使用RestTemplate以及quartz定时任务对第三方API进行请求

谁借莪１个温暖的怀抱￠ 2022-12-25 08:57 77阅读 0赞

# 在工作中我们有时候会遇到在后台定时自动去请求一些第三方的平台接口来做一些操做，在这里向大家分享一个我日常使用的方式 #

# RestTemplate #

## pom依赖 ##

<dependency>
                <groupId>org.apache.httpcomponents</groupId>
                <artifactId>httpclient</artifactId>
                <version>4.5.2</version>
            </dependency>
            <dependency>
                <groupId>com.alibaba</groupId>
                <artifactId>fastjson</artifactId>
                <version>1.2.74</version>
            </dependency>
            <dependency>
                <groupId>org.springframework.boot</groupId>
                <artifactId>spring-boot-starter-quartz</artifactId>
            </dependency>

## RestTemplateConfig配置类 ##

@Configuration
    public class RestTemplateConfig { 
        @Bean
        public RestTemplate restTemplate(ClientHttpRequestFactory factory){ 
            return new RestTemplate(factory);
        }
        @Bean
        public ClientHttpRequestFactory simpleClientHttpRequestFactory(){ 
            SimpleClientHttpRequestFactory factory = new SimpleClientHttpRequestFactory();
            factory.setConnectTimeout(15000);
            factory.setReadTimeout(5000);
            return factory;
        }
    }
    通过RestTemplate进行不携带token的post请求
    @Resource
        private RestTemplate restTemplate;
        @Resource
        private RedisCache redisCache;
        //第一次延迟 1 秒后执行，之后按 fixedRate 的规则每 3 秒执行一次
        @Scheduled(initialDelay=1000, fixedRate=3000)
        public Object testPost() { 
            //将需要携带的参数进行封装
            JSONObject jsonObject = new JSONObject();
            jsonObject.put("tenantCode","a");
            jsonObject.put("operatorCode","b");
            //使用post请求进行登录
            //LOGINURL是我定义的第三方api路径常量
            JSONObject json = restTemplate.postForEntity(LOGINURL, jsonObject, JSONObject.class).getBody();
            //对获取到的响应体进行解析，将其中的token解析出来并存入redis中。
            //因为token是在data中，所以需要先获取到data中的内容，然后在通过解析data来获取其中的token
            JSONObject data = json.getJSONObject("data");
            String token = data.getString("token");
            redisCache.setCacheObject("token",token);
            return json;
        }
    使用RestTemplate进行携带token的post请求
      //上一次执行完毕时间点之后 6 秒再执行
        @Scheduled(fixedDelay = 1000)
        public Object testPost2() { 
            //通过redis来获取到刚才存入的token
            Object token = redisCache.getCacheObject("token");
            //填充header
            //需要将 Content-Type 也携带上，不然会出现一些奇奇怪怪的问题
            HttpHeaders httpHeaders = new HttpHeaders();
            httpHeaders.add("Content-Type", "application/json");
            httpHeaders.add("X-Access-Token", String.valueOf(token));
            //进行一个封装
            HttpEntity<String> formEntity = new HttpEntity<String>(httpHeaders);
            JSONObject json = restTemplate.postForEntity(LOGOUTURL, formEntity, JSONObject.class).getBody();
            return json;
        }
    使用RestTemplate进行携带token以及请求体的post请求
    //上一次执行完毕时间点之后 6 秒再执行
        @Scheduled(fixedDelay = 1000)
        public Object testPost2() { 
            Object token = redisCache.getCacheObject("token");
            
            HttpHeaders httpHeaders = new HttpHeaders();
            httpHeaders.add("Content-Type", "application/json");
            httpHeaders.add("X-Access-Token", String.valueOf(token));
            
            JSONObject jsonObject = new JSONObject();
            jsonObject.put("tenantCode","dt-sit-02");
            jsonObject.put("operatorCode","cy0808");
            HttpEntity<String> formEntity = new HttpEntity<String>(jsonObject.toString(),httpHeaders);
            JSONObject json = restTemplate.postForEntity(LOGOUTURL, formEntity, JSONObject.class).getBody();
            log.info(String.valueOf(json));
            return json;
        }

# quartz定时任务 #

## pom依赖 ##

<dependency>
                <groupId>org.springframework.boot</groupId>
                <artifactId>spring-boot-starter-quartz</artifactId>
            </dependency>

