WeKnora deployment source with the reviewed wiki identity, summary and recovery fixes
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This commit is contained in:
yawan
2026-09-22 16:19:06 +08:00
commit f7fc992f57
3929 changed files with 1006607 additions and 0 deletions
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-- Create extensions
CREATE EXTENSION IF NOT EXISTS "uuid-ossp";
CREATE EXTENSION IF NOT EXISTS vector;
CREATE EXTENSION IF NOT EXISTS pg_trgm;
CREATE EXTENSION IF NOT EXISTS pg_search;
-- Create tenant table
CREATE TABLE IF NOT EXISTS tenants (
id SERIAL PRIMARY KEY,
name VARCHAR(255) NOT NULL,
description TEXT,
retriever_engines JSONB NOT NULL DEFAULT '[]',
status VARCHAR(50) DEFAULT 'active',
business VARCHAR(255) NOT NULL,
storage_quota BIGINT NOT NULL DEFAULT 10737418240, -- 默认10GB配额(Bytes)
storage_used BIGINT NOT NULL DEFAULT 0, -- 已使用的存储空间(Bytes)
agent_config JSONB DEFAULT NULL,
created_at TIMESTAMP WITH TIME ZONE DEFAULT CURRENT_TIMESTAMP,
updated_at TIMESTAMP WITH TIME ZONE DEFAULT CURRENT_TIMESTAMP,
deleted_at TIMESTAMP WITH TIME ZONE
);
COMMENT ON COLUMN tenants.agent_config IS 'Tenant-level agent configuration in JSON format';
-- Set the starting value for tenants id sequence
ALTER SEQUENCE tenants_id_seq RESTART WITH 10000;
-- Add indexes
CREATE INDEX IF NOT EXISTS idx_tenants_status ON tenants(status);
-- Create model table
CREATE TABLE IF NOT EXISTS models (
id VARCHAR(64) PRIMARY KEY DEFAULT uuid_generate_v4(),
tenant_id INTEGER NOT NULL,
name VARCHAR(255) NOT NULL,
display_name VARCHAR(255) NOT NULL DEFAULT '',
type VARCHAR(50) NOT NULL,
source VARCHAR(50) NOT NULL,
description TEXT,
parameters JSONB NOT NULL,
is_default BOOLEAN NOT NULL DEFAULT false,
status VARCHAR(50) NOT NULL DEFAULT 'active',
created_at TIMESTAMP WITH TIME ZONE DEFAULT CURRENT_TIMESTAMP,
updated_at TIMESTAMP WITH TIME ZONE DEFAULT CURRENT_TIMESTAMP,
deleted_at TIMESTAMP WITH TIME ZONE
);
-- Add indexes for models
CREATE INDEX IF NOT EXISTS idx_models_type ON models(type);
CREATE INDEX IF NOT EXISTS idx_models_source ON models(source);
-- Create knowledge_base table
CREATE TABLE IF NOT EXISTS knowledge_bases (
id VARCHAR(36) PRIMARY KEY DEFAULT uuid_generate_v4(),
name VARCHAR(255) NOT NULL,
description TEXT,
tenant_id INTEGER NOT NULL,
chunking_config JSONB NOT NULL DEFAULT '{"chunk_size": 512, "chunk_overlap": 50, "split_markers": ["\n\n", "\n", "。"], "keep_separator": true}',
image_processing_config JSONB NOT NULL DEFAULT '{"enable_multimodal": false, "model_id": ""}',
embedding_model_id VARCHAR(64) NOT NULL,
summary_model_id VARCHAR(64) NOT NULL,
rerank_model_id VARCHAR(64) NOT NULL,
cos_config JSONB NOT NULL DEFAULT '{}',
