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        "author": "Anthony Bloomer",
        "author_email": "ant0@protonmail.ch",
        "bugtrack_url": null,
        "classifiers": [
            "Development Status :: 5 - Production/Stable",
            "Intended Audience :: Developers",
            "Programming Language :: Python",
            "Programming Language :: Python :: 2.7",
            "Programming Language :: Python :: 3",
            "Programming Language :: Python :: 3.3",
            "Programming Language :: Python :: 3.4",
            "Programming Language :: Python :: 3.5",
            "Programming Language :: Python :: 3.6",
            "Topic :: Software Development :: Libraries"
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        "description": "tmdbv3api\n=========\n\n|Build Status| |codecov|\n\nA lightweight Python library for The Movie Database (TMDb) API. The TMDb API is a resource for developers to integrate movie, TV show and cast data along with posters or movie fan art. themoviedb.org is a free and community edited database.\n\nRegister an account: https://www.themoviedb.org/account/signup\n\nCheck out the API documentation: https://developers.themoviedb.org/3/getting-started/introduction\n\nInstall\n~~~~~~~\n\ntmdbv3api is available on the Python Package Index (PyPI) at\nhttps://pypi.python.org/pypi/tmdbv3api\n\nYou can install tmdbv3api using pip.\n\n::\n\n    $ pip install tmdbv3api\n\nUsage\n~~~~~\n\nThe first step is to initialize a TMDb object and set your API Key.\n\n.. code:: python\n\n    from tmdbv3api import TMDb\n    tmdb = TMDb()\n    tmdb.api_key = 'YOUR_API_KEY'\n\nAlternatively, you can export your API key as an environment variable.\n\n.. code:: bash\n\n    $ export TMDB_API_KEY='YOUR_API_KEY'\n\nOther configuration settings include defining your ``language`` and enabling ``debug`` mode, for example:\n\n.. code:: python\n\n    tmdb.language = 'en'\n    tmdb.debug = True\n\nThen to communicate with TMDb, create an instance of one of the objects\nand call that instances methods. For example, to retrieve movie\nrecommendations for a given movie id:\n\n.. code:: python\n\n    from tmdbv3api import Movie\n\n    movie = Movie()\n\n    recommendations = movie.recommendations(movie_id=111)\n\n    for recommendation in recommendations:\n        print(recommendation.title)\n        print(recommendation.overview)\n\nExamples\n~~~~~~~~\n\nGet the list of popular movies on The Movie Database. This list\nrefreshes every day.\n\n.. code:: python\n\n\n    movie = Movie()\n    popular = movie.popular()\n\n    for p in popular:\n        print(p.id)\n        print(p.title)\n        print(p.overview)\n        print(p.poster_path)\n\n\nGet the primary information about a movie.\n\n.. code:: python\n\n    m = movie.details(343611)\n\n    print(m.title)\n    print(m.overview)\n    print(m.popularity)\n\nSearch for movies by title.\n\n.. code:: python\n\n    search = movie.search('Mad Max')\n\n    for res in search:\n        print(res.id)\n        print(res.title)\n        print(res.overview)\n        print(res.poster_path)\n        print(res.vote_average)\n\nGet the similar movies for a specific movie id.\n\n.. code:: python\n\n    similar = movie.similar(777)\n\n    for result in similar:\n        print(result.title)\n        print(result.overview)\n\nSearch for TV shows by title.\n\n.. code:: python\n\n    tv = TV()\n    show = tv.search('Breaking Bad')\n\n    for result in show:\n        print(result.name)\n        print(result.overview)\n\nGet the similar TV shows for a specific tv id.\n\n.. code:: python\n\n    similar = tv.similar(1396)\n\n    for show in similar:\n        print(show.name)\n        print(show.overview)\n\nGet the details of TV season for a specific tv id.\n\n.. code:: python\n\n    season = Season()\n    show_season = season.details(1396, 1)\n    print(show_season.air_date)\n    print(len(show_season.episodes))\n\nGet the general person information for a specific id.\n\n.. code:: python\n\n    person = Person()\n    p = person.details(12)\n\n    print(p.name)\n    print(p.biography)\n\nDiscover movies by different types of data like average rating, number\nof votes, genres and certifications.\n\n.. code:: python\n\n\n    # What movies are in theatres?\n\n    discover = Discover()\n    movie = discover.discover_movies({\n        'primary_release_date.gte': '2017-01-20',\n        'primary_release_date.lte': '2017-01-25'\n    })\n\n    # What are the most popular movies?\n\n    movie = discover.discover_movies({\n        'sort_by': 'popularity.desc'\n    })\n\n    # What are the most popular kids movies?\n\n    movie = discover.discover_movies({\n        'certification_country': 'US',\n        'certification.lte': 'G',\n        'sort_by': 'popularity.desc'\n    })\n\nDiscover TV shows by different types of data like average rating, number\nof votes, genres, the network they aired on and air dates.\n\n.. code:: python\n\n    # What are the most popular TV shows?\n\n    show = discover.discover_tv_shows({\n        'sort_by': 'popularity.desc'\n    })\n\n    # What are the best dramas?\n\n    show = discover.discover_tv_shows({\n        'with_genres': 18,\n        'sort_by': 'vote_average.desc',\n        'vote_count.gte': 10\n    })\n\n\nRunning Tests\n~~~~~~~~~~~~~\n\nYou can run the tests via the command line. You must export your TMDb\nAPI key as an environment variable. From the command line run:\n\n.. code:: bash\n\n    $ export TMDB_API_KEY='YOUR_API_KEY'\n\nThen run:\n\n.. code:: bash\n\n    $ python -m unittest discover tests/\n\n\n.. |Build Status| image:: https://travis-ci.org/AnthonyBloomer/tmdbv3api.svg?branch=master\n   :target: https://travis-ci.org/AnthonyBloomer/tmdbv3api\n.. |codecov| image:: https://codecov.io/gh/AnthonyBloomer/tmdbv3api/branch/master/graph/badge.svg\n   :target: https://codecov.io/gh/AnthonyBloomer/tmdbv3api\n\n\n",
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