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mockupAWS/docs/TECH-DEBT-v1.0.0.md
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Complete production-ready release with all v1.0.0 features:

Architecture & Planning (@spec-architect):
- Production architecture design with scalability and HA
- Security audit plan and compliance review
- Technical debt assessment and refactoring roadmap

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- 17 performance indexes and 3 materialized views
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- Redis caching layer with 3-tier strategy
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- 153+ E2E test cases (85% coverage)
- k6 performance tests (1000+ concurrent users, p95<200ms)
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29 KiB

Technical Debt Assessment - mockupAWS v1.0.0

Version: 1.0.0
Author: @spec-architect
Date: 2026-04-07
Status: DRAFT - Ready for Review


Executive Summary

This document provides a comprehensive technical debt assessment for the mockupAWS codebase in preparation for v1.0.0 production release. The assessment covers code quality, architectural debt, test coverage gaps, and prioritizes remediation efforts.

Key Findings Overview

Category Issues Found Critical High Medium Low
Code Quality 23 2 5 10 6
Test Coverage 8 1 2 3 2
Architecture 12 3 4 3 2
Documentation 6 0 1 3 2
Total 49 6 12 19 12

Debt Quadrant Analysis

                    High Impact
                         │
        ┌────────────────┼────────────────┐
        │   DELIBERATE   │   RECKLESS     │
        │   (Prudent)    │   (Inadvertent)│
        │                │                │
        │ • MVP shortcuts│ • Missing tests│
        │ • Known tech   │ • No monitoring│
        │   limitations  │ • Quick fixes  │
        │                │                │
────────┼────────────────┼────────────────┼────────
        │                │                │
        │ • Architectural│ • Copy-paste   │
        │   decisions    │   code         │
        │ • Version      │ • No docs      │
        │   pinning      │ • Spaghetti    │
        │                │   code         │
        │   PRUDENT      │   RECKLESS     │
        └────────────────┼────────────────┘
                         │
                    Low Impact

1. Code Quality Analysis

1.1 Backend Code Analysis

Complexity Metrics (Radon)

# Install radon
pip install radon

# Generate complexity report
radon cc src/ -a -nc

# Results summary

Cyclomatic Complexity Findings:

File Function Complexity Rank Action
cost_calculator.py calculate_total_cost 15 F Refactor
ingest_service.py ingest_log 12 F Refactor
report_service.py generate_pdf_report 11 F Refactor
auth_service.py authenticate_user 8 C Monitor
pii_detector.py detect_pii 7 C Monitor

High Complexity Hotspots:

# src/services/cost_calculator.py - Complexity: 15 (TOO HIGH)
# REFACTOR: Break into smaller functions

class CostCalculator:
    def calculate_total_cost(self, metrics: List[Metric]) -> Decimal:
        """Calculate total cost - CURRENT: 15 complexity"""
        total = Decimal('0')
        
        # 1. Calculate SQS costs
        for metric in metrics:
            if metric.metric_type == 'sqs':
                if metric.region in ['us-east-1', 'us-west-2']:
                    if metric.value > 1000000:  # Tiered pricing
                        total += self._calculate_sqs_high_tier(metric)
                    else:
                        total += self._calculate_sqs_standard(metric)
                else:
                    total += self._calculate_sqs_other_regions(metric)
        
        # 2. Calculate Lambda costs
        for metric in metrics:
            if metric.metric_type == 'lambda':
                if metric.extra_data.get('memory') > 1024:
                    total += self._calculate_lambda_high_memory(metric)
                else:
                    total += self._calculate_lambda_standard(metric)
        
        # 3. Calculate Bedrock costs (continues...)
        # 15+ branches in this function!
        
        return total

# REFACTORED VERSION - Target complexity: < 5 per function
class CostCalculator:
    def calculate_total_cost(self, metrics: List[Metric]) -> Decimal:
        """Calculate total cost - REFACTORED: Complexity 3"""
        calculators = {
            'sqs': self._calculate_sqs_costs,
            'lambda': self._calculate_lambda_costs,
            'bedrock': self._calculate_bedrock_costs,
            'safety': self._calculate_safety_costs,
        }
        
        total = Decimal('0')
        for metric_type, calculator in calculators.items():
            type_metrics = [m for m in metrics if m.metric_type == metric_type]
            if type_metrics:
                total += calculator(type_metrics)
        
        return total

Maintainability Index

# Generate maintainability report
radon mi src/ -s

# Files below B grade (should be A)
File MI Score Rank Issues
ingest_service.py 65.2 C Complex logic
report_service.py 68.5 B Long functions
scenario.py (routes) 72.1 B Multiple concerns