vlm_config JSONB NOT NULL DEFAULT '{}',
extract_config JSONB NULL DEFAULT NULL,
auto_tag_config JSONB NULL,
created_at TIMESTAMP WITH TIME ZONE DEFAULT CURRENT_TIMESTAMP,
updated_at TIMESTAMP WITH TIME ZONE DEFAULT CURRENT_TIMESTAMP,
deleted_at TIMESTAMP WITH TIME ZONE
);
-- Add indexes for knowledge_bases
CREATE INDEX IF NOT EXISTS idx_knowledge_bases_tenant_id ON knowledge_bases(tenant_id);
-- Create knowledge table
CREATE TABLE IF NOT EXISTS knowledges (
id VARCHAR(36) PRIMARY KEY DEFAULT uuid_generate_v4(),
tenant_id INTEGER NOT NULL,
knowledge_base_id VARCHAR(36) NOT NULL,
type VARCHAR(50) NOT NULL,
title VARCHAR(255) NOT NULL,
description TEXT,
source VARCHAR(2048) NOT NULL,
parse_status VARCHAR(50) NOT NULL DEFAULT 'unprocessed',
enable_status VARCHAR(50) NOT NULL DEFAULT 'enabled',
embedding_model_id VARCHAR(64),
file_name VARCHAR(255),
file_type VARCHAR(50),
file_size BIGINT,
file_path TEXT,
file_hash VARCHAR(64),
storage_size BIGINT NOT NULL DEFAULT 0, -- 存储大小(Byte)
metadata JSONB,
created_at TIMESTAMP WITH TIME ZONE DEFAULT CURRENT_TIMESTAMP,
updated_at TIMESTAMP WITH TIME ZONE DEFAULT CURRENT_TIMESTAMP,
processed_at TIMESTAMP WITH TIME ZONE,
error_message TEXT,
deleted_at TIMESTAMP WITH TIME ZONE
);
-- Add indexes for knowledge
CREATE INDEX IF NOT EXISTS idx_knowledges_tenant_id ON knowledges(tenant_id);
CREATE INDEX IF NOT EXISTS idx_knowledges_base_id ON knowledges(knowledge_base_id);
CREATE INDEX IF NOT EXISTS idx_knowledges_parse_status ON knowledges(parse_status);
CREATE INDEX IF NOT EXISTS idx_knowledges_enable_status ON knowledges(enable_status);
-- Create session table
CREATE TABLE IF NOT EXISTS sessions (
id VARCHAR(36) PRIMARY KEY DEFAULT uuid_generate_v4(),
tenant_id INTEGER NOT NULL,
title VARCHAR(255),
description TEXT,
knowledge_base_id VARCHAR(36),
max_rounds INTEGER NOT NULL DEFAULT 5,
enable_rewrite BOOLEAN NOT NULL DEFAULT true,
fallback_strategy VARCHAR(255) NOT NULL DEFAULT 'fixed',
fallback_response TEXT NOT NULL DEFAULT '很抱歉,我暂时无法回答这个问题。',
keyword_threshold FLOAT NOT NULL DEFAULT 0.5,
vector_threshold FLOAT NOT NULL DEFAULT 0.5,
rerank_model_id VARCHAR(64),
embedding_top_k INTEGER NOT NULL DEFAULT 10,
rerank_top_k INTEGER NOT NULL DEFAULT 10,
rerank_threshold FLOAT NOT NULL DEFAULT 0.65,
summary_model_id VARCHAR(64),
summary_parameters JSONB NOT NULL DEFAULT '{}',
agent_config JSONB DEFAULT NULL,
context_config JSONB DEFAULT NULL,
created_at TIMESTAMP WITH TIME ZONE DEFAULT CURRENT_TIMESTAMP,
updated_at TIMESTAMP WITH TIME ZONE DEFAULT CURRENT_TIMESTAMP,
deleted_at TIMESTAMP WITH TIME ZONE
);
COMMENT ON COLUMN sessions.agent_config IS 'Session-level agent configuration in JSON format';
