HaHafeng
96290d2f76
Sprint 1-3 Completed (Backend + Frontend): Backend (Sprint 1-2): - Implement 5-layer Agent framework (Query->Planner->Executor->Tools->Reflection) - Create agent_schema with 6 tables (agent_definitions, stages, prompts, sessions, traces, reflexion_rules) - Create protocol_schema with 2 tables (protocol_contexts, protocol_generations) - Implement Protocol Agent core services (Orchestrator, ContextService, PromptBuilder) - Integrate LLM service adapter (DeepSeek/Qwen/GPT-5/Claude) - 6 API endpoints with full authentication - 10/10 API tests passed Frontend (Sprint 3): - Add Protocol Agent entry in AgentHub (indigo theme card) - Implement ProtocolAgentPage with 3-column layout - Collapsible sidebar (Gemini style, 48px <-> 280px) - StatePanel with 5 stage cards (scientific_question, pico, study_design, sample_size, endpoints) - ChatArea with sync button and action cards integration - 100% prototype design restoration (608 lines CSS) - Detailed endpoints structure: baseline, exposure, outcomes, confounders Features: - 5-stage dialogue flow for research protocol design - Conversation-driven interaction with sync-to-protocol button - Real-time context state management - One-click protocol generation button (UI ready, backend pending) Database: - agent_schema: 6 tables for reusable Agent framework - protocol_schema: 2 tables for Protocol Agent - Seed data: 1 agent + 5 stages + 9 prompts + 4 reflexion rules Code Stats: - Backend: 13 files, 4338 lines - Frontend: 14 files, 2071 lines - Total: 27 files, 6409 lines Status: MVP core functionality completed, pending frontend-backend integration testing Next: Sprint 4 - One-click protocol generation + Word export
57 lines
1.7 KiB
Docker
57 lines
1.7 KiB
Docker
# PostgreSQL 15 with pgvector + pg_bigm extensions
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# 用于 AI 临床研究平台的向量检索和中文关键词检索
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#
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# 扩展版本：
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# - pgvector: 0.8.1 (向量相似度搜索)
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# - pg_bigm: 1.2 (中日韩文本全文搜索)
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#
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# 构建命令：
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# docker build -f Dockerfile.postgres-with-extensions -t ai-clinical-postgres:v1.1 .
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#
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# 使用方法：
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# 1. 构建镜像后，修改 docker-compose.yml:
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# image: ai-clinical-postgres:v1.1
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# 2. 重启服务：docker compose down && docker compose up -d
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# 3. 启用扩展：
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# docker exec -it ai-clinical-postgres psql -U postgres -d ai_clinical_research -c "CREATE EXTENSION IF NOT EXISTS pg_bigm;"
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FROM pgvector/pgvector:pg15
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# 使用阿里云镜像源加速（如果在国内）
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# RUN sed -i 's/deb.debian.org/mirrors.aliyun.com/g' /etc/apt/sources.list.d/*.sources 2>/dev/null || true
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# 安装编译依赖
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RUN apt-get update && apt-get install -y --no-install-recommends \
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build-essential \
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postgresql-server-dev-15 \
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wget \
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ca-certificates \
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&& rm -rf /var/lib/apt/lists/*
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# 下载并编译 pg_bigm
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# pg_bigm 是专门为中日韩（CJK）字符优化的全文搜索扩展
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RUN cd /tmp \
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&& wget -q https://github.com/pgbigm/pg_bigm/archive/refs/tags/v1.2-20200228.tar.gz \
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&& tar -xzf v1.2-20200228.tar.gz \
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&& cd pg_bigm-1.2-20200228 \
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&& make USE_PGXS=1 \
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&& make USE_PGXS=1 install \
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&& cd / \
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&& rm -rf /tmp/pg_bigm* /tmp/v1.2-20200228.tar.gz
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# 清理编译依赖
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RUN apt-get purge -y --auto-remove \
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build-essential \
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postgresql-server-dev-15 \
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wget \
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&& rm -rf /var/lib/apt/lists/*
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# 添加初始化脚本（自动创建扩展）
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COPY docker-init-extensions.sql /docker-entrypoint-initdb.d/
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# 暴露端口
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EXPOSE 5432
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