# Enterprise Export Capabilities

VizlyChart provides comprehensive export capabilities designed for enterprise environments, including professional formats, branding support, and compliance features.

## Overview

VizlyChart's enterprise export system supports:

- **PowerPoint**: Professional presentation slides with corporate branding
- **Excel**: Rich workbooks with data, charts, and metadata
- **PDF**: Multi-page reports with compliance features
- **HTML**: Interactive reports with responsive design
- **Compliance Packages**: ZIP archives with audit trails and metadata

## PowerPoint Export

### Basic PowerPoint Export

```python
from vizlychart.enterprise import EnterpriseExporter
import vizlychart as vc

# Create charts
revenue_chart = vc.LineChart()
revenue_chart.plot(dates, revenue, label="Revenue Growth")
revenue_chart.set_title("Q4 Revenue Performance")

profit_chart = vc.BarChart()
profit_chart.plot(quarters, profit, color='green')
profit_chart.set_title("Quarterly Profit Analysis")

# Create exporter
exporter = EnterpriseExporter()

# Export to PowerPoint
exporter.export_powerpoint(
    charts=[revenue_chart, profit_chart],
    filename="quarterly_report.pptx",
    title="Q4 Business Review"
)
```

### Advanced PowerPoint Features

```python
from vizlychart.enterprise import EnterpriseExporter, BrandingConfig, SlideLayout

# Configure corporate branding
branding = BrandingConfig(
    primary_color="#1E40AF",
    secondary_color="#3B82F6",
    logo_path="company_logo.png",
    font_family="Arial",
    template_path="corporate_template.pptx"
)

# Create exporter with branding
exporter = EnterpriseExporter(branding=branding)

# Advanced export with custom layouts
exporter.export_powerpoint(
    charts=[revenue_chart, profit_chart, market_share_chart],
    filename="executive_presentation.pptx",
    layouts=[
        SlideLayout.TITLE_SLIDE,
        SlideLayout.CHART_ONLY,
        SlideLayout.CHART_WITH_BULLETS,
        SlideLayout.COMPARISON_CHARTS
    ],
    speaker_notes=[
        "Welcome to Q4 review",
        "Revenue exceeded targets by 15%",
        "Profit margins improved significantly",
        "Market share gained in key segments"
    ],
    include_data_slides=True,
    add_executive_summary=True
)
```

### PowerPoint Customization Options

```python
from vizlychart.enterprise import PowerPointConfig

# Detailed PowerPoint configuration
ppt_config = PowerPointConfig(
    slide_size="16:9",  # or "4:3"
    theme="corporate",
    add_slide_numbers=True,
    add_date=True,
    add_company_footer=True,
    chart_position="center",
    chart_size=(8, 6),  # inches
    title_font_size=24,
    content_font_size=14,
    animation_style="fade_in",
    transition_style="push"
)

# Export with custom configuration
exporter.export_powerpoint(
    charts=charts,
    filename="custom_presentation.pptx",
    config=ppt_config
)
```

## Excel Export

### Comprehensive Excel Reports

```python
from vizlychart.enterprise import ExcelExporter

# Create Excel exporter
excel_exporter = ExcelExporter()

# Export with multiple worksheets
excel_exporter.export_workbook(
    filename="business_analysis.xlsx",
    worksheets=[
        {
            "name": "Executive Summary",
            "charts": [summary_chart],
            "data": summary_data,
            "description": "High-level business metrics"
        },
        {
            "name": "Revenue Analysis",
            "charts": [revenue_trend, revenue_breakdown],
            "data": revenue_data,
            "description": "Detailed revenue analysis"
        },
        {
            "name": "Market Analysis",
            "charts": [market_share, competitor_analysis],
            "data": market_data,
            "description": "Market position and competition"
        }
    ]
)
```

### Excel with Data Tables and Formatting

```python
from vizlychart.enterprise import ExcelFormatter

# Advanced Excel export with formatting
formatter = ExcelFormatter(
    header_style={
        'font': {'bold': True, 'color': 'FFFFFF'},
        'fill': {'fgColor': '1E40AF'},
        'alignment': {'horizontal': 'center'}
    },
    data_style={
        'font': {'name': 'Arial', 'size': 11},
        'alignment': {'horizontal': 'left'}
    },
    number_format='#,##0.00'
)

excel_exporter.export_chart_with_data(
    chart=sales_chart,
    data=sales_dataframe,
    filename="sales_report.xlsx",
    formatter=formatter,
    include_pivot_table=True,
    add_formulas=['SUM', 'AVERAGE', 'MAX', 'MIN'],
    conditional_formatting=True
)
```

