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# CI/CD Chaos - The Ultimate Overkill Pipeline
# A deliberately over-engineered GitLab CI pipeline that satirizes DevOps practices
# While demonstrating professional CI/CD implementation skills
stages:
- phase-1-pre-flight-checks
- phase-1-environment-validation
- phase-1-dependency-verification
- phase-1-code-formatting
- phase-1-license-compliance
- phase-1-security-scanning
- phase-1-performance-analysis
- phase-1-quality-gate-validation
- phase-1-readiness-assessment
- phase-2-build-preparation
- phase-2-compilation-optimization
- phase-2-artifact-generation
- phase-2-quality-assurance
- phase-2-integration-testing
- phase-2-performance-benchmarking
- phase-2-security-validation
- phase-2-compliance-checking
- phase-2-documentation-generation
- phase-2-deployment-preparation
- phase-2-rollback-testing
- phase-2-health-verification
- phase-3-environment-preparation
- phase-3-service-orchestration
- phase-3-load-balancing
- phase-3-monitoring-setup
- phase-3-alert-configuration
- phase-3-health-checks
- phase-3-performance-validation
- phase-3-user-acceptance-testing
- phase-3-production-deployment
- phase-3-post-deployment-validation
- celebration
- chaos-report
variables:
CI_CHAOS_LEVEL: 5
ROAST_INTENSITY: 7
CELEBRATION_MODE: "full"
DEVELOPER_CHALLENGE: "true"
PIPELINE_ENTROPY: "maximum"
default:
before_script:
- echo "🎪 CI/CD Chaos Pipeline Initiated"
- echo "📊 Chaos Level: $CI_CHAOS_LEVEL"
- echo "🔥 Roast Intensity: $ROAST_INTENSITY"
- chmod +x scripts/*.sh
# Phase 1: Over-Validation (8 stages of excessive checking)
pre-flight-checks:
stage: phase-1-pre-flight-checks
script:
- echo "✈️ Performing pre-flight validation..."
- scripts/chaos-engine.sh pre-flight
- echo "🛩️ Pre-flight checks completed with unnecessary thoroughness"
artifacts:
reports:
junit: reports/pre-flight.xml
paths:
- reports/
environment-validation:
stage: phase-1-environment-validation
script:
- echo "🌍 Validating build environment..."
- ./scripts/chaos-engine.sh validate-environment
- echo "🏔️ Environment validated (probably)"
dependency-verification:
stage: phase-1-dependency-verification
script:
- echo "📦 Verifying dependencies (triple-checking each one)..."
- ./scripts/chaos-engine.sh verify-dependencies
- echo "🎁 Dependencies verified and re-verified"
code-formatting-checks:
stage: phase-1-code-formatting
script:
- echo "🎨 Checking code formatting (with excessive rules)..."
- ./scripts/chaos-engine.sh format-check
- echo "✨ Code formatted to perfection (and then some)"
license-compliance:
stage: phase-1-license-compliance
script:
- echo "⚖️ Checking license compliance (analyzing every line)..."
- ./scripts/chaos-engine.sh license-check
- echo "📜 License compliance achieved through excessive scrutiny"
security-scanning:
stage: phase-1-security-scanning
script:
- echo "🔒 Running security scans (looking for imaginary threats)..."
- ./scripts/chaos-engine.sh security-scan
- echo "🛡️ Security scan completed (found 0 vulnerabilities, created 47 false positives)"
performance-analysis:
stage: phase-1-performance-analysis
script:
- echo "⚡ Analyzing performance (of files that don't exist)..."
- ./scripts/chaos-engine.sh performance-analysis
- echo "📈 Performance metrics generated with imaginary data"
quality-gate-validation:
stage: phase-1-quality-gate-validation
script:
- echo "🚪 Validating quality gates (with arbitrary standards)..."
- ./scripts/chaos-engine.sh quality-gate
- echo "🎯 Quality gates passed (after lowering standards)"
readiness-assessment:
stage: phase-1-readiness-assessment
script:
- echo "📋 Performing readiness assessment..."
- ./scripts/chaos-engine.sh readiness-check
- echo "✅ System declared ready (whether it is or not)"
# Phase 2: Build Optimization (12 stages of over-engineering)
build-preparation:
stage: phase-2-build-preparation
script:
- echo "🔧 Preparing build environment (overly prepared)..."
- ./scripts/chaos-engine.sh build-prep
- echo "🎯 Build environment prepared (excessively)"
compilation-optimization:
stage: phase-2-compilation-optimization
script:
- echo "🔬 Optimizing compilation (optimizing the optimization)..."
- ./scripts/chaos-engine.sh optimize-build
- echo "🚀 Build optimized (probably made it slower)"
artifact-generation:
stage: phase-2-artifact-generation
script:
- echo "📦 Generating artifacts (creating unnecessary ones)..."
- ./scripts/chaos-engine.sh generate-artifacts
- echo "🎁 Artifacts generated (including ones nobody asked for)"
artifacts:
paths:
- build/
- artifacts/
quality-assurance:
stage: phase-2-quality-assurance
script:
- echo "🔍 Running quality assurance (finding problems where none exist)..."
- ./scripts/chaos-engine.sh quality-assurance
- echo "✅ Quality assured (quality level: questionable)"
integration-testing:
stage: phase-2-integration-testing
script:
- echo "🔗 Running integration tests (testing the tests)..."
- ./scripts/chaos-engine.sh integration-tests
- echo "🎯 Integration tests passed (eventually)"
performance-benchmarking:
stage: phase-2-performance-benchmarking
script:
- echo "⚡ Benchmarking performance (against imaginary standards)..."
- ./scripts/chaos-engine.sh benchmark
- echo "📊 Benchmarks completed (results may vary)"
security-validation:
stage: phase-2-security-validation
script:
- echo "🔒 Validating security (again, for good measure)..."
- ./scripts/chaos-engine.sh security-validation
- echo "🛡️ Security validated (still secure, probably)"
compliance-checking:
stage: phase-2-compliance-checking
script:
- echo "📋 Checking compliance (with made-up regulations)..."
- ./scripts/chaos-engine.sh compliance-check
- echo "✅ Compliance achieved (compliance level: fictional)"
documentation-generation:
stage: phase-2-documentation-generation
script:
- echo "📚 Generating documentation (excessive documentation)..."
- ./scripts/chaos-engine.sh generate-docs
- echo "📖 Documentation generated (nobody will read it)"
artifacts:
paths:
- docs/
deployment-preparation:
stage: phase-2-deployment-preparation
script:
- echo "🚀 Preparing deployment (over-preparing)..."
- ./scripts/chaos-engine.sh deploy-prep
- echo "🎯 Deployment prepared (excessively)"
rollback-testing:
stage: phase-2-rollback-testing
script:
- echo "↩️ Testing rollback capabilities (hoping we don't need them)..."
- ./scripts/chaos-engine.sh rollback-test
- echo "🔄 Rollback tested (and tested, and tested)"
health-verification:
stage: phase-2-health-verification
script:
- echo "🏥 Verifying system health (checking vitals repeatedly)..."
- ./scripts/chaos-engine.sh health-check
- echo "💖 System health verified (patient is stable)"
# Phase 3: Deployment Chaos (10+ stages of unnecessary complexity)
environment-preparation:
stage: phase-3-environment-preparation
script:
- echo "🌍 Preparing deployment environment (overly complex setup)..."
- ./scripts/chaos-engine.sh env-prep
- echo "🏝️ Environment prepared (like a 5-star resort)"
service-orchestration:
stage: phase-3-service-orchestration
script:
- echo "🎻 Orchestrating services (conducting an orchestra of microservices)..."
- ./scripts/chaos-engine.sh orchestrate
- echo "🎼 Services orchestrated (beautifully, yet unnecessarily)"
load-balancing:
stage: phase-3-load-balancing
script:
- echo "⚖️ Setting up load balancing (balancing nothing)..."
- ./scripts/chaos-engine.sh load-balance
- echo "🏋️ Load balanced (perfectly balanced, as all things should be)"
monitoring-setup:
stage: phase-3-monitoring-setup
script:
- echo "📊 Setting up monitoring (monitoring everything, including the monitoring)..."
- ./scripts/chaos-engine.sh monitoring
- echo "📈 Monitoring set up (we can now monitor how much we monitor)"
alert-configuration:
stage: phase-3-alert-configuration
script:
- echo "🚨 Configuring alerts (alerting on everything)..."
- ./scripts/chaos-engine.sh alerts
- echo "📢 Alerts configured (you will be notified of everything)"
health-checks:
stage: phase-3-health-checks
script:
- echo "🏥 Setting up health checks (checking the health of health checks)..."
- ./scripts/chaos-engine.sh health-checks
- echo "❤️ Health checks configured (system is healthy, probably)"
performance-validation:
stage: phase-3-performance-validation
script:
- echo "⚡ Validating performance (validating that performance validates)..."
- ./scripts/chaos-engine.sh perf-validate
- echo "🎯 Performance validated (performance is performing)"
user-acceptance-testing:
stage: phase-3-user-acceptance-testing
script:
- echo "👥 Running user acceptance tests (testing with imaginary users)..."
- ./scripts/chaos-engine.sh uat
- echo "✅ UAT completed (users were satisfied, allegedly)"
production-deployment:
stage: phase-3-production-deployment
script:
- echo "🚀 Deploying to production (with excessive ceremony)..."
- ./scripts/chaos-engine.sh deploy-prod
- echo "🎉 Deployment complete (celebrations commence)"
when: manual
allow_failure: false
post-deployment-validation:
stage: phase-3-post-deployment-validation
script:
- echo "✅ Validating post-deployment state (validating that validation worked)..."
- ./scripts/chaos-engine.sh post-deploy
- echo "🎯 Post-deployment validation successful (system is deployed, probably)"
# Celebration stage - ASCII art and humor
celebration:
stage: celebration
script:
- echo "🎉 Initiating celebration sequence..."
- ./scripts/chaos-engine.sh celebrate
- echo "🎊 Pipeline complete! The chaos has been worth it!"
when: on_success
allow_failure: true
# Chaos report generation
chaos-report:
stage: chaos-report
script:
- echo "📊 Generating chaos report..."
- ./scripts/chaos-engine.sh report
- echo "📋 Chaos report complete. Your pipeline has been successfully over-engineered!"
artifacts:
paths:
- reports/chaos-report.html
reports:
junit: reports/final-report.xml
when: always
allow_failure: true
# Include templates for different environments
include:
- local: config/development.yml
- local: config/production.yml

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# CI/CD Chaos - The Ultimate Overkill Pipeline
A professional demonstration of a deliberately over-engineered CI/CD pipeline that satirizes common industry practices while showcasing actual DevOps skills.
## Overview
CI/CD Chaos is a thoughtfully crafted educational project that demonstrates what happens when good intentions meet excessive complexity. This project serves as both a learning tool and a humorous commentary on modern software development practices.
### Core Philosophy
- **Professional Foundation**: Built with real CI/CD tools and best practices
- **Satirical Elements**: Deliberately over-engineered features that parody common industry anti-patterns
- **Educational Value**: Each "excessive" feature includes documentation explaining the real-world best practices it's mimicking
- **Production-Ready Code**: Despite the humor, the implementation maintains professional standards
## Project Objectives
This project aims to:
- Demonstrate advanced CI/CD pipeline design and implementation
- Showcase GitLab CI/CD capabilities
- Illustrate common DevOps anti-patterns through controlled examples
- Provide entertainment while teaching valuable DevOps concepts
- Serve as a portfolio piece demonstrating both technical skills and industry awareness
## Architecture
### Pipeline Components
1. **Over-Engineered Build Process** (30+ stages)
- Redundant validation checks
- Unnecessary parallelization
- Overly complex dependency management
2. **Automated Code Quality Assessment**
- Code "roasting" with humorous feedback
- Excessive linting rules
- Performance metrics parody
3. **Dynamic Build Management**
- Randomized "challenges" for developers
- Witty error messages on failure
- Gamification elements
4. **Deployment Parody**
- Microservices simulation with unnecessary complexity
- Over-the-top orchestration
- Excessive monitoring and alerts
##Features
### Professional Features
- **GitLab CI/CD Integration**: Complete pipeline configuration
- **Container Support**: Docker-based build environment
- **Multi-Environment Support**: Development, staging, production parity
- **Security Scanning**: Real security checks with humorous reporting
- **Performance Monitoring**: Mock performance metrics
### Satirical Features
- **Code Roast Bot**: Automated code review with humorous comments
- **Random Build Challenges**: 5% chance of "developer challenges"
- **Commit Message Judge**: AI-powered sarcastic feedback on commit quality
- **Over-the-Top Celebrations**: ASCII art and animations for successful builds
- **Documentation Generator**: Produces verbose, meaningless technical documentation
##Quick Start
### Prerequisites
- GitLab account
- Basic knowledge of CI/CD concepts
- Docker (for local testing)
### Setup
1. **Clone the repository**
```bash
git clone https://git.gostacks.org/iwasforcedtobehere/cicd-chaos.git
cd cicd-chaos
```
2. **Configure GitLab CI**
- Push to your GitLab repository
- Ensure GitLab Runner is available
- Review and adjust environment variables as needed
3. **Trigger Your First Build**
```bash
git commit -m "Initial setup - let the chaos begin!"
git push origin main
```
## 📊 Pipeline Stages
The pipeline consists of 30+ deliberately excessive stages:
### Phase 1: Over-Validation (8 stages)
- Environment validation
- Dependency verification
- Code formatting checks
- License compliance
- Security scanning
- Performance analysis
- Quality gate validation
- Readiness assessment
### Phase 2: Build Optimization (12 stages)
- Build preparation
- Compilation optimization
- Artifact generation
- Quality assurance
- Integration testing
- Performance benchmarking
- Security validation
- Compliance checking
- Documentation generation
- Deployment preparation
- Rollback testing
- Health verification
### Phase 3: Deployment Chaos (10+ stages)
- Environment preparation
- Service orchestration
- Load balancing
- Monitoring setup
- Alert configuration
- Health checks
- Performance validation
- User acceptance testing
- Production deployment
- Post-deployment validation
## Satirical Elements Explained
Each humorous feature is designed to highlight real-world DevOps challenges:
| Feature | Real-World Parallel | Educational Value |
|---------|-------------------|------------------|
| Random build failures | Unreliable infrastructure | Importance of robust systems |
| Code roasting | Harsh code reviews | Effective communication skills |
| Over-complexity | Technical debt creep | Simplicity and maintainability |
| Excessive monitoring | Alert fatigue | Meaningful metrics design |
## 🔧 Configuration
### Environment Variables
```bash
# Pipeline Configuration
CI_CHAOS_LEVEL=5 # Chaos intensity (1-10)
ROAST_INTENSITY=7 # Code roast harshness
CELEBRATION_MODE=full # Celebration type (minimal/standard/full)
DEVELOPER_CHALLENGE=true # Enable random challenges
```
### Customization
The pipeline can be customized by modifying:
- `.gitlab-ci.yml` - Main pipeline configuration
- `scripts/chaos-engine.sh` - Chaos logic
- `scripts/roast-bot.py` - Code review humor
- `config/pipeline.yml` - Feature toggles
## Monitoring and Observability
The project includes:
- **Mock Metrics**: Parody of over-zealous monitoring
- **Alert Saturation**: Excessive notification system
- **Dashboard Overload**: Unnecessarily complex visualization
- **Log Explosion**: Verbose logging with entertainment value
## Security Considerations
Despite the humorous nature, the project maintains:
- **Real Security Scans**: Actual vulnerability assessment
- **Compliance Checks**: Genuine regulatory validation
- **Secret Management**: Proper credential handling
- **Audit Trails**: Complete build and deployment logging
## Learning Outcomes
Working with this project will help you understand:
- CI/CD pipeline design principles
- GitLab CI/CD best practices
- Infrastructure as Code concepts
- Monitoring and observability
- Security in DevOps
- The importance of simplicity in complex systems
## Contributing
Contributions are welcome! Please ensure:
- Professional code quality
- Clear documentation
- Appropriate humor level
- Respectful satire that helps rather than harms
## License
This project is licensed under the MIT License - see the LICENSE file for details.
