Welcome to the Ultimate Guide to `db-filters` APIs
The `db-filters` library is a powerful tool for refining and optimizing your database queries in Python. In this guide, we will introduce numerous APIs available within the library, along with code snippets to help you get started.
Basic Usage
from db_filters import Filter
from some_database_module import Database
db = Database.connect('database_uri')
# Basic filter by field
filter = Filter(field='name', operator='==', value='John Doe')
results = db.query(filter)
Complex Filters
from db_filters import AndFilter, OrFilter
# Combining filters using AND
filter = AndFilter(
Filter(field='age', operator='>', value=30),
Filter(field='city', operator='==', value='New York')
)
results = db.query(filter)
# Combining filters using OR
filter = OrFilter(
Filter(field='status', operator='==', value='active'),
Filter(field='signup_date', operator='<', value='2022-01-01')
)
results = db.query(filter)
Advanced Operators
# Using LIKE operator
filter = Filter(field='email', operator='like', value='%@example.com')
results = db.query(filter)
# Using IN operator
filter = Filter(field='role', operator='in', value=['admin', 'user'])
results = db.query(filter)
App Example
Below is a simple app example showcasing the use of `db-filters` APIs for effective data retrieval.
from flask import Flask, jsonify
from db_filters import Filter, AndFilter
from some_database_module import Database
app = Flask(__name__)
db = Database.connect('database_uri')
@app.route('/users')
def get_users():
filters = AndFilter(
Filter(field='status', operator='==', value='active'),
Filter(field='subscribe', operator='==', value=True)
)
users = db.query(filters)
return jsonify(users)
if __name__ == "__main__":
app.run(debug=True)
By leveraging the power of `db-filters`, you can write cleaner, more efficient database queries that improve the performance of your applications.
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