Frictionless Py: How to Validate Conditional Field Dependencies in CSV?

[megin1989]

🚀 Issue Summary

I’m using Frictionless Py to validate a CSV file and need help enforcing some conditional validation rules.

✅ Expected Validation Rules

1️⃣ Conditional Enum Validation:

• If the country_code field contains "US", then the country_description field must be "United States".

2️⃣ Conditional Presence Validation:

• If one field contains a value, another specific field must not be empty.

3️⃣ Conditional Answer Code Validation:

• If the code field contains "44250-9", then the answer_code field must be one of:
  "LA6568-5", "LA6569-3", "LA6570-1", or "LA6571-9".

4️⃣ Warning Instead of Error Validation:

• For some validation failures, we would prefer to show warnings rather than blocking errors. Is there a way to configure this in Frictionless Py?

5️⃣ Handling Multiple Values in a Single Field:

• Does Frictionless support validating multiple values in a single field when separated by a semicolon (;)? Currently, it only supports enum validation with a single value. Is there a way to enable validation for multiple values using a semicolon as the separator?

🔧 What I’ve Tried

I’ve explored the Frictionless schema and custom validation checks, but I’m not sure about the best approach to enforce these conditions.

💡 Questions

• What is the recommended way to implement these rules in Frictionless Py?
• Should I use custom validation functions or is there a built-in way to handle these dependencies?
• Any examples or references would be greatly appreciated!

Thanks in advance for any guidance! 🙌