package model

import (
	"fmt"
	"sort"
)

const (
	BackendSenseVoice     = "sensevoice"
	BackendMoonshine      = "moonshine"
	BackendTransducer     = "transducer"
	BackendNemoTransducer = "nemo_transducer"
	BackendQwen3ASR       = "qwen3_asr"
	BackendXASRStreaming  = "x_asr_streaming"
)

var languageProfileOrder = []string{
	DefaultLanguageID,
	EnglishLanguageID,
	FrenchLanguageID,
	GermanLanguageID,
	SpanishLanguageID,
	ItalianLanguageID,
	PortugueseLanguageID,
	JapaneseLanguageID,
	KoreanLanguageID,
}

var modelProfiles = map[string]ModelProfile{
	DefaultModelID: {
		ID:          DefaultModelID,
		DisplayName: "SenseVoice",
		BackendKind: BackendSenseVoice,
		Tier:        "default",
		SupportedLanguageIDs: []string{
			"zh-CN",
			"zh-Hans",
			"zh-Hant",
			"yue",
			"en",
			"ja",
			"ko",
		},
		RecommendedFor: []string{"zh-CN"},
		Description:    "轻量中文模型，适合中文和中英混输。",
		DownloadURLs: []string{
			"http://www.maikami.com/voicesnap/sensevoice.zip",
			"https://modelscope.cn/models/sherpa-onnx/sherpa-onnx-sense-voice-zh-en-ja-ko-yue/resolve/master/sherpa-onnx-sense-voice-zh-en-ja-ko-yue-int8-2024-07-17.tar.bz2",
		},
		InstallDirName: "sensevoice-zh",
		LegacyDirNames: []string{"sensevoice"},
		RequiredFiles: []RequiredFileRule{
			{
				Role:     "model",
				AnyOf:    []string{"model.int8.onnx", "model.onnx"},
				Required: true,
			},
			{
				Role:     "tokens",
				AllOf:    []string{"tokens.txt"},
				Required: true,
			},
		},
		ProviderOrder: []string{"coreml", "cpu"},
		NumThreads:    4,
	},
	MoonshineModelID: {
		ID:                   MoonshineModelID,
		DisplayName:          "Moonshine English",
		BackendKind:          BackendMoonshine,
		Tier:                 "default",
		SupportedLanguageIDs: []string{EnglishLanguageID},
		RecommendedFor:       []string{EnglishLanguageID},
		Description:          "轻量英文离线模型，适合英文听写和英文日常输入。",
		ApproxSize:           "约 239 MiB 下载包，解压后约 270-280 MiB",
		DownloadURLs: []string{
			"https://github.com/k2-fsa/sherpa-onnx/releases/download/asr-models/sherpa-onnx-moonshine-base-en-int8.tar.bz2",
		},
		InstallDirName: "moonshine-en",
		RequiredFiles: []RequiredFileRule{
			{
				Role:     "preprocessor",
				AllOf:    []string{"preprocess.onnx"},
				Required: true,
			},
			{
				Role:     "encoder",
				AllOf:    []string{"encode.int8.onnx"},
				Required: true,
			},
			{
				Role:     "uncached_decoder",
				AllOf:    []string{"uncached_decode.int8.onnx"},
				Required: true,
			},
			{
				Role:     "cached_decoder",
				AllOf:    []string{"cached_decode.int8.onnx"},
				Required: true,
			},
			{
				Role:     "tokens",
				AllOf:    []string{"tokens.txt"},
				Required: true,
			},
		},
		ProviderOrder: []string{"cpu"},
		NumThreads:    4,
	},
	ParakeetModelID: {
		ID:                   ParakeetModelID,
		DisplayName:          "Parakeet English",
		BackendKind:          BackendNemoTransducer,
		Tier:                 "advanced",
		SupportedLanguageIDs: []string{EnglishLanguageID},
		RecommendedFor:       []string{EnglishLanguageID},
		Description:          "高质量英文离线模型，适合英文长句、技术词和更高准确率需求。",
		ApproxSize:           "约 478 MiB 下载包",
		DownloadURLs: []string{
			"https://github.com/k2-fsa/sherpa-onnx/releases/download/asr-models/sherpa-onnx-nemo-parakeet-unified-en-0.6b-int8-non-streaming.tar.bz2",
		},
		InstallDirName: "parakeet-en",
		RequiredFiles: []RequiredFileRule{
			{
				Role:     "encoder",
				AllOf:    []string{"encoder.int8.onnx"},
				Required: true,
			},
			{
				Role:     "decoder",
				AllOf:    []string{"decoder.int8.onnx"},
				Required: true,
			},
			{
				Role:     "joiner",
				AllOf:    []string{"joiner.int8.onnx"},
				Required: true,
			},
			{
				Role:     "tokens",
				AllOf:    []string{"tokens.txt"},
				Required: true,
			},
		},
		ProviderOrder: []string{"cpu"},
		NumThreads:    4,
	},
	ParakeetV3ModelID: {
		ID:          ParakeetV3ModelID,
		DisplayName: "Parakeet TDT v3",
		BackendKind: BackendNemoTransducer,
		Tier:        "default",
		SupportedLanguageIDs: []string{
			FrenchLanguageID,
			GermanLanguageID,
			SpanishLanguageID,
			ItalianLanguageID,
			PortugueseLanguageID,
		},
		RecommendedFor: []string{
			FrenchLanguageID,
			GermanLanguageID,
			SpanishLanguageID,
			ItalianLanguageID,
			PortugueseLanguageID,
		},
		Description: "欧洲多语种离线模型，适合法语、德语、西班牙语、意大利语和葡萄牙语听写。",
		ApproxSize:  "约 640 MiB 解压后模型目录",
		DownloadURLs: []string{
			"https://github.com/k2-fsa/sherpa-onnx/releases/download/asr-models/sherpa-onnx-nemo-parakeet-tdt-0.6b-v3-int8.tar.bz2",
		},
		InstallDirName: "parakeet-tdt-0.6b-v3",
		RequiredFiles: []RequiredFileRule{
			{
				Role:     "encoder",
				AllOf:    []string{"encoder.int8.onnx"},
				Required: true,
			},
			{
				Role:     "decoder",
				AllOf:    []string{"decoder.int8.onnx"},
				Required: true,
			},
			{
				Role:     "joiner",
				AllOf:    []string{"joiner.int8.onnx"},
