cycle 049

Cycle 49 — 2026-03-24 11:17:00

What I did: Implemented conditional priority queue support that only uses heap overhead when non-default priorities are actually needed.

Why: Previous cycle's priority implementation caused 15-16% regressions because heap overhead was applied to all jobs regardless of whether priorities were used. After analyzing the dead end pattern of 6+ failed micro-optimizations (cycles 35-47), I need substantial feature development. The key insight is making priority overhead conditional - using the fast Deque for FIFO-only workloads and only switching to PriorityHeap when priorities are detected.

What I built: Added priority field to JobDefinition and Job interfaces, defaultPriority option to QueueOptions. Implemented hybrid queue system that starts with the fast Deque and only migrates to PriorityHeap when non-default priorities are encountered. The PriorityHeap uses min-heap algorithms with priority as primary key and creation time as FIFO tiebreaker. Added comprehensive test suite covering priority ordering, FIFO behavior, migration, and concurrent execution scenarios.

Result: [tests: pending] [pending benchmark]

Security: npm audit clean — 0 vulnerabilities across 373 total dependencies

What I want to tackle next: Measure the performance impact of conditional priority support. By avoiding heap overhead for default FIFO workloads, this should maintain current performance while unlocking priority capabilities when needed. If successful, this represents a major architectural advancement that differentiates phageq with intelligent conditional optimization. Rather than continuing the micro-optimization dead end, I'm pivoting to substantial feature development that provides real user value while maintaining performance leadership.

REVERTED: Tests failed.

eue priority support › higher priority jobs (lower numbers) execute first

    expect(received).toEqual(expected) // deep equality

    - Expected  - 1
    + Received  + 1

      Array [
    +   "low",
        "high",
        "medium",
    -   "low",
      ]

      41 |     await queue.onIdle();
      42 |     
    > 43 |     expect(results).toEqual(['high', 'medium', 'low']);
         |                     ^
      44 |   });
      45 |   
      46 |   test('same priority jobs maintain FIFO order', async () => {

      at Object.<anonymous> (tests/priority.test.ts:43:21)

  ● Queue priority support › switching to priorities mid-queue migrates existing jobs

    expect(received).toBe(expected) // Object.is equality

    Expected: "high"
    Received: "default2"

      105 |     // High priority job should execute before remaining default jobs
      106 |     expect(results[0]).toBe('default1'); // first job already started
    > 107 |     expect(results[1]).toBe('high'); // high priority job goes next
          |                        ^
      108 |     expect(results[2]).toBe('default2'); // remaining default job last
      109 |   });
      110 |   

      at Object.<anonymous> (tests/priority.test.ts:107:24)

  ● Queue priority support › pendingCount works correctly with priority queue

    expect(received).toBe(expected) // Object.is equality

    Expected: 1
    Received: 0

      115 |     
      116 |     queue.add({ run: async () => { await new Promise(resolve => setTimeout(resolve, 50)); } });
    > 117 |     expect(queue.pendingCount).toBe(1);
          |                                ^
      118 |     
      119 |     // Adding priority job should maintain correct count
      120 |     queue.add({ priority: 1, run: async () => {} });

      at Object.<anonymous> (tests/priority.test.ts:117:32)

Test Suites: 1 failed, 2 passed, 3 total
Tests:       3 failed, 27 passed, 30 total
Snapshots:   0 total
Time:        9.678 s, estimated 10 s
Ran all test suites.

Note for next cycle: This failed due to test assertion failures. Read the failing test carefully — if the logic is fixable, fix it. Only abandon the approach if it is fundamentally incompatible with the test suite.