sensor RunConfig

In Dagster, sensors are used to monitor external events and trigger runs based on those events. When defining a sensor, you may want to specify the configuration for the runs it triggers. This is done using the

RunRequest

object, which can include a

run_config

parameter. The

run_config

parameter allows you to provide the configuration that will be used when the sensor triggers a pipeline run. This configuration is a dictionary that specifies the settings for resources, loggers, execution, and more, depending on the needs of your pipeline. Here's an example from the documentation on how you might define a sensor with a `run_config`:

python from dagster import sensor, RunRequest  @sensor(job=my_job) def my_sensor(context):     if some_external_condition():         yield RunRequest(             run_key="unique-key-for-this-run",             run_config={                 "solids": {                     "my_solid": {                         "config": {                             "param": "value"                         }                     }                 }             },         )

In this example,

my_sensor

checks for some external condition, and if that condition is met, it yields a

RunRequest

with a unique

run_key

and a

run_config

. The

run_config

is a dictionary that specifies the configuration for the solid

my_solid

within the job

my_job

. Remember that the

run_config

should match the configuration schema expected by the job being triggered. If you have specific questions about configuring a sensor's

run_config

or if you encounter any issues, please feel free to ask for further assistance.