COMMENT ON COLUMN sessions.context_config IS 'LLM context management configuration (separate from message storage)';
-- Create Index for sessions
CREATE INDEX IF NOT EXISTS idx_sessions_tenant_id ON sessions(tenant_id);
-- Create message table
CREATE TABLE IF NOT EXISTS messages (
id VARCHAR(36) PRIMARY KEY DEFAULT uuid_generate_v4(),
request_id VARCHAR(36) NOT NULL,
session_id VARCHAR(36) NOT NULL,
role VARCHAR(50) NOT NULL,
content TEXT NOT NULL,
knowledge_references JSONB NOT NULL DEFAULT '[]',
agent_steps JSONB DEFAULT NULL,
is_completed BOOLEAN NOT NULL DEFAULT false,
created_at TIMESTAMP WITH TIME ZONE DEFAULT CURRENT_TIMESTAMP,
updated_at TIMESTAMP WITH TIME ZONE DEFAULT CURRENT_TIMESTAMP,
deleted_at TIMESTAMP WITH TIME ZONE
);
COMMENT ON COLUMN messages.agent_steps IS 'Agent execution steps (reasoning process and tool calls)';
-- Create Index for messages
CREATE INDEX IF NOT EXISTS idx_messages_session_id ON messages(session_id);
CREATE TABLE IF NOT EXISTS chunks (
id VARCHAR(36) PRIMARY KEY DEFAULT uuid_generate_v4(),
tenant_id INTEGER NOT NULL,
knowledge_base_id VARCHAR(36) NOT NULL,
knowledge_id VARCHAR(36) NOT NULL,
content TEXT NOT NULL,
chunk_index INTEGER NOT NULL,
is_enabled BOOLEAN NOT NULL DEFAULT true,
start_at INTEGER NOT NULL,
end_at INTEGER NOT NULL,
pre_chunk_id VARCHAR(36),
next_chunk_id VARCHAR(36),
chunk_type VARCHAR(20) NOT NULL DEFAULT 'text',
parent_chunk_id VARCHAR(36),
image_info TEXT,
relation_chunks JSONB,
indirect_relation_chunks JSONB,
created_at TIMESTAMP WITH TIME ZONE DEFAULT CURRENT_TIMESTAMP,
updated_at TIMESTAMP WITH TIME ZONE DEFAULT CURRENT_TIMESTAMP,
deleted_at TIMESTAMP WITH TIME ZONE
);
CREATE INDEX IF NOT EXISTS idx_chunks_tenant_kg ON chunks(tenant_id, knowledge_id);
CREATE INDEX IF NOT EXISTS idx_chunks_parent_id ON chunks(parent_chunk_id);
CREATE INDEX IF NOT EXISTS idx_chunks_chunk_type ON chunks(chunk_type);
CREATE TABLE IF NOT EXISTS embeddings (
id SERIAL PRIMARY KEY,
created_at TIMESTAMP WITH TIME ZONE DEFAULT CURRENT_TIMESTAMP,
updated_at TIMESTAMP WITH TIME ZONE DEFAULT CURRENT_TIMESTAMP,
source_id VARCHAR(64) NOT NULL,
source_type INTEGER NOT NULL,
chunk_id VARCHAR(64),
knowledge_id VARCHAR(64),
knowledge_base_id VARCHAR(64),
content TEXT,
dimension INTEGER NOT NULL,
embedding halfvec
);
CREATE UNIQUE INDEX IF NOT EXISTS embeddings_unique_source ON embeddings(source_id, source_type);
CREATE INDEX IF NOT EXISTS embeddings_search_idx ON embeddings
USING bm25 (id, knowledge_base_id, content, knowledge_id, chunk_id)
WITH (
key_field = 'id',
text_fields = '{
"content": {
"tokenizer": {"type": "chinese_lindera"}
}
}'
);
CREATE INDEX ON embeddings USING hnsw ((embedding::halfvec(3584)) halfvec_cosine_ops) WITH (m = 16, ef_construction = 64) WHERE (dimension = 3584);
