248 lines
10 KiB
Python
Executable File

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