34047007@qq.com
a6cd99a4ca
OncoLit: a multi-tenant oncology literature search, feed, and collaboration platform. Built with FastAPI + Vue 3 + PostgreSQL. Includes PubMed pipeline, drug approvals, AI summaries, and systematic review tools.
38 lines
1.2 KiB
Python
38 lines
1.2 KiB
Python
"""结构化日志配置 — structlog"""
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import logging
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import structlog
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def setup_logging():
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"""初始化 structlog，输出 JSON 格式到 stdout"""
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structlog.configure(
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processors=[
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structlog.stdlib.add_log_level,
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structlog.stdlib.PositionalArgumentsFormatter(),
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structlog.processors.TimeStamper(fmt="iso"),
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structlog.processors.StackInfoRenderer(),
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structlog.processors.format_exc_info,
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structlog.processors.UnicodeDecoder(),
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structlog.dev.ConsoleRenderer() if False else structlog.processors.JSONRenderer(),
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],
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context_class=dict,
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logger_factory=structlog.stdlib.LoggerFactory(),
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wrapper_class=structlog.stdlib.BoundLogger,
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cache_logger_on_first_use=True,
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)
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# 禁止 SQLAlchemy 细粒度日志
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logging.getLogger("sqlalchemy.engine").setLevel(logging.WARNING)
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logging.getLogger("sqlalchemy.pool").setLevel(logging.WARNING)
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logging.getLogger("sqlalchemy.dialects").setLevel(logging.WARNING)
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def get_logger(name: str = "scilit"):
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return structlog.get_logger(name)
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# 日志级别到函数映射，方便在端点中直接调用
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log = get_logger()
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