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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 = {} | |
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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 . | |
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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. |
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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') |