# main.py (Full Code - Specific April 2025 Models: Llama 4 Scout & DeepSeek V3 Free - FIXED) import os import re import logging import asyncio import json import html import contextlib import traceback import urllib.parse from typing import Optional, Dict, Any, Tuple # --- Frameworks --- from starlette.applications import Starlette from starlette.routing import Route from starlette.responses import PlainTextResponse, JSONResponse, Response from starlette.requests import Request # --- Telegram Bot --- from telegram import Update, InlineKeyboardButton, InlineKeyboardMarkup, Bot from telegram.ext import ( Application, CommandHandler, MessageHandler, filters, ContextTypes, CallbackQueryHandler, ) from telegram.constants import ParseMode from telegram.error import NetworkError, RetryAfter, TimedOut, BadRequest, TelegramError from telegram.request import HTTPXRequest, BaseRequest # --- Other Libraries --- import httpx from youtube_transcript_api import YouTubeTranscriptApi, TranscriptsDisabled, NoTranscriptFound from bs4 import BeautifulSoup from tenacity import retry, stop_after_attempt, wait_exponential, retry_if_exception_type, before_sleep_log try: import lxml DEFAULT_PARSER = 'lxml' except ImportError: DEFAULT_PARSER = 'html.parser' # --- Google Gemini --- try: import google.generativeai as genai from google.generativeai.types import HarmCategory, HarmBlockThreshold _gemini_sdk_available = True except ImportError: genai = None HarmCategory = None HarmBlockThreshold = None _gemini_sdk_available = False # --- Groq SDK --- try: from groq import Groq, GroqError _groq_sdk_available = True except ImportError: Groq = None GroqError = None _groq_sdk_available = False # --- Logging Setup --- logging.basicConfig( format='%(asctime)s - %(name)s - %(levelname)s - %(message)s', level=logging.INFO ) logging.getLogger("httpx").setLevel(logging.WARNING) logging.getLogger("telegram.ext").setLevel(logging.INFO) logging.getLogger('telegram.bot').setLevel(logging.INFO) logging.getLogger("urllib3").setLevel(logging.INFO) logging.getLogger('gunicorn.error').setLevel(logging.INFO) logging.getLogger('uvicorn').setLevel(logging.INFO) logging.getLogger('starlette').setLevel(logging.INFO) if _gemini_sdk_available: logging.getLogger("google.ai.generativelanguage").setLevel(logging.WARNING) if _groq_sdk_available: logging.getLogger("groq").setLevel(logging.INFO) logger = logging.getLogger(__name__) logger.info(f"Logging configured. Using BS4 parser: {DEFAULT_PARSER}") if not _gemini_sdk_available: logger.warning("google-generativeai library not found. Gemini functionality disabled.") if not _groq_sdk_available: logger.warning("groq library not found. Groq functionality disabled.") # --- Global variable for PTB app --- ptb_app: Optional[Application] = None # --- Environment Variable Loading & Configuration --- logger.info("Attempting to load secrets and configuration...") def get_secret(secret_name): value = os.environ.get(secret_name) if value: status = "Found"; log_length = min(len(value), 8); value_start = value[:log_length]; logger.info(f"Secret '{secret_name}': {status} (Value starts with: {value_start}...)") else: status = "Not Found"; logger.warning(f"Secret '{secret_name}': {status}") return value TELEGRAM_TOKEN = get_secret('TELEGRAM_TOKEN') GROQ_API_KEY = get_secret('GROQ_API_KEY') # For Llama 4 GEMINI_API_KEY = get_secret('GEMINI_API_KEY') # For Gemini 2.5 Pro and 2.0 Flash OPENROUTER_API_KEY = get_secret('OPENROUTER_API_KEY') # For DeepSeek URLTOTEXT_API_KEY = get_secret('URLTOTEXT_API_KEY') SUPADATA_API_KEY = get_secret('SUPADATA_API_KEY') APIFY_API_TOKEN = get_secret('APIFY_API_TOKEN') RAPIDAPI_KEY = get_secret('RAPIDAPI_KEY') WEBHOOK_SECRET = get_secret('WEBHOOK_SECRET') # --- Model Configurations (Specific April 2025) --- # Model Priority: # 1. Groq Llama 4 Scout # 2. Gemini 2.5 Pro Exp # 3. Gemini 2.0 Flash # 4. OpenRouter DeepSeek V3 Free GROQ_LLAMA4_MODEL = os.environ.get("GROQ_LLAMA4_MODEL", "meta-llama/llama-4-scout-17b-16e-instruct") # Specific Llama 4 model GEMINI_PRO_EXP_MODEL = os.environ.get("GEMINI_PRO_EXP_MODEL", "gemini-2.5-pro-exp-03-25") GEMINI_FLASH_MODEL = os.environ.get("GEMINI_FLASH_MODEL", "gemini-2.0-flash-001") OPENROUTER_DEEPSEEK_MODEL = os.environ.get("OPENROUTER_DEEPSEEK_MODEL", "deepseek/deepseek-chat-v3-0324:free") # Specific DeepSeek model APIFY_ACTOR_ID = os.environ.get("APIFY_ACTOR_ID", "1s7eXiaukVuOr4Ueg") # YT Default APIFY_CRAWLER_ACTOR_ID = "aYG0l9s7dbB7j3gbS" # Scrape Fallback 4 APIFY_TEXT_SCRAPER_ACTOR_ID = "2gbQiRSpJIIag2FdR" # Scrape Fallback 5 # --- Configuration Checks --- if not TELEGRAM_TOKEN: logger.critical("❌ FATAL: TELEGRAM_TOKEN not found."); raise RuntimeError("Exiting: Telegram token missing.") # Summarizer Availability Checks _groq_enabled = _groq_sdk_available and bool(GROQ_API_KEY) _gemini_api_enabled = _gemini_sdk_available and bool(GEMINI_API_KEY) _openrouter_fallback_enabled = bool(OPENROUTER_API_KEY) if not _groq_enabled: if not _groq_sdk_available: logger.error("❌ ERROR: groq library missing. Groq (Llama 4) disabled.") elif not GROQ_API_KEY: logger.error("❌ ERROR: GROQ_API_KEY not found. Primary summarization (Groq Llama 4) will fail.") if not _gemini_api_enabled: if not _gemini_sdk_available: logger.warning("⚠️ WARNING: google-generativeai library missing. Gemini disabled.") elif not GEMINI_API_KEY: logger.warning("⚠️ WARNING: GEMINI_API_KEY not found. Gemini summarization fallbacks (2.5 Pro / 2.0 Flash) will fail.") if not _openrouter_fallback_enabled: logger.warning("⚠️ WARNING: OPENROUTER_API_KEY not found. Final fallback summarization (DeepSeek) will fail.") if not _groq_enabled and not _gemini_api_enabled and not _openrouter_fallback_enabled: logger.critical("❌ FATAL: No summarization models are configured or enabled. Bot cannot function.") elif not _groq_enabled: logger.warning("⚠️ Primary summarizer (Groq Llama 4) is disabled. Will start with Gemini 2.5 Pro.") # Scraper Availability Checks (Warnings only) if not RAPIDAPI_KEY: logger.warning("⚠️ WARNING: RAPIDAPI_KEY not found. RapidAPI scraping fallbacks (2 & 3) will be unavailable.") if not APIFY_API_TOKEN: logger.warning("⚠️ WARNING: APIFY_API_TOKEN not found. YT transcript fallback (2) and Website scraping fallbacks (4 & 5) will be unavailable.") if not URLTOTEXT_API_KEY: logger.warning("Optional secret 'URLTOTEXT_API_KEY' not found. Web scraping fallback 1 unavailable.") if not SUPADATA_API_KEY: logger.warning("Optional secret 'SUPADATA_API_KEY' not found. YT transcript fallback 1 unavailable.") if not WEBHOOK_SECRET: logger.info("Optional secret 'WEBHOOK_SECRET' not found. Webhook security disabled.") logger.info("Secret loading and configuration check finished.") logger.info(f"Summarizer 1 (Groq): {GROQ_LLAMA4_MODEL if _groq_enabled else 'DISABLED'}") logger.info(f"Summarizer 2 (Gemini Pro Exp): {GEMINI_PRO_EXP_MODEL if _gemini_api_enabled else 'DISABLED'}") logger.info(f"Summarizer 3 (Gemini Flash): {GEMINI_FLASH_MODEL if _gemini_api_enabled else 'DISABLED'}") logger.info(f"Summarizer 4 (OpenRouter): {OPENROUTER_DEEPSEEK_MODEL if _openrouter_fallback_enabled else 'DISABLED'}") logger.info(f"Using Apify Actor (YT Default): {APIFY_ACTOR_ID}") logger.info(f"Using Apify Actor (Web Scrape Fallback 4): {APIFY_CRAWLER_ACTOR_ID}") logger.info(f"Using Apify Actor (Web Scrape Fallback 5): {APIFY_TEXT_SCRAPER_ACTOR_ID}") # Flags for scraper key existence _apify_token_exists = bool(APIFY_API_TOKEN) _urltotext_key_exists = bool(URLTOTEXT_API_KEY) _rapidapi_key_exists = bool(RAPIDAPI_KEY) # --- Configure APIs --- if _gemini_api_enabled: try: genai.configure(api_key=GEMINI_API_KEY); logger.info("Google GenAI client configured successfully.") except Exception as e: logger.error(f"Failed to configure Google GenAI client: {e}"); _gemini_api_enabled = False # Groq client is initialized per-request in the _call_groq function # --- Retry Decorator --- @retry( stop=stop_after_attempt(4), wait=wait_exponential(multiplier=1, min=2, max=15), retry=retry_if_exception_type((NetworkError, RetryAfter, TimedOut, BadRequest)), before_sleep=before_sleep_log(logger, logging.WARNING), reraise=True ) async def retry_bot_operation(func, *args, **kwargs): try: return await func(*args, **kwargs) except BadRequest as e: ignore_errors = [ "message is not modified", "query is too old", "message to edit not found", "chat not found", "bot was blocked by the user", ] if any(err in str(e).lower() for err in ignore_errors): logger.warning(f"Ignoring non-critical BadRequest: {e}"); return None logger.error(f"Potentially critical BadRequest: {e}"); raise except TelegramError as e: logger.warning(f"TelegramError (will retry if applicable): {e}"); raise except Exception as e: logger.error(f"Unexpected error during bot operation: {e}", exc_info=True); raise # --- Helper Functions --- def is_youtube_url(url): youtube_regex = re.compile( r'(?:https?://)?(?:www\.)?(?:m\.)?(?:youtube(?:-nocookie)?\.com|youtu\.be)/' r'(?:watch\?v=|embed/|v/|shorts/|live/|attribution_link\?a=.*&u=/watch\?v=)?' r'([\w-]{11})' r'(?:\S+)?', re.IGNORECASE) match = youtube_regex.search(url); logger.debug(f"is_youtube_url '{url}': {bool(match)}"); return bool(match) def extract_youtube_id(url): youtube_regex = re.compile( r'(?:https?://)?(?:www\.)?(?:m\.)?(?:youtube(?:-nocookie)?\.com|youtu\.be)/' r'(?:watch\?v=|embed/|v/|shorts/|live/|attribution_link\?a=.