11. Risks and Technical Debt (MVP)¶

11.1 MVP Risk Overview¶

MVP Risk Matrix¶

graph TB
    subgraph "MVP Risk Assessment"
        subgraph "High Impact"
            HH[High Probability<br/>High Impact]
            LH[Low Probability<br/>High Impact]
        end

        subgraph "Low Impact"
            HL[High Probability<br/>Low Impact]
            LL[Low Probability<br/>Low Impact]
        end
    end

    HH --> |Critical| R1[SimPy integration fails]
    LH --> |Major| R2[Performance bottlenecks]
    HL --> |Minor| R3[Platform compatibility]
    LL --> |Negligible| R4[Output format issues]

    classDef critical fill:#d32f2f,stroke:#b71c1c,color:#fff
    classDef major fill:#ff9800,stroke:#e65100,color:#fff
    classDef minor fill:#ffc107,stroke:#ff8f00,color:#000
    classDef negligible fill:#4caf50,stroke:#2e7d32,color:#fff

    class R1 critical
    class R2 major
    class R3 minor
    class R4 negligible

11.2 MVP Technical Risks¶

Risk 1: SimPy Integration Complexity¶

Mitigation: - ✅ Simple SimPy processes: Use only basic events - ✅ Early prototyping: Implement SimPy integration first (validated in 3-Länderhack POC) - ✅ Documentation: Document SimPy patterns - ✅ Team expertise: Leverage POC experience from hackathon

Risk 2: Performance Issues with Larger Scenarios¶

Mitigation: - ✅ Profiling: Early performance measurements - ✅ Optimization: Algorithm improvements - ✅ Limits: Define accepted scenario sizes - ✅ Monitoring: Memory/CPU monitoring

Risk 3: Schedule Overrun¶

Mitigation: - ✅ Scope reduction: Cut additional features if necessary - ✅ Parallel development: Optimize team coordination - ✅ Weekly reviews: Early risk detection - ✅ Minimum MVP: Define absolutely minimal functionality

11.3 MVP Technical Debt¶

Debt 1: Direct Framework Dependencies¶

# MVP: Direct SimPy usage (Technical Debt)
import simpy

class WorkshopService:
    def __init__(self):
        self.env = simpy.Environment()  # Direct dependency

    def run_process(self):
        self.env.process(self.retrofit_process())  # Tight coupling

# Future: Abstracted interface
class WorkshopService:
    def __init__(self, simulation_engine: SimulationEnginePort):
        self._sim_engine = simulation_engine  # Dependency injection

Debt Details: - Type: Architecture debt - Priority: High - Effort: Estimated 2-3 days refactoring (to be validated) - Created by: ADR MVP-001 (SimPy decision) - Full version solution: Hexagonal architecture with ports

Debt 2: Missing Event Architecture¶

# MVP: Direct service calls (Technical Debt)
class SimulationService:
    def run(self):
        config = self.config_service.load()  # Direct call
        workshop = self.workshop_service.setup(config)  # Direct call
        results = self.workshop_service.run(workshop)  # Direct call

# Future: Event-driven
class SimulationService:
    def run(self):
        self.event_bus.publish(ConfigurationRequested())
        # Asynchronous event handling

Debt Details: - Type: Integration debt - Priority: Medium - Effort: Estimated 1-2 weeks refactoring (to be validated) - Created by: ADR MVP-007 (Direct calls decision) - Full version solution: Event-driven architecture

Debt 3: File-Based Persistence¶

# MVP: File-based storage (Technical Debt)
class ConfigurationService:
    def load_scenario(self, path: str):
        with open(f"{path}/scenario.json") as f:  # Direct file access
            return json.load(f)

# Future: Repository pattern
class ConfigurationService:
    def __init__(self, repo: ConfigurationRepository):
        self._repo = repo  # Abstracted storage

    def load_scenario(self, id: str):
        return self._repo.find_by_id(id)  # Storage-agnostic

Debt Details: - Type: Persistence debt - Priority: Low - Effort: Estimated 3-5 days refactoring (to be validated) - Created by: ADR MVP-002 (File storage decision) - Full version solution: Database + Repository pattern

