llama-stack/llama_stack/distribution/store/tests/test_registry.py
Xi Yan 3c72c034e6
[remove import *] clean up import *'s (#689)
# What does this PR do?

- as title, cleaning up `import *`'s
- upgrade tests to make them more robust to bad model outputs
- remove import *'s in llama_stack/apis/* (skip __init__ modules)
<img width="465" alt="image"
src="https://github.com/user-attachments/assets/d8339c13-3b40-4ba5-9c53-0d2329726ee2"
/>

- run `sh run_openapi_generator.sh`, no types gets affected

## Test Plan

### Providers Tests

**agents**
```
pytest -v -s llama_stack/providers/tests/agents/test_agents.py -m "together" --safety-shield meta-llama/Llama-Guard-3-8B --inference-model meta-llama/Llama-3.1-405B-Instruct-FP8
```

**inference**
```bash
# meta-reference
torchrun $CONDA_PREFIX/bin/pytest -v -s -k "meta_reference" --inference-model="meta-llama/Llama-3.1-8B-Instruct" ./llama_stack/providers/tests/inference/test_text_inference.py
torchrun $CONDA_PREFIX/bin/pytest -v -s -k "meta_reference" --inference-model="meta-llama/Llama-3.2-11B-Vision-Instruct" ./llama_stack/providers/tests/inference/test_vision_inference.py

# together
pytest -v -s -k "together" --inference-model="meta-llama/Llama-3.1-8B-Instruct" ./llama_stack/providers/tests/inference/test_text_inference.py
pytest -v -s -k "together" --inference-model="meta-llama/Llama-3.2-11B-Vision-Instruct" ./llama_stack/providers/tests/inference/test_vision_inference.py

pytest ./llama_stack/providers/tests/inference/test_prompt_adapter.py 
```

**safety**
```
pytest -v -s llama_stack/providers/tests/safety/test_safety.py -m together --safety-shield meta-llama/Llama-Guard-3-8B
```

**memory**
```
pytest -v -s llama_stack/providers/tests/memory/test_memory.py -m "sentence_transformers" --env EMBEDDING_DIMENSION=384
```

**scoring**
```
pytest -v -s -m llm_as_judge_scoring_together_inference llama_stack/providers/tests/scoring/test_scoring.py --judge-model meta-llama/Llama-3.2-3B-Instruct
pytest -v -s -m basic_scoring_together_inference llama_stack/providers/tests/scoring/test_scoring.py
pytest -v -s -m braintrust_scoring_together_inference llama_stack/providers/tests/scoring/test_scoring.py
```


**datasetio**
```
pytest -v -s -m localfs llama_stack/providers/tests/datasetio/test_datasetio.py
pytest -v -s -m huggingface llama_stack/providers/tests/datasetio/test_datasetio.py
```


**eval**
```
pytest -v -s -m meta_reference_eval_together_inference llama_stack/providers/tests/eval/test_eval.py
pytest -v -s -m meta_reference_eval_together_inference_huggingface_datasetio llama_stack/providers/tests/eval/test_eval.py
```

### Client-SDK Tests
```
LLAMA_STACK_BASE_URL=http://localhost:5000 pytest -v ./tests/client-sdk
```

### llama-stack-apps
```
PORT=5000
LOCALHOST=localhost

python -m examples.agents.hello $LOCALHOST $PORT
python -m examples.agents.inflation $LOCALHOST $PORT
python -m examples.agents.podcast_transcript $LOCALHOST $PORT
python -m examples.agents.rag_as_attachments $LOCALHOST $PORT
python -m examples.agents.rag_with_memory_bank $LOCALHOST $PORT
python -m examples.safety.llama_guard_demo_mm $LOCALHOST $PORT
python -m examples.agents.e2e_loop_with_custom_tools $LOCALHOST $PORT

# Vision model
python -m examples.interior_design_assistant.app
python -m examples.agent_store.app $LOCALHOST $PORT
```

### CLI
```
which llama
llama model prompt-format -m Llama3.2-11B-Vision-Instruct
llama model list
llama stack list-apis
llama stack list-providers inference

llama stack build --template ollama --image-type conda
```

