//! Documentation enhancement and polish for 0.1.0 stable release
//!
//! This module provides comprehensive documentation analysis and enhancement
//! to ensure the library is ready for stable release with high-quality documentation.
//!
//! ## Key Features
//!
//! - **Documentation coverage analysis**: Identify missing documentation
//! - **User guide generation**: Create comprehensive guides for different use cases
//! - **Example validation**: Ensure all examples work and are educational
//! - **API documentation quality**: Check for clarity and completeness
//! - **Tutorial creation**: Step-by-step learning materials
//! - **Best practices documentation**: Usage recommendations and patterns

use crate::error::InterpolateResult;
use std::fmt;

/// Documentation enhancement analyzer for stable release
pub struct DocumentationEnhancer {
    /// Configuration for documentation analysis
    config: DocumentationConfig,
    /// Analysis results
    analysis_results: Vec<DocumentationAnalysisResult>,
    /// Generated user guides
    user_guides: Vec<UserGuide>,
    /// Example validations
    example_validations: Vec<ExampleValidation>,
    /// Tutorial materials
    tutorials: Vec<Tutorial>,
}

/// Configuration for documentation enhancement
#[derive(Debug, Clone)]
pub struct DocumentationConfig {
    /// Minimum documentation coverage required
    pub min_coverage_percentage: f32,
    /// Required documentation quality score
    pub min_quality_score: f32,
    /// Generate comprehensive user guides
    pub generate_user_guides: bool,
    /// Validate all examples
    pub validate_examples: bool,
    /// Create tutorial materials
    pub create_tutorials: bool,
    /// Target audience levels
    pub target_audiences: Vec<AudienceLevel>,
}

impl Default for DocumentationConfig {
    fn default() -> Self {
        Self {
            min_coverage_percentage: 95.0,
            min_quality_score: 0.8,
            generate_user_guides: true,
            validate_examples: true,
            create_tutorials: true,
            target_audiences: vec![
                AudienceLevel::Beginner,
                AudienceLevel::Intermediate,
                AudienceLevel::Advanced,
            ],
        }
    }
}

/// Target audience levels for documentation
#[derive(Debug, Clone)]
pub enum AudienceLevel {
    /// New to interpolation and scientific computing
    Beginner,
    /// Familiar with basic concepts
    Intermediate,
    /// Expert users and library developers
    Advanced,
    /// Domain-specific experts (e.g., scientists, engineers)
    DomainExpert,
}

/// Result of documentation analysis for a specific item
#[derive(Debug, Clone)]
pub struct DocumentationAnalysisResult {
    /// Item name (function, type, module, etc.)
    pub item_name: String,
    /// Item type
    pub item_type: DocumentationItemType,
    /// Documentation coverage score
    pub coverage_score: f32,
    /// Documentation quality assessment
    pub quality_assessment: QualityAssessment,
    /// Issues found
    pub issues: Vec<DocumentationIssue>,
    /// Recommendations for improvement
    pub recommendations: Vec<String>,
    /// Examples present and working
    pub examples_status: ExamplesStatus,
}

/// Types of documented items
#[derive(Debug, Clone)]
pub enum DocumentationItemType {
    Function,
    Method,
    Struct,
    Enum,
    Trait,
    Module,
    Macro,
    Constant,
}

/// Quality assessment for documentation
#[derive(Debug, Clone)]
pub struct QualityAssessment {
    /// Overall quality score (0.0 to 1.0)
    pub overall_score: f32,
    /// Clarity score
    pub clarity_score: f32,
    /// Completeness score
    pub completeness_score: f32,
    /// Accuracy score
    pub accuracy_score: f32,
    /// Usefulness score
    pub usefulness_score: f32,
    /// Missing elements
    pub missing_elements: Vec<String>,
}

/// Issues found in documentation
#[derive(Debug, Clone)]
pub struct DocumentationIssue {
    /// Issue severity
    pub severity: IssueSeverity,
    /// Issue category
    pub category: DocumentationIssueCategory,
    /// Description of the issue
    pub description: String,
    /// Location of the issue
    pub location: String,
    /// Suggested fix
    pub suggested_fix: Option<String>,
    /// Impact on user experience
    pub user_impact: UserImpact,
}

/// Severity levels for documentation issues
#[derive(Debug, Clone, PartialEq, PartialOrd)]
pub enum IssueSeverity {
    Critical,
    High,
    Medium,
    Low,
    Info,
}

/// Categories of documentation issues
#[derive(Debug, Clone)]
pub enum DocumentationIssueCategory {
    /// Missing documentation
    MissingDocumentation,
    /// Poor quality documentation
    PoorQuality,
    /// Outdated information
    Outdated,
    /// Missing examples
    MissingExamples,
    /// Broken examples
    BrokenExamples,
    /// Unclear explanations
    UnclearExplanation,
    /// Missing error documentation
    MissingErrorDocs,
    /// Performance information missing
    MissingPerformanceInfo,
    /// No usage guidance
    MissingUsageGuidance,
}

/// Impact on user experience
#[derive(Debug, Clone)]
pub enum UserImpact {
    /// Blocks users from using the feature
    Blocking,
    /// Significantly hampers adoption
    HighFriction,
    /// Causes confusion but usable
    Confusion,
    /// Minor inconvenience
    MinorInconvenience,
    /// No significant impact
    Minimal,
}

/// Status of examples for an item
#[derive(Debug, Clone)]
pub struct ExamplesStatus {
    /// Has examples
    pub has_examples: bool,
    /// Number of examples
    pub example_count: usize,
    /// Examples are working
    pub examples_working: bool,
    /// Examples are educational
    pub examples_educational: bool,
    /// Example quality score
    pub quality_score: f32,
}

/// User guide for specific topics
#[derive(Debug, Clone)]
pub struct UserGuide {
    /// Guide title
    pub title: String,
    /// Target audience
    pub audience: AudienceLevel,
    /// Guide content sections
    pub sections: Vec<GuideSection>,
    /// Prerequisites
    pub prerequisites: Vec<String>,
    /// Learning objectives
    pub learning_objectives: Vec<String>,
    /// Estimated reading time (minutes)
    pub reading_time: u32,
}

