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        "author": "Karl Gyllstrom",
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            "License :: OSI Approved :: BSD License",
            "Operating System :: OS Independent",
            "Programming Language :: Python",
            "Topic :: Internet :: WWW/HTTP :: Dynamic Content",
            "Topic :: Software Development :: Libraries :: Python Modules"
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        "description": "Welcome to Flask-WhooshAlchemy!\n===============================\n\nFlask-WhooshAlchemy is a Flask extension that integrates the text-search functionality of `Whoosh <https://bitbucket.org/mchaput/whoosh/wiki/Home>`_ with the ORM of `SQLAlchemy <http://www.sqlalchemy.org/>`_ for use in `Flask <http://flask.pocoo.org/>`_ applications.\n\nSource code and issue tracking at `GitHub <http://github.com/gyllstromk/Flask-WhooshAlchemy>`_.\n\nView the official docs at http://packages.python.org/Flask-WhooshAlchemy/.\n\nInstall\n-------\n\n::\n\n    pip install flask_whooshalchemy\n\nOr:\n\n::\n    \n    git clone https://github.com/gyllstromk/Flask-WhooshAlchemy.git\n\nQuickstart\n----------\n\nLet's set up the environment and create our model:\n\n::\n\n    import flask.ext.whooshalchemy\n\n    # set the location for the whoosh index\n    app.config['WHOOSH_BASE'] = 'path/to/whoosh/base'\n\n\n    class BlogPost(db.Model):\n      __tablename__ = 'blogpost'\n      __searchable__ = ['title', 'content']  # these fields will be indexed by whoosh\n\n      id = app.db.Column(app.db.Integer, primary_key=True)\n      title = app.db.Column(app.db.Unicode)  # Indexed fields are either String,\n      content = app.db.Column(app.db.Text)   # Unicode, or Text\n      created = db.Column(db.DateTime, default=datetime.datetime.utcnow)\n\nOnly two steps to get started:\n\n1) Set the ``WHOOSH_BASE`` to the path for the whoosh index. If not set, it will default to a directory called 'whoosh_index' in the directory from which the application is run.\n2) Add a ``__searchable__`` field to the model which specifies the fields (as ``str`` s) to be indexed .\n\nLet's create a post:\n\n::\n\n    db.session.add(\n        BlogPost(title='My cool title', content='This is the first post.')\n    ); db.session.commit()\n\nAfter the session is committed, our new ``BlogPost`` is indexed. Similarly, if the post is deleted, it will be removed from the Whoosh index.\n\nText Searching\n--------------\n\nTo execute a simple search:\n\n::\n\n    results = BlogPost.query.whoosh_search('cool')\n\nThis will return all ``BlogPost`` instances in which at least one indexed field (i.e., 'title' or 'content') is a text match to the query. Results are ranked according to their relevance score, with the best match appearing first when iterating. The result of this call is a (subclass of) :class:`sqlalchemy.orm.query.Query` object, so you can chain other SQL operations. For example::\n\n    two_days_ago = datetime.date.today() - datetime.timedelta(2)\n    recent_matches = BlogPost.query.whoosh_search('first').filter(\n        BlogPost.created >= two_days_ago)\n\nOr, in alternative (likely slower) order::\n\n    recent_matches = BlogPost.query.filter(\n        BlogPost.created >= two_days_ago).whoosh_search('first')\n\nWe can limit results::\n\n    # get 2 best results:\n    results = BlogPost.query.whoosh_search('cool', limit=2)\n\nBy default, the search is executed on all of the indexed fields as an OR conjunction. For example, if a model has 'title' and 'content' indicated as ``__searchable__``, a query will be checked against both fields, returning any instance whose title or content are a content match for the query. To specify particular fields to be checked, populate the ``fields`` parameter with the desired fields::\n\n    results = BlogPost.query.whoosh_search('cool', fields=('title',))\n\nBy default, results will only be returned if they contain all of the query terms (AND). To switch to an OR grouping, set the ``or_`` parameter to ``True``::\n\n    results = BlogPost.query.whoosh_search('cool', or_=True)",
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