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    "info": {
        "author": "Alec Thomas",
        "author_email": "alec@swapoff.org",
        "bugtrack_url": null,
        "classifiers": [
            "Development Status :: 5 - Production/Stable",
            "Framework :: Flask",
            "Intended Audience :: Developers",
            "License :: OSI Approved :: MIT License",
            "Operating System :: OS Independent",
            "Programming Language :: Python",
            "Programming Language :: Python :: 3",
            "Programming Language :: Python :: 3.3",
            "Programming Language :: Python :: 3.4",
            "Programming Language :: Python :: Implementation :: CPython",
            "Topic :: Software Development :: Libraries",
            "Topic :: Software Development :: Testing",
            "Topic :: Utilities"
        ],
        "description": "Flask-Injector\n==============\n\n.. image:: https://secure.travis-ci.org/alecthomas/flask_injector.png?branch=master\n   :alt: Build status\n   :target: https://travis-ci.org/alecthomas/flask_injector\n\n\nAdds `Injector <https://github.com/alecthomas/injector>`_ support to Flask,\nthis way there's no need to use global Flask objects, which makes testing simpler.\n\nInjector is a dependency-injection framework for Python, inspired by Guice.\n\n`Flask-Injector` is compatible with CPython 3.5+.\nAs of version 0.12.0 it requires Injector version 0.13.2 or greater and Flask\n1.0 or greater.\n\nGitHub project page: https://github.com/alecthomas/flask_injector\n\nPyPI package page: https://pypi.python.org/pypi/Flask-Injector\n\nChangelog: https://github.com/alecthomas/flask_injector/blob/master/CHANGELOG.rst\n\nFeatures\n--------\n\nFlask-Injector lets you inject dependencies into:\n\n* views (functions and class-based)\n* `before_request` handlers\n* `after_request` handlers\n* `teardown_request` handlers\n* template context processors\n* error handlers\n* Jinja environment globals (functions in `app.jinja_env.globals`)\n* Flask-RESTFul Resource constructors\n* Flask-RestPlus Resource constructors\n\nFlask-Injector supports defining types using function annotations (Python 3),\nsee below.\n\nExample application using Flask-Injector\n----------------------------------------\n\n.. code:: python\n\n    import sqlite3\n    from flask import Flask, Config\n    from flask.views import View\n    from flask_injector import FlaskInjector\n    from injector import inject\n\n    app = Flask(__name__)\n\n    # Configure your application by attaching views, handlers, context processors etc.:\n\n    @app.route(\"/bar\")\n    def bar():\n        return render(\"bar.html\")\n\n\n    # Route with injection\n    @app.route(\"/foo\")\n    def foo(db: sqlite3.Connection):\n        users = db.execute('SELECT * FROM users').all()\n        return render(\"foo.html\")\n\n\n    # Class-based view with injected constructor\n    class Waz(View):\n        @inject\n        def __init__(self, db: sqlite3.Connection):\n            self.db = db\n\n        def dispatch_request(self, key):\n            users = self.db.execute('SELECT * FROM users WHERE name=?', (key,)).all()\n            return 'waz'\n\n    app.add_url_rule('/waz/<key>', view_func=Waz.as_view('waz'))\n\n\n    # In the Injector world, all dependency configuration and initialization is\n    # performed in modules (http://packages.python.org/injector/#module). The\n    # same is true with Flask-Injector. You can see some examples of configuring\n    # Flask extensions through modules below.\n\n    # Accordingly, the next step is to create modules for any objects we want made\n    # available to the application. Note that in this example we also use the\n    # Injector to gain access to the `flask.Config`:\n\n    def configure(binder):\n        binder.bind(\n            sqlite3.Connection,\n            to=sqlite3.Connection(':memory:'),\n            scope=request,\n        )\n    \n    # Initialize Flask-Injector. This needs to be run *after* you attached all\n    # views, handlers, context processors and template globals.\n\n    FlaskInjector(app=app, modules=[configure])\n\n    # All that remains is to run the application\n\n    app.run()\n\nSee `example.py` for a more complete example, including `Flask-SQLAlchemy` and\n`Flask-Cache` integration.\n\nSupporting Flask Extensions\n---------------------------\n\nTypically, Flask extensions are initialized at the global scope using a\npattern similar to the following.\n\n.. code:: python\n\n    app = Flask(__name__)\n    ext = ExtClass(app)\n\n    @app.route(...)\n    def view():\n        # Use ext object here...\n\nAs we don't have these globals with Flask-Injector we have to configure the\nextension the Injector way - through modules. Modules can either be subclasses\nof `injector.Module` or a callable taking an `injector.Binder` instance.\n\n.. code:: python\n\n    from injector import Module\n\n    class MyModule(Module):\n        @provider\n        @singleton\n        def provide_ext(self, app: Flask) -> ExtClass:\n            return ExtClass(app)\n\n    def main():\n        app = Flask(__name__)\n        app.config.update(\n            EXT_CONFIG_VAR='some_value',\n        )\n\n        # attach your views etc. here\n\n        FlaskInjector(app=app, modules=[MyModule])\n\n        app.run()\n\n*Make sure to bind extension objects as singletons.*\n",
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        "keywords": "Dependency Injection",
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        "name": "Flask-Injector",
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