/// Section of a user guide
#[derive(Debug, Clone)]
pub struct GuideSection {
    /// Section title
    pub title: String,
    /// Section content
    pub content: String,
    /// Code examples
    pub code_examples: Vec<CodeExample>,
    /// Key takeaways
    pub takeaways: Vec<String>,
}

/// Code example in documentation
#[derive(Debug, Clone)]
pub struct CodeExample {
    /// Example title/description
    pub title: String,
    /// Example code
    pub code: String,
    /// Expected output (if any)
    pub expected_output: Option<String>,
    /// Explanation of the example
    pub explanation: String,
    /// Difficulty level
    pub difficulty: ExampleDifficulty,
}

/// Difficulty levels for examples
#[derive(Debug, Clone)]
pub enum ExampleDifficulty {
    Basic,
    Intermediate,
    Advanced,
    Expert,
}

/// Tutorial material
#[derive(Debug, Clone)]
pub struct Tutorial {
    /// Tutorial title
    pub title: String,
    /// Target audience
    pub audience: AudienceLevel,
    /// Tutorial steps
    pub steps: Vec<TutorialStep>,
    /// Prerequisites
    pub prerequisites: Vec<String>,
    /// Learning outcomes
    pub learning_outcomes: Vec<String>,
    /// Estimated completion time (minutes)
    pub completion_time: u32,
}

/// Step in a tutorial
#[derive(Debug, Clone)]
pub struct TutorialStep {
    /// Step number
    pub step_number: usize,
    /// Step title
    pub title: String,
    /// Step instructions
    pub instructions: String,
    /// Code for this step
    pub code: Option<String>,
    /// Expected result
    pub expected_result: Option<String>,
    /// Common pitfalls
    pub common_pitfalls: Vec<String>,
}

/// Example validation result
#[derive(Debug, Clone)]
pub struct ExampleValidation {
    /// Example identifier
    pub example_id: String,
    /// Validation status
    pub status: ValidationStatus,
    /// Compilation result
    pub compiles: bool,
    /// Execution result
    pub executes: bool,
    /// Educational value assessment
    pub educational_value: EducationalValue,
    /// Issues found
    pub issues: Vec<String>,
    /// Suggestions for improvement
    pub suggestions: Vec<String>,
}

/// Validation status for examples
#[derive(Debug, Clone, PartialEq)]
pub enum ValidationStatus {
    Valid,
    ValidWithWarnings,
    Invalid,
    NotTested,
}

/// Educational value assessment
#[derive(Debug, Clone)]
pub struct EducationalValue {
    /// Demonstrates core concepts
    pub demonstrates_concepts: bool,
    /// Shows best practices
    pub shows_best_practices: bool,
    /// Realistic use case
    pub realistic_use_case: bool,
    /// Progressive complexity
    pub progressive_complexity: bool,
    /// Clear explanation
    pub clear_explanation: bool,
}

impl DocumentationEnhancer {
    /// Create a new documentation enhancer
    pub fn new(config: DocumentationConfig) -> Self {
        Self {
            config,
            analysis_results: Vec::new(),
            user_guides: Vec::new(),
            example_validations: Vec::new(),
            tutorials: Vec::new(),
        }
    }

    /// Run comprehensive documentation enhancement
    pub fn enhance_documentation(&mut self) -> InterpolateResult<DocumentationReport> {
        println!("Starting comprehensive documentation enhancement...");

        // 1. Analyze current documentation
        self.analyze_current_documentation()?;

        // 2. Validate examples
        if self.config.validate_examples {
            self.validate_examples()?;
        }

        // 3. Generate user guides
        if self.config.generate_user_guides {
            self.generate_user_guides()?;
        }

        // 4. Create tutorials
        if self.config.create_tutorials {
            self.create_tutorials()?;
        }

        // 5. Generate enhancement report
        let report = self.generate_documentation_report();

        println!("Documentation enhancement completed.");
        Ok(report)
    }

    /// Analyze current documentation state
    fn analyze_current_documentation(&mut self) -> InterpolateResult<()> {
        println!("Analyzing current documentation...");

        // This would normally analyze actual documentation using AST or docs
        // For demonstration, we'll analyze key API items

        let api_items = vec![
            ("linear_interpolate", DocumentationItemType::Function),
            ("cubic_interpolate", DocumentationItemType::Function),
            ("pchip_interpolate", DocumentationItemType::Function),
            ("RBFInterpolator", DocumentationItemType::Struct),
            ("KrigingInterpolator", DocumentationItemType::Struct),
            ("BSpline", DocumentationItemType::Struct),
            ("InterpolateError", DocumentationItemType::Enum),
            ("InterpolationFloat", DocumentationItemType::Trait),
            ("interp1d", DocumentationItemType::Module),
            ("advanced", DocumentationItemType::Module),
        ];

        for (item_name, item_type) in api_items {
            let analysis = self.analyze_item_documentation(item_name, item_type)?;
            self.analysis_results.push(analysis);
        }

        Ok(())
    }

    /// Analyze documentation for a specific item
    fn analyze_item_documentation(
        &self,
        item_name: &str,
        item_type: DocumentationItemType,
    ) -> InterpolateResult<DocumentationAnalysisResult> {
        let mut issues = Vec::new();
        let mut recommendations = Vec::new();

        // Simulate documentation analysis
        let has_basic_docs = true; // Most items have basic docs
        let has_examples = matches!(
            item_name,
            "linear_interpolate" | "cubic_interpolate" | "RBFInterpolator"
        );
        let has_error_docs = matches!(item_name, "InterpolateError");
        let has_performance_info = false; // Most lack performance info

        // Check for missing examples
        if !has_examples
            && matches!(
                item_type,
                DocumentationItemType::Function | DocumentationItemType::Struct
            )
        {
            issues.push(DocumentationIssue {
                severity: IssueSeverity::High,
                category: DocumentationIssueCategory::MissingExamples,
                description: "No usage examples provided".to_string(),
                location: item_name.to_string(),
                suggested_fix: Some("Add practical usage examples".to_string()),
                user_impact: UserImpact::HighFriction,
            });
            recommendations.push("Add comprehensive usage examples".to_string());
        }

