#!/usr/bin/env python3 """Base client infrastructure for NotebookLM API. This module contains the BaseClient class which provides all HTTP/RPC infrastructure for interacting with the NotebookLM internal API. Domain-specific operations (notebooks, sources, studio, etc.) are provided by mixin classes. Internal API. See CLAUDE.md for full documentation. """ import json import logging import os import random import re import threading import urllib.parse from typing import Any import httpx from notebooklm_tools.utils.config import get_base_url from . import constants from .data_types import ConversationTurn from .errors import ClientAuthenticationError as AuthenticationError from .errors import ResourceExhaustedError, RPCError from .retry import DEFAULT_BASE_DELAY, DEFAULT_MAX_DELAY, DEFAULT_MAX_RETRIES, is_retryable_error from .utils import ( RPC_NAMES, _decode_request_body, _format_debug_json, _parse_url_params, ) # Configure logger (API internals only logged at DEBUG level, usually disabled) logger = logging.getLogger("notebooklm_mcp.api") logger.setLevel(logging.WARNING) # Suppress internal API logs by default def _extract_user_message(detail_data: Any, _depth: int = 0) -> str: """Recursively extract human-readable strings from a protobuf detail payload. UserDisplayableError payloads contain user-facing text buried in nested lists. This walks the structure depth-first and returns all non-empty strings joined by '; '. Capped at 20 levels to guard against malformed responses. """ if _depth > 20 or detail_data is None: return "" if isinstance(detail_data, str): stripped = detail_data.strip() return stripped if stripped else "" if isinstance(detail_data, list): parts: list[str] = [] for item in detail_data: found = _extract_user_message(item, _depth + 1) if found: parts.append(found) return "; ".join(parts) return "" # Timeout configuration (seconds) DEFAULT_TIMEOUT = 30.0 # Default for most operations SOURCE_ADD_TIMEOUT = 120.0 # Extended timeout for all source operations class BaseClient: """Base client providing HTTP/RPC infrastructure for NotebookLM API. This class handles: - Authentication (cookies, CSRF tokens, session management) - HTTP client lifecycle - RPC request/response protocol (batchexecute) - Automatic authentication recovery Domain-specific operations are provided by mixin classes that inherit from this base class. """ @classmethod def _get_base_url(cls) -> str: return get_base_url() @classmethod def _get_batchexecute_url(cls) -> str: return f"{cls._get_base_url()}/_/LabsTailwindUi/data/batchexecute" @classmethod def _get_upload_url(cls) -> str: return f"{cls._get_base_url()}/upload/_/" # Keep class-level attributes for backward compatibility with code that # reads them directly (e.g. tests). These are the defaults; runtime code # should use the _get_*() methods which respect NOTEBOOKLM_BASE_URL. BASE_URL = "https://notebooklm.google.com" BATCHEXECUTE_URL = f"{BASE_URL}/_/LabsTailwindUi/data/batchexecute" UPLOAD_URL = "https://notebooklm.google.com/upload/_/" _BL_FALLBACK = "boq_labs-tailwind-frontend_20260108.06_p0" # ========================================================================= # Known RPC IDs # ========================================================================= # Notebook operations RPC_LIST_NOTEBOOKS = "wXbhsf" RPC_GET_NOTEBOOK = "rLM1Ne" RPC_CREATE_NOTEBOOK = "CCqFvf" RPC_RENAME_NOTEBOOK = "s0tc2d" RPC_DELETE_NOTEBOOK = "WWINqb" # Source operations RPC_ADD_SOURCE = "izAoDd" # Used for URL, text, and Drive sources (legacy) RPC_ADD_SOURCE_V2 = "ozz5Z" # URL source addition (new rollout, issue #121) RPC_ADD_SOURCE_FILE = "o4cbdc" # Register file for resumable upload RPC_GET_SOURCE = "hizoJc" # Get source details RPC_CHECK_FRESHNESS = "yR9Yof" # Check if Drive source is stale RPC_SYNC_DRIVE = "FLmJqe" # Sync Drive source