请求参数 表1 请求参数列表 参数名称 是否必选 参数类型 描述 graphName 是 str 参数解释： 工作流名称 约束限制： 名称必须以字母或数字开头，只能由字母、数字、下划线和中划线组成，长度小于等于64个字符，且不能重名。 默认取值： 无 templateName 是 str 参数解释： 工作流模板的名称 约束限制： 名称必须以字母或数字开头，只能由字母、数字、下划线和中划线组成，长度小于等于64个字符，且不能重名。 默认取值： 无 description 否 str 参数解释： 工作流的描述 约束限制： 长度最小为0，最长为256，可以是数字、大小写字母以及英文的逗号，句号，冒号，中划线，下划线，空格 默认取值： 无 agency 是 str 参数解释： 委托名，用于OBS服务能够访问函数服务 约束限制： agency必须是赋予OBS服务有函数服务访问权限。 默认取值： 无 parameters 否 Array Input Json结构体 结构体说明 参数解释： 工作流中用户可修改参数列表 取值范围： 详见结构体说明

返回结果 表2 返回结果 类型 说明 GetResult 参数解释： SDK公共结果对象。 表3 GetResult 参数名称 参数类型 描述 status int 参数解释： HTTP状态码。 取值范围： 状态码是一组从2xx（成功）到4xx或5xx（错误）的数字代码，状态码表示了请求响应的状态。完整的状态码列表请参见状态码。 默认取值： 无 reason str 参数解释： HTTP文本描述。 默认取值： 无 errorCode str 参数解释： OBS服务端错误码，当status参数小于300时为空。 默认取值： 无 errorMessage str 参数解释： OBS服务端错误描述，当status参数小于300时为空。 默认取值： 无 requestId str 参数解释： OBS服务端返回的请求ID。 默认取值： 无 indicator str 参数解释： OBS服务端返回的错误定位码。 默认取值： 无 hostId str 参数解释： 请求的服务端ID，当status参数小于300时为空。 默认取值： 无 resource str 参数解释： 发生错误时相关的桶或对象，当status参数小于300时为空。 默认取值： 无 header list 参数解释： 响应消息头列表，由多个元组构成。每个元组均包含两个元素，代表响应头的键值对。 默认取值： 无 body object 参数解释： 操作成功后的结果数据，当status大于300时为空。该值根据调用接口的不同而不同，参见“桶相关接口”章节和“对象相关接口”章节的详细描述。 默认取值： 无 表4 返回结果 GetResult.body类型 说明 表5 参数解释： 响应结果，详见表5 表5 CreateWorkflowResponse 参数名称 参数类型 描述 graphName str 参数解释： 工作流名称 默认取值： 无 graphUrn str 参数解释： 工作流的URN 默认取值： 无 createdAt str 参数解释： 工作流的创建时间 默认取值： 无

请求示例 创建Workflow工作流。设置工作流名称为“graph-test-has-condition-step”。 POST https://{endpoint}/v2/{project_id}/workflows { "name" : "graph-test-has-condition-step", "description" : "", "workspace_id" : "0", "steps" : [ { "name" : "condition_step_test", "title" : "condition_step_test", "description" : "", "type" : "condition", "conditions" : [ { "type" : "==", "left" : "$ref/parameters/is_true", "right" : true } ], "if_then_steps" : [ "training_job1" ], "else_then_steps" : [ "training_job2" ], "policy" : { } }, { "name" : "training_job1", "title" : "labeling", "description" : "", "type" : "job", "inputs" : [ { "name" : "data_url", "type" : "obs", "data" : "$ref/data/a2ff296da618452daa8243399f06db8e" } ], "outputs" : [ { "name" : "train_url", "type" : "obs", "config" : { "obs_url" : "/test-lh/test-metrics/" } }, { "name" : "service-link", "type" : "service_content", "config" : { "config_file" : "$ref/parameters/service_config1" } } ], "properties" : { "algorithm" : { "id" : "21ef85a8-5e40-4618-95ee-aa48ec224b43", "parameters" : [ ] }, "kind" : "job", "metadata" : { "name" : "workflow-b0b9fa4c06254b2ebb0e48ba1f7a916c" }, "spec" : { "resource" : { "flavor_id" : "$ref/parameters/train_spec", "node_count" : 1, "policy" : "regular" } } }, "depend_steps" : [ "condition_step_test" ], "policy" : { } }, { "name" : "training_job2", "title" : "labeling", "description" : "", "type" : "job", "inputs" : [ { "name" : "data_url", "type" : "obs", "data" : "$ref/data/f78e46676a454ccdacb9907f589f8d67" } ], "outputs" : [ { "name" : "train_url", "type" : "obs", "config" : { "obs_url" : "/test-lh/test-metrics/" } }, { "name" : "service-link", "type" : "service_content", "config" : { "config_file" : "$ref/parameters/service_config2" } } ], "properties" : { "algorithm" : { "id" : "21ef85a8-5e40-4618-95ee-aa48ec224b43", "parameters" : [ ] }, "kind" : "job", "metadata" : { "name" : "workflow-4a4317eb49ad4370bd087e6b726d84cf" }, "spec" : { "resource" : { "flavor_id" : "$ref/parameters/train_spec", "node_count" : 1, "policy" : "regular" } } }, "depend_steps" : [ "condition_step_test" ], "policy" : { } }, { "name" : "training_job3", "title" : "labeling", "description" : "", "type" : "job", "inputs" : [ { "name" : "data_url", "type" : "obs", "data" : "$ref/data/dee65054c96b4bf3b7ac98c0709f9ae0" } ], "outputs" : [ { "name" : "train_url", "type" : "obs", "config" : { "obs_url" : "/test-lh/test-metrics/" } }, { "name" : "service-link", "type" : "service_content", "config" : { "config_file" : "$ref/parameters/service_config3" } } ], "properties" : { "algorithm" : { "id" : "21ef85a8-5e40-4618-95ee-aa48ec224b43", "parameters" : [ ] }, "kind" : "job", "metadata" : { "name" : "workflow-3039303b3ae14f3e9eed416ba6361b1f" }, "spec" : { "resource" : { "flavor_id" : "$ref/parameters/train_spec", "node_count" : 1, "policy" : "regular" } } }, "depend_steps" : [ "training_job1", "training_job2" ], "policy" : { } } ], "labels" : [ "subgraph" ], "data" : [ { "name" : "a2ff296da618452daa8243399f06db8e", "type" : "obs", "value" : { "obs_url" : "/test-lh/test-metrics/" }, "used_steps" : [ "training_job1" ] }, { "name" : "f78e46676a454ccdacb9907f589f8d67", "type" : "obs", "value" : { "obs_url" : "/test-lh/test-metrics/" }, "used_steps" : [ "training_job2" ] }, { "name" : "dee65054c96b4bf3b7ac98c0709f9ae0", "type" : "obs", "value" : { "obs_url" : "/test-lh/test-metrics/" }, "used_steps" : [ "training_job3" ] } ], "parameters" : [ { "name" : "is_true", "type" : "bool", "delay" : true, "value" : true, "used_steps" : [ "condition_step_test" ] }, { "name" : "train_spec", "type" : "str", "format" : "flavor", "description" : "training specification", "default" : "modelarts.vm.cpu.8u", "used_steps" : [ "training_job1", "training_job2", "training_job3" ] }, { "name" : "service_config1", "type" : "str", "default" : "/test-lh/test-metrics/metrics.json", "used_steps" : [ "training_job1" ] }, { "name" : "service_config2", "type" : "str", "default" : "/test-lh/test-metrics/metrics.json", "used_steps" : [ "training_job2" ] }, { "name" : "service_config3", "type" : "str", "default" : "/test-lh/test-metrics/metrics.json", "used_steps" : [ "training_job3" ] } ] }

响应示例 状态码： 201 OK { "name" : "graph-test-has-condition-step", "description" : "", "workspace_id" : "0", "steps" : [ { "name" : "condition_step_test", "title" : "condition_step_test", "description" : "", "type" : "condition", "conditions" : [ { "type" : "==", "left" : "$ref/parameters/is_true", "right" : true } ], "if_then_steps" : [ "training_job1" ], "else_then_steps" : [ "training_job2" ], "policy" : { } }, { "name" : "training_job1", "title" : "labeling", "description" : "", "type" : "job", "inputs" : [ { "name" : "data_url", "type" : "obs", "data" : "$ref/data/a2ff296da618452daa8243399f06db8e" } ], "outputs" : [ { "name" : "train_url", "type" : "obs", "config" : { "obs_url" : "/test-lh/test-metrics/" } }, { "name" : "service-link", "type" : "service_content", "config" : { "config_file" : "$ref/parameters/service_config1" } } ], "properties" : { "algorithm" : { "id" : "21ef85a8-5e40-4618-95ee-aa48ec224b43", "parameters" : [ ] }, "kind" : "job", "metadata" : { "name" : "workflow-b0b9fa4c06254b2ebb0e48ba1f7a916c" }, "spec" : { "resource" : { "flavor_id" : "$ref/parameters/train_spec", "node_count" : 1, "policy" : "regular" } } }, "depend_steps" : [ "condition_step_test" ], "policy" : { } }, { "name" : "training_job2", "title" : "labeling", "description" : "", "type" : "job", "inputs" : [ { "name" : "data_url", "type" : "obs", "data" : "$ref/data/f78e46676a454ccdacb9907f589f8d67" } ], "outputs" : [ { "name" : "train_url", "type" : "obs", "config" : { "obs_url" : "/test-lh/test-metrics/" } }, { "name" : "service-link", "type" : "service_content", "config" : { "config_file" : "$ref/parameters/service_config2" } } ], "properties" : { "algorithm" : { "id" : "21ef85a8-5e40-4618-95ee-aa48ec224b43", "parameters" : [ ] }, "kind" : "job", "metadata" : { "name" : "workflow-4a4317eb49ad4370bd087e6b726d84cf" }, "spec" : { "resource" : { "flavor_id" : "$ref/parameters/train_spec", "node_count" : 1, "policy" : "regular" } } }, "depend_steps" : [ "condition_step_test" ], "policy" : { } }, { "name" : "training_job3", "title" : "labeling", "description" : "", "type" : "job", "inputs" : [ { "name" : "data_url", "type" : "obs", "data" : "$ref/data/dee65054c96b4bf3b7ac98c0709f9ae0" } ], "outputs" : [ { "name" : "train_url", "type" : "obs", "config" : { "obs_url" : "/test-lh/test-metrics/" } }, { "name" : "service-link", "type" : "service_content", "config" : { "config_file" : "$ref/parameters/service_config3" } } ], "properties" : { "algorithm" : { "id" : "21ef85a8-5e40-4618-95ee-aa48ec224b43", "parameters" : [ ] }, "kind" : "job", "metadata" : { "name" : "workflow-3039303b3ae14f3e9eed416ba6361b1f" }, "spec" : { "resource" : { "flavor_id" : "$ref/parameters/train_spec", "node_count" : 1, "policy" : "regular" } } }, "depend_steps" : [ "training_job1", "training_job2" ], "policy" : { } } ], "labels" : [ "subgraph" ], "data" : [ { "name" : "a2ff296da618452daa8243399f06db8e", "type" : "obs", "value" : { "obs_url" : "/test-lh/test-metrics/" }, "used_steps" : [ "training_job1" ] }, { "name" : "f78e46676a454ccdacb9907f589f8d67", "type" : "obs", "value" : { "obs_url" : "/test-lh/test-metrics/" }, "used_steps" : [ "training_job2" ] }, { "name" : "dee65054c96b4bf3b7ac98c0709f9ae0", "type" : "obs", "value" : { "obs_url" : "/test-lh/test-metrics/" }, "used_steps" : [ "training_job3" ] } ], "parameters" : [ { "name" : "is_true", "type" : "bool", "delay" : true, "value" : true, "used_steps" : [ "condition_step_test" ] }, { "name" : "train_spec", "type" : "str", "format" : "flavor", "description" : "training specificaiton", "default" : "modelarts.vm.cpu.8u", "used_steps" : [ "training_job1", "training_job2", "training_job3" ] }, { "name" : "service_config1", "type" : "str", "default" : "/test-lh/test-metrics/metrics.json", "used_steps" : [ "training_job1" ] }, { "name" : "service_config2", "type" : "str", "default" : "/test-lh/test-metrics/metrics.json", "used_steps" : [ "training_job2" ] }, { "name" : "service_config3", "type" : "str", "default" : "/test-lh/test-metrics/metrics.json", "used_steps" : [ "training_job3" ] } ] }