        // Check for missing performance information
        if !has_performance_info
            && matches!(
                item_type,
                DocumentationItemType::Function | DocumentationItemType::Struct
            )
        {
            issues.push(DocumentationIssue {
                severity: IssueSeverity::Medium,
                category: DocumentationIssueCategory::MissingPerformanceInfo,
                description: "No performance characteristics documented".to_string(),
                location: item_name.to_string(),
                suggested_fix: Some("Add time and space complexity information".to_string()),
                user_impact: UserImpact::Confusion,
            });
            recommendations.push("Document performance characteristics".to_string());
        }

        // Check for missing error documentation
        if !has_error_docs && item_name != "InterpolateError" {
            issues.push(DocumentationIssue {
                severity: IssueSeverity::Medium,
                category: DocumentationIssueCategory::MissingErrorDocs,
                description: "Error conditions not documented".to_string(),
                location: item_name.to_string(),
                suggested_fix: Some(
                    "Document possible error conditions and their causes".to_string(),
                ),
                user_impact: UserImpact::Confusion,
            });
            recommendations.push("Document error conditions and handling".to_string());
        }

        // Calculate quality scores
        let completeness_score = if has_examples && has_performance_info && has_error_docs {
            1.0
        } else if has_examples {
            0.7
        } else if has_basic_docs {
            0.5
        } else {
            0.0
        };

        let clarity_score = 0.8; // Most docs are reasonably clear
        let accuracy_score = 0.9; // Most docs are accurate
        let usefulness_score = if has_examples { 0.8 } else { 0.5 };

        let overall_score =
            (completeness_score + clarity_score + accuracy_score + usefulness_score) / 4.0;

        let quality_assessment = QualityAssessment {
            overall_score,
            clarity_score,
            completeness_score,
            accuracy_score,
            usefulness_score,
            missing_elements: if !has_examples {
                vec!["Usage examples".to_string()]
            } else {
                Vec::new()
            },
        };

        let coverage_score = if has_basic_docs { 0.8 } else { 0.0 };

        let examples_status = ExamplesStatus {
            has_examples,
            example_count: if has_examples { 2 } else { 0 },
            examples_working: has_examples,
            examples_educational: has_examples,
            quality_score: if has_examples { 0.8 } else { 0.0 },
        };

        Ok(DocumentationAnalysisResult {
            item_name: item_name.to_string(),
            item_type,
            coverage_score,
            quality_assessment,
            issues,
            recommendations,
            examples_status,
        })
    }

    /// Validate all examples in the documentation
    fn validate_examples(&mut self) -> InterpolateResult<()> {
        println!("Validating examples...");

        // Simulate example validation for key examples
        let examples = vec![
            "basic_linear_interpolation",
            "advanced_rbf_example",
            "spline_with_boundary_conditions",
            "kriging_uncertainty_quantification",
            "gpu_accelerated_interpolation",
        ];

        for example_id in examples {
            let validation = self.validate_example(example_id)?;
            self.example_validations.push(validation);
        }

        Ok(())
    }

    /// Validate a specific example
    fn validate_example(&self, example_id: &str) -> InterpolateResult<ExampleValidation> {
        // Simulate example validation
        let (compiles, executes, issues, suggestions) = match example_id {
            "basic_linear_interpolation" => (
                true,
                true,
                vec![],
                vec!["Add error handling example".to_string()],
            ),
            "advanced_rbf_example" => (
                true,
                true,
                vec![],
                vec!["Show parameter selection guidance".to_string()],
            ),
            "spline_with_boundary_conditions" => (
                true,
                false,
                vec!["Example may fail with certain inputs".to_string()],
                vec!["Add input validation".to_string()],
            ),
            "kriging_uncertainty_quantification" => (
                false,
                false,
                vec!["Compilation error due to missing imports".to_string()],
                vec!["Fix imports and dependencies".to_string()],
            ),
            "gpu_accelerated_interpolation" => (
                true,
                true,
                vec!["Requires GPU to run".to_string()],
                vec!["Add fallback for systems without GPU".to_string()],
            ),
            _ => (true, true, vec![], vec![]),
        };

        let status = if !compiles {
            ValidationStatus::Invalid
        } else if !issues.is_empty() {
            ValidationStatus::ValidWithWarnings
        } else {
            ValidationStatus::Valid
        };

        let educational_value = EducationalValue {
            demonstrates_concepts: true,
            shows_best_practices: compiles && executes,
            realistic_use_case: example_id != "gpu_accelerated_interpolation", // GPU example less universally applicable
            progressive_complexity: example_id.contains("basic"),
            clear_explanation: true,
        };

        Ok(ExampleValidation {
            example_id: example_id.to_string(),
            status,
            compiles,
            executes,
            educational_value,
            issues,
            suggestions,
        })
    }

    /// Generate comprehensive user guides
    fn generate_user_guides(&mut self) -> InterpolateResult<()> {
        println!("Generating user guides...");

        for audience in &self.config.target_audiences {
            let guide = self.create_user_guide_for_audience(audience.clone())?;
            self.user_guides.push(guide);
        }

        // Create topic-specific guides
        let topic_guides = vec![
            self.create_method_selection_guide()?,
            self.create_performance_optimization_guide()?,
            self.create_error_handling_guide()?,
            self.create_migration_guide()?,
        ];

        self.user_guides.extend(topic_guides);

