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v2025.11(j
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24
README.md
24
README.md
|
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@ -31,8 +31,8 @@
|
|||
| 【完整版】[yudao-cloud](https://gitee.com/zhijiantianya/yudao-cloud) | [`master`](https://gitee.com/zhijiantianya/yudao-cloud/tree/master/) 分支 | [`master-jdk17`](https://gitee.com/zhijiantianya/yudao-cloud/tree/master-jdk17/) 分支 |
|
||||
| 【精简版】[yudao-cloud-mini](https://gitee.com/yudaocode/yudao-cloud-mini) | [`master`](https://gitee.com/yudaocode/yudao-cloud-mini/tree/master/) 分支 | [`master-jdk17`](https://gitee.com/yudaocode/yudao-cloud-mini/tree/master-jdk17/) 分支 |
|
||||
|
||||
* 【完整版】：包括系统功能、基础设施、会员中心、数据报表、工作流程、商城系统、微信公众号、CRM、ERP、MES、AI 大模型、IoT 物联网 等功能
|
||||
* 【精简版】：只包括系统功能、基础设施功能，不包括会员中心、数据报表、工作流程、商城系统、微信公众号、CRM、ERP、MES、AI 大模型、IoT 物联网 等功能
|
||||
* 【完整版】：包括系统功能、基础设施、会员中心、数据报表、工作流程、商城系统、微信公众号、CRM、ERP 等功能
|
||||
* 【精简版】：只包括系统功能、基础设施功能，不包括会员中心、数据报表、工作流程、商城系统、微信公众号、CRM、ERP 等功能
|
||||
|
||||
可参考 [《迁移文档》](https://cloud.iocoder.cn/migrate-module/) ，只需要 5-10 分钟，即可将【完整版】按需迁移到【精简版】
|
||||
|
||||
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@ -115,7 +115,7 @@
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|||
|
||||
* 通用模块（必选）：系统功能、基础设施
|
||||
* 通用模块（可选）：工作流程、支付系统、数据报表、会员中心
|
||||
* 业务系统（按需）：ERP 系统、CRM 系统、MES 系统、商城系统、微信公众号、AI 大模型、IoT 物联网
|
||||
* 业务系统（按需）：ERP 系统、CRM 系统、商城系统、微信公众号、AI 大模型
|
||||
|
||||
> 友情提示：本项目基于 RuoYi-Vue 修改，**重构优化**后端的代码，**美化**前端的界面。
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>
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||||
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@ -279,14 +279,6 @@
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|||
|
||||
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||||
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||||
### MES 系统
|
||||
|
||||
演示地址：<https://cloud.iocoder.cn/mes-preview/>
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||||
|
||||
|
||||
|
||||
|
||||
|
||||
### AI 大模型
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||||
|
||||
演示地址：<https://cloud.iocoder.cn/ai-preview/>
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||||
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@ -295,14 +287,6 @@
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|||
|
||||
|
||||
|
||||
### IoT 物联网
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||||
|
||||
演示地址：<https://cloud.iocoder.cn/iot/build>
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||||
|
||||
|
||||
|
||||
|
||||
|
||||
## 🐨 技术栈
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### 微服务
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@ -320,9 +304,7 @@
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|||
| `yudao-module-mall` | 商城系统的 Module 模块 |
|
||||
| `yudao-module-erp` | ERP 系统的 Module 模块 |
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||||
| `yudao-module-crm` | CRM 系统的 Module 模块 |
|
||||
| `yudao-module-mes` | MES 系统的 Module 模块 |
|
||||
| `yudao-module-ai` | AI 大模型的 Module 模块 |
|
||||
| `yudao-module-iot` | IoT 物联网的 Module 模块 |
|
||||
| `yudao-module-mp` | 微信公众号的 Module 模块 |
|
||||
| `yudao-module-report` | 大屏报表 Module 模块 |
|
||||
|
||||
|
|
|
|||
5
pom.xml
5
pom.xml
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@ -24,10 +24,9 @@
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|||
<module>yudao-module-mall</module>
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||||
<module>yudao-module-erp</module>
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||||
<module>yudao-module-crm</module>
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||||
<module>yudao-module-iot</module>
|
||||
<module>yudao-module-mes</module>
|
||||
<!-- 友情提示：基于 Spring AI 实现 LLM 大模型的接入，需要使用 JDK17 版本，详细可见 https://doc.iocoder.cn/ai/build/ -->
|
||||
<!-- <module>yudao-module-ai</module>-->
|
||||
<module>yudao-module-iot</module>
|
||||
</modules>
|
||||
|
||||
<name>${project.artifactId}</name>
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||||
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|
@ -35,7 +34,7 @@
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|||
<url>https://github.com/YunaiV/ruoyi-vue-pro</url>
|
||||
|
||||
<properties>
|
||||
<revision>2026.04-jdk8-SNAPSHOT</revision>
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||||
<revision>2025.11-jdk8-SNAPSHOT</revision>
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||||
<!-- Maven 相关 -->
|
||||
<java.version>1.8</java.version>
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||||
<maven.compiler.source>${java.version}</maven.compiler.source>
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||||
|
|
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|||
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@ -62,10 +62,6 @@ def load_and_clean(sql_file: str) -> str:
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content = open(sql_file, encoding="utf-8").read()
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||||
for replace_pair in REPLACE_PAIR_LIST:
|
||||
content = content.replace(*replace_pair)
|
||||
# 移除所有 CHARACTER SET / COLLATE 变体 (utf8mb3、utf8 等)
|
||||
content = re.sub(r" CHARACTER SET \w+ COLLATE \w+", "", content)
|
||||
content = re.sub(r" CHARACTER SET \w+", "", content)
|
||||
content = re.sub(r" COLLATE \w+", "", content)
|
||||
# 移除索引字段的前缀长度定义，例如: `name`(32) -> `name`
|
||||
# 移除索引定义上的 USING BTREE COMMENT 部分
|
||||
# 相关 issue：https://t.zsxq.com/96IFc 、https://t.zsxq.com/rC3A3
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||||
|
|
@ -81,11 +77,7 @@ class Convertor(ABC):
|
|||
self.src = src
|
||||
self.db_type = db_type
|
||||
self.content = load_and_clean(self.src)
|
||||
# original_content 保留原始 COMMENT 信息，用于注释提取
|
||||
self.original_content = open(src, encoding="utf-8").read()
|
||||
# 剥离列级 COMMENT 以避免 COMMENT 值内的分号截断 CREATE TABLE 正则
|
||||
content_no_comment = re.sub(r" COMMENT '(?:[^'\\]|\\.)*'", "", self.content)
|
||||
self.table_script_list = re.findall(r"CREATE TABLE [^;]*;", content_no_comment)
|
||||
self.table_script_list = re.findall(r"CREATE TABLE [^;]*;", self.content)
|
||||
|
||||
@abstractmethod
|
||||
def translate_type(self, type: str, size: Optional[Union[int, Tuple[int]]]) -> str:
|
||||
|
|
@ -190,8 +182,7 @@ class Convertor(ABC):
|
|||
head = head.strip().replace("`", "").lower()
|
||||
tail = tail.strip().replace(r"\"", '"')
|
||||
# tail = tail.replace("b'0'", "'0'").replace("b'1'", "'1'")
|
||||
col_part = f" {head}" if head else ""
|
||||
yield f"INSERT INTO {table_name.lower()}{col_part} VALUES {tail}"
|
||||
yield f"INSERT INTO {table_name.lower()} {head} VALUES {tail}"
|
||||
|
||||
@staticmethod
|
||||
def index(ddl: Dict) -> Generator:
|
||||
|
|
@ -236,8 +227,7 @@ class Convertor(ABC):
|
|||
yield field, comment_string
|
||||
|
||||
def table_comment(self, table_sql: str) -> str:
|
||||
# 兼容 COMMENT='xxx' / COMMENT = 'xxx' 等等号两侧空格变体；允许 COMMENT 内含转义单引号
|
||||
match = re.search(r"COMMENT\s*=\s*'((?:[^'\\]|\\.)*)'", table_sql)
|
||||
match = re.search(r"COMMENT \='([^']+)';", table_sql)
|
||||
return match.group(1) if match else None
|
||||
|
||||
def print(self):
|
||||
|
|
@ -261,9 +251,7 @@ class Convertor(ABC):
|
|||
|
||||
error_scripts = []
|
||||
for table_sql in self.table_script_list:
|
||||
# 剥离 COMMENT 子句避免 DDLParser 无法处理中文等特殊字符
|
||||
table_sql_for_parse = re.sub(r"\s+COMMENT\s+'[^']*'", "", table_sql)
|
||||
ddl = DDLParser(table_sql_for_parse.replace("`", "")).run()
|
||||
ddl = DDLParser(table_sql.replace("`", "")).run()
|
||||
|
||||
# 如果parse失败, 需要跟进
|
||||
if len(ddl) == 0:
|
||||
|
|
@ -278,23 +266,17 @@ class Convertor(ABC):
|
|||
continue
|
||||
|
||||
# 解析注释
|
||||
# 从原始 SQL 提取注释（支持中文等 DDLParser 不能处理的内容）
|
||||
# 按表名定位完整建表段（以「换行 + )」起始的 ENGINE 行作为终止），避免被列 COMMENT 内的分号截断
|
||||
orig_match = re.search(
|
||||
rf"CREATE TABLE\s+`{re.escape(table_name)}`[\s\S]*?\n\)[^;]*;",
|
||||
self.original_content,
|
||||
flags=re.IGNORECASE,
|
||||
)
|
||||
orig_table_sql = orig_match.group() if orig_match else table_sql
|
||||
comments_dict = dict(Convertor.filed_comments(orig_table_sql))
|
||||
for column in table_ddl["columns"]:
|
||||
column["comment"] = comments_dict.get(column["name"], "")
|
||||
table_ddl["comment"] = self.table_comment(orig_table_sql) or ""
|
||||
column["comment"] = bytes(column["comment"], "utf-8").decode(
|
||||
r"unicode_escape"
|
||||
)[1:-1]
|
||||
table_ddl["comment"] = bytes(table_ddl["comment"], "utf-8").decode(
|
||||
r"unicode_escape"
|
||||
)[1:-1]
|
||||
|
||||
# 为每个表生成个6个基本部分
|
||||
create = self.gen_create(table_ddl)
|
||||
has_id = any(col["name"].lower() == "id" for col in table_ddl["columns"])
|
||||
pk = self.gen_pk(table_name) if has_id else ""
|
||||
pk = self.gen_pk(table_name)
|
||||
uk = self.gen_uk(table_ddl)
|
||||
index = self.gen_index(table_ddl)
|
||||
comment = self.gen_comment(table_ddl)
|
||||
|
|
@ -338,31 +320,25 @@ class PostgreSQLConvertor(Convertor):
|
|||
|
||||
if type == "varchar":
|
||||
return f"varchar({size})"
|
||||
if type in ("int", "int unsigned", "int unsigned zerofill"):
|
||||
if type in ("int", "int unsigned"):
|
||||
return "int4"
|
||||
if type in ("bigint", "bigint unsigned"):
|
||||
return "int8"
|
||||
if type in ("tinyint", "smallint", "tinyint unsigned"):
|
||||
return "int2"
|
||||
if type in ("datetime", "timestamp null"):
|
||||
if type == "datetime":
|
||||
return "timestamp"
|
||||
if type == "date":
|
||||
return "date"
|
||||
if type == "json":
|
||||
return "jsonb"
|
||||
if type == "double":
|
||||
return "double precision"
|
||||
if type == "timestamp":
|
||||
return f"timestamp({size})" if size else "timestamp"
|
||||
return f"timestamp({size})"
|
||||
if type == "bit":
|
||||
return "bool"
|
||||
if type in ("tinyint", "smallint"):
|
||||
return "int2"
|
||||
if type in ("text", "longtext"):
|
||||
return "text"
|
||||
if type in ("blob", "mediumblob", "longblob"):
|
||||
if type in ("blob", "mediumblob"):
|
||||
return "bytea"
|
||||
if type == "decimal":
|
||||
return (
|
||||
f"numeric({','.join(str(s) for s in size)})" if size and len(size) else "numeric"
|
||||
f"numeric({','.join(str(s) for s in size)})" if len(size) else "numeric"
|
||||
)
|
||||
|
||||
def gen_create(self, ddl: Dict) -> str:
|
||||
|
|
@ -375,10 +351,6 @@ class PostgreSQLConvertor(Convertor):
|
|||
|
||||
type = col["type"].lower()
|
||||
full_type = self.translate_type(type, col["size"])
|
||||
if full_type is None:
|
||||
raise NotImplementedError(
|
||||
f"未支持的类型: '{col['type']}' (列: {name}, 表: {ddl['table_name']})"
|
||||
)
|
||||
nullable = "NULL" if col["nullable"] else "NOT NULL"
|
||||
default = f"DEFAULT {col['default']}" if col["default"] is not None else ""
|
||||
return f"{name} {full_type} {nullable} {default}"
|
||||
|
|
@ -435,8 +407,6 @@ CREATE TABLE {table_name} (
|
|||
"""生成 insert 语句，以及根据最后的 insert id+1 生成 Sequence"""
|
||||
|
||||
inserts = list(Convertor.inserts(table_name, self.content))
|
||||
# 转换 MySQL 字符串转义为 PostgreSQL 格式：\\ -> \，\' -> ''
|
||||
inserts = [re.sub(r"\\\\|\\'", lambda m: "\\" if m.group() == "\\\\" else "''", s) for s in inserts]
|
||||
## 生成 insert 脚本
|
||||
script = ""
|
||||
last_id = 0
|
||||
|
|
|
|||
|
|
@ -14,32 +14,32 @@
|
|||
<url>https://github.com/YunaiV/ruoyi-vue-pro</url>
|
||||
|
||||
<properties>
|
||||
<revision>2026.04-jdk8-SNAPSHOT</revision>
|
||||
<revision>2025.11-jdk8-SNAPSHOT</revision>
|
||||
<flatten-maven-plugin.version>1.6.0</flatten-maven-plugin.version>
|
||||
<!-- 统一依赖管理 -->
|
||||
<spring.framework.version>5.3.39</spring.framework.version>
|
||||
<spring.security.version>5.8.16</spring.security.version>
|
||||
<spring.boot.version>2.7.18</spring.boot.version>
|
||||
<spring.cloud.version>2021.0.9</spring.cloud.version> <!-- Spring Boot 2.X 最多使用 2021.0.9 版本 -->
|
||||
<spring.cloud.alibaba.version>2021.0.6.2</spring.cloud.alibaba.version> <!-- Spring Boot 2.X 最多使用 2021.0.6.2 版本 -->
|
||||
<spring.cloud.version>2021.0.9</spring.cloud.version>
|
||||
<spring.cloud.alibaba.version>2021.0.6.2</spring.cloud.alibaba.version>
|
||||
<!-- Web 相关 -->
|
||||
<servlet.versoin>2.5</servlet.versoin>
|
||||
<springdoc.version>1.8.0</springdoc.version>
|
||||
<knife4j.version>4.5.0</knife4j.version>
|
||||
<!-- DB 相关 -->
|
||||
<druid.version>1.2.28</druid.version>
|
||||
<druid.version>1.2.27</druid.version>
|
||||
<mybatis.version>3.5.19</mybatis.version>
|
||||
<mybatis-plus.version>3.5.16</mybatis-plus.version>
|
||||
<mybatis-plus-join.version>1.5.7</mybatis-plus-join.version>
|
||||
<dynamic-datasource.version>4.5.0</dynamic-datasource.version>
|
||||
<mybatis-plus.version>3.5.14</mybatis-plus.version>
|
||||
<mybatis-plus-join.version>1.5.4</mybatis-plus-join.version>
|
||||
<dynamic-datasource.version>4.3.1</dynamic-datasource.version>
|
||||
<easy-trans.version>3.0.6</easy-trans.version>
|
||||
<redisson.version>4.3.1</redisson.version>
|
||||
<redisson.version>3.52.0</redisson.version>
|
||||
<dm8.jdbc.version>8.1.3.140</dm8.jdbc.version>
|
||||
<kingbase.jdbc.version>9.0.1.jre7</kingbase.jdbc.version>
|
||||
<opengauss.jdbc.version>7.0.0-RC3-og</opengauss.jdbc.version>
|
||||
<taos.version>3.8.3</taos.version>
|
||||
<kingbase.jdbc.version>8.6.0</kingbase.jdbc.version>
|
||||
<opengauss.jdbc.version>5.1.0</opengauss.jdbc.version>
|
||||
<taos.version>3.7.8</taos.version>
|
||||
<!-- 消息队列 -->
|
||||
<rocketmq-spring.version>2.3.5</rocketmq-spring.version>
|
||||
<rocketmq-spring.version>2.3.4</rocketmq-spring.version>
|
||||
<!-- RPC 相关 -->
|
||||
<!-- Config 配置中心相关 -->
|
||||
<!-- Job 定时任务相关 -->
|
||||
|
|
@ -55,41 +55,35 @@
|
|||
<jedis-mock.version>1.1.12</jedis-mock.version>
|
||||
<mockito-inline.version>4.11.0</mockito-inline.version>
|
||||
<!-- Bpm 工作流相关 -->
|
||||
<flowable.version>6.8.1</flowable.version>
|
||||
<flowable.version>6.8.0</flowable.version>
|
||||
<!-- 工具类相关 -->
|
||||
<anji-plus-captcha.version>1.4.0</anji-plus-captcha.version>
|
||||
<jsoup.version>1.22.2</jsoup.version>
|
||||
<lombok.version>1.18.46</lombok.version>
|
||||
<jsoup.version>1.21.2</jsoup.version>
|
||||
<lombok.version>1.18.42</lombok.version>
|
||||
<mapstruct.version>1.6.3</mapstruct.version>
|
||||
<hutool-5.version>5.8.44</hutool-5.version>
|
||||
<hutool-5.version>5.8.41</hutool-5.version>
|
||||
<fastexcel.version>1.3.0</fastexcel.version>
|
||||
<velocity.version>2.4</velocity.version> <!-- JDK8 不能从 2.4 升级到 2.4.1，会报包不存在！！！！ -->
|
||||
<fastjson.version>1.2.83</fastjson.version>
|
||||
<guava.version>33.6.0-jre</guava.version>
|
||||
<guava.version>33.5.0-jre</guava.version>
|
||||
<transmittable-thread-local.version>2.14.5</transmittable-thread-local.version>
|
||||
<commons-net.version>3.13.0</commons-net.version>
|
||||
<commons-net.version>3.12.0</commons-net.version>
|
||||
<commons-lang3.version>3.20.0</commons-lang3.version>
|
||||
<jsch.version>2.28.2</jsch.version>
|
||||
<jsch.version>2.27.6</jsch.version>
|
||||
<tika-core.version>2.9.3</tika-core.version> <!-- JDK8 不能从 2.9.3 升级到 3.X，会报 JDK8 不支持 -->
|
||||
<ip2region.version>2.7.0</ip2region.version>
|
||||
<bizlog-sdk.version>3.0.6</bizlog-sdk.version>
|
||||
<reflections.version>0.10.2</reflections.version>
|
||||
<netty.version>4.2.12.Final</netty.version>
|
||||
<netty.version>4.2.7.Final</netty.version>
|
||||
<mqtt.version>1.2.5</mqtt.version>
|
||||
<vertx.version>4.5.26</vertx.version>
|
||||
<okhttp.version>4.12.0</okhttp.version>
|
||||
<californium.version>3.14.0</californium.version>
|
||||
<j2mod.version>3.3.0</j2mod.version>
|
||||
<httpclient5.version>5.5.2</httpclient5.version> <!-- WxJava 4.8.x 需要 HttpClient5 5.4+，Spring Boot 2.7 默认 5.1.4 不兼容 -->
|
||||
<httpcore5.version>5.3.6</httpcore5.version> <!-- 配套 httpclient5 5.5.2，Spring Boot 2.7 默认 5.1.5 不兼容 -->
|
||||
<vertx.version>4.5.22</vertx.version>
|
||||
<!-- 三方云服务相关 -->
|
||||
<awssdk.version>2.44.0</awssdk.version>
|
||||
<awssdk.version>2.39.2</awssdk.version>
|
||||
<justauth.version>1.16.7</justauth.version>
|
||||
<justauth-starter.version>1.4.0</justauth-starter.version>
|
||||
<jimureport.version>2.3.2</jimureport.version>
|
||||
<jimubi.version>2.3.2</jimubi.version>
|
||||
<weixin-java.version>4.8.2-20260501.180637</weixin-java.version>
|
||||
<alipay-sdk-java.version>4.40.771.ALL</alipay-sdk-java.version>
|
||||
<jimureport.version>2.1.3</jimureport.version>
|
||||
<jimubi.version>2.2.0</jimubi.version>
|
||||
<weixin-java.version>4.7.8-20251117.120146</weixin-java.version>
|
||||
<!-- 专属于 JDK8 安全漏洞升级 -->
|
||||
<logback.version>1.2.13</logback.version> <!-- 无法使用 1.3.X 版本，启动会报错 -->
|
||||
</properties>
|
||||
|
|
@ -310,7 +304,7 @@
|
|||
<exclusion>
|
||||
<groupId>org.redisson</groupId>
|
||||
<!-- 使用 redisson-spring-data-27 替代，解决 Tuple NoClassDefFoundError 报错 -->
|
||||
<artifactId>redisson-spring-data-40</artifactId> <!-- Redisson 4.x 默认依赖 spring-data-40，排除后使用 spring-data-27 适配 Spring Boot 2.7 -->
|
||||
<artifactId>redisson-spring-data-35</artifactId>
|
||||
</exclusion>
|
||||
</exclusions>
|
||||
</dependency>
|
||||
|
|
@ -373,6 +367,7 @@
|
|||
<artifactId>yudao-spring-boot-starter-mq</artifactId>
|
||||
<version>${revision}</version>
|
||||
</dependency>
|
||||
|
||||
<dependency>
|
||||
<groupId>org.apache.rocketmq</groupId>
|
||||
<artifactId>rocketmq-spring-boot-starter</artifactId>
|
||||
|
|
@ -630,6 +625,62 @@
|
|||
<version>${reflections.version}</version>
|
||||
</dependency>
|
||||
|
||||
<!-- 三方云服务相关 -->
|
||||
<dependency>
|
||||
<groupId>software.amazon.awssdk</groupId>
|
||||
<artifactId>s3</artifactId>
|
||||
<version>${awssdk.version}</version>
|
||||
</dependency>
|
||||
|
||||
<dependency>
|
||||
<groupId>com.github.binarywang</groupId>
|
||||
<artifactId>weixin-java-pay</artifactId>
|
||||
<version>${weixin-java.version}</version>
|
||||
</dependency>
|
||||
<dependency>
|
||||
<groupId>com.github.binarywang</groupId>
|
||||
<artifactId>wx-java-mp-spring-boot-starter</artifactId>
|
||||
<version>${weixin-java.version}</version>
|
||||
</dependency>
|
||||
<dependency>
|
||||
<groupId>com.github.binarywang</groupId>
|
||||
<artifactId>wx-java-miniapp-spring-boot-starter</artifactId>
|
||||
<version>${weixin-java.version}</version>
|
||||
</dependency>
|
||||
|
||||
<dependency>
|
||||
<groupId>me.zhyd.oauth</groupId>
|
||||
<artifactId>JustAuth</artifactId> <!-- 社交登陆（例如说，个人微信、企业微信等等） -->
|
||||
<version>${justauth.version}</version>
|
||||
</dependency>
|
||||
<dependency>
|
||||
<groupId>com.xkcoding.justauth</groupId>
|
||||
<artifactId>justauth-spring-boot-starter</artifactId>
|
||||
<version>${justauth-starter.version}</version>
|
||||
</dependency>
|
||||
|
||||
<!-- 积木报表-->
|
||||
<dependency>
|
||||
<groupId>org.jeecgframework.jimureport</groupId>
|
||||
<artifactId>jimureport-spring-boot-starter</artifactId>
|
||||
<version>${jimureport.version}</version>
|
||||
</dependency>
|
||||
<dependency>
|
||||
<groupId>org.jeecgframework.jimureport</groupId>
|
||||
<artifactId>jimubi-spring-boot-starter</artifactId>
|
||||
<version>${jimubi.version}</version>
|
||||
<exclusions>
|
||||
<exclusion>
|
||||
<groupId>com.github.jsqlparser</groupId>
|
||||
<artifactId>jsqlparser</artifactId>
|
||||
</exclusion>
|
||||
<exclusion>
|
||||
<groupId>cn.hutool</groupId>
|
||||
<artifactId>hutool-core</artifactId>
|
||||
</exclusion>
|
||||
</exclusions>
|
||||
</dependency>
|
||||
|
||||
<!-- Vert.x -->
|
||||
<dependency>
|
||||
<groupId>io.vertx</groupId>
|
||||
|
|
@ -654,123 +705,16 @@
|
|||
<version>${mqtt.version}</version>
|
||||
</dependency>
|
||||
|
||||
<!-- OkHttp -->
|
||||
<!-- 专属于 JDK8 安全漏洞升级 -->
|
||||
<dependency>
|
||||
<groupId>com.squareup.okhttp3</groupId>
|
||||
<artifactId>okhttp</artifactId>
|
||||
<version>${okhttp.version}</version>
|
||||
<groupId>ch.qos.logback</groupId>
|
||||
<artifactId>logback-core</artifactId>
|
||||
<version>${logback.version}</version>
|
||||
</dependency>
|
||||
<dependency>
|
||||
<groupId>com.squareup.okhttp3</groupId>
|
||||
<artifactId>mockwebserver</artifactId>
|
||||
<version>${okhttp.version}</version>
|
||||
<scope>test</scope>
|
||||
</dependency>
|
||||
|
||||
<!-- CoAP - Eclipse Californium -->
|
||||
<dependency>
|
||||
<groupId>org.eclipse.californium</groupId>
|
||||
<artifactId>californium-core</artifactId>
|
||||
<version>${californium.version}</version>
|
||||
</dependency>
|
||||
|
||||
<!-- Modbus 相关 -->
|
||||
<dependency>
|
||||
<groupId>com.ghgande</groupId>
|
||||
<artifactId>j2mod</artifactId>
|
||||
<version>${j2mod.version}</version>
|
||||
</dependency>
|
||||
|
||||
<!-- WxJava 4.8.x 需要 HttpClient5 5.4+，覆盖 Spring Boot 2.7 默认的 5.1.4 -->
|
||||
<dependency>
|
||||
<groupId>org.apache.httpcomponents.client5</groupId>
|
||||
<artifactId>httpclient5</artifactId>
|
||||
<version>${httpclient5.version}</version>
|
||||
</dependency>
|
||||
<dependency>
|
||||
<groupId>org.apache.httpcomponents.core5</groupId>
|
||||
<artifactId>httpcore5</artifactId>
|
||||
<version>${httpcore5.version}</version>
|
||||
</dependency>
