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|
%global _empty_manifest_terminate_build 0
Name: python-swmm-api
Version: 0.4.21
Release: 1
Summary: US-EPA-SWMM python interface
License: MIT
URL: https://gitlab.com/markuspichler/swmm_api
Source0: https://mirrors.nju.edu.cn/pypi/web/packages/5e/ff/9bce2f7bf96243b462d3effe7a6247825c99129741e233a87571573019c8/swmm-api-0.4.21.tar.gz
BuildArch: noarch
Requires: python3-pandas
Requires: python3-tqdm
Requires: python3-networkx
Requires: python3-fastparquet
Requires: python3-matplotlib
Requires: python3-Shapely
Requires: python3-pyproj
Requires: python3-Rtree
Requires: python3-geopandas
Requires: python3-SWMM-xsections-shape-generator
Requires: python3-sphinx
Requires: python3-nbsphinx
Requires: python3-recommonmark
Requires: python3-pydata-sphinx-theme
Requires: python3-networkx
Requires: python3-fastparquet
Requires: python3-matplotlib
Requires: python3-SWMM-xsections-shape-generator
Requires: python3-Shapely
Requires: python3-pyproj
Requires: python3-Rtree
Requires: python3-geopandas
Requires: python3-pyswmm
Requires: python3-Shapely
Requires: python3-pyproj
Requires: python3-Rtree
Requires: python3-geopandas
Requires: python3-networkx
Requires: python3-fastparquet
Requires: python3-matplotlib
Requires: python3-SWMM-xsections-shape-generator
Requires: python3-pyswmm
%description
This documentation will be continuously extended and enhanced.
If you have any question, don't hesitate to write the author and email or create an issue on GitLab or GitHub.
MORE INFORMATION COMING SOON
## Cite as
> *Pichler, Markus. (2022). swmm_api: API for reading, manipulating and running SWMM-Projects with python (0.3). Zenodo. https://doi.org/10.5281/zenodo.7054804*
## Publications mentioning swmm-api
- Baumann, H., Ravn, N. H., & Schaum, A. (2022). Efficient hydrodynamic modelling of urban stormwater systems for real-time applications. *Modelling, 3(4)*, 464–480. <https://doi.org/10.3390/modelling3040030>
- Farina, A., Di Nardo, A., Gargano, R., & Greco, R. (2022). Assessing the environmental impact of combined sewer overflows through a parametric study. *EWaS5*, 8. <https://doi.org/10.3390/environsciproc2022021008>
- Schilling, J., & Tränckner, J. (2022). Generate_swmm_inp: An open-source qgis plugin to import and export model input files for swmm. *Water, 14(14)*, 2262. <https://doi.org/10.3390/w14142262>
- Zhang, Z., Tian, W., & Liao, Z. (2023). Towards coordinated and robust real-time control: A decentralized approach for combined sewer overflow and urban flooding reduction based on multi-agent reinforcement learning. *Water Research, 229*, 119498. <https://doi.org/10.1016/j.watres.2022.119498>
- van der Werf, J. A., Kapelan Z., Langeveld, J. G. (2023). Predictive heuristic control: inferring risks from heterogeneous nowcast accuracy. *Water Sci Technol, ?(?)*. <https://doi.org/10.2166/wst.2023.027>
## Alternative packages
R-language:
- **swmmr** / [GitHub](https://github.com/dleutnant/swmmr) / [cran](https://cran.r-project.org/web/packages/swmmr/index.html)
python:
- **swmmio** / [docs](https://swmmio.readthedocs.io/en/latest/) / [pypi](https://pypi.org/project/swmmio/) / [GitHub](https://github.com/aerispaha/swmmio) / simular to this package but more high-level approach (= slower for specific tasks)
- **GisToSWMM5** / [GitHub](https://github.com/AaltoUrbanWater/GisToSWMM5) / converting gis data to swmm model (also possible with swmm_api: `swmm_api.input_file.macro_snippets.gis_standard_import` and `swmm_api.input_file.macro_snippets.gis_export`)
- **swmmtoolbox** / [GitHub](https://github.com/timcera/swmmtoolbox) / Thanks to _Tim Cera_ for this package! I used his package to understand the .out-files but completely rewrote the reading process in this package.
