mirror of
https://github.com/meta-llama/llama-stack.git
synced 2025-12-25 16:38:03 +00:00
Merge branch 'main' into feature/dpo-training
This commit is contained in:
Nehanth Narendrula
GitHub
commit
b68b818539
265 changed files with 10254 additions and 7796 deletions
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@ -5,17 +5,20 @@
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# the root directory of this source tree.
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from io import BytesIO
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from unittest.mock import patch
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import pytest
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from openai import OpenAI
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from llama_stack.distribution.datatypes import User
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from llama_stack.distribution.library_client import LlamaStackAsLibraryClient
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def test_openai_client_basic_operations(openai_client, client_with_models):
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def test_openai_client_basic_operations(compat_client, client_with_models):
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"""Test basic file operations through OpenAI client."""
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if isinstance(client_with_models, LlamaStackAsLibraryClient):
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pytest.skip("OpenAI files are not supported when testing with library client yet.")
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client = openai_client
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if isinstance(client_with_models, LlamaStackAsLibraryClient) and isinstance(compat_client, OpenAI):
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pytest.skip("OpenAI files are not supported when testing with LlamaStackAsLibraryClient")
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client = compat_client
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test_content = b"files test content"
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@ -41,7 +44,12 @@ def test_openai_client_basic_operations(openai_client, client_with_models):
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# Retrieve file content - OpenAI client returns httpx Response object
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content_response = client.files.content(uploaded_file.id)
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# The response is an httpx Response object with .content attribute containing bytes
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content = content_response.content
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if isinstance(content_response, str):
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# Llama Stack Client returns a str
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# TODO: fix Llama Stack Client
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content = bytes(content_response, "utf-8")
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else:
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content = content_response.content
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assert content == test_content
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# Delete file
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@ -55,3 +63,218 @@ def test_openai_client_basic_operations(openai_client, client_with_models):
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except Exception:
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pass
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raise e
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@patch("llama_stack.providers.utils.sqlstore.authorized_sqlstore.get_authenticated_user")
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def test_files_authentication_isolation(mock_get_authenticated_user, compat_client, client_with_models):
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"""Test that users can only access their own files."""
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if isinstance(client_with_models, LlamaStackAsLibraryClient) and isinstance(compat_client, OpenAI):
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pytest.skip("OpenAI files are not supported when testing with LlamaStackAsLibraryClient")
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if not isinstance(client_with_models, LlamaStackAsLibraryClient):
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pytest.skip("Authentication tests require LlamaStackAsLibraryClient (library mode)")
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client = compat_client
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# Create two test users
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user1 = User("user1", {"roles": ["user"], "teams": ["team-a"]})
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user2 = User("user2", {"roles": ["user"], "teams": ["team-b"]})
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# User 1 uploads a file
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mock_get_authenticated_user.return_value = user1
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test_content_1 = b"User 1's private file content"
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with BytesIO(test_content_1) as file_buffer:
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file_buffer.name = "user1_file.txt"
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user1_file = client.files.create(file=file_buffer, purpose="assistants")
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# User 2 uploads a file
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mock_get_authenticated_user.return_value = user2
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test_content_2 = b"User 2's private file content"
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with BytesIO(test_content_2) as file_buffer:
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file_buffer.name = "user2_file.txt"
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user2_file = client.files.create(file=file_buffer, purpose="assistants")
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try:
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# User 1 can see their own file
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mock_get_authenticated_user.return_value = user1
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user1_files = client.files.list()
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user1_file_ids = [f.id for f in user1_files.data]
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assert user1_file.id in user1_file_ids
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assert user2_file.id not in user1_file_ids # Cannot see user2's file
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# User 2 can see their own file
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mock_get_authenticated_user.return_value = user2
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user2_files = client.files.list()
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user2_file_ids = [f.id for f in user2_files.data]
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assert user2_file.id in user2_file_ids
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assert user1_file.id not in user2_file_ids # Cannot see user1's file
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# User 1 can retrieve their own file
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mock_get_authenticated_user.return_value = user1
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retrieved_file = client.files.retrieve(user1_file.id)
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assert retrieved_file.id == user1_file.id
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# User 1 cannot retrieve user2's file
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mock_get_authenticated_user.return_value = user1
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with pytest.raises(ValueError, match="not found"):
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client.files.retrieve(user2_file.id)
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# User 1 can access their file content
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mock_get_authenticated_user.return_value = user1
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content_response = client.files.content(user1_file.id)
