%global _empty_manifest_terminate_build 0
Name:		python-phylm
Version:	6.1.3
Release:	1
Summary:	Phylm
License:	MIT
URL:		https://github.com/dbatten5/phylm
Source0:	https://mirrors.nju.edu.cn/pypi/web/packages/6d/b7/6ccdf4af01f59424259f4e5553114b1dee385d596bed8e63d313fac86d52/phylm-6.1.3.tar.gz
BuildArch:	noarch

Requires:	python3-aiohttp
Requires:	python3-beautifulsoup4
Requires:	python3-cinemagoer
Requires:	python3-click
Requires:	python3-requests

%description
# Phylm

[![Actions Status](https://github.com/dbatten5/phylm/workflows/Tests/badge.svg)](https://github.com/dbatten5/phylm/actions)
[![Actions Status](https://github.com/dbatten5/phylm/workflows/Release/badge.svg)](https://github.com/dbatten5/phylm/actions)
[![codecov](https://codecov.io/gh/dbatten5/phylm/branch/master/graph/badge.svg?token=P233M48EA6)](https://codecov.io/gh/dbatten5/phylm)
[![PyPI version](https://badge.fury.io/py/phylm.svg)](https://badge.fury.io/py/phylm)

Film data aggregation with async support.

## Motivation

When deciding which film to watch next, it can be helpful to have some key datapoints at
your fingertips, for example, the genre, the cast, the Metacritic score and, perhaps
most importantly, the runtime. This package provides a Phylm class to gather information
from various sources for a given film.

## Installation

```bash
pip install phylm
```

## Usage

```python
>>> import asyncio
>>> from phylm import Phylm
>>> p = Phylm("The Matrix")
>>> asyncio.run(p.load_source("imdb"))
>>> p.imdb.year
1999
>>> p.imdb.rating
8.7
```

`phylm` also provides some tools around movie search results and more:

```python
>>> from phylm.tools import search_movies, get_streaming_providers
>>> search_movies("the matrix")
[{
  'title': 'The Matrix',
  'kind': 'movie',
  'year': 1999,
  'cover_photo': 'https://some-url.com',
  'imdb_id': '0133093',
}, {
  'title': 'The Matrix Reloaded',
  'kind': 'movie',
  'year': 2003,
  'cover_photo': 'https://some-url.com',
  'imdb_id': '0234215',
}, {
...
>>> get_streaming_providers("0234215", regions=["gb"])
{
  'gb': {
    'rent': [{
      'display_priority': 8,
      'logo_path': '/pZgeSWpfvD59x6sY6stT5c6uc2h.jpg',
      'provider_id': 130,
      'provider_name': 'Sky Store',
    }],
    'flatrate': [{
      'display_priority': 8,
      'logo_path': '/ik9djlxNlex6sY6Kjsundc2h.jpg',
      'provider_id': 87,
      'provider_name': 'Netflix',
    }]
  }, {
  ...
}
```

## Help

See the [documentation](https://dbatten5.github.io/phylm) for more details.

## Licence

MIT



%package -n python3-phylm
Summary:	Phylm
Provides:	python-phylm
BuildRequires:	python3-devel
BuildRequires:	python3-setuptools
BuildRequires:	python3-pip
%description -n python3-phylm
# Phylm

[![Actions Status](https://github.com/dbatten5/phylm/workflows/Tests/badge.svg)](https://github.com/dbatten5/phylm/actions)
[![Actions Status](https://github.com/dbatten5/phylm/workflows/Release/badge.svg)](https://github.com/dbatten5/phylm/actions)
[![codecov](https://codecov.io/gh/dbatten5/phylm/branch/master/graph/badge.svg?token=P233M48EA6)](https://codecov.io/gh/dbatten5/phylm)
[![PyPI version](https://badge.fury.io/py/phylm.svg)](https://badge.fury.io/py/phylm)

Film data aggregation with async support.

## Motivation

When deciding which film to watch next, it can be helpful to have some key datapoints at
your fingertips, for example, the genre, the cast, the Metacritic score and, perhaps
most importantly, the runtime. This package provides a Phylm class to gather information
from various sources for a given film.

