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潘志群/码多多 全能知识库(Python 版)

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install_postgres.sql
ai-python
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install_postgres.sql
install_postgres.sql 12.27 KB
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zero 提交于 2025年07月18日 22:30 +08:00 . update: pgsql
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-- 检查并启用uuid-ossp扩展

DO $$

BEGIN

 IF NOT EXISTS (SELECT 1 FROM pg_extension WHERE extname = 'uuid-ossp') THEN

 CREATE EXTENSION "uuid-ossp";

 RAISE NOTICE 'uuid-ossp扩展已安装';

 ELSE

 RAISE NOTICE 'uuid-ossp扩展已存在';

 END IF;

END $$;



-- 检查并安装 vector 扩展

DO $$

BEGIN

 IF NOT EXISTS (SELECT 1 FROM pg_extension WHERE extname = 'vector') THEN

 CREATE EXTENSION vector;

 RAISE NOTICE 'vector 扩展已安装';

 ELSE

 RAISE NOTICE 'vector 扩展已存在';

 END IF;

END $$;



-- 检查并安装 zhparser 扩展

DO $$

BEGIN

 IF NOT EXISTS (SELECT 1 FROM pg_extension WHERE extname = 'zhparser') THEN

 -- 尝试安装 zhparser

 BEGIN

 CREATE EXTENSION zhparser;

 RAISE NOTICE 'zhparser 扩展已安装';

 EXCEPTION WHEN OTHERS THEN

 RAISE EXCEPTION '无法安装 zhparser 扩展: %', SQLERRM;

 END;

 ELSE

 RAISE NOTICE 'zhparser 扩展已存在';

 END IF;

END $$;



-- 检查并创建全文搜索配置(仅在 zhparser 可用时)

DO $$

BEGIN

 IF NOT EXISTS (SELECT 1 FROM pg_ts_config WHERE cfgname = 'zh_en') THEN

 -- 创建全文搜索配置(仅当不存在时)

 CREATE TEXT SEARCH CONFIGURATION zh_en (PARSER = zhparser);



 -- 添加映射

 ALTER TEXT SEARCH CONFIGURATION zh_en

 ADD MAPPING FOR n,v,a,i,l,j,s,p,t,c,e,u,x,z

 WITH simple;



 RAISE NOTICE '全文搜索配置【zh_en】已创建';

 ELSE

 RAISE NOTICE '全文搜索配置【zh_en】已存在';

 END IF;

END $$;



-- ----------------------------

-- 知识库训练表

-- ----------------------------

DROP TABLE IF EXISTS "public"."cw_knowledge";

CREATE TABLE "public"."cw_knowledge" (

 "uuid" uuid NOT NULL DEFAULT gen_random_uuid(),

 "user_id" int4 NOT NULL DEFAULT 0,

 "last_uid" int4 NOT NULL DEFAULT 0,

 "know_id" int4 NOT NULL DEFAULT 0,

 "archive_id" int4 NOT NULL DEFAULT 0,

 "signed" varchar(32) COLLATE "pg_catalog"."default" NOT NULL DEFAULT ''::character varying,

 "vector_model" varchar(200) COLLATE "pg_catalog"."default" NOT NULL DEFAULT ''::character varying,

 "vector_alias" varchar(200) COLLATE "pg_catalog"."default" NOT NULL DEFAULT ''::character varying,

 "metadata" text COLLATE "pg_catalog"."default" DEFAULT ''::text,

 "question" text COLLATE "pg_catalog"."default" DEFAULT ''::text,

 "answer" text COLLATE "pg_catalog"."default" DEFAULT ''::text,

 "phrases" tsvector,

 "embedding" "public"."vector",

 "dimension" int4 NOT NULL DEFAULT 0,

 "chunk_index" int4 NOT NULL DEFAULT 0,

 "use_points" int4 NOT NULL DEFAULT 0,

 "use_tokens" int4 NOT NULL DEFAULT 0,

 "error" text COLLATE "pg_catalog"."default" DEFAULT ''::text,

 "status" int2 NOT NULL DEFAULT 0,

 "is_delete" int2 NOT NULL DEFAULT 0,

 "create_time" int4 NOT NULL DEFAULT 0,

 "update_time" int4 NOT NULL DEFAULT 0,

 "delete_time" int4 NOT NULL DEFAULT 0,

 CONSTRAINT "cw_knowledge_pkey" PRIMARY KEY ("uuid")

