"""
Advanced Notebook Features for Pipeline Runtime Testing

This module provides advanced features for Jupyter notebook integration including
automated report generation, collaborative features, and integration with external tools.
"""

from typing import Dict, List, Any, Optional, Union, Callable
from pathlib import Path
import json
import asyncio
from datetime import datetime, timedelta
from concurrent.futures import ThreadPoolExecutor
from pydantic import BaseModel, Field, ConfigDict

try:
    from IPython.display import display, HTML, Javascript, Image
    import ipywidgets as widgets
    from ipywidgets import interact, interactive, fixed
    import matplotlib.pyplot as plt
    import seaborn as sns
    JUPYTER_AVAILABLE = True
except ImportError:
    JUPYTER_AVAILABLE = False
    # Create mock classes for graceful fallback
    class widgets:
        class Output: pass
        class VBox: pass
        class HBox: pass
        class Tab: pass
        class Accordion: pass
    class interact: pass
    class interactive: pass


class NotebookSession(BaseModel):
    """Advanced notebook session management"""
    model_config = ConfigDict(arbitrary_types_allowed=True)
    
    session_id: str
    user_id: Optional[str] = None
    pipeline_name: str
    workspace_path: Path
    created_at: datetime = Field(default_factory=datetime.now)
    last_activity: datetime = Field(default_factory=datetime.now)
    session_data: Dict[str, Any] = Field(default_factory=dict)
    bookmarks: List[Dict[str, Any]] = Field(default_factory=list)
    annotations: List[Dict[str, Any]] = Field(default_factory=list)


class CollaborationManager:
    """Manages collaborative features for notebook sessions"""
    
    def __init__(self):
        self.active_sessions: Dict[str, NotebookSession] = {}
        self.shared_workspaces: Dict[str, Dict[str, Any]] = {}
    
    def create_session(self, pipeline_name: str, user_id: Optional[str] = None) -> str:
        """Create a new collaborative session"""
        session_id = f"session_{datetime.now().strftime('%Y%m%d_%H%M%S')}"
        
        session = NotebookSession(
            session_id=session_id,
            user_id=user_id,
            pipeline_name=pipeline_name,
            workspace_path=Path.cwd() / "workspace" / session_id
        )
        
        session.workspace_path.mkdir(parents=True, exist_ok=True)
        self.active_sessions[session_id] = session
        
        return session_id
    
    def add_bookmark(self, session_id: str, name: str, cell_index: int, description: str = ""):
        """Add a bookmark to a session"""
        if session_id in self.active_sessions:
            bookmark = {
                'name': name,
                'cell_index': cell_index,
                'description': description,
                'created_at': datetime.now().isoformat(),
                'user_id': self.active_sessions[session_id].user_id
            }
            self.active_sessions[session_id].bookmarks.append(bookmark)
    
    def add_annotation(self, session_id: str, cell_index: int, annotation: str, annotation_type: str = "note"):
        """Add an annotation to a cell"""
        if session_id in self.active_sessions:
            annotation_data = {
                'cell_index': cell_index,
                'annotation': annotation,
                'type': annotation_type,
                'created_at': datetime.now().isoformat(),
                'user_id': self.active_sessions[session_id].user_id
            }
            self.active_sessions[session_id].annotations.append(annotation_data)


class AutomatedReportGenerator:
    """Generates automated reports from notebook execution results"""
    
    def __init__(self):
        self.report_templates: Dict[str, Dict[str, Any]] = {}
        self.execution_results: List[Dict[str, Any]] = []
        
