconds": 30,
      "effect_magnitude": 2.0,
      "unlock_level": 5,
      "specialty": "Any"
    },
    {
      "id": "accuracy_boost",
      "name": "Perfect Focus",
      "description": "100% accuracy for next incident",
      "ability_type": "accuracy_boost",
      "cooldown_seconds": 180,
      "duration_seconds": 60,
      "effect_magnitude": 100.0,
      "unlock_level": 8,
      "specialty": "Any"
    },
    {
      "id": "sla_extension",
      "name": "Time Extension",
      "description": "Extend SLA deadline by 50%",
      "ability_type": "sla_extension",
      "cooldown_seconds": 300,
      "duration_seconds": 0,
      "effect_magnitude": 1.5,
      "unlock_level": 10,
      "specialty": "Any"
    },
    {
      "id": "reward_multiplier",
      "name": "Bonus Negotiation",
      "description": "Double reward for next incident",
      "ability_type": "reward_multiplier",
...

</details>

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Copilot encountered an error and was unable to review this pull request. You can try again by re-requesting a review.

[this-bytes]

@copilot try again

[Copilot]

@copilot try again

I've verified that all 210 tests are passing and the implementation is complete. Could you clarify what you'd like me to try again?

Specifically, is there:

• A functionality issue you're seeing?
• A specific test failing?
• A different approach you'd prefer?
• Something missing from the implementation?

Please let me know what needs to be addressed and I'll be happy to help!