mirror of
https://gitcode.com/ageerle/ruoyi-ai.git
synced 2026-09-13 00:14:59 +00:00
Merge upstream/main into feature/common-trace-rag-chat
This commit is contained in:
Obltv
@@ -1,8 +1,6 @@
|
||||
version: '3.5'
|
||||
|
||||
services:
|
||||
etcd:
|
||||
container_name: milvus-etcd
|
||||
container_name: ruoyi-rag-milvus-etcd
|
||||
image: quay.io/coreos/etcd:v3.5.18
|
||||
environment:
|
||||
- ETCD_AUTO_COMPACTION_MODE=revision
|
||||
@@ -19,14 +17,11 @@ services:
|
||||
retries: 3
|
||||
|
||||
minio:
|
||||
container_name: milvus-minio
|
||||
container_name: ruoyi-rag-milvus-minio
|
||||
image: minio/minio:RELEASE.2023-03-20T20-16-18Z
|
||||
environment:
|
||||
MINIO_ACCESS_KEY: minioadmin
|
||||
MINIO_SECRET_KEY: minioadmin
|
||||
ports:
|
||||
- "9001:9001"
|
||||
- "9000:9000"
|
||||
volumes:
|
||||
- ${DOCKER_VOLUME_DIRECTORY:-.}/volumes/minio:/minio_data
|
||||
command: minio server /minio_data --console-address ":9001"
|
||||
@@ -37,7 +32,7 @@ services:
|
||||
retries: 3
|
||||
|
||||
standalone:
|
||||
container_name: milvus-standalone
|
||||
container_name: ruoyi-rag-milvus
|
||||
image: milvusdb/milvus:v2.5.7
|
||||
command: ["milvus", "run", "standalone"]
|
||||
security_opt:
|
||||
@@ -61,7 +56,7 @@ services:
|
||||
- "minio"
|
||||
|
||||
attu:
|
||||
container_name: attu
|
||||
container_name: ruoyi-rag-attu
|
||||
image: zilliz/attu:v2.5.7
|
||||
environment:
|
||||
MILVUS_URL: milvus-standalone:19530
|
||||
@@ -72,4 +67,4 @@ services:
|
||||
|
||||
networks:
|
||||
default:
|
||||
name: milvus
|
||||
name: ruoyi-rag-milvus
|
||||
|
||||
@@ -1,12 +1,20 @@
|
||||
---
|
||||
services:
|
||||
qdrant:
|
||||
image: qdrant/qdrant:latest
|
||||
container_name: ruoyi-rag-qdrant
|
||||
image: qdrant/qdrant:v1.17.0
|
||||
ports:
|
||||
- 6333:6333
|
||||
- 6334:6334
|
||||
volumes:
|
||||
- qdrant_data:/qdrant/storage
|
||||
healthcheck:
|
||||
test: ["CMD-SHELL", "bash -c 'exec 3<>/dev/tcp/127.0.0.1/6333 && printf \"GET /healthz HTTP/1.1\\r\\nHost: localhost\\r\\nConnection: close\\r\\n\\r\\n\" >&3 && grep -q \"200 OK\" <&3'"]
|
||||
interval: 10s
|
||||
timeout: 5s
|
||||
retries: 12
|
||||
start_period: 10s
|
||||
restart: unless-stopped
|
||||
volumes:
|
||||
qdrant_data:
|
||||
...
|
||||
|
||||
@@ -20,6 +20,22 @@ RUN mvn clean package -Pprod -DskipTests
|
||||
# 最终运行镜像
|
||||
FROM eclipse-temurin:17-jre-alpine
|
||||
|
||||
RUN set -eux; \
|
||||
apk add --no-cache ffmpeg; \
|
||||
for filter in scale pad fps setsar format tpad trim settb setpts xfade \
|
||||
aresample aformat apad atrim asetpts anullsrc concat acrossfade; do \
|
||||
ffmpeg -hide_banner -filters 2>/dev/null | grep -Eq "[[:space:]]${filter}[[:space:]]"; \
|
||||
done; \
|
||||
ffmpeg -hide_banner -h filter=xfade 2>&1 | grep -q dissolve; \
|
||||
ffmpeg -hide_banner -h filter=xfade 2>&1 | grep -q fadeblack; \
|
||||
ffmpeg -hide_banner -h filter=xfade 2>&1 | grep -q slideleft; \
|
||||
ffmpeg -hide_banner -encoders 2>/dev/null | grep -Eq '[[:space:]]libx264[[:space:]]'; \
|
||||
ffmpeg -hide_banner -encoders 2>/dev/null | grep -Eq '[[:space:]]aac[[:space:]]'; \
|
||||
ffprobe -hide_banner -version >/dev/null
|
||||
|
||||
ENV FFMPEG_PATH=/usr/bin/ffmpeg \
|
||||
FFPROBE_PATH=/usr/bin/ffprobe
|
||||
|
||||
# 设置工作目录
|
||||
WORKDIR /app
|
||||
|
||||
@@ -27,10 +43,10 @@ WORKDIR /app
|
||||
COPY --from=builder /build/ruoyi-admin/target/ruoyi-admin.jar ./ruoyi-admin.jar
|
||||
|
||||
# 创建日志目录
|
||||
RUN mkdir -p /ruoyi/server/logs
|
||||
RUN mkdir -p /ruoyi/server/logs /ruoyi/server/temp
|
||||
|
||||
# 暴露端口
|
||||
EXPOSE 6039
|
||||
|
||||
# 启动命令
|
||||
ENTRYPOINT ["java", "-jar", "ruoyi-admin.jar", "--spring.profiles.active=prod"]
|
||||
ENTRYPOINT ["java", "-Djava.io.tmpdir=/ruoyi/server/temp", "-jar", "ruoyi-admin.jar", "--spring.profiles.active=prod"]
