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ttstd-infinite-canvas/backend/internal/service/model_capability.go

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package service
import (
"encoding/json"
"errors"
"fmt"
"sort"
"strconv"
"strings"
"infinite-canvas/backend/internal/model"
)
// ModelCapabilityConfig 是模型能力声明,不包含供应商字段名;协议适配器负责把统一参数映射到上游请求。
type ModelCapabilityConfig struct {
Version int `json:"version"`
Image *ImageCapabilityConfig `json:"image,omitempty"`
Video *VideoCapabilityConfig `json:"video,omitempty"`
}
type ImageCapabilityConfig struct {
References ImageReferenceConfig `json:"references"`
Size ImageSizeConfig `json:"size"`
Quality ImageQualityConfig `json:"quality"`
TransparentBackground VideoBooleanConfig `json:"transparentBackground"`
ResponseFormat ParameterSupport `json:"responseFormat"`
OutputFormat ParameterSupport `json:"outputFormat"`
MaxOutputs int `json:"maxOutputs"`
}
type ImageReferenceConfig struct {
PromptMaxChars int `json:"promptMaxChars"`
MaxImages int `json:"maxImages"`
MaxImageBytes int64 `json:"maxImageBytes"`
MaskSupported bool `json:"maskSupported"`
}
type ImageSizeConfig struct {
Parameter string `json:"parameter"`
Values []string `json:"values"`
Default string `json:"default"`
AllowCustom bool `json:"allowCustom"`
}
type ImageQualityConfig struct {
Supported bool `json:"supported"`
Values []string `json:"values"`
Default string `json:"default"`
}
type ParameterSupport struct {
Supported bool `json:"supported"`
}
type VideoCapabilityConfig struct {
References VideoReferenceConfig `json:"references"`
Duration VideoDurationConfig `json:"duration"`
Ratios []string `json:"ratios"`
DefaultRatio string `json:"defaultRatio"`
Resolutions []string `json:"resolutions"`
DefaultResolution string `json:"defaultResolution"`
GenerateAudio VideoBooleanConfig `json:"generateAudio"`
Watermark VideoBooleanConfig `json:"watermark"`
Operations []string `json:"operations"`
DefaultOperation string `json:"defaultOperation"`
}
type VideoReferenceConfig struct {
PromptMaxChars int `json:"promptMaxChars"`
MinImages int `json:"minImages"`
MaxImages int `json:"maxImages"`
MaxImageBytes int64 `json:"maxImageBytes"`
MaxVideos int `json:"maxVideos"`
MaxVideoBytes int64 `json:"maxVideoBytes"`
MaxVideoDuration int `json:"maxVideoDurationSeconds"`
MaxAudios int `json:"maxAudios"`
MaxAudioBytes int64 `json:"maxAudioBytes"`
MaxAudioDuration int `json:"maxAudioDurationSeconds"`
}
type VideoDurationConfig struct {
Selection string `json:"selection"`
Min int `json:"min,omitempty"`
Max int `json:"max,omitempty"`
Step int `json:"step,omitempty"`
Values []int `json:"values,omitempty"`
Default int `json:"default"`
}
type VideoBooleanConfig struct {
Supported bool `json:"supported"`
Default bool `json:"default"`
}
func DefaultModelCapabilityConfig(protocol string) *ModelCapabilityConfig {
return DefaultModelCapabilityConfigForModel(protocol, "")
}
func DefaultImageCapabilityConfig(protocol string, modelName string) *ImageCapabilityConfig {
image := &ImageCapabilityConfig{
References: ImageReferenceConfig{PromptMaxChars: 32000, MaxImages: 16, MaxImageBytes: 30 * 1024 * 1024, MaskSupported: true},
Size: ImageSizeConfig{Parameter: "size", Values: defaultImageSizeValues(), Default: "1:1", AllowCustom: true},
Quality: ImageQualityConfig{Supported: true, Values: []string{"auto", "low", "medium", "high"}, Default: "auto"},
TransparentBackground: VideoBooleanConfig{Supported: true, Default: false},
ResponseFormat: ParameterSupport{Supported: true},
OutputFormat: ParameterSupport{Supported: true},
MaxOutputs: 15,
}
switch model.ChannelInterfaceType(protocol) {
case model.ChannelInterfaceGrokImage:
image.References.MaxImages = 1
