mirror of
https://github.com/wassname/Open-Assistant.git
synced 2026-07-01 16:50:12 +08:00
Andreas Köpf
14fa08e2e7
* add query_incomplete_rankings() * Add SQL queries for TreeManager task selection * first working version of TreeManager.next_task() * remove old generate_task(), add mandatory_labels to text_labels task * Add ConversationMessage list to Ranking tasks * add more sophisticated sql queries to find extendible trees * add TreeManager.query_extendible_parents() * fix task validation, seed data insertion (reviewed) * provide user for task selection in text-frontend * enter 'growing' state * enter 'aborted_low_grade' state * enter 'ranking' state * check tree 'growing' state upon relpy insertion * exclude user from labeling their own messages (added DEBUG_ALLOW_SELF_LABELING setting) * add DEBUG_ALLOW_SELF_LABELING to docker-compose.yaml * fix ranking submission * add query_tree_ranking_results() * add ranked_message_ids to RankingReactionPayload * fix reply_messages instead of prompt_messages * incorment 'ranking_count' of ranked replies * added logic to check_condition_for_scoring_state * changes to msg_tree_state_machine * pre-commit changes * enter 'ready_for_scoring' state * re-add HF embedding call (lost during merge) * use prepare_conversation() helper for seed-data creation * Partially add user specified task selection Co-authored-by: Daniel Hug <danielpatrickhug@gmail.com>
132 lines
3.3 KiB
Python
132 lines
3.3 KiB
Python
from typing import Literal, Optional
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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 | None
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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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ranked_message_ids: list[UUID]
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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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reply_messages: list[protocol_schema.ConversationMessage]
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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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prompt_messages: list[protocol_schema.ConversationMessage]
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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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mandatory_labels: Optional[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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mandatory_labels: Optional[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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