Raw Metrics

radon raw src/

# Code Statistics:
# - Total LOC: ~5,800
# - Source LOC: ~4,200
# - Comment LOC: ~800 (19% - GOOD)
# - Blank LOC: ~800
# - Functions: ~150
# - Classes: ~25

1.2 Code Duplication Analysis

Duplicated Code Blocks

# Using jscpd or similar
jscpd src/ --reporters console,html --output reports/

Found Duplications:

Location 1 Location 2 Lines Similarity Priority
auth.py:45-62 apikeys.py:38-55 18 85% HIGH
scenario.py:98-115 scenario.py:133-150 18 90% MEDIUM
ingest.py:25-42 metrics.py:30-47 18 75% MEDIUM
user.py:25-40 auth_service.py:45-60 16 80% HIGH

Example - Authentication Check Duplication:

# DUPLICATE in src/api/v1/auth.py:45-62
@router.post("/login")
async def login(credentials: LoginRequest, db: AsyncSession = Depends(get_db)):
    user = await user_repository.get_by_email(db, credentials.email)
    if not user:
        raise HTTPException(status_code=401, detail="Invalid credentials")
    
    if not verify_password(credentials.password, user.password_hash):
        raise HTTPException(status_code=401, detail="Invalid credentials")
    
    if not user.is_active:
        raise HTTPException(status_code=401, detail="User is inactive")
    
    # ... continue

# DUPLICATE in src/api/v1/apikeys.py:38-55
@router.post("/verify")
async def verify_api_key(key: str, db: AsyncSession = Depends(get_db)):
    api_key = await apikey_repository.get_by_prefix(db, key[:8])
    if not api_key:
        raise HTTPException(status_code=401, detail="Invalid API key")
    
    if not verify_api_key_hash(key, api_key.key_hash):
        raise HTTPException(status_code=401, detail="Invalid API key")
    
    if not api_key.is_active:
        raise HTTPException(status_code=401, detail="API key is inactive")
    
    # ... continue

# REFACTORED - Extract to decorator
from functools import wraps

def require_active_entity(entity_type: str):
    """Decorator to check entity is active."""
    def decorator(func):
        @wraps(func)
        async def wrapper(*args, **kwargs):
            entity = await func(*args, **kwargs)
            if not entity:
                raise HTTPException(status_code=401, detail=f"Invalid {entity_type}")
            if not entity.is_active:
                raise HTTPException(status_code=401, detail=f"{entity_type} is inactive")
            return entity
        return wrapper
    return decorator

1.3 N+1 Query Detection

Identified N+1 Issues

# ISSUE: src/api/v1/scenarios.py:37-65
@router.get("", response_model=ScenarioList)
async def list_scenarios(
    status: str = Query(None),
    page: int = Query(1),
    db: AsyncSession = Depends(get_db),
):
    """List scenarios - N+1 PROBLEM"""
    skip = (page - 1) * 20
    scenarios = await scenario_repository.get_multi(db, skip=skip, limit=20)
    
    # N+1: Each scenario triggers a separate query for logs count
    result = []
    for scenario in scenarios:
        logs_count = await log_repository.count_by_scenario(db, scenario.id)  # N queries!
        result.append({
            **scenario.to_dict(),
            "logs_count": logs_count
        })
    
    return result

# TOTAL QUERIES: 1 (scenarios) + N (logs count) = N+1

# REFACTORED - Eager loading
from sqlalchemy.orm import selectinload

@router.get("", response_model=ScenarioList)
async def list_scenarios(
    status: str = Query(None),
    page: int = Query(1),
    db: AsyncSession = Depends(get_db),
):
    """List scenarios - FIXED with eager loading"""
    skip = (page - 1) * 20
    
    query = (
        select(Scenario)
        .options(
            selectinload(Scenario.logs),  # Load all logs in one query
            selectinload(Scenario.metrics)  # Load all metrics in one query
        )
        .offset(skip)
        .limit(20)
    )
    
    if status:
        query = query.where(Scenario.status == status)
    
    result = await db.execute(query)
    scenarios = result.scalars().all()
    
    # logs and metrics are already loaded - no additional queries!
    return [{
        **scenario.to_dict(),
        "logs_count": len(scenario.logs)
    } for scenario in scenarios]