        Ok(())
    }

    /// Create a user guide for a specific audience
    fn create_user_guide_for_audience(
        &self,
        audience: AudienceLevel,
    ) -> InterpolateResult<UserGuide> {
        let (title, sections, prerequisites, objectives, reading_time) = match audience {
            AudienceLevel::Beginner => {
                (
                    "Getting Started with SciRS2 Interpolation".to_string(),
                    vec![
                        self.create_guide_section(
                            "What is Interpolation?",
                            "Interpolation is the process of estimating values between known data points...",
                            vec![self.create_basic_example()],
                        ),
                        self.create_guide_section(
                            "Your First Interpolation",
                            "Let's start with the simplest interpolation method - linear interpolation...",
                            vec![self.create_linear_interp_example()],
                        ),
                        self.create_guide_section(
                            "Common Use Cases",
                            "Interpolation is useful in many scenarios: data visualization, signal processing...",
                            vec![],
                        ),
                    ],
                    vec!["Basic Rust knowledge".to_string(), "Familiarity with arrays".to_string()],
                    vec![
                        "Understand what interpolation is and when to use it".to_string(),
                        "Perform basic linear interpolation".to_string(),
                        "Handle common errors gracefully".to_string(),
                    ],
                    15,
                )
            }
            AudienceLevel::Intermediate => {
                (
                    "Intermediate Interpolation Techniques".to_string(),
                    vec![
                        self.create_guide_section(
                            "Method Selection",
                            "Choosing the right interpolation method depends on your data characteristics...",
                            vec![self.create_method_comparison_example()],
                        ),
                        self.create_guide_section(
                            "Spline Interpolation",
                            "Splines provide smooth curves through your data points...",
                            vec![self.create_spline_example()],
                        ),
                        self.create_guide_section(
                            "Error Handling and Validation",
                            "Production code needs robust error handling...",
                            vec![self.create_error_handling_example()],
                        ),
                    ],
                    vec!["Completed beginner guide".to_string(), "Basic statistics knowledge".to_string()],
                    vec![
                        "Select appropriate interpolation methods".to_string(),
                        "Use advanced spline techniques".to_string(),
                        "Implement robust error handling".to_string(),
                    ],
                    25,
                )
            }
            AudienceLevel::Advanced => {
                (
                    "Advanced Interpolation and Optimization".to_string(),
                    vec![
                        self.create_guide_section(
                            "RBF and Kriging Methods",
                            "Radial basis functions and kriging provide powerful scattered data interpolation...",
                            vec![self.create_rbf_example()],
                        ),
                        self.create_guide_section(
                            "Performance Optimization",
                            "For large datasets, performance becomes critical...",
                            vec![self.create_performance_example()],
                        ),
                        self.create_guide_section(
                            "Custom Interpolation Methods",
                            "Sometimes you need to implement custom interpolation logic...",
                            vec![],
                        ),
                    ],
                    vec!["Intermediate interpolation knowledge".to_string(), "Linear algebra basics".to_string()],
                    vec![
                        "Implement advanced interpolation methods".to_string(),
                        "Optimize performance for large datasets".to_string(),
                        "Create custom interpolation solutions".to_string(),
                    ],
                    40,
                )
            }
            AudienceLevel::DomainExpert => {
                (
                    "Domain-Specific Interpolation Applications".to_string(),
                    vec![
                        self.create_guide_section(
                            "Scientific Computing Applications",
                            "Interpolation in physics, chemistry, and engineering simulations...",
                            vec![],
                        ),
                        self.create_guide_section(
                            "Financial Data Analysis",
                            "Interpolation for yield curves, risk modeling, and time series...",
                            vec![],
                        ),
                        self.create_guide_section(
                            "Image and Signal Processing",
                            "Interpolation for resampling, filtering, and reconstruction...",
                            vec![],
                        ),
                    ],
                    vec!["Domain expertise".to_string(), "Advanced interpolation knowledge".to_string()],
                    vec![
                        "Apply interpolation to domain-specific problems".to_string(),
                        "Understand trade-offs in different applications".to_string(),
                        "Integrate with domain-specific workflows".to_string(),
                    ],
                    60,
                )
            }
        };

        Ok(UserGuide {
            title,
            audience,
            sections,
            prerequisites,
            learning_objectives: objectives,
            reading_time,
        })
    }

    /// Create specialized guides
    fn create_method_selection_guide(&self) -> InterpolateResult<UserGuide> {
        Ok(UserGuide {
            title: "Choosing the Right Interpolation Method".to_string(),
            audience: AudienceLevel::Intermediate,
            sections: vec![
                self.create_guide_section(
                    "Data Characteristics",
                    "The choice of interpolation method depends heavily on your data...",
                    vec![],
                ),
                self.create_guide_section(
                    "Method Comparison Matrix",
                    "Here's a comprehensive comparison of available methods...",
                    vec![self.create_comparison_table_example()],
                ),
                self.create_guide_section(
                    "Performance Considerations",
                    "Different methods have different computational costs...",
                    vec![],
                ),
            ],
            prerequisites: vec!["Basic interpolation knowledge".to_string()],
            learning_objectives: vec![
                "Understand method selection criteria".to_string(),
                "Match methods to data characteristics".to_string(),
                "Consider performance trade-offs".to_string(),
            ],
            reading_time: 20,
        })
    }

    fn create_performance_optimization_guide(&self) -> InterpolateResult<UserGuide> {
        Ok(UserGuide {
            title: "Performance Optimization Guide".to_string(),
            audience: AudienceLevel::Advanced,
            sections: vec![
                self.create_guide_section(
                    "Profiling and Benchmarking",
                    "Before optimizing, measure performance accurately...",
                    vec![self.create_benchmarking_example()],
                ),
                self.create_guide_section(
                    "SIMD Acceleration",
                    "Take advantage of vectorized operations...",
                    vec![],
                ),
                self.create_guide_section(
                    "Memory Optimization",
                    "Efficient memory usage for large datasets...",
                    vec![],
                ),
            ],
            prerequisites: vec![
                "Advanced Rust knowledge".to_string(),
                "Basic performance concepts".to_string(),
            ],
            learning_objectives: vec![
                "Profile interpolation performance".to_string(),
                "Enable SIMD optimizations".to_string(),
                "Optimize memory usage".to_string(),
            ],
            reading_time: 30,
        })
    }

    fn create_error_handling_guide(&self) -> InterpolateResult<UserGuide> {
        Ok(UserGuide {
            title: "Error Handling and Robustness".to_string(),
            audience: AudienceLevel::Intermediate,
            sections: vec![
                self.create_guide_section(
                    "Common Error Scenarios",
                    "Understanding what can go wrong and why...",
                    vec![],
                ),
                self.create_guide_section(
                    "Graceful Error Handling",
                    "Implementing robust error handling patterns...",
                    vec![self.create_robust_error_example()],
                ),
                self.create_guide_section(
                    "Input Validation",
                    "Validating data before interpolation...",
                    vec![],
                ),
            ],
            prerequisites: vec!["Basic interpolation experience".to_string()],
            learning_objectives: vec![
                "Understand common error scenarios".to_string(),
                "Implement robust error handling".to_string(),
                "Validate inputs effectively".to_string(),
            ],
            reading_time: 25,
        })
    }

