imdbpie-async 1.0.0

An async fork to imdb-pie

# imdb-pie
Python async IMDB client using the IMDB json web service made available for their iOS app.

## This fork
This fork adapts the original library to be used with [Aiohttp](https://github.com/aio-libs/aiohttp).

## Requirements

1. Python 3.5 or above.
2. See requirements.txt

## Install
This fork is not on PyPi for now, so you need to install from source.
```
pip install git+https://github.com/hifumibot/imdb-pie#egg=imdbpie_async
```
## How To Use

### Create an instance of ImdbPie
```python
from imdbpie_async import Imdb
from aiohttp import ClientSession

async def main():
imdb = Imdb(ClientSession(), api_key)
imdb = Imdb(ClientSession(), api_key, anonymize=True) # to proxy requests
```

### Search for a title by its title
```python
>>> await imdb.search_for_title("The Dark Knight")
[{'title': "The Dark Knight", 'year': "2008", 'imdb_id': "tt0468569"},{'title' : "Batman Unmasked", ...}]
```
### Search for person by their name
```python
>>> await imdb.search_for_person("Christian Bale")
[{'imdb_id': 'nm0000288', 'name': 'Christian Bale'},{'imdb_id': 'nm7635250', ...}]
```
### Find a title by its imdb_id
```python
>>> title = await imdb.get_title_by_id("tt0468569")
>>> title.title
"The Dark Knight"
>>> title.rating
8.1
>>> title.certification
"PG-13"
```
### Find a person by their imdb_id
```python
>>> person = await imdb.get_person_by_id("nm0000151")
>>> person.name
"Morgan Freeman"
>>> person.imdb_id
"nm0000151"
>>> person.photo_url
"https://images-na.ssl-images-amazon.com/images/M/MV5BNzkwNTY1MDYxOF5BMl5BanBnXkFtZTgwNjk4NjM3OTE@._V1_.jpg"
```

### Find all episodes for a title by its imdb_id

```python
>>> await imdb.get_episodes('tt0096697')
[<Episode: u'Simpsons Roasting on an Open Fire' - u'tt0348034'>,
<Episode: u'Bart the Genius' - u'tt0756593'>,
<Episode: u"Homer's Odyssey" - u'tt0701124'>,...]

>>> episode.release_date
'1989-12-17'
>>> episode.title
'Simpsons Roasting on an Open Fire'
>>> episode.series_name
'The Simpsons'
>>> episode.type
'tv_episode'
>>> episode.year
1989
>>> episode.season
1
>>> episode.episode
1
>>> episode.imdb_id
'tt0348034'
```

### Find a title trailer poster
```python
>>> title = await imdb.get_title_by_id("tt1210166")
>>> title.trailer_image_urls
["http://ia.media-imdb.com/images/M/MV5BODM1NDMxMTI3M15BMl5BanBnXkFtZTcwMDAzODY1Ng@@._V1_.jpg",...]
```

### Find the top 250 movies ever
```python
>>> await imdb.top_250()
[{'title': 'The Shawshank Redemption', 'year': '1994', 'type': 'feature', 'rating': 9.3,...}, ...]
```

### Get the current popular shows
```python
>>> await imdb.popular_shows()
[{
'image': {
'height': 2048,
'url': 'https://images-na.ssl-images-amazon.com/images/M/MV5BMjE3NTQ1NDg1Ml5BMl5BanBnXkFtZTgwNzY2NDA0MjI@._V1_.jpg',
'width': 1382
},
'principals': [{
'name': 'Emilia Clarke',
'nconst': 'nm3592338'
},
...
],
'tconst': 'tt0944947',
'title': 'Game of Thrones',
'type': 'tv_series',
'year': '2011'
}]
```

### Get the current popular movies
```python
>>> await imdb.popular_movies()
[{
'prev': 1,
'object': {
'tconst': 'tt0944947',
'title': 'Game of Thrones',
'image': {
'url': 'https://images-na.ssl-images-amazon.com/images/M/MV5BMjE3NTQ1NDg1Ml5BMl5BanBnXkFtZTgwNzY2NDA0MjI@._V1_.jpg',
'width': 1382,
'height': 2048
},
'year': '2011',
'principals': [{
'nconst': 'nm3592338',
'name': 'Emilia Clarke'
},
...
],
'type': 'tv_series'
},
'rank': 1
}]
```

### Check if a title exists
```python
>>> await imdb.title_exists('tt1327801')
True
```

### Get images for a person
Returns a list of image objects with the following attributes (caption, url, width, height)
```python
>>> await imdb.get_person_images("nm0000033")
[<Image: u'Alfred Hitchcock'>, <Image: u'"Psycho" Dir. Alfred Hitchcock 1960 Paramount'>,...]
```

### Get images for a title
Returns a list of image objects with the following attributes (caption, url, width, height)
```python
>>> await imdb.get_title_images("tt0468569")
[<Image: u'Morgan Freeman and Frank Darabont in The Shawshank Redemption'>,...]
```

### Get reviews for a title
Returns a list of Review objects with the following attributes (username, text, date, rating, summary, status, user_location, user_score, user_score_count)
```python
>>> await imdb.get_title_reviews("tt0468569", max_results=15)
[<Review: u'Why do I want to wri'>, <Review: u'Can Hollywood, usua'>,...]
```

### Example: Get a title's credit information and check categorisation
```python
title = await imdb.get_title_by_id("tt1210166")
for person in title.credits:
# check if they are a writer
if person.token == 'writers':
print(person.name + ' is a writer')
else:
print(person.name + ' is not a writer')
```

## Running the tests

```bash
pip install -r test_requirements.txt
py.test tests
```

## License
imdb-pie is released under the MIT license. See the license [file](https://github.com/hifumibot/imdb-pie/blob/master/LICENSE) for more details.