#!/usr/bin/env python3
"""Test progress messages with a config large enough to show progress"""
from core.semantic_diff import SemanticDiffEngine
import json
import sys
engine = SemanticDiffEngine()
# Create a larger config (1000 keys) that will definitely trigger progress
# From calibration: 1000 keys (103KB) = 16.4s
config = json.dumps({f"key_{i}": {"nested": f"val_{i}", "data": [1,2,3]} for i in range(1000)})
print("=" * 80)
print("Testing Progress Messages (Large Config)")
print("=" * 80)
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(f"Skip similarity: {estimation['skip_similarity']}")
print()
if estimation['should_show_progress']:
print("✅ Progress will be shown! Watch stderr below:")
print("=" * 80)
else:
print("❌ Config too small, progress won't show")
sys.exit(0)
# Progress callback
def progress_callback(current: int, total: int):
percent = int((current / total) * 100)
msg = f"🔄 Smart Diff Progress: {percent}% ({current}/{total})"
print(msg, file=sys.stderr, flush=True)
print(msg) # Also to stdout so we see it clearly
# Starting message
print("🔍 Starting Smart Diff comparison...", file=sys.stderr, flush=True)
print(f" Estimated time: {estimation['estimated_seconds']}s", file=sys.stderr, flush=True)
if estimation['skip_similarity']:
print(f" ⚡ Large config - skipping similarity", file=sys.stderr, flush=True)
# Run comparison
result = engine.compare_2way(config, config, "json", progress_callback=progress_callback)
# Completion
print("✅ Smart Diff complete!", file=sys.stderr, flush=True)
print()
print("=" * 80)
print(f"Result: Success={result.success}, Similarity={result.similarity_score}%")
print("=" * 80)
