#!/usr/bin/env nu
# AI-Enhanced i18n Commands for AuroraFrame
#
# Integrates the Fluent plugin with AI-powered translation tools
# via the MCP server to provide intelligent internationalization.

# Load the main i18n framework
use i18n.nu *

# AI-powered translation generation
export def "aurora ai i18n translate" [
    source_locale: string
    target_locale: string
    --page: string                    # Specific page to translate
    --namespace: string               # Specific namespace to translate
    --context: string                 # Additional context for AI
    --output: string                  # Output file path
    --validate: bool = true           # Validate generated translations
] {
    print $"🤖 AI Translation: ($source_locale) → ($target_locale)"

    # Load site configuration
    let site_config = (open "config/site.k" | from json)
    let page_config = if ($page | is-not-empty) {
        open $"pages/($page)/config.k" | from json
    } else {
        {}
    }

    # Extract source messages
    let source_bundle = (load_merged_locales $source_locale $page $site_config $page_config)

    # Prepare context information
    let translation_context = {
        page: ($page | default "global")
        namespace: ($namespace | default "all")
        brand_name: ($site_config.name | default "AuroraFrame")
        additional_context: ($context | default "")
    }

    # Convert bundle to FTL format for translation
    let source_ftl = (bundle_to_ftl $source_bundle $namespace)

    # Call MCP server for AI translation
    let mcp_request = {
        method: "tools/call"
        params: {
            name: "generate_translations"
            arguments: {
                source_locale: $source_locale
                target_locale: $target_locale
                source_messages: $source_ftl
                context: $translation_context
            }
        }
    }

    let ai_result = (call_mcp_server $mcp_request true)

    if "error" in $ai_result {
        error make { msg: $"AI translation failed: ($ai_result.error)" }
    }

    # Extract FTL content from AI response
    let generated_ftl = (extract_ftl_from_response $ai_result.content.0.text)

    # Validate the generated FTL if requested
    if $validate {
        let validation = (fluent validate $generated_ftl)
        if not $validation.valid {
            print "⚠️ Generated FTL has validation issues:"
            for error in $validation.errors {
                print $"  - ($error)"
            }
        }
    }

    # Save or display the result
    if ($output | is-not-empty) {
        $generated_ftl | save $output
        print $"✅ Translations saved to: ($output)"
    } else {
        # Determine output path based on page and namespace
        let output_path = if ($page | is-not-empty) {
            $"locales/pages/($page)/($target_locale)/($namespace | default 'generated').ftl"
        } else {
            $"locales/global/($target_locale)/($namespace | default 'generated').ftl"
        }

        mkdir ($output_path | path dirname)
        $generated_ftl | save $output_path
        print $"✅ Translations saved to: ($output_path)"
    }
}

# AI-powered translation validation
export def "aurora ai i18n validate" [
    --locales: list<string>          # Locales to validate
    --page: string                   # Specific page to validate
    --fix: bool = false              # Auto-fix issues where possible
] {
    print "🧠 AI Translation Validation"

    # Load configuration
    let site_config = (open "config/site.k" | from json)
    let target_locales = $locales | default ($site_config.i18n.available_locales | each { |l| $l.code })

    # Load all locale bundles
    mut message_bundles = {}
    for locale in $target_locales {
        let bundle = (load_merged_locales $locale $page $site_config)
        $message_bundles = ($message_bundles | insert $locale $bundle)
    }

    # Call AI validation via MCP
    let mcp_request = {
        method: "tools/call"
        params: {
            name: "validate_translations"
            arguments: {
                locales: $target_locales
                reference_locale: $site_config.i18n.default_locale
                message_bundles: $message_bundles
            }
        }
    }

    let validation_result = (call_mcp_server $mcp_request true)

    if "error" in $validation_result {
        error make { msg: $"AI validation failed: ($validation_result.error)" }
    }

    print $validation_result.content.0.text

    if $fix {
        print "🔧 Auto-fix functionality coming soon..."
        # TODO: Implement auto-fix based on AI suggestions
    }
}

# Extract translatable strings from templates
export def "aurora ai i18n extract" [
    template_files: list<string>     # Template files to analyze
    --page: string                   # Page context
    --output: string                 # Output file for extracted strings
    --format: string = "ftl"         # Output format (ftl, json)
] {
    print $"🔍 AI String Extraction from ($template_files | length) templates"

    # Load existing messages to avoid duplicates
    let site_config = (open "config/site.k" | from json)
    let existing_bundle = (load_merged_locales $site_config.i18n.default_locale $page $site_config)
    let existing_messages = (extract_message_ids $existing_bundle)

    # Prepare page context
    let page_context = if ($page | is-not-empty) {
        let page_config = (open $"pages/($page)/config.k" | from json)
        {
            page_name: $page
            page_type: ($page_config.layout? | default "default")
            features: ($page_config | columns)
        }
    } else {
        {}
    }

    # Call AI extraction via MCP
    let mcp_request = {
        method: "tools/call"
        params: {
            name: "extract_strings"
            arguments: {
                template_files: $template_files
                page_context: $page_context
                existing_messages: $existing_messages
            }
        }
    }

    let extraction_result = (call_mcp_server $mcp_request true)

    if "error" in $extraction_result {
        error make { msg: $"AI extraction failed: ($extraction_result.error)" }
    }

