Bug Reports¶

Bug reporting guidelines and procedures for Anya Core products and services.

Overview¶

This document provides guidelines for reporting bugs, tracking issues, and contributing to the resolution of problems in Anya Core systems.

How to Report a Bug¶

Before Reporting¶

Check Existing Issues¶

1. Search the GitHub Issues for similar problems
2. Check our Known Issues documentation
3. Review the FAQ for common solutions

Gather Information¶

# System Information Script
#!/bin/bash

echo "=== Anya Core Bug Report Information ==="
echo "Generated: $(date)"
echo

# System details
echo "System Information:"
echo "  OS: $(uname -a)"
echo "  Architecture: $(uname -m)"
echo "  Kernel: $(uname -r)"
echo

# Software versions
echo "Software Versions:"
if command -v anya-core &> /dev/null; then
    echo "  Anya Core: $(anya-core --version)"
fi

if command -v node &> /dev/null; then
    echo "  Node.js: $(node --version)"
fi

if command -v npm &> /dev/null; then
    echo "  NPM: $(npm --version)"
fi

if command -v cargo &> /dev/null; then
    echo "  Rust: $(rustc --version)"
fi

if command -v python3 &> /dev/null; then
    echo "  Python: $(python3 --version)"
fi
echo

# Memory and disk usage
echo "Resource Usage:"
echo "  Memory: $(free -h | grep Mem | awk '{print $3 "/" $2}')"
echo "  Disk: $(df -h / | awk 'NR==2{print $3 "/" $2 " (" $5 " used)"}')"
echo

# Network connectivity
echo "Network Status:"
if ping -c 1 8.8.8.8 &> /dev/null; then
    echo "  Internet: Connected"
else
    echo "  Internet: Disconnected"
fi

if curl -s https://api.anya-core.org/health &> /dev/null; then
    echo "  Anya API: Accessible"
else
    echo "  Anya API: Inaccessible"
fi
echo

echo "=== End of System Information ==="

Bug Report Template¶

Severity Classification¶

• Critical: System crash, data loss, security vulnerability
• High: Major feature broken, significant impact on functionality
• Medium: Minor feature issue, workaround available
• Low: Cosmetic issue, documentation problem

Report Format¶

# Bug Report

## Summary
Brief description of the issue

## Environment
- **OS**: [Operating System and version]
- **Anya Core Version**: [Version number]
- **Browser**: [If web-related, browser and version]
- **Hardware**: [Relevant hardware information]

## Steps to Reproduce
1. Step one
2. Step two
3. Step three
4. ...

## Expected Behavior
What you expected to happen

## Actual Behavior
What actually happened

## Screenshots/Logs
[Attach relevant screenshots, error logs, or console output]

## Additional Context
Any additional information that might be helpful

## Severity
[Critical/High/Medium/Low]

## Workaround
[If you found a workaround, describe it here]

Code Examples for Common Bug Reports¶

Performance Issues¶

import time
import psutil
import logging

class PerformanceBugReporter:
    def __init__(self):
        self.logger = logging.getLogger(__name__)

    def report_performance_issue(self, operation_name: str, expected_time: float):
        """Report performance issues with detailed metrics"""

        # Measure performance
        start_time = time.time()
        start_memory = psutil.Process().memory_info().rss

        try:
            # Execute the operation being tested
            result = self.execute_operation(operation_name)

            end_time = time.time()
            end_memory = psutil.Process().memory_info().rss

            execution_time = end_time - start_time
            memory_delta = end_memory - start_memory

            if execution_time > expected_time:
                self.logger.warning(f"Performance issue detected in {operation_name}")
                self.logger.warning(f"Expected: {expected_time}s, Actual: {execution_time}s")
                self.logger.warning(f"Memory usage: {memory_delta / 1024 / 1024:.2f} MB")

                # Create detailed bug report
                bug_report = {
                    'type': 'performance',
                    'operation': operation_name,
                    'expected_time': expected_time,
                    'actual_time': execution_time,
                    'memory_usage': memory_delta,
                    'system_info': self.get_system_info(),
                    'timestamp': time.time()
                }

                return bug_report

        except Exception as e:
            self.logger.error(f"Exception during {operation_name}: {str(e)}")
            raise

    def get_system_info(self):
        """Collect system information for bug reports"""
        return {
            'cpu_percent': psutil.cpu_percent(),
            'memory_percent': psutil.virtual_memory().percent,
            'disk_usage': psutil.disk_usage('/').percent,
            'load_average': psutil.getloadavg(),
            'process_count': len(psutil.pids())
        }

Transaction Issues¶

interface TransactionBugReport {
  transaction_id: string;
  error_type: 'validation' | 'network' | 'fee' | 'confirmation' | 'other';
  error_message: string;
  transaction_details: TransactionDetails;
  network_conditions: NetworkConditions;
  retry_attempts: number;
  timestamp: Date;
}

class TransactionBugReporter {
  async reportTransactionIssue(
    transactionId: string, 
    error: Error
  ): Promise<TransactionBugReport> {