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if isinstance(content_response, str):
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content = bytes(content_response, "utf-8")
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else:
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content = content_response.content
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assert content == test_content_1
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# User 1 cannot access user2's file content
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mock_get_authenticated_user.return_value = user1
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with pytest.raises(ValueError, match="not found"):
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client.files.content(user2_file.id)
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# User 1 can delete their own file
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mock_get_authenticated_user.return_value = user1
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delete_response = client.files.delete(user1_file.id)
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assert delete_response.deleted is True
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# User 1 cannot delete user2's file
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mock_get_authenticated_user.return_value = user1
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with pytest.raises(ValueError, match="not found"):
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client.files.delete(user2_file.id)
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# User 2 can still access their file after user1's file is deleted
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mock_get_authenticated_user.return_value = user2
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retrieved_file = client.files.retrieve(user2_file.id)
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assert retrieved_file.id == user2_file.id
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# Cleanup user2's file
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mock_get_authenticated_user.return_value = user2
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client.files.delete(user2_file.id)
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except Exception as e:
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# Cleanup in case of failure
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try:
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mock_get_authenticated_user.return_value = user1
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client.files.delete(user1_file.id)
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except Exception:
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pass
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try:
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mock_get_authenticated_user.return_value = user2
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client.files.delete(user2_file.id)
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except Exception:
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pass
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raise e
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@patch("llama_stack.providers.utils.sqlstore.authorized_sqlstore.get_authenticated_user")
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def test_files_authentication_shared_attributes(mock_get_authenticated_user, compat_client, client_with_models):
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"""Test access control with users having identical attributes."""
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if isinstance(client_with_models, LlamaStackAsLibraryClient) and isinstance(compat_client, OpenAI):
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pytest.skip("OpenAI files are not supported when testing with LlamaStackAsLibraryClient")
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if not isinstance(client_with_models, LlamaStackAsLibraryClient):
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pytest.skip("Authentication tests require LlamaStackAsLibraryClient (library mode)")
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client = compat_client
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# Create users with identical attributes (required for default policy)
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user_a = User("user-a", {"roles": ["user"], "teams": ["shared-team"]})
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user_b = User("user-b", {"roles": ["user"], "teams": ["shared-team"]})
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# User A uploads a file
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mock_get_authenticated_user.return_value = user_a
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test_content = b"Shared attributes file content"
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with BytesIO(test_content) as file_buffer:
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file_buffer.name = "shared_attributes_file.txt"
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shared_file = client.files.create(file=file_buffer, purpose="assistants")
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try:
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# User B with identical attributes can access the file
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mock_get_authenticated_user.return_value = user_b
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files_list = client.files.list()
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file_ids = [f.id for f in files_list.data]
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# User B should be able to see the file due to identical attributes
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assert shared_file.id in file_ids
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# User B can retrieve file info
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retrieved_file = client.files.retrieve(shared_file.id)
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assert retrieved_file.id == shared_file.id
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# User B can access file content
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content_response = client.files.content(shared_file.id)
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if isinstance(content_response, str):
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content = bytes(content_response, "utf-8")
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else:
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content = content_response.content
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assert content == test_content
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# Cleanup
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mock_get_authenticated_user.return_value = user_a
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client.files.delete(shared_file.id)
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except Exception as e:
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# Cleanup in case of failure
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try:
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mock_get_authenticated_user.return_value = user_a
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client.files.delete(shared_file.id)
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except Exception:
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pass
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try:
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mock_get_authenticated_user.return_value = user_b
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client.files.delete(shared_file.id)
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except Exception:
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pass
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raise e
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@patch("llama_stack.providers.utils.sqlstore.authorized_sqlstore.get_authenticated_user")
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def test_files_authentication_anonymous_access(mock_get_authenticated_user, compat_client, client_with_models):
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"""Test anonymous user behavior when no authentication is present."""
