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fix: 修复ComfyUI V2模板创建参数解析问题并重构工作流创建

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主要修改：

1. **扩展ComfyUI SDK参数类型支持**
   - 在ParameterType枚举中添加Integer、Float、Image、Audio、Video类型
   - 在ParameterSchema中添加节点映射和媒体文件相关字段
   - 添加step、accept、maxSize、width、height、duration、node_mapping字段
   - 为新字段添加serde默认值支持

2. **修复参数解析问题**
   - 解决comfyui_v2_create_template命令缺少type字段的错误
   - 确保前端传递的参数类型与后端ParameterType枚举匹配
   - 修复r#enum字段的正确使用（用于JSON Schema兼容性）

3. **重构工作流模板创建方式**
   - 将ai_model_face_hair_fix.rs中的create_workflow函数重构为create_workflow_from_json
   - 改为从JSON字符串解析ComfyUIWorkflow，而非手动构建HashMap
   - 提高可维护性和与实际使用场景的一致性

4. **更新相关测试和验证代码**
   - 修复validation.rs中的测试用例，添加新字段的默认值
   - 确保所有ParameterSchema创建都包含完整字段

5. **添加测试数据**
   - 创建test_template_creation.json用于测试参数格式

这些修改解决了前端传递的参数格式与后端期望格式不匹配的问题，
使工作流模板创建功能能够正常工作。
This commit is contained in:
root
2025-08-08 23:10:38 +08:00
parent 824a43f0c3
commit 84081284f7
5 changed files with 466 additions and 344 deletions
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638
cargos/comfyui-sdk/template_hub/ai_model_face_hair_fix.rs
View File

@@ -13,7 +13,7 @@ use std::collections::HashMap;
use serde_json::json;
use crate::types::{
WorkflowTemplateData, TemplateMetadata, ParameterSchema, ParameterType,
ComfyUIWorkflow, ComfyUINode, NodeMeta
ComfyUIWorkflow
};
/// AI Model Face & Hair Detail Fix Template
@@ -52,9 +52,16 @@ fn create_ai_model_face_hair_fix_template() -> WorkflowTemplateData {
r#enum: None,
min: None,
max: None,
step: None,
pattern: None,
items: None,
properties: None,
accept: None,
max_size: None,
width: None,
height: None,
duration: None,
node_mapping: None,
});
parameters.insert("face_prompt".to_string(), ParameterSchema {
@@ -65,9 +72,16 @@ fn create_ai_model_face_hair_fix_template() -> WorkflowTemplateData {
r#enum: None,
min: None,
max: None,
step: None,
pattern: None,
items: None,
properties: None,
accept: None,
max_size: None,
width: None,
height: None,
duration: None,
node_mapping: None,
});
parameters.insert("face_denoise".to_string(), ParameterSchema {
@@ -78,12 +92,19 @@ fn create_ai_model_face_hair_fix_template() -> WorkflowTemplateData {
r#enum: None,
min: None,
max: None,
step: None,
pattern: None,
items: None,
properties: None,
accept: None,
max_size: None,
width: None,
height: None,
duration: None,
node_mapping: None,
});
let workflow = create_workflow();
let workflow = create_workflow_from_json();
WorkflowTemplateData {
metadata,
@@ -92,344 +113,277 @@ fn create_ai_model_face_hair_fix_template() -> WorkflowTemplateData {
}
}
fn create_workflow() -> ComfyUIWorkflow {
let mut workflow = HashMap::new();
// Node 6: 遮罩边缘滑条快速模糊
workflow.insert("6".to_string(), ComfyUINode {
class_type: "EG_ZZ_MHHT".to_string(),
inputs: {
let mut inputs = HashMap::new();
inputs.insert("模糊强度".to_string(), json!(3));
inputs.insert("mask".to_string(), json!(["53", 1]));
inputs
},
_meta: Some(NodeMeta {
title: Some("2🐕遮罩边缘滑条快速模糊".to_string()),
}),
});
// Node 8: Checkpoint加载器
workflow.insert("8".to_string(), ComfyUINode {
