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from typing import Dict, Any, AsyncGenerator, Optional
import httpx
import random
from abc import ABC, abstractmethod
from app.config.config import settings
from app.log.logger import get_api_client_logger
from app.core.constants import DEFAULT_TIMEOUT
logger = get_api_client_logger()
class ApiClient(ABC):
"""API客户端基类"""
@abstractmethod
async def generate_content(self, payload: Dict[str, Any], model: str, api_key: str) -> Dict[str, Any]:
pass
@abstractmethod
async def stream_generate_content(self, payload: Dict[str, Any], model: str, api_key: str) -> AsyncGenerator[str, None]:
pass
class GeminiApiClient(ApiClient):
"""Gemini API客户端"""
def __init__(self, base_url: str, timeout: int = DEFAULT_TIMEOUT):
self.base_url = base_url
self.timeout = timeout
def _get_real_model(self, model: str) -> str:
if model.endswith("-search"):
model = model[:-7]
if model.endswith("-image"):
model = model[:-6]
if model.endswith("-non-thinking"):
model = model[:-13]
if "-search" in model and "-non-thinking" in model:
model = model[:-20]
return model
def _prepare_headers(self) -> Dict[str, str]:
headers = {}
if settings.CUSTOM_HEADERS:
headers.update(settings.CUSTOM_HEADERS)
logger.info(f"Using custom headers: {settings.CUSTOM_HEADERS}")
return headers
async def get_models(self, api_key: str) -> Optional[Dict[str, Any]]:
"""获取可用的 Gemini 模型列表"""
timeout = httpx.Timeout(timeout=5)
proxy_to_use = None
if settings.PROXIES:
if settings.PROXIES_USE_CONSISTENCY_HASH_BY_API_KEY:
proxy_to_use = settings.PROXIES[hash(api_key) % len(settings.PROXIES)]
else:
proxy_to_use = random.choice(settings.PROXIES)
logger.info(f"Using proxy for getting models: {proxy_to_use}")
headers = self._prepare_headers()
async with httpx.AsyncClient(timeout=timeout, proxy=proxy_to_use) as client:
url = f"{self.base_url}/models?key={api_key}&pageSize=1000"
try:
response = await client.get(url, headers=headers)
response.raise_for_status()
return response.json()
except httpx.HTTPStatusError as e:
logger.error(f"获取模型列表失败: {e.response.status_code}")
logger.error(e.response.text)
return None
except httpx.RequestError as e:
logger.error(f"请求模型列表失败: {e}")
return None
async def generate_content(self, payload: Dict[str, Any], model: str, api_key: str) -> Dict[str, Any]:
timeout = httpx.Timeout(self.timeout, read=self.timeout)
model = self._get_real_model(model)
proxy_to_use = None
if settings.PROXIES:
if settings.PROXIES_USE_CONSISTENCY_HASH_BY_API_KEY:
proxy_to_use = settings.PROXIES[hash(api_key) % len(settings.PROXIES)]
else:
proxy_to_use = random.choice(settings.PROXIES)
logger.info(f"Using proxy for getting models: {proxy_to_use}")
headers = self._prepare_headers()
async with httpx.AsyncClient(timeout=timeout, proxy=proxy_to_use) as client:
url = f"{self.base_url}/models/{model}:generateContent?key={api_key}"
try:
response = await client.post(url, json=payload, headers=headers)
if response.status_code != 200:
error_content = response.text
logger.error(f"API call failed - Status: {response.status_code}, Content: {error_content}")
raise Exception(f"API call failed with status code {response.status_code}, {error_content}")
response_data = response.json()
# 检查响应结构的基本信息
if not response_data.get("candidates"):
logger.warning("No candidates found in API response")
return response_data
except httpx.TimeoutException as e:
logger.error(f"Request timeout: {e}")
raise Exception(f"Request timeout: {e}")
except httpx.RequestError as e:
logger.error(f"Request error: {e}")
raise Exception(f"Request error: {e}")
except Exception as e:
logger.error(f"Unexpected error: {e}")
raise
async def stream_generate_content(self, payload: Dict[str, Any], model: str, api_key: str) -> AsyncGenerator[str, None]:
timeout = httpx.Timeout(self.timeout, read=self.timeout)
model = self._get_real_model(model)
proxy_to_use = None
if settings.PROXIES:
if settings.PROXIES_USE_CONSISTENCY_HASH_BY_API_KEY:
proxy_to_use = settings.PROXIES[hash(api_key) % len(settings.PROXIES)]
else:
proxy_to_use = random.choice(settings.PROXIES)
logger.info(f"Using proxy for getting models: {proxy_to_use}")
headers = self._prepare_headers()
async with httpx.AsyncClient(timeout=timeout, proxy=proxy_to_use) as client:
url = f"{self.base_url}/models/{model}:streamGenerateContent?alt=sse&key={api_key}"
async with client.stream(method="POST", url=url, json=payload, headers=headers) as response:
if response.status_code != 200:
error_content = await response.aread()
error_msg = error_content.decode("utf-8")
raise Exception(f"API call failed with status code {response.status_code}, {error_msg}")
async for line in response.aiter_lines():
yield line
async def count_tokens(self, payload: Dict[str, Any], model: str, api_key: str) -> Dict[str, Any]:
timeout = httpx.Timeout(self.timeout, read=self.timeout)
model = self._get_real_model(model)
proxy_to_use = None
if settings.PROXIES:
if settings.PROXIES_USE_CONSISTENCY_HASH_BY_API_KEY:
proxy_to_use = settings.PROXIES[hash(api_key) % len(settings.PROXIES)]
else:
proxy_to_use = random.choice(settings.PROXIES)
logger.info(f"Using proxy for counting tokens: {proxy_to_use}")
headers = self._prepare_headers()
async with httpx.AsyncClient(timeout=timeout, proxy=proxy_to_use) as client:
url = f"{self.base_url}/models/{model}:countTokens?key={api_key}"
response = await client.post(url, json=payload, headers=headers)
if response.status_code != 200:
error_content = response.text
raise Exception(f"API call failed with status code {response.status_code}, {error_content}")
return response.json()
async def embed_content(self, payload: Dict[str, Any], model: str, api_key: str) -> Dict[str, Any]:
"""单一嵌入内容生成"""
timeout = httpx.Timeout(self.timeout, read=self.timeout)
model = self._get_real_model(model)
proxy_to_use = None
if settings.PROXIES:
if settings.PROXIES_USE_CONSISTENCY_HASH_BY_API_KEY:
proxy_to_use = settings.PROXIES[hash(api_key) % len(settings.PROXIES)]
else:
proxy_to_use = random.choice(settings.PROXIES)
logger.info(f"Using proxy for embedding: {proxy_to_use}")
headers = self._prepare_headers()
async with httpx.AsyncClient(timeout=timeout, proxy=proxy_to_use) as client:
url = f"{self.base_url}/models/{model}:embedContent?key={api_key}"
try:
response = await client.post(url, json=payload, headers=headers)
if response.status_code != 200:
error_content = response.text
logger.error(f"Embedding API call failed - Status: {response.status_code}, Content: {error_content}")
raise Exception(f"API call failed with status code {response.status_code}, {error_content}")
return response.json()
except httpx.TimeoutException as e:
logger.error(f"Embedding request timeout: {e}")
raise Exception(f"Request timeout: {e}")
except httpx.RequestError as e:
logger.error(f"Embedding request error: {e}")
raise Exception(f"Request error: {e}")
except Exception as e:
logger.error(f"Unexpected embedding error: {e}")
raise
async def batch_embed_contents(self, payload: Dict[str, Any], model: str, api_key: str) -> Dict[str, Any]:
"""批量嵌入内容生成"""
timeout = httpx.Timeout(self.timeout, read=self.timeout)
model = self._get_real_model(model)
proxy_to_use = None
if settings.PROXIES:
if settings.PROXIES_USE_CONSISTENCY_HASH_BY_API_KEY:
proxy_to_use = settings.PROXIES[hash(api_key) % len(settings.PROXIES)]
else:
proxy_to_use = random.choice(settings.PROXIES)
logger.info(f"Using proxy for batch embedding: {proxy_to_use}")
headers = self._prepare_headers()
async with httpx.AsyncClient(timeout=timeout, proxy=proxy_to_use) as client:
url = f"{self.base_url}/models/{model}:batchEmbedContents?key={api_key}"
try:
response = await client.post(url, json=payload, headers=headers)
if response.status_code != 200:
error_content = response.text
logger.error(f"Batch embedding API call failed - Status: {response.status_code}, Content: {error_content}")
raise Exception(f"API call failed with status code {response.status_code}, {error_content}")
return response.json()
except httpx.TimeoutException as e:
logger.error(f"Batch embedding request timeout: {e}")
raise Exception(f"Request timeout: {e}")
except httpx.RequestError as e:
logger.error(f"Batch embedding request error: {e}")
raise Exception(f"Request error: {e}")
except Exception as e:
logger.error(f"Unexpected batch embedding error: {e}")
raise
class OpenaiApiClient(ApiClient):
"""OpenAI API客户端"""
def __init__(self, base_url: str, timeout: int = DEFAULT_TIMEOUT):
self.base_url = base_url
self.timeout = timeout
def _prepare_headers(self, api_key: str) -> Dict[str, str]:
headers = {"Authorization": f"Bearer {api_key}"}
if settings.CUSTOM_HEADERS:
headers.update(settings.CUSTOM_HEADERS)
logger.info(f"Using custom headers: {settings.CUSTOM_HEADERS}")
return headers
async def get_models(self, api_key: str) -> Dict[str, Any]:
timeout = httpx.Timeout(self.timeout, read=self.timeout)
proxy_to_use = None
if settings.PROXIES:
if settings.PROXIES_USE_CONSISTENCY_HASH_BY_API_KEY:
proxy_to_use = settings.PROXIES[hash(api_key) % len(settings.PROXIES)]
else:
proxy_to_use = random.choice(settings.PROXIES)
logger.info(f"Using proxy for getting models: {proxy_to_use}")
headers = self._prepare_headers(api_key)
async with httpx.AsyncClient(timeout=timeout, proxy=proxy_to_use) as client:
url = f"{self.base_url}/openai/models"
response = await client.get(url, headers=headers)
if response.status_code != 200:
error_content = response.text
raise Exception(f"API call failed with status code {response.status_code}, {error_content}")
return response.json()
async def generate_content(self, payload: Dict[str, Any], api_key: str) -> Dict[str, Any]:
timeout = httpx.Timeout(self.timeout, read=self.timeout)
logger.info(f"settings.PROXIES_USE_CONSISTENCY_HASH_BY_API_KEY: {settings.PROXIES_USE_CONSISTENCY_HASH_BY_API_KEY}")
proxy_to_use = None
if settings.PROXIES:
if settings.PROXIES_USE_CONSISTENCY_HASH_BY_API_KEY:
proxy_to_use = settings.PROXIES[hash(api_key) % len(settings.PROXIES)]
else:
proxy_to_use = random.choice(settings.PROXIES)
logger.info(f"Using proxy for getting models: {proxy_to_use}")
headers = self._prepare_headers(api_key)
async with httpx.AsyncClient(timeout=timeout, proxy=proxy_to_use) as client:
url = f"{self.base_url}/openai/chat/completions"
response = await client.post(url, json=payload, headers=headers)
if response.status_code != 200:
error_content = response.text
raise Exception(f"API call failed with status code {response.status_code}, {error_content}")
return response.json()
async def stream_generate_content(self, payload: Dict[str, Any], api_key: str) -> AsyncGenerator[str, None]:
timeout = httpx.Timeout(self.timeout, read=self.timeout)
proxy_to_use = None
if settings.PROXIES:
if settings.PROXIES_USE_CONSISTENCY_HASH_BY_API_KEY:
proxy_to_use = settings.PROXIES[hash(api_key) % len(settings.PROXIES)]
else:
proxy_to_use = random.choice(settings.PROXIES)
logger.info(f"Using proxy for getting models: {proxy_to_use}")
headers = self._prepare_headers(api_key)
async with httpx.AsyncClient(timeout=timeout, proxy=proxy_to_use) as client:
url = f"{self.base_url}/openai/chat/completions"
async with client.stream(method="POST", url=url, json=payload, headers=headers) as response:
if response.status_code != 200:
error_content = await response.aread()
error_msg = error_content.decode("utf-8")
raise Exception(f"API call failed with status code {response.status_code}, {error_msg}")
async for line in response.aiter_lines():
yield line
async def create_embeddings(self, input: str, model: str, api_key: str) -> Dict[str, Any]:
timeout = httpx.Timeout(self.timeout, read=self.timeout)
proxy_to_use = None
if settings.PROXIES:
if settings.PROXIES_USE_CONSISTENCY_HASH_BY_API_KEY:
proxy_to_use = settings.PROXIES[hash(api_key) % len(settings.PROXIES)]
else:
proxy_to_use = random.choice(settings.PROXIES)
logger.info(f"Using proxy for getting models: {proxy_to_use}")
headers = self._prepare_headers(api_key)
async with httpx.AsyncClient(timeout=timeout, proxy=proxy_to_use) as client:
url = f"{self.base_url}/openai/embeddings"
payload = {
"input": input,
"model": model,
}
response = await client.post(url, json=payload, headers=headers)
if response.status_code != 200:
error_content = response.text
raise Exception(f"API call failed with status code {response.status_code}, {error_content}")
return response.json()
async def generate_images(self, payload: Dict[str, Any], api_key: str) -> Dict[str, Any]:
timeout = httpx.Timeout(self.timeout, read=self.timeout)
proxy_to_use = None
if settings.PROXIES:
if settings.PROXIES_USE_CONSISTENCY_HASH_BY_API_KEY:
proxy_to_use = settings.PROXIES[hash(api_key) % len(settings.PROXIES)]
else:
proxy_to_use = random.choice(settings.PROXIES)
logger.info(f"Using proxy for getting models: {proxy_to_use}")
headers = self._prepare_headers(api_key)
async with httpx.AsyncClient(timeout=timeout, proxy=proxy_to_use) as client:
url = f"{self.base_url}/openai/images/generations"
response = await client.post(url, json=payload, headers=headers)
if response.status_code != 200:
error_content = response.text
raise Exception(f"API call failed with status code {response.status_code}, {error_content}")
return response.json() |