This document describes how the Alert Production or Raw Calibration Validation pipelines are invoked and how they communicate with the Butler and Prompt Products Database.
2 Invoking the Alert Production Pipeline¶
This section describes the interface between the Prompt Processing system and the Alert Production pipeline that allows the former to invoke the latter.
2.1 Initial batch implementation¶
Until a full-featured Prompt Processing execution framework is available, the Alert Production pipeline will be invoked as batch jobs submitted to HTCondor or SLURM. One batch job will be submitted per camera CCD (9 for ComCam, 189 for LSSTCam). The batch job will execute a process from the Unix command line: either a CmdLineTask via its command-line wrapper, a pipe_drivers script, or a PipelineTask via its command-line wrapper, as designated by the Alert Production developers. That command must accept as an argument the name of the CCD to be processed, the RA and declination of the telescope boresight, the name of the filter to be used for the observation, if any, and the anticipated exposure time. The command will also accept as parameters the location of the distributor responsible for providing the input image or images for the Alert Production pipeline and the name(s) of the image(s) to be retrieved. The values of all of those arguments will be provided by the Prompt Processing system based on the nextVisit event. All other information about the image (including detailed information about the shutter motion used to compute more accurate exposure times) must be obtained from the image headers.
The batch job will be submitted no later than the startIntegration event, although there may be some latency until it starts running.
2.2 Later dynamic implementation¶
When a Prompt Processing execution framework is available, it will directly invoke the command given above, without the intermediation of a batch processing system. One command will be executed per camera CCD. All of the same arguments will be provided.
The command should be executed at nextVisit time, although it’s possible that for technical reasons it will have to be delayed until startIntegration.
2.3 Raw calibration pipeline¶
The raw calibration pipeline will be invoked with the “intent” (dark, flat, CBP, etc.) of the image, the name of the CCD, the name of any filter in place, the anticipated exposure time, the location of the distributor, and the name of the image. All other information about the image (including detailed information about the shutter motion used to compute more accurate exposure times) must be obtained from the image headers.
The command should be executed at startIntegration time; there are no nextVisit events for raw calibration images.
3 Retrieving Template and Calibration Images¶
The Alert Production pipeline is expected to retrieve template and master calibration images via a configured Data Butler. A special Datastore is anticipated to be provided for these images that would have higher performance and greater uptime than the normal Data Backbone.
4 Retrieving Science Images¶
The Alert Production pipeline retrieves science images (one or two per visit) via a Data Butler configured to use the distributor provided as an argument. The get() call to that Data Butler must block until the image is received and registered. The Alert Production should timeout and exit if no image has been received within a configurable period, e.g. 2 minutes.
5 Retrieving DIASources, DIAObject, and DRP Objects¶
The Alert Production pipeline should initialize the PPDB interface (a Python module) when it is invoked, using the boresight location and CCD name to provide a spatial region to be processed.
Historic DIASources, DIAObjects, and the identifiers for DRP Objects should then be retrieved immediately prior to their usage in the association portion of the AP pipeline, using the PPDB interface.
New DIASources and versions of DIAObjects should then be written, again using the PPDB interface. The values/columns for these objects need to be in the form specified by the DPDD (LSE-163), with appropriate units and descriptions.
The PPDB interface is currently specified to use afw.table. A different Python object providing equivalent capabilities could be used if desired by both sides.
6 Writing Alerts to Alert Distribution¶
The Alert Production pipeline should convert DIASources and associated history and postage stamp images into Alerts in Apache Avro format. It should then issue Kafka messages to convey them to Alert Distribution and its downstream filters and brokers.