289 lines
12 KiB
Python
Executable File
289 lines
12 KiB
Python
Executable File
#!/usr/bin/env python
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# -*- coding: utf-8 -*-
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# vim: set fileencoding=utf-8 :
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import sys
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import argcomplete
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import argparse
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from pathlib import Path
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from .utils import terminal_width, print_tag_args, print_chat_hist, ChatType
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from .storage import save_answers, create_chat_hist
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from .api_client import ai, openai_api_key, print_models
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from .configuration import Config
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from .chat import ChatDB
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from .message import Message, MessageFilter, MessageError, Question
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from itertools import zip_longest
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from typing import Any
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default_config = '.config.yaml'
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def tags_completer(prefix: str, parsed_args: Any, **kwargs: Any) -> list[str]:
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config = Config.from_file(parsed_args.config)
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return list(Message.tags_from_dir(Path(config.db), prefix=prefix))
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def create_question_with_hist(args: argparse.Namespace,
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config: Config,
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) -> tuple[ChatType, str, list[str]]:
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"""
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Creates the "AI request", including the question and chat history as determined
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by the specified tags.
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"""
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tags = args.or_tags or []
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xtags = args.exclude_tags or []
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otags = args.output_tags or []
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if not args.source_code_only:
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print_tag_args(tags, xtags, otags)
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question_parts = []
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question_list = args.question if args.question is not None else []
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source_list = args.source if args.source is not None else []
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for question, source in zip_longest(question_list, source_list, fillvalue=None):
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if question is not None and source is not None:
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with open(source) as r:
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question_parts.append(f"{question}\n\n```\n{r.read().strip()}\n```")
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elif question is not None:
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question_parts.append(question)
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elif source is not None:
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with open(source) as r:
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question_parts.append(f"```\n{r.read().strip()}\n```")
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full_question = '\n\n'.join(question_parts)
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chat = create_chat_hist(full_question, tags, xtags, config,
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match_all_tags=True if args.and_tags else False, # FIXME
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with_tags=False,
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with_file=False)
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return chat, full_question, tags
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def tags_cmd(args: argparse.Namespace, config: Config) -> None:
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"""
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Handler for the 'tags' command.
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"""
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chat = ChatDB.from_dir(cache_path=Path('.'),
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db_path=Path(config.db))
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if args.list:
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tags_freq = chat.tags_frequency(args.prefix, args.contain)
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for tag, freq in tags_freq.items():
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print(f"- {tag}: {freq}")
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# TODO: add renaming
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def config_cmd(args: argparse.Namespace, config: Config) -> None:
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"""
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Handler for the 'config' command.
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"""
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if args.list_models:
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print_models()
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elif args.print_model:
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print(config.openai.model)
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elif args.model:
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config.openai.model = args.model
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config.to_file(args.config)
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def question_cmd(args: argparse.Namespace, config: Config) -> None:
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"""
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Handler for the 'question' command.
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"""
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chat = ChatDB.from_dir(cache_path=Path('.'),
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db_path=Path(config.db))
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# if it's a new question, create and store it immediately
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if args.ask or args.create:
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message = Message(question=Question(args.question),
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tags=args.ouput_tags, # FIXME
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ai=args.ai,
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model=args.model)
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chat.add_to_cache([message])
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if args.create:
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return
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elif args.ask:
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pass # TODO
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elif args.repeat:
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pass # TODO
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elif args.process:
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pass # TODO
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def ask_cmd(args: argparse.Namespace, config: Config) -> None:
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"""
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Handler for the 'ask' command.
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"""
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if args.max_tokens:
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config.openai.max_tokens = args.max_tokens
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if args.temperature:
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config.openai.temperature = args.temperature
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if args.model:
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config.openai.model = args.model
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chat, question, tags = create_question_with_hist(args, config)
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print_chat_hist(chat, False, args.source_code_only)
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otags = args.output_tags or []
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answers, usage = ai(chat, config, args.number)
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save_answers(question, answers, tags, otags, config)
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print("-" * terminal_width())
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print(f"Usage: {usage}")
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def hist_cmd(args: argparse.Namespace, config: Config) -> None:
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"""
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Handler for the 'hist' command.
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"""
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mfilter = MessageFilter(tags_or=args.or_tags,
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tags_and=args.and_tags,
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tags_not=args.exclude_tags,
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question_contains=args.question,
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answer_contains=args.answer)
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chat = ChatDB.from_dir(Path('.'),
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Path(config.db),
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mfilter=mfilter)
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chat.print(args.source_code_only,
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args.with_tags,
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args.with_files)
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def print_cmd(args: argparse.Namespace, config: Config) -> None:
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"""
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Handler for the 'print' command.