image.References.MaskSupported = false
// grok2api / xAI Imagine:size→aspect_ratio,quality→resolution(1k/2k)。
image.Size = ImageSizeConfig{Parameter: "aspect_ratio", Values: []string{"1:1", "3:4", "4:3", "9:16", "16:9", "2:3", "3:2"}, Default: "1:1", AllowCustom: false}
image.Quality = ImageQualityConfig{Supported: true, Values: []string{"1k", "2k"}, Default: "2k"}
image.TransparentBackground = VideoBooleanConfig{Supported: false, Default: false}
image.ResponseFormat = ParameterSupport{Supported: true}
image.OutputFormat = ParameterSupport{Supported: false}
image.MaxOutputs = 1
case model.ChannelInterfaceVolcengineArkImage:
image.References.MaskSupported = false
image.Quality.Supported = false
image.TransparentBackground.Supported = false
image.ResponseFormat.Supported = false
image.OutputFormat.Supported = false
case model.ChannelInterfaceVolcengineJiMengImage:
image.References.MaxImages = 14
image.References.MaskSupported = false
image.Quality.Supported = false
image.TransparentBackground.Supported = false
image.ResponseFormat.Supported = false
image.OutputFormat.Supported = false
}
if model.ChannelInterfaceType(protocol) != model.ChannelInterfaceGrokImage && strings.HasPrefix(strings.ToLower(strings.TrimSpace(modelName)), "grok-imagine-image") {
image.References.MaxImages = 0
image.References.MaskSupported = false
image.Size = ImageSizeConfig{Parameter: "aspect_ratio", Values: []string{"1:1", "3:4", "4:3", "9:16", "16:9", "2:3", "3:2"}, Default: "1:1", AllowCustom: false}
image.Quality = ImageQualityConfig{Supported: true, Values: []string{"1k", "2k"}, Default: "2k"}
image.TransparentBackground = VideoBooleanConfig{Supported: false, Default: false}
image.ResponseFormat = ParameterSupport{Supported: true}
image.OutputFormat = ParameterSupport{Supported: false}
image.MaxOutputs = 1
}
return image
}
func defaultImageSizeValues() []string {
return []string{
"auto", "1:1", "3:2", "2:3", "4:3", "3:4", "16:9", "21:9", "9:16",
"1024x1024", "1360x1024", "1024x1360", "1536x1024", "1024x1536", "1024x1280", "1280x1024", "2048x878", "1824x1024", "1024x1824",
"2048x2048", "2304x1728", "1728x2304", "2496x1664", "1664x2496", "1792x2240", "2240x1792", "3136x1344", "2752x1536", "1536x2752",
"2880x2880", "3264x2448", "2448x3264", "3504x2336", "2336x3504", "2560x3200", "3200x2560", "3808x1632", "3840x2160", "2160x3840",
}
}
func DefaultModelCapabilityConfigForModel(protocol string, modelName string) *ModelCapabilityConfig {
video := &VideoCapabilityConfig{
References: VideoReferenceConfig{PromptMaxChars: 1000, MinImages: 0, MaxImages: 9, MaxImageBytes: 30 * 1024 * 1024, MaxVideos: 0, MaxVideoBytes: 0, MaxVideoDuration: 0, MaxAudios: 0, MaxAudioBytes: 0, MaxAudioDuration: 0},
Duration: VideoDurationConfig{Selection: "range", Min: 1, Max: 15, Step: 1, Default: 6},
Ratios: []string{"16:9", "9:16", "1:1", "4:3", "3:4", "21:9"},
DefaultRatio: "16:9",
Resolutions: []string{"480p", "720p", "1080p", "1440p", "2160p"},
DefaultResolution: "720p",
GenerateAudio: VideoBooleanConfig{Supported: false, Default: false},
Watermark: VideoBooleanConfig{Supported: false, Default: false},
Operations: []string{"text_to_video", "image_to_video"},
DefaultOperation: "text_to_video",
}
switch model.ChannelInterfaceType(protocol) {
case model.ChannelInterfaceVolcengineJiMengVideo:
video.Duration = VideoDurationConfig{Selection: "enum", Values: []int{5, 10}, Default: 5}
video.Resolutions = []string{"720p"}
case model.ChannelInterfaceGeminiVeo:
video.Duration = VideoDurationConfig{Selection: "enum", Values: []int{4, 6, 8}, Default: 6}
video.Resolutions = []string{"720p", "1080p"}
case model.ChannelInterfaceVolcengineArkVideo:
video.References.MaxVideos, video.References.MaxAudios = 3, 3