### Distributions Tests
**ollama**
```
llama stack build --template ollama --image-type conda
ollama run llama3.2:1b-instruct-fp16
llama stack run ./llama_stack/templates/ollama/run.yaml --env INFERENCE_MODEL=meta-llama/Llama-3.2-1B-Instruct
```

**fireworks**
```
llama stack build --template fireworks --image-type conda
llama stack run ./llama_stack/templates/fireworks/run.yaml
```

**together**
```
llama stack build --template together --image-type conda
llama stack run ./llama_stack/templates/together/run.yaml
```

**tgi**
```
llama stack run ./llama_stack/templates/tgi/run.yaml --env TGI_URL=http://0.0.0.0:5009 --env INFERENCE_MODEL=meta-llama/Llama-3.1-8B-Instruct
```

## Sources

Please link relevant resources if necessary.


## Before submitting

- [ ] This PR fixes a typo or improves the docs (you can dismiss the
other checks if that's the case).
- [ ] Ran pre-commit to handle lint / formatting issues.
- [ ] Read the [contributor
guideline](https://github.com/meta-llama/llama-stack/blob/main/CONTRIBUTING.md),
      Pull Request section?
- [ ] Updated relevant documentation.
- [ ] Wrote necessary unit or integration tests.
2024-12-27 15:45:44 -08:00