## 启动类 ##

@SpringBootApplication
    @EnableScheduling
    public class RestTemplateApplication { 
        public static void main(String[] args) { 
            SpringApplication.run(RestTemplateApplication.class, args);
        }
    }

# redis #

## pom依赖 ##

<dependency>
                <groupId>org.springframework.boot</groupId>
                <artifactId>spring-boot-starter-data-redis</artifactId>
                <version>2.1.17.RELEASE</version>
            </dependency>
            <dependency>
                <groupId>org.apache.commons</groupId>
                <artifactId>commons-pool2</artifactId>
            </dependency>

## yml配置文件 ##

spring:
      redis:
        host: localhost
        port: 6379
        password:
        timeout: 10s
        lettuce:
          pool:
            max-idle: 8
            min-idle: 0
            max-active: 8
            max-wait: -1ms

## redis配置类 ##

@Configuration
    @EnableCaching
    public class RedisConfig extends CachingConfigurerSupport
    { 
        @Bean
        @SuppressWarnings(value = {  "unchecked", "rawtypes" })
        public RedisTemplate<Object, Object> redisTemplate(RedisConnectionFactory connectionFactory)
        { 
            RedisTemplate<Object, Object> template = new RedisTemplate<>();
            template.setConnectionFactory(connectionFactory);
            FastJson2JsonRedisSerializer serializer = new FastJson2JsonRedisSerializer(Object.class);
            ObjectMapper mapper = new ObjectMapper();
            mapper.setVisibility(PropertyAccessor.ALL, JsonAutoDetect.Visibility.ANY);
            mapper.enableDefaultTyping(ObjectMapper.DefaultTyping.NON_FINAL);
            serializer.setObjectMapper(mapper);
            template.setValueSerializer(serializer);
            // 使用StringRedisSerializer来序列化和反序列化redis的key值
            template.setKeySerializer(new StringRedisSerializer());
            template.afterPropertiesSet();
            return template;
        }
    }
    /** * Redis使用FastJson序列化 * * @author MMHH */
    public class FastJson2JsonRedisSerializer<T> implements RedisSerializer<T>
    { 
        @SuppressWarnings("unused")
        private ObjectMapper objectMapper = new ObjectMapper();
        public static final Charset DEFAULT_CHARSET = Charset.forName("UTF-8");
        private Class<T> clazz;
        static
        { 
            ParserConfig.getGlobalInstance().setAutoTypeSupport(true);
        }
        public FastJson2JsonRedisSerializer(Class<T> clazz)
        { 
            super();
            this.clazz = clazz;
        }
        @Override
        public byte[] serialize(T t) throws SerializationException
        { 
            if (t == null)
            { 
                return new byte[0];
            }
            return JSON.toJSONString(t, SerializerFeature.WriteClassName).getBytes(DEFAULT_CHARSET);
        }
        @Override
        public T deserialize(byte[] bytes) throws SerializationException
        { 
            if (bytes == null || bytes.length <= 0)
            { 
                return null;
            }
            String str = new String(bytes, DEFAULT_CHARSET);
            return JSON.parseObject(str, clazz);
        }
        public void setObjectMapper(ObjectMapper objectMapper)
        { 
            Assert.notNull(objectMapper, "'objectMapper' must not be null");
            this.objectMapper = objectMapper;
        }
        protected JavaType getJavaType(Class<?> clazz)
        { 
            return TypeFactory.defaultInstance().constructType(clazz);
        }
    }

