5.9.2

changelog.md

@@ -1,5 +1,38 @@
 # Changelog
 
+## 2025-04-18 - 5.9.2 - fix(documentation)
+Update search API documentation to replace deprecated searchWithLucene examples with the unified search(query) API and clarify its behavior.
+
+- Replaced 'searchWithLucene' examples with 'search(query)' in the README.
+- Updated explanation to detail field-specific exact match, partial word regex search, multi-word literal matching, and handling of empty queries.
+- Clarified guidelines for creating MongoDB text indexes on searchable fields for optimized search performance.
+
+## 2025-04-18 - 5.9.1 - fix(search)
+Refactor search tests to use unified search API and update text index type casting
+
+- Replaced all calls from searchWithLucene with search in test/search tests
+- Updated text index specification in the collection class to use proper type casting
+
+## 2025-04-18 - 5.9.0 - feat(collections/search)
+Improve text index creation and search fallback mechanisms in collections and document search methods
+
+- Auto-create a compound text index on all searchable fields in SmartdataCollection with a one-time flag to prevent duplicate index creation.
+- Refine the search method in SmartDataDbDoc to support exact field matches and safe regex fallback for non-Lucene queries.
+
+## 2025-04-17 - 5.8.4 - fix(core)
+Update commit metadata with no functional code changes
+
+- Commit info and documentation refreshed
+- No code or test changes detected in the diff
+
+## 2025-04-17 - 5.8.3 - fix(readme)
+Improve readme documentation on data models and connection management
+
+- Clarify that data models use @Collection, @unI, @svDb, @index, and @searchable decorators
+- Document that ObjectId and Buffer fields are stored as BSON types natively without extra decorators
+- Update connection management section to use 'db.close()' instead of 'db.disconnect()'
+- Revise license section to reference the MIT License without including additional legal details
+
 ## 2025-04-14 - 5.8.2 - fix(classes.doc.ts)
 Ensure collection initialization before creating a cursor in getCursorExtended
 

package.json

@@ -1,6 +1,6 @@
 {
   "name": "@push.rocks/smartdata",
-  "version": "5.8.2",
+  "version": "5.9.2",
   "private": false,
   "description": "An advanced library for NoSQL data organization and manipulation using TypeScript with support for MongoDB, data validation, collections, and custom data types.",
   "main": "dist_ts/index.js",

readme.md

@@ -18,7 +18,7 @@ A powerful TypeScript-first MongoDB wrapper that provides advanced features for
 - **Enhanced Cursors**: Chainable, type-safe cursor API with memory efficient data processing
 - **Type Conversion**: Automatic handling of MongoDB types like ObjectId and Binary data
 - **Serialization Hooks**: Custom serialization and deserialization of document properties
-- **Powerful Search Capabilities**: Lucene-like query syntax with field-specific search, advanced operators, and fallback mechanisms
+- **Powerful Search Capabilities**: Unified `search(query)` API supporting field:value exact matches, multi-field regex searches, case-insensitive matching, and automatic escaping to prevent regex injection
 
 ## Requirements
 
@@ -66,7 +66,7 @@ await db.init();
 
 ### Defining Data Models
 
-Data models in `@push.rocks/smartdata` are classes that represent collections and documents in your MongoDB database. Use decorators such as `@Collection`, `@unI`, and `@svDb` to define your data models.
+Data models in `@push.rocks/smartdata` are classes that represent collections and documents in your MongoDB database. Use decorators such as `@Collection`, `@unI`, `@svDb`, `@index`, and `@searchable` to define your data models. Fields of type `ObjectId` or `Buffer` decorated with `@svDb()` will be stored as BSON ObjectId and Binary, respectively; no separate `@oid()` or `@bin()` decorators are required.
 
 ```typescript
 import {
@@ -74,8 +74,6 @@ import {
   Collection,
   unI,
   svDb,
-  oid,
-  bin,
   index,
   searchable,
 } from '@push.rocks/smartdata';
@@ -96,12 +94,10 @@ class User extends SmartDataDbDoc<User, User> {
   public email: string; // Mark 'email' to be saved in DB
 
   @svDb()
-  @oid() // Automatically handle as ObjectId type
-  public organizationId: ObjectId; // Will be automatically converted to/from ObjectId
+  public organizationId: ObjectId; // Stored as BSON ObjectId
 
   @svDb()
-  @bin() // Automatically handle as Binary data
-  public profilePicture: Buffer; // Will be automatically converted to/from Binary
+  public profilePicture: Buffer; // Stored as BSON Binary
 
   @svDb({
     serialize: (data) => JSON.stringify(data), // Custom serialization
@@ -222,43 +218,31 @@ class Product extends SmartDataDbDoc<Product, Product> {
 const searchableFields = getSearchableFields('Product'); // ['name', 'description', 'category']
 
 // Basic search across all searchable fields
-const iPhoneProducts = await Product.searchWithLucene('iPhone');
+const iphoneProducts = await Product.search('iPhone');
 
-// Field-specific search
-const electronicsProducts = await Product.searchWithLucene('category:Electronics');
+// Field-specific exact match
+const electronicsProducts = await Product.search('category:Electronics');
 
-// Search with wildcards
-const macProducts = await Product.searchWithLucene('Mac*');
+// Partial word search (regex across all fields)
+const laptopResults = await Product.search('laptop');
 
-// Search in specific fields with partial words
-const laptopResults = await Product.searchWithLucene('description:laptop');
+// Multi-word literal search
+const paperwhite = await Product.search('Kindle Paperwhite');
 
-// Search is case-insensitive
-const results1 = await Product.searchWithLucene('electronics');
-const results2 = await Product.searchWithLucene('Electronics');
-// results1 and results2 will contain the same documents
-
-// Using boolean operators (requires text index in MongoDB)
-const wirelessOrLaptop = await Product.searchWithLucene('wireless OR laptop');
-
-// Negative searches
-const electronicsNotSamsung = await Product.searchWithLucene('Electronics NOT Samsung');
-
-// Phrase searches
-const exactPhrase = await Product.searchWithLucene('"high-speed blender"');
-
-// Grouping with parentheses
-const complexQuery = await Product.searchWithLucene('(wireless OR bluetooth) AND Electronics');
+// Empty query returns all documents
+const allProducts = await Product.search('');
 ```
 