video.References.MaxVideoBytes, video.References.MaxAudioBytes = 200*1024*1024, 15*1024*1024
video.References.MaxVideoDuration, video.References.MaxAudioDuration = 15, 15
video.GenerateAudio = VideoBooleanConfig{Supported: true, Default: true}
video.Watermark = VideoBooleanConfig{Supported: true, Default: false}
video.Resolutions = []string{"480p", "720p", "1080p"}
case model.ChannelInterfaceNewAPIChannel1, model.ChannelInterfaceNewAPIChannel2:
video.References.MaxVideos, video.References.MaxAudios = 3, 3
video.References.MaxVideoBytes, video.References.MaxAudioBytes = 200*1024*1024, 15*1024*1024
video.References.MaxVideoDuration, video.References.MaxAudioDuration = 15, 15
video.GenerateAudio = VideoBooleanConfig{Supported: true, Default: true}
if model.ChannelInterfaceType(protocol) == model.ChannelInterfaceNewAPIChannel1 {
video.Resolutions = []string{"480p", "720p", "1080p"}
}
case model.ChannelInterfaceNewAPIVideo, model.ChannelInterfaceXAIVideo:
video.GenerateAudio = VideoBooleanConfig{Supported: false, Default: false}
case model.ChannelInterfaceNovitaVideo:
video.References.MaxImages, video.References.MaxImageBytes = 1, 10*1024*1024
video.Duration = VideoDurationConfig{Selection: "enum", Values: []int{5, 10}, Default: 5}
video.Ratios = []string{"16:9", "9:16", "1:1"}
video.Resolutions = []string{"1080p"}
video.DefaultResolution = "1080p"
}
return &ModelCapabilityConfig{Version: 1, Image: DefaultImageCapabilityConfig(protocol, modelName), Video: video}
}
func DecodeModelCapabilityConfig(raw string) (*ModelCapabilityConfig, error) {
if strings.TrimSpace(raw) == "" {
return nil, nil
}
var value ModelCapabilityConfig
if err := json.Unmarshal([]byte(raw), &value); err != nil {
return nil, err
}
return &value, nil
}
func NormalizeModelCapabilityConfig(capability string, _ string, input *ModelCapabilityConfig) (*ModelCapabilityConfig, error) {
if capability != "image" && capability != "video" {
return nil, nil
}
if capability == "image" {
if input == nil || input.Image == nil {
return nil, BadAuthRequest("请配置图片模型能力参数")
}
value := &ModelCapabilityConfig{Version: 1, Image: input.Image}
if err := validateImageCapabilityConfig(value.Image); err != nil {
return nil, err
}
return value, nil
}
if input == nil || input.Video == nil {
return nil, BadAuthRequest("请配置视频模型能力参数")
}
value := &ModelCapabilityConfig{Version: 1, Video: input.Video}
if err := validateVideoCapabilityConfig(value.Video); err != nil {
return nil, err
}
return value, nil
}
func validateImageCapabilityConfig(value *ImageCapabilityConfig) error {
if value.References.PromptMaxChars < 1 || value.References.PromptMaxChars > 1000000 {
return BadAuthRequest("提示词最大字符数必须在 1-1000000 之间")
}
if value.References.MaxImages < 0 || value.References.MaxImages > 100 || value.References.MaxImageBytes < 0 {
return BadAuthRequest("图片引用限制无效")
}
if value.MaxOutputs < 1 || value.MaxOutputs > 100 {
return BadAuthRequest("单次图片数量必须在 1-100 之间")
}
switch value.Size.Parameter {
case "none":
value.Size.Values = []string{}
value.Size.Default = "auto"
value.Size.AllowCustom = false
case "size", "aspect_ratio":
if strings.TrimSpace(value.Size.Default) == "" {
return BadAuthRequest("请配置默认图片尺寸或比例")
}
if !value.Size.AllowCustom && !containsCapabilityString(value.Size.Values, value.Size.Default) {
return BadAuthRequest("默认图片尺寸必须属于支持值")
}
default:
return BadAuthRequest("尺寸参数仅支持不发送、size 或 aspect_ratio")
}
if value.Quality.Supported {
if len(value.Quality.Values) == 0 || strings.TrimSpace(value.Quality.Default) == "" || !containsCapabilityString(value.Quality.Values, value.Quality.Default) {
return BadAuthRequest("请配置图片质量支持值和默认值")
}
} else {
value.Quality.Values = []string{}
value.Quality.Default = "auto"
}