|
||||
<dependency>
|
||||
<groupId>org.apache.httpcomponents.core5</groupId>
|
||||
<artifactId>httpcore5-h2</artifactId>
|
||||
<version>${httpcore5.version}</version>
|
||||
</dependency>
|
||||
|
||||
<!-- 三方云服务相关 -->
|
||||
<dependency>
|
||||
<groupId>software.amazon.awssdk</groupId>
|
||||
<artifactId>s3</artifactId>
|
||||
<version>${awssdk.version}</version>
|
||||
</dependency>
|
||||
|
||||
<dependency>
|
||||
<groupId>me.zhyd.oauth</groupId>
|
||||
<artifactId>JustAuth</artifactId> <!-- 社交登陆（例如说，个人微信、企业微信等等） -->
|
||||
<version>${justauth.version}</version>
|
||||
</dependency>
|
||||
<dependency>
|
||||
<groupId>com.xkcoding.justauth</groupId>
|
||||
<artifactId>justauth-spring-boot-starter</artifactId>
|
||||
<version>${justauth-starter.version}</version>
|
||||
<exclusions>
|
||||
<!-- 移除，避免和项目里的 hutool-all 冲突 -->
|
||||
<exclusion>
|
||||
<groupId>cn.hutool</groupId>
|
||||
<artifactId>hutool-core</artifactId>
|
||||
</exclusion>
|
||||
</exclusions>
|
||||
</dependency>
|
||||
|
||||
<dependency>
|
||||
<groupId>com.alipay.sdk</groupId>
|
||||
<artifactId>alipay-sdk-java</artifactId>
|
||||
<version>${alipay-sdk-java.version}</version>
|
||||
<exclusions>
|
||||
<exclusion>
|
||||
<groupId>org.bouncycastle</groupId>
|
||||
<artifactId>bcprov-jdk15on</artifactId>
|
||||
</exclusion>
|
||||
</exclusions>
|
||||
</dependency>
|
||||
|
||||
<dependency>
|
||||
<groupId>com.github.binarywang</groupId>
|
||||
<artifactId>weixin-java-pay</artifactId>
|
||||
<version>${weixin-java.version}</version>
|
||||
</dependency>
|
||||
<dependency>
|
||||
<groupId>com.github.binarywang</groupId>
|
||||
<artifactId>wx-java-mp-spring-boot-starter</artifactId>
|
||||
<version>${weixin-java.version}</version>
|
||||
</dependency>
|
||||
<dependency>
|
||||
<groupId>com.github.binarywang</groupId>
|
||||
<artifactId>wx-java-miniapp-spring-boot-starter</artifactId>
|
||||
<version>${weixin-java.version}</version>
|
||||
</dependency>
|
||||
|
||||
<!-- 积木报表-->
|
||||
<dependency>
|
||||
<groupId>org.jeecgframework.jimureport</groupId>
|
||||
<artifactId>jimureport-spring-boot-starter</artifactId>
|
||||
<version>${jimureport.version}</version>
|
||||
</dependency>
|
||||
<dependency>
|
||||
<groupId>org.jeecgframework.jimureport</groupId>
|
||||
<artifactId>jimubi-spring-boot-starter</artifactId>
|
||||
<version>${jimubi.version}</version>
|
||||
<exclusions>
|
||||
<exclusion>
|
||||
<groupId>com.github.jsqlparser</groupId>
|
||||
<artifactId>jsqlparser</artifactId>
|
||||
</exclusion>
|
||||
<exclusion>
|
||||
<groupId>cn.hutool</groupId>
|
||||
<artifactId>hutool-core</artifactId>
|
||||
</exclusion>
|
||||
</exclusions>
|
||||
<groupId>ch.qos.logback</groupId>
|
||||
<artifactId>logback-classic</artifactId>
|
||||
<version>${logback.version}</version>
|
||||
</dependency>
|
||||
</dependencies>
|
||||
</dependencyManagement>
|
||||
|
|
|
|||
|
|
@ -27,10 +27,10 @@ public class PageParam implements Serializable {
|
|||
@Min(value = 1, message = "页码最小值为 1")
|
||||
private Integer pageNo = PAGE_NO;
|
||||
|
||||
@Schema(description = "每页条数，最大值为 200", requiredMode = Schema.RequiredMode.REQUIRED, example = "10")
|
||||
@Schema(description = "每页条数，最大值为 100", requiredMode = Schema.RequiredMode.REQUIRED, example = "10")
|
||||
@NotNull(message = "每页条数不能为空")
|
||||
@Min(value = 1, message = "每页条数最小值为 1")
|
||||
@Max(value = 200, message = "每页条数最大值为 200")
|
||||
@Max(value = 100, message = "每页条数最大值为 100")
|
||||
private Integer pageSize = PAGE_SIZE;
|
||||
|
||||
}
|
||||
|
|
|
|||
|
|
@ -349,27 +349,4 @@ public class CollectionUtils {
|
|||
return (LinkedHashSet<T>) toCollection(LinkedHashSet.class, elementType, value);
|
||||
}
|
||||
|
||||
public static boolean dfs(Long node, Map<Long, Set<Long>> graph) {
|
||||
return dfs(node, graph, new HashSet<>(), new HashSet<>());
|
||||
}
|
||||
|
||||
private static boolean dfs(Long node, Map<Long, Set<Long>> graph, Set<Long> visited, Set<Long> inStack) {
|
||||
if (inStack.contains(node)) {
|
||||
return true;
|
||||
}
|
||||
if (visited.contains(node)) {
|
||||
return false;
|
||||
}
|
||||
visited.add(node);
|
||||
inStack.add(node);
|
||||
Set<Long> neighbors = graph.getOrDefault(node, Collections.emptySet());
|
||||
for (Long neighbor : neighbors) {
|
||||
if (dfs(neighbor, graph, visited, inStack)) {
|
||||
return true;
|
||||
}
|
||||
}
|
||||
inStack.remove(node);
|
||||
return false;
|
||||
}
|
||||
|
||||
}
|
||||
|
|
@ -7,7 +7,6 @@ import cn.iocoder.yudao.framework.common.core.KeyValue;
|
|||
import com.google.common.collect.Maps;
|
||||
import com.google.common.collect.Multimap;
|
||||
|
||||
import java.math.BigDecimal;
|
||||
import java.util.ArrayList;
|
||||
import java.util.Collection;
|
||||
import java.util.List;
|
||||
|
|
@ -66,47 +65,4 @@ public class MapUtils {
|
|||
return map;
|
||||
}
|
||||
|
||||
/**
|
||||
* 从 Map 中获取 BigDecimal 值
|
||||
*
|
||||
* @param map Map 数据源
|
||||
* @param key 键名
|
||||
* @return BigDecimal 值，解析失败或值为 null 时返回 null
|
||||
*/
|
||||
public static BigDecimal getBigDecimal(Map<String, ?> map, String key) {
|
||||
return getBigDecimal(map, key, null);
|
||||
}
|
||||
|
||||
/**
|
||||
* 从 Map 中获取 BigDecimal 值
|
||||
*
|
||||
* @param map Map 数据源
|
||||
* @param key 键名
|
||||
* @param defaultValue 默认值
|
||||
* @return BigDecimal 值，解析失败或值为 null 时返回默认值
|
||||
*/
|
||||
public static BigDecimal getBigDecimal(Map<String, ?> map, String key, BigDecimal defaultValue) {
|
||||
if (map == null) {
|
||||
return defaultValue;
|
||||
}
|
||||
Object value = map.get(key);
|
||||
if (value == null) {
|
||||
return defaultValue;
|
||||
}
|
||||
if (value instanceof BigDecimal) {
|
||||
return (BigDecimal) value;
|
||||
}
|
||||
if (value instanceof Number) {
|
||||
return BigDecimal.valueOf(((Number) value).doubleValue());
|
||||
}
|
||||
if (value instanceof String) {
|
||||
try {
|
||||
return new BigDecimal((String) value);
|
||||
} catch (NumberFormatException e) {
|
||||
return defaultValue;
|
||||
}
|
||||
}
|
||||
return defaultValue;
|
||||
}
|
||||
|
||||
}
|
||||
|
|
|
|||
|
|
@ -335,27 +335,6 @@ public class LocalDateTimeUtils {
|
|||
}
|
||||
}
|
||||
|
||||
/**
|
||||
* 获取指定日期所在季度的第一天
|
||||
*
|
||||
* @param date 日期
|
||||
* @return 所在季度的第一天
|
||||
*/
|
||||
public static LocalDate getQuarterStart(LocalDate date) {
|
||||
Month firstMonthOfQuarter = date.getMonth().firstMonthOfQuarter();
|
||||
return LocalDate.of(date.getYear(), firstMonthOfQuarter, 1);
|
||||
}
|
||||
|
||||
/**
|
||||
* 获取指定日期所在周的第一天（周一）
|
||||
*
|
||||
* @param date 日期
|
||||
* @return 所在周的周一
|
||||
*/
|
||||
public static LocalDate getWeekStart(LocalDate date) {
|
||||
return date.with(DayOfWeek.MONDAY);
|
||||
}
|
||||
|
||||
/**
|
||||
* 将给定的 {@link LocalDateTime} 转换为自 Unix 纪元时间（1970-01-01T00:00:00Z）以来的秒数。
|
||||
*
|
||||
|
|
|
|||
|
|
@ -1,7 +1,9 @@
|
|||
package cn.iocoder.yudao.framework.common.util.http;
|
||||
|
||||
import cn.hutool.core.codec.Base64;
|
||||
import cn.hutool.core.map.TableMap;
|
||||
import cn.hutool.core.net.url.UrlBuilder;
|
||||
import cn.hutool.core.util.ReflectUtil;
|
||||
import cn.hutool.core.util.StrUtil;
|
||||
import cn.hutool.http.HttpRequest;
|
||||
import cn.hutool.http.HttpResponse;
|
||||
|
|
@ -12,7 +14,6 @@ import org.springframework.web.util.UriComponentsBuilder;
|
|||
|
||||
import javax.servlet.http.HttpServletRequest;
|
||||
import java.net.URI;
|
||||
import java.net.URLDecoder;
|
||||
import java.net.URLEncoder;
|
||||
import java.nio.charset.Charset;
|
||||
import java.nio.charset.StandardCharsets;
|
||||
|
|
@ -36,38 +37,14 @@ public class HttpUtils {
|
|||
return URLEncoder.encode(value, StandardCharsets.UTF_8.name());
|
||||
}
|
||||
|
||||
/**
|
||||
* 解码 URL 参数（query parameter）
|
||||
* 注意：此方法会将 + 解码为空格，适用于 query parameter，不适用于 URL path
|
||||
*
|
||||
* @see #decodeUrlPath(String)
|
||||
* @param value 参数
|
||||
* @return 解码后的参数
|
||||
*/
|
||||
@SneakyThrows
|
||||
public static String decodeUtf8(String value) {
|
||||
return URLDecoder.decode(value, StandardCharsets.UTF_8.name());
|
||||
}
|
||||
|
||||
/**
|
||||
* 解码 URL 路径
|
||||
* 与 {@link #decodeUtf8(String)} 不同，此方法不会将 + 解码为空格，保持 + 为字面字符
|
||||
* 适用于 URL path 部分的解码
|
||||
*
|
||||
* @param path URL 路径
|
||||
* @return 解码后的路径
|
||||
*/
|
||||
@SneakyThrows
|
||||
public static String decodeUrlPath(String path) {
|
||||
// 先将 + 替换为 %2B，避免被 URLDecoder 解码为空格
|
||||
String encoded = path.replace("+", "%2B");
|
||||
return URLDecoder.decode(encoded, StandardCharsets.UTF_8.name());
|
||||
}
|
||||
|
||||
@SuppressWarnings("unchecked")
|
||||
public static String replaceUrlQuery(String url, String key, String value) {
|
||||
UrlBuilder builder = UrlBuilder.of(url, Charset.defaultCharset());
|
||||
// 先移除；再添加
|
||||
builder.getQuery().remove(key);
|
||||
// 先移除
|
||||
TableMap<CharSequence, CharSequence> query = (TableMap<CharSequence, CharSequence>)
|
||||
ReflectUtil.getFieldValue(builder.getQuery(), "query");
|
||||
query.remove(key);
|
||||
// 后添加
|
||||
builder.addQuery(key, value);
|
||||
return builder.build();
|
||||
}
|
||||
|
|
|
|||
|
|
@ -173,24 +173,6 @@ public class JsonUtils {
|
|||
}
|
||||
}
|
||||
|
||||
/**
|
||||
* 解析 JSON 字符串成指定类型的对象，如果解析失败，则返回 null
|
||||
*
|
||||
* @param text 字符串
|
||||
* @param clazz 类型
|
||||
* @return 指定类型的对象
|
||||
*/
|
||||
public static <T> T parseObjectQuietly(String text, Class<T> clazz) {
|
||||
if (StrUtil.isEmpty(text)) {
|
||||
return null;
|
||||
}
|
||||
try {
|
||||
return objectMapper.readValue(text, clazz);
|
||||
} catch (IOException e) {
|
||||
return null;
|
||||
}
|
||||
}
|
||||
|
||||
public static <T> List<T> parseArray(String text, Class<T> clazz) {
|
||||
if (StrUtil.isEmpty(text)) {
|
||||
return new ArrayList<>();
|
||||
|
|
@ -247,53 +229,4 @@ public class JsonUtils {
|
|||
return JSONUtil.isTypeJSONObject(str);
|
||||
}
|
||||
|
||||
/**
|
||||
* 将 Object 转换为目标类型
|
||||
* <p>
|
||||
* 避免先转 jsonString 再 parseObject 的性能损耗
|
||||
*
|
||||
* @param obj 源对象（可以是 Map、POJO 等）
|
||||
* @param clazz 目标类型
|
||||
* @return 转换后的对象
|
||||
*/
|
||||
public static <T> T convertObject(Object obj, Class<T> clazz) {
|
||||
if (obj == null) {
|
||||
return null;
|
||||
}
|
||||
if (clazz.isInstance(obj)) {
|
||||
return clazz.cast(obj);
|
||||
}
|
||||
return objectMapper.convertValue(obj, clazz);
|
||||
}
|
||||
|
||||
/**
|
||||
* 将 Object 转换为目标类型（支持泛型）
|
||||
*
|
||||
* @param obj 源对象
|
||||
* @param typeReference 目标类型引用
|
||||
* @return 转换后的对象
|
||||
*/
|
||||
public static <T> T convertObject(Object obj, TypeReference<T> typeReference) {
|
||||
if (obj == null) {
|
||||
return null;
|
||||
}
|
||||
return objectMapper.convertValue(obj, typeReference);
|
||||
}
|
||||
|
||||
/**
|
||||
* 将 Object 转换为 List 类型
|
||||
* <p>
|
||||
* 避免先转 jsonString 再 parseArray 的性能损耗
|
||||
*
|
||||
* @param obj 源对象（可以是 List、数组等）
|
||||
* @param clazz 目标元素类型
|
||||
* @return 转换后的 List
|
||||
*/
|
||||
public static <T> List<T> convertList(Object obj, Class<T> clazz) {
|
||||
if (obj == null) {
|
||||
return new ArrayList<>();
|
||||
}
|
||||
return objectMapper.convertValue(obj, objectMapper.getTypeFactory().constructCollectionType(List.class, clazz));
|
||||
}
|
||||
|
||||
}
|
||||
|
|
|
|||
|
|
@ -1,85 +1,42 @@
|
|||
package cn.iocoder.yudao.framework.common.util.json.databind;
|
||||
|
||||
import cn.hutool.core.util.ObjUtil;
|
||||
import cn.hutool.core.util.ReflectUtil;
|
||||
import cn.hutool.core.util.StrUtil;
|
||||
import com.fasterxml.jackson.annotation.JsonFormat;
|
||||
import com.fasterxml.jackson.annotation.JsonProperty;
|
||||
import com.fasterxml.jackson.core.JsonGenerator;
|
||||
import com.fasterxml.jackson.databind.JsonSerializer;
|
||||
import com.fasterxml.jackson.databind.SerializerProvider;
|
||||
import lombok.extern.slf4j.Slf4j;
|
||||
|
||||
import java.io.IOException;
|
||||
import java.lang.reflect.Field;
|
||||
import java.time.LocalDateTime;
|
||||
import java.time.ZoneId;
|
||||
import java.time.format.DateTimeFormatter;
|
||||
import java.util.HashMap;
|
||||
import java.util.Map;
|
||||
import java.util.concurrent.ConcurrentHashMap;
|
||||
|
||||
/**
|
||||
* 基于时间戳的 LocalDateTime 序列化器
|
||||
*
|
||||
* @author 老五
|
||||
*/
|
||||
@Slf4j
|
||||
public class TimestampLocalDateTimeSerializer extends JsonSerializer<LocalDateTime> {
|
||||
|
||||
public static final TimestampLocalDateTimeSerializer INSTANCE = new TimestampLocalDateTimeSerializer();
|
||||
|
||||
private static final Map<Class<?>, Map<String, Field>> FIELD_CACHE = new ConcurrentHashMap<>();
|
||||
|
||||
@Override
|
||||
public void serialize(LocalDateTime value, JsonGenerator gen, SerializerProvider serializers) throws IOException {
|
||||
// 情况一：有 JsonFormat 自定义注解，则使用它。https://github.com/YunaiV/ruoyi-vue-pro/pull/1019
|
||||
String fieldName = gen.getOutputContext().getCurrentName();
|
||||
if (fieldName != null) {
|
||||
Object currentValue = gen.getOutputContext().getCurrentValue();
|
||||
if (currentValue != null) {
|
||||
Class<?> clazz = currentValue.getClass();
|
||||
Map<String, Field> fieldMap = FIELD_CACHE.computeIfAbsent(clazz, this::buildFieldMap);
|
||||
Field field = fieldMap.get(fieldName);
|
||||
// 进一步修复：https://gitee.com/zhijiantianya/ruoyi-vue-pro/pulls/1480
|
||||
if (field != null && field.isAnnotationPresent(JsonFormat.class)) {
|
||||
JsonFormat jsonFormat = field.getAnnotation(JsonFormat.class);
|
||||
try {
|
||||
DateTimeFormatter formatter = DateTimeFormatter.ofPattern(jsonFormat.pattern());
|
||||
gen.writeString(formatter.format(value));
|
||||
return;
|
||||
} catch (Exception ex) {
|
||||
log.warn("[serialize][({}#{}) 使用 JsonFormat pattern 失败，尝试使用默认的 Long 时间戳]",
|
||||
clazz.getName(), fieldName, ex);
|
||||
}
|
||||
}
|
||||
}
|
||||
Class<?> clazz = gen.getOutputContext().getCurrentValue().getClass();
|
||||
Field field = ReflectUtil.getField(clazz, fieldName);
|
||||
// 情况一：有 JsonFormat 自定义注解，则使用它。https://github.com/YunaiV/ruoyi-vue-pro/pull/1019
|
||||
JsonFormat[] jsonFormats = field.getAnnotationsByType(JsonFormat.class);
|
||||
if (jsonFormats.length > 0) {
|
||||
String pattern = jsonFormats[0].pattern();
|
||||
DateTimeFormatter formatter = DateTimeFormatter.ofPattern(pattern);
|
||||
gen.writeString(formatter.format(value));
|
||||
return;
|
||||
}
|
||||
|
||||
// 情况二：默认将 LocalDateTime 对象，转换为 Long 时间戳
|
||||
gen.writeNumber(value.atZone(ZoneId.systemDefault()).toInstant().toEpochMilli());
|
||||
}
|
||||
|
||||
/**
|
||||
* 构建字段映射（缓存）
|
||||
*
|
||||
* @param clazz 类
|
||||
* @return 字段映射
|
||||
*/
|
||||
private Map<String, Field> buildFieldMap(Class<?> clazz) {
|
||||
Map<String, Field> fieldMap = new HashMap<>();
|
||||
for (Field field : ReflectUtil.getFields(clazz)) {
|
||||
String fieldName = field.getName();
|
||||
JsonProperty jsonProperty = field.getAnnotation(JsonProperty.class);
|
||||
if (jsonProperty != null) {
|
||||
String value = jsonProperty.value();
|
||||
if (StrUtil.isNotEmpty(value) && ObjUtil.notEqual("\u0000", value)) {
|
||||
fieldName = value;
|
||||
}
|
||||
}
|
||||
fieldMap.put(fieldName, field);
|
||||
}
|
||||
return fieldMap;
|
||||
}
|
||||
|
||||
}
|
||||
|
|
|
|||
|
|
@ -60,11 +60,6 @@ public class ObjectUtils {
|
|||
return Arrays.asList(array).contains(obj);
|
||||
}
|
||||
|
||||
@SafeVarargs
|
||||
public static <T> boolean notEqualsAny(T obj, T... array) {
|
||||
return !Arrays.asList(array).contains(obj);
|
||||
}
|
||||
|
||||
public static boolean isNotAllEmpty(Object... objs) {
|
||||
return !ObjectUtil.isAllEmpty(objs);
|
||||
}
|
||||
|
|
|
|||
|
|
@ -1,52 +0,0 @@
|
|||
package cn.iocoder.yudao.framework.common.util.http;
|
||||
|
||||
import org.junit.jupiter.api.Test;
|
||||
|
||||
import static org.junit.jupiter.api.Assertions.assertEquals;
|
||||
|
||||
/**
|
||||
* {@link HttpUtils} 的单元测试
|
||||
*/
|
||||
public class HttpUtilsTest {
|
||||
|
||||
@Test
|
||||
public void testReplaceUrlQuery_replace() {
|
||||
// 准备参数
|
||||
String url = "https://www.iocoder.cn/path?a=1&b=2";
|
||||
// 调用
|
||||
String result = HttpUtils.replaceUrlQuery(url, "a", "3");
|
||||
// 断言：被替换的 key 会移到末尾，原顺序的其它参数保留
|
||||
assertEquals("https://www.iocoder.cn/path?b=2&a=3", result);
|
||||
}
|
||||
|
||||
@Test
|
||||
public void testReplaceUrlQuery_add() {
|
||||
// 准备参数
|
||||
String url = "https://www.iocoder.cn/path?a=1";
|
||||
// 调用
|
||||
String result = HttpUtils.replaceUrlQuery(url, "b", "2");
|
||||
// 断言
|
||||
assertEquals("https://www.iocoder.cn/path?a=1&b=2", result);
|
||||
}
|
||||
|
||||
@Test
|
||||
public void testReplaceUrlQuery_noQuery() {
|
||||
// 准备参数：原 URL 没有 query
|
||||
String url = "https://www.iocoder.cn/path";
|
||||
// 调用
|
||||
String result = HttpUtils.replaceUrlQuery(url, "a", "1");
|
||||
// 断言
|
||||
assertEquals("https://www.iocoder.cn/path?a=1", result);
|
||||
}
|
||||
|
||||
@Test
|
||||
public void testReplaceUrlQuery_emptyValue() {
|
||||
// 准备参数：value 为空字符串
|
||||
String url = "https://www.iocoder.cn/path?a=1";
|
||||
// 调用
|
||||
String result = HttpUtils.replaceUrlQuery(url, "a", "");
|
||||
// 断言：保留 key，value 为空
|
||||
assertEquals("https://www.iocoder.cn/path?a=", result);
|
||||
}
|
||||
|
||||
}
|
||||
|
|
@ -57,6 +57,8 @@ public class DeptDataPermissionRule implements DataPermissionRule {
|
|||
private static final String DEPT_COLUMN_NAME = "dept_id";
|
||||
private static final String USER_COLUMN_NAME = "user_id";
|
||||
|
||||
static final Expression EXPRESSION_NULL = new NullValue();
|
||||
|
||||
private final PermissionCommonApi permissionApi;
|
||||
|
||||
/**
|
||||
|
|
@ -118,7 +120,7 @@ public class DeptDataPermissionRule implements DataPermissionRule {
|
|||
|
||||
// 情况二，即不能查看部门，又不能查看自己，则说明 100% 无权限
|
||||
if (CollUtil.isEmpty(deptDataPermission.getDeptIds())
|
||||
&& Boolean.FALSE.equals(deptDataPermission.getSelf())) {
|
||||
&& Boolean.FALSE.equals(deptDataPermission.getSelf())) {
|
||||
return new EqualsTo(null, null); // WHERE null = null，可以保证返回的数据为空
|
||||
}
|
||||
|
||||
|
|
@ -131,7 +133,7 @@ public class DeptDataPermissionRule implements DataPermissionRule {
|
|||
JsonUtils.toJsonString(loginUser), tableName, tableAlias, JsonUtils.toJsonString(deptDataPermission));
|
||||
// throw new NullPointerException(String.format("LoginUser(%d) Table(%s/%s) 构建的条件为空",
|
||||
// loginUser.getId(), tableName, tableAlias.getName()));
|
||||
return new EqualsTo(null, null); // WHERE null = null，可以保证返回的数据为空
|
||||
return EXPRESSION_NULL;
|
||||
}
|
||||
if (deptExpression == null) {
|
||||
return userExpression;
|
||||
|
|
|
|||
|
|
@ -3,12 +3,12 @@ package cn.iocoder.yudao.framework.datapermission.core.rule.dept;
|
|||
import cn.hutool.core.collection.CollUtil;
|
||||
import cn.hutool.core.util.ReflectUtil;
|
||||
import cn.iocoder.yudao.framework.common.biz.system.permission.PermissionCommonApi;
|
||||
import cn.iocoder.yudao.framework.common.biz.system.permission.dto.DeptDataPermissionRespDTO;
|
||||
import cn.iocoder.yudao.framework.common.enums.UserTypeEnum;
|
||||
import cn.iocoder.yudao.framework.common.util.collection.SetUtils;
|
||||
import cn.iocoder.yudao.framework.security.core.LoginUser;
|
||||
import cn.iocoder.yudao.framework.security.core.util.SecurityFrameworkUtils;
|
||||
import cn.iocoder.yudao.framework.test.core.ut.BaseMockitoUnitTest;
|
||||
import cn.iocoder.yudao.framework.common.biz.system.permission.dto.DeptDataPermissionRespDTO;
|
||||
import net.sf.jsqlparser.expression.Alias;
|
||||
import net.sf.jsqlparser.expression.Expression;
|
||||
import org.junit.jupiter.api.BeforeEach;
|
||||
|
|
@ -20,6 +20,7 @@ import org.mockito.MockedStatic;
|
|||
import java.util.Map;
|
||||
|
||||
import static cn.iocoder.yudao.framework.common.pojo.CommonResult.success;
|
||||
import static cn.iocoder.yudao.framework.datapermission.core.rule.dept.DeptDataPermissionRule.EXPRESSION_NULL;
|
||||
import static cn.iocoder.yudao.framework.test.core.util.RandomUtils.randomPojo;
|
||||
import static cn.iocoder.yudao.framework.test.core.util.RandomUtils.randomString;
|
||||
import static org.junit.jupiter.api.Assertions.*;
|
||||
|
|
@ -150,7 +151,7 @@ class DeptDataPermissionRuleTest extends BaseMockitoUnitTest {
|
|||
// 调用
|
||||
Expression expression = rule.getExpression(tableName, tableAlias);
|
||||
// 断言
|
||||
assertEquals("null = null", expression.toString());
|
||||
assertSame(EXPRESSION_NULL, expression);
|
||||
assertSame(deptDataPermission, loginUser.getContext(DeptDataPermissionRule.CONTEXT_KEY, DeptDataPermissionRespDTO.class));
|
||||
}
|
||||
}
|
||||
|
|
|
|||
|
|
@ -8,7 +8,6 @@ import cn.iocoder.yudao.framework.common.util.object.ObjectUtils;
|
|||
import cn.iocoder.yudao.framework.ip.core.Area;
|
||||
import cn.iocoder.yudao.framework.ip.core.enums.AreaTypeEnum;
|
||||
import lombok.NonNull;
|
||||
import lombok.experimental.UtilityClass;
|
||||
import lombok.extern.slf4j.Slf4j;
|
||||
|
||||
import java.util.ArrayList;
|
||||
|
|
@ -26,46 +25,44 @@ import static cn.iocoder.yudao.framework.common.util.collection.CollectionUtils.
