Files
AIclinicalresearch/backend/create_mock_user_platform.sql
HaHafeng dfc0fe0b9a feat(pkb): Integrate pgvector and create Dify replacement plan
Summary:
- Migrate PostgreSQL to pgvector/pgvector:pg15 Docker image
- Successfully install and verify pgvector 0.8.1 extension
- Create comprehensive Dify-to-pgvector migration plan
- Update PKB module documentation with pgvector status
- Update system documentation with pgvector integration

Key changes:
- docker-compose.yml: Switch to pgvector/pgvector:pg15 image
- Add EkbDocument and EkbChunk data model design
- Design R-C-R-G hybrid retrieval architecture
- Add clinical data JSONB fields (pico, studyDesign, regimen, safety, criteria, endpoints)
- Create detailed 10-day implementation roadmap

Documentation updates:
- PKB module status: pgvector RAG infrastructure ready
- System status: pgvector 0.8.1 integrated
- New: Dify replacement development plan (01-Dify替换为pgvector开发计划.md)
- New: Enterprise medical knowledge base solution V2

Tested: PostgreSQL with pgvector verified, frontend and backend functionality confirmed
2026-01-20 00:00:58 +08:00

64 lines
834 B
SQL

-- 在 platform_schema.users 中创建 mock 用户
-- 用于 PKB 等模块的测试
-- 首先需要一个默认租户
INSERT INTO platform_schema.tenants (id, code, name, type, status, created_at, updated_at)
VALUES (
'tenant-mock-001',
'mock-tenant',
'测试租户',
'INTERNAL',
'ACTIVE',
NOW(),
NOW()
)
ON CONFLICT (id) DO NOTHING;
-- 创建 mock 用户
INSERT INTO platform_schema.users (
id,
phone,
email,
password,
is_default_password,
name,
role,
status,
tenant_id,
kb_quota,
kb_used,
is_trial,
created_at,
updated_at
)
VALUES (
'user-mock-001',
'13800000000',
'mock@test.com',
'$2b$10$mockhashedpassword123456789',
true,
'测试用户',
'USER',
'active',
'tenant-mock-001',
3,
0,
false,
NOW(),
NOW()
)
ON CONFLICT (id) DO NOTHING;