-
导入V2Ray库:
import { Rayfile } from './rayfile'; import { TargetClient } from './targetclient'; -
配置Rayfile.ts:
- 在项目根目录中创建配置文件
rayfile.ts。 - 设置配置参数:
RayfileVersion = '2..', RayfileName = 'rayfile', RayfileCacheDir = './config/yaml', RayfileCacheSize = '8MB', RayfileCachePath = './config/cache', RayfileCacheSuffix = '_rayfile.json', RayfileCacheCacheDir = './config/cache', RayfileCacheSizeCache = '8MB', RayfileCacheCachePath = './config/cache/cache', RayfileCacheCacheSuffix = '_cache.json'
- 在项目根目录中创建配置文件
-
配置TargetClient:
- 在项目根目录中创建配置文件
targetclient.config。 - 设置参数:
TargetClientVersion = '.2.', TargetClientName = 'v2ray-dl-*.npy', TargetClientCacheDir = './config/cache', TargetClientCacheSize = '8MB', TargetClientCachePath = './config/cache/cache', TargetClientCacheSuffix = '_targetclient.json'
- 在项目根目录中创建配置文件
-
配置文件路径:
- 将配置文件
rayfile.ts和targetclient.config放置在项目根目录的src/app/子目录下。
- 将配置文件
-
配置文件内容:
-
rayfile.ts:
RayfileVersion = '2..', RayfileName = 'rayfile', RayfileCacheDir = './config/yaml', RayfileCacheSize = '8MB', RayfileCachePath = './config/cache', RayfileCacheSuffix = '_rayfile.json', RayfileCacheCacheDir = './config/cache', RayfileCacheSizeCache = '8MB', RayfileCacheCachePath = './config/cache/cache', RayfileCacheCacheSuffix = '_cache.json'
-
targetclient.config:
TargetClientVersion = '.2.', TargetClientName = 'v2ray-dl-*.npy', TargetClientCacheDir = './config/cache', TargetClientCacheSize = '8MB', TargetClientCachePath = './config/cache/cache', TargetClientCacheSuffix = '_targetclient.json'
-
-
测试配置:
- 在项目主目录下运行配置测试:
npm test
- 在项目主目录下运行配置测试:
通过以上步骤,确保V2Ray客户端能够正确读取缓存数据,提升性能和稳定性,如果在配置过程中遇到问题,建议检查 cacheDir 和 cacheSize 是否正确配置,以及缓存路径是否与缓存文件名一致。









