# Comprehensive automated reporting system
class AutomatedReportGenerator:
    def __init__(self):
        self.template_library = '/sandbox/templates/'
        self.output_directory = '/sandbox/generated_reports/'
        self.data_sources = {}
        
    async def generate_comprehensive_report(self, report_config):
        """Generate complete report from analysis data."""
        
        print(f"📋 Generating report: {report_config['report_name']}")
        
        # Phase 1: Data collection and preparation
        report_data = await self.collect_report_data(report_config)
        
        # Phase 2: Template selection and customization
        template_config = await self.prepare_template(report_config, report_data)
        
        # Phase 3: Document generation
        document = await self.generate_document(template_config, report_data)
        
        # Phase 4: Quality assurance and validation
        validated_doc = await self.validate_document(document)
        
        # Phase 5: Output generation and delivery
        final_report = await self.finalize_report(validated_doc, report_config)
        
        return final_report
    
    async def collect_report_data(self, config):
        """Collect and organize data from various sources."""
        
        data = {
            'metadata': {
                'report_title': config['title'],
                'generation_date': datetime.now().isoformat(),
                'report_period': config.get('period', {}),
                'author': config.get('author', 'Automated System')
            }
        }
        
        # Collect from analysis results
        if 'analysis_files' in config:
            analysis_data = {}
            for file_path in config['analysis_files']:
                with open(file_path, 'r') as f:
                    analysis_result = json.load(f)
                    file_key = os.path.basename(file_path).replace('.json', '')
                    analysis_data[file_key] = analysis_result
            data['analysis'] = analysis_data
        
        # Collect from Excel files
        if 'excel_sources' in config:
            excel_data = {}
            for excel_config in config['excel_sources']:
                excel_result = await xlsxAnalysis({
                    'filePath': excel_config['path'],
                    'operation': 'data_extraction',
                    'sheetName': excel_config.get('sheet', None)
                })
                excel_data[excel_config['name']] = excel_result
            data['excel'] = excel_data
        
        # Collect from database or API sources
        if 'external_sources' in config:
            external_data = await self.collect_external_data(config['external_sources'])
            data['external'] = external_data
        
        return data
    
    async def prepare_template(self, config, data):
        """Select and customize template based on report type."""
        
        template_type = config.get('template_type', 'standard_report')
        base_template = f"{self.template_library}{template_type}.docx"
        
        # Customize template based on data characteristics
        template_config = {
            'base_template': base_template,
            'customizations': {
                'include_toc': len(data.get('analysis', {})) > 3,
                'include_executive_summary': config.get('executive_summary', True),
                'chart_style': config.get('chart_style', 'professional'),
                'color_scheme': config.get('color_scheme', 'corporate')
            },
            'sections': self.determine_sections(data, config)
        }
        
        return template_config
    
    async def generate_document(self, template_config, data):
        """Generate the main document using template and data."""
        
        # Generate charts and visualizations first
        chart_paths = await self.generate_charts(data)
        data['charts'] = chart_paths
        
        # Process template with data
        document = await reportTemplates({
            'operation': 'generate_from_template',
            'template': template_config['base_template'],
            'data': data,
            'customizations': template_config['customizations'],
            'outputPath': f"{self.output_directory}temp_report.docx"
        })
        
        # Add dynamic content sections
        for section in template_config['sections']:
            await self.add_dynamic_section(document['outputPath'], section, data)
        
        return document
    
    async def generate_charts(self, data):
        """Generate charts from analysis data."""
        
        chart_paths = {}
        
        # Generate charts from statistical analysis
        if 'analysis' in data:
            for analysis_name, analysis_result in data['analysis'].items():
                if 'statistics' in analysis_result:
                    # Create correlation matrix chart
                    if 'correlation_matrix' in analysis_result['statistics']:
                        chart_path = f"/sandbox/charts/{analysis_name}_correlation.png"
                        await self.create_correlation_chart(
                            analysis_result['statistics']['correlation_matrix'],
                            chart_path
                        )
                        chart_paths[f"{analysis_name}_correlation"] = chart_path
                    
                    # Create distribution charts
                    if 'distributions' in analysis_result['statistics']:
                        chart_path = f"/sandbox/charts/{analysis_name}_distributions.png"
                        await self.create_distribution_chart(
                            analysis_result['statistics']['distributions'],
                            chart_path
                        )
                        chart_paths[f"{analysis_name}_distributions"] = chart_path
        
        # Generate charts from Excel data
        if 'excel' in data:
            for excel_name, excel_data in data['excel'].items():
                if 'data' in excel_data:
                    chart_path = f"/sandbox/charts/{excel_name}_summary.png"
                    await self.create_excel_chart(excel_data['data'], chart_path)
                    chart_paths[f"{excel_name}_chart"] = chart_path
        
        return chart_paths
    
    async def add_dynamic_section(self, document_path, section_config, data):
        """Add dynamic content sections to the document."""
        