 The search functionality includes:
 
 - `@searchable()` decorator for marking fields as searchable
-- `getSearchableFields()` to retrieve all searchable fields for a class
-- `search()` method for basic search (requires MongoDB text index)
-- `searchWithLucene()` method with robust fallback mechanisms
-- Support for field-specific searches, wildcards, and boolean operators
-- Automatic fallback to regex-based search if MongoDB text search fails
+- `getSearchableFields()` to list searchable fields for a model
+- `search(query: string)` method supporting:
+  - Field-specific exact matches (`field:value`)
+  - Case-insensitive partial matches across all searchable fields
+  - Multi-word literal matching
+  - Empty queries returning all documents
+- Automatic escaping of special characters to prevent regex injection
 
 ### EasyStore
 
@@ -541,7 +525,7 @@ class Order extends SmartDataDbDoc<Order, Order> {
 ### Connection Management
 
 - Always call `db.init()` before using any database features
-- Use `db.disconnect()` when shutting down your application
+- Use `db.close()` when shutting down your application
 - Set appropriate connection pool sizes based on your application's needs
 
 ### Document Design
@@ -553,10 +537,10 @@ class Order extends SmartDataDbDoc<Order, Order> {
 
 ### Search Optimization
 
-- Create MongoDB text indexes for collections that need advanced search operations
-- Use `searchWithLucene()` for robust searches with fallback mechanisms
-- Prefer field-specific searches when possible for better performance
-- Use simple term queries instead of boolean operators if you don't have text indexes
+- (Optional) Create MongoDB text indexes on searchable fields to speed up full-text search
+- Use `search(query)` for all search operations (field:value, partial matches, multi-word)
+- Prefer field-specific exact matches when possible for optimal performance
+- Avoid unnecessary complexity in query strings to keep regex searches efficient
 
 ### Performance Optimization
 
@@ -590,7 +574,7 @@ Please make sure to update tests as appropriate and follow our coding standards.
 
 ## License and Legal Information
 
-This repository contains open-source code that is licensed under the MIT License. A copy of the MIT License can be found in the [license](license) file within this repository.
+This repository is licensed under the MIT License. For details, see [MIT License](https://opensource.org/licenses/MIT).
 
 **Please note:** The MIT License does not grant permission to use the trade names, trademarks, service marks, or product names of the project, except as required for reasonable and customary use in describing the origin of the work and reproducing the content of the NOTICE file.
 

test/test.search.ts

@@ -104,21 +104,21 @@ tap.test('should search products by basic search method', async () => {
   }
 });
 
-tap.test('should search products with searchWithLucene method', async () => {
+tap.test('should search products with search method', async () => {
   // Using the robust searchWithLucene method
-  const wirelessResults = await Product.searchWithLucene('wireless');
+    const wirelessResults = await Product.search('wireless');
     console.log(
-    `Found ${wirelessResults.length} products matching 'wireless' using searchWithLucene`,
+      `Found ${wirelessResults.length} products matching 'wireless' using search`,
     );
 
   expect(wirelessResults.length).toEqual(1);
   expect(wirelessResults[0].name).toEqual('AirPods');
 });
 
