%global _empty_manifest_terminate_build 0 Name: python-asf-search Version: 6.4.0 Release: 1 Summary: Python wrapper for ASF's SearchAPI License: BSD URL: https://github.com/asfadmin/Discovery-asf_search.git Source0: https://mirrors.nju.edu.cn/pypi/web/packages/85/d8/34b03128482031dc3c033a3c33a08e4403860cb54cb0ac2df63d773f0408/asf_search-6.4.0.tar.gz BuildArch: noarch Requires: python3-requests Requires: python3-shapely Requires: python3-dateutil Requires: python3-pytz Requires: python3-importlib-metadata Requires: python3-numpy Requires: python3-dateparser Requires: python3-remotezip Requires: python3-tenacity Requires: python3-pytest Requires: python3-pytest-automation Requires: python3-pytest-cov Requires: python3-pytest-xdist Requires: python3-coverage Requires: python3-requests-mock Requires: python3-nbformat Requires: python3-nbconvert Requires: python3-ipykernel %description # asf_search [![PyPI version](https://img.shields.io/pypi/v/asf_search.svg)](https://pypi.python.org/pypi/asf_search/) [![Conda version](https://img.shields.io/conda/vn/conda-forge/asf_search)](https://anaconda.org/conda-forge/asf_search) [![PyPI pyversions](https://img.shields.io/pypi/pyversions/asf_search.svg)](https://pypi.python.org/pypi/asf_search/) [![PyPI license](https://img.shields.io/pypi/l/asf_search.svg)](https://pypi.python.org/pypi/asf_search/) [![CodeFactor](https://www.codefactor.io/repository/github/asfadmin/discovery-asf_search/badge)](https://www.codefactor.io/repository/github/asfadmin/discovery-asf_search) [![Github workflow](https://github.com/asfadmin/asf_search/actions/workflows/run-pytest.yml/badge.svg)](https://github.com/asfadmin/Discovery-asf_search/actions/workflows/run-pytest.yml) ![CodeCov](https://img.shields.io/codecov/c/github/asfadmin/Discovery-asf_search/master) [![Documentation](https://img.shields.io/badge/docs-at_ASF-green)](https://docs.asf.alaska.edu/asf_search/basics/) [![Join the chat at https://gitter.im/ASFDiscovery/asf_search](https://badges.gitter.im/ASFDiscovery/asf_search.svg)](https://gitter.im/ASFDiscovery/asf_search?utm_source=badge&utm_medium=badge&utm_campaign=pr-badge&utm_content=badge) Python wrapper for the ASF SearchAPI ```python import asf_search as asf results = asf.granule_search(['ALPSRS279162400', 'ALPSRS279162200']) print(results) wkt = 'POLYGON((-135.7 58.2,-136.6 58.1,-135.8 56.9,-134.6 56.1,-134.9 58.0,-135.7 58.2))' results = asf.geo_search(platform=[asf.PLATFORM.SENTINEL1], intersectsWith=wkt, maxResults=10) print(results) ``` ## Install In order to easily manage dependencies, we recommend using dedicated project environments via [Anaconda/Miniconda](https://docs.conda.io/projects/conda/en/latest/user-guide/install/index.html) or [Python virtual environments](https://docs.python.org/3/tutorial/venv.html). asf_search can be installed into a conda environment with ```bash conda install -c conda-forge asf_search ``` or into a virtual environment with ```bash python3 -m pip install asf_search ``` To install pytest/cov packages for testing, along with the minimal packages: ```bash python3 -m pip install asf_search[test] ``` ## Usage _Full documentation is available at https://docs.asf.alaska.edu/asf_search/basics/_ Programmatically searching for ASF data is made simple with asf_search. Several search functions are provided: - `geo_search()` Find product info over an area of interest using a WKT string - `granule_search()` Find product info using a list of scenes - `product_search()` Find product info using a list of products - `search()` Find product info using any combination combination of search parameters - `stack()` Find a baseline stack of products using a reference scene - Additionally, numerous constants are provided to ease the search process Additionally, asf_search support downloading data, both from search results as provided by the above search functions, and directly on product URLs. An authenticated session is generally required. This is provided by the `ASFSession` class, and use of one of its three authentication methods: - `auth_with_creds('user', 'pass)` - `auth_with_token('EDL token')` - `auth_with_cookiejar(http.cookiejar)` That session should be passed to whichever download method is being called, can be re-used, and is thread safe. Examples: ```python results = asf_search.granule_search([...]) session = asf_search.ASFSession() session.auth_with_creds('user', 'pass') results.download(path='/Users/SARGuru/data', session=session) ``` Alternately, downloading a list of URLs contained in `urls` and creating the session inline: ```python urls = [...] asf_search.download_urls(urls=urls, path='/Users/SARGuru/data', session=ASFSession().auth_with_token('EDL token')) ``` Also note that `ASFSearchResults.download()` and the generic `download_urls()` function both accept a `processes` parameter which allows for parallel downloads. Further examples of all of the above can be found in `examples/` ## Development ### Branching