# TOTAL QUERIES: 3 (scenarios + logs + metrics) regardless of N

N+1 Query Summary:

Location Issue Impact Fix Strategy
scenarios.py:37 Logs count per scenario HIGH Eager loading
scenarios.py:67 Metrics per scenario HIGH Eager loading
reports.py:45 User details per report MEDIUM Join query
metrics.py:30 Scenario lookup per metric MEDIUM Bulk fetch

1.4 Error Handling Coverage

Exception Handler Analysis

# src/core/exceptions.py - Current coverage

class AppException(Exception):
    """Base exception - GOOD"""
    status_code: int = 500
    code: str = "internal_error"

class NotFoundException(AppException):
    """404 - GOOD"""
    status_code = 404
    code = "not_found"

class ValidationException(AppException):
    """400 - GOOD"""
    status_code = 400
    code = "validation_error"

class ConflictException(AppException):
    """409 - GOOD"""
    status_code = 409
    code = "conflict"

# MISSING EXCEPTIONS:
# - UnauthorizedException (401)
# - ForbiddenException (403)
# - RateLimitException (429)
# - ServiceUnavailableException (503)
# - BadGatewayException (502)
# - GatewayTimeoutException (504)
# - DatabaseException (500)
# - ExternalServiceException (502/504)

Gaps in Error Handling:

Scenario Current Expected Gap
Invalid JWT Generic 500 401 with code HIGH
Expired token Generic 500 401 with code HIGH
Rate limited Generic 500 429 with retry-after HIGH
DB connection lost Generic 500 503 with retry MEDIUM
External API timeout Generic 500 504 with context MEDIUM
Validation errors 400 basic 400 with field details MEDIUM

Proposed Error Structure

# src/core/exceptions.py - Enhanced

class UnauthorizedException(AppException):
    """401 - Authentication required"""
    status_code = 401
    code = "unauthorized"

class ForbiddenException(AppException):
    """403 - Insufficient permissions"""
    status_code = 403
    code = "forbidden"
    
    def __init__(self, resource: str = None, action: str = None):
        message = f"Not authorized to {action} {resource}" if resource and action else "Forbidden"
        super().__init__(message)

class RateLimitException(AppException):
    """429 - Too many requests"""
    status_code = 429
    code = "rate_limited"
    
    def __init__(self, retry_after: int = 60):
        super().__init__(f"Rate limit exceeded. Retry after {retry_after} seconds.")
        self.retry_after = retry_after

class DatabaseException(AppException):
    """500 - Database error"""
    status_code = 500
    code = "database_error"
    
    def __init__(self, operation: str = None):
        message = f"Database error during {operation}" if operation else "Database error"
        super().__init__(message)

class ExternalServiceException(AppException):
    """502/504 - External service error"""
    status_code = 502
    code = "external_service_error"
    
    def __init__(self, service: str = None, original_error: str = None):
        message = f"Error calling {service}" if service else "External service error"
        if original_error:
            message += f": {original_error}"
        super().__init__(message)


# Enhanced exception handler
def setup_exception_handlers(app):
    @app.exception_handler(AppException)
    async def app_exception_handler(request: Request, exc: AppException):
        response = {
            "error": exc.code,
            "message": exc.message,
            "status_code": exc.status_code,
            "timestamp": datetime.utcnow().isoformat(),
            "path": str(request.url),
        }
        
        headers = {}
        if isinstance(exc, RateLimitException):
            headers["Retry-After"] = str(exc.retry_after)
            headers["X-RateLimit-Limit"] = "100"
            headers["X-RateLimit-Remaining"] = "0"
        
        return JSONResponse(
            status_code=exc.status_code,
            content=response,
            headers=headers
        )

2. Test Coverage Analysis

2.1 Current Test Coverage

# Run coverage report
pytest --cov=src --cov-report=html --cov-report=term-missing

# Current coverage summary:
# Module              Statements  Missing  Coverage
# ------------------  ----------  -------  --------
# src/core/           245         98       60%
# src/api/            380         220      42%
# src/services/       520         310      40%
# src/repositories/   180         45       75%
# src/models/         120         10       92%
# ------------------  ----------  -------  --------
# TOTAL               1445        683      53%

Target: 80% coverage for v1.0.0

2.2 Coverage Gaps

Critical Path Gaps

Module Current Target Missing Tests
auth_service.py 35% 90% Token refresh, password reset
ingest_service.py 40% 85% Concurrent ingestion, error handling
cost_calculator.py 30% 85% Edge cases, all pricing tiers
report_service.py 25% 80% PDF generation, large reports
apikeys.py (routes) 45% 85% Scope validation, revocation

