Tom Matthews
10/03/2024, 11:34 AMMarvin
10/03/2024, 11:34 AMTom Matthews
10/03/2024, 11:34 AMMarvin
10/03/2024, 11:35 AMPREFECT_LOGGING_[PATH]_[TO]_[KEY]
. For example, if you want to change the default logging level to DEBUG, you could set an environment variable like:
PREFECT_LOGGING_LEVEL="DEBUG"
2. Root Logger Configuration: The root Python logger, which captures logs from all loggers unless they explicitly opt out, can be adjusted too. By default, it outputs WARNING
level logs to the console. You can change this by setting:
PREFECT_LOGGING_ROOT_LEVEL="INFO"
3. Custom Logging Configuration: You may want to create a custom logging configuration file where you can define handlers that implement rate limiting for logs. This can be done using Python's logging module to create custom handlers that throttle logging output as needed.
For details on these configurations and more advanced logging setup, you can refer to the Prefect documentation:
- Guides on logging configuration
If this setup doesn't fully address your needs, you'll need to implement custom rate-limiting logic within your Prefect flow definition or handlers. This might involve using Python's logging.Filter
to count and restrict logs emitted per unit of time.
For any additional assistance or alternative approaches, please let me know!Tom Matthews
10/03/2024, 11:36 AMMarvin
10/03/2024, 11:37 AMemit
method to include rate-limiting logic, such as maintaining a count of log records emitted and restricting output after reaching a defined limit within a time window.
2. Attach Handler to Logger: Attach your custom handler to the logger used by your Prefect flow. By default, Prefect uses the prefect
logger, so you'll want to add the handler there.
3. Example Implementation:
- Below is a simple example using Python's logging module:
python
import logging
import time
class RateLimitingHandler(logging.Handler):
def __init__(self, max_logs_per_minute, *args, **kwargs):
super().__init__(*args, **kwargs)
self.max_logs_per_minute = max_logs_per_minute
self.log_timestamps = []
def emit(self, record):
current_time = time.time()
# Remove timestamps older than 60 seconds
self.log_timestamps = [t for t in self.log_timestamps if current_time - t < 60]
if len(self.log_timestamps) < self.max_logs_per_minute:
self.log_timestamps.append(current_time)
super().emit(record)
else:
# Optionally, handle the case where logs are being rate limited
pass
logger = logging.getLogger("prefect")
rate_limited_handler = RateLimitingHandler(max_logs_per_minute=60)
logger.addHandler(rate_limited_handler)
This approach allows you to decide how many log messages you want to permit per time window and helps you control spammy log outputs in your flows on a self-hosted environment.
If you are looking for a feature request or discussion on this topic, it may be worthwhile to keep an eye on Prefect's GitHub repository for future updates or submit a feature request. Let me know if you need further assistance or detailed guidance on setting this up!