    # Process the extraction results
    let extracted_content = $extraction_result.content.0.text

    if ($output | is-not-empty) {
        $extracted_content | save $output
        print $"✅ Extracted strings saved to: ($output)"
    } else {
        print $extracted_content
    }
}

# Get AI-powered i18n improvement suggestions
export def "aurora ai i18n optimize" [
    --analyze-usage: bool = false     # Include usage pattern analysis
    --performance: bool = false       # Include performance metrics
] {
    print "🚀 AI i18n Optimization Analysis"

    # Analyze current locale structure
    let site_config = (open "config/site.k" | from json)
    let locale_structure = (analyze_locale_structure $site_config)

    # Gather usage patterns if requested
    let usage_patterns = if $analyze_usage {
        analyze_usage_patterns $site_config
    } else {
        {}
    }

    # Gather performance metrics if requested
    let performance_metrics = if $performance {
        analyze_performance_metrics $site_config
    } else {
        {}
    }

    # Call AI optimization via MCP
    let mcp_request = {
        method: "tools/call"
        params: {
            name: "suggest_improvements"
            arguments: {
                locale_structure: $locale_structure
                usage_patterns: $usage_patterns
                performance_metrics: $performance_metrics
            }
        }
    }

    let optimization_result = (call_mcp_server $mcp_request true)

    if "error" in $optimization_result {
        error make { msg: $"AI optimization failed: ($optimization_result.error)" }
    }

    print $optimization_result.content.0.text
}

# Initialize AI-enhanced i18n for a project
export def "aurora ai i18n init" [
    --locales: list<string>          # Initial locales to set up
    --interactive: bool = true       # Interactive setup mode
] {
    print "🌍 Initializing AI-Enhanced i18n"

    let target_locales = $locales | default ["en-US", "es-ES", "fr-FR"]

    if $interactive {
        print "Setting up i18n structure..."

        # Create directory structure
        for locale in $target_locales {
            mkdir $"locales/global/($locale)"
        }

        # Generate initial common.ftl files with AI assistance
        for locale in $target_locales {
            if $locale != "en-US" {
                print $"  Generating initial ($locale) translations..."
                aurora ai i18n translate "en-US" $locale --namespace "common" --context "Initial setup for AuroraFrame project"
            }
        }

        print "✅ AI-enhanced i18n initialized successfully!"
        print $"📁 Created structure for locales: ($target_locales | str join ', ')"
        print "🚀 Use 'aurora ai i18n translate' to generate more translations"
    }
}

# Helper functions

def bundle_to_ftl [bundle: record, namespace?: string] {
    # Convert a message bundle back to FTL format
    mut ftl_content = ""

    let target_namespaces = if ($namespace | is-not-empty) {
        [$namespace]
    } else {
        $bundle | columns
    }

    for ns in $target_namespaces {
        if $ns in ($bundle | columns) {
            let namespace_data = ($bundle | get $ns)
            if "messages" in ($namespace_data | columns) {
                let messages = ($namespace_data.messages | columns)
                for msg_id in $messages {
                    let msg_data = ($namespace_data.messages | get $msg_id)
                    $ftl_content = $ftl_content + $"($msg_id) = ($msg_data.text)\n"
                }
            }
        }
    }

    $ftl_content
}

def extract_ftl_from_response [response_text: string] {
    # Extract FTL code block from AI response
    let lines = ($response_text | lines)
    mut in_ftl_block = false
    mut ftl_lines = []

    for line in $lines {
        if ($line | str trim) == "```ftl" {
            $in_ftl_block = true
        } else if ($line | str trim) == "```" and $in_ftl_block {
            break
        } else if $in_ftl_block {
            $ftl_lines = ($ftl_lines | append $line)
        }
    }

    $ftl_lines | str join "\n"
}

def extract_message_ids [bundle: record] {
    # Extract all message IDs from a bundle
    mut message_ids = []

    for namespace in ($bundle | columns) {
        let ns_data = ($bundle | get $namespace)
        if "messages" in ($ns_data | columns) {
            let ids = ($ns_data.messages | columns)
            $message_ids = ($message_ids | append $ids)
        }
    }

    $message_ids | uniq
}

def analyze_locale_structure [site_config: record] {
    # Analyze the current locale directory structure
    let global_dir = $site_config.i18n.global_locales_dir
    let pages_dir = $site_config.i18n.page_locales_dir

    {
        global_locales: (try { ls $global_dir } catch { [] })
        page_locales: (try { ls $pages_dir } catch { [] })
        config: $site_config.i18n
    }
}

def analyze_usage_patterns [site_config: record] {
    # Placeholder for usage pattern analysis
    # In practice, this would analyze actual usage logs
    {
        most_requested_locales: ["en-US", "es-ES"]
        page_views_by_locale: {}
        missing_translation_requests: []
    }
}

def analyze_performance_metrics [site_config: record] {
    # Placeholder for performance metrics
    # In practice, this would measure actual load times and bundle sizes
    {
        bundle_sizes: {}
        load_times: {}
        cache_hit_rates: {}
    }
}

# Mock MCP server call (replace with actual implementation)
def call_mcp_server [request: record, debug: bool] {
    # This is a simplified mock - in practice, this would call the actual MCP server
    print "📡 Calling MCP server for AI assistance..."

    # Simulate successful response
    {
        content: [
            {
                type: "text"
                text: "AI-powered i18n functionality is ready! The actual implementation will connect to the AuroraFrame MCP server for intelligent translation assistance."
            }
        ]
    }
}