package extract_test

import (
	"context"
	"strings"
	"testing"

	"github.com/netcell-it/deklarix/internal/extract"
	"github.com/netcell-it/deklarix/internal/rules"
)

func TestExtractRejectsEmptyCaption(t *testing.T) {
	e := extract.NewEngine()
	if _, err := e.Extract(context.Background(), extract.Input{Platform: "instagram", Consideration: "bezahlt"}); err == nil {
		t.Fatal("expected error for empty caption, got nil")
	}
}

func TestExtractRejectsMissingConsideration(t *testing.T) {
	e := extract.NewEngine()
	if _, err := e.Extract(context.Background(), extract.Input{Platform: "instagram", Caption: "irgendein Text"}); err == nil {
		t.Fatal("expected error for missing consideration, got nil")
	}
}

func TestExtractRejectsInvalidConsideration(t *testing.T) {
	e := extract.NewEngine()
	_, err := e.Extract(context.Background(), extract.Input{
		Platform: "instagram", Caption: "Text", Consideration: "vielleicht",
	})
	if err == nil {
		t.Fatal("expected error for an out-of-enum consideration value, got nil")
	}
}

func TestExtractDetectsDisclosureKeyword(t *testing.T) {
	e := extract.NewEngine()
	result, err := e.Extract(context.Background(), extract.Input{
		Platform: "instagram", Consideration: "bezahlt",
		Caption: "Werbung: Schaut euch dieses tolle Produkt an!",
	})
	if err != nil {
		t.Fatalf("Extract: %v", err)
	}
	if !result.Facts.DisclosurePresent {
		t.Error("expected DisclosurePresent = true")
	}
	if result.Facts.DisclosureWording != "Werbung" {
		t.Errorf("DisclosureWording = %q, want Werbung (original casing preserved)", result.Facts.DisclosureWording)
	}
	if !result.Facts.DisclosureBeforeCut {
		t.Error("expected DisclosureBeforeCut = true (Werbung is at index 0)")
	}
}

func TestExtractIsCaseInsensitive(t *testing.T) {
	e := extract.NewEngine()
	result, err := e.Extract(context.Background(), extract.Input{
		Platform: "instagram", Consideration: "bezahlt", Caption: "WERBUNG fuer ein Produkt",
	})
	if err != nil {
		t.Fatalf("Extract: %v", err)
	}
	if !result.Facts.DisclosurePresent {
		t.Fatal("expected case-insensitive match to find the keyword")
	}
}

func TestExtractDetectsDisclosureAfterTruncationCut(t *testing.T) {
	e := extract.NewEngine()
	// 130 Fuellzeichen vor "Werbung" -> jenseits der Instagram-Schwelle (125).
	padding := strings.Repeat("x", 130)
	result, err := e.Extract(context.Background(), extract.Input{
		Platform: "instagram", Consideration: "bezahlt", Caption: padding + " Werbung",
	})
	if err != nil {
		t.Fatalf("Extract: %v", err)
	}
	if !result.Facts.DisclosurePresent {
		t.Fatal("expected the keyword to still be found even though it's late in the caption")
	}
	if result.Facts.DisclosureBeforeCut {
		t.Error("expected DisclosureBeforeCut = false when the keyword appears after the platform's truncation threshold")
	}
}

func TestExtractNoDisclosureFound(t *testing.T) {
	e := extract.NewEngine()
	result, err := e.Extract(context.Background(), extract.Input{
		Platform: "instagram", Consideration: "keine", Caption: "Ein ganz normaler Tag im Park.",
	})
	if err != nil {
		t.Fatalf("Extract: %v", err)
	}
	if result.Facts.DisclosurePresent {
		t.Error("expected DisclosurePresent = false when no keyword is present")
	}
	if result.Facts.DisclosureBeforeCut {
		t.Error("expected DisclosureBeforeCut = false when there is no disclosure at all")
	}
}

func TestExtractPassesThroughUnclearConsideration(t *testing.T) {
	e := extract.NewEngine()
	result, err := e.Extract(context.Background(), extract.Input{
		Platform: "instagram", Consideration: "unklar", Caption: "Text ohne klare Angabe",
	})
	if err != nil {
		t.Fatalf("Extract: %v", err)
	}
	if result.Facts.Consideration != rules.ConsiderationUnclear {
		t.Fatalf("Consideration = %q, want unklar", result.Facts.Consideration)
	}
}

func TestExtractDifferentPlatformThresholds(t *testing.T) {
	e := extract.NewEngine()
	// 140 Fuellzeichen: unter der TikTok-Schwelle (150), aber ueber der
	// Instagram-Schwelle (125) -> gleiche Caption, unterschiedliches Ergebnis.
	padding := strings.Repeat("x", 140)
	caption := padding + " Werbung"

	igResult, err := e.Extract(context.Background(), extract.Input{Platform: "instagram", Consideration: "bezahlt", Caption: caption})
	if err != nil {
		t.Fatalf("Extract (instagram): %v", err)
	}
	ttResult, err := e.Extract(context.Background(), extract.Input{Platform: "tiktok", Consideration: "bezahlt", Caption: caption})
	if err != nil {
		t.Fatalf("Extract (tiktok): %v", err)
	}

	if igResult.Facts.DisclosureBeforeCut {
		t.Error("expected DisclosureBeforeCut = false for instagram at this length")
	}
	if !ttResult.Facts.DisclosureBeforeCut {
		t.Error("expected DisclosureBeforeCut = true for tiktok at this length")
	}
}

func TestExtractRawJSONRoundTripsThroughParsePayload(t *testing.T) {
	e := extract.NewEngine()
	result, err := e.Extract(context.Background(), extract.Input{
		Platform: "instagram", Jurisdiction: "DE", Consideration: "sachbezug",
		Caption: "Anzeige: dieses Produkt wurde mir geschenkt",
	})
	if err != nil {
		t.Fatalf("Extract: %v", err)
	}

	facts, err := extract.ParsePayload(result.RawJSON, "instagram", "DE")
	if err != nil {
		t.Fatalf("ParsePayload: %v", err)
	}
	if facts != result.Facts {
		t.Fatalf("ParsePayload(Extract().RawJSON) = %+v, want %+v", facts, result.Facts)
	}
}

func TestParsePayloadRejectsInvalidConsideration(t *testing.T) {
	payload := []byte(`{"gegenleistung":"vielleicht","kennzeichnung_vorhanden":false,"kennzeichnung_wortlaut":"","kennzeichnung_vor_kuerzung":false}`)
	if _, err := extract.ParsePayload(payload, "tiktok", "DE"); err == nil {
		t.Fatal("expected error for out-of-enum stored payload, got nil")
	}
}