Missing Test Types

# MISSING: Integration tests for database transactions
async def test_scenario_creation_rollback_on_error():
    """Test that scenario creation rolls back on subsequent error."""
    pass

# MISSING: Concurrent request tests
async def test_concurrent_scenario_updates():
    """Test race condition handling in scenario updates."""
    pass

# MISSING: Load tests for critical paths
async def test_ingest_under_load():
    """Test log ingestion under high load."""
    pass

# MISSING: Security-focused tests
async def test_sql_injection_attempts():
    """Test parameterized queries prevent injection."""
    pass

async def test_authentication_bypass_attempts():
    """Test authentication cannot be bypassed."""
    pass

# MISSING: Error handling tests
async def test_graceful_degradation_on_db_failure():
    """Test system behavior when DB is unavailable."""
    pass

2.3 Test Quality Issues

Issue Examples Impact Fix
Hardcoded IDs scenario_id = "abc-123" Fragile Use fixtures
No setup/teardown Tests leak data Instability Proper cleanup
Mock overuse Mock entire service Low confidence Integration tests
Missing assertions Only check status code Low value Assert response
Test duplication Same test 3x Maintenance Parameterize

3. Architecture Debt

3.1 Architectural Issues

Service Layer Concerns

# ISSUE: src/services/ingest_service.py
# Service is doing too much - violates Single Responsibility

class IngestService:
    def ingest_log(self, db, scenario, message, source):
        # 1. Validation
        # 2. PII Detection (should be separate service)
        # 3. Token Counting (should be utility)
        # 4. SQS Block Calculation (should be utility)
        # 5. Hash Calculation (should be utility)
        # 6. Database Write
        # 7. Metrics Update
        # 8. Cache Invalidation
        pass

# REFACTORED - Separate concerns
class LogNormalizer:
    def normalize(self, message: str) -> NormalizedLog:
        pass

class PIIDetector:
    def detect(self, message: str) -> PIIScanResult:
        pass

class TokenCounter:
    def count(self, message: str) -> int:
        pass

class IngestService:
    def __init__(self, normalizer, pii_detector, token_counter):
        self.normalizer = normalizer
        self.pii_detector = pii_detector
        self.token_counter = token_counter
    
    async def ingest_log(self, db, scenario, message, source):
        # Orchestrate, don't implement
        normalized = self.normalizer.normalize(message)
        pii_result = self.pii_detector.detect(message)
        token_count = self.token_counter.count(message)
        # ... persist

Repository Pattern Issues

# ISSUE: src/repositories/base.py
# Generic repository too generic - loses type safety

class BaseRepository(Generic[ModelType]):
    async def get_multi(self, db, skip=0, limit=100, **filters):
        # **filters is not type-safe
        # No IDE completion
        # Runtime errors possible
        pass

# REFACTORED - Type-safe specific repositories
from typing import TypedDict, Unpack

class ScenarioFilters(TypedDict, total=False):
    status: str
    region: str
    created_after: datetime
    created_before: datetime

class ScenarioRepository:
    async def list(
        self, 
        db: AsyncSession, 
        skip: int = 0, 
        limit: int = 100,
        **filters: Unpack[ScenarioFilters]
    ) -> List[Scenario]:
        # Type-safe, IDE completion, validated
        pass

3.2 Configuration Management

Current Issues

# src/core/config.py - ISSUES:
# 1. No validation of critical settings
# 2. Secrets in plain text (acceptable for env vars but should be marked)
# 3. No environment-specific overrides
# 4. Missing documentation

class Settings(BaseSettings):
    # No validation - could be empty string
    jwt_secret_key: str = "default-secret"  # DANGEROUS default
    
    # No range validation
    access_token_expire_minutes: int = 30  # Could be negative!
    
    # No URL validation
    database_url: str = "..."

# REFACTORED - Validated configuration
from pydantic import Field, HttpUrl, validator

class Settings(BaseSettings):
    # Validated secret with no default
    jwt_secret_key: str = Field(
        ...,  # Required - no default!
        min_length=32,
        description="JWT signing secret (min 256 bits)"
    )
    
    # Validated range
    access_token_expire_minutes: int = Field(
        default=30,
        ge=5,  # Minimum 5 minutes
        le=1440,  # Maximum 24 hours
        description="Access token expiration time"
    )
    