*&u=/watch\?v=)?' r'([\w-]{11})' r'(?:\S+)?', re.IGNORECASE) match = youtube_regex.search(url) if match: video_id = match.group(1); logger.debug(f"Extracted YT ID '{video_id}' from {url}"); return video_id else: logger.warning(f"Could not extract YT ID from {url}"); return None # --- Content Fetching Functions --- async def get_transcript_via_supadata(video_id: str, api_key: str) -> Optional[str]: if not video_id: logger.error("[Supadata] No video_id provided"); return None if not api_key: logger.error("[Supadata] API key missing."); return None logger.info(f"[YT Fallback 1] Attempting fetch for video ID: {video_id} via Supadata") api_endpoint = "https://api.supadata.ai/v1/youtube/transcript" params = {"videoId": video_id, "format": "text"}; headers = {"X-API-Key": api_key} try: async with httpx.AsyncClient(timeout=30.0) as client: response = await client.get(api_endpoint, headers=headers, params=params) logger.debug(f"[Supadata] Status code {response.status_code} for {video_id}") if response.status_code == 200: try: data = response.json() if response.text else None content = None if data: content = data if isinstance(data, str) else data.get("transcript") or data.get("text") or data.get("data") if not content and response.text: content = response.text if content and isinstance(content, str): logger.info(f"[Supadata] Success for {video_id}. Length: {len(content)}"); return content.strip() else: logger.warning(f"[Supadata] Success but content empty/invalid for {video_id}. Response: {response.text[:200]}"); return None except json.JSONDecodeError: logger.warning(f"[Supadata] Received 200 but failed JSON decode for {video_id}. Using raw text if available. Response: {response.text[:200]}"); return response.text.strip() if response.text else None except Exception as e: logger.error(f"[Supadata] Error processing success response for {video_id}: {e}", exc_info=True); return None elif response.status_code in [401, 403]: logger.error(f"[Supadata] Auth error ({response.status_code}). Check API key."); return None elif response.status_code == 404: logger.warning(f"[Supadata] Not found (404) for {video_id}."); return None else: logger.error(f"[Supadata] Unexpected status {response.status_code} for {video_id}. Resp: {response.text[:200]}"); return None except httpx.TimeoutException: logger.error(f"[Supadata] Timeout connecting for {video_id}"); return None except httpx.RequestError as e: if "CERTIFICATE_VERIFY_FAILED" in str(e): logger.error(f"[Supadata] SSL Cert Verify Failed for {video_id}: {e}") else: logger.error(f"[Supadata] Request error for {video_id}: {e}") return None except Exception as e: logger.error(f"[Supadata] Unexpected error for {video_id}: {e}", exc_info=True); return None async def get_transcript_via_apify(video_url: str, api_token: str) -> Optional[str]: """Fallback YT 2: Fetches YouTube transcript using default Apify Actor.""" global APIFY_ACTOR_ID if not video_url: logger.error("[Apify YT] No video_url provided"); return None if not api_token: logger.error("[Apify YT] API token missing."); return None logger.info(f"[YT Fallback 2] Attempting fetch for URL: {video_url} (Actor: {APIFY_ACTOR_ID})") sync_items_endpoint = f"https://api.apify.com/v2/acts/{APIFY_ACTOR_ID}/run-sync-get-dataset-items" params = {"token": api_token} payload = { "urls": [video_url], "outputFormat": "singleStringText", "maxRetries": 5, "channelHandleBoolean": False, "channelNameBoolean": False, "datePublishedBoolean": False, "relativeDateTextBoolean": False, } headers = {"Content-Type": "application/json"} try: async with httpx.AsyncClient(timeout=120.0) as client: logger.debug(f"[Apify YT] POST Request to {sync_items_endpoint} for {video_url}") response = await client.post(sync_items_endpoint, headers=headers, params=params, json=payload) logger.debug(f"[Apify YT] Received status code {response.status_code} for {video_url}") if response.status_code == 200: try: results = response.json() if isinstance(results, list) and len(results) > 0: item = results[0]; content = None if "captions" in item and isinstance(item["captions"], str): content = item["captions"] elif "text" in item and isinstance(item["text"], str): content = item["text"] elif "transcript" in item and isinstance(item["transcript"], str): content = item["transcript"] elif "captions" in item and isinstance(item["captions"], list): if len(item["captions"]) > 0 and isinstance(item["captions"][0], dict) and 'text' in item["captions"][0]: content = " ".join(line.get("text", "") for line in item["captions"] if line.get("text")) elif len(item["captions"]) > 0 and isinstance(item["captions"][0], str): content = " ".join(item["captions"]) if content and isinstance(content, str): logger.info(f"[Apify YT] Success via REST for {video_url}. Length: {len(content)}"); return content.strip() else: logger.warning(f"[Apify YT] Dataset item parsed but transcript content empty/invalid format for {video_url}. Item keys: {list(item.keys())}"); return None else: logger.warning(f"[Apify YT] Actor success but dataset was empty for {video_url}. Response: {results}"); return None except json.JSONDecodeError: logger.error(f"[Apify YT] Failed JSON decode. Status:{response.status_code}. Resp:{response.text[:200]}"); return None except Exception as e: logger.error(f"[Apify YT] Error processing success response for {video_url}: {e}", exc_info=True); return None elif response.status_code == 400: logger.error(f"[Apify YT] Bad Request (400) for {video_url}. Check payload. Resp:{response.text[:200]}"); return None elif response.status_code == 401: logger.error("[Apify YT] Auth error (401). Check token."); return None elif response.status_code == 404: logger.error(f"[Apify YT] Endpoint/Actor Not Found (404). Actor: {APIFY_ACTOR_ID} Resp:{response.text[:200]}"); return None else: logger.error(f"[Apify YT] Unexpected status {response.status_code} for {video_url}. Resp:{response.text[:200]}"); return None except httpx.TimeoutException as e: logger.error(f"[Apify YT] Timeout during API interaction for {video_url}: {e}"); return None except httpx.HTTPStatusError as e: logger.error(f"[Apify YT] HTTP Status Error during API interaction for {video_url}: {e}"); return None except httpx.RequestError as e: logger.error(f"[Apify YT] Request error during API interaction for {video_url}: {e}"); return None except Exception as e: logger.error(f"[Apify YT] Unexpected error during Apify YT call for {video_url}: {e}", exc_info=True); return None async def get_youtube_transcript(video_id: str, video_url: str) -> Optional[str]: global SUPADATA_API_KEY, APIFY_API_TOKEN, _apify_token_exists if not video_id: logger.error("get_youtube_transcript: No video_id"); return None logger.info(f"Fetching transcript for video ID: {video_id} (URL: {video_url})") transcript_text = None logger.info("[Primary YT] Attempting youtube-transcript-api...") try: transcript_list = await asyncio.to_thread( YouTubeTranscriptApi.get_transcript, video_id, languages=['en', 'en-GB', 'en-US'] ) if transcript_list: transcript_text = " ".join([item['text'] for item in transcript_list if 'text' in item]) if transcript_text: logger.info(f"[Primary YT] Success via lib for {video_id} (len: {len(transcript_text)})"); return transcript_text else: logger.warning(f"[Primary YT] Transcript list/text empty for {video_id}"); transcript_text = None except NoTranscriptFound: logger.warning(f"[Primary YT] No transcript found via lib for {video_id}.") except TranscriptsDisabled: logger.warning(f"[Primary YT] Transcripts disabled via lib for {video_id}.") except Exception as e: logger.warning(f"[Primary YT] Error via lib for {video_id}: {e}"); transcript_text = None if transcript_text is None: logger.info("[Fallback YT 1] Trying Supadata API...") if SUPADATA_API_KEY: transcript_text = await get_transcript_via_supadata(video_id, SUPADATA_API_KEY) if transcript_text: logger.info(f"[Fallback YT 1] Success via Supadata for {video_id}"); return transcript_text else: logger.warning(f"[Fallback YT 1] Supadata failed or no content for {video_id}.") else: logger.warning("[Fallback YT 1] Supadata API key unavailable. Skipping.") if transcript_text is None: logger.info("[Fallback YT 2] Trying Apify REST API (Default YT Actor)...") if _apify_token_exists: transcript_text = await get_transcript_via_apify(video_url, APIFY_API_TOKEN) if transcript_text: logger.info(f"[Fallback YT 2] Success via Apify Default YT Actor for {video_url}"); return transcript_text else: logger.warning(f"[Fallback YT 2] Apify Default YT Actor failed or no content for {video_url}.") else: logger.warning("[Fallback YT 2] Apify API token unavailable. Skipping.") if transcript_text is None: logger.error(f"All methods failed for YT transcript: {video_id}"); return None return transcript_text async def fetch_url_content_for_scrape(url: str, timeout: int = 25) -> Optional[str]: """Directly fetches URL content using httpx.""" headers = { 'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/91.0.4472.124 Safari/537.36', 'Accept': 'text/html,application/xhtml+xml,application/xml;q=0.9,image/webp,*/*;q=0.8', 'Accept-Language': 'en-US,en;q=0.5', 'Connection': 'keep-alive', 'DNT': '1', 'Upgrade-Insecure-Requests': '1' } try: async with httpx.AsyncClient(follow_redirects=True, timeout=timeout, headers=headers) as client: logger.debug(f"[Web Scrape Direct] Sending GET request to {url}") response = await client.get(url) logger.debug(f"[Web Scrape Direct] Received response {response.status_code} from {url}") response.raise_for_status() content_type = response.headers.get('content-type', '').lower() if 'html' not in content_type: logger.warning(f"[Web Scrape Direct] Non-HTML content type received from {url}: {content_type}"); return None try: return response.text except Exception as e: logger.error(f"[Web Scrape Direct] Error decoding response text for {url}: {e}"); return None except httpx.HTTPStatusError as e: logger.error(f"[Web Scrape Direct] HTTP error {e.response.status_code} fetching {url}: {e}") except httpx.TimeoutException: logger.error(f"[Web Scrape Direct] Timeout error fetching {url}") except httpx.TooManyRedirects: logger.error(f"[Web Scrape Direct] Too many redirects fetching {url}") except httpx.RequestError as e: logger.error(f"[Web Scrape Direct] Request error fetching {url}: {e}") except Exception as e: logger.error(f"[Web Scrape Direct] Unexpected error fetching {url}: {e}", exc_info=True) return None async def get_website_content(url: str) -> Optional[str]: """Primary method: Fetches HTML directly and parses with BeautifulSoup.""" if not url: logger.error("[Web Scrape Primary] No URL provided"); return None logger.info(f"[Web Scrape Primary] Attempting direct fetch and parse for: {url}") html_content = await fetch_url_content_for_scrape(url) if not html_content: logger.warning(f"[Web Scrape Primary] Direct fetch failed for {url}."); return None try: def parse_html(content: str) -> Optional[str]: try: soup = BeautifulSoup(content, DEFAULT_PARSER) for element in soup(["script", "style", "header", "footer", "nav", "aside", "form", "button", "input", "textarea", "select", "option", "iframe", "img", "svg", "link", "meta", "noscript", "figure", "figcaption", "picture", "source", "map", "area"]): element.extract() main_content = soup.find('main') or soup.find('article') or soup.find(role='main') or soup.find(id=re.compile(r'content|main|body', re.I)) or soup.find(class_=re.compile(r'content|main|body|article|post', re.I)) target_element = main_content if main_content