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chore: import upstream snapshot with attribution
2026-07-13 13:10:45 +08:00

54 lines
1.4 KiB
Python

"""
File-based logging utilities (stateless).
Generic application logging to local files using Python's standard logging module.
Used for capturing pipeline execution logs in demos/test cases.
"""
import logging
import os
import sys
def configure_file_logging(log_file: str, level: int = logging.INFO) -> None:
"""
Configure Python logging to write to a file and stdout (stateless).
Args:
log_file: Path to log file
level: Logging level (default: INFO)
"""
logging.basicConfig(
level=level,
format="%(asctime)s [%(levelname)s] %(message)s",
handlers=[
logging.FileHandler(log_file, mode="w"),
logging.StreamHandler(sys.stdout),
],
force=True,
)
def tail_log_file(log_file: str, max_lines: int = 40, max_chars: int = 2000) -> str:
"""
Read the tail of a log file (stateless).
Args:
log_file: Path to log file
max_lines: Maximum number of lines to read from the end
max_chars: Maximum characters to return
Returns:
Tail of log file as string, empty if file doesn't exist
"""
if not os.path.exists(log_file):
return ""
with open(log_file, encoding="utf-8", errors="replace") as handle:
lines = handle.readlines()
tail = "".join(lines[-max_lines:])
if len(tail) > max_chars:
return tail[-max_chars:]
return tail