%global _empty_manifest_terminate_build 0 Name: python-dweather-client Version: 2.1.0 Release: 1 Summary: Python client for interacting with weather data on IPFS. License: MIT License URL: https://github.com/Arbol-Project/dWeather-Python-Client.git Source0: https://mirrors.aliyun.com/pypi/web/packages/2f/93/a082a35f1fe4b5dd5039b997aa0cc80dbeddda8e3fc203c4a4d96da3e557/dweather_client-2.1.0.tar.gz BuildArch: noarch Requires: python3-ipfshttpclient Requires: python3-pandas Requires: python3-pytest Requires: python3-requests Requires: python3-geopy Requires: python3-zeep Requires: python3-astropy Requires: python3-timezonefinder %description # dWeather-Python-Client ## Quickstart Install dweather_client: pip3 install dweather_client Get valid dataset names and associated hashes: http_client.get_heads() Get the metadata for a given dataset name: http_client.get_metadata('chirps_05-daily') Get a rainfall dict for a gridded dataset: http_client.get_rainfall_dict(41.175, -75.125, 'chirps_05-daily') Get a rainfall dataframe: df_loader.get_rainfall_df(41.125, -75.125, 'chirps_05-daily') Get a station dataframe: df_loader.get_station_rainfall_df('USW00024285') df_loader.get_station_temperature_df('USW00024285') df_loader.get_station_snow_df('USW00024285') See further examples in `tests` ## Development cd dweather-python-client python3 -m venv . bin/pip3 install -r requirements.txt bin/python3 -m pytest dweather_clieht/tests Some dweather_client features require an ipfs daemon to work. ### Download Go-IPFS version 0.6.0 See Assets list at the bottom of this page: https://github.com/ipfs/go-ipfs/releases/tag/v0.6.0 Download the build appropriate for your machine, or just download the source tar if you're not sure. ### Install go-IPFS Unzip the file that you downloaded. tar xvfz {filename}.tar.gz Move the binary into your path. `sudo` may be required for this. mv go-ipfs/ipfs /usr/local/bin/ipfs Initialize a ~/.ipfs directory. This is where your files and config will be saved. ipfs init ### Configure go-IPFS Remove default peers for performance. ipfs bootstrap rm --all Add the dWeather server as a peer. ipfs bootstrap add "/ip4/198.211.104.50/tcp/4001/p2p/QmWsAFSDajELyneR7LkMsgfaRk2ib1y3SEU7nQuXSNPsQV" ### Make sure go-IPFS it works Start the IPFS daemon. You will need to have the daemon running to use some functionality of the dWeather client. ipfs daemon In a new window, confirm that you can pull content. ipfs cat QmVsy2HZCi39ePJRpNqXEJvHgRMqjcyu1FLqgiFkPTMknq/USW00014704.csv.gz Confirm that the dWeather server is a peer. ipfs swarm peers ### Install the Python dWeather Client Create an isolated Python installation and install the dependencies. git clone https://github.com/Arbol-Project/dWeather-Python-Client.git cd dWeather-Python-Client python3 -m venv . bin/pip3 install -r requirements.txt Run the tests, if you want. bin/python3 -m pytest -s --log-cli-level=20 dweather_client/tests ## Local data Certain dweather functions will try to save query results locally to disk for faster performance on subsequent loads. This can be overridden by passing `pin=False` in these function calls. Load the ipfs UI to browse what files are stored locally. Paste the following into a web browser. http://127.0.0.1:5001/webui Navigate to Files, then click "pins." Content can be unpinned via the UI. If you just want to remove everything, delete ~/.ipfs and rerun the installation and configuration from `ipfs init`. rm -rf ~/.ipfs ## Further documentation See `tests` directory for example usage. Documented examples of usage should appear in a docs repository or in product-dev-notebook. %package -n python3-dweather-client Summary: Python client for interacting with weather data on IPFS. Provides: python-dweather-client BuildRequires: python3-devel BuildRequires: python3-setuptools BuildRequires: python3-pip %description -n python3-dweather-client # dWeather-Python-Client ## Quickstart Install dweather_client: pip3 install dweather_client Get valid dataset names and associated hashes: http_client.get_heads() Get the metadata for a given dataset name: http_client.get_metadata('chirps_05-daily') Get a rainfall dict for a gridded dataset: http_client.get_rainfall_dict(41.175, -75.125, 'chirps_05-daily') Get a rainfall dataframe: df_loader.get_rainfall_df(41.125, -75.125, 'chirps_05-daily') Get a station dataframe: df_loader.get_station_rainfall_df('USW00024285') df_loader.get_station_temperature_df('USW00024285') df_loader.get_station_snow_df('USW00024285') See further examples in `tests` ## Development cd dweather-python-client python3 -m venv . bin/pip3 install -r requirements.txt bin/python3 -m pytest dweather_clieht/tests Some dweather_client features require an ipfs daemon to work. ### Download Go-IPFS version 0.6.0 See Assets list at the bottom of this page: https://github.com/ipfs/go-ipfs/releases/tag/v0.6.0 Download the build appropriate for your machine, or just download the source tar if you're not sure. ### Install go-IPFS Unzip the file that you downloaded. tar xvfz {filename}.tar.gz Move the binary into your path. `sudo` may be required for this. mv