|
||||
|
||||
@@ -1,16 +1,14 @@
|
||||
# 基于官方MySQL 8.0镜像构建自定义镜像
|
||||
# 构建命令: docker build -t registry.cn-hangzhou.aliyuncs.com/ruoyi-ai/mysql:v3 -f Dockerfile.mysql .
|
||||
FROM mysql:8.0.33
|
||||
FROM mysql:8.0
|
||||
|
||||
# 设置时区
|
||||
ENV TZ=Asia/Shanghai
|
||||
|
||||
# 复制初始化脚本和SQL文件到镜像中
|
||||
COPY docs/script/docker/mysql/init/init-db.sh /docker-entrypoint-initdb.d/init-db.sh
|
||||
COPY docs/script/sql/ruoyi-ai-v3_mysql8.sql /docker-entrypoint-initdb.d/ruoyi-ai-v3_mysql8.sql
|
||||
|
||||
# 设置脚本可执行权限
|
||||
RUN chmod +x /docker-entrypoint-initdb.d/init-db.sh
|
||||
# MySQL 官方入口会按文件名顺序执行初始化目录中的 SQL。
|
||||
# ruoyi-ai.sql 会导入 MYSQL_DATABASE，snail_job_mysql.sql 会自行创建并切换数据库。
|
||||
COPY docs/script/sql/ruoyi-ai.sql /docker-entrypoint-initdb.d/01-ruoyi-ai.sql
|
||||
COPY docs/script/sql/snail_job_mysql.sql /docker-entrypoint-initdb.d/02-snail-job.sql
|
||||
|
||||
# MySQL启动参数
|
||||
CMD ["--default-authentication-plugin=mysql_native_password", \
|
||||
@@ -18,4 +16,4 @@ CMD ["--default-authentication-plugin=mysql_native_password", \
|
||||
"--collation-server=utf8mb4_general_ci", \
|
||||
"--explicit_defaults_for_timestamp=true", \
|
||||
"--lower_case_table_names=1", \
|
||||
"--skip-ssl"]
|
||||
"--skip-ssl"]
|
||||
|
||||
@@ -12,8 +12,6 @@
|
||||
#
|
||||
# 镜像仓库地址: crpi-31mraxd99y2gqdgr.cn-beijing.personal.cr.aliyuncs.com/ruoyi_ai
|
||||
|
||||
version: '3.8'
|
||||
|
||||
services:
|
||||
# ==================== MySQL 数据库 ====================
|
||||
mysql:
|
||||
@@ -30,7 +28,10 @@ services:
|
||||
volumes:
|
||||
- mysql-data:/var/lib/mysql
|
||||
healthcheck:
|
||||
test: ["CMD", "mysqladmin", "ping", "-h", "localhost", "-u", "root", "-proot"]
|
||||
# Force TCP: during first-time initialization MySQL exposes a temporary
|
||||
# socket-only server. A socket ping would mark the service healthy before
|
||||
# the real network listener (used by the backend) is ready.
|
||||
test: ["CMD", "mysqladmin", "ping", "--protocol=tcp", "-h", "127.0.0.1", "-u", "root", "-proot"]
|
||||
interval: 15s
|
||||
timeout: 10s
|
||||
retries: 10
|
||||
@@ -177,4 +178,4 @@ volumes:
|
||||
weaviate-data:
|
||||
minio-data:
|
||||
logs-data:
|
||||
upload-data:
|
||||
upload-data:
|
||||
|
||||
@@ -21,8 +21,8 @@ services:
|
||||
MYSQL_DATABASE: ruoyi-ai-agent
|
||||
TZ: Asia/Shanghai
|
||||
volumes:
|
||||
- ./docs/script/docker/mysql/init/init-db.sh:/docker-entrypoint-initdb.d/init-db.sh:ro
|
||||
- ./docs/script/sql/ruoyi-ai-v3_mysql8.sql:/docker-entrypoint-initdb.d/ruoyi-ai-v3_mysql8.sql:ro
|
||||
- ../../script/sql/ruoyi-ai.sql:/docker-entrypoint-initdb.d/01-ruoyi-ai.sql:ro
|
||||
- ../../script/sql/snail_job_mysql.sql:/docker-entrypoint-initdb.d/02-snail-job.sql:ro
|
||||
- mysql-data:/var/lib/mysql
|
||||
command:
|
||||
--default-authentication-plugin=mysql_native_password
|
||||
@@ -32,7 +32,9 @@ services:
|
||||
--lower_case_table_names=1
|
||||
--skip-ssl
|
||||
healthcheck:
|
||||
test: ["CMD", "mysqladmin", "ping", "-h", "localhost", "-u", "root", "-proot"]
|
||||
# Do not let the socket-only initialization server satisfy the check.
|
||||
# The backend connects over TCP and must wait for that listener.
|
||||
test: ["CMD", "mysqladmin", "ping", "--protocol=tcp", "-h", "127.0.0.1", "-u", "root", "-proot"]
|
||||
interval: 15s
|
||||
timeout: 10s
|
||||
retries: 10
|
||||
|
||||
@@ -5,12 +5,12 @@ services:
|
||||
- --host
|
||||
- 0.0.0.0
|
||||
- --port
|
||||
- '6038'
|
||||
- '8080'
|
||||
- --scheme
|
||||
- http
|
||||
image: semitechnologies/weaviate:1.19.7
|
||||
image: semitechnologies/weaviate:1.30.0
|
||||
ports:
|
||||
- 6038:6038
|
||||
- 28080:8080
|
||||
- 50051:50051
|
||||
volumes:
|
||||
- weaviate_data:/var/lib/weaviate
|
||||
|
||||
Binary file not shown.
|
Before Width: | Height: | Size: 127 KiB After Width: | Height: | Size: 112 KiB |
@@ -1,10 +0,0 @@
|
||||
#!/bin/bash
|
||||
# 数据库初始化脚本
|
||||
# 使用 --force 参数确保即使出错也继续执行
|
||||
|
||||
echo "开始初始化数据库..."