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if isinstance(client_with_models, LlamaStackAsLibraryClient) and isinstance(compat_client, OpenAI):
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pytest.skip("OpenAI files are not supported when testing with LlamaStackAsLibraryClient")
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if not isinstance(client_with_models, LlamaStackAsLibraryClient):
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pytest.skip("Authentication tests require LlamaStackAsLibraryClient (library mode)")
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client = compat_client
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# Simulate anonymous user (no authentication)
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mock_get_authenticated_user.return_value = None
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test_content = b"Anonymous file content"
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with BytesIO(test_content) as file_buffer:
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file_buffer.name = "anonymous_file.txt"
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anonymous_file = client.files.create(file=file_buffer, purpose="assistants")
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try:
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# Anonymous user should be able to access their own uploaded file
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files_list = client.files.list()
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file_ids = [f.id for f in files_list.data]
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assert anonymous_file.id in file_ids
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# Can retrieve file info
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retrieved_file = client.files.retrieve(anonymous_file.id)
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assert retrieved_file.id == anonymous_file.id
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# Can access file content
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content_response = client.files.content(anonymous_file.id)
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if isinstance(content_response, str):
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content = bytes(content_response, "utf-8")
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else:
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content = content_response.content
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assert content == test_content
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# Can delete the file
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delete_response = client.files.delete(anonymous_file.id)
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assert delete_response.deleted is True
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except Exception as e:
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# Cleanup in case of failure
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try:
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client.files.delete(anonymous_file.id)
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except Exception:
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pass
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raise e
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|
|
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|
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@ -257,6 +257,11 @@ def openai_client(client_with_models):
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return OpenAI(base_url=base_url, api_key="fake")
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@pytest.fixture(params=["openai_client", "llama_stack_client"])
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def compat_client(request):
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return request.getfixturevalue(request.param)
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@pytest.fixture(scope="session", autouse=True)
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def cleanup_server_process(request):
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"""Cleanup server process at the end of the test session."""
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|
|
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|
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@ -5,8 +5,14 @@
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# the root directory of this source tree.
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|
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import base64
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import os
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import tempfile
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|
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import pytest
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from openai import OpenAI
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from reportlab.lib.pagesizes import letter
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from reportlab.pdfgen import canvas
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from llama_stack.distribution.library_client import LlamaStackAsLibraryClient
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|
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|
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@ -82,6 +88,14 @@ def skip_if_provider_isnt_vllm(client_with_models, model_id):
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pytest.skip(f"Model {model_id} hosted by {provider.provider_type} doesn't support vllm extra_body parameters.")
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|
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def skip_if_provider_isnt_openai(client_with_models, model_id):
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provider = provider_from_model(client_with_models, model_id)
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if provider.provider_type != "remote::openai":
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pytest.skip(
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f"Model {model_id} hosted by {provider.provider_type} doesn't support chat completion calls with base64 encoded files."
