content: from __future__ import annotations
  
  import argparse
  import asyncio
  import logging
  import os
  from pathlib import Path
  from typing import Any
  
  from aviary.utils import MultipleChoiceQuestion
  from pydantic_settings import CliSettingsSource
  from rich.logging import RichHandler
  
  from paperqa.settings import ParsingSettings, Settings, get_settings
  from paperqa.utils import pqa_directory, run_or_ensure, setup_default_logs
  from paperqa.version import __version__
  
  from .main import agent_query, index_search
  from .models import AnswerResponse
  from .search import SearchIndex, get_directory_index
  
  logger = logging.getLogger(__name__)
  
  LOG_VERBOSITY_MAP: dict[int, dict[str, int]] = {
      0: {
          "paperqa.agents": logging.INFO,
          "paperqa.agents.helpers": logging.WARNING,
          "paperqa.agents.main": logging.WARNING,
          "paperqa.agents.main.agent_callers": logging.INFO,
          "paperqa.agents.models": logging.WARNING,
          "paperqa.agents.search": logging.INFO,
          "anthropic": logging.WARNING,
          "openai": logging.WARNING,
          "httpcore": logging.WARNING,
          "httpx": logging.WARNING,
          "LiteLLM": logging.WARNING,
          "LiteLLM Router": logging.WARNING,
          "LiteLLM Proxy": logging.WARNING,
      }
  }
  LOG_VERBOSITY_MAP[1] = LOG_VERBOSITY_MAP[0] | {
      "paperqa.models": logging.INFO,
      "paperqa.agents.main": logging.INFO,
  }
  LOG_VERBOSITY_MAP[2] = LOG_VERBOSITY_MAP[1] | {
      "paperqa.models": logging.DEBUG,
      "paperqa.agents.helpers": logging.DEBUG,
      "paperqa.agents.main": logging.DEBUG,
      "paperqa.agents.main.agent_callers": logging.DEBUG,
      "paperqa.agents.search": logging.DEBUG,
      "LiteLLM": logging.INFO,
      "LiteLLM Router": logging.INFO,
      "LiteLLM Proxy": logging.INFO,
  }
  LOG_VERBOSITY_MAP[3] = LOG_VERBOSITY_MAP[2] | {
      "LiteLLM": logging.DEBUG,  # <-- every single LLM call
  }
  _MAX_PRESET_VERBOSITY: int = max(k for k in LOG_VERBOSITY_MAP)
  
  _PAPERQA_PKG_ROOT_LOGGER = logging.getLogger(__name__.split(".", maxsplit=1)[0])
  _INITIATED_FROM_CLI = False
  
  
  def is_running_under_cli() -> bool:
      """Check if the current Python process comes from the CLI."""
      return _INITIATED_FROM_CLI
  
  
  def set_up_rich_handler(install: bool = True) -> RichHandler:
      """Add a RichHandler to the paper-qa "root" logger, and return it."""
      rich_handler = RichHandler(
          rich_tracebacks=True, markup=True, show_path=False, show_level=False
      )
      rich_handler.setFormatter(logging.Formatter("%(message)s", datefmt="[%X]"))
      if install and not any(
          isinstance(h, RichHandler) for h in _PAPERQA_PKG_ROOT_LOGGER.handlers
      ):
          _PAPERQA_PKG_ROOT_LOGGER.addHandler(rich_handler)
      return rich_handler
  
  
  def configure_log_verbosity(verbosity: int = 0) -> None:
      key = min(verbosity, _MAX_PRESET_VERBOSITY)
      for logger_name, logger_ in logging.Logger.manager.loggerDict.items():
          if isinstance(logger_, logging.Logger) and (
              log_level := LOG_VERBOSITY_MAP.get(key, {}).get(logger_name)
          ):
              logger_.setLevel(log_level)
  
  
  def configure_cli_logging(verbosity: int | Settings = 0) -> None:
      """Suppress loquacious loggers according to the settings' verbosity level."""
      setup_default_logs()
      set_up_rich_handler()
      if isinstance(verbosity, Settings):
          verbosity.parsing.configure_pdf_parser()
          verbosity = verbosity.verbosity
      else:
          ParsingSettings.model_fields["configure_pdf_parser"].default()
      configure_log_verbosity(verbosity)
      if verbosity > 0:
          print(f"PaperQA version: {__version__}")
  
  
  def ask(
      query: str | MultipleChoiceQuestion, settings: Settings
  ) -> AnswerResponse | asyncio.Task[AnswerResponse]:
      """Query PaperQA via an agent."""
      configure_cli_logging(settings)
      return run_or_ensure(
          coro=agent_query(query, settings, agent_type=settings.agent.agent_type)
      )
  