|
||||
|
||||
# 使用 --force 参数忽略错误继续执行
|
||||
mysql -uroot -proot ruoyi-ai-agent --force < /docker-entrypoint-initdb.d/ruoyi-ai-v3_mysql8.sql
|
||||
|
||||
echo "数据库初始化完成"
|
||||
86
docs/script/install-ffmpeg-windows.ps1
Normal file
86
docs/script/install-ffmpeg-windows.ps1
Normal file
@@ -0,0 +1,86 @@
|
||||
[CmdletBinding()]
|
||||
param(
|
||||
[switch]$Force
|
||||
)
|
||||
|
||||
$ErrorActionPreference = 'Stop'
|
||||
|
||||
function Find-Executable([string]$Name) {
|
||||
$command = Get-Command $Name -ErrorAction SilentlyContinue
|
||||
if ($command) {
|
||||
return $command.Source
|
||||
}
|
||||
|
||||
$roots = @(
|
||||
(Join-Path $env:LOCALAPPDATA 'Microsoft\WinGet\Packages'),
|
||||
(Join-Path $env:USERPROFILE 'scoop\apps\ffmpeg'),
|
||||
'C:\ProgramData\chocolatey\bin',
|
||||
'C:\ffmpeg'
|
||||
)
|
||||
foreach ($root in $roots) {
|
||||
if (-not (Test-Path $root)) { continue }
|
||||
$match = Get-ChildItem -Path $root -Filter "$Name.exe" -Recurse -ErrorAction SilentlyContinue |
|
||||
Select-Object -First 1 -ExpandProperty FullName
|
||||
if ($match) { return $match }
|
||||
}
|
||||
return $null
|
||||
}
|
||||
|
||||
$ffmpeg = Find-Executable 'ffmpeg'
|
||||
$ffprobe = Find-Executable 'ffprobe'
|
||||
|
||||
if ($Force -or -not $ffmpeg -or -not $ffprobe) {
|
||||
$winget = Get-Command winget -ErrorAction SilentlyContinue
|
||||
if (-not $winget) {
|
||||
throw '未找到 winget。请先从 Microsoft Store 安装“应用安装程序”，或使用项目 Dockerfile 运行后端。'
|
||||
}
|
||||
|
||||
Write-Host '正在通过 winget 安装 FFmpeg...' -ForegroundColor Cyan
|
||||
& winget install --id Gyan.FFmpeg --exact --source winget `
|
||||
--accept-package-agreements --accept-source-agreements
|
||||
if ($LASTEXITCODE -ne 0) {
|
||||
throw "winget 安装失败，退出码: $LASTEXITCODE"
|
||||
}
|
||||
|
||||
$ffmpeg = Find-Executable 'ffmpeg'
|
||||
$ffprobe = Find-Executable 'ffprobe'
|
||||
}
|
||||
|
||||
if (-not $ffmpeg -or -not $ffprobe) {
|
||||
throw 'FFmpeg 已安装但未能定位 ffmpeg.exe 或 ffprobe.exe。请重新打开 PowerShell 后再次运行脚本。'
|
||||
}
|
||||
|
||||
$binDirectory = Split-Path -Parent $ffmpeg
|
||||
[Environment]::SetEnvironmentVariable('FFMPEG_PATH', $ffmpeg, 'User')
|
||||
[Environment]::SetEnvironmentVariable('FFPROBE_PATH', $ffprobe, 'User')
|
||||
|
||||
$userPath = [Environment]::GetEnvironmentVariable('Path', 'User')
|
||||
$pathParts = @($userPath -split ';' | Where-Object { $_ })
|
||||
if ($pathParts -notcontains $binDirectory) {
|
||||
$newPath = (@($pathParts) + $binDirectory) -join ';'
|
||||
[Environment]::SetEnvironmentVariable('Path', $newPath, 'User')
|
||||
}
|
||||
|
||||
$env:FFMPEG_PATH = $ffmpeg
|
||||
$env:FFPROBE_PATH = $ffprobe
|
||||
if (($env:Path -split ';') -notcontains $binDirectory) {
|
||||
$env:Path = "$binDirectory;$env:Path"
|
||||
}
|
||||
|
||||
Write-Host "ffmpeg: $ffmpeg" -ForegroundColor Green
|
||||
Write-Host "ffprobe: $ffprobe" -ForegroundColor Green
|
||||
|
||||
& $ffmpeg -hide_banner -version | Select-Object -First 1
|
||||
& $ffprobe -hide_banner -version | Select-Object -First 1
|
||||
|
||||
$encoders = & $ffmpeg -hide_banner -encoders 2>&1 | Out-String
|
||||
if ($encoders -notmatch '\blibx264\b') {
|
||||
throw '当前 FFmpeg 不包含 libx264 编码器，无法满足短剧合成配置。'
|
||||
}
|
||||
if ($encoders -notmatch '\baac\b') {
|
||||
throw '当前 FFmpeg 不包含 AAC 编码器，无法满足短剧合成配置。'
|
||||
}
|
||||
|
||||
Write-Host ''
|
||||
Write-Host '安装与配置完成。请完全重启 IntelliJ IDEA 和 ruoyi-ai 后端服务。' -ForegroundColor Yellow
|
||||
Write-Host '重启后，Spring 将从 FFMPEG_PATH 和 FFPROBE_PATH 读取绝对路径。'
|
||||
File diff suppressed because one or more lines are too long
545
docs/script/sql/snail_job_mysql.sql
Normal file
545
docs/script/sql/snail_job_mysql.sql
Normal file
File diff suppressed because it is too large
Load Diff
58
docs/script/sql/update/2026-07-20-knowledge-fragment-fid.sql
Normal file
58
docs/script/sql/update/2026-07-20-knowledge-fragment-fid.sql
Normal file
@@ -0,0 +1,58 @@
|
||||
-- RAG metadata migration (MySQL 8). Safe to execute repeatedly.