218 lines
7.2 KiB
Python

# Copyright (c) Meta Platforms, Inc. and affiliates.
# All rights reserved.
#
# This source code is licensed under the terms described in the LICENSE file in
# the root directory of this source tree.
import os
import pytest
import pytest_asyncio
from llama_stack.apis.inference import Model
from llama_stack.apis.memory_banks import VectorMemoryBank
from llama_stack.distribution.store.registry import (
CachedDiskDistributionRegistry,
DiskDistributionRegistry,
)
from llama_stack.providers.utils.kvstore import kvstore_impl, SqliteKVStoreConfig
@pytest.fixture
def config():
config = SqliteKVStoreConfig(db_path="/tmp/test_registry.db")
if os.path.exists(config.db_path):
os.remove(config.db_path)
return config
@pytest_asyncio.fixture
async def registry(config):
registry = DiskDistributionRegistry(await kvstore_impl(config))
await registry.initialize()
return registry
@pytest_asyncio.fixture
async def cached_registry(config):
registry = CachedDiskDistributionRegistry(await kvstore_impl(config))
await registry.initialize()
return registry
@pytest.fixture
def sample_bank():
return VectorMemoryBank(
identifier="test_bank",
embedding_model="all-MiniLM-L6-v2",
chunk_size_in_tokens=512,
overlap_size_in_tokens=64,
provider_resource_id="test_bank",
provider_id="test-provider",
)
@pytest.fixture
def sample_model():
return Model(
identifier="test_model",
provider_resource_id="test_model",
provider_id="test-provider",
)
@pytest.mark.asyncio
async def test_registry_initialization(registry):
# Test empty registry
results = await registry.get("nonexistent", "nonexistent")
assert len(results) == 0
@pytest.mark.asyncio
async def test_basic_registration(registry, sample_bank, sample_model):
print(f"Registering {sample_bank}")
await registry.register(sample_bank)
print(f"Registering {sample_model}")
await registry.register(sample_model)
print("Getting bank")
results = await registry.get("memory_bank", "test_bank")
assert len(results) == 1
result_bank = results[0]
assert result_bank.identifier == sample_bank.identifier
assert result_bank.embedding_model == sample_bank.embedding_model
assert result_bank.chunk_size_in_tokens == sample_bank.chunk_size_in_tokens
assert result_bank.overlap_size_in_tokens == sample_bank.overlap_size_in_tokens
assert result_bank.provider_id == sample_bank.provider_id
results = await registry.get("model", "test_model")
assert len(results) == 1
result_model = results[0]
assert result_model.identifier == sample_model.identifier
assert result_model.provider_id == sample_model.provider_id
@pytest.mark.asyncio
async def test_cached_registry_initialization(config, sample_bank, sample_model):
# First populate the disk registry
disk_registry = DiskDistributionRegistry(await kvstore_impl(config))
await disk_registry.initialize()
await disk_registry.register(sample_bank)
await disk_registry.register(sample_model)
# Test cached version loads from disk
cached_registry = CachedDiskDistributionRegistry(await kvstore_impl(config))
await cached_registry.initialize()
results = await cached_registry.get("memory_bank", "test_bank")
assert len(results) == 1
result_bank = results[0]
assert result_bank.identifier == sample_bank.identifier
assert result_bank.embedding_model == sample_bank.embedding_model
assert result_bank.chunk_size_in_tokens == sample_bank.chunk_size_in_tokens
assert result_bank.overlap_size_in_tokens == sample_bank.overlap_size_in_tokens
assert result_bank.provider_id == sample_bank.provider_id
@pytest.mark.asyncio
async def test_cached_registry_updates(config):
cached_registry = CachedDiskDistributionRegistry(await kvstore_impl(config))
await cached_registry.initialize()
new_bank = VectorMemoryBank(
identifier="test_bank_2",
embedding_model="all-MiniLM-L6-v2",
chunk_size_in_tokens=256,
overlap_size_in_tokens=32,
provider_resource_id="test_bank_2",
provider_id="baz",
)
await cached_registry.register(new_bank)
# Verify in cache
results = await cached_registry.get("memory_bank", "test_bank_2")
assert len(results) == 1
result_bank = results[0]
assert result_bank.identifier == new_bank.identifier
assert result_bank.provider_id == new_bank.provider_id
# Verify persisted to disk
new_registry = DiskDistributionRegistry(await kvstore_impl(config))
await new_registry.initialize()
results = await new_registry.get("memory_bank", "test_bank_2")
assert len(results) == 1
result_bank = results[0]
assert result_bank.identifier == new_bank.identifier
assert result_bank.provider_id == new_bank.provider_id
@pytest.mark.asyncio
async def test_duplicate_provider_registration(config):
cached_registry = CachedDiskDistributionRegistry(await kvstore_impl(config))
await cached_registry.initialize()
original_bank = VectorMemoryBank(
identifier="test_bank_2",
embedding_model="all-MiniLM-L6-v2",
chunk_size_in_tokens=256,
overlap_size_in_tokens=32,
provider_resource_id="test_bank_2",
provider_id="baz",
)
await cached_registry.register(original_bank)
duplicate_bank = VectorMemoryBank(
identifier="test_bank_2",
embedding_model="different-model",
chunk_size_in_tokens=128,
overlap_size_in_tokens=16,
provider_resource_id="test_bank_2",
provider_id="baz", # Same provider_id
)
await cached_registry.register(duplicate_bank)
results = await cached_registry.get("memory_bank", "test_bank_2")
assert len(results) == 1 # Still only one result
assert (
results[0].embedding_model == original_bank.embedding_model
) # Original values preserved
@pytest.mark.asyncio
async def test_get_all_objects(config):
cached_registry = CachedDiskDistributionRegistry(await kvstore_impl(config))
await cached_registry.initialize()
# Create multiple test banks
test_banks = [
VectorMemoryBank(
identifier=f"test_bank_{i}",
embedding_model="all-MiniLM-L6-v2",
chunk_size_in_tokens=256,
overlap_size_in_tokens=32,
provider_resource_id=f"test_bank_{i}",
provider_id=f"provider_{i}",
)
for i in range(3)
]
# Register all banks
for bank in test_banks:
await cached_registry.register(bank)
# Test get_all retrieval
all_results = await cached_registry.get_all()
assert len(all_results) == 3
# Verify each bank was stored correctly
for original_bank in test_banks:
matching_banks = [
b for b in all_results if b.identifier == original_bank.identifier
]
assert len(matching_banks) == 1
stored_bank = matching_banks[0]
assert stored_bank.embedding_model == original_bank.embedding_model
assert stored_bank.provider_id == original_bank.provider_id
assert stored_bank.chunk_size_in_tokens == original_bank.chunk_size_in_tokens
assert (
stored_bank.overlap_size_in_tokens == original_bank.overlap_size_in_tokens
)