Introduction to Fieldify

Fieldify is a powerful library designed to make data manipulation easy and convenient. Whether you’re transforming, validating, or processing data, Fieldify provides an array of APIs to streamline your tasks. Here we introduce some of the most useful Fieldify APIs with examples.

Getting Started

 import fieldify
# Initialize Fieldify f = fieldify.Fieldify() 

Field Mapping

 from fieldify import Fieldify
data = {"name": "John Doe", "age": 30}
f = Fieldify() f.map_field("name") f.map_field("age")
result = f.transform(data) print(result)  # Output: {'name': 'John Doe', 'age': 30} 

Validation

 from fieldify import Fieldify
data = {"name": "John Doe", "age": "invalid_age"}
def validate_age(age):
    return age.isdigit()

f = Fieldify() f.map_field("name") f.map_field("age", validator=validate_age)
result = f.transform(data) print(result)  # Output: {'name': 'John Doe', 'age': None} 

Default Values

 from fieldify import Fieldify
data = {"name": "John Doe"}
f = Fieldify() f.map_field("name") f.map_field("age", default=25)
result = f.transform(data) print(result)  # Output: {'name': 'John Doe', 'age': 25} 

Data Processing Example

 from fieldify import Fieldify
data = {"name": "Jane Doe", "age": "35", "email": "jane@example.com"}
def validate_age(age):
    return age.isdigit()

f = Fieldify() f.map_field("name") f.map_field("age", validator=validate_age) f.map_field("email")
result = f.transform(data) print(result)  # Output: {'name': 'Jane Doe', 'age': 35, 'email': 'jane@example.com'} 

Building an App with Fieldify

Let’s create a simple app that uses some of the introduced Fieldify APIs.

 from fieldify import Fieldify from flask import Flask, request
app = Flask(__name__)
form_fields = Fieldify() form_fields.map_field("username") form_fields.map_field("password")
@app.route('/submit', methods=['POST']) def submit_form():
    form_data = request.form.to_dict()
    processed_data = form_fields.transform(form_data)
    return processed_data

if __name__ == '__main__':
    app.run(debug=True)

In this app, we are accepting user data submitted through a form and using Fieldify to process this data easily.

Fieldify makes your life easier by offering simple yet powerful ways to manage and transform data. Incorporate Fieldify into your data manipulation tasks to achieve cleaner, more efficient code.

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