|
||||
-- 注意：MySQL 8 不支持 ALTER TABLE ... ADD COLUMN IF NOT EXISTS（仅 MariaDB 支持），
|
||||
-- 因此列的增量添加统一用 information_schema 守卫 + PREPARE 实现幂等。
|
||||
SET @add_file_hash_col = IF(EXISTS(
|
||||
SELECT 1 FROM information_schema.columns WHERE table_schema = DATABASE()
|
||||
AND table_name = 'knowledge_attach' AND column_name = 'file_hash'),
|
||||
'SELECT 1',
|
||||
'ALTER TABLE `knowledge_attach` ADD COLUMN `file_hash` varchar(64) NULL DEFAULT NULL COMMENT ''文件SHA-256摘要'' AFTER `doc_id`');
|
||||
PREPARE stmt FROM @add_file_hash_col; EXECUTE stmt; DEALLOCATE PREPARE stmt;
|
||||
|
||||
ALTER TABLE `knowledge_attach`
|
||||
MODIFY COLUMN `doc_id` varchar(32) NULL DEFAULT NULL COMMENT '文档ID';
|
||||
|
||||
SET @add_file_hash = IF(EXISTS(
|
||||
SELECT 1 FROM information_schema.statistics WHERE table_schema = DATABASE()
|
||||
AND table_name = 'knowledge_attach' AND index_name = 'uk_knowledge_file_hash'),
|
||||
'SELECT 1', 'ALTER TABLE `knowledge_attach` ADD UNIQUE INDEX `uk_knowledge_file_hash` (`knowledge_id`, `file_hash`)');
|
||||
PREPARE stmt FROM @add_file_hash; EXECUTE stmt; DEALLOCATE PREPARE stmt;
|
||||
|
||||
SET @add_fid_col = IF(EXISTS(
|
||||
SELECT 1 FROM information_schema.columns WHERE table_schema = DATABASE()
|
||||
AND table_name = 'knowledge_fragment' AND column_name = 'fid'),
|
||||
'SELECT 1',
|
||||
'ALTER TABLE `knowledge_fragment` ADD COLUMN `fid` varchar(32) NULL DEFAULT NULL COMMENT ''向量库片段ID'' AFTER `id`');
|
||||
PREPARE stmt FROM @add_fid_col; EXECUTE stmt; DEALLOCATE PREPARE stmt;
|
||||
|
||||
ALTER TABLE `knowledge_fragment`
|
||||
MODIFY COLUMN `doc_id` varchar(32) NULL DEFAULT NULL COMMENT '文档ID';
|
||||
|
||||
UPDATE `knowledge_fragment`
|
||||
SET `fid` = LOWER(MD5(CONCAT('knowledge_fragment:', `id`)))
|
||||
WHERE `fid` IS NULL OR `fid` = '';
|
||||
|
||||
SET @drop_idx_fid = IF(EXISTS(
|
||||
SELECT 1 FROM information_schema.statistics WHERE table_schema = DATABASE()
|
||||
AND table_name = 'knowledge_fragment' AND index_name = 'idx_fid'),
|
||||
'ALTER TABLE `knowledge_fragment` DROP INDEX `idx_fid`', 'SELECT 1');
|
||||
PREPARE stmt FROM @drop_idx_fid; EXECUTE stmt; DEALLOCATE PREPARE stmt;
|
||||
|
||||
SET @add_uk_fid = IF(EXISTS(
|
||||
SELECT 1 FROM information_schema.statistics WHERE table_schema = DATABASE()
|
||||
AND table_name = 'knowledge_fragment' AND index_name = 'uk_fid'),
|
||||
'SELECT 1', 'ALTER TABLE `knowledge_fragment` ADD UNIQUE INDEX `uk_fid` (`fid`)');
|
||||
PREPARE stmt FROM @add_uk_fid; EXECUTE stmt; DEALLOCATE PREPARE stmt;
|
||||
|
||||
ALTER TABLE `knowledge_fragment` MODIFY COLUMN `fid` varchar(32) NOT NULL COMMENT '向量库片段ID';
|
||||
|
||||
SET @add_tenant_user = IF(EXISTS(
|
||||
SELECT 1 FROM information_schema.statistics WHERE table_schema = DATABASE()
|
||||
AND table_name = 'knowledge_info' AND index_name = 'idx_tenant_user'),
|
||||
'SELECT 1', 'ALTER TABLE `knowledge_info` ADD INDEX `idx_tenant_user` (`tenant_id`, `user_id`)');
|
||||
PREPARE stmt FROM @add_tenant_user; EXECUTE stmt; DEALLOCATE PREPARE stmt;
|
||||
|
||||
SET @add_tenant_share = IF(EXISTS(
|
||||
SELECT 1 FROM information_schema.statistics WHERE table_schema = DATABASE()
|
||||
AND table_name = 'knowledge_info' AND index_name = 'idx_tenant_share'),
|
||||
'SELECT 1', 'ALTER TABLE `knowledge_info` ADD INDEX `idx_tenant_share` (`tenant_id`, `share`)');
|
||||
PREPARE stmt FROM @add_tenant_share; EXECUTE stmt; DEALLOCATE PREPARE stmt;
|
||||
@@ -0,0 +1,7 @@
|
||||
-- 加宽 chat_provider.provider_icon 字段 (对应 issue IHPUDA)
|
||||
-- 背景：文件系统使用 minio 私有桶时，厂商图标存的是带签名的临时访问 URL，
|
||||
-- 长度常超过 255，导致「Data too long for column 'provider_icon'」。
|
||||
-- MODIFY COLUMN 可重复执行。
|
||||
|
||||
ALTER TABLE `chat_provider`
|
||||
MODIFY COLUMN `provider_icon` varchar(1000) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT NULL COMMENT '厂商图标';
|
||||
@@ -0,0 +1,41 @@
|
||||
-- 补充工作流节点消息模板配置 (对应 issue IJX5VV)
|
||||
-- 背景：NodeMessageTemplateEnum 依赖以下 9 个 sys_config 键，缺失时
|
||||
-- WorkflowMessageUtil.getNodeMessageTemplate 会抛出「请先配置该节点的响应模板」。
|
||||
-- 这批配置在历史提交 20d531c0 中存在，SQL 脚本合并重命名时遗失，此处恢复。
|
||||
-- 幂等：按 config_key + tenant_id 判重，可重复执行。
|
||||
|
||||
