schedule request
时间: 2023-11-05 22:04:58 浏览: 144
在定时任务中获取request对象有两种方法。第一种方法是使用@Autowired注解来注入HttpServletRequest对象。但是需要注意的是,如果在非web请求的线程中使用该对象可能会抛出异常,因为没有与之关联的请求。第二种方法是通过在定时任务的执行方法中传递request对象作为参数来获取。这样可以确保在定时任务中能够正常访问request对象。
相关问题
使用java编写Schedule超时重新请求
当使用Java编写一个能够处理超时并重新发送请求的调度程序时,可以使用`ScheduledExecutorService`和`Future`来实现。下面是一个简单的示例代码:
```java
import java.util.concurrent.*;
public class RequestScheduler {
private ScheduledExecutorService executor;
private int maxRetries;
private long timeout;
public RequestScheduler(int maxRetries, long timeout) {
this.maxRetries = maxRetries;
this.timeout = timeout;
this.executor = Executors.newSingleThreadScheduledExecutor();
}
public void scheduleRequest(Runnable requestTask) {
RetryTask retryTask = new RetryTask(requestTask);
executor.schedule(retryTask, 0, TimeUnit.MILLISECONDS);
}
private class RetryTask implements Runnable {
private Runnable requestTask;
private int retryCount;
public RetryTask(Runnable requestTask) {
this.requestTask = requestTask;
this.retryCount = 0;
}
@Override
public void run() {
Future<?> future = executor.submit(requestTask);
try {
future.get(timeout, TimeUnit.MILLISECONDS);
} catch (InterruptedException | ExecutionException | TimeoutException e) {
if (retryCount < maxRetries) {
System.out.println("Request timed out, retrying...");
retryCount++;
scheduleRequest(requestTask);
} else {
System.out.println("Max retries exceeded, request failed.");
}
}
}
}
public void shutdown() {
executor.shutdown();
}
public static void main(String[] args) {
RequestScheduler scheduler = new RequestScheduler(3, 5000); // 最多重试3次,超时时间为5秒
Runnable requestTask = new Runnable() {
@Override
public void run() {
// 执行您的请求任务
// 例如:发送HTTP请求等
}
};
scheduler.scheduleRequest(requestTask);
// 等待所有任务完成后关闭调度程序
scheduler.shutdown();
}
}
```
在上面的示例中,`RequestScheduler`类使用`ScheduledExecutorService`创建一个单线程的调度程序,并提供了`scheduleRequest`方法用于调度请求任务。`RetryTask`类是一个内部类,它实现了`Runnable`接口来执行请求任务。在`run`方法中,它使用`Future`来执行请求任务,并设置超时时间。如果超时或发生异常,它会根据重试次数和最大重试次数来判断是否重新调度请求任务。
您可以根据自己的需求调整`maxRetries`(最大重试次数)和`timeout`(超时时间)。在`main`方法中,创建一个`RequestScheduler`实例并调用`scheduleRequest`方法来示范使用。
希望这个示例能满足您的需求!如果您有任何问题,请随时提问。
@allure.title("验证周期MA批量同步") def test_schedule_ma_multiple(self): ma_count = 2 ma_list = [] vin_list = ["L6T79T2E1NP004452"] ecu_cmd_list = generate_ecu_cmd_list( [{"model": 0, "ecu": "VGM", "service": "22", "interval": 1, "did": "F1AE"}, {"model": 1, "ecu": "VGM", "service": "1902", "interval": 1, "input_parameter": "FF"}]) for i in range(ma_count): ma_list.append(create_schedule_or_event_ma("schedule", "2.0多任务周期同步" + str(randint(0, 100)), vin_list, ecu_cmd_list)) # 验证创建结果 assert len(ma_list) == ma_count # 车端请求云端:同步请求 res1 = vehicle_req_synchronization({"rvdc.eventId": rvdc_get_datetime(0, "TIMESTAMP"), "rvdc.requestId": 0, "rvdc.appId": 1, "rvdc.vin": self.vin, "rvdc.dataType": "maSynchronizationReq", "rvdc.payload.storageQuota": 25, "rvdc.payload.maFormatVersion": 0 }) assert res1.get("code") == 100000 # 车端请求云端:移除异常ma任务 res1 = vehicle_req_remove({"rvdc.eventId": rvdc_get_datetime(0, "TIMESTAMP"), "rvdc.requestId": 0, "rvdc.appId": 1, "rvdc.vin": self.vin, "rvdc.dataType": "rvdcRemoveMasResp", "rvdc.payload.masremoved": "true", }) assert res1.get("code") == 100000 # 因为是异步推送,验证推送结果 res = query_vehicle_cloud_log(**{"vin": self.vin, "type": "maSynchronization", "createTimeStart": "", "createTimeEnd": "", "maId": ma_list[0]}) res_log = res.get("data")["records"][0]["content"] res_content_json = json.loads(res_log) res2 = res_content_json["request"]["jsonObject"]["rvdc"]["payload"]["newMas"] assert ma_list[0] in res2 assert ma_list[1] in res2优化一下这段代码
考虑以下几点优化:
1. 将一些重复的代码抽象成函数,如创建MA任务、车端请求云端等,可以提高代码的复用性和可维护性。
2. 对于同步请求和移除异常MA任务的验证,可以使用pytest中的assert语句,使代码更加简洁易读。
3. 对于异步推送的验证,可以使用pytest中的fixture和mock,模拟推送结果,避免依赖实际的推送结果。
修改后的代码如下:
```
import pytest
import json
from random import randint
from utils import (
create_schedule_or_event_ma,
generate_ecu_cmd_list,
vehicle_req_synchronization,
vehicle_req_remove,
query_vehicle_cloud_log,
rvdc_get_datetime
)
@pytest.fixture(scope="module")
def ma_list():
ma_count = 2
vin_list = ["L6T79T2E1NP004452"]
ecu_cmd_list = generate_ecu_cmd_list([
{"model": 0, "ecu": "VGM", "service": "22", "interval": 1, "did": "F1AE"},
{"model": 1, "ecu": "VGM", "service": "1902", "interval": 1, "input_parameter": "FF"}
])
return [create_schedule_or_event_ma("schedule", "2.0多任务周期同步" + str(randint(0, 100)), vin_list, ecu_cmd_list)
for _ in range(ma_count)]
@pytest.fixture(scope="module")
def sync_request():
return {
"rvdc.eventId": rvdc_get_datetime(0, "TIMESTAMP"),
"rvdc.requestId": 0,
"rvdc.appId": 1,
"rvdc.vin": "L6T79T2E1NP004452",
"rvdc.dataType": "maSynchronizationReq",
"rvdc.payload.storageQuota": 25,
"rvdc.payload.maFormatVersion": 0
}
@pytest.fixture(scope="module")
def remove_request():
return {
"rvdc.eventId": rvdc_get_datetime(0, "TIMESTAMP"),
"rvdc.requestId": 0,
"rvdc.appId": 1,
"rvdc.vin": "L6T79T2E1NP004452",
"rvdc.dataType": "rvdcRemoveMasResp",
"rvdc.payload.masremoved": "true"
}
def test_create_ma(ma_list):
assert len(ma_list) == 2
def test_sync_request(sync_request):
res = vehicle_req_synchronization(sync_request)
assert res.get("code") == 100000
def test_remove_request(remove_request):
res = vehicle_req_remove(remove_request)
assert res.get("code") == 100000
def test_query_vehicle_cloud_log(ma_list):
# 模拟异步推送结果
res_content_json = {
"request": {
"jsonObject": {
"rvdc": {
"payload": {
"newMas": ma_list
}
}
}
}
}
res = {
"data": {
"records": [
{
"content": json.dumps(res_content_json)
}
]
}
}
# 验证推送结果
res = query_vehicle_cloud_log(vin="L6T79T2E1NP004452", type="maSynchronization")
res_log = res.get("data")["records"][0]["content"]
res_content_json = json.loads(res_log)
res2 = res_content_json["request"]["jsonObject"]["rvdc"]["payload"]["newMas"]
assert set(ma_list) == set(res2)
```
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