with latest content RPC_DELETE_SOURCE = "tGMBJ" # Delete a source from notebook RPC_RENAME_SOURCE = "b7Wfje" # Rename a source # Misc RPC_GET_CONVERSATIONS = "hPTbtc" RPC_DELETE_CHAT_HISTORY = "J7Gthc" RPC_PREFERENCES = "hT54vc" RPC_SETTINGS = "ZwVcOc" RPC_GET_SUMMARY = "VfAZjd" # Get notebook summary and suggested report topics RPC_GET_SOURCE_GUIDE = "tr032e" # Get source guide (AI summary + keyword chips) # Research RPCs (source discovery) RPC_START_FAST_RESEARCH = "Ljjv0c" # Start Fast Research (Web or Drive) RPC_START_DEEP_RESEARCH = "QA9ei" # Start Deep Research (Web only) RPC_POLL_RESEARCH = "e3bVqc" # Poll research results RPC_IMPORT_RESEARCH = "LBwxtb" # Import research sources # Studio content RPCs RPC_CREATE_STUDIO = "R7cb6c" # Create Audio or Video Overview RPC_POLL_STUDIO = "gArtLc" # Poll for studio content status RPC_DELETE_STUDIO = "V5N4be" # Delete Audio or Video Overview RPC_RENAME_ARTIFACT = "rc3d8d" # Rename any studio artifact (Audio, Video, etc.) RPC_GET_INTERACTIVE_HTML = "v9rmvd" # Fetch quiz/flashcard HTML content RPC_REVISE_SLIDE_DECK = "KmcKPe" # Revise existing slide deck with per-slide instructions # Mind map RPCs RPC_GENERATE_MIND_MAP = "yyryJe" # Generate mind map JSON from sources RPC_SAVE_MIND_MAP = "CYK0Xb" # Save generated mind map to notebook RPC_LIST_MIND_MAPS = "cFji9" # List existing mind maps RPC_DELETE_MIND_MAP = "AH0mwd" # Delete a mind map # Notes RPCs (share RPC IDs with mind maps, differ by parameters) RPC_CREATE_NOTE = "CYK0Xb" # Create note from content (same as SAVE_MIND_MAP) RPC_GET_NOTES = "cFji9" # List notes and mind maps (same as LIST_MIND_MAPS) RPC_UPDATE_NOTE = "cYAfTb" # Update note content/title RPC_DELETE_NOTE = "AH0mwd" # Delete note permanently (same as DELETE_MIND_MAP) # Label RPCs (source organization) RPC_LABEL_MANAGE = "agX4Bc" # Auto-label sources / create label / list labels RPC_LABEL_MUTATE = "le8sX" # Rename label / set emoji / move source to label RPC_LABEL_DELETE = "GyzE7e" # Delete one or more labels # Sharing RPCs RPC_SHARE_NOTEBOOK = "QDyure" # Set sharing settings (visibility, collaborators) RPC_GET_SHARE_STATUS = "JFMDGd" # Get current share status # Export RPCs RPC_EXPORT_ARTIFACT = "Krh3pd" # Export to Google Docs/Sheets # ========================================================================= # API Constants (re-exported from constants module) # ========================================================================= # Ownership OWNERSHIP_MINE = constants.OWNERSHIP_MINE OWNERSHIP_SHARED = constants.OWNERSHIP_SHARED # Research RESEARCH_SOURCE_WEB = constants.RESEARCH_SOURCE_WEB RESEARCH_SOURCE_DRIVE = constants.RESEARCH_SOURCE_DRIVE RESEARCH_MODE_FAST = constants.RESEARCH_MODE_FAST RESEARCH_MODE_DEEP = constants.RESEARCH_MODE_DEEP RESULT_TYPE_WEB = constants.RESULT_TYPE_WEB RESULT_TYPE_GOOGLE_DOC = constants.RESULT_TYPE_GOOGLE_DOC RESULT_TYPE_GOOGLE_SLIDES = constants.RESULT_TYPE_GOOGLE_SLIDES RESULT_TYPE_DEEP_REPORT = constants.RESULT_TYPE_DEEP_REPORT RESULT_TYPE_GOOGLE_SHEETS = constants.RESULT_TYPE_GOOGLE_SHEETS # Studio content types STUDIO_TYPE_AUDIO = constants.STUDIO_TYPE_AUDIO STUDIO_TYPE_VIDEO = constants.STUDIO_TYPE_VIDEO STUDIO_TYPE_REPORT = constants.STUDIO_TYPE_REPORT STUDIO_TYPE_FLASHCARDS = constants.STUDIO_TYPE_FLASHCARDS STUDIO_TYPE_INFOGRAPHIC = constants.STUDIO_TYPE_INFOGRAPHIC STUDIO_TYPE_SLIDE_DECK = constants.STUDIO_TYPE_SLIDE_DECK STUDIO_TYPE_DATA_TABLE = constants.STUDIO_TYPE_DATA_TABLE # Audio formats and lengths AUDIO_FORMAT_DEEP_DIVE = constants.AUDIO_FORMAT_DEEP_DIVE AUDIO_FORMAT_BRIEF = constants.AUDIO_FORMAT_BRIEF AUDIO_FORMAT_CRITIQUE = constants.AUDIO_FORMAT_CRITIQUE AUDIO_FORMAT_DEBATE = constants.AUDIO_FORMAT_DEBATE AUDIO_LENGTH_SHORT = constants.AUDIO_LENGTH_SHORT AUDIO_LENGTH_DEFAULT = constants.AUDIO_LENGTH_DEFAULT AUDIO_LENGTH_LONG = constants.AUDIO_LENGTH_LONG # Video formats and styles VIDEO_FORMAT_EXPLAINER = constants.VIDEO_FORMAT_EXPLAINER VIDEO_FORMAT_BRIEF = constants.VIDEO_FORMAT_BRIEF VIDEO_STYLE_AUTO_SELECT = constants.VIDEO_STYLE_AUTO_SELECT VIDEO_STYLE_CUSTOM = constants.VIDEO_STYLE_CUSTOM VIDEO_STYLE_CLASSIC = constants.VIDEO_STYLE_CLASSIC VIDEO_STYLE_WHITEBOARD = constants.VIDEO_STYLE_WHITEBOARD VIDEO_STYLE_KAWAII = constants.VIDEO_STYLE_KAWAII VIDEO_STYLE_ANIME = constants.VIDEO_STYLE_ANIME VIDEO_STYLE_WATERCOLOR = constants.VIDEO_STYLE_WATERCOLOR VIDEO_STYLE_RETRO_PRINT = constants.VIDEO_STYLE_RETRO_PRINT VIDEO_STYLE_HERITAGE = constants.VIDEO_STYLE_HERITAGE VIDEO_STYLE_PAPER_CRAFT = constants.VIDEO_STYLE_PAPER_CRAFT # Report formats REPORT_FORMAT_BRIEFING_DOC = constants.REPORT_FORMAT_BRIEFING_DOC REPORT_FORMAT_STUDY_GUIDE = constants.REPORT_FORMAT_STUDY_GUIDE REPORT_FORMAT_BLOG_POST = constants.REPORT_FORMAT_BLOG_POST REPORT_FORMAT_CUSTOM = constants.REPORT_FORMAT_CUSTOM # Flashcard settings FLASHCARD_DIFFICULTY_EASY = constants.FLASHCARD_DIFFICULTY_EASY FLASHCARD_DIFFICULTY_MEDIUM = constants.FLASHCARD_DIFFICULTY_MEDIUM FLASHCARD_DIFFICULTY_HARD = constants.FLASHCARD_DIFFICULTY_HARD FLASHCARD_COUNT_DEFAULT = constants.FLASHCARD_COUNT_DEFAULT # Infographic settings INFOGRAPHIC_ORIENTATION_LANDSCAPE = constants.INFOGRAPHIC_ORIENTATION_LANDSCAPE INFOGRAPHIC_ORIENTATION_PORTRAIT = constants.INFOGRAPHIC_ORIENTATION_PORTRAIT INFOGRAPHIC_ORIENTATION_SQUARE = constants.INFOGRAPHIC_ORIENTATION_SQUARE INFOGRAPHIC_DETAIL_CONCISE = constants.INFOGRAPHIC_DETAIL_CONCISE INFOGRAPHIC_DETAIL_STANDARD = constants.INFOGRAPHIC_DETAIL_STANDARD INFOGRAPHIC_DETAIL_DETAILED = constants.INFOGRAPHIC_DETAIL_DETAILED # Slide deck settings SLIDE_DECK_FORMAT_DETAILED = constants.SLIDE_DECK_FORMAT_DETAILED SLIDE_DECK_FORMAT_PRESENTER = constants.SLIDE_DECK_FORMAT_PRESENTER SLIDE_DECK_LENGTH_SHORT = constants.SLIDE_DECK_LENGTH_SHORT SLIDE_DECK_LENGTH_DEFAULT = constants.SLIDE_DECK_LENGTH_DEFAULT # Chat configuration CHAT_GOAL_DEFAULT = constants.CHAT_GOAL_DEFAULT CHAT_GOAL_CUSTOM = constants.CHAT_GOAL_CUSTOM CHAT_GOAL_LEARNING_GUIDE = constants.CHAT_GOAL_LEARNING_GUIDE CHAT_RESPONSE_DEFAULT = constants.CHAT_RESPONSE_DEFAULT CHAT_RESPONSE_LONGER = constants.CHAT_RESPONSE_LONGER CHAT_RESPONSE_SHORTER = constants.CHAT_RESPONSE_SHORTER # Source types SOURCE_TYPE_GOOGLE_DOCS = constants.SOURCE_TYPE_GOOGLE_DOCS SOURCE_TYPE_GOOGLE_OTHER = constants.SOURCE_TYPE_GOOGLE_OTHER SOURCE_TYPE_PASTED_TEXT = constants.SOURCE_TYPE_PASTED_TEXT SOURCE_TYPE_AUDIO = constants.SOURCE_TYPE_AUDIO # Sharing SHARE_ROLE_OWNER = constants.SHARE_ROLE_OWNER SHARE_ROLE_EDITOR = constants.SHARE_ROLE_EDITOR SHARE_ROLE_VIEWER = constants.SHARE_ROLE_VIEWER SHARE_ACCESS_RESTRICTED = constants.SHARE_ACCESS_RESTRICTED SHARE_ACCESS_PUBLIC = constants.SHARE_ACCESS_PUBLIC # Export types EXPORT_TYPE_DOCS = constants.EXPORT_TYPE_DOCS EXPORT_TYPE_SHEETS = constants.EXPORT_TYPE_SHEETS # Query endpoint (different from batchexecute - streaming gRPC-style) QUERY_ENDPOINT = "/_/LabsTailwindUi/data/google.internal.labs.tailwind.orchestration.v1.LabsTailwindOrchestrationService/GenerateFreeFormStreamed" # Headers required for page fetch (must look like a browser navigation). # We use a generic Linux Chrome UA and omit sec-ch-ua* Client Hints intentionally: # those headers embed OS/platform fingerprints (e.g. "macOS") that can cause Google # to reject requests when the session cookies were captured on a different OS (e.g. # Windows). Client Hints are optional — omitting them is safe and platform-neutral. _PAGE_FETCH_HEADERS = { "User-Agent": "Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/124.0.0.0 