    fn create_migration_guide(&self) -> InterpolateResult<UserGuide> {
        Ok(UserGuide {
            title: "Migrating from SciPy to SciRS2".to_string(),
            audience: AudienceLevel::Intermediate,
            sections: vec![
                self.create_guide_section(
                    "API Mapping",
                    "How SciPy functions map to SciRS2 equivalents...",
                    vec![self.create_migration_example()],
                ),
                self.create_guide_section(
                    "Differences and Considerations",
                    "Key differences to be aware of...",
                    vec![],
                ),
                self.create_guide_section(
                    "Performance Comparisons",
                    "Performance characteristics compared to SciPy...",
                    vec![],
                ),
            ],
            prerequisites: vec![
                "SciPy experience".to_string(),
                "Basic Rust knowledge".to_string(),
            ],
            learning_objectives: vec![
                "Map SciPy APIs to SciRS2".to_string(),
                "Understand key differences".to_string(),
                "Migrate existing code effectively".to_string(),
            ],
            reading_time: 35,
        })
    }

    /// Create tutorials
    fn create_tutorials(&mut self) -> InterpolateResult<()> {
        println!("Creating tutorials...");

        let tutorials = vec![
            self.create_quick_start_tutorial()?,
            self.create_data_science_tutorial()?,
            self.create_scientific_computing_tutorial()?,
            self.create_performance_optimization_tutorial()?,
        ];

        self.tutorials.extend(tutorials);

        Ok(())
    }

    fn create_quick_start_tutorial(&self) -> InterpolateResult<Tutorial> {
        Ok(Tutorial {
            title: "Quick Start: Your First Interpolation".to_string(),
            audience: AudienceLevel::Beginner,
            steps: vec![
                TutorialStep {
                    step_number: 1,
                    title: "Setup Your Project".to_string(),
                    instructions: "Add scirs2-interpolate to your Cargo.toml dependencies"
                        .to_string(),
                    code: Some(
                        r#"[dependencies]
scirs2-interpolate = "0.1.0""#
                            .to_string(),
                    ),
                    expected_result: Some("Dependency added successfully".to_string()),
                    common_pitfalls: vec!["Make sure to use the correct version".to_string()],
                },
                TutorialStep {
                    step_number: 2,
                    title: "Create Sample Data".to_string(),
                    instructions: "Create some sample data points to interpolate".to_string(),
                    code: Some(
                        r#"use scirs2_core::ndarray::Array1;
use scirs2_interpolate::*;

let x = Array1::from_vec(vec![0.0, 1.0, 2.0, 3.0, 4.0]);
let y = Array1::from_vec(vec![0.0, 1.0, 4.0, 9.0, 16.0]);"#
                            .to_string(),
                    ),
                    expected_result: Some("Data arrays created".to_string()),
                    common_pitfalls: vec!["Ensure x and y have the same length".to_string()],
                },
                TutorialStep {
                    step_number: 3,
                    title: "Perform Linear Interpolation".to_string(),
                    instructions: "Use linear interpolation to estimate values between data points"
                        .to_string(),
                    code: Some(
                        r#"let x_new = Array1::from_vec(vec![0.5, 1.5, 2.5]);
let y_new = linear_interpolate(&x.view(), &y.view(), &x_new.view())?;
println!("Interpolated values: {:?}", y_new);"#
                            .to_string(),
                    ),
                    expected_result: Some("Interpolated values printed".to_string()),
                    common_pitfalls: vec!["Query points must be within the data range".to_string()],
                },
            ],
            prerequisites: vec![
                "Rust installed".to_string(),
                "Basic Rust syntax".to_string(),
            ],
            learning_outcomes: vec![
                "Set up scirs2-interpolate in a project".to_string(),
                "Perform basic linear interpolation".to_string(),
                "Handle interpolation results".to_string(),
            ],
            completion_time: 10,
        })
    }

    fn create_data_science_tutorial(&self) -> InterpolateResult<Tutorial> {
        Ok(Tutorial {
            title: "Data Science: Filling Missing Values".to_string(),
            audience: AudienceLevel::Intermediate,
            steps: vec![
                TutorialStep {
                    step_number: 1,
                    title: "Load Dataset with Missing Values".to_string(),
                    instructions: "Simulate a time series dataset with missing values".to_string(),
                    code: Some("// Code to load and inspect data with gaps".to_string()),
                    expected_result: Some("Dataset loaded with identified gaps".to_string()),
                    common_pitfalls: vec!["Check for data quality issues".to_string()],
                },
                TutorialStep {
                    step_number: 2,
                    title: "Choose Interpolation Strategy".to_string(),
                    instructions:
                        "Select appropriate interpolation method based on data characteristics"
                            .to_string(),
                    code: Some("// Code to analyze data and select method".to_string()),
                    expected_result: Some("Interpolation method selected".to_string()),
                    common_pitfalls: vec![
                        "Don't assume linear interpolation is always best".to_string()
                    ],
                },
                TutorialStep {
                    step_number: 3,
                    title: "Fill Missing Values".to_string(),
                    instructions: "Apply interpolation to fill the missing values".to_string(),
                    code: Some("// Code to perform interpolation".to_string()),
                    expected_result: Some("Missing values filled".to_string()),
                    common_pitfalls: vec!["Validate results for reasonableness".to_string()],
                },
            ],
            prerequisites: vec!["Basic data science concepts".to_string()],
            learning_outcomes: vec![
                "Apply interpolation to real data problems".to_string(),
                "Handle missing data appropriately".to_string(),
                "Validate interpolation results".to_string(),
            ],
            completion_time: 30,
        })
    }

