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Move common resample code to stcal #8986

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@mcara mcara commented Nov 27, 2024

Closes #8695

This PR add the common resample code used by both JWST and Roman pipelines to stcal. For now only imaging mode was switched to the new code. This PR supersedes #8695

This work is related to https://jira.stsci.edu/browse/AL-835

The code in this PR requires the code from spacetelescope/stcal#320

Tasks

  • request a review from someone specific, to avoid making the maintainers review every PR
  • add a build milestone, i.e. Build 11.3 (use the latest build if not sure)
  • Does this PR change user-facing code / API? (if not, label with no-changelog-entry-needed)
    • write news fragment(s) in changes/: echo "changed something" > changes/<PR#>.<changetype>.rst (see below for change types)
    • update or add relevant tests
    • update relevant docstrings and / or docs/ page
    • start a regression test and include a link to the running job (click here for instructions)
      • Do truth files need to be updated ("okified")?
        • after the reviewer has approved these changes, run okify_regtests to update the truth files
  • if a JIRA ticket exists, make sure it is resolved properly
news fragment change types...
  • changes/<PR#>.general.rst: infrastructure or miscellaneous change
  • changes/<PR#>.docs.rst
  • changes/<PR#>.stpipe.rst
  • changes/<PR#>.datamodels.rst
  • changes/<PR#>.scripts.rst
  • changes/<PR#>.fits_generator.rst
  • changes/<PR#>.set_telescope_pointing.rst
  • changes/<PR#>.pipeline.rst

stage 1

  • changes/<PR#>.group_scale.rst
  • changes/<PR#>.dq_init.rst
  • changes/<PR#>.emicorr.rst
  • changes/<PR#>.saturation.rst
  • changes/<PR#>.ipc.rst
  • changes/<PR#>.firstframe.rst
  • changes/<PR#>.lastframe.rst
  • changes/<PR#>.reset.rst
  • changes/<PR#>.superbias.rst
  • changes/<PR#>.refpix.rst
  • changes/<PR#>.linearity.rst
  • changes/<PR#>.rscd.rst
  • changes/<PR#>.persistence.rst
  • changes/<PR#>.dark_current.rst
  • changes/<PR#>.charge_migration.rst
  • changes/<PR#>.jump.rst
  • changes/<PR#>.clean_flicker_noise.rst
  • changes/<PR#>.ramp_fitting.rst
  • changes/<PR#>.gain_scale.rst

stage 2

  • changes/<PR#>.assign_wcs.rst
  • changes/<PR#>.badpix_selfcal.rst
  • changes/<PR#>.msaflagopen.rst
  • changes/<PR#>.nsclean.rst
  • changes/<PR#>.imprint.rst
  • changes/<PR#>.background.rst
  • changes/<PR#>.extract_2d.rst
  • changes/<PR#>.master_background.rst
  • changes/<PR#>.wavecorr.rst
  • changes/<PR#>.srctype.rst
  • changes/<PR#>.straylight.rst
  • changes/<PR#>.wfss_contam.rst
  • changes/<PR#>.flatfield.rst
  • changes/<PR#>.fringe.rst
  • changes/<PR#>.pathloss.rst
  • changes/<PR#>.barshadow.rst
  • changes/<PR#>.photom.rst
  • changes/<PR#>.pixel_replace.rst
  • changes/<PR#>.resample_spec.rst
  • changes/<PR#>.residual_fringe.rst
  • changes/<PR#>.cube_build.rst
  • changes/<PR#>.extract_1d.rst
  • changes/<PR#>.resample.rst

stage 3

  • changes/<PR#>.assign_mtwcs.rst
  • changes/<PR#>.mrs_imatch.rst
  • changes/<PR#>.tweakreg.rst
  • changes/<PR#>.skymatch.rst
  • changes/<PR#>.exp_to_source.rst
  • changes/<PR#>.outlier_detection.rst
  • changes/<PR#>.tso_photometry.rst
  • changes/<PR#>.stack_refs.rst
  • changes/<PR#>.align_refs.rst
  • changes/<PR#>.klip.rst
  • changes/<PR#>.spectral_leak.rst
  • changes/<PR#>.source_catalog.rst
  • changes/<PR#>.combine_1d.rst
  • changes/<PR#>.ami.rst

other

  • changes/<PR#>.wfs_combine.rst
  • changes/<PR#>.white_light.rst
  • changes/<PR#>.cube_skymatch.rst
  • changes/<PR#>.engdb_tools.rst
  • changes/<PR#>.guider_cds.rst

@mcara mcara added the resample label Nov 27, 2024
@mcara mcara self-assigned this Nov 27, 2024
@mcara mcara requested a review from a team as a code owner November 27, 2024 17:00
@mcara mcara force-pushed the new-resample-cls2 branch from adc3ca4 to c7286ee Compare November 27, 2024 17:21
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codecov bot commented Nov 27, 2024

Codecov Report

Attention: Patch coverage is 91.78470% with 29 lines in your changes missing coverage. Please review.

Project coverage is 64.35%. Comparing base (a9ab10a) to head (d156471).
Report is 7 commits behind head on main.

