Details
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Type:
Story
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Status: Invalid
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Resolution: Done
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Fix Version/s: None
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Component/s: pipe_tasks
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Labels:None
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Story Points:6
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Epic Link:
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Sprint:DRP F16-4
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Team:Data Release Production
Description
Once DM-3472 lands, it will be possible to write an image selection task that uses the SQLite 3 database produced by IndexExposureTask (from daf_ingest) to search for exposures overlapping a region (in particular, the spatial extent of a coadd patch). The _rtree_search method in test_index_exposure.py (also from daf_ingest) has an example of how to perform spatial queries quickly.
I was originally scheduled to do something in this space, but Paul mentioned that he had plans to refactor the image selection tasks already, and is much more familiar with the pipeline side of things than I am. Therefore, I'm handing off the implementation of the pipeline task mentioned in DM-3472 to him.
Attachments
Issue Links
Activity
Epic Link |
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Story Points | 5 |
Sprint | DRP X16-3 [ 217 ] |
Sprint | DRP X16-3 [ 217 ] |
Story Points | 5 | 6 |
Sprint | DRP F16-1 [ 225 ] |
Sprint | DRP F16-1 [ 225 ] | DRP F16-2 [ 231 ] |
Sprint | DRP F16-2 [ 231 ] | DRP F16-3 [ 237 ] |
Sprint | DRP F16-3 [ 237 ] | DRP F16-4 [ 246 ] |
Sprint | DRP F16-4 [ 246 ] | DRP F16-4, DRP F16-5 [ 246, 252 ] |
Rank | Ranked higher |
Sprint | DRP F16-4, DRP F16-5 [ 246, 252 ] | DRP F16-4, DRP F16-6 [ 246, 287 ] |
Sprint | DRP F16-4, DRP F16-6 [ 246, 287 ] | DRP F16-4 [ 246 ] |
Resolution | Done [ 10000 ] | |
Status | To Do [ 10001 ] | Invalid [ 11005 ] |
Risk Score | 0 |
Paul Price – I imagine that we'll want to tackle this in the May sprint. I've stubbed in a first guess at roughly how many story points might be involved, but please feel free to adjust that if you think it necessary.