#![allow(dead_code)]

// This is a standalone example showing how to use the database model manager
// In a real project, you would use pywatt_sdk directly

use std::collections::HashMap;

// Self-contained model definitions for the example
mod model_types {
    use std::collections::HashMap;

    // Integer size variants
    #[derive(Debug, Clone, Copy)]
    pub enum IntegerSize {
        I8,
        U8,
        I16,
        U16,
        I32,
        U32,
        I64,
        U64,
    }

    // Data types
    #[derive(Debug, Clone)]
    pub enum DataType {
        Text(Option<u32>),
        Varchar(u32),
        Char(u32),
        Integer(IntegerSize),
        SmallInt,
        BigInt,
        Boolean,
        Float,
        Double,
        Decimal(u8, u8),
        Date,
        Time,
        DateTime,
        Timestamp,
        TimestampTz,
        Blob,
        Json,
        JsonB,
        Uuid,
        Enum(String, Vec<String>),
        Custom(String),
    }

    // Index types
    #[derive(Debug, Clone, PartialEq, Eq)]
    pub enum IndexType {
        BTree,
        Hash,
        Gin,
        Gist,
        Spatial,
    }

    // Column definition
    #[derive(Debug, Clone)]
    pub struct ColumnDescriptor {
        pub name: String,
        pub data_type: DataType,
        pub is_nullable: bool,
        pub is_primary_key: bool,
        pub is_unique: bool,
        pub default_value: Option<String>,
        pub auto_increment: bool,
        pub comment: Option<String>,
        pub constraints: Vec<Constraint>,
    }

    // Index definition
    #[derive(Debug, Clone)]
    pub struct IndexDescriptor {
        pub name: Option<String>,
        pub columns: Vec<String>,
        pub is_unique: bool,
        pub index_type: Option<IndexType>,
        pub condition: Option<String>,
    }

    // Constraint types
    #[derive(Debug, Clone)]
    pub enum Constraint {
        // Simplified for the example
        Check { expression: String },
    }

    // Model (table) definition
    #[derive(Debug, Clone)]
    pub struct ModelDescriptor {
        pub name: String,
        pub schema: Option<String>,
        pub columns: Vec<ColumnDescriptor>,
        pub primary_key: Option<Vec<String>>,
        pub indexes: Vec<IndexDescriptor>,
        pub constraints: Vec<Constraint>,
        pub comment: Option<String>,
        pub engine: Option<String>,
        pub charset: Option<String>,
        pub collation: Option<String>,
        pub options: HashMap<String, String>,
    }
}

use model_types::*;

fn main() {
    // Create a sample model descriptor
    let user_model = ModelDescriptor {
        name: "users".to_string(),
        schema: None, // SQLite doesn't use schemas
        columns: vec![
            // ID column (primary key with auto-increment)
            ColumnDescriptor {
                name: "id".to_string(),
                data_type: DataType::Integer(IntegerSize::I64),
                is_nullable: false,
                is_primary_key: true,
                is_unique: false,
                default_value: None,
                auto_increment: true,
                comment: Some("Primary key".to_string()),
                constraints: vec![],
            },
            // Username column (unique, not null)
            ColumnDescriptor {
                name: "username".to_string(),
                data_type: DataType::Varchar(100),
                is_nullable: false,
                is_primary_key: false,
                is_unique: true,
                default_value: None,
                auto_increment: false,
                comment: None,
                constraints: vec![],
            },
            // Email column (unique, not null)
            ColumnDescriptor {
                name: "email".to_string(),
                data_type: DataType::Varchar(255),
                is_nullable: false,
                is_primary_key: false,
                is_unique: true,
                default_value: None,
                auto_increment: false,
                comment: None,
                constraints: vec![],
            },
        ],
        primary_key: None,
        indexes: vec![IndexDescriptor {
            name: Some("idx_users_username".to_string()),
            columns: vec!["username".to_string()],
            is_unique: true,
            index_type: None,
            condition: None,
        }],
        constraints: vec![],
        comment: Some("User accounts".to_string()),
        engine: None,
        charset: None,
        collation: None,
        options: HashMap::new(),
    };

    println!("=== Example Model Descriptor ===");
    println!("Model: {}", user_model.name);

    println!("\nColumns:");
    for column in &user_model.columns {
        println!(
            "  - {} ({})",
            column.name,
            format_data_type(&column.data_type)
        );
        if column.is_primary_key {
            println!("    * Primary Key");
        }
        if column.is_unique {
            println!("    * Unique");
        }
        if !column.is_nullable {
            println!("    * Not Null");
        }
    }

    println!("\nIndexes:");
    for index in &user_model.indexes {
        println!(
            "  - {} on columns: {}",
            index.name.as_deref().unwrap_or("unnamed"),
            index.columns.join(", ")
        );
        if index.is_unique {
            println!("    * Unique");
        }
    }

    println!("\nModel descriptor successfully created!");
}

fn format_data_type(data_type: &DataType) -> String {
    match data_type {
        DataType::Integer(size) => format!("INTEGER({:?})", size),
        DataType::Varchar(length) => format!("VARCHAR({})", length),
        DataType::Text(_) => "TEXT".to_string(),
        _ => format!("{:?}", data_type),
    }
}
