91 lines
3.3 KiB
Python
91 lines
3.3 KiB
Python
import argparse
|
|
from pathlib import Path
|
|
from itertools import zip_longest
|
|
from ..configuration import Config
|
|
from ..chat import ChatDB
|
|
from ..message import Message, Question, source_code
|
|
from ..ai_factory import create_ai
|
|
from ..ai import AI, AIResponse
|
|
|
|
|
|
def create_message(chat: ChatDB, args: argparse.Namespace) -> Message:
|
|
"""
|
|
Creates (and writes) a new message from the given arguments.
|
|
"""
|
|
question_parts = []
|
|
question_list = args.ask if args.ask is not None else []
|
|
text_files = args.source_text if args.source_text is not None else []
|
|
code_files = args.source_code if args.source_code is not None else []
|
|
|
|
for question, source, code in zip_longest(question_list, text_files, code_files, fillvalue=None):
|
|
if question is not None and len(question.strip()) > 0:
|
|
question_parts.append(question)
|
|
if source is not None and len(source) > 0:
|
|
with open(source) as r:
|
|
content = r.read().strip()
|
|
if len(content) > 0:
|
|
question_parts.append(content)
|
|
if code is not None and len(code) > 0:
|
|
with open(code) as r:
|
|
content = r.read().strip()
|
|
if len(content) == 0:
|
|
continue
|
|
# try to extract and add source code
|
|
code_parts = source_code(content, include_delims=True)
|
|
if len(code_parts) > 0:
|
|
question_parts += code_parts
|
|
# if there's none, add the whole file
|
|
else:
|
|
question_parts.append(f"```\n{content}\n```")
|
|
|
|
full_question = '\n\n'.join(question_parts)
|
|
|
|
message = Message(question=Question(full_question),
|
|
tags=args.output_tags, # FIXME
|
|
ai=args.AI,
|
|
model=args.model)
|
|
chat.add_to_cache([message])
|
|
return message
|
|
|
|
|
|
def question_cmd(args: argparse.Namespace, config: Config) -> None:
|
|
"""
|
|
Handler for the 'question' command.
|
|
"""
|
|
chat = ChatDB.from_dir(cache_path=Path('.'),
|
|
db_path=Path(config.db))
|
|
# if it's a new question, create and store it immediately
|
|
if args.ask or args.create:
|
|
message = create_message(chat, args)
|
|
if args.create:
|
|
return
|
|
|
|
# create the correct AI instance
|
|
ai: AI = create_ai(args, config)
|
|
if args.ask:
|
|
ai.print()
|
|
chat.print(paged=False)
|
|
response: AIResponse = ai.request(message,
|
|
chat,
|
|
args.num_answers, # FIXME
|
|
args.output_tags) # FIXME
|
|
chat.update_messages([response.messages[0]])
|
|
chat.add_to_cache(response.messages[1:])
|
|
for idx, msg in enumerate(response.messages):
|
|
print(f"=== ANSWER {idx+1} ===")
|
|
print(msg.answer)
|
|
if response.tokens:
|
|
print("===============")
|
|
print(response.tokens)
|
|
elif args.repeat:
|
|
lmessage = chat.latest_message()
|
|
assert lmessage
|
|
# TODO: repeat either the last question or the
|
|
# one(s) given in 'args.repeat' (overwrite
|
|
# existing ones if 'args.overwrite' is True)
|
|
pass
|
|
elif args.process:
|
|
# TODO: process either all questions without an
|
|
# answer or the one(s) given in 'args.process'
|
|
pass
|