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Validation error details
📖 Scenario: You are building a simple REST API that accepts user data. You want to check if the data is valid and show clear error messages when it is not.
🎯 Goal: Create a Python dictionary with user data, set a validation rule, check the data against the rule, and print detailed error messages if the data is invalid.
📋 What You'll Learn
Create a dictionary called user_data with keys name and age and exact values 'Alice' and 17
Create a variable called min_age and set it to 18
Use an if statement to check if user_data['age'] is less than min_age and create an error message string called error_message
Print the error_message string
💡 Why This Matters
🌍 Real World
APIs often need to check if user input is correct and show clear error messages to help users fix mistakes.
💼 Career
Understanding validation and error messages is important for backend developers, API designers, and anyone working with user input.
Progress0 / 4 steps
1
Create user data dictionary
Create a dictionary called user_data with keys 'name' and 'age' and values 'Alice' and 17 exactly.
Rest API
Hint
Use curly braces to create a dictionary. Keys are strings and values are 'Alice' and 17.
2
Set minimum age for validation
Create a variable called min_age and set it to the integer 18.
Rest API
Hint
Just assign 18 to the variable min_age.
3
Check age and create error message
Use an if statement to check if user_data['age'] is less than min_age. If true, create a string variable called error_message with the text 'User is too young: age is X' where X is the actual age from user_data.
Rest API
Hint
Use an if statement and an f-string to include the age in the message.
4
Print the error message
Print the variable error_message to show the validation error details.
Rest API
Hint
Use print(error_message) inside the if block.
Practice
(1/5)
1. What is the main purpose of validation error details in a REST API response?
easy
A. To explain which input fields are wrong and why
B. To speed up the server response time
C. To encrypt the data sent to the client
D. To log user activity for analytics
Solution
Step 1: Understand validation errors
Validation errors tell us what input data is incorrect or missing.
Step 2: Purpose of error details
Error details explain which fields caused the problem and why, helping fix input.
Final Answer:
To explain which input fields are wrong and why -> Option A
B. It uses a list instead of mapping fields to messages
C. It uses wrong HTTP status code
D. It encrypts error messages
Solution
Step 1: Analyze error detail format
The "fields" key has a list of field names but no messages explaining the errors.
Step 2: Identify correct format
Validation error details should map each field to a specific error message, not just list fields.
Final Answer:
It uses a list instead of mapping fields to messages -> Option B
Quick Check:
Error details need field-message pairs [OK]
Hint: Error details need field names paired with messages [OK]
Common Mistakes:
Listing fields without error explanations
Assuming any error JSON is correct
Ignoring the need for descriptive messages
5. You want to design a REST API validation error response that shows multiple errors per field. Which JSON structure correctly supports this?
hard
A. {"errors": ["email: Required", "password: Too short"]}
B. {"error": "Multiple errors found"}
C. {"errors": {"email": ["Required", "Invalid format"], "password": ["Too short"]}}
D. {"fields": ["email", "password"]}
Solution
Step 1: Understand multiple errors per field
To show many errors for one field, use a list (array) of messages for that field.
Step 2: Check JSON structures
{"errors": {"email": ["Required", "Invalid format"], "password": ["Too short"]}} uses a dictionary with field keys and lists of error messages, which fits the need.