zqykj-modelcalc-client 1.0.3

lbsys

模型标签统一管理系统终端调用Client工具调用简述

依赖包安装

安装依赖工具

pypi默认仓库地址

pip install zqykj_modelcalc_client

调用示例-1

import zqykj_modelcalc_client.web as model_client

client = model_client.ModelClient(base_url="http://ip:port")  # 初始化client

if __name__ == '__main__':
    try:
        # 获取规则列表
        rules = client.list_rules()
        print(f"共有{len(rules)}条规则")
        print(rules)

        # 获取规则协议
        ruleTaskInfo = client.get_rule_protocol(rule_id=1911658357835882497)
        print(ruleTaskInfo)

        # 执行规则
        taskId = client.execute_rule_protocol(protocol_data=ruleTaskInfo)
        print(taskId)

        # 查询任务结果
        taskInfo = client.get_task_info(task_id=taskId)
        print(taskInfo)

    except model_client.ModelLbsAPIError as e:
        print(f"API调用失败: {e} (状态码: {e.status_code})")
        if e.detail:
            print(f"错误详情: {e.detail}")

调用示例-2

import zqykj_modelcalc_client.web as model_client
import zqykj_modelcalc_client.tools as tools
client = model_client.ModelClient(base_url="http://ip:port")  # 初始化client


if __name__ == '__main__':
try:

    # 根据规则编码获取执行协议，并写入到本地指定的文件夹内
    full_path = client.save_rule_protocol_to_file(path="D:\\data", rule_code="TBC_COMMS_UPN_0004")
    print(full_path)
    
    # 读取本地执行文件
    ruleTaskInfo=tools.read_json_file("D:\\data\\TBC_COMMS_UPN_0004_20250506162047.json")
    print(ruleTaskInfo)
    
    # 执行规则
    taskId = client.execute_rule_protocol(protocol_data=ruleTaskInfo)
    print(taskId)

    # 查询任务结果
    taskInfo = client.get_task_info(task_id=taskId)
    print(taskInfo)

except model_client.ModelLbsAPIError as e:
    print(f"API调用失败: {e} (状态码: {e.status_code})")
    if e.detail:
        print(f"错误详情: {e.detail}")

步骤说明

1.根据ruleId获取规则执行协议

ruleTaskInfo = client.get_rule_protocol(rule_id=1911658357835882497)
print(ruleTaskInfo)

2.根据ruleCode获取规则执行协议

ruleTaskInfo = client.get_rule_protocol_by_code(rule_code=TBC_COMMS_UPN_0001)
print(ruleTaskInfo)

3.执行规则

taskId = client.execute_rule_protocol(protocol_data=ruleTaskInfo)
print(taskId)

4.根据modelId获取模型执行协议

modelTaskInfo = client.get_model_protocol(model_id=1911658357835882497)
print(modelTaskInfo)

5.根据modelCode获取模型执行协议

modelTaskInfo = client.get_model_protocol_by_code(model_code=model_001)
print(modelTaskInfo)

6.执行模型

taskId = client.execute_model_protocol(protocol_data=modelTaskInfo)
print(taskId)

7.查询任务结果

taskInfo = client.get_task_info(task_id=taskId)
print(taskInfo)

8.终止任务

client.stop_task(task_id=taskId)

9.将规则执行协议生成json文件并保存到指定目录

full_path = client.save_rule_protocol_to_file(path="F:\\data", rule_code="TBC_COMMS_UPN_0004")
print(full_path)

10.将模型执行协议生成json文件并保存到指定目录

full_path = client.save_model_protocol_to_file(path="F:\\data", rule_code="model_001")
print(full_path)

11.将所有规则执行协议生成json文件并保存到指定目录

saved_files = client.save_all_rule_protocol_to_file(path="F:\\data")
print(saved_files)

12.将所有模型执行协议生成json文件并保存到指定目录

saved_files = client.save_all_model_protocol_to_file(path="F:\\data")
print(saved_files)