- **swmmnetwork** / [GitHub](https://github.com/austinorr/swmmnetwork) / create graph network from swmm model (see `swmm_api.input_file.macros.inp_to_graph`)
- **SWMMOutputAPI** / [GitHub](https://github.com/bemcdonnell/SWMMOutputAPI) / read the output file (see `swmm_api.output_file.out`) / (OpenWaterAnalytics)
- **swmm-pandas** / [pypi](https://pypi.org/project/swmm-pandas/) / equal functionalities to this package, but not feature complete
- **swmmout** / [pypi](https://pypi.org/project/swmmout/) / [docs](https://swmmout.readthedocs.io/en/latest/) / simular to `swmmtoolbox` and `SWMMOutputAPI`
- **swmmtonetcdf** / [pypi](https://pypi.org/project/swmmtonetcdf/) / [GitHub](https://github.com/cbuahin/swmmtonetcdf)
- **hymo** / [GitHub](https://github.com/lucashtnguyen/hymo) Input and Report Reader (Lucas Nguyen)
- **shmm** / [GitHub](https://github.com/lucashtnguyen/shmm) Input Reader (Lucas Nguyen)
- **swmmreport** / [GitHub](https://github.com/lucashtnguyen/swmmreport) Report Reader (Lucas Nguyen)
- **swmmdoodler** / [GitHub](https://github.com/Geosyntec/swmmdoodler)
### Other SWMM-related packages
python:
- **pyswmm** / [pypi](https://pypi.org/project/pyswmm/) / [GitHub](https://github.com/OpenWaterAnalytics/pyswmm) / RTC, etc. / based on swmm-toolkit (OpenWaterAnalytics)
- **swmm-toolkit** / [pypi](https://pypi.org/project/swmm-toolkit/) / [GitHub](https://github.com/OpenWaterAnalytics/swmm-python) / by Michael Tryby (OpenWaterAnalytics)
- **SWMM5** / [pypi](https://pypi.org/project/SWMM5/) / [GitHub](https://github.com/asselapathirana/swmm5-python) / simular approach to swmm-toolkit (by Assela Pathirana)
- **SWMM-xsections-shape-generator** / [pypi](https://pypi.org/project/SWMM-xsections-shape-generator/) / tool to generate custom shapes (by me)
- **SWMM_EA** / [pypi](https://pypi.org/project/SWMM5_EA/) / usage of genetic algorithms with SWMM (by Assela Pathirana)
- **OSTRICH-SWMM** / [GitHub](https://github.com/ubccr/ostrich-swmm) / OSTRICH optimization software toolkit with SWMM
%package -n python3-swmm-api
Summary: US-EPA-SWMM python interface
Provides: python-swmm-api
BuildRequires: python3-devel
BuildRequires: python3-setuptools
BuildRequires: python3-pip
%description -n python3-swmm-api
This documentation will be continuously extended and enhanced.
If you have any question, don't hesitate to write the author and email or create an issue on GitLab or GitHub.
MORE INFORMATION COMING SOON
## Cite as
> *Pichler, Markus. (2022). swmm_api: API for reading, manipulating and running SWMM-Projects with python (0.3). Zenodo. https://doi.org/10.5281/zenodo.7054804*
## Publications mentioning swmm-api
- Baumann, H., Ravn, N. H., & Schaum, A. (2022). Efficient hydrodynamic modelling of urban stormwater systems for real-time applications. *Modelling, 3(4)*, 464–480. <https://doi.org/10.3390/modelling3040030>
- Farina, A., Di Nardo, A., Gargano, R., & Greco, R. (2022). Assessing the environmental impact of combined sewer overflows through a parametric study. *EWaS5*, 8. <https://doi.org/10.3390/environsciproc2022021008>
- Schilling, J., & Tränckner, J. (2022). Generate_swmm_inp: An open-source qgis plugin to import and export model input files for swmm. *Water, 14(14)*, 2262. <https://doi.org/10.3390/w14142262>
- Zhang, Z., Tian, W., & Liao, Z. (2023). Towards coordinated and robust real-time control: A decentralized approach for combined sewer overflow and urban flooding reduction based on multi-agent reinforcement learning. *Water Research, 229*, 119498. <https://doi.org/10.1016/j.watres.2022.119498>
- van der Werf, J. A., Kapelan Z., Langeveld, J. G. (2023). Predictive heuristic control: inferring risks from heterogeneous nowcast accuracy. *Water Sci Technol, ?(?)*. <https://doi.org/10.2166/wst.2023.027>
## Alternative packages
R-language:
- **swmmr** / [GitHub](https://github.com/dleutnant/swmmr) / [cran](https://cran.r-project.org/web/packages/swmmr/index.html)
python:
- **swmmio** / [docs](https://swmmio.readthedocs.io/en/latest/) / [pypi](https://pypi.org/project/swmmio/) / [GitHub](https://github.com/aerispaha/swmmio) / simular to this package but more high-level approach (= slower for specific tasks)
- **GisToSWMM5** / [GitHub](https://github.com/AaltoUrbanWater/GisToSWMM5) / converting gis data to swmm model (also possible with swmm_api: `swmm_api.input_file.macro_snippets.gis_standard_import` and `swmm_api.input_file.macro_snippets.gis_export`)
- **swmmtoolbox** / [GitHub](https://github.com/timcera/swmmtoolbox) / Thanks to _Tim Cera_ for this package! I used his package to understand the .out-files but completely rewrote the reading process in this package.