  
  def search_query(
      query: str | MultipleChoiceQuestion,
      index_name: str,
      settings: Settings,
  ) -> (
      list[tuple[AnswerResponse, str] | tuple[Any, str]]
      | asyncio.Task[list[tuple[AnswerResponse, str] | tuple[Any, str]]]
  ):
      """Search using a pre-built PaperQA index."""
      configure_cli_logging(settings)
      if index_name == "default":
          index_name = settings.get_index_name()
      return run_or_ensure(
          coro=index_search(
              query if isinstance(query, str) else query.question_prompt,
              index_name=index_name,
              index_directory=settings.agent.index.index_directory,
          )
      )
  
  
  def build_index(
      index_name: str | None = None,
      directory: str | os.PathLike | None = None,
      settings: Settings | None = None,
  ) -> SearchIndex | asyncio.Task[SearchIndex]:
      """Build a PaperQA search index, this will also happen automatically upon using `ask`."""
      settings = get_settings(settings)
      if index_name == "default":
          settings.agent.index.name = None
      elif isinstance(index_name, str):
          settings.agent.index.name = index_name
      configure_cli_logging(settings)
      if directory:
          settings.agent.index.paper_directory = directory
      return run_or_ensure(coro=get_directory_index(settings=settings))
  
  
  def save_settings(settings: Settings, settings_path: str | os.PathLike) -> None:
      """Save the settings to a file."""
      configure_cli_logging(settings)
      # check if this could be interpreted at an absolute path
      if os.path.isabs(settings_path):
          full_settings_path = os.path.expanduser(settings_path)
      else:
          full_settings_path = os.path.join(pqa_directory("settings"), settings_path)
          if not full_settings_path.endswith(".json"):
              full_settings_path += ".json"
  
      is_overwrite = os.path.exists(full_settings_path)
  
      Path(full_settings_path).write_text(settings.model_dump_json(indent=2))
  
      if is_overwrite:
          logger.info(f"Settings overwritten to: {full_settings_path}")
      else:
          logger.info(f"Settings saved to: {full_settings_path}")
  
  
  def main() -> None:
  
      parser = argparse.ArgumentParser(description="PaperQA CLI")
      parser.add_argument(
          "--settings",
          "-s",
          default="high_quality",
          help=(
              "Named settings to use. Will search in local, pqa directory, and package"
              " last"
          ),
      )
      parser.add_argument(
          "--index", "-i", default="default", help="Index name to search or create"
      )
  
      subparsers = parser.add_subparsers(
          title="commands", dest="command", description="Available commands"
      )
  
      subparsers.add_parser("view", help="View the chosen settings")
  
      save_parser = subparsers.add_parser("save", help="View the chosen settings")
      save_parser.add_argument(
          "location", help="Location for new settings (name or an absolute path)"
      )
  
      ask_parser = subparsers.add_parser(
          "ask", help="Ask a question of current index (based on settings)"
      )
      ask_parser.add_argument("query", help="Question to ask")
  
      search_parser = subparsers.add_parser(
          "search",
          help=(
              "Search the index specified by --index."
              " Pass `--index answers` to search previous answers."
          ),
      )
      search_parser.add_argument("query", help="Keyword search")
  
      build_parser = subparsers.add_parser(
          "index", help="Build a search index from given directory"
      )
      build_parser.add_argument("directory", help="Directory to build index from")
  
      # Create CliSettingsSource instance
      cli_settings = CliSettingsSource[argparse.ArgumentParser](
          Settings, root_parser=parser
      )
  
      # Now use argparse to parse the remaining arguments
      args, remaining_args = parser.parse_known_args()
      # Parse arguments using CliSettingsSource
      settings = Settings.from_name(
          args.settings, cli_source=cli_settings(args=remaining_args)
      )
  
      match args.command:
          case "ask":
              ask(args.query, settings)
          case "view":
              configure_cli_logging(settings)
              logger.info(f"Viewing: {args.settings}")
              logger.info(settings.model_dump_json(indent=2))
          case "save":
              save_settings(settings, args.location)
          case "search":
              search_query(args.query, args.index, settings)
          case "index":
              build_index(args.index, args.directory, settings)
          case _:
              commands = ", ".join({"view", "ask", "search", "index"})
              brief_help = f"\nRun with commands: {{{commands}}}\n\n"
              brief_help += "For more information, run with --help"
              print(brief_help)
  
  
  if __name__ == "__main__":
      _INITIATED_FROM_CLI = True
      main()
  