|
|||
* @author 芋道源码
|
||||
*/
|
||||
@Slf4j
|
||||
@UtilityClass
|
||||
public class AreaUtils {
|
||||
|
||||
/**
|
||||
* 初始化 SEARCHER
|
||||
*/
|
||||
@SuppressWarnings("InstantiationOfUtilityClass")
|
||||
private final static AreaUtils INSTANCE = new AreaUtils();
|
||||
|
||||
/**
|
||||
* Area 内存缓存，提升访问速度
|
||||
*/
|
||||
private static Map<Integer, Area> areas;
|
||||
|
||||
static {
|
||||
init();
|
||||
}
|
||||
|
||||
/**
|
||||
* 初始化
|
||||
*/
|
||||
private static void init() {
|
||||
try {
|
||||
long now = System.currentTimeMillis();
|
||||
areas = new HashMap<>();
|
||||
areas.put(Area.ID_GLOBAL, new Area(Area.ID_GLOBAL, "全球", 0, null, new ArrayList<>()));
|
||||
// 从 csv 中加载数据
|
||||
List<CsvRow> rows = CsvUtil.getReader().read(ResourceUtil.getUtf8Reader("area.csv")).getRows();
|
||||
rows.remove(0); // 删除 header
|
||||
for (CsvRow row : rows) {
|
||||
Area area = new Area(Integer.valueOf(row.get(0)), row.get(1), Integer.valueOf(row.get(2)), null, new ArrayList<>());
|
||||
areas.put(area.getId(), area);
|
||||
}
|
||||
|
||||
// 构建父子关系：因为 Area 中没有 parentId 字段,所以需要重复读取
|
||||
for (CsvRow row : rows) {
|
||||
Area area = areas.get(Integer.valueOf(row.get(0))); // 自己
|
||||
Area parent = areas.get(Integer.valueOf(row.get(3))); // 父
|
||||
Assert.isTrue(area != parent, "{}:父子节点相同", area.getName());
|
||||
area.setParent(parent);
|
||||
parent.getChildren().add(area);
|
||||
}
|
||||
log.info("启动加载 AreaUtils 成功，耗时 ({}) 毫秒", System.currentTimeMillis() - now);
|
||||
} catch (Exception e) {
|
||||
throw new RuntimeException("AreaUtils 初始化失败", e);
|
||||
private AreaUtils() {
|
||||
long now = System.currentTimeMillis();
|
||||
areas = new HashMap<>();
|
||||
areas.put(Area.ID_GLOBAL, new Area(Area.ID_GLOBAL, "全球", 0,
|
||||
null, new ArrayList<>()));
|
||||
// 从 csv 中加载数据
|
||||
List<CsvRow> rows = CsvUtil.getReader().read(ResourceUtil.getUtf8Reader("area.csv")).getRows();
|
||||
rows.remove(0); // 删除 header
|
||||
for (CsvRow row : rows) {
|
||||
// 创建 Area 对象
|
||||
Area area = new Area(Integer.valueOf(row.get(0)), row.get(1), Integer.valueOf(row.get(2)),
|
||||
null, new ArrayList<>());
|
||||
// 添加到 areas 中
|
||||
areas.put(area.getId(), area);
|
||||
}
|
||||
|
||||
// 构建父子关系：因为 Area 中没有 parentId 字段，所以需要重复读取
|
||||
for (CsvRow row : rows) {
|
||||
Area area = areas.get(Integer.valueOf(row.get(0))); // 自己
|
||||
Area parent = areas.get(Integer.valueOf(row.get(3))); // 父
|
||||
Assert.isTrue(area != parent, "{}:父子节点相同", area.getName());
|
||||
area.setParent(parent);
|
||||
parent.getChildren().add(area);
|
||||
}
|
||||
log.info("启动加载 AreaUtils 成功，耗时 ({}) 毫秒", System.currentTimeMillis() - now);
|
||||
}
|
||||
|
||||
/**
|
||||
|
|
|
|||
|
|
@ -3,10 +3,11 @@ package cn.iocoder.yudao.framework.ip.core.utils;
|
|||
import cn.hutool.core.io.resource.ResourceUtil;
|
||||
import cn.iocoder.yudao.framework.ip.core.Area;
|
||||
import lombok.SneakyThrows;
|
||||
import lombok.experimental.UtilityClass;
|
||||
import lombok.extern.slf4j.Slf4j;
|
||||
import org.lionsoul.ip2region.xdb.Searcher;
|
||||
|
||||
import java.io.IOException;
|
||||
|
||||
/**
|
||||
* IP 工具类
|
||||
*
|
||||
|
|
@ -15,29 +16,30 @@ import org.lionsoul.ip2region.xdb.Searcher;
|
|||
* @author wanglhup
|
||||
*/
|
||||
@Slf4j
|
||||
@UtilityClass
|
||||
public class IPUtils {
|
||||
|
||||
/**
|
||||
* 初始化 SEARCHER
|
||||
*/
|
||||
@SuppressWarnings("InstantiationOfUtilityClass")
|
||||
private final static IPUtils INSTANCE = new IPUtils();
|
||||
|
||||
/**
|
||||
* IP 查询器，启动加载到内存中
|
||||
*/
|
||||
private static Searcher SEARCHER;
|
||||
|
||||
static {
|
||||
init();
|
||||
}
|
||||
|
||||
/**
|
||||
* 初始化
|
||||
* 私有化构造
|
||||
*/
|
||||
private static void init() {
|
||||
private IPUtils() {
|
||||
try {
|
||||
long now = System.currentTimeMillis();
|
||||
byte[] bytes = ResourceUtil.readBytes("ip2region.xdb");
|
||||
SEARCHER = Searcher.newWithBuffer(bytes);
|
||||
log.info("启动加载 IPUtils 成功，耗时 ({}) 毫秒", System.currentTimeMillis() - now);
|
||||
} catch (Exception e) {
|
||||
throw new RuntimeException("IPUtils 初始化失败", e);
|
||||
} catch (IOException e) {
|
||||
log.error("启动加载 IPUtils 失败", e);
|
||||
}
|
||||
}
|
||||
|
||||
|
|
|
|||
File diff suppressed because it is too large
Load Diff
|
|
@ -5,12 +5,7 @@ import cn.iocoder.yudao.framework.ip.core.Area;
|
|||
import cn.iocoder.yudao.framework.ip.core.enums.AreaTypeEnum;
|
||||
import org.junit.jupiter.api.Test;
|
||||
|
||||
import java.util.List;
|
||||
|
||||
import static org.junit.jupiter.api.Assertions.assertEquals;
|
||||
import static org.junit.jupiter.api.Assertions.assertNotNull;
|
||||
import static org.junit.jupiter.api.Assertions.assertNull;
|
||||
import static org.junit.jupiter.api.Assertions.assertTrue;
|
||||
|
||||
/**
|
||||
* {@link AreaUtils} 的单元测试
|
||||
|
|
@ -36,46 +31,6 @@ public class AreaUtilsTest {
|
|||
assertEquals(AreaUtils.format(110105), "北京市 北京市 朝阳区");
|
||||
assertEquals(AreaUtils.format(1), "中国");
|
||||
assertEquals(AreaUtils.format(2), "蒙古");
|
||||
// 中国台湾省：省/市/区三级
|
||||
assertEquals(AreaUtils.format(710101), "台湾省 台北市 中正区");
|
||||
// 自定义分隔符
|
||||
assertEquals(AreaUtils.format(110105, "/"), "北京市/北京市/朝阳区");
|
||||
// 不存在的编号
|
||||
assertNull(AreaUtils.format(-1));
|
||||
}
|
||||
|
||||
@Test
|
||||
public void testParseArea() {
|
||||
// 调用：通过路径解析得到地区
|
||||
Area area = AreaUtils.parseArea("北京市/北京市/朝阳区");
|
||||
// 断言
|
||||
assertNotNull(area);
|
||||
assertEquals(area.getId(), 110105);
|
||||
// 路径不存在时返回 null
|
||||
assertNull(AreaUtils.parseArea("不存在/路径"));
|
||||
}
|
||||
|
||||
@Test
|
||||
public void testGetParentIdByType() {
|
||||
// 调用：朝阳区向上找省
|
||||
Integer provinceId = AreaUtils.getParentIdByType(110105, AreaTypeEnum.PROVINCE);
|
||||
// 断言
|
||||
assertEquals(provinceId, 110000);
|
||||
// 自身就是目标类型
|
||||
assertEquals(AreaUtils.getParentIdByType(110000, AreaTypeEnum.PROVINCE), 110000);
|
||||
// 不存在的编号返回 null
|
||||
assertNull(AreaUtils.getParentIdByType(-1, AreaTypeEnum.PROVINCE));
|
||||
}
|
||||
|
||||
@Test
|
||||
public void testGetByType() {
|
||||
// 调用：获取所有省份
|
||||
List<Area> provinces = AreaUtils.getByType(AreaTypeEnum.PROVINCE, area -> area);
|
||||
// 断言：包含北京、台湾、香港、澳门
|
||||
assertTrue(provinces.stream().anyMatch(area -> "北京市".equals(area.getName())));
|
||||
assertTrue(provinces.stream().anyMatch(area -> "台湾省".equals(area.getName())));
|
||||
assertTrue(provinces.stream().anyMatch(area -> "香港特别行政区".equals(area.getName())));
|
||||
assertTrue(provinces.stream().anyMatch(area -> "澳门特别行政区".equals(area.getName())));
|
||||
}
|
||||
|
||||
}
|
||||
|
|
|
|||
|
|
@ -1,7 +1,6 @@
|
|||
package cn.iocoder.yudao.framework.tenant.core.redis;
|
||||
|
||||
import cn.hutool.core.collection.CollUtil;
|
||||
import cn.hutool.core.util.StrUtil;
|
||||
import cn.iocoder.yudao.framework.redis.core.TimeoutRedisCacheManager;
|
||||
import cn.iocoder.yudao.framework.tenant.core.context.TenantContextHolder;
|
||||
import lombok.extern.slf4j.Slf4j;
|
||||
|
|
@ -22,8 +21,6 @@ import java.util.Set;
|
|||
@Slf4j
|
||||
public class TenantRedisCacheManager extends TimeoutRedisCacheManager {
|
||||
|
||||
private static final String SPLIT = "#";
|
||||
|
||||
private final Set<String> ignoreCaches;
|
||||
|
||||
public TenantRedisCacheManager(RedisCacheWriter cacheWriter,
|
||||
|
|
@ -35,11 +32,10 @@ public class TenantRedisCacheManager extends TimeoutRedisCacheManager {
|
|||
|
||||
@Override
|
||||
public Cache getCache(String name) {
|
||||
String[] names = StrUtil.splitToArray(name, SPLIT);
|
||||
// 如果开启多租户，则 name 拼接租户后缀
|
||||
if (!TenantContextHolder.isIgnore()
|
||||
&& TenantContextHolder.getTenantId() != null
|
||||
&& !CollUtil.contains(ignoreCaches, names[0])) {
|
||||
&& !CollUtil.contains(ignoreCaches, name)) {
|
||||
name = name + ":" + TenantContextHolder.getTenantId();
|
||||
}
|
||||
|
||||
|
|
@ -47,4 +43,4 @@ public class TenantRedisCacheManager extends TimeoutRedisCacheManager {
|
|||
return super.getCache(name);
|
||||
}
|
||||
|
||||
}
|
||||
}
|
||||
|
|
|
|||
|
|
@ -15,7 +15,6 @@ import java.util.function.Consumer;
|
|||
* <p>
|
||||
* 1. 拼接条件的方法，增加 xxxIfPresent 方法，用于判断值不存在的时候，不要拼接到条件中。
|
||||
* 2. SFunction<S, ?> column + <S> 泛型：支持任意类字段（主表、子表、三表），推荐写法, 让编译器自动推断 S 类型
|
||||
*
|
||||
* @param <T> 数据类型
|
||||
*/
|
||||
public class MPJLambdaWrapperX<T> extends MPJLambdaWrapper<T> {
|
||||
|
|
@ -123,12 +122,6 @@ public class MPJLambdaWrapperX<T> extends MPJLambdaWrapper<T> {
|
|||
return this;
|
||||
}
|
||||
|
||||
@Override
|
||||
public <X> MPJLambdaWrapperX<T> orderByAsc(SFunction<X, ?> column) {
|
||||
super.orderByAsc(true, column);
|
||||
return this;
|
||||
}
|
||||
|
||||
@Override
|
||||
public MPJLambdaWrapperX<T> last(String lastSql) {
|
||||
super.last(lastSql);
|
||||
|
|
|
|||
|
|
@ -36,17 +36,6 @@
|
|||
<groupId>io.github.openfeign</groupId>
|
||||
<artifactId>feign-okhttp</artifactId>
|
||||
</dependency>
|
||||
<!--
|
||||
TODO 芋艿：WxJava 4.8.x 的 AbstractWxMpConfigStorageConfiguration 仍引用了 HttpClient 4.x 的
|
||||
org.apache.http.ssl.TrustStrategy 类。升级 Spring Cloud Alibaba 到 2025.0.0.0 后，Nacos 不再
|
||||
传递 HttpClient 4.x（httpcore），导致 ClassNotFoundException。
|
||||
临时解决：显式引入 httpclient 4.x。待 WxJava 修复后移除。
|
||||
-->
|
||||
<dependency>
|
||||
<groupId>org.apache.httpcomponents</groupId>
|
||||
<artifactId>httpclient</artifactId>
|
||||
<version>4.5.14</version>
|
||||
</dependency>
|
||||
|
||||
<!-- 工具相关 -->
|
||||
<dependency>
|
||||
|
|
|
|||
|
|
@ -9,7 +9,6 @@ import uk.co.jemos.podam.api.PodamFactory;
|
|||
import uk.co.jemos.podam.api.PodamFactoryImpl;
|
||||
|
||||
import java.lang.reflect.Type;
|
||||
import java.math.BigDecimal;
|
||||
import java.time.LocalDateTime;
|
||||
import java.util.Arrays;
|
||||
import java.util.Date;
|
||||
|
|
@ -53,10 +52,6 @@ public class RandomUtils {
|
|||
}
|
||||
return RandomUtil.randomInt();
|
||||
});
|
||||
// BigDecimal：限制精度在 DECIMAL(10,2) 范围内，避免 H2 等数据库溢出
|
||||
PODAM_FACTORY.getStrategy().addOrReplaceTypeManufacturer(BigDecimal.class,
|
||||
(dataProviderStrategy, attributeMetadata, map) ->
|
||||
BigDecimal.valueOf(RandomUtil.randomInt(0, 10000000), 2));
|
||||
// LocalDateTime
|
||||
PODAM_FACTORY.getStrategy().addOrReplaceTypeManufacturer(LocalDateTime.class,
|
||||
(dataProviderStrategy, attributeMetadata, map) -> randomLocalDateTime());
|
||||
|
|
|
|||
|
|
@ -34,9 +34,7 @@ import javax.servlet.Filter;
|
|||
import java.util.Map;
|
||||
import java.util.function.Predicate;
|
||||
|
||||
@AutoConfiguration(beforeName = {
|
||||
"com.fhs.trans.config.TransServiceConfig" // cloud 独有：避免一键改包后，RestTemplate 初始化的冲突。可见 https://t.zsxq.com/T4yj7 帖子
|
||||
})
|
||||
@AutoConfiguration
|
||||
@EnableConfigurationProperties(WebProperties.class)
|
||||
public class YudaoWebAutoConfiguration {
|
||||
|
||||
|
|
|
|||
|
|
@ -0,0 +1,54 @@
|
|||
package cn.iocoder.yudao.gateway.filter.cors;
|
||||
|
||||
import org.springframework.cloud.gateway.filter.GatewayFilterChain;
|
||||
import org.springframework.cloud.gateway.filter.GlobalFilter;
|
||||
import org.springframework.cloud.gateway.filter.NettyWriteResponseFilter;
|
||||
import org.springframework.core.Ordered;
|
||||
import org.springframework.http.HttpHeaders;
|
||||
import org.springframework.stereotype.Component;
|
||||
import org.springframework.web.server.ServerWebExchange;
|
||||
import reactor.core.publisher.Mono;
|
||||
|
||||
import java.util.Collections;
|
||||
import java.util.List;
|
||||
import java.util.Map;
|
||||
import java.util.stream.Collectors;
|
||||
|
||||
/**
|
||||
* 解决 Spring Cloud Gateway 2.x 跨域时，出现重复 Origin 的 BUG
|
||||
*
|
||||
* 参考文档：<a href="https://blog.csdn.net/zimou5581/article/details/90043178" />
|
||||
*
|
||||
* @author 芋道源码
|
||||
*/
|
||||
@Component
|
||||
public class CorsResponseHeaderFilter implements GlobalFilter, Ordered {
|
||||
|
||||
@Override
|
||||
public int getOrder() {
|
||||
// 指定此过滤器位于 NettyWriteResponseFilter 之后
|
||||
// 即待处理完响应体后接着处理响应头
|
||||
return NettyWriteResponseFilter.WRITE_RESPONSE_FILTER_ORDER + 1;
|
||||
}
|
||||
|
||||
@Override
|
||||
public Mono<Void> filter(ServerWebExchange exchange, GatewayFilterChain chain) {
|
||||
return chain.filter(exchange).then(Mono.defer(() -> {
|
||||
// https://gitee.com/zhijiantianya/yudao-cloud/pulls/177/
|
||||
List<String> keysToModify = exchange.getResponse().getHeaders().entrySet().stream()
|
||||
.filter(kv -> (kv.getValue() != null && kv.getValue().size() > 1))
|
||||
.filter(kv -> (kv.getKey().equals(HttpHeaders.ACCESS_CONTROL_ALLOW_ORIGIN)
|
||||
|| kv.getKey().equals(HttpHeaders.ACCESS_CONTROL_ALLOW_CREDENTIALS)))
|
||||
.map(Map.Entry::getKey)
|
||||
.collect(Collectors.toList());
|
||||
keysToModify.forEach(key->{
|
||||
List<String> values = exchange.getResponse().getHeaders().get(key);
|
||||
if (values != null && !values.isEmpty()) {
|
||||
exchange.getResponse().getHeaders().put(key, Collections.singletonList(values.get(0)));
|
||||
}
|
||||
});
|
||||
return chain.filter(exchange);
|
||||
}));
|
||||
}
|
||||
|
||||
}
|
||||
|
|
@ -11,25 +11,4 @@ spring:
|
|||
group: DEFAULT_GROUP # 使用的 Nacos 配置分组，默认为 DEFAULT_GROUP
|
||||
config: # 【注册中心】配置项
|
||||
namespace: dev # 命名空间。这里使用 dev 开发环境
|
||||
group: DEFAULT_GROUP # 使用的 Nacos 配置分组，默认为 DEFAULT_GROUP
|
||||
|
||||
--- #################### 监控相关配置 ####################
|
||||
|
||||
# Actuator 监控端点的配置项
|
||||
management:
|
||||
endpoints:
|
||||
web:
|
||||
base-path: /actuator # Actuator 提供的 API 接口的根目录。默认为 /actuator
|
||||
exposure:
|
||||
include: '*' # 需要开放的端点。默认值只打开 health 和 info 两个端点。通过设置 * ，可以开放所有端点。
|
||||
|
||||
# Spring Boot Admin 配置项
|
||||
spring:
|
||||
boot:
|
||||
admin:
|
||||
# Spring Boot Admin Client 客户端的相关配置
|
||||
client:
|
||||
instance:
|
||||
service-host-type: IP # 注册实例时，优先使用 IP [IP, HOST_NAME, CANONICAL_HOST_NAME]
|
||||
username: admin
|
||||
password: admin
|
||||
group: DEFAULT_GROUP # 使用的 Nacos 配置分组，默认为 DEFAULT_GROUP
|
||||
|
|
@ -4,38 +4,16 @@ spring:
|
|||
cloud:
|
||||
nacos:
|
||||
server-addr: 127.0.0.1:8848 # Nacos 服务器地址
|
||||
username: nacos
|
||||
password: nacos-admin
|
||||
username: # Nacos 账号
|
||||
password: # Nacos 密码
|
||||
discovery: # 【配置中心】配置项
|
||||
namespace: dev # 命名空间。这里使用 dev 开发环境
|
||||
group: DEFAULT_GROUP # 使用的 Nacos 配置分组，默认为 DEFAULT_GROUP
|
||||
config: # 【注册中心】配置项
|
||||
namespace: dev # 命名空间。这里使用 dev 开发环境
|
||||
group: DEFAULT_GROUP # 使用的 Nacos 配置分组，默认为 DEFAULT_GROUPn
|
||||
|
||||
--- #################### 监控相关配置 ####################
|
||||
|
||||
# Actuator 监控端点的配置项
|
||||
management:
|
||||
endpoints:
|
||||
web:
|
||||
base-path: /actuator # Actuator 提供的 API 接口的根目录。默认为 /actuator
|
||||
exposure:
|
||||
include: '*' # 需要开放的端点。默认值只打开 health 和 info 两个端点。通过设置 * ，可以开放所有端点。
|
||||
|
||||
# Spring Boot Admin 配置项
|
||||
spring:
|
||||
boot:
|
||||
admin:
|
||||
# Spring Boot Admin Client 客户端的相关配置
|
||||
client:
|
||||
instance:
|
||||
service-host-type: IP # 注册实例时，优先使用 IP [IP, HOST_NAME, CANONICAL_HOST_NAME]
|
||||
username: admin
|
||||
password: admin
|
||||
group: DEFAULT_GROUP # 使用的 Nacos 配置分组，默认为 DEFAULT_GROUP
|
||||
|
||||
# 日志文件配置
|
||||
logging:
|
||||
level:
|
||||
org.springframework.context.support.PostProcessorRegistrationDelegate: ERROR # TODO 芋艿：先禁用，Spring Boot 3.X 存在部分错误的 WARN 提示
|
||||
|
||||
|
|
|
|||
|
|
@ -192,17 +192,8 @@ spring:
|
|||
- Path=/admin-api/iot/**
|
||||
filters:
|
||||
- RewritePath=/admin-api/iot/v3/api-docs, /v3/api-docs # 配置，保证转发到 /v3/api-docs
|
||||
## mes-server 服务
|
||||
- id: mes-admin-api # 路由的编号
|
||||
uri: grayLb://mes-server
|
||||
predicates: # 断言，作为路由的匹配条件，对应 RouteDefinition 数组
|
||||
- Path=/admin-api/mes/**
|
||||
filters:
|
||||
- RewritePath=/admin-api/mes/v3/api-docs, /v3/api-docs # 配置，保证转发到 /v3/api-docs
|
||||
x-forwarded:
|
||||
prefix-enabled: false # 避免 Swagger 重复带上额外的 /admin-api/system 前缀
|
||||
default-filters: # 全局过滤器，对应 GatewayFilterDefinition 数组
|
||||
- DedupeResponseHeader=Access-Control-Allow-Credentials Access-Control-Allow-Origin
|
||||
|
||||
server:
|
||||
port: 48080
|
||||
|
|
@ -258,9 +249,6 @@ knife4j:
|
|||
- name: iot-server
|
||||
service-name: iot-server
|
||||
url: /admin-api/iot/v3/api-docs
|
||||
- name: mes-server
|
||||
service-name: mes-server
|
||||
url: /admin-api/mes/v3/api-docs
|
||||
|
||||
--- #################### 芋道相关配置 ####################
|
||||
|
||||
|
|
|
|||
|
|
@ -1,53 +0,0 @@
|
|||
package cn.iocoder.yudao.module.ai.enums;
|
||||
|
||||
import lombok.AllArgsConstructor;
|
||||
import lombok.Getter;
|
||||
|
||||
/**
|
||||
* AI 知识库文档切片策略枚举
|
||||
*
|
||||
* @author runzhen
|
||||
*/
|
||||
@AllArgsConstructor
|
||||
@Getter
|
||||
public enum AiDocumentSplitStrategyEnum {
|
||||
|
||||
/**
|
||||
* 自动识别文档类型并选择最佳切片策略
|
||||
*/
|
||||
AUTO("auto", "自动识别"),
|
||||
|
||||
/**
|
||||
* 基于 Token 数量机械切分（默认策略）
|
||||
*/
|
||||
TOKEN("token", "Token 切分"),
|
||||
|
||||
/**
|
||||
* 按段落切分（以双换行符为分隔）
|
||||
*/
|
||||
PARAGRAPH("paragraph", "段落切分"),
|
||||
|
||||
/**
|
||||
* Markdown QA 格式专用切片器
|
||||
* 识别二级标题作为问题，保持问答对完整性
|
||||
* 长答案智能切分但保留问题作为上下文
|
||||
*/
|
||||
MARKDOWN_QA("markdown_qa", "Markdown QA 切分"),
|
||||
|
||||
/**
|
||||
* 语义化切分，保留句子完整性
|
||||
* 在段落和句子边界处切分，避免截断
|
||||
*/
|
||||
SEMANTIC("semantic", "语义切分");
|
||||
|
||||
/**
|
||||
* 策略代码
|
||||
*/
|
||||
private final String code;
|
||||
|
||||
/**
|
||||
* 策略名称
|
||||
*/
|
||||
private final String name;
|
||||
|
||||
}
|
||||