Instance Branch Description, Instructions, Notes
Stable stable Accepts merges from Working and Hotfixes
Working master Accepts merges from Features/Issues and Hotfixes
Features/Issues topic-* Always branch off HEAD of Working
Hotfix hotfix-* Always branch off Stable
For an extended description of our workflow, see https://gist.github.com/digitaljhelms/4287848 ### Enable Logging We use standard the standard `logging` in our package for output. Heres a basic example for hooking into it with your application: ```python import asf_search as asf import logging ASF_LOGGER = logging.getLogger("asf_search") formatter = logging.Formatter('[ %(asctime)s (%(name)s) %(filename)s:%(lineno)d ] %(levelname)s - %(message)s') # Get output to the console: stream_handle = logging.StreamHandler() stream_handle.setFormatter(formatter) ASF_LOGGER.addHandler(stream_handle) # If you want it write to a file too: file_handle = logging.FileHandler('MyCustomApp.log') file_handle.setFormatter(formatter) ASF_LOGGER.addHandler(file_handle) # Only see messages that might affect you ASF_LOGGER.setLevel(logging.WARNING) # Test if the logger throws an error, you see it as expected: ASF_LOGGER.error("This is only a drill. Please do not panic.") # Should output this: # [ 2023-01-17 10:04:53,780 (asf_search) main.py:42 ] ERROR - This is only a drill. Please do not panic. ``` For more configure options on `logging`, please visit [their howto page](https://docs.python.org/3/howto/logging.html). %package -n python3-asf-search Summary: Python wrapper for ASF's SearchAPI Provides: python-asf-search BuildRequires: python3-devel BuildRequires: python3-setuptools BuildRequires: python3-pip %description -n python3-asf-search # asf_search [![PyPI version](https://img.shields.io/pypi/v/asf_search.svg)](https://pypi.python.org/pypi/asf_search/) [![Conda version](https://img.shields.io/conda/vn/conda-forge/asf_search)](https://anaconda.org/conda-forge/asf_search) [![PyPI pyversions](https://img.shields.io/pypi/pyversions/asf_search.svg)](https://pypi.python.org/pypi/asf_search/) [![PyPI license](https://img.shields.io/pypi/l/asf_search.svg)](https://pypi.python.org/pypi/asf_search/) [![CodeFactor](https://www.codefactor.io/repository/github/asfadmin/discovery-asf_search/badge)](https://www.codefactor.io/repository/github/asfadmin/discovery-asf_search) [![Github workflow](https://github.com/asfadmin/asf_search/actions/workflows/run-pytest.yml/badge.svg)](https://github.com/asfadmin/Discovery-asf_search/actions/workflows/run-pytest.yml) ![CodeCov](https://img.shields.io/codecov/c/github/asfadmin/Discovery-asf_search/master) [![Documentation](https://img.shields.io/badge/docs-at_ASF-green)](https://docs.asf.alaska.edu/asf_search/basics/) [![Join the chat at https://gitter.im/ASFDiscovery/asf_search](https://badges.gitter.im/ASFDiscovery/asf_search.svg)](https://gitter.im/ASFDiscovery/asf_search?utm_source=badge&utm_medium=badge&utm_campaign=pr-badge&utm_content=badge) Python wrapper for the ASF SearchAPI ```python import asf_search as asf results = asf.granule_search(['ALPSRS279162400', 'ALPSRS279162200']) print(results) wkt = 'POLYGON((-135.7 58.2,-136.6 58.1,-135.8 56.9,-134.6 56.1,-134.9 58.0,-135.7 58.2))' results = asf.geo_search(platform=[asf.PLATFORM.SENTINEL1], intersectsWith=wkt, maxResults=10) print(results) ``` ## Install In order to easily manage dependencies, we recommend using dedicated project environments via [Anaconda/Miniconda](https://docs.conda.io/projects/conda/en/latest/user-guide/install/index.html) or [Python virtual environments](https://docs.python.org/3/tutorial/venv.html). asf_search can be installed into a conda environment with ```bash conda install -c conda-forge asf_search ``` or into a virtual environment with ```bash python3 -m pip install asf_search ``` To install pytest/cov packages for testing, along with the minimal packages: ```bash python3 -m pip install asf_search[test] ``` ## Usage _Full documentation is available at https://docs.asf.alaska.edu/asf_search/basics/_ Programmatically searching for ASF data is made simple with asf_search. Several search