Add JIT Compiler Benchmarking for Cortex Operations #330
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📝 WalkthroughWalkthroughAdds a JIT benchmarking suite (README, runner, four benchmarks), a package suggestion utility with tests, and CLI changes: pre-install/package-not-found suggestion flow and a new notify subcommand. Changes
Sequence Diagram(s)sequenceDiagram
participant User
participant CLI as CortexCLI
participant Suggester as PackageSuggester
participant Notif as NotificationHandler
rect rgb(240,248,255)
Note over CLI,Suggester: Pre-install / package-not-found suggestion flow
User->>CLI: install "apache-server"
CLI->>Suggester: suggest_alternatives("apache-server")
Suggester-->>CLI: [apache2, ...]
CLI->>User: show_suggestions(...) + "Install apache2?"
alt user accepts
User-->>CLI: "y"
CLI->>CLI: install("apache2")
else user declines
User-->>CLI: "n"
CLI-->>User: return error/abort
end
end
rect rgb(245,255,240)
Note over CLI,Notif: notify subcommand flow
User->>CLI: notify send --title ... --body ...
CLI->>Notif: validate & dispatch notification
Notif-->>CLI: success / failure
CLI-->>User: print feedback
end
Estimated code review effort🎯 3 (Moderate) | ⏱️ ~20 minutes Suggested reviewers
Poem
Pre-merge checks and finishing touches❌ Failed checks (2 warnings)
✅ Passed checks (3 passed)
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Actionable comments posted: 14
🧹 Nitpick comments (8)
benchmarks/run_benchmarks.py (3)
16-20: Preserve existing PYTHONPATH.Line 20 overwrites
PYTHONPATHentirely. If a user has existing paths in theirPYTHONPATH, they will be lost, potentially causing import errors.🔎 Proposed fix
def run(jit_enabled): env = os.environ.copy() env["PYTHON_JIT"] = "1" if jit_enabled else "0" # Add project root to PYTHONPATH - env["PYTHONPATH"] = str(PROJECT_ROOT) + existing_pythonpath = env.get("PYTHONPATH", "") + env["PYTHONPATH"] = f"{PROJECT_ROOT}{os.pathsep}{existing_pythonpath}" if existing_pythonpath else str(PROJECT_ROOT)
27-27: Add error handling for subprocess failures.If any benchmark script fails, the error is silently ignored and execution continues. Consider checking the return code to surface failures.
🔎 Proposed fix
for bench in benchmarks: - subprocess.run([sys.executable, bench], env=env) + result = subprocess.run([sys.executable, bench], env=env) + if result.returncode != 0: + print(f"Warning: {bench} failed with return code {result.returncode}")Or use
check=Trueto raise an exception on failure:for bench in benchmarks: - subprocess.run([sys.executable, bench], env=env) + subprocess.run([sys.executable, bench], env=env, check=True)
1-31: Consider verifying Python 3.13+ is available.The benchmark suite targets Python 3.13's experimental JIT compiler. Consider adding a version check to ensure users are running the appropriate Python version, or at least document this requirement.
🔎 Proposed addition
Add a version check at the module level:
if __name__ == "__main__": if sys.version_info < (3, 13): print("Warning: Python 3.13+ is required for JIT benchmarking.") print(f"Current version: {sys.version}") # Continue anyway or exit based on preference run(False) run(True)test/test_package_suggester.py (2)
4-7: Add docstring to test function.As per coding guidelines, docstrings are required for all public APIs. While test functions aren't strictly "public APIs," adding brief docstrings improves test documentation and clarifies intent.
🔎 Suggested improvement
def test_suggests_apache_for_apache_server(): + """Test that 'apache-server' query suggests 'apache2' package.""" results = suggest_alternatives("apache-server") names = [pkg["name"] for pkg in results] assert "apache2" in names
10-12: Add docstring to test function.As per coding guidelines, docstrings are required for all public APIs. Adding a brief docstring clarifies the test's purpose.
🔎 Suggested improvement
def test_suggest_returns_list(): + """Test that suggest_alternatives returns a list for any input.""" results = suggest_alternatives("randompkg") assert isinstance(results, list)cortex/suggestions/package_suggester.py (1)
6-28: Consider expanding KNOWN_PACKAGES or using an external data source.The package database contains only 3 entries (apache2, nginx, docker), which severely limits the utility's usefulness. Consider:
- Adding more common packages
- Loading from an external file or API
- Documenting that this is a temporary/demo implementation (comment on line 5 mentions this but it's easy to miss)
cortex/cli.py (2)
312-316: Move imports to module level.Importing inside functions (lines 313-316 and again at 373-376) adds overhead on every call. Move these imports to the module level with the other imports.
🔎 Proposed fix
At the top of the file with other imports (around line 24):
from cortex.validators import ( validate_api_key, validate_install_request, ) +from cortex.suggestions.package_suggester import ( + show_suggestions, + suggest_alternatives, +)Then remove the local imports at lines 313-316 and 373-376.
