devsapp · rsonghuster · Aug 15, 2025 · Aug 15, 2025
diff --git a/example/s-pipeline.yaml b/example/s-pipeline.yaml
@@ -0,0 +1,61 @@
+edition: 3.0.0
+name: ai-model-app
+access: quanxi
+
+resources:
+  modelDemo:
+    component: fc3
+    props:
+      region: cn-shanghai
+      runtime: custom-container
+      functionName: ${env('fc_component_function_name', 'ai-model-test-qwen-pipeline')}  
+      description: model service from functionai test
+      logConfig: auto
+      vpcConfig: auto
+      nasConfig: auto
+      instanceConcurrency: 20
+      cpu: 8
+      memorySize: 65536
+      diskSize: 10240
+      timeout: 300
+      gpuConfig:
+        gpuMemorySize: 49152
+        gpuType: fc.gpu.ada.1
+      customContainerConfig:
+        image: >-
+          serverless-registry.cn-hangzhou.cr.aliyuncs.com/functionai/modelscope:ubuntu22.04-cuda12.1.0-py311-torch2.3.1-tf2.16.1-1.26.0
+        port: 9000
+        entrypoint:
+          - sh
+          - '-c'
+          - >-
+            mkdir -p /.function_model && curl -fL --retry 3 -o
+            /.function_model/server.py 
+            https://images.devsapp.cn/modelscope/server.py &&  MODEL_ID="${env('MODEL_ID', 'iic/SenseVoiceSmall')}"  MODEL_VERSION="${env('MODEL_VERSION', 'master')}" MODEL_PATH="/mnt/${env('fc_component_function_name', 'ai-model-test-qwen-pipeline')} /${env('MODEL_ID', 'iic/SenseVoiceSmall')}"  TASK="${env('TASK')}" python3 -u /.function_model/server.py 
+      triggers: # 默认，用户可能关注的是开启 authType 是 bear token
+        - triggerConfig:
+            methods:
+              - GET
+              - POST
+              - PUT
+              - DELETE
+            authType: anonymous
+            disableURLInternet: false
+          triggerName: httpTrigger
+          description: ''
+          qualifier: LATEST
+          triggerType: http
+      provisionConfig:
+        target: 1
+        alwaysAllocateCPU: false
+        alwaysAllocateGPU: false
+        mode: sync
+
+      supplement:
+        modelConfig:
+          source: modelscope
+          id: ${env('MODEL_ID', 'iic/SenseVoiceSmall')}
+          # id: Qwen/Qwen3-14B
+          storage: nas
+          role: acs:ram::${config('AccountID')}:role/aliyundevsdefaultrole
+
diff --git a/example/s.yaml b/example/s.yaml
@@ -4,7 +4,7 @@ access: quanxi
 
 resources:
   modelDemo:
-    component: fc3@dev
+    component: fc3
     props:
       region: cn-shanghai
       runtime: custom-container

diff --git a/example/test_models.sh → example/test_models_VLLM.sh b/example/test_models.sh → example/test_models_VLLM.sh
diff --git a/example/test_models_pipeline.sh b/example/test_models_pipeline.sh
@@ -0,0 +1,120 @@
+#!/bin/bash
+
+# 定义日志文件
+LOG_FILE="test_models.log"
+
+# 清空或创建日志文件
+> "$LOG_FILE"
+
+# 日志记录函数
+log() {
+    echo "$(date '+%Y-%m-%d %H:%M:%S') - $1" | tee -a "$LOG_FILE"
+}
+
+# 定义模型列表 (每个元素包含model_version, model_id, task)
+MODEL_LIST=(
+    '{"model_version": "v2.4.0", "model_id": "iic/cv_convnextTiny_ocr-recognition-general_damo", "task": "ocr-recognition", "input":{"image":"http://modelscope.oss-cn-beijing.aliyuncs.com/demo/images/image_ocr_recognition.jpg"}'
+    '{"model_version": "master", "model_id": "iic/SenseVoiceSmall", "task": "auto-speech-recognition", "input": "https://isv-data.oss-cn-hangzhou.aliyuncs.com/ics/MaaS/ASR/test_audio/asr_example_zh.wav"}'
+)
+
+# 检查yaml文件是否存在
+YAML_FILE="s.yaml"
+if [ ! -f "$YAML_FILE" ]; then
+    log "Error: $YAML_FILE not found!"