if !value.TransparentBackground.Supported {
value.TransparentBackground.Default = false
}
return nil
}
func validateVideoCapabilityConfig(value *VideoCapabilityConfig) error {
if value.References.PromptMaxChars < 1 || value.References.PromptMaxChars > 1000000 {
return BadAuthRequest("提示词最大字符数必须在 1-1000000 之间")
}
for name, number := range map[string]int{"最少图片引用数": value.References.MinImages, "最大图片引用数": value.References.MaxImages, "最大视频引用数": value.References.MaxVideos, "最大音频引用数": value.References.MaxAudios} {
if number < 0 || number > 100 {
return BadAuthRequest(name + "必须在 0-100 之间")
}
}
if value.References.MinImages > value.References.MaxImages {
return BadAuthRequest("最少图片引用数不能超过最大图片引用数")
}
if value.References.MaxImageBytes < 0 || value.References.MaxVideoBytes < 0 || value.References.MaxAudioBytes < 0 || value.References.MaxVideoDuration < 0 || value.References.MaxAudioDuration < 0 {
return BadAuthRequest("引用素材限制不能小于 0")
}
if err := validateVideoDuration(value.Duration); err != nil {
return err
}
if len(value.Ratios) == 0 || strings.TrimSpace(value.DefaultRatio) == "" || !containsCapabilityString(value.Ratios, value.DefaultRatio) {
return BadAuthRequest("请至少配置一个画面比例,并选择默认比例")
}
if len(value.Resolutions) == 0 {
if strings.TrimSpace(value.DefaultResolution) != "" {
return BadAuthRequest("未配置输出分辨率时不能设置默认分辨率")
}
} else if strings.TrimSpace(value.DefaultResolution) == "" || !containsCapabilityString(value.Resolutions, value.DefaultResolution) {
return BadAuthRequest("默认输出分辨率必须属于支持值")
}
if len(value.Operations) == 0 || strings.TrimSpace(value.DefaultOperation) == "" || !containsCapabilityString(value.Operations, value.DefaultOperation) {
return BadAuthRequest("请至少配置一个生成模式,并选择默认模式")
}
return nil
}
func validateVideoDuration(value VideoDurationConfig) error {
switch value.Selection {
case "range":
if value.Min < 1 || value.Max < value.Min || value.Max > 3600 || value.Step < 1 || value.Default < value.Min || value.Default > value.Max || (value.Default-value.Min)%value.Step != 0 {
return BadAuthRequest("视频时长范围或默认值无效")
}
case "enum":
if len(value.Values) == 0 || len(value.Values) > 100 {
return BadAuthRequest("视频固定时长至少需要一个选项")
}
values := append([]int(nil), value.Values...)
sort.Ints(values)
for index, item := range values {
if item < 1 || item > 3600 || (index > 0 && values[index-1] == item) {
return BadAuthRequest("视频固定时长选项无效或重复")
}
}
if !containsInt(values, value.Default) {
return BadAuthRequest("视频默认时长必须属于固定时长选项")
}
default:
return BadAuthRequest("视频时长选择方式仅支持范围或固定值")
}
return nil
}
func (s *Service) ValidateTaskCapability(input map[string]any) error {
encoded, err := json.Marshal(input)
if err != nil {
return BadAuthRequest("任务输入格式无效")
}
var taskInput canvasGenerationInput
if err := json.Unmarshal(encoded, &taskInput); err != nil || (taskInput.Mode != "image" && taskInput.Mode != "video") {
return nil
}
channelID := strings.TrimSpace(taskInput.Config.ChannelID)
if channelID == "" {
channelID = systemChannelIDFromBaseURL(taskInput.Config.BaseURL)
}
if channelID == "" {
if taskInput.Mode == "image" {
profile := DefaultImageCapabilityConfig(taskInput.Config.InterfaceType, taskInput.Config.Model)
if taskInput.Config.CapabilityConfig != nil && taskInput.Config.CapabilityConfig.Image != nil {
profile = taskInput.Config.CapabilityConfig.Image
}
return validateImageTask(profile, taskInput)
}
if taskInput.Config.CapabilityConfig == nil || taskInput.Config.CapabilityConfig.Video == nil {
return nil
}
return validateVideoTask(taskInput.Config.CapabilityConfig.Video, taskInput)
}
item, err := s.repo.ChannelModelByKey(channelID, strings.TrimPrefix(strings.TrimSpace(taskInput.Config.Model), "models/"))
if err != nil {
return BadAuthRequest("当前系统渠道模型未配置或已停用")
}
