Flask-FTSCursor 0.2.5

An extension to facilitate using FTSCursor with flask

Flask-FTSCursor

An extension to facilitate using FTSCursor with Flask

Installation

pip3 install flask-ftscursor

Mission Statement

This package was inspired by Miguel Grinberg's Flask Mega-Tutorial, specifically Chapter 16: Full-Text Search. Even more specifically, it was this sentence:

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.

Flask-FTSCursor is such a package. It provides high-level access to SQLite3 full-text searches while being able to coexist harmoniously with SQLAlchemy.

Tutorial

This will be a very minimal demonstration of the FTS object. For an example of an app that uses Flask-FTSCursor, see ucsd-bisb-unofficial.

First import the things we will need

import sqlite3
from flask import Flask
from flask_ftscursor import FTS

Create a FTS object

fts = FTS()

Define an application factory function

def create_app():
    app = Flask(__name__)
    app.config['FTS_DATABASE'] = 'fts.db'
    app.config['FTS_SOURCE_DATABASE'] = 'app.db'
    fts.init_app(app)
    return app

Create the app

app = create_app()

Put some data in the source database

conn = sqlite3.connect(app.config['FTS_SOURCE_DATABASE'])
c = conn.cursor()
c.executescript('''
    CREATE TABLE my_table(id INTEGER, body TEXT);
    INSERT INTO my_table(id, body) VALUES
    (1, 'this is a test'),
    (2, 'a second test');
    '''
)
conn.commit()

Try a search (this will fail, because nothing has been indexed yet)

with app.app_context()
    app.fts.search(table='my_table', query='this test', page=1, per_page=2)

Index some rows from the source database (adding them to the FTS database)

with app.app_context()
    app.fts.index(table='my_table', id=1, searchable=('body',))
    app.fts.index(table='my_table', id=2, searchable=('body',))

Perform a full-text search

with app.app_context()
    app.fts.search(table='my_table', query='this test', page=1, per_page=2)

{'hits': {'total': 1, 'hits': ({'_id': 1},)}}

Try a different query

with app.app_context()
    app.fts.search(table='my_table', query='second', page=1, per_page=2)

{'hits': {'total': 1, 'hits': ({'_id': 2},)}}

Drop the FTS table, removing its contents from the FTS database

with app.app_context()
    app.fts.drop(table='my_table')

Configuration

Flask-FTSCursor relies on two items in the app's configuration: FTS_DATABASE and FTS_SOURCE_DATABASE. The value of FTS_SOURCE_DATABASE should be the file path of the app's main SQLite3 database, or whichever database contains the entries that will be indexed. The value of FTS_DATABSE should be the file path where the database containing the FTS tables will be kept.

Abstraction

Flask-FTSCursor provides functions named add_to_index(), remove_from_index(), and query_index() which can be used in place of the similarly named functions given in Miguel Grinberg's Flask Mega-Tutorial, Chapter 16: Full-Text Search, under the section titled "A Full-Text Search Abstraction." For an example of an app that uses these functions, see ucsd-bisb-unofficial.