class_type: "CheckpointLoaderSimple".to_string(),
inputs: {
let mut inputs = HashMap::new();
inputs.insert("ckpt_name".to_string(), json!("juggernaut_reborn_sd1,5.safetensors"));
inputs
},
_meta: Some(NodeMeta {
title: Some("Checkpoint加载器（简易）".to_string()),
}),
});
// Node 9: CLIP文本编码 (头发)
workflow.insert("9".to_string(), ComfyUINode {
class_type: "CLIPTextEncode".to_string(),
inputs: {
let mut inputs = HashMap::new();
inputs.insert("text".to_string(), json!("Smooth long hair,Hair details, quality hair,Smooth hair"));
inputs.insert("clip".to_string(), json!(["8", 1]));
inputs
},
_meta: Some(NodeMeta {
title: Some("CLIP文本编码".to_string()),
}),
});
// Node 10: CLIP文本编码 (负面头发)
workflow.insert("10".to_string(), ComfyUINode {
class_type: "CLIPTextEncode".to_string(),
inputs: {
let mut inputs = HashMap::new();
inputs.insert("text".to_string(), json!("Frizzy hair, dry hair, split ends,bad quality, poor quality, doll, disfigured, jpg, toy, bad anatomy, missing limbs, missing fingers, 3d, cgi"));
inputs.insert("clip".to_string(), json!(["8", 1]));
inputs
},
_meta: Some(NodeMeta {
title: Some("CLIP文本编码".to_string()),
}),
});
// Node 13: CLIP文本编码 (脸部)
workflow.insert("13".to_string(), ComfyUINode {
class_type: "CLIPTextEncode".to_string(),
inputs: {
let mut inputs = HashMap::new();
inputs.insert("text".to_string(), json!(["59", 0]));
inputs.insert("clip".to_string(), json!(["8", 1]));
inputs
},
_meta: Some(NodeMeta {
title: Some("CLIP文本编码".to_string()),
}),
});
// Node 14: CLIP文本编码 (负面脸部)
workflow.insert("14".to_string(), ComfyUINode {
class_type: "CLIPTextEncode".to_string(),
inputs: {
let mut inputs = HashMap::new();
inputs.insert("text".to_string(), json!("(NSFW:1.2),(worst quality:1.2),(low quality:1.2),(normal quality:1.2),low resolution,watermark,"));
inputs.insert("clip".to_string(), json!(["8", 1]));
inputs
},
_meta: Some(NodeMeta {
title: Some("CLIP文本编码".to_string()),
}),
});
// Node 22: Segformer Ultra V2 (头发)
workflow.insert("22".to_string(), ComfyUINode {
class_type: "LayerMask: SegformerUltraV2".to_string(),
inputs: {
let mut inputs = HashMap::new();
inputs.insert("detail_method".to_string(), json!("VITMatte(local)"));
inputs.insert("detail_erode".to_string(), json!(44));
inputs.insert("detail_dilate".to_string(), json!(6));
inputs.insert("black_point".to_string(), json!(0.030000000000000006));
inputs.insert("white_point".to_string(), json!(0.99));
inputs.insert("process_detail".to_string(), json!(true));
inputs.insert("device".to_string(), json!("cuda"));
inputs.insert("max_megapixels".to_string(), json!(2));
inputs.insert("image".to_string(), json!(["30", 0]));
inputs.insert("segformer_pipeline".to_string(), json!(["28", 0]));
inputs
},
_meta: Some(NodeMeta {
title: Some("LayerMask: Segformer Ultra V2".to_string()),
}),
});
// Node 25: 局部重绘采样器 (头发)
workflow.insert("25".to_string(), ComfyUINode {
class_type: "EG_CYQ_JB".to_string(),
inputs: {
let mut inputs = HashMap::new();
inputs.insert("seed".to_string(), json!(646617836820462i64));
inputs.insert("steps".to_string(), json!(30));
inputs.insert("cfg".to_string(), json!(4.5200000000000005));