## Acknowledgments
- To every developer who's ever dealt with an overly complex pipeline
- To DevOps engineers fighting the good fight against technical debt
- To the CI/CD tools that make modern software development possible
---
*Built with professional standards and a sense of humor. Remember: the best CI/CD pipeline is the one that works reliably - this one just happens to work reliably while being hilariously over-engineered.*

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# Development Environment Configuration
# Over-engineered configuration for development environment
development:
# Pipeline Configuration
pipeline:
name: "Development Pipeline"
description: "Over-engineered development pipeline with excessive stages"
chaos_level: 8
roast_intensity: 9
celebration_mode: "full"
developer_challenge: true
# Environment Variables
variables:
NODE_ENV: "development"
DEBUG: "true"
LOG_LEVEL: "debug"
CHAOS_ENABLED: "true"
DEVELOPER_MODE: "true"
TESTING_MODE: "true"
# Over-the-top Build Configuration
build:
optimization_level: "maximum"
cache_strategy: "aggressive"
parallel_jobs: 16
debug_symbols: true
profiling: true
memory_limit: "8GB"
timeout: "3600"
# Excessive Testing Configuration
testing:
unit_tests:
enabled: true
framework: "jest"
coverage_threshold: 95
parallel_execution: true
mutation_testing: true
property_based_testing: true
integration_tests:
enabled: true
framework: "cypress"
environment: "development"
database: "test"
mock_services: true
performance_tests:
enabled: true
tool: "k6"
virtual_users: 1000
duration: "30m"
thresholds:
http_req_duration: ["p(95)<200"]
http_req_failed: ["rate<0.01"]
# Security Configuration (overkill for development)
security:
sast:
enabled: true
tools: ["sonarqube", "semgrep", "bandit"]
fail_build: true
dast:
enabled: true
tool: "owasp-zap"
target: "dev-app"
full_scan: true
dependency_scanning:
enabled: true
tools: ["snyk", "dependabot", "npm audit"]
license_checking: true
# Monitoring and Observability (excessive for dev)
monitoring:
metrics:
enabled: true
exporter: "prometheus"
granularity: "1s"
retention: "7d"
logging:
level: "debug"
format: "json"
output: ["console", "file", "elasticsearch"]
file_rotation: true
compression: true
tracing:
enabled: true
service: "jaeger"
sampling_rate: 1.0
baggage: true
# Deployment Configuration (for development)
deployment:
strategy: "blue-green"
auto_rollback: true
health_checks:
enabled: true
endpoint: "/health"
timeout: "30s"
interval: "10s"
# Notification Configuration
notifications:
slack:
enabled: true
webhook: "$SLACK_WEBHOOK"
channel: "#development"
notify_on: ["always"]
email:
enabled: true
recipients: ["dev-team@example.com"]
notify_on: ["failure", "success"]
# Cache Configuration (overkill)
cache:
redis:
enabled: true
host: "redis-dev"
port: 6379
database: 0
ttl: "1h"
cdn:
enabled: true
provider: "cloudflare"
zone: "dev.example.com"
# Database Configuration (excessive for dev)
database:
primary:
type: "postgresql"
host: "postgres-dev"
port: 5432
database: "chaos_dev"
pool_size: 20
ssl: true
backup:
enabled: true
schedule: "0 2 * * *"
retention: "7d"
replica:
type: "postgresql"
host: "postgres-replica-dev"
read_only: true
redis:
host: "redis-dev"
port: 6379
database: 1
# Service Configuration (microservices parody)
services:
api_gateway:
image: "chaos/api-gateway:dev"
replicas: 3
resources:
limits:
memory: "512Mi"
cpu: "500m"
user_service:
image: "chaos/user-service:dev"
replicas: 2
database: "users_db"
auth_service:
image: "chaos/auth-service:dev"
replicas: 2
secrets: ["jwt_secret", "oauth_credentials"]
order_service:
image: "chaos/order-service:dev"
replicas: 2
database: "orders_db"
notification_service:
image: "chaos/notification-service:dev"
replicas: 1
providers: ["email", "sms", "push"]
analytics_service:
image: "chaos/analytics-service:dev"
replicas: 1
database: "analytics_db"
# Load Balancer Configuration
load_balancer:
type: "nginx"
algorithm: "round-robin"
health_check:
enabled: true
interval: "10s"
timeout: "5s"
# SSL/TLS Configuration
ssl:
enabled: true
provider: "letsencrypt"
domain: "dev.example.com"
auto_renewal: true
# Feature Flags Configuration
feature_flags:
provider: "launchdarkly"
environment: "development"
flags:
new_ui: true
advanced_analytics: true
beta_features: true
# Backup Configuration (excessive for dev)
backup:
enabled: true
schedule: "0 3 * * *"
retention: "7d"
compression: true
encryption: true
destinations:
- type: "s3"
bucket: "chaos-backup-dev"
- type: "local"
path: "/backups/dev"
# Disaster Recovery Configuration (overkill for dev)
disaster_recovery:
enabled: true
rpo: "1h"
rto: "4h"
geo_replication: true
failover:
enabled: true
automatic: true
health_check_interval: "30s"

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# Production Environment Configuration
# Seriously over-engineered production configuration
production:
# Pipeline Configuration
pipeline:
name: "Production Pipeline"
description: "Enterprise-grade production pipeline with maximum over-engineering"
chaos_level: 3 # Reduced chaos for production (but still some!)
roast_intensity: 5 # Less roasting in production
celebration_mode: "standard" # Professional celebrations only
developer_challenge: false # No challenges in production
# Environment Variables
variables:
NODE_ENV: "production"
DEBUG: "false"
LOG_LEVEL: "warn"
CHAOS_ENABLED: "false"
DEVELOPER_MODE: "false"
TESTING_MODE: "false"
# Ultra-Optimized Build Configuration
build:
optimization_level: "aggressive"
cache_strategy: "strategic"
parallel_jobs: 32
debug_symbols: false
profiling: false
memory_limit: "16GB"
timeout: "7200"
minification: true
tree_shaking: true
dead_code_elimination: true
# Comprehensive Testing Configuration
testing:
unit_tests:
enabled: true
framework: "jest"
coverage_threshold: 98
parallel_execution: true
mutation_testing: true
property_based_testing: true
performance_regression: true
integration_tests:
enabled: true
framework: "cypress"
environment: "production-like"
database: "production-clone"
mock_services: false
e2e_tests:
enabled: true
framework: "playwright"
browsers: ["chrome", "firefox", "safari", "edge"]
mobile: true
tablet: true
performance_tests:
enabled: true
tool: "k6"
virtual_users: 10000
duration: "2h"
thresholds:
http_req_duration: ["p(99)<500"]
http_req_failed: ["rate<0.001"]
security_tests:
enabled: true
tools: ["owasp-zap", "burp-suite", "clair"]
comprehensive_scan: true
# Enterprise Security Configuration
security:
sast:
enabled: true
tools: ["sonarqube", "semgrep", "bandit", "checkmarx"]
fail_build: true
quality_gate: 95
dast:
enabled: true
tool: "owasp-zap"
target: "prod-app"
full_scan: true
active_scanning: true
dependency_scanning:
enabled: true
tools: ["snyk", "dependabot", "npm audit", "whiteource"]
license_checking: true
compliance_checking: true
compliance:
enabled: true
frameworks: ["SOC2", "ISO27001", "GDPR", "HIPAA", "PCI-DSS"]
automated_auditing: true
# Enterprise Monitoring and Observability
monitoring:
metrics:
enabled: true
exporter: "prometheus"
granularity: "1s"
retention: "30d"
alerting: true
dashboard: "grafana"
logging:
level: "warn"
format: "json"
output: ["elasticsearch", "s3"]
file_rotation: true
compression: true
indexing: true
search: true
tracing:
enabled: true
service: "jaeger"
sampling_rate: 0.1
baggage: true
adaptive_sampling: true
alerting:
enabled: true
provider: "prometheus-alertmanager"
channels: ["slack", "pagerduty", "email"]
escalation_policy: true
incident_management: true
# Production Deployment Configuration
deployment:
strategy: "blue-green"
auto_rollback: true
canary:
enabled: true
initial_weight: 5
increment: 5
interval: "5m"
metrics: ["error_rate", "response_time", "cpu_usage"]
health_checks:
enabled: true
endpoints: ["/health", "/ready", "/live"]
timeout: "30s"
interval: "10s"
success_threshold: 3
failure_threshold: 2
# High Availability Configuration
high_availability:
enabled: true
min_replicas: 3
max_replicas: 10
auto_scaling:
enabled: true
cpu_threshold: 70
memory_threshold: 80
scale_up_cooldown: "5m"
scale_down_cooldown: "15m"
multi_az: true
multi_region: true
disaster_recovery: true
# Enterprise Database Configuration
database:
primary:
type: "postgresql"
version: "14"
instance_type: "db.r6g.4xlarge"
storage: "1000GB"
iops: 20000
multi_az: true
backup:
enabled: true
retention: "30d"
point_in_time_recovery: true
monitoring:
enhanced: true
performance_insights: true
read_replicas:
count: 3
instance_type: "db.r6g.2xlarge"
redis:
cluster_mode: true
node_type: "cache.r6g.2xlarge"
shards: 3
replicas_per_shard: 2
multi_az: true
# Enterprise Service Configuration
services:
api_gateway:
image: "chaos/api-gateway:production"
replicas: 6
resources:
limits:
memory: "2Gi"
cpu: "2000m"
requests:
memory: "1Gi"
cpu: "1000m"
autoscaling:
min_replicas: 4
max_replicas: 12
target_cpu_utilization: 70
user_service:
image: "chaos/user-service:production"
replicas: 4
database: "users_prod"
cache: "redis_users"
auth_service:
image: "chaos/auth-service:production"
replicas: 4
secrets: ["jwt_secret_prod", "oauth_credentials_prod"]
rate_limiting:
enabled: true
requests_per_minute: 1000
order_service:
image: "chaos/order-service:production"
replicas: 6
database: "orders_prod"
queue: "orders_queue"
payment_service:
image: "chaos/payment-service:production"
replicas: 4
pci_compliance: true
audit_logging: true
notification_service:
image: "chaos/notification-service:production"
replicas: 3
providers: ["email", "sms", "push", "webhook"]
queue: "notifications_queue"
analytics_service:
image: "chaos/analytics-service:production"
replicas: 4
database: "analytics_prod"
data_lake: true
# Enterprise Load Balancing
load_balancer:
type: "application"
scheme: "internet-facing"
ssl_policy: "ELBSecurityPolicy-TLS-1-2-2017-01"
waf:
enabled: true
rules: "OWASP"
access_logs:
enabled: true
s3_bucket: "prod-lb-logs"
retention: "365d"
# Enterprise SSL/TLS Configuration
ssl:
enabled: true
provider: "aws-certificate-manager"
domains:
- "api.example.com"
- "www.example.com"
- "admin.example.com"
hsts: true
certificate_transparency: true
# Enterprise Caching Configuration
cache:
cdn:
enabled: true
provider: "cloudflare"
zone: "example.com"
caching_level: "aggressive"
arl: true
image_optimization: true
application:
provider: "redis"
cluster_mode: true
node_count: 6
shard_count: 3
automatic_failover: true
persistence: true
# Enterprise Feature Flags
feature_flags:
provider: "launchdarkly"
environment: "production"
sdk_key: "$LD_SDK_KEY_PROD"
flags:
new_ui: false
advanced_analytics: true
beta_features: false
performance_optimizations: true
# Enterprise Backup Configuration
backup:
enabled: true
schedule: "0 2 * * *"
retention: "90d"
compression: true
encryption: true
cross_region: true
destinations:
- type: "s3"
bucket: "chaos-backup-prod-us-east-1"
region: "us-east-1"
- type: "s3"
bucket: "chaos-backup-prod-us-west-2"
region: "us-west-2"
- type: "glacier"
vault: "chaos-longterm-backup"
retention: "7y"
# Enterprise Disaster Recovery
disaster_recovery:
enabled: true
rpo: "15m"
rto: "1h"
geo_replication: true
failover:
enabled: true
automatic: true
health_check_interval: "30s"
dns_failover: true
backup_region: "us-west-2"
data_replication: "continuous"
# Enterprise Notification Configuration
notifications:
slack:
enabled: true
webhook: "$SLACK_WEBHOOK_PROD"
channel: "#production-alerts"
notify_on: ["failure", "rollback"]
escalation: true
pagerduty:
enabled: true
service_key: "$PAGERDUTY_KEY_PROD"
urgency: "high"
notify_on: ["critical", "error"]
email:
enabled: true
recipients: ["prod-team@example.com", "sre@example.com"]
notify_on: ["failure", "success", "rollback"]
# Enterprise Security Compliance
compliance:
automated_auditing: true
real_time_monitoring: true
compliance_frameworks:
- "SOC2 Type II"
- "ISO 27001"
- "GDPR"
- "HIPAA"
- "PCI-DSS Level 1"
- "FedRAMP"
# Enterprise Cost Optimization
cost_optimization:
enabled: true
rightsizing: true
scheduled_scaling: true
spot_instances: true
resource_cleanup: true
budget_alerts: true
monthly_budget: "$10000"
# Enterprise Support Configuration
support:
level: "enterprise"
response_time: "15m"
24_7_support: true
dedicated_account_manager: true
technical_account_manager: true
sla: "99.99%"

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# CI/CD Chaos Engine - Over-engineered Docker Compose Configuration
# This configuration demonstrates professional multi-container orchestration with satirical complexity
version: '3.8'
services:
# Main chaos engine application
chaos-engine:
build:
context: .
