Optimized JSON Payload and File Recovery Techniques

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📅 2025-03-06 — Session: Optimized JSON Payload and File Recovery Techniques

🕒 00:10–23:55
🏷️ Labels: JSON, API, File Recovery, Encoding, Python
📂 Project: Dev
⭐ Priority: MEDIUM

Session Goal: The session aimed to optimize JSON payloads for the Langflow API and address file recovery techniques for corrupted files due to encoding issues.

Key Activities:

  • Optimized JSON payload for Langflow API, including key fixes and improvements, and provided a Python request example.
  • Developed a comprehensive guide for recovering corrupted files, focusing on encoding issues, particularly with OpenOffice and CSV files.
  • Explored various recovery methods, including checking backups, using alternative programs like LibreOffice, and employing Python scripts with libraries such as chardet and iconv.

Achievements:

  • Successfully optimized JSON payloads for improved API integration.
  • Created detailed workflows and scripts for recovering files with encoding issues, enhancing data recovery processes.

Pending Tasks:

  • Further testing and validation of the recovery scripts across different file types and encoding scenarios.
  • Integration of optimized JSON payloads into the existing Langflow API workflows.

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