				Required: true,
			},
			{
				Role:     "tokens",
				AllOf:    []string{"tokens.txt"},
				Required: true,
			},
		},
		ProviderOrder: []string{"cpu"},
		NumThreads:    2,
	},
	JapaneseModelID: {
		ID:                   JapaneseModelID,
		DisplayName:          "Zipformer Japanese",
		BackendKind:          BackendTransducer,
		Tier:                 "default",
		SupportedLanguageIDs: []string{JapaneseLanguageID},
		RecommendedFor:       []string{JapaneseLanguageID},
		Description:          "日语专项离线模型，基于 ReazonSpeech 日语语料。",
		ApproxSize:           "约 165 MiB int8 关键模型文件，解压目录包含 fp32 对照文件",
		DownloadURLs: []string{
			"https://github.com/k2-fsa/sherpa-onnx/releases/download/asr-models/sherpa-onnx-zipformer-ja-reazonspeech-2024-08-01.tar.bz2",
		},
		InstallDirName: "zipformer-ja-reazonspeech",
		RequiredFiles: []RequiredFileRule{
			{
				Role:     "encoder",
				AllOf:    []string{"encoder-epoch-99-avg-1.int8.onnx"},
				Required: true,
			},
			{
				Role:     "decoder",
				AllOf:    []string{"decoder-epoch-99-avg-1.onnx"},
				Required: true,
			},
			{
				Role:     "joiner",
				AllOf:    []string{"joiner-epoch-99-avg-1.int8.onnx"},
				Required: true,
			},
			{
				Role:     "tokens",
				AllOf:    []string{"tokens.txt"},
				Required: true,
			},
		},
		ProviderOrder: []string{"cpu"},
		NumThreads:    1,
	},
	KoreanModelID: {
		ID:                   KoreanModelID,
		DisplayName:          "Zipformer Korean",
		BackendKind:          BackendTransducer,
		Tier:                 "default",
		SupportedLanguageIDs: []string{KoreanLanguageID},
		RecommendedFor:       []string{KoreanLanguageID},
		Description:          "韩语专项离线模型，适合韩语听写。",
		ApproxSize:           "约 73 MiB int8 关键模型文件，解压目录包含 fp32 对照文件",
		DownloadURLs: []string{
			"https://github.com/k2-fsa/sherpa-onnx/releases/download/asr-models/sherpa-onnx-zipformer-korean-2024-06-24.tar.bz2",
		},
		InstallDirName: "zipformer-ko",
		RequiredFiles: []RequiredFileRule{
			{
				Role:     "encoder",
				AllOf:    []string{"encoder-epoch-99-avg-1.int8.onnx"},
				Required: true,
			},
			{
				Role:     "decoder",
				AllOf:    []string{"decoder-epoch-99-avg-1.onnx"},
				Required: true,
			},
			{
				Role:     "joiner",
				AllOf:    []string{"joiner-epoch-99-avg-1.int8.onnx"},
				Required: true,
			},
			{
				Role:     "tokens",
				AllOf:    []string{"tokens.txt"},
				Required: true,
			},
		},
		ProviderOrder: []string{"cpu"},
		NumThreads:    2,
	},
	Qwen3ASRModelID: {
		ID:                   Qwen3ASRModelID,
		DisplayName:          "Qwen3-ASR",
		BackendKind:          BackendQwen3ASR,
		Tier:                 "advanced",
		SupportedLanguageIDs: []string{DefaultLanguageID, "zh-Hans", "zh-Hant", "yue"},
		RecommendedFor:       []string{DefaultLanguageID},
		Description:          "高质量中文离线模型，适合中文长句、技术词和中英混输准确率需求。",
		ApproxSize:           "约 838 MiB 下载包，解压后约 1.9 GiB",
		DownloadURLs: []string{
			"https://github.com/k2-fsa/sherpa-onnx/releases/download/asr-models/sherpa-onnx-qwen3-asr-0.6B-int8-2026-03-25.tar.bz2",
		},
		InstallDirName: "qwen3-asr-0.6b",
		RequiredFiles: []RequiredFileRule{
			{
				Role:     "conv_frontend",
				AllOf:    []string{"conv_frontend.onnx"},
				Required: true,
			},
			{
				Role:     "encoder",
				AllOf:    []string{"encoder.int8.onnx"},
				Required: true,
			},
			{
				Role:     "decoder",
				AllOf:    []string{"decoder.int8.onnx"},
				Required: true,
			},
			{
				Role:      "tokenizer",
				AllOf:     []string{"tokenizer"},
				Required:  true,
				Directory: true,
			},
			{
				Role:     "tokenizer_merges",
				AllOf:    []string{"tokenizer/merges.txt"},
				Required: true,
			},
			{
				Role:     "tokenizer_vocab",
				AllOf:    []string{"tokenizer/vocab.json"},
				Required: true,
			},
		},
		ProviderOrder: []string{"cpu"},
		NumThreads:    4,
	},
	XASRZhEn960ModelID: {
		ID:                   XASRZhEn960ModelID,
		DisplayName:          "X-ASR zh-en 960ms",
		BackendKind:          BackendXASRStreaming,
		Tier:                 "experimental",
		SupportedLanguageIDs: []string{DefaultLanguageID, "zh-Hans", "zh-Hant", "yue", EnglishLanguageID},
		RecommendedFor:       []string{DefaultLanguageID, EnglishLanguageID},
		Description:          "实验性中英流式模型，适合评估中英混输和未来边说边出字体验。",
		ApproxSize:           "单个 960 ms 模型目录约 586 MiB",
		InstallDirName:       "x-asr-zh-en-960ms",
		RequiredFiles: []RequiredFileRule{
			{
				Role:     "encoder",
				AllOf:    []string{"encoder-960ms.onnx"},
				Required: true,
			},
			{
				Role:     "decoder",
				AllOf:    []string{"decoder-960ms.onnx"},
				Required: true,
			},
			{
				Role:     "joiner",
				AllOf:    []string{"joiner-960ms.onnx"},
				Required: true,
			},
			{
				Role:     "tokens",
				AllOf:    []string{"tokens.txt"},
				Required: true,
			},
		},
		ProviderOrder: []string{"cpu"},
		NumThreads:    1,
	},
}