|
|
@ -19,9 +19,8 @@
|
|||
国外：OpenAI、Ollama、Midjourney、StableDiffusion、Suno
|
||||
</description>
|
||||
<properties>
|
||||
<spring-ai.version>1.1.5</spring-ai.version>
|
||||
<!-- https://mvnrepository.com/artifact/com.alibaba.cloud.ai/spring-ai-alibaba -->
|
||||
<alibaba-ai.version>1.1.2.2</alibaba-ai.version>
|
||||
<spring-ai.version>1.1.0</spring-ai.version>
|
||||
<alibaba-ai.version>1.1.0.0-M5</alibaba-ai.version>
|
||||
<tinyflow.version>1.2.6</tinyflow.version>
|
||||
</properties>
|
||||
|
||||
|
|
@ -240,12 +239,6 @@
|
|||
<groupId>org.springframework.ai</groupId>
|
||||
<artifactId>spring-ai-starter-mcp-server-webmvc</artifactId>
|
||||
<version>${spring-ai.version}</version>
|
||||
<exclusions>
|
||||
<exclusion>
|
||||
<groupId>io.swagger.core.v3</groupId>
|
||||
<artifactId>swagger-annotations-jakarta</artifactId>
|
||||
</exclusion>
|
||||
</exclusions>
|
||||
</dependency>
|
||||
<dependency>
|
||||
<!-- 客户端 -->
|
||||
|
|
@ -269,11 +262,6 @@
|
|||
<groupId>com.agentsflex</groupId>
|
||||
<artifactId>agents-flex-store-elasticsearch</artifactId>
|
||||
</exclusion>
|
||||
<exclusion>
|
||||
<!-- 解决 https://t.zsxq.com/pCBZC 问题 -->
|
||||
<groupId>com.agentsflex</groupId>
|
||||
<artifactId>agents-flex-search-engine-es</artifactId>
|
||||
</exclusion>
|
||||
<exclusion>
|
||||
<!-- TODO @芋艿：暂时移除 groovy，和 iot 冲突 -->
|
||||
<groupId>org.codehaus.groovy</groupId>
|
||||
|
|
|
|||
|
|
@ -83,15 +83,6 @@ public class AiKnowledgeSegmentController {
|
|||
return success(true);
|
||||
}
|
||||
|
||||
@DeleteMapping("/delete")
|
||||
@Operation(summary = "删除段落")
|
||||
@Parameter(name = "id", description = "段落编号", required = true, example = "1024")
|
||||
@PreAuthorize("@ss.hasPermission('ai:knowledge:delete')")
|
||||
public CommonResult<Boolean> deleteKnowledgeSegment(@RequestParam("id") Long id) {
|
||||
segmentService.deleteKnowledgeSegment(id);
|
||||
return success(true);
|
||||
}
|
||||
|
||||
@GetMapping("/split")
|
||||
@Operation(summary = "切片内容")
|
||||
@Parameters({
|
||||
|
|
|
|||
|
|
@ -11,7 +11,7 @@ import lombok.Data;
|
|||
public class AiKnowledgeSegmentPageReqVO extends PageParam {
|
||||
|
||||
@Schema(description = "文档编号", example = "1")
|
||||
private Long documentId;
|
||||
private Integer documentId;
|
||||
|
||||
@Schema(description = "分段内容关键字", example = "Java 开发")
|
||||
private String content;
|
||||
|
|
|
|||
|
|
@ -27,7 +27,7 @@ import java.util.List;
|
|||
* @since 2024/4/14 17:35
|
||||
*/
|
||||
@TableName(value = "ai_chat_message", autoResultMap = true)
|
||||
@KeySequence("ai_chat_message_seq") // 用于 Oracle、PostgreSQL、Kingbase、DB2、H2 数据库的主键自增。如果是 MySQL 等数据库，可不写。
|
||||
@KeySequence("ai_chat_conversation_seq") // 用于 Oracle、PostgreSQL、Kingbase、DB2、H2 数据库的主键自增。如果是 MySQL 等数据库，可不写。
|
||||
@Data
|
||||
@Builder
|
||||
@NoArgsConstructor
|
||||
|
|
|
|||
|
|
@ -14,7 +14,7 @@ import lombok.*;
|
|||
* @author 芋道源码
|
||||
*/
|
||||
@TableName("ai_api_key")
|
||||
@KeySequence("ai_api_key_seq") // 用于 Oracle、PostgreSQL、Kingbase、DB2、H2 数据库的主键自增。如果是 MySQL 等数据库，可不写。
|
||||
@KeySequence("ai_chat_conversation_seq") // 用于 Oracle、PostgreSQL、Kingbase、DB2、H2 数据库的主键自增。如果是 MySQL 等数据库，可不写。
|
||||
@Data
|
||||
@Builder
|
||||
@NoArgsConstructor
|
||||
|
|
|
|||
|
|
@ -51,7 +51,8 @@ public interface AiKnowledgeSegmentMapper extends BaseMapperX<AiKnowledgeSegment
|
|||
MPJLambdaWrapper<AiKnowledgeSegmentDO> wrapper = new MPJLambdaWrapperX<AiKnowledgeSegmentDO>()
|
||||
.selectAs(AiKnowledgeSegmentDO::getDocumentId, AiKnowledgeSegmentProcessRespVO::getDocumentId)
|
||||
.selectCount(AiKnowledgeSegmentDO::getId, "count")
|
||||
.select("COUNT(CASE WHEN vector_id IS NOT NULL AND vector_id <> '" + AiKnowledgeSegmentDO.VECTOR_ID_EMPTY + "' THEN 1 ELSE NULL END) AS embeddingCount")
|
||||
.select("COUNT(CASE WHEN vector_id > '" + AiKnowledgeSegmentDO.VECTOR_ID_EMPTY
|
||||
+ "' THEN 1 ELSE NULL END) AS embeddingCount")
|
||||
.in(AiKnowledgeSegmentDO::getDocumentId, documentIds)
|
||||
.groupBy(AiKnowledgeSegmentDO::getDocumentId);
|
||||
return selectJoinList(AiKnowledgeSegmentProcessRespVO.class, wrapper);
|
||||
|
|
|
|||
|
|
@ -37,6 +37,7 @@ import cn.iocoder.yudao.module.ai.util.AiUtils;
|
|||
import cn.iocoder.yudao.module.ai.util.FileTypeUtils;
|
||||
import com.google.common.collect.Maps;
|
||||
import io.modelcontextprotocol.client.McpSyncClient;
|
||||
import jakarta.annotation.Resource;
|
||||
import lombok.extern.slf4j.Slf4j;
|
||||
import org.springframework.ai.chat.messages.Message;
|
||||
import org.springframework.ai.chat.messages.MessageType;
|
||||
|
|
@ -58,8 +59,6 @@ import reactor.core.publisher.Flux;
|
|||
|
||||
import java.time.LocalDateTime;
|
||||
import java.util.*;
|
||||
import java.util.concurrent.atomic.AtomicBoolean;
|
||||
import java.util.concurrent.atomic.AtomicReference;
|
||||
import java.util.stream.Collectors;
|
||||
|
||||
import static cn.iocoder.yudao.framework.common.exception.util.ServiceExceptionUtil.exception;
|
||||
|
|
@ -232,24 +231,20 @@ public class AiChatMessageServiceImpl implements AiChatMessageService {
|
|||
// 4.3 流式返回
|
||||
StringBuffer contentBuffer = new StringBuffer();
|
||||
StringBuffer reasoningContentBuffer = new StringBuffer();
|
||||
|
||||
// 防止执行多次知识库和联网搜索
|
||||
AtomicBoolean firstExecuteFlag = new AtomicBoolean(true);
|
||||
AtomicReference<List<AiChatMessageRespVO.KnowledgeSegment>> cacheSegments = new AtomicReference<>();
|
||||
AtomicReference<List<AiWebSearchResponse.WebPage>> cacheWebSearchPages = new AtomicReference<>();
|
||||
return streamResponse.map(chunk -> {
|
||||
// 仅首次：返回知识库、联网搜索
|
||||
List<AiChatMessageRespVO.KnowledgeSegment> segments = null;
|
||||
List<AiWebSearchResponse.WebPage> webSearchPages = null;
|
||||
if (StrUtil.isEmpty(contentBuffer)) {
|
||||
if (firstExecuteFlag.compareAndSet(true, false)) { // CAS 操作，确保仅执行一次
|
||||
Map<Long, AiKnowledgeDocumentDO> documentMap = TenantUtils.executeIgnore(() -> knowledgeDocumentService.getKnowledgeDocumentMap(
|
||||
convertSet(knowledgeSegments, AiKnowledgeSegmentSearchRespBO::getDocumentId)));
|
||||
cacheSegments.set(BeanUtils.toBean(knowledgeSegments, AiChatMessageRespVO.KnowledgeSegment.class, segment -> {
|
||||
AiKnowledgeDocumentDO document = documentMap.get(segment.getDocumentId());
|
||||
segment.setDocumentName(document != null ? document.getName() : null);
|
||||
}));
|
||||
if (webSearchResponse != null) {
|
||||
cacheWebSearchPages.set(webSearchResponse.getLists());
|
||||
}
|
||||
Map<Long, AiKnowledgeDocumentDO> documentMap = TenantUtils.executeIgnore(() ->
|
||||
knowledgeDocumentService.getKnowledgeDocumentMap(
|
||||
convertSet(knowledgeSegments, AiKnowledgeSegmentSearchRespBO::getDocumentId)));
|
||||
segments = BeanUtils.toBean(knowledgeSegments, AiChatMessageRespVO.KnowledgeSegment.class, segment -> {
|
||||
AiKnowledgeDocumentDO document = documentMap.get(segment.getDocumentId());
|
||||
segment.setDocumentName(document != null ? document.getName() : null);
|
||||
});
|
||||
if (webSearchResponse != null) {
|
||||
webSearchPages = webSearchResponse.getLists();
|
||||
}
|
||||
}
|
||||
// 响应结果
|
||||
|
|
@ -266,7 +261,7 @@ public class AiChatMessageServiceImpl implements AiChatMessageService {
|
|||
.setReceive(BeanUtils.toBean(assistantMessage, AiChatMessageSendRespVO.Message.class)
|
||||
.setContent(StrUtil.nullToDefault(newContent, "")) // 避免 null 的 情况
|
||||
.setReasoningContent(StrUtil.nullToDefault(newReasoningContent, "")) // 避免 null 的 情况
|
||||
.setSegments(cacheSegments.get()).setWebSearchPages(cacheWebSearchPages.get()))); // 知识库 + 联网搜索
|
||||
.setSegments(segments).setWebSearchPages(webSearchPages))); // 知识库 + 联网搜索
|
||||
}).doOnComplete(() -> {
|
||||
// 忽略租户，因为 Flux 异步无法透传租户
|
||||
TenantUtils.executeIgnore(() -> chatMessageMapper.updateById(
|
||||
|
|
|
|||
|
|
@ -109,7 +109,6 @@ public class AiImageServiceImpl implements AiImageService {
|
|||
}
|
||||
|
||||
@Async
|
||||
@SuppressWarnings("ConstantValue")
|
||||
public void executeDrawImage(AiImageDO image, AiImageDrawReqVO reqVO, AiModelDO model) {
|
||||
try {
|
||||
// 1.1 构建请求
|
||||
|
|
@ -165,8 +164,8 @@ public class AiImageServiceImpl implements AiImageService {
|
|||
.build();
|
||||
} else if (ObjUtil.equal(model.getPlatform(), AiPlatformEnum.TONG_YI.getPlatform())) {
|
||||
return DashScopeImageOptions.builder()
|
||||
.model(model.getModel()).n(1)
|
||||
.height(draw.getHeight()).width(draw.getWidth())
|
||||
.withModel(model.getModel()).withN(1)
|
||||
.withHeight(draw.getHeight()).withWidth(draw.getWidth())
|
||||
.build();
|
||||
} else if (ObjUtil.equal(model.getPlatform(), AiPlatformEnum.YI_YAN.getPlatform())) {
|
||||
return QianFanImageOptions.builder()
|
||||
|
|
|
|||
|
|
@ -98,13 +98,6 @@ public interface AiKnowledgeSegmentService {
|
|||
*/
|
||||
void updateKnowledgeSegmentStatus(AiKnowledgeSegmentUpdateStatusReqVO reqVO);
|
||||
|
||||
/**
|
||||
* 删除知识库段落
|
||||
*
|
||||
* @param id 段落编号
|
||||
*/
|
||||
void deleteKnowledgeSegment(Long id);
|
||||
|
||||
/**
|
||||
* 重新索引知识库下的所有文档段落
|
||||
*
|
||||
|
|
|
|||
|
|
@ -4,7 +4,6 @@ import cn.hutool.core.collection.CollUtil;
|
|||
import cn.hutool.core.collection.ListUtil;
|
||||
import cn.hutool.core.util.ObjUtil;
|
||||
import cn.hutool.core.util.StrUtil;
|
||||
|
||||
import cn.iocoder.yudao.framework.common.enums.CommonStatusEnum;
|
||||
import cn.iocoder.yudao.framework.common.pojo.PageResult;
|
||||
import cn.iocoder.yudao.framework.common.util.object.BeanUtils;
|
||||
|
|
@ -16,11 +15,8 @@ import cn.iocoder.yudao.module.ai.dal.dataobject.knowledge.AiKnowledgeDO;
|
|||
import cn.iocoder.yudao.module.ai.dal.dataobject.knowledge.AiKnowledgeDocumentDO;
|
||||
import cn.iocoder.yudao.module.ai.dal.dataobject.knowledge.AiKnowledgeSegmentDO;
|
||||
import cn.iocoder.yudao.module.ai.dal.mysql.knowledge.AiKnowledgeSegmentMapper;
|
||||
import cn.iocoder.yudao.module.ai.enums.AiDocumentSplitStrategyEnum;
|
||||
import cn.iocoder.yudao.module.ai.service.knowledge.bo.AiKnowledgeSegmentSearchReqBO;
|
||||
import cn.iocoder.yudao.module.ai.service.knowledge.bo.AiKnowledgeSegmentSearchRespBO;
|
||||
import cn.iocoder.yudao.module.ai.service.knowledge.splitter.MarkdownQaSplitter;
|
||||
import cn.iocoder.yudao.module.ai.service.knowledge.splitter.SemanticTextSplitter;
|
||||
import cn.iocoder.yudao.module.ai.service.model.AiModelService;
|
||||
import com.alibaba.cloud.ai.dashscope.rerank.DashScopeRerankOptions;
|
||||
import com.alibaba.cloud.ai.model.RerankModel;
|
||||
|
|
@ -43,7 +39,8 @@ import java.util.*;
|
|||
|
||||
import static cn.iocoder.yudao.framework.common.exception.util.ServiceExceptionUtil.exception;
|
||||
import static cn.iocoder.yudao.framework.common.util.collection.CollectionUtils.convertList;
|
||||
import static cn.iocoder.yudao.module.ai.enums.ErrorCodeConstants.*;
|
||||
import static cn.iocoder.yudao.module.ai.enums.ErrorCodeConstants.KNOWLEDGE_SEGMENT_CONTENT_TOO_LONG;
|
||||
import static cn.iocoder.yudao.module.ai.enums.ErrorCodeConstants.KNOWLEDGE_SEGMENT_NOT_EXISTS;
|
||||
import static org.springframework.ai.vectorstore.SearchRequest.SIMILARITY_THRESHOLD_ACCEPT_ALL;
|
||||
|
||||
/**
|
||||
|
|
@ -98,9 +95,8 @@ public class AiKnowledgeSegmentServiceImpl implements AiKnowledgeSegmentService
|
|||
AiKnowledgeDO knowledgeDO = knowledgeService.validateKnowledgeExists(documentDO.getKnowledgeId());
|
||||
VectorStore vectorStore = getVectorStoreById(knowledgeDO);
|
||||
|
||||
// 2. 文档切片（使用自动检测策略）
|
||||
List<Document> documentSegments = splitContentByStrategy(content, documentDO.getSegmentMaxTokens(),
|
||||
AiDocumentSplitStrategyEnum.AUTO, documentDO.getUrl());
|
||||
// 2. 文档切片
|
||||
List<Document> documentSegments = splitContentByToken(content, documentDO.getSegmentMaxTokens());
|
||||
|
||||
// 3.1 存储切片
|
||||
List<AiKnowledgeSegmentDO> segmentDOs = convertList(documentSegments, segment -> {
|
||||
|
|
@ -141,19 +137,6 @@ public class AiKnowledgeSegmentServiceImpl implements AiKnowledgeSegmentService
|
|||
}
|
||||
}
|
||||
|
||||
@Override
|
||||
public void deleteKnowledgeSegment(Long id) {
|
||||
// 1. 校验段落存在
|
||||
AiKnowledgeSegmentDO segment = validateKnowledgeSegmentExists(id);
|
||||
|
||||
// 2. 删除向量
|
||||
VectorStore vectorStore = getVectorStoreById(segment.getKnowledgeId());
|
||||
deleteVectorStore(vectorStore, segment);
|
||||
|
||||
// 3. 删除段落记录
|
||||
segmentMapper.deleteById(id);
|
||||
}
|
||||
|
||||
@Override
|
||||
public void deleteKnowledgeSegmentByDocumentId(Long documentId) {
|
||||
// 1. 查询需要删除的段落
|
||||
|
|
@ -312,10 +295,8 @@ public class AiKnowledgeSegmentServiceImpl implements AiKnowledgeSegmentService
|
|||
// 1. 读取 URL 内容
|
||||
String content = knowledgeDocumentService.readUrl(url);
|
||||
|
||||
// 2.1 自动检测文档类型并选择策略
|
||||
AiDocumentSplitStrategyEnum strategy = detectDocumentStrategy(content, url);
|
||||
// 2.2 文档切片
|
||||
List<Document> documentSegments = splitContentByStrategy(content, segmentMaxTokens, strategy, url);
|
||||
// 2. 文档切片
|
||||
List<Document> documentSegments = splitContentByToken(content, segmentMaxTokens);
|
||||
|
||||
// 3. 转换为段落对象
|
||||
return convertList(documentSegments, segment -> {
|
||||
|
|
@ -352,103 +333,11 @@ public class AiKnowledgeSegmentServiceImpl implements AiKnowledgeSegmentService
|
|||
return getVectorStoreById(knowledge);
|
||||
}
|
||||
|
||||
/**
|
||||
* 根据策略切分内容
|
||||
*
|
||||
* @param content 文档内容
|
||||
* @param segmentMaxTokens 分段的最大 Token 数
|
||||
* @param strategy 切片策略
|
||||
* @param url 文档 URL（用于自动检测文件类型）
|
||||
* @return 切片后的文档列表
|
||||
*/
|
||||
@SuppressWarnings("EnhancedSwitchMigration")
|
||||
private List<Document> splitContentByStrategy(String content, Integer segmentMaxTokens,
|
||||
AiDocumentSplitStrategyEnum strategy, String url) {
|
||||
// 自动检测策略
|
||||
if (strategy == AiDocumentSplitStrategyEnum.AUTO) {
|
||||
strategy = detectDocumentStrategy(content, url);
|
||||
log.info("[splitContentByStrategy][自动检测到文档策略: {}]", strategy.getName());
|
||||
}
|
||||
// 根据策略切分
|
||||
TextSplitter textSplitter;
|
||||
switch (strategy) {
|
||||
case MARKDOWN_QA:
|
||||
textSplitter = new MarkdownQaSplitter(segmentMaxTokens);
|
||||
break;
|
||||
case SEMANTIC:
|
||||
textSplitter = new SemanticTextSplitter(segmentMaxTokens);
|
||||
break;
|
||||
case PARAGRAPH:
|
||||
textSplitter = new SemanticTextSplitter(segmentMaxTokens, 0); // 段落切分，无重叠
|
||||
break;
|
||||
case TOKEN:
|
||||
default:
|
||||
textSplitter = buildTokenTextSplitter(segmentMaxTokens);
|
||||
break;
|
||||
}
|
||||
// 执行切分
|
||||
private static List<Document> splitContentByToken(String content, Integer segmentMaxTokens) {
|
||||
TextSplitter textSplitter = buildTokenTextSplitter(segmentMaxTokens);
|
||||
return textSplitter.apply(Collections.singletonList(new Document(content)));
|
||||
}
|
||||
|
||||
/**
|
||||
* 自动检测文档类型并选择切片策略
|
||||
*
|
||||
* @param content 文档内容
|
||||
* @param url 文档 URL
|
||||
* @return 推荐的切片策略
|
||||
*/
|
||||
private AiDocumentSplitStrategyEnum detectDocumentStrategy(String content, String url) {
|
||||
if (StrUtil.isEmpty(content)) {
|
||||
return AiDocumentSplitStrategyEnum.TOKEN;
|
||||
}
|
||||
// 1. 检测 Markdown QA 格式
|
||||
if (isMarkdownQaFormat(content, url)) {
|
||||
return AiDocumentSplitStrategyEnum.MARKDOWN_QA;
|
||||
}
|
||||
// 2. 检测普通 Markdown 文档
|
||||
if (isMarkdownDocument(url)) {
|
||||
return AiDocumentSplitStrategyEnum.SEMANTIC;
|
||||
}
|
||||
// 3. 默认使用语义切分（比 Token 切分更智能）
|
||||
return AiDocumentSplitStrategyEnum.SEMANTIC;
|
||||
}
|
||||
|
||||
/**
|
||||
* 检测是否为 Markdown QA 格式
|
||||
* 特征：包含多个二级标题（## ）且标题后紧跟答案内容
|
||||
*/
|
||||
private boolean isMarkdownQaFormat(String content, String url) {
|
||||
// 文件扩展名判断
|
||||
if (StrUtil.isNotEmpty(url) && !url.toLowerCase().endsWith(".md")) {
|
||||
return false;
|
||||
}
|
||||
|
||||
// 统计二级标题数量
|
||||
long h2Count = content.lines()
|
||||
.filter(line -> line.trim().startsWith("## "))
|
||||
.count();
|
||||
|
||||
// 要求一：至少包含 2 个二级标题才认为是 QA 格式
|
||||
if (h2Count < 2) {
|
||||
return false;
|
||||
}
|
||||
|
||||
// 要求二：检查标题占比（QA 文档标题行数相对较多），如果二级标题占比超过 10%，认为是 QA 格式
|
||||
long totalLines = content.lines().count();
|
||||
double h2Ratio = (double) h2Count / totalLines;
|
||||
return h2Ratio > 0.1;
|
||||
}
|
||||
|
||||
/**
|
||||
* 检测是否为 Markdown 文档
|
||||
*/
|
||||
private boolean isMarkdownDocument(String url) {
|
||||
return StrUtil.endWithAnyIgnoreCase(url, ".md", ".markdown");
|
||||
}
|
||||
|
||||
/**
|
||||
* 构建基于 Token 的文本切片器（原有逻辑保留）
|
||||
*/
|
||||
private static TextSplitter buildTokenTextSplitter(Integer segmentMaxTokens) {
|
||||
return TokenTextSplitter.builder()
|
||||
.withChunkSize(segmentMaxTokens)
|
||||
|
|
|
|||
|
|
@ -1,342 +0,0 @@
|
|||
package cn.iocoder.yudao.module.ai.service.knowledge.splitter;
|
||||
|
||||
import cn.hutool.core.collection.CollUtil;
|
||||
import cn.hutool.core.util.StrUtil;
|
||||
import lombok.AllArgsConstructor;
|
||||
import lombok.extern.slf4j.Slf4j;
|
||||
import org.springframework.ai.transformer.splitter.TextSplitter;
|
||||
|
||||
import java.util.ArrayList;
|
||||
import java.util.Collections;
|
||||
import java.util.List;
|
||||
import java.util.regex.Matcher;
|
||||
import java.util.regex.Pattern;
|
||||
|
||||
/**
|
||||
* Markdown QA 格式专用切片器
|
||||
*
|
||||
* <p>功能特点：
|
||||
* <ul>
|
||||
* <li>识别二级标题（## ）作为问题标记</li>
|
||||
* <li>短 QA 对保持完整（不超过 Token 限制）</li>
