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%global _empty_manifest_terminate_build 0
Name: python-ps2-analysis
Version: 0.28.0
Release: 1
Summary: Daybreak Game's Planetside 2 data analysis (UNOFFICIAL)
License: MIT
URL: https://github.com/spascou/ps2-analysis
Source0: https://mirrors.nju.edu.cn/pypi/web/packages/ea/32/d881d3c8f3fbb83b6b374b92d7417e9d5f5f549bf01b11370ca6bfd0878c/ps2_analysis-0.28.0.tar.gz
BuildArch: noarch
Requires: python3-toml
Requires: python3-ndjson
Requires: python3-ps2-census
Requires: python3-slugify
Requires: python3-methodtools
%description
# ps2-analysis [WORK IN PROGRESS]
*ps2-analysis* is a library written in Python >= 3.8 that fetches data from the
Daybreak Planetside 2 Census API and eases advanced analysis.
It uses its sister project, the [ps2-census](https://github.com/spascou/ps2-census) client
whose objective is simply to handle data retrieval from the Census API. Further parsing
and exploitation is performed here in *ps2-analysis*.
* [ps2-analysis](#ps2-analysis)
* [Examples](#examples)
* [Development](#development)
* [Environment](#environment)
*Features*:
- Currently supports infantry and vehicle weapons data
- Downloads datasets from the API and stores them locally as *ndjson* files
- Parses data and generates class objects suitable for further processing
## Installation
```sh
pip install ps2-analysis
```
## Examples
Examples are available in the `examples` folder:
- `discover_infantry_weapons.py`: updates the infantry weapons datafile and outputs all different (nested) key paths as well as associated set of values encountered within the whole dataset; example output in `discover_infantry_weapons.json`
- `discover_vehicle_weapons.py`: updates the vehicle weapons datafile and outputs all different (nested) key paths as well as associated set of values encountered within the whole dataset; example output in `discover_vehicle_weapons.json`
- `generate_infantry_weapons.py`: no output; simply an example of `InfantryWeapon` objects generation
- `generate_vehicle_weapons.py`: no output; simply an example of `VehicleWeapon` objects generation
## Development
### Environment
In order to develop *ps2-analysis*:
- Setup a virtual environment with python 3.8
- Install [poetry](https://github.com/python-poetry/poetry)
- Install dependencies with `poetry install`
- Run tests with `pytest`
- Update dependencies with `poetry update`
To run the examples in the `examples` folder:
- Add your Census API service ID to the `CENSUS_SERVICE_ID` environment variable
- Create a folder inside the `examples` folder of the cloned repository: `datafiles`
- Run the scripts and check the outputs
%package -n python3-ps2-analysis
Summary: Daybreak Game's Planetside 2 data analysis (UNOFFICIAL)
Provides: python-ps2-analysis
BuildRequires: python3-devel
BuildRequires: python3-setuptools
BuildRequires: python3-pip
%description -n python3-ps2-analysis
# ps2-analysis [WORK IN PROGRESS]
*ps2-analysis* is a library written in Python >= 3.8 that fetches data from the
Daybreak Planetside 2 Census API and eases advanced analysis.
It uses its sister project, the [ps2-census](https://github.com/spascou/ps2-census) client
whose objective is simply to handle data retrieval from the Census API. Further parsing
and exploitation is performed here in *ps2-analysis*.
* [ps2-analysis](#ps2-analysis)
* [Examples](#examples)
* [Development](#development)
* [Environment](#environment)
*Features*:
- Currently supports infantry and vehicle weapons data
- Downloads datasets from the API and stores them locally as *ndjson* files
- Parses data and generates class objects suitable for further processing
## Installation
```sh
pip install ps2-analysis
```
## Examples
Examples are available in the `examples` folder:
- `discover_infantry_weapons.py`: updates the infantry weapons datafile and outputs all different (nested) key paths as well as associated set of values encountered within the whole dataset; example output in `discover_infantry_weapons.json`
- `discover_vehicle_weapons.py`: updates the vehicle weapons datafile and outputs all different (nested) key paths as well as associated set of values encountered within the whole dataset; example output in `discover_vehicle_weapons.json`
- `generate_infantry_weapons.py`: no output; simply an example of `InfantryWeapon` objects generation
- `generate_vehicle_weapons.py`: no output; simply an example of `VehicleWeapon` objects generation
## Development
### Environment
In order to develop *ps2-analysis*:
- Setup a virtual environment with python 3.8
- Install [poetry](https://github.com/python-poetry/poetry)
- Install dependencies with `poetry install`
- Run tests with `pytest`
- Update dependencies with `poetry update`
To run the examples in the `examples` folder:
- Add your Census API service ID to the `CENSUS_SERVICE_ID` environment variable
- Create a folder inside the `examples` folder of the cloned repository: `datafiles`
- Run the scripts and check the outputs
%package help
Summary: Development documents and examples for ps2-analysis
Provides: python3-ps2-analysis-doc
%description help
# ps2-analysis [WORK IN PROGRESS]
*ps2-analysis* is a library written in Python >= 3.8 that fetches data from the
Daybreak Planetside 2 Census API and eases advanced analysis.
It uses its sister project, the [ps2-census](https://github.com/spascou/ps2-census) client
whose objective is simply to handle data retrieval from the Census API. Further parsing
and exploitation is performed here in *ps2-analysis*.
* [ps2-analysis](#ps2-analysis)
* [Examples](#examples)
* [Development](#development)
* [Environment](#environment)
*Features*:
- Currently supports infantry and vehicle weapons data
- Downloads datasets from the API and stores them locally as *ndjson* files
- Parses data and generates class objects suitable for further processing
## Installation
```sh
pip install ps2-analysis
```
## Examples
Examples are available in the `examples` folder:
- `discover_infantry_weapons.py`: updates the infantry weapons datafile and outputs all different (nested) key paths as well as associated set of values encountered within the whole dataset; example output in `discover_infantry_weapons.json`
- `discover_vehicle_weapons.py`: updates the vehicle weapons datafile and outputs all different (nested) key paths as well as associated set of values encountered within the whole dataset; example output in `discover_vehicle_weapons.json`
- `generate_infantry_weapons.py`: no output; simply an example of `InfantryWeapon` objects generation
- `generate_vehicle_weapons.py`: no output; simply an example of `VehicleWeapon` objects generation
## Development
### Environment
In order to develop *ps2-analysis*:
- Setup a virtual environment with python 3.8
- Install [poetry](https://github.com/python-poetry/poetry)
- Install dependencies with `poetry install`
- Run tests with `pytest`
- Update dependencies with `poetry update`
To run the examples in the `examples` folder:
- Add your Census API service ID to the `CENSUS_SERVICE_ID` environment variable
- Create a folder inside the `examples` folder of the cloned repository: `datafiles`
- Run the scripts and check the outputs
%prep
%autosetup -n ps2-analysis-0.28.0
%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-ps2-analysis -f filelist.lst
%dir %{python3_sitelib}/*
%files help -f doclist.lst
%{_docdir}/*
%changelog
* Tue May 30 2023 Python_Bot <Python_Bot@openeuler.org> - 0.28.0-1
- Package Spec generated
|