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def load_analysis_data(project_id):
"""
Load analysis data from files for the given project.
Updated to handle the new structure where target_structure is generated during conversion.
"""
try:
output_dir = os.path.join("output", "analysis", project_id)
analysis_data = {}
Hi Parvathy,
We’ve done a matching exercise between the COBOL program and the .NET implementation and have prepared a detailed assessment document. It outlines the conversion accuracy, logic mapping, and areas that need refinement.
Request you to kindly review the document and verify .
Hi Varun,
I have also uploaded a program for NAS Evergreening. It isn't really complex and fairly straightforward. However we will see how the Speedboat reacts to it.
Problem with MAPE is that almost every MAPE module has several submodules inside it and it would be difficult to convert that unless all the submodules are also converted.
import pandas as pd
from sqlalchemy import create_engine, text
from sqlalchemy.exc import SQLAlchemyError
import mysql.connector
import logging
# Step 1: Configure logging
logging.basicConfig(filename='data_load_errors.log', level=logging.INFO,
format='%(asctime)s - %(levelname)s - %(message)s')