## Installation

```bash
pip install phylm
```

## Usage

```python
>>> import asyncio
>>> from phylm import Phylm
>>> p = Phylm("The Matrix")
>>> asyncio.run(p.load_source("imdb"))
>>> p.imdb.year
1999
>>> p.imdb.rating
8.7
```

`phylm` also provides some tools around movie search results and more:

```python
>>> from phylm.tools import search_movies, get_streaming_providers
>>> search_movies("the matrix")
[{
  'title': 'The Matrix',
  'kind': 'movie',
  'year': 1999,
  'cover_photo': 'https://some-url.com',
  'imdb_id': '0133093',
}, {
  'title': 'The Matrix Reloaded',
  'kind': 'movie',
  'year': 2003,
  'cover_photo': 'https://some-url.com',
  'imdb_id': '0234215',
}, {
...
>>> get_streaming_providers("0234215", regions=["gb"])
{
  'gb': {
    'rent': [{
      'display_priority': 8,
      'logo_path': '/pZgeSWpfvD59x6sY6stT5c6uc2h.jpg',
      'provider_id': 130,
      'provider_name': 'Sky Store',
    }],
    'flatrate': [{
      'display_priority': 8,
      'logo_path': '/ik9djlxNlex6sY6Kjsundc2h.jpg',
      'provider_id': 87,
      'provider_name': 'Netflix',
    }]
  }, {
  ...
}
```

## Help

See the [documentation](https://dbatten5.github.io/phylm) for more details.

## Licence

MIT



%package help
Summary:	Development documents and examples for phylm
Provides:	python3-phylm-doc
%description help
# Phylm

[![Actions Status](https://github.com/dbatten5/phylm/workflows/Tests/badge.svg)](https://github.com/dbatten5/phylm/actions)
[![Actions Status](https://github.com/dbatten5/phylm/workflows/Release/badge.svg)](https://github.com/dbatten5/phylm/actions)
[![codecov](https://codecov.io/gh/dbatten5/phylm/branch/master/graph/badge.svg?token=P233M48EA6)](https://codecov.io/gh/dbatten5/phylm)
[![PyPI version](https://badge.fury.io/py/phylm.svg)](https://badge.fury.io/py/phylm)

Film data aggregation with async support.

## Motivation

When deciding which film to watch next, it can be helpful to have some key datapoints at
your fingertips, for example, the genre, the cast, the Metacritic score and, perhaps
most importantly, the runtime. This package provides a Phylm class to gather information
from various sources for a given film.

## Installation

```bash
pip install phylm
```

## Usage

```python
>>> import asyncio
>>> from phylm import Phylm
>>> p = Phylm("The Matrix")
>>> asyncio.run(p.load_source("imdb"))
>>> p.imdb.year
1999
>>> p.imdb.rating
8.7
```

`phylm` also provides some tools around movie search results and more:

```python
>>> from phylm.tools import search_movies, get_streaming_providers
>>> search_movies("the matrix")
[{
  'title': 'The Matrix',
  'kind': 'movie',
  'year': 1999,
  'cover_photo': 'https://some-url.com',
  'imdb_id': '0133093',
}, {
  'title': 'The Matrix Reloaded',
  'kind': 'movie',
  'year': 2003,
  'cover_photo': 'https://some-url.com',
  'imdb_id': '0234215',
}, {
...
>>> get_streaming_providers("0234215", regions=["gb"])
{
  'gb': {
    'rent': [{
      'display_priority': 8,
      'logo_path': '/pZgeSWpfvD59x6sY6stT5c6uc2h.jpg',
      'provider_id': 130,
      'provider_name': 'Sky Store',
    }],
    'flatrate': [{
      'display_priority': 8,
      'logo_path': '/ik9djlxNlex6sY6Kjsundc2h.jpg',
      'provider_id': 87,
      'provider_name': 'Netflix',
    }]
  }, {
  ...
}
```

## Help

See the [documentation](https://dbatten5.github.io/phylm) for more details.

## Licence

MIT



%prep
%autosetup -n phylm-6.1.3

%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-phylm -f filelist.lst
%dir %{python3_sitelib}/*

%files help -f doclist.lst
%{_docdir}/*

%changelog
* Wed May 10 2023 Python_Bot <Python_Bot@openeuler.org> - 6.1.3-1
- Package Spec generated