ai-lawyer-agent/api/fetch_api_data.py
2025-12-19 02:44:43 +01:00

49 lines
1.9 KiB
Python

import httpx
import logging
from pydantic import BaseModel
logging.basicConfig(
level=logging.INFO,
format='%(asctime)s - %(name)s - %(levelname)s - %(message)s'
)
logger = logging.getLogger(__name__)
def docstring_from_model(model: type[BaseModel]):
def decorator(func):
if func.__doc__:
func.__doc__ = func.__doc__.format(
params="\n".join(
f"\t\t- {name}: {field.description or 'No description'}"
for name, field in model.model_fields.items()
)
)
return func
return decorator
async def fetch_api_data(icon: str, url: str, params: dict, remove_keys: list = None) -> dict:
try:
logger.info(f"\n🔨{icon}Input parameters: {params}\n")
async with httpx.AsyncClient() as client:
response = await client.get(url, params=params, timeout=10.0)
response.raise_for_status()
logger.debug(f"\n🖇️{icon}Request URL: {response.url}\n")
data = response.json()
if remove_keys and isinstance(data, dict):
for key in remove_keys:
data.pop(key, None)
logger.info(f"\n🚮{icon}Successfully removed key: {key}\n")
logger.info(f"\n{icon}Successfully fetched data from {url}\n")
return data
except httpx.HTTPStatusError as e:
logger.error(f"\n{icon}HTTP error: {e.response.status_code} - {e.response.text}\n")
return {"error": "http_error", "status_code": e.response.status_code, "detail": e.response.text}
except httpx.RequestError as e:
logger.error(f"\n{icon}Request error: {str(e)}\n")
return {"error": "request_error", "status_code": str(e)}
except Exception as e:
logger.critical(f"\n{icon}Unexpected error: {str(e)}\n", exc_info=True)
return {"error": "unexpected_error", "status_code": str(e)}