    // Gather transaction details
    const transactionDetails = await this.getTransactionDetails(transactionId);

    // Check network conditions
    const networkConditions = await this.getNetworkConditions();

    // Classify error type
    const errorType = this.classifyTransactionError(error);

    const bugReport: TransactionBugReport = {
      transaction_id: transactionId,
      error_type: errorType,
      error_message: error.message,
      transaction_details: transactionDetails,
      network_conditions: networkConditions,
      retry_attempts: transactionDetails.retry_count || 0,
      timestamp: new Date()
    };

    // Log the bug report
    await this.logBugReport(bugReport);

    // Submit to bug tracking system
    await this.submitBugReport(bugReport);

    return bugReport;
  }

  private classifyTransactionError(error: Error): string {
    const errorMessage = error.message.toLowerCase();

    if (errorMessage.includes('insufficient funds')) return 'validation';
    if (errorMessage.includes('fee too low')) return 'fee';
    if (errorMessage.includes('network')) return 'network';
    if (errorMessage.includes('confirmation')) return 'confirmation';

    return 'other';
  }

  private async getNetworkConditions(): Promise<NetworkConditions> {
    return {
      mempool_size: await this.getMempoolSize(),
      average_fee_rate: await this.getAverageFeeRate(),
      block_height: await this.getCurrentBlockHeight(),
      network_hash_rate: await this.getNetworkHashRate(),
      confirmation_times: await this.getRecentConfirmationTimes()
    };
  }
}

Bug Tracking Workflow¶

Issue Lifecycle¶

States¶

enum BugStatus {
  REPORTED = 'reported',
  CONFIRMED = 'confirmed',
  ASSIGNED = 'assigned',
  IN_PROGRESS = 'in_progress',
  TESTING = 'testing',
  RESOLVED = 'resolved',
  VERIFIED = 'verified',
  CLOSED = 'closed',
  REOPENED = 'reopened'
}

interface BugTrackingWorkflow {
  bug_id: string;
  status: BugStatus;
  assignee: string;
  reporter: string;
  created_at: Date;
  updated_at: Date;
  resolved_at?: Date;
  resolution: string;
  verification_steps: string[];
  related_issues: string[];
}

class BugTracker {
  async progressBugStatus(
    bugId: string, 
    newStatus: BugStatus, 
    notes: string
  ): Promise<void> {

    const bug = await this.getBug(bugId);
    const validTransition = this.validateStatusTransition(bug.status, newStatus);

    if (!validTransition) {
      throw new Error(`Invalid status transition from ${bug.status} to ${newStatus}`);
    }

    // Update bug status
    await this.updateBugStatus(bugId, newStatus, notes);

    // Trigger appropriate actions
    await this.triggerStatusActions(bugId, newStatus);

    // Send notifications
    await this.sendStatusNotifications(bug, newStatus);
  }

  private validateStatusTransition(
    currentStatus: BugStatus, 
    newStatus: BugStatus
  ): boolean {
    const validTransitions: Record<BugStatus, BugStatus[]> = {
      [BugStatus.REPORTED]: [BugStatus.CONFIRMED, BugStatus.CLOSED],
      [BugStatus.CONFIRMED]: [BugStatus.ASSIGNED, BugStatus.CLOSED],
      [BugStatus.ASSIGNED]: [BugStatus.IN_PROGRESS, BugStatus.CLOSED],
      [BugStatus.IN_PROGRESS]: [BugStatus.TESTING, BugStatus.RESOLVED, BugStatus.CLOSED],
      [BugStatus.TESTING]: [BugStatus.RESOLVED, BugStatus.IN_PROGRESS],
      [BugStatus.RESOLVED]: [BugStatus.VERIFIED, BugStatus.REOPENED],
      [BugStatus.VERIFIED]: [BugStatus.CLOSED, BugStatus.REOPENED],
      [BugStatus.CLOSED]: [BugStatus.REOPENED],
      [BugStatus.REOPENED]: [BugStatus.ASSIGNED, BugStatus.IN_PROGRESS]
    };

    return validTransitions[currentStatus]?.includes(newStatus) || false;
  }
}

Triage Process¶

Priority Assignment¶

class BugTriageSystem:
    def __init__(self):
        self.severity_weights = {
            'critical': 10,
            'high': 7,
            'medium': 4,
            'low': 1
        }

        self.impact_multipliers = {
            'security': 3.0,
            'data_loss': 2.5,
            'performance': 1.5,
            'functionality': 1.2,
            'cosmetic': 0.5
        }

    def calculate_priority_score(self, bug_report: dict) -> float:
        """Calculate priority score for bug triage"""

