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%global _empty_manifest_terminate_build 0
Name: python-safety-road-mapping
Version: 0.1.7
Release: 1
Summary: Module to generate a safety score for brazilian roads.
License: MIT
URL: https://github.com/cervejaria-ambev/safety_road_mapping
Source0: https://mirrors.aliyun.com/pypi/web/packages/4d/59/11cf4ea0c70519086a6d80b719dd6c8ac9137bdb03fa5b85a55fc2049df5/safety-road-mapping-0.1.7.tar.gz
BuildArch: noarch
Requires: python3-folium
Requires: python3-openrouteservice
Requires: python3-pandas
Requires: python3-geopy
Requires: python3-dotenv
Requires: python3-patool
Requires: python3-plotly
Requires: python3-Unidecode
Requires: python3-colour
Requires: python3-typeguard
Requires: python3-typing-extensions
%description
# General Instructions
## Generating API token
This project uses [openrouteservice API](https://openrouteservice.org) to plot maps and routes.
So the following steps are necessary at first:
1. Sign up on [openrouteservice.org](https://openrouteservice.org/dev/#/signup) to generate an API token;
2. Create a `.env` file with the following content: `TOKEN=XXXXXXXXXXXXXXX`, where `XXXXXXXXXXXXXXX` is the token generated in the step before;
3. Install the lib: `pip install safety-road-mapping`
4. Get the road accidents according the instructions bellow: [Getting accident road data](#getting-accident-road-data)
5. See the documentation on: [safety documentation](docs/safety_road_mapping/safety.md)
6. See the examples on how to use the lib on: [how-to-use.ipynb](./safety_road_mapping/examples/how-to-use.ipynb)
## Getting accident road data
- The accidents data used were extracted from the [Polícia Rodoviária Federal website](https://www.gov.br/prf/pt-br).
- The notebook [get_data.ipynb](./safety_road_mapping/extract_data/get_data.ipynb) is responsible to download and extract the data used.
- If you want to directly download the files you can [click here](https://www.gov.br/prf/pt-br/acesso-a-informacao/dados-abertos/dados-abertos-acidentes).
- To consolidate all the accidents by year on an unique `.csv` file use the notebook [consolidate_data.ipynb](./safety_road_mapping/extract_data/consolidate_data.ipynb).
- For a simple explore data analysis from the data look at [eda_accidents.ipynb](./safety_road_mapping/extract_data/eda_accidents.ipynb)
### Adding São Paulo data
- Access the [infosiga website](http://www.respeitoavida.sp.gov.br/relatorios/)
- Download the xlsx file with fatal accidents: [Fatal accidents](http://painelderesultados.infosiga.sp.gov.br/bases/acidentes_fatais.xlsx)
- Download the csv file with non fatal accidents: [Non-fatal accidents](http://painelderesultados.infosiga.sp.gov.br/bases/acidentes_naofatais.csv)
- Use the notebook [treat_data_from_SP.ipynb](./safety_road_mapping/extract_data/treat_data_from_SP.ipynb) to transform and concatenate the data generating a final file that will be used as input for the safety map code.
## Other possible steps on the project
- The accidents data used comes just from road federal police source, so there are some routes that don't receive score because they are state highways.
- Create some unit tests.
- Use [Renaest](https://www.gov.br/infraestrutura/pt-br/assuntos/transito/arquivos-denatran/docs/renaest) data (currently only [SP has geolocation data](http://www.infosiga.sp.gov.br)).
- Include other variables in the score calculation.
- Include driver behaviors data.
- Implement an algorithm to predict accidents.
- The routes subsections are not connected, once they are plotted individually in the map. Visually it can be interesting to connect them. (Is it possible or necessary?).
%package -n python3-safety-road-mapping
Summary: Module to generate a safety score for brazilian roads.
Provides: python-safety-road-mapping
BuildRequires: python3-devel
BuildRequires: python3-setuptools
BuildRequires: python3-pip
%description -n python3-safety-road-mapping
# General Instructions
## Generating API token
This project uses [openrouteservice API](https://openrouteservice.org) to plot maps and routes.
So the following steps are necessary at first:
1. Sign up on [openrouteservice.org](https://openrouteservice.org/dev/#/signup) to generate an API token;
2. Create a `.env` file with the following content: `TOKEN=XXXXXXXXXXXXXXX`, where `XXXXXXXXXXXXXXX` is the token generated in the step before;
3. Install the lib: `pip install safety-road-mapping`
4. Get the road accidents according the instructions bellow: [Getting accident road data](#getting-accident-road-data)
5. See the documentation on: [safety documentation](docs/safety_road_mapping/safety.md)
6. See the examples on how to use the lib on: [how-to-use.ipynb](./safety_road_mapping/examples/how-to-use.ipynb)
## Getting accident road data
- The accidents data used were extracted from the [Polícia Rodoviária Federal website](https://www.gov.br/prf/pt-br).
- The notebook [get_data.ipynb](./safety_road_mapping/extract_data/get_data.ipynb) is responsible to download and extract the data used.