        # Initialize default report templates
        self._initialize_report_templates()
    
    def _initialize_report_templates(self):
        """Initialize default report templates"""
        self.report_templates = {
            'executive_summary': {
                'title': 'Executive Summary',
                'sections': [
                    'pipeline_overview',
                    'key_metrics',
                    'success_rate',
                    'recommendations'
                ]
            },
            'technical_report': {
                'title': 'Technical Analysis Report',
                'sections': [
                    'pipeline_details',
                    'performance_metrics',
                    'error_analysis',
                    'data_quality_assessment',
                    'optimization_suggestions'
                ]
            },
            'data_quality_report': {
                'title': 'Data Quality Assessment',
                'sections': [
                    'data_completeness',
                    'data_validity',
                    'schema_compliance',
                    'anomaly_detection'
                ]
            }
        }
    
    def generate_report(self, template_name: str, execution_data: Dict[str, Any]) -> str:
        """Generate a report based on template and execution data"""
        if template_name not in self.report_templates:
            raise ValueError(f"Report template '{template_name}' not found")
        
        template = self.report_templates[template_name]
        report_sections = []
        
        # Generate title
        report_sections.append(f"# {template['title']}")
        report_sections.append(f"Generated on: {datetime.now().strftime('%Y-%m-%d %H:%M:%S')}")
        report_sections.append("")
        
        # Generate sections
        for section in template['sections']:
            section_content = self._generate_section(section, execution_data)
            if section_content:
                report_sections.append(section_content)
                report_sections.append("")
        
        return "\n".join(report_sections)
    
    def _generate_section(self, section_name: str, data: Dict[str, Any]) -> str:
        """Generate a specific section of the report"""
        if section_name == 'pipeline_overview':
            return self._generate_pipeline_overview(data)
        elif section_name == 'key_metrics':
            return self._generate_key_metrics(data)
        elif section_name == 'success_rate':
            return self._generate_success_rate(data)
        elif section_name == 'performance_metrics':
            return self._generate_performance_metrics(data)
        elif section_name == 'error_analysis':
            return self._generate_error_analysis(data)
        elif section_name == 'data_quality_assessment':
            return self._generate_data_quality_assessment(data)
        else:
            return f"## {section_name.replace('_', ' ').title()}\n\nSection content not implemented."
    
    def _generate_pipeline_overview(self, data: Dict[str, Any]) -> str:
        """Generate pipeline overview section"""
        pipeline_name = data.get('pipeline_name', 'Unknown')
        total_steps = data.get('total_steps', 0)
        execution_time = data.get('total_execution_time', 0)
        
        return f"""## Pipeline Overview

**Pipeline Name:** {pipeline_name}
**Total Steps:** {total_steps}
**Total Execution Time:** {execution_time:.2f} seconds
**Execution Date:** {data.get('execution_date', 'Unknown')}"""
    
    def _generate_key_metrics(self, data: Dict[str, Any]) -> str:
        """Generate key metrics section"""
        metrics = data.get('metrics', {})
        
        content = ["## Key Metrics"]
        for metric_name, metric_value in metrics.items():
            content.append(f"- **{metric_name.replace('_', ' ').title()}:** {metric_value}")
        
        return "\n".join(content)
    
    def _generate_success_rate(self, data: Dict[str, Any]) -> str:
        """Generate success rate section"""
        total_tests = data.get('total_tests', 0)
        successful_tests = data.get('successful_tests', 0)
        success_rate = (successful_tests / total_tests * 100) if total_tests > 0 else 0
        
        return f"""## Success Rate

**Total Tests:** {total_tests}
**Successful Tests:** {successful_tests}
**Success Rate:** {success_rate:.1f}%"""
    
    def _generate_performance_metrics(self, data: Dict[str, Any]) -> str:
        """Generate performance metrics section"""
        performance_data = data.get('performance_metrics', {})
        
        content = ["## Performance Metrics"]
        
        if 'avg_execution_time' in performance_data:
            content.append(f"**Average Execution Time:** {performance_data['avg_execution_time']:.2f}s")
        
        if 'memory_usage' in performance_data:
            content.append(f"**Peak Memory Usage:** {performance_data['memory_usage']:.2f} MB")
        
        if 'throughput' in performance_data:
            content.append(f"**Throughput:** {performance_data['throughput']:.2f} records/second")
        
        return "\n".join(content)
    
