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* vector: boto3 s3vectors conformance harness test/vectors spins a mini cluster, an s3 gateway with -port.vectors and -vectors.grpc, and a weed-vector-server, then exercises the AWS client end to end: bucket and index lifecycle, put/get/list/delete vectors, and a filtered query asserting distances and metadata. Generated with [Devin](https://devin.ai) Co-Authored-By: Devin <158243242+devin-ai-integration[bot]@users.noreply.github.com> * ci: run the s3vectors conformance subset An e2e job in rust-vector-tests: builds weed and weed-vector-server, then runs test/vectors against a mini cluster plus the vectors gateway. The workflow now also watches vector.proto, its stubs, and test/vectors. Generated with [Devin](https://devin.ai) Co-Authored-By: Devin <158243242+devin-ai-integration[bot]@users.noreply.github.com> * ci: fix e2e protoc and codespell findings The e2e job needed the same vendored-protoc step as the unit-test job — lance's build scripts locate protoc themselves. Codespell flags the AWS `$nin` operator literal and the `lits` variable: exempt `nin` in .codespellrc like the existing word exemptions, rename the variable, and fold the negation into the IN/NOT IN symbol directly. Generated with [Devin](https://devin.ai) Co-Authored-By: Devin <158243242+devin-ai-integration[bot]@users.noreply.github.com> * s3: classify catalog errors by code, not message text * s3: drop the implicit vector namespace on vector-bucket delete * test: point the vector engine at the gateway lance port * test: bind the vectors gateway listeners to loopback * test: make the filter and distance assertions load-bearing * test: rebuild the harness binaries on every run * ci: fix the vectors end-to-end job * ci: run the vector tests on gateway and command changes --------- Co-authored-by: Devin <158243242+devin-ai-integration[bot]@users.noreply.github.com>
82 lines
2.8 KiB
Python
82 lines
2.8 KiB
Python
"""Boto3 conformance subset for the S3 Vectors API gateway.
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Run via `make test` — a mini cluster, an s3 gateway with -port.vectors, and a
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weed-vector-server are up by then.
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"""
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import boto3
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import pytest
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ENDPOINT = "http://127.0.0.1:9201"
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BUCKET = "vectors-bucket"
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INDEX = "idx"
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@pytest.fixture(scope="module")
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def vectors():
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return boto3.client(
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"s3vectors",
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endpoint_url=ENDPOINT,
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aws_access_key_id="test",
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aws_secret_access_key="test",
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region_name="us-east-1",
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)
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def test_vector_lifecycle(vectors):
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vectors.create_vector_bucket(vectorBucketName=BUCKET)
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buckets = [b["vectorBucketName"] for b in vectors.list_vector_buckets()["vectorBuckets"]]
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assert BUCKET in buckets
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vectors.create_index(
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vectorBucketName=BUCKET,
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indexName=INDEX,
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dataType="float32",
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dimension=4,
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distanceMetric="euclidean",
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)
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idx = vectors.get_index(vectorBucketName=BUCKET, indexName=INDEX)["index"]
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assert idx["dimension"] == 4
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vectors.put_vectors(
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vectorBucketName=BUCKET,
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indexName=INDEX,
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vectors=[
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{"key": "a", "data": {"float32": [1, 0, 0, 0]}, "metadata": {"color": "red"}},
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{"key": "b", "data": {"float32": [0.95, 0.05, 0, 0]}, "metadata": {"color": "blue"}},
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{"key": "c", "data": {"float32": [0.9, 0.1, 0, 0]}, "metadata": {"color": "red"}},
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],
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)
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got = vectors.get_vectors(
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vectorBucketName=BUCKET, indexName=INDEX, keys=["a"], returnData=True, returnMetadata=True
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)["vectors"]
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assert got[0]["key"] == "a" and got[0]["metadata"]["color"] == "red"
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listed = vectors.list_vectors(vectorBucketName=BUCKET, indexName=INDEX)["vectors"]
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assert sorted(v["key"] for v in listed) == ["a", "b", "c"]
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hits = vectors.query_vectors(
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vectorBucketName=BUCKET,
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indexName=INDEX,
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queryVector={"float32": [1, 0, 0, 0]},
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topK=2,
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returnDistance=True,
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returnMetadata=True,
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filter={"color": {"$eq": "red"}},
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)["vectors"]
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# b is the second-nearest vector but blue, so an ignored filter would
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# return ["a", "b"] here.
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assert [h["key"] for h in hits] == ["a", "c"]
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distances = {h["key"]: h["distance"] for h in hits}
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assert distances["a"] == pytest.approx(0.0, abs=1e-6)
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assert distances["c"] == pytest.approx(0.02, abs=1e-4)
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assert all(h["metadata"]["color"] == "red" for h in hits)
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vectors.delete_vectors(vectorBucketName=BUCKET, indexName=INDEX, keys=["b"])
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listed = vectors.list_vectors(vectorBucketName=BUCKET, indexName=INDEX)["vectors"]
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assert sorted(v["key"] for v in listed) == ["a", "c"]
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vectors.delete_index(vectorBucketName=BUCKET, indexName=INDEX)
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vectors.delete_vector_bucket(vectorBucketName=BUCKET)
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