INSERT INTO `sys_config` (`config_id`, `tenant_id`, `config_name`, `config_key`, `config_value`, `config_type`, `create_dept`, `create_by`, `create_time`, `update_by`, `update_time`, `remark`)
|
||||
SELECT 2027192921483309058, '000000', 'HTTP请求节点响应模板', 'node.httpRequest.template', '✅ HTTP请求节点：结束响应 - ', 'Y', 103, 1, '2026-02-27 09:23:51', 1, '2026-02-27 09:31:41', NULL
|
||||
FROM DUAL WHERE NOT EXISTS (SELECT 1 FROM `sys_config` WHERE `config_key` = 'node.httpRequest.template' AND `tenant_id` = '000000');
|
||||
|
||||
INSERT INTO `sys_config` (`config_id`, `tenant_id`, `config_name`, `config_key`, `config_value`, `config_type`, `create_dept`, `create_by`, `create_time`, `update_by`, `update_time`, `remark`)
|
||||
SELECT 2027193296990957569, '000000', '文生图节点响应模板', 'node.image.template', '🎨 文生图节点：结束响应 - 图片URL: ', 'Y', 103, 1, '2026-02-27 09:25:20', 1, '2026-02-27 09:31:52', NULL
|
||||
FROM DUAL WHERE NOT EXISTS (SELECT 1 FROM `sys_config` WHERE `config_key` = 'node.image.template' AND `tenant_id` = '000000');
|
||||
|
||||
INSERT INTO `sys_config` (`config_id`, `tenant_id`, `config_name`, `config_key`, `config_value`, `config_type`, `create_dept`, `create_by`, `create_time`, `update_by`, `update_time`, `remark`)
|
||||
SELECT 2027193820393959425, '000000', '发送邮箱节点响应模板', 'node.mailsend.template', '📧 发送邮箱节点：结束响应 - ', 'Y', 103, 1, '2026-02-27 09:27:25', 1, '2026-02-27 09:32:05', NULL
|
||||
FROM DUAL WHERE NOT EXISTS (SELECT 1 FROM `sys_config` WHERE `config_key` = 'node.mailsend.template' AND `tenant_id` = '000000');
|
||||
|
||||
INSERT INTO `sys_config` (`config_id`, `tenant_id`, `config_name`, `config_key`, `config_value`, `config_type`, `create_dept`, `create_by`, `create_time`, `update_by`, `update_time`, `remark`)
|
||||
SELECT 2027194134438277122, '000000', '结束节点响应模板', 'node.end.template', '🔚 流程已执行完毕，如果您有其他需求，请随时重新发起请求。', 'Y', 103, 1, '2026-02-27 09:28:40', 1, '2026-02-27 09:32:53', NULL
|
||||
FROM DUAL WHERE NOT EXISTS (SELECT 1 FROM `sys_config` WHERE `config_key` = 'node.end.template' AND `tenant_id` = '000000');
|
||||
|
||||
INSERT INTO `sys_config` (`config_id`, `tenant_id`, `config_name`, `config_key`, `config_value`, `config_type`, `create_dept`, `create_by`, `create_time`, `update_by`, `update_time`, `remark`)
|
||||
SELECT 2027206492573335554, '000000', '人机交互节点响应模板', 'node.humanFeedback.template', '👤 人机交互节点：等待用户操作 - ', 'Y', 103, 1, '2026-02-27 10:17:46', 1, '2026-02-27 10:17:46', NULL
|
||||
FROM DUAL WHERE NOT EXISTS (SELECT 1 FROM `sys_config` WHERE `config_key` = 'node.humanFeedback.template' AND `tenant_id` = '000000');
|
||||
|
||||
INSERT INTO `sys_config` (`config_id`, `tenant_id`, `config_name`, `config_key`, `config_value`, `config_type`, `create_dept`, `create_by`, `create_time`, `update_by`, `update_time`, `remark`)
|
||||
SELECT 2027208880369647617, '000000', '条件分支节点响应模板', 'node.switch.template', '🔀 条件分支节点：触发 -> 跳转到节点 ', 'Y', 103, 1, '2026-02-27 10:27:15', 1, '2026-02-27 10:35:54', NULL
|
||||
FROM DUAL WHERE NOT EXISTS (SELECT 1 FROM `sys_config` WHERE `config_key` = 'node.switch.template' AND `tenant_id` = '000000');
|
||||
|
||||
INSERT INTO `sys_config` (`config_id`, `tenant_id`, `config_name`, `config_key`, `config_value`, `config_type`, `create_dept`, `create_by`, `create_time`, `update_by`, `update_time`, `remark`)
|
||||
SELECT 2027213914603995137, '000000', '大模型回答节点响应模板', 'node.llmAnswer.template', '🤖 LLM 节点 生成回答：', 'Y', 103, 1, '2026-02-27 10:47:16', 1, '2026-02-27 10:52:40', NULL
|
||||
FROM DUAL WHERE NOT EXISTS (SELECT 1 FROM `sys_config` WHERE `config_key` = 'node.llmAnswer.template' AND `tenant_id` = '000000');
|
||||
|
||||
INSERT INTO `sys_config` (`config_id`, `tenant_id`, `config_name`, `config_key`, `config_value`, `config_type`, `create_dept`, `create_by`, `create_time`, `update_by`, `update_time`, `remark`)
|
||||
SELECT 2027214387000066050, '000000', '关键词提取响应模板', 'node.keywordExtractor.template', '🔑 关键词提取节点 处理完成 ： ', 'Y', 103, 1, '2026-02-27 10:49:08', 1, '2026-02-27 10:52:08', NULL
|
||||
FROM DUAL WHERE NOT EXISTS (SELECT 1 FROM `sys_config` WHERE `config_key` = 'node.keywordExtractor.template' AND `tenant_id` = '000000');
|
||||
|
||||