-tap.test('should search products by category with searchWithLucene', async () => {
+tap.test('should search products by category with search', async () => {
   // Using field-specific search with searchWithLucene
-  const kitchenResults = await Product.searchWithLucene('category:Kitchen');
-  console.log(`Found ${kitchenResults.length} products in Kitchen category using searchWithLucene`);
+  const kitchenResults = await Product.search('category:Kitchen');
+  console.log(`Found ${kitchenResults.length} products in Kitchen category using search`);
 
   expect(kitchenResults.length).toEqual(2);
   expect(kitchenResults[0].category).toEqual('Kitchen');
@@ -127,7 +127,7 @@ tap.test('should search products by category with searchWithLucene', async () =>
 
 tap.test('should search products with partial word matches', async () => {
   // Testing partial word matches
-  const proResults = await Product.searchWithLucene('Pro');
+  const proResults = await Product.search('Pro');
   console.log(`Found ${proResults.length} products matching 'Pro'`);
 
   // Should match both "MacBook Pro" and "professionals" in description
@@ -136,7 +136,7 @@ tap.test('should search products with partial word matches', async () => {
 
 tap.test('should search across multiple searchable fields', async () => {
   // Test searching across all searchable fields
-  const bookResults = await Product.searchWithLucene('book');
+  const bookResults = await Product.search('book');
   console.log(`Found ${bookResults.length} products matching 'book' across all fields`);
 
   // Should match "MacBook" in name and "Books" in category
@@ -145,8 +145,8 @@ tap.test('should search across multiple searchable fields', async () => {
 
 tap.test('should handle case insensitive searches', async () => {
   // Test case insensitivity
-  const electronicsResults = await Product.searchWithLucene('electronics');
-  const ElectronicsResults = await Product.searchWithLucene('Electronics');
+  const electronicsResults = await Product.search('electronics');
+  const ElectronicsResults = await Product.search('Electronics');
 
   console.log(`Found ${electronicsResults.length} products matching lowercase 'electronics'`);
   console.log(`Found ${ElectronicsResults.length} products matching capitalized 'Electronics'`);
@@ -166,14 +166,14 @@ tap.test('should demonstrate search fallback mechanisms', async () => {
 
   // Use a simpler term that should be found in descriptions
   // Avoid using "OR" operator which requires a text index
-  const results = await Product.searchWithLucene('high');
+  const results = await Product.search('high');
   console.log(`Found ${results.length} products matching 'high'`);
 
   // "High-speed blender" contains "high"
   expect(results.length).toBeGreaterThan(0);
 
   // Try another fallback example that won't need $text
-  const powerfulResults = await Product.searchWithLucene('powerful');
+  const powerfulResults = await Product.search('powerful');
   console.log(`Found ${powerfulResults.length} products matching 'powerful'`);
 
   // "Powerful laptop for professionals" contains "powerful"
@@ -192,6 +192,35 @@ tap.test('should explain the advantages of the integrated approach', async () =>
   expect(true).toEqual(true);
 });
 
+// Additional robustness tests
+tap.test('should search exact name using field:value', async () => {
+  const nameResults = await Product.search('name:AirPods');
+  expect(nameResults.length).toEqual(1);
+  expect(nameResults[0].name).toEqual('AirPods');
+});
+
+tap.test('should throw when searching non-searchable field', async () => {
+  let error: Error;
+  try {
+    await Product.search('price:129');
+  } catch (err) {
+    error = err as Error;
+  }
+  expect(error).toBeTruthy();
+  expect(error.message).toMatch(/not searchable/);
+});
+
+tap.test('empty query should return all products', async () => {
+  const allResults = await Product.search('');
+  expect(allResults.length).toEqual(8);
+});
+
+tap.test('should search multi-word term across fields', async () => {
+  const termResults = await Product.search('iPhone 12');
+  expect(termResults.length).toEqual(1);
+  expect(termResults[0].name).toEqual('iPhone 12');
+});
+
 tap.test('close database connection', async () => {
   await testDb.mongoDb.dropDatabase();
   await testDb.close();

ts/00_commitinfo_data.ts

@@ -3,6 +3,6 @@
  */
 export const commitinfo = {
   name: '@push.rocks/smartdata',
-  version: '5.8.2',
+  version: '5.9.2',
   description: 'An advanced library for NoSQL data organization and manipulation using TypeScript with support for MongoDB, data validation, collections, and custom data types.'
 }

ts/classes.collection.ts

@@ -1,7 +1,7 @@
 import * as plugins from './plugins.js';
 import { SmartdataDb } from './classes.db.js';
 import { SmartdataDbCursor } from './classes.cursor.js';
-import { SmartDataDbDoc, type IIndexOptions } from './classes.doc.js';
+import { SmartDataDbDoc, type IIndexOptions, getSearchableFields } from './classes.doc.js';
 import { SmartdataDbWatcher } from './classes.watcher.js';
 import { CollectionFactory } from './classes.collectionfactory.js';
 