dockerfile: docker/Dockerfile
args:
CHAOS_LEVEL: 8
ROAST_INTENSITY: 9
BUILD_DATE: ${BUILD_DATE:-$(date -u +'%Y-%m-%dT%H:%M:%SZ')}
GIT_COMMIT: ${GIT_COMMIT:-$(git rev-parse --short HEAD 2>/dev/null || echo 'unknown')}
GIT_BRANCH: ${GIT_BRANCH:-$(git rev-parse --abbrev-ref HEAD 2>/dev/null || echo 'unknown')}
container_name: cicd-chaos-engine
restart: unless-stopped
environment:
- CHAOS_LEVEL=8
- ROAST_INTENSITY=9
- CELEBRATION_MODE=full
- DEVELOPER_CHALLENGE=true
- LOG_LEVEL=INFO
- PYTHONUNBUFFERED=1
- PYTHONDONTWRITEBYTECODE=1
volumes:
- ./scripts:/app/scripts:ro
- ./config:/app/config:ro
- ./logs:/app/logs
- ./artifacts:/app/artifacts
- ./reports:/app/reports
ports:
- "8080:8080"
- "9090:9090"
healthcheck:
test: ["CMD", "/app/healthcheck.sh"]
interval: 30s
timeout: 10s
retries: 3
start_period: 40s
networks:
- chaos-network
depends_on:
- redis
- postgres
- grafana
labels:
- "traefik.enable=true"
- "traefik.http.routers.chaos-engine.rule=Host(`chaos.local`)"
- "traefik.http.routers.chaos-engine.entrypoints=web"
- "traefik.http.services.chaos-engine.loadbalancer.server.port=8080"
# Redis cache (overkill for this application)
redis:
image: redis:7-alpine
container_name: cicd-chaos-redis
restart: unless-stopped
command: redis-server --appendonly yes --maxmemory 256mb --maxmemory-policy allkeys-lru
volumes:
- redis_data:/data
- ./config/redis.conf:/etc/redis/redis.conf:ro
ports:
- "6379:6379"
healthcheck:
test: ["CMD", "redis-cli", "ping"]
interval: 10s
timeout: 3s
retries: 3
networks:
- chaos-network
labels:
- "traefik.enable=false"
# PostgreSQL database (excessive for this demo)
postgres:
image: postgres:15-alpine
container_name: cicd-chaos-postgres
restart: unless-stopped
environment:
POSTGRES_DB: chaos_db
POSTGRES_USER: chaos_user
POSTGRES_PASSWORD: ${POSTGRES_PASSWORD:-chaos_password}
PGDATA: /var/lib/postgresql/data/pgdata
volumes:
- postgres_data:/var/lib/postgresql/data
- ./config/postgres/init.sql:/docker-entrypoint-initdb.d/init.sql:ro
- postgres_logs:/var/log/postgresql
ports:
- "5432:5432"
healthcheck:
test: ["CMD-SHELL", "pg_isready -U chaos_user -d chaos_db"]
interval: 10s
timeout: 5s
retries: 5
networks:
- chaos-network
labels:
- "traefik.enable=false"
# Grafana for monitoring (overkill)
grafana:
image: grafana/grafana:10.0.0
container_name: cicd-chaos-grafana
restart: unless-stopped
environment:
GF_SECURITY_ADMIN_PASSWORD: ${GRAFANA_PASSWORD:-admin}
GF_USERS_ALLOW_SIGN_UP: "false"
GF_INSTALL_PLUGINS: "grafana-clock-panel,grafana-simple-json-datasource"
volumes:
- grafana_data:/var/lib/grafana
- ./config/grafana/provisioning:/etc/grafana/provisioning:ro
- ./config/grafana/dashboards:/var/lib/grafana/dashboards:ro
ports:
- "3000:3000"
healthcheck:
test: ["CMD", "wget", "--no-verbose", "--tries=1", "--spider", "http://localhost:3000/api/health"]
interval: 30s
timeout: 10s
retries: 3
networks:
- chaos-network
depends_on:
- postgres
labels:
- "traefik.enable=true"
- "traefik.http.routers.grafana.rule=Host(`grafana.chaos.local`)"
- "traefik.http.routers.grafana.entrypoints=web"
- "traefik.http.services.grafana.loadbalancer.server.port=3000"
# Prometheus for metrics collection (excessive)
prometheus:
image: prom/prometheus:v2.45.0
container_name: cicd-chaos-prometheus
restart: unless-stopped
command:
- '--config.file=/etc/prometheus/prometheus.yml'
- '--storage.tsdb.path=/prometheus'
- '--web.console.libraries=/etc/prometheus/console_libraries'
- '--web.console.templates=/etc/prometheus/consoles'
- '--storage.tsdb.retention.time=200h'
- '--web.enable-lifecycle'
- '--web.enable-admin-api'
volumes:
- prometheus_data:/prometheus
- ./config/prometheus/prometheus.yml:/etc/prometheus/prometheus.yml:ro
- ./config/prometheus/rules:/etc/prometheus/rules:ro
ports:
- "9091:9090"
healthcheck:
test: ["CMD", "wget", "--no-verbose", "--tries=1", "--spider", "http://localhost:9090/-/healthy"]
interval: 30s
timeout: 10s
retries: 3
networks:
- chaos-network
labels:
- "traefik.enable=true"
- "traefik.http.routers.prometheus.rule=Host(`prometheus.chaos.local`)"
- "traefik.http.routers.prometheus.entrypoints=web"
- "traefik.http.services.prometheus.loadbalancer.server.port=9090"
# Nginx reverse proxy (overkill)
nginx:
image: nginx:alpine
container_name: cicd-chaos-nginx
restart: unless-stopped
volumes:
- ./config/nginx/nginx.conf:/etc/nginx/nginx.conf:ro
- ./config/nginx/conf.d:/etc/nginx/conf.d:ro
- nginx_logs:/var/log/nginx
- nginx_cache:/var/cache/nginx
ports:
- "80:80"
- "443:443"
healthcheck:
test: ["CMD", "wget", "--no-verbose", "--tries=1", "--spider", "http://localhost/health"]
interval: 30s
timeout: 10s
retries: 3
networks:
- chaos-network
depends_on:
- chaos-engine
labels:
- "traefik.enable=false"
# Traefik reverse proxy (even more overkill)
traefik:
image: traefik:v2.10
container_name: cicd-chaos-traefik
restart: unless-stopped
command:
- "--api.insecure=true"
- "--providers.docker=true"
- "--providers.docker.exposedbydefault=false"
- "--entrypoints.web.address=:80"
- "--entrypoints.websecure.address=:443"
- "--entrypoints.web.http.redirections.entryPoint.to=websecure"
- "--certificatesresolvers.myresolver.acme.tlschallenge=true"
- "--certificatesresolvers.myresolver.acme.email=chaos@example.com"
- "--certificatesresolvers.myresolver.acme.storage=/letsencrypt/acme.json"
volumes:
- /var/run/docker.sock:/var/run/docker.sock:ro
- traefik_letsencrypt:/letsencrypt
ports:
- "8081:8080" # Traefik dashboard
- "80:80"
- "443:443"
healthcheck:
test: ["CMD", "wget", "--no-verbose", "--tries=1", "--spider", "http://localhost:8080/ping"]
interval: 30s
timeout: 10s
retries: 3
networks:
- chaos-network
labels:
- "traefik.enable=true"
- "traefik.http.routers.traefik.rule=Host(`traefik.chaos.local`)"
- "traefik.http.routers.traefik.entrypoints=web"
- "traefik.http.routers.traefik.service=api@internal"
# Fluentd for log aggregation (excessive)
fluentd:
build:
context: .
dockerfile: docker/fluentd.Dockerfile
container_name: cicd-chaos-fluentd
restart: unless-stopped
volumes:
- ./config/fluentd/conf:/fluentd/etc
- ./logs:/logs
- fluentd_data:/fluentd/log
ports:
- "24224:24224"
- "24224:24224/udp"
networks:
- chaos-network
depends_on:
- elasticsearch
labels:
- "traefik.enable=false"
# Elasticsearch for log storage (way overkill)
elasticsearch:
image: docker.elastic.co/elasticsearch/elasticsearch:8.9.0
container_name: cicd-chaos-elasticsearch
restart: unless-stopped
environment:
- discovery.type=single-node
- "ES_JAVA_OPTS=-Xms512m -Xmx512m"
- xpack.security.enabled=false
volumes:
- elasticsearch_data:/usr/share/elasticsearch/data
ports:
- "9200:9200"
healthcheck:
test: ["CMD-SHELL", "curl -f http://localhost:9200/_cluster/health || exit 1"]
interval: 30s
timeout: 10s
retries: 3
networks:
- chaos-network
labels:
- "traefik.enable=false"
# Kibana for log visualization (excessive)
kibana:
image: docker.elastic.co/kibana/kibana:8.9.0
container_name: cicd-chaos-kibana
restart: unless-stopped
environment:
- ELASTICSEARCH_HOSTS=http://elasticsearch:9200
volumes:
- kibana_data:/usr/share/kibana/data
ports:
- "5601:5601"
healthcheck:
test: ["CMD-SHELL", "curl -f http://localhost:5601/api/status || exit 1"]
interval: 30s
timeout: 10s
retries: 3
networks:
- chaos-network
depends_on:
- elasticsearch
labels:
- "traefik.enable=true"
- "traefik.http.routers.kibana.rule=Host(`kibana.chaos.local`)"
- "traefik.http.routers.kibana.entrypoints=web"
- "traefik.http.services.kibana.loadbalancer.server.port=5601"
# Jaeger for distributed tracing (absolutely overkill)
jaeger:
image: jaegertracing/all-in-one:latest
container_name: cicd-chaos-jaeger
restart: unless-stopped
environment:
- COLLECTOR_OTLP_ENABLED=true
ports:
- "16686:16686" # UI
- "14268:14268" # HTTP collector
- "14250:14250" # gRPC collector
- "4317:4317" # OTLP gRPC
- "4318:4318" # OTLP HTTP
healthcheck:
test: ["CMD", "wget", "--no-verbose", "--tries=1", "--spider", "http://localhost:16686"]
interval: 30s
timeout: 10s
retries: 3
networks:
- chaos-network
labels:
- "traefik.enable=true"
- "traefik.http.routers.jaeger.rule=Host(`jaeger.chaos.local`)"
- "traefik.http.routers.jaeger.entrypoints=web"
- "traefik.http.services.jaeger.loadbalancer.server.port=16686"
# Jenkins for CI/CD (completely overkill for this demo)
jenkins:
image: jenkins/jenkins:lts-jdk17
container_name: cicd-chaos-jenkins
restart: unless-stopped
environment:
- JAVA_OPTS=-Xmx2048m
- JENKINS_OPTS=--httpPort=8081 --httpsPort=-1
volumes:
- jenkins_home:/var/jenkins_home
- /var/run/docker.sock:/var/run/docker.sock:ro
ports:
- "8082:8081"
- "50000:50000"
healthcheck:
test: ["CMD", "curl", "-f", "http://localhost:8081/login"]
interval: 60s
timeout: 10s
retries: 5
networks:
- chaos-network
labels:
- "traefik.enable=true"
- "traefik.http.routers.jenkins.rule=Host(`jenkins.chaos.local`)"
- "traefik.http.routers.jenkins.entrypoints=web"
- "traefik.http.services.jenkins.loadbalancer.server.port=8081"
volumes:
redis_data:
driver: local
postgres_data:
driver: local
postgres_logs:
driver: local
grafana_data:
driver: local
prometheus_data:
driver: local
nginx_logs:
driver: local
nginx_cache:
driver: local
traefik_letsencrypt:
driver: local
fluentd_data:
driver: local
elasticsearch_data:
driver: local
kibana_data:
driver: local
jenkins_home:
driver: local
networks:
chaos-network:
driver: bridge
ipam:
config:
- subnet: 172.20.0.0/16

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# CI/CD Chaos Engine - Over-engineered Docker Container
# This Dockerfile demonstrates professional containerization with satirical over-engineering
# Multi-stage build with excessive optimization
FROM --platform=linux/amd64 alpine:3.18 as base-builder
# Set build arguments with ridiculous defaults
ARG CHAOS_LEVEL=5
ARG ROAST_INTENSITY=7
ARG BUILD_DATE=unknown
ARG GIT_COMMIT=unknown
ARG GIT_BRANCH=unknown
# Install way too many build dependencies
RUN apk add --no-cache \
bash \
curl \
wget \
git \
python3 \
python3-dev \
py3-pip \
py3-setuptools \
py3-wheel \
build-base \
musl-dev \
linux-headers \
openssl-dev \
libffi-dev \
yaml-dev \
json-c-dev \
curl-dev \
ca-certificates \
&& rm -rf /var/cache/apk/*
# Create build directory structure (excessive)
RUN mkdir -p /app/{src,scripts,config,docs,tests,logs,tmp,cache,backups,exports,imports,static,media,templates,data}
# Copy all files (because we're thorough)
COPY . /app/
# Set working directory
WORKDIR /app
# Install Python dependencies with excessive optimization
RUN python3 -m pip install --no-cache-dir --upgrade pip setuptools wheel && \
python3 -m pip install --no-cache-dir \
flask \
fastapi \
uvicorn \
requests \
pyyaml \
click \
rich \
prometheus-client \
structlog \
python-json-logger \
colorama \
tqdm \
psutil \
docker \
kubernetes \
boto3 \
azure-storage-blob \
google-cloud-storage \
redis \
psycopg2-binary \
pymongo \
elasticsearch \
sentry-sdk \
newrelic \
datadog \
slack-sdk \
email-validator \
bcrypt \
cryptography \
jwt \
python-dotenv \
httpx \
aiohttp \
async-timeout \
tenacity \
backoff \
retrying \
pydantic \
marshmallow \
cerberus \
voluptuous \
jsonschema \
tox \
pytest \
pytest-cov \
pytest-mock \
pytest-asyncio \
black \
isort \
flake8 \
mypy \
bandit \
safety \
semgrep \
pre-commit \
shellcheck \
hadolint \
yamllint \
markdownlint-cli2 \
gitlint \
commitizen \
conventional-pre-commit
# Second stage - optimization builder
FROM base-builder as optimizer
# Over-optimization steps
RUN find /usr/local/lib/python3.*/site-packages -name "*.pyc" -delete && \
find /usr/local/lib/python3.*/site-packages -name "*.pyo" -delete && \
find /usr/local/lib/python3.*/site-packages -name "__pycache__" -type d -exec rm -rf {} + 2>/dev/null || true
# Remove unnecessary files (excessive cleanup)
RUN rm -rf /usr/local/lib/python3.*/site-packages/*.egg-info && \
rm -rf /usr/local/lib/python3.*/site-packages/*/tests && \
rm -rf /usr/local/lib/python3.*/site-packages/*/test && \
rm -rf /usr/local/lib/python3.*/site-packages/*/docs && \
rm -rf /usr/local/lib/python3.*/site-packages/*/examples
# Third stage - production build
FROM --platform=linux/amd64 alpine:3.18 as production
# Install only what we actually need (but still overkill)
RUN apk add --no-cache \
bash \
curl \
git \
python3 \
py3-pip \
py3-yaml \
py3-requests \
ca-certificates \
&& rm -rf /var/cache/apk/*
# Create non-root user with excessive configuration
RUN addgroup -g 1001 -S chaos && \
adduser -u 1001 -S chaos -G chaos && \
mkdir -p /app /tmp /var/log/chaos /var/run/chaos && \
chown -R chaos:chaos /app /tmp /var/log/chaos /var/run/chaos
# Copy from optimizer stage
COPY --from=optimizer /usr/local/lib/python3.*/site-packages /usr/local/lib/python3.*/site-packages
COPY --from=optimizer /usr/local/bin /usr/local/bin
# Copy application files
COPY --chown=chaos:chaos . /app/
# Set working directory
WORKDIR /app
# Create directories with excessive permissions
RUN mkdir -p /app/{scripts,config,logs,reports,artifacts,docs,cache,tmp} && \
chmod -R 755 /app && \
chmod -R 777 /app/{logs,cache,tmp}
# Set environment variables (over-engineered)
ENV CHAOS_LEVEL=${CHAOS_LEVEL:-5}
ENV ROAST_INTENSITY=${ROAST_INTENSITY:-7}
ENV CELEBRATION_MODE="full"
ENV DEVELOPER_CHALLENGE="true"
ENV PYTHONUNBUFFERED=1
ENV PYTHONDONTWRITEBYTECODE=1
ENV PYTHONPATH=/app
ENV LOG_LEVEL=INFO
ENV CHAOS_HOME=/app
ENV CHAOS_CONFIG=/app/config
ENV CHAOS_LOGS=/app/logs
ENV CHAOS_CACHE=/app/cache
ENV CHAOS_TMP=/app/tmp
ENV CHAOS_ARTIFACTS=/app/artifacts
ENV BUILD_DATE=${BUILD_DATE}
ENV GIT_COMMIT=${GIT_COMMIT}
ENV GIT_BRANCH=${GIT_BRANCH}
ENV CONTAINER_VERSION=1.0.0
ENV CONTAINER_BUILD=production
ENV HEALTH_CHECK_ENABLED=true
ENV METRICS_ENABLED=true
ENV TRACING_ENABLED=true
ENV DEBUG_MODE=false
ENV PRODUCTION_MODE=true
# Install entrypoint script
COPY docker/entrypoint.sh /entrypoint.sh
RUN chmod +x /entrypoint.sh
# Create health check script
RUN echo '#!/bin/bash' > /app/healthcheck.sh && \
echo 'echo "🎪 CI/CD Chaos Container Health Check"' >> /app/healthcheck.sh && \
echo 'echo "Chaos Level: $CHAOS_LEVEL"' >> /app/healthcheck.sh && \
echo 'echo "Status: Operating with maximum chaos"' >> /app/healthcheck.sh && \
echo 'exit 0' >> /app/healthcheck.sh && \
chmod +x /app/healthcheck.sh
# Expose ports (overkill for this application)
EXPOSE 8080 9090 3000 5000 80 443
# Add labels (excessive metadata)
LABEL maintainer="CI/CD Chaos Team <chaos@example.com>" \
version="1.0.0" \
description="CI/CD Chaos Engine - Over-engineered DevOps Satire" \
chaos.level="${CHAOS_LEVEL}" \
roast.intensity="${ROAST_INTENSITY}" \
build.date="${BUILD_DATE}" \
git.commit="${GIT_COMMIT}" \
git.branch="${GIT_BRANCH}" \
architecture="amd64" \
os="alpine" \
python.version="3.11" \
docker.version="24.0" \
compliance="SOC2,ISO27001,GDPR,HIPAA" \
security.scan.date="2024-01-01" \
quality.gate="passed" \
test.coverage="98.5%" \
performance.rating="excellent"
# Health check (excessive but professional)
HEALTHCHECK --interval=30s --timeout=10s --start-period=40s --retries=3 \
CMD ["/app/healthcheck.sh"]
# Volumes (excessive for this use case)
VOLUME ["/app/logs", "/app/cache", "/app/tmp", "/app/artifacts"]
# Switch to non-root user
USER chaos
# Entry point with excessive ceremony
ENTRYPOINT ["/entrypoint.sh"]
# Default command
CMD ["python3", "-m", "http.server", "8080", "--directory", "/app"]

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#!/bin/bash
# CI/CD Chaos Engine Container Entry Point
# Over-engineered entry point with excessive initialization
set -euo pipefail
# Colors for output
RED='\033[0;31m'
GREEN='\033[0;32m'
YELLOW='\033[1;33m'
BLUE='\033[0;34m'
PURPLE='\033[0;35m'
CYAN='\033[0;36m'
NC='\033[0m' # No Color
# Logging function
log() {
echo -e "${GREEN}[$(date '+%Y-%m-%d %H:%M:%S')]${NC} $1"
}
warn() {
echo -e "${YELLOW}[$(date '+%Y-%m-%d %H:%M:%S')]${NC} $1"
}
error() {
echo -e "${RED}[$(date '+%Y-%m-%d %H:%M:%S')]${NC} $1"
}
chaos_log() {
echo -e "${PURPLE}[CHAOS]${NC} $1"
}
# Function to display ASCII art banner
display_banner() {
echo ""
echo "🎪🎪🎪🎪🎪🎪🎪🎪🎪🎪🎪🎪🎪🎪🎪🎪🎪🎪🎪🎪🎪🎪"
echo "🎪 🎪"
echo "🎪 CI/CD CHAOS ENGINE CONTAINER 🎪"
echo "🎪 🎪"
echo "🎪 Over-engineered DevOps Satire 🎪"
echo "🎪 🎪"
echo "🎪 Chaos Level: ${CHAOS_LEVEL:-5} 🎪"
echo "🎪 Roast Intensity: ${ROAST_INTENSITY:-7} 🎪"
echo "🎪 Celebration Mode: ${CELEBRATION_MODE:-full} 🎪"
echo "🎪 🎪"
echo "🎪 Professional DevOps with Humor 🎪"
echo "🎪 🎪"
echo "🎪🎪🎪🎪🎪🎪🎪🎪🎪🎪🎪🎪🎪🎪🎪🎪🎪🎪🎪🎪🎪🎪"
echo ""
}
# Function to perform container initialization
initialize_container() {
log "🚀 Initializing CI/CD Chaos Engine Container..."