        if section_config['type'] == 'data_table':
            await self.insert_data_table(document_path, section_config, data)
        elif section_config['type'] == 'chart_gallery':
            await self.insert_chart_gallery(document_path, section_config, data)
        elif section_config['type'] == 'insights_summary':
            await self.insert_insights_summary(document_path, section_config, data)
    
    async def validate_document(self, document):
        """Perform quality assurance on generated document."""
        
        validation_results = await documentProcessing({
            'operation': 'document_validation',
            'inputDocument': document['outputPath'],
            'checks': [
                'formatting_consistency',
                'image_quality',
                'table_formatting',
                'text_overflow',
                'page_breaks'
            ]
        })
        
        # Fix common issues
        if validation_results.get('issues'):
            fixed_document = await documentProcessing({
                'operation': 'auto_fix_issues',
                'inputDocument': document['outputPath'],
                'fixes': validation_results['recommended_fixes']
            })
            return fixed_document
        
        return document
    
    async def finalize_report(self, document, config):
        """Finalize report with metadata and output formats."""
        
        # Update document metadata
        final_document = await documentProcessing({
            'operation': 'update_metadata',
            'inputDocument': document['outputPath'],
            'metadata': {
                'title': config['title'],
                'author': config.get('author', 'Automated System'),
                'subject': config.get('subject', ''),
                'keywords': config.get('keywords', []),
                'created': datetime.now().isoformat()
            }
        })
        
        # Generate additional formats if requested
        output_formats = config.get('output_formats', ['docx'])
        format_outputs = {}
        
        for format_type in output_formats:
            if format_type == 'pdf':
                pdf_output = await documentProcessing({
                    'operation': 'convert_to_pdf',
                    'inputDocument': final_document['outputPath'],
                    'outputPath': final_document['outputPath'].replace('.docx', '.pdf')
                })
                format_outputs['pdf'] = pdf_output['outputPath']
            elif format_type == 'html':
                html_output = await documentProcessing({
                    'operation': 'convert_to_html',
                    'inputDocument': final_document['outputPath'],
                    'outputPath': final_document['outputPath'].replace('.docx', '.html')
                })
                format_outputs['html'] = html_output['outputPath']
        
        return {
            'primary_document': final_document['outputPath'],
            'additional_formats': format_outputs,
            'generation_summary': {
                'report_name': config['title'],
                'generation_time': datetime.now().isoformat(),
                'data_sources': len(config.get('analysis_files', []) + config.get('excel_sources', [])),
                'output_formats': output_formats
            }
        }
    
    def determine_sections(self, data, config):
        """Determine document sections based on available data."""
        
        sections = []
        
        if config.get('include_executive_summary', True):
            sections.append({
                'type': 'executive_summary',
                'data_source': 'analysis'
            })
        
        if 'analysis' in data:
            sections.append({
                'type': 'data_table',
                'name': 'Analysis Results Summary',
                'data_source': 'analysis'
            })
        
        if 'excel' in data:
            sections.append({
                'type': 'data_table',
                'name': 'Excel Data Summary',
                'data_source': 'excel'
            })
        
        if data.get('charts'):
            sections.append({
                'type': 'chart_gallery',
                'name': 'Data Visualizations'
            })
        
        return sections

# Usage example
async def generate_quarterly_report():
    """Generate comprehensive quarterly report."""
    
    generator = AutomatedReportGenerator()
    
    report_config = {
        'report_name': 'Q4 2024 Business Analysis',
        'title': 'Quarterly Business Performance Report - Q4 2024',
        'template_type': 'quarterly_business_report',
        'author': 'Business Analytics Team',
        'period': {
            'quarter': 'Q4',
            'year': 2024,
            'start_date': '2024-10-01',
            'end_date': '2024-12-31'
        },
        'analysis_files': [
            '/sandbox/analysis/sales_analysis.json',
            '/sandbox/analysis/customer_analysis.json',
            '/sandbox/analysis/financial_analysis.json'
        ],
        'excel_sources': [
            {
                'name': 'sales_data',
                'path': '/sandbox/data/q4_sales.xlsx',
                'sheet': 'Summary'
            },
            {
                'name': 'financial_data',
                'path': '/sandbox/data/q4_financials.xlsx'
            }
        ],
        'output_formats': ['docx', 'pdf', 'html'],
        'include_executive_summary': True,
        'chart_style': 'professional',
        'color_scheme': 'corporate'
    }
    
    result = await generator.generate_comprehensive_report(report_config)
    
    print(f"✅ Report generated successfully:")
    print(f"   📄 Primary document: {result['primary_document']}")
    for format_type, path in result['additional_formats'].items():
        print(f"   📄 {format_type.upper()}: {path}")
    
    return result

# Execute report generation
quarterly_report = await generate_quarterly_report()