TLO Dependency Extraction Script

This script is designed to automate the process of extracting dependencies from TLO (Top Level Offering) JSON files and outputting them in a formatted manner.

📝 How the Script Works

1. 🖥️ The script prompts the user to enter the name of the input file (without the .json extension). This file should be located in a directory, which is named 'Sample_JSON_30May23' by default, but the user can change the directory's name and the script will still function properly.

2. 📂 The script opens and reads the content of the specified JSON file. If the file is not found or contains invalid JSON, the script reports an error and exits.

3. 🔍 It extracts the id values from the bundledProductOffering array within the file and looks for corresponding files in the directory with prefixes (e.g., O_, R_, G_, S_). The prefix is taken from the filename in the directory that contains the identifier.

4. 🔄 For each identifier found, the script checks for a file with the corresponding prefix and identifier in the same directory, opens it, and processes its content. If the file's prefix is R_, the script also checks for promotion_soc values and adds additional dependencies.

5. 📝 All identifiers found are written to a file named updated_ids.txt.

6. ✨ The script also extracts unique identifiers from productSpecification and writes them to a file named product_spec_ids.txt with the prefix FTR_.

7. 📋 A copy of the original input file is created with the suffix _copy.

8. 💾 The modified data is saved to this copy file. The original file remains untouched.

9. 🚀 The script executes final_output.py as a subprocess, which reads data from product_spec_ids.txt and updated_ids.txt, formats them, and writes to a new file named formatted_output.txt.

10. 🧹 The script executes remove_temp_files.py as a subprocess, which deletes temporary files product_spec_ids.txt and updated_ids.txt.

📌 Notes

• Please ensure that the script is in the same directory as the Sample_JSON_30May23 folder or the folder you are using.
• The original input file is not modified by the script; all changes are made to a copy of the file.

🔧 Requirements

• Python 3.x

🚀 Usage

Execute the script by running:

python script.py