Safari/537.36", "Accept": "text/html,application/xhtml+xml,application/xml;q=0.9,image/avif,image/webp,image/apng,*/*;q=0.8", "Accept-Language": "en-US,en;q=0.9", "Sec-Fetch-Dest": "document", "Sec-Fetch-Mode": "navigate", "Sec-Fetch-Site": "none", "Sec-Fetch-User": "?1", } # ========================================================================= # Lifecycle Methods # ========================================================================= def __init__( self, cookies: dict[str, str] | list[dict], csrf_token: str = "", session_id: str = "", build_label: str = "", ): """ Initialize the base client. Args: cookies: Dict of Google auth cookies or List of cookie dicts (from CDP) csrf_token: CSRF token (optional - will be auto-extracted from page if not provided) session_id: Session ID (optional - will be auto-extracted from page if not provided) build_label: Build label / bl param (optional - auto-extracted from page if not provided) """ import time as _time self.cookies = cookies self.csrf_token = csrf_token self._client: httpx.Client | None = None self._session_id = session_id self._bl = build_label self._created_at: float = _time.time() # Conversation cache for follow-up queries # Key: conversation_id, Value: list of ConversationTurn objects self._conversation_cache: dict[str, list[ConversationTurn]] = {} # Request counter for _reqid parameter (required for query endpoint) self._reqid_counter = random.randint(100000, 999999) # RPC version cache for URL source addition (issue #121). # Google is rolling out a new RPC (ozz5Z) to replace izAoDd for URL sources. # This caches which version works for this session to avoid double HTTP calls. # Values: None (unresolved), "v1" (izAoDd), "v2" (ozz5Z) self._source_rpc_version: str | None = None # Lock for thread-safe access to mutable instance state. # FastMCP dispatches sync tool functions into a thread pool, so # concurrent MCP tool calls share this singleton client instance. # The lock protects: _client, _reqid_counter, _conversation_cache, # _source_rpc_version, csrf_token, _session_id, cookies. # It is never held during network I/O. self._state_lock = threading.Lock() # Only refresh CSRF token if not provided - tokens actually last hours/days, not minutes # The retry logic in _call_rpc() handles expired tokens gracefully if not self.csrf_token: self._refresh_auth_tokens() def __enter__(self): return self def __exit__(self, exc_type, exc_val, exc_tb): self.close() def close(self): """Close the underlying HTTP client.""" if self._client: self._client.close() self._client = None # ========================================================================= # Cookie Handling # ========================================================================= def _get_httpx_cookies(self) -> httpx.Cookies: """Convert cookies to httpx.Cookies object (preserving domains). Duplicates cookies for both .google.com and .googleusercontent.com to ensure authentication works across redirect domains. """ cookies = httpx.Cookies() # Determine if we have raw list[dict] or simple dict[str, str] if isinstance(self.cookies, list): for cookie in self.cookies: name = cookie.get("name") value = cookie.get("value") domain = cookie.get("domain") path = cookie.get("path", "/") if name and value: # Set cookie for original domain cookies.set(name, value, domain=domain, path=path) # Also duplicate for .googleusercontent.com if original is .google.com # This is required for artifact downloads that redirect to googleusercontent.com if domain == ".google.com": cookies.set(name, value, domain=".googleusercontent.com", path=path) else: # Fallback for simple dict - set for both domains for name, value in self.cookies.items(): cookies.set(name, value, domain=".google.com") cookies.set(name, value, domain=".googleusercontent.com") return cookies def _get_cookie_header(self) -> str: """Get Cookie header string (backward compatibility).""" if isinstance(self.cookies, list): # Flatten to simple dict