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Extract API definitions, models, and provider specifications into a standalone llama-stack-api package that can be published to PyPI independently of the main llama-stack server. Motivation External providers currently import from llama-stack, which overrides the installed version and causes dependency conflicts. This separation allows external providers to: - Install only the type definitions they need without server dependencies - Avoid version conflicts with the installed llama-stack package - Be versioned and released independently This enables us to re-enable external provider module tests that were previously blocked by these import conflicts. Changes - Created llama-stack-api package with minimal dependencies (pydantic, jsonschema) - Moved APIs, providers datatypes, strong_typing, and schema_utils - Updated all imports from llama_stack.* to llama_stack_api.* - Preserved git history using git mv for moved files - Configured local editable install for development workflow - Updated linting and type-checking configuration for both packages - Rebased on top of upstream src/ layout changes Testing Package builds successfully and can be imported independently. All pre-commit hooks pass with expected exclusions maintained. Next Steps - Publish llama-stack-api to PyPI - Update external provider dependencies - Re-enable external provider module tests Signed-off-by: Charlie Doern <cdoern@redhat.com>
127 lines
5.1 KiB
Python
127 lines
5.1 KiB
Python
# Copyright (c) Meta Platforms, Inc. and affiliates.
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# All rights reserved.
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#
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# This source code is licensed under the terms described in the LICENSE file in
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# the root directory of this source tree.
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"""
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Tests for idempotency functionality in the reference batches provider.
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This module tests the optional idempotency feature that allows clients to provide
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an idempotency key (idempotency_key) to ensure that repeated requests with the same key
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and parameters return the same batch, while requests with the same key but different
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parameters result in a conflict error.
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Test Categories:
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1. Core Idempotency: Same parameters with same key return same batch
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2. Parameter Independence: Different parameters without keys create different batches
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3. Conflict Detection: Same key with different parameters raises ConflictError
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Tests by Category:
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1. Core Idempotency:
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- test_idempotent_batch_creation_same_params
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- test_idempotent_batch_creation_metadata_order_independence
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2. Parameter Independence:
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- test_non_idempotent_behavior_without_key
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- test_different_idempotency_keys_create_different_batches
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3. Conflict Detection:
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- test_same_idempotency_key_different_params_conflict (parametrized: input_file_id, metadata values, metadata None vs {})
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Key Behaviors Tested:
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- Idempotent batch creation when idempotency_key provided with identical parameters
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- Metadata order independence for consistent batch ID generation
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- Non-idempotent behavior when no idempotency_key provided (random UUIDs)
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- Conflict detection for parameter mismatches with same idempotency key
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- Deterministic ID generation based solely on idempotency key
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- Proper error handling with detailed conflict messages including key and error codes
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- Protection against idempotency key reuse with different request parameters
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"""
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import asyncio
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import pytest
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from llama_stack_api.apis.common.errors import ConflictError
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class TestReferenceBatchesIdempotency:
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"""Test suite for idempotency functionality in the reference implementation."""
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async def test_idempotent_batch_creation_same_params(self, provider, sample_batch_data):
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"""Test that creating batches with identical parameters returns the same batch when idempotency_key is provided."""
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del sample_batch_data["metadata"]
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batch1 = await provider.create_batch(
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**sample_batch_data,
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metadata={"test": "value1", "other": "value2"},
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idempotency_key="unique-token-1",
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)
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# sleep for 1 second to allow created_at timestamps to be different
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await asyncio.sleep(1)
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batch2 = await provider.create_batch(
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**sample_batch_data,
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metadata={"other": "value2", "test": "value1"}, # Different order
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idempotency_key="unique-token-1",
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)
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assert batch1.id == batch2.id
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assert batch1.input_file_id == batch2.input_file_id
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assert batch1.metadata == batch2.metadata
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assert batch1.created_at == batch2.created_at
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async def test_different_idempotency_keys_create_different_batches(self, provider, sample_batch_data):
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"""Test that different idempotency keys create different batches even with same params."""
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batch1 = await provider.create_batch(
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**sample_batch_data,
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idempotency_key="token-A",
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)
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batch2 = await provider.create_batch(
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**sample_batch_data,
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idempotency_key="token-B",
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)
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assert batch1.id != batch2.id
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async def test_non_idempotent_behavior_without_key(self, provider, sample_batch_data):
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"""Test that batches without idempotency key create unique batches even with identical parameters."""
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batch1 = await provider.create_batch(**sample_batch_data)
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batch2 = await provider.create_batch(**sample_batch_data)
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assert batch1.id != batch2.id
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assert batch1.input_file_id == batch2.input_file_id
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assert batch1.endpoint == batch2.endpoint
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assert batch1.completion_window == batch2.completion_window
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assert batch1.metadata == batch2.metadata
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@pytest.mark.parametrize(
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"param_name,first_value,second_value",
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[
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("input_file_id", "file_001", "file_002"),
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("metadata", {"test": "value1"}, {"test": "value2"}),
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("metadata", None, {}),
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],
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)
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async def test_same_idempotency_key_different_params_conflict(
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self, provider, sample_batch_data, param_name, first_value, second_value
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):
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"""Test that same idempotency_key with different parameters raises conflict error."""
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sample_batch_data["idempotency_key"] = "same-token"
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sample_batch_data[param_name] = first_value
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batch1 = await provider.create_batch(**sample_batch_data)
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with pytest.raises(ConflictError, match="Idempotency key.*was previously used with different parameters"):
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sample_batch_data[param_name] = second_value
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await provider.create_batch(**sample_batch_data)
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retrieved_batch = await provider.retrieve_batch(batch1.id)
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assert retrieved_batch.id == batch1.id
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assert getattr(retrieved_batch, param_name) == first_value
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