Files with missing lines Patch % Lines
jwst/resample/resample_spec_step.py 62.50% 9 Missing ⚠️
jwst/resample/resample_spec.py 91.39% 8 Missing ⚠️
jwst/resample/resample.py 96.36% 6 Missing ⚠️
jwst/resample/resample_utils.py 89.74% 4 Missing ⚠️
jwst/resample/resample_step.py 75.00% 2 Missing ⚠️
Additional details and impacted files
@@            Coverage Diff             @@
##             main    #8986      +/-   ##
==========================================
- Coverage   64.54%   64.35%   -0.20%     
==========================================
  Files         375      375              
  Lines       38737    38638      -99     
==========================================
- Hits        25002    24864     -138     
- Misses      13735    13774      +39     

☔ View full report in Codecov by Sentry.
📢 Have feedback on the report? Share it here.

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@braingram braingram left a comment

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Thanks for putting this together.

I'd like to see the CI run and regression tests for this PR. I added one comment about psutil which should fix one of the issues preventing the CI from running.

Would you update the pyproject.toml to point to the source branch of spacetelescope/stcal#320? That should (hopefully) allow the CI to run so we can see the coverage and test results with this PR.

Also would you queue up a regtest run?

jwst/resample/resample.py Outdated Show resolved Hide resolved
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mcara commented Nov 28, 2024

'v3yangle', 'vparity']
for key in rm_keys:
if key in model.meta.wcsinfo.instance:
del model.meta.wcsinfo.instance[key]


class ResampleData:
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I'm a bit confused about why the majority of ResampleData hasn't been removed, as it appears that functionality is mostly what got moved to stcal. What would it take to allow large portions (or all) of this class to be removed?

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Same question here: weren't a lot of the functions in here moved to stcal, so shouldn't they be removed from here?

@mcara mcara force-pushed the new-resample-cls2 branch from 1db5ba1 to 679aa51 Compare December 3, 2024 18:29
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mcara commented Dec 4, 2024

Initial regression tests that were using the new code only for imaging are: https://github.com/spacetelescope/RegressionTests/actions/runs/12146883313

After switching spectral code to use the new class, here are the results of regression tests: https://github.com/spacetelescope/RegressionTests/actions/runs/12155412170

I most failures that I see are unrelated to my code, I think (such as test_miri_image_detector1[ramp], test_miri_image_detector1[rate], ...). The spectral test failures have new header cards and these could be OKified. Spectral tests are easily identifiable by Extra keyword 'NDRIZ' - these are spectral tests with extra meta info (related to resample). Imaging tests should be OK.

@mcara mcara marked this pull request as ready for review December 4, 2024 14:42
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This is looking great Mihai! Thanks for all the hard work. Most of these comments are minor.

It still feels a bit sad to have to convert the datamodels into dictionaries to pass into stcal, but I can't really think of a better way to do it while maintaining the observatory-agnostic nature of stcal. So I guess I'm happy with it. Maybe it's a bit easier on the romancal side when working with asdf files as compared with fits?

in_memory = not input_models._on_disk
indices_by_group = list(input_models.group_indices.values())
ngroups = len(indices_by_group)

return_error = return_error and (resamp.compute_err == "driz_err")
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Perhaps it would be a good idea to have a warning if return_error is True but the other conditional is not satisfied? Otherwise a user may wonder why the error is not being returned even though they specified it

Comment on lines +61 to +64
input_models : LibModelAccessBase
A `LibModelAccessBase`-based object allowing iterating over
all contained models of interest.

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Where is this type defined? Is there any meaningful case here where this would be anything but ModelLibrary? If not, I suggest just making the type ModelLibrary for clarity


return model_dict

def create_output_jwst_model(self, ref_input_model=None):
""" Create a new blank model and update it's meta with info from ``ref_input_model``. """
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Suggested change
""" Create a new blank model and update it's meta with info from ``ref_input_model``. """
""" Create a new blank model and update its meta with info from ``ref_input_model``. """

model.meta.photometry.pixelarea_arcsecsq = info_dict["pixelarea_arcsecsq"]

model.meta.resample.pointings = info_dict["pointings"]
# model.meta.resample.n_coadds = info_dict["n_coadds"]
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If this is not needed then remove

Comment on lines +500 to +501
# else:
# assign_wcs_util.update_s_region_spectral(self.output_jwst_model)
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Suggested change
# else:
# assign_wcs_util.update_s_region_spectral(self.output_jwst_model)

@@ -386,390 +625,64 @@ def resample_many_to_many(self, input_models):
asn_dict = json.loads(asn.dump()[1]) # serializes the asn and converts to dict
return ModelLibrary(asn_dict, on_disk=True)

def resample_many_to_one(self, input_models):
def resample_many_to_one(self):
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this is great! it's so compact!

Comment on lines +228 to +230
def input_model_to_dict(self, model):
model_dict = super().input_model_to_dict(model)
return model_dict
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Does this do anything different than super().input_model_to_dict()? If not can it be removed?

Comment on lines +252 to +258
# delete these to reduce the number of failures in the regression tests
# TODO: this is helpful info that should be stored in products.
# del model.meta.resample.pixel_scale_ratio
# del model.meta.resample.pixfrac
# del model.meta.resample.weight_type
# del model.meta.resample.pointings
# del model.meta.cal_step.resample
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Can you elaborate on why these cause failures? should these be reinstated before merge?

# del model.meta.resample.pointings
# del model.meta.cal_step.resample

def build_nirspec_output_wcs(self, input_models, refmodel=None,
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It looks to me like this never uses self, is that true?

Comment on lines +119 to +123
# with result:
# if len(result) == 1:
# model = result.borrow(0)
# result.shelve(model, 0, modify=False)
# return model
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Suggested change
# with result:
# if len(result) == 1:
# model = result.borrow(0)
# result.shelve(model, 0, modify=False)
# return model

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