var languageProfiles = map[string]LanguageProfile{
	DefaultLanguageID: {
		ID:              DefaultLanguageID,
		DisplayName:     "Chinese",
		NativeName:      "中文",
		UILocale:        "zh",
		SystemMatchers:  []string{"zh", "zh-CN", "zh-Hans", "zh-Hant"},
		DefaultModelID:  DefaultModelID,
		UpgradeModelIDs: []string{Qwen3ASRModelID, XASRZhEn960ModelID},
	},
	EnglishLanguageID: {
		ID:              EnglishLanguageID,
		DisplayName:     "English",
		NativeName:      "English",
		UILocale:        "en",
		SystemMatchers:  []string{"en", "en-US", "en-GB", "en-AU", "en-CA"},
		DefaultModelID:  MoonshineModelID,
		UpgradeModelIDs: []string{ParakeetModelID, XASRZhEn960ModelID},
	},
	FrenchLanguageID: {
		ID:             FrenchLanguageID,
		DisplayName:    "French",
		NativeName:     "Français",
		UILocale:       "fr",
		SystemMatchers: []string{"fr", "fr-FR", "fr-BE", "fr-CA", "fr-CH"},
		DefaultModelID: ParakeetV3ModelID,
	},
	GermanLanguageID: {
		ID:             GermanLanguageID,
		DisplayName:    "German",
		NativeName:     "Deutsch",
		UILocale:       "de",
		SystemMatchers: []string{"de", "de-DE", "de-AT", "de-CH"},
		DefaultModelID: ParakeetV3ModelID,
	},
	SpanishLanguageID: {
		ID:             SpanishLanguageID,
		DisplayName:    "Spanish",
		NativeName:     "Español",
		UILocale:       "es",
		SystemMatchers: []string{"es", "es-ES", "es-MX", "es-US", "es-AR"},
		DefaultModelID: ParakeetV3ModelID,
	},
	ItalianLanguageID: {
		ID:             ItalianLanguageID,
		DisplayName:    "Italian",
		NativeName:     "Italiano",
		UILocale:       "it",
		SystemMatchers: []string{"it", "it-IT", "it-CH"},
		DefaultModelID: ParakeetV3ModelID,
	},
	PortugueseLanguageID: {
		ID:             PortugueseLanguageID,
		DisplayName:    "Portuguese",
		NativeName:     "Português",
		UILocale:       "pt",
		SystemMatchers: []string{"pt", "pt-PT", "pt-BR"},
		DefaultModelID: ParakeetV3ModelID,
	},
	JapaneseLanguageID: {
		ID:             JapaneseLanguageID,
		DisplayName:    "Japanese",
		NativeName:     "日本語",
		UILocale:       "ja",
		SystemMatchers: []string{"ja", "ja-JP"},
		DefaultModelID: JapaneseModelID,
	},
	KoreanLanguageID: {
		ID:             KoreanLanguageID,
		DisplayName:    "Korean",
		NativeName:     "한국어",
		UILocale:       "ko",
		SystemMatchers: []string{"ko", "ko-KR"},
		DefaultModelID: KoreanModelID,
	},
}

