File size: 5,827 Bytes
57bc6ef | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 | """Gemini API クライアント"""
import asyncio
import time
from typing import Optional
from dataclasses import dataclass
import numpy as np
from PIL import Image
from config.settings import settings
from utils.image_utils import frame_to_pil
@dataclass
class GeminiResponse:
"""Gemini APIレスポンス"""
text: str
success: bool
error: Optional[str] = None
class GeminiClient:
"""
Gemini API クライアント
- 10 RPM 制限を遵守
- 指数バックオフでリトライ
"""
def __init__(self, api_key: Optional[str] = None):
self.api_key = api_key or settings.gemini_api_key
self._client = None
self._model = None
self._last_request_time: float = 0
self._min_interval: float = 6.0 # 10 RPM = 6秒間隔
self._initialized = False
def _init_client(self) -> bool:
"""クライアントの遅延初期化"""
if self._initialized:
return self._client is not None
if not self.api_key:
print("Warning: GEMINI_API_KEY is not set")
self._initialized = True
return False
try:
import google.generativeai as genai
genai.configure(api_key=self.api_key)
self._client = genai
self._model = genai.GenerativeModel(settings.gemini_model)
self._initialized = True
return True
except ImportError:
print("Warning: google-generativeai not installed")
self._initialized = True
return False
except Exception as e:
print(f"Gemini initialization error: {e}")
self._initialized = True
return False
def _wait_for_rate_limit(self) -> None:
"""レート制限のための待機"""
elapsed = time.time() - self._last_request_time
if elapsed < self._min_interval:
time.sleep(self._min_interval - elapsed)
async def _async_wait_for_rate_limit(self) -> None:
"""非同期レート制限待機"""
elapsed = time.time() - self._last_request_time
if elapsed < self._min_interval:
await asyncio.sleep(self._min_interval - elapsed)
def analyze_image(
self, image: Image.Image, prompt: str, max_retries: int = 3
) -> GeminiResponse:
"""
画像を分析
Args:
image: PIL Image
prompt: 分析プロンプト
max_retries: 最大リトライ回数
Returns:
GeminiResponse
"""
if not self._init_client():
return GeminiResponse(
text="",
success=False,
error="Gemini client not initialized",
)
for attempt in range(max_retries):
try:
self._wait_for_rate_limit()
self._last_request_time = time.time()
response = self._model.generate_content([prompt, image])
return GeminiResponse(text=response.text, success=True)
except Exception as e:
error_msg = str(e)
if "429" in error_msg or "quota" in error_msg.lower():
# レート制限エラー: 指数バックオフ
wait_time = (2**attempt) * 10
print(f"Rate limited, waiting {wait_time}s...")
time.sleep(wait_time)
elif attempt < max_retries - 1:
time.sleep(2**attempt)
else:
return GeminiResponse(
text="",
success=False,
error=error_msg,
)
return GeminiResponse(
text="",
success=False,
error="Max retries exceeded",
)
def analyze_frame(
self, frame: np.ndarray, prompt: str
) -> GeminiResponse:
"""
NumPyフレームを分析
Args:
frame: NumPy配列（BGR形式）
prompt: 分析プロンプト
Returns:
GeminiResponse
"""
image = frame_to_pil(frame)
return self.analyze_image(image, prompt)
async def analyze_image_async(
self, image: Image.Image, prompt: str, max_retries: int = 3
) -> GeminiResponse:
"""非同期で画像を分析"""
if not self._init_client():
return GeminiResponse(
text="",
success=False,
error="Gemini client not initialized",
)
for attempt in range(max_retries):
try:
await self._async_wait_for_rate_limit()
self._last_request_time = time.time()
response = await asyncio.to_thread(
self._model.generate_content, [prompt, image]
)
return GeminiResponse(text=response.text, success=True)
except Exception as e:
error_msg = str(e)
if "429" in error_msg or "quota" in error_msg.lower():
wait_time = (2**attempt) * 10
await asyncio.sleep(wait_time)
elif attempt < max_retries - 1:
await asyncio.sleep(2**attempt)
else:
return GeminiResponse(
text="",
success=False,
error=error_msg,
)
return GeminiResponse(
text="",
success=False,
error="Max retries exceeded",
)
@property
def is_available(self) -> bool:
"""クライアントが利用可能かどうか"""
return self._init_client()
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