+    exit 1
+fi
+
+# 遍历每个model_id
+for MODEL_INFO in "${MODEL_LIST[@]}"; do
+    log "========================================"
+    log "Testing model: $MODEL_INFO"
+    log "========================================"
+    # 从JSON对象中提取字段 (使用 jq)
+    export MODEL_VERSION=$(echo "$MODEL_INFO" | grep -o '"model_version": *"[^"]*' | awk -F'"' '{print $4}')
+    export MODEL_ID=$(echo "$MODEL_INFO" | grep -o '"model_id": *"[^"]*' | awk -F'"' '{print $4}')
+    export TASK=$(echo "$MODEL_INFO" | grep -o '"task": *"[^"]*' | awk -F'"' '{print $4}')
+    INPUT=$(echo "$MODEL_INFO" | grep -o '"input": *"[^"]*' | awk -F'"' '{print $4}')
+
+    # 生成随机函数名
+    RANDOM_STRING=$(openssl rand -hex 10)
+    export fc_component_function_name=ai-model-qwen-$RANDOM_STRING
+    export NEW_MODEL_SERVICE_CLIENT_CONNECT_TIMEOUT=10000
+
+    # 下载模型
+    log "Downloading model..."
+    DOWNLOAD_OUTPUT=$(s model download -t s-pipeline.yaml 2>&1)
+    echo "$DOWNLOAD_OUTPUT" >> "$LOG_FILE"
+    echo "$DOWNLOAD_OUTPUT"
+    if echo "$DOWNLOAD_OUTPUT" | grep -q "Error"; then
+        log "Failed to download model: $MODEL_ID"
+        continue
+    fi
+
+    # 部署服务
+    log "Deploying..."
+    DEPLOY_OUTPUT=$(s deploy -t s-pipeline.yaml -y 2>&1)
+    echo "$DEPLOY_OUTPUT" >> "$LOG_FILE"
+    echo "$DEPLOY_OUTPUT"
+
+    # 检查部署是否成功
+    if echo "$DEPLOY_OUTPUT" | grep -q "state:.*Active"; then
+        log "Deployment successful for model: $MODEL_ID"
+    else
+        log "Deployment failed for model: $MODEL_ID"
+        # 清理资源
+        REMOVE_OUTPUT=$(s model remove -t s-pipeline.yaml -y 2>&1)
+        echo "$REMOVE_OUTPUT" >> "$LOG_FILE"
+        echo "$REMOVE_OUTPUT"
+        REMOVE_OUTPUT=$(s remove -t s-pipeline.yaml -y 2>&1)
+        echo "$REMOVE_OUTPUT" >> "$LOG_FILE"
+        echo "$REMOVE_OUTPUT"
+        continue
+    fi
+
+    # 提取system_url
+    SYSTEM_URL=$(echo "$DEPLOY_OUTPUT" | grep "system_url:" | sed 's/.*system_url: *//' | tr -d ' "[:cntrl:]')
+    if [ -z $SYSTEM_URL ]; then
+        log "Failed to extract system_url for model: $MODEL_ID"
+        # 清理资源
+        REMOVE_OUTPUT=$(s model remove -y 2>&1)
+        echo "$REMOVE_OUTPUT" >> "$LOG_FILE"
+        echo "$REMOVE_OUTPUT"
+        REMOVE_OUTPUT=$(s remove -y 2>&1)
+        echo "$REMOVE_OUTPUT" >> "$LOG_FILE"
+        echo "$REMOVE_OUTPUT"
+        continue
+    fi
+    log "Extracted system_url: $SYSTEM_URL"
+
+    # 发送测试请求
+    log "Sending test request..."
