mirror of
https://github.com/wassname/Open-Assistant.git
synced 2026-07-02 17:00:28 +08:00
Oliver Stanley
69bc799cd9
* Implement label task for initial prompts and replies * Resolve formatting * Include missing argument * Modify text_labels API to match new model, update DB schema accordingly * Send valid labels as part of label tasks * Send correctly formatted valid_labels list * Fix request format * Fix request details for text-frontend reply label task * Include message_id in tasks * Address review comments * Fix alembic tree
129 lines
3.1 KiB
Python
129 lines
3.1 KiB
Python
from typing import Literal
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from uuid import UUID
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from oasst_backend.models.payload_column_type import payload_type
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from oasst_shared.schemas import protocol as protocol_schema
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from pydantic import BaseModel
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@payload_type
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class TaskPayload(BaseModel):
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type: str
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@payload_type
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class SummarizationStoryPayload(TaskPayload):
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type: Literal["summarize_story"] = "summarize_story"
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story: str
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@payload_type
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class RateSummaryPayload(TaskPayload):
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type: Literal["rate_summary"] = "rate_summary"
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full_text: str
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summary: str
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scale: protocol_schema.RatingScale
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@payload_type
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class InitialPromptPayload(TaskPayload):
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type: Literal["initial_prompt"] = "initial_prompt"
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hint: str
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@payload_type
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class PrompterReplyPayload(TaskPayload):
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type: Literal["prompter_reply"] = "prompter_reply"
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conversation: protocol_schema.Conversation
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hint: str | None
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@payload_type
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class AssistantReplyPayload(TaskPayload):
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type: Literal["assistant_reply"] = "assistant_reply"
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conversation: protocol_schema.Conversation
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@payload_type
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class MessagePayload(BaseModel):
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text: str
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@payload_type
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class ReactionPayload(BaseModel):
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type: str
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@payload_type
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class RatingReactionPayload(ReactionPayload):
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type: Literal["message_rating"] = "message_rating"
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rating: str
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@payload_type
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class RankingReactionPayload(ReactionPayload):
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type: Literal["message_ranking"] = "message_ranking"
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ranking: list[int]
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@payload_type
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class RankConversationRepliesPayload(TaskPayload):
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conversation: protocol_schema.Conversation # the conversation so far
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replies: list[str]
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@payload_type
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class RankInitialPromptsPayload(TaskPayload):
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"""A task to rank a set of initial prompts."""
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type: Literal["rank_initial_prompts"] = "rank_initial_prompts"
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prompts: list[str]
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@payload_type
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class RankPrompterRepliesPayload(RankConversationRepliesPayload):
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"""A task to rank a set of prompter replies to a conversation."""
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type: Literal["rank_prompter_replies"] = "rank_prompter_replies"
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@payload_type
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class RankAssistantRepliesPayload(RankConversationRepliesPayload):
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"""A task to rank a set of assistant replies to a conversation."""
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type: Literal["rank_assistant_replies"] = "rank_assistant_replies"
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@payload_type
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class LabelInitialPromptPayload(TaskPayload):
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"""A task to label an initial prompt."""
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type: Literal["label_initial_prompt"] = "label_initial_prompt"
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message_id: UUID
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prompt: str
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valid_labels: list[str]
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@payload_type
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class LabelConversationReplyPayload(TaskPayload):
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"""A task to label a conversation reply."""
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message_id: UUID
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conversation: protocol_schema.Conversation
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reply: str
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valid_labels: list[str]
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@payload_type
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class LabelPrompterReplyPayload(LabelConversationReplyPayload):
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"""A task to label a prompter reply."""
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type: Literal["label_prompter_reply"] = "label_prompter_reply"
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@payload_type
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class LabelAssistantReplyPayload(LabelConversationReplyPayload):
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"""A task to label an assistant reply."""
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type: Literal["label_assistant_reply"] = "label_assistant_reply"
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