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140 lines
4.1 KiB
Python
140 lines
4.1 KiB
Python
from __future__ import annotations
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from datetime import datetime
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from typing import TypeAlias
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from uuid import uuid4
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from pydantic import BaseModel, ConfigDict, Field, field_validator
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from core.file import File
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from fields.conversation_fields import AgentThought, JSONValue, MessageFile
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JSONValueType: TypeAlias = JSONValue
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class ResponseModel(BaseModel):
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model_config = ConfigDict(from_attributes=True, extra="ignore")
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class SimpleFeedback(ResponseModel):
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rating: str | None = None
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class RetrieverResource(ResponseModel):
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id: str = Field(default_factory=lambda: str(uuid4()))
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message_id: str = Field(default_factory=lambda: str(uuid4()))
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position: int
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dataset_id: str | None = None
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dataset_name: str | None = None
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document_id: str | None = None
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document_name: str | None = None
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data_source_type: str | None = None
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segment_id: str | None = None
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score: float | None = None
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hit_count: int | None = None
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word_count: int | None = None
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segment_position: int | None = None
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index_node_hash: str | None = None
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content: str | None = None
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summary: str | None = None
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created_at: int | None = None
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@field_validator("created_at", mode="before")
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@classmethod
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def _normalize_created_at(cls, value: datetime | int | None) -> int | None:
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if isinstance(value, datetime):
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return to_timestamp(value)
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return value
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class MessageListItem(ResponseModel):
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id: str
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conversation_id: str
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parent_message_id: str | None = None
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inputs: dict[str, JSONValueType]
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query: str
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answer: str = Field(validation_alias="re_sign_file_url_answer")
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feedback: SimpleFeedback | None = Field(default=None, validation_alias="user_feedback")
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retriever_resources: list[RetrieverResource]
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created_at: int | None = None
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agent_thoughts: list[AgentThought]
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message_files: list[MessageFile]
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status: str
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error: str | None = None
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@field_validator("inputs", mode="before")
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@classmethod
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def _normalize_inputs(cls, value: JSONValueType) -> JSONValueType:
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return format_files_contained(value)
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@field_validator("created_at", mode="before")
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@classmethod
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def _normalize_created_at(cls, value: datetime | int | None) -> int | None:
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if isinstance(value, datetime):
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return to_timestamp(value)
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return value
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class WebMessageListItem(MessageListItem):
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metadata: JSONValueType | None = Field(default=None, validation_alias="message_metadata_dict")
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class MessageInfiniteScrollPagination(ResponseModel):
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limit: int
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has_more: bool
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data: list[MessageListItem]
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class WebMessageInfiniteScrollPagination(ResponseModel):
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limit: int
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has_more: bool
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data: list[WebMessageListItem]
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class SavedMessageItem(ResponseModel):
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id: str
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inputs: dict[str, JSONValueType]
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query: str
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answer: str
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message_files: list[MessageFile]
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feedback: SimpleFeedback | None = Field(default=None, validation_alias="user_feedback")
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created_at: int | None = None
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@field_validator("inputs", mode="before")
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@classmethod
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def _normalize_inputs(cls, value: JSONValueType) -> JSONValueType:
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return format_files_contained(value)
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@field_validator("created_at", mode="before")
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@classmethod
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def _normalize_created_at(cls, value: datetime | int | None) -> int | None:
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if isinstance(value, datetime):
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return to_timestamp(value)
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return value
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class SavedMessageInfiniteScrollPagination(ResponseModel):
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limit: int
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has_more: bool
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data: list[SavedMessageItem]
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class SuggestedQuestionsResponse(ResponseModel):
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data: list[str]
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def to_timestamp(value: datetime | None) -> int | None:
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if value is None:
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return None
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return int(value.timestamp())
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def format_files_contained(value: JSONValueType) -> JSONValueType:
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if isinstance(value, File):
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return value.model_dump()
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if isinstance(value, dict):
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return {k: format_files_contained(v) for k, v in value.items()}
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if isinstance(value, list):
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return [format_files_contained(v) for v in value]
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return value
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