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Maintenance Automation Scripts and Tools

Status: Active
Version: 1.0.0
Last Updated: 2026-01-05
Epic: Epic 7 - Codebase Maintenance and Review
Story: Story 4 - Maintenance Automation and Tooling
Task: E7:S04:T02 - Develop maintenance automation scripts and tools
Related: Maintenance Automation Requirements, Maintenance Workflow Processes

Executive Summary​

This document defines the maintenance automation scripts and tools for the AI Dev Kit project. It provides script architecture, implementation guidelines, and tool specifications for automating maintenance tasks.

Key Features:

  • Modular Scripts: Reusable, modular automation scripts
  • Tool Integration: Integration with existing tools and workflows
  • Error Handling: Comprehensive error handling and logging
  • Extensibility: Easy to extend with new automation capabilities

Script Architecture​

Script Organization​

Directory Structure:

scripts/maintenance/
├── ide_issues/
│   ├── detect_ide_issues.py
│   ├── report_ide_issues.py
│   └── prioritize_ide_issues.py
├── quality/
│   ├── run_quality_checks.py
│   ├── collect_quality_metrics.py
│   └── generate_quality_report.py
├── dependencies/
│   ├── scan_dependencies.py
│   ├── check_vulnerabilities.py
│   └── suggest_updates.py
├── documentation/
│   ├── validate_documentation.py
│   └── check_documentation_health.py
└── common/
    ├── utils.py
    ├── reporting.py
    └── integration.py

Script Patterns​

Common Script Pattern:

#!/usr/bin/env python3
"""
Script: [Script Name]
Purpose: [Purpose description]
Epic: Epic 7 - Codebase Maintenance and Review
Story: Story 4 - Maintenance Automation and Tooling
"""

import argparse
import sys
from pathlib import Path

def main():
    parser = argparse.ArgumentParser(description='[Description]')
    parser.add_argument('--config', help='Configuration file path')
    parser.add_argument('--output', help='Output file path')
    parser.add_argument('--verbose', action='store_true', help='Verbose output')
    args = parser.parse_args()
    
    try:
        # Script logic here
        result = execute_automation(args)
        return 0 if result else 1
    except Exception as e:
        print(f"Error: {e}", file=sys.stderr)
        return 1

if __name__ == '__main__':
    sys.exit(main())

Script 1: IDE-Issue Detection and Reporting​

Script: detect_ide_issues.py​

Purpose: Automatically detect IDE-flagged issues across the codebase

Functionality:

  • Scan codebase for IDE-flagged issues
  • Collect issue metadata (file, line, message, severity)
  • Categorize issues by type and source
  • Generate issue reports

Usage:

python scripts/maintenance/ide_issues/detect_ide_issues.py \
  --source-dir . \
  --output reports/ide_issues.json \
  --format json

Output:

  • JSON report with issue details
  • Markdown summary report
  • Issue categorization

Script 2: Code Quality Checks​

Script: run_quality_checks.py​

Purpose: Automatically run code quality checks and collect metrics

Functionality:

  • Run static analysis tools
  • Collect quality metrics
  • Compare against thresholds
  • Generate quality reports

Usage:

python scripts/maintenance/quality/run_quality_checks.py \
  --source-dir . \
  --output reports/quality_report.json \
  --thresholds config/quality_thresholds.yaml

Output:

  • Quality metrics report
  • Threshold comparison
  • Quality alerts

Script 3: Dependency Scanning​

Script: scan_dependencies.py​

Purpose: Automatically scan for dependency updates and vulnerabilities

Functionality:

  • Scan project dependencies
  • Check for available updates
  • Check for security vulnerabilities
  • Generate dependency reports

Usage:

python scripts/maintenance/dependencies/scan_dependencies.py \
  --requirements requirements.txt \
  --output reports/dependencies.json \
  --check-vulnerabilities

Output:

  • Dependency update report
  • Vulnerability report
  • Update recommendations

Script 4: Documentation Validation​

Script: validate_documentation.py​

Purpose: Automatically validate documentation format and health

Functionality:

  • Validate documentation format
  • Check documentation completeness
  • Validate documentation links
  • Check documentation currency

Usage:

python scripts/maintenance/documentation/validate_documentation.py \
  --docs-dir docs/ \
  --output reports/doc_validation.json \
  --check-links

Output:

  • Documentation validation report
  • Link validation report
  • Health score

Tool Specifications​

IDE Issue Detection Tool​

Tool: IDE Diagnostics API / Linter Integration

Capabilities:

  • Real-time issue detection
  • Issue categorization
  • Severity assessment
  • Metadata collection

Integration:

  • Cursor IDE read_lints API
  • Linter tools (pylint, flake8, etc.)
  • Static analysis tools

Code Quality Tool​

Tool: Static Analysis Tools

Capabilities:

  • Code complexity analysis
  • Code coverage analysis
  • Code duplication detection
  • Maintainability assessment

Integration:

  • SonarQube (if available)
  • CodeClimate (if available)
  • Custom analysis tools

Dependency Scanning Tool​

Tool: Dependency Management Tools

Capabilities:

  • Dependency version checking
  • Vulnerability scanning
  • Update recommendations
  • Compatibility checking

Integration:

  • pip-audit (Python)
  • Safety (Python)
  • npm audit (Node.js, if applicable)

Documentation Validation Tool​

Tool: Documentation Analysis Tools

Capabilities:

  • Markdown validation
  • Link checking
  • Format validation
  • Completeness checking

Integration:

  • Markdown linters
  • Link checkers
  • Custom validation tools

Error Handling and Logging​

Error Handling Pattern​

Error Categories:

  • Configuration Errors: Invalid configuration
  • Tool Errors: Tool execution failures
  • Data Errors: Invalid data or format
  • Integration Errors: Workflow integration failures

Error Handling:

try:
    result = execute_automation()
except ConfigurationError as e:
    log_error(f"Configuration error: {e}")
    return 1
except ToolError as e:
    log_error(f"Tool error: {e}")
    return 1
except Exception as e:
    log_error(f"Unexpected error: {e}")
    return 1

Logging Pattern​

Log Levels:

  • DEBUG: Detailed debugging information
  • INFO: General information
  • WARNING: Warning messages
  • ERROR: Error messages
  • CRITICAL: Critical errors

Logging:

import logging

logging.basicConfig(
    level=logging.INFO,
    format='%(asctime)s - %(name)s - %(levelname)s - %(message)s'
)
logger = logging.getLogger(__name__)

Script Templates​

Template: Basic Automation Script​

#!/usr/bin/env python3
"""
Template: Basic Automation Script
Purpose: Template for maintenance automation scripts
"""

import argparse
import logging
import sys
from pathlib import Path

# Configure logging
logging.basicConfig(
    level=logging.INFO,
    format='%(asctime)s - %(name)s - %(levelname)s - %(message)s'
)
logger = logging.getLogger(__name__)

def execute_automation(args):
    """Execute automation logic."""
    try:
        logger.info("Starting automation...")
        # Automation logic here
        logger.info("Automation completed successfully")
        return True
    except Exception as e:
        logger.error(f"Automation failed: {e}")
        return False

def main():
    parser = argparse.ArgumentParser(description='Automation script template')
    parser.add_argument('--config', help='Configuration file')
    parser.add_argument('--output', help='Output file')
    parser.add_argument('--verbose', action='store_true', help='Verbose output')
    args = parser.parse_args()
    
    if args.verbose:
        logging.getLogger().setLevel(logging.DEBUG)
    
    success = execute_automation(args)
    return 0 if success else 1

if __name__ == '__main__':
    sys.exit(main())

Usage Examples​

Example 1: IDE Issue Detection​

# Detect IDE issues
python scripts/maintenance/ide_issues/detect_ide_issues.py \
  --source-dir . \
  --output reports/ide_issues_$(date +%Y%m%d).json

# Report IDE issues
python scripts/maintenance/ide_issues/report_ide_issues.py \
  --input reports/ide_issues_$(date +%Y%m%d).json \
  --output reports/ide_issues_report.md

Example 2: Quality Checks​

# Run quality checks
python scripts/maintenance/quality/run_quality_checks.py \
  --source-dir . \
  --output reports/quality_$(date +%Y%m%d).json

# Generate quality report
python scripts/maintenance/quality/generate_quality_report.py \
  --input reports/quality_$(date +%Y%m%d).json \
  --output reports/quality_report.md

Example 3: Dependency Scanning​

# Scan dependencies
python scripts/maintenance/dependencies/scan_dependencies.py \
  --requirements requirements.txt \
  --check-vulnerabilities \
  --output reports/dependencies_$(date +%Y%m%d).json

Integration Points​

Release Workflow Integration​

RW Step 9 Integration:

  • IDE issue detection in RW Step 9
  • Quality checks before commit
  • Dependency checks before release

Update Kanban Workflow Integration​

UKW Integration:

  • Automated task creation from findings
  • Status updates based on automation results
  • Metrics updates in Kanban

Maintenance Workflow Integration​

Maintenance Workflow Integration:

  • Automated issue detection
  • Automated prioritization
  • Automated task creation

Best Practices​

Script Development​

Guidelines:

  • Follow consistent script patterns
  • Implement comprehensive error handling
  • Use logging for debugging
  • Document script usage
  • Test scripts thoroughly

Tool Integration​

Guidelines:

  • Use standard tool interfaces
  • Handle tool failures gracefully
  • Provide fallback options
  • Document tool requirements

References​

  • Maintenance Automation Requirements: docs/architecture/standards-and-adrs/maintenance-automation-requirements.md
  • Maintenance Workflow Processes: docs/architecture/standards-and-adrs/maintenance-workflow-processes.md
  • Epic 7: docs/project-management/kanban/epics/Epic-7/Epic-7.md
  • Story 4: docs/project-management/kanban/epics/Epic-7/Story-004-maintenance-automation-and-tooling.md

Last updated: 2026-01-05 (v0.7.4.2+0 – Maintenance automation scripts and tools developed)