Include informative validation error message for summary_case.set_summary_values()

[hnformentin]

If the length of value_vector is larger than expected, the new_vector is not created and no error message is shown.

summary_case.set_summary_values(NEW_VECTOR, "SM3/DAY", value_vector)

If NEW_VECTOR is a string with length larger than 8 characters, e.g. ROPR_FROM_1_TO_23, the new_vector is not created and no error message is shown.

In both cases, it would be nicer to get a informative error message.

How to reproduce:

• In the code below, if new_vector_name = f"{VECTOR_NAME}_S{N_REGIONS}_TEST_LONG:1", the vector is not created, no error messages

• But if new_vector_name = f"{VECTOR_NAME}_S{N_REGIONS}:1", then it works

• if include list_values.append(0), the vector in not created an no error message is shown.

"""
This script connects to a running ResInsight instance, retrieves summary case data, 
calculates the sum of RGIP values across multiple regions, and updates the summary case 
with the new calculated values.
Usage:
    Ensure a ResInsight instance is running and accessible. 
    Modify the `new_vector_name` and `case_id` as needed.
    The script will output a CSV file named "RGIP_Sum_Region.csv" and update the summary case with the new values.

 March 2025
"""

import rips
import pandas as pd


N_REGIONS = 2 # number of regions
VECTOR_NAME = "RGIP"
UNIT = "SM3"

# Connect to a running ResInsight instance
resinsight = rips.Instance.find()

if resinsight:
    project = resinsight.project
    summary_cases = project.summary_cases()
    
    case_id = 2
    # Use the correct case_id, 2 is for GFS_BRENT_FATF_SEP24_BLOCKPRESSURE
    # for case in summary_cases:
    #     print(f"Case ID: {case.id}, Case Name: {case.short_name}")
    summary_case = project.summary_case(case_id)
    if summary_case is None:
        print("No summary case found.")
        exit()
    
    max_region = N_REGIONS + 1
    new_vector_name = f"{VECTOR_NAME}_S{N_REGIONS}_TEST_LONG:1"

    df = pd.DataFrame({f"region_{i}": summary_case.summary_vector_values(f"{VECTOR_NAME}:{i}").values for i in range(1, max_region)})
    df[new_vector_name] = df.sum(axis=1)

    csv_file_name = f"{VECTOR_NAME}_Sum_Region_1to{N_REGIONS}.csv"
    df.to_csv(csv_file_name)

    list_values = df[new_vector_name].values.tolist()
    summary_case.set_summary_values(new_vector_name, UNIT, list_values)

    print(f"Done! New summary vector {new_vector_name} created and updated.")
    print(f"For quality check purposes, check {csv_file_name}.")