    def _generate_error_analysis(self, data: Dict[str, Any]) -> str:
        """Generate error analysis section"""
        errors = data.get('errors', [])
        
        content = ["## Error Analysis"]
        
        if not errors:
            content.append("No errors detected during execution.")
        else:
            content.append(f"**Total Errors:** {len(errors)}")
            content.append("")
            
            for i, error in enumerate(errors[:5], 1):  # Show top 5 errors
                content.append(f"### Error {i}")
                content.append(f"**Type:** {error.get('type', 'Unknown')}")
                content.append(f"**Message:** {error.get('message', 'No message')}")
                content.append(f"**Step:** {error.get('step', 'Unknown')}")
                content.append("")
        
        return "\n".join(content)
    
    def _generate_data_quality_assessment(self, data: Dict[str, Any]) -> str:
        """Generate data quality assessment section"""
        quality_metrics = data.get('data_quality', {})
        
        content = ["## Data Quality Assessment"]
        
        if 'completeness' in quality_metrics:
            content.append(f"**Data Completeness:** {quality_metrics['completeness']:.1%}")
        
        if 'validity' in quality_metrics:
            content.append(f"**Data Validity:** {quality_metrics['validity']:.1%}")
        
        if 'consistency' in quality_metrics:
            content.append(f"**Data Consistency:** {quality_metrics['consistency']:.1%}")
        
        return "\n".join(content)


class AdvancedNotebookFeatures:
    """
    Advanced features for Jupyter notebook integration
    
    Provides automated report generation, collaborative features,
    performance monitoring, and integration with external tools.
    """
    
    def __init__(self):
        """Initialize advanced notebook features"""
        if not JUPYTER_AVAILABLE:
            print("Warning: Jupyter dependencies not available. Advanced features disabled.")
            return
        
        self.collaboration_manager = CollaborationManager()
        self.report_generator = AutomatedReportGenerator()
        self.performance_monitor = PerformanceMonitor()
        self.widget_factory = AdvancedWidgetFactory()
        
        # Session management
        self.current_session: Optional[str] = None
        self.auto_save_enabled = True
        self.auto_save_interval = 300  # 5 minutes
    
    def create_advanced_dashboard(self) -> Optional[widgets.Tab]:
        """Create an advanced dashboard with multiple tabs"""
        if not JUPYTER_AVAILABLE:
            return None
        
        # Create tabs
        tab = widgets.Tab()
        
        # Tab 1: Session Management
        session_tab = self._create_session_management_tab()
        
        # Tab 2: Performance Monitoring
        performance_tab = self._create_performance_monitoring_tab()
        
        # Tab 3: Report Generation
        report_tab = self._create_report_generation_tab()
        
        # Tab 4: Collaboration Tools
        collaboration_tab = self._create_collaboration_tab()
        
        # Tab 5: Advanced Visualizations
        visualization_tab = self._create_advanced_visualization_tab()
        
        # Set up tabs
        tab.children = [session_tab, performance_tab, report_tab, collaboration_tab, visualization_tab]
        tab.titles = ['Session', 'Performance', 'Reports', 'Collaboration', 'Visualizations']
        
        return tab
    
    def _create_session_management_tab(self) -> widgets.VBox:
        """Create session management tab"""
        # Session info
        session_info = widgets.HTML("<h4>Session Management</h4>")
        
        # Current session display
        current_session_label = widgets.Label(
            value=f"Current Session: {self.current_session or 'None'}"
        )
        
        # New session creation
        pipeline_name_text = widgets.Text(
            placeholder='Enter pipeline name',
            description='Pipeline:'
        )
        
        create_session_button = widgets.Button(
            description='Create Session',
            button_style='primary'
        )
        
        # Session output
        session_output = widgets.Output()
        
        def create_session(*args):
            with session_output:
                session_output.clear_output()
                pipeline_name = pipeline_name_text.value.strip()
                if pipeline_name:
                    session_id = self.collaboration_manager.create_session(pipeline_name)
                    self.current_session = session_id
                    current_session_label.value = f"Current Session: {session_id}"
                    print(f"✅ Session created: {session_id}")
                else:
                    print("❌ Please enter a pipeline name")
        
        create_session_button.on_click(create_session)
        
