⚡ Bolt: Pre-compile regex patterns in keyword density tool

[anchapin]

💡 What: Extracted the literal regex patterns for finding job titles and companies in cli/utils/keyword_density.py and pre-compiled them as module-level constants (_TITLE_PATTERNS and _COMPANY_PATTERNS).
🎯 Why: When analyzing job descriptions for keyword density, the _extract_job_details function is called and previously it compiled these regex objects every single time. Compiling them once when the module is imported avoids redundant processing overhead.
📊 Impact: Reduces regex recompilation overhead to near-zero for job detail extraction, making keyword density reports slightly faster to generate.
🔬 Measurement: Run the keyword density generation on large or multiple job descriptions. Local tests verify that the exact same matching logic is preserved while eliminating unnecessary re.compile() steps.

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PR created automatically by Jules for task 284781109145590586 started by @anchapin

Summary by Sourcery

Enhancements:

• Introduce module-level pre-compiled regex pattern lists for job title and company extraction in the keyword density tool and update extraction logic to use them for improved performance.

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[sourcery-ai]

Reviewer's guide (collapsed on small PRs)

Reviewer's Guide

Pre-compiles the regex patterns used for extracting job titles and company names in the keyword density tool so they are compiled once at import instead of on every call to _extract_job_details, preserving behavior while improving performance.

Class diagram for pre-compiled regex usage in keyword density module

classDiagram
    class keyword_density_py {
        +list _TITLE_PATTERNS
        +list _COMPANY_PATTERNS
        +tuple _extract_job_details(job_description: str)
    }

    class _TITLE_PATTERNS {
        +Pattern pattern_1
        +Pattern pattern_2
        +Pattern pattern_3
    }

    class _COMPANY_PATTERNS {
        +Pattern pattern_1
        +Pattern pattern_2
    }

    keyword_density_py "1" o-- "1" _TITLE_PATTERNS : contains
    keyword_density_py "1" o-- "1" _COMPANY_PATTERNS : contains

    keyword_density_py ..> _TITLE_PATTERNS : uses_in__extract_job_details
    keyword_density_py ..> _COMPANY_PATTERNS : uses_in__extract_job_details

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File-Level Changes

Change	Details	Files
Pre-compile job title extraction regexes as module-level constants and update usage to call search on compiled patterns.	Introduce a _TITLE_PATTERNS list containing compiled regex objects for the previously inline title-matching patterns. Move the regex flags (IGNORECASE and MULTILINE) into the compilation step instead of passing them to re.search. Update _extract_job_details to iterate over _TITLE_PATTERNS and call pattern.search(job_description) instead of re.search with a string pattern.	cli/utils/keyword_density.py
Pre-compile company extraction regexes as module-level constants and update usage to call search on compiled patterns.	Introduce a _COMPANY_PATTERNS list containing compiled regex objects for the previously inline company-matching patterns. Move the IGNORECASE flag into the compilation step instead of passing it to re.search. Update _extract_job_details to iterate over _COMPANY_PATTERNS and call pattern.search(job_description) instead of re.search with a string pattern.	cli/utils/keyword_density.py

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[sourcery-ai]

Hey - I've left some high level feedback:

• The first company regex pattern was previously case-sensitive and is now compiled with re.IGNORECASE, which subtly changes matching behavior; confirm this is intentional or adjust the flags to preserve existing semantics.
• Since _TITLE_PATTERNS and _COMPANY_PATTERNS are intended as constants, consider using tuples instead of lists to better convey their immutability and avoid accidental modification.

Prompt for AI Agents

Please address the comments from this code review:

## Overall Comments
- The first company regex pattern was previously case-sensitive and is now compiled with `re.IGNORECASE`, which subtly changes matching behavior; confirm this is intentional or adjust the flags to preserve existing semantics.
- Since `_TITLE_PATTERNS` and `_COMPANY_PATTERNS` are intended as constants, consider using tuples instead of lists to better convey their immutability and avoid accidental modification.

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