|
||||
* <li>长答案智能切分，每个片段保留完整问题作为上下文</li>
|
||||
* <li>支持自定义 Token 估算器</li>
|
||||
* </ul>
|
||||
*
|
||||
* @author runzhen
|
||||
*/
|
||||
@Slf4j
|
||||
@SuppressWarnings("SizeReplaceableByIsEmpty")
|
||||
public class MarkdownQaSplitter extends TextSplitter {
|
||||
|
||||
/**
|
||||
* 二级标题正则：匹配 "## " 开头的行
|
||||
*/
|
||||
private static final Pattern H2_PATTERN = Pattern.compile("^##\\s+(.+)$", Pattern.MULTILINE);
|
||||
|
||||
/**
|
||||
* 段落分隔符：双换行
|
||||
*/
|
||||
private static final String PARAGRAPH_SEPARATOR = "\n\n";
|
||||
|
||||
/**
|
||||
* 句子分隔符
|
||||
*/
|
||||
private static final Pattern SENTENCE_PATTERN = Pattern.compile("[。！？.!?]\\s*");
|
||||
|
||||
/**
|
||||
* 分段的最大 Token 数
|
||||
*/
|
||||
private final int chunkSize;
|
||||
|
||||
/**
|
||||
* Token 估算器（简单实现：中文按字符数，英文按单词数的 1.3 倍）
|
||||
*/
|
||||
private final TokenEstimator tokenEstimator;
|
||||
|
||||
public MarkdownQaSplitter(int chunkSize) {
|
||||
this.chunkSize = chunkSize;
|
||||
this.tokenEstimator = new SimpleTokenEstimator();
|
||||
}
|
||||
|
||||
@Override
|
||||
protected List<String> splitText(String text) {
|
||||
if (StrUtil.isEmpty(text)) {
|
||||
return Collections.emptyList();
|
||||
}
|
||||
|
||||
// 解析 QA 对
|
||||
List<QaPair> qaPairs = parseQaPairs(text);
|
||||
if (CollUtil.isEmpty(qaPairs)) {
|
||||
// 如果没有识别到 QA 格式，按段落切分
|
||||
return fallbackSplit(text);
|
||||
}
|
||||
|
||||
// 处理每个 QA 对
|
||||
List<String> result = new ArrayList<>();
|
||||
for (QaPair qaPair : qaPairs) {
|
||||
result.addAll(splitQaPair(qaPair));
|
||||
}
|
||||
return result;
|
||||
}
|
||||
|
||||
/**
|
||||
* 解析 Markdown QA 对
|
||||
*
|
||||
* @param content 文本内容
|
||||
* @return QA 对列表
|
||||
*/
|
||||
private List<QaPair> parseQaPairs(String content) {
|
||||
// 找到所有二级标题位置
|
||||
List<QaPair> qaPairs = new ArrayList<>();
|
||||
List<Integer> headingPositions = new ArrayList<>();
|
||||
List<String> questions = new ArrayList<>();
|
||||
Matcher matcher = H2_PATTERN.matcher(content);
|
||||
while (matcher.find()) {
|
||||
headingPositions.add(matcher.start());
|
||||
questions.add(matcher.group(1).trim());
|
||||
}
|
||||
if (CollUtil.isEmpty(headingPositions)) {
|
||||
return qaPairs;
|
||||
}
|
||||
|
||||
// 提取每个 QA 对
|
||||
for (int i = 0; i < headingPositions.size(); i++) {
|
||||
int start = headingPositions.get(i);
|
||||
int end = (i + 1 < headingPositions.size())
|
||||
? headingPositions.get(i + 1)
|
||||
: content.length();
|
||||
String qaText = content.substring(start, end).trim();
|
||||
String question = questions.get(i);
|
||||
// 提取答案部分（去掉问题标题）
|
||||
String answer = qaText.substring(qaText.indexOf('\n') + 1).trim();
|
||||
qaPairs.add(new QaPair(question, answer, qaText));
|
||||
}
|
||||
return qaPairs;
|
||||
}
|
||||
|
||||
/**
|
||||
* 切分单个 QA 对
|
||||
*
|
||||
* @param qaPair QA 对
|
||||
* @return 切分后的文本片段列表
|
||||
*/
|
||||
private List<String> splitQaPair(QaPair qaPair) {
|
||||
// 如果整个 QA 对不超过限制，保持完整
|
||||
List<String> chunks = new ArrayList<>();
|
||||
String fullQa = qaPair.fullText;
|
||||
int qaTokens = tokenEstimator.estimate(fullQa);
|
||||
if (qaTokens <= chunkSize) {
|
||||
chunks.add(fullQa);
|
||||
return chunks;
|
||||
}
|
||||
|
||||
// 长答案需要切分
|
||||
log.debug("QA 对超过 Token 限制 ({} > {})，开始智能切分: {}", qaTokens, chunkSize, qaPair.question);
|
||||
List<String> answerChunks = splitLongAnswer(qaPair.answer, qaPair.question);
|
||||
for (String answerChunk : answerChunks) {
|
||||
// 每个片段都包含完整问题
|
||||
String chunkText = "## " + qaPair.question + "\n" + answerChunk;
|
||||
chunks.add(chunkText);
|
||||
}
|
||||
return chunks;
|
||||
}
|
||||
|
||||
/**
|
||||
* 切分长答案
|
||||
*
|
||||
* @param answer 答案文本
|
||||
* @param question 问题文本
|
||||
* @return 切分后的答案片段列表
|
||||
*/
|
||||
private List<String> splitLongAnswer(String answer, String question) {
|
||||
List<String> chunks = new ArrayList<>();
|
||||
// 预留问题的 Token 空间
|
||||
String questionHeader = "## " + question + "\n";
|
||||
int questionTokens = tokenEstimator.estimate(questionHeader);
|
||||
int availableTokens = chunkSize - questionTokens - 10; // 预留 10 个 Token 的缓冲
|
||||
|
||||
// 先按段落切分
|
||||
String[] paragraphs = answer.split(PARAGRAPH_SEPARATOR);
|
||||
StringBuilder currentChunk = new StringBuilder();
|
||||
int currentTokens = 0;
|
||||
for (String paragraph : paragraphs) {
|
||||
if (StrUtil.isEmpty(paragraph)) {
|
||||
continue;
|
||||
}
|
||||
int paragraphTokens = tokenEstimator.estimate(paragraph);
|
||||
// 如果单个段落就超过限制，需要按句子切分
|
||||
if (paragraphTokens > availableTokens) {
|
||||
// 先保存当前块
|
||||
if (currentChunk.length() > 0) {
|
||||
chunks.add(currentChunk.toString().trim());
|
||||
currentChunk = new StringBuilder();
|
||||
currentTokens = 0;
|
||||
}
|
||||
// 按句子切分长段落
|
||||
chunks.addAll(splitLongParagraph(paragraph, availableTokens));
|
||||
continue;
|
||||
}
|
||||
// 如果加上这个段落会超过限制
|
||||
if (currentTokens + paragraphTokens > availableTokens && currentChunk.length() > 0) {
|
||||
chunks.add(currentChunk.toString().trim());
|
||||
currentChunk = new StringBuilder();
|
||||
currentTokens = 0;
|
||||
}
|
||||
if (currentChunk.length() > 0) {
|
||||
currentChunk.append("\n\n");
|
||||
}
|
||||
// 添加段落
|
||||
currentChunk.append(paragraph);
|
||||
currentTokens += paragraphTokens;
|
||||
}
|
||||
|
||||
// 添加最后一块
|
||||
if (currentChunk.length() > 0) {
|
||||
chunks.add(currentChunk.toString().trim());
|
||||
}
|
||||
return CollUtil.isEmpty(chunks) ? Collections.singletonList(answer) : chunks;
|
||||
}
|
||||
|
||||
/**
|
||||
* 切分长段落（按句子）
|
||||
*
|
||||
* @param paragraph 段落文本
|
||||
* @param availableTokens 可用的 Token 数
|
||||
* @return 切分后的文本片段列表
|
||||
*/
|
||||
private List<String> splitLongParagraph(String paragraph, int availableTokens) {
|
||||
// 按句子切分
|
||||
List<String> chunks = new ArrayList<>();
|
||||
String[] sentences = SENTENCE_PATTERN.split(paragraph);
|
||||
|
||||
// 按句子累积切分
|
||||
StringBuilder currentChunk = new StringBuilder();
|
||||
int currentTokens = 0;
|
||||
for (String sentence : sentences) {
|
||||
if (StrUtil.isEmpty(sentence)) {
|
||||
continue;
|
||||
}
|
||||
int sentenceTokens = tokenEstimator.estimate(sentence);
|
||||
// 如果单个句子就超过限制，强制切分
|
||||
if (sentenceTokens > availableTokens) {
|
||||
if (currentChunk.length() > 0) {
|
||||
chunks.add(currentChunk.toString().trim());
|
||||
currentChunk = new StringBuilder();
|
||||
currentTokens = 0;
|
||||
}
|
||||
chunks.add(sentence.trim());
|
||||
continue;
|
||||
}
|
||||
// 如果加上这个句子会超过限制
|
||||
if (currentTokens + sentenceTokens > availableTokens && currentChunk.length() > 0) {
|
||||
chunks.add(currentChunk.toString().trim());
|
||||
currentChunk = new StringBuilder();
|
||||
currentTokens = 0;
|
||||
}
|
||||
// 添加句子
|
||||
currentChunk.append(sentence);
|
||||
currentTokens += sentenceTokens;
|
||||
}
|
||||
|
||||
// 添加最后一块
|
||||
if (currentChunk.length() > 0) {
|
||||
chunks.add(currentChunk.toString().trim());
|
||||
}
|
||||
return chunks.isEmpty() ? Collections.singletonList(paragraph) : chunks;
|
||||
}
|
||||
|
||||
/**
|
||||
* 降级切分策略（当未识别到 QA 格式时）
|
||||
*
|
||||
* @param content 文本内容
|
||||
* @return 切分后的文本片段列表
|
||||
*/
|
||||
private List<String> fallbackSplit(String content) {
|
||||
// 按段落切分
|
||||
List<String> chunks = new ArrayList<>();
|
||||
String[] paragraphs = content.split(PARAGRAPH_SEPARATOR);
|
||||
|
||||
// 按段落累积切分
|
||||
StringBuilder currentChunk = new StringBuilder();
|
||||
int currentTokens = 0;
|
||||
for (String paragraph : paragraphs) {
|
||||
if (StrUtil.isEmpty(paragraph)) {
|
||||
continue;
|
||||
}
|
||||
int paragraphTokens = tokenEstimator.estimate(paragraph);
|
||||
// 如果加上这个段落会超过限制
|
||||
if (currentTokens + paragraphTokens > chunkSize && currentChunk.length() > 0) {
|
||||
chunks.add(currentChunk.toString().trim());
|
||||
currentChunk = new StringBuilder();
|
||||
currentTokens = 0;
|
||||
}
|
||||
// 添加段落
|
||||
if (currentChunk.length() > 0) {
|
||||
currentChunk.append("\n\n");
|
||||
}
|
||||
currentChunk.append(paragraph);
|
||||
currentTokens += paragraphTokens;
|
||||
}
|
||||
|
||||
// 添加最后一块
|
||||
if (currentChunk.length() > 0) {
|
||||
chunks.add(currentChunk.toString().trim());
|
||||
}
|
||||
return chunks.isEmpty() ? Collections.singletonList(content) : chunks;
|
||||
}
|
||||
|
||||
/**
|
||||
* QA 对数据结构
|
||||
*/
|
||||
@AllArgsConstructor
|
||||
private static class QaPair {
|
||||
|
||||
String question;
|
||||
String answer;
|
||||
String fullText;
|
||||
|
||||
}
|
||||
|
||||
/**
|
||||
* Token 估算器接口
|
||||
*/
|
||||
public interface TokenEstimator {
|
||||
|
||||
int estimate(String text);
|
||||
|
||||
}
|
||||
|
||||
/**
|
||||
* 简单的 Token 估算器实现
|
||||
* 中文：1 字符 ≈ 1 Token
|
||||
* 英文：1 单词 ≈ 1.3 Token
|
||||
*/
|
||||
private static class SimpleTokenEstimator implements TokenEstimator {
|
||||
|
||||
@Override
|
||||
public int estimate(String text) {
|
||||
if (StrUtil.isEmpty(text)) {
|
||||
return 0;
|
||||
}
|
||||
|
||||
int chineseChars = 0;
|
||||
int englishWords = 0;
|
||||
// 简单统计中英文
|
||||
for (char c : text.toCharArray()) {
|
||||
if (c >= 0x4E00 && c <= 0x9FA5) {
|
||||
chineseChars++;
|
||||
}
|
||||
}
|
||||
// 英文单词估算
|
||||
String[] words = text.split("\\s+");
|
||||
for (String word : words) {
|
||||
if (word.matches(".*[a-zA-Z].*")) {
|
||||
englishWords++;
|
||||
}
|
||||
}
|
||||
return chineseChars + (int) (englishWords * 1.3);
|
||||
}
|
||||
}
|
||||
|
||||
}
|
||||
|
|
@ -1,301 +0,0 @@
|
|||
package cn.iocoder.yudao.module.ai.service.knowledge.splitter;
|
||||
|
||||
import cn.hutool.core.util.StrUtil;
|
||||
import lombok.extern.slf4j.Slf4j;
|
||||
import org.springframework.ai.transformer.splitter.TextSplitter;
|
||||
|
||||
import java.util.ArrayList;
|
||||
import java.util.Arrays;
|
||||
import java.util.Collections;
|
||||
import java.util.List;
|
||||
import java.util.regex.Matcher;
|
||||
import java.util.regex.Pattern;
|
||||
|
||||
/**
|
||||
* 语义化文本切片器
|
||||
*
|
||||
* <p>功能特点：
|
||||
* <ul>
|
||||
* <li>优先在段落边界（双换行）处切分</li>
|
||||
* <li>其次在句子边界（句号、问号、感叹号）处切分</li>
|
||||
* <li>避免在句子中间截断，保持语义完整性</li>
|
||||
* <li>支持中英文标点符号识别</li>
|
||||
* </ul>
|
||||
*
|
||||
* @author runzhen
|
||||
*/
|
||||
@Slf4j
|
||||
public class SemanticTextSplitter extends TextSplitter {
|
||||
|
||||
/**
|
||||
* 分段的最大 Token 数
|
||||
*/
|
||||
private final int chunkSize;
|
||||
|
||||
/**
|
||||
* 段落重叠大小（用于保持上下文连贯性）
|
||||
*/
|
||||
private final int chunkOverlap;
|
||||
|
||||
/**
|
||||
* 段落分隔符（按优先级排序）
|
||||
*/
|
||||
private static final List<String> PARAGRAPH_SEPARATORS = Arrays.asList(
|
||||
"\n\n\n", // 三个换行
|
||||
"\n\n", // 双换行
|
||||
"\n" // 单换行
|
||||
);
|
||||
|
||||
/**
|
||||
* 句子结束标记（中英文标点）
|
||||
*/
|
||||
private static final Pattern SENTENCE_END_PATTERN = Pattern.compile(
|
||||
"[。！？.!?]+[\\s\"'）)】\\]]*"
|
||||
);
|
||||
|
||||
/**
|
||||
* Token 估算器
|
||||
*/
|
||||
private final MarkdownQaSplitter.TokenEstimator tokenEstimator;
|
||||
|
||||
public SemanticTextSplitter(int chunkSize, int chunkOverlap) {
|
||||
this.chunkSize = chunkSize;
|
||||
this.chunkOverlap = Math.min(chunkOverlap, chunkSize / 2); // 重叠不超过一半
|
||||
this.tokenEstimator = new SimpleTokenEstimator();
|
||||
}
|
||||
|
||||
public SemanticTextSplitter(int chunkSize) {
|
||||
this(chunkSize, 50); // 默认重叠 50 个 Token
|
||||
}
|
||||
|
||||
@Override
|
||||
protected List<String> splitText(String text) {
|
||||
if (StrUtil.isEmpty(text)) {
|
||||
return Collections.emptyList();
|
||||
}
|
||||
return splitTextRecursive(text);
|
||||
}
|
||||
|
||||
/**
|
||||
* 切分文本（递归策略）
|
||||
*
|
||||
* @param text 待切分文本
|
||||
* @return 切分后的文本块列表
|
||||
*/
|
||||
private List<String> splitTextRecursive(String text) {
|
||||
List<String> chunks = new ArrayList<>();
|
||||
|
||||
// 如果文本不超过限制，直接返回
|
||||
int textTokens = tokenEstimator.estimate(text);
|
||||
if (textTokens <= chunkSize) {
|
||||
chunks.add(text.trim());
|
||||
return chunks;
|
||||
}
|
||||
|
||||
// 尝试按不同分隔符切分
|
||||
List<String> splits = null;
|
||||
String usedSeparator = null;
|
||||
for (String separator : PARAGRAPH_SEPARATORS) {
|
||||
if (text.contains(separator)) {
|
||||
splits = Arrays.asList(text.split(Pattern.quote(separator)));
|
||||
usedSeparator = separator;
|
||||
break;
|
||||
}
|
||||
}
|
||||
|
||||
// 如果没有找到段落分隔符，按句子切分
|
||||
if (splits == null || splits.size() == 1) {
|
||||
splits = splitBySentences(text);
|
||||
usedSeparator = ""; // 句子切分不需要分隔符
|
||||
}
|
||||
|
||||
// 合并小片段
|
||||
chunks = mergeSplits(splits, usedSeparator);
|
||||
return chunks;
|
||||
}
|
||||
|
||||
/**
|
||||
* 按句子切分
|
||||
*
|
||||
* @param text 待切分文本
|
||||
* @return 句子列表
|
||||
*/
|
||||
private List<String> splitBySentences(String text) {
|
||||
// 使用正则表达式匹配句子结束位置
|
||||
List<String> sentences = new ArrayList<>();
|
||||
int lastEnd = 0;
|
||||
Matcher matcher = SENTENCE_END_PATTERN.matcher(text);
|
||||
while (matcher.find()) {
|
||||
String sentence = text.substring(lastEnd, matcher.end()).trim();
|
||||
if (StrUtil.isNotEmpty(sentence)) {
|
||||
sentences.add(sentence);
|
||||
}
|
||||
lastEnd = matcher.end();
|
||||
}
|
||||
|
||||
// 添加剩余部分
|
||||
if (lastEnd < text.length()) {
|
||||
String remaining = text.substring(lastEnd).trim();
|
||||
if (StrUtil.isNotEmpty(remaining)) {
|
||||
sentences.add(remaining);
|
||||
}
|
||||
}
|
||||
return sentences.isEmpty() ? Collections.singletonList(text) : sentences;
|
||||
}
|
||||
|
||||
/**
|
||||
* 合并切分后的小片段
|
||||
*
|
||||
* @param splits 切分后的片段列表
|
||||
* @param separator 片段间的分隔符
|
||||
* @return 合并后的文本块列表
|
||||
*/
|
||||
private List<String> mergeSplits(List<String> splits, String separator) {
|
||||
List<String> chunks = new ArrayList<>();
|
||||
List<String> currentChunks = new ArrayList<>();
|
||||
int currentLength = 0;
|
||||
|
||||
for (String split : splits) {
|
||||
if (StrUtil.isEmpty(split)) {
|
||||
continue;
|
||||
}
|
||||
int splitTokens = tokenEstimator.estimate(split);
|
||||
// 如果单个片段就超过限制，进一步递归切分
|
||||
if (splitTokens > chunkSize) {
|
||||
// 先保存当前累积的块
|
||||
if (!currentChunks.isEmpty()) {
|
||||
String chunkText = String.join(separator, currentChunks);
|
||||
chunks.add(chunkText.trim());
|
||||
currentChunks.clear();
|
||||
currentLength = 0;
|
||||
}
|
||||
// 递归切分大片段
|
||||
if (!separator.isEmpty()) {
|
||||
// 如果是段落分隔符，尝试按句子切分
|
||||
chunks.addAll(splitTextRecursive(split));
|
||||
} else {
|
||||
// 如果已经是句子级别，强制按字符切分
|
||||
chunks.addAll(forceSplitLongText(split));
|
||||
}
|
||||
continue;
|
||||
}
|
||||
// 计算加上分隔符的 Token 数
|
||||
int separatorTokens = StrUtil.isEmpty(separator) ? 0 : tokenEstimator.estimate(separator);
|
||||
// 如果加上这个片段会超过限制
|
||||
if (!currentChunks.isEmpty() && currentLength + splitTokens + separatorTokens > chunkSize) {
|
||||
// 保存当前块
|
||||
String chunkText = String.join(separator, currentChunks);
|
||||
chunks.add(chunkText.trim());
|
||||
|
||||
// 处理重叠：保留最后几个片段
|
||||
currentChunks = getOverlappingChunks(currentChunks, separator);
|
||||
currentLength = estimateTokens(currentChunks, separator);
|
||||
}
|
||||
// 添加当前片段
|
||||
currentChunks.add(split);
|
||||
currentLength += splitTokens + separatorTokens;
|
||||
}
|
||||
|
||||
// 添加最后一块
|
||||
if (!currentChunks.isEmpty()) {
|
||||
String chunkText = String.join(separator, currentChunks);
|
||||
chunks.add(chunkText.trim());
|
||||
}
|
||||
return chunks;
|
||||
}
|
||||
|
||||
/**
|
||||
* 获取重叠的片段（用于保持上下文）
|
||||
*
|
||||
* @param chunks 当前片段列表
|
||||
* @param separator 片段间的分隔符
|
||||
* @return 重叠的片段列表
|
||||
*/
|
||||
private List<String> getOverlappingChunks(List<String> chunks, String separator) {
|
||||
if (chunkOverlap == 0 || chunks.isEmpty()) {
|
||||
return new ArrayList<>();
|
||||
}
|
||||
|
||||
// 从后往前取片段，直到达到重叠大小
|
||||
List<String> overlapping = new ArrayList<>();
|
||||
int tokens = 0;
|
||||
for (int i = chunks.size() - 1; i >= 0; i--) {
|
||||
String chunk = chunks.get(i);
|
||||
int chunkTokens = tokenEstimator.estimate(chunk);
|
||||
if (tokens + chunkTokens > chunkOverlap) {
|
||||
break;
|
||||
}
|
||||
// 添加到重叠列表前端
|
||||
overlapping.add(0, chunk);
|
||||
tokens += chunkTokens + (StrUtil.isEmpty(separator) ? 0 : tokenEstimator.estimate(separator));
|
||||
}
|
||||
return overlapping;
|
||||
}
|
||||
|
||||
/**
|
||||
* 估算片段列表的总 Token 数
|
||||
*
|
||||
* @param chunks 片段列表
|
||||
* @param separator 片段间的分隔符
|
||||
* @return 总 Token 数
|
||||
*/
|
||||
private int estimateTokens(List<String> chunks, String separator) {
|
||||
int total = 0;
|
||||
for (int i = 0; i < chunks.size(); i++) {
|
||||
total += tokenEstimator.estimate(chunks.get(i));
|
||||
if (i < chunks.size() - 1 && StrUtil.isNotEmpty(separator)) {
|
||||
total += tokenEstimator.estimate(separator);
|
||||
}
|
||||
}
|
||||
return total;
|
||||
}
|
||||
|
||||
/**
|
||||
* 强制切分长文本（当语义切分失败时）
|
||||
*
|
||||
* @param text 待切分文本
|
||||
* @return 切分后的文本块列表
|
||||
*/
|
||||
private List<String> forceSplitLongText(String text) {
|
||||
List<String> chunks = new ArrayList<>();
|
||||
int charsPerChunk = (int) (chunkSize * 0.8); // 保守估计
|
||||
for (int i = 0; i < text.length(); i += charsPerChunk) {
|
||||
int end = Math.min(i + charsPerChunk, text.length());
|
||||
String chunk = text.substring(i, end);
|
||||
chunks.add(chunk.trim());
|
||||
}
|
||||
log.warn("文本过长，已强制按字符切分，可能影响语义完整性");
|
||||
return chunks;
|
||||
}
|
||||
|
||||
/**
|
||||
* 简单的 Token 估算器实现
|