);



COMMENT ON COLUMN "public"."cw_knowledge"."uuid" IS '主键';

COMMENT ON COLUMN "public"."cw_knowledge"."user_id" IS '拥有者ID';

COMMENT ON COLUMN "public"."cw_knowledge"."last_uid" IS '操作者ID';

COMMENT ON COLUMN "public"."cw_knowledge"."know_id" IS '知识库ID';

COMMENT ON COLUMN "public"."cw_knowledge"."archive_id" IS '关联文档ID';

COMMENT ON COLUMN "public"."cw_knowledge"."vector_model" IS '向量模型';

COMMENT ON COLUMN "public"."cw_knowledge"."vector_alias" IS '向量别名';

COMMENT ON COLUMN "public"."cw_knowledge"."metadata" IS '元信息Json';

COMMENT ON COLUMN "public"."cw_knowledge"."question" IS '问题内容';

COMMENT ON COLUMN "public"."cw_knowledge"."answer" IS '补充内容';

COMMENT ON COLUMN "public"."cw_knowledge"."phrases" IS '中文分词';

COMMENT ON COLUMN "public"."cw_knowledge"."embedding" IS '向量内容';

COMMENT ON COLUMN "public"."cw_knowledge"."dimension" IS '向量维度';

COMMENT ON COLUMN "public"."cw_knowledge"."chunk_index" IS '分片下标';

COMMENT ON COLUMN "public"."cw_knowledge"."use_points" IS '消耗积分';

COMMENT ON COLUMN "public"."cw_knowledge"."use_tokens" IS '消耗Tokens';

COMMENT ON COLUMN "public"."cw_knowledge"."error" IS '错误信息';

COMMENT ON COLUMN "public"."cw_knowledge"."status" IS '学习状态: [0=等待中, 1=排队中, 2=学习中, 3=学习成功, 4=学习失败]';

COMMENT ON COLUMN "public"."cw_knowledge"."is_delete" IS '是否删除: [0=否, 1=是]';

COMMENT ON COLUMN "public"."cw_knowledge"."create_time" IS '创建时间';

COMMENT ON COLUMN "public"."cw_knowledge"."update_time" IS '更新时间';

COMMENT ON COLUMN "public"."cw_knowledge"."delete_time" IS '删除时间';



ALTER TABLE "public"."cw_knowledge" OWNER TO "postgres";



CREATE INDEX "wk_archive_idx" ON "public"."cw_knowledge" USING btree (

 "archive_id" "pg_catalog"."int4_ops" ASC NULLS LAST

);



CREATE INDEX "wk_know_idx" ON "public"."cw_knowledge" USING btree (

 "know_id" "pg_catalog"."int4_ops" ASC NULLS LAST

);



CREATE INDEX "wk_phrases_idx" ON "public"."cw_knowledge" USING gin (

 "phrases" "pg_catalog"."tsvector_ops"

);





-- ----------------------------

-- 文档训练表

-- ----------------------------

DROP TABLE IF EXISTS "public"."cw_documents";

CREATE TABLE "public"."cw_documents" (

 "uuid" uuid NOT NULL DEFAULT gen_random_uuid(),

 "user_id" int4 NOT NULL DEFAULT 0,

 "file_id" int4 NOT NULL DEFAULT 0,

 "vector_model" varchar(200) COLLATE "pg_catalog"."default" NOT NULL DEFAULT ''::character varying,

 "vector_alias" varchar(200) COLLATE "pg_catalog"."default" NOT NULL DEFAULT ''::character varying,

 "page_nv" varchar(200) COLLATE "pg_catalog"."default" NOT NULL DEFAULT ''::character varying,

 "page_no" int2 NOT NULL DEFAULT 0,

 "chunk_index" int4 NOT NULL DEFAULT 0,

 "chunk_texts" text COLLATE "pg_catalog"."default" DEFAULT ''::text,

 "metadata" text COLLATE "pg_catalog"."default" DEFAULT ''::text,

 "phrases" tsvector,

 "embedding" "public"."vector",

 "dimension" int4 NOT NULL DEFAULT 0,

 "use_points" int4 NOT NULL DEFAULT 0,

 "use_tokens" int4 NOT NULL DEFAULT 0,

 "error" text COLLATE "pg_catalog"."default" DEFAULT ''::text,

 "status" int2 NOT NULL DEFAULT 0,

 "is_delete" int2 NOT NULL DEFAULT 0,

 "create_time" int4 NOT NULL DEFAULT 0,

 "update_time" int4 NOT NULL DEFAULT 0,

 "delete_time" int4 NOT NULL DEFAULT 0,

 CONSTRAINT "cw_documents_pkey" PRIMARY KEY ("uuid")

