A bridge to integrate Loguru logging with Dagster context.log.
Project description
loguru-dagster
loguru-dagster is a lightweight utility package that bridges Loguru with Dagster.
It enables colorized, contextual logging inside Dagster pipelines with a single decorator.
🚀 Installation
pip install loguru-dagster
This will automatically install the required loguru and dagster dependencies.
📦 Import Path
from loguru_dagster import dagster_context_sink, with_loguru_logger
🧪 Usage Example
- Loguru Direct Logging You can use Loguru directly inside a Dagster asset:
import dagster as dg
from loguru import logger
@dg.asset
def test_loguru_html_log():
"""Verify that all levels appear correctly in Dagster UI"""
logger.debug("==Debug== Loguru is working in Dagster!")
logger.info("==Info== Loguru is working in Dagster!")
logger.warning("==Warning== Loguru is working in Dagster!")
logger.error("==!!Error!!== Loguru is working in Dagster!")
return {"status": "done"}
defs = dg.Definitions(
assets=[test_loguru_html_log]
)
2.Bridge Loguru to context.log with Decorator To convert context.log calls into Loguru logs, use the decorator @with_loguru_logger from loguru_dagster:
import dagster as dg
from loguru_dagster import with_loguru_logger
@dg.asset
@with_loguru_logger
def my_contexlog_callig_loguru(context: dg.AssetExecutionContext) -> None:
context.log.debug("This is a context.log.debug message from my_contexlog_callig_loguru")
context.log.info("This is an context.log.info message from my_contexlog_callig_loguru")
context.log.warning("This is a context.log.warning message from my_contexlog_callig_loguru")
context.log.error("This is an context.log.error message from my_contexlog_callig_loguru")
context.log.critical("This is a context.log.critical message from my_contexlog_callig_loguru")
defs = dg.Definitions(
assets=[my_contexlog_callig_loguru]
)
🔗 Repository
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