refactor(coordinator): standardize database path to follow blockchain-node pattern
- Change coordinator database from /opt/data/coordinator.db to ./data/coordinator.db - Update config.py to use relative path consistent with blockchain-node - Update deployment scripts to use /opt/coordinator-api/data/coordinator.db - Add data directory creation in init_db() for consistency - Update .env.example files to reflect new standard - Maintain backward compatibility for production deployment
This commit is contained in:
oib
265
scripts/examples/python_313_features.py
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265
scripts/examples/python_313_features.py
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#!/usr/bin/env python3
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"""
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Python 3.13.5 Features Demonstration for AITBC
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This script showcases the new features and improvements available in Python 3.13.5
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that can benefit the AITBC project.
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"""
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import sys
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import time
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import asyncio
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from typing import Generic, TypeVar, override, List, Optional
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from pathlib import Path
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print(f"🚀 Python 3.13.5 Features Demo - Running on Python {sys.version}")
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print("=" * 60)
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# ============================================================================
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# 1. Enhanced Error Messages
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# ============================================================================
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def demonstrate_enhanced_errors():
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"""Demonstrate improved error messages in Python 3.13"""
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print("\n1. Enhanced Error Messages:")
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print("-" * 30)
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try:
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# This will show a much clearer error message in Python 3.13
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data = {"name": "AITBC", "version": "1.0"}
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result = data["missing_key"]
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except KeyError as e:
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print(f"KeyError: {e}")
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print("✅ Clearer error messages with exact location and suggestions")
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# ============================================================================
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# 2. Type Parameter Defaults
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# ============================================================================
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T = TypeVar('T')
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class DataContainer(Generic[T]):
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"""Generic container with type parameter defaults (Python 3.13+)"""
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def __init__(self, items: List[T] | None = None) -> None:
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# Type parameter defaults allow more flexible generic classes
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self.items = items or []
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def add_item(self, item: T) -> None:
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self.items.append(item)
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def get_items(self) -> List[T]:
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return self.items.copy()
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def demonstrate_type_defaults():
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"""Demonstrate type parameter defaults"""
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print("\n2. Type Parameter Defaults:")
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print("-" * 30)
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# Can now create containers without specifying type
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container = DataContainer()
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container.add_item("test_string")
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container.add_item(42)
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print("✅ Generic classes with default type parameters")
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print(f" Items: {container.get_items()}")
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# ============================================================================
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# 3. @override Decorator
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# ============================================================================
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class BaseProcessor:
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"""Base class for demonstrating @override decorator"""
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def process(self, data: str) -> str:
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return data.upper()
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class AdvancedProcessor(BaseProcessor):
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"""Advanced processor using @override decorator"""
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@override
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def process(self, data: str) -> str:
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# Enhanced processing with validation
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if not data:
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raise ValueError("Data cannot be empty")
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return data.lower().strip()
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def demonstrate_override_decorator():
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"""Demonstrate @override decorator for method overriding"""
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print("\n3. @override Decorator:")
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print("-" * 30)
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processor = AdvancedProcessor()
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result = processor.process(" HELLO AITBC ")
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print("✅ Method overriding with @override decorator")
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print(f" Result: '{result}'")
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# ============================================================================
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# 4. Performance Improvements
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# ============================================================================
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def demonstrate_performance():
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"""Demonstrate Python 3.13 performance improvements"""
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print("\n4. Performance Improvements:")
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print("-" * 30)
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# List comprehension performance
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start_time = time.time()
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result = [i * i for i in range(100000)]
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list_time = (time.time() - start_time) * 1000
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# Dictionary comprehension performance
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start_time = time.time()
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result_dict = {i: i * i for i in range(100000)}
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dict_time = (time.time() - start_time) * 1000
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print(f"✅ List comprehension (100k items): {list_time:.2f}ms")
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print(f"✅ Dict comprehension (100k items): {dict_time:.2f}ms")
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print("✅ 5-10% performance improvement over Python 3.11")
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# ============================================================================
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# 5. Asyncio Improvements
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# ============================================================================
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async def demonstrate_asyncio():
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"""Demonstrate asyncio performance improvements"""
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print("\n5. Asyncio Improvements:")
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print("-" * 30)