# Create necessary directories
log "📁 Creating directory structure..."
mkdir -p /app/{logs,cache,tmp,artifacts,reports} || true
mkdir -p /var/log/chaos /var/run/chaos || true
# Set permissions
log "🔒 Setting permissions..."
chmod -R 755 /app || true
chmod -R 777 /app/{logs,cache,tmp} || true
# Initialize chaos engine
log "🎪 Initializing chaos engine..."
if [[ -f /app/scripts/chaos-engine.sh ]]; then
chmod +x /app/scripts/chaos-engine.sh || true
fi
# Initialize Python scripts
log "🐍 Setting up Python scripts..."
for script in /app/scripts/*.py; do
if [[ -f "$script" ]]; then
chmod +x "$script" || true
fi
done
# Initialize configuration
log "⚙️ Loading configuration..."
export CHAOS_CONFIG_LOADED=true
# Generate initial chaos report
log "📊 Generating initial chaos report..."
if command -v python3 &> /dev/null && [[ -f /app/scripts/chaos-engine.sh ]]; then
/app/scripts/chaos-engine.sh report 2>/dev/null || true
fi
}
# Function to perform health checks
perform_health_checks() {
log "🏥 Performing container health checks..."
# Check basic functionality
if ! command -v python3 &> /dev/null; then
error "❌ Python3 not found"
exit 1
fi
if ! command -v bash &> /dev/null; then
error "❌ Bash not found"
exit 1
fi
# Check application files
if [[ ! -f /app/README.md ]]; then
warn "⚠️ README.md not found"
fi
if [[ ! -f /app/.gitlab-ci.yml ]]; then
warn "⚠️ GitLab CI configuration not found"
fi
# Check scripts directory
if [[ ! -d /app/scripts ]]; then
warn "⚠️ Scripts directory not found"
else
script_count=$(find /app/scripts -name "*.sh" -o -name "*.py" | wc -l)
log "📜 Found $script_count scripts"
fi
# Check configuration
if [[ ! -d /app/config ]]; then
warn "⚠️ Configuration directory not found"
fi
log "✅ Health checks completed"
}
# Function to setup monitoring (overkill)
setup_monitoring() {
log "📊 Setting up monitoring and observability..."
# Create monitoring directories
mkdir -p /app/monitoring/{metrics,logs,traces}
# Generate mock metrics
cat > /app/monitoring/metrics/prometheus.txt << 'EOF'
# TYPE chaos_level gauge
chaos_level{container="cicd-chaos"} ${CHAOS_LEVEL:-5}
# TYPE roast_intensity gauge
roast_intensity{container="cicd-chaos"} ${ROAST_INTENSITY:-7}
# TYPE celebration_mode gauge
celebration_mode{container="cicd-chaos",mode="${CELEBRATION_MODE:-full}"} 1
# TYPE pipeline_stages gauge
pipeline_stages{container="cicd-chaos"} 30
# TYPE humor_level gauge
humor_level{container="cicd-chaos"} maximum
# TYPE professional_implementation gauge
professional_implementation{container="cicd-chaos"} 100
EOF
# Create log configuration
cat > /app/monitoring/logs/config.yaml << 'EOF'
level: info
format: json
outputs:
- console
- file
- elasticsearch
rotation: true
compression: true
retention: 7d
EOF
log "✅ Monitoring setup completed"
}
# Function to setup security (excessive)
setup_security() {
log "🔒 Setting up security configuration..."
# Create security directory
mkdir -p /app/security/{certs,policies,audits}
# Generate security policies
cat > /app/security/policies/container-security.yaml << 'EOF'
security:
container:
runtime: "runc"
seccomp: true
apparmor: true
no_new_privs: true
read_only_rootfs: false
run_as_non_root: true
capabilities:
drop:
- ALL
add:
- CHOWN
- NET_BIND_SERVICE
resources:
limits:
memory: "512Mi"
cpu: "500m"
requests:
memory: "256Mi"
cpu: "250m"
network:
disabled: false
readonly_rootfs: false
EOF
# Generate audit configuration
cat > /app/security/audits/audit.yaml << 'EOF'
audit:
enabled: true
level: "verbose"
events:
- "process_start"
- "file_access"
- "network_connection"
- "system_call"
output:
- "syslog"
- "file"
retention: "30d"
EOF
log "✅ Security setup completed"
}
# Function to perform chaos rituals
perform_chaos_rituals() {
if [[ "${CHAOS_LEVEL:-5}" -ge 7 ]]; then
chaos_log "🎲 Performing chaos rituals..."
# Random chaos event
local chaos_events=(
"Cosmic alignment check"
"Developer coffee level verification"
"Git commit graph analysis"
"Code quality divination"
"Build speed optimization ritual"
"Documentation completeness blessing"
"Test coverage enhancement ceremony"
"Security scan purification"
"Performance tuning meditation"
"Deployment success prayer"
)
local random_event=${chaos_events[$((RANDOM % ${#chaos_events[@]}))]}
chaos_log "🔮 Performing: $random_event"
sleep 1
chaos_log "✨ Chaos ritual completed successfully"
fi
}
# Function to display container information
display_container_info() {
log "📋 Container Information:"
echo " 🏷️ Version: ${CONTAINER_VERSION:-unknown}"
echo " 🔧 Build: ${CONTAINER_BUILD:-production}"
echo " 🎪 Chaos Level: ${CHAOS_LEVEL:-5}"
echo " 🔥 Roast Intensity: ${ROAST_INTENSITY:-7}"
echo " 🎉 Celebration Mode: ${CELEBRATION_MODE:-full}"
echo " 🎮 Developer Challenge: ${DEVELOPER_CHALLENGE:-true}"
echo " 📅 Build Date: ${BUILD_DATE:-unknown}"
echo " 🔀 Git Commit: ${GIT_COMMIT:-unknown}"
echo " 🌿 Git Branch: ${GIT_BRANCH:-unknown}"
echo " 🐍 Python Version: $(python3 --version 2>/dev/null || echo 'unknown')"
echo " 🐳 Docker Version: $(docker --version 2>/dev/null | head -1 || echo 'unknown')"
echo ""
}
# Function to start the application
start_application() {
log "🚀 Starting CI/CD Chaos Engine..."
# Determine what to run based on command
case "${1:-}" in
"server")
log "🌐 Starting HTTP server..."
python3 -m http.server 8080 --directory /app
;;
"chaos-engine")
log "🎪 Starting chaos engine..."
if [[ -f /app/scripts/chaos-engine.sh ]]; then
/app/scripts/chaos-engine.sh "${2:-report}"
else
error "❌ Chaos engine script not found"
exit 1
fi
;;
"roast-bot")
log "🤖 Starting roast bot..."
if [[ -f /app/scripts/roast-bot.py ]]; then
python3 /app/scripts/roast-bot.py "${2:-/app}"
else
error "❌ Roast bot script not found"
exit 1
fi
;;
"commit-judge")
log "👨‍⚖️ Starting commit message judge..."
if [[ -f /app/scripts/commit-judge.py ]]; then
python3 /app/scripts/commit-judge.py "${2:- --help}"
else
error "❌ Commit judge script not found"
exit 1
fi
;;
"pr-challenge")
log "🎮 Starting PR challenge system..."
if [[ -f /app/scripts/pr-challenge.py ]]; then
python3 /app/scripts/pr-challenge.py "${2:- --help}"
else
error "❌ PR challenge script not found"
exit 1
fi
;;
"shell")
log "🐚 Starting interactive shell..."
exec /bin/bash
;;
*)
log "🎪 Starting default mode..."
echo ""
echo "🎪 CI/CD Chaos Engine - Interactive Mode"
echo "======================================"
echo ""
echo "Available commands:"
echo " server - Start HTTP server"
echo " chaos-engine - Run chaos engine"
echo " roast-bot - Run code roast bot"
echo " commit-judge - Run commit message judge"
echo " pr-challenge - Run PR challenge system"
echo " shell - Start interactive shell"
echo " help - Show this help"
echo ""
echo "Environment Variables:"
echo " CHAOS_LEVEL=${CHAOS_LEVEL:-5}"
echo " ROAST_INTENSITY=${ROAST_INTENSITY:-7}"
echo " CELEBRATION_MODE=${CELEBRATION_MODE:-full}"
echo " DEVELOPER_CHALLENGE=${DEVELOPER_CHALLENGE:-true}"
echo ""
echo "Starting HTTP server on port 8080..."
python3 -m http.server 8080 --directory /app
;;
esac
}
# Main execution
main() {
# Display banner
display_banner
# Initialize container
initialize_container
# Perform health checks
perform_health_checks
# Setup monitoring
setup_monitoring
# Setup security
setup_security
# Perform chaos rituals
perform_chaos_rituals
# Display container information
display_container_info
# Show startup celebration
if [[ "${CELEBRATION_MODE:-full}" == "full" ]]; then
log "🎉 Container initialization complete!"
log "🚀 CI/CD Chaos Engine is ready for maximum over-engineering!"
echo ""
echo "🎊🎊🎊 SUCCESS! 🎊🎊🎊"
echo ""
fi
# Start application
start_application "$@"
}
# Trap signals for graceful shutdown
trap 'log "🛑 Container shutting down..."; exit 0' SIGTERM SIGINT
# Execute main function with all arguments
main "$@"

View File

@@ -0,0 +1,340 @@
# PR Challenge Examples
This file demonstrates the PR Challenge System with sample scenarios and challenges.
## PR Challenge System Overview
The PR Challenge System adds gamification to the pull request process with:
- Random developer challenges (5% chance per PR)
- Humorous rejection reasons (1.5% chance per PR)
- Achievement badges and rewards
- Skill-based challenges in different categories
## Sample PR Scenarios
### Scenario 1: Well-Structured PR
**PR Title**: `feat: add user authentication system`
**PR Description**:
```
Implements JWT-based authentication with the following features:
- User registration and login
- Password hashing with bcrypt
- JWT token generation and validation
- Refresh token mechanism
- Password reset functionality
- Rate limiting for auth endpoints
Technical Implementation:
- Added AuthController with login/register endpoints
- Created User model with encrypted password field
- Implemented JWT middleware for protected routes
- Added password reset email functionality
- Integrated rate limiting middleware
- Updated user interface with auth forms
Testing:
- Added unit tests for auth controller
- Added integration tests for JWT middleware
- Added e2e tests for login/logout flows
Security Considerations:
- Password hashed with bcrypt (salt rounds: 12)
- JWT tokens expire after 15 minutes
- Refresh tokens expire after 7 days
- Rate limiting: 5 attempts per minute
- Input validation and sanitization
- CSRF protection implemented
This PR addresses user story #123 and security requirement #456.
```
**Possible Challenge**:
```
🎪 DEVELOPER CHALLENGE ACTIVATED! 🎪
==================================================
🎯 PR: feat: add user authentication system
🏆 Challenge: The Security Sentinel Challenge
📝 Description: Identify at least one potential security issue in the code changes
🎮 Difficulty: Medium
🎁 Reward: Security Guardian Badge
⏰ Time Limit: 300 seconds
🎲 Accept this challenge to prove your developer skills!
Complete the challenge to earn special recognition!
```
### Scenario 2: PR with Minor Issues
**PR Title**: `update dependencies`
**PR Description**:
```
Updated npm packages to latest versions
- react from 18.0.0 to 18.2.0
- node from 16.0.0 to 18.0.0
- express from 4.17.0 to 4.18.0
```
**Possible Rejection**:
```
🚨 PR REJECTION NOTICE 🚨
==================================================
📋 PR: update dependencies
❌ Reason: This PR triggers my "too perfect" alarm
📖 Explanation:
The code is flawless, the documentation is complete, and the tests pass. This is suspicious.
💡 Suggestion:
Add a minor typo or a TODO comment to make it feel more authentic.
🎮 Appeal Option:
Complete the 'The Documentation Detective' challenge to override this rejection!
Challenge: Find and fix all typos in the PR description and comments
Reward: Proofreader Badge
🎪 Remember: This is all in good fun! Your PR will be processed normally.
These challenges are designed to make the development process more engaging!
```
## Challenge Categories and Examples
### Performance Challenges
#### The Efficiency Expert
**Challenge**: Suggest at least one optimization that would improve performance by 10% or more
**Example Solution**:
```
I notice the user authentication system could be optimized by:
1. **Database Query Optimization**: Add proper indexes to the users table
- Currently: Full table scan on email lookups
- Suggestion: Add unique index on email column
- Expected improvement: 60-80% faster login queries
2. **Token Validation Caching**: Cache JWT token validation results
- Currently: Validating tokens hits the database every time
- Suggestion: Cache valid tokens in Redis with 5-minute TTL
- Expected improvement: 90% reduction in database calls for token validation
3. **Password Hash Caching**: Cache recently used password hashes
- Currently: bcrypt calculation on every login
- Suggestion: Cache successful login hashes for 1 hour
- Expected improvement: 70% faster repeated logins
```
### Security Challenges
#### The Security Sentinel
**Challenge**: Identify at least one potential security issue in the code changes
**Example Solution**:
```
Security Issues Found:
1. **JWT Secret Storage**: The JWT secret is hardcoded in environment variables
- Risk: Secret exposure through environment logging
- Solution: Use secrets management service like AWS Secrets Manager
2. **Rate Limiting Bypass**: The rate limiting only checks by IP address
- Risk: Attackers can rotate IPs to bypass rate limiting
- Solution: Implement IP + user agent + email combination for rate limiting
3. **Password Reset Token**: No expiration time set for password reset tokens
- Risk: Reset tokens remain valid indefinitely
- Solution: Add 1-hour expiration to reset tokens
```
### Quality Challenges
#### The Perfect Review Challenge
**Challenge**: Find at least 3 meaningful improvements in this PR
**Example Solution**:
```
Meaningful Improvements:
1. **Error Handling**: Add specific error types for different authentication failures
- Current: Generic "Authentication failed" message
- Suggestion: Distinguish between "Invalid credentials", "Account locked", "Email not verified"
2. **Documentation**: Add API documentation using OpenAPI/Swagger
- Current: No formal API documentation
- Suggestion: Add swagger annotations to auth endpoints
3. **Test Coverage**: Add edge case testing
- Current: Only happy path testing
- Suggestion: Add tests for invalid inputs, edge cases, and error conditions
4. **Logging**: Add structured logging with correlation IDs
- Current: Basic console.log statements
- Suggestion: Implement structured logging with request tracing
```
### Knowledge Challenges
#### The Git Master Challenge
**Challenge**: Explain the difference between merge, rebase, and squash without looking it up
**Example Solution**:
```
Git Operations Explained:
**Merge**: Combines changes from one branch into another by creating a new merge commit
- Preserves complete history of both branches
- Creates a non-linear history with merge commits
- Good for preserving context of feature development
- Can lead to messy history if used frequently
**Rebase**: Moves the entire feature branch to begin on the tip of the target branch
- Creates linear, clean history
- Rewrites commit history (can be dangerous on shared branches)
- Makes history easier to follow
- Should only be used on local/private branches
**Squash**: Combines multiple commits into a single commit
- Cleans up messy commit history
- Creates a single, cohesive change
- Loses individual commit context
- Good for finalizing features before merging to main
Best Practices:
- Use merge for preserving development context
- Use rebase for cleaning up local branches
- Use squash for finalizing features before PR
- Never rebase shared/public branches
```
### Detail Challenges
#### The Documentation Detective
**Challenge**: Find and fix all typos in the PR description and comments
**Example Solution**:
```
Typos Found and Fixed:
1. Line 15: "implments" → "implements"
2. Line 23: "authenticaion" → "authentication"
3. Line 37: "recieved" → "received"
4. Line 52: "occured" → "occurred"
5. Line 68: "seperate" → "separate"
All typos have been corrected for professional documentation standards.
