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This commit is contained in:
Aljaz Ceru
2025-07-22 14:02:11 +02:00
parent 1b456a2dcd
commit c128428e09
18 changed files with 323 additions and 323 deletions
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16
test_optimizer.py
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@@ -20,14 +20,14 @@ logger = logging.getLogger(__name__)
async def test_system():
"""Test the complete optimization system"""
print("🔍 Testing Lightning Fee Optimizer")
print("Testing Lightning Fee Optimizer")
# Initialize configuration
config_file = Path("config/default.json")
config = Config.load(str(config_file) if config_file.exists() else None)
async with LndManageClient(config.api.base_url) as client:
print("\n✅ Checking node connection...")
print("\nChecking node connection...")
if not await client.is_synced():
print("❌ Node is not synced to chain!")
return
@@ -35,7 +35,7 @@ async def test_system():
block_height = await client.get_block_height()
print(f"📦 Current block height: {block_height}")
print("\n📊 Fetching channel data...")
print("\nFetching channel data...")
# Get first few channels for testing
response = await client.get_open_channels()
if isinstance(response, dict) and 'channels' in response:
@@ -47,25 +47,25 @@ async def test_system():
print("❌ No channels found!")
return
print(f"🔗 Found {len(channel_ids)} channels to test with")
print(f"Found {len(channel_ids)} channels to test with")
# Analyze channels
analyzer = ChannelAnalyzer(client, config)
print("\n🔬 Analyzing channel performance...")
try:
metrics = await analyzer.analyze_channels(channel_ids)
print(f"✅ Successfully analyzed {len(metrics)} channels")
print(f"Successfully analyzed {len(metrics)} channels")
# Print analysis
print("\n📈 Channel Analysis Results:")
print("\nChannel Analysis Results:")
analyzer.print_analysis(metrics)
# Test optimization
print("\n⚡ Generating fee optimization recommendations...")
print("\nGenerating fee optimization recommendations...")
optimizer = FeeOptimizer(config.optimization, OptimizationStrategy.BALANCED)
recommendations = optimizer.optimize_fees(metrics)
print(f"✅ Generated {len(recommendations)} recommendations")
print(f"Generated {len(recommendations)} recommendations")
optimizer.print_recommendations(recommendations)
# Save recommendations