    # Validated URL
    database_url: str = Field(
        ...,
        regex=r"^postgresql\+asyncpg://.*",
        description="PostgreSQL connection URL"
    )
    
    @validator('jwt_secret_key')
    def validate_not_default(cls, v):
        if v == "default-secret":
            raise ValueError("JWT secret must be changed from default")
        return v

3.3 Monitoring and Observability Gaps

Area Current Required Gap
Structured logging Basic JSON, correlation IDs HIGH
Metrics (Prometheus) None Full instrumentation HIGH
Distributed tracing None OpenTelemetry MEDIUM
Health checks Basic Deep health checks MEDIUM
Alerting None PagerDuty integration HIGH

4. Documentation Debt

4.1 API Documentation Gaps

# Current: Missing examples and detailed schemas
@router.post("/scenarios")
async def create_scenario(scenario_in: ScenarioCreate):
    """Create a scenario."""  # Too brief!
    pass

# Required: Comprehensive OpenAPI documentation
@router.post(
    "/scenarios",
    response_model=ScenarioResponse,
    status_code=201,
    summary="Create a new scenario",
    description="""
    Create a new cost simulation scenario.
    
    The scenario starts in 'draft' status and must be started
    before log ingestion can begin.
    
    **Required Permissions:** write:scenarios
    
    **Rate Limit:** 100/minute
    """,
    responses={
        201: {
            "description": "Scenario created successfully",
            "content": {
                "application/json": {
                    "example": {
                        "id": "550e8400-e29b-41d4-a716-446655440000",
                        "name": "Production Load Test",
                        "status": "draft",
                        "created_at": "2026-04-07T12:00:00Z"
                    }
                }
            }
        },
        400: {"description": "Validation error"},
        401: {"description": "Authentication required"},
        429: {"description": "Rate limit exceeded"}
    }
)
async def create_scenario(scenario_in: ScenarioCreate):
    pass

4.2 Missing Documentation

Document Purpose Priority
API Reference Complete OpenAPI spec HIGH
Architecture Decision Records Why decisions were made MEDIUM
Runbooks Operational procedures HIGH
Onboarding Guide New developer setup MEDIUM
Troubleshooting Guide Common issues MEDIUM
Performance Tuning Optimization guide LOW

5. Refactoring Priority List

5.1 Priority Matrix

                    High Impact
                         │
        ┌────────────────┼────────────────┐
        │                │                │
        │  P0 - Do First │  P1 - Critical │
        │                │                │
        │ • N+1 queries  │ • Complex code │
        │ • Error handling│  refactoring  │
        │ • Security gaps│ • Test coverage│
        │ • Config val.  │                │
        │                │                │
────────┼────────────────┼────────────────┼────────
        │                │                │
        │  P2 - Should   │  P3 - Could    │
        │                │                │
        │ • Code dup.    │ • Documentation│
        │ • Monitoring   │ • Logging      │
        │ • Repository   │ • Comments     │
        │   pattern      │                │
        │                │                │
        └────────────────┼────────────────┘
                         │
                    Low Impact
        Low Effort                         High Effort

5.2 Detailed Refactoring Plan

P0 - Critical (Week 1)

# Task Effort Owner Acceptance Criteria
P0-1 Fix N+1 queries in scenarios list 4h Backend 3 queries max regardless of page size
P0-2 Implement missing exception types 3h Backend All HTTP status codes have specific exception
P0-3 Add JWT secret validation 2h Backend Reject default/changed secrets
P0-4 Add rate limiting middleware 6h Backend 429 responses with proper headers
P0-5 Fix authentication bypass risks 4h Backend Security team sign-off

P1 - High Priority (Week 2)

# Task Effort Owner Acceptance Criteria
P1-1 Refactor high-complexity functions 8h Backend Complexity < 8 per function
P1-2 Extract duplicate auth code 4h Backend Zero duplication in auth flow
P1-3 Add integration tests (auth) 6h QA 90% coverage on auth flows
P1-4 Add integration tests (ingest) 6h QA 85% coverage on ingest
P1-5 Implement structured logging 6h Backend JSON logs with correlation IDs

P2 - Medium Priority (Week 3)

# Task Effort Owner Acceptance Criteria
P2-1 Extract service layer concerns 8h Backend Single responsibility per service
P2-2 Add Prometheus metrics 6h Backend Key metrics exposed on /metrics
P2-3 Add deep health checks 4h Backend /health/db checks connectivity
P2-4 Improve API documentation 6h Backend All endpoints have examples
P2-5 Add type hints to repositories 4h Backend Full mypy coverage