```
### Style Challenges
#### The Naming Connoisseur
**Challenge**: Suggest better names for at least 2 variables or functions
**Example Solution**:
```
Better Naming Suggestions:
1. Current: `proc_users()` → Suggested: `process_users()`
- Reason: Full word is more descriptive and professional
2. Current: `tmp_data` → Suggested: `temporary_user_data`
- Reason: More descriptive of what the data represents
3. Current: `chk_auth()` → Suggested: `validate_authentication()`
- Reason: Clear verb describes the action being performed
4. Current: `usr_obj` → Suggested: `user_profile`
- Reason: More descriptive and follows naming conventions
```
## Challenge Statistics
### Achievement Badge Categories
- **Performance**: Speed Demon, Performance Badge, Efficiency Expert
- **Quality**: Eagle Eye, Quality Badge, Test Master
- **Security**: Security Guardian, Sentinel Badge, Protector
- **Knowledge**: Git Guru, Expert Badge, Master
- **Detail**: Proofreader, Detective Badge, Perfectionist
- **Style**: Naming Expert, Style Badge, Connoisseur
### Success Metrics
- Average completion time: 2-5 minutes per challenge
- Success rate: 85% (challenges are designed to be achievable)
- Most popular category: Security challenges
- Hardest category: Git knowledge challenges
- Easiest category: Documentation challenges
## Testing the PR Challenge System
### Simulate a PR Review
```bash
# Test the challenge system with a sample PR
python3 scripts/pr-challenge.py --simulate --pr-title "feat: add user authentication system"
# Test with different challenge frequencies
python3 scripts/pr-challenge.py --simulate --challenge-frequency 0.5
# View challenge statistics
python3 scripts/pr-challenge.py --stats
```
### Example Output
```
🎪 PR Review Simulation
========================================
📋 PR Validation:
Overall Score: 85.3%
Status: needs_work
🎮 Challenge Generated!
🎪 DEVELOPER CHALLENGE ACTIVATED! 🎪
==================================================
🎯 PR: feat: add user authentication system
🏆 Challenge: The Security Sentinel Challenge
📝 Description: Identify at least one potential security issue in the code changes
🎮 Difficulty: Medium
🎁 Reward: Security Guardian Badge
⏰ Time Limit: 300 seconds
🎲 Accept this challenge to prove your developer skills!
Complete the challenge to earn special recognition!
🚨 Rejection Generated!
🚨 PR REJECTION NOTICE 🚨
==================================================
📋 PR: feat: add user authentication system
❌ Reason: The cosmic forces are not aligned for this merge
📖 Explanation:
Sometimes the universe sends us signals. Today it says "wait".
💡 Suggestion:
Try again tomorrow when Mercury is not in retrograde.
🎮 Appeal Option:
Complete the 'The Zen Master Challenge' challenge to override this rejection!
Challenge: Review this PR with only constructive, positive feedback
Reward: Zen Master Badge
🎪 PR REVIEW SUMMARY 🎪
==================================================
📋 PR: feat: add user authentication system
📊 Overall Score: 85.3%
🎯 Status: NEEDS_WORK
📋 Detailed Breakdown:
🟢 Code Quality: 90% (23/25)
🟡 Test Coverage: 80% (16/20)
🟢 Documentation: 90% (14/15)
🟡 Performance Impact: 70% (11/15)
🟡 Security Review: 75% (11/15)
🟢 Break Changes: 100% (10/10)
💡 Recommendations:
• Good work! Minor improvements suggested before merge.
• Focus on the areas with the lowest scores.
• Overall, this is a solid contribution.
🎮 SPECIAL NOTICE:
This PR has been selected for a developer challenge!
Check the challenge system for details.
🚨 ATTENTION:
This PR has encountered a... unique situation.
Please check the rejection notice for details.
🚀 Thank you for your contribution!
```
Remember: The PR Challenge System is designed to make development more engaging while maintaining professional standards. All challenges are achievable and educational! 🎪

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@@ -0,0 +1,295 @@
#!/usr/bin/env python3
"""
Sample Code for Roasting - Deliberately Imperfect Code
This file contains examples of code issues that the Roast Bot will identify
"""
import os
import sys
import random
import time
import json
import requests
from typing import Dict, List, Optional, Any
# Global variables (bad practice)
GLOBAL_COUNTER = 0
DATABASE_URL = "localhost"
API_KEY = "secret_key_123"
def very_long_function_with_many_parameters_and_complex_logic(
param1, param2, param3, param4, param5, param6, param7, param8, param9, param10
):
"""
This function is way too long and has too many parameters
It also has very deep nesting and complex logic that's hard to follow
"""
global GLOBAL_COUNTER
# Deep nesting level 1
if param1 == "test":
# Deep nesting level 2
for i in range(100):
# Deep nesting level 3
if i % 2 == 0:
# Deep nesting level 4
for j in range(50):
# Deep nesting level 5
if j % 3 == 0:
# Deep nesting level 6
while GLOBAL_COUNTER < 1000:
# Deep nesting level 7
if random.random() > 0.5:
# Deep nesting level 8
try:
# Deep nesting level 9
result = complex_calculation(i, j, GLOBAL_COUNTER)
GLOBAL_COUNTER += 1
except:
# Bare except clause (bad practice)
pass
return "done"
def complex_calculation(x, y, z):
"""Function with magic numbers and complex logic"""
# Magic numbers
if x * y + z > 42: # Magic number 42
result = x * 1.5 + y * 2.7 - z * 0.3 # More magic numbers
else:
result = (x + y + z) / 3.14 # Magic number 3.14
return result
class UserProcessor:
"""Class with multiple responsibilities and poor design"""
def __init__(self):
self.users = []
self.database_connection = None
self.cache = {}
self.logger = None
self.config = {}
self.metrics = {}
self.session = None
def process_users(self, user_list):
"""Long method doing too many things"""
processed_users = []
for user in user_list:
# Validation logic
if not user.get('name'):
continue
if not user.get('email'):
continue
if not user.get('age'):
continue
# Data transformation
processed_user = {
'name': user['name'].upper(),
'email': user['email'].lower(),
'age': int(user['age']),
'status': 'active',
'created_at': time.time(),
'metadata': {
'source': 'api',
'version': '1.0',
'processed_by': 'UserProcessor'
}
}
# Database operations
try:
self.save_to_database(processed_user)
except Exception as e:
print(f"Error saving user: {e}")
# Cache operations
self.cache[user['email']] = processed_user
# Logging
print(f"Processed user: {processed_user['name']}")
# Metrics
self.metrics['users_processed'] = self.metrics.get('users_processed', 0) + 1
processed_users.append(processed_user)
# Additional processing
self.generate_report(processed_users)
self.send_notifications(processed_users)
self.cleanup_old_data()
return processed_users
def save_to_database(self, user):
"""Database operation with no error handling specifics"""
# This would normally connect to a database
query = f"INSERT INTO users (name, email, age) VALUES ('{user['name']}', '{user['email']}', {user['age']})"
print(f"Executing query: {query}")
def generate_report(self, users):
"""Generate a simple report"""
report = {
'total_users': len(users),
'average_age': sum(u['age'] for u in users) / len(users) if users else 0,
'generated_at': time.time()
}
print(f"Report: {report}")
def send_notifications(self, users):
"""Send notifications to users"""
for user in users:
message = f"Welcome {user['name']}!"
print(f"Sending notification: {message}")
def cleanup_old_data(self):
"""Cleanup old data from database"""
print("Cleaning up old data...")
def function_with_multiple_returns(value):
"""Function with multiple return points"""
if value < 0:
return "negative"
elif value == 0:
return "zero"
elif value < 10:
return "small"
elif value < 100:
return "medium"
else:
return "large"
def function_with_long_line():
"""Function with excessively long line"""
very_long_string = "This is a very long string that exceeds the typical line length limit and should be broken up into multiple lines for better readability and maintainability in the codebase but it's all on one line which is bad practice"
return very_long_string
# TODO: Fix this function later
def deprecated_function():
"""This function is deprecated but still in use"""
print("This function is deprecated and should be removed")
# FIXME: This function has a bug
def buggy_function():
"""Function with known bug"""
result = []
for i in range(10):
result.append(i)
# Bug: This will cause infinite loop
if i == 5:
i = 0 # This resets the loop counter
return result
# HACK: Quick fix for production
def quick_fix():
"""Temporary fix that should be refactored"""
# This is a quick hack to get things working
data = {"temp": True, "fix": "urgent"}
return json.dumps(data)
def regex_complexity():
"""Function with overly complex regular expression"""
import re
# Complex regex that's hard to understand
complex_pattern = r'^((?P<protocol>https?|ftp):\/\/)?((?P<user>[^:@]+)(?::(?P<password>[^@]+))?@)?(?P<host>[^\/?:]+)(?::(?P<port>\d+))?(?P<path>\/[^?]*)?(?:\?(?P<query>[^#]*))?(?:#(?P<fragment>.*))?$'
text = "https://user:pass@example.com:8080/path?query=value#fragment"
match = re.match(complex_pattern, text)
if match:
return match.groupdict()
return None
def duplicate_code_example():
"""Example of code duplication"""
# Processing user data
users = [{"name": "Alice", "age": 25}, {"name": "Bob", "age": 30}]
# Duplicate processing logic
for user in users:
if user['age'] >= 18:
print(f"{user['name']} is an adult")
user['status'] = 'adult'
else:
print(f"{user['name']} is a minor")
user['status'] = 'minor'
# Duplicate logic with slight variation
for user in users:
if user['age'] >= 21:
print(f"{user['name']} can drink alcohol")
user['can_drink'] = True
else:
print(f"{user['name']} cannot drink alcohol")
user['can_drink'] = False
def unused_variables():
"""Function with unused variables"""
active = True
debug_mode = False
version = "1.0.0"
timestamp = time.time()
# Many variables defined but never used
config = {"setting1": True, "setting2": False}
metadata = {"created": timestamp, "version": version}
temp_data = []
# Only one variable is actually used
print(f"Application version: {version}")
def deep_function_nesting():
"""Function with extremely deep nesting"""
data = {"users": []}
# Level 1
if data.get("users"):
# Level 2
for user in data["users"]:
# Level 3
if user.get("active"):
# Level 4
if user.get("profile"):
# Level 5
if user["profile"].get("settings"):
# Level 6
if user["profile"]["settings"].get("notifications"):
# Level 7
if user["profile"]["settings"]["notifications"].get("email"):
# Level 8
if user["profile"]["settings"]["notifications"]["email"].get("enabled"):
# Level 9
if user["profile"]["settings"]["notifications"]["email"]["enabled"] == True:
# Level 10
print("Email notifications enabled")
# Level 11
for preference in user["profile"]["settings"]["notifications"]["email"].get("preferences", []):
# Level 12
if preference.get("active"):
# Level 13
print(f"Processing preference: {preference['name']}")
if __name__ == "__main__":
# Run some of the problematic functions
print("Running sample code with various issues...")
# This will demonstrate the code issues
very_long_function_with_many_parameters_and_complex_logic(
"test", 1, 2, 3, 4, 5, 6, 7, 8, 9, 10
)
processor = UserProcessor()
sample_users = [
{"name": "Alice", "email": "alice@example.com", "age": 25},
{"name": "Bob", "email": "bob@example.com", "age": 30}
]
processor.process_users(sample_users)
print("Sample code execution complete!")
print("This code contains many issues that the Roast Bot will identify!")

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# Sample Commit Messages for CI/CD Chaos
This file contains examples of commit messages that would be judged by the AI Commit Message Judge.
## Excellent Commit Messages (Grade A+)
### Conventional Commits
```
feat(auth): add OAuth2 integration for third-party providers
Implement OAuth2 authentication flow for Google, GitHub, and Microsoft
providers. This allows users to sign in using their existing accounts instead
of creating new credentials.
Technical details:
- Added OAuth2 client configuration
- Implemented token validation and refresh
- Created user profile synchronization
- Updated login UI with provider buttons
- Added security headers for CSRF protection
This addresses user feedback requesting easier sign-in options and should
increase user conversion rates.
BREAKING CHANGE: Removed basic authentication for new sign-ups
```
```
fix(api): resolve memory leak in user service
Fixed memory leak in user service where cached user objects were not properly
cleared from memory after session timeout. This was causing gradual memory
consumption increase leading to service restarts every 24 hours.
The issue was in the cache eviction logic where the cleanup task wasn't
properly removing expired entries from all cache layers.
Metrics show memory usage decreased by 40% after this fix.
```
### Well-Structured Feature
```
feat: implement real-time notifications
Add WebSocket-based real-time notification system that allows users to receive
instant updates for their activities. This replaces the previous polling-based
system and reduces server load by 60%.
Key features:
- Real-time message delivery
- Connection state management
- Offline message queuing
- Battery-efficient background syncing
- Push notification integration
Performance improvements:
- Reduced API calls from 6/min to 1/session
- Decreased server CPU usage by 25%
- Improved user experience with instant feedback
Closes #1234, #5678
```
## Good Commit Messages (Grade B)
### Clear and Concise
```
feat: add user profile caching
Implement Redis-based caching for user profiles to reduce database queries.
Cache keys include user ID and last modified timestamp for automatic invalidation.
```
```
fix: resolve login page styling issues
Fixed CSS compatibility issues with Safari and improved mobile responsiveness.
Added proper viewport meta tag and fixed flexbox layout problems.
```
## Needs Improvement (Grade C)
### Vague Description
```
update files
Updated several configuration files and added new logging functionality.
```
```
fix bug
Fixed the authentication bug that was preventing users from logging in.
```
## Poor Commit Messages (Grade D)
### Too Short
```
wip
```
```
stuff
```
### Too Long
```
I made a lot of changes to the codebase today. I fixed some bugs in the authentication system, added new features to the user interface, updated the database schema, modified the API endpoints, added unit tests, integrated third-party services, configured deployment settings, and updated documentation. This was a really big day of coding and I'm tired but proud of what I accomplished. The team will be happy with these improvements.
Let me break down what I did:
1. Authentication fixes
2. UI improvements
3. Database changes
4. API updates
5. Testing
6. Third-party integration
7. Deployment
8. Documentation
I think that covers everything. Let me know if you have any questions!
```
## Terrible Commit Messages (Grade F)
### Unprofessional
```
lol this commit fixes everything trust me
I don't know what I did but it works now. Magic!
```
```
why doesn't this work?????
I've been trying to fix this for hours. Maybe this will work?
```
### Violates Best Practices
```
Fixed the thing.
Not sure what I changed but it's working now.
Don't touch this code!
```
```
commit
This is a commit. Yes it is.
```
## Challenge Examples for Commit Message Judge
### The Conventional Commit Challenge
```
feat(payment): integrate Stripe payment processing
Add Stripe integration for processing credit card payments. Includes:
- Payment form validation
- Card tokenization
- Transaction processing
- Error handling
- Webhook integration for payment status updates
Implements requirements from payment processing specification.
```
### The Perfect Imperative Challenge
```
Refactor user service to improve code maintainability
Extract common functionality into helper methods and improve error handling.
Add comprehensive unit tests and update documentation.
```
### The Minimalist Masterpiece
```
Fix typo in user registration email template.
```
## Humorous Examples (That Still Follow Best Practices)
```
feat: add coffee machine integration to office dashboard
Connect office coffee machine to dashboard API for real-time monitoring.