+    CURL_OUTPUT=$(curl -v -d '{"input":$INPUT}' $SYSTEM_URL 2>&1)
+
+    echo "$CURL_OUTPUT" >> "$LOG_FILE"
+    echo "$CURL_OUTPUT"
+
+    # 检查curl请求是否成功
+    if echo "$CURL_OUTPUT" | grep -q '"object":"chat.completion"'; then
+        log "Model test successful for: $MODEL_ID"
+        # 提取并显示模型回复内容
+        RESPONSE_CONTENT=$(echo "$CURL_OUTPUT" | sed -n 's/.*"text":"\([^"]*\)".*/\1/p' | sed 's/\\n/\n/g' | sed 's/\\t/\t/g')
+        log "Model response: $RESPONSE_CONTENT"
+    else
+        log "Model test failed for: $MODEL_ID"
+    fi
+
+    # 清理资源
+    log "Removing resources..."
+    REMOVE_OUTPUT=$(s model remove -y 2>&1)
+    echo "$REMOVE_OUTPUT" >> "$LOG_FILE"
+    echo "$REMOVE_OUTPUT"
+    REMOVE_OUTPUT=$(s remove -y 2>&1)
+    echo "$REMOVE_OUTPUT" >> "$LOG_FILE"
+    echo "$REMOVE_OUTPUT"
+
+    log ""
+    log "Finished testing model: $MODEL_ID"
+    log ""
+done
+
+log "All models tested."
diff --git a/src/subCommands/deploy/impl/function.ts b/src/subCommands/deploy/impl/function.ts
@@ -402,7 +402,7 @@ nasConfig:
   userId: 0
   mountPoints:
     - serverAddr: ${mountTargetDomain}:/${functionName}${isEmpty(modelConfig) ? '' : '/' + modelConfig.id}
-      mountDir: /mnt/${functionName}${isEmpty(modelConfig) ? '' : '/' + modelConfig.id}
+      mountDir: /mnt/${functionName}
       enableTLS: false\n`),
         );
         this.createResource.nas = { mountTargetDomain, fileSystemId };
@@ -412,7 +412,7 @@ nasConfig:
           mountPoints: [
             {
               serverAddr: `${mountTargetDomain}:/${functionName}${isEmpty(modelConfig) ? '' : '/' + modelConfig.id}`,
-              mountDir: `/mnt/${functionName}${isEmpty(modelConfig) ? '' : '/' + modelConfig.id}`,
+              mountDir: `/mnt/${functionName}`,
               enableTLS: false,
             },
           ],

diff --git a/src/subCommands/model/index.ts b/src/subCommands/model/index.ts
@@ -14,7 +14,7 @@ import assert from 'assert';
 import { sleep } from '../../utils';
 
 export const NEW_MODEL_SERVICE_CLIENT_CONNECT_TIMEOUT: number =
-  parseInt(process.env.NEW_MODEL_SERVICE_CLIENT_CONNECT_TIMEOUT as string, 10) || 5 * 1000;
+  parseInt(process.env.NEW_MODEL_SERVICE_CLIENT_CONNECT_TIMEOUT as string, 10) || 10 * 1000;
 export const NEW_MODEL_SERVICE_CLIENT_READ_TIMEOUT: number =
   parseInt(process.env.NEW_MODEL_SERVICE_CLIENT_READ_TIMEOUT as string, 10) || 86400 * 1000;
 export const MODEL_DOWNLOAD_TIMEOUT: number =
@@ -111,7 +111,7 @@ groupId: 0
 userId: 0
 mountPoints:
   - serverAddr: ${mountTargetDomain}:/${functionName}/${supplement.modelConfig.id}
-    mountDir: /mnt/${functionName}/${supplement.modelConfig.id}
+    mountDir: /mnt/${functionName}
     enableTLS: false\n`),
         );
         this.createResource.nas = { mountTargetDomain, fileSystemId };
@@ -121,7 +121,7 @@ mountPoints:
           mountPoints: [
             {
               serverAddr: `${mountTargetDomain}:/${functionName}/${supplement.modelConfig.id}`,
-              mountDir: `/mnt/${functionName}/${supplement.modelConfig.id}`,
+              mountDir: `/mnt/${functionName}`,
               enableTLS: false,
             },
           ],