feat: design system overhaul — sidebar, AI chats, settings, brainstorm, color cleanup
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- Sidebar: dynamic brand-accent colors, brainstorm section restyled - AI chat general: popup panel with expand/collapse, hides when contextual AI open - AI chat contextual: tabs reordered (Actions first), X close button, height fix - Settings: all tabs restyled, 6 new color presets (sage, terracotta, iron, etc.) - Global color cleanup: emerald/orange hardcoded → brand-accent dynamic - Brainstorm page: orange → brand-accent throughout - PageEntry animation component added to key pages - Floating AI button: bg-brand-accent instead of hardcoded black - i18n: all 15 locales updated with new AI/billing keys - Billing: freemium quota tracking, BYOK, stripe subscription scaffolding - Admin: integrated into new design - AGENTS.md + CLAUDE.md project rules added
This commit is contained in:
Antigravity
248
.agent/skills/suno-lyric-transformer/scripts/lyrics-diff.py
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248
.agent/skills/suno-lyric-transformer/scripts/lyrics-diff.py
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#!/usr/bin/env python3
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# /// script
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# requires-python = ">=3.10"
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# dependencies = []
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# ///
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"""Produce structured diff between original and transformed lyrics.
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Compares two versions of lyrics and categorizes changes by type (added,
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removed, modified) and tracks which sections they fall in.
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Usage:
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python lyrics-diff.py --original orig.txt --transformed trans.txt [options]
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# Compare two files
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python lyrics-diff.py --original orig.txt --transformed trans.txt
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# Compare two text strings
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python lyrics-diff.py --original-text "old lyrics" --transformed-text "new lyrics"
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# Output to file
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python lyrics-diff.py --original orig.txt --transformed trans.txt -o diff.json
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"""
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import argparse
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import difflib
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import json
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import re
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import sys
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from datetime import datetime, timezone
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from pathlib import Path
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SCRIPT_NAME = "lyrics-diff"
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VERSION = "1.0.0"
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def get_section_at_line(lines: list[str], line_idx: int) -> str:
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"""Determine which section a given line index falls in."""
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current_section = "(no section)"
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for i in range(line_idx + 1):
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if i < len(lines):
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stripped = lines[i].strip()
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tag_match = re.match(r'^\[([^\]:]+)\]$', stripped)
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if tag_match:
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current_section = tag_match.group(1).strip()
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return current_section
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def compute_diff(original: str, transformed: str) -> dict:
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"""Compute structured diff between original and transformed lyrics."""
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orig_lines = original.split('\n')
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trans_lines = transformed.split('\n')
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matcher = difflib.SequenceMatcher(None, orig_lines, trans_lines)
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changes = []
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sections_affected = set()
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for tag, i1, i2, j1, j2 in matcher.get_opcodes():
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if tag == 'equal':
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continue
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elif tag == 'replace':
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# Modified lines
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max_len = max(i2 - i1, j2 - j1)
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for k in range(max_len):
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orig_idx = i1 + k if k < (i2 - i1) else None
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trans_idx = j1 + k if k < (j2 - j1) else None
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if orig_idx is not None and trans_idx is not None:
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section = get_section_at_line(orig_lines, orig_idx)
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sections_affected.add(section)
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changes.append({
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"type": "modified",
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"section": section,
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"line": orig_idx + 1,
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"original": orig_lines[orig_idx],
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"transformed": trans_lines[trans_idx]
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})
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elif orig_idx is not None:
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section = get_section_at_line(orig_lines, orig_idx)
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sections_affected.add(section)
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changes.append({
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"type": "removed",
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"section": section,
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"line": orig_idx + 1,
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"original": orig_lines[orig_idx],
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"transformed": ""
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})
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elif trans_idx is not None:
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section = get_section_at_line(trans_lines, trans_idx)
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sections_affected.add(section)
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changes.append({
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"type": "added",
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"section": section,
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"line": trans_idx + 1,
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"original": "",
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"transformed": trans_lines[trans_idx]
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})
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elif tag == 'delete':
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for k in range(i1, i2):
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section = get_section_at_line(orig_lines, k)
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sections_affected.add(section)
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changes.append({
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"type": "removed",
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"section": section,
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"line": k + 1,
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"original": orig_lines[k],
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"transformed": ""
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})
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elif tag == 'insert':
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for k in range(j1, j2):
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section = get_section_at_line(trans_lines, k)
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sections_affected.add(section)
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changes.append({
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"type": "added",
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"section": section,
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"line": k + 1,
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"original": "",
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"transformed": trans_lines[k]
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})
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# Generate unified diff for human-readable output
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unified = list(difflib.unified_diff(
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orig_lines, trans_lines,
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fromfile="original", tofile="transformed",
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lineterm=""
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))
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summary = {
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"lines_added": sum(1 for c in changes if c["type"] == "added"),
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"lines_removed": sum(1 for c in changes if c["type"] == "removed"),
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"lines_modified": sum(1 for c in changes if c["type"] == "modified"),
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"sections_affected": sorted(sections_affected)
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}
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return {
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"changes": changes,
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"unified_diff": "\n".join(unified),
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"summary": summary
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}
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def build_report(result: dict, skill_path: str = "") -> dict:
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"""Build the standard output report."""