INSERT INTO `sys_config` (`config_id`, `tenant_id`, `config_name`, `config_key`, `config_value`, `config_type`, `create_dept`, `create_by`, `create_time`, `update_by`, `update_time`, `remark`)
|
||||
SELECT 2027217577397391361, '000000', '工作流异常响应模板', 'node.exception.template', '🛑 工作流发生异常：', 'N', 103, 1, '2026-02-27 11:01:49', 1, '2026-02-27 11:02:01', NULL
|
||||
FROM DUAL WHERE NOT EXISTS (SELECT 1 FROM `sys_config` WHERE `config_key` = 'node.exception.template' AND `tenant_id` = '000000');
|
||||
@@ -1,92 +0,0 @@
|
||||
/*
|
||||
Navicat Premium Dump SQL
|
||||
|
||||
Source Server : localhost-mysql
|
||||
Source Server Type : MySQL
|
||||
Source Server Version : 80045 (8.0.45)
|
||||
Source Host : localhost:3306
|
||||
Source Schema : ruoyi-ai
|
||||
|
||||
Target Server Type : MySQL
|
||||
Target Server Version : 80045 (8.0.45)
|
||||
File Encoding : 65001
|
||||
|
||||
Date: 19/04/2026 13:36:41
|
||||
*/
|
||||
|
||||
SET NAMES utf8mb4;
|
||||
SET FOREIGN_KEY_CHECKS = 0;
|
||||
|
||||
-- ----------------------------
|
||||
-- Table structure for chat_model
|
||||
-- ----------------------------
|
||||
DROP TABLE IF EXISTS `chat_model`;
|
||||
CREATE TABLE `chat_model` (
|
||||
`id` bigint NOT NULL COMMENT '主键',
|
||||
`category` varchar(20) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT NULL COMMENT '模型分类',
|
||||
`model_name` varchar(50) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT NULL COMMENT '模型名称',
|
||||
`provider_code` varchar(20) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT NULL COMMENT '模型供应商',
|
||||
`model_describe` varchar(255) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT NULL COMMENT '模型描述',
|
||||
`model_dimension` int NULL DEFAULT NULL COMMENT '模型维度',
|
||||
`model_show` char(1) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT NULL COMMENT '是否显示',
|
||||
`api_host` varchar(255) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT NULL COMMENT '请求地址',
|
||||
`api_key` varchar(255) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT NULL COMMENT '密钥',
|
||||
`create_dept` bigint NULL DEFAULT NULL COMMENT '创建部门',
|
||||
`create_by` bigint NULL DEFAULT NULL COMMENT '创建者',
|
||||
`create_time` datetime NULL DEFAULT NULL COMMENT '创建时间',
|
||||
`update_by` bigint NULL DEFAULT NULL COMMENT '更新者',
|
||||
`update_time` datetime NULL DEFAULT NULL COMMENT '更新时间',
|
||||
`remark` varchar(500) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT NULL COMMENT '备注',
|
||||
`tenant_id` bigint NOT NULL DEFAULT 0 COMMENT '租户Id',
|
||||
PRIMARY KEY (`id`) USING BTREE
|
||||
) ENGINE = InnoDB CHARACTER SET = utf8mb4 COLLATE = utf8mb4_0900_ai_ci COMMENT = '模型管理' ROW_FORMAT = DYNAMIC;
|
||||
|
||||
-- ----------------------------
|
||||
-- Records of chat_model
|
||||
-- ----------------------------
|
||||
INSERT INTO `chat_model` VALUES (2000585866022060033, 'chat', 'zai-org/glm-5', 'ppio', 'zai-org/glm-5', NULL, 'Y', 'https://api.ppio.com/openai', 'sk_xx', 103, 1, '2025-12-15 23:16:54', 1, '2026-03-15 19:18:48', 'DeepSeek-V3.2 是一款在高效推理、复杂推理能力与智能体场景中表现突出的领先模型。其基于 DeepSeek Sparse Attention（DSA）稀疏注意力机制，在显著降低计算开销的同时优化长上下文性能；通过可扩展强化学习框架，整体能力达到 GPT-5 同级，高算力版本 V3.2-Speciale 更在推理表现上接近 Gemini-3.0-Pro；同时，模型依托大型智能体任务合成管线，具备更强的工具调用与多步骤决策能力，并在 2025 年 IMO 与 IOI 中取得金牌级表现。作为 MaaS 平台，我们已对 DeepSeek-V3.2 完成深度适配，通过动态调度、批处理加速、低延迟推理与企业级 SLA 保障，进一步增强其在企业生产环境中的稳定性、性价比与可控性，适用于搜索、问答、智能体、代码、数据处理等多类高价值场景。', 0);
|
||||
INSERT INTO `chat_model` VALUES (2007528268536287233, 'vector', 'baai/bge-m3', 'ppio', 'bge-m3', 1024, 'N', 'https://api.ppio.com/openai', 'sk_xx', 103, 1, '2026-01-04 03:03:32', 1, '2026-03-15 19:18:51', 'BGE-M3 是一款具备多维度能力的文本嵌入模型，可同时实现密集检索、多向量检索和稀疏检索三大核心功能。该模型设计上兼容超过100种语言，并支持从短句到长达8192词元的长文本等多种输入形式。在跨语言检索任务中，BGE-M3展现出显著优势，其性能在MIRACL、MKQA等国际基准测试中位居前列。此外，针对长文档检索场景，该模型在MLDR、NarritiveQA等数据集上的表现同样达到行业领先水平。', 0);
|
||||
INSERT INTO `chat_model` VALUES (2045735140488847361, 'chat', 'deepseek-chat', 'custom_api', 'deepseek-chat', NULL, NULL, 'https://api.deepseek.com', 'sk_xx', 103, 1, '2026-04-19 13:24:00', 1, '2026-04-19 13:24:00', 'deepseek对话模型', 0);
|
||||
|
||||
-- ----------------------------
|
||||
-- Table structure for chat_provider
|
||||
-- ----------------------------
|
||||
DROP TABLE IF EXISTS `chat_provider`;
|
||||
CREATE TABLE `chat_provider` (