    fn create_scientific_computing_tutorial(&self) -> InterpolateResult<Tutorial> {
        Ok(Tutorial {
            title: "Scientific Computing: Function Approximation".to_string(),
            audience: AudienceLevel::Advanced,
            steps: vec![
                TutorialStep {
                    step_number: 1,
                    title: "Define Mathematical Function".to_string(),
                    instructions: "Create a complex mathematical function to approximate"
                        .to_string(),
                    code: Some("// Code to define and sample function".to_string()),
                    expected_result: Some("Function sampled at discrete points".to_string()),
                    common_pitfalls: vec!["Ensure adequate sampling density".to_string()],
                },
                TutorialStep {
                    step_number: 2,
                    title: "Compare Interpolation Methods".to_string(),
                    instructions: "Test different interpolation methods and compare accuracy"
                        .to_string(),
                    code: Some("// Code to compare methods".to_string()),
                    expected_result: Some("Method comparison completed".to_string()),
                    common_pitfalls: vec!["Consider computational cost vs accuracy".to_string()],
                },
            ],
            prerequisites: vec![
                "Mathematical background".to_string(),
                "Advanced Rust".to_string(),
            ],
            learning_outcomes: vec![
                "Apply interpolation to scientific problems".to_string(),
                "Evaluate interpolation accuracy".to_string(),
                "Optimize for scientific computing workflows".to_string(),
            ],
            completion_time: 45,
        })
    }

    fn create_performance_optimization_tutorial(&self) -> InterpolateResult<Tutorial> {
        Ok(Tutorial {
            title: "Performance Optimization for Large Datasets".to_string(),
            audience: AudienceLevel::Advanced,
            steps: vec![
                TutorialStep {
                    step_number: 1,
                    title: "Benchmark Current Performance".to_string(),
                    instructions: "Establish performance baseline".to_string(),
                    code: Some("// Benchmarking code".to_string()),
                    expected_result: Some("Baseline performance measured".to_string()),
                    common_pitfalls: vec!["Ensure consistent benchmarking conditions".to_string()],
                },
                TutorialStep {
                    step_number: 2,
                    title: "Enable SIMD Optimizations".to_string(),
                    instructions: "Configure and enable SIMD acceleration".to_string(),
                    code: Some("// SIMD configuration code".to_string()),
                    expected_result: Some("SIMD acceleration enabled".to_string()),
                    common_pitfalls: vec!["Check SIMD support on target platforms".to_string()],
                },
            ],
            prerequisites: vec!["Performance optimization concepts".to_string()],
            learning_outcomes: vec![
                "Benchmark interpolation performance".to_string(),
                "Apply performance optimizations".to_string(),
                "Validate optimization effectiveness".to_string(),
            ],
            completion_time: 60,
        })
    }

    /// Helper methods for creating guide sections and examples
    fn create_guide_section(
        &self,
        title: &str,
        content: &str,
        code_examples: Vec<CodeExample>,
    ) -> GuideSection {
        GuideSection {
            title: title.to_string(),
            content: content.to_string(),
            code_examples,
            takeaways: vec!["Key concept demonstrated".to_string()],
        }
    }

    fn create_basic_example(&self) -> CodeExample {
        CodeExample {
            title: "Basic Linear Interpolation".to_string(),
            code: r#"use scirs2_interpolate::*;
use scirs2_core::ndarray::Array1;

let x = Array1::from_vec(vec![0.0, 1.0, 2.0]);
let y = Array1::from_vec(vec![0.0, 2.0, 4.0]);
let x_new = Array1::from_vec(vec![0.5, 1.5]);

let result = linear_interpolate(&x.view(), &y.view(), &x_new.view())?;
println!("Result: {:?}", result);"#
                .to_string(),
            expected_output: Some("Result: [1.0, 3.0]".to_string()),
            explanation:
                "This example demonstrates basic linear interpolation between three points"
                    .to_string(),
            difficulty: ExampleDifficulty::Basic,
        }
    }

    fn create_linear_interp_example(&self) -> CodeExample {
        CodeExample {
            title: "Linear Interpolation with Error Handling".to_string(),
            code: r#"match linear_interpolate(&x.view(), &y.view(), &x_new.view()) {
    Ok(result) => println!("Success: {:?}", result),
    Err(e) => eprintln!("Error: {}", e),
}"#
            .to_string(),
            expected_output: None,
            explanation: "Always handle potential errors in production code".to_string(),
            difficulty: ExampleDifficulty::Basic,
        }
    }

    fn create_method_comparison_example(&self) -> CodeExample {
        CodeExample {
            title: "Comparing Interpolation Methods".to_string(),
            code: r#"// Compare linear vs cubic interpolation
let linear_result = linear_interpolate(&x.view(), &y.view(), &x_new.view())?;
let cubic_result = cubic_interpolate(&x.view(), &y.view(), &x_new.view())?;

println!("Linear: {:?}", linear_result);
println!("Cubic: {:?}", cubic_result);"#
                .to_string(),
            expected_output: None,
            explanation:
                "Different methods can produce different results - choose based on your needs"
                    .to_string(),
            difficulty: ExampleDifficulty::Intermediate,
        }
    }

    fn create_spline_example(&self) -> CodeExample {
        CodeExample {
            title: "B-Spline Interpolation".to_string(),
            code: r#"let spline = make_interp_bspline(&x.view(), &y.view(), 3, "uniform")?;
let result = spline.evaluate_batch(&x_new.view())?;"#
                .to_string(),
            expected_output: None,
            explanation: "B-splines provide smooth interpolation with good numerical properties"
                .to_string(),
            difficulty: ExampleDifficulty::Intermediate,
        }
    }

    fn create_error_handling_example(&self) -> CodeExample {
        CodeExample {
            title: "Robust Error Handling".to_string(),
            code: r#"fn safe_interpolate(x: &Array1<f64>, y: &Array1<f64>, xnew: &Array1<f64>) -> Result<Array1<f64>, String> {
    if x.len() != y.len() {
        return Err("X and Y arrays must have the same length".to_string());
    }
    
    linear_interpolate(&x.view(), &y.view(), &x_new.view())
        .map_err(|e| format!("Interpolation failed: {}", e))
}"#.to_string(),
            expected_output: None,
            explanation: "Validate inputs and provide meaningful error messages".to_string(),
            difficulty: ExampleDifficulty::Intermediate,
        }
    }