profile, err := DecodeModelCapabilityConfig(item.CapabilityConfigJSON)
if taskInput.Mode == "image" {
if err != nil {
return BadAuthRequest("当前图片模型能力参数无效")
}
imageProfile := DefaultImageCapabilityConfig(string(item.Protocol), item.ModelKey)
if profile != nil && profile.Image != nil {
imageProfile = profile.Image
}
return validateImageTask(imageProfile, taskInput)
}
if err != nil || profile == nil || profile.Video == nil {
return BadAuthRequest("当前视频模型尚未配置能力参数")
}
return validateVideoTask(profile.Video, taskInput)
}
func validateVideoTask(profile *VideoCapabilityConfig, input canvasGenerationInput) error {
if len(input.ReferenceImages) > profile.References.MaxImages || len(input.ReferenceVideos) > profile.References.MaxVideos || len(input.ReferenceAudios) > profile.References.MaxAudios {
return BadAuthRequest("参考素材数量超过当前模型限制")
}
if len(input.ReferenceImages) < profile.References.MinImages {
return BadAuthRequest(fmt.Sprintf("当前视频模型至少需要 %d 张参考图", profile.References.MinImages))
}
for _, media := range input.ReferenceImages {
if profile.References.MaxImageBytes > 0 && media.Bytes > profile.References.MaxImageBytes {
return BadAuthRequest("参考图片文件超过当前模型大小限制")
}
}
for _, media := range input.ReferenceVideos {
if profile.References.MaxVideoBytes > 0 && media.Bytes > profile.References.MaxVideoBytes {
return BadAuthRequest("参考视频文件超过当前模型大小限制")
}
if profile.References.MaxVideoDuration > 0 && media.DurationMs > int64(profile.References.MaxVideoDuration)*1000 {
return BadAuthRequest("参考视频时长超过当前模型限制")
}
}
for _, media := range input.ReferenceAudios {
if profile.References.MaxAudioBytes > 0 && media.Bytes > profile.References.MaxAudioBytes {
return BadAuthRequest("参考音频文件超过当前模型大小限制")
}
if profile.References.MaxAudioDuration > 0 && media.DurationMs > int64(profile.References.MaxAudioDuration)*1000 {
return BadAuthRequest("参考音频时长超过当前模型限制")
}
}
seconds, err := strconv.Atoi(strings.TrimSpace(input.Config.VideoSeconds))
if err != nil || !videoDurationAllowed(profile.Duration, seconds) {
return BadAuthRequest("视频时长不在当前模型支持范围内")
}
if input.Config.Size != "" && !videoRatioAllowed(profile.Ratios, input.Config.Size) {
return BadAuthRequest("画面比例不在当前模型支持范围内")
}
if len(profile.Resolutions) > 0 && !isAutomaticVideoResolution(input.Config.VQuality) && videoResolutionNameRequest(profile, input.Config.VQuality) == "" {
return BadAuthRequest("输出分辨率不在当前模型支持范围内")
}
operation := metadataString(input.Metadata, "videoEditOperation")
if operation == "" {
if len(input.ReferenceImages) > 0 {
operation = "image_to_video"
} else {
operation = profile.DefaultOperation
}
}
if !containsCapabilityString(profile.Operations, operation) {
return BadAuthRequest("当前视频模型不支持该生成模式")
}
return nil
}
func validateImageTask(profile *ImageCapabilityConfig, input canvasGenerationInput) error {
if profile == nil {
return nil
}
modelName := strings.TrimPrefix(strings.ToLower(strings.TrimSpace(input.Config.Model)), "models/")
if input.Config.InterfaceType == string(model.ChannelInterfaceGrokImage) && modelName == "grok-imagine-image-quality" {
const maxPromptBytes = 8000
promptBytes := len(withSystemPrompt(input.Config, input.Prompt))
if promptBytes > maxPromptBytes {
return BadAuthRequest(fmt.Sprintf("Grok 图片完整提示词为 %d UTF-8 字节,超过上游 %d 字节限制。系统不会自动删改;请精简当前输入、连线文本、角色卡、画风或模板内容后重试", promptBytes, maxPromptBytes))
}
}
if len(input.ReferenceImages) > profile.References.MaxImages {
return BadAuthRequest(fmt.Sprintf("当前图片模型最多支持 %d 张参考图", profile.References.MaxImages))
}
for _, media := range input.ReferenceImages {
if profile.References.MaxImageBytes > 0 && media.Bytes > profile.References.MaxImageBytes {
return BadAuthRequest("参考图片文件超过当前模型大小限制")
}
}
if input.Mask != nil && !profile.References.MaskSupported {
