Implemented data extraction and analysis scripts

📅 2025-12-29 — Session: Implemented data extraction and analysis scripts

🕒 05:10–05:20
🏷️ Labels: Python, Data Extraction, Text Processing, Code Analysis
📂 Project: Dev

The goal of this session was to implement and execute various Python scripts to extract and analyze data from report texts.

Extracted Result Dictionary Keys: Developed a script to search through the ‘reports.py’ file, identifying and extracting unique keys from a result dictionary, and returning a sorted list of the first 50 keys along with the total count of unique keys.
Extracted Result from Text: Created a script to search through a multiline string for a specific pattern indicating the start of a result block, printing the line number and a preview of the following lines.
Searched for Terms in Report Text: Implemented a script that iterates through a list of terms, checking if each term is present in ‘rep_text’ and printing a message if found.
Identified Output Assignments in Code: Developed a script to identify and print lines from a given text that contain assignments related to ‘outputs’ and ‘result’.
Extracted Output Lines from Text: Created a script to iterate through lines of a string, searching for lines that contain ‘outputs’ and printing their index and a truncated version of the line.
Printed Specific Lines from Text: Implemented a Python script to print specific lines (360 to 430) from ‘rep_text’, demonstrating string manipulation and output.

Successfully implemented and executed multiple scripts for data extraction and text processing, enhancing the ability to analyze report texts efficiently.

Further optimization of scripts for performance improvements and broader applicability in different contexts.