inputs.insert("sampler_name".to_string(), json!("dpmpp_2s_ancestral"));
inputs.insert("scheduler".to_string(), json!("karras"));
inputs.insert("denoise".to_string(), json!(0.4));
inputs.insert("重绘模式".to_string(), json!("原图"));
inputs.insert("遮罩延展".to_string(), json!(10));
inputs.insert("仅局部重绘".to_string(), json!(true));
inputs.insert("局部重绘大小".to_string(), json!(768));
inputs.insert("重绘区域扩展".to_string(), json!(50));
inputs.insert("遮罩羽化".to_string(), json!(5));
inputs.insert("TEXT".to_string(), json!("2🐕出品，必出精品"));
inputs.insert("model".to_string(), json!(["8", 0]));
inputs.insert("image".to_string(), json!(["30", 0]));
inputs.insert("vae".to_string(), json!(["8", 2]));
inputs.insert("mask".to_string(), json!(["47", 0]));
inputs.insert("positive".to_string(), json!(["9", 0]));
inputs.insert("negative".to_string(), json!(["10", 0]));
inputs
},
_meta: Some(NodeMeta {
title: Some("2🐕局部重绘采样器".to_string()),
}),
});
// Node 26: 局部重绘采样器 (脸部)
workflow.insert("26".to_string(), ComfyUINode {
class_type: "EG_CYQ_JB".to_string(),
inputs: {
let mut inputs = HashMap::new();
inputs.insert("seed".to_string(), json!(969968724502727i64));
inputs.insert("steps".to_string(), json!(30));
inputs.insert("cfg".to_string(), json!(4.5200000000000005));
inputs.insert("sampler_name".to_string(), json!("dpmpp_2s_ancestral"));
inputs.insert("scheduler".to_string(), json!("karras"));
inputs.insert("denoise".to_string(), json!(["71", 0]));
inputs.insert("重绘模式".to_string(), json!("原图"));
inputs.insert("遮罩延展".to_string(), json!(10));
inputs.insert("仅局部重绘".to_string(), json!(true));
inputs.insert("局部重绘大小".to_string(), json!(768));
inputs.insert("重绘区域扩展".to_string(), json!(50));
inputs.insert("遮罩羽化".to_string(), json!(5));
inputs.insert("TEXT".to_string(), json!("2🐕出品，必出精品"));
inputs.insert("model".to_string(), json!(["8", 0]));
inputs.insert("image".to_string(), json!(["25", 1]));
inputs.insert("vae".to_string(), json!(["8", 2]));
inputs.insert("mask".to_string(), json!(["6", 0]));
inputs.insert("positive".to_string(), json!(["13", 0]));
inputs.insert("negative".to_string(), json!(["14", 0]));
inputs
},
_meta: Some(NodeMeta {
title: Some("2🐕局部重绘采样器".to_string()),
}),
});
// Node 28: Segformer Clothes Pipeline (头发)
workflow.insert("28".to_string(), ComfyUINode {
class_type: "LayerMask: SegformerClothesPipelineLoader".to_string(),
inputs: {
let mut inputs = HashMap::new();
inputs.insert("model".to_string(), json!("segformer_b3_clothes"));
inputs.insert("face".to_string(), json!(false));
inputs.insert("hair".to_string(), json!(true));
inputs.insert("hat".to_string(), json!(false));
inputs.insert("sunglass".to_string(), json!(false));
inputs.insert("left_arm".to_string(), json!(false));
inputs.insert("right_arm".to_string(), json!(false));
inputs.insert("left_leg".to_string(), json!(false));
inputs.insert("right_leg".to_string(), json!(false));
inputs.insert("left_shoe".to_string(), json!(false));
inputs.insert("right_shoe".to_string(), json!(false));
inputs.insert("upper_clothes".to_string(), json!(false));
inputs.insert("skirt".to_string(), json!(false));
