{
    "info": {
        "author": "Anthony Aylward",
        "author_email": "aaylward@eng.ucsd.edu",
        "bugtrack_url": null,
        "classifiers": [
            "Environment :: Web Environment",
            "Intended Audience :: Developers",
            "License :: OSI Approved :: MIT License",
            "Operating System :: OS Independent",
            "Programming Language :: Python",
            "Topic :: Internet :: WWW/HTTP :: Dynamic Content",
            "Topic :: Software Development :: Libraries :: Python Modules"
        ],
        "description": "# Flask-FTSCursor\nAn extension to facilitate using [FTSCursor](https://github.com/anthony-aylward/ftscursor) with Flask\n\n## Installation\n`pip3 install flask-ftscursor`\n\n## Mission Statement\n\nThis package was inspired by Miguel Grinberg's\n[Flask Mega-Tutorial](https://blog.miguelgrinberg.com/post/the-flask-mega-tutorial-part-i-hello-world),\nspecifically [Chapter 16: Full-Text Search](https://blog.miguelgrinberg.com/post/the-flask-mega-tutorial-part-xvi-full-text-search).\nEven more specifically, it was this sentence:\n>Using the searching capabilities of one of the relational databases could also be a good choice, but given the fact that SQLAlchemy does not support this functionality, I would have to handle the searching with raw SQL statements, or else find a package that provides high-level access to text searches while being able to coexist with SQLAlchemy.\n\nFlask-FTSCursor is such a package. It provides high-level access to SQLite3\nfull-text searches while being able to coexist harmoniously with SQLAlchemy.\n\n## Tutorial\n\nThis will be a very minimal demonstration of the `FTS` object. For an example of\nan app that uses Flask-FTSCursor, see [ucsd-bisb-unofficial](https://github.com/anthony-aylward/ucsd-bisb-unofficial/blob/master/ucsd_bisb_unofficial/models.py).\n\nFirst import the things we will need\n```python\nimport sqlite3\nfrom flask import Flask\nfrom flask_ftscursor import FTS\n```\nCreate a `FTS` object\n```python\nfts = FTS()\n```\nDefine an application factory function\n```python\ndef create_app():\n    app = Flask(__name__)\n    app.config['FTS_DATABASE'] = 'fts.db'\n    app.config['FTS_SOURCE_DATABASE'] = 'app.db'\n    fts.init_app(app)\n    return app\n```\nCreate the app\n```python\napp = create_app()\n```\nPut some data in the source database\n```python\nconn = sqlite3.connect(app.config['FTS_SOURCE_DATABASE'])\nc = conn.cursor()\nc.executescript('''\n    CREATE TABLE my_table(id INTEGER, body TEXT);\n    INSERT INTO my_table(id, body) VALUES\n    (1, 'this is a test'),\n    (2, 'a second test');\n    '''\n)\nconn.commit()\n```\nTry a search (this will fail, because nothing has been indexed yet)\n```python\nwith app.app_context()\n    app.fts.search(table='my_table', query='this test', page=1, per_page=2)\n```\nIndex some rows from the source database (adding them to the FTS database)\n```python\nwith app.app_context()\n    app.fts.index(table='my_table', id=1, searchable=('body',))\n    app.fts.index(table='my_table', id=2, searchable=('body',))\n```\nPerform a full-text search\n```python\nwith app.app_context()\n    app.fts.search(table='my_table', query='this test', page=1, per_page=2)\n```\n```python\n{'hits': {'total': 1, 'hits': ({'_id': 1},)}}\n```\nTry a different query\n```python\nwith app.app_context()\n    app.fts.search(table='my_table', query='second', page=1, per_page=2)\n```\n```python\n{'hits': {'total': 1, 'hits': ({'_id': 2},)}}\n```\nDrop the FTS table, removing its contents from the FTS database\n```python\nwith app.app_context()\n    app.fts.drop(table='my_table')\n```\n\n## Configuration\n\nFlask-FTSCursor relies on two items in the app's configuration: `FTS_DATABASE`\nand `FTS_SOURCE_DATABASE`.\nThe value of `FTS_SOURCE_DATABASE` should be the file path of the app's main\nSQLite3 database, or whichever database contains the entries that will be\nindexed. The value of `FTS_DATABSE` should be the file path where the database\ncontaining the FTS tables will be kept.\n\n## Abstraction\n\nFlask-FTSCursor provides functions named `add_to_index()`,\n`remove_from_index()`, and `query_index()` which can be used in place of the\nsimilarly named functions given in Miguel Grinberg's Flask Mega-Tutorial,\n[Chapter 16: Full-Text Search](https://blog.miguelgrinberg.com/post/the-flask-mega-tutorial-part-xvi-full-text-search),\nunder the section titled \"A Full-Text Search Abstraction.\" For an example of\nan app that uses these functions, see [ucsd-bisb-unofficial](https://github.com/anthony-aylward/ucsd-bisb-unofficial/blob/master/ucsd_bisb_unofficial/models.py).\n\n\n",
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