functions are provided: - `geo_search()` Find product info over an area of interest using a WKT string - `granule_search()` Find product info using a list of scenes - `product_search()` Find product info using a list of products - `search()` Find product info using any combination combination of search parameters - `stack()` Find a baseline stack of products using a reference scene - Additionally, numerous constants are provided to ease the search process Additionally, asf_search support downloading data, both from search results as provided by the above search functions, and directly on product URLs. An authenticated session is generally required. This is provided by the `ASFSession` class, and use of one of its three authentication methods: - `auth_with_creds('user', 'pass)` - `auth_with_token('EDL token')` - `auth_with_cookiejar(http.cookiejar)` That session should be passed to whichever download method is being called, can be re-used, and is thread safe. Examples: ```python results = asf_search.granule_search([...]) session = asf_search.ASFSession() session.auth_with_creds('user', 'pass') results.download(path='/Users/SARGuru/data', session=session) ``` Alternately, downloading a list of URLs contained in `urls` and creating the session inline: ```python urls = [...] asf_search.download_urls(urls=urls, path='/Users/SARGuru/data', session=ASFSession().auth_with_token('EDL token')) ``` Also note that `ASFSearchResults.download()` and the generic `download_urls()` function both accept a `processes` parameter which allows for parallel downloads. Further examples of all of the above can be found in `examples/` ## Development ### Branching
Instance Branch Description, Instructions, Notes
Stable stable Accepts merges from Working and Hotfixes
Working master Accepts merges from Features/Issues and Hotfixes
Features/Issues topic-* Always branch off HEAD of Working
Hotfix hotfix-* Always branch off Stable
For an extended description of our workflow, see https://gist.github.com/digitaljhelms/4287848 ### Enable Logging We use standard the standard `logging` in our package for output. Heres a basic example for hooking into it with your application: ```python import asf_search as asf import logging ASF_LOGGER = logging.getLogger("asf_search") formatter = logging.Formatter('[ %(asctime)s (%(name)s) %(filename)s:%(lineno)d ] %(levelname)s - %(message)s') # Get output to the console: stream_handle = logging.StreamHandler() stream_handle.setFormatter(formatter) ASF_LOGGER.addHandler(stream_handle) # If you want it write to a file too: file_handle = logging.FileHandler('MyCustomApp.log') file_handle.setFormatter(formatter) ASF_LOGGER.addHandler(file_handle) # Only see messages that might affect you ASF_LOGGER.setLevel(logging.WARNING) # Test if the logger throws an error, you see it as expected: ASF_LOGGER.error("This is only a drill. Please do not panic.") # Should output this: # [ 2023-01-17 10:04:53,780 (asf_search) main.py:42 ] ERROR - This is only a drill. Please do not panic. ``` For more configure options on `logging`, please visit [their howto page](https://docs.python.org/3/howto/logging.html). %package help Summary: Development documents and examples for asf-search Provides: python3-asf-search-doc %description help # asf_search [![PyPI version](https://img.shields.io/pypi/v/asf_search.svg)](https://pypi.python.org/pypi/asf_search/) [![Conda version](https://img.shields.io/conda/vn/conda-forge/asf_search)](https://anaconda.org/conda-forge/asf_search) [![PyPI pyversions](https://img.shields.io/pypi/pyversions/asf_search.svg)](https://pypi.python.org/pypi/asf_search/) [![PyPI license](https://img.shields.io/pypi/l/asf_search.svg)](https://pypi.python.org/pypi/asf_search/) [![CodeFactor](https://www.codefactor.io/repository/github/asfadmin/discovery-asf_search/badge)](https://www.codefactor.io/repository/github/asfadmin/discovery-asf_search) [![Github workflow](https://github.com/asfadmin/asf_search/actions/workflows/run-pytest.yml/badge.svg)](https://github.com/asfadmin/Discovery-asf_search/actions/workflows/run-pytest.yml) ![CodeCov](https://img.shields.io/codecov/c/github/asfadmin/Discovery-asf_search/master) [![Documentation](https://img.shields.io/badge/docs-at_ASF-green)](https://docs.asf.alaska.edu/asf_search/basics/) [![Join the chat at https://gitter.im/ASFDiscovery/asf_search](https://badges.gitter.im/ASFDiscovery/asf_search.svg)](https://gitter.im/ASFDiscovery/asf_search?utm_source=badge&utm_medium=badge&utm_campaign=pr-badge&utm_content=badge) Python