        severity = bug_report.get('severity', 'low')
        impact_type = bug_report.get('impact_type', 'functionality')
        affected_users = bug_report.get('affected_users', 1)

        base_score = self.severity_weights.get(severity, 1)
        impact_multiplier = self.impact_multipliers.get(impact_type, 1.0)
        user_factor = min(math.log10(affected_users + 1), 3.0)  # Cap at 1000 users

        priority_score = base_score * impact_multiplier * (1 + user_factor)

        return priority_score

    def assign_bug_priority(self, bug_report: dict) -> str:
        """Assign priority level based on calculated score"""

        score = self.calculate_priority_score(bug_report)

        if score >= 20:
            return 'P0 - Critical'
        elif score >= 10:
            return 'P1 - High'
        elif score >= 5:
            return 'P2 - Medium'
        else:
            return 'P3 - Low'

    async def triage_bug(self, bug_id: str) -> TriageResult:
        """Perform complete bug triage"""

        bug_report = await self.get_bug_report(bug_id)

        # Calculate priority
        priority = self.assign_bug_priority(bug_report)

        # Assign to appropriate team
        team = self.assign_team(bug_report)

        # Estimate effort
        effort_estimate = await self.estimate_effort(bug_report)

        # Check for duplicates
        duplicates = await self.find_duplicate_bugs(bug_report)

        # Generate triage recommendations
        recommendations = self.generate_triage_recommendations(
            bug_report, priority, effort_estimate, duplicates
        )

        return TriageResult(
            bug_id=bug_id,
            priority=priority,
            assigned_team=team,
            effort_estimate=effort_estimate,
            duplicate_candidates=duplicates,
            recommendations=recommendations,
            triage_timestamp=datetime.now()
        )

Quality Assurance¶

Bug Verification¶

Verification Checklist¶

## Bug Verification Checklist

### Pre-Verification
- [ ] Bug report contains all required information
- [ ] Steps to reproduce are clear and complete
- [ ] Environment information is provided
- [ ] Severity classification is appropriate

### Reproduction
- [ ] Able to reproduce the issue following provided steps
- [ ] Issue occurs consistently
- [ ] Issue occurs in clean environment
- [ ] Screenshots/logs match the reported behavior

### Impact Assessment
- [ ] Confirmed severity level
- [ ] Identified affected user groups
- [ ] Assessed business impact
- [ ] Checked for data integrity issues

### Technical Analysis
- [ ] Root cause identified
- [ ] Dependencies analyzed
- [ ] Similar issues reviewed
- [ ] Regression potential assessed

### Documentation
- [ ] Verification notes documented
- [ ] Additional reproduction steps added
- [ ] Impact analysis recorded
- [ ] Resolution approach outlined

Verification Tools¶

use std::process::Command;
use serde_json::Value;

pub struct BugVerificationTools {
    pub environment: String,
    pub test_data_path: String,
}

impl BugVerificationTools {
    pub fn new(environment: &str) -> Self {
        Self {
            environment: environment.to_string(),
            test_data_path: format!("./test-data/{}", environment),
        }
    }

    pub async fn reproduce_bug(&self, bug_id: &str, steps: Vec<String>) -> Result<ReproductionResult, Error> {
        let mut reproduction_log = Vec::new();
        let mut success = true;

        for (index, step) in steps.iter().enumerate() {
            println!("Executing step {}: {}", index + 1, step);

            let result = self.execute_step(step).await;
            match result {
                Ok(output) => {
                    reproduction_log.push(format!("Step {} successful: {}", index + 1, output));
                }
                Err(error) => {
                    reproduction_log.push(format!("Step {} failed: {}", index + 1, error));
                    success = false;
                    break;
                }
            }
        }

        Ok(ReproductionResult {
            bug_id: bug_id.to_string(),
            reproduction_successful: success,
            execution_log: reproduction_log,
            environment: self.environment.clone(),
            timestamp: chrono::Utc::now(),
        })
    }

    pub async fn collect_diagnostic_data(&self, bug_id: &str) -> Result<DiagnosticData, Error> {
        // Collect system logs
        let system_logs = self.collect_system_logs().await?;

        // Collect application logs
        let app_logs = self.collect_application_logs().await?;

        // Collect performance metrics
        let performance_metrics = self.collect_performance_metrics().await?;

        // Collect network traces
        let network_traces = self.collect_network_traces().await?;

        Ok(DiagnosticData {
            bug_id: bug_id.to_string(),
            system_logs,
            application_logs,
            performance_metrics,
            network_traces,
            collection_timestamp: chrono::Utc::now(),
        })
    }

    async fn execute_step(&self, step: &str) -> Result<String, Error> {
        // Parse and execute the step command
        let output = Command::new("sh")
            .arg("-c")
            .arg(step)
            .output()
            .map_err(|e| Error::ExecutionError(e.to_string()))?;

        if output.status.success() {
            Ok(String::from_utf8_lossy(&output.stdout).to_string())
        } else {
            Err(Error::StepFailed(String::from_utf8_lossy(&output.stderr).to_string()))
        }
    }
}