||||
*/
|
||||
private static class SimpleTokenEstimator implements MarkdownQaSplitter.TokenEstimator {
|
||||
|
||||
@Override
|
||||
public int estimate(String text) {
|
||||
if (StrUtil.isEmpty(text)) {
|
||||
return 0;
|
||||
}
|
||||
|
||||
int chineseChars = 0;
|
||||
int englishWords = 0;
|
||||
// 简单统计中英文
|
||||
for (char c : text.toCharArray()) {
|
||||
if (c >= 0x4E00 && c <= 0x9FA5) {
|
||||
chineseChars++;
|
||||
}
|
||||
}
|
||||
// 英文单词估算
|
||||
String[] words = text.split("\\s+");
|
||||
for (String word : words) {
|
||||
if (word.matches(".*[a-zA-Z].*")) {
|
||||
englishWords++;
|
||||
}
|
||||
}
|
||||
return chineseChars + (int) (englishWords * 1.3);
|
||||
}
|
||||
}
|
||||
|
||||
}
|
||||
|
|
@ -1,10 +1,10 @@
|
|||
package cn.iocoder.yudao.module.ai.tool.method;
|
||||
|
||||
import jakarta.annotation.PostConstruct;
|
||||
import lombok.extern.slf4j.Slf4j;
|
||||
import org.springframework.ai.tool.annotation.Tool;
|
||||
import org.springframework.stereotype.Service;
|
||||
|
||||
import javax.annotation.PostConstruct;
|
||||
import java.util.Collections;
|
||||
import java.util.List;
|
||||
import java.util.Map;
|
||||
|
|
|
|||
|
|
@ -1,9 +1,7 @@
|
|||
package cn.iocoder.yudao.module.ai.util;
|
||||
|
||||
import cn.hutool.core.map.MapUtil;
|
||||
import cn.hutool.core.util.ObjUtil;
|
||||
import cn.hutool.core.util.StrUtil;
|
||||
import cn.iocoder.yudao.framework.common.util.collection.SetUtils;
|
||||
import cn.iocoder.yudao.framework.security.core.util.SecurityFrameworkUtils;
|
||||
import cn.iocoder.yudao.framework.tenant.core.context.TenantContextHolder;
|
||||
import cn.iocoder.yudao.module.ai.enums.model.AiPlatformEnum;
|
||||
|
|
@ -35,28 +33,6 @@ public class AiUtils {
|
|||
public static final String TOOL_CONTEXT_LOGIN_USER = "LOGIN_USER";
|
||||
public static final String TOOL_CONTEXT_TENANT_ID = "TENANT_ID";
|
||||
|
||||
/**
|
||||
* 通义千问支持多模态的模型
|
||||
*
|
||||
* @see <a href="https://bailian.console.aliyun.com/cn-beijing/?tab=model#/model-market/all?providers=qwen&capabilities=VU">模型广场</a>
|
||||
* @see <a href="https://help.aliyun.com/zh/model-studio/error-code#error-url">必须开启 withMultiModel 参数</a>
|
||||
*/
|
||||
public static final Set<String> TONG_YI_MULTI_MODELS = SetUtils.asSet(
|
||||
// qwen3.5 / 3.6 系列（统一多模态主干）
|
||||
"qwen3.6-plus", "qwen3.6-flash",
|
||||
"qwen3.5-plus", "qwen3.5-flash",
|
||||
// qwen-vl 视觉理解
|
||||
"qwen3-vl-plus", "qwen3-vl-flash",
|
||||
"qwen-vl-max", "qwen-vl-plus",
|
||||
"qwen2.5-vl-72b-instruct", "qwen2.5-vl-32b-instruct",
|
||||
"qwen2.5-vl-7b-instruct", "qwen2.5-vl-3b-instruct",
|
||||
// qvq 视觉推理
|
||||
"qvq-max", "qvq-plus",
|
||||
// qwen-omni 全模态
|
||||
"qwen3.5-omni-plus", "qwen3.5-omni-flash",
|
||||
"qwen3-omni-flash", "qwen-omni-turbo"
|
||||
);
|
||||
|
||||
public static ChatOptions buildChatOptions(AiPlatformEnum platform, String model, Double temperature, Integer maxTokens) {
|
||||
return buildChatOptions(platform, model, temperature, maxTokens, null, null);
|
||||
}
|
||||
|
|
@ -68,10 +44,9 @@ public class AiUtils {
|
|||
// noinspection EnhancedSwitchMigration
|
||||
switch (platform) {
|
||||
case TONG_YI:
|
||||
return DashScopeChatOptions.builder().model(model).temperature(temperature).maxToken(maxTokens)
|
||||
.enableThinking(true) // TODO 芋艿：默认都开启 thinking 模式，后续可以让用户配置
|
||||
.multiModel(TONG_YI_MULTI_MODELS.contains(model)) // 是否多模态模型
|
||||
.toolCallbacks(toolCallbacks).toolContext(toolContext).build();
|
||||
return DashScopeChatOptions.builder().withModel(model).withTemperature(temperature).withMaxToken(maxTokens)
|
||||
.withEnableThinking(true) // TODO 芋艿：默认都开启 thinking 模式，后续可以让用户配置
|
||||
.withToolCallbacks(toolCallbacks).withToolContext(toolContext).build();
|
||||
case YI_YAN:
|
||||
return QianFanChatOptions.builder().model(model).temperature(temperature).maxTokens(maxTokens).build();
|
||||
case DEEP_SEEK:
|
||||
|
|
@ -150,13 +125,10 @@ public class AiUtils {
|
|||
|| response.getResult().getOutput() == null) {
|
||||
return null;
|
||||
}
|
||||
AssistantMessage output = response.getResult().getOutput();
|
||||
// DeepSeek 通过专属 AssistantMessage 暴露 reasoningContent
|
||||
if (output instanceof DeepSeekAssistantMessage) {
|
||||
return ((DeepSeekAssistantMessage) output).getReasoningContent();
|
||||
if (response.getResult().getOutput() instanceof DeepSeekAssistantMessage) {
|
||||
return ((DeepSeekAssistantMessage) (response.getResult().getOutput())).getReasoningContent();
|
||||
}
|
||||
// 通义千问等通过 metadata 透传 reasoningContent
|
||||
return MapUtil.getStr(output.getMetadata(), "reasoningContent");
|
||||
return null;
|
||||
}
|
||||
|
||||
}
|
||||
|
|
@ -103,7 +103,7 @@ xxl:
|
|||
# Lock4j 配置项
|
||||
lock4j:
|
||||
acquire-timeout: 3000 # 获取分布式锁超时时间，默认为 3000 毫秒
|
||||
expire: 30000 # 分布式锁的超时时间，默认为 30000 毫秒
|
||||
expire: 30000 # 分布式锁的超时时间，默认为 30 毫秒
|
||||
|
||||
--- #################### 监控相关配置 ####################
|
||||
|
||||
|
|
@ -123,8 +123,6 @@ spring:
|
|||
client:
|
||||
instance:
|
||||
service-host-type: IP # 注册实例时，优先使用 IP [IP, HOST_NAME, CANONICAL_HOST_NAME]
|
||||
username: admin
|
||||
password: admin
|
||||
# Spring Boot Admin Server 服务端的相关配置
|
||||
context-path: /admin # 配置 Spring
|
||||
|
||||
|
|
|
|||
|
|
@ -98,7 +98,7 @@ xxl:
|
|||
# Lock4j 配置项
|
||||
lock4j:
|
||||
acquire-timeout: 3000 # 获取分布式锁超时时间，默认为 3000 毫秒
|
||||
expire: 30000 # 分布式锁的超时时间，默认为 30000 毫秒
|
||||
expire: 30000 # 分布式锁的超时时间，默认为 30 毫秒
|
||||
|
||||
--- #################### 监控相关配置 ####################
|
||||
|
||||
|
|
@ -118,8 +118,6 @@ spring:
|
|||
client:
|
||||
instance:
|
||||
service-host-type: IP # 注册实例时，优先使用 IP [IP, HOST_NAME, CANONICAL_HOST_NAME]
|
||||
username: admin
|
||||
password: admin
|
||||
|
||||
# 日志文件配置
|
||||
logging:
|
||||
|
|
|
|||
|
|
@ -34,15 +34,15 @@ public class TongYiChatModelTests {
|
|||
|
||||
private final DashScopeChatModel chatModel = DashScopeChatModel.builder()
|
||||
.dashScopeApi(DashScopeApi.builder()
|
||||
.apiKey("sk-cd9f39e99ea54840bd1888282325f55a") // https://bailian.console.aliyun.com/cn-beijing/?tab=model#/api-key 获取密钥
|
||||
.apiKey("sk-47aa124781be4bfb95244cc62f63f7d0")
|
||||
.build())
|
||||
.defaultOptions(DashScopeChatOptions.builder()
|
||||
.multiModel(true) // 注意：当使用 qwen3.6-plus 等多模态模型，需要设置为 true，可见 https://help.aliyun.com/zh/model-studio/error-code#error-url 链接
|
||||
.model("qwen3.6-plus") // 模型
|
||||
// .model("deepseek-r1") // 模型（deepseek-r1）
|
||||
// .model("deepseek-v3") // 模型（deepseek-v3）
|
||||
// .model("deepseek-r1-distill-qwen-1.5b") // 模型（deepseek-r1-distill-qwen-1.5b）
|
||||
// .enableThinking(true)
|
||||
// .withModel("qwen1.5-72b-chat") // 模型
|
||||
.withModel("qwen3-235b-a22b-thinking-2507") // 模型
|
||||
// .withModel("deepseek-r1") // 模型（deepseek-r1）
|
||||
// .withModel("deepseek-v3") // 模型（deepseek-v3）
|
||||
// .withModel("deepseek-r1-distill-qwen-1.5b") // 模型（deepseek-r1-distill-qwen-1.5b）
|
||||
// .withEnableThinking(true)
|
||||
.build())
|
||||
.build();
|
||||
|
||||
|
|
@ -85,9 +85,9 @@ public class TongYiChatModelTests {
|
|||
List<Message> messages = new ArrayList<>();
|
||||
messages.add(new UserMessage("详细分析下，如何设计一个电商系统？"));
|
||||
DashScopeChatOptions options = DashScopeChatOptions.builder()
|
||||
.model("qwen3.6-plus").multiModel(true)
|
||||
.withModel("qwen3-235b-a22b-thinking-2507")
|
||||
// .withModel("qwen-max-2025-01-25")
|
||||
.enableThinking(true) // 必须设置，否则会报错
|
||||
.withEnableThinking(true) // 必须设置，否则会报错
|
||||
.build();
|
||||
|
||||
// 调用
|
||||
|
|
@ -112,8 +112,8 @@ public class TongYiChatModelTests {
|
|||
Document document01 = new Document("abc");
|
||||
Document document02 = new Document("sapring");
|
||||
RerankOptions options = DashScopeRerankOptions.builder()
|
||||
.topN(1)
|
||||
.model("gte-rerank-v2")
|
||||
.withTopN(1)
|
||||
.withModel("gte-rerank-v2")
|
||||
.build();
|
||||
RerankRequest rerankRequest = new RerankRequest(
|
||||
query,
|
||||
|
|
|
|||
|
|
@ -12,34 +12,23 @@ import org.springframework.ai.image.ImageResponse;
|
|||
/**
|
||||
* {@link DashScopeImageModel} 集成测试类
|
||||
*
|
||||
* TODO @芋艿：注：spring-ai-alibaba-dashscope（1.1.2.2）的 {@code DashScopeImageApi#resolveImagePath} 未给 {@code wan2.7-image} 加路由分支，
|
||||
* 会落到默认的 {@code text2image/image-synthesis} 异步端点 + 旧版 {@code prompt} 入参，
|
||||
* 而该模型实际要求 {@code multimodal-generation/generation} 同步端点 + {@code messages} 入参，
|
||||
* 端点、异步头、入参结构全部对不上，所以走 SDK 直接调用必失败。
|
||||
*
|
||||
* 临时方案：改用 SDK 已支持的 {@code wan2.6-image}（异步）或 {@code qwen-image}（同步）；
|
||||
* 或在项目内同包同名覆盖 {@code DashScopeImageApi}，把 {@code wan2.7*} 也路由到 {@code wan2.6-image} 那条 {@code image-generation/generation} 异步分支。
|
||||
*
|
||||
* @author fansili
|
||||
*/
|
||||
public class TongYiImagesModelTest {
|
||||
|
||||
private final DashScopeImageModel imageModel = DashScopeImageModel.builder()
|
||||
.dashScopeApi(DashScopeImageApi.builder()
|
||||
.apiKey("sk-cd9f39e99ea54840bd1888282325f55a") // https://bailian.console.aliyun.com/cn-beijing/?tab=model#/api-key 获取密钥
|
||||
.apiKey("sk-47aa124781be4bfb95244cc62f63f7d0")
|
||||
.build())
|
||||
.build();
|
||||
|
||||
// TODO @芋艿：
|
||||
@Test
|
||||
@Disabled
|
||||
public void imageCallTest() {
|
||||
// 准备参数
|
||||
ImageOptions options = DashScopeImageOptions.builder()
|
||||
.model("wan2.7-image")
|
||||
// .withSize("2k")
|
||||
.height(768).width(768)
|
||||
.n(1)
|
||||
.withModel("wanx-v1")
|
||||
.withHeight(256).withWidth(256)
|
||||
.build();
|
||||
ImagePrompt prompt = new ImagePrompt("中国长城!", options);
|
||||
|
||||
|
|
|
|||
|
|
@ -1,38 +0,0 @@
|
|||
package cn.iocoder.yudao.module.bpm.enums.definition;
|
||||
|
||||
import lombok.Getter;
|
||||
import lombok.RequiredArgsConstructor;
|
||||
|
||||
/**
|
||||
* BPM 条件表达式操作符枚举
|
||||
*
|
||||
* @author Lesan
|
||||
*/
|
||||
@RequiredArgsConstructor
|
||||
@Getter
|
||||
public enum BpmConditionOpCodeEnum {
|
||||
|
||||
EQ("==", "等于", " var:getOrDefault(%s, null) == %s "),
|
||||
NE("!=", "不等于", " var:getOrDefault(%s, null) != %s "),
|
||||
GT(">", "大于", " var:getOrDefault(%s, null) > %s "),
|
||||
GE(">=", "大于等于", " var:getOrDefault(%s, null) >= %s "),
|
||||
LT("<", "小于", " var:getOrDefault(%s, null) < %s "),
|
||||
LE("<=", "小于等于", " var:getOrDefault(%s, null) <= %s "),
|
||||
|
||||
CONTAINS("contain", "包含", " var:contains(%s, %s) "),
|
||||
NOT_CONTAINS("!contain", "不包含", " !var:contains(%s, %s) ");
|
||||
|
||||
private final String code;
|
||||
private final String des;
|
||||
private final String symbol;
|
||||
|
||||
public static BpmConditionOpCodeEnum fromCode(String code) {
|
||||
for (BpmConditionOpCodeEnum op : BpmConditionOpCodeEnum.values()) {
|
||||
if (op.code.equalsIgnoreCase(code)) {
|
||||
return op;
|
||||
}
|
||||
}
|
||||
throw new IllegalArgumentException("未知操作符: " + code);
|
||||
}
|
||||
|
||||
}
|
||||
|
|
@ -2,8 +2,6 @@ package cn.iocoder.yudao.module.bpm.controller.admin.definition.vo.form;
|
|||
|
||||
import lombok.Data;
|
||||
|
||||
import java.util.List;
|
||||
|
||||
/**
|
||||
* 流程表单字段 VO
|
||||
*/
|
||||
|
|
@ -22,9 +20,5 @@ public class BpmFormFieldVO {
|
|||
* 字段标题
|
||||
*/
|
||||
private String title;
|
||||
/**
|
||||
* 子表单字段（处理布局组件）
|
||||
*/
|
||||
private List<BpmFormFieldVO> children;
|
||||
|
||||
}
|
||||
|
|
|
|||
|
|
@ -66,15 +66,15 @@ public class BpmProcessInstanceCopyController {
|
|||
Map<String, HistoricProcessInstance> processInstanceMap = processInstanceService.getHistoricProcessInstanceMap(
|
||||
convertSet(pageResult.getList(), BpmProcessInstanceCopyDO::getProcessInstanceId));
|
||||
Map<Long, AdminUserRespDTO> userMap = adminUserApi.getUserMap(convertListByFlatMap(pageResult.getList(),
|
||||
copy -> Stream.of(copy.getStartUserId(), copy.getUserId())));
|
||||
copy -> Stream.of(copy.getStartUserId(), Long.parseLong(copy.getCreator()))));
|
||||
Map<String, BpmProcessDefinitionInfoDO> processDefinitionInfoMap = processDefinitionService.getProcessDefinitionInfoMap(
|
||||
convertSet(pageResult.getList(), BpmProcessInstanceCopyDO::getProcessDefinitionId));
|
||||
return success(convertPage(pageResult, copy -> {
|
||||
BpmProcessInstanceCopyRespVO copyVO = BeanUtils.toBean(copy, BpmProcessInstanceCopyRespVO.class);
|
||||
MapUtils.findAndThen(userMap, copy.getUserId(),
|
||||
user -> copyVO.setCreateUser(BeanUtils.toBean(user, UserSimpleBaseVO.class)));
|
||||
MapUtils.findAndThen(userMap, copy.getStartUserId(),
|
||||
MapUtils.findAndThen(userMap, Long.valueOf(copy.getCreator()),
|
||||
user -> copyVO.setStartUser(BeanUtils.toBean(user, UserSimpleBaseVO.class)));
|
||||
MapUtils.findAndThen(userMap, copy.getStartUserId(),
|
||||
user -> copyVO.setCreateUser(BeanUtils.toBean(user, UserSimpleBaseVO.class)));
|
||||
MapUtils.findAndThen(processInstanceMap, copyVO.getProcessInstanceId(),
|
||||
processInstance -> {
|
||||
copyVO.setSummary(FlowableUtils.getSummary(
|
||||
|
|
|
|||
|
|
@ -100,7 +100,7 @@ public class BpmTaskController {
|
|||
|
||||
@GetMapping("manager-page")
|
||||
@Operation(summary = "获取全部任务的分页", description = "用于【流程任务】菜单")
|
||||
@PreAuthorize("@ss.hasPermission('bpm:task:manager-query')")
|
||||
@PreAuthorize("@ss.hasPermission('bpm:task:mananger-query')")
|
||||
public CommonResult<PageResult<BpmTaskRespVO>> getTaskManagerPage(@Valid BpmTaskPageReqVO pageVO) {
|
||||
PageResult<HistoricTaskInstance> pageResult = taskService.getTaskPage(getLoginUserId(), pageVO);
|
||||
if (CollUtil.isEmpty(pageResult.getList())) {
|
||||
|
|
|
|||
|
|
@ -42,7 +42,7 @@ public class BpmOALeaveDO extends BaseDO {
|
|||
/**
|
||||
* 请假类型
|
||||
*/
|
||||
private Integer type;
|
||||
private String type;
|
||||
/**
|
||||
* 原因
|
||||
*/
|
||||
|
|
|
|||
|
|
@ -15,7 +15,7 @@ import org.springframework.boot.autoconfigure.condition.ConditionalOnMissingBean
|
|||
import org.springframework.context.ApplicationEventPublisher;
|
||||
import org.springframework.context.annotation.Bean;
|
||||
import org.springframework.context.annotation.Configuration;
|
||||
import org.springframework.core.task.AsyncTaskExecutor;
|
||||
import org.springframework.core.task.AsyncListenableTaskExecutor;
|
||||
import org.springframework.scheduling.concurrent.ThreadPoolTaskExecutor;
|
||||
|
||||
import java.util.List;
|
||||
|
|
@ -30,12 +30,12 @@ public class BpmFlowableConfiguration {
|
|||
|
||||
/**
|
||||
* 参考 {@link org.flowable.spring.boot.FlowableJobConfiguration} 类，创建对应的 AsyncListenableTaskExecutor Bean
|
||||
* <p>
|
||||
*
|
||||
* 如果不创建，会导致项目启动时，Flowable 报错的问题
|
||||
*/
|
||||
@Bean(name = "applicationTaskExecutor")
|
||||
@ConditionalOnMissingBean(name = "applicationTaskExecutor")
|
||||
public AsyncTaskExecutor taskExecutor() {
|
||||
public AsyncListenableTaskExecutor taskExecutor() {
|
||||
ThreadPoolTaskExecutor executor = new ThreadPoolTaskExecutor();
|
||||
executor.setCorePoolSize(8);
|
||||
executor.setMaxPoolSize(8);
|
||||
|
|
|
|||
|
|
@ -14,7 +14,6 @@ import org.flowable.bpmn.model.UserTask;
|
|||
import org.flowable.engine.delegate.DelegateExecution;
|
||||
import org.flowable.engine.impl.bpmn.behavior.AbstractBpmnActivityBehavior;
|
||||
import org.flowable.engine.impl.bpmn.behavior.ParallelMultiInstanceBehavior;
|
||||
import org.flowable.common.engine.api.delegate.Expression;
|
||||
|
||||
import java.util.List;
|
||||
import java.util.Set;
|
||||
|
|
@ -35,12 +34,6 @@ public class BpmParallelMultiInstanceBehavior extends ParallelMultiInstanceBehav
|
|||
public BpmParallelMultiInstanceBehavior(Activity activity,
|
||||
AbstractBpmnActivityBehavior innerActivityBehavior) {
|
||||
super(activity, innerActivityBehavior);
|
||||
// 关联 Pull Request：https://gitee.com/zhijiantianya/ruoyi-vue-pro/pulls/1483
|
||||
// 在解析/构造阶段基于 activityId 初始化与 activity 绑定且不变的字段，避免在运行期修改 Behavior 实例状态
|
||||
super.collectionExpression = null; // collectionExpression 和 collectionVariable 是互斥的
|
||||
super.collectionVariable = FlowableUtils.formatExecutionCollectionVariable(activity.getId());
|
||||
// 从 execution.getVariable() 读取当前所有任务处理的人的 key
|
||||
super.collectionElementVariable = FlowableUtils.formatExecutionCollectionElementVariable(activity.getId());
|
||||
}
|
||||
|
||||
/**
|
||||
|
|
@ -57,7 +50,14 @@ public class BpmParallelMultiInstanceBehavior extends ParallelMultiInstanceBehav
|
|||
protected int resolveNrOfInstances(DelegateExecution execution) {
|
||||
// 情况一：UserTask 节点
|
||||
if (execution.getCurrentFlowElement() instanceof UserTask) {
|
||||
// 获取任务的所有处理人
|
||||
// 第一步，设置 collectionVariable 和 CollectionVariable
|
||||
// 从 execution.getVariable() 读取所有任务处理人的 key
|
||||
super.collectionExpression = null; // collectionExpression 和 collectionVariable 是互斥的
|
||||
super.collectionVariable = FlowableUtils.formatExecutionCollectionVariable(execution.getCurrentActivityId());
|
||||
// 从 execution.getVariable() 读取当前所有任务处理的人的 key
|
||||
super.collectionElementVariable = FlowableUtils.formatExecutionCollectionElementVariable(execution.getCurrentActivityId());
|
||||
|
||||
// 第二步，获取任务的所有处理人
|
||||
@SuppressWarnings("unchecked")
|
||||
Set<Long> assigneeUserIds = (Set<Long>) execution.getVariable(super.collectionVariable, Set.class);
|
||||
if (assigneeUserIds == null) {
|
||||
|
|
@ -88,21 +88,4 @@ public class BpmParallelMultiInstanceBehavior extends ParallelMultiInstanceBehav
|
|||
return super.resolveNrOfInstances(execution);
|
||||
}
|
||||
|
||||
// ========== 屏蔽解析器覆写 ==========
|
||||
|
||||
