update

README.md

@@ -7,7 +7,7 @@
 - **WHERE**: 条件过滤
 - **ORDER BY**: 排序
 - **LIMIT**: 限制结果数量
-- **操作符**: `=`, `!=`, `>`, `<`, `>=`, `<=`, `IN`, `CONTAINS`
+- **操作符**: `=`, `!=`, `>`, `<`, `>=`, `<=`, `IN`, `CONTAINS`, `LIKE`
 - **逻辑**: `AND`, `OR`
 
 ## 语法示例
@@ -27,6 +27,11 @@ filter(users, "WHERE metadata.type = 'user' ORDER BY metadata.created_at DESC LI
 
 // IN 操作
 filter(users, "WHERE metadata.region IN ['beijing', 'shanghai']");
+
+// LIKE 操作 (支持 % 匹配任意字符，_ 匹配单个字符)
+filter(products, "WHERE name LIKE '%Apple%'");
+filter(products, "WHERE name LIKE 'Apple%'");
+filter(products, "WHERE name LIKE '%Phone'");
 ```
 
 ## 使用方法

package.json

@@ -1,6 +1,6 @@
 {
   "name": "@kevisual/js-filter",
-  "version": "0.0.1",
+  "version": "0.0.2",
   "description": "sql like filter for js arrays",
   "main": "dist/index.js",
   "types": "dist/index.d.ts",

src/index.ts

@@ -1,6 +1,6 @@
 type Token = {
   type: 'WHERE' | 'AND' | 'OR' | 'ORDER' | 'BY' | 'ASC' | 'DESC' | 'LIMIT'
-  | 'EQ' | 'NEQ' | 'GT' | 'LT' | 'GTE' | 'LTE' | 'IN' | 'CONTAINS'
+  | 'EQ' | 'NEQ' | 'GT' | 'LT' | 'GTE' | 'LTE' | 'IN' | 'CONTAINS' | 'LIKE'
   | 'IDENTIFIER' | 'STRING' | 'NUMBER' | 'COMMA' | 'LBRACKET' | 'RBRACKET'
   | 'EOF';
   value: string;
@@ -63,7 +63,7 @@ class Lexer {
   }
 
   private isKeyword(value: string): boolean {
-    const keywords = ['WHERE', 'AND', 'OR', 'ORDER', 'BY', 'ASC', 'DESC', 'LIMIT', 'IN', 'CONTAINS'];
+    const keywords = ['WHERE', 'AND', 'OR', 'ORDER', 'BY', 'ASC', 'DESC', 'LIMIT', 'IN', 'CONTAINS', 'LIKE'];
     return keywords.includes(value.toUpperCase());
   }
 
@@ -138,7 +138,8 @@ class Lexer {
       'DESC': 'DESC',
       'LIMIT': 'LIMIT',
       'IN': 'IN',
-      'CONTAINS': 'CONTAINS'
+      'CONTAINS': 'CONTAINS',
+      'LIKE': 'LIKE'
     };
 
     if (keywords[upperIdentifier]) {
@@ -209,7 +210,11 @@ class Parser {
     let operator: string;
     let value: any;
 
-    if (this.currentToken.type === 'CONTAINS') {
+    if (this.currentToken.type === 'LIKE') {
+      operator = 'LIKE';
+      this.eat('LIKE');
+      value = this.parseValue();
+    } else if (this.currentToken.type === 'CONTAINS') {
       operator = 'CONTAINS';
       this.eat('CONTAINS');
       value = this.parseValue();
@@ -284,6 +289,23 @@ class Executor {
     return path.split('.').reduce((acc, part) => acc?.[part], obj);
   }
 
+  private likeToRegex(pattern: string): RegExp {
+    let regex = '';
+    for (let i = 0; i < pattern.length; i++) {
+      const char = pattern[i];
+      if (char === '%') {
+        regex += '.*';
+      } else if (char === '_') {
+        regex += '.';
+      } else if (/[.*+?^${}()|[\]\\]/.test(char)) {
+        regex += '\\' + char;
+      } else {
+        regex += char;
+      }
+    }
+    return new RegExp(`^${regex}$`, 'i');
+  }
+
   evaluateCondition(node: ASTNode, item: any): boolean {
     if (node.type === 'Condition') {
       const fieldValue = this.getValueByPath(item, node.field!);
@@ -307,6 +329,11 @@ class Executor {
           return Array.isArray(actualValue) && actualValue.includes(fieldValue);
         case 'CONTAINS':
           return Array.isArray(fieldValue) && fieldValue.includes(actualValue);
+        case 'LIKE':
+          if (typeof fieldValue !== 'string' || typeof actualValue !== 'string') {
+            return false;
+          }
+          return this.likeToRegex(actualValue).test(fieldValue);
         default:
           return false;
       }

test/example.ts

@@ -53,3 +53,23 @@ console.log('\n=== 前2个用户，按时间倒序 ===');
 const limitResult = filter(users, "ORDER BY metadata.created_at DESC LIMIT 2");
 console.log('Limit result length:', limitResult.length);
 console.log(limitResult);
+
+const products = [
+  { name: 'Apple iPhone 15', category: 'Phone' },
+  { name: 'Samsung Galaxy S24', category: 'Phone' },
+  { name: 'Apple MacBook Pro', category: 'Laptop' },
+  { name: 'Apple Watch', category: 'Watch' }
+];
+
+console.log('\n=== LIKE 测试 ===');
+console.log('\n=== 包含 Apple 的产品 (%Apple%) ===');
+console.log(filter(products, "WHERE name LIKE '%Apple%'"));
+
+console.log('\n=== 以 Apple 开头的产品 (Apple%) ===');
+console.log(filter(products, "WHERE name LIKE 'Apple%'"));
+
+console.log('\n=== 以 Phone 结尾的产品 (%Phone) ===');
+console.log(filter(products, "WHERE name LIKE '%Phone%'"));
+
+console.log('\n=== 第二个字符任意的产品 (A_pple%) ===');
+console.log(filter(products, "WHERE name LIKE 'A_pple%'"));