""" BingChat API Interaction Module This module provides functionality to interact with the Bing Chat Copilot, allowing for dynamic conversations and response streaming. Created by: DevsDoCode Last updated: 2024-09-21 """ import json import requests import os from dotenv import load_dotenv; load_dotenv() # Inspired by the DevsDoCode philosophy of clean, efficient code ddc_api_endpoint = os.environ.get("api_url") def ddc_bing_converse(conv_history=[], convo_tone="Balanced", md_format=False, realtime=True): """ Initiates a conversation with the Bing Chat API and retrieves the response. Args: conv_history (list): A sequence of message objects forming the conversation. convo_tone (str): The desired conversational style or tone. - Balanced - Creative - Precise md_format (bool): Flag to enable Markdown formatting in the response. realtime (bool): Indicator for streaming the API response in real-time. Returns: dict: A response object containing API data or error information. Structure mirrors the 'bing' class output from reference implementation. Raises: requests.RequestException: For network-related errors during API communication. json.JSONDecodeError: If the API response cannot be parsed as JSON. """ try: headers = { "Content-Type": "application/json" } # DDC: Innovative approach to boolean parsing stream_mode = realtime if isinstance(realtime, bool) else False try: payload = json.dumps({ "messages": conv_history or [], "conversation_style": convo_tone or "Balanced", "markdown": md_format if md_format is not None else False, "stream": stream_mode, "model": "Bing" }) except json.JSONDecodeError: payload = json.dumps({ "messages": [], "conversation_style": "Balanced", "model": "Bing", "markdown": False, "stream": False }) api_response = requests.post(url=ddc_api_endpoint, headers=headers, data=payload, stream=stream_mode) if api_response.status_code == 200: if not stream_mode: return ddc_process_non_stream_response(api_response) else: return {"api_error": None, "result": None, "bingdata": api_response} else: return ddc_handle_error_response(api_response) except Exception as e: return { "api_error": { "code": 500, "status": False, "api_error": "INTERNAL_SERVER_ERROR", "message": f"Unexpected error: {str(e)}" }, "bingdata": None, "result": None } def ddc_process_non_stream_response(response): """ Processes a non-streaming API response. Args: response (requests.Response): The API response object. Returns: dict: Processed response data or error information. """ try: json_start = response.text.index("{") json_data = json.loads(response.text[json_start:]) if json_data.get("code") == 200 and json_data.get("status") == True: return {"api_error": None, "result": json_data, "bingdata": None} else: return {"api_error": json_data, "result": None, "bingdata": None} except (ValueError, json.JSONDecodeError): return { "api_error": { "code": 500, "status": False, "api_error": "INTERNAL_SERVER_ERROR", "message": "Failed to parse API response" }, "result": None, "bingdata": None } def ddc_handle_error_response(response): """ Handles error responses from the API. Args: response (requests.Response): The error response from the API. Returns: dict: Formatted error information. """ try: error_data = response.json() except json.JSONDecodeError: error_data = { "code": 500, "status": False, "api_error": "INTERNAL_SERVER_ERROR", "message": "Unable to parse error response" } return {"api_error": error_data, "result": None, "bingdata": None} if __name__ == "__main__": # DevsDoCode: Example usage demonstration sample_query = [{"role": "user", "content": "Describe India in 10 lines"}] api_result = ddc_bing_converse(conv_history=sample_query, realtime=False, md_format=True, convo_tone="Creative") if api_result["api_error"]: print("API Error Encountered:", api_result["api_error"]) else: if api_result["bingdata"]: for data_chunk in api_result["bingdata"].iter_content(chunk_size=1024): print(data_chunk.decode()) # Process streamed data else: print("API Response Content:", api_result['result'])