151 lines
4.6 KiB
Python
Executable File
151 lines
4.6 KiB
Python
Executable File
#!/usr/bin/env -S uv run --script
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# /// script
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# requires-python = ">=3.11"
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# dependencies = [
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# "python-dotenv",
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# ]
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# ///
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import argparse
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import json
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import os
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import sys
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import subprocess
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from pathlib import Path
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from datetime import datetime
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try:
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from dotenv import load_dotenv
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load_dotenv()
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except ImportError:
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pass # dotenv is optional
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def get_tts_script_path():
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"""
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Determine which TTS script to use based on available API keys and MCP.
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Priority order: ElevenLabs MCP > OpenAI > local
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"""
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# Get current script directory and construct utils/tts path
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script_dir = Path(__file__).parent
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tts_dir = script_dir / "utils" / "tts"
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# Check for ElevenLabs MCP first (highest priority)
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elevenlabs_mcp_script = tts_dir / "elevenlabs_mcp.py"
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if elevenlabs_mcp_script.exists():
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return str(elevenlabs_mcp_script)
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# Check for OpenAI API key (second priority)
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if os.getenv('OPENAI_API_KEY'):
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openai_script = tts_dir / "openai_tts.py"
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if openai_script.exists():
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return str(openai_script)
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# Fall back to local TTS (no API key required)
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local_script = tts_dir / "local_tts.py"
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if local_script.exists():
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return str(local_script)
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return None
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def announce_subagent_completion():
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"""Announce subagent completion using the best available TTS service."""
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try:
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tts_script = get_tts_script_path()
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if not tts_script:
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return # No TTS scripts available
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# Use fixed message for subagent completion
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completion_message = "Subagent Complete"
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# Call the TTS script with the completion message
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subprocess.run([
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"uv", "run", tts_script, completion_message
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],
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capture_output=True, # Suppress output
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timeout=10 # 10-second timeout
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)
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except (subprocess.TimeoutExpired, subprocess.SubprocessError, FileNotFoundError):
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# Fail silently if TTS encounters issues
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pass
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except Exception:
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# Fail silently for any other errors
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pass
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def main():
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try:
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# Parse command line arguments
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parser = argparse.ArgumentParser()
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parser.add_argument('--chat', action='store_true', help='Copy transcript to chat.json')
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args = parser.parse_args()
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# Read JSON input from stdin
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input_data = json.load(sys.stdin)
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# Extract required fields
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session_id = input_data.get("session_id", "")
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stop_hook_active = input_data.get("stop_hook_active", False)
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# Ensure log directory exists
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log_dir = os.path.join(os.getcwd(), "logs")
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os.makedirs(log_dir, exist_ok=True)
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log_path = os.path.join(log_dir, "subagent_stop.json")
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# Read existing log data or initialize empty list
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if os.path.exists(log_path):
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with open(log_path, 'r') as f:
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try:
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log_data = json.load(f)
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except (json.JSONDecodeError, ValueError):
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log_data = []
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else:
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log_data = []
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# Append new data
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log_data.append(input_data)
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# Write back to file with formatting
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with open(log_path, 'w') as f:
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json.dump(log_data, f, indent=2)
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# Handle --chat switch (same as stop.py)
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if args.chat and 'transcript_path' in input_data:
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transcript_path = input_data['transcript_path']
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if os.path.exists(transcript_path):
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# Read .jsonl file and convert to JSON array
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chat_data = []
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try:
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with open(transcript_path, 'r') as f:
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for line in f:
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line = line.strip()
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if line:
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try:
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chat_data.append(json.loads(line))
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except json.JSONDecodeError:
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pass # Skip invalid lines
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# Write to logs/chat.json
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chat_file = os.path.join(log_dir, 'chat.json')
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with open(chat_file, 'w') as f:
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json.dump(chat_data, f, indent=2)
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except Exception:
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pass # Fail silently
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# Announce subagent completion via TTS
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announce_subagent_completion()
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sys.exit(0)
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except json.JSONDecodeError:
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# Handle JSON decode errors gracefully
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sys.exit(0)
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except Exception:
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# Handle any other errors gracefully
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sys.exit(0)
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if __name__ == "__main__":
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main() |