51 lines
1.7 KiB
Python
51 lines
1.7 KiB
Python
"""
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Centralized Cloud Logging setup.
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Uses CloudLoggingHandler (background thread) so logging does not add latency
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"""
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import logging
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from typing import Optional, Dict, Literal
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import google.cloud.logging
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from google.cloud.logging.handlers import CloudLoggingHandler
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from .config import Settings
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def _setup_logger() -> logging.Logger:
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"""Create or return the singleton evaluation logger."""
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log_name = "va_agent-evaluation-logs"
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logger = logging.getLogger(log_name)
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cfg = Settings.model_validate({})
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if any(isinstance(h, CloudLoggingHandler) for h in logger.handlers):
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return logger
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try:
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client = google.cloud.logging.Client(project=cfg.project_id)
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handler = CloudLoggingHandler(client, name=log_name) # async transport
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logger.addHandler(handler)
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logger.setLevel(logging.INFO)
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except Exception as e:
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# Fallback to console if Cloud Logging is unavailable (local dev)
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logging.basicConfig(level=logging.INFO)
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logger = logging.getLogger(log_name)
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logger.warning("Cloud Logging setup failed; using console. Error: %s", e)
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return logger
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_eval_log = _setup_logger()
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def log_structured_entry(message: str, severity: Literal["INFO", "WARNING", "ERROR"], custom_log: Optional[Dict] = None) -> None:
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"""
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Emit a JSON-structured log row.
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Args:
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message: Short label for the row (e.g., "Final agent turn").
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severity: "INFO" | "WARNING" | "ERROR" etc.
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custom_log: A dict with your structured payload.
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"""
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level = getattr(logging, severity.upper(), logging.INFO)
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_eval_log.log(level, message, extra={"json_fields": {"message": message, "custom": custom_log or {}}})
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