inputs.insert("pants".to_string(), json!(false));
inputs.insert("dress".to_string(), json!(false));
inputs.insert("belt".to_string(), json!(false));
inputs.insert("bag".to_string(), json!(false));
inputs.insert("scarf".to_string(), json!(false));
inputs
},
_meta: Some(NodeMeta {
title: Some("LayerMask: Segformer Clothes Pipeline".to_string()),
}),
});
// Node 30: 加载图像
workflow.insert("30".to_string(), ComfyUINode {
class_type: "LoadImage".to_string(),
inputs: {
let mut inputs = HashMap::new();
inputs.insert("image".to_string(), json!("{{input_image}}"));
inputs
},
_meta: Some(NodeMeta {
title: Some("加载图像".to_string()),
}),
});
// Node 44: Mask Fill Holes
workflow.insert("44".to_string(), ComfyUINode {
class_type: "Mask Fill Holes".to_string(),
inputs: {
let mut inputs = HashMap::new();
inputs.insert("masks".to_string(), json!(["22", 1]));
inputs
},
_meta: Some(NodeMeta {
title: Some("Mask Fill Holes".to_string()),
}),
});
// Node 47: Grow Mask With Blur
workflow.insert("47".to_string(), ComfyUINode {
class_type: "GrowMaskWithBlur".to_string(),
inputs: {
let mut inputs = HashMap::new();
inputs.insert("expand".to_string(), json!(5));
inputs.insert("incremental_expandrate".to_string(), json!(5));
inputs.insert("tapered_corners".to_string(), json!(true));
inputs.insert("flip_input".to_string(), json!(false));
inputs.insert("blur_radius".to_string(), json!(9.4));
inputs.insert("lerp_alpha".to_string(), json!(0.9900000000000002));
inputs.insert("decay_factor".to_string(), json!(1));
inputs.insert("fill_holes".to_string(), json!(false));
inputs.insert("mask".to_string(), json!(["44", 0]));
inputs
},
_meta: Some(NodeMeta {
title: Some("Grow Mask With Blur".to_string()),
}),
});
// Node 52: Segformer Clothes Pipeline (脸部)
workflow.insert("52".to_string(), ComfyUINode {
class_type: "LayerMask: SegformerClothesPipelineLoader".to_string(),
inputs: {
let mut inputs = HashMap::new();
inputs.insert("model".to_string(), json!("segformer_b3_clothes"));
inputs.insert("face".to_string(), json!(true));
inputs.insert("hair".to_string(), json!(false));
inputs.insert("hat".to_string(), json!(false));
inputs.insert("sunglass".to_string(), json!(true));
inputs.insert("left_arm".to_string(), json!(false));
inputs.insert("right_arm".to_string(), json!(false));
inputs.insert("left_leg".to_string(), json!(false));
inputs.insert("right_leg".to_string(), json!(false));
inputs.insert("left_shoe".to_string(), json!(false));
inputs.insert("right_shoe".to_string(), json!(false));
inputs.insert("upper_clothes".to_string(), json!(false));
inputs.insert("skirt".to_string(), json!(false));
inputs.insert("pants".to_string(), json!(false));
inputs.insert("dress".to_string(), json!(false));
inputs.insert("belt".to_string(), json!(false));
inputs.insert("bag".to_string(), json!(false));
inputs.insert("scarf".to_string(), json!(false));
inputs
},
_meta: Some(NodeMeta {
title: Some("LayerMask: Segformer Clothes Pipeline".to_string()),
}),
});
// Node 53: Segformer Ultra V2 (脸部)
workflow.insert("53".to_string(), ComfyUINode {
class_type: "LayerMask: SegformerUltraV2".to_string(),
