Fu DaiandClaude Opus 4.8
1a585693be
FastAPI service wrapping the Surya-OCR-2 model (datalab-to) served through vLLM: legacy /v1/api/ai/* endpoints, an OpenAI-compatible /v1/chat/completions endpoint, a coalescing request batcher, a local OCR CLI, Docker packaging, multilingual example outputs, and quantization/concurrency benchmarks. Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
28 lines
733 B
Python
28 lines
733 B
Python
import logging
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import warnings
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from surya.settings import settings
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def configure_logging():
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logger = get_logger()
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# Remove any existing handlers to prevent duplicates
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for handler in logger.handlers[:]:
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logger.removeHandler(handler)
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# Add our handler
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handler = logging.StreamHandler()
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formatter = logging.Formatter("%(asctime)s [%(levelname)s] %(name)s: %(message)s")
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handler.setFormatter(formatter)
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logger.addHandler(handler)
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# Prevent propagation to parent loggers to avoid double logging
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logger.propagate = False
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logger.setLevel(settings.LOGLEVEL)
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warnings.simplefilter(action="ignore", category=FutureWarning)
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def get_logger():
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return logging.getLogger("surya")
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