Add holistic table event processing benchmark

[FarhanAliRaza]

Add an order-management workload to measure backend event performance beyond counter increments. Six events filter and sort 1,000 dataclass rows, recompute totals, generate deltas, and serialize StateUpdate envelopes through Reflex's JSON encoder.

The benchmark warms state before timing and returns to the same filter and sort direction after each sample. A separate correctness test verifies serialized rows and totals across repeated batches. The README documents how to run it and the measurement boundary: processor lifecycle is included; hydration, network transport, database access, and browser rendering are excluded.

Related to #7056, which includes the original benchmark alongside runtime optimizations. This PR isolates the benchmark and adds repeatable samples, correctness assertions, and run documentation. Encoding is measured through json_dumps; changes confined to Socket.IO's encoder configuration require updating the benchmark's encoder too.

Validation

• Event tests: 3 passed.
• CodSpeed mode: 2 benchmarks passed, correctness test deselected.
• Commit hooks: Ruff formatting/checks, codespell, stub update, Pyright, and ty passed.
• Full uv run pyright reflex tests: passed.
• git diff --check: passed.

Repository-wide Ruff checks report unrelated existing issues under .states.bak/ and ignore/. The full unit suite was not run; this change only adds benchmark coverage and documentation.

No package source or public behavior changes; no changelog fragment included.

[chatgpt-codex-connector]

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[greptile-apps]

Confidence Score: 5/5

The PR appears safe to merge; the restored correctness test addresses the previous coverage concern and no new actionable issues remain.

Summary

Adds repeatable benchmarks for counter and order-table event processing through the in-memory backend pipeline.

• Introduces a 1,000-row table state with filtering, sorting, computed rows, and totals.
• Measures serialized StateUpdate envelopes for table events.
• Restores correctness coverage for serialized rows, sort direction, and totals across repeated batches.
• Documents benchmark execution and the measurement boundary.

_{Reviews (3) · Last reviewed commit: "Restore table delta correctness test and..."}

[codspeed]

Merging this PR will degrade performance by 0.55%

⚡ 1 improved benchmark
❌ 1 regressed benchmark
✅ 49 untouched benchmarks
🆕 2 new benchmarks
⏩ 9 skipped benchmarks¹

Warning

Please fix the performance issues or acknowledge them on CodSpeed.

Performance Changes

	Benchmark	BASE	HEAD	Efficiency
❌	test_import_reflex	9.7 ms	10.2 ms	-4.53%
⚡	test_isinstance_container[list_typeddict]	106.9 ms	103.2 ms	+3.6%
🆕	test_process_event[counter]	N/A	13.9 ms	N/A
🆕	test_process_event[table]	N/A	692.1 ms	N/A

Tip

Investigate this regression by commenting @codspeedbot fix this regression on this PR, or directly use the CodSpeed MCP with your agent.

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_{Comparing FarhanAliRaza:benchmark/holistic-table-events (fca0ca5) with main (1bc8936)}

Footnotes

1. 9 benchmarks were skipped, so the baseline results were used instead. If they were deleted from the codebase, click here and archive them to remove them from the performance reports. ↩

[cubic-dev-ai]

All reported issues were addressed across 3 files

<sub>Reply with feedback, questions, or to request a fix.

Re-trigger cubic</sub>

[cubic-dev-ai]

All reported issues were addressed across 3 files (changes from recent commits).

<sub>Reply with feedback, questions, or to request a fix.

Re-trigger cubic</sub>