Tracks coffee levels, brewing status, and maintenance needs.
Prevents developers from encountering empty coffee pots during critical coding sessions.
Should improve team productivity by 42% (unofficial metric).
```
```
fix: resolve infinite loop in Friday afternoon code
Fixed bug where Friday afternoon code created infinite loop due to
developer's brain being on weekend mode. Added proper exit condition.
Note: This only happens on Fridays between 4-6 PM. Coincidence? I think not.
```
## Testing Examples
### Test your commit messages with the AI Judge:
```bash
# Judge a single commit message
python3 scripts/commit-judge.py "feat: add user authentication system"
# Judge a multi-line commit message
python3 scripts/commit-judge.py "feat: add user authentication system
Implement JWT-based authentication with password hashing and session management.
Added security middleware and rate limiting to prevent brute force attacks."
# Generate a writing challenge
python3 scripts/commit-judge.py --challenge
```
Remember: Good commit messages help your team understand what changed and why.
The AI Commit Message Judge is here to help you improve your commit hygiene! 🎪

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#!/usr/bin/env python3
"""
AI Commit Message Judge - Sarcastic AI that judges commit messages
This script provides humorous feedback on commit message quality while demonstrating real best practices
"""
import re
import random
import json
from datetime import datetime
from typing import Dict, List, Tuple, Optional
class CommitMessageJudge:
"""Professional commit message analysis with entertaining feedback"""
def __init__(self, strictness: int = 7):
self.strictness = min(10, max(1, strictness))
self.score_history = []
# Professional commit message standards
self.conventional_commit_types = [
'feat', 'fix', 'docs', 'style', 'refactor', 'perf', 'test', 'chore', 'ci', 'build', 'revert'
]
self.commit_best_practices = {
'imperative_mood': {
'description': 'Use imperative mood (e.g., "Add feature" not "Added feature")',
'regex': r'^(?:fix|feat|docs|style|refactor|perf|test|chore|ci|build|revert)\s+\w+',
'weight': 15
},
'proper_capitalization': {
'description': 'Capitalize the subject line',
'regex': r'^[A-Z]',
'weight': 10
},
'no_period_at_end': {
'description': 'Do not end subject line with period',
'regex': r'[.]$',
'weight': 10,
'negative': True # Should NOT match
},
'reasonable_length': {
'description': 'Keep subject line under 72 characters',
'weight': 15
},
'separate_subject_body': {
'description': 'Separate subject from body with blank line',
'weight': 10
},
'explain_what_and_why': {
'description': 'Explain what and why in body',
'weight': 20
},
'use_conventional_types': {
'description': 'Use conventional commit types',
'weight': 20
}
}
# Sarcastic feedback templates
self.feedback_templates = {
'excellent': [
"🎯 Perfect commit message! Are you sure you're human? This is too good!",
"🏆 Commit message excellence achieved! The git gods are pleased.",
"⭐ 10/10 would commit again! This is how it's supposed to be done.",
"🎉 This commit message is a work of art. Display it in a museum!",
"🚀 Peak commit message performance! You've reached git nirvana!"
],
'good': [
"👍 Solid commit message! You're definitely not a beginner.",
"🎨 Good work! This commit message shows you care about quality.",
"✨ Nice commit message! Your future self will thank you.",
"📚 Professional commit message! Textbook example right here.",
"🎪 Great commit message! You're making the world a better place, one commit at a time."
],
'needs_improvement': [
"🤔 This commit message has room for improvement. Don't worry, we all start somewhere!",
"📝 Your commit message is like a rough draft - good ideas, needs polishing.",
"🎭 Interesting commit message choice! Bold, if not conventional.",
"🔍 I can see what you were going for here. Almost there!",
"📖 This commit message tells a story... though it could use some editing."
],
'poor': [
"😅 Well, that's certainly a commit message! I've seen worse... I think.",
"🤪 This commit message has more personality than professional standards.",
"🎲 Rolling the dice on this commit message quality. Snake eyes!",
"📜 This commit message is like a mystery novel - the plot is unclear.",
"🎭 Your commit message is performance art! Unfortunately, the audience is confused."
],
'terrible': [
"🚨 Commit message emergency! Send help! Or at least a style guide!",
"💀 This commit message died so your code could live. RIP quality.",
"🎪 Congratulations! You've achieved peak chaos in commit messaging!",
"📝 This commit message is why linters were invented. Use them.",
"🎲 Your commit message quality is random. Unfortunately, it rolled a 1."
]
}
# Specific issue feedback
self.specific_feedback = {
'too_long': [
"This commit message is longer than the actual changes. Novel!",
"Did you write your entire life story in this commit message?",
"This commit message has more words than a Shakespearean play.",
"I got tired reading this commit message. Consider brevity!"
],
'too_short': [
"This commit message is shorter than a developer's coffee break.",
"Is this a commit message or a tweet? Wait, tweets are longer.",
"Brevity is good, but this is approaching telegraph levels.",
"Your commit message is so concise, it's almost invisible!"
],
'missing_body': [
"This commit has a great title but no plot. Where's the story?",
"The subject line is promising, but the body is on vacation.",
"Your commit message is all hat and no cattle!",
"Good start, but this commit needs more explanation in the body."
],
'bad_formatting': [
"This commit message formatting is like abstract art - interpretive.",
"The formatting suggests you discovered the space bar recently.",
"Your commit message structure is... unique. Let's call it that.",
"I've seen more organized formatting in a Jackson Pollock painting."
],
'vague_description': [
"This commit message is as clear as mud. What did you actually do?",
"Your commit message is more mysterious than a detective novel.",
"I need a crystal ball to understand what this commit does.",
"This commit message is the opposite of informative. Quite impressive!"
]
}
def analyze_commit_message(self, message: str, files_changed: List[str] = None) -> Dict:
"""Analyze a commit message against best practices"""
lines = message.strip().split('\n')
subject = lines[0] if lines else ''
body = '\n'.join(lines[1:]) if len(lines) > 1 else ''
score = 0
feedback = []
details = {}
# Check each best practice
for practice, config in self.commit_best_practices.items():
practice_score = self._check_practice(practice, subject, body, config)
score += practice_score
details[practice] = practice_score
# Generate feedback for this practice
if practice_score < config['weight'] * 0.7: # Less than 70% of max score
feedback.append(self._generate_practice_feedback(practice, practice_score, config))
# Additional analysis
analysis = {
'message': message,
'subject': subject,
'body': body,
'score': score,
'max_score': sum(config['weight'] for config in self.commit_best_practices.values()),
'percentage': (score / sum(config['weight'] for config in self.commit_best_practices.values())) * 100,
'feedback': feedback,
'details': details,
'grade': self._calculate_grade(score),
'files_changed': files_changed or [],
'timestamp': datetime.now().isoformat()
}
return analysis
def _check_practice(self, practice: str, subject: str, body: str, config: Dict) -> int:
"""Check a specific commit message practice"""
if practice == 'imperative_mood':
# Check if first word after type is in base form
words = subject.split()
if len(words) >= 2 and words[0] in self.conventional_commit_types:
# Simple check - should be improved for real implementation
return config['weight'] if len(words) >= 2 else 0
return config['weight'] * 0.5 if subject else 0
elif practice == 'proper_capitalization':
return config['weight'] if subject and subject[0].isupper() else 0
elif practice == 'no_period_at_end':
return config['weight'] if not subject.endswith('.') else 0
elif practice == 'reasonable_length':
return config['weight'] if len(subject) <= 72 else max(0, config['weight'] - (len(subject) - 72) * 2)
elif practice == 'separate_subject_body':
if body:
# Check if there's a blank line between subject and body
lines = [line.strip() for line in body.split('\n') if line.strip()]
return config['weight'] if not lines else config['weight'] * 0.5
return config['weight'] # No body needed is fine
elif practice == 'explain_what_and_why':
if body:
# Simple check for explanation presence
has_what = any(word in body.lower() for word in ['what', 'this', 'change', 'add', 'fix', 'update'])
has_why = any(word in body.lower() for word in ['why', 'because', 'due', 'since', 'reason'])
return config['weight'] if has_what and has_why else config['weight'] * 0.5
return 0
elif practice == 'use_conventional_types':
first_word = subject.split()[0] if subject else ''
return config['weight'] if first_word in self.conventional_commit_types else 0
return 0
def _generate_practice_feedback(self, practice: str, score: int, config: Dict) -> str:
"""Generate feedback for a specific practice"""
description = config['description']
max_score = config['weight']
if score >= max_score * 0.9:
return f"{description}: Excellent!"
elif score >= max_score * 0.7:
return f"📝 {description}: Good, could be better"
else:
return f"⚠️ {description}: Needs attention"
def _calculate_grade(self, score: int) -> str:
"""Calculate letter grade based on score"""
max_score = sum(config['weight'] for config in self.commit_best_practices.values())
percentage = (score / max_score) * 100
if percentage >= 95:
return 'A+'
elif percentage >= 90:
return 'A'
elif percentage >= 85:
return 'A-'
elif percentage >= 80:
return 'B+'
elif percentage >= 75:
return 'B'
elif percentage >= 70:
return 'B-'
elif percentage >= 65:
return 'C+'
elif percentage >= 60:
return 'C'
elif percentage >= 55:
return 'C-'
elif percentage >= 50:
return 'D'
else:
return 'F'
def generate_judgment(self, analysis: Dict) -> str:
"""Generate a complete judgment with humor"""
score = analysis['score']
max_score = analysis['max_score']
percentage = analysis['percentage']
grade = analysis['grade']
judgment_lines = []
# Header
judgment_lines.append("🎪 AI Commit Message Judge")
judgment_lines.append("=" * 50)
judgment_lines.append(f"📝 Commit: {analysis['subject'][:50]}{'...' if len(analysis['subject']) > 50 else ''}")
judgment_lines.append(f"📊 Score: {score}/{max_score} ({percentage:.1f}%)")
judgment_lines.append(f"🎯 Grade: {grade}")
judgment_lines.append("")
# Grade-based overall feedback
if percentage >= 90:
overall_feedback = random.choice(self.feedback_templates['excellent'])
elif percentage >= 80:
overall_feedback = random.choice(self.feedback_templates['good'])
elif percentage >= 60:
overall_feedback = random.choice(self.feedback_templates['needs_improvement'])
elif percentage >= 40:
overall_feedback = random.choice(self.feedback_templates['poor'])
else:
overall_feedback = random.choice(self.feedback_templates['terrible'])
judgment_lines.append("🎭 Overall Assessment:")
judgment_lines.append(f" {overall_feedback}")
judgment_lines.append("")
# Specific feedback
if analysis['feedback']:
judgment_lines.append("🔍 Areas for Improvement:")
for feedback in analysis['feedback']:
judgment_lines.append(f" {feedback}")
judgment_lines.append("")
# Detailed breakdown
judgment_lines.append("📋 Detailed Analysis:")
for practice, score in analysis['details'].items():
max_possible = next(config['weight'] for config in self.commit_best_practices.values()
if practice in config)
percentage = (score / max_possible) * 100
emoji = "🟢" if percentage >= 80 else "🟡" if percentage >= 60 else "🔴"
judgment_lines.append(f" {emoji} {self.commit_best_practices[practice]['description']}: {score}/{max_possible}")
judgment_lines.append("")
# Additional observations
additional_feedback = self._generate_additional_observations(analysis)
if additional_feedback:
judgment_lines.append("🎯 Additional Observations:")
for observation in additional_feedback:
judgment_lines.append(f" {observation}")
judgment_lines.append("")
# Encouragement
encouragement = self._generate_encouragement(percentage)
judgment_lines.append("💪 Professional Tip:")
judgment_lines.append(f" {encouragement}")
return "\n".join(judgment_lines)
def _generate_additional_observations(self, analysis: Dict) -> List[str]:
"""Generate additional humorous observations"""
observations = []
subject = analysis['subject']
body = analysis['body']
files = analysis['files_changed']
# Subject length observations
if len(subject) > 100:
observations.append(random.choice(self.specific_feedback['too_long']))
elif len(subject) < 10:
observations.append(random.choice(self.specific_feedback['too_short']))
# Body observations
if len(body.strip()) == 0 and len(files) > 3:
observations.append(random.choice(self.specific_feedback['missing_body']))
# Content observations
if 'fix' in subject.lower() and 'bug' in subject.lower():
observations.append("Fixing a bug and mentioning 'bug' - how refreshingly direct!")
if 'update' in subject.lower() and 'readme' in subject.lower():
observations.append("Updating the README - the hero we need but don't deserve!")
if 'wip' in subject.lower():
observations.append("Work In Progress - the three words every developer loves to see!")
if len(files) > 20:
observations.append(f"Changing {len(files)} files in one commit? Bold move!")
return observations
def _generate_encouragement(self, percentage: float) -> str:
"""Generate encouraging feedback"""
encouragements = [
"Great commit messages make git history easier to understand!",
"Following conventional commits makes automation and tooling much easier.",
"Good commit messages are a gift to your future self and your team.",
"The best commit messages explain what changed and why it matters.",
"Remember: commit messages are documentation that travels with your code.",
"Think of commit messages as telling a story about your code's evolution.",
"Good commit messages don't just describe what was done, but why it was necessary.",
"Your commit message is often the first thing others see about your work.",
"Treat each commit message as an opportunity to communicate clearly.",
"Well-crafted commit messages demonstrate professionalism and attention to detail."
]
return random.choice(encouragements)
def judge_recent_commits(self, num_commits: int = 5) -> List[Dict]:
"""Judge recent commits (mock implementation)"""
# In a real implementation, this would use git commands
# For demonstration, we'll create mock commit data
mock_commits = [
"feat: add user authentication system",
"fix: resolve login bug",
"Update README",
"wip: implementing payment processing",
"refactor: improve code structure and performance"
]
judgments = []
for commit in mock_commits[:num_commits]:
analysis = self.analyze_commit_message(commit)
judgment = self.generate_judgment(analysis)
judgments.append({
'commit': commit[:50] + '...' if len(commit) > 50 else commit,
'grade': analysis['grade'],
'score': analysis['percentage'],
'judgment': judgment
})
return judgments
def generate_commit_challenge(self) -> str:
"""Generate a fun commit message challenge"""
challenges = [
{
'title': 'The Conventional Commit Challenge',
'description': 'Write a commit message using conventional commit format with proper type and scope',
'example': 'feat(auth): add OAuth2 integration for third-party providers'
},
{
'title': 'The Perfect Imperative Challenge',
'description': 'Write a commit message in proper imperative mood that explains what and why',
'example': 'Add user profile caching to reduce database load by 40%'
},
{
'title': 'The Minimalist Masterpiece',
'description': 'Write a clear, concise commit message under 50 characters that still explains the change',
'example': 'Fix typo in user registration email template'
},
{
'title': 'The Storyteller Special',
'description': 'Write a commit message with a clear subject line and detailed body explaining context',
'example': 'feat: implement real-time notifications\n\nUsers can now receive instant notifications when their profile is viewed. This addresses the long-standing request for better engagement features and should increase user retention.\n\nTechnical details:\n- Added WebSocket server\n- Implemented push notification service\n- Updated user interface components'
}
]
return random.choice(challenges)
def main():
import argparse
parser = argparse.ArgumentParser(description='AI Commit Message Judge - Professional analysis with humor')
parser.add_argument('message', nargs='?', help='Commit message to judge')
parser.add_argument('--strictness', '-s', type=int, default=7,
help='Judge strictness (1-10, default: 7)')
parser.add_argument('--recent', '-r', type=int, help='Judge recent N commits')
parser.add_argument('--challenge', '-c', action='store_true',
help='Generate a commit message writing challenge')
parser.add_argument('--output', '-o', help='Output file for judgment')
args = parser.parse_args()
judge = CommitMessageJudge(args.strictness)
if args.challenge:
challenge = judge.generate_commit_challenge()
print("🎪 Commit Message Challenge!")
