HTTP Methods for Forms
Web forms use HTTP methods to communicate with the server.POST Method
Purpose: Submit data to create new resourcesUsed for form submissions that create or modify data
GET Method
Purpose: Request data from serverUsed for retrieving and displaying data
Form Submission Flow
1
User fills form
User enters data into HTML form fields
2
Form submitted via POST
Browser sends HTTP POST request with form data
3
Flask processes request
Server validates and inserts data into database
4
Response sent
Server redirects or displays confirmation message
HTML Form Implementation
Create a form that accepts user information.Form Attributes Explained
action attribute
action attribute
/add route on the server.method attribute
method attribute
name attribute
name attribute
name attribute identifies each form field. These names become dictionary keys in Flask’s request.form.required attribute
required attribute
Flask Backend Implementation
Handle the form submission and database insertion.Code Breakdown
Route with multiple methods
Route with multiple methods
- GET: Display the form
- POST: Process form submission
By default, routes only accept GET requests. Explicitly specify
methods to accept POST.Accessing form data
Accessing form data
request.form is a dictionary containing all submitted form fields.Keys match the name attributes from the HTML form.Server-side validation
Server-side validation
Error handling
Error handling
Redirect after POST
Redirect after POST
Handling Duplicate Emails
If you try to insert the same email twice, the database operation will fail.Why Does This Happen?
email column prevents duplicate entries.
- First Insertion
- Duplicate Insertion
Email doesn’t exist yet - insertion succeeds.
Proper Error Handling
Complete Working Example
Best Practices
Use Parameterized Queries
Validate All Input
- Check for empty fields
- Validate email format
- Sanitize user input
- Set length limits
Handle Errors Gracefully
Use Flash Messages
This example uses SQLite for simplicity. In production applications, consider using an ORM like SQLAlchemy for better security, validation, and database abstraction.