NANDI
d0e0e53087
Async pipeline: streamlink + ffmpeg frame capture → Gemini Vision API analysis → rich console output + log file. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
28 lines
760 B
Python
28 lines
760 B
Python
import aiofiles
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from datetime import datetime
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from rich.console import Console
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from rich.panel import Panel
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console = Console()
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def print_description(description: str, frame_number: int) -> None:
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timestamp = datetime.now().strftime("%H:%M:%S")
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console.print(
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Panel(
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description,
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title=f"[bold cyan]Frame #{frame_number}[/bold cyan] [{timestamp}]",
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border_style="blue",
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)
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)
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async def log_description(
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log_file: str, description: str, frame_number: int
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) -> None:
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timestamp = datetime.now().strftime("%Y-%m-%d %H:%M:%S")
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line = f"[{timestamp}] Frame #{frame_number}: {description}\n"
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async with aiofiles.open(log_file, "a", encoding="utf-8") as f:
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await f.write(line)
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