- **swmmnetwork** / [GitHub](https://github.com/austinorr/swmmnetwork) / create graph network from swmm model (see `swmm_api.input_file.macros.inp_to_graph`)
- **SWMMOutputAPI** / [GitHub](https://github.com/bemcdonnell/SWMMOutputAPI) / read the output file (see `swmm_api.output_file.out`) / (OpenWaterAnalytics)
- **swmm-pandas** / [pypi](https://pypi.org/project/swmm-pandas/) / equal functionalities to this package, but not feature complete
- **swmmout** / [pypi](https://pypi.org/project/swmmout/) / [docs](https://swmmout.readthedocs.io/en/latest/) / simular to `swmmtoolbox` and `SWMMOutputAPI`
- **swmmtonetcdf** / [pypi](https://pypi.org/project/swmmtonetcdf/) / [GitHub](https://github.com/cbuahin/swmmtonetcdf)
- **hymo** / [GitHub](https://github.com/lucashtnguyen/hymo) Input and Report Reader (Lucas Nguyen)
- **shmm** / [GitHub](https://github.com/lucashtnguyen/shmm) Input Reader (Lucas Nguyen)
- **swmmreport** / [GitHub](https://github.com/lucashtnguyen/swmmreport) Report Reader (Lucas Nguyen)
- **swmmdoodler** / [GitHub](https://github.com/Geosyntec/swmmdoodler)
### Other SWMM-related packages
python:
- **pyswmm** / [pypi](https://pypi.org/project/pyswmm/) / [GitHub](https://github.com/OpenWaterAnalytics/pyswmm) / RTC, etc. / based on swmm-toolkit (OpenWaterAnalytics)
- **swmm-toolkit** / [pypi](https://pypi.org/project/swmm-toolkit/) / [GitHub](https://github.com/OpenWaterAnalytics/swmm-python) / by Michael Tryby (OpenWaterAnalytics)
- **SWMM5** / [pypi](https://pypi.org/project/SWMM5/) / [GitHub](https://github.com/asselapathirana/swmm5-python) / simular approach to swmm-toolkit (by Assela Pathirana)
- **SWMM-xsections-shape-generator** / [pypi](https://pypi.org/project/SWMM-xsections-shape-generator/) / tool to generate custom shapes (by me)
- **SWMM_EA** / [pypi](https://pypi.org/project/SWMM5_EA/) / usage of genetic algorithms with SWMM (by Assela Pathirana)
- **OSTRICH-SWMM** / [GitHub](https://github.com/ubccr/ostrich-swmm) / OSTRICH optimization software toolkit with SWMM
%package help
Summary: Development documents and examples for swmm-api
Provides: python3-swmm-api-doc
%description help
This documentation will be continuously extended and enhanced.
If you have any question, don't hesitate to write the author and email or create an issue on GitLab or GitHub.
MORE INFORMATION COMING SOON
## Cite as
> *Pichler, Markus. (2022). swmm_api: API for reading, manipulating and running SWMM-Projects with python (0.3). Zenodo. https://doi.org/10.5281/zenodo.7054804*
## Publications mentioning swmm-api
- Baumann, H., Ravn, N. H., & Schaum, A. (2022). Efficient hydrodynamic modelling of urban stormwater systems for real-time applications. *Modelling, 3(4)*, 464–480. <https://doi.org/10.3390/modelling3040030>
- Farina, A., Di Nardo, A., Gargano, R., & Greco, R. (2022). Assessing the environmental impact of combined sewer overflows through a parametric study. *EWaS5*, 8. <https://doi.org/10.3390/environsciproc2022021008>
- Schilling, J., & Tränckner, J. (2022). Generate_swmm_inp: An open-source qgis plugin to import and export model input files for swmm. *Water, 14(14)*, 2262. <https://doi.org/10.3390/w14142262>
- Zhang, Z., Tian, W., & Liao, Z. (2023). Towards coordinated and robust real-time control: A decentralized approach for combined sewer overflow and urban flooding reduction based on multi-agent reinforcement learning. *Water Research, 229*, 119498. <https://doi.org/10.1016/j.watres.2022.119498>
- van der Werf, J. A., Kapelan Z., Langeveld, J. G. (2023). Predictive heuristic control: inferring risks from heterogeneous nowcast accuracy. *Water Sci Technol, ?(?)*. <https://doi.org/10.2166/wst.2023.027>
## Alternative packages
R-language:
- **swmmr** / [GitHub](https://github.com/dleutnant/swmmr) / [cran](https://cran.r-project.org/web/packages/swmmr/index.html)
python:
- **swmmio** / [docs](https://swmmio.readthedocs.io/en/latest/) / [pypi](https://pypi.org/project/swmmio/) / [GitHub](https://github.com/aerispaha/swmmio) / simular to this package but more high-level approach (= slower for specific tasks)
- **GisToSWMM5** / [GitHub](https://github.com/AaltoUrbanWater/GisToSWMM5) / converting gis data to swmm model (also possible with swmm_api: `swmm_api.input_file.macro_snippets.gis_standard_import` and `swmm_api.input_file.macro_snippets.gis_export`)
- **swmmtoolbox** / [GitHub](https://github.com/timcera/swmmtoolbox) / Thanks to _Tim Cera_ for this package! I used his package to understand the .out-files but completely rewrote the reading process in this package.
