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⚡️ Speed up function nextAvailableRowInContainer by 336%#50

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⚡️ Speed up function nextAvailableRowInContainer by 336%#50
codeflash-ai[bot] wants to merge 1 commit intoreleasefrom
codeflash/optimize-nextAvailableRowInContainer-ml28h6t7

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@codeflash-ai codeflash-ai bot commented Jan 31, 2026

📄 336% (3.36x) speedup for nextAvailableRowInContainer in app/client/src/entities/Widget/utils.ts

⏱️ Runtime : 1.64 milliseconds 375 microseconds (best of 10 runs)

📝 Explanation and details

The optimized code achieves a 335% speedup (from 1.64ms to 375μs) by eliminating expensive intermediate data structure allocations and streamlining the filtering logic.

Key Performance Improvements:

  1. Removed omitBy() allocation: The original creates an entirely new filtered object by copying all non-modal widgets, which involves object allocation and property copying overhead.

  2. Eliminated Object.values() array creation: Converting the filtered object to an array creates another intermediate data structure that must be allocated and populated.

  3. Replaced reduce() with direct iteration: The for...in loop directly accesses widget properties without creating intermediate collections, and the early continue statements skip irrelevant widgets immediately.

  4. Consolidated filter conditions: By combining both filter checks (modal widget type and parent ID matching) in a single conditional with early exit, the code avoids unnecessary property access and comparison operations.

Why This Matters:

The optimization is particularly effective for the test scenarios shown:

  • Small datasets (1-10 widgets): 200-800% faster due to eliminated allocations dominating execution time
  • Large datasets (500+ widgets): 176-896% faster as the single-pass approach scales better, avoiding O(n) memory allocations
  • Modal-heavy workloads: Even with 950 modal widgets, performance remains consistent since the continue statement efficiently skips them

The direct iteration approach maintains the same O(n) time complexity but with significantly better constant factors, making this optimization beneficial across all workload sizes while preserving identical functional behavior.

Correctness verification report:

Test Status
⚙️ Existing Unit Tests 🔘 None Found
🌀 Generated Regression Tests 32 Passed
⏪ Replay Tests 🔘 None Found
🔎 Concolic Coverage Tests 🔘 None Found
📊 Tests Coverage 100.0%
🌀 Click to see Generated Regression Tests
// @ts-nocheck
// imports
import { nextAvailableRowInContainer } from '../src/entities/Widget/utils';

// unit tests
describe('nextAvailableRowInContainer', () => {
    // Basic Test Cases
    describe('Basic functionality', () => {
        test('should handle normal input and ignore MODAL_WIDGETs', () => {
            // Multiple widgets in the same container; the function should pick the largest bottomRow
            // among widgets whose parentId matches and are not MODAL_WIDGET, then return that + 1.
            const canvasWidgets = {
                w1: { parentId: 'container1', bottomRow: 5, type: 'WIDGET' },
                w2: { parentId: 'container1', bottomRow: 10, type: 'WIDGET' },
                w3: { parentId: 'container2', bottomRow: 20, type: 'WIDGET' }, // different container
                w4: { parentId: 'container1', bottomRow: 8, type: 'WIDGET' },
                wModal: { parentId: 'container1', bottomRow: 1000, type: 'MODAL_WIDGET' }, // should be ignored
            };

            const next = nextAvailableRowInContainer('container1', canvasWidgets);
            expect(next).toBe(11); // max bottomRow among w1,w2,w4 is 10 => 10 + 1 = 11
        });

        test('should return 1 when there are no widgets for the container', () => {
            // Empty canvas or none matching parentId should give first available row 1.
            const canvasWidgets = {
                a: { parentId: 'other', bottomRow: 3, type: 'WIDGET' },
                b: { parentId: 'other2', bottomRow: 7, type: 'WIDGET' },
            };

            expect(nextAvailableRowInContainer('container-missing', canvasWidgets)).toBe(1);  // 15.1μs -> 2.33μs (548% faster)
            expect(nextAvailableRowInContainer('other', {})).toBe(1); // even if container exists but no widgets passed
        });
    });