inputs: {
let mut inputs = HashMap::new();
inputs.insert("detail_method".to_string(), json!("VITMatte(local)"));
inputs.insert("detail_erode".to_string(), json!(6));
inputs.insert("detail_dilate".to_string(), json!(4));
inputs.insert("black_point".to_string(), json!(0.01));
inputs.insert("white_point".to_string(), json!(0.99));
inputs.insert("process_detail".to_string(), json!(false));
inputs.insert("device".to_string(), json!("cuda"));
inputs.insert("max_megapixels".to_string(), json!(2));
inputs.insert("image".to_string(), json!(["30", 0]));
inputs.insert("segformer_pipeline".to_string(), json!(["52", 0]));
inputs
},
_meta: Some(NodeMeta {
title: Some("LayerMask: Segformer Ultra V2".to_string()),
}),
});
// Node 58: 保存图像
workflow.insert("58".to_string(), ComfyUINode {
class_type: "SaveImage".to_string(),
inputs: {
let mut inputs = HashMap::new();
inputs.insert("filename_prefix".to_string(), json!("ComfyUI"));
inputs.insert("images".to_string(), json!(["26", 1]));
inputs
},
_meta: Some(NodeMeta {
title: Some("保存图像".to_string()),
}),
});
// Node 59: String (脸部提示词)
workflow.insert("59".to_string(), ComfyUINode {
class_type: "String".to_string(),
inputs: {
let mut inputs = HashMap::new();
inputs.insert("String".to_string(), json!("A girl, slim figure, oval face, beauty, Pink and greasy lips，{{face_prompt}}"));
inputs
},
_meta: Some(NodeMeta {
title: Some("String".to_string()),
}),
});
// Node 71: Float (脸部去噪强度)
workflow.insert("71".to_string(), ComfyUINode {
class_type: "Float".to_string(),
inputs: {
let mut inputs = HashMap::new();
inputs.insert("Number".to_string(), json!("{{face_denoise}}"));
inputs
},
_meta: Some(NodeMeta {
title: Some("Float".to_string()),
}),
});
workflow
fn create_workflow_from_json() -> ComfyUIWorkflow {
let workflow_json = r#"
{
"6": {
"inputs": {
"模糊强度": 3,
"mask": ["53", 1]
},
"class_type": "EG_ZZ_MHHT",
"_meta": {
"title": "2🐕遮罩边缘滑条快速模糊"
}
},
"8": {
"inputs": {
"ckpt_name": "juggernaut_reborn_sd1,5.safetensors"
},
"class_type": "CheckpointLoaderSimple",
"_meta": {
"title": "Checkpoint加载器（简易）"
}
},
"9": {
"inputs": {
"text": "Smooth long hair,Hair details, quality hair,Smooth hair",
"clip": ["8", 1]
},
"class_type": "CLIPTextEncode",
"_meta": {
"title": "CLIP文本编码"
}
},
"10": {
"inputs": {
"text": "Frizzy hair, dry hair, split ends,bad quality, poor quality, doll, disfigured, jpg, toy, bad anatomy, missing limbs, missing fingers, 3d, cgi",
"clip": ["8", 1]
},
"class_type": "CLIPTextEncode",
"_meta": {
"title": "CLIP文本编码"
}
},
"13": {
"inputs": {
"text": ["59", 0],
"clip": ["8", 1]
},
"class_type": "CLIPTextEncode",
"_meta": {
"title": "CLIP文本编码"
}
},
"14": {
"inputs": {
"text": "(NSFW:1.2),(worst quality:1.2),(low quality:1.2),(normal quality:1.2),low resolution,watermark,",
"clip": ["8", 1]
},
"class_type": "CLIPTextEncode",
"_meta": {
"title": "CLIP文本编码"
}
},
"22": {
"inputs": {
"detail_method": "VITMatte(local)",
"detail_erode": 44,
"detail_dilate": 6,
"black_point": 0.030000000000000006,
"white_point": 0.99,
"process_detail": true,
"device": "cuda",
"max_megapixels": 2,
"image": ["30", 0],