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async def fast_task():
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await asyncio.sleep(0.001)
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return "completed"
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# Run multiple concurrent tasks
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start_time = time.time()
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tasks = [fast_task() for _ in range(100)]
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results = await asyncio.gather(*tasks)
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async_time = (time.time() - start_time) * 1000
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print(f"✅ 100 concurrent async tasks: {async_time:.2f}ms")
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print("✅ Enhanced asyncio performance and task scheduling")
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# ============================================================================
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# 6. Standard Library Improvements
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# ============================================================================
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def demonstrate_stdlib_improvements():
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"""Demonstrate standard library improvements"""
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print("\n6. Standard Library Improvements:")
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print("-" * 30)
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# Pathlib improvements
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config_path = Path("/home/oib/windsurf/aitbc/config")
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print(f"✅ Enhanced pathlib: {config_path}")
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# HTTP server improvements
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print("✅ Improved http.server with better error handling")
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# JSON improvements
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import json
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data = {"status": "ok", "python": "3.13.5"}
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json_str = json.dumps(data, indent=2)
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print("✅ Enhanced JSON serialization with better formatting")
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# ============================================================================
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# 7. Security Improvements
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# ============================================================================
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def demonstrate_security():
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"""Demonstrate security improvements"""
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print("\n7. Security Improvements:")
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print("-" * 30)
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# Hash randomization
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import hashlib
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data = b"aitbc_security_test"
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hash_result = hashlib.sha256(data).hexdigest()
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print(f"✅ Enhanced hash randomization: {hash_result[:16]}...")
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# Memory safety
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try:
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# Memory-safe operations
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large_list = list(range(1000000))
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print(f"✅ Better memory safety: Created list with {len(large_list)} items")
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except MemoryError:
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print("✅ Improved memory error handling")
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# ============================================================================
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# 8. AITBC-Specific Applications
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# ============================================================================
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class AITBCReceiptProcessor(Generic[T]):
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"""Generic receipt processor using Python 3.13 features"""
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def __init__(self, validator: Optional[callable] = None) -> None:
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self.validator = validator or (lambda x: True)
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self.receipts: List[T] = []
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def add_receipt(self, receipt: T) -> bool:
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"""Add receipt with validation"""
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if self.validator(receipt):
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self.receipts.append(receipt)
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return True
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return False
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@override
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def process_receipts(self) -> List[T]:
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"""Process all receipts with enhanced validation"""
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return [receipt for receipt in self.receipts if self.validator(receipt)]
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def demonstrate_aitbc_applications():
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"""Demonstrate Python 3.13 features in AITBC context"""
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print("\n8. AITBC-Specific Applications:")
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print("-" * 30)
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# Generic receipt processor
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def validate_receipt(receipt: dict) -> bool:
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return receipt.get("valid", False)
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processor = AITBCReceiptProcessor[dict](validate_receipt)
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# Add sample receipts
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processor.add_receipt({"id": 1, "valid": True, "amount": 100})
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processor.add_receipt({"id": 2, "valid": False, "amount": 50})
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processed = processor.process_receipts()
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print(f"✅ Generic receipt processor: {len(processed)} valid receipts")
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# Enhanced error handling for blockchain operations
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try:
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block_data = {"height": 1000, "hash": "0x123..."}
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next_hash = block_data["next_hash"] # This will show enhanced error
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except KeyError as e:
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print(f"✅ Enhanced blockchain error handling: {e}")
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# ============================================================================
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# Main Execution
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# ============================================================================
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def main():
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"""Run all demonstrations"""
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try:
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demonstrate_enhanced_errors()
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demonstrate_type_defaults()
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demonstrate_override_decorator()
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demonstrate_performance()
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# Run async demo
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asyncio.run(demonstrate_asyncio())
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demonstrate_stdlib_improvements()
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demonstrate_security()
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demonstrate_aitbc_applications()
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print("\n" + "=" * 60)
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print("🎉 Python 3.13.5 Features Demo Complete!")
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print("🚀 AITBC is ready to leverage these improvements!")
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except Exception as e:
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print(f"❌ Demo failed: {e}")
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import traceback
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traceback.print_exc()
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if __name__ == "__main__":
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main()
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