    fn create_rbf_example(&self) -> CodeExample {
        CodeExample {
            title: "RBF Interpolation for Scattered Data".to_string(),
            code: r#"let points = Array2::from_shape_vec((4, 2), vec![0.0, 0.0, 1.0, 0.0, 0.0, 1.0, 1.0, 1.0])?;
let values = Array1::from_vec(vec![0.0, 1.0, 1.0, 2.0]);

let rbf = make_rbf_interpolator(&points.view(), &values.view(), RBFKernel::Gaussian, Some(1.0))?;
let query = Array2::from_shape_vec((1, 2), vec![0.5, 0.5])?;
let result = rbf.predict(&query.view())?;"#.to_string(),
            expected_output: None,
            explanation: "RBF interpolation works well for scattered data in multiple dimensions".to_string(),
            difficulty: ExampleDifficulty::Advanced,
        }
    }

    fn create_performance_example(&self) -> CodeExample {
        CodeExample {
            title: "Performance Optimization".to_string(),
            code: r#"// Enable SIMD if available
let config = SimdConfig::auto_detect();
if config.is_available() {
    // Use SIMD-optimized functions
    let result = simd_linear_interpolate(&x.view(), &y.view(), &x_new.view())?;
} else {
    // Fallback to regular implementation
    let result = linear_interpolate(&x.view(), &y.view(), &x_new.view())?;
}"#
            .to_string(),
            expected_output: None,
            explanation: "Take advantage of SIMD acceleration when available".to_string(),
            difficulty: ExampleDifficulty::Advanced,
        }
    }

    fn create_comparison_table_example(&self) -> CodeExample {
        CodeExample {
            title: "Method Selection Matrix".to_string(),
            code: r#"// Pseudo-code for method selection
#[allow(dead_code)]
fn select_method(_data_size: usize, smoothness_required: bool, hasderivatives: bool) -> InterpolationMethod {
    match (_data_size, smoothness_required, has_derivatives) {
        (n, false_) if n < 1000 => InterpolationMethod::Linear,
        (n, true, false) if n < 10000 => InterpolationMethod::Cubic,
        (n, true, true) if n < 10000 => InterpolationMethod::Hermite,
        (___) => InterpolationMethod::BSpline,
    }
}"#.to_string(),
            expected_output: None,
            explanation: "Method selection depends on data characteristics and requirements".to_string(),
            difficulty: ExampleDifficulty::Intermediate,
        }
    }

    fn create_benchmarking_example(&self) -> CodeExample {
        CodeExample {
            title: "Benchmarking Interpolation Performance".to_string(),
            code: r#"use std::time::Instant;

let start = Instant::now();
let result = linear_interpolate(&x.view(), &y.view(), &x_new.view())?;
let duration = start.elapsed();

println!("Interpolation took: {:?}", duration);
println!("Throughput: {} points/sec", x_new.len() as f64 / duration.as_secs_f64());"#
                .to_string(),
            expected_output: None,
            explanation: "Always measure performance to identify bottlenecks".to_string(),
            difficulty: ExampleDifficulty::Advanced,
        }
    }

    fn create_robust_error_example(&self) -> CodeExample {
        CodeExample {
            title: "Comprehensive Error Handling".to_string(),
            code: r#"fn robust_interpolate(x: &Array1<f64>, y: &Array1<f64>, xnew: &Array1<f64>) -> InterpolateResult<Array1<f64>> {
    // Validate inputs
    if x.is_empty() || y.is_empty() {
        return Err(InterpolateError::empty_data("interpolation"));
    }
    
    if x.len() != y.len() {
        return Err(InterpolateError::dimension_mismatch(x.len(), y.len(), "x and y arrays"));
    }
    
    // Check for sorted x values
    if !x.windows(2).all(|w| w[0] <= w[1]) {
        return Err(InterpolateError::invalid_input("X values must be sorted"));
    }
    
    // Perform interpolation with appropriate method
    linear_interpolate(&x.view(), &y.view(), &x_new.view())
}"#.to_string(),
            expected_output: None,
            explanation: "Comprehensive input validation prevents runtime errors".to_string(),
            difficulty: ExampleDifficulty::Advanced,
        }
    }

    fn create_migration_example(&self) -> CodeExample {
        CodeExample {
            title: "SciPy to SciRS2 Migration".to_string(),
            code: r#"// SciPy (Python):
// from scipy.interpolate import interp1d
// f = interp1d(x, y, kind='linear')
// result = f(x_new)

// SciRS2 (Rust):
use scirs2_interpolate::*;
let result = linear_interpolate(&x.view(), &y.view(), &x_new.view())?;

// Key differences:
// - Rust requires explicit error handling
// - Views are used for efficiency
// - Type safety prevents many runtime errors"#
                .to_string(),
            expected_output: None,
            explanation: "SciRS2 provides similar functionality with Rust's safety guarantees"
                .to_string(),
            difficulty: ExampleDifficulty::Intermediate,
        }
    }

    /// Generate comprehensive documentation report
    fn generate_documentation_report(&self) -> DocumentationReport {
        let total_items = self.analysis_results.len();
        let well_documented = self
            .analysis_results
            .iter()
            .filter(|r| r.quality_assessment.overall_score >= self.config.min_quality_score)
            .count();

        let coverage_percentage = if total_items > 0 {
            (well_documented as f32 / total_items as f32) * 100.0
        } else {
            0.0
        };

        let critical_issues: Vec<_> = self
            .analysis_results
            .iter()
            .flat_map(|r| &r.issues)
            .filter(|i| i.severity == IssueSeverity::Critical)
            .cloned()
            .collect();

        let readiness = if coverage_percentage >= self.config.min_coverage_percentage
            && critical_issues.is_empty()
        {
            DocumentationReadiness::Ready
        } else if coverage_percentage >= 80.0 {
            DocumentationReadiness::NeedsMinorWork
        } else {
            DocumentationReadiness::NeedsSignificantWork
        };

        let recommendations =
            self.generate_documentation_recommendations(&critical_issues, readiness.clone());

        DocumentationReport {
            readiness,
            coverage_percentage,
            total_items,
            well_documented_items: well_documented,
            poorly_documented_items: total_items - well_documented,
            critical_issues,
            analysis_results: self.analysis_results.clone(),
            user_guides: self.user_guides.clone(),
            tutorials: self.tutorials.clone(),
            example_validations: self.example_validations.clone(),
            recommendations,
            config: self.config.clone(),
        }
    }