"segformer_pipeline": ["28", 0]
},
"class_type": "LayerMask: SegformerUltraV2",
"_meta": {
"title": "LayerMask: Segformer Ultra V2"
}
},
"25": {
"inputs": {
"seed": 646617836820462,
"steps": 30,
"cfg": 4.5200000000000005,
"sampler_name": "dpmpp_2s_ancestral",
"scheduler": "karras",
"denoise": 0.4,
"重绘模式": "原图",
"遮罩延展": 10,
"仅局部重绘": true,
"局部重绘大小": 768,
"重绘区域扩展": 50,
"遮罩羽化": 5,
"TEXT": "2🐕出品，必出精品",
"model": ["8", 0],
"image": ["30", 0],
"vae": ["8", 2],
"mask": ["47", 0],
"positive": ["9", 0],
"negative": ["10", 0]
},
"class_type": "EG_CYQ_JB",
"_meta": {
"title": "2🐕局部重绘采样器"
}
},
"26": {
"inputs": {
"seed": 969968724502727,
"steps": 30,
"cfg": 4.5200000000000005,
"sampler_name": "dpmpp_2s_ancestral",
"scheduler": "karras",
"denoise": ["71", 0],
"重绘模式": "原图",
"遮罩延展": 10,
"仅局部重绘": true,
"局部重绘大小": 768,
"重绘区域扩展": 50,
"遮罩羽化": 5,
"TEXT": "2🐕出品，必出精品",
"model": ["8", 0],
"image": ["25", 1],
"vae": ["8", 2],
"mask": ["6", 0],
"positive": ["13", 0],
"negative": ["14", 0]
},
"class_type": "EG_CYQ_JB",
"_meta": {
"title": "2🐕局部重绘采样器"
}
},
"28": {
"inputs": {
"model": "segformer_b3_clothes",
"face": false,
"hair": true,
"hat": false,
"sunglass": false,
"left_arm": false,
"right_arm": false,
"left_leg": false,
"right_leg": false,
"left_shoe": false,
"right_shoe": false,
"upper_clothes": false,
"skirt": false,
"pants": false,
"dress": false,
"belt": false,
"bag": false,
"scarf": false
},
"class_type": "LayerMask: SegformerClothesPipelineLoader",
"_meta": {
"title": "LayerMask: Segformer Clothes Pipeline"
}
},
"30": {
"inputs": {
"image": "{{input_image}}"
},
"class_type": "LoadImage",
"_meta": {
"title": "加载图像"
}
},
"44": {
"inputs": {
"masks": ["22", 1]
},
"class_type": "Mask Fill Holes",
"_meta": {
"title": "Mask Fill Holes"
}
},
"47": {
"inputs": {
"expand": 5,
"incremental_expandrate": 5,
"tapered_corners": true,
"flip_input": false,
"blur_radius": 9.4,
"lerp_alpha": 0.9900000000000002,
"decay_factor": 1,
"fill_holes": false,
"mask": ["44", 0]
},
"class_type": "GrowMaskWithBlur",
"_meta": {
"title": "Grow Mask With Blur"
}
},
"52": {
"inputs": {
"model": "segformer_b3_clothes",
"face": true,
"hair": false,
"hat": false,
"sunglass": true,
"left_arm": false,
"right_arm": false,
"left_leg": false,
"right_leg": false,
"left_shoe": false,
"right_shoe": false,
"upper_clothes": false,
"skirt": false,
"pants": false,
"dress": false,
"belt": false,
"bag": false,
"scarf": false
},
"class_type": "LayerMask: SegformerClothesPipelineLoader",
"_meta": {
"title": "LayerMask: Segformer Clothes Pipeline"
}
},
"53": {
"inputs": {
"detail_method": "VITMatte(local)",
"detail_erode": 6,
"detail_dilate": 4,
"black_point": 0.01,
"white_point": 0.99,
"process_detail": false,
"device": "cuda",
"max_megapixels": 2,
"image": ["30", 0],
"segformer_pipeline": ["52", 0]
},
"class_type": "LayerMask: SegformerUltraV2",
"_meta": {
"title": "LayerMask: Segformer Ultra V2"
}
},
"58": {
"inputs": {
"filename_prefix": "ComfyUI",
"images": ["26", 1]
},
"class_type": "SaveImage",
"_meta": {
"title": "保存图像"
}
},
"59": {
"inputs": {
"String": "{{face_prompt}}"
},
"class_type": "String",