go-ipfs/ipfs /usr/local/bin/ipfs Initialize a ~/.ipfs directory. This is where your files and config will be saved. ipfs init ### Configure go-IPFS Remove default peers for performance. ipfs bootstrap rm --all Add the dWeather server as a peer. ipfs bootstrap add "/ip4/198.211.104.50/tcp/4001/p2p/QmWsAFSDajELyneR7LkMsgfaRk2ib1y3SEU7nQuXSNPsQV" ### Make sure go-IPFS it works Start the IPFS daemon. You will need to have the daemon running to use some functionality of the dWeather client. ipfs daemon In a new window, confirm that you can pull content. ipfs cat QmVsy2HZCi39ePJRpNqXEJvHgRMqjcyu1FLqgiFkPTMknq/USW00014704.csv.gz Confirm that the dWeather server is a peer. ipfs swarm peers ### Install the Python dWeather Client Create an isolated Python installation and install the dependencies. git clone https://github.com/Arbol-Project/dWeather-Python-Client.git cd dWeather-Python-Client python3 -m venv . bin/pip3 install -r requirements.txt Run the tests, if you want. bin/python3 -m pytest -s --log-cli-level=20 dweather_client/tests ## Local data Certain dweather functions will try to save query results locally to disk for faster performance on subsequent loads. This can be overridden by passing `pin=False` in these function calls. Load the ipfs UI to browse what files are stored locally. Paste the following into a web browser. http://127.0.0.1:5001/webui Navigate to Files, then click "pins." Content can be unpinned via the UI. If you just want to remove everything, delete ~/.ipfs and rerun the installation and configuration from `ipfs init`. rm -rf ~/.ipfs ## Further documentation See `tests` directory for example usage. Documented examples of usage should appear in a docs repository or in product-dev-notebook. %package help Summary: Development documents and examples for dweather-client Provides: python3-dweather-client-doc %description help # dWeather-Python-Client ## Quickstart Install dweather_client: pip3 install dweather_client Get valid dataset names and associated hashes: http_client.get_heads() Get the metadata for a given dataset name: http_client.get_metadata('chirps_05-daily') Get a rainfall dict for a gridded dataset: http_client.get_rainfall_dict(41.175, -75.125, 'chirps_05-daily') Get a rainfall dataframe: df_loader.get_rainfall_df(41.125, -75.125, 'chirps_05-daily') Get a station dataframe: df_loader.get_station_rainfall_df('USW00024285') df_loader.get_station_temperature_df('USW00024285') df_loader.get_station_snow_df('USW00024285') See further examples in `tests` ## Development cd dweather-python-client python3 -m venv . bin/pip3 install -r requirements.txt bin/python3 -m pytest dweather_clieht/tests Some dweather_client features require an ipfs daemon to work. ### Download Go-IPFS version 0.6.0 See Assets list at the bottom of this page: https://github.com/ipfs/go-ipfs/releases/tag/v0.6.0 Download the build appropriate for your machine, or just download the source tar if you're not sure. ### Install go-IPFS Unzip the file that you downloaded. tar xvfz {filename}.tar.gz Move the binary into your path. `sudo` may be required for this. mv go-ipfs/ipfs /usr/local/bin/ipfs Initialize a ~/.ipfs directory. This is where your files and config will be saved. ipfs init ### Configure go-IPFS Remove default peers for performance. ipfs bootstrap rm --all Add the dWeather server as a peer. ipfs bootstrap add "/ip4/198.211.104.50/tcp/4001/p2p/QmWsAFSDajELyneR7LkMsgfaRk2ib1y3SEU7nQuXSNPsQV" ### Make sure go-IPFS it works Start the IPFS daemon. You will need to have the daemon running to use some functionality of the dWeather client. ipfs daemon In a new window, confirm that you can pull content. ipfs cat QmVsy2HZCi39ePJRpNqXEJvHgRMqjcyu1FLqgiFkPTMknq/USW00014704.csv.gz Confirm that the dWeather server is a peer. ipfs swarm peers ### Install the Python dWeather Client Create an isolated Python installation and install the dependencies. git clone https://github.com/Arbol-Project/dWeather-Python-Client.git cd dWeather-Python-Client python3 -m venv . bin/pip3 install -r requirements.txt Run the tests, if you want. bin/python3 -m pytest -s --log-cli-level=20 dweather_client/tests ## Local data Certain dweather functions will try to save query results locally to disk for faster performance on subsequent loads. This can be overridden by passing `pin=False` in these function calls. Load the ipfs UI to browse what files are stored locally. Paste the following into a web browser. http://127.0.0.1:5001/webui Navigate to Files, then click "pins." Content can be unpinned via the UI. If you just want to remove everything, delete ~/.ipfs and rerun the installation and configuration from `ipfs init`. rm -rf ~/.ipfs ## Further documentation See `tests` directory for example usage. Documented examples of usage should appear in a docs repository or in product-dev-notebook. %prep %autosetup -n dweather_client-2.1.0 %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-dweather-client -f filelist.lst %dir %{python3_sitelib}/* %files help -f doclist.lst %{_docdir}/* %changelog * Fri Jun 09 2023 Python_Bot - 2.1.0-1 - Package Spec generated