sweets looks for removed module in dolphin?

[Shima-shoki]

Hi, I've recently got to know this module to handle S1 InSAR processings.
I'm using Google Colab to run the code, so I installed the module to a fresh Linux environment by using mamba.
However, it looks like the sweets module is trying to find "opera_utils" in dolphin, which is not existent right now.
The error message is listed below

Traceback (most recent call last):
  File "/usr/local/bin/sweets", line 10, in <module>
    sys.exit(main())
             ^^^^^^
  File "/usr/local/lib/python3.11/site-packages/sweets/cli.py", line 237, in main
    func(arg_dict)
  File "/usr/local/lib/python3.11/site-packages/sweets/cli.py", line 222, in create_config
    from sweets.core import Workflow
  File "/usr/local/lib/python3.11/site-packages/sweets/core.py", line 13, in <module>
    from dolphin.opera_utils import group_by_burst
ModuleNotFoundError: No module named 'dolphin.opera_utils'

*Log messages at the installation step

• libgfortran-ng 14.2.0 h69a702a_2 conda-forge Cached
• lz4 4.3.3 py311h8c6ae76_2 conda-forge Cached
• msgpack-python 1.1.0 py311hd18a35c_0 conda-forge Cached
• psutil 7.0.0 py311h9ecbd09_0 conda-forge Cached
• tornado 6.4.2 py311h9ecbd09_0 conda-forge 856kB
• openjpeg 2.5.3 h5fbd93e_0 conda-forge 343kB
• libasprintf 0.23.1 h8e693c7_0 conda-forge 43kB
• libgettextpo 0.23.1 h5888daf_0 conda-forge 167kB
• charls 2.4.2 h59595ed_0 conda-forge Cached
• libbrotlicommon 1.1.0 hb9d3cd8_2 conda-forge 69kB
• yaml 0.2.5 h7f98852_2 conda-forge 89kB
• freetype 2.13.3 h48d6fc4_0 conda-forge 640kB
• lcms2 2.17 h717163a_0 conda-forge 248kB
• pthread-stubs 0.4 hb9d3cd8_1002 conda-forge 8kB
• xorg-libxdmcp 1.1.5 hb9d3cd8_0 conda-forge 20kB
• xorg-libxau 1.0.12 hb9d3cd8_0 conda-forge 15kB
• jxrlib 1.1 hd590300_3 conda-forge 239kB
• libhwy 1.1.0 h00ab1b0_0 conda-forge 1MB
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• markupsafe 3.0.2 py311h2dc5d0c_1 conda-forge 25kB
• gtest 1.16.0 h84d6215_0 conda-forge 414kB
• libunistring 0.9.10 h7f98852_0 conda-forge 1MB
• libzopfli 1.0.3 h9c3ff4c_0 conda-forge 168kB
• fftw 3.3.10 nompi_hf1063bd_110 conda-forge 2MB
• pywavelets 1.8.0 py311h9f3472d_0 conda-forge 4MB
• pyre 1.12.5 py311h907ad73_4 conda-forge 2MB
• libbrotlienc 1.1.0 hb9d3cd8_2 conda-forge 282kB
• libbrotlidec 1.1.0 hb9d3cd8_2 conda-forge 33kB
• pyyaml 6.0.2 py311h2dc5d0c_2 conda-forge 213kB
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• wget 1.21.4 hda4d442_0 conda-forge 770kB
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• imagecodecs 2024.12.30 py311h9971d45_0 conda-forge 2MB
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• mdurl 0.1.2 pyhd8ed1ab_1 conda-forge 14kB
• cloudpickle 3.1.1 pyhd8ed1ab_0 conda-forge 26kB
• sortedcontainers 2.4.0 pyhd8ed1ab_1 conda-forge 29kB
• tblib 3.1.0 pyhd8ed1ab_0 conda-forge 18kB
• toolz 1.0.0 pyhd8ed1ab_1 conda-forge 52kB
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• fsspec 2025.3.2 pyhd8ed1ab_0 conda-forge 142kB
• lazy-loader 0.4 pyhd8ed1ab_2 conda-forge 16kB
• networkx 3.4.2 pyh267e887_2 conda-forge 1MB
• python-tzdata 2025.2 pyhd8ed1ab_0 conda-forge 144kB
• pytz 2024.1 pyhd8ed1ab_0 conda-forge 189kB
• importlib_resources 6.5.2 pyhd8ed1ab_0 conda-forge 34kB
• backoff 2.2.1 pyhd8ed1ab_1 conda-forge 19kB
• sardem 0.11.3 pyhd8ed1ab_1 conda-forge 32kB
• jinja2 3.1.6 pyhd8ed1ab_0 conda-forge 113kB
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• imageio 2.37.0 pyhfb79c49_0 conda-forge 293kB
• tifffile 2025.3.30 pyhd8ed1ab_0 conda-forge 180kB
• markdown-it-py 3.0.0 pyhd8ed1ab_1 conda-forge 64kB
• partd 1.4.2 pyhd8ed1ab_0 conda-forge 21kB
• lazy_loader 0.4 pyhd8ed1ab_2 conda-forge 7kB
• importlib-resources 6.5.2 pyhd8ed1ab_0 conda-forge 10kB
• bokeh 2.4.3 pyhd8ed1ab_3 conda-forge 14MB
• rich 14.0.0 pyh29332c3_0 conda-forge 200kB
• dask-core 2023.3.0 pyhd8ed1ab_0 conda-forge 837kB
• cytoolz 1.0.1 py311h9ecbd09_0 conda-forge 394kB
• pandas 2.2.3 py311h7db5c69_1 conda-forge 16MB
• isce3 0.24.3 py311cuda126h1234567_3_cuda conda-forge 7MB
• scikit-image 0.25.2 py311h7db5c69_0 conda-forge 11MB
• distributed 2023.3.0 pyhd8ed1ab_0 conda-forge 750kB
• xarray 2024.3.0 pyhd8ed1ab_0 conda-forge 765kB
• s1reader 0.2.4 pyhd8ed1ab_1 conda-forge 3MB
• dask 2023.3.0 pyhd8ed1ab_0 conda-forge 7kB
• rioxarray 0.18.1 pyhd8ed1ab_0 conda-forge 52kB
• compass 0.5.4 pyhd8ed1ab_1 conda-forge 871kB
• sweets 0.2.2 pyhd8ed1ab_0 conda-forge 43kB

Downgrade:
──────────────────────────────────────────────────────────────────────────────────────────

• numpy 2.2.4 py311h5d046bc_0 conda-forge Cached

• numpy 1.26.4 py311h64a7726_0 conda-forge 8MB

• scipy 1.15.2 py311h8f841c2_0 conda-forge Cached

• scipy 1.12.0 py311h64a7726_2 conda-forge 17MB

Summary:

Install: 81 packages
Downgrade: 2 packages

Total download: 148MB

[scottstanie]

Ah https://github.com/isce-framework/sweets/blob/main/src/sweets/core.py#L19 that switch was changed awhile ago, but looks like it needs to be updated on conda/pip. I'll do a release once I get a chance to merge more of @Jaapel 's recent fixes

[Shima-shoki]

@scottstanie

it needs to be updated on conda/pip

Well noted with the change in the module :)
I’ll try to cloning the repository rather than the conda option for now.