directoryFinder-mac 0.1.1

Find files/folders in specific macOS directories using fuzzy search.

📁 directoryFinder_mac

directoryFinder_mac is a simple Python library that helps developers search for files or folders path by name using fuzzy matching logic inside specific directories (like Desktop, Documents, Downloads, etc.) on macOS.

It is especially useful in voice-assisted developer tools where interacting with the file system through speech is required.

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🔧 Installation

pip install directoryFinder_mac

🚀Example Usage

from directoryFinder_mac import find_file_in_dirs

results = find_file_in_dirs("file_name", ["Desktop", "Documents"], cutoff=0.7)
print(results)

Output

['/Users/yourname/Desktop/file_name', '/Users/yourname/Documents/file_name']

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⚙️Parameters

find_file_in_dirs(file_name, folder_names, cutoff=0.7)

• file_name (str, required): The name of the file or folder you're searching for. Matching is case-insensitive and fuzzy.

• folder_names (list, required): List of directories relative to the home directory to search in. Example: ["Desktop", "Downloads"] for mac.

• cutoff (float, optional): Fuzzy matching threshold between 0 and 1. Default is 0.7. Higher means stricter matching.

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🔍 How It Works – Fuzzy Matching Logic

Often while using speech recognition, minor misinterpretations can occur. For example:

• You say: recognition dot pi
• Actual file: recognition.py

These types of small inconsistencies (like “dot pi” instead of “.py”) are common due to voice transcription errors or human inaccuracies.

To address this, directoryFinder_mac uses fuzzy matching behind the scenes. Fuzzy matching doesn’t require an exact match — instead, it finds the closest possible match to your spoken or typed input using a similarity score.

You can also control the tolerance level using the cutoff parameter:

• cutoff=1.0 → Only exact matches
• cutoff=0.7 → Allows more relaxed matches (default)

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Note: If there are mutiple folders or files with same name then you need to check my library directorySelector for handling it.