    // Edge Test Cases
    describe('Edge cases', () => {
        test('should ignore widgets with undefined or non-greater bottomRow values', () => {
            // bottomRow undefined or 0 or negative values which are not greater than initial 0 should be ignored.
            const canvasWidgets = {
                u1: { parentId: 'p', /* bottomRow missing */ type: 'WIDGET' },
                u2: { parentId: 'p', bottomRow: 0, type: 'WIDGET' }, // 0 is not greater than initial 0
                u3: { parentId: 'p', bottomRow: -5, type: 'WIDGET' }, // negative ignored
            };

            // No bottomRow > 0, so next available row should be initial (0) + 1 = 1
            expect(nextAvailableRowInContainer('p', canvasWidgets)).toBe(1);  // 4.83μs -> 772ns (526% faster)
        });

        test('should treat numeric strings as numbers in comparison (JS coercion)', () => {
            // JS will coerce '15' to 15 when comparing with >
            const canvasWidgets = {
                s1: { parentId: 'x', bottomRow: '15', type: 'WIDGET' },
                s2: { parentId: 'x', bottomRow: 10, type: 'WIDGET' },
            };

            // '15' coerces to 15 which is the maximum -> +1 = 16
            expect(nextAvailableRowInContainer('x', canvasWidgets)).toBe(16);  // 5.42μs -> 769ns (604% faster)
        });

        test('should handle floating point bottomRow values correctly', () => {
            const canvasWidgets = {
                f1: { parentId: 'floaty', bottomRow: 7.2, type: 'WIDGET' },
                f2: { parentId: 'floaty', bottomRow: 3.9, type: 'WIDGET' },
            };

            // Maximum is 7.2, so next available is 8.2; use toBeCloseTo for floating point
            expect(nextAvailableRowInContainer('floaty', canvasWidgets)).toBeCloseTo(8.2);  // 3.99μs -> 726ns (450% faster)
        });

        test('should throw if canvasWidgets contains non-object entries (null) because predicate accesses .type', () => {
            // The implementation uses widget.type in omitBy predicate; a null value will cause a TypeError.
            const canvasWidgets = {
                bad1: null,
            };

            expect(() => nextAvailableRowInContainer('any', canvasWidgets)).toThrow(TypeError);
        });

        test('should handle very large bottomRow values up to Number.MAX_SAFE_INTEGER - 1', () => {
            // Using a very large bottomRow to ensure addition +1 is handled predictably.
            const maxMinusOne = Number.MAX_SAFE_INTEGER - 1;
            const canvasWidgets = {
                big: { parentId: 'bigContainer', bottomRow: maxMinusOne, type: 'WIDGET' },
                modalBig: { parentId: 'bigContainer', bottomRow: Number.MAX_SAFE_INTEGER, type: 'MODAL_WIDGET' }, // ignored
            };

            // Expected = maxMinusOne + 1 => Number.MAX_SAFE_INTEGER
            expect(nextAvailableRowInContainer('bigContainer', canvasWidgets)).toBe(Number.MAX_SAFE_INTEGER);  // 10.4μs -> 1.65μs (528% faster)
        });
    });

    // Large Scale Test Cases
    describe('Performance tests', () => {
        test('should handle large inputs efficiently (500 entries)', () => {
            // Build a reasonably large canvasWidgets object (500 entries).
            // Pattern:
            // - If i % 3 === 0 => belongs to 'containerLarge' with type 'WIDGET' and bottomRow = i (counts)
            // - If i % 3 === 1 => belongs to 'other' (ignored for containerLarge)
            // - If i % 3 === 2 => belongs to 'containerLarge' but type 'MODAL_WIDGET' (excluded)
            const canvasWidgets = {};
            const total = 500;
            for (let i = 0; i < total; i++) {
                if (i % 3 === 0) {
                    canvasWidgets[`w_${i}`] = {
                        parentId: 'containerLarge',
                        bottomRow: i,
                        type: 'WIDGET',
                    };
                } else if (i % 3 === 1) {
                    canvasWidgets[`w_${i}`] = {
                        parentId: 'other',
                        bottomRow: i,
                        type: 'WIDGET',
                    };
                } else {
                    canvasWidgets[`w_${i}`] = {
                        parentId: 'containerLarge',
                        bottomRow: i,
                        type: 'MODAL_WIDGET', // should be ignored for containerLarge
                    };
                }
            }