print("=" * 40)
print(f"🎯 {challenge['title']}")
print(f"📝 {challenge['description']}")
print(f"💡 Example: {challenge['example']}")
return
if args.recent:
judgments = judge.judge_recent_commits(args.recent)
print("🎪 Recent Commit Judgments")
print("=" * 40)
for i, judgment in enumerate(judgments, 1):
print(f"\n{i}. {judgment['commit']} (Grade: {judgment['grade']}, Score: {judgment['score']:.1f}%)")
print("-" * 50)
print(judgment['judgment'])
return
if not args.message:
print("Please provide a commit message to judge, or use --recent or --challenge")
parser.print_help()
return
analysis = judge.analyze_commit_message(args.message)
judgment = judge.generate_judgment(analysis)
print(judgment)
if args.output:
with open(args.output, 'w', encoding='utf-8') as f:
f.write(judgment)
print(f"\n📄 Judgment saved to: {args.output}")
if __name__ == "__main__":
main()

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#!/usr/bin/env python3
"""
PR Challenge System - Random developer challenges and PR rejections
This script adds gamification and humor to the pull request process
"""
import random
import json
import time
from datetime import datetime
from typing import Dict, List, Optional
class PRChallengeSystem:
"""Professional PR review system with entertaining challenges"""
def __init__(self, challenge_frequency: float = 0.05):
self.challenge_frequency = min(1.0, max(0.0, challenge_frequency))
self.challenges_completed = []
self.challenges_failed = []
# Developer challenges
self.developer_challenges = [
{
'title': 'The Speed Code Challenge',
'description': 'Complete this PR review in under 2 minutes',
'time_limit': 120,
'difficulty': 'medium',
'reward': 'Speed Demon Badge',
'category': 'performance'
},
{
'title': 'The Perfect Review Challenge',
'description': 'Find at least 3 meaningful improvements in this PR',
'requirements': {'min_improvements': 3},
'difficulty': 'hard',
'reward': 'Eagle Eye Badge',
'category': 'quality'
},
{
'title': 'The Git Master Challenge',
'description': 'Explain the difference between merge, rebase, and squash without looking it up',
'validation_function': 'validate_git_knowledge',
'difficulty': 'medium',
'reward': 'Git Guru Badge',
'category': 'knowledge'
},
{
'title': 'The Documentation Detective',
'description': 'Find and fix all typos in the PR description and comments',
'difficulty': 'easy',
'reward': 'Proofreader Badge',
'category': 'detail'
},
{
'title': 'The Code Archaeologist',
'description': 'Identify the oldest file in this PR and explain its historical significance',
'difficulty': 'hard',
'reward': 'History Buff Badge',
'category': 'investigation'
},
{
'title': 'The Zen Master Challenge',
'description': 'Review this PR with only constructive, positive feedback',
'difficulty': 'medium',
'reward': 'Zen Master Badge',
'category': 'attitude'
},
{
'title': 'The Efficiency Expert',
'description': 'Suggest at least one optimization that would improve performance by 10% or more',
'difficulty': 'hard',
'reward': 'Performance Badge',
'category': 'optimization'
},
{
'title': 'The Security Sentinel',
'description': 'Identify at least one potential security issue in the code changes',
'difficulty': 'medium',
'reward': 'Security Guardian Badge',
'category': 'security'
},
{
'title': 'The Testing Tyrant',
'description': 'Suggest at least 2 test cases that should be added',
'difficulty': 'medium',
'reward': 'Test Master Badge',
'category': 'testing'
},
{
'title': 'The Naming Connoisseur',
'description': 'Suggest better names for at least 2 variables or functions',
'difficulty': 'easy',
'reward': 'Naming Expert Badge',
'category': 'style'
}
]
# PR rejection reasons (humorous but professional)
self.rejection_reasons = [
{
'reason': 'The cosmic forces are not aligned for this merge',
'explanation': 'Sometimes the universe sends us signals. Today it says "wait".',
'suggestion': 'Try again tomorrow when Mercury is not in retrograde.',
'severity': 'cosmic'
},
{
'reason': 'This PR triggers my "too perfect" alarm',
'explanation': 'The code is flawless, the documentation is complete, and the tests pass. This is suspicious.',
'suggestion': 'Add a minor typo or a TODO comment to make it feel more authentic.',
'severity': 'suspicious'
},
{
'reason': 'Insufficient coffee was consumed during development',
'explanation': 'Our coffee analysis shows this PR was created with suboptimal caffeine levels.',
'suggestion': 'Drink at least 2 cups of coffee and try again.',
'severity': 'biological'
},
{
'reason': 'The PR violates the laws of physics',
'explanation': 'This code claims to do the impossible. We admire the ambition.',
'suggestion': 'Check if you\'ve accidentally invented a perpetual motion machine.',
'severity': 'scientific'
},
{
'reason': 'The Git commit graph forms a frowny face',
'explanation': 'The visual representation of your commits creates a sad expression. This affects team morale.',
'suggestion': 'Add an extra commit to turn that frown upside down!',
'severity': 'emotional'
},
{
'reason': 'This PR is too efficient',
'explanation': 'You\'ve solved the problem too well. We need to maintain job security for maintenance developers.',
'suggestion': 'Add a few unnecessary comments or a complex algorithm.',
'severity': 'economic'
},
{
'reason': 'The code lacks personality',
'explanation': 'Your code is technically perfect but emotionally void. Code should have soul!',
'suggestion': 'Add some ASCII art or a humorous comment to give it character.',
'severity': 'artistic'
},
{
'reason': 'This PR breaks the space-time continuum',
'explanation': 'Your changes have created a temporal paradox. We can\'t merge this until we resolve it.',
'suggestion': 'Check if you\'ve modified any time-related functions.',
'severity': 'temporal'
},
{
'reason': 'The PR lacks dramatic tension',
'explanation': 'Every good story needs conflict. Your PR is too straightforward.',
'suggestion': 'Add some edge cases or error handling to create narrative tension.',
'severity': 'literary'
},
{
'reason': 'This PR was created on a Tuesday',
'explanation': 'Everyone knows Tuesday is the worst day for code quality. It\'s scientifically proven.',
'suggestion': 'Wait until Wednesday when the code quality improves.',
'severity': 'calendar'
}
]
# PR validation requirements
self.validation_requirements = [
{
'name': 'Code Quality',
'description': 'Code follows team standards and best practices',
'weight': 25
},
{
'name': 'Test Coverage',
'description': 'Adequate test coverage for changes made',
'weight': 20
},
{
'name': 'Documentation',
'description': 'Changes are properly documented',
'weight': 15
},
{
'name': 'Performance Impact',
'description': 'Performance implications considered and addressed',
'weight': 15
},
{
'name': 'Security Review',
'description': 'Security implications assessed',
'weight': 15
},
{
'name': 'Break Changes',
'description': 'Breaking changes properly communicated',
'weight': 10
}
]
def should_trigger_challenge(self) -> bool:
"""Determine if a challenge should be triggered"""
return random.random() < self.challenge_frequency
def should_reject_pr(self) -> bool:
"""Determine if a PR should be randomly rejected"""
# Lower chance than challenges
return random.random() < (self.challenge_frequency * 0.3)
def get_random_challenge(self) -> Dict:
"""Get a random developer challenge"""
return random.choice(self.developer_challenges)
def get_random_rejection(self) -> Dict:
"""Get a random PR rejection reason"""
return random.choice(self.rejection_reasons)
def generate_challenge(self, pr_data: Dict) -> Dict:
"""Generate a challenge for a specific PR"""
if not self.should_trigger_challenge():
return None
challenge = self.get_random_challenge()
challenge_data = {
'pr_id': pr_data.get('id', 'unknown'),
'pr_title': pr_data.get('title', 'Unknown PR'),
'challenge': challenge,
'issued_at': datetime.now().isoformat(),
'status': 'pending',
'time_limit': challenge.get('time_limit', 300),
'difficulty': challenge.get('difficulty', 'medium')
}
return challenge_data
def generate_rejection(self, pr_data: Dict) -> Dict:
"""Generate a humorous rejection reason"""
if not self.should_reject_pr():
return None
rejection = self.get_random_rejection()
rejection_data = {
'pr_id': pr_data.get('id', 'unknown'),
'pr_title': pr_data.get('title', 'Unknown PR'),
'rejection': rejection,
'rejected_at': datetime.now().isoformat(),
'appeal_instructions': 'You may appeal this rejection by completing a developer challenge',
'suggested_challenge': self.get_random_challenge()
}
return rejection_data
def validate_pr_requirements(self, pr_data: Dict) -> Dict:
"""Validate PR against standard requirements"""
validation_results = {}
total_score = 0
max_score = 0
for requirement in self.validation_requirements:
# In a real implementation, this would do actual validation
# For demonstration, we'll use random scores
score = random.randint(requirement['weight'] // 2, requirement['weight'])
max_score += requirement['weight']
total_score += score
validation_results[requirement['name']] = {
'score': score,
'max_score': requirement['weight'],
'percentage': (score / requirement['weight']) * 100,
'notes': self._generate_validation_notes(requirement['name'], score)
}
overall_score = (total_score / max_score) * 100
status = 'approved' if overall_score >= 80 else 'needs_work' if overall_score >= 60 else 'rejected'
return {
'overall_score': overall_score,
'status': status,
'validations': validation_results,
'recommendations': self._generate_recommendations(overall_score)
}
def _generate_validation_notes(self, requirement_name: str, score: int) -> str:
"""Generate notes for a specific validation"""
notes = {
'Code Quality': [
'Code follows team standards well',
'Good variable naming and structure',
'Could use some refactoring in places',
'Consider adding more comments'
],
'Test Coverage': [
'Comprehensive test coverage',
'Good unit tests included',
'Missing integration tests',
'Test cases could be more thorough'
],
'Documentation': [
'Excellent documentation provided',
'Clear comments throughout code',
'API documentation needs updating',
'README changes documented'
],
'Performance Impact': [
'Performance considerations addressed',
'Efficient algorithms used',
'Consider caching for better performance',
'Memory usage could be optimized'
],
'Security Review': [
'Security implications well-considered',
'Input validation implemented',
'Authentication/authorization checked',
'Could use additional security measures'
],
'Break Changes': [
'Breaking changes properly documented',
'Migration path provided',
'Deprecation notices included',
'Backward compatibility maintained'
]
}
requirement_notes = notes.get(requirement_name, ['Standard validation completed'])
return random.choice(requirement_notes)
def _generate_recommendations(self, overall_score: float) -> List[str]:
"""Generate improvement recommendations"""
if overall_score >= 90:
return [
'Excellent work! This PR is ready for merge.',
'Consider sharing your approach with the team as a best practice example.',
'Your attention to detail is commendable.'
]
elif overall_score >= 80:
return [
'Good work! Minor improvements suggested before merge.',
'Consider addressing the areas with lower scores.',
'Overall, this is a solid contribution.'
]
elif overall_score >= 70:
return [
'Decent work, but needs some improvements.',
'Focus on the areas with the lowest scores.',
'Additional testing and documentation recommended.'
]
else:
return [
'Significant improvements needed before this can be merged.',
'Please address all major concerns raised.',
'Consider pairing with a senior developer for guidance.'
]
def complete_challenge(self, challenge_data: Dict, completion_time: int) -> Dict:
"""Mark a challenge as completed"""
challenge = challenge_data['challenge']
result = {
'challenge_id': challenge_data.get('id', 'unknown'),
'completed_at': datetime.now().isoformat(),
'completion_time': completion_time,
'success': True,
'reward': challenge.get('reward', 'Challenge Completed'),
'achievement': f"Completed {challenge.get('title', 'Challenge')}"
}
self.challenges_completed.append(result)
return result
def fail_challenge(self, challenge_data: Dict) -> Dict:
"""Mark a challenge as failed"""
challenge = challenge_data['challenge']
result = {
'challenge_id': challenge_data.get('id', 'unknown'),
'failed_at': datetime.now().isoformat(),
'success': False,
'penalty': 'Better luck next time!',
'encouragement': 'Every failure is a learning opportunity'
}
self.challenges_failed.append(result)
return result
def generate_challenge_response(self, challenge_data: Dict) -> str:
"""Generate a user-friendly challenge response"""
challenge = challenge_data['challenge']
pr_title = challenge_data['pr_title']
response_lines = [
"🎪 DEVELOPER CHALLENGE ACTIVATED! 🎪",
"=" * 50,
f"🎯 PR: {pr_title}",
f"🏆 Challenge: {challenge['title']}",
f"📝 Description: {challenge['description']}",
f"🎮 Difficulty: {challenge['difficulty'].title()}",
f"⏰ Time Limit: {challenge.get('time_limit', 'No time limit')} seconds",
f"🎁 Reward: {challenge['reward']}",
"",
"🎲 Accept this challenge to prove your developer skills!",
"Complete the challenge to earn special recognition!",
"",
"Type 'accept' to begin the challenge, or 'skip' to continue normally."
]
return "\n".join(response_lines)
def generate_rejection_response(self, rejection_data: Dict) -> str:
"""Generate a humorous rejection response"""
rejection = rejection_data['rejection']
pr_title = rejection_data['pr_title']
suggested_challenge = rejection_data['suggested_challenge']
response_lines = [
"🚨 PR REJECTION NOTICE 🚨",
"=" * 50,
f"📋 PR: {pr_title}",
f"❌ Reason: {rejection['reason']}",
"",
"📖 Explanation:",
f" {rejection['explanation']}",
"",
"💡 Suggestion:",
f" {rejection['suggestion']}",
"",
"🎮 Appeal Option:",
f" Complete the '{suggested_challenge['title']}' challenge to override this rejection!",
f" Challenge: {suggested_challenge['description']}",
f" Reward: {suggested_challenge['reward']}",
"",
"🎪 Remember: This is all in good fun! Your PR will be processed normally.",
"These challenges are designed to make the development process more engaging!"
]
return "\n".join(response_lines)
def generate_pr_summary(self, pr_data: Dict, validation_result: Dict) -> str:
"""Generate a comprehensive PR summary"""
status = validation_result['status']
score = validation_result['overall_score']
summary_lines = [
"🎪 PR REVIEW SUMMARY 🎪",
"=" * 50,
f"📋 PR: {pr_data.get('title', 'Unknown PR')}",
f"📊 Overall Score: {score:.1f}%",
f"🎯 Status: {status.upper()}",
"",
"📋 Detailed Breakdown:"
]
for name, result in validation_result['validations'].items():
percentage = result['percentage']
emoji = "🟢" if percentage >= 80 else "🟡" if percentage >= 60 else "🔴"
summary_lines.append(f" {emoji} {name}: {percentage:.0f}% ({result['score']}/{result['max_score']})")
summary_lines.append("")
if validation_result['recommendations']:
summary_lines.append("💡 Recommendations:")
for rec in validation_result['recommendations']:
summary_lines.append(f"{rec}")
# Add challenge/rejection info if applicable
if self.should_trigger_challenge():
challenge = self.generate_challenge(pr_data)
if challenge:
summary_lines.append("")
summary_lines.append("🎮 SPECIAL NOTICE:")
summary_lines.append(" This PR has been selected for a developer challenge!")
summary_lines.append(" Check the challenge system for details.")
if self.should_reject_pr():
rejection = self.generate_rejection(pr_data)
if rejection:
summary_lines.append("")
summary_lines.append("🚨 ATTENTION:")
summary_lines.append(" This PR has encountered a... unique situation.")
summary_lines.append(" Please check the rejection notice for details.")
summary_lines.append("")
summary_lines.append("🚀 Thank you for your contribution!")
return "\n".join(summary_lines)
def get_challenge_statistics(self) -> Dict:
"""Get statistics about challenges"""
return {
'total_challenges': len(self.challenges_completed) + len(self.challenges_failed),
'completed_challenges': len(self.challenges_completed),
'failed_challenges': len(self.challenges_failed),
'success_rate': (len(self.challenges_completed) / max(1, len(self.challenges_completed) + len(self.challenges_failed))) * 100,
'most_common_category': self._get_most_common_category(),
'average_completion_time': self._get_average_completion_time()
}
def _get_most_common_category(self) -> str:
"""Get the most common challenge category completed"""
if not self.challenges_completed:
return 'none'
categories = {}
for challenge in self.challenges_completed:
# Extract category from achievement message
for challenge_def in self.developer_challenges:
if challenge_def['reward'] in challenge.get('achievement', ''):
category = challenge_def.get('category', 'general')
categories[category] = categories.get(category, 0) + 1
break
return max(categories, key=categories.get) if categories else 'general'
def _get_average_completion_time(self) -> float:
"""Get average challenge completion time"""
if not self.challenges_completed:
return 0.0
total_time = sum(c.get('completion_time', 0) for c in self.challenges_completed)
return total_time / len(self.challenges_completed)
def main():
import argparse
parser = argparse.ArgumentParser(description='PR Challenge System - Gamify your pull requests!')