    /// Generate documentation recommendations
    fn generate_documentation_recommendations(
        &self,
        critical_issues: &[DocumentationIssue],
        readiness: DocumentationReadiness,
    ) -> Vec<String> {
        let mut recommendations = Vec::new();

        match readiness {
            DocumentationReadiness::Ready => {
                recommendations.push("✅ Documentation is ready for stable release".to_string());
                recommendations.push("Consider adding more advanced examples".to_string());
            }
            DocumentationReadiness::NeedsMinorWork => {
                recommendations.push("⚠️  Minor documentation improvements needed".to_string());
                if !critical_issues.is_empty() {
                    recommendations.push(format!(
                        "Fix {} critical documentation _issues",
                        critical_issues.len()
                    ));
                }
            }
            DocumentationReadiness::NeedsSignificantWork => {
                recommendations.push(
                    "❌ Significant documentation work required before stable release".to_string(),
                );
                recommendations.push("Focus on adding examples and improving quality".to_string());
            }
        }

        // Specific recommendations based on analysis
        let missing_examples = self
            .analysis_results
            .iter()
            .filter(|r| !r.examples_status.has_examples)
            .count();

        if missing_examples > 0 {
            recommendations.push(format!("Add examples to {missing_examples} items"));
        }

        let missing_error_docs = self
            .analysis_results
            .iter()
            .flat_map(|r| &r.issues)
            .filter(|i| matches!(i.category, DocumentationIssueCategory::MissingErrorDocs))
            .count();

        if missing_error_docs > 0 {
            recommendations.push(format!(
                "Document error conditions for {missing_error_docs} items"
            ));
        }

        let broken_examples = self
            .example_validations
            .iter()
            .filter(|v| v.status == ValidationStatus::Invalid)
            .count();

        if broken_examples > 0 {
            recommendations.push(format!("Fix {broken_examples} broken examples"));
        }

        recommendations
    }
}

/// Complete documentation enhancement report
#[derive(Debug, Clone)]
pub struct DocumentationReport {
    /// Overall documentation readiness
    pub readiness: DocumentationReadiness,
    /// Documentation coverage percentage
    pub coverage_percentage: f32,
    /// Total items analyzed
    pub total_items: usize,
    /// Well-documented items
    pub well_documented_items: usize,
    /// Poorly documented items
    pub poorly_documented_items: usize,
    /// Critical documentation issues
    pub critical_issues: Vec<DocumentationIssue>,
    /// Detailed analysis results
    pub analysis_results: Vec<DocumentationAnalysisResult>,
    /// Generated user guides
    pub user_guides: Vec<UserGuide>,
    /// Created tutorials
    pub tutorials: Vec<Tutorial>,
    /// Example validation results
    pub example_validations: Vec<ExampleValidation>,
    /// Recommendations for improvement
    pub recommendations: Vec<String>,
    /// Configuration used
    pub config: DocumentationConfig,
}

/// Documentation readiness levels
#[derive(Debug, Clone, PartialEq)]
pub enum DocumentationReadiness {
    /// Ready for stable release
    Ready,
    /// Needs minor improvements
    NeedsMinorWork,
    /// Needs significant work
    NeedsSignificantWork,
}

impl fmt::Display for DocumentationReport {
    fn fmt(&self, f: &mut fmt::Formatter<'_>) -> fmt::Result {
        writeln!(f, "=== Documentation Enhancement Report ===")?;
        writeln!(f)?;
        writeln!(f, "Documentation Readiness: {:?}", self.readiness)?;
        writeln!(
            f,
            "Coverage: {:.1}% ({} of {} items well documented)",
            self.coverage_percentage, self.well_documented_items, self.total_items
        )?;
        writeln!(f)?;

        if !self.critical_issues.is_empty() {
            writeln!(f, "Critical Issues ({}):", self.critical_issues.len())?;
            for issue in &self.critical_issues {
                writeln!(f, "  - {}: {}", issue.location, issue.description)?;
            }
            writeln!(f)?;
        }

        writeln!(f, "Generated Content:")?;
        writeln!(f, "  - {} user guides", self.user_guides.len())?;
        writeln!(f, "  - {} tutorials", self.tutorials.len())?;
        writeln!(
            f,
            "  - {} example validations",
            self.example_validations.len()
        )?;
        writeln!(f)?;

        writeln!(f, "Recommendations:")?;
        for rec in &self.recommendations {
            writeln!(f, "  - {rec}")?;
        }

        Ok(())
    }
}

/// Convenience functions
/// Run comprehensive documentation enhancement with default configuration
#[allow(dead_code)]
pub fn enhance_documentation_for_stable_release() -> InterpolateResult<DocumentationReport> {
    let config = DocumentationConfig::default();
    let mut enhancer = DocumentationEnhancer::new(config);
    enhancer.enhance_documentation()
}

/// Run quick documentation analysis for development
#[allow(dead_code)]
pub fn quick_documentation_analysis() -> InterpolateResult<DocumentationReport> {
    let config = DocumentationConfig {
        min_coverage_percentage: 80.0,
        min_quality_score: 0.7,
        generate_user_guides: false,
        validate_examples: true,
        create_tutorials: false,
        target_audiences: vec![AudienceLevel::Intermediate],
    };
    let mut enhancer = DocumentationEnhancer::new(config);
    enhancer.enhance_documentation()
}

/// Run documentation enhancement with custom configuration
#[allow(dead_code)]
pub fn enhance_documentation_with_config(
    config: DocumentationConfig,
) -> InterpolateResult<DocumentationReport> {
    let mut enhancer = DocumentationEnhancer::new(config);
    enhancer.enhance_documentation()
}

#[cfg(test)]
mod tests {
    use super::*;

    #[test]
    fn test_documentation_enhancer_creation() {
        let config = DocumentationConfig::default();
        let enhancer = DocumentationEnhancer::new(config);
        assert_eq!(enhancer.analysis_results.len(), 0);
    }

    #[test]
    fn test_quick_documentation_analysis() {
        let result = quick_documentation_analysis();
        assert!(result.is_ok());
    }
}
