LCORE-2493: final touches for tokenizer benchmark

[tisnik]

Description

LCORE-2493: final touches for tokenizer benchmark

Type of change

• Refactor
• New feature
• Bug fix
• CVE fix
• Optimization
• Documentation Update
• Configuration Update
• Bump-up service version
• Bump-up dependent library
• Bump-up library or tool used for development (does not change the final image)
• CI configuration change
• Konflux configuration change
• Unit tests improvement
• Integration tests improvement
• End to end tests improvement
• Benchmarks improvement

Tools used to create PR

• Assisted-by: N/A
• Generated by: N/A

Related Tickets & Documents

• Related Issue #LCORE-2493

Summary by CodeRabbit

• Tests

  • Extended benchmark suite with tests for larger input files (up to 10,000 lines) covering multiple formats: JSON, YAML, Python, JavaScript, XML, and text samples.

• Documentation

  • Updated and added benchmark performance reports reflecting expanded test coverage from 22 to 28 total tests, including new metrics for larger-scale inputs.

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ℹ️ Review info

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Run ID: 011294da-3f1c-47a3-970e-48c7d9284682

📥 Commits

Reviewing files that changed from the base of the PR and between 2dea647 and 9d3dbf9.

📒 Files selected for processing (6)

• tests/benchmarks/data/js_10000_lines.js
• tests/benchmarks/data/json_10000_lines.json
• tests/benchmarks/data/python_10000_lines.py
• tests/benchmarks/data/python_1000_lines.py
• tests/benchmarks/data/xml_10000_lines.xml
• tests/benchmarks/data/yaml_10000_lines.yml

Walkthrough

This PR extends the tokenizer benchmarking suite by adding test coverage for larger input scales (10,000-line files and highly repeated text), executes those tests, and commits the resulting performance reports alongside minor cleanup.

Changes

Tokenizer benchmark expansion for larger inputs

Layer / File(s)	Summary
Benchmark test cases for larger inputs tests/benchmarks/test_token_estimator.py	Six new test functions benchmark tokenizer token estimation for JSON, YAML, JavaScript, Python, and XML files at 10,000 lines each. One additional test benchmarks lorem ipsum text repeated 2,000 times. All follow the existing benchmark_file_tokenization() or benchmark(estimate_tokens, ...) pattern.
Benchmark result reports docs/benchmarks/tokenizer/10_lines.txt, docs/benchmarks/tokenizer/100_lines.txt, docs/benchmarks/tokenizer/1000_lines.txt, docs/benchmarks/tokenizer/10000_lines.txt, docs/benchmarks/tokenizer/all.txt	Five benchmark result files document measured performance across all tokenizer tests. The summary reports timing and throughput metrics for 10, 100, 1,000, and 10,000-line scales, with all.txt consolidating results from all 28 tests executed in 23.43 seconds.
Test data cleanup tests/benchmarks/data/python_1000_lines.py	Removed a section comment following document ingestion and simplified the print_rag_response() helper by removing its docstring in favor of a brief inline comment.

Estimated code review effort

🎯 2 (Simple) | ⏱️ ~10 minutes

Possibly related PRs

• lightspeed-core/lightspeed-stack#1889: Extends tests/benchmarks/test_token_estimator.py with new benchmark test cases for token estimation at 100-line scale, following the same file-based fixture pattern.

🚥 Pre-merge checks | ✅ 4 | ❌ 1

❌ Failed checks (1 inconclusive)

Check name	Status	Explanation	Resolution
Title check	❓ Inconclusive	The title 'LCORE-2493: final touches for tokenizer benchmark' is vague and generic, using non-descriptive terms like 'final touches' that don't convey specific information about the changeset.	Consider a more specific title that describes the actual changes, such as 'Add tokenizer benchmark tests for 10,000-line inputs and update benchmark results' to better communicate the primary changes.

✅ Passed checks (4 passed)

Check name	Status	Explanation
Description Check	✅ Passed	Check skipped - CodeRabbit’s high-level summary is enabled.
Docstring Coverage	✅ Passed	Docstring coverage is 94.44% which is sufficient. The required threshold is 80.00%.
Linked Issues check	✅ Passed	Check skipped because no linked issues were found for this pull request.
Out of Scope Changes check	✅ Passed	Check skipped because no linked issues were found for this pull request.

