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Signed-off-by: junjie.jiang <[email protected]>
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requests | ||
minio | ||
azure-storage-blob | ||
milvus_lite>=2.4.0,<2.5.0 |
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import os | ||
from tempfile import TemporaryDirectory | ||
import numpy as np | ||
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from pymilvus.milvus_client import MilvusClient | ||
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class TestMilvusLite: | ||
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def test_milvus_lite(self): | ||
with TemporaryDirectory(dir='./') as root: | ||
db_file = os.path.join(root, 'test.db') | ||
client = MilvusClient(db_file) | ||
client.create_collection( | ||
collection_name="demo_collection", | ||
dimension=3 | ||
) | ||
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# Text strings to search from. | ||
docs = [ | ||
"Artificial intelligence was founded as an academic discipline in 1956.", | ||
"Alan Turing was the first person to conduct substantial research in AI.", | ||
"Born in Maida Vale, London, Turing was raised in southern England.", | ||
] | ||
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vectors = [[np.random.uniform(-1, 1) for _ in range(3) ] for _ in range(len(docs))] | ||
data = [{"id": i, "vector": vectors[i], "text": docs[i], "subject": "history"} for i in range(len(vectors))] | ||
res = client.insert( | ||
collection_name="demo_collection", | ||
data=data | ||
) | ||
assert res["insert_count"] == 3 | ||
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res = client.search( | ||
collection_name="demo_collection", | ||
data=[vectors[0]], | ||
filter="subject == 'history'", | ||
limit=2, | ||
output_fields=["text", "subject"], | ||
) | ||
assert len(res[0]) == 2 | ||
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# a query that retrieves all entities matching filter expressions. | ||
res = client.query( | ||
collection_name="demo_collection", | ||
filter="subject == 'history'", | ||
output_fields=["text", "subject"], | ||
) | ||
assert len(res) == 3 | ||
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# delete | ||
res = client.delete( | ||
collection_name="demo_collection", | ||
filter="subject == 'history'", | ||
) | ||
assert len(res) == 3 |