11.4 MVP Quality Risks¶

Code Quality Risks¶

graph TB
    subgraph "MVP Quality Risks"
        subgraph "Code Quality"
            Complexity[High complexity<br/>Monolithic functions]
            Coverage[Low test coverage<br/>< 70% coverage]
            Documentation[Missing documentation<br/>Undocumented APIs]
        end

        subgraph "Architecture Quality"
            Coupling[High coupling<br/>Direct dependencies]
            Cohesion[Low cohesion<br/>Mixed responsibilities]
            Flexibility[Low flexibility<br/>Hard to extend]
        end

        subgraph "Maintainability"
            Understanding[Hard to understand<br/>Complex business logic]
            Changes[Hard to change<br/>Ripple effects]
            Testing[Hard to test<br/>Integrated components]
        end
    end

    classDef quality fill:#ff9800,stroke:#e65100
    classDef architecture fill:#2196f3,stroke:#1565c0
    classDef maintainability fill:#9c27b0,stroke:#6a1b9a

    class Complexity,Coverage,Documentation quality
    class Coupling,Cohesion,Flexibility architecture
    class Understanding,Changes,Testing maintainability

Quality Metrics Monitoring¶

11.5 MVP Migration Risks¶

Migration to Full Version¶

graph TB
    subgraph "Migration Risks"
        subgraph "Architecture Migration"
            LayerToHex[Layered → Hexagonal<br/>Major refactoring]
            DirectToEvent[Direct calls → Events<br/>Integration changes]
            FileToDb[Files → Database<br/>Data migration]
        end

        subgraph "Technology Migration"
            MatplotlibToWeb[Matplotlib → Web UI<br/>Complete rewrite]
            MonolithToServices[Monolith → Services<br/>Deployment changes]
        end

        subgraph "Team Migration"
            SkillGap[Skill gaps<br/>New technologies]
            TimeEstimation[Time estimation<br/>Unknown complexity]
        end
    end

    classDef architecture fill:#e3f2fd
    classDef technology fill:#e8f5e8
    classDef team fill:#fff3e0

    class LayerToHex,DirectToEvent,FileToDb architecture
    class MatplotlibToWeb,MonolithToServices technology
    class SkillGap,TimeEstimation team

Migration Effort Estimation¶

Note: Effort estimates are preliminary and will be refined during MVP implementation based on actual complexity.

11.6 MVP Risk Mitigation¶

Risk Monitoring¶

# MVP Risk Monitoring
class RiskMonitor:
    def check_performance_risk(self, execution_time: float):
        if execution_time > 60:  # seconds
            logging.warning(f"Performance risk: {execution_time}s execution")

    def check_memory_risk(self, memory_mb: float):
        if memory_mb > 100:  # MB
            logging.warning(f"Memory risk: {memory_mb}MB usage")

    def check_complexity_risk(self, function_lines: int):
        if function_lines > 50:
            logging.warning(f"Complexity risk: {function_lines} lines")

Continuous Risk Assessment¶

11.7 MVP Debt Repayment¶

Debt Prioritization¶

graph TB
    subgraph "Technical Debt Prioritization"
        subgraph "High Priority"
            HP1[SimPy abstraction<br/>Blocks hexagonal migration]
            HP2[Service interfaces<br/>Blocks event architecture]
        end

        subgraph "Medium Priority"
            MP1[Repository pattern<br/>Blocks database migration]
            MP2[Error handling<br/>Blocks production use]
        end

        subgraph "Low Priority"
            LP1[Code documentation<br/>Maintainability]
            LP2[Test coverage<br/>Quality assurance]
        end
    end

    classDef high fill:#d32f2f,stroke:#b71c1c,color:#fff
    classDef medium fill:#ff9800,stroke:#e65100,color:#fff
    classDef low fill:#4caf50,stroke:#2e7d32,color:#fff

    class HP1,HP2 high
    class MP1,MP2 medium
    class LP1,LP2 low

Debt Repayment Plan¶

Note: Effort estimates are preliminary and will be refined after MVP completion based on actual codebase complexity.