else soup.body if not target_element: logger.warning(f"[Web Scrape Primary Parse] Could not find body or main content container for {url}"); return None lines = [line.strip() for line in target_element.get_text(separator='\n', strip=True).splitlines() if line.strip()] text = " ".join(lines) if not text or len(text) < 50: logger.warning(f"[Web Scrape Primary Parse] Extracted text seems too short or empty after cleaning for {url}. Length: {len(text)}"); return None return text except Exception as parse_e: logger.error(f"[Web Scrape Primary Parse] Error during BeautifulSoup parsing for {url}: {parse_e}", exc_info=False); return None text_content = await asyncio.to_thread(parse_html, html_content) if text_content: logger.info(f"[Web Scrape Primary] Success via direct fetch & parse for {url} (final len: {len(text_content)})"); return text_content else: logger.warning(f"[Web Scrape Primary] Parsing failed or yielded no content for {url}."); return None except Exception as e: logger.error(f"[Web Scrape Primary] Unexpected error during parsing process for {url}: {e}", exc_info=True); return None async def get_website_content_via_api(url: str, api_key: str) -> Optional[str]: """Fallback 1: Fetches website content using urltotext.com API.""" if not url: logger.error("[Web Scrape Fallback 1] No URL"); return None if not api_key: logger.error("[Web Scrape Fallback 1] urltotext.com API key missing."); return None logger.info(f"[Web Scrape Fallback 1] Attempting fetch for: {url} using urltotext.com API") api_endpoint = "https://urltotext.com/api/v1/urltotext/" payload = { "url": url, "output_format": "text", "extract_main_content": True, "render_javascript": True, "residential_proxy": False } headers = { "Authorization": f"Token {api_key}", "Content-Type": "application/json" } try: async with httpx.AsyncClient(timeout=45.0) as client: logger.debug(f"[Web Scrape Fallback 1] Sending request to urltotext.com API for {url}") response = await client.post(api_endpoint, headers=headers, json=payload) logger.debug(f"[Web Scrape Fallback 1] Received status {response.status_code} from urltotext.com API for {url}") if response.status_code == 200: try: data = response.json() content = data.get("data", {}).get("content"); credits = data.get("credits_used", "N/A"); warning = data.get("data", {}).get("warning") if warning: logger.warning(f"[Web Scrape Fallback 1] urltotext.com API Warning for {url}: {warning}") if content and isinstance(content, str): logger.info(f"[Web Scrape Fallback 1] Success via urltotext.com API for {url}. Len: {len(content)}. Credits: {credits}"); return content.strip() else: logger.warning(f"[Web Scrape Fallback 1] urltotext.com API success but content empty for {url}. Resp: {data}"); return None except json.JSONDecodeError: logger.error(f"[Web Scrape Fallback 1] Failed JSON decode urltotext.com for {url}. Resp:{response.text[:500]}"); return None except Exception as e: logger.error(f"[Web Scrape Fallback 1] Error processing urltotext.com success response for {url}: {e}", exc_info=True); return None elif response.status_code in [400, 401, 402, 403, 422, 500]: logger.error(f"[Web Scrape Fallback 1] Error {response.status_code} from urltotext.com API for {url}. Resp:{response.text[:200]}"); return None else: logger.error(f"[Web Scrape Fallback 1] Unexpected status {response.status_code} from urltotext.com API for {url}. Resp:{response.text[:200]}"); return None except httpx.TimeoutException: logger.error(f"[Web Scrape Fallback 1] Timeout connecting to urltotext.com API for {url}"); return None except httpx.RequestError as e: logger.error(f"[Web Scrape Fallback 1] Request error connecting to urltotext.com API for {url}: {e}"); return None except Exception as e: logger.error(f"[Web Scrape Fallback 1] Unexpected error during urltotext.com API call for {url}: {e}", exc_info=True); return None async def get_website_content_via_scrapers_proxy(url: str, api_key: str) -> Optional[str]: """Fallback 2: Fetches website content using Scraper's Proxy Standard endpoint via RapidAPI (Updated).""" if not url: logger.error("[Web Scrape Fallback 2] No URL provided"); return None if not api_key: logger.error("[Web Scrape Fallback 2] RapidAPI key missing."); return None logger.info(f"[Web Scrape Fallback 2] Attempting fetch for: {url} using Scraper's Proxy Standard API (POST)") api_host = "scrapers-proxy2.p.rapidapi.com" # --- Updated Endpoint Construction --- # Uses POST method and /standard path # Query parameters: url and content_type=application/json encoded_url = urllib.parse.quote(url, safe='') content_type_param = urllib.parse.quote('application/json', safe='') api_endpoint = f"https://{api_host}/standard?url={encoded_url}&content_type={content_type_param}" # --- Updated Headers --- headers = { "Content-Type": "application/json", # Added as per cURL example "x-rapidapi-host": api_host, "x-rapidapi-key": api_key, # 'accept-encoding': 'gzip' removed, httpx handles this automatically } # --- Define Payload (empty JSON object as per cURL example, might not be strictly needed but safer) --- payload = {} # Use {} instead of the example string for a generic POST try: async with httpx.AsyncClient(timeout=40.0) as client: logger.debug(f"[Web Scrape Fallback 2] Sending POST request to {api_host}/standard for {url}") # Changed to POST # --- Use client.post with json payload --- response = await client.post(api_endpoint, headers=headers, json=payload) logger.debug(f"[Web Scrape Fallback 2] Received status {response.status_code} from {api_host} for {url}") # --- Response Handling (Kept similar parsing, adjust if /standard format differs) --- if response.status_code == 200: try: data = response.json() # Assuming /standard endpoint might still have 'content' and 'title' or similar structure content = data.get("content") or data.get("text") # Added .get("text") as a potential alternative title = data.get("title") extracted_text = ""; if title and isinstance(title, str): extracted_text += title.strip() + ". " if content and isinstance(content, str): extracted_text += content.strip() if extracted_text and len(extracted_text) > 30: logger.info(f"[Web Scrape Fallback 2] Success via Scraper's Proxy Standard API for {url}. Len: {len(extracted_text)}"); return extracted_text else: # Log if parsing failed even on 200 keys_info = f"Keys: {list(data.keys())}" if isinstance(data, dict) else "Non-dict response" logger.warning(f"[Web Scrape Fallback 2] Scraper's Proxy Standard API success (200) but content/title seems empty or too short for {url}. {keys_info}. Length: {len(extracted_text)}"); return None except json.JSONDecodeError: logger.error(f"[Web Scrape Fallback 2] Failed JSON decode Scraper's Proxy Standard API for {url}. Status:{response.status_code}. Resp:{response.text[:500]}"); return None except Exception as e: logger.error(f"[Web Scrape Fallback 2] Error processing Scraper's Proxy Standard API success response for {url}: {e}", exc_info=True); return None # --- Error Handling (remains the same) --- elif response.status_code == 401: logger.error(f"[Web Scrape Fallback 2] Auth error (401) with {api_host}. Check RapidAPI key."); return None elif response.status_code == 403: logger.error(f"[Web Scrape Fallback 2] Forbidden (403) from {api_host}. Check API subscription/limits."); return None elif response.status_code == 429: logger.warning(f"[Web Scrape Fallback 2] Rate Limit (429) from {api_host}."); return None elif response.status_code >= 500: logger.error(f"[Web Scrape Fallback 2] Server error ({response.status_code}) from {api_host}. Resp:{response.text[:200]}"); return None else: logger.error(f"[Web Scrape Fallback 2] Unexpected status {response.status_code} from {api_host} API for {url}. Resp:{response.text[:200]}"); return None except httpx.TimeoutException: logger.error(f"[Web Scrape Fallback 2] Timeout connecting to {api_host} API for {url}"); return None except httpx.RequestError as e: logger.error(f"[Web Scrape Fallback 2] Request error connecting to {api_host} API for {url}: {e}"); return None except Exception as e: logger.error(f"[Web Scrape Fallback 2] Unexpected error during {api_host} API call for {url}: {e}", exc_info=True); return None async def get_website_content_via_ai_web_scraper(url: str, api_key: str) -> Optional[str]: """Fallback 3: Fetches website content using AI Web Scraper via RapidAPI.""" if not url: logger.error("[Web Scrape Fallback 3] No URL provided"); return None if not api_key: logger.error("[Web Scrape Fallback 3] RapidAPI key missing."); return None logger.info(f"[Web Scrape Fallback 3] Attempting fetch for: {url} using AI Web Scraper API") api_host = "ai-web-scraper.p.rapidapi.com" api_endpoint = f"https://{api_host}/extract_content/v1" headers = { 'Content-Type': 'application/x-www-form-urlencoded', 'x-rapidapi-host': api_host, 'x-rapidapi-key': api_key } payload = {'url': url} try: async with httpx.AsyncClient(timeout=45.0) as client: logger.debug(f"[Web Scrape Fallback 3] Sending POST request to {api_host} for {url}") response = await client.post(api_endpoint, headers=headers, data=payload) logger.debug(f"[Web Scrape Fallback 3] Received status {response.status_code} from {api_host} for {url}") if response.status_code == 200: try: data = response.json(); content = None if isinstance(data, dict): content = data.get("content") or data.get("text") or data.get("extracted_text") or data.get("result") elif isinstance(data, str): content = data if content and isinstance(content, str) and len(content) > 30: logger.info(f"[Web Scrape Fallback 3] Success via AI Web Scraper API for {url}. Len: {len(content)}"); return content.strip() else: keys_info = f"Keys: {list(data.keys())}" if isinstance(data, dict) else f"Type: {type(data)}"; content_len = len(content) if content and isinstance(content, str) else 0 logger.warning(f"[Web Scrape Fallback 3] AI Web Scraper API success but content empty/short/invalid format for {url}. {keys_info}. Length: {content_len}"); return None except json.JSONDecodeError: raw_text = response.text if raw_text and len(raw_text) > 30: logger.warning(f"[Web Scrape Fallback 3] Failed JSON decode for AI Web Scraper, but found raw text content. Status:{response.status_code}. Using raw text. Len: {len(raw_text)}"); return raw_text.strip() else: logger.error(f"[Web Scrape Fallback 3] Failed JSON decode AI Web Scraper API for {url}. Status:{response.status_code}. Resp:{raw_text[:500]}"); return None except Exception