@@ -128,6 +128,8 @@ export class SmartdataCollection<T> {
   public smartdataDb: SmartdataDb;
   public uniqueIndexes: string[] = [];
   public regularIndexes: Array<{field: string, options: IIndexOptions}> = [];
+  // flag to ensure text index is created only once
+  private textIndexCreated: boolean = false;
 
   constructor(classNameArg: string, smartDataDbArg: SmartdataDb) {
     // tell the collection where it belongs
@@ -153,6 +155,16 @@ export class SmartdataCollection<T> {
         console.log(`Successfully initiated Collection ${this.collectionName}`);
       }
       this.mongoDbCollection = this.smartdataDb.mongoDb.collection(this.collectionName);
+      // Auto-create a compound text index on all searchable fields
+      const searchableFields = getSearchableFields(this.collectionName);
+      if (searchableFields.length > 0 && !this.textIndexCreated) {
+        // Build a compound text index spec
+        const indexSpec: Record<string, 'text'> = {};
+        searchableFields.forEach(f => { indexSpec[f] = 'text'; });
+        // Cast to any to satisfy TypeScript IndexSpecification typing
+        await this.mongoDbCollection.createIndex(indexSpec as any, { name: 'smartdata_text_index' });
+        this.textIndexCreated = true;
+      }
     }
   }
 

ts/classes.doc.ts

@@ -61,6 +61,10 @@ export function getSearchableFields(className: string): string[] {
   }
   return Array.from(searchableFieldsMap.get(className));
 }
+// Escape user input for safe use in MongoDB regular expressions
+function escapeForRegex(input: string): string {
+  return input.replace(/[.*+?^${}()|[\]\\]/g, '\\$&');
+}
 
 /**
  * unique index - decorator to mark a unique index
@@ -326,56 +330,37 @@ export class SmartDataDbDoc<T extends TImplements, TImplements, TManager extends
   }
 
   /**
-   * Search documents using Lucene query syntax
-   * @param luceneQuery Lucene query string
+   * Search documents by text or field:value syntax, with safe regex fallback
+   * @param query A search term or field:value expression
    * @returns Array of matching documents
    */
   public static async search<T>(
     this: plugins.tsclass.typeFest.Class<T>,
-    luceneQuery: string,
+    query: string,
   ): Promise<T[]> {
-    const filter = (this as any).createSearchFilter(luceneQuery);
-    return await (this as any).getInstances(filter);
-  }
-
-  /**
-   * Search documents using Lucene query syntax with robust error handling
-   * @param luceneQuery The Lucene query string to search with
-   * @returns Array of matching documents
-   */
-  public static async searchWithLucene<T>(
-    this: plugins.tsclass.typeFest.Class<T>,
-    luceneQuery: string,
-  ): Promise<T[]> {
-    try {
     const className = (this as any).className || this.name;
     const searchableFields = getSearchableFields(className);
-
     if (searchableFields.length === 0) {
-        console.warn(
-          `No searchable fields defined for class ${className}, falling back to simple search`,
-        );
-        return (this as any).searchByTextAcrossFields(luceneQuery);
+      throw new Error(`No searchable fields defined for class ${className}`);
+    }
+    // field:value exact match (case-sensitive for non-regex fields)
+    const fv = query.match(/^(\w+):(.+)$/);
+    if (fv) {
+      const field = fv[1];
+      const value = fv[2];
+      if (!searchableFields.includes(field)) {
+        throw new Error(`Field '${field}' is not searchable for class ${className}`);
+      }
+      return await (this as any).getInstances({ [field]: value });
+    }
+    // safe regex across all searchable fields (case-insensitive)
+    const escaped = escapeForRegex(query);
+    const orConditions = searchableFields.map((field) => ({
+      [field]: { $regex: escaped, $options: 'i' },
+    }));
+    return await (this as any).getInstances({ $or: orConditions });
   }
 
-      // Simple term search optimization
-      if (
-        !luceneQuery.includes(':') &&
-        !luceneQuery.includes(' AND ') &&
-        !luceneQuery.includes(' OR ') &&
-        !luceneQuery.includes(' NOT ')
-      ) {
-        return (this as any).searchByTextAcrossFields(luceneQuery);
-      }
-
-      // Try to use the Lucene-to-MongoDB conversion
-      const filter = (this as any).createSearchFilter(luceneQuery);
-      return await (this as any).getInstances(filter);
-    } catch (error) {
-      console.error(`Error in searchWithLucene: ${error.message}`);
-      return (this as any).searchByTextAcrossFields(luceneQuery);
-    }
-  }
 
   /**
    * Search by text across all searchable fields (fallback method)