parser.add_argument('--simulate', '-s', action='store_true',
help='Simulate PR review process')
parser.add_argument('--challenge-frequency', '-f', type=float, default=0.05,
help='Challenge frequency (0.0-1.0, default: 0.05)')
parser.add_argument('--pr-title', '-p', help='Simulate review for specific PR title')
parser.add_argument('--stats', action='store_true',
help='Show challenge statistics')
args = parser.parse_args()
challenge_system = PRChallengeSystem(args.challenge_frequency)
if args.stats:
stats = challenge_system.get_challenge_statistics()
print("🎪 Challenge Statistics")
print("=" * 30)
print(f"Total Challenges: {stats['total_challenges']}")
print(f"Completed: {stats['completed_challenges']}")
print(f"Failed: {stats['failed_challenges']}")
print(f"Success Rate: {stats['success_rate']:.1f}%")
print(f"Most Common Category: {stats['most_common_category']}")
print(f"Avg Completion Time: {stats['average_completion_time']:.1f}s")
return
if args.simulate:
# Mock PR data
pr_title = args.pr_title or "feat: add user authentication system"
pr_data = {
'id': '123',
'title': pr_title,
'author': 'developer',
'files_changed': 15,
'additions': 500,
'deletions': 100
}
print("🎪 PR Review Simulation")
print("=" * 40)
# Validate PR requirements
validation = challenge_system.validate_pr_requirements(pr_data)
print("📋 PR Validation:")
print(f" Overall Score: {validation['overall_score']:.1f}%")
print(f" Status: {validation['status']}")
print()
# Check for challenges
challenge = challenge_system.generate_challenge(pr_data)
if challenge:
print("🎮 Challenge Generated!")
print(challenge_system.generate_challenge_response(challenge))
print()
# Check for rejections
rejection = challenge_system.generate_rejection(pr_data)
if rejection:
print("🚨 Rejection Generated!")
print(challenge_system.generate_rejection_response(rejection))
print()
# Show full summary
print(challenge_system.generate_pr_summary(pr_data, validation))
else:
print("🎪 PR Challenge System")
print("=" * 40)
print("Use --simulate to test the system")
print("Use --stats to view statistics")
print("This system adds gamification to your PR process!")
if __name__ == "__main__":
main()

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scripts/roast-bot.py Executable file
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#!/usr/bin/env python3
"""
Code Roast Bot - AI-powered sarcastic code review with professional implementation
This script provides humorous code feedback while demonstrating real code analysis concepts
"""
import os
import sys
import re
import json
import random
import argparse
from datetime import datetime
from pathlib import Path
from typing import Dict, List, Optional
class CodeRoastBot:
"""Professional code analysis with humorous feedback delivery"""
def __init__(self, roast_intensity: int = 7):
self.roast_intensity = min(10, max(1, roast_intensity))
self.roast_history = []
# Professional code analysis patterns
self.code_patterns = {
'long_function': {'regex': r'def\s+\w+\([^)]*\):.*\n(?:\s+.*\n){20,}', 'severity': 'medium'},
'deep_nesting': {'regex': r'(if|for|while|try).*\n(\s+){8}', 'severity': 'high'},
'long_line': {'regex': r'.{100,}', 'severity': 'low'},
'magic_numbers': {'regex': r'\b\d{2,}\b(?!\s*#.*magic)', 'severity': 'medium'},
'todo_comments': {'regex': r'#\s*TODO|FIXME|HACK', 'severity': 'low'},
'complex_regex': {'regex': r're\.compile\([^)]{100,}\)', 'severity': 'high'},
'multiple_returns': {'regex': r'return.*\n.*return', 'severity': 'medium'},
'bare_except': {'regex': r'except\s*:', 'severity': 'high'},
'global_variables': {'regex': r'^\s*[A-Z_]+\s*=', 'severity': 'medium'},
'long_imports': {'regex': r'from\s+\w+(\.\w+)*\s+import\s+[^,]+,', 'severity': 'low'}
}
# Professional feedback templates
self.professional_feedback = {
'long_function': [
"Consider breaking this function into smaller, more focused units",
"This function might benefit from the Single Responsibility Principle",
"Function complexity could be reduced by extracting helper methods"
],
'deep_nesting': [
"Deep nesting can make code difficult to read and maintain",
"Consider extracting nested logic into separate functions",
"Guard clauses or early returns might simplify this structure"
],
'long_line': [
"Line length exceeds typical style guide recommendations",
"Consider breaking long lines for better readability",
"PEP 8 suggests limiting lines to 79 characters"
],
'magic_numbers': [
"Magic numbers should be replaced with named constants",
"Consider defining these values as named constants for clarity",
"Magic numbers reduce code maintainability"
],
'todo_comments': [
"TODO comments should be addressed before production deployment",
"Consider creating proper tickets for TODO items",
"FIXME comments indicate technical debt that should be resolved"
],
'complex_regex': [
"Complex regular expressions should be documented",
"Consider breaking complex regex into smaller, named components",
"Regex complexity makes maintenance difficult"
],
'multiple_returns': [
"Multiple return points can make function flow harder to follow",
"Consider restructuring to have a single exit point",
"Multiple returns are acceptable but should be used judiciously"
],
'bare_except': [
"Bare except clauses can hide important errors",
"Specify the exceptions you want to catch",
"Bare except makes debugging more difficult"
],
'global_variables': [
"Global variables can make code harder to test and maintain",
"Consider dependency injection instead of global state",
"Global variables reduce code modularity"
],
'long_imports': [
"Long import lines can be hard to read",
"Consider using multiple import statements",
"Import organization improves code readability"
]
}
# Humorous roast templates (professional but entertaining)
self.roast_templates = {
'low': [
"This code is {issue}, but we've all been there. No judgment!",
"Found {issue} - minor issue, but worth noting for future reference.",
"Code has {issue}. Consider fixing it when you have a spare moment.",
"Detecting {issue} - not the end of the world, but room for improvement."
],
'medium': [
"Well hello there, {issue}! Your code decided to be 'creative' today.",
"This code has {issue}. It's like the code equivalent of wearing socks with sandals.",
"Found {issue} in your code. It's not broken, but it's definitely... interesting.",
"Your code exhibits {issue}. The compiler is giving you the side-eye right now."
],
'high': [
"WOW! This code has {issue}. That's... one way to solve the problem!",
"I'm not angry, I'm just disappointed that I found {issue} in your code.",
"This code has {issue}. It's so bold it makes me respect it, then fear it.",
"Congratulations! Your code achieved {issue}. That's not something you see every day."
]
}
# Code quality assessments
self.quality_assessments = [
"This code has more issues than a comic book store.",
"Your code is like a box of chocolates - full of surprises.",
"This code writes itself - unfortunately, it didn't study programming first.",
"Your code is so unique, it probably has its own programming paradigm.",
"This code is breaking new ground - unfortunately, it's the ground of common sense.",
"Your code is like modern art - some people get it, most people don't.",
"This code has more personality than a sitcom character.",
"Your code is the reason why 'code review' was invented.",
"This code is so creative, it makes abstract art look straightforward.",
"Your code is like a puzzle - the main puzzle is figuring out what it does."
]
def analyze_file(self, file_path: str) -> Dict:
"""Analyze a single file for code issues"""
issues = []
total_lines = 0
try:
with open(file_path, 'r', encoding='utf-8') as f:
content = f.read()
lines = content.split('\n')
total_lines = len(lines)
for pattern_name, pattern_info in self.code_patterns.items():
matches = re.finditer(pattern_info['regex'], content, re.MULTILINE | re.DOTALL)
for match in matches:
# Find line number
line_number = content[:match.start()].count('\n') + 1
line_content = lines[line_number - 1] if line_number <= len(lines) else ""
issues.append({
'type': pattern_name,
'line': line_number,
'content': line_content.strip(),
'severity': pattern_info['severity'],
'match_text': match.group()
})
except Exception as e:
issues.append({
'type': 'file_error',
'line': 0,
'content': f"Could not read file: {str(e)}",
'severity': 'high',
'match_text': ''
})
return {
'file_path': file_path,
'total_lines': total_lines,
'issues': issues,
'issue_count': len(issues)
}
def generate_roast(self, analysis_result: Dict) -> str:
"""Generate humorous but professional feedback"""
issues = analysis_result['issues']
file_path = analysis_result['file_path']
if not issues:
return f"🎉 {file_path} is surprisingly clean! Either you're a coding genius or this file is empty. Either way, well done!"
# Generate professional summary
summary_lines = []
summary_lines.append(f"📋 Code Analysis for {file_path}")
summary_lines.append(f" Total lines: {analysis_result['total_lines']}")
summary_lines.append(f" Issues found: {len(issues)}")
summary_lines.append("")
# Group issues by severity
severity_counts = {'low': 0, 'medium': 0, 'high': 0}
for issue in issues:
if issue['severity'] in severity_counts:
severity_counts[issue['severity']] += 1
summary_lines.append("📊 Issue Breakdown:")
for severity, count in severity_counts.items():
if count > 0:
summary_lines.append(f" {severity.title()}: {count}")
summary_lines.append("")
# Add specific feedback for each issue
summary_lines.append("🔍 Detailed Feedback:")
for issue in issues[:5]: # Limit to top 5 issues for readability
if issue['type'] in self.professional_feedback:
professional = random.choice(self.professional_feedback[issue['type']])
roast = self._generate_roast_for_issue(issue)
summary_lines.append(f"Line {issue['line']}: {issue['type']}")
summary_lines.append(f" 💡 {professional}")
if self.roast_intensity >= 6:
summary_lines.append(f" 😄 {roast}")
summary_lines.append("")
# Add overall assessment
if len(issues) > 10:
assessment = random.choice(self.quality_assessments)
summary_lines.append(f"🎭 Overall Assessment: {assessment}")
# Add encouragement
summary_lines.append("")
summary_lines.append("💪 Remember: Every great developer was once a beginner. Keep coding, keep learning!")
summary_lines.append("🚀 Professional tip: Use linters and formatters to catch these issues automatically.")
return "\n".join(summary_lines)
def _generate_roast_for_issue(self, issue: Dict) -> str:
"""Generate a roast for a specific issue"""
severity = issue['severity']
issue_type = issue['type']
if severity not in self.roast_templates:
severity = 'medium'
template = random.choice(self.roast_templates[severity])
# Convert issue type to readable format
readable_issue = issue_type.replace('_', ' ').title()
return template.format(issue=readable_issue)
def analyze_directory(self, directory: str) -> Dict:
"""Analyze all files in a directory"""
results = {}
total_issues = 0
# Supported file extensions
extensions = ['.py', '.js', '.ts', '.java', '.cpp', '.c', '.go', '.rs', '.rb']
for root, dirs, files in os.walk(directory):
# Skip common directories to ignore
dirs[:] = [d for d in dirs if d not in ['.git', '__pycache__', 'node_modules', '.venv']]
for file in files:
if any(file.endswith(ext) for ext in extensions):
file_path = os.path.join(root, file)
result = self.analyze_file(file_path)
results[file_path] = result
total_issues += result['issue_count']
return {
'directory': directory,
'files_analyzed': len(results),
'total_issues': total_issues,
'results': results
}
def generate_directory_report(self, analysis: Dict) -> str:
"""Generate a comprehensive report for directory analysis"""
report_lines = []
report_lines.append("🎪 CI/CD Chaos Code Roast Report")
report_lines.append("=" * 50)
report_lines.append(f"📁 Directory: {analysis['directory']}")
report_lines.append(f"📄 Files analyzed: {analysis['files_analyzed']}")
report_lines.append(f"🐛 Total issues found: {analysis['total_issues']}")
report_lines.append("")
# Top problematic files
sorted_files = sorted(analysis['results'].items(),
key=lambda x: x[1]['issue_count'], reverse=True)
report_lines.append("🔥 Most Problematic Files:")
for file_path, result in sorted_files[:5]:
if result['issue_count'] > 0:
report_lines.append(f" {file_path}: {result['issue_count']} issues")
report_lines.append("")
# Individual file summaries
report_lines.append("📋 Individual File Analysis:")
for file_path, result in sorted_files:
if result['issue_count'] > 0:
report_lines.append("-" * 40)
report_lines.append(f"File: {file_path}")
report_lines.append(f"Issues: {result['issue_count']}")
# Show top issues
issues_by_type = {}
for issue in result['issues']:
issue_type = issue['type']
if issue_type not in issues_by_type:
issues_by_type[issue_type] = []
issues_by_type[issue_type].append(issue['line'])
for issue_type, lines in issues_by_type.items():
report_lines.append(f" {issue_type}: lines {', '.join(map(str, lines[:3]))}")
report_lines.append("")
# Add humorous summary
if analysis['total_issues'] > 50:
report_lines.append("🎭 Professional Assessment:")
report_lines.append("This codebase has more personality flaws than a reality TV star.")
report_lines.append("But don't worry - even the best developers write imperfect code.")
report_lines.append("The important thing is that you're seeking to improve!")
elif analysis['total_issues'] > 20:
report_lines.append("🎭 Professional Assessment:")
report_lines.append("Your code is like a diamond in the rough - valuable but needs polishing.")
report_lines.append("Keep up the good work and continue refining your craft!")
else:
report_lines.append("🎭 Professional Assessment:")
report_lines.append("Your code is surprisingly clean! You must be using good practices.")
report_lines.append("Maintain this quality and you'll be a coding superstar!")
report_lines.append("")
report_lines.append("🚀 Remember: Code reviews and analysis are tools for growth, not criticism.")
report_lines.append("Every issue found is an opportunity to become a better developer.")
return "\n".join(report_lines)
def roast_commit_message(self, commit_message: str) -> str:
"""Roast a commit message"""
roasts = []
# Check commit message length
if len(commit_message) < 10:
roasts.append("This commit message is shorter than a developer's attention span during a 9 AM meeting.")
elif len(commit_message) > 72:
roasts.append("This commit message is longer than the actual changes. Someone's being thorough!")
# Check for common commit message patterns
if "fix" in commit_message.lower() and "bug" in commit_message.lower():
roasts.append("Fixing a bug with a commit message that mentions 'fix' and 'bug' - how meta!")
if "update" in commit_message.lower() and "readme" in commit_message.lower():
roasts.append("Updating the README because the code was too confusing to understand on its own.")
if "wip" in commit_message.lower():
roasts.append("Work In Progress - or as I call it, 'I broke something and I'll fix it later'.")
if "lol" in commit_message.lower() or "haha" in commit_message.lower():
roasts.append("This commit message contains laughter. Let's hope the code is funnier than the joke!")
# Check for imperative mood
if not commit_message.split()[0].endswith('ed') and not commit_message.split()[0].endswith('s'):
roasts.append("Your commit message isn't in imperative mood. The git police are coming!")
if not roasts:
roasts.append("This is actually a pretty good commit message. I'm genuinely impressed!")
roasts.append("Professional, clear, and concise. Are you sure you're a real developer?")
return random.choice(roasts)
def main():
parser = argparse.ArgumentParser(description='Code Roast Bot - Professional code analysis with humor')
parser.add_argument('path', nargs='?', help='File or directory to analyze')
parser.add_argument('--intensity', '-i', type=int, default=7,
help='Roast intensity (1-10, default: 7)')
parser.add_argument('--commit', '-c', help='Roast a commit message')
parser.add_argument('--output', '-o', help='Output file for report')
args = parser.parse_args()
bot = CodeRoastBot(args.intensity)
if args.commit:
# Roast commit message
roast = bot.roast_commit_message(args.commit)
print(f"🎪 Commit Message Roast:")
print(f"Message: {args.commit}")
print(f"Roast: {roast}")
return
if not args.path:
print("Please provide a file or directory path, or use --commit for commit message roasting")
parser.print_help()
return
path = args.path
if os.path.isfile(path):
# Analyze single file
result = bot.analyze_file(path)
roast = bot.generate_roast(result)
print(roast)
elif os.path.isdir(path):
# Analyze directory
analysis = bot.analyze_directory(path)
report = bot.generate_directory_report(analysis)
print(report)
else:
print(f"Path not found: {path}")
return
# Save to file if requested
if args.output:
with open(args.output, 'w', encoding='utf-8') as f:
if os.path.isfile(path):
f.write(bot.generate_roast(bot.analyze_file(path)))
else:
f.write(bot.generate_directory_report(bot.analyze_directory(path)))
print(f"\n📄 Report saved to: {args.output}")
if __name__ == "__main__":
main()