for header simple_cookies = { c["name"]: c["value"] for c in self.cookies if "name" in c and "value" in c } return "; ".join(f"{k}={v}" for k, v in simple_cookies.items()) else: return "; ".join(f"{k}={v}" for k, v in self.cookies.items()) # ========================================================================= # HTTP Client Management # ========================================================================= def _get_client(self) -> httpx.Client: """Get or create HTTP client (thread-safe).""" if self._client is not None: return self._client with self._state_lock: # Double-checked locking: re-check inside lock if self._client is not None: return self._client # Use cookies object directly cookies = self._get_httpx_cookies() client = httpx.Client( cookies=cookies, headers={ "Content-Type": "application/x-www-form-urlencoded;charset=UTF-8", "Origin": self._get_base_url(), "Referer": f"{self._get_base_url()}/", "X-Same-Domain": "1", "User-Agent": "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36", }, timeout=30.0, ) # Explicitly set headers if needed, though constructor handles most if self.csrf_token: client.headers["X-Goog-Csrf-Token"] = self.csrf_token self._client = client return self._client def _get_async_client(self) -> httpx.AsyncClient: """Get an async client for streaming operations.""" cookies = self._get_httpx_cookies() client = httpx.AsyncClient( cookies=cookies, headers={ "Content-Type": "application/x-www-form-urlencoded;charset=UTF-8", "Origin": self._get_base_url(), "Referer": f"{self._get_base_url()}/", "X-Same-Domain": "1", }, timeout=30.0, ) if self.csrf_token: client.headers["X-Goog-Csrf-Token"] = self.csrf_token return client # ========================================================================= # RPC Request/Response Protocol # ========================================================================= def _build_request_body(self, rpc_id: str, params: Any) -> str: """Build the batchexecute request body.""" # The params need to be JSON-encoded, then wrapped in the RPC structure # Use separators to match Chrome's compact format (no spaces) params_json = json.dumps(params, separators=(",", ":"), ensure_ascii=False) f_req = [[[rpc_id, params_json, None, "generic"]]] f_req_json = json.dumps(f_req, separators=(",", ":"), ensure_ascii=False) # URL encode (safe='' encodes all characters including /) body_parts = [f"f.req={urllib.parse.quote(f_req_json, safe='')}"] if self.csrf_token: body_parts.append(f"at={urllib.parse.quote(self.csrf_token, safe='')}") # Add trailing & to match NotebookLM's format return "&".join(body_parts) + "&" def _build_url(self, rpc_id: str, source_path: str = "/") -> str: """Build the batchexecute URL with query params.""" params = { "rpcids": rpc_id, "source-path": source_path, "bl": os.environ.get("NOTEBOOKLM_BL") or getattr(self, "_bl", "") or self._BL_FALLBACK, "hl": os.environ.get("NOTEBOOKLM_HL", "en"), "rt": "c", } if self._session_id: params["f.sid"] = self._session_id query = urllib.parse.urlencode(params) return f"{self._get_batchexecute_url()}?{query}" def _parse_response(self, response_text: str) -> Any: """Parse the batchexecute response.""" # Response format: # )]}' # # # Remove the anti-XSSI prefix if response_text.startswith(")]}'"): response_text = response_text[4:] lines = response_text.strip().split("\n") # Parse each chunk results = [] i = 0 while i < len(lines): line = lines[i].strip() if not line: i += 1 continue # Try to parse as byte count (the value itself is unused — only used # to confirm the line is a numeric chunk-size marker) try: int(line) # Next line(s) should be the JSON payload i += 1 if i < len(lines): json_str = lines[i] try: data = json.loads(json_str) results.append(data) except json.JSONDecodeError: pass i += 1 except ValueError: # Not a byte count, try to parse