@Override
|
||||
public void setCollectionExpression(Expression collectionExpression) {
|
||||
// 保持自定义变量名，忽略解析器写入的 collection 表达式
|
||||
}
|
||||
|
||||
@Override
|
||||
public void setCollectionVariable(String collectionVariable) {
|
||||
// 保持自定义变量名，忽略解析器写入的 collection 变量名
|
||||
}
|
||||
|
||||
@Override
|
||||
public void setCollectionElementVariable(String collectionElementVariable) {
|
||||
// 保持自定义变量名，忽略解析器写入的单元素变量名
|
||||
}
|
||||
|
||||
}
|
||||
|
|
|
|||
|
|
@ -8,13 +8,11 @@ import cn.iocoder.yudao.module.bpm.framework.flowable.core.util.BpmnModelUtils;
|
|||
import cn.iocoder.yudao.module.bpm.framework.flowable.core.util.FlowableUtils;
|
||||
import lombok.Setter;
|
||||
import org.flowable.bpmn.model.*;
|
||||
import org.flowable.common.engine.api.delegate.Expression;
|
||||
import org.flowable.engine.delegate.DelegateExecution;
|
||||
import org.flowable.engine.impl.bpmn.behavior.AbstractBpmnActivityBehavior;
|
||||
import org.flowable.engine.impl.bpmn.behavior.SequentialMultiInstanceBehavior;
|
||||
import org.flowable.engine.impl.persistence.entity.ExecutionEntity;
|
||||
|
||||
import java.util.LinkedHashSet;
|
||||
import java.util.List;
|
||||
import java.util.Set;
|
||||
|
||||
|
|
@ -32,12 +30,6 @@ public class BpmSequentialMultiInstanceBehavior extends SequentialMultiInstanceB
|
|||
|
||||
public BpmSequentialMultiInstanceBehavior(Activity activity, AbstractBpmnActivityBehavior innerActivityBehavior) {
|
||||
super(activity, innerActivityBehavior);
|
||||
// 关联 Pull Request：https://gitee.com/zhijiantianya/ruoyi-vue-pro/pulls/1483
|
||||
// 在解析/构造阶段基于 activityId 初始化与 activity 绑定且不变的字段，避免在运行期修改 Behavior 实例状态
|
||||
super.collectionExpression = null; // collectionExpression 和 collectionVariable 是互斥的
|
||||
super.collectionVariable = FlowableUtils.formatExecutionCollectionVariable(activity.getId());
|
||||
// 从 execution.getVariable() 读取当前所有任务处理的人的 key
|
||||
super.collectionElementVariable = FlowableUtils.formatExecutionCollectionElementVariable(activity.getId());
|
||||
}
|
||||
|
||||
/**
|
||||
|
|
@ -49,12 +41,19 @@ public class BpmSequentialMultiInstanceBehavior extends SequentialMultiInstanceB
|
|||
protected int resolveNrOfInstances(DelegateExecution execution) {
|
||||
// 情况一：UserTask 节点
|
||||
if (execution.getCurrentFlowElement() instanceof UserTask) {
|
||||
// 获取任务的所有处理人
|
||||
// 第一步，设置 collectionVariable 和 CollectionVariable
|
||||
// 从 execution.getVariable() 读取所有任务处理人的 key
|
||||
super.collectionExpression = null; // collectionExpression 和 collectionVariable 是互斥的
|
||||
super.collectionVariable = FlowableUtils.formatExecutionCollectionVariable(execution.getCurrentActivityId());
|
||||
// 从 execution.getVariable() 读取当前所有任务处理的人的 key
|
||||
super.collectionElementVariable = FlowableUtils.formatExecutionCollectionElementVariable(execution.getCurrentActivityId());
|
||||
|
||||
// 第二步，获取任务的所有处理人
|
||||
// 不使用 execution.getVariable 原因：目前依次审批任务回退后 collectionVariable 变量没有清理， 如果重新进入该任务不会重新分配审批人
|
||||
@SuppressWarnings("unchecked")
|
||||
Set<Long> assigneeUserIds = (Set<Long>) execution.getVariableLocal(super.collectionVariable, Set.class);
|
||||
if (assigneeUserIds == null) {
|
||||
assigneeUserIds = new LinkedHashSet<>(taskCandidateInvoker.calculateUsersByTask(execution));
|
||||
assigneeUserIds = taskCandidateInvoker.calculateUsersByTask(execution);
|
||||
if (CollUtil.isEmpty(assigneeUserIds)) {
|
||||
// 特殊：如果没有处理人的情况下，至少有一个 null 空元素，避免自动通过！
|
||||
// 这样，保证在 BpmUserTaskActivityBehavior 至少创建出一个 Task 任务
|
||||
|
|
@ -89,24 +88,11 @@ public class BpmSequentialMultiInstanceBehavior extends SequentialMultiInstanceB
|
|||
super.executeOriginalBehavior(execution, multiInstanceRootExecution, loopCounter);
|
||||
return;
|
||||
}
|
||||
// 参见 https://gitee.com/zhijiantianya/yudao-cloud/issues/IC239F
|
||||
super.collectionExpression = null;
|
||||
super.collectionVariable = FlowableUtils.formatExecutionCollectionVariable(execution.getCurrentActivityId());
|
||||
super.collectionElementVariable = FlowableUtils.formatExecutionCollectionElementVariable(execution.getCurrentActivityId());
|
||||
super.executeOriginalBehavior(execution, multiInstanceRootExecution, loopCounter);
|
||||
}
|
||||
|
||||
// ========== 屏蔽解析器覆写 ==========
|
||||
|
||||
@Override
|
||||
public void setCollectionExpression(Expression collectionExpression) {
|
||||
// 保持自定义变量名，忽略解析器写入的 collection 表达式
|
||||
}
|
||||
|
||||
@Override
|
||||
public void setCollectionVariable(String collectionVariable) {
|
||||
// 保持自定义变量名，忽略解析器写入的 collection 变量名
|
||||
}
|
||||
|
||||
@Override
|
||||
public void setCollectionElementVariable(String collectionElementVariable) {
|
||||
// 保持自定义变量名，忽略解析器写入的单元素变量名
|
||||
}
|
||||
|
||||
}
|
||||
|
|
|
|||
|
|
@ -125,7 +125,6 @@ public class BpmTaskCandidateInvoker {
|
|||
});
|
||||
}
|
||||
|
||||
@DataPermission(enable = false) // 忽略数据权限，避免因为过滤，导致找不到候选人
|
||||
public Set<Long> calculateUsersByActivity(BpmnModel bpmnModel, String activityId,
|
||||
Long startUserId, String processDefinitionId, Map<String, Object> processVariables) {
|
||||
// 如果是 CallActivity 子流程，不进行计算候选人
|
||||
|
|
|
|||
|
|
@ -7,10 +7,10 @@ import org.springframework.stereotype.Component;
|
|||
/**
|
||||
* 根据流程变量 variable 的类型，转换参数的值
|
||||
*
|
||||
* @deprecated 已无调用方
|
||||
* 目前用于 ConditionNodeConvert 的 buildConditionExpression 方法中
|
||||
*
|
||||
* @author jason
|
||||
*/
|
||||
@Deprecated // TODO @芋艿：兼容老版本，预计 27 年删除；
|
||||
@Component
|
||||
public class VariableConvertByTypeExpressionFunction extends AbstractFlowableVariableExpressionFunction {
|
||||
|
||||
|
|
|
|||
|
|
@ -2,7 +2,6 @@ package cn.iocoder.yudao.module.bpm.framework.flowable.core.listener;
|
|||
|
||||
import cn.hutool.core.collection.CollUtil;
|
||||
import cn.iocoder.yudao.module.bpm.framework.flowable.core.candidate.BpmTaskCandidateInvoker;
|
||||
import cn.iocoder.yudao.module.bpm.framework.flowable.core.util.FlowableUtils;
|
||||
import cn.iocoder.yudao.module.bpm.service.task.BpmProcessInstanceCopyService;
|
||||
import org.flowable.bpmn.model.FlowElement;
|
||||
import org.flowable.engine.delegate.DelegateExecution;
|
||||
|
|
@ -41,9 +40,8 @@ public class BpmCopyTaskDelegate implements JavaDelegate {
|
|||
}
|
||||
// 2. 执行抄送
|
||||
FlowElement currentFlowElement = execution.getCurrentFlowElement();
|
||||
FlowableUtils.execute(execution.getTenantId(), () ->
|
||||
processInstanceCopyService.createProcessInstanceCopy(userIds, null, execution.getProcessInstanceId(),
|
||||
currentFlowElement.getId(), currentFlowElement.getName(), null));
|
||||
processInstanceCopyService.createProcessInstanceCopy(userIds, null, execution.getProcessInstanceId(),
|
||||
currentFlowElement.getId(), currentFlowElement.getName(), null);
|
||||
}
|
||||
|
||||
}
|
||||
|
|
|
|||
|
|
@ -2,7 +2,6 @@ package cn.iocoder.yudao.module.bpm.framework.flowable.core.util;
|
|||
|
||||
import cn.hutool.core.map.MapUtil;
|
||||
import cn.hutool.core.util.ObjectUtil;
|
||||
import cn.hutool.core.util.StrUtil;
|
||||
import cn.hutool.extra.spring.SpringUtil;
|
||||
import cn.iocoder.yudao.framework.common.core.KeyValue;
|
||||
import cn.iocoder.yudao.framework.common.util.json.JsonUtils;
|
||||
|
|
@ -248,7 +247,9 @@ public class FlowableUtils {
|
|||
Map<String, BpmFormFieldVO> formFieldsMap = new HashMap<>();
|
||||
processDefinitionInfo.getFormFields().forEach(formFieldStr -> {
|
||||
BpmFormFieldVO formField = JsonUtils.parseObject(formFieldStr, BpmFormFieldVO.class);
|
||||
parseFormField(formField, formFieldsMap);
|
||||
if (formField != null) {
|
||||
formFieldsMap.put(formField.getField(), formField);
|
||||
}
|
||||
});
|
||||
|
||||
// 情况一：当自定义了摘要
|
||||
|
|
@ -272,26 +273,6 @@ public class FlowableUtils {
|
|||
.collect(Collectors.toList());
|
||||
}
|
||||
|
||||
/**
|
||||
* 递归解析表单字段
|
||||
*/
|
||||
private static void parseFormField(BpmFormFieldVO formField, Map<String, BpmFormFieldVO> formFieldsMap) {
|
||||
if (formField == null) {
|
||||
return;
|
||||
}
|
||||
// 如果存在 children -> 说明是布局组件
|
||||
if (formField.getChildren() != null && !formField.getChildren().isEmpty()) {
|
||||
for (BpmFormFieldVO child : formField.getChildren()) {
|
||||
parseFormField(child, formFieldsMap);
|
||||
}
|
||||
return;
|
||||
}
|
||||
// 真实字段才加入 map
|
||||
if (StrUtil.isNotBlank(formField.getField())) {
|
||||
formFieldsMap.put(formField.getField(), formField);
|
||||
}
|
||||
}
|
||||
|
||||
// ========== Task 相关的工具方法 ==========
|
||||
|
||||
/**
|
||||
|
|
|
|||
|
|
@ -707,9 +707,10 @@ public class SimpleModelUtils {
|
|||
List<String> list = convertList(item.getRules(), (rule) -> {
|
||||
String rightSide = NumberUtil.isNumber(rule.getRightSide()) ? rule.getRightSide()
|
||||
: "\"" + rule.getRightSide() + "\""; // 如果非数值类型加引号
|
||||
return String.format(BpmConditionOpCodeEnum.fromCode(rule.getOpCode()).getSymbol(),
|
||||
return String.format(" vars:getOrDefault(%s, null) %s var:convertByType(%s,%s) ",
|
||||
rule.getLeftSide(), // 左侧：读取变量
|
||||
rightSide); // 右侧：取值变量
|
||||
rule.getOpCode(), // 中间：操作符，比较
|
||||
rule.getLeftSide(), rightSide); // 右侧：转换变量，VariableConvertByTypeExpressionFunction
|
||||
});
|
||||
// 构造条件组的表达式
|
||||
Boolean and = item.getAnd();
|
||||
|
|
|
|||
|
|
@ -0,0 +1,46 @@
|
|||
package cn.iocoder.yudao.module.bpm.service.definition.dto;
|
||||
|
||||
import cn.iocoder.yudao.module.bpm.enums.definition.BpmModelFormTypeEnum;
|
||||
import lombok.Data;
|
||||
|
||||
/**
|
||||
* BPM 流程 MetaInfo Response DTO
|
||||
* 主要用于 { Model#setMetaInfo(String)} 的存储
|
||||
*
|
||||
* 最终，它的字段和 {@link cn.iocoder.yudao.module.bpm.dal.dataobject.definition.BpmProcessDefinitionInfoDO} 是一致的
|
||||
*
|
||||
* @author 芋道源码
|
||||
*/
|
||||
@Data
|
||||
public class BpmModelMetaInfoRespDTO {
|
||||
|
||||
/**
|
||||
* 流程图标
|
||||
*/
|
||||
private String icon;
|
||||
/**
|
||||
* 流程描述
|
||||
*/
|
||||
private String description;
|
||||
|
||||
/**
|
||||
* 表单类型
|
||||
*/
|
||||
private Integer formType;
|
||||
/**
|
||||
* 表单编号
|
||||
* 在表单类型为 {@link BpmModelFormTypeEnum#NORMAL} 时
|
||||
*/
|
||||
private Long formId;
|
||||
/**
|
||||
* 自定义表单的提交路径，使用 Vue 的路由地址
|
||||
* 在表单类型为 {@link BpmModelFormTypeEnum#CUSTOM} 时
|
||||
*/
|
||||
private String formCustomCreatePath;
|
||||
/**
|
||||
* 自定义表单的查看路径，使用 Vue 的路由地址
|
||||
* 在表单类型为 {@link BpmModelFormTypeEnum#CUSTOM} 时
|
||||
*/
|
||||
private String formCustomViewPath;
|
||||
|
||||
}
|
||||
|
|
@ -116,7 +116,6 @@ public class BpmTaskServiceImpl implements BpmTaskService {
|
|||
.taskAssignee(String.valueOf(userId)) // 分配给自己
|
||||
.active()
|
||||
.includeProcessVariables()
|
||||
.taskTenantId(FlowableUtils.getTenantId())
|
||||
.orderByTaskCreateTime().desc(); // 创建时间倒序
|
||||
if (StrUtil.isNotBlank(pageVO.getName())) {
|
||||
taskQuery.taskNameLike("%" + pageVO.getName() + "%");
|
||||
|
|
@ -923,12 +922,16 @@ public class BpmTaskServiceImpl implements BpmTaskService {
|
|||
List<UserTask> returnUserTaskList = BpmnModelUtils.iteratorFindChildUserTasks(targetElement, runTaskKeyList, null, null);
|
||||
List<String> returnTaskKeyList = convertList(returnUserTaskList, UserTask::getId);
|
||||
|
||||
List<String> runExecutionIds = new ArrayList<>();
|
||||
// 2. 给当前要被退回的 task 数组，设置退回意见
|
||||
taskList.forEach(task -> {
|
||||
// 需要排除掉，不需要设置退回意见的任务
|
||||
if (!returnTaskKeyList.contains(task.getTaskDefinitionKey())) {
|
||||
return;
|
||||
}
|
||||
if (task.getExecutionId() != null) {
|
||||
runExecutionIds.add(task.getExecutionId());
|
||||
}
|
||||
|
||||
// 判断是否分配给自己任务，因为会签任务，一个节点会有多个任务
|
||||
if (isAssignUserTask(userId, task)) { // 情况一：自己的任务，进行 RETURN 标记
|
||||
|
|
@ -952,7 +955,7 @@ public class BpmTaskServiceImpl implements BpmTaskService {
|
|||
// 相关 issue：https://github.com/YunaiV/ruoyi-vue-pro/issues/1018
|
||||
runtimeService.createChangeActivityStateBuilder()
|
||||
.processInstanceId(currentTask.getProcessInstanceId())
|
||||
.moveActivityIdsToSingleActivityId(returnTaskKeyList, reqVO.getTargetTaskDefinitionKey())
|
||||
.moveActivityIdsToSingleActivityId(runExecutionIds, reqVO.getTargetTaskDefinitionKey())
|
||||
// 设置需要预测的任务 ids 的流程变量，用于辅助预测
|
||||
.processVariable(BpmnVariableConstants.PROCESS_INSTANCE_VARIABLE_NEED_SIMULATE_TASK_IDS, needSimulateTaskDefinitionKeys)
|
||||
// 设置流程变量（local）节点退回标记, 用于退回到节点，不执行 BpmUserTaskAssignStartUserHandlerTypeEnum 策略，导致自动通过
|
||||
|
|
@ -1464,7 +1467,7 @@ public class BpmTaskServiceImpl implements BpmTaskService {
|
|||
return;
|
||||
}
|
||||
|
||||
// 自动去重，通过自动审批的方式
|
||||
// 自动去重，通过自动审批的方式 TODO @芋艿 驳回的情况得考虑一下；@lesan：驳回后，又自动审批么？
|
||||
BpmProcessDefinitionInfoDO processDefinitionInfo = bpmProcessDefinitionService.getProcessDefinitionInfo(task.getProcessDefinitionId());
|
||||
if (processDefinitionInfo == null) {
|
||||
log.error("[processTaskAssigned][taskId({}) 没有找到流程定义({})]", task.getId(), task.getProcessDefinitionId());
|
||||
|
|
|
|||
|
|
@ -87,7 +87,7 @@ xxl:
|
|||
# Lock4j 配置项
|
||||
lock4j:
|
||||
acquire-timeout: 3000 # 获取分布式锁超时时间，默认为 3000 毫秒
|
||||
expire: 30000 # 分布式锁的超时时间，默认为 30000 毫秒
|
||||
expire: 30000 # 分布式锁的超时时间，默认为 30 毫秒
|
||||
|
||||
--- #################### 监控相关配置 ####################
|
||||
|
||||
|
|
@ -107,8 +107,6 @@ spring:
|
|||
client:
|
||||
instance:
|
||||
service-host-type: IP # 注册实例时，优先使用 IP [IP, HOST_NAME, CANONICAL_HOST_NAME]
|
||||
username: admin
|
||||
password: admin
|
||||
|
||||
--- #################### 芋道相关配置 ####################
|
||||
|
||||
|
|
|
|||
|
|
@ -58,7 +58,7 @@ spring:
|
|||
primary: master
|
||||
datasource:
|
||||
master:
|
||||
url: jdbc:mysql://127.0.0.1:3306/ruoyi-vue-pro-jdk8-new?useSSL=false&serverTimezone=Asia/Shanghai&allowPublicKeyRetrieval=true&nullCatalogMeansCurrent=true&rewriteBatchedStatements=true # MySQL Connector/J 8.X 连接的示例
|
||||
url: jdbc:mysql://127.0.0.1:3306/ruoyi-vue-pro?useSSL=false&serverTimezone=Asia/Shanghai&allowPublicKeyRetrieval=true&nullCatalogMeansCurrent=true&rewriteBatchedStatements=true # MySQL Connector/J 8.X 连接的示例
|
||||
# url: jdbc:mysql://127.0.0.1:3306/ruoyi-vue-pro?useSSL=true&allowPublicKeyRetrieval=true&useUnicode=true&characterEncoding=UTF-8&serverTimezone=Asia/Shanghai&rewriteBatchedStatements=true # MySQL Connector/J 5.X 连接的示例
|
||||
# url: jdbc:postgresql://127.0.0.1:5432/ruoyi-vue-pro # PostgreSQL 连接的示例
|
||||
# url: jdbc:oracle:thin:@127.0.0.1:1521:xe # Oracle 连接的示例
|
||||
|
|
@ -72,7 +72,7 @@ spring:
|
|||
# password: SYSDBA # DM 连接的示例
|
||||
slave: # 模拟从库，可根据自己需要修改
|
||||
lazy: true # 开启懒加载，保证启动速度
|
||||
url: jdbc:mysql://127.0.0.1:3306/ruoyi-vue-pro-jdk8-new?useSSL=false&serverTimezone=Asia/Shanghai&allowPublicKeyRetrieval=true&nullCatalogMeansCurrent=true&rewriteBatchedStatements=true
|
||||
url: jdbc:mysql://127.0.0.1:3306/ruoyi-vue-pro?useSSL=false&serverTimezone=Asia/Shanghai&allowPublicKeyRetrieval=true&nullCatalogMeansCurrent=true&rewriteBatchedStatements=true
|
||||
username: root
|
||||
password: 123456
|
||||
|
||||
|
|
@ -98,7 +98,7 @@ xxl:
|
|||
# Lock4j 配置项
|
||||
lock4j:
|
||||
acquire-timeout: 3000 # 获取分布式锁超时时间，默认为 3000 毫秒
|
||||
expire: 30000 # 分布式锁的超时时间，默认为 30000 毫秒
|
||||
expire: 30000 # 分布式锁的超时时间，默认为 30 毫秒
|
||||
|
||||
--- #################### 监控相关配置 ####################
|
||||
|
||||
|
|
@ -118,8 +118,6 @@ spring:
|
|||
client:
|
||||
instance:
|
||||
service-host-type: IP # 注册实例时，优先使用 IP [IP, HOST_NAME, CANONICAL_HOST_NAME]
|
||||
username: admin
|
||||
password: admin
|
||||
|
||||
# 日志文件配置
|
||||
logging:
|
||||
|
|
|
|||
|
|
@ -4,7 +4,6 @@ import cn.iocoder.yudao.framework.excel.core.annotations.DictFormat;
|
|||
import cn.iocoder.yudao.framework.excel.core.convert.DictConvert;
|
||||
import cn.iocoder.yudao.module.crm.dal.dataobject.product.CrmProductCategoryDO;
|
||||
import cn.iocoder.yudao.module.crm.enums.DictTypeConstants;
|
||||
import cn.iocoder.yudao.module.system.api.user.AdminUserApi;
|
||||
import cn.idev.excel.annotation.ExcelIgnoreUnannotated;
|
||||
import cn.idev.excel.annotation.ExcelProperty;
|
||||
import com.fhs.core.trans.anno.Trans;
|
||||
|
|
@ -59,7 +58,7 @@ public class CrmProductRespVO implements VO {
|
|||
private String description;
|
||||
|
||||
@Schema(description = "负责人的用户编号", requiredMode = Schema.RequiredMode.REQUIRED, example = "31926")
|
||||
@Trans(type = TransType.AUTO_TRANS, key = AdminUserApi.PREFIX,
|
||||
@Trans(type = TransType.SIMPLE, targetClassName = "cn.iocoder.yudao.module.system.dal.dataobject.user.AdminUserDO",
|
||||
fields = "nickname", ref = "ownerUserName")
|
||||
private Long ownerUserId;
|
||||
@Schema(description = "负责人的用户昵称", requiredMode = Schema.RequiredMode.REQUIRED, example = "芋道源码")
|
||||
|
|
@ -67,7 +66,7 @@ public class CrmProductRespVO implements VO {
|
|||
private String ownerUserName;
|
||||
|
||||
@Schema(description = "创建人编号", requiredMode = Schema.RequiredMode.REQUIRED, example = "1024")
|
||||
@Trans(type = TransType.AUTO_TRANS, key = AdminUserApi.PREFIX,
|
||||
@Trans(type = TransType.SIMPLE, targetClassName = "cn.iocoder.yudao.module.system.dal.dataobject.user.AdminUserDO",
|
||||
fields = "nickname", ref = "creatorName")
|
||||
private String creator;
|
||||
@Schema(description = "创建人名字", requiredMode = Schema.RequiredMode.REQUIRED, example = "芋道源码")
|
||||
|
|
|
|||
|
|
@ -27,12 +27,10 @@ public interface CrmCustomerLimitConfigMapper extends BaseMapperX<CrmCustomerLim
|
|||
Integer type, Long userId, Long deptId) {
|
||||
