📅 2025-11-16 — Session: Developed JSONL Error Detection and Repair Scripts
🕒 20:05–20:15
🏷️ Labels: JSON, Python, Error Handling, Data Cleaning, File Processing
📂 Project: Dev
Session Goal
The session aimed to develop and refine scripts for detecting, handling, and repairing malformed JSON lines in JSONL files using Python.
Key Activities
- Implemented a script to detect malformed JSON entries in a JSONL file, capturing line numbers and error messages.
- Created a validation script to check the existence of a JSONL file and ensure each line is correctly parsed as JSON.
- Developed error handling techniques for JSON decoding errors, providing detailed feedback on failures.
- Demonstrated methods for reading and printing specific lines or portions of JSONL files.
- Designed a script to fix formatting issues in JSONL files, such as replacing literal backslash-n sequences with actual newlines.
- Conducted code cleanup to remove trailing backslash-n and backslash-r characters, ensuring valid JSON formatting.
- Outlined a comprehensive JSONL repair process, including a safer reader function for handling concatenated JSON objects.
- Addressed a Chroma metadata error by implementing a serialization patch.
Achievements
- Successfully developed multiple scripts to handle various aspects of JSONL file processing, from error detection to data repair.
- Enhanced error handling capabilities for JSON processing in Python, providing robust solutions for common formatting and decoding issues.
Pending Tasks
- Further testing and validation of the developed scripts in diverse real-world scenarios to ensure robustness and reliability.