|
||||
`id` bigint NOT NULL AUTO_INCREMENT COMMENT '主键',
|
||||
`provider_name` varchar(100) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NOT NULL COMMENT '厂商名称',
|
||||
`provider_code` varchar(50) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NOT NULL COMMENT '厂商编码',
|
||||
`provider_icon` varchar(255) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT NULL COMMENT '厂商图标',
|
||||
`provider_desc` varchar(500) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT NULL COMMENT '厂商描述',
|
||||
`api_host` varchar(255) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT NULL COMMENT 'API地址',
|
||||
`status` char(1) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT '0' COMMENT '状态（0正常 1停用）',
|
||||
`sort_order` int NULL DEFAULT 0 COMMENT '排序',
|
||||
`create_dept` bigint NULL DEFAULT NULL COMMENT '创建部门',
|
||||
`create_time` datetime NULL DEFAULT NULL COMMENT '创建时间',
|
||||
`create_by` varchar(64) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT '' COMMENT '创建者',
|
||||
`update_by` varchar(64) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT '' COMMENT '更新者',
|
||||
`update_time` datetime NULL DEFAULT NULL COMMENT '更新时间',
|
||||
`remark` varchar(500) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT NULL COMMENT '备注',
|
||||
`version` int NULL DEFAULT NULL COMMENT '版本',
|
||||
`del_flag` char(1) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT '0' COMMENT '删除标志',
|
||||
`update_ip` varchar(128) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT NULL COMMENT '更新IP',
|
||||
`tenant_id` bigint NOT NULL DEFAULT 0 COMMENT '租户Id',
|
||||
PRIMARY KEY (`id`) USING BTREE,
|
||||
UNIQUE INDEX `unique_provider_code`(`provider_code` ASC, `tenant_id` ASC, `del_flag` ASC) USING BTREE,
|
||||
INDEX `idx_status`(`status` ASC) USING BTREE
|
||||
) ENGINE = InnoDB AUTO_INCREMENT = 2045727230803255298 CHARACTER SET = utf8mb4 COLLATE = utf8mb4_0900_ai_ci COMMENT = '厂商管理表' ROW_FORMAT = DYNAMIC;
|
||||
|
||||
-- ----------------------------
|
||||
-- Records of chat_provider
|
||||
-- ----------------------------
|
||||
INSERT INTO `chat_provider` VALUES (1, 'OpenAI', 'openai', 'https://ruoyiai-1254149996.cos.ap-guangzhou.myqcloud.com/2026/02/25/01091be272334383a1efd9bc22b73ee6.png', 'OpenAI官方API服务商', 'https://api.openai.com', '0', 1, 103, '2025-12-14 21:48:11', '1', '1', '2026-02-25 20:46:59', 'OpenAI厂商', NULL, '0', NULL, 0);
|
||||
INSERT INTO `chat_provider` VALUES (11, '深度求索', 'deepseek', 'https://ruoyiai-1254149996.cos.ap-guangzhou.myqcloud.com/2026/04/19/5ba8c30f153246898a4d7dc7b846de8d.png', 'DeepSeek官方API', 'https://api.deepseek.com', '0', 0, 103, '2026-04-19 12:52:34', '1', '1', '2026-04-19 13:13:25', 'DeepSeek官方API', NULL, '0', NULL, 0);
|
||||
INSERT INTO `chat_provider` VALUES (12, '智谱AI', 'zhipu', 'https://ruoyiai-1254149996.cos.ap-guangzhou.myqcloud.com/2026/04/19/da071783c9284fdd9ed1ce1b57b3c75c.png', '智谱AI大模型服务', 'https://open.bigmodel.cn', '0', 4, 103, '2025-12-14 21:48:11', '1', '1', '2026-04-19 13:14:00', '智谱AI厂商', NULL, '0', NULL, 0);
|
||||
INSERT INTO `chat_provider` VALUES (13, '小米MIMO', 'xiaomi', 'https://ruoyiai-1254149996.cos.ap-guangzhou.myqcloud.com/2026/04/19/18dd39365ce244e3ae5e030da036760e.png', '小米官方API', 'https://api.xiaomimimo.com/anthropic/v1/messages', '0', 3, 103, '2026-04-19 12:48:24', '1', '1', '2026-04-19 13:14:22', '小米官方API', NULL, '0', NULL, 0);
|
||||
INSERT INTO `chat_provider` VALUES (14, '阿里云百炼', 'qianwen', 'https://ruoyiai-1254149996.cos.ap-guangzhou.myqcloud.com/2026/02/25/de2aa7e649de44f3ba5c6380ac6acd04.png', '阿里云百炼大模型服务', 'https://dashscope.aliyuncs.com', '0', 2, 103, '2025-12-14 21:48:11', '1', '1', '2026-02-25 20:49:13', '阿里云厂商', NULL, '0', NULL, 0);
|
||||
INSERT INTO `chat_provider` VALUES (15, 'PPIO', 'ppio', 'https://ruoyiai-1254149996.cos.ap-guangzhou.myqcloud.com/2026/02/25/049bb6a507174f73bba4b8d8b9e55b8a.png', 'api聚合厂商', 'https://api.ppinfra.com/openai', '0', 5, 103, '2025-12-15 23:13:42', '1', '1', '2026-02-25 20:49:01', 'api聚合厂商', NULL, '0', NULL, 0);
|
||||
INSERT INTO `chat_provider` VALUES (16, 'MiniMax', 'minimax', 'https://ruoyiai-1254149996.cos.ap-guangzhou.myqcloud.com/2026/04/19/fdc712e90e0e4d78b05862ad230884e5.png', 'MiniMax大模型服务，支持M2.7、M2.5等模型', 'https://api.minimax.io/v1', '0', 6, 103, '2026-04-19 12:50:12', '1', '1', '2026-04-19 13:14:59', 'MiniMax厂商', NULL, '0', NULL, 0);