            // From the pattern, the largest bottomRow for containerLarge and type WIDGET is the largest i < 500 where i % 3 === 0
            // That is 498 (since 498 % 3 === 0 and 498 < 500). So expected is 498 + 1 = 499.
            const result = nextAvailableRowInContainer('containerLarge', canvasWidgets);
            expect(result).toBe(499);  // 360μs -> 36.2μs (896% faster)
        });
    });
});
// @ts-nocheck
import { nextAvailableRowInContainer } from '../src/entities/Widget/utils';

describe('nextAvailableRowInContainer', () => {
  // Basic Test Cases
  describe('Basic functionality', () => {
    test('should return 1 when container has no children', () => {
      const canvasWidgets = {};
      const result = nextAvailableRowInContainer('container1', canvasWidgets);
      expect(result).toBe(1);  // 5.13μs -> 1.15μs (346% faster)
    });

    test('should return bottomRow + 1 of the only child widget', () => {
      const canvasWidgets = {
        widget1: {
          id: 'widget1',
          type: 'BUTTON_WIDGET',
          parentId: 'container1',
          bottomRow: 5,
        },
      };
      const result = nextAvailableRowInContainer('container1', canvasWidgets);
      expect(result).toBe(6);  // 10.9μs -> 844ns (1191% faster)
    });

    test('should return bottomRow + 1 of the widget with highest bottomRow', () => {
      const canvasWidgets = {
        widget1: {
          id: 'widget1',
          type: 'BUTTON_WIDGET',
          parentId: 'container1',
          bottomRow: 5,
        },
        widget2: {
          id: 'widget2',
          type: 'TEXT_WIDGET',
          parentId: 'container1',
          bottomRow: 10,
        },
        widget3: {
          id: 'widget3',
          type: 'INPUT_WIDGET',
          parentId: 'container1',
          bottomRow: 8,
        },
      };
      const result = nextAvailableRowInContainer('container1', canvasWidgets);
      expect(result).toBe(11);  // 5.36μs -> 688ns (678% faster)
    });

    test('should ignore widgets from different containers', () => {
      const canvasWidgets = {
        widget1: {
          id: 'widget1',
          type: 'BUTTON_WIDGET',
          parentId: 'container1',
          bottomRow: 5,
        },
        widget2: {
          id: 'widget2',
          type: 'TEXT_WIDGET',
          parentId: 'container2',
          bottomRow: 20,
        },
      };
      const result = nextAvailableRowInContainer('container1', canvasWidgets);
      expect(result).toBe(6);  // 4.08μs -> 1.22μs (236% faster)
    });

    test('should exclude MODAL_WIDGET types from calculation', () => {
      const canvasWidgets = {
        widget1: {
          id: 'widget1',
          type: 'BUTTON_WIDGET',
          parentId: 'container1',
          bottomRow: 5,
        },
        widget2: {
          id: 'widget2',
          type: 'MODAL_WIDGET',
          parentId: 'container1',
          bottomRow: 50,
        },
      };
      const result = nextAvailableRowInContainer('container1', canvasWidgets);
      expect(result).toBe(6);  // 3.60μs -> 1.21μs (199% faster)
    });

    test('should return 1 when container has only MODAL_WIDGET children', () => {
      const canvasWidgets = {
        widget1: {
          id: 'widget1',
          type: 'MODAL_WIDGET',
          parentId: 'container1',
          bottomRow: 50,
        },
      };
      const result = nextAvailableRowInContainer('container1', canvasWidgets);
      expect(result).toBe(1);  // 2.76μs -> 1.09μs (153% faster)
    });

    test('should handle multiple widgets with same bottomRow', () => {
      const canvasWidgets = {
        widget1: {
          id: 'widget1',
          type: 'BUTTON_WIDGET',
          parentId: 'container1',
          bottomRow: 10,
        },
        widget2: {
          id: 'widget2',
          type: 'TEXT_WIDGET',
          parentId: 'container1',
          bottomRow: 10,
        },
      };
      const result = nextAvailableRowInContainer('container1', canvasWidgets);
      expect(result).toBe(11);  // 4.10μs -> 1.25μs (229% faster)
    });
  });