as e: logger.error(f"[Web Scrape Fallback 3] Error processing AI Web Scraper API success response for {url}: {e}", exc_info=True); return None elif response.status_code == 401: logger.error(f"[Web Scrape Fallback 3] Auth error (401) with {api_host}. Check RapidAPI key."); return None elif response.status_code == 403: logger.error(f"[Web Scrape Fallback 3] Forbidden (403) from {api_host}. Check API subscription/limits."); return None elif response.status_code == 429: logger.warning(f"[Web Scrape Fallback 3] Rate Limit (429) from {api_host}."); return None elif response.status_code >= 500: logger.error(f"[Web Scrape Fallback 3] Server error ({response.status_code}) from {api_host}. Resp:{response.text[:200]}"); return None else: logger.error(f"[Web Scrape Fallback 3] Unexpected status {response.status_code} from {api_host} API for {url}. Resp:{response.text[:200]}"); return None except httpx.TimeoutException: logger.error(f"[Web Scrape Fallback 3] Timeout connecting to {api_host} API for {url}"); return None except httpx.RequestError as e: logger.error(f"[Web Scrape Fallback 3] Request error connecting to {api_host} API for {url}: {e}"); return None except Exception as e: logger.error(f"[Web Scrape Fallback 3] Unexpected error during {api_host} API call for {url}: {e}", exc_info=True); return None async def _run_apify_actor_for_web_content(url: str, api_token: str, actor_id: str, actor_name: str) -> Optional[str]: """Generic function to run an Apify actor and get text content.""" if not url: logger.error(f"[{actor_name}] No URL provided"); return None if not api_token: logger.error(f"[{actor_name}] API token missing."); return None logger.info(f"[{actor_name}] Attempting fetch for URL: {url} (Actor: {actor_id})") sync_items_endpoint = f"https://api.apify.com/v2/acts/{actor_id}/run-sync-get-dataset-items" params = {"token": api_token} run_input = { "startUrls": [{"url": url}], "maxCrawlPages": 1, "crawlerType": "playwright:firefox" } if actor_id == APIFY_TEXT_SCRAPER_ACTOR_ID: run_input = { "urls": [url] }; logger.debug(f"[{actor_name}] Using simplified input: {run_input}") headers = {"Content-Type": "application/json"} try: async with httpx.AsyncClient(timeout=120.0) as client: logger.debug(f"[{actor_name}] POST Request to {sync_items_endpoint} for {url}") response = await client.post(sync_items_endpoint, headers=headers, params=params, json=run_input) logger.debug(f"[{actor_name}] Received status code {response.status_code} for {url}") # <<< MODIFIED check for success: Accept 200 OR 201 >>> if response.status_code in [200, 201]: # Log if it was 201, as it's slightly unexpected for sync but apparently happens if response.status_code == 201: logger.info(f"[{actor_name}] Received status 201 (Created) from run-sync endpoint, processing results anyway.") try: results = response.json(); content = None # --- The rest of the success processing logic stays the same --- if isinstance(results, list) and len(results) > 0: item = results[0] if "text" in item and isinstance(item["text"], str): content = item["text"] elif "content" in item and isinstance(item["content"], str): content = item["content"] elif "markdown" in item and isinstance(item["markdown"], str): content = item["markdown"] elif "html" in item and isinstance(item["html"], str): logger.warning(f"[{actor_name}] No 'text' or 'markdown' found, attempting to parse 'html' from result.") soup = BeautifulSoup(item["html"], DEFAULT_PARSER) content = " ".join(line.strip() for line in soup.get_text(separator='\n', strip=True).splitlines() if line.strip()) # Check content validity AFTER parsing if content and isinstance(content, str) and len(content) > 30: logger.info(f"[{actor_name}] Success via REST (Status {response.status_code}) for {url}. Length: {len(content)}") return content.strip() else: content_len = len(content) if content and isinstance(content, str) else 0 logger.warning(f"[{actor_name}] Dataset item parsed (Status {response.status_code}) but text content empty/short/invalid format for {url}. Item keys: {list(item.keys())}. Length: {content_len}") return None # Return None if content is bad, even if API status was 200/201 else: # Handle empty dataset list '[]' which might be returned with 200 or 201 logger.warning(f"[{actor_name}] Actor call successful (Status {response.status_code}) but dataset was empty for {url}. Response: {results}") return None # --- End of success processing logic --- except json.JSONDecodeError: logger.error(f"[{actor_name}] Failed JSON decode. Status:{response.status_code}. Resp:{response.text[:200]}"); return None except Exception as e: logger.error(f"[{actor_name}] Error processing success response (Status {response.status_code}) for {url}: {e}", exc_info=True); return None # <<< The existing elif error handling remains the same >>> elif response.status_code == 400: logger.error(f"[{actor_name}] Bad Request (400) for {url}. Check run_input. Resp:{response.text[:200]}"); return None elif response.status_code == 401: logger.error(f"[{actor_name}] Auth error (401). Check token."); return None elif response.status_code == 404: logger.error(f"[{actor_name}] Endpoint/Actor Not Found (404). Actor: {actor_id} Resp:{response.text[:200]}"); return None else: # Catches any other non-200/201 status logger.error(f"[{actor_name}] Unexpected status {response.status_code} for {url}. Resp:{response.text[:200]}"); return None except httpx.TimeoutException as e: logger.error(f"[{actor_name}] Timeout during API interaction for {url}: {e}"); return None except httpx.HTTPStatusError as e: logger.error(f"[{actor_name}] HTTP Status Error during API interaction for {url}: {e}"); return None except httpx.RequestError as e: logger.error(f"[{actor_name}] Request error during API interaction for {url}: {e}"); return None except Exception as e: logger.error(f"[{actor_name}] Unexpected error during {actor_name} call for {url}: {e}", exc_info=True); return None async def get_website_content_via_apify_crawler(url: str, api_token: str) -> Optional[str]: """Fallback 4: Fetches website content using Apify Website Content Crawler.""" return await _run_apify_actor_for_web_content( url=url, api_token=api_token, actor_id=APIFY_CRAWLER_ACTOR_ID, actor_name="Apify Crawler" ) async def get_website_content_via_apify_text_scraper(url: str, api_token: str) -> Optional[str]: """Fallback 5: Fetches website content using Apify Text Scraper Free.""" return await _run_apify_actor_for_web_content( url=url, api_token=api_token, actor_id=APIFY_TEXT_SCRAPER_ACTOR_ID, actor_name="Apify Text Scraper" ) # --- Summarization Functions (Using Specific April 2025 Models) --- # --- Prompts (Defined once, used by all models) --- PROMPT_PARAGRAPH = ( "You are an AI model designed to provide concise summaries using British English spellings. Your output MUST be:\n" "• Clear and simple language suitable for someone unfamiliar with the topic.\n" "• Uses British English spellings throughout.\n" "• Straightforward and understandable vocabulary; avoid complex terms.\n" "• Presented as ONE SINGLE PARAGRAPH.\n" "• No more than 85 words maximum; but does not have to be exactly 85.\n" "• Considers the entire text content equally.\n" "• Uses semicolons (;) instead of em dashes (– or —).\n" "• **Focus ONLY on the main content; strictly EXCLUDE information about website features, subscriptions, ads, cookie notices, or navigation elements. Do not include things like free/paid tiers; basic/premium memberships. Especially for ACS membership.**\n\n" "Here is the text to summarise:" ) PROMPT_POINTS = ( "You are an AI model designed to provide concise summaries using British English spellings. Your output MUST strictly follow this format:\n\n" "• For each distinct topic or section identified in the text, create a heading.\n" "• Each heading MUST be plain text without any formatting (e.g., Section Title).\n" "• Immediately following each heading, list the key points as a bulleted list.\n" "• Each bullet point MUST start with a hyphen and a space (- ) on a new line.\n" "• The text within each bullet point should NOT contain any bold formatting.\n" "• IMPORTANT: Never use bold formatting (double asterisks) within the text of the bullet points themselves.\n" "• Use clear, simple, and straightforward language suitable for someone unfamiliar with the topic.\n" "• Use British English spellings throughout.\n" "• Avoid overly complex or advanced vocabulary.\n" "• Keep bullet points concise.\n" "• Ensure the entire summary takes no more than two minutes to read.\n" "• Consider the entire text's content, not just the beginning or a few topics.\n" "• Use semicolons (;) instead of em dashes (– or —).\n" "• **Focus ONLY on the main content; strictly EXCLUDE information about website features, subscriptions, ads, cookie notices, or navigation elements. Do not include things like free/paid tiers; basic/premium memberships. Especially for ACS membership.