132-133: Consider adding a public save method to NotificationManager.Lines 132, 138, and 157 call the private method
mgr._save_config(). The comment on line 130-131 acknowledges this but suggests it's acceptable "for a simple fix."However, calling private methods breaks encapsulation and could lead to maintenance issues if NotificationManager's internal implementation changes. Consider adding a public
save()method to NotificationManager.💡 Recommended approach
In
NotificationManager:def save(self) -> None: """Save current configuration to disk.""" self._save_config()Then update the calls in cli.py:
- mgr._save_config() + mgr.save()Also applies to: 138-138, 157-157
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📒 Files selected for processing (9)
benchmarks/README.md(1 hunks)benchmarks/benchmark_cache_ops.py(1 hunks)benchmarks/benchmark_cli_startup.py(1 hunks)benchmarks/benchmark_command_parsing.py(1 hunks)benchmarks/benchmark_streaming.py(1 hunks)benchmarks/run_benchmarks.py(1 hunks)cortex/cli.py(2 hunks)cortex/suggestions/package_suggester.py(1 hunks)test/test_package_suggester.py(1 hunks)
🧰 Additional context used
📓 Path-based instructions (1)
**/*.py
📄 CodeRabbit inference engine (AGENTS.md)
**/*.py: Follow PEP 8 style guide
Type hints required in Python code
Docstrings required for all public APIs
Files:
benchmarks/benchmark_cache_ops.pybenchmarks/run_benchmarks.pybenchmarks/benchmark_streaming.pycortex/suggestions/package_suggester.pybenchmarks/benchmark_cli_startup.pycortex/cli.pytest/test_package_suggester.pybenchmarks/benchmark_command_parsing.py
🧬 Code graph analysis (6)
benchmarks/benchmark_streaming.py (3)
benchmarks/benchmark_cache_ops.py (1)
benchmark(3-11)benchmarks/benchmark_cli_startup.py (1)
benchmark(4-11)benchmarks/benchmark_command_parsing.py (1)
benchmark(5-13)
cortex/suggestions/package_suggester.py (2)
src/intent/llm_agent.py (1)
process(45-88)cortex/branding.py (1)
cx_print(49-69)
benchmarks/benchmark_cli_startup.py (4)
benchmarks/benchmark_cache_ops.py (1)
benchmark(3-11)benchmarks/benchmark_command_parsing.py (1)
benchmark(5-13)benchmarks/benchmark_streaming.py (1)
benchmark(7-11)benchmarks/run_benchmarks.py (1)
run(15-27)
cortex/cli.py (2)
cortex/suggestions/package_suggester.py (2)
show_suggestions(43-52)suggest_alternatives(31-40)cortex/first_run_wizard.py (1)
_print_error(746-748)
test/test_package_suggester.py (1)
cortex/suggestions/package_suggester.py (1)
suggest_alternatives(31-40)
benchmarks/benchmark_command_parsing.py (1)
cortex/cli.py (1)
CortexCLI(33-787)
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🔇 Additional comments (2)
cortex/cli.py (2)
105-171: LGTM with minor suggestions!The
notifymethod implementation is well-structured with:
- Proper input validation (line 108-110 handles missing subcommand)
- Time format validation for DND (lines 148-153)
- Type hints and docstring
- Clear user feedback with appropriate status indicators
The addressed CodeRabbit feedback improvements are visible and improve robustness.
Note: See separate comments about using the private
_save_config()method and consider moving it to a public API.
812-812: LGTM!The help table entry for the notify command is correctly added.
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Pull request overview
This PR adds JIT compiler benchmarking capabilities for Python 3.13, along with a new package suggestion feature for the Cortex CLI. However, the PR description focuses on JIT benchmarking while a significant portion of the changes implement package suggestions, which appears to be outside the stated scope.
Key changes:
- Added benchmark suite with 4 benchmarks for CLI startup, command parsing, cache operations, and streaming
- Implemented package suggester using fuzzy matching to recommend alternatives when packages aren't found
- Integrated package suggestions into the CLI install flow with user prompts
Reviewed changes
Copilot reviewed 9 out of 10 changed files in this pull request and generated 13 comments.
Show a summary per file
| File | Description |
|---|---|
| benchmarks/run_benchmarks.py | Main benchmark runner that attempts to toggle JIT via PYTHON_JIT environment variable |
| benchmarks/benchmark_cli_startup.py | Benchmarks CLI startup time across multiple runs |
| benchmarks/benchmark_command_parsing.py | Benchmarks argparse command parsing overhead |
| benchmarks/benchmark_cache_ops.py | Benchmarks dictionary operations simulating cache workloads |
| benchmarks/benchmark_streaming.py | Benchmarks generator iteration performance |
| benchmarks/README.md | Documentation for the benchmark suite with usage instructions and findings |
| cortex/suggestions/package_suggester.py | New module implementing fuzzy package matching and suggestion display |
| test/test_package_suggester.py | Unit tests for the package suggester functionality |
| cortex/cli.py | Integrates package suggestions into the install command at two points in the flow |
Comments suppressed due to low confidence (1)
benchmarks/benchmark_command_parsing.py:6
- Variable cli is not used.
cli = CortexCLI(verbose=False)
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can you assign this to me |
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@SWAROOP323 CI Checks are failing, Also can u raise a new PR with the CLA Information following #401 PR as a reference.
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@SWAROOP323 Update your branch. |
CLA Verification PassedAll contributors have signed the CLA.
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@Anshgrover23 CI failures have been resolved and the branch has been updated. |
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@SWAROOP323 Follow Contributing.md guideliness i.e add a demonstration video.
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@SWAROOP323 Please follow the updated contribution guidelines. We’ve added new rules around AI usage in CONTRIBUTING.md. 2e68b29
Kindly Update in your all PRs.
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3 participants
This PR adds a benchmark suite to evaluate the impact of Python 3.13's
experimental JIT compiler on Cortex operations.
Benchmarks included:
Benchmarks are executed with JIT enabled and disabled to compare results.
Closes cortexlinux/cortex-pro#3.
Summary by CodeRabbit
New Features
Documentation
Tests
Chores
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