[MCC-1532869] Python Lib-Details section is missing for error message if first_n_rows parameter is not parsed

[ibaig-mdsol]

fix

• [KI]Python Lib-Details section is missing for error message if first_n_rows parameter is not parsed
• MCC-1532869

Checklist

• Review the pull request to fix typos and ensure variable/function names are intuitive, etc.
• Make sure the pull request does not have excessive number of unnecessary commits. Utilize the git commit --amend --no-edit command to reduce commit messages when making small file changes (like changing linespacing).
• Make sure you have added unit tests for the code changes. Tests should be added in the tests/ folder.
• Modify docs, if required. Add any new documentation in the doc/ folder.
• Rebase on latest active development branch (develop/main).

Changes Summary

This PR improves input validation for fetch_data so invalid first_n_rows values produce a clear, structured ValidationError before any transport call is made.

What changed

• Added integer coercion/validation helper in default.py.
• Updated fetch_data to validate/coerce first_n_rows through that helper in default.py.
• Added test coverage for non-numeric inputs ("ten" and {}) in test_fetch_data.py.

Behavior change

• first_n_rows values that cannot be converted to int now raise ValidationError with:
• error code: INT_001
• detailed conversion message
• field detail for first_n_rows
• expected guidance: "Ensure you provide a numeric value for this field."
• No transport request is sent when validation fails.

Why

This makes client-side failures easier to diagnose and keeps error formatting consistent with the SDK’s structured validation model.

Deployment Notes

• None

Example

from dataconnect import DataConnectClient
from uuid import UUID

user_token = "<token>" # From iMedidata > Data Connect > Developer Center

try:
	with DataConnectClient.connect(
        host="enodia-gateway-sandbox.platform.imedidata.net",
        port=443,
    	token=user_token) as dataconnect_client:
		dataset_uuid = UUID("d6ca6e81-6372-5848-a7c6-69f697485a4a")
		
		 # Fetch only the first 10 rows from the server
		data = dataconnect_client.fetch_data(
			dataset_uuid=dataset_uuid, first_n_rows="ten")
		
		print(data.head(3))

except Exception as e:
    print(f"Error: {e}")

Output

Error: Error Code: [INT_001]
Message: invalid literal for int() with base 10: 'ten'
Timestamp: 2026-08-31T17:51:56Z
Details:

Error Detail:
Field: first_n_rows
Expected: Ensure you provide a numeric value for this field.