test: revamp eval related integration tests (#1433)

# What does this PR do?
- revamp and clean up datasets/scoring/eval integration tests
- closes https://github.com/meta-llama/llama-stack/issues/1396

[//]: # (If resolving an issue, uncomment and update the line below)
[//]: # (Closes #[issue-number])

## Test Plan
**dataset**
```
LLAMA_STACK_BASE_URL=http://localhost:8321 pytest -v tests/integration/datasetio/
```
<img width="842" alt="image"
src="https://github.com/user-attachments/assets/88fc2b6a-b496-47bf-bc0c-8fea48ba36ff"
/>

**scoring**
```
LLAMA_STACK_CONFIG=fireworks pytest -v tests/integration/scoring --text-model meta-llama/Llama-3.1-8B-Instruct --judge-model meta-llama/Llama-3.1-8B-Instruct
```
<img width="851" alt="image"
src="https://github.com/user-attachments/assets/50f46415-b44c-4c37-a6c3-076f2767adb3"
/>


**eval**
```
LLAMA_STACK_CONFIG=fireworks pytest -v tests/integration/eval --text-model meta-llama/Llama-3.1-8B-Instruct --judge-model meta-llama/Llama-3.1-8B-Instruct
```
<img width="841" alt="image"
src="https://github.com/user-attachments/assets/8eb1c65c-3b39-4d66-8ff4-f471ca783e49"
/>


[//]: # (## Documentation)
This commit is contained in:
Xi Yan 2025-03-06 10:51:35 -08:00 committed by GitHub
parent 82e94fe22f
commit bcb13c492f
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7 changed files with 184 additions and 222 deletions

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@ -9,13 +9,9 @@ import mimetypes
import os
from pathlib import Path
import pytest
# How to run this test:
#
# pytest llama_stack/providers/tests/datasetio/test_datasetio.py
# -m "meta_reference"
# -v -s --tb=short --disable-warnings
# LLAMA_STACK_CONFIG="template-name" pytest -v tests/integration/datasetio
def data_url_from_file(file_path: str) -> str:
@ -60,42 +56,29 @@ def register_dataset(llama_stack_client, for_generation=False, for_rag=False, da
"generated_answer": {"type": "string"},
}
dataset_providers = [x for x in llama_stack_client.providers.list() if x.api == "datasetio"]
dataset_provider_id = dataset_providers[0].provider_id
llama_stack_client.datasets.register(
dataset_id=dataset_id,
dataset_schema=dataset_schema,
url=dict(uri=test_url),
provider_id="localfs",
provider_id=dataset_provider_id,
)
def test_datasets_list(llama_stack_client):
# NOTE: this needs you to ensure that you are starting from a clean state
# but so far we don't have an unregister API unfortunately, so be careful
response = llama_stack_client.datasets.list()
assert isinstance(response, list)
assert len(response) == 0
def test_register_dataset(llama_stack_client):
def test_register_unregister_dataset(llama_stack_client):
register_dataset(llama_stack_client)
response = llama_stack_client.datasets.list()
assert isinstance(response, list)
assert len(response) == 1
assert response[0].identifier == "test_dataset"
with pytest.raises(ValueError):
# unregister a dataset that does not exist
llama_stack_client.datasets.unregister("test_dataset2")
llama_stack_client.datasets.unregister("test_dataset")
response = llama_stack_client.datasets.list()
assert isinstance(response, list)
assert len(response) == 0
with pytest.raises(ValueError):
llama_stack_client.datasets.unregister("test_dataset")
def test_get_rows_paginated(llama_stack_client):
register_dataset(llama_stack_client)