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refactor: Update redact.py to handle asciinema cast v2 JSON format
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1 changed files with 48 additions and 22 deletions
70
redact.py
70
redact.py
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@ -2,38 +2,64 @@
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import re
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import sys
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import os
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import json
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def process_file(input_path, output_path):
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"""
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Process a text file to filter out certain sections based on ANSI cursor commands.
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If a line contains "\u001b[ROW;COL]H" followed by "Atuin", skip it and all subsequent
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lines until finding a line with "\u001b[ROW;(COL-1)H".
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Process an asciinema cast v2 file to filter out certain sections based on ANSI cursor commands.
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Format: First line is a JSON header. Subsequent lines are JSON arrays: [timestamp, "o", "text"]
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If a text field contains "\u001b[ROW;COL]H" followed by "Atuin", skip it and all subsequent
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records until finding a text with "\u001b[ROW;(COL-1)H".
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"""
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skip_mode = False
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target_pattern = None
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ansi_pattern = re.compile(r'\\u001b\[(\d+);(\d+)H')
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ansi_pattern = re.compile(r'\u001b\[(\d+);(\d+)H')
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is_first_line = True
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with open(input_path, 'r', encoding='utf-8') as infile, open(output_path, 'w', encoding='utf-8') as outfile:
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for line in infile:
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# If we're not in skip mode, check if we need to enter it
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if not skip_mode:
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if '\\u001b[' in line and 'Atuin' in line:
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match = ansi_pattern.search(line)
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if match:
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row = match.group(1)
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col = int(match.group(2))
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# Create pattern for the line that will end the skip section
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target_pattern = f'\\u001b[{row};{col-1}H'
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skip_mode = True
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continue # Skip this line
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# If we're not skipping, write the line
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# Always include the header (first line)
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if is_first_line:
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outfile.write(line)
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is_first_line = False
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continue
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# Parse the JSON record
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try:
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record = json.loads(line)
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if not isinstance(record, list) or len(record) != 3 or record[1] != "o":
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# If not a valid record, just write it out
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outfile.write(line)
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continue
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text = record[2] # The text content
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# If we're not in skip mode, check if we need to enter it
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if not skip_mode:
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if '\u001b[' in text and 'Atuin' in text:
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match = ansi_pattern.search(text)
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if match:
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row = match.group(1)
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col = int(match.group(2))
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# Create pattern for the ending sequence
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target_pattern = f'\u001b[{row};{col-1}H'
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skip_mode = True
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continue # Skip this record
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# If we're not skipping, write the record
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outfile.write(line)
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# If we're in skip mode, check if we should exit it
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else:
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if target_pattern in text:
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skip_mode = False
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outfile.write(line) # Include the matching record
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except json.JSONDecodeError:
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# If we can't parse the line as JSON, include it anyway
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outfile.write(line)
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# If we're in skip mode, check if we should exit it
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else:
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if target_pattern in line:
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skip_mode = False
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outfile.write(line) # Include the matching line
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if __name__ == "__main__":
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if len(sys.argv) != 3:
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