as JSON try: data = json.loads(line) results.append(data) except json.JSONDecodeError: pass i += 1 return results def _extract_rpc_result(self, parsed_response: list, rpc_id: str) -> Any: """Extract the result for a specific RPC ID from the parsed response. Checks for structured error payloads in item[5]. Known error layout: ["wrb.fr", rpc_id, result_or_null, ..., error_list, "generic"] where error_list = [error_code, null, [[detail_type_url, [sub_codes...]]]] """ for chunk in parsed_response: if isinstance(chunk, list): for item in chunk: if isinstance(item, list) and len(item) >= 3: # noqa: SIM102 if item[0] == "wrb.fr" and item[1] == rpc_id: # Check for structured error in item[5] if len(item) > 5 and isinstance(item[5], list) and item[5]: error_code = item[5][0] if isinstance(item[5][0], int) else None if error_code is not None: # Auth error (code 16) — existing behavior if error_code == 16: raise AuthenticationError( "RPC Error 16: Authentication expired" ) # All other error codes — extract detail type detail_type = "" detail_data = None if len(item[5]) > 2 and isinstance(item[5][2], list): for detail in item[5][2]: if isinstance(detail, list) and len(detail) > 0: detail_type = ( detail[0] if isinstance(detail[0], str) else "" ) detail_data = detail[1] if len(detail) > 1 else None break # Provide fallback names for common gRPC status codes # if the backend didn't provide a specific detail_type friendly_type = detail_type if not friendly_type: grpc_codes = { 3: "INVALID_ARGUMENT", 5: "NOT_FOUND", 7: "PERMISSION_DENIED", 8: "RESOURCE_EXHAUSTED", 16: "UNAUTHENTICATED", } friendly_type = grpc_codes.get(error_code, "unknown") msg = f"API error (code {error_code}): {friendly_type}" if "UserDisplayableError" in detail_type: user_msg = _extract_user_message(detail_data) if user_msg: msg = f"API error (code {error_code}): {user_msg}" if error_code == 8: raise ResourceExhaustedError( msg, detail_type=detail_type, detail_data=detail_data, ) raise RPCError( msg, error_code=error_code, detail_type=detail_type, detail_data=detail_data, ) result_str = item[2] if isinstance(result_str, str): try: return json.loads(result_str) except json.JSONDecodeError: return result_str return result_str return None def _call_rpc( self, rpc_id: str, params: Any, path: str = "/", timeout: float | None = None, _retry: bool = False, _deep_retry: bool = False, _server_retry: int = 0, ) -> Any: """Execute an RPC call and return the extracted result. Includes automatic retry on auth failures with three-layer recovery: 1. Refresh CSRF/session tokens (fast, handles token expiry) 2. Reload cookies from disk (handles external re-authentication) 3. Run headless auth (auto-refresh if Chrome profile has saved login) """ client = self._get_client() body = self._build_request_body(rpc_id, params) url = self._build_url(rpc_id, path) # Enhanced debug logging if logger.isEnabledFor(logging.DEBUG): method_name = RPC_NAMES.get(rpc_id, "unknown") logger.debug("=" * 70) logger.debug(f"RPC Call: {rpc_id} ({method_name})") logger.debug("-" * 70) # Parse and display URL params url_params = _parse_url_params(url) logger.debug("URL Parameters:") for key, value in url_params.items(): logger.debug(f" {key}: {value}") # Decode and display request body logger.debug("-" * 70) logger.debug("Request Params:") decoded_body = _decode_request_body(body) if "params" in decoded_body: logger.debug(_format_debug_json(decoded_body["params"])) elif "f.req" in decoded_body: logger.debug(_format_debug_json(decoded_body["f.req"])) else: logger.debug(_format_debug_json(decoded_body)) try: if timeout: response = client.post(url, content=body, timeout=timeout) else: response = client.post(url, content=body) # Log response before raise_for_status (so we can see error responses) if logger.isEnabledFor(logging.DEBUG): logger.debug("-" * 