);



ALTER TABLE "public"."cw_documents" OWNER TO "postgres";



CREATE INDEX "wd_file_idx" ON "public"."cw_documents" USING btree (

 "file_id" "pg_catalog"."int4_ops" ASC NULLS LAST

);



CREATE INDEX "wd_user_idx" ON "public"."cw_documents" USING btree (

 "user_id" "pg_catalog"."int4_ops" ASC NULLS LAST

);



CREATE INDEX "wd_phrases_idx" ON "public"."cw_documents" USING gin (

 "phrases" "pg_catalog"."tsvector_ops"

);



COMMENT ON COLUMN "public"."cw_documents"."uuid" IS '主键';

COMMENT ON COLUMN "public"."cw_documents"."user_id" IS '用户ID';

COMMENT ON COLUMN "public"."cw_documents"."file_id" IS '文件ID';

COMMENT ON COLUMN "public"."cw_documents"."vector_model" IS '向量模型';

COMMENT ON COLUMN "public"."cw_documents"."vector_alias" IS '向量别名';

COMMENT ON COLUMN "public"."cw_documents"."page_nv" IS '页码范围';

COMMENT ON COLUMN "public"."cw_documents"."page_no" IS '当前页码';

COMMENT ON COLUMN "public"."cw_documents"."chunk_index" IS '分片下标';

COMMENT ON COLUMN "public"."cw_documents"."chunk_texts" IS '分片内容';

COMMENT ON COLUMN "public"."cw_documents"."metadata" IS '元信息Json';

COMMENT ON COLUMN "public"."cw_documents"."phrases" IS '中文分词';

COMMENT ON COLUMN "public"."cw_documents"."embedding" IS '向量内容';

COMMENT ON COLUMN "public"."cw_documents"."dimension" IS '向量维度';

COMMENT ON COLUMN "public"."cw_documents"."use_points" IS '消耗积分';

COMMENT ON COLUMN "public"."cw_documents"."use_tokens" IS '消耗Tokens';

COMMENT ON COLUMN "public"."cw_documents"."error" IS '错误信息';

COMMENT ON COLUMN "public"."cw_documents"."status" IS '训练状态: [0=等待中, 1=训练中, 2=成功, 3=失败]';

COMMENT ON COLUMN "public"."cw_documents"."is_delete" IS '是否删除: [0=否, 1=是 ]';

COMMENT ON COLUMN "public"."cw_documents"."create_time" IS '创建时间';

COMMENT ON COLUMN "public"."cw_documents"."update_time" IS '更新时间';

COMMENT ON COLUMN "public"."cw_documents"."delete_time" IS '删除时间';





-- ----------------------------

-- 知识附件表

-- ----------------------------

CREATE TABLE "public"."cw_attachment" (

 "uuid" uuid NOT NULL DEFAULT gen_random_uuid(),

 "dataset_id" uuid NOT NULL,

 "archive_id" int4 NOT NULL DEFAULT 0,

 "know_id" int4 NOT NULL DEFAULT 0,

 "scene" varchar(10) COLLATE "pg_catalog"."default" NOT NULL DEFAULT ''::character varying,

 "type" varchar(10) COLLATE "pg_catalog"."default" NOT NULL DEFAULT ''::character varying,

 "name" varchar(250) COLLATE "pg_catalog"."default" NOT NULL DEFAULT ''::character varying,

 "path" varchar(250) COLLATE "pg_catalog"."default" NOT NULL DEFAULT ''::character varying,

 "ext" varchar(10) COLLATE "pg_catalog"."default" NOT NULL DEFAULT ''::character varying,

 "size" int4 NOT NULL DEFAULT 0,

 "sort" int4 NOT NULL DEFAULT 0,

 "signed" varchar(32) COLLATE "pg_catalog"."default" NOT NULL DEFAULT ''::character varying,

