AlisChain Project Optimization Guide¶
Identified Issues and Optimizations¶
1. Code Structure Optimization¶
Current Issues:¶
- Redundant monitoring configurations across multiple files
- Overlapping metrics collection
- Duplicate dashboard definitions
- Scattered configuration files
Optimized Structure:¶
alischain/
├── app/
│ ├── core/
│ │ ├── blockchain/
│ │ │ ├── monitors.py # Unified blockchain monitoring
│ │ │ └── metrics.py # Consolidated blockchain metrics
│ │ ├── monitoring/
│ │ │ ├── metrics.py # Core metrics collection
│ │ │ └── alerts.py # Centralized alert definitions
│ │ └── analytics/
│ │ ├── reports.py # Report generation
│ │ └── dashboards.py # Dashboard templates
│ └── services/
│ ├── websocket_handler.py # WebSocket management
│ └── incentive_manager.py # Incentive system
├── config/
│ ├── monitoring.yml # Unified monitoring config
│ ├── alerts.yml # Alert rules
│ └── dashboards/ # Dashboard JSON files
└── docs/
└── technical/ # Consolidated documentation
2. Monitoring Optimization¶
Consolidated Metrics Collection¶
from prometheus_client import Counter, Gauge, Histogram
from typing import Dict, Optional
class MetricsCollector:
"""Unified metrics collection for all components"""
def __init__(self):
# System Metrics
self.system_metrics = {
'cpu_usage': Gauge('system_cpu_usage', 'CPU usage percentage'),
'memory_usage': Gauge('system_memory_usage', 'Memory usage percentage'),
'disk_usage': Gauge('system_disk_usage', 'Disk usage percentage')
}
# Blockchain Metrics
self.blockchain_metrics = {
'transactions': Counter(
'blockchain_transactions_total',
'Transaction metrics',
['chain', 'type', 'status']
),
'gas_usage': Histogram(
'blockchain_gas_usage',
'Gas usage metrics',
['chain', 'operation'],
buckets=[10000, 50000, 100000, 500000]
)
}
# Business Metrics
self.business_metrics = {
'claims': Counter(
'business_claims_total',
'Claim metrics',
['type', 'status']
),
'verifications': Counter(
'business_verifications_total',
'Verification metrics',
['type', 'outcome']
)
}
def record_metric(self, category: str, name: str, value: float,
labels: Optional[Dict[str, str]] = None):
"""Unified method for recording metrics"""
metrics_group = getattr(self, f'{category}_metrics')
metric = metrics_group.get(name)
if metric is None:
raise ValueError(f"Unknown metric: {name} in category {category}")
if labels:
metric.labels(**labels).inc(value)
else:
metric.inc(value)
3. Alert Configuration Optimization¶
Unified Alert Rules (alerts.yml)¶
groups:
- name: critical_alerts
rules:
- alert: SystemOverload
expr: system_cpu_usage > 80 or system_memory_usage > 85
for: 5m
labels:
severity: critical
annotations:
summary: System resources critical
- alert: BlockchainSync
expr: blockchain_sync_delay > 300
for: 5m
labels:
severity: critical
annotations:
summary: Blockchain sync delayed
- name: business_alerts
rules:
- alert: HighFailureRate
expr: rate(business_verifications_total{outcome="failed"}[5m]) > 0.1
for: 5m
labels:
severity: warning
annotations:
summary: High verification failure rate
4. Dashboard Optimization¶
Unified Dashboard Template¶
{
"dashboard": {
"title": "AlisChain Overview",
"panels": [
{
"title": "System Health",
"type": "row",
"panels": [
{
"title": "Resource Usage",
"type": "graph",
"targets": [
{
"expr": "system_cpu_usage",
"legendFormat": "CPU"
},
{
"expr": "system_memory_usage",
"legendFormat": "Memory"
}
]
}
]
},
{
"title": "Blockchain Metrics",
"type": "row",
"panels": [
{
"title": "Transaction Overview",
"type": "graph",
"targets": [
{
"expr": "rate(blockchain_transactions_total[5m])",
"legendFormat": "{{chain}} - {{type}}"
}
]
}
]
}
]
}
}
5. Configuration Management Optimization¶
Unified Configuration (config.yml)¶
monitoring:
metrics:
collection_interval: 15s
retention_period: 15d
alerting:
evaluation_interval: 1m
notification_channels:
- type: slack
webhook: ${SLACK_WEBHOOK_URL}
- type: email
recipients: ["team@alischain.com"]
blockchain:
networks:
- name: ethereum
rpc_url: ${ETH_RPC_URL}
chain_id: 1
- name: polygon
rpc_url: ${POLYGON_RPC_URL}
chain_id: 137
services:
websocket:
host: 0.0.0.0
port: 5000
ping_interval: 30
Performance Improvements¶
-
Caching Strategy
from functools import lru_cache from typing import Any, Optional import redis class CacheManager: def __init__(self, redis_url: str): self.redis = redis.from_url(redis_url) @lru_cache(maxsize=1000) def get_cached_data(self, key: str) -> Optional[Any]: """Get data from cache with memory and Redis fallback""" return self.redis.get(key) def set_cached_data(self, key: str, value: Any, expire: int = 3600) -> None: """Set data in cache with expiration""" self.redis.setex(key, expire, value) -
Asynchronous Processing
import asyncio from typing import List, Callable class AsyncTaskManager: def __init__(self): self.tasks: List[asyncio.Task] = [] async def add_task(self, coro: Callable, *args, **kwargs) -> None: """Add a new task to the manager""" task = asyncio.create_task(coro(*args, **kwargs)) self.tasks.append(task) async def wait_all(self) -> None: """Wait for all tasks to complete""" if self.tasks: await asyncio.gather(*self.tasks) self.tasks.clear()
Migration Steps¶
- Code Reorganization
- Move files to new structure
- Update import statements
-
Consolidate duplicate code
-
Configuration Updates
- Merge configuration files
- Update environment variables
-
Validate all settings
-
Monitoring Migration
- Deploy new metrics collector
- Update alert rules
-
Verify dashboard functionality
-
Testing
- Unit tests for new structure
- Integration tests
- Performance benchmarks
Recommendations¶
- Immediate Actions
- Implement unified metrics collection
- Consolidate configuration files
-
Update deployment scripts
-
Short-term Improvements
- Add caching layer
- Implement async task manager
-
Update documentation
-
Long-term Goals
- Implement automated testing
- Set up CI/CD pipeline
- Regular performance audits
Last update:
2024-12-08