|
||||
INSERT INTO `chat_provider` VALUES (17, 'ollama', 'ollama', 'https://ruoyiai-1254149996.cos.ap-guangzhou.myqcloud.com/2026/02/25/afecabebc8014d80b0f06b4796a74c5d.png', 'ollama大模型', 'http://127.0.0.1:11434', '0', 7, 103, '2025-12-14 21:48:11', '1', '1', '2026-02-25 20:48:48', 'ollama厂商', NULL, '0', NULL, 0);
|
||||
INSERT INTO `chat_provider` VALUES (18, '自定义厂商', 'custom_api', 'https://ruoyiai-1254149996.cos.ap-guangzhou.myqcloud.com/2026/04/19/c1a8e122510f4e2f90deb36958af710b.png', 'OPENAI兼容格式', '自定义', '0', 8, 103, '2026-04-19 12:35:57', '1', '1', '2026-04-19 13:17:20', 'OPENAI兼容格式', NULL, '0', NULL, 0);
|
||||
|
||||
SET FOREIGN_KEY_CHECKS = 1;
|
||||
@@ -1,46 +0,0 @@
|
||||
/*
|
||||
Navicat Premium Dump SQL
|
||||
|
||||
Source Server : localhost-mysql
|
||||
Source Server Type : MySQL
|
||||
Source Server Version : 80045 (8.0.45)
|
||||
Source Host : localhost:3306
|
||||
Source Schema : ruoyi-ai
|
||||
|
||||
Target Server Type : MySQL
|
||||
Target Server Version : 80045 (8.0.45)
|
||||
File Encoding : 65001
|
||||
|
||||
Date: 20/04/2026 15:30:00
|
||||
*/
|
||||
|
||||
SET NAMES utf8mb4;
|
||||
SET FOREIGN_KEY_CHECKS = 0;
|
||||
|
||||
-- ----------------------------
|
||||
-- 新增：重排序模型（chat_model）
|
||||
-- ----------------------------
|
||||
INSERT INTO `chat_model`
|
||||
(id, category, model_name, provider_code, model_describe, model_dimension, model_show, api_host, api_key, create_dept, create_by, create_time, update_by, update_time, remark, tenant_id)
|
||||
VALUES(2045071617578237953, 'rerank', 'rerank', 'zhipu', '智谱重排序', NULL, 'Y', 'https://open.bigmodel.cn', 'e9xx', 103, 1, '2026-04-17 17:27:24', 1, '2026-04-20 15:21:48', '智谱重排序', 0);
|
||||
|
||||
INSERT INTO `chat_model`
|
||||
(id, category, model_name, provider_code, model_describe, model_dimension, model_show, api_host, api_key, create_dept, create_by, create_time, update_by, update_time, remark, tenant_id)
|
||||
VALUES(2046119803482902530, 'rerank', 'qwen3-rerank', 'qianwen', '千问3重排序', NULL, NULL, 'https://dashscope.aliyuncs.com', 'sk-xx', 103, 1, '2026-04-20 14:52:31', 1, '2026-04-20 15:03:13', '千问3文本重排序', 0);
|
||||
|
||||
-- ----------------------------
|
||||
-- 新增：字典类型 - 重排序模型分类
|
||||
-- ----------------------------
|
||||
INSERT INTO `sys_dict_data`
|
||||
(dict_code, tenant_id, dict_sort, dict_label, dict_value, dict_type, css_class, list_class, is_default, create_dept, create_by, create_time, update_by, update_time, remark)
|
||||
VALUES(2045070879435259905, '000000', 4, '重排序', 'rerank', 'chat_model_category', NULL, '#000000', 'N', 103, 1, '2026-04-17 17:24:28', 1, '2026-04-19 01:02:20', '重排序模型');
|
||||
|
||||
-- ----------------------------
|
||||
-- 修改表：knowledge_info 增加重排序相关字段
|
||||
-- ----------------------------
|
||||
ALTER TABLE `knowledge_info` ADD COLUMN `enable_rerank` tinyint DEFAULT 0 NULL COMMENT '是否启用重排序（0否 1是）';
|
||||
ALTER TABLE `knowledge_info` ADD COLUMN `rerank_score_threshold` double NULL COMMENT '重排序相关性分数阈值';
|
||||
ALTER TABLE `knowledge_info` ADD COLUMN `rerank_top_n` int NULL COMMENT '重排序后返回的文档数量';
|
||||
ALTER TABLE `knowledge_info` ADD COLUMN `rerank_model` varchar(100) NULL COMMENT '重排序模型名称';
|
||||
|
||||
SET FOREIGN_KEY_CHECKS = 1;
|
||||
@@ -1,14 +0,0 @@
|
||||
-- 为知识库信息表新增检索配置字段 (剔除了已存在的重排字段)
|
||||
ALTER TABLE knowledge_info
|
||||
ADD COLUMN similarity_threshold DOUBLE DEFAULT 0.5 COMMENT '相似度阈值'
|
||||
AFTER retrieve_limit;
|
||||
|
||||
ALTER TABLE knowledge_info ADD COLUMN enable_hybrid tinyint(1) DEFAULT 0 COMMENT '是否启用混合检索';
|
||||
ALTER TABLE knowledge_info ADD COLUMN hybrid_alpha double DEFAULT 0.5 COMMENT '混合检索权重比例 (0.0=纯向量, 1.0=纯关键词)';
|
||||
|
||||
-- 为知识片段表增加全文索引及关联ID
|
||||
ALTER TABLE knowledge_fragment ADD COLUMN knowledge_id bigint COMMENT '知识库ID';
|
||||
ALTER TABLE knowledge_fragment ADD FULLTEXT INDEX ft_content (content) WITH PARSER ngram;
|
||||
|
||||
-- 为知识库附件表增加解析状态字段
|
||||
ALTER TABLE `knowledge_attach` ADD COLUMN `status` TINYINT DEFAULT 0 COMMENT '解析状态: 0待解析, 1解析中, 2已解析, 3解析失败';
|
||||
Reference in New Issue
Block a user