package com.zzg.framework.config;

import org.apache.commons.pool2.impl.GenericObjectPoolConfig;
import org.springframework.boot.autoconfigure.data.redis.RedisProperties;
import org.springframework.boot.context.properties.EnableConfigurationProperties;
import org.springframework.cache.annotation.CachingConfigurerSupport;
import org.springframework.cache.annotation.EnableCaching;
import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Configuration;
import org.springframework.data.redis.connection.RedisConnectionFactory;
import org.springframework.data.redis.connection.RedisStandaloneConfiguration;
import org.springframework.data.redis.connection.lettuce.LettuceConnectionFactory;
import org.springframework.data.redis.connection.lettuce.LettucePoolingClientConfiguration;
import org.springframework.data.redis.core.RedisTemplate;
import org.springframework.data.redis.core.script.DefaultRedisScript;
import org.springframework.data.redis.serializer.StringRedisSerializer;

/**
 * redis配置
 *
 * @author ruoyi
 */
@Configuration
@EnableCaching
@EnableConfigurationProperties(RedisProperties.class)
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);

        // 使用StringRedisSerializer来序列化和反序列化redis的key值
        template.setKeySerializer(new StringRedisSerializer());
        template.setValueSerializer(serializer);

        // Hash的key也采用StringRedisSerializer的序列化方式
        template.setHashKeySerializer(new StringRedisSerializer());
        template.setHashValueSerializer(serializer);

        template.afterPropertiesSet();
        return template;
    }

    @Bean
    public DefaultRedisScript<Long> limitScript() {
        DefaultRedisScript<Long> redisScript = new DefaultRedisScript<>();
        redisScript.setScriptText(limitScriptText());
        redisScript.setResultType(Long.class);
        return redisScript;
    }

    @Bean
    public RedisConnectionFactory redisConnectionFactory(RedisProperties properties) {
        // 配置连接池
        GenericObjectPoolConfig<Object> poolConfig = new GenericObjectPoolConfig<>();
        poolConfig.setMinIdle(properties.getLettuce().getPool().getMinIdle());
        poolConfig.setMaxIdle(properties.getLettuce().getPool().getMaxIdle());
        poolConfig.setMaxTotal(properties.getLettuce().getPool().getMaxActive());
        poolConfig.setMaxWaitMillis(properties.getLettuce().getPool().getMaxWait().toMillis());

        // 配置 Lettuce 客户端
        LettucePoolingClientConfiguration clientConfig = LettucePoolingClientConfiguration.builder()
                .poolConfig(poolConfig)
                .build();

        // 创建连接工厂
        RedisStandaloneConfiguration serverConfig = new RedisStandaloneConfiguration();
        serverConfig.setHostName(properties.getHost());
        serverConfig.setPort(properties.getPort());
        serverConfig.setPassword(properties.getPassword());

        return new LettuceConnectionFactory(serverConfig, clientConfig);
    }

    /**
     * 限流脚本
     */
    private String limitScriptText() {
        return "local key = KEYS[1]\n" +
                "local count = tonumber(ARGV[1])\n" +
                "local time = tonumber(ARGV[2])\n" +
                "local current = redis.call('get', key);\n" +
                "if current and tonumber(current) > count then\n" +
                "    return tonumber(current);\n" +
                "end\n" +
                "current = redis.call('incr', key)\n" +
                "if tonumber(current) == 1 then\n" +
                "    redis.call('expire', key, time)\n" +
                "end\n" +
                "return tonumber(current);";
    }
}