**\n\n" "Here is the text to summarise:" ) async def _call_groq(text: str, summary_type: str) -> Tuple[Optional[str], Optional[str]]: """Internal function to call Groq API (Primary - Llama 4 Scout). Returns (summary, error_message).""" global GROQ_API_KEY, GROQ_LLAMA4_MODEL, _groq_enabled if not _groq_enabled: logger.error("[Groq Primary] Called but is disabled."); return None, f"Error: Primary AI service (Groq {GROQ_LLAMA4_MODEL}) not configured/available." logger.info(f"[Groq Primary] Generating {summary_type} summary using {GROQ_LLAMA4_MODEL}. Input length: {len(text)}") prompt = PROMPT_PARAGRAPH if summary_type == "paragraph" else PROMPT_POINTS MAX_INPUT_LENGTH_GROQ = 40000 # ~13k tokens for 16k context if len(text) > MAX_INPUT_LENGTH_GROQ: logger.warning(f"[Groq Primary] Input length ({len(text)}) exceeds estimated limit ({MAX_INPUT_LENGTH_GROQ}). Truncating."); text = text[:MAX_INPUT_LENGTH_GROQ] + "... (Content truncated)" full_prompt = f"{prompt}\n\n{text}" try: groq_client = Groq( api_key=GROQ_API_KEY, timeout=httpx.Timeout(120.0, connect=10.0) ) logger.info(f"[Groq Primary] Sending request to Groq ({GROQ_LLAMA4_MODEL})...") # FIX: Removed await from the synchronous call chat_completion = groq_client.chat.completions.create( messages=[ { "role": "user", "content": full_prompt } ], model=GROQ_LLAMA4_MODEL, temperature=0.7, # Adjust from Groq default of 1 if needed max_tokens=2048, # Adjust from Groq default of 1024 if needed top_p=1, stream=False, stop=None, ) logger.info("[Groq Primary] Received response from Groq.") if chat_completion.choices and chat_completion.choices[0].message and chat_completion.choices[0].message.content: summary = chat_completion.choices[0].message.content finish_reason = chat_completion.choices[0].finish_reason logger.info(f"[Groq Primary] Success generating summary. Finish Reason: {finish_reason}. Output len: {len(summary)}"); return summary.strip(), None else: logger.warning(f"[Groq Primary] Groq response structure unexpected or content empty. Response: {chat_completion.model_dump_json(indent=2)}") finish_reason = chat_completion.choices[0].finish_reason if chat_completion.choices else 'N/A' return None, f"Sorry, the primary AI model ({GROQ_LLAMA4_MODEL}) provided an empty or invalid response (Finish Reason: {finish_reason})." except GroqError as ge: logger.error(f"[Groq Primary] Groq API error: {ge.status_code} - {ge.message}", exc_info=False) error_msg = f"Sorry, the primary AI service ({GROQ_LLAMA4_MODEL}) failed. API Error: {ge.status_code}." if ge.status_code == 401: error_msg = f"Error: Primary AI service (Groq {GROQ_LLAMA4_MODEL}) API key is invalid." elif ge.status_code == 429: error_msg = f"Sorry, primary AI model ({GROQ_LLAMA4_MODEL}) is busy (Rate Limit). Try again." return None, error_msg except httpx.TimeoutException as te: logger.error(f"[Groq Primary] Timeout during Groq API call: {te}") return None, f"Sorry, the primary AI service ({GROQ_LLAMA4_MODEL}) timed out." except httpx.RequestError as re: logger.error(f"[Groq Primary] Network error during Groq API call: {re}") return None, f"Sorry, couldn't connect to the primary AI service ({GROQ_LLAMA4_MODEL})." except Exception as e: logger.error(f"[Groq Primary] Unexpected error during Groq API call: {e}", exc_info=True); # Don't expose internal TypeError potentially, give a generic message # Check if the specific error is the TypeError we saw earlier. if isinstance(e, TypeError) and "can't be used in 'await' expression" in str(e): # This case *shouldn't* happen now await is removed, but good to handle defensively. logger.error("[Groq Primary] Encountered unexpected await TypeError again.") return None, f"Sorry, an internal configuration error occurred with the primary AI service ({GROQ_LLAMA4_MODEL})." return None, f"Sorry, an unexpected error occurred while using the primary AI service ({GROQ_LLAMA4_MODEL})." async def _call_gemini(text: str, summary_type: str, model_name: str) -> Tuple[Optional[str], Optional[str]]: """Internal function to call Gemini API. Returns (summary, error_message).""" global _gemini_api_enabled, HarmCategory, HarmBlockThreshold # Ensure HarmCategory/Threshold are available if SDK is loaded if not _gemini_api_enabled: logger.error(f"[Gemini {model_name}] Called but API is disabled."); return None, f"Error: AI service (Gemini API) not configured/available." logger.info(f"[Gemini {model_name}] Generating {summary_type} summary using {model_name}. Input length: {len(text)}") prompt = PROMPT_PARAGRAPH if summary_type == "paragraph" else PROMPT_POINTS MAX_INPUT_LENGTH_GEMINI = 900000 if len(text) > MAX_INPUT_LENGTH_GEMINI: logger.warning(f"[Gemini {model_name}] Input length ({len(text)}) exceeds limit ({MAX_INPUT_LENGTH_GEMINI}). Truncating."); text = text[:MAX_INPUT_LENGTH_GEMINI] + "... (Content truncated)" full_prompt = f"{prompt}\n\n{text}" # FIX: Define safety_settings explicitly with the 5 categories from the error log # Removed the problematic loop that dynamically added potentially unsupported categories. try: safety_settings = { HarmCategory.HARM_CATEGORY_HARASSMENT: HarmBlockThreshold.BLOCK_NONE, HarmCategory.HARM_CATEGORY_HATE_SPEECH: HarmBlockThreshold.BLOCK_NONE, HarmCategory.HARM_CATEGORY_SEXUALLY_EXPLICIT: HarmBlockThreshold.BLOCK_NONE, HarmCategory.HARM_CATEGORY_DANGEROUS_CONTENT: HarmBlockThreshold.BLOCK_NONE, HarmCategory.HARM_CATEGORY_CIVIC_INTEGRITY: HarmBlockThreshold.BLOCK_NONE, # Added based on error msg } logger.debug(f"[Gemini {model_name}] Using safety settings: { {k.name: v.name for k, v in safety_settings.items()} }") except AttributeError: # Handle case where HarmCategory or HarmBlockThreshold might not be loaded correctly # This shouldn't happen if _gemini_sdk_available is True, but defensive coding logger.error(f"[Gemini {model_name}] Failed to define safety settings. HarmCategory/HarmBlockThreshold missing?") return None, f"Sorry, an internal error occurred configuring the AI service ({model_name})." try: logger.debug(f"[Gemini {model_name}] Initializing model {model_name}") model = genai.GenerativeModel(model_name) logger.info(f"[Gemini {model_name}] Sending request to Gemini ({model_name})...") request_options = {"timeout": 120} response = await model.generate_content_async( full_prompt, generation_config=genai.types.GenerationConfig(), safety_settings=safety_settings, request_options=request_options ) logger.info(f"[Gemini {model_name}] Received response from Gemini.") if response.prompt_feedback and response.prompt_feedback.block_reason: block_reason_str = getattr(response.prompt_feedback.block_reason, 'name', str(response.prompt_feedback.block_reason)) logger.warning(f"[Gemini {model_name}] Request blocked by API. Reason: {block_reason_str}"); return None, f"Sorry, the AI model ({model_name}) blocked the request (Reason: {block_reason_str})." summary = None; finish_reason_str = 'UNKNOWN' if response.candidates: candidate = response.candidates[0] finish_reason_name = getattr(candidate.finish_reason, 'name', None) finish_reason_str = finish_reason_name or 'N/A' if finish_reason_name == 'SAFETY': safety_ratings_str = ", ".join([f"{rating.category.name}: {rating.probability.name}" for rating in candidate.safety_ratings]) logger.warning(f"[Gemini {model_name}] Candidate blocked due to SAFETY. Finish Reason: {finish_reason_str}. Ratings: [{safety_ratings_str}]") return None, f"Sorry, the AI model ({model_name}) blocked the response due to safety filters ({finish_reason_str})." elif finish_reason_name not in ['STOP', 'MAX_TOKENS', None]: logger.warning(f"[Gemini {model_name}] Candidate finished with non-standard reason: {finish_reason_str}") if candidate.content and candidate.content.parts: summary = "".join(part.text for part in candidate.content.parts if hasattr(part, 'text')) if summary is None: try: summary = response.text except ValueError as e: logger.warning(f"[Gemini {model_name}] Error accessing response.text (likely blocked): {e}"); summary = None if summary: logger.info(f"[Gemini {model_name}] Success generating summary. Finish Reason: {finish_reason_str}. Output len: {len(summary)}"); return summary.strip(), None else: logger.warning(f"[Gemini {model_name}] Gemini returned empty summary or content was blocked. Final Finish Reason: {finish_reason_str}"); return None, f"Sorry, the AI model ({model_name}) did not provide a summary (Finish Reason: {finish_reason_str})." except AttributeError as ae: logger.error(f"[Gemini {model_name}] AttributeError during Gemini response processing: {ae}. SDK might be incompatible or response structure unexpected.", exc_info=True); return None, f"Sorry, there was an issue processing the response from the AI service ({model_name})." except Exception as e: logger.error(f"[Gemini {model_name}] Unexpected error during Gemini API call: {e}", exc_info=True); # Check if it's the specific InvalidArgument error we were seeing if isinstance(e, google.api_core.exceptions.InvalidArgument) and "safety_settings" in str(e): logger.error(f"[Gemini {model_name}] Safety settings InvalidArgument error persisted: {e}") return None, f"Sorry, the AI service ({model_name}) reported an invalid configuration (Safety Settings). Please report this issue." error_msg = f"Sorry, an unexpected error occurred while using the AI service ({model_name})." return None, error_msg async def _call_openrouter(text: str, summary_type: str) -> Tuple[Optional[str], Optional[str]]: """Internal function to call OpenRouter API (Final Fallback - DeepSeek V3 Free). Returns (summary, error_message).""" global OPENROUTER_API_KEY, OPENROUTER_DEEPSEEK_MODEL, _openrouter_fallback_enabled if not _openrouter_fallback_enabled: logger.error("[OpenRouter Fallback] Called but is disabled."); return None, "Error: Final fallback AI service (OpenRouter) not configured/available." logger.info(f"[OpenRouter Fallback] Generating {summary_type} summary using {OPENROUTER_DEEPSEEK_MODEL}. Input length: {len(text)}") prompt = PROMPT_PARAGRAPH if summary_type == "paragraph" else PROMPT_POINTS MAX_INPUT_LENGTH_OR = 100000 # DeepSeek V3 has 131k context, 100k chars is safe if len(text) > MAX_INPUT_LENGTH_OR: logger.warning(f"[OpenRouter Fallback] Input length ({len(text)}) exceeds estimated limit ({MAX_INPUT_LENGTH_OR}) for {OPENROUTER_DEEPSEEK_MODEL}. Truncating."); text = text[:MAX_INPUT_LENGTH_OR] + "... (Content truncated)" full_prompt = f"{prompt}\n\n{text}" headers = { "Authorization": f"Bearer {OPENROUTER_API_KEY}", "Content-Type": "application/json", "HTTP-Referer": os.environ.get("YOUR_SITE_URL", "https://github.com/your-repo"), "X-Title": os.environ.get("YOUR_SITE_NAME", "TelegramSummariserBot") } payload = { "model": OPENROUTER_DEEPSEEK_MODEL, "messages": [{"role": "user", "content": full_prompt}], } openrouter_api_endpoint = "https://openrouter.ai/api/v1/chat/completions" api_timeouts = httpx.Timeout(connect=10.0, read=60.0, write=10.0, pool=60.0) response = None try: async with httpx.AsyncClient(timeout=api_timeouts) as client: logger.info(f"[OpenRouter Fallback] Sending request to OpenRouter ({OPENROUTER_DEEPSEEK_MODEL}) with read timeout {api_timeouts.read}s...") response = await client.post(openrouter_api_endpoint, headers=headers, json=payload) logger.info(f"[OpenRouter Fallback] Received response from OpenRouter. Status code: {response.status_code}") if response.status_code == 200: try: data = response.json() if data.get("choices") and isinstance(data["choices"], list) and len(data["choices"]) > 0: choice = data["choices"][0]; message = choice.get("message"); finish_reason = choice.get("finish_reason", "N/A") if message and isinstance(message, dict): summary = message.get("content") if summary: logger.info(f"[OpenRouter Fallback] Success via OpenRouter. Finish: {finish_reason}. Output len: {len(summary)}"); return summary.strip(), None else: logger.warning(f"[OpenRouter Fallback] OpenRouter success but content empty. Finish: {finish_reason}. Resp: {data}"); return None, f"Sorry, the