return BadAuthRequest("当前图片模型不支持蒙版编辑")
}
if profile.Size.Parameter != "none" && !profile.Size.AllowCustom && strings.TrimSpace(input.Config.Size) != "" && !containsCapabilityString(profile.Size.Values, input.Config.Size) {
return BadAuthRequest("图片尺寸不在当前模型支持范围内")
}
if profile.Size.Parameter == "size" && profile.Size.AllowCustom && strings.HasPrefix(modelName, "gpt-image-2") && !containsCapabilityString(profile.Size.Values, input.Config.Size) {
if err := validateGPTImage2CustomSize(input.Config.Size); err != nil {
return BadAuthRequest(err.Error())
}
}
if profile.Quality.Supported && strings.TrimSpace(input.Config.Quality) != "" && !containsCapabilityString(profile.Quality.Values, input.Config.Quality) {
return BadAuthRequest("图片质量不在当前模型支持范围内")
}
count, err := strconv.Atoi(strings.TrimSpace(input.Config.Count))
if err == nil && count > profile.MaxOutputs {
return BadAuthRequest(fmt.Sprintf("当前图片模型单次最多生成 %d 张", profile.MaxOutputs))
}
return nil
}
func validateGPTImage2CustomSize(value string) error {
value = strings.ToLower(strings.TrimSpace(strings.ReplaceAll(value, "×", "x")))
if value == "" || value == "auto" {
return nil
}
parts := strings.Split(value, "x")
if len(parts) != 2 {
return errors.New("自定义图片尺寸请使用宽x高,例如 3840x1920")
}
width, widthErr := strconv.Atoi(parts[0])
height, heightErr := strconv.Atoi(parts[1])
if widthErr != nil || heightErr != nil || width <= 0 || height <= 0 {
return errors.New("图片尺寸必须是正整数")
}
if width%16 != 0 || height%16 != 0 {
return errors.New("图片尺寸宽高必须是 16 的倍数")
}
if max(width, height) > 3840 {
return errors.New("图片尺寸最长边不能超过 3840px")
}
if max(width, height) > min(width, height)*3 {
return errors.New("图片宽高比不能超过 3:1")
}
pixels := int64(width) * int64(height)
if pixels < 655360 || pixels > 8294400 {
return errors.New("图片总像素需在 655360 到 8294400 之间")
}
return nil
}
func videoDurationAllowed(value VideoDurationConfig, seconds int) bool {
if value.Selection == "enum" {
return containsInt(value.Values, seconds)
}
return seconds >= value.Min && seconds <= value.Max && value.Step > 0 && (seconds-value.Min)%value.Step == 0
}
func videoRatioAllowed(options []string, value string) bool {
value = strings.TrimSpace(strings.ToLower(strings.ReplaceAll(value, "×", "x")))
if containsCapabilityString(options, value) {
return true
}
parts := strings.Split(value, "x")
if len(parts) != 2 {
return false
}
width, widthErr := strconv.ParseFloat(parts[0], 64)
height, heightErr := strconv.ParseFloat(parts[1], 64)
if widthErr != nil || heightErr != nil || width <= 0 || height <= 0 {
return false
}
actual := width / height
for _, option := range options {
candidate := ratioValue(option)
if candidate > 0 && absFloat(candidate-actual)/candidate < 0.01 {
return true
}
}
return false
}
func ratioValue(value string) float64 {
parts := strings.Split(strings.TrimSpace(value), ":")
if len(parts) != 2 {
return 0
}
width, widthErr := strconv.ParseFloat(parts[0], 64)
height, heightErr := strconv.ParseFloat(parts[1], 64)
if widthErr != nil || heightErr != nil || width <= 0 || height <= 0 {
return 0
}
return width / height
}
func normalizeResolution(value string) string {
value = strings.ToLower(strings.TrimSpace(value))
value = strings.TrimSuffix(value, "p")
if value == "2k" {
return "1440p"
}
if value == "4k" {
return "2160p"
}
return value + "p"
}
func containsCapabilityString(values []string, target string) bool {
for _, value := range values {
if strings.EqualFold(strings.TrimSpace(value), strings.TrimSpace(target)) {
return true
}
}
return false
}
func containsInt(values []int, target int) bool {
for _, value := range values {
if value == target {
return true
}
}
return false
}
func absFloat(value float64) float64 {
if value < 0 {
return -value
}
return value
}