Bug Prevention¶

Static Analysis Integration¶

# GitHub Actions Workflow for Bug Prevention
name: Bug Prevention Pipeline

on:
  push:
    branches: [ main, develop ]
  pull_request:
    branches: [ main ]

jobs:
  static-analysis:
    runs-on: ubuntu-latest
    steps:
    - uses: actions/checkout@v3

    - name: Set up Rust
      uses: actions-rs/toolchain@v1
      with:
        toolchain: stable
        components: clippy, rustfmt

    - name: Run Clippy
      run: cargo clippy -- -D warnings

    - name: Run Security Audit
      run: cargo audit

    - name: Check Formatting
      run: cargo fmt -- --check

  unit-tests:
    runs-on: ubuntu-latest
    steps:
    - uses: actions/checkout@v3

    - name: Run Unit Tests
      run: cargo test --all

    - name: Generate Coverage Report
      run: cargo tarpaulin --out xml

    - name: Upload Coverage
      uses: codecov/codecov-action@v1

  integration-tests:
    runs-on: ubuntu-latest
    steps:
    - uses: actions/checkout@v3

    - name: Start Test Environment
      run: docker-compose -f docker-compose.test.yml up -d

    - name: Run Integration Tests
      run: cargo test --test integration_tests

    - name: Clean Up Test Environment
      run: docker-compose -f docker-compose.test.yml down

Code Review Guidelines¶

## Code Review Checklist for Bug Prevention

### General Code Quality
- [ ] Code follows established style guidelines
- [ ] Functions are appropriately sized and focused
- [ ] Variable and function names are descriptive
- [ ] Complex logic is commented and documented

### Error Handling
- [ ] All error conditions are properly handled
- [ ] Error messages are informative and actionable
- [ ] Resources are properly cleaned up in error cases
- [ ] Failures are logged with appropriate context

### Security Considerations
- [ ] Input validation is implemented
- [ ] SQL injection prevention measures are in place
- [ ] Authentication and authorization are properly enforced
- [ ] Sensitive data is properly protected

### Performance
- [ ] No obvious performance bottlenecks
- [ ] Database queries are optimized
- [ ] Caching is used appropriately
- [ ] Resource usage is reasonable

### Testing
- [ ] Unit tests cover critical functionality
- [ ] Edge cases are tested
- [ ] Error conditions are tested
- [ ] Tests are maintainable and readable

Bug Metrics and Reporting¶

Key Performance Indicators¶

class BugMetricsCollector:
    def __init__(self):
        self.metrics_db = MetricsDatabase()

    async def calculate_bug_metrics(self, period: str) -> BugMetrics:
        """Calculate comprehensive bug metrics for reporting"""

        # Bug discovery metrics
        bugs_reported = await self.count_bugs_by_period(period, 'reported')
        bugs_resolved = await self.count_bugs_by_period(period, 'resolved')

        # Resolution time metrics
        avg_resolution_time = await self.calculate_avg_resolution_time(period)
        resolution_times_by_severity = await self.resolution_times_by_severity(period)

        # Quality metrics
        bug_reopen_rate = await self.calculate_reopen_rate(period)
        escaped_bugs = await self.count_escaped_bugs(period)

        # Trend analysis
        bug_trend = await self.analyze_bug_trends(period)

        return BugMetrics(
            period=period,
            bugs_reported=bugs_reported,
            bugs_resolved=bugs_resolved,
            resolution_rate=bugs_resolved / max(bugs_reported, 1),
            avg_resolution_time=avg_resolution_time,
            resolution_times_by_severity=resolution_times_by_severity,
            reopen_rate=bug_reopen_rate,
            escaped_bugs=escaped_bugs,
            trend_analysis=bug_trend
        )

    async def generate_bug_report(self, period: str) -> BugReport:
        """Generate comprehensive bug report"""

        metrics = await self.calculate_bug_metrics(period)

        # Top issues by impact
        top_issues = await self.identify_top_issues(period)

        # Team performance
        team_metrics = await self.calculate_team_metrics(period)

        # Recommendations
        recommendations = await self.generate_recommendations(metrics, top_issues)

        return BugReport(
            period=period,
            generation_date=datetime.now(),
            summary_metrics=metrics,
            top_issues=top_issues,
            team_performance=team_metrics,
            recommendations=recommendations,
            action_items=await self.create_action_items(recommendations)
        )

See Also¶

• Technical Support
• Contributing Guidelines
• Security Guidelines
• Development Workflow

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This document is part of the Anya Core Quality Assurance Framework and is updated regularly.