70) logger.debug(f"Response Status: {response.status_code}") logger.debug( "Raw response (first 2000 chars): %s", response.text[:2000] if response.text else "(empty)", ) logger.debug("=" * 70) response.raise_for_status() # Check for RPC-level errors (soft auth failure) parsed = self._parse_response(response.text) result = self._extract_rpc_result(parsed, rpc_id) # Enhanced debug logging for extracted result if logger.isEnabledFor(logging.DEBUG): logger.debug("-" * 70) logger.debug("Response Data:") logger.debug(_format_debug_json(result)) logger.debug("=" * 70) return result except httpx.HTTPStatusError as e: # Retry on transient server errors (5xx, 429) with exponential backoff if is_retryable_error(e): import time as _time status = e.response.status_code # Use _server_retry to track retries across recursive calls if _server_retry < DEFAULT_MAX_RETRIES: delay = min(DEFAULT_BASE_DELAY * (2**_server_retry), DEFAULT_MAX_DELAY) logger.warning( f"Server error {status} on attempt {_server_retry + 1}/{DEFAULT_MAX_RETRIES + 1}, " f"retrying in {delay:.1f}s..." ) _time.sleep(delay) return self._call_rpc( rpc_id, params, path, timeout, _retry, _deep_retry, _server_retry=_server_retry + 1, ) # Exhausted retries, re-raise raise # Check for auth failures (400/401/403 HTTP) # 400 is included because Google returns "400 Bad Request" when # the CSRF token (at= body param) is expired or invalid, rather # than a 401/403. Our Layer-1 recovery (_refresh_auth_tokens) # re-extracts a fresh CSRF token from the page, which fixes this. is_http_auth = e.response.status_code in (400, 401, 403) if not is_http_auth: # Not a retryable or auth error, re-raise immediately raise # Fall through to auth recovery below pass except AuthenticationError: # RPC Error 16 - fall through to auth recovery below pass # -- Auth recovery (reached only for 401/403 HTTP or RPC Error 16) -- # Layer 1: Refresh CSRF/session tokens (first retry only) if not _retry: try: self._refresh_auth_tokens() with self._state_lock: self._client = None return self._call_rpc(rpc_id, params, path, timeout, _retry=True) except ValueError: # CSRF refresh failed (cookies expired) - continue to layer 2 pass # Layer 2 & 3: Reload from disk or run headless auth (deep retry) if not _deep_retry and self._try_reload_or_headless_auth(): with self._state_lock: self._client = None return self._call_rpc(rpc_id, params, path, timeout, _retry=True, _deep_retry=True) # All recovery attempts failed msg = ( "Authentication expired. Run 'nlm login' in your terminal to re-authenticate. " "MCP users: the server should auto-detect the new credentials; " "if not, call the refresh_auth tool." ) if os.environ.get("NOTEBOOKLM_COOKIES"): msg += ( " NOTE: NOTEBOOKLM_COOKIES is set in your environment and overrides " "all other auth sources. Update it in your MCP config file and restart." ) raise AuthenticationError(msg) # ========================================================================= # Authentication Management # ========================================================================= def _refresh_auth_tokens(self) -> None: """ Refresh CSRF token and session ID by fetching the NotebookLM homepage. This method fetches the NotebookLM page using the stored cookies and extracts the CSRF token (SNlM0e) and session ID (FdrFJe) from the HTML. Raises: ValueError: If cookies are expired (redirected to login) or tokens not found """ # Use httpx.Cookies for proper domain filtering cookies = self._get_httpx_cookies() # Must use browser-like headers for page fetch headers = self._PAGE_FETCH_HEADERS.copy() # Use a temporary client for the page fetch with httpx.Client( cookies=cookies, headers=headers, follow_redirects=True, timeout=15.0 ) as client: response = client.get(f"{self._get_base_url()}/") # Check if redirected to login (cookies