Enhanced Python Script for Survey Data Parsing

  • Day: 2023-03-23
  • Time: 22:30 to 22:45
  • Project: Dev
  • Workspace: WP 2: Operational
  • Status: Completed
  • Priority: MEDIUM
  • Assignee: Matías Nehuen Iglesias
  • Tags: Python, JSON, Data Parsing, Regular Expressions, Code Modification

Description

Session Goal

The session aimed to update and optimize a Python script for parsing survey data from text files into JSON format, focusing on comprehensive data capture and correct handling of specific fields.

Key Activities

  • Updated the Python code to correctly parse the ‘Value Labels’ field from survey text files, ensuring all relevant content is captured as a single string.
  • Modified the script to retain all lines of each field during the conversion of text input to JSON format.
  • Developed a method to process text files by grouping extracted fields and values by question numbers and handling multiple values for the same field by storing them in lists.
  • Implemented specific handling for ‘Value Labels’ by concatenating values instead of appending them as a list.
  • Adjusted the loop logic to ensure consecutive lines are appended to the value variable if they do not start with a new field name.

Achievements

  • Successfully updated the Python script to enhance data parsing capabilities, ensuring comprehensive and accurate JSON output.

Pending Tasks

  • Further testing may be required to ensure robustness across different survey formats.

Evidence

  • source_file=2023-03-23.sessions.jsonl, line_number=1, event_count=0, session_id=1adfca2ef6e75ba064b75392917481072629eff2d5c09ea78642b57085940058
  • event_ids: []