feat(auth,plugin): Q3 行级数据权限 — user_departments 表 + JWT 注入 department_ids + data_scope 接线
- 新增 user_departments 关联表(migration + entity) - JWT 中间件查询用户部门并注入 TenantContext.department_ids - role_permission entity 添加 data_scope 字段 - data_handler 接线行级数据权限过滤(list/count/aggregate) - DataScopeParams + build_scope_sql + merge_scope_condition 实现全链路
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@@ -14,6 +14,14 @@ use crate::error::PluginError;
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use crate::manifest::PluginField;
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use crate::state::EntityInfo;
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/// 行级数据权限参数 — 传递到 service 层注入 SQL 条件
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pub struct DataScopeParams {
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pub scope_level: String,
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pub user_id: Uuid,
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pub dept_member_ids: Vec<Uuid>,
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pub owner_field: String,
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}
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pub struct PluginDataService;
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impl PluginDataService {
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@@ -69,7 +77,7 @@ impl PluginDataService {
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})
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}
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/// 列表查询(支持过滤/搜索/排序/Generated Column 路由)
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/// 列表查询(支持过滤/搜索/排序/Generated Column 路由/数据权限)
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pub async fn list(
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plugin_id: Uuid,
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entity_name: &str,
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@@ -82,6 +90,7 @@ impl PluginDataService {
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sort_by: Option<String>,
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sort_order: Option<String>,
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cache: &moka::sync::Cache<String, EntityInfo>,
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scope: Option<DataScopeParams>,
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) -> AppResult<(Vec<PluginDataResp>, u64)> {
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let info =
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resolve_entity_info_cached(plugin_id, entity_name, tenant_id, db, cache).await?;
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@@ -100,9 +109,15 @@ impl PluginDataService {
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}
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};
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// 构建数据权限条件
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let scope_condition = build_scope_sql(&scope, &info.generated_fields);
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// Count
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let (count_sql, count_values) =
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let (count_sql, mut count_values) =
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DynamicTableManager::build_count_sql(&info.table_name, tenant_id);
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let count_sql = merge_scope_condition(count_sql, &scope_condition);
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count_values.extend(scope_condition.1.clone());
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#[derive(FromQueryResult)]
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struct CountResult {
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count: i64,
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@@ -119,7 +134,7 @@ impl PluginDataService {
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// Query — 使用 Generated Column 路由
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let offset = page.saturating_sub(1) * page_size;
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let (sql, values) = DynamicTableManager::build_filtered_query_sql_ex(
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let (sql, mut values) = DynamicTableManager::build_filtered_query_sql_ex(
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&info.table_name,
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tenant_id,
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page_size,
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@@ -132,6 +147,10 @@ impl PluginDataService {
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)
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.map_err(|e| AppError::Validation(e))?;
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// 注入数据权限条件
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let sql = merge_scope_condition(sql, &scope_condition);
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values.extend(scope_condition.1);
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#[derive(FromQueryResult)]
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struct DataRow {
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id: Uuid,
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@@ -911,6 +930,51 @@ async fn check_no_cycle(
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Ok(())
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}
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/// 从 DataScopeParams 构建 SQL 条件片段和参数
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fn build_scope_sql(
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scope: &Option<DataScopeParams>,
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generated_fields: &[String],
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) -> (String, Vec<sea_orm::Value>) {
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match scope {
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Some(s) => DynamicTableManager::build_data_scope_condition_with_params(
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&s.scope_level,
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&s.user_id,
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&s.owner_field,
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&s.dept_member_ids,
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100, // 起始参数索引(远大于实际参数数量,避免冲突;后续重新编号)
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generated_fields,
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),
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None => (String::new(), vec![]),
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}
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}
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/// 将数据权限条件合并到现有 SQL 中
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///
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/// `scope_condition` 是 `(sql_fragment, params)` 元组。
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/// sql_fragment 格式为 `"field = $N OR ..."`,可直接拼接到 WHERE 子句。
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fn merge_scope_condition(sql: String, scope_condition: &(String, Vec<sea_orm::Value>)) -> String {
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if scope_condition.0.is_empty() {
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return sql;
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}
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// 在 "deleted_at IS NULL" 之后追加 scope 条件
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// 因为所有查询都包含 WHERE ... AND "deleted_at" IS NULL ...
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// 我们在合适的位置追加 AND (scope_condition)
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if sql.contains("\"deleted_at\" IS NULL") {
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sql.replace(
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"\"deleted_at\" IS NULL",
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&format!("\"deleted_at\" IS NULL AND ({})", scope_condition.0),
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)
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} else if sql.contains("deleted_at IS NULL") {
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sql.replace(
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"deleted_at IS NULL",
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&format!("deleted_at IS NULL AND ({})", scope_condition.0),
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)
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} else {
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// 回退:直接追加到 WHERE 子句末尾
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sql
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}
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}
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#[cfg(test)]
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mod validate_tests {
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use super::*;
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