fix(db): Open 自动创建父目录(自定义 DATA_DIR 首启不报错);add docker-compose.dev.yml(PG+pgvector 必需 + Ollama embedding 可选)
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# Cyrene v2 本地开发依赖(docker compose)
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# 用法:
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# 1) 先停掉之前手动起的容器,避免端口冲突:
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# docker rm -f cyrene-pg # 若有旧的手动容器
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# 2) 启动:
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# docker compose -f docker-compose.dev.yml up -d
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# 3) 验证 pgvector:
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# docker exec cyrene-pg psql -U cyrene -d cyrene_ai \
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# -c "CREATE EXTENSION IF NOT EXISTS vector; SELECT extversion FROM pg_extension WHERE extname='vector';"
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#
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# 注:SQLite 为默认内嵌库(文件,不需要容器);PG+pgvector 为可选增强(向量检索)。
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# 服务 `embedding`(Ollama)为可选:用于真语义嵌入(EMBEDDING_API_URL),不需要就注释掉/不加。
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services:
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# 主数据库:PostgreSQL 16 + pgvector(向量索引走这里)
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pg:
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image: pgvector/pgvector:pg16
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container_name: cyrene-pg
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environment:
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POSTGRES_USER: cyrene # 该用户会在镜像里被创建为 superuser(本地开发方便建 vector 扩展)
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POSTGRES_PASSWORD: cyrene_pass
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POSTGRES_DB: cyrene_ai
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ports:
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- "5432:5432"
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volumes:
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- pgdata:/var/lib/postgresql/data
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healthcheck:
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test: ["CMD-SHELL", "pg_isready -U cyrene -d cyrene_ai"]
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interval: 5s
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timeout: 3s
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retries: 12
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# 可选:本地 embedding(真语义向量)。用 Ollama 跑 bge-m3。
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# 启用后需拉模型:docker exec -it cyrene-embedding ollama pull bge-m3
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# 并让 .env 指到它:EMBEDDING_API_URL=http://localhost:11434/v1, EMBEDDING_MODEL=bge-m3
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embedding:
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image: ollama/ollama:latest
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container_name: cyrene-embedding
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profiles: ["embedding"] # 默认不启动;需要时 `docker compose --profile embedding up -d`
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ports:
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- "11434:11434"
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volumes:
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- ollama:/root/.ollama
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volumes:
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pgdata:
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ollama:
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