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total_changes = len(result["changes"])
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status = "pass"
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if total_changes == 0:
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status = "pass"
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else:
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status = "info"
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findings = []
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if total_changes == 0:
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findings.append({
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"severity": "info",
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"category": "diff",
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"issue": "No differences found between original and transformed lyrics.",
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"fix": "Lyrics are identical."
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})
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severity_counts = {"critical": 0, "high": 0, "medium": 0, "low": 0, "info": 0}
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for f in findings:
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severity_counts[f["severity"]] = severity_counts.get(f["severity"], 0) + 1
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return {
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"script": SCRIPT_NAME,
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"version": VERSION,
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"skill_path": skill_path,
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"timestamp": datetime.now(timezone.utc).isoformat(),
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"status": status,
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"changes": result["changes"],
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"unified_diff": result["unified_diff"],
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"summary": result["summary"],
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"findings": findings,
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"finding_counts": {
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"total": len(findings),
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**severity_counts
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}
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}
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def main():
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parser = argparse.ArgumentParser(
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description="Produce structured diff between original and transformed lyrics.",
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formatter_class=argparse.RawDescriptionHelpFormatter,
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epilog="""
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Examples:
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%(prog)s --original orig.txt --transformed trans.txt
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%(prog)s --original-text "old lyrics" --transformed-text "new lyrics"
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%(prog)s --original orig.txt --transformed trans.txt -o diff.json --verbose
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Exit codes: 0=pass, 1=differences found, 2=error
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"""
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)
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parser.add_argument("file", nargs="?", help="Unused (for pattern consistency)")
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parser.add_argument("--original", help="Path to original lyrics file")
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parser.add_argument("--transformed", help="Path to transformed lyrics file")
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parser.add_argument("--original-text", help="Original lyrics text directly")
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parser.add_argument("--transformed-text", help="Transformed lyrics text directly")
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parser.add_argument("--text", help="Unused (for pattern consistency)")
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parser.add_argument("--stdin", action="store_true", help="Unused (for pattern consistency)")
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parser.add_argument("-o", "--output", help="Output file path (defaults to stdout)")
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parser.add_argument("--verbose", action="store_true", help="Print diagnostics to stderr")
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parser.add_argument("--skill-path", default="", help="Skill path for report context")
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args = parser.parse_args()
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original = ""
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transformed = ""
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if args.original_text and args.transformed_text:
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original = args.original_text.replace('\\n', '\n')
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transformed = args.transformed_text.replace('\\n', '\n')
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elif args.original and args.transformed:
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orig_path = Path(args.original)
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trans_path = Path(args.transformed)
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if not orig_path.exists():
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print(f"Error: File not found: {args.original}", file=sys.stderr)
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sys.exit(2)
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if not trans_path.exists():
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print(f"Error: File not found: {args.transformed}", file=sys.stderr)
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sys.exit(2)
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original = orig_path.read_text()
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transformed = trans_path.read_text()
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else:
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print("Error: Provide --original and --transformed files, or --original-text and --transformed-text.", file=sys.stderr)
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parser.print_help()
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sys.exit(2)
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if args.verbose:
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print(f"Comparing lyrics (original: {len(original)} chars, transformed: {len(transformed)} chars)...", file=sys.stderr)
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result = compute_diff(original, transformed)
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report = build_report(result, args.skill_path)
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output_json = json.dumps(report, indent=2)
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if args.output:
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Path(args.output).write_text(output_json)
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if args.verbose:
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print(f"Report written to {args.output}", file=sys.stderr)
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else:
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print(output_json)
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sys.exit(0 if len(result["changes"]) == 0 else 1)
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if __name__ == "__main__":
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main()
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