 "vector_model" varchar(200) COLLATE "pg_catalog"."default" NOT NULL DEFAULT ''::character varying,

 "vector_alias" varchar(200) COLLATE "pg_catalog"."default" NOT NULL DEFAULT ''::character varying,

 "question" text COLLATE "pg_catalog"."default" DEFAULT ''::text,

 "phrases" tsvector,

 "embedding" "public"."vector",

 "dimension" int4 NOT NULL DEFAULT 0,

 "use_points" int4 NOT NULL DEFAULT 0,

 "use_tokens" int4 NOT NULL DEFAULT 0,

 "error" text COLLATE "pg_catalog"."default" DEFAULT ''::text,

 "status" int2 NOT NULL DEFAULT 0,

 "create_time" int4 NOT NULL DEFAULT 0,

 "update_time" int4 NOT NULL DEFAULT 0,

 CONSTRAINT "cw_attachment_pkey" PRIMARY KEY ("uuid")

);



ALTER TABLE "public"."cw_attachment" OWNER TO "postgres";



CREATE INDEX "wa_know_idx" ON "public"."cw_attachment" USING btree (

 "know_id" "pg_catalog"."int4_ops" ASC NULLS LAST

);



CREATE INDEX "wa_archive_idx" ON "public"."cw_attachment" USING btree (

 "archive_id" "pg_catalog"."int4_ops" ASC NULLS LAST

);



CREATE INDEX "wa_dataset_idx" ON "public"."cw_attachment" USING btree (

 "dataset_id" "pg_catalog"."uuid_ops" ASC NULLS LAST

);



CREATE INDEX "wa_phrases_idx" ON "public"."cw_attachment" USING gin (

 "phrases" "pg_catalog"."tsvector_ops"

);



COMMENT ON COLUMN "public"."cw_attachment"."uuid" IS '主键';

COMMENT ON COLUMN "public"."cw_attachment"."dataset_id" IS '数据的ID';

COMMENT ON COLUMN "public"."cw_attachment"."archive_id" IS '文档的ID';

COMMENT ON COLUMN "public"."cw_attachment"."know_id" IS '知识库ID';

COMMENT ON COLUMN "public"."cw_attachment"."scene" IS '来源场景: [know]';

COMMENT ON COLUMN "public"."cw_attachment"."type" IS '文件类型: [image=图片, video=视频, audio=音频, file=文件]';

COMMENT ON COLUMN "public"."cw_attachment"."name" IS '文件名称';

COMMENT ON COLUMN "public"."cw_attachment"."path" IS '文件路径';

COMMENT ON COLUMN "public"."cw_attachment"."ext" IS '文件扩展';

COMMENT ON COLUMN "public"."cw_attachment"."size" IS '文件大小';

COMMENT ON COLUMN "public"."cw_attachment"."sort" IS '文件排序';

COMMENT ON COLUMN "public"."cw_attachment"."signed" IS '数据盐值';

COMMENT ON COLUMN "public"."cw_attachment"."vector_model" IS '向量模型';

COMMENT ON COLUMN "public"."cw_attachment"."vector_alias" IS '模型别名';

COMMENT ON COLUMN "public"."cw_attachment"."question" IS '描述问题';

COMMENT ON COLUMN "public"."cw_attachment"."phrases" IS '全文分词';

COMMENT ON COLUMN "public"."cw_attachment"."embedding" IS '向量数组';

COMMENT ON COLUMN "public"."cw_attachment"."dimension" IS '向量维度';

COMMENT ON COLUMN "public"."cw_attachment"."use_points" IS '消耗积分';

COMMENT ON COLUMN "public"."cw_attachment"."use_tokens" IS '消耗tokens';

COMMENT ON COLUMN "public"."cw_attachment"."error" IS '错误信息';

COMMENT ON COLUMN "public"."cw_attachment"."status" IS '训练状态: [0=等待中, 1=训练中, 2=成功, 3=失败]';

COMMENT ON COLUMN "public"."cw_attachment"."create_time" IS '创建时间';

COMMENT ON COLUMN "public"."cw_attachment"."update_time" IS '更新时间';
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简介

🤖🤖🤖码多多全开源全能 AI知识库 python 版,支持导入数据完成向量化训练后,用户提问即可进行向量化搜索,并且结合大语言模型进行AI回答,可以提升AI回答的专业性和实用性。
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