Interactive Data Validator

Problem Statement

Build a cloud-based data validation tool that processes data entries and allows interactive correction when validation issues are detected. The tool should run computations remotely and provide a mechanism for human-in-the-loop intervention when automatic validation cannot determine the correct action.

Requirements

1. Create a remote function that validates data entries against specific rules
2. When validation fails or is ambiguous, enable interactive user input to decide how to proceed
3. The function should accept a list of data records and return validated/corrected records
4. Each data record is a dictionary with fields: name (string), age (integer), and email (string)

Validation Rules

• name: Must be non-empty and contain only alphabetic characters and spaces
• age: Must be between 0 and 120
• email: Must contain exactly one '@' symbol and at least one '.' after the '@'

Interactive Behavior

When a validation rule fails:

1. Display the problematic record to the user
2. Show which validation rule failed
3. Prompt the user to either:
   • Provide a corrected value
   • Skip the record (exclude from output)
   • Keep the original value anyway

Implementation Details

• Use a remote execution environment with proper PTY support
• The main processing should happen in a cloud function, not locally
• Return a list of validated/corrected records
• Implement your solution in a file named validator.py

Dependencies { .dependencies }

modal { .dependency }

Provides serverless cloud computing capabilities for remote code execution.

Test Cases

Test 1: Valid records pass through unchanged { .test }

Input:

records = [
    {"name": "Alice Smith", "age": 30, "email": "alice@example.com"},
    {"name": "Bob Jones", "age": 25, "email": "bob@test.org"}
]

Expected behavior: All records should pass validation without requiring interactive input and be returned unchanged.

Test 2: Invalid record triggers interaction { .test }

Input:

records = [
    {"name": "Charlie123", "age": 30, "email": "charlie@example.com"}
]

Expected behavior: The validator should detect that the name contains invalid characters (digits), pause execution, and wait for user input on how to correct or handle the invalid record.

Test 3: Multiple validation issues { .test }

Input:

records = [
    {"name": "Dave", "age": 150, "email": "dave.example.com"}
]

Expected behavior: The validator should detect multiple issues (age out of range, email missing '@') and allow interactive correction for each problem field.