  // Edge Test Cases
  describe('Edge cases', () => {
    test('should handle widget with bottomRow of 0', () => {
      const canvasWidgets = {
        widget1: {
          id: 'widget1',
          type: 'BUTTON_WIDGET',
          parentId: 'container1',
          bottomRow: 0,
        },
      };
      const result = nextAvailableRowInContainer('container1', canvasWidgets);
      expect(result).toBe(1);  // 3.83μs -> 1.20μs (219% faster)
    });

    test('should handle widget with negative bottomRow', () => {
      const canvasWidgets = {
        widget1: {
          id: 'widget1',
          type: 'BUTTON_WIDGET',
          parentId: 'container1',
          bottomRow: -5,
        },
      };
      const result = nextAvailableRowInContainer('container1', canvasWidgets);
      expect(result).toBe(1);  // 10.1μs -> 1.13μs (797% faster)
    });

    test('should handle widget with very large bottomRow', () => {
      const canvasWidgets = {
        widget1: {
          id: 'widget1',
          type: 'BUTTON_WIDGET',
          parentId: 'container1',
          bottomRow: 999999,
        },
      };
      const result = nextAvailableRowInContainer('container1', canvasWidgets);
      expect(result).toBe(1000000);  // 8.88μs -> 1.13μs (685% faster)
    });

    test('should handle missing bottomRow property as falsy value', () => {
      const canvasWidgets = {
        widget1: {
          id: 'widget1',
          type: 'BUTTON_WIDGET',
          parentId: 'container1',
        },
        widget2: {
          id: 'widget2',
          type: 'TEXT_WIDGET',
          parentId: 'container1',
          bottomRow: 5,
        },
      };
      const result = nextAvailableRowInContainer('container1', canvasWidgets);
      expect(result).toBe(6);  // 4.11μs -> 1.30μs (215% faster)
    });

    test('should handle missing parentId property', () => {
      const canvasWidgets = {
        widget1: {
          id: 'widget1',
          type: 'BUTTON_WIDGET',
          bottomRow: 50,
        },
        widget2: {
          id: 'widget2',
          type: 'TEXT_WIDGET',
          parentId: 'container1',
          bottomRow: 5,
        },
      };
      const result = nextAvailableRowInContainer('container1', canvasWidgets);
      expect(result).toBe(6);  // 7.03μs -> 1.23μs (473% faster)
    });

    test('should handle undefined widget properties', () => {
      const canvasWidgets = {
        widget1: {
          id: 'widget1',
          type: 'BUTTON_WIDGET',
          parentId: 'container1',
          bottomRow: undefined,
        },
        widget2: {
          id: 'widget2',
          type: 'TEXT_WIDGET',
          parentId: 'container1',
          bottomRow: 5,
        },
      };
      const result = nextAvailableRowInContainer('container1', canvasWidgets);
      expect(result).toBe(6);  // 4.87μs -> 1.25μs (291% faster)
    });

    test('should handle null widget properties', () => {
      const canvasWidgets = {
        widget1: {
          id: 'widget1',
          type: 'BUTTON_WIDGET',
          parentId: 'container1',
          bottomRow: null,
        },
        widget2: {
          id: 'widget2',
          type: 'TEXT_WIDGET',
          parentId: 'container1',
          bottomRow: 5,
        },
      };
      const result = nextAvailableRowInContainer('container1', canvasWidgets);
      expect(result).toBe(6);  // 4.01μs -> 1.23μs (225% faster)
    });

    test('should handle empty parentContainerId string', () => {
      const canvasWidgets = {
        widget1: {
          id: 'widget1',
          type: 'BUTTON_WIDGET',
          parentId: '',
          bottomRow: 5,
        },
      };
      const result = nextAvailableRowInContainer('', canvasWidgets);
      expect(result).toBe(6);  // 3.32μs -> 1.15μs (189% faster)
    });

