#!/usr/bin/env python3
"""
REAL TEST: 2000-key config (~70 second operation)
This will show meaningful progress over a full minute
"""
from core.semantic_diff import SemanticDiffEngine
import json
import sys
import time
engine = SemanticDiffEngine()
# 2000 keys = ~70 seconds (from calibration)
print("=" * 80)
print("🔥 REAL LONG-RUNNING OPERATION TEST")
print("=" * 80)
print("Creating 2000-key config (this should take ~70 seconds)...")
print()
config = json.dumps({f"key_{i}": {"nested": f"val_{i}", "data": [1,2,3]} for i in range(2000)})
print(f"Config size: {len(config) * 2:,} chars")
print()
estimation = engine.estimate_complexity(config, config)
print(f"📊 Complexity Estimation:")
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(f" Complexity score: {estimation['complexity_score']}/10")
print()
if not estimation['should_show_progress']:
print("❌ ERROR: This should definitely show progress!")
sys.exit(1)
print("✅ Starting comparison - this will take about a minute...")
print("✅ Watch the progress messages below!")
print("=" * 80)
print()
# Track timestamps for each progress update
progress_times = {}
start_time = time.time()
# Progress callback
def progress_callback(current: int, total: int):
percent = int((current / total) * 100)
elapsed = time.time() - start_time
# Log to stderr (what AI sees)
msg = f"🔄 Smart Diff Progress: {percent}% ({current}/{total}) - Elapsed: {elapsed:.1f}s"
print(msg, file=sys.stderr, flush=True)
# Also to stdout for visibility
print(msg, flush=True)
progress_times[current] = elapsed
# Starting messages
print("🔍 Starting Smart Diff comparison...", file=sys.stderr, flush=True)
print(f" Estimated time: {estimation['estimated_seconds']}s", file=sys.stderr, flush=True)
print(f" ⚡ Skipping similarity calculation (large config)", file=sys.stderr, flush=True)
# Run the comparison
result = engine.compare_2way(config, config, "json", progress_callback=progress_callback)
total_time = time.time() - start_time
print("✅ Smart Diff complete!", file=sys.stderr, flush=True)
print()
print("=" * 80)
print(f"📈 RESULTS:")
print("=" * 80)
print(f"Success: {result.success}")
print(f"Similarity: {result.similarity_score}%")
print(f"Total time: {total_time:.1f}s")
print(f"Estimated: {estimation['estimated_seconds']}s")
print(f"Accuracy: {(estimation['estimated_seconds'] / total_time * 100):.0f}% accurate")
print()
print("Progress Timeline:")
for progress, elapsed in sorted(progress_times.items()):
print(f" {progress}% -> {elapsed:.1f}s")
print()
print("=" * 80)
print("✅ AI AGENT: Could you follow the progress over this ~1 minute operation?")
print("=" * 80)
