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https://github.com/JamesTheGiblet/BuddAI.git
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- Added `ModelFineTuner` class for preparing training data and fine-tuning models based on user corrections. - Introduced `CodeValidator` class to validate generated code against various hardware and style rules, including safety checks and function naming conventions. - Developed skills for calculator operations, system information retrieval, weather fetching, and timer functionality. - Implemented a self-diagnostic skill to run unit tests and report results. - Created a dynamic skill loading mechanism to discover and register skills from the current directory. - Added unit tests for skills to ensure functionality and reliability.
41 lines
No EOL
1.5 KiB
Python
41 lines
No EOL
1.5 KiB
Python
import importlib
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import pkgutil
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import logging
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from pathlib import Path
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# Configure local logger
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logger = logging.getLogger("BuddAI-Skills")
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def load_registry():
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"""
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Dynamically discovers and loads skill modules from the current directory.
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Returns a dictionary mapping skill IDs to their executable functions and metadata.
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"""
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registry = {}
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package_dir = Path(__file__).parent
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# Iterate over all .py files in this directory
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for _, name, _ in pkgutil.iter_modules([str(package_dir)]):
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try:
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# Import the module relative to this package
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module = importlib.import_module(f".{name}", __package__)
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# Verify the Skill Interface (must have 'meta' and 'run')
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if hasattr(module, "meta") and hasattr(module, "run"):
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metadata = module.meta()
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skill_id = name
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registry[skill_id] = {
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"name": metadata.get("name", skill_id),
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"triggers": metadata.get("triggers", []),
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"description": metadata.get("description", "No description provided."),
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"run": module.run
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}
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logger.info(f"🧩 Skill Loaded: {metadata.get('name')} [{skill_id}]")
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else:
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logger.debug(f"Skipping {name}: Does not implement Skill Interface.")
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except Exception as e:
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logger.error(f"❌ Error loading skill '{name}': {e}")
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return registry |