fallback AI model ({OPENROUTER_DEEPSEEK_MODEL}) returned an empty summary (Finish: {finish_reason})." else: logger.error(f"[OpenRouter Fallback] Unexpected message structure: {message}. Finish: {finish_reason}. Full: {data}"); return None, "Sorry, could not parse fallback AI response (message format)." else: error_details = data.get("error", {}); logger.error(f"[OpenRouter Fallback] Unexpected choices structure or error in response: {data.get('choices')}. Error: {error_details}. Full: {data}"); return None, f"Sorry, could not parse fallback AI response (choices structure or error: {error_details.get('message', 'Unknown')})." except json.JSONDecodeError: logger.error(f"[OpenRouter Fallback] Failed JSON decode OpenRouter. Status:{response.status_code}. Resp:{response.text[:500]}"); return None, "Sorry, failed to understand fallback AI response." except Exception as e: logger.error(f"[OpenRouter Fallback] Error processing OpenRouter success response: {e}", exc_info=True); return None, "Sorry, error processing fallback AI response." elif response.status_code == 401: logger.error("[OpenRouter Fallback] API key invalid (401)."); return None, f"Error: Fallback AI model ({OPENROUTER_DEEPSEEK_MODEL}) configuration key is invalid." elif response.status_code == 402: logger.error("[OpenRouter Fallback] Payment Required/Quota Exceeded (402)."); return None, f"Sorry, fallback AI service ({OPENROUTER_DEEPSEEK_MODEL}) quota/limit issue." elif response.status_code == 429: logger.warning("[OpenRouter Fallback] Rate Limit Exceeded (429)."); return None, f"Sorry, fallback AI model ({OPENROUTER_DEEPSEEK_MODEL}) is busy. Try again." elif response.status_code == 500: logger.error(f"[OpenRouter Fallback] Internal Server Error (500). Resp:{response.text[:500]}"); return None, f"Sorry, fallback AI service ({OPENROUTER_DEEPSEEK_MODEL}) had an internal error." else: error_info = ""; try: error_info = response.json().get("error", {}).get("message", "") except Exception: pass logger.error(f"[OpenRouter Fallback] Unexpected status {response.status_code}. Error: '{error_info}' Resp:{response.text[:500]}"); return None, f"Sorry, fallback AI service ({OPENROUTER_DEEPSEEK_MODEL}) returned unexpected status ({response.status_code})." except httpx.TimeoutException as e: logger.error(f"[OpenRouter Fallback] Timeout error ({type(e)}) connecting/reading from OpenRouter API: {e}"); return None, f"Sorry, the fallback AI service ({OPENROUTER_DEEPSEEK_MODEL}) timed out." except httpx.RequestError as e: logger.error(f"[OpenRouter Fallback] Request error connecting to OpenRouter API: {e}"); return None, "Sorry, there was an error connecting to the fallback AI model service." except Exception as e: logger.error(f"[OpenRouter Fallback] Unexpected error during OpenRouter call: {e}", exc_info=True); return None, "Sorry, an unexpected error occurred while using the fallback AI service." async def generate_summary(text: str, summary_type: str) -> str: """ Generates summary using the specific model hierarchy (April 2025): 1. Groq (Llama 4 Scout) 2. Gemini (2.5 Pro Exp) 3. Gemini (2.0 Flash) 4. OpenRouter (DeepSeek V3 Free) Returns the summary text or a comprehensive error message. """ global _groq_enabled, _gemini_api_enabled, _openrouter_fallback_enabled global GROQ_LLAMA4_MODEL, GEMINI_PRO_EXP_MODEL, GEMINI_FLASH_MODEL, OPENROUTER_DEEPSEEK_MODEL logger.info("[Summary Generation] Starting process with specific April 2025 model hierarchy.") summary: Optional[str] = None errors: Dict[str, Optional[str]] = { "Llama4Scout": None, "GeminiProExp": None, "GeminiFlash": None, "DeepSeekV3": None, } # --- Attempt 1: Groq (Llama 4 Scout) --- if _groq_enabled: logger.info(f"[Summary Generation] Attempting 1: Groq ({GROQ_LLAMA4_MODEL})") summary, errors["Llama4Scout"] = await _call_groq(text, summary_type) if summary: logger.info(f"[Summary Generation] Success with Groq ({GROQ_LLAMA4_MODEL}).") return summary else: logger.warning(f"[Summary Generation] Groq Llama 4 Scout failed. Error: {errors['Llama4Scout']}. Proceeding to Gemini 2.5 Pro Exp.") else: logger.warning("[Summary Generation] Groq (Llama 4 Scout) is disabled or unavailable. Skipping.") errors["Llama4Scout"] = "Service disabled/unavailable." # --- Attempt 2: Gemini 2.5 Pro Exp --- if _gemini_api_enabled: logger.info(f"[Summary Generation] Attempting 2: Gemini ({GEMINI_PRO_EXP_MODEL})") summary, errors["GeminiProExp"] = await _call_gemini(text, summary_type, GEMINI_PRO_EXP_MODEL) if summary: logger.info(f"[Summary Generation] Success with Gemini ({GEMINI_PRO_EXP_MODEL}).") return summary else: logger.warning(f"[Summary Generation] Gemini 2.5 Pro Exp failed. Error: {errors['GeminiProExp']}. Proceeding to Gemini 2.0 Flash.") else: logger.warning("[Summary Generation] Gemini API is disabled or unavailable. Skipping Gemini 2.5 Pro Exp & 2.0 Flash.") errors["GeminiProExp"] = "Service disabled/unavailable." errors["GeminiFlash"] = "Service disabled/unavailable." # --- Attempt 3: Gemini 2.0 Flash --- if _gemini_api_enabled and errors["GeminiFlash"] is None: # Check if Gemini API is enabled AND wasn't already marked as failed/skipped logger.info(f"[Summary Generation] Attempting 3: Gemini ({GEMINI_FLASH_MODEL})") summary, errors["GeminiFlash"] = await _call_gemini(text, summary_type, GEMINI_FLASH_MODEL) if summary: logger.info(f"[Summary Generation] Success with Gemini ({GEMINI_FLASH_MODEL}).") return summary else: logger.warning(f"[Summary Generation] Gemini 2.0 Flash failed. Error: {errors['GeminiFlash']}. Proceeding to OpenRouter DeepSeek V3.") elif errors["GeminiFlash"] is None: # Only log skip message if it wasn't already marked as disabled logger.warning("[Summary Generation] Skipping Gemini 2.0 Flash (API was disabled).") errors["GeminiFlash"] = "Service disabled/unavailable." # --- Attempt 4: OpenRouter (DeepSeek V3 Free - Final Fallback) --- if _openrouter_fallback_enabled: logger.info(f"[Summary Generation] Attempting 4: OpenRouter ({OPENROUTER_DEEPSEEK_MODEL})") summary, errors["DeepSeekV3"] = await _call_openrouter(text, summary_type) if summary: logger.info(f"[Summary Generation] Success with OpenRouter ({OPENROUTER_DEEPSEEK_MODEL}).") return summary else: logger.error(f"[Summary Generation] OpenRouter DeepSeek V3 (Final Fallback) also failed. Error: {errors['DeepSeekV3']}") else: logger.error("[Summary Generation] OpenRouter fallback (DeepSeek V3) is disabled or unavailable. Cannot proceed.") errors["DeepSeekV3"] = "Service disabled/unavailable." # --- All Attempts Failed --- logger.error("[Summary Generation] All summarization models failed.") error_details = "\n".join([f"- {model}: {err}" for model, err in errors.items() if err]) return f"Sorry, I couldn't generate a summary after trying all available AI models.\nDetails:\n{error_details}" # --- Main Processing Logic --- async def process_summary_task( user_id: int, chat_id: int, message_id_to_edit: Optional[int], url: str, summary_type: str, bot_token: str ) -> None: """Handles the entire process: fetching content (with ALL fallbacks) and summarizing.""" task_id = f"{user_id}-{message_id_to_edit or 'new'}"; logger.info(f"[Task {task_id}] Starting processing for URL: {url}") background_request: Optional[BaseRequest] = None; bot: Optional[Bot] = None try: background_request = HTTPXRequest( connect_timeout=15.0, read_timeout=60.0, write_timeout=60.0, pool_timeout=60.0 ); bot = Bot(token=bot_token, request=background_request) except Exception as e: logger.critical(f"[Task {task_id}] Failed to create background bot: {e}", exc_info=True); return content: Optional[str] = None user_feedback_message: Optional[str] = None success: bool = False status_message_id: Optional[int] = message_id_to_edit message_to_delete_later_id : Optional[int] = None try: # --- 1. Initial User Feedback --- processing_message_text = f"Got it! Generating '{summary_type}' summary for:\n`{url}`\n\nFetching content (this might take a moment)..." if status_message_id: try: await retry_bot_operation( bot.edit_message_text, chat_id=chat_id, message_id=status_message_id, text=processing_message_text, parse_mode=ParseMode.MARKDOWN, reply_markup=None ); logger.debug(f"[Task {task_id}] Edited message {status_message_id} to 'Processing'") except Exception as e: logger.warning(f"[Task {task_id}] Could not edit original message {status_message_id}: {e}. Sending new."); status_message_id = None if not status_message_id: try: status_message = await retry_bot_operation( bot.send_message, chat_id=chat_id, text=processing_message_text, parse_mode=ParseMode.MARKDOWN ) if status_message: message_to_delete_later_id = status_message.message_id; logger.debug(f"[Task {task_id}] Sent new status message {message_to_delete_later_id}") else: raise RuntimeError("Failed to send status message after retries.") except Exception as e: logger.error(f"[Task {task_id}] CRITICAL: Failed to send new status message: {e}"); raise try: # --- 2. Content Fetching (Chain of methods) --- await retry_bot_operation(bot.send_chat_action, chat_id=chat_id, action='typing') is_youtube = is_youtube_url(url); logger.debug(f"[Task {task_id}] URL type: {'YouTube' if is_youtube else 'Website'}") if is_youtube: video_id = extract_youtube_id(url) if video_id: content = await get_youtube_transcript(video_id, url) else: user_feedback_message = "Sorry, I couldn't understand that YouTube URL format." if not content and not user_feedback_message: user_feedback_message = "Sorry, I couldn't get the transcript for that YouTube video using any available method (unavailable/private/no captions?)