wrapper for the ASF SearchAPI ```python import asf_search as asf results = asf.granule_search(['ALPSRS279162400', 'ALPSRS279162200']) print(results) wkt = 'POLYGON((-135.7 58.2,-136.6 58.1,-135.8 56.9,-134.6 56.1,-134.9 58.0,-135.7 58.2))' results = asf.geo_search(platform=[asf.PLATFORM.SENTINEL1], intersectsWith=wkt, maxResults=10) print(results) ``` ## Install In order to easily manage dependencies, we recommend using dedicated project environments via [Anaconda/Miniconda](https://docs.conda.io/projects/conda/en/latest/user-guide/install/index.html) or [Python virtual environments](https://docs.python.org/3/tutorial/venv.html). asf_search can be installed into a conda environment with ```bash conda install -c conda-forge asf_search ``` or into a virtual environment with ```bash python3 -m pip install asf_search ``` To install pytest/cov packages for testing, along with the minimal packages: ```bash python3 -m pip install asf_search[test] ``` ## Usage _Full documentation is available at https://docs.asf.alaska.edu/asf_search/basics/_ Programmatically searching for ASF data is made simple with asf_search. Several search functions are provided: - `geo_search()` Find product info over an area of interest using a WKT string - `granule_search()` Find product info using a list of scenes - `product_search()` Find product info using a list of products - `search()` Find product info using any combination combination of search parameters - `stack()` Find a baseline stack of products using a reference scene - Additionally, numerous constants are provided to ease the search process Additionally, asf_search support downloading data, both from search results as provided by the above search functions, and directly on product URLs. An authenticated session is generally required. This is provided by the `ASFSession` class, and use of one of its three authentication methods: - `auth_with_creds('user', 'pass)` - `auth_with_token('EDL token')` - `auth_with_cookiejar(http.cookiejar)` That session should be passed to whichever download method is being called, can be re-used, and is thread safe. Examples: ```python results = asf_search.granule_search([...]) session = asf_search.ASFSession() session.auth_with_creds('user', 'pass') results.download(path='/Users/SARGuru/data', session=session) ``` Alternately, downloading a list of URLs contained in `urls` and creating the session inline: ```python urls = [...] asf_search.download_urls(urls=urls, path='/Users/SARGuru/data', session=ASFSession().auth_with_token('EDL token')) ``` Also note that `ASFSearchResults.download()` and the generic `download_urls()` function both accept a `processes` parameter which allows for parallel downloads. Further examples of all of the above can be found in `examples/` ## Development ### Branching
Instance Branch Description, Instructions, Notes
Stable stable Accepts merges from Working and Hotfixes
Working master Accepts merges from Features/Issues and Hotfixes
Features/Issues topic-* Always branch off HEAD of Working
Hotfix hotfix-* Always branch off Stable
For an extended description of our workflow, see https://gist.github.com/digitaljhelms/4287848 ### Enable Logging We use standard the standard `logging` in our package for output. Heres a basic example for hooking into it with your application: ```python import asf_search as asf import logging ASF_LOGGER = logging.getLogger("asf_search") formatter = logging.Formatter('[ %(asctime)s (%(name)s) %(filename)s:%(lineno)d ] %(levelname)s - %(message)s') # Get output to the console: stream_handle = logging.StreamHandler() stream_handle.setFormatter(formatter) ASF_LOGGER.addHandler(stream_handle) # If you want it write to a file too: file_handle = logging.FileHandler('MyCustomApp.log') file_handle.setFormatter(formatter) ASF_LOGGER.addHandler(file_handle) # Only see messages that might affect you ASF_LOGGER.setLevel(logging.WARNING) # Test if the logger throws an error, you see it as expected: ASF_LOGGER.error("This is only a drill. Please do not panic.") # Should output this: # [ 2023-01-17 10:04:53,780 (asf_search) main.py:42 ] ERROR - This is only a drill. Please do not panic. ``` For more configure options on `logging`, please visit [their howto page](https://docs.python.org/3/howto/logging.html). %prep %autosetup -n asf-search-6.4.0 %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-asf-search -f filelist.lst %dir %{python3_sitelib}/* %files help -f doclist.lst %{_docdir}/* %changelog * Tue May 30 2023 Python_Bot - 6.4.0-1 - Package Spec generated