b08ee17893
后端： 1. 阶段 2 user/auth 服务边界落地，新增 `cmd/userauth` go-zero zrpc 服务、`services/userauth` 核心实现、gateway user API/zrpc client 与 shared contracts/ports，迁移注册、登录、刷新 token、登出、JWT、黑名单和 token 额度治理 2. gateway 与启动装配切流，`cmd/all` 只保留边缘路由、鉴权和轻量组合，通过 userauth zrpc 访问核心用户能力；拆分 MySQL/Redis 初始化与 AutoMigrate 边界，`userauth` 自迁 `users` 和 token 记账幂等表，`all` 不再迁用户表 3. 清退 Gin 单体旧 user/auth DAO、model、service、router、middleware 和 JWT handler，并同步调整 agent/schedule/cache/outbox 相关调用依赖 4. 补齐 refresh token 防并发重放、MySQL 幂等 token 记账、额度 `>=` 拦截和 RPC 错误映射，避免重复记账与内部错误透出 文档： 1. 新增《学习计划论坛与Token商店PRD》
148 lines
2.9 KiB
YAML
148 lines
2.9 KiB
YAML
# SmartFlow 后端配置示例
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#
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# 说明：
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# 1. 请复制为 config.yaml 后按实际环境填写。
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# 2. 本示例只保留当前代码仍会读取的配置项，避免示例与运行配置持续漂移。
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# 服务启动配置。
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server:
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port: 8080
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# MySQL 主库配置。
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database:
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host: localhost
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port: 3306
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user: smartflow_user
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password: "put_your_database_password_here"
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dbname: "put_your_database_name_here"
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# 登录态与鉴权令牌配置。
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jwt:
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accessSecret: "put_your_jwt_access_secret_here"
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refreshSecret: "put_your_jwt_refresh_secret_here"
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accessTokenExpire: 15min
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refreshTokenExpire: 7d
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# Redis 配置。
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redis:
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host: localhost
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port: 6379
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password: ""
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# user/auth zrpc 独立服务与网关客户端配置。
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userauth:
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rpc:
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listenOn: "0.0.0.0:9081"
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endpoints:
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- "127.0.0.1:9081"
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timeout: 2s
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# Kafka outbox 事件总线配置。
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kafka:
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enabled: true
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brokers:
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- "localhost:9092"
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topic: "smartflow.agent.outbox"
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groupID: "smartflow-agent-outbox-consumer"
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retryScanInterval: 1s
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retryBatchSize: 100
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maxRetry: 20
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# 通知投递配置。
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notification:
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frontendBaseURL: "http://localhost:5173"
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retryScanEvery: 1m
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retryBatchSize: 50
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# 时间与学期边界配置。
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time:
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zone: "Asia/Shanghai"
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semesterStartDate: "2026-03-02"
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semesterEndDate: "2026-07-19"
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# 智能体模型配置。
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agent:
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liteModel: "doubao-seed-2-0-code-preview-260215"
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proModel: "doubao-seed-2-0-code-preview-260215"
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maxModel: "doubao-seed-2-0-code-preview-260215"
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baseURL: "https://ark.cn-beijing.volces.com/api/v3"
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thinking:
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plan: true
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execute: true
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deliver: false
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memory: false
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# 课表图片导入识别配置。
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courseImport:
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visionModel: ""
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maxImageBytes: 5242880
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maxTokens: 8192
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# 通用 RAG 配置。
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rag:
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enabled: true
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store: "milvus"
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topK: 8
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threshold: 0.55
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retrieve:
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timeoutMs: 1500
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ingest:
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chunkSize: 400
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chunkOverlap: 80
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embed:
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provider: "eino"
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model: "doubao-embedding-vision-251215"
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baseURL: "https://ark.cn-beijing.volces.com/api/v3"
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timeoutMs: 1200
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dimension: 1024
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reranker:
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enabled: false
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provider: "noop"
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timeoutMs: 1200
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milvus:
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address: "http://localhost:19530"
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token: "root:Milvus"
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dbName: ""
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collectionName: "smartflow_rag_chunks"
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metricType: "COSINE"
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requestTimeoutMs: 1500
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# 记忆模块配置。
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memory:
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enabled: true
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rag:
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enabled: true
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read:
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mode: legacy
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constraintLimit: 5
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preferenceLimit: 5
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factLimit: 5
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inject:
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renderMode: flat
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prompt:
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extract: ""
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decision: ""
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threshold: 0.55
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enableReranker: false
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llm:
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temperature: 0.1
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topP: 0.2
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job:
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maxRetry: 6
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worker:
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pollEvery: 2s
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claimBatch: 1
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decision:
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enabled: true
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candidateTopK: 5
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candidateMinScore: 0.6
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fallbackMode: legacy_add
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write:
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mode: legacy
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minConfidence: 0.5
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# 联网搜索能力配置。
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websearch:
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provider: bocha
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apiKey: ""
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