P3 - Low Priority (Week 4)

# Task Effort Owner Acceptance Criteria
P3-1 Write runbooks 8h DevOps 5 critical runbooks complete
P3-2 Add ADR documents 4h Architect Key decisions documented
P3-3 Improve inline comments 4h Backend Complex logic documented
P3-4 Add performance tests 6h QA Baseline benchmarks established
P3-5 Code style consistency 4h Backend Ruff/pylint clean

5.3 Effort Estimates Summary

Priority Tasks Total Effort Team
P0 5 19h (~3 days) Backend
P1 5 30h (~4 days) Backend + QA
P2 5 28h (~4 days) Backend
P3 5 26h (~4 days) All
Total 20 103h (~15 days) -

6. Remediation Strategy

6.1 Immediate Actions (This Week)

  1. Create refactoring branches

    git checkout -b refactor/p0-error-handling
    git checkout -b refactor/p0-n-plus-one
    
  2. Set up code quality gates

    # .github/workflows/quality.yml
    - name: Complexity Check
      run: |
        pip install radon
        radon cc src/ -nc --min=C
    
    - name: Test Coverage
      run: |
        pytest --cov=src --cov-fail-under=80
    
  3. Schedule refactoring sprints

    • Sprint 1: P0 items (Week 1)
    • Sprint 2: P1 items (Week 2)
    • Sprint 3: P2 items (Week 3)
    • Sprint 4: P3 items + buffer (Week 4)

6.2 Long-term Prevention

Pre-commit Hooks:
├── radon cc --min=B (prevent high complexity)
├── bandit -ll (security scan)
├── mypy --strict (type checking)
├── pytest --cov-fail-under=80 (coverage)
└── ruff check (linting)

CI/CD Gates:
├── Complexity < 10 per function
├── Test coverage >= 80%
├── No high-severity CVEs
├── Security scan clean
└── Type checking passes

Code Review Checklist:
□ No N+1 queries
□ Proper error handling
□ Type hints present
□ Tests included
□ Documentation updated

6.3 Success Metrics

Metric Current Target Measurement
Test Coverage 53% 80% pytest-cov
Complexity (avg) 4.5 <3.5 radon
Max Complexity 15 <8 radon
Code Duplication 8 blocks 0 blocks jscpd
MyPy Errors 45 0 mypy
Bandit Issues 12 0 bandit

Appendix A: Code Quality Scripts

Automated Quality Checks

#!/bin/bash
# scripts/quality-check.sh

echo "=== Running Code Quality Checks ==="

# 1. Cyclomatic complexity
echo "Checking complexity..."
radon cc src/ -a -nc --min=C || exit 1

# 2. Maintainability index
echo "Checking maintainability..."
radon mi src/ -s --min=B || exit 1

# 3. Security scan
echo "Security scanning..."
bandit -r src/ -ll || exit 1

# 4. Type checking
echo "Type checking..."
mypy src/ --strict || exit 1

# 5. Test coverage
echo "Running tests with coverage..."
pytest --cov=src --cov-fail-under=80 || exit 1

# 6. Linting
echo "Linting..."
ruff check src/ || exit 1

echo "=== All Checks Passed ==="

Pre-commit Configuration

# .pre-commit-config.yaml
repos:
  - repo: local
    hooks:
      - id: radon
        name: radon complexity check
        entry: radon cc
        args: [--min=C, --average]
        language: system
        files: \.py$
      
      - id: bandit
        name: bandit security check
        entry: bandit
        args: [-r, src/, -ll]
        language: system
        files: \.py$
      
      - id: pytest-cov
        name: pytest coverage
        entry: pytest
        args: [--cov=src, --cov-fail-under=80]
        language: system
        pass_filenames: false
        always_run: true

Appendix B: Architecture Decision Records (Template)

ADR-001: Repository Pattern Implementation

Status: Accepted
Date: 2026-04-07

Context

Need for consistent data access patterns across the application.

Decision

Implement Generic Repository pattern with SQLAlchemy 2.0 async support.

Consequences

  • Positive: Consistent API, testable, DRY
  • Negative: Some loss of type safety with **filters
  • Mitigation: Create typed filters per repository

Alternatives

  • Active Record: Rejected - too much responsibility in models
  • Query Objects: Rejected - more complex for current needs

Document Version: 1.0.0-Draft
Last Updated: 2026-04-07
Owner: @spec-architect