Update iOS libs

Author: ospfranco

example/ios/Podfile.lock

@@ -2027,7 +2027,7 @@ EXTERNAL SOURCES:
 SPEC CHECKSUMS:
   FBLazyVector: 2e5b5553df729e080483373db6f045201ff4e6db
   hermes-engine: 273e30e7fb618279934b0b95ffab60ecedb7acf5
-  op-sqlite: 4651f571998e9739cd4fe16f033bd8a159279da6
+  op-sqlite: 710ca7b0c7eeef98e62fad9cd22c984f06749563
   OpServer: 9b3ebdeeb095950e760e3c39853cd06849421b35
   RCTDeprecation: c6b36da89aa26090c8684d29c2868dcca2cd4554
   RCTRequired: 1413a0844770d00fa1f1bb2da4680adfa8698065

example/src/tests/queries.ts

@@ -14,6 +14,7 @@ import {
   describe,
   it,
 } from '@op-engineering/op-test';
+import pkg from '../../package.json'
 
 describe('Queries tests', () => {
   let db: DB;
@@ -776,45 +777,49 @@ describe('Queries tests', () => {
     expect(res.rows).toDeepEqual([{user_version: 0}]);
   });
 
-  it('sqlite-vec extension: vector similarity search', async () => {
-    // Create a virtual table for storing vectors
-    await db.execute(`
-      CREATE VIRTUAL TABLE vec_items USING vec0(
-        embedding FLOAT[8]
-      )
-    `);
-
-    // Insert some sample vectors
-    await db.execute(`
-      INSERT INTO vec_items(rowid, embedding)
-      VALUES
-        (1, '[-0.200, 0.250, 0.341, -0.211, 0.645, 0.935, -0.316, -0.924]'),
-        (2, '[0.443, -0.501, 0.355, -0.771, 0.707, -0.708, -0.185, 0.362]'),
-        (3, '[0.716, -0.927, 0.134, 0.052, -0.669, 0.793, -0.634, -0.162]'),
-        (4, '[-0.710, 0.330, 0.656, 0.041, -0.990, 0.726, 0.385, -0.958]')
-    `);
-
-    // Perform KNN query to find the 2 nearest neighbors
-    const queryVector = '[0.890, 0.544, 0.825, 0.961, 0.358, 0.0196, 0.521, 0.175]';
-    const result = await db.execute(`
-      SELECT rowid, distance
-      FROM vec_items
-      WHERE embedding MATCH ?
-      ORDER BY distance
-      LIMIT 2
-    `, [queryVector]);
-
-    // Verify results
-    expect(result.rows.length).toEqual(2);
-    expect(result.rows[0]!.rowid).toEqual(2);
-    expect(result.rows[1]!.rowid).toEqual(1);
-    
-    // Verify distances are positive numbers
-    const distance0 = result.rows[0]!.distance as number;
-    const distance1 = result.rows[1]!.distance as number;
-    expect(typeof distance0).toEqual('number');
-    expect(distance0 > 0).toBeTruthy();
-    expect(distance1 > 0).toBeTruthy();
-  });
+
+ const sqliteVecEnabled = pkg?.['op-sqlite']?.sqliteVec === true;
+  if (sqliteVecEnabled) {
+    it('sqlite-vec extension: vector similarity search', async () => {
+      // Create a virtual table for storing vectors
+      await db.execute(`
+        CREATE VIRTUAL TABLE vec_items USING vec0(
+          embedding FLOAT[8]
+        )
+      `);
+  
+      // Insert some sample vectors
+      await db.execute(`
+        INSERT INTO vec_items(rowid, embedding)
+        VALUES
+          (1, '[-0.200, 0.250, 0.341, -0.211, 0.645, 0.935, -0.316, -0.924]'),
+          (2, '[0.443, -0.501, 0.355, -0.771, 0.707, -0.708, -0.185, 0.362]'),
+          (3, '[0.716, -0.927, 0.134, 0.052, -0.669, 0.793, -0.634, -0.162]'),
+          (4, '[-0.710, 0.330, 0.656, 0.041, -0.990, 0.726, 0.385, -0.958]')
+      `);
+  
+      // Perform KNN query to find the 2 nearest neighbors
+      const queryVector = '[0.890, 0.544, 0.825, 0.961, 0.358, 0.0196, 0.521, 0.175]';
+      const result = await db.execute(`
+        SELECT rowid, distance
+        FROM vec_items
+        WHERE embedding MATCH ?
+        ORDER BY distance
+        LIMIT 2
+      `, [queryVector]);
+  
+      // Verify results
+      expect(result.rows.length).toEqual(2);
+      expect(result.rows[0]!.rowid).toEqual(2);
+      expect(result.rows[1]!.rowid).toEqual(1);
+      
+      // Verify distances are positive numbers
+      const distance0 = result.rows[0]!.distance as number;
+      const distance1 = result.rows[1]!.distance as number;
+      expect(typeof distance0).toEqual('number');
+      expect(distance0 > 0).toBeTruthy();
+      expect(distance1 > 0).toBeTruthy();
+    });
+  }
 
 });

ios/sqlitevec.xcframework/ios-arm64/sqlitevec.framework/sqlitevec

@@ -6,6 +6,7 @@ const packageJson = JSON.parse(fs.readFileSync('./example/package.json'));
 // Modify the op-sqlite.sqlcipher key to true
 packageJson['op-sqlite']['libsql'] = true;
 packageJson['op-sqlite']['sqlcipher'] = false;
+packageJSON['op-sqlite']['sqliteVec'] = false;
 
 // Save the updated package.json file
 fs.writeFileSync(

ios/sqlitevec.xcframework/ios-arm64_x86_64-simulator/sqlitevec.framework/sqlitevec

@@ -0,0 +1,24 @@
+#!/bin/bash
+
+set -e
+
+# Change to the iOS directory
+cd "$(dirname "$0")/../ios"
+
+echo "📦 Updating sqlitevec.xcframework binaries..."
+
+# Device (ios-arm64)
+echo "🔨 Processing device binary (ios-arm64)..."
+cp vec0-ios-aarch64.dylib sqlitevec
+install_name_tool -id @rpath/sqlitevec.framework/sqlitevec sqlitevec
+codesign -f -s - --identifier com.op.sqlitevec sqlitevec
+mv sqlitevec sqlitevec.xcframework/ios-arm64/sqlitevec.framework/
+
+# Simulator (ios-arm64_x86_64-simulator) - create fat binary
+echo "🔨 Processing simulator binaries (arm64 + x86_64)..."
+lipo -create vec0-iossimulator-aarch64.dylib vec0-iossimulator-x86_64.dylib -output sqlitevec
+install_name_tool -id @rpath/sqlitevec.framework/sqlitevec sqlitevec
+codesign -f -s - --identifier com.op.sqlitevec sqlitevec
+mv sqlitevec sqlitevec.xcframework/ios-arm64_x86_64-simulator/sqlitevec.framework/
+
+echo "✅ sqlitevec.xcframework updated successfully!"