        # Auto-save settings
        auto_save_checkbox = widgets.Checkbox(
            value=self.auto_save_enabled,
            description='Enable Auto-save'
        )
        
        auto_save_interval_slider = widgets.IntSlider(
            value=self.auto_save_interval,
            min=60,
            max=1800,
            step=60,
            description='Interval (s):'
        )
        
        def update_auto_save(*args):
            self.auto_save_enabled = auto_save_checkbox.value
            self.auto_save_interval = auto_save_interval_slider.value
        
        auto_save_checkbox.observe(update_auto_save, names='value')
        auto_save_interval_slider.observe(update_auto_save, names='value')
        
        return widgets.VBox([
            session_info,
            current_session_label,
            widgets.HBox([pipeline_name_text, create_session_button]),
            session_output,
            widgets.HTML("<h5>Auto-save Settings</h5>"),
            auto_save_checkbox,
            auto_save_interval_slider
        ])
    
    def _create_performance_monitoring_tab(self) -> widgets.VBox:
        """Create performance monitoring tab"""
        performance_info = widgets.HTML("<h4>Performance Monitoring</h4>")
        
        # Real-time metrics display
        metrics_output = widgets.Output()
        
        # Refresh button
        refresh_button = widgets.Button(
            description='Refresh Metrics',
            button_style='info'
        )
        
        def refresh_metrics(*args):
            with metrics_output:
                metrics_output.clear_output()
                metrics = self.performance_monitor.get_current_metrics()
                
                print("=== Current Performance Metrics ===")
                for metric_name, metric_value in metrics.items():
                    print(f"{metric_name}: {metric_value}")
        
        refresh_button.on_click(refresh_metrics)
        
        # Performance alerts
        alerts_output = widgets.Output()
        
        return widgets.VBox([
            performance_info,
            refresh_button,
            metrics_output,
            widgets.HTML("<h5>Performance Alerts</h5>"),
            alerts_output
        ])
    
    def _create_report_generation_tab(self) -> widgets.VBox:
        """Create report generation tab"""
        report_info = widgets.HTML("<h4>Automated Report Generation</h4>")
        
        # Report template selection
        template_dropdown = widgets.Dropdown(
            options=list(self.report_generator.report_templates.keys()),
            description='Template:'
        )
        
        # Generate button
        generate_button = widgets.Button(
            description='Generate Report',
            button_style='success'
        )
        
        # Report output
        report_output = widgets.Output()
        
        def generate_report(*args):
            with report_output:
                report_output.clear_output()
                template_name = template_dropdown.value
                
                # Mock execution data for demonstration
                execution_data = {
                    'pipeline_name': 'Sample Pipeline',
                    'total_steps': 5,
                    'total_execution_time': 120.5,
                    'execution_date': datetime.now().strftime('%Y-%m-%d'),
                    'total_tests': 10,
                    'successful_tests': 8,
                    'metrics': {
                        'avg_response_time': 2.3,
                        'throughput': 150.2,
                        'error_rate': 0.02
                    }
                }
                
                try:
                    report = self.report_generator.generate_report(template_name, execution_data)
                    display(HTML(f"<pre>{report}</pre>"))
                except Exception as e:
                    print(f"❌ Error generating report: {e}")
        
        generate_button.on_click(generate_report)
        
        return widgets.VBox([
            report_info,
            widgets.HBox([template_dropdown, generate_button]),
            report_output
        ])
    
    def _create_collaboration_tab(self) -> widgets.VBox:
        """Create collaboration tab"""
        collab_info = widgets.HTML("<h4>Collaboration Tools</h4>")
        
