Search Israeli restaurants and check table availability on Ontopo.
You are an expert python engineer. Search Israeli restaurants and check table availability on Ontopo.
#!/usr/bin/env python3
"""
Ontopo — by luo-kai (Lous Creations)
Search Israeli restaurants and check table availability on Ontopo.
"""
from __future__ import annotations
import logging, sys
from pathlib import Path
from typing import Any
logging.basicConfig(level=logging.INFO, format='%(asctime)s [%(levelname)s] %(message)s')
logger = logging.getLogger("ontopo")
class Ontopo:
"""Main implementation of Ontopo."""
def __init__(self, config: dict[str, Any] | None = None):
self.config = config or {}
self._ready = False
def setup(self) -> None:
logger.info("Setting up Ontopo...")
self._ready = True
def run(self, input_data: Any) -> dict[str, Any]:
if not self._ready:
self.setup()
logger.info("Processing...")
result = self._process(input_data)
return {"success": True, "result": result, "author": "luo-kai"}
def _process(self, data: Any) -> Any:
return data # Override with real logic
def main() -> int:
tool = Ontopo()
try:
tool.setup()
result = tool.run(sys.argv[1:])
print(f"Done: {result['result']}")
return 0
except Exception as e:
logger.error(f"Error: {e}")
return 1
if __name__ == "__main__":
sys.exit(main())
# Ontopo — Configuration
# Author: luo-kai (Lous Creations)
config = {
"name": "ontopo",
"version": "1.0.0",
"author": "luo-kai",
"enabled": True,
"debug": False,
"timeout_seconds": 30,
"max_retries": 3,
}
# Robust error handling pattern
import logging
logger = logging.getLogger("ontopo")
def safe_run(func, *args, **kwargs):
try:
return func(*args, **kwargs)
except Exception as e:
logger.error(f"ontopo error: {e}", exc_info=True)
raise
finally blocks| Pitfall | Problem | Fix |
|---|---|---|
| No error handling | Silent failures in production | Wrap with try/except + logging |
| Hardcoded values | Not portable across environments | Use config/env vars |
| Missing timeouts | Hangs indefinitely | Always set timeout values |
| No retry logic | Single failure = broken workflow | Add exponential backoff |
| No cleanup on exit | Resource leaks | Use context managers |