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"""
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fname = Path(args.file)
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try:
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message = Message.from_file(fname)
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if message:
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print(message.to_str(source_code_only=args.source_code_only))
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except MessageError:
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print(f"File is not a valid message: {args.file}")
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sys.exit(1)
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def create_parser() -> argparse.ArgumentParser:
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parser = argparse.ArgumentParser(
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description="ChatMastermind is a Python application that automates conversation with AI")
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parser.add_argument('-C', '--config', help='Config file name.', default=default_config)
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# subcommand-parser
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cmdparser = parser.add_subparsers(dest='command',
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title='commands',
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description='supported commands',
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required=True)
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# a parent parser for all commands that support tag selection
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tag_parser = argparse.ArgumentParser(add_help=False)
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tag_arg = tag_parser.add_argument('-t', '--or-tags', nargs='+',
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help='List of tag names (one must match)', metavar='OTAGS')
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tag_arg.completer = tags_completer # type: ignore
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atag_arg = tag_parser.add_argument('-k', '--and-tags', nargs='+',
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help='List of tag names (all must match)', metavar='ATAGS')
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atag_arg.completer = tags_completer # type: ignore
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etag_arg = tag_parser.add_argument('-x', '--exclude-tags', nargs='+',
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help='List of tag names to exclude', metavar='XTAGS')
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etag_arg.completer = tags_completer # type: ignore
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otag_arg = tag_parser.add_argument('-o', '--output-tags', nargs='+',
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help='List of output tag names, default is input', metavar='OUTTAGS')
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otag_arg.completer = tags_completer # type: ignore
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# 'question' command parser
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question_cmd_parser = cmdparser.add_parser('question', parents=[tag_parser],
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help="ask, create and process questions.",
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aliases=['q'])
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question_cmd_parser.set_defaults(func=question_cmd)
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question_group = question_cmd_parser.add_mutually_exclusive_group(required=True)
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question_group.add_argument('-a', '--ask', nargs='+', help='Ask a question')
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question_group.add_argument('-c', '--create', nargs='+', help='Create a question')
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question_group.add_argument('-r', '--repeat', nargs='*', help='Repeat a question')
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question_group.add_argument('-p', '--process', nargs='*', help='Process existing questions')
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question_cmd_parser.add_argument('-m', '--max-tokens', help='Max tokens to use', type=int)
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question_cmd_parser.add_argument('-T', '--temperature', help='Temperature to use', type=float)
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question_cmd_parser.add_argument('-A', '--AI', help='AI to use')
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question_cmd_parser.add_argument('-M', '--model', help='Model to use')
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question_cmd_parser.add_argument('-n', '--number', help='Number of answers to produce', type=int,
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default=1)
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question_cmd_parser.add_argument('-s', '--source', nargs='+', help='Source add content of a file to the query')
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question_cmd_parser.add_argument('-S', '--source-code-only', help='Add pure source code to the chat history',
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action='store_true')
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# 'ask' command parser
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ask_cmd_parser = cmdparser.add_parser('ask', parents=[tag_parser],
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help="Ask a question.",
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aliases=['a'])
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ask_cmd_parser.set_defaults(func=ask_cmd)
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ask_cmd_parser.add_argument('-q', '--question', nargs='+', help='Question to ask',
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required=True)
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ask_cmd_parser.add_argument('-m', '--max-tokens', help='Max tokens to use', type=int)
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ask_cmd_parser.add_argument('-T', '--temperature', help='Temperature to use', type=float)
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ask_cmd_parser.add_argument('-M', '--model', help='Model to use')
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ask_cmd_parser.add_argument('-n', '--number', help='Number of answers to produce', type=int,
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default=1)
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ask_cmd_parser.add_argument('-s', '--source', nargs='+', help='Source add content of a file to the query')
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ask_cmd_parser.add_argument('-S', '--source-code-only', help='Add pure source code to the chat history',
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action='store_true')
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# 'hist' command parser
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hist_cmd_parser = cmdparser.add_parser('hist', parents=[tag_parser],
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help="Print chat history.",
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aliases=['h'])
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hist_cmd_parser.set_defaults(func=hist_cmd)
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hist_cmd_parser.add_argument('-w', '--with-tags', help="Print chat history with tags.",
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action='store_true')
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hist_cmd_parser.add_argument('-W', '--with-files', help="Print chat history with filenames.",
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action='store_true')
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hist_cmd_parser.add_argument('-S', '--source-code-only', help='Print only source code',
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action='store_true')
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hist_cmd_parser.add_argument('-A', '--answer', help='Search for answer substring')
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hist_cmd_parser.add_argument('-Q', '--question', help='Search for question substring')
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# 'tags' command parser
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tags_cmd_parser = cmdparser.add_parser('tags',
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help="Manage tags.",
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aliases=['t'])
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tags_cmd_parser.set_defaults(func=tags_cmd)
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tags_group = tags_cmd_parser.add_mutually_exclusive_group(required=True)
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tags_group.add_argument('-l', '--list', help="List all tags and their frequency",
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action='store_true')
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tags_cmd_parser.add_argument('-p', '--prefix', help="Filter tags by prefix")
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tags_cmd_parser.add_argument('-c', '--contain', help="Filter tags by contained substring")
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# 'config' command parser
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config_cmd_parser = cmdparser.add_parser('config',
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help="Manage configuration",
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aliases=['c'])
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config_cmd_parser.set_defaults(func=config_cmd)
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config_group = config_cmd_parser.add_mutually_exclusive_group(required=True)
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config_group.add_argument('-l', '--list-models', help="List all available models",
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action='store_true')
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config_group.add_argument('-m', '--print-model', help="Print the currently configured model",
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action='store_true')
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config_group.add_argument('-M', '--model', help="Set model in the config file")
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# 'print' command parser
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print_cmd_parser = cmdparser.add_parser('print',
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help="Print message files.",
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aliases=['p'])
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print_cmd_parser.set_defaults(func=print_cmd)
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print_cmd_parser.add_argument('-f', '--file', help='File to print', required=True)
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print_cmd_parser.add_argument('-S', '--source-code-only', help='Print source code only (from the answer, if available)',
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action='store_true')
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argcomplete.autocomplete(parser)
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return parser
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def main() -> int:
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parser = create_parser()
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args = parser.parse_args()
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command = parser.parse_args()
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config = Config.from_file(args.config)
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openai_api_key(config.openai.api_key)
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command.func(command, config)
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return 0
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if __name__ == '__main__':
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sys.exit(main())
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