- **swmmnetwork** / [GitHub](https://github.com/austinorr/swmmnetwork) / create graph network from swmm model (see `swmm_api.input_file.macros.inp_to_graph`)
- **SWMMOutputAPI** / [GitHub](https://github.com/bemcdonnell/SWMMOutputAPI) / read the output file (see `swmm_api.output_file.out`) / (OpenWaterAnalytics)
- **swmm-pandas** / [pypi](https://pypi.org/project/swmm-pandas/) / equal functionalities to this package, but not feature complete
- **swmmout** / [pypi](https://pypi.org/project/swmmout/) / [docs](https://swmmout.readthedocs.io/en/latest/) / simular to `swmmtoolbox` and `SWMMOutputAPI`
- **swmmtonetcdf** / [pypi](https://pypi.org/project/swmmtonetcdf/) / [GitHub](https://github.com/cbuahin/swmmtonetcdf)
- **hymo** / [GitHub](https://github.com/lucashtnguyen/hymo) Input and Report Reader (Lucas Nguyen)
- **shmm** / [GitHub](https://github.com/lucashtnguyen/shmm) Input Reader (Lucas Nguyen)
- **swmmreport** / [GitHub](https://github.com/lucashtnguyen/swmmreport) Report Reader (Lucas Nguyen)
- **swmmdoodler** / [GitHub](https://github.com/Geosyntec/swmmdoodler)
### Other SWMM-related packages
python:
- **pyswmm** / [pypi](https://pypi.org/project/pyswmm/) / [GitHub](https://github.com/OpenWaterAnalytics/pyswmm) / RTC, etc. / based on swmm-toolkit (OpenWaterAnalytics)
- **swmm-toolkit** / [pypi](https://pypi.org/project/swmm-toolkit/) / [GitHub](https://github.com/OpenWaterAnalytics/swmm-python) / by Michael Tryby (OpenWaterAnalytics)
- **SWMM5** / [pypi](https://pypi.org/project/SWMM5/) / [GitHub](https://github.com/asselapathirana/swmm5-python) / simular approach to swmm-toolkit (by Assela Pathirana)
- **SWMM-xsections-shape-generator** / [pypi](https://pypi.org/project/SWMM-xsections-shape-generator/) / tool to generate custom shapes (by me)
- **SWMM_EA** / [pypi](https://pypi.org/project/SWMM5_EA/) / usage of genetic algorithms with SWMM (by Assela Pathirana)
- **OSTRICH-SWMM** / [GitHub](https://github.com/ubccr/ostrich-swmm) / OSTRICH optimization software toolkit with SWMM
%prep
%autosetup -n swmm-api-0.4.21
%build
%py3_build
%install
%py3_install
install -d -m755 %{buildroot}/%{_pkgdocdir}
if [ -d doc ]; then cp -arf doc %{buildroot}/%{_pkgdocdir}; fi
if [ -d docs ]; then cp -arf docs %{buildroot}/%{_pkgdocdir}; fi
if [ -d example ]; then cp -arf example %{buildroot}/%{_pkgdocdir}; fi
if [ -d examples ]; then cp -arf examples %{buildroot}/%{_pkgdocdir}; fi
pushd %{buildroot}
if [ -d usr/lib ]; then
find usr/lib -type f -printf "/%h/%f\n" >> filelist.lst
fi
if [ -d usr/lib64 ]; then
find usr/lib64 -type f -printf "/%h/%f\n" >> filelist.lst
fi
if [ -d usr/bin ]; then
find usr/bin -type f -printf "/%h/%f\n" >> filelist.lst
fi
if [ -d usr/sbin ]; then
find usr/sbin -type f -printf "/%h/%f\n" >> filelist.lst
fi
touch doclist.lst
if [ -d usr/share/man ]; then
find usr/share/man -type f -printf "/%h/%f.gz\n" >> doclist.lst
fi
popd
mv %{buildroot}/filelist.lst .
mv %{buildroot}/doclist.lst .
%files -n python3-swmm-api -f filelist.lst
%dir %{python3_sitelib}/*
%files help -f doclist.lst
%{_docdir}/*
%changelog
* Tue May 30 2023 Python_Bot <Python_Bot@openeuler.org> - 0.4.21-1
- Package Spec generated
|
