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05fe92a541
Co-authored-by: autofix-ci[bot] <114827586+autofix-ci[bot]@users.noreply.github.com> Co-authored-by: gemini-code-assist[bot] <176961590+gemini-code-assist[bot]@users.noreply.github.com>
90 lines
3.2 KiB
Python
90 lines
3.2 KiB
Python
import logging
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from typing import Any
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from flask_restx import marshal
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from pydantic import BaseModel, Field
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from werkzeug.exceptions import Forbidden, InternalServerError, NotFound
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import services
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from controllers.console.app.error import (
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CompletionRequestError,
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ProviderModelCurrentlyNotSupportError,
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ProviderNotInitializeError,
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ProviderQuotaExceededError,
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)
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from controllers.console.datasets.error import DatasetNotInitializedError
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from core.errors.error import (
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LLMBadRequestError,
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ModelCurrentlyNotSupportError,
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ProviderTokenNotInitError,
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QuotaExceededError,
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)
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from core.model_runtime.errors.invoke import InvokeError
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from fields.hit_testing_fields import hit_testing_record_fields
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from libs.login import current_user
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from models.account import Account
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from services.dataset_service import DatasetService
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from services.hit_testing_service import HitTestingService
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logger = logging.getLogger(__name__)
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class HitTestingPayload(BaseModel):
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query: str = Field(max_length=250)
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retrieval_model: dict[str, Any] | None = None
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external_retrieval_model: dict[str, Any] | None = None
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class DatasetsHitTestingBase:
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@staticmethod
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def get_and_validate_dataset(dataset_id: str):
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assert isinstance(current_user, Account)
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dataset = DatasetService.get_dataset(dataset_id)
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if dataset is None:
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raise NotFound("Dataset not found.")
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try:
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DatasetService.check_dataset_permission(dataset, current_user)
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except services.errors.account.NoPermissionError as e:
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raise Forbidden(str(e))
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return dataset
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@staticmethod
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def hit_testing_args_check(args: dict[str, Any]):
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HitTestingService.hit_testing_args_check(args)
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@staticmethod
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def perform_hit_testing(dataset, args):
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assert isinstance(current_user, Account)
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try:
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response = HitTestingService.retrieve(
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dataset=dataset,
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query=args["query"],
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account=current_user,
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retrieval_model=args["retrieval_model"],
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external_retrieval_model=args["external_retrieval_model"],
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limit=10,
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)
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return {"query": response["query"], "records": marshal(response["records"], hit_testing_record_fields)}
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except services.errors.index.IndexNotInitializedError:
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raise DatasetNotInitializedError()
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except ProviderTokenNotInitError as ex:
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raise ProviderNotInitializeError(ex.description)
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except QuotaExceededError:
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raise ProviderQuotaExceededError()
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except ModelCurrentlyNotSupportError:
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raise ProviderModelCurrentlyNotSupportError()
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except LLMBadRequestError:
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raise ProviderNotInitializeError(
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"No Embedding Model or Reranking Model available. Please configure a valid provider "
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"in the Settings -> Model Provider."
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)
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except InvokeError as e:
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raise CompletionRequestError(e.description)
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except ValueError as e:
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raise ValueError(str(e))
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except Exception as e:
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logger.exception("Hit testing failed.")
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raise InternalServerError(str(e))
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