    test('should handle special characters in parentContainerId', () => {
      const containerId = 'container-@#$%_1';
      const canvasWidgets = {
        widget1: {
          id: 'widget1',
          type: 'BUTTON_WIDGET',
          parentId: containerId,
          bottomRow: 5,
        },
      };
      const result = nextAvailableRowInContainer(containerId, canvasWidgets);
      expect(result).toBe(6);  // 3.05μs -> 1.18μs (159% faster)
    });

    test('should handle mix of MODAL_WIDGET and other types', () => {
      const canvasWidgets = {
        modal1: {
          id: 'modal1',
          type: 'MODAL_WIDGET',
          parentId: 'container1',
          bottomRow: 100,
        },
        modal2: {
          id: 'modal2',
          type: 'MODAL_WIDGET',
          parentId: 'container1',
          bottomRow: 200,
        },
        widget1: {
          id: 'widget1',
          type: 'BUTTON_WIDGET',
          parentId: 'container1',
          bottomRow: 10,
        },
        modal3: {
          id: 'modal3',
          type: 'MODAL_WIDGET',
          parentId: 'container1',
          bottomRow: 150,
        },
      };
      const result = nextAvailableRowInContainer('container1', canvasWidgets);
      expect(result).toBe(11);  // 4.58μs -> 1.24μs (268% faster)
    });

    test('should handle widgets with only MODAL_WIDGET in different container', () => {
      const canvasWidgets = {
        modal1: {
          id: 'modal1',
          type: 'MODAL_WIDGET',
          parentId: 'container1',
          bottomRow: 100,
        },
        widget1: {
          id: 'widget1',
          type: 'BUTTON_WIDGET',
          parentId: 'container2',
          bottomRow: 10,
        },
      };
      const result = nextAvailableRowInContainer('container1', canvasWidgets);
      expect(result).toBe(1);  // 4.14μs -> 1.05μs (294% faster)
    });
  });

  // Large Scale Test Cases
  describe('Performance tests', () => {
    test('should handle 500 widgets efficiently', () => {
      const canvasWidgets = {};
      for (let i = 0; i < 500; i++) {
        canvasWidgets[`widget${i}`] = {
          id: `widget${i}`,
          type: i % 10 === 0 ? 'MODAL_WIDGET' : 'BUTTON_WIDGET',
          parentId: 'container1',
          bottomRow: i,
        };
      }
      const startTime = performance.now();
      const result = nextAvailableRowInContainer('container1', canvasWidgets);
      const endTime = performance.now();
      expect(result).toBeGreaterThan(0);  // 412μs -> 42.1μs (880% faster)
      expect(endTime - startTime).toBeLessThan(100);
    });

    test('should handle 800 widgets with mixed containers', () => {
      const canvasWidgets = {};
      for (let i = 0; i < 800; i++) {
        const containerId = i % 4 === 0 ? 'container1' : `container${i % 3}`;
        canvasWidgets[`widget${i}`] = {
          id: `widget${i}`,
          type: i % 7 === 0 ? 'MODAL_WIDGET' : 'TEXT_WIDGET',
          parentId: containerId,
          bottomRow: i,
        };
      }
      const startTime = performance.now();
      const result = nextAvailableRowInContainer('container1', canvasWidgets);
      const endTime = performance.now();
      expect(result).toBe(201);
      expect(endTime - startTime).toBeLessThan(100);
    });

    test('should handle 950 MODAL_WIDGET widgets that should all be ignored', () => {
      const canvasWidgets = {};
      for (let i = 0; i < 950; i++) {
        canvasWidgets[`modal${i}`] = {
          id: `modal${i}`,
          type: 'MODAL_WIDGET',
          parentId: 'container1',
          bottomRow: i,
        };
      }
      canvasWidgets['widget1'] = {
        id: 'widget1',
        type: 'BUTTON_WIDGET',
        parentId: 'container1',
        bottomRow: 5,
      };
      const startTime = performance.now();
      const result = nextAvailableRowInContainer('container1', canvasWidgets);
      const endTime = performance.now();
      expect(result).toBe(6);  // 91.7μs -> 92.0μs (0.329% slower)
      expect(endTime - startTime).toBeLessThan(100);
    });