## PDF Reports

### Multi-Page PDF Reports

```python
from vizlychart.enterprise import PDFReporter

# Create comprehensive PDF report
pdf_reporter = PDFReporter(
    template="business_report.html",
    branding=branding,
    page_format="A4",
    orientation="portrait"
)

# Generate report sections
report_sections = [
    {
        "title": "Executive Summary",
        "content": executive_summary_text,
        "charts": [key_metrics_chart]
    },
    {
        "title": "Financial Performance",
        "content": financial_analysis_text,
        "charts": [revenue_chart, profit_chart],
        "tables": [financial_table]
    },
    {
        "title": "Market Analysis",
        "content": market_analysis_text,
        "charts": [market_share_chart, competition_chart]
    }
]

# Export to PDF
pdf_reporter.generate_report(
    sections=report_sections,
    filename="quarterly_report.pdf",
    include_toc=True,
    add_page_numbers=True,
    watermark="CONFIDENTIAL"
)
```

### PDF with Compliance Features

```python
from vizlychart.enterprise import CompliancePDFReporter

# Create compliance-ready PDF
compliance_reporter = CompliancePDFReporter(
    regulations=["SOX", "GDPR", "HIPAA"],
    retention_policy="7_years",
    classification="confidential"
)

# Export with audit trail
compliance_reporter.export_with_audit_trail(
    charts=financial_charts,
    data_sources=data_lineage,
    approvals=approval_chain,
    filename="regulatory_report.pdf",
    digital_signature=True,
    encryption=True
)
```

## HTML Interactive Reports

### Responsive HTML Reports

```python
from vizlychart.enterprise import HTMLReporter

# Create interactive HTML report
html_reporter = HTMLReporter(
    template="modern_dashboard.html",
    responsive=True,
    include_plotly=True
)

# Generate interactive report
html_reporter.create_dashboard(
    charts=interactive_charts,
    filename="dashboard.html",
    features={
        "filter_controls": True,
        "date_range_picker": True,
        "export_buttons": True,
        "print_friendly": True,
        "mobile_optimized": True
    },
    styling={
        "theme": "corporate",
        "color_scheme": branding.primary_color,
        "layout": "grid"
    }
)
```

### Embedded Analytics Reports

```python
# Create embeddable HTML widgets
html_reporter.create_embeddable_charts(
    charts=dashboard_charts,
    output_dir="widgets/",
    iframe_safe=True,
    responsive=True,
    api_enabled=True
)

# Generate embed codes
embed_codes = html_reporter.generate_embed_codes(
    chart_ids=["revenue_trend", "market_share", "performance_kpi"],
    width="100%",
    height=400,
    theme="light"
)

print("Embed codes for web integration:")
for chart_id, embed_code in embed_codes.items():
    print(f"{chart_id}: {embed_code}")
```

## Compliance and Audit Features

### Audit Trail Export

```python
from vizlychart.enterprise import ComplianceTracker, AuditExporter

# Track chart creation and modifications
tracker = ComplianceTracker()

with tracker.track_session("Q4_analysis"):
    # All chart operations are tracked
    revenue_chart = vc.LineChart()
    revenue_chart.plot(data['date'], data['revenue'])

    # Modifications are logged
    revenue_chart.set_title("Revenue Trend Q4 2023")

    # Data access is logged
    sensitivity_level = tracker.classify_data(data)

# Export audit trail
audit_exporter = AuditExporter()
audit_exporter.export_audit_package(
    session_id="Q4_analysis",
    filename="audit_package.zip",
    include_data_lineage=True,
    include_user_actions=True,
    include_system_logs=True
)
```

### Data Governance Integration

```python
from vizlychart.enterprise import DataGovernance

# Configure data governance
governance = DataGovernance(
    data_classification_rules={
        "revenue": "confidential",
        "customer_data": "restricted",
        "market_data": "internal"
    },
    access_controls={
        "executive": ["confidential", "restricted", "internal"],
        "analyst": ["internal", "public"],
        "external": ["public"]
    }
)

# Export with governance controls
exporter = EnterpriseExporter(governance=governance)

# Exports automatically apply appropriate watermarks and restrictions
exporter.export_powerpoint(
    charts=charts,
    filename="executive_report.pptx",
    user_role="executive",  # Determines access levels
    apply_watermarks=True,
    restrict_editing=True
)
```

## Batch Export Operations

### Automated Report Generation

```python
from vizlychart.enterprise import BatchExporter, ReportScheduler

# Configure batch export
batch_exporter = BatchExporter(
    output_directory="reports/",
    naming_convention="report_{date}_{type}_{department}"
)

# Define report templates
report_templates = {
    "executive_summary": {
        "charts": ["key_metrics", "revenue_trend", "profit_analysis"],
        "format": "pptx",
        "branding": "executive",
        "distribution": ["ceo@company.com", "cfo@company.com"]
    },
    "operational_report": {
        "charts": ["operations_kpi", "efficiency_metrics"],
        "format": "pdf",
        "branding": "operational",
        "distribution": ["ops@company.com"]
    }
}

# Generate all reports
batch_exporter.generate_reports(
    data_source=business_data,
    templates=report_templates,
    schedule="weekly"
)
```