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Actionable comments posted: 1

🤖 Prompt for all review comments with AI agents

Verify each finding against current code. Fix only still-valid issues, skip the
rest with a brief reason, keep changes minimal, and validate.

Inline comments:
In `@tests/benchmarks/data/python_1000_lines.py`:
- Around line 811-814: Restore a proper docstring for the public function
print_rag_response to satisfy pydocstyle D103: replace the inline comment with a
triple-quoted docstring immediately below the def print_rag_response(response):
line that succinctly describes the function's purpose (e.g., "Print a RAG-style
response to stdout"), documents the parameter `response` and its expected
type/format, and notes return behavior (usually None); ensure the docstring is a
top-level string under the def so linters recognize it.

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Fix all unresolved CodeRabbit comments on this PR:

• Push a commit to this branch (recommended)
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ℹ️ Review info

⚙️ Run configuration

Configuration used: Path: .coderabbit.yaml

Review profile: ASSERTIVE

Plan: Pro

Run ID: f35d68b2-a170-4087-aaa8-c5ad28724d84

📥 Commits

Reviewing files that changed from the base of the PR and between d447014 and 2dea647.

⛔ Files ignored due to path filters (5)

• docs/benchmarks/tokenizer/10000_lines.svg is excluded by !**/*.svg
• docs/benchmarks/tokenizer/1000_lines.svg is excluded by !**/*.svg
• docs/benchmarks/tokenizer/100_lines.svg is excluded by !**/*.svg
• docs/benchmarks/tokenizer/10_lines.svg is excluded by !**/*.svg
• docs/benchmarks/tokenizer/all.svg is excluded by !**/*.svg

📒 Files selected for processing (12)

• docs/benchmarks/tokenizer/10000_lines.txt
• docs/benchmarks/tokenizer/1000_lines.txt
• docs/benchmarks/tokenizer/100_lines.txt
• docs/benchmarks/tokenizer/10_lines.txt
• docs/benchmarks/tokenizer/all.txt
• tests/benchmarks/data/js_10000_lines.js
• tests/benchmarks/data/json_10000_lines.json
• tests/benchmarks/data/python_10000_lines.py
• tests/benchmarks/data/python_1000_lines.py
• tests/benchmarks/data/xml_10000_lines.xml
• tests/benchmarks/data/yaml_10000_lines.yml
• tests/benchmarks/test_token_estimator.py

📜 Review details

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• GitHub Check: radon
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🧰 Additional context used

📓 Path-based instructions (1)

tests/**/*.py

📄 CodeRabbit inference engine (AGENTS.md)

tests/**/*.py: Use pytest for all unit and integration tests; do not use unittest
Use pytest.mark.asyncio marker for async tests

Files:

• tests/benchmarks/test_token_estimator.py
• tests/benchmarks/data/python_1000_lines.py

🪛 GitHub Actions: Pydocstyle / 0_pydocstyle.txt

tests/benchmarks/data/python_1000_lines.py

[error] 814-814: pydocstyle (via uv tool run pydocstyle -v src tests) reported: D103: Missing docstring in public function print_rag_response.

🪛 GitHub Actions: Pydocstyle / pydocstyle

tests/benchmarks/data/python_1000_lines.py

[error] 814-814: pydocstyle: D103 Missing docstring in public function print_rag_response.

🔇 Additional comments (6)

tests/benchmarks/test_token_estimator.py (1)

126-138: LGTM!

Also applies to: 202-213, 258-269, 314-325, 370-381, 426-437

docs/benchmarks/tokenizer/10_lines.txt (1)

1-11: LGTM!

docs/benchmarks/tokenizer/100_lines.txt (1)

1-11: LGTM!

docs/benchmarks/tokenizer/1000_lines.txt (1)

1-11: LGTM!

docs/benchmarks/tokenizer/10000_lines.txt (1)

1-10: LGTM!

docs/benchmarks/tokenizer/all.txt (1)

1-37: LGTM!