#!/usr/bin/env python3
"""Simple direct test of progress callback with stderr logging"""
from core.semantic_diff import SemanticDiffEngine
import json
import sys
engine = SemanticDiffEngine()
# Create a medium-large config (should trigger progress at >2s estimate)
config = json.dumps({f"key_{i}": {"nested": f"val_{i}", "data": [1,2,3]} for i in range(600)})
print("Testing Progress Callback with stderr logging")
print(f"Config size: {len(config) * 2:,} chars")
print()
estimation = engine.estimate_complexity(config, config)
print(f"Estimated time: {estimation['estimated_seconds']}s")
print(f"Should show progress: {estimation['should_show_progress']}")
print()
if estimation['should_show_progress']:
print("Starting comparison - watch for progress messages on stderr:")
print("-" * 70)
# Define progress callback that logs to stderr
def progress_callback(current: int, total: int):
if estimation['should_show_progress']:
percent = int((current / total) * 100)
# This is what the MCP tool will output
print(f"🔄 Smart Diff Progress: {percent}% ({current}/{total})",
file=sys.stderr, flush=True)
# Initial message
if estimation['should_show_progress']:
print("🔍 Starting Smart Diff comparison...", file=sys.stderr, flush=True)
print(f" Estimated time: {estimation['estimated_seconds']}s", file=sys.stderr, flush=True)
# Run the comparison
result = engine.compare_2way(config, config, "json", progress_callback=progress_callback)
# Completion message
if estimation['should_show_progress']:
print("✅ Smart Diff complete!", file=sys.stderr, flush=True)
print("-" * 70)
print(f"\nResult: Success={result.success}, Similarity={result.similarity_score}%")
print("\n✅ Test complete! Did you see progress messages above?")