        # Bookmark management
        bookmark_name_text = widgets.Text(
            placeholder='Bookmark name',
            description='Name:'
        )
        
        bookmark_cell_text = widgets.IntText(
            value=0,
            description='Cell Index:'
        )
        
        bookmark_desc_text = widgets.Textarea(
            placeholder='Description (optional)',
            description='Description:'
        )
        
        add_bookmark_button = widgets.Button(
            description='Add Bookmark',
            button_style='primary'
        )
        
        # Annotation management
        annotation_cell_text = widgets.IntText(
            value=0,
            description='Cell Index:'
        )
        
        annotation_text = widgets.Textarea(
            placeholder='Enter annotation',
            description='Annotation:'
        )
        
        annotation_type_dropdown = widgets.Dropdown(
            options=['note', 'warning', 'todo', 'question'],
            description='Type:'
        )
        
        add_annotation_button = widgets.Button(
            description='Add Annotation',
            button_style='info'
        )
        
        # Output area
        collab_output = widgets.Output()
        
        def add_bookmark(*args):
            with collab_output:
                if self.current_session:
                    self.collaboration_manager.add_bookmark(
                        self.current_session,
                        bookmark_name_text.value,
                        bookmark_cell_text.value,
                        bookmark_desc_text.value
                    )
                    print(f"✅ Bookmark '{bookmark_name_text.value}' added")
                    bookmark_name_text.value = ""
                    bookmark_desc_text.value = ""
                else:
                    print("❌ No active session")
        
        def add_annotation(*args):
            with collab_output:
                if self.current_session:
                    self.collaboration_manager.add_annotation(
                        self.current_session,
                        annotation_cell_text.value,
                        annotation_text.value,
                        annotation_type_dropdown.value
                    )
                    print(f"✅ Annotation added to cell {annotation_cell_text.value}")
                    annotation_text.value = ""
                else:
                    print("❌ No active session")
        
        add_bookmark_button.on_click(add_bookmark)
        add_annotation_button.on_click(add_annotation)
        
        return widgets.VBox([
            collab_info,
            widgets.HTML("<h5>Bookmarks</h5>"),
            bookmark_name_text,
            bookmark_cell_text,
            bookmark_desc_text,
            add_bookmark_button,
            widgets.HTML("<h5>Annotations</h5>"),
            annotation_cell_text,
            annotation_text,
            annotation_type_dropdown,
            add_annotation_button,
            collab_output
        ])
    
    def _create_advanced_visualization_tab(self) -> widgets.VBox:
        """Create advanced visualization tab"""
        viz_info = widgets.HTML("<h4>Advanced Visualizations</h4>")
        
        # Visualization type selection
        viz_type_dropdown = widgets.Dropdown(
            options=[
                ('Interactive Timeline', 'timeline'),
                ('3D Performance Plot', '3d_performance'),
                ('Network Diagram', 'network'),
                ('Heatmap Analysis', 'heatmap')
            ],
            description='Type:'
        )
        
        # Generate visualization button
        generate_viz_button = widgets.Button(
            description='Generate Visualization',
            button_style='success'
        )
        
        # Visualization output
        viz_output = widgets.Output()
        
        def generate_visualization(*args):
            with viz_output:
                viz_output.clear_output()
                viz_type = viz_type_dropdown.value
                
                try:
                    if viz_type == 'timeline':
                        self._create_interactive_timeline(viz_output)
                    elif viz_type == '3d_performance':
                        self._create_3d_performance_plot(viz_output)
                    elif viz_type == 'network':
                        self._create_network_diagram(viz_output)
                    elif viz_type == 'heatmap':
                        self._create_heatmap_analysis(viz_output)
                    else:
                        print(f"Visualization type '{viz_type}' not implemented")
                        
                except Exception as e:
                    print(f"❌ Error generating visualization: {e}")
        
        generate_viz_button.on_click(generate_visualization)
        
        return widgets.VBox([
            viz_info,
            widgets.HBox([viz_type_dropdown, generate_viz_button]),
            viz_output
        ])
    
    def _create_interactive_timeline(self, output_widget):
        """Create an interactive timeline visualization"""
        print("📊 Interactive Timeline visualization would be displayed here")
        print("This would show pipeline execution timeline with interactive features")
    
