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eb292baa69
Co-authored-by: Claude Opus 4.8 (1M context) <noreply@anthropic.com> Co-authored-by: shamoon <shamoon@users.noreply.github.com>
36 lines
1.1 KiB
Python
36 lines
1.1 KiB
Python
from pathlib import Path
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import pytest
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import pytest_mock
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from llama_index.core.base.embeddings.base import BaseEmbedding
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from pytest_django.fixtures import SettingsWrapper
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@pytest.fixture
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def temp_llm_index_dir(tmp_path: Path, settings: SettingsWrapper) -> Path:
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settings.LLM_INDEX_DIR = tmp_path
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settings.LLM_INDEX_LOCK = tmp_path / "index.lock"
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return tmp_path
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class FakeEmbedding(BaseEmbedding):
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async def _aget_query_embedding(self, query: str) -> list[float]:
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return [0.1] * self.get_query_embedding_dim()
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def _get_query_embedding(self, query: str) -> list[float]:
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return [0.1] * self.get_query_embedding_dim()
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def _get_text_embedding(self, text: str) -> list[float]:
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return [0.1] * self.get_query_embedding_dim()
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def get_query_embedding_dim(self) -> int:
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return 384
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@pytest.fixture
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def mock_embed_model(mocker: pytest_mock.MockerFixture) -> pytest_mock.MockType:
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fake = FakeEmbedding()
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mocker.patch("paperless_ai.indexing.get_embedding_model", return_value=fake)
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mocker.patch("paperless_ai.embedding.get_embedding_model", return_value=fake)
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return fake
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