." else: # Website URL processing with NEW fallback order: 1 -> 5 -> 6 -> 3 -> 4 -> 2 global URLTOTEXT_API_KEY, RAPIDAPI_KEY, APIFY_API_TOKEN, _urltotext_key_exists, _rapidapi_key_exists, _apify_token_exists # --- Method 1: Direct Fetch + BS4 (Primary) --- logger.info(f"[Task {task_id}] Trying Web Scrape Method 1 (Direct Fetch + BS4)..."); content = await get_website_content(url) # --- Method 5: Apify Crawler (Fallback 1) --- if not content: logger.warning(f"[Task {task_id}] Method 1 failed. Trying Method 5 (Apify Crawler)...") if _apify_token_exists: await retry_bot_operation(bot.send_chat_action, chat_id=chat_id, action='typing') content = await get_website_content_via_apify_crawler(url, APIFY_API_TOKEN) else: logger.warning("[Task {task_id}] Method 5 (Apify Crawler) APIFY_API_TOKEN unavailable. Skipping.") # --- Method 6: Apify Text Scraper (Fallback 2) --- if not content: logger.warning(f"[Task {task_id}] Method 5 failed. Trying Method 6 (Apify Text Scraper)...") if _apify_token_exists: await retry_bot_operation(bot.send_chat_action, chat_id=chat_id, action='typing') content = await get_website_content_via_apify_text_scraper(url, APIFY_API_TOKEN) else: logger.warning("[Task {task_id}] Method 6 (Apify Text Scraper) APIFY_API_TOKEN unavailable. Skipping.") # --- Method 3: RapidAPI - Scraper's Proxy (Fallback 3) --- if not content: logger.warning(f"[Task {task_id}] Method 6 failed. Trying Method 3 (Scraper's Proxy)...") if _rapidapi_key_exists: await retry_bot_operation(bot.send_chat_action, chat_id=chat_id, action='typing') content = await get_website_content_via_scrapers_proxy(url, RAPIDAPI_KEY) else: logger.warning("[Task {task_id}] Method 3 (Scraper's Proxy) RapidAPI key unavailable. Skipping.") # --- Method 4: RapidAPI - AI Web Scraper (Fallback 4) --- if not content: logger.warning(f"[Task {task_id}] Method 3 failed. Trying Method 4 (AI Web Scraper)...") if _rapidapi_key_exists: await retry_bot_operation(bot.send_chat_action, chat_id=chat_id, action='typing') content = await get_website_content_via_ai_web_scraper(url, RAPIDAPI_KEY) else: logger.warning("[Task {task_id}] Method 4 (AI Web Scraper) RapidAPI key unavailable. Skipping.") # --- Method 2: urltotext.com API (Fallback 5) --- if not content: logger.warning(f"[Task {task_id}] Method 4 failed. Trying Method 2 (urltotext.com)...") if _urltotext_key_exists: await retry_bot_operation(bot.send_chat_action, chat_id=chat_id, action='typing') content = await get_website_content_via_api(url, URLTOTEXT_API_KEY) else: logger.warning("[Task {task_id}] Method 2 (urltotext.com) API key unavailable. Skipping.") # --- Final check after all attempts --- if not content and not user_feedback_message: logger.error(f"[Task {task_id}] All website fetching methods (1, 5, 6, 3, 4, 2) failed for {url}") user_feedback_message = "Sorry, I couldn't fetch readable content from that website using multiple methods (blocked/dynamic content/empty?)." # --- 3. Summarization --- if content: logger.info(f"[Task {task_id}] Content fetched successfully (len:{len(content)}). Generating summary.") try: status_update_msg_id = message_to_delete_later_id or status_message_id if status_update_msg_id: await retry_bot_operation( bot.edit_message_text, chat_id=chat_id, message_id=status_update_msg_id, text=f"Content fetched! Now generating '{summary_type}' summary...", parse_mode=ParseMode.MARKDOWN, reply_markup=None ) except Exception as edit_e: logger.warning(f"[Task {task_id}] Failed to edit status message before summary: {edit_e}") await retry_bot_operation(bot.send_chat_action, chat_id=chat_id, action='typing') final_summary = await generate_summary(content, summary_type) # Calls the updated function if final_summary.startswith("Error:") or final_summary.startswith("Sorry,"): user_feedback_message = final_summary logger.warning(f"[Task {task_id}] Summary generation failed: {final_summary}") else: max_length = 4096 summary_parts = [final_summary[i:i+max_length] for i in range(0, len(final_summary), max_length)] await retry_bot_operation( bot.send_message, chat_id=chat_id, text=summary_parts[0], parse_mode=None, link_preview_options={'is_disabled': True} ) for part in summary_parts[1:]: await asyncio.sleep(0.5); await retry_bot_operation( bot.send_message, chat_id=chat_id, text=part, parse_mode=None, link_preview_options={'is_disabled': True} ) success = True logger.info(f"[Task {task_id}] Successfully sent summary ({len(summary_parts)} parts).") user_feedback_message = None # --- 4. Handle Final Failure Feedback --- if user_feedback_message: logger.warning(f"[Task {task_id}] Sending failure feedback: {user_feedback_message}") await retry_bot_operation( bot.send_message, chat_id=chat_id, text=user_feedback_message, link_preview_options={'is_disabled': True} ) except Exception as e: logger.error(f"[Task {task_id}] Unexpected error during processing: {e}", exc_info=True) user_feedback_message = "Oops! Something went really wrong during processing. Please try again later." try: await retry_bot_operation( bot.send_message, chat_id=chat_id, text=user_feedback_message ) except Exception: logger.error(f"[Task {task_id}] Failed to send unexpected error feedback.") except Exception as outer_e: logger.critical(f"[Task {task_id}] Critical outer error: {outer_e}", exc_info=True) try: if bot: await retry_bot_operation( bot.send_message, chat_id=chat_id, text="❌ Critical internal error occurred. Could not start processing." ) except Exception: logger.exception(f"[Task {task_id}] Failed even to send critical error message.") finally: # --- 5. Cleanup --- delete_target_id = message_to_delete_later_id if message_to_delete_later_id else status_message_id if delete_target_id and bot: try: await retry_bot_operation(bot.delete_message, chat_id=chat_id, message_id=delete_target_id); logger.debug(f"[Task {task_id}] Deleted status/button message {delete_target_id}") except Exception as del_e: logger.warning(f"[Task {task_id}] Failed to delete status/button message {delete_target_id}: {del_e}") if background_request and hasattr(background_request, '_client') and background_request._client: try: await background_request._client.aclose(); logger.debug(f"[Task {task_id}] Background bot's HTTPX client closed.") except Exception as e: logger.warning(f"[Task {task_id}] Error closing background bot's client: {e}") logger.info(f"[Task {task_id}] Task completed. Success: {success}") # --- Telegram Handlers --- async def start(update: Update, context: ContextTypes.DEFAULT_TYPE) -> None: user = update.effective_user; mention = user.mention_html() if not user or not update.message: return logger.info(f"User {user.id} ({user.username or 'no_username'}) used /start.") await update.message.reply_html( f"👋 Hello {mention}! I can summarise YouTube links or website URLs.\n\nJust send me a link anytime!" ) async def help_command(update: Update, context: ContextTypes.DEFAULT_TYPE) -> None: user = update.effective_user if not user or not update.message: return logger.info(f"User {user.id} ({user.username or 'no_username'}) used /help.") help_text = ( "🔍 **How to use this bot:**\n\n" "1. Send me any YouTube video link or website URL.\n" "2. I'll ask how you want it summarised (paragraph or points).\n" "3. Click the button for your choice.\n" "4. Wait while I fetch the content and generate the summary!\n\n" "⚙️ I try multiple methods to get content, especially for tricky websites or YouTube videos without standard transcripts. I then use a sequence of AI models (Llama 4 Scout, Gemini 2.5 Pro, Gemini 2.0 Flash, DeepSeek V3) to summarise.\n\n" # Updated help text "**Commands:**\n" "`/start` - Display the welcome message\n" "`/help` - Show this help message" ) await update.message.reply_text(help_text, parse_mode=ParseMode.MARKDOWN) async def handle_potential_url(update: Update, context: ContextTypes.DEFAULT_TYPE) -> None: if not update.message or not update.message.text: return url = update.message.text.strip(); user = update.effective_user if not user: return url_pattern = re.compile(r"https?://[^\s/$.?#].[^\s]*", re.IGNORECASE) match = url_pattern.search(url) if match: extracted_url = match.group(0) logger.info(f"User {user.id} ({user.username or 'no_username'}) sent potential URL: {extracted_url}") context.user_data['url_to_summarize'] = extracted_url context.user_data['original_message_id'] = update.message.message_id keyboard = [[ InlineKeyboardButton("Paragraph Summary", callback_data="paragraph"), InlineKeyboardButton("Points Summary", callback_data="points") ]] reply_markup = InlineKeyboardMarkup(keyboard) try: await update.message.reply_text( f"Okay, I see this link:\n`{extracted_url}`\n\nHow would you like it summarised?", reply_markup=reply_markup, disable_web_page_preview=True, parse_mode=ParseMode.MARKDOWN ) except BadRequest as e: if "chat not found" in str(e).lower() or "bot was blocked by the user" in str(e).lower(): logger.warning(f"Could not reply to user {user.id} (chat not found or blocked).") else: logger.error(f"BadRequest replying to URL message from {user.id}: {e}") except Exception as e: logger.error(f"Error replying to URL message from {user.id}: {e}", exc_info=True) else: logger.debug(f"Ignoring non-URL message from {user.id}: {url[:100]}") async def handle_summary_type_callback(update: Update, context: ContextTypes.DEFAULT_TYPE) -> None: query = update.callback_query if not query or not query.message or not query.from_user: logger.warning("Callback query missing data."); return user = query.from_user; summary_type = query.data; query_id = query.id try: await query.answer(); logger.debug(f"Ack callback {query_id} from {user.id} ({user.username or 'no_username'})") except BadRequest as e: if "query is too old" in str(e).lower(): logger.warning(f"Callback query {query_id} is too old to answer."); return else: logger.error(f"Error answering callback {query_id}: {e}", exc_info=True) except Exception as e: logger.error(f"Error answering callback {query_id}: {e}", exc_info=True) url = context.user_data.get('url_to_summarize'); message_id_to_edit = query.message.message_id logger.info(f"User {user.id} chose '{summary_type}' for msg {message_id_to_edit}. URL in context: {'Yes' if url else 'No'}") if not url: logger.warning(f"No URL in context for user {user.id} (cb {query_id}). Might be an old button click.") try: await query.edit_message_text(text="Sorry, I couldn't find the original URL for this request (it might be too old). Please send the link again.") except BadRequest as e: if "message is not modified" in str(e).lower() or "message to edit not found" in str(e).lower(): pass else: logger.warning(f"Failed to edit 'URL not found' message {message_id_to_edit} for user {user.id}: {e}") except Exception as e: logger.warning(f"Error editing 'URL not found' message {message_id_to_edit} for user {user.id}: {e}") return context.user_data.pop('url_to_summarize', None); context.user_data.pop('original_message_id', None); logger.debug(f"Cleared URL context for user {user.id}") # Check essential configurations - requires at least ONE summarizer to be enabled global TELEGRAM_TOKEN, _groq_enabled, _gemini_api_enabled, _openrouter_fallback_enabled if not TELEGRAM_TOKEN: logger.critical("TELEGRAM_TOKEN missing in callback!") try: await query.edit_message_text(text="❌ Bot configuration error (Token Missing). Cannot