Add memory profiling and optimization to CLI

[codegen-sh]

This PR adds memory profiling capabilities to the Codegen CLI and implements memory optimizations.

New Features

Memory Profiling Command

• Added a new memprof command that allows profiling memory usage of any CLI command
• The profiler tracks RSS, VMS, and detailed memory allocations using tracemalloc
• Generates visualizations and detailed reports of memory usage

Memory Optimizations

• Added memory usage tracking and reporting to the run command
• Implemented garbage collection at strategic points to reduce memory footprint
• Added timing information to help identify performance bottlenecks
• Improved memory cleanup after operations complete

Implementation Details

• Created a new memory_profiler.py utility module with reusable profiling tools
• Added a new memprof command that can profile any other CLI command
• Modified run_local.py to include memory usage tracking and optimization
• Updated the main CLI to include the new command

Usage

# Profile memory usage of a command
codegen memprof run my-codemod --arguments '{"param": "value"}'

# Output is saved to ~/.codegen/memory_profiles by default
# Or specify a custom output directory
codegen memprof --output-dir ./profiles run my-codemod

The memory profiling output includes:

• JSON data of memory usage over time
• PNG visualization of memory usage
• Text report with peak memory usage and top memory allocations
• Runtime performance metrics

These improvements will help identify memory leaks and optimize the CLI's memory usage.

[codecov]

Codecov Report

Attention: Patch coverage is 0% with 2 lines in your changes missing coverage. Please review.

✅ All tests successful. No failed tests found.

Files with missing lines	Patch %	Lines
src/codegen/cli/cli.py	0.00%	2 Missing ⚠️

🚀 New features to boost your workflow:

• 📦 JS Bundle Analysis: Save yourself from yourself by tracking and limiting bundle sizes in JS merges.