mirror of
https://github.com/wassname/Open-Assistant.git
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e7515fd08e
* improve messages and UX * move log statement Co-authored-by: Andreas Köpf <andreas.koepf@provisio.com>
208 lines
5.1 KiB
Python
208 lines
5.1 KiB
Python
"""All user-facing messages and embeds."""
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from datetime import datetime
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import hikari
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from oasst_shared.schemas import protocol as protocol_schema
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NUMBER_EMOJIS = [":one:", ":two:", ":three:", ":four:", ":five:", ":six:", ":seven:", ":eight:", ":nine:", ":ten:"]
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NL = "\n"
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###
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# Reusable 'components'
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###
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def _h1(text: str) -> str:
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return f"\n:small_blue_diamond: __**{text}**__ :small_blue_diamond:"
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def _h2(text: str) -> str:
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return f"__**{text}**__"
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def _h3(text: str) -> str:
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return f"__{text}__"
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def _writing_prompt(text: str) -> str:
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return f":pencil: _{text}_"
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def _ranking_prompt(text: str) -> str:
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return f":trophy: _{text}_"
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def _response_prompt(text: str) -> str:
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return f":speech_balloon: _{text}_"
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def _summarize_prompt(text: str) -> str:
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return f":notepad_spiral: _{text}_"
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def _user(text: str | None) -> str:
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return f"""\
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:person_red_hair: {_h3("User")}:{f"{NL}> **{text}**" if text is not None else ""}
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"""
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def _assistant(text: str | None) -> str:
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return f"""\
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:robot: {_h3("Assistant")}:{f"{NL}> {text}" if text is not None else ""}
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"""
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def _make_ordered_list(items: list[str]) -> list[str]:
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return [f"{num} {item}" for num, item in zip(NUMBER_EMOJIS, items)]
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def _ordered_list(items: list[str]) -> str:
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return "\n\n".join(_make_ordered_list(items))
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def _conversation(conv: protocol_schema.Conversation) -> str:
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return "\n".join([_assistant(msg.text) if msg.is_assistant else _user(msg.text) for msg in conv.messages])
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def _hint(hint: str | None) -> str:
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return f"{NL}Hint: {hint}" if hint else ""
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###
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# Messages
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###
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def initial_prompt_message(task: protocol_schema.InitialPromptTask) -> str:
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"""Creates the message that gets sent to users when they request an `initial_prompt` task."""
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return f"""\
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{_h1("INITIAL PROMPT")}
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{_writing_prompt("Please provide an initial prompt to the assistant.")}
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{_hint(task.hint)}
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"""
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def rank_initial_prompts_message(task: protocol_schema.RankInitialPromptsTask) -> str:
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"""Creates the message that gets sent to users when they request a `rank_initial_prompts` task."""
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return f"""\
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{_h1("RANK INITIAL PROMPTS")}
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{_ranking_prompt("Reply with the numbers of best to worst prompts separated by commas (example: '4,1,3,2')")}
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{_ordered_list(task.prompts)}
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"""
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def rank_prompter_reply_message(task: protocol_schema.RankPrompterRepliesTask) -> str:
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"""Creates the message that gets sent to users when they request a `rank_prompter_replies` task."""
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return f"""\
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{_h1("RANK PROMPTER REPLIES")}
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{_ranking_prompt("Reply with the numbers of best to worst replies separated by commas (example: '4,1,3,2')")}
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{_conversation(task.conversation)}
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{_user(None)}
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{_ordered_list(task.replies)}
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"""
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def rank_assistant_reply_message(task: protocol_schema.RankAssistantRepliesTask) -> str:
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"""Creates the message that gets sent to users when they request a `rank_assistant_replies` task."""
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return f"""\
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{_h1("RANK ASSISTANT REPLIES")}
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{_ranking_prompt("Reply with the numbers of best to worst replies separated by commas (example: '4,1,3,2')")}
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{_conversation(task.conversation)}
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{_assistant(None)}
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{_ordered_list(task.replies)}
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"""
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def prompter_reply_message(task: protocol_schema.PrompterReplyTask) -> str:
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"""Creates the message that gets sent to users when they request a `prompter_reply` task."""
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return f"""\
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{_h1("PROMPTER REPLY")}
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{_response_prompt("Please provide a reply to the assistant.")}
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{_conversation(task.conversation)}
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{_hint(task.hint)}
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"""
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def assistant_reply_message(task: protocol_schema.AssistantReplyTask) -> str:
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"""Creates the message that gets sent to users when they request a `assistant_reply` task."""
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return f"""\
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{_h1("ASSISTANT REPLY")}
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{_response_prompt("Please provide a reply to the assistant.")}
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{_conversation(task.conversation)}
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"""
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def confirm_text_response_message(content: str) -> str:
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return f"""\
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{_h2("CONFIRM RESPONSE")}
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> {content}
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"""
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def confirm_ranking_response_message(content: str, items: list[str]) -> str:
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user_rankings = [int(r) for r in content.replace(" ", "").split(",")]
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original_list = _make_ordered_list(items)
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user_ranked_list = "\n\n".join([original_list[r - 1] for r in user_rankings])
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return f"""\
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{_h2("CONFIRM RESPONSE")}
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{user_ranked_list}
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"""
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###
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# Embeds
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###
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def task_complete_embed(task: protocol_schema.Task, mention: str) -> hikari.Embed:
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return (
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hikari.Embed(
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title="Task Completion",
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description=f"`{task.type}` completed by {mention}",
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color=hikari.Color(0x00FF00),
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timestamp=datetime.now().astimezone(),
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)
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.add_field("Total Tasks", "0", inline=True)
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.add_field("Server Ranking", "0/0", inline=True)
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.add_field("Global Ranking", "0/0", inline=True)
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.set_footer(f"Task ID: {task.id}")
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)
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def invalid_user_input_embed(error_message: str) -> hikari.Embed:
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return hikari.Embed(
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title="Invalid User Input",
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description=error_message,
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color=hikari.Color(0xFF0000),
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timestamp=datetime.now().astimezone(),
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)
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def plain_embed(text: str) -> hikari.Embed:
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return hikari.Embed(color=0x36393F, description=text)
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