Files
Open-Assistant/backend/app/models/db_payload.py
T
2022-12-16 22:17:13 +01:00

95 lines
2.2 KiB
Python

# -*- coding: utf-8 -*-
from typing import Literal
from app.models.payload_column_type import payload_type
from app.schemas import protocol as protocol_schema
from pydantic import BaseModel
@payload_type
class TaskPayload(BaseModel):
type: str
@payload_type
class SummarizationStoryPayload(TaskPayload):
type: Literal["summarize_story"] = "summarize_story"
story: str
@payload_type
class RateSummaryPayload(TaskPayload):
type: Literal["rate_summary"] = "rate_summary"
full_text: str
summary: str
scale: protocol_schema.RatingScale
@payload_type
class InitialPromptPayload(TaskPayload):
type: Literal["initial_prompt"] = "initial_prompt"
hint: str
@payload_type
class UserReplyPayload(TaskPayload):
type: Literal["user_reply"] = "user_reply"
conversation: protocol_schema.Conversation
hint: str | None
@payload_type
class AssistantReplyPayload(TaskPayload):
type: Literal["assistant_reply"] = "assistant_reply"
conversation: protocol_schema.Conversation
@payload_type
class PostPayload(BaseModel):
text: str
@payload_type
class ReactionPayload(BaseModel):
type: str
@payload_type
class RatingReactionPayload(ReactionPayload):
type: Literal["post_rating"] = "post_rating"
rating: str
@payload_type
class RankingReactionPayload(ReactionPayload):
type: Literal["post_ranking"] = "post_ranking"
ranking: list[int]
@payload_type
class RankConversationRepliesPayload(TaskPayload):
conversation: protocol_schema.Conversation # the conversation so far
replies: list[str]
@payload_type
class RankInitialPromptsPayload(TaskPayload):
"""A task to rank a set of initial prompts."""
type: Literal["rank_initial_prompts"] = "rank_initial_prompts"
prompts: list[str]
@payload_type
class RankUserRepliesPayload(RankConversationRepliesPayload):
"""A task to rank a set of user replies to a conversation."""
type: Literal["rank_user_replies"] = "rank_user_replies"
@payload_type
class RankAssistantRepliesPayload(RankConversationRepliesPayload):
"""A task to rank a set of assistant replies to a conversation."""
type: Literal["rank_assistant_replies"] = "rank_assistant_replies"