⚡ Bolt: Use CSafeLoader for 10x faster YAML parsing

[aafre]

💡 What: Implement fast_yaml_load utility using CSafeLoader with a fallback to yaml.SafeLoader and replace yaml.safe_load usage across the application.
🎯 Why: PyYAML's yaml.safe_load is pure Python and relatively slow for large or frequent YAML parsing tasks (like PDF generation or bulk image generation).
📊 Impact: Accelerates YAML parsing by nearly 10x.
🔬 Measurement: A microbenchmark running 10,000 iterations showed safe_load took 20.4772s while fast_load using CSafeLoader took only 2.2810s.

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PR created automatically by Jules for task 17167218838950002621 started by @aafre

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[gemini-code-assist]

Code Review

This pull request introduces a new utility function fast_yaml_load in utils/yaml_converter.py that optimizes YAML parsing by utilizing PyYAML's C-based CSafeLoader when available, falling back to SafeLoader. This optimized loader is integrated across various application scripts, generators, and test suites to replace slower yaml.safe_load calls. Additionally, the PR includes extensive import sorting, code formatting, and linting cleanups across multiple files. The reviewer provided a valuable optimization suggestion to resolve the YAML loader at the module level rather than inside the function on every call, which avoids unnecessary import and exception overhead in the hot path.

[gemini-code-assist]

To maximize the performance benefits of CSafeLoader, we should resolve the loader once at the module level during initialization rather than performing a local import and try/except block on every single call to fast_yaml_load. This avoids unnecessary overhead in the hot path of YAML parsing.

Suggested change

	from typing import Any, Dict
	import yaml
	from typing import Dict, Any
	def fast_yaml_load(file_or_string):
	"""
	Load YAML quickly using C-based loader if available,
	falling back to pure Python implementation.
	"""
	try:
	from yaml import CSafeLoader
	return yaml.load(file_or_string, Loader=CSafeLoader)
	except ImportError:
	return yaml.safe_load(file_or_string)
	from typing import Any, Dict
	import yaml
	try:
	from yaml import CSafeLoader as Loader
	except ImportError:
	from yaml import SafeLoader as Loader
	def fast_yaml_load(file_or_string):
	"""
	Load YAML quickly using C-based loader if available,
	falling back to pure Python implementation.
	"""
	return yaml.load(file_or_string, Loader=Loader)

[aafre]

@jules review this

[google-labs-jules]

The implementation of fast_yaml_load looks good. It correctly attempts to use the faster C-based CSafeLoader and gracefully falls back to the standard Python yaml.safe_load if the C extension is not available. Both paths are safe for loading untrusted YAML.