Suriyakumarvijayanayagam
58bfa07385
- Tool.to_schema() emits input_schema (Anthropic Messages API) instead of OpenAI-style parameters - QuestionManager: remove questions from _pending on answer and timeout, reject double answers, add list_pending() - core/skills/__init__.py so skills are importable as a package - revert optional-import fallbacks in logger/message_bus: nats-py and loguru are hard requirements, a broken install should fail loudly - tests for wait_for_answer happy path and timeout cleanup Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_012AJLYcbTHCe45fyFnMfEin
28 lines
664 B
Python
28 lines
664 B
Python
"""Structured logging for LogiFlow AI — single loguru setup imported by all modules."""
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import sys
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import os
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from pathlib import Path
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from loguru import logger
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Path("logs").mkdir(exist_ok=True)
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logger.remove()
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logger.add(
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sys.stderr,
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format="{time:YYYY-MM-DD HH:mm:ss} | {level: <8} | {name}:{function}:{line} - {message}",
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level=os.getenv("LOG_LEVEL", "INFO"),
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colorize=False,
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)
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logger.add(
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"logs/logiflow_{time:YYYY-MM-DD}.log",
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rotation="100 MB",
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retention="30 days",
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compression="gz",
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level="DEBUG",
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format="{time:YYYY-MM-DD HH:mm:ss} | {level: <8} | {name}:{function}:{line} - {message}",
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)
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__all__ = ["logger"]
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