    test('should handle 500 containers with widgets', () => {
      const canvasWidgets = {};
      for (let i = 0; i < 500; i++) {
        canvasWidgets[`widget${i}`] = {
          id: `widget${i}`,
          type: 'BUTTON_WIDGET',
          parentId: `container${i}`,
          bottomRow: i * 2,
        };
      }
      const startTime = performance.now();
      const result = nextAvailableRowInContainer('container250', canvasWidgets);
      const endTime = performance.now();
      expect(result).toBe(501);  // 155μs -> 55.6μs (179% faster)
      expect(endTime - startTime).toBeLessThan(100);
    });

    test('should handle deeply nested widget data structures', () => {
      const canvasWidgets = {};
      for (let i = 0; i < 600; i++) {
        canvasWidgets[`widget${i}`] = {
          id: `widget${i}`,
          type: 'BUTTON_WIDGET',
          parentId: 'container1',
          bottomRow: i,
          extra: { nested: { data: { deeply: { placed: { here: 'value' } } } } },
        };
      }
      const startTime = performance.now();
      const result = nextAvailableRowInContainer('container1', canvasWidgets);
      const endTime = performance.now();
      expect(result).toBe(600);  // 200μs -> 72.5μs (176% faster)
      expect(endTime - startTime).toBeLessThan(100);
    });

    test('should efficiently find max bottomRow among 750 widgets', () => {
      const canvasWidgets = {};
      for (let i = 0; i < 750; i++) {
        canvasWidgets[`widget${i}`] = {
          id: `widget${i}`,
          type: 'TEXT_WIDGET',
          parentId: i === 749 ? 'container1' : 'other',
          bottomRow: 1000,
        };
      }
      canvasWidgets['maxWidget'] = {
        id: 'maxWidget',
        type: 'BUTTON_WIDGET',
        parentId: 'container1',
        bottomRow: 1000,
      };
      const startTime = performance.now();
      const result = nextAvailableRowInContainer('container1', canvasWidgets);
      const endTime = performance.now();
      expect(result).toBe(1001);  // 262μs -> 47.9μs (448% faster)
      expect(endTime - startTime).toBeLessThan(100);
    });
  });
});

To edit these changes git checkout codeflash/optimize-nextAvailableRowInContainer-ml28h6t7 and push.

Codeflash

The optimized code achieves a **335% speedup** (from 1.64ms to 375μs) by eliminating expensive intermediate data structure allocations and streamlining the filtering logic.

**Key Performance Improvements:**

1. **Removed `omitBy()` allocation**: The original creates an entirely new filtered object by copying all non-modal widgets, which involves object allocation and property copying overhead.

2. **Eliminated `Object.values()` array creation**: Converting the filtered object to an array creates another intermediate data structure that must be allocated and populated.

3. **Replaced `reduce()` with direct iteration**: The `for...in` loop directly accesses widget properties without creating intermediate collections, and the early `continue` statements skip irrelevant widgets immediately.

4. **Consolidated filter conditions**: By combining both filter checks (modal widget type and parent ID matching) in a single conditional with early exit, the code avoids unnecessary property access and comparison operations.

**Why This Matters:**

The optimization is particularly effective for the test scenarios shown:
- **Small datasets** (1-10 widgets): 200-800% faster due to eliminated allocations dominating execution time
- **Large datasets** (500+ widgets): 176-896% faster as the single-pass approach scales better, avoiding O(n) memory allocations
- **Modal-heavy workloads**: Even with 950 modal widgets, performance remains consistent since the `continue` statement efficiently skips them

The direct iteration approach maintains the same O(n) time complexity but with significantly better constant factors, making this optimization beneficial across all workload sizes while preserving identical functional behavior.
@codeflash-ai codeflash-ai bot requested a review from misrasaurabh1 January 31, 2026 11:33
@codeflash-ai codeflash-ai bot added the ⚡️ codeflash Optimization PR opened by Codeflash AI label Jan 31, 2026
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