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cc72c01c0e
* fix: improve knowledge base upload error messages * fix: deduplicate knowledge base upload logs * fix: handle type errors in kb embedding validation
47 lines
1.6 KiB
Python
47 lines
1.6 KiB
Python
from unittest.mock import AsyncMock
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import pytest
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from astrbot.core.db.vec_db.faiss_impl.vec_db import FaissVecDB
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from astrbot.core.exceptions import KnowledgeBaseUploadError
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@pytest.mark.asyncio
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async def test_insert_batch_skips_empty_contents() -> None:
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vec_db = FaissVecDB.__new__(FaissVecDB)
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vec_db.embedding_provider = AsyncMock()
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vec_db.document_storage = AsyncMock()
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vec_db.embedding_storage = AsyncMock()
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result = await FaissVecDB.insert_batch(vec_db, [])
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assert result == []
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vec_db.embedding_provider.get_embeddings_batch.assert_not_awaited()
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vec_db.document_storage.insert_documents_batch.assert_not_awaited()
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vec_db.embedding_storage.insert_batch.assert_not_awaited()
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@pytest.mark.asyncio
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async def test_insert_batch_raises_friendly_error_for_embedding_count_mismatch() -> (
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None
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):
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vec_db = FaissVecDB.__new__(FaissVecDB)
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vec_db.embedding_provider = AsyncMock()
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vec_db.embedding_provider.get_embeddings_batch.return_value = [[0.1, 0.2]]
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vec_db.document_storage = AsyncMock()
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vec_db.embedding_storage = AsyncMock()
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vec_db.embedding_storage.dimension = 2
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with pytest.raises(KnowledgeBaseUploadError) as exc_info:
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await FaissVecDB.insert_batch(
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vec_db,
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contents=["chunk-1", "chunk-2"],
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metadatas=[{}, {}],
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ids=["doc-1", "doc-2"],
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)
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assert "向量化失败" in str(exc_info.value)
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assert "期望 2，实际 1" in str(exc_info.value)
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vec_db.document_storage.insert_documents_batch.assert_not_awaited()
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vec_db.embedding_storage.insert_batch.assert_not_awaited()
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