CREATE INDEX ON embeddings USING hnsw ((embedding::halfvec(798)) halfvec_cosine_ops) WITH (m = 16, ef_construction = 64) WHERE (dimension = 798);
@@ -0,0 +1,69 @@
-- 迁移脚本:从PostgreSQL迁移到ParadeDB
-- 注意:在执行此脚本前,请确保已经备份了数据
-- 1. 导出数据(在PostgreSQL中执行)
-- pg_dump -U postgres -h localhost -p 5432 -d your_database > backup.sql
-- 2. 导入数据(在ParadeDB中执行)
-- psql -U postgres -h localhost -p 5432 -d your_database < backup.sql
-- 3. 验证数据
-- Insert some sample data
-- INSERT INTO tenants (id, name, description, status, api_key)
-- VALUES
-- (1, 'Demo Tenant', 'This is a demo tenant for testing', 'active', 'sk-00000001abcdefg123456')
-- ON CONFLICT DO NOTHING;
-- SELECT setval('tenants_id_seq', (SELECT MAX(id) FROM tenants));
-- -- Create knowledge base
-- INSERT INTO knowledge_bases (id, name, description, tenant_id, chunking_config, image_processing_config, embedding_model_id)
-- VALUES
-- ('kb-00000001', 'Default Knowledge Base', 'Default knowledge base for testing', 1, '{"chunk_size": 512, "chunk_overlap": 50, "separators": ["\n\n", "\n", "。"], "keep_separator": true}', '{"enable_multimodal": false, "model_id": ""}', 'model-embedding-00000001'),
-- ('kb-00000002', 'Test Knowledge Base', 'Test knowledge base for development', 1, '{"chunk_size": 512, "chunk_overlap": 50, "separators": ["\n\n", "\n", "。"], "keep_separator": true}', '{"enable_multimodal": false, "model_id": ""}', 'model-embedding-00000001'),
-- ('kb-00000003', 'Test Knowledge Base 2', 'Test knowledge base for development 2', 1, '{"chunk_size": 512, "chunk_overlap": 50, "separators": ["\n\n", "\n", "。"], "keep_separator": true}', '{"enable_multimodal": false, "model_id": ""}', 'model-embedding-00000001')
-- ON CONFLICT DO NOTHING;
SELECT COUNT(*) FROM tenants;
SELECT COUNT(*) FROM models;
SELECT COUNT(*) FROM knowledge_bases;
SELECT COUNT(*) FROM knowledges;
-- 测试中文全文搜索
-- 创建文档表
CREATE TABLE chinese_documents (
id SERIAL PRIMARY KEY,
title TEXT,
content TEXT,
published_date DATE
);
-- 在表上创建 BM25 索引,使用结巴分词器支持中文
CREATE INDEX idx_documents_bm25 ON chinese_documents
USING bm25 (id, content)
WITH (
key_field = 'id',
text_fields = '{
"content": {
"tokenizer": {"type": "chinese_lindera"}
}
}'
);
INSERT INTO chinese_documents (title, content, published_date)
VALUES
('人工智能的发展', '人工智能技术正在快速发展,影响了我们生活的方方面面。大语言模型是最近的一个重要突破。', '2023-01-15'),
('机器学习基础', '机器学习是人工智能的一个重要分支,包括监督学习、无监督学习和强化学习等方法。', '2023-02-20'),
('深度学习应用', '深度学习在图像识别、自然语言处理和语音识别等领域有广泛应用。', '2023-03-10'),
('自然语言处理技术', '自然语言处理允许计算机理解、解释和生成人类语言,是人工智能的核心技术之一。', '2023-04-05'),
('计算机视觉入门', '计算机视觉让机器能够"看到"并理解视觉世界,广泛应用于安防、医疗等领域。', '2023-05-12');
INSERT INTO chinese_documents (title, content, published_date)
VALUES
('hello world', 'hello world', '2023-05-12');