mirror of
https://github.com/JamesTheGiblet/BuddAI.git
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f9fd27d228
- 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.
44 lines
No EOL
1.2 KiB
Python
44 lines
No EOL
1.2 KiB
Python
import time
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import re
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import threading
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def meta():
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"""
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Metadata for the Timer skill.
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"""
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return {
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"name": "Timer",
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"description": "Sets a non-blocking timer (background thread).",
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"triggers": ["timer", "sleep", "wait for"]
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}
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def run(payload):
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"""
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Executes the blocking sleep.
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"""
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prompt = payload if isinstance(payload, str) else payload.get("prompt", "")
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# Regex to capture number and optional unit (e.g., "5", "5s", "5 minutes")
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match = re.search(r'(\d+)\s*(seconds?|secs?|s|minutes?|mins?|m)?', prompt.lower())
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if not match:
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return None # Fallback to LLM if no time found
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amount = int(match.group(1))
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unit = match.group(2)
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duration = amount
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if unit and unit.startswith('m'):
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duration *= 60
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if duration > 3600:
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return f"❌ Timer too long ({duration}s). Max 1 hour."
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def _timer_thread():
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time.sleep(duration)
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print(f"\n\n⏰ 🔔 BEEP! Timer finished ({duration}s).\n")
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t = threading.Thread(target=_timer_thread, daemon=True)
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t.start()
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return f"⏰ Timer started for {duration} seconds (running in background)..." |