llama-stack-mirror/tests
Ibrahim Haroon 35c2817d0a
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fix(weaviate): handle case where distance is 0 by setting score to infinity (#2415)
# What does this PR do?
Fixes provider weaviate `query_vector` function for when the distance
between the query embedding and an embedding within the vector db is 0
(identical vectors). Catches `ZeroDivisionError` and then sets `score`
to infinity, which represent maximum similarity.

<!-- If resolving an issue, uncomment and update the line below -->
Closes [#2381]

## Test Plan
Checkout this PR

Execute this code and there will no longer be a `ZeroDivisionError`
exception
```
from llama_stack_client import LlamaStackClient

base_url = "http://localhost:8321"
client = LlamaStackClient(base_url=base_url)

models = client.models.list()
embedding_model = (
    em := next(m for m in models if m.model_type == "embedding")
).identifier
embedding_dimension = 384

_ = client.vector_dbs.register(
    vector_db_id="foo_db",
    embedding_model=embedding_model,
    embedding_dimension=embedding_dimension,
    provider_id="weaviate",
)

chunk = {
    "content": "foo",
    "mime_type": "text/plain",
    "metadata": {
        "document_id": "foo-id"
    }
}

client.vector_io.insert(vector_db_id="foo_db", chunks=[chunk])
client.vector_io.query(vector_db_id="foo_db", query="foo")
```
2025-06-12 11:23:59 -04:00
..
client-sdk/post_training feat: Add nemo customizer (#1448) 2025-03-25 11:01:10 -07:00
common feat(responses): implement full multi-turn support (#2295) 2025-06-02 15:35:49 -07:00
external-provider/llama-stack-provider-ollama chore: mark blobpath as optional (#2271) 2025-05-27 10:55:24 +02:00
integration fix(weaviate): handle case where distance is 0 by setting score to infinity (#2415) 2025-06-12 11:23:59 -04:00
unit fix(faiss): handle case where distance is 0 by setting d to minimum positive… (#2387) 2025-06-07 16:09:46 -04:00
verifications feat: Structured output for Responses API (#2324) 2025-06-03 14:43:00 -07:00
__init__.py refactor(test): introduce --stack-config and simplify options (#1404) 2025-03-05 17:02:02 -08:00
Containerfile ci: use ollama container image with loaded models (#2410) 2025-06-06 12:08:20 +02:00
README.md docs: revamp testing documentation (#2155) 2025-05-13 11:28:29 -07:00

Llama Stack Tests

Llama Stack has multiple layers of testing done to ensure continuous functionality and prevent regressions to the codebase.

Testing Type Details
Unit unit/README.md
Integration integration/README.md
Verification verifications/README.md