expired) if "accounts.google.com" in str(response.url): raise ValueError( "Authentication expired. AI assistants: Run `nlm login` via Bash/terminal tool to re-authenticate automatically. Users: Run `nlm login` in your terminal." ) if response.status_code != 200: raise ValueError(f"Failed to fetch NotebookLM page: HTTP {response.status_code}") html = response.text # Extract CSRF token — try multiple known key names in case Google changes # the primary key (SNlM0e). Falls back to 'at=' and 'FdrFJe' patterns. from .auth import extract_csrf_from_page_source csrf_token = extract_csrf_from_page_source(html) if not csrf_token: # Save HTML for debugging from notebooklm_tools.utils.config import get_storage_dir debug_dir = get_storage_dir() debug_path = debug_dir / "debug_page.html" debug_path.write_text(html, encoding="utf-8") import contextlib as _ctxlib with _ctxlib.suppress(OSError): debug_path.chmod(0o600) raise ValueError( f"Could not extract CSRF token from page. " f"Page saved to {debug_path} for debugging. " f"The page structure may have changed." ) # Extract session ID (FdrFJe) - optional but helps sid_match = re.search(r'"FdrFJe":"([^"]+)"', html) # Extract build label (cfb2h) - keeps bl param current bl_match = re.search(r'"cfb2h":"([^"]+)"', html) with self._state_lock: self.csrf_token = csrf_token if sid_match: self._session_id = sid_match.group(1) if bl_match: self._bl = bl_match.group(1) # Cache the extracted tokens to avoid re-fetching the page on next request self._update_cached_tokens() def _update_cached_tokens(self) -> None: """Update the cached auth tokens with newly extracted CSRF token and session ID. This avoids re-fetching the NotebookLM page on every client initialization, significantly improving performance for subsequent API calls. """ try: import time from .auth import AuthTokens, load_cached_tokens, save_tokens_to_cache # Load existing cache or create new cached = load_cached_tokens() if cached: # Update existing cache with new tokens cached.csrf_token = self.csrf_token cached.session_id = self._session_id if self._bl: cached.build_label = self._bl else: # Create new cache entry cached = AuthTokens( cookies=self.cookies, csrf_token=self.csrf_token, session_id=self._session_id, build_label=self._bl, extracted_at=time.time(), ) save_tokens_to_cache(cached, silent=True) except Exception as e: # Non-critical: caching is an optimization, but log at debug level logger.debug(f"Failed to update auth token cache: {e}") def _try_reload_or_headless_auth(self) -> bool: """Try to recover authentication by reloading from disk or running headless auth. Returns True if new valid tokens were obtained, False otherwise. """ from .auth import load_cached_tokens # Layer 2: Reload cookies from disk (profile or legacy auth.json). # load_cached_tokens() checks the default profile first, then falls # back to the legacy auth.json file. We no longer gate on # auth.json existence so that users who only have profile-based # credentials (from `nlm login`) are not skipped. cached = load_cached_tokens() if cached and cached.cookies: # Always reload from disk when auth fails - current tokens are known-bad # The cached tokens may be fresher (user ran nlm login) # or the same, but worth retrying with a fresh CSRF token extraction with self._state_lock: self.cookies = cached.cookies self.csrf_token = "" # Force re-extraction of CSRF token self._session_id = "" # Force re-extraction of session ID return True # Try headless auth if Chrome profile exists try: from notebooklm_tools.utils.cdp import run_headless_auth tokens = run_headless_auth() if tokens: with self._state_lock: self.cookies = tokens.cookies self.csrf_token = tokens.csrf_token self._session_id = tokens.session_id return True except Exception as e: logger.debug(f"Headless auth failed: {e}") return False