proceed.") except Exception: pass return if not _groq_enabled and not _gemini_api_enabled and not _openrouter_fallback_enabled: logger.critical("No summarization models are configured/valid in callback!") try: await query.edit_message_text(text="❌ AI configuration error: No summarization models available.") except Exception: pass return # Log warnings if specific models/APIs are unavailable but don't stop the process if fallbacks exist if not _groq_enabled: logger.warning("Primary AI (Groq Llama 4 Scout) is unavailable.") if not _gemini_api_enabled: logger.warning("Gemini API is unavailable (skipping 2.5 Pro Exp & 2.0 Flash).") if not _openrouter_fallback_enabled: logger.warning("Final Fallback AI (OpenRouter DeepSeek V3) is unavailable.") logger.info(f"Scheduling background task for user {user.id}, chat {query.message.chat_id}, msg {message_id_to_edit}") asyncio.create_task( process_summary_task( user_id=user.id, chat_id=query.message.chat_id, message_id_to_edit=message_id_to_edit, url=url, summary_type=summary_type, bot_token=TELEGRAM_TOKEN ), name=f"SummaryTask-{user.id}-{message_id_to_edit}" ) async def error_handler(update: object, context: ContextTypes.DEFAULT_TYPE) -> None: """Log Errors caused by Updates.""" logger.error("Exception while handling an update:", exc_info=context.error) # --- Application Setup & Web Framework --- async def setup_bot_config() -> Application: logger.info("Configuring Telegram Application..."); global TELEGRAM_TOKEN if not TELEGRAM_TOKEN: raise ValueError("TELEGRAM_TOKEN missing.") custom_request = HTTPXRequest( connect_timeout=10.0, read_timeout=30.0, write_timeout=30.0, pool_timeout=60.0 ) application = Application.builder().token(TELEGRAM_TOKEN).request(custom_request).build() application.add_handler(CommandHandler("start", start)) application.add_handler(CommandHandler("help", help_command)) url_filter = filters.Entity("url") | filters.Entity("text_link") application.add_handler(MessageHandler(filters.TEXT & ~filters.COMMAND & url_filter, handle_potential_url)) application.add_handler(CallbackQueryHandler(handle_summary_type_callback)) application.add_error_handler(error_handler) logger.info("Telegram application handlers configured."); return application @contextlib.asynccontextmanager async def lifespan(app: Starlette): global ptb_app, WEBHOOK_SECRET, TELEGRAM_TOKEN logger.info("ASGI Lifespan: Startup initiated..."); if not TELEGRAM_TOKEN: logger.critical("TG TOKEN missing."); raise RuntimeError("Telegram token missing.") bot_setup_successful = False try: ptb_app = await setup_bot_config(); await ptb_app.initialize() bot_info = await ptb_app.bot.get_me(); logger.info(f"Bot initialized: @{bot_info.username} (ID: {bot_info.id})") bot_setup_successful = True current_webhook_info = await ptb_app.bot.get_webhook_info() if current_webhook_info and current_webhook_info.url: logger.info(f"Found existing webhook: {current_webhook_info.url}. Attempting to delete...") try: if await ptb_app.bot.delete_webhook(drop_pending_updates=True): logger.info("Existing webhook deleted.") else: logger.warning("Failed delete existing webhook (API returned False). Might be okay.") except Exception as e: logger.warning(f"Could not delete existing webhook: {e}. Proceeding anyway."); await asyncio.sleep(1) space_host = os.environ.get("SPACE_HOST"); webhook_path = "/webhook"; full_webhook_url = None if space_host: protocol = "https"; host = space_host.split('://')[-1]; full_webhook_url = f"{protocol}://{host.rstrip('/')}{webhook_path}" if full_webhook_url: logger.info(f"Setting webhook to: {full_webhook_url}") set_webhook_args = { "url": full_webhook_url, "allowed_updates": Update.ALL_TYPES, "drop_pending_updates": True } if WEBHOOK_SECRET: set_webhook_args["secret_token"] = WEBHOOK_SECRET; logger.info("Webhook secret token is configured.") await asyncio.sleep(1.5) try: await ptb_app.bot.set_webhook(**set_webhook_args) webhook_info = await ptb_app.bot.get_webhook_info() if webhook_info.url == full_webhook_url: logger.info(f"Webhook successfully set and verified: URL='{webhook_info.url}', Secret={bool(WEBHOOK_SECRET)}") else: logger.error(f"Webhook URL mismatch after setting! Expected '{full_webhook_url}', Got '{webhook_info.url}'.") await ptb_app.start(); logger.info("PTB Application started in webhook mode.") except Exception as e: logger.error(f"FATAL: Failed to set webhook: {e}", exc_info=True); raise RuntimeError(f"Failed to set webhook: {e}") from e else: logger.critical("Could not construct webhook URL from SPACE_HOST."); raise RuntimeError("Webhook URL could not be determined.") else: logger.critical("SPACE_HOST environment variable not found. Cannot set webhook automatically."); raise RuntimeError("SPACE_HOST environment variable is missing.") logger.info("ASGI Lifespan: Startup complete."); yield except Exception as startup_err: logger.critical(f"Application startup failed: {startup_err}", exc_info=True) if ptb_app and bot_setup_successful: if ptb_app.running: await ptb_app.stop() await ptb_app.shutdown() raise finally: logger.info("ASGI Lifespan: Shutdown initiated...") if ptb_app and bot_setup_successful: if ptb_app.running: logger.info("Stopping PTB Application..."); await ptb_app.stop() logger.info("Shutting down PTB Application..."); await ptb_app.shutdown(); logger.info("PTB Application shut down.") try: logger.info("Attempting to delete webhook on shutdown...") if ptb_app.bot and hasattr(ptb_app.bot, 'delete_webhook'): if await ptb_app.bot.delete_webhook(drop_pending_updates=True): logger.info("Webhook deleted on shutdown.") else: logger.warning("Failed to delete webhook on shutdown (API returned False).") else: logger.warning("Cannot delete webhook: Bot object unavailable.") except Exception as e: logger.warning(f"Could not delete webhook during shutdown: {e}") else: logger.info("PTB application was not fully initialized or failed during startup. No shutdown actions needed.") logger.info("ASGI Lifespan: Shutdown complete.") async def health_check(request: Request) -> PlainTextResponse: """Simple health check endpoint.""" global GROQ_LLAMA4_MODEL, GEMINI_PRO_EXP_MODEL, GEMINI_FLASH_MODEL, OPENROUTER_DEEPSEEK_MODEL, APIFY_ACTOR_ID global _groq_enabled, _gemini_api_enabled, _openrouter_fallback_enabled global _apify_token_exists, _urltotext_key_exists, _rapidapi_key_exists, SUPADATA_API_KEY bot_status = "Not Initialized"; bot_username = "N/A" if ptb_app: try: if ptb_app.running: bot_info = await ptb_app.bot.get_me(); bot_username = f"@{bot_info.username}" if bot_info and bot_info.username else "Info Fetch Error"; bot_status = "Running" else: bot_status = "Initialized but Not Running" if ptb_app.bot: try: bot_info = await ptb_app.bot.get_me(); bot_username = f"@{bot_info.username}" if bot_info and bot_info.username else "Info Fetch Error" except Exception: bot_username = "Info Fetch Error (Not Running)" except (TimedOut, NetworkError, Exception) as e: bot_status = f"Error checking status: {type(e).__name__}"; logger.warning(f"Health check: Error getting bot info: {e}") else: bot_status = "Not Initialized"; bot_username = "N/A" # <<< Update response string with specific model names >>> return PlainTextResponse( f"TG Bot Summariser - Status: {bot_status} ({bot_username})\n" f"---\n" f"Summarizer Priority (April 2025 - Specific):\n" f"1. Groq API: {GROQ_LLAMA4_MODEL if _groq_enabled else 'DISABLED'}\n" f"2. Gemini API: {GEMINI_PRO_EXP_MODEL if _gemini_api_enabled else 'DISABLED'}\n" f"3. Gemini API: {GEMINI_FLASH_MODEL if _gemini_api_enabled else 'DISABLED'}\n" f"4. OpenRouter API: {OPENROUTER_DEEPSEEK_MODEL if _openrouter_fallback_enabled else 'DISABLED'}\n" f"---\n" f"Content Fetching Status:\n" f"YT Fallback 1 (Supadata): {'Enabled' if SUPADATA_API_KEY else 'Disabled'}\n" f"YT Fallback 2 (Apify Actor): {APIFY_ACTOR_ID if _apify_token_exists else 'DISABLED'}\n" f"Web Scrape 1 (Direct+BS4): Enabled\n" f"Web Scrape 2 (urltotext): {'Enabled' if _urltotext_key_exists else 'Disabled'}\n" f"Web Scrape 3/4 (RapidAPI): {'Enabled' if _rapidapi_key_exists else 'Disabled'}\n" f"Web Scrape 5/6 (Apify Actors): {'Enabled' if _apify_token_exists else 'Disabled'}" ) async def telegram_webhook(request: Request) -> Response: """Handles incoming updates from Telegram.""" global WEBHOOK_SECRET, ptb_app # Ensure ptb_app is accessible if not ptb_app: logger.error("Webhook received but PTB application not initialized."); return PlainTextResponse('Bot not initialized', status_code=503) if not ptb_app.running: logger.warning("Webhook received but PTB application not running."); return PlainTextResponse('Bot not running, cannot process update', status_code=503) if WEBHOOK_SECRET: token_header = request.headers.get("X-Telegram-Bot-Api-Secret-Token") if token_header != WEBHOOK_SECRET: logger.warning(f"Webhook received with invalid secret token. Header: '{token_header}'"); return Response(content="Invalid secret token", status_code=403) try: update_data = await request.json(); update = Update.de_json(data=update_data, bot=ptb_app.bot) logger.debug(f"Processing update_id: {update.update_id} via webhook"); await ptb_app.process_update(update) return Response(status_code=200) except json.JSONDecodeError: logger.error("Webhook received invalid JSON."); return PlainTextResponse('Bad Request: Invalid JSON', status_code=400) except Exception as e: logger.error(f"Error processing webhook update: {e}", exc_info=True); return Response(status_code=200) # Return 200 to TG even if processing fails, to avoid retries # --- Starlette App Definition --- app = Starlette( debug=False, # Keep False for production/Hugging Face lifespan=lifespan, routes=[ Route("/", endpoint=health_check, methods=["GET"]), Route("/webhook", endpoint=telegram_webhook, methods=["POST"]), ] ) logger.info("Starlette ASGI application created with health check and webhook routes.") # --- Development Server (if run directly) --- if __name__ == '__main__': import uvicorn # Need to import google.api_core.exceptions for the explicit check in _call_gemini error handling try: import google.api_core.exceptions except ImportError: pass # It's already handled by _gemini_sdk_available flag logger.warning("Running in development mode using Uvicorn directly - NOT for production!") log_level = os.environ.get("LOGGING_LEVEL", "info").lower() local_port = int(os.environ.get('PORT', 8080)) uvicorn.run( "__main__:app", host='0.0.0.0', port=local_port, log_level=log_level, reload=True )