package cmd

import (
	"fmt"

	"github.com/spf13/cobra"
)

var queryCmd = &cobra.Command{
	Use:   "query <text>",
	Short: "Search indexed documentation",
	Long: `Search indexed documentation using semantic similarity.

Returns the most relevant document chunks based on vector similarity
to the query text.

Examples:
  devour query "how to authenticate"
  devour query "API rate limiting" --limit 10
  devour query "deployment" --format json`,
	Args: cobra.MinimumNArgs(1),
	RunE: runQuery,
}

var (
	queryLimit     int
	queryFormat    string
	queryThreshold float64
)

func init() {
	queryCmd.Flags().IntVarP(&queryLimit, "limit", "l", 5, "maximum number of results")
	queryCmd.Flags().StringVarP(&queryFormat, "format", "f", "text", "output format (text, json, markdown)")
	queryCmd.Flags().Float64Var(&queryThreshold, "threshold", 0.7, "similarity threshold (0-1)")
}

func runQuery(cmd *cobra.Command, args []string) error {
	query := args[0]
	if len(args) > 1 {
		query = fmt.Sprintf("%s", args)
	}

	fmt.Printf("Searching: %q\n", query)
	fmt.Printf("  Limit: %d\n", queryLimit)
	fmt.Printf("  Threshold: %.2f\n", queryThreshold)
	fmt.Println()

	// TODO: Implement actual query logic
	// 1. Generate embedding for query
	// 2. Search vector database
	// 3. Format and return results

	// Placeholder results
	fmt.Println("Results:")
	fmt.Println("━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━")
	fmt.Println("⚠️  Query functionality not yet implemented")
	fmt.Println("   Index some documents first with 'devour scrape'")

	return nil
}