- If you want to directly download the files you can [click here](https://www.gov.br/prf/pt-br/acesso-a-informacao/dados-abertos/dados-abertos-acidentes).
- To consolidate all the accidents by year on an unique `.csv` file use the notebook [consolidate_data.ipynb](./safety_road_mapping/extract_data/consolidate_data.ipynb).
- For a simple explore data analysis from the data look at [eda_accidents.ipynb](./safety_road_mapping/extract_data/eda_accidents.ipynb)
### Adding São Paulo data
- Access the [infosiga website](http://www.respeitoavida.sp.gov.br/relatorios/)
- Download the xlsx file with fatal accidents: [Fatal accidents](http://painelderesultados.infosiga.sp.gov.br/bases/acidentes_fatais.xlsx)
- Download the csv file with non fatal accidents: [Non-fatal accidents](http://painelderesultados.infosiga.sp.gov.br/bases/acidentes_naofatais.csv)
- Use the notebook [treat_data_from_SP.ipynb](./safety_road_mapping/extract_data/treat_data_from_SP.ipynb) to transform and concatenate the data generating a final file that will be used as input for the safety map code.
## Other possible steps on the project
- The accidents data used comes just from road federal police source, so there are some routes that don't receive score because they are state highways.
- Create some unit tests.
- Use [Renaest](https://www.gov.br/infraestrutura/pt-br/assuntos/transito/arquivos-denatran/docs/renaest) data (currently only [SP has geolocation data](http://www.infosiga.sp.gov.br)).
- Include other variables in the score calculation.
- Include driver behaviors data.
- Implement an algorithm to predict accidents.
- The routes subsections are not connected, once they are plotted individually in the map. Visually it can be interesting to connect them. (Is it possible or necessary?).
%package help
Summary: Development documents and examples for safety-road-mapping
Provides: python3-safety-road-mapping-doc
%description help
# General Instructions
## Generating API token
This project uses [openrouteservice API](https://openrouteservice.org) to plot maps and routes.
So the following steps are necessary at first:
1. Sign up on [openrouteservice.org](https://openrouteservice.org/dev/#/signup) to generate an API token;
2. Create a `.env` file with the following content: `TOKEN=XXXXXXXXXXXXXXX`, where `XXXXXXXXXXXXXXX` is the token generated in the step before;
3. Install the lib: `pip install safety-road-mapping`
4. Get the road accidents according the instructions bellow: [Getting accident road data](#getting-accident-road-data)
5. See the documentation on: [safety documentation](docs/safety_road_mapping/safety.md)
6. See the examples on how to use the lib on: [how-to-use.ipynb](./safety_road_mapping/examples/how-to-use.ipynb)
## Getting accident road data
- The accidents data used were extracted from the [Polícia Rodoviária Federal website](https://www.gov.br/prf/pt-br).
- The notebook [get_data.ipynb](./safety_road_mapping/extract_data/get_data.ipynb) is responsible to download and extract the data used.
- If you want to directly download the files you can [click here](https://www.gov.br/prf/pt-br/acesso-a-informacao/dados-abertos/dados-abertos-acidentes).
- To consolidate all the accidents by year on an unique `.csv` file use the notebook [consolidate_data.ipynb](./safety_road_mapping/extract_data/consolidate_data.ipynb).
- For a simple explore data analysis from the data look at [eda_accidents.ipynb](./safety_road_mapping/extract_data/eda_accidents.ipynb)
### Adding São Paulo data
- Access the [infosiga website](http://www.respeitoavida.sp.gov.br/relatorios/)
- Download the xlsx file with fatal accidents: [Fatal accidents](http://painelderesultados.infosiga.sp.gov.br/bases/acidentes_fatais.xlsx)
- Download the csv file with non fatal accidents: [Non-fatal accidents](http://painelderesultados.infosiga.sp.gov.br/bases/acidentes_naofatais.csv)
- Use the notebook [treat_data_from_SP.ipynb](./safety_road_mapping/extract_data/treat_data_from_SP.ipynb) to transform and concatenate the data generating a final file that will be used as input for the safety map code.
## Other possible steps on the project
- The accidents data used comes just from road federal police source, so there are some routes that don't receive score because they are state highways.
- Create some unit tests.
- Use [Renaest](https://www.gov.br/infraestrutura/pt-br/assuntos/transito/arquivos-denatran/docs/renaest) data (currently only [SP has geolocation data](http://www.infosiga.sp.gov.br)).
- Include other variables in the score calculation.
- Include driver behaviors data.
- Implement an algorithm to predict accidents.
- The routes subsections are not connected, once they are plotted individually in the map. Visually it can be interesting to connect them. (Is it possible or necessary?).
%prep
%autosetup -n safety-road-mapping-0.1.7
%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-safety-road-mapping -f filelist.lst
%dir %{python3_sitelib}/*
%files help -f doclist.lst
%{_docdir}/*
%changelog
* Tue Jun 20 2023 Python_Bot <Python_Bot@openeuler.org> - 0.1.7-1
- Package Spec generated
|