工具类这块采用了ruoyi的redis工具类来做

## redis工具类 ##

package com.resttemplate.resttemplate;
    import org.springframework.beans.factory.annotation.Autowired;
    import org.springframework.data.redis.core.HashOperations;
    import org.springframework.data.redis.core.RedisTemplate;
    import org.springframework.data.redis.core.ValueOperations;
    import org.springframework.stereotype.Component;
    import java.util.Collection;
    import java.util.List;
    import java.util.Map;
    import java.util.Set;
    import java.util.concurrent.TimeUnit;
    /** * spring redis 工具类 * * @author MMHH **/
    @SuppressWarnings(value = {  "unchecked", "rawtypes" })
    @Component
    public class RedisCache
    { 
        @Autowired
        public RedisTemplate redisTemplate;
        /** * 缓存基本的对象，Integer、String、实体类等 * * @param key 缓存的键值 * @param value 缓存的值 */
        public <T> void setCacheObject(final String key, final T value)
        { 
            redisTemplate.opsForValue().set(key, value);
        }
        /** * 缓存基本的对象，Integer、String、实体类等 * * @param key 缓存的键值 * @param value 缓存的值 * @param timeout 时间 * @param timeUnit 时间颗粒度 */
        public <T> void setCacheObject(final String key, final T value, final Integer timeout, final TimeUnit timeUnit)
        { 
            redisTemplate.opsForValue().set(key, value, timeout, timeUnit);
        }
        /** * 设置有效时间 * * @param key Redis键 * @param timeout 超时时间 * @return true=设置成功；false=设置失败 */
        public boolean expire(final String key, final long timeout)
        { 
            return expire(key, timeout, TimeUnit.SECONDS);
        }
        /** * 设置有效时间 * * @param key Redis键 * @param timeout 超时时间 * @param unit 时间单位 * @return true=设置成功；false=设置失败 */
        public boolean expire(final String key, final long timeout, final TimeUnit unit)
        { 
            return redisTemplate.expire(key, timeout, unit);
        }
        /** * 获得缓存的基本对象。 * * @param key 缓存键值 * @return 缓存键值对应的数据 */
        public <T> T getCacheObject(final String key)
        { 
            ValueOperations<String, T> operation = redisTemplate.opsForValue();
            return operation.get(key);
        }
        /** * 删除单个对象 * * @param key */
        public boolean deleteObject(final String key)
        { 
            return redisTemplate.delete(key);
        }
        /** * 删除集合对象 * * @param collection 多个对象 * @return */
        public long deleteObject(final Collection collection)
        { 
            return redisTemplate.delete(collection);
        }
        /** * 缓存List数据 * * @param key 缓存的键值 * @param dataList 待缓存的List数据 * @return 缓存的对象 */
        public <T> long setCacheList(final String key, final List<T> dataList)
        { 
            Long count = redisTemplate.opsForList().rightPushAll(key, dataList);
            return count == null ? 0 : count;
        }
        /** * 获得缓存的list对象 * * @param key 缓存的键值 * @return 缓存键值对应的数据 */
        public <T> List<T> getCacheList(final String key)
        { 
            return redisTemplate.opsForList().range(key, 0, -1);
        }
        /** * 缓存Set * * @param key 缓存键值 * @param dataSet 缓存的数据 * @return 缓存数据的对象 */
        public <T> long setCacheSet(final String key, final Set<T> dataSet)
        { 
            Long count = redisTemplate.opsForSet().add(key, dataSet);
            return count == null ? 0 : count;
        }
        /** * 获得缓存的set * * @param key * @return */
        public <T> Set<T> getCacheSet(final String key)
        { 
            return redisTemplate.opsForSet().members(key);
        }
        /** * 缓存Map * * @param key * @param dataMap */
        public <T> void setCacheMap(final String key, final Map<String, T> dataMap)
        { 
            if (dataMap != null) { 
                redisTemplate.opsForHash().putAll(key, dataMap);
            }
        }
        /** * 获得缓存的Map * * @param key * @return */
        public <T> Map<String, T> getCacheMap(final String key)
        { 
            return redisTemplate.opsForHash().entries(key);
        }
        /** * 往Hash中存入数据 * * @param key Redis键 * @param hKey Hash键 * @param value 值 */
        public <T> void setCacheMapValue(final String key, final String hKey, final T value)
        { 
            redisTemplate.opsForHash().put(key, hKey, value);
        }
        /** * 获取Hash中的数据 * * @param key Redis键 * @param hKey Hash键 * @return Hash中的对象 */
        public <T> T getCacheMapValue(final String key, final String hKey)
        { 
            HashOperations<String, String, T> opsForHash = redisTemplate.opsForHash();
            return opsForHash.get(key, hKey);
        }
        /** * 获取多个Hash中的数据 * * @param key Redis键 * @param hKeys Hash键集合 * @return Hash对象集合 */
        public <T> List<T> getMultiCacheMapValue(final String key, final Collection<Object> hKeys)
        { 
            return redisTemplate.opsForHash().multiGet(key, hKeys);
        }
        /** * 获得缓存的基本对象列表 * * @param pattern 字符串前缀 * @return 对象列表 */
        public Collection<String> keys(final String pattern)
        { 
            return redisTemplate.keys(pattern);
        }
    }