func GetModelProfile(id string) (ModelProfile, error) {
	if id == "" {
		id = DefaultModelID
	}
	profile, ok := modelProfiles[id]
	if !ok {
		return ModelProfile{}, fmt.Errorf("unknown model profile: %s", id)
	}
	return profile, nil
}

func DefaultModelProfile() ModelProfile {
	return modelProfiles[DefaultModelID]
}

func ListModelProfiles() []ModelProfile {
	profiles := make([]ModelProfile, 0, len(modelProfiles))
	for _, profile := range modelProfiles {
		profiles = append(profiles, profile)
	}
	return profiles
}

func NormalizeModelID(id string) string {
	if _, err := GetModelProfile(id); err != nil {
		return DefaultModelID
	}
	return id
}

func GetLanguageProfile(id string) (LanguageProfile, error) {
	profile, ok := languageProfiles[id]
	if !ok {
		return LanguageProfile{}, fmt.Errorf("unknown language profile: %s", id)
	}
	return profile, nil
}

func ListLanguageProfiles() []LanguageProfile {
	profiles := make([]LanguageProfile, 0, len(languageProfiles))
	seen := make(map[string]bool, len(languageProfiles))
	for _, id := range languageProfileOrder {
		if profile, ok := languageProfiles[id]; ok {
			profiles = append(profiles, profile)
			seen[id] = true
		}
	}
	for id, profile := range languageProfiles {
		if !seen[id] {
			profiles = append(profiles, profile)
		}
	}
	sort.Slice(profiles, func(i, j int) bool {
		left := languageOrderIndex(profiles[i].ID)
		right := languageOrderIndex(profiles[j].ID)
		if left != right {
			return left < right
		}
		return profiles[i].ID < profiles[j].ID
	})
	return profiles
}

func languageOrderIndex(id string) int {
	for i, orderedID := range languageProfileOrder {
		if id == orderedID {
			return i
		}
	}
	return len(languageProfileOrder)
}

func NormalizeLanguageID(id string) string {
	if _, err := GetLanguageProfile(id); err != nil {
		return DefaultLanguageID
	}
	return id
}