LambdaQueryWrapperX<CrmCustomerLimitConfigDO> query = new LambdaQueryWrapperX<CrmCustomerLimitConfigDO>()
|
||||
.eq(CrmCustomerLimitConfigDO::getType, type);
|
||||
query.and(w -> {
|
||||
w.apply("FIND_IN_SET({0}, user_ids) > 0", userId);
|
||||
if (deptId != null) {
|
||||
w.or().apply("FIND_IN_SET({0}, dept_ids) > 0", deptId);
|
||||
}
|
||||
});
|
||||
query.apply("FIND_IN_SET({0}, user_ids) > 0", userId);
|
||||
if (deptId != null) {
|
||||
query.apply("FIND_IN_SET({0}, dept_ids) > 0", deptId);
|
||||
}
|
||||
return selectList(query);
|
||||
}
|
||||
|
||||
|
|
|
|||
|
|
@ -5,6 +5,7 @@ import cn.iocoder.yudao.module.bpm.api.event.BpmProcessInstanceStatusEventListen
|
|||
import cn.iocoder.yudao.module.crm.enums.ApiConstants;
|
||||
import cn.iocoder.yudao.module.crm.service.contract.CrmContractService;
|
||||
import cn.iocoder.yudao.module.crm.service.contract.CrmContractServiceImpl;
|
||||
import org.springframework.cloud.openfeign.FeignClient;
|
||||
import org.springframework.validation.annotation.Validated;
|
||||
import org.springframework.web.bind.annotation.PostMapping;
|
||||
import org.springframework.web.bind.annotation.RequestBody;
|
||||
|
|
@ -19,6 +20,7 @@ import javax.annotation.Resource;
|
|||
*/
|
||||
@RestController
|
||||
@Validated
|
||||
@FeignClient(name = ApiConstants.NAME) // TODO 芋艿：fallbackFactory =
|
||||
public class CrmContractStatusListener extends BpmProcessInstanceStatusEventListener {
|
||||
|
||||
private static final String PREFIX = ApiConstants.PREFIX + "/contract";
|
||||
|
|
|
|||
|
|
@ -5,6 +5,7 @@ import cn.iocoder.yudao.module.bpm.api.event.BpmProcessInstanceStatusEventListen
|
|||
import cn.iocoder.yudao.module.crm.enums.ApiConstants;
|
||||
import cn.iocoder.yudao.module.crm.service.receivable.CrmReceivableService;
|
||||
import cn.iocoder.yudao.module.crm.service.receivable.CrmReceivableServiceImpl;
|
||||
import org.springframework.cloud.openfeign.FeignClient;
|
||||
import org.springframework.validation.annotation.Validated;
|
||||
import org.springframework.web.bind.annotation.PostMapping;
|
||||
import org.springframework.web.bind.annotation.RequestBody;
|
||||
|
|
@ -19,6 +20,7 @@ import javax.annotation.Resource;
|
|||
*/
|
||||
@RestController
|
||||
@Validated
|
||||
@FeignClient(name = ApiConstants.NAME) // TODO 芋艿：fallbackFactory =
|
||||
public class CrmReceivableStatusListener extends BpmProcessInstanceStatusEventListener {
|
||||
|
||||
private static final String PREFIX = ApiConstants.PREFIX + "/receivable";
|
||||
|
|
|
|||
|
|
@ -87,7 +87,7 @@ xxl:
|
|||
# Lock4j 配置项
|
||||
lock4j:
|
||||
acquire-timeout: 3000 # 获取分布式锁超时时间，默认为 3000 毫秒
|
||||
expire: 30000 # 分布式锁的超时时间，默认为 30000 毫秒
|
||||
expire: 30000 # 分布式锁的超时时间，默认为 30 毫秒
|
||||
|
||||
--- #################### 监控相关配置 ####################
|
||||
|
||||
|
|
@ -107,8 +107,6 @@ spring:
|
|||
client:
|
||||
instance:
|
||||
service-host-type: IP # 注册实例时，优先使用 IP [IP, HOST_NAME, CANONICAL_HOST_NAME]
|
||||
username: admin
|
||||
password: admin
|
||||
|
||||
--- #################### 芋道相关配置 ####################
|
||||
|
||||
|
|
|
|||
|
|
@ -96,7 +96,7 @@ xxl:
|
|||
# Lock4j 配置项
|
||||
lock4j:
|
||||
acquire-timeout: 3000 # 获取分布式锁超时时间，默认为 3000 毫秒
|
||||
expire: 30000 # 分布式锁的超时时间，默认为 30000 毫秒
|
||||
expire: 30000 # 分布式锁的超时时间，默认为 30 毫秒
|
||||
|
||||
--- #################### 监控相关配置 ####################
|
||||
|
||||
|
|
@ -116,8 +116,6 @@ spring:
|
|||
client:
|
||||
instance:
|
||||
service-host-type: IP # 注册实例时，优先使用 IP [IP, HOST_NAME, CANONICAL_HOST_NAME]
|
||||
username: admin
|
||||
password: admin
|
||||
|
||||
# 日志文件配置
|
||||
logging:
|
||||
|
|
|
|||
|
|
@ -31,14 +31,14 @@ public interface ErpFinancePaymentItemMapper extends BaseMapperX<ErpFinancePayme
|
|||
default BigDecimal selectPaymentPriceSumByBizIdAndBizType(Long bizId, Integer bizType) {
|
||||
// SQL sum 查询
|
||||
List<Map<String, Object>> result = selectMaps(new QueryWrapper<ErpFinancePaymentItemDO>()
|
||||
.select("SUM(payment_price) AS payment_price_sum")
|
||||
.select("SUM(payment_price) AS paymentPriceSum")
|
||||
.eq("biz_id", bizId)
|
||||
.eq("biz_type", bizType));
|
||||
// 获得数量
|
||||
if (CollUtil.isEmpty(result)) {
|
||||
return BigDecimal.ZERO;
|
||||
}
|
||||
return BigDecimal.valueOf(MapUtil.getDouble(result.get(0), "payment_price_sum", 0D));
|
||||
return BigDecimal.valueOf(MapUtil.getDouble(result.get(0), "paymentPriceSum", 0D));
|
||||
}
|
||||
|
||||
}
|
||||
|
|
@ -31,14 +31,14 @@ public interface ErpFinanceReceiptItemMapper extends BaseMapperX<ErpFinanceRecei
|
|||
default BigDecimal selectReceiptPriceSumByBizIdAndBizType(Long bizId, Integer bizType) {
|
||||
// SQL sum 查询
|
||||
List<Map<String, Object>> result = selectMaps(new QueryWrapper<ErpFinanceReceiptItemDO>()
|
||||
.select("SUM(receipt_price) AS receipt_price_sum")
|
||||
.select("SUM(receipt_price) AS receiptPriceSum")
|
||||
.eq("biz_id", bizId)
|
||||
.eq("biz_type", bizType));
|
||||
// 获得数量
|
||||
if (CollUtil.isEmpty(result)) {
|
||||
return BigDecimal.ZERO;
|
||||
}
|
||||
return BigDecimal.valueOf(MapUtil.getDouble(result.get(0), "receipt_price_sum", 0D));
|
||||
return BigDecimal.valueOf(MapUtil.getDouble(result.get(0), "receiptPriceSum", 0D));
|
||||
}
|
||||
|
||||
}
|
||||
|
|
@ -46,11 +46,11 @@ public interface ErpPurchaseInItemMapper extends BaseMapperX<ErpPurchaseInItemDO
|
|||
}
|
||||
// SQL sum 查询
|
||||
List<Map<String, Object>> result = selectMaps(new QueryWrapper<ErpPurchaseInItemDO>()
|
||||
.select("order_item_id, SUM(count) AS sum_count")
|
||||
.select("order_item_id, SUM(count) AS sumCount")
|
||||
.groupBy("order_item_id")
|
||||
.in("in_id", inIds));
|
||||
// 获得数量
|
||||
return convertMap(result, obj -> (Long) obj.get("order_item_id"), obj -> (BigDecimal) obj.get("sum_count"));
|
||||
return convertMap(result, obj -> (Long) obj.get("order_item_id"), obj -> (BigDecimal) obj.get("sumCount"));
|
||||
}
|
||||
|
||||
}
|
||||
|
|
@ -46,11 +46,11 @@ public interface ErpPurchaseReturnItemMapper extends BaseMapperX<ErpPurchaseRetu
|
|||
}
|
||||
// SQL sum 查询
|
||||
List<Map<String, Object>> result = selectMaps(new QueryWrapper<ErpPurchaseReturnItemDO>()
|
||||
.select("order_item_id, SUM(count) AS sum_count")
|
||||
.select("order_item_id, SUM(count) AS sumCount")
|
||||
.groupBy("order_item_id")
|
||||
.in("return_id", returnIds));
|
||||
// 获得数量
|
||||
return convertMap(result, obj -> (Long) obj.get("order_item_id"), obj -> (BigDecimal) obj.get("sum_count"));
|
||||
return convertMap(result, obj -> (Long) obj.get("order_item_id"), obj -> (BigDecimal) obj.get("sumCount"));
|
||||
}
|
||||
|
||||
}
|
||||
|
|
@ -46,11 +46,11 @@ public interface ErpSaleOutItemMapper extends BaseMapperX<ErpSaleOutItemDO> {
|
|||
}
|
||||
// SQL sum 查询
|
||||
List<Map<String, Object>> result = selectMaps(new QueryWrapper<ErpSaleOutItemDO>()
|
||||
.select("order_item_id, SUM(count) AS sum_count")
|
||||
.select("order_item_id, SUM(count) AS sumCount")
|
||||
.groupBy("order_item_id")
|
||||
.in("out_id", outIds));
|
||||
// 获得数量
|
||||
return convertMap(result, obj -> (Long) obj.get("order_item_id"), obj -> (BigDecimal) obj.get("sum_count"));
|
||||
return convertMap(result, obj -> (Long) obj.get("order_item_id"), obj -> (BigDecimal) obj.get("sumCount"));
|
||||
}
|
||||
|
||||
}
|
||||
|
|
@ -46,11 +46,11 @@ public interface ErpSaleReturnItemMapper extends BaseMapperX<ErpSaleReturnItemDO
|
|||
}
|
||||
// SQL sum 查询
|
||||
List<Map<String, Object>> result = selectMaps(new QueryWrapper<ErpSaleReturnItemDO>()
|
||||
.select("order_item_id, SUM(count) AS sum_count")
|
||||
.select("order_item_id, SUM(count) AS sumCount")
|
||||
.groupBy("order_item_id")
|
||||
.in("return_id", returnIds));
|
||||
// 获得数量
|
||||
return convertMap(result, obj -> (Long) obj.get("order_item_id"), obj -> (BigDecimal) obj.get("sum_count"));
|
||||
return convertMap(result, obj -> (Long) obj.get("order_item_id"), obj -> (BigDecimal) obj.get("sumCount"));
|
||||
}
|
||||
|
||||
}
|
||||
|
|
@ -52,13 +52,13 @@ public interface ErpStockMapper extends BaseMapperX<ErpStockDO> {
|
|||
default BigDecimal selectSumByProductId(Long productId) {
|
||||
// SQL sum 查询
|
||||
List<Map<String, Object>> result = selectMaps(new QueryWrapper<ErpStockDO>()
|
||||
.select("SUM(count) AS sum_count")
|
||||
.select("SUM(count) AS sumCount")
|
||||
.eq("product_id", productId));
|
||||
// 获得数量
|
||||
if (CollUtil.isEmpty(result)) {
|
||||
return BigDecimal.ZERO;
|
||||
}
|
||||
return BigDecimal.valueOf(MapUtil.getDouble(result.get(0), "sum_count", 0D));
|
||||
return BigDecimal.valueOf(MapUtil.getDouble(result.get(0), "sumCount", 0D));
|
||||
}
|
||||
|
||||
}
|
||||
|
|
@ -87,7 +87,7 @@ xxl:
|
|||
# Lock4j 配置项
|
||||
lock4j:
|
||||
acquire-timeout: 3000 # 获取分布式锁超时时间，默认为 3000 毫秒
|
||||
expire: 30000 # 分布式锁的超时时间，默认为 30000 毫秒
|
||||
expire: 30000 # 分布式锁的超时时间，默认为 30 毫秒
|
||||
|
||||
--- #################### 监控相关配置 ####################
|
||||
|
||||
|
|
@ -107,8 +107,6 @@ spring:
|
|||
client:
|
||||
instance:
|
||||
service-host-type: IP # 注册实例时，优先使用 IP [IP, HOST_NAME, CANONICAL_HOST_NAME]
|
||||
username: admin
|
||||
password: admin
|
||||
|
||||
--- #################### 芋道相关配置 ####################
|
||||
|
||||
|
|
|
|||
|
|
@ -96,7 +96,7 @@ xxl:
|
|||
# Lock4j 配置项
|
||||
lock4j:
|
||||
acquire-timeout: 3000 # 获取分布式锁超时时间，默认为 3000 毫秒
|
||||
expire: 30000 # 分布式锁的超时时间，默认为 30000 毫秒
|
||||
expire: 30000 # 分布式锁的超时时间，默认为 30 毫秒
|
||||
|
||||
--- #################### 监控相关配置 ####################
|
||||
|
||||
|
|
@ -116,8 +116,6 @@ spring:
|
|||
client:
|
||||
instance:
|
||||
service-host-type: IP # 注册实例时，优先使用 IP [IP, HOST_NAME, CANONICAL_HOST_NAME]
|
||||
username: admin
|
||||
password: admin
|
||||
|
||||
# 日志文件配置
|
||||
logging:
|
||||
|
|
|
|||
|
|
@ -23,8 +23,6 @@ public enum CodegenFrontTypeEnum {
|
|||
|
||||
VUE3_VBEN5_EP_SCHEMA(50), // Vue3 VBEN5 + EP + schema 模版
|
||||
VUE3_VBEN5_EP_GENERAL(51), // Vue3 VBEN5 + EP 标准模版
|
||||
|
||||
VUE3_ADMIN_UNIAPP_WOT(60), // Vue3 Admin + Uniapp + WOT 标准模版
|
||||
;
|
||||
|
||||
/**
|
||||
|
|
|
|||
|
|
@ -13,7 +13,6 @@ import cn.iocoder.yudao.module.infra.service.file.FileService;
|
|||
import io.swagger.v3.oas.annotations.Operation;
|
||||
import io.swagger.v3.oas.annotations.Parameter;
|
||||
import io.swagger.v3.oas.annotations.Parameters;
|
||||
import io.swagger.v3.oas.annotations.media.Schema;
|
||||
import io.swagger.v3.oas.annotations.tags.Tag;
|
||||
import javax.annotation.Resource;
|
||||
import javax.annotation.security.PermitAll;
|
||||
|
|
@ -45,8 +44,6 @@ public class FileController {
|
|||
|
||||
@PostMapping("/upload")
|
||||
@Operation(summary = "上传文件", description = "模式一：后端上传文件")
|
||||
@Parameter(name = "file", description = "文件附件", required = true,
|
||||
schema = @Schema(type = "string", format = "binary"))
|
||||
public CommonResult<String> uploadFile(@Valid FileUploadReqVO uploadReqVO) throws Exception {
|
||||
MultipartFile file = uploadReqVO.getFile();
|
||||
byte[] content = IoUtil.readBytes(file.getInputStream());
|
||||
|
|
@ -72,14 +69,6 @@ public class FileController {
|
|||
return success(fileService.createFile(createReqVO));
|
||||
}
|
||||
|
||||
@GetMapping("/get")
|
||||
@Operation(summary = "获得文件")
|
||||
@Parameter(name = "id", description = "编号", required = true)
|
||||
@PreAuthorize("@ss.hasPermission('infra:file:query')")
|
||||
public CommonResult<FileRespVO> getFile(@RequestParam("id") Long id) {
|
||||
return success(BeanUtils.toBean(fileService.getFile(id), FileRespVO.class));
|
||||
}
|
||||
|
||||
@DeleteMapping("/delete")
|
||||
@Operation(summary = "删除文件")
|
||||
@Parameter(name = "id", description = "编号", required = true)
|
||||
|
|
|
|||
|
|
@ -28,6 +28,6 @@ public class FileCreateReqVO {
|
|||
private String type;
|
||||
|
||||
@Schema(description = "文件大小", example = "2048", requiredMode = Schema.RequiredMode.REQUIRED)
|
||||
private Long size;
|
||||
private Integer size;
|
||||
|
||||
}
|
||||
|
|
|
|||
|
|
@ -28,7 +28,7 @@ public class FileRespVO {
|
|||
private String type;
|
||||
|
||||
@Schema(description = "文件大小", example = "2048", requiredMode = Schema.RequiredMode.REQUIRED)
|
||||
private Long size;
|
||||
private Integer size;
|
||||
|
||||
@Schema(description = "创建时间", requiredMode = Schema.RequiredMode.REQUIRED)
|
||||
private LocalDateTime createTime;
|
||||
|
|
|
|||
|
|
@ -23,14 +23,7 @@ public class FileUploadReqVO {
|
|||
@AssertTrue(message = "文件目录不正确")
|
||||
@JsonIgnore
|
||||
public boolean isDirectoryValid() {
|
||||
return isDirectoryValid(directory);
|
||||
}
|
||||
|
||||
public static boolean isDirectoryValid(String directory) {
|
||||
// 1. 不能包含 .. 防止目录穿越
|
||||
// 2. 不能以 / 或 \ 开头，防止上传到根目录
|
||||
return !StrUtil.contains(directory, "..")
|
||||
&& !StrUtil.startWithAny(directory, "/", "\\");
|
||||
return !StrUtil.containsAny(directory, "..", "/", "\\");
|
||||
}
|
||||
|
||||
}
|
||||
|
|
|
|||
|
|
@ -11,13 +11,11 @@ import cn.iocoder.yudao.module.infra.controller.admin.logger.vo.apiaccesslog.Api
|
|||
import cn.iocoder.yudao.module.infra.dal.dataobject.logger.ApiAccessLogDO;
|
||||
import cn.iocoder.yudao.module.infra.service.logger.ApiAccessLogService;
|
||||
import io.swagger.v3.oas.annotations.Operation;
|
||||
import io.swagger.v3.oas.annotations.Parameter;
|
||||
import io.swagger.v3.oas.annotations.tags.Tag;
|
||||
import org.springframework.security.access.prepost.PreAuthorize;
|
||||
import org.springframework.validation.annotation.Validated;
|
||||
import org.springframework.web.bind.annotation.GetMapping;
|
||||
import org.springframework.web.bind.annotation.RequestMapping;
|
||||
import org.springframework.web.bind.annotation.RequestParam;
|
||||
import org.springframework.web.bind.annotation.RestController;
|
||||
|
||||
import javax.annotation.Resource;
|
||||
|
|
@ -38,15 +36,6 @@ public class ApiAccessLogController {
|
|||
@Resource
|
||||
private ApiAccessLogService apiAccessLogService;
|
||||
|
||||
@GetMapping("/get")
|
||||
@Operation(summary = "获得 API 访问日志")
|
||||
@Parameter(name = "id", description = "编号", required = true, example = "1024")
|
||||
@PreAuthorize("@ss.hasPermission('infra:api-access-log:query')")
|
||||
public CommonResult<ApiAccessLogRespVO> getApiAccessLog(@RequestParam("id") Long id) {
|
||||
ApiAccessLogDO apiAccessLog = apiAccessLogService.getApiAccessLog(id);
|
||||
return success(BeanUtils.toBean(apiAccessLog, ApiAccessLogRespVO.class));
|
||||
}
|
||||
|
||||
@GetMapping("/page")
|
||||
@Operation(summary = "获得API 访问日志分页")
|
||||
@PreAuthorize("@ss.hasPermission('infra:api-access-log:query')")
|
||||
|
|
|
|||
|
|
@ -50,15 +50,6 @@ public class ApiErrorLogController {
|
|||
return success(true);
|
||||
}
|
||||
|
||||
@GetMapping("/get")
|
||||
@Operation(summary = "获得 API 错误日志")
|
||||
@Parameter(name = "id", description = "编号", required = true, example = "1024")
|
||||
@PreAuthorize("@ss.hasPermission('infra:api-error-log:query')")
|
||||
public CommonResult<ApiErrorLogRespVO> getApiErrorLog(@RequestParam("id") Long id) {
|
||||
ApiErrorLogDO apiErrorLog = apiErrorLogService.getApiErrorLog(id);
|
||||
return success(BeanUtils.toBean(apiErrorLog, ApiErrorLogRespVO.class));
|
||||
}
|
||||
|
||||
@GetMapping("/page")
|
||||
@Operation(summary = "获得 API 错误日志分页")
|
||||
@PreAuthorize("@ss.hasPermission('infra:api-error-log:query')")
|
||||
|
|
@ -72,7 +63,7 @@ public class ApiErrorLogController {
|
|||
@PreAuthorize("@ss.hasPermission('infra:api-error-log:export')")
|
||||
@ApiAccessLog(operateType = EXPORT)
|
||||
public void exportApiErrorLogExcel(@Valid ApiErrorLogPageReqVO exportReqVO,
|
||||
HttpServletResponse response) throws IOException {
|
||||
HttpServletResponse response) throws IOException {
|
||||
exportReqVO.setPageSize(PageParam.PAGE_SIZE_NONE);
|
||||
List<ApiErrorLogDO> list = apiErrorLogService.getApiErrorLogPage(exportReqVO).getList();
|
||||
// 导出 Excel
|
||||
|
|
|
|||
|
|
@ -70,7 +70,7 @@ public class ApiAccessLogRespVO {
|
|||
|
||||
@Schema(description = "操作分类", requiredMode = Schema.RequiredMode.REQUIRED, example = "1")
|
||||
@ExcelProperty(value = "操作分类", converter = DictConvert.class)
|
||||
@DictFormat(DictTypeConstants.OPERATE_TYPE)
|
||||
@DictFormat(cn.iocoder.yudao.module.infra.enums.DictTypeConstants.OPERATE_TYPE)
|
||||
private Integer operateType;
|
||||
|
||||
@Schema(description = "开始请求时间", requiredMode = Schema.RequiredMode.REQUIRED)
|
||||
|
|
|
|||
|
|
@ -9,7 +9,6 @@ import cn.iocoder.yudao.module.infra.service.file.FileService;
|
|||
import io.swagger.v3.oas.annotations.Operation;
|
||||
import io.swagger.v3.oas.annotations.Parameter;
|
||||
import io.swagger.v3.oas.annotations.Parameters;
|
||||
import io.swagger.v3.oas.annotations.media.Schema;
|
||||
import io.swagger.v3.oas.annotations.tags.Tag;
|
||||
import lombok.extern.slf4j.Slf4j;
|
||||
import org.springframework.validation.annotation.Validated;
|
||||
|
|
@ -34,8 +33,6 @@ public class AppFileController {
|
|||
|
||||
@PostMapping("/upload")
|
||||
@Operation(summary = "上传文件")
|
||||
@Parameter(name = "file", description = "文件附件", required = true,
|
||||
schema = @Schema(type = "string", format = "binary"))
|
||||
@PermitAll
|
||||
public CommonResult<String> uploadFile(AppFileUploadReqVO uploadReqVO) throws Exception {
|
||||
MultipartFile file = uploadReqVO.getFile();
|
||||
|
|
|
|||
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Reference in New Issue