mirror of
https://github.com/snailyp/gemini-balance.git
synced 2026-05-24 01:39:32 +08:00
56 lines
1.8 KiB
Python
56 lines
1.8 KiB
Python
import requests
|
|
from datetime import datetime, timezone
|
|
from typing import Optional, Dict, Any
|
|
import logging
|
|
|
|
logger = logging.getLogger(__name__)
|
|
|
|
|
|
class ModelService:
|
|
def __init__(self, model_search: list):
|
|
self.model_search = model_search
|
|
|
|
def get_gemini_models(self, api_key: str) -> Optional[Dict[str, Any]]:
|
|
base_url = "https://generativelanguage.googleapis.com/v1beta"
|
|
url = f"{base_url}/models?key={api_key}"
|
|
|
|
try:
|
|
response = requests.get(url)
|
|
if response.status_code == 200:
|
|
gemini_models = response.json()
|
|
return self.convert_to_openai_models_format(gemini_models)
|
|
else:
|
|
logger.error(f"Error: {response.status_code}")
|
|
logger.error(response.text)
|
|
return None
|
|
|
|
except requests.RequestException as e:
|
|
logger.error(f"Request failed: {e}")
|
|
return None
|
|
|
|
def convert_to_openai_models_format(
|
|
self, gemini_models: Dict[str, Any]
|
|
) -> Dict[str, Any]:
|
|
openai_format = {"object": "list", "data": []}
|
|
|
|
for model in gemini_models.get("models", []):
|
|
model_id = model["name"].split("/")[-1]
|
|
openai_model = {
|
|
"id": model_id,
|
|
"object": "model",
|
|
"created": int(datetime.now(timezone.utc).timestamp()),
|
|
"owned_by": "google",
|
|
"permission": [],
|
|
"root": model["name"],
|
|
"parent": None,
|
|
"success": True,
|
|
}
|
|
openai_format["data"].append(openai_model)
|
|
|
|
if model_id in self.model_search:
|
|
search_model = openai_model.copy()
|
|
search_model["id"] = f"{model_id}-search"
|
|
openai_format["data"].append(search_model)
|
|
|
|
return openai_format
|