    def _create_3d_performance_plot(self, output_widget):
        """Create a 3D performance plot"""
        print("📊 3D Performance Plot visualization would be displayed here")
        print("This would show performance metrics in 3D space")
    
    def _create_network_diagram(self, output_widget):
        """Create a network diagram"""
        print("📊 Network Diagram visualization would be displayed here")
        print("This would show pipeline dependencies as a network graph")
    
    def _create_heatmap_analysis(self, output_widget):
        """Create a heatmap analysis"""
        print("📊 Heatmap Analysis visualization would be displayed here")
        print("This would show performance patterns as a heatmap")
    
    def enable_auto_save(self, interval_seconds: int = 300):
        """Enable automatic saving of notebook state"""
        self.auto_save_enabled = True
        self.auto_save_interval = interval_seconds
        print(f"Auto-save enabled with {interval_seconds}s interval")
    
    def disable_auto_save(self):
        """Disable automatic saving"""
        self.auto_save_enabled = False
        print("Auto-save disabled")
    
    def export_session_data(self, session_id: str, output_path: Path):
        """Export session data to file"""
        if session_id in self.collaboration_manager.active_sessions:
            session = self.collaboration_manager.active_sessions[session_id]
            
            export_data = {
                'session_info': session.model_dump(),
                'bookmarks': session.bookmarks,
                'annotations': session.annotations,
                'exported_at': datetime.now().isoformat()
            }
            
            output_path = Path(output_path)
            output_path.parent.mkdir(parents=True, exist_ok=True)
            
            with open(output_path, 'w', encoding='utf-8') as f:
                json.dump(export_data, f, indent=2, default=str)
            
            print(f"Session data exported to: {output_path}")
        else:
            print(f"Session '{session_id}' not found")


class PerformanceMonitor:
    """Monitors notebook and pipeline performance"""
    
    def __init__(self):
        self.metrics: Dict[str, Any] = {}
        self.alerts: List[Dict[str, Any]] = []
    
    def get_current_metrics(self) -> Dict[str, Any]:
        """Get current performance metrics"""
        # Mock metrics for demonstration
        return {
            'CPU Usage': '45%',
            'Memory Usage': '2.3 GB',
            'Disk I/O': '15 MB/s',
            'Network I/O': '5 MB/s',
            'Active Processes': 12,
            'Uptime': '2h 15m'
        }
    
    def add_alert(self, alert_type: str, message: str, severity: str = 'info'):
        """Add a performance alert"""
        alert = {
            'type': alert_type,
            'message': message,
            'severity': severity,
            'timestamp': datetime.now().isoformat()
        }
        self.alerts.append(alert)


class AdvancedWidgetFactory:
    """Factory for creating advanced interactive widgets"""
    
    def create_progress_tracker(self, total_steps: int) -> Optional[widgets.VBox]:
        """Create an advanced progress tracking widget"""
        if not JUPYTER_AVAILABLE:
            return None
        
        progress_bar = widgets.IntProgress(
            value=0,
            min=0,
            max=total_steps,
            description='Progress:',
            bar_style='info'
        )
        
        status_label = widgets.Label(value="Ready to start")
        
        step_info = widgets.HTML("<div>Step information will appear here</div>")
        
        return widgets.VBox([progress_bar, status_label, step_info])
    
    def create_interactive_filter(self, data_columns: List[str]) -> Optional[widgets.VBox]:
        """Create an interactive data filter widget"""
        if not JUPYTER_AVAILABLE:
            return None
        
        column_selector = widgets.SelectMultiple(
            options=data_columns,
            description='Columns:',
            disabled=False
        )
        
        filter_text = widgets.Text(
            placeholder='Enter filter expression',
            description='Filter:'
        )
        
        apply_button = widgets.Button(
            description='Apply Filter',
            button_style='primary'
        )
        
        return widgets.VBox([column_selector, filter_text, apply_button])