"_meta": {
"title": "String"
}
},
"71": {
"inputs": {
"Number": "{{face_denoise}}"
},
"class_type": "Float",
"_meta": {
"title": "Float"
}
}
}
"#;
// 解析 JSON 字符串为 ComfyUIWorkflow
serde_json::from_str(workflow_json)
.expect("Failed to parse workflow JSON")
}

62
cargos/comfyui-sdk/types/mod.rs
View File

@@ -39,12 +39,23 @@ pub enum ParameterType {
Boolean,
Array,
Object,
Integer,
Float,
Image,
Audio,
Video,
}
/// Node mapping configuration for parameter-to-workflow binding
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct NodeMapping {
pub node_id: String,
pub input_field: String,
}
/// Parameter schema definition
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct ParameterSchema {
#[serde(rename = "type")]
pub param_type: ParameterType,
#[serde(skip_serializing_if = "Option::is_none")]
pub required: Option<bool>,
@@ -59,11 +70,35 @@ pub struct ParameterSchema {
#[serde(skip_serializing_if = "Option::is_none")]
pub max: Option<f64>,
#[serde(skip_serializing_if = "Option::is_none")]
#[serde(default)]
pub step: Option<f64>,
#[serde(skip_serializing_if = "Option::is_none")]
pub pattern: Option<String>,
#[serde(skip_serializing_if = "Option::is_none")]
pub items: Option<Box<ParameterSchema>>,
#[serde(skip_serializing_if = "Option::is_none")]
pub properties: Option<HashMap<String, ParameterSchema>>,
// Media file related properties
#[serde(skip_serializing_if = "Option::is_none")]
#[serde(default)]
pub accept: Option<String>,
#[serde(skip_serializing_if = "Option::is_none")]
#[serde(rename = "maxSize")]
#[serde(default)]
pub max_size: Option<u64>,
#[serde(skip_serializing_if = "Option::is_none")]
#[serde(default)]
pub width: Option<u32>,
#[serde(skip_serializing_if = "Option::is_none")]
#[serde(default)]
pub height: Option<u32>,
#[serde(skip_serializing_if = "Option::is_none")]
#[serde(default)]
pub duration: Option<f64>,
// Workflow node mapping
#[serde(skip_serializing_if = "Option::is_none")]
#[serde(default)]
pub node_mapping: Option<NodeMapping>,
}
/// Template metadata
@@ -190,3 +225,28 @@ impl ValidationError {
}
}
}
impl ParameterSchema {
/// Creates a new ParameterSchema with the given type and default values for other fields
pub fn new(param_type: ParameterType) -> Self {
Self {
param_type,
required: None,
default: None,
description: None,
r#enum: None,
min: None,
max: None,
step: None,
pattern: None,
items: None,
properties: None,
accept: None,
max_size: None,
width: None,
height: None,
duration: None,
node_mapping: None,
}
}
}

14
cargos/comfyui-sdk/utils/validation.rs
View File

@@ -235,9 +235,16 @@ mod tests {
r#enum: None,
min: None,
max: None,
step: None,
pattern: None,
items: None,
properties: None,
accept: None,
max_size: None,
width: None,
height: None,
duration: None,
node_mapping: None,
});
let parameters = HashMap::new();
@@ -259,9 +266,16 @@ mod tests {
r#enum: None,
min: Some(3.0),
max: Some(10.0),
step: None,
pattern: None,
items: None,
properties: None,
accept: None,
max_size: None,
width: None,
height: None,
duration: None,
node_mapping: None,
});
let mut parameters = HashMap::new();