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Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
shenenqing
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| USE bella_asr; | ||
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| -- 步骤1: 创建 queue_sharding 表 | ||
| CREATE TABLE IF NOT EXISTS `queue_sharding` |
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整个数据模型和代码直接用现在bella-queue的一套就行。不用重新设计数据模型。整个流程：在bella-queue注册queue, 用户投递任务到queue，对应的asr拉取任务执行，完毕后结果回调到queue。现在整套体系支持这个流程，我理解下边的数据模型、代码，是不是没必要有，直接用现成的就行？
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其实可以不用实现这一套，直接数据都存到 queue 里就行，queue 定期做一下 asr 数据持久化就可以；最开始单独开一个仓库实现一遍想的是为 asr 做单独的链路扭转服务，asr 的数据也需要单独存一份周期也可能比较久，而且 queue 作为队列服务定位上不应该支持像 asr 这样的存储；但是实现了一版后朱哥说可以迁移到 queue 仓库里复用分表逻辑，所以现在的实现是接口逻辑是 asr 的接口，但是底层分表逻辑用的 queue 逻辑，表现会有点含糊，感觉可以讨论下直接全部复用还是部分拆离
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是的，这里边我们唯一需要解决的就是数据长时间存储的问题。其他的我感觉就是queue现存的能力。把asr作为模型worker就可以，下周一起讨论下吧。
| * @return 转写响应（包含task_id） | ||
| */ | ||
| @PostMapping("/transcriptions/file") | ||
| public AudioTranscriptionResponse createTranscription( |
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直接用现在的QueueController.put接口就行
| * @return 任务结果列表 | ||
| */ | ||
| @PostMapping("/transcriptions/file/result") | ||
| public List<Map<String, Object>> queryTranscriptions( |
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直接用现在的QueueController.queryTask接口就行吧
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功能概述
实现了 ASR（语音转文字）模块的完整功能
主要内容
1. 核心服务
2. 数据库分片
3. REST API
文件统计