monitored_jobs=JobSelector=(job_selection="all"),
# ask-ai
a
monitored_jobs=JobSelector=(job_selection="all"),
s
It seems like there might be a misunderstanding in the syntax you've provided. The
monitored_jobs
parameter is used to specify which jobs a sensor should monitor, and it accepts a list of job definitions, graph definitions, or selectors such as
RepositorySelector
,
JobSelector
, or
CodeLocationSelector
. If you want to monitor all jobs in a Dagster instance, you can use the
monitor_all_code_locations
parameter instead of
monitored_jobs
. Setting
monitor_all_code_locations
to
True
will configure the sensor to monitor all runs in the Dagster instance. However, it's important to note that if
monitor_all_code_locations
is set to
True
, you should not specify
monitored_jobs
or
job_selection
, as doing so will raise an error. Here's an example of how you might configure a sensor to monitor all jobs:
Copy code
python @sensor def my_sensor(context):     # Sensor logic here     pass  my_sensor = my_sensor.configured({     "monitor_all_code_locations": True })
In this example,
my_sensor
is configured to monitor all runs in the Dagster instance. If you want to monitor specific jobs, you would provide them in the
monitored_jobs
parameter as a list of
JobSelector
or other appropriate selectors. Please adjust your configuration according to these guidelines. If you need to monitor specific jobs, you would need to provide a list of selectors that match those jobs. If you want to monitor all jobs, use the
monitor_all_code_locations
parameter with a value of
True
.