The following set of API's provide a mechanism to monitor the various parameters of the pipeline run.
The following API, provides the mechanism for the users to access the logs of the pipeline run both at a pipeline level and block level
Usage - to get the block level logs
from razor import LogLevel, LogType
prun.logs(
log_type=LogType.BLOCK,
log_levels=LogLevel.all_levels()
)
Usage - to get the system level logs
from razor import LogLevel
prun.logs(
log_type=LogType.SYSTEM,
log_levels=LogLevel.all_levels()
)
Attributes
| Argument | Description |
|---|---|
| log_type | type of the log, the different type of logs are 1. LogType.BLOCK - for getting the block level logs 2. LogType.SYSTEM - For getting the system level logs |
| log_levels | Standard logging levels from python logger |
The following API, shows the metrics for a particular pipeline run
prun.metrics()
The following API, shows the Queue status of the pipeline.
queue_list = prun.queue()
The following API, shows the current run status of the pipeline
prun.run_status()
The following API, shows how a pipeline run can be terminated
prun.stop()