### Scheduled Export Automation

```python
# Set up automated report generation
scheduler = ReportScheduler()

# Schedule weekly executive reports
scheduler.add_schedule(
    name="weekly_executive_report",
    template="executive_summary",
    frequency="weekly",
    day="monday",
    time="09:00",
    data_source=lambda: fetch_latest_business_data(),
    recipients=["executives@company.com"]
)

# Schedule monthly compliance reports
scheduler.add_schedule(
    name="monthly_compliance_report",
    template="compliance_package",
    frequency="monthly",
    day=1,
    time="08:00",
    data_source=lambda: fetch_compliance_data(),
    recipients=["compliance@company.com"],
    approval_required=True
)

# Start scheduler
scheduler.start()
```

## Export Configuration

### Global Export Settings

```python
from vizlychart.enterprise import ExportConfig

# Configure global export settings
vc.set_export_config(ExportConfig(
    default_format="pdf",
    quality="high",
    embed_data=True,
    add_metadata=True,
    compress_output=True,

    # Branding
    apply_branding=True,
    logo_position="top_right",
    watermark_opacity=0.1,

    # Security
    encrypt_sensitive=True,
    require_approval=True,
    audit_all_exports=True,

    # Performance
    parallel_processing=True,
    cache_templates=True,
    optimize_images=True
))
```

### Format-Specific Settings

```python
# PowerPoint-specific settings
ppt_settings = vc.export_config.powerpoint
ppt_settings.animation = "fade"
ppt_settings.template = "corporate_template.pptx"
ppt_settings.slide_master = "title_master"

# PDF-specific settings
pdf_settings = vc.export_config.pdf
pdf_settings.dpi = 300
pdf_settings.optimize_for_print = True
pdf_settings.embed_fonts = True

# Excel-specific settings
excel_settings = vc.export_config.excel
excel_settings.auto_format = True
excel_settings.freeze_panes = True
excel_settings.add_charts_to_data = True
```

## Best Practices

### 1. Template Management

```python
# Use consistent templates
template_manager = vc.enterprise.TemplateManager()

# Register corporate templates
template_manager.register_template(
    name="executive_presentation",
    path="templates/executive.pptx",
    description="Executive presentation template",
    compatible_formats=["pptx"]
)

# Use templates in exports
exporter.use_template("executive_presentation")
```

### 2. Branding Consistency

```python
# Create brand guidelines
brand_guidelines = BrandingConfig.from_file("brand_guidelines.json")

# Apply consistently across all exports
vc.set_default_branding(brand_guidelines)

# All exports now use consistent branding
```

### 3. Performance Optimization

```python
# For large-scale exports
exporter = EnterpriseExporter(
    parallel_processing=True,
    cache_charts=True,
    compress_images=True,
    optimize_memory=True
)

# Process multiple exports efficiently
exporter.batch_export(
    export_jobs=large_export_list,
    max_workers=4,
    progress_callback=lambda progress: print(f"Progress: {progress}%")
)
```

### 4. Error Handling and Recovery

```python
from vizlychart.enterprise import ExportError, RetryConfig

# Configure retry behavior
retry_config = RetryConfig(
    max_attempts=3,
    backoff_factor=2,
    retry_on=[ExportError.TEMPLATE_LOAD_FAILED, ExportError.NETWORK_ERROR]
)

try:
    exporter.export_powerpoint(
        charts=charts,
        filename="report.pptx",
        retry_config=retry_config
    )
except ExportError as e:
    # Log error and send notification
    logger.error(f"Export failed: {e}")
    send_alert(f"Report generation failed: {e}")
```

## Enterprise Integration Examples

### SharePoint Integration

```python
from vizlychart.enterprise.integrations import SharePointConnector

# Connect to SharePoint
sharepoint = SharePointConnector(
    site_url="https://company.sharepoint.com/sites/analytics",
    credentials=credentials
)

# Export directly to SharePoint
exporter.export_to_sharepoint(
    charts=quarterly_charts,
    sharepoint_conn=sharepoint,
    folder="Reports/Q4_2023",
    filename="quarterly_analysis.pptx",
    metadata={
        "department": "Finance",
        "classification": "Confidential",
        "retention": "7_years"
    }
)
```

### Salesforce Integration

```python
from vizlychart.enterprise.integrations import SalesforceConnector

# Connect to Salesforce
salesforce = SalesforceConnector(
    username="user@company.com",
    password=password,
    security_token=token
)

# Export sales analysis to Salesforce
exporter.export_to_salesforce(
    charts=sales_charts,
    salesforce_conn=salesforce,
    object_type="Report",
    folder="Sales_Analytics"
)
```

---

VizlyChart's enterprise export capabilities ensure your visualizations meet professional standards while maintaining compliance and audit requirements. The flexible system adapts to various enterprise workflows and integrates seamlessly with existing business processes.