"""DeepSeek Provider Service for ALwrity Backend. This service handles DeepSeek API integrations, migrated from the legacy lib/gpt_providers/text_generation/deepseek_text_gen.py """ import os import time import requests from typing import Tuple from loguru import logger from tenacity import ( retry, stop_after_attempt, wait_random_exponential, ) @retry(wait=wait_random_exponential(min=1, max=60), stop=stop_after_attempt(6)) def deepseek_text_response(prompt: str, model: str = "deepseek-chat", temperature: float = 0.7, max_tokens: int = 4000, system_prompt: str = None) -> str: """ Generate text using DeepSeek's API. Args: prompt (str): The input text to generate completion for. model (str, optional): Model to be used for the completion. Defaults to "deepseek-chat". temperature (float, optional): Controls randomness. Lower values make responses more deterministic. Defaults to 0.7. max_tokens (int, optional): Maximum number of tokens to generate. Defaults to 4000. system_prompt (str, optional): System prompt for the conversation. Defaults to None. Returns: str: The generated text completion. Raises: SystemExit: If an API error, connection error, or rate limit error occurs. """ # Wait for 5 seconds to comply with rate limits for _ in range(5): time.sleep(1) try: # Get API key from environment api_key = os.getenv('DEEPSEEK_API_KEY') if not api_key: raise ValueError("DeepSeek API key not found in environment variables") # Prepare messages messages = [] if system_prompt: messages.append({"role": "system", "content": system_prompt}) messages.append({"role": "user", "content": prompt}) # Make API request headers = { "Authorization": f"Bearer {api_key}", "Content-Type": "application/json" } data = { "model": model, "messages": messages, "max_tokens": max_tokens, "temperature": temperature, "stream": False } response = requests.post( "https://api.deepseek.com/v1/chat/completions", headers=headers, json=data, timeout=60 ) if response.status_code == 200: result = response.json() content = result["choices"][0]["message"]["content"] logger.info(f"[deepseek_text_response] Generated response with {len(content)} characters") return content else: error_msg = f"DeepSeek API Error: {response.status_code} - {response.text}" logger.error(error_msg) raise SystemExit(error_msg) except requests.exceptions.RequestException as e: logger.error(f"DeepSeek API Connection Error: {e}") raise SystemExit from e except Exception as e: logger.error(f"Unexpected error in DeepSeek API call: {e}") raise SystemExit from e async def test_deepseek_api_key(api_key: str) -> Tuple[bool, str]: """ Test if the provided DeepSeek API key is valid. Args: api_key (str): The DeepSeek API key to test Returns: tuple[bool, str]: A tuple containing (is_valid, message) """ try: # Make a simple API test request headers = { "Authorization": f"Bearer {api_key}", "Content-Type": "application/json" } data = { "model": "deepseek-chat", "messages": [{"role": "user", "content": "Hello"}], "max_tokens": 10, "temperature": 0.1 } response = requests.post( "https://api.deepseek.com/v1/chat/completions", headers=headers, json=data, timeout=30 ) if response.status_code == 200: return True, "DeepSeek API key is valid" elif response.status_code == 401: return False, "Invalid DeepSeek API key" elif response.status_code == 429: return False, "Rate limit exceeded. Please try again later." else: return False, f"Error testing DeepSeek API key: {response.status_code} - {response.text}" except requests.exceptions.RequestException as e: return False, f"Connection error testing DeepSeek API key: {str(e)}" except Exception as e: return False, f"Error testing DeepSeek API key: {str(e)}"