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)
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|
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|
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@pytest.fixture
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def openai_client(client_with_models):
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base_url = f"{client_with_models.base_url}/v1/openai/v1"
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|
|
@ -179,9 +193,7 @@ def test_openai_completion_prompt_logprobs(llama_stack_client, client_with_model
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model=text_model_id,
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prompt=prompt,
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stream=False,
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extra_body={
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"prompt_logprobs": prompt_logprobs,
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},
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prompt_logprobs=prompt_logprobs,
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)
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assert len(response.choices) > 0
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choice = response.choices[0]
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|
|
@ -196,9 +208,7 @@ def test_openai_completion_guided_choice(llama_stack_client, client_with_models,
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model=text_model_id,
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prompt=prompt,
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stream=False,
|
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extra_body={
|
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"guided_choice": ["joy", "sadness"],
|
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},
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guided_choice=["joy", "sadness"],
|
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)
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assert len(response.choices) > 0
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choice = response.choices[0]
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|
|
@ -422,3 +432,45 @@ def test_inference_store_tool_calls(compat_client, client_with_models, text_mode
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# failed tool call parses show up as a message with content, so ensure
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# that the retrieve response content matches the original request
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assert retrieved_response.choices[0].message.content == content
|
||||
|
||||
|
||||
def test_openai_chat_completion_non_streaming_with_file(openai_client, client_with_models, text_model_id):
|
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skip_if_provider_isnt_openai(client_with_models, text_model_id)
|
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|
||||
# Generate temporary PDF with "Hello World" text
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with tempfile.NamedTemporaryFile(suffix=".pdf", delete=False) as temp_pdf:
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c = canvas.Canvas(temp_pdf.name, pagesize=letter)
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c.drawString(100, 750, "Hello World")
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c.save()
|
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|
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# Read the PDF and sencode to base64
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with open(temp_pdf.name, "rb") as pdf_file:
|
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pdf_base64 = base64.b64encode(pdf_file.read()).decode("utf-8")
|
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|
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# Clean up temporary file
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os.unlink(temp_pdf.name)
|
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|
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response = openai_client.chat.completions.create(
|
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model=text_model_id,
|
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messages=[
|
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{
|
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"role": "user",
|
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"content": "Describe what you see in this PDF file.",
|
||||
},
|
||||
{
|
||||
"role": "user",
|
||||
"content": [
|
||||
{
|
||||
"type": "file",
|
||||
"file": {
|
||||
"filename": "my-temp-hello-world-pdf",
|
||||
"file_data": f"data:application/pdf;base64,{pdf_base64}",
|
||||
},
|
||||
}
|
||||
],
|
||||
},
|
||||
],
|
||||
stream=False,
|
||||
)
|
||||
message_content = response.choices[0].message.content.lower().strip()
|
||||
assert "hello world" in message_content
|
||||
|
|
|
|||
|
|
@ -41,9 +41,8 @@ sys.stdout.reconfigure(line_buffering=True)
|
|||
|
||||
# How to run this test:
|
||||
#
|
||||
# pytest llama_stack/providers/tests/post_training/test_post_training.py
|
||||
# -m "torchtune_post_training_huggingface_datasetio"
|
||||
# -v -s --tb=short --disable-warnings
|
||||
# LLAMA_STACK_CONFIG=ci-tests uv run --dev pytest tests/integration/post_training/test_post_training.py
|
||||
#
|
||||
|
||||
|
||||
# SFT test
|
||||
|
|
@ -117,6 +116,7 @@ class TestPostTraining:
|
|||
break
|
||||
|
||||
logger.info(f"Current status: {status}")
|
||||
assert status.status in ["scheduled", "in_progress", "completed"]
|
||||
if status.status == "completed":
|
||||
break
|
||||
|
||||
|
|
|
|||
|
|
@ -47,6 +47,9 @@ def setup_telemetry_data(llama_stack_client, text_model_id):
|
|||
if len(traces) < 4:
|
||||
pytest.fail(f"Failed to create sufficient telemetry data after 30s. Got {len(traces)} traces.")
|
||||
|
||||
# Wait for 5 seconds to ensure traces has completed logging
|
||||
time.sleep(5)
|
||||
|
||||
yield
|
||||
|
||||
|
||||
|
|
|
|||
|
|
@ -22,16 +22,14 @@ logger = logging.getLogger(__name__)
|
|||
def skip_if_provider_doesnt_support_openai_vector_stores(client_with_models):
|
||||
vector_io_providers = [p for p in client_with_models.providers.list() if p.api == "vector_io"]
|
||||
for p in vector_io_providers:
|
||||
if p.provider_type in ["inline::faiss", "inline::sqlite-vec", "inline::milvus"]:
|
||||
return
|
||||
|
||||
pytest.skip("OpenAI vector stores are not supported by any provider")
|
||||
|
||||
|
||||
def skip_if_provider_doesnt_support_openai_vector_store_files_api(client_with_models):
|
||||
vector_io_providers = [p for p in client_with_models.providers.list() if p.api == "vector_io"]
|
||||
for p in vector_io_providers:
|
||||
if p.provider_type in ["inline::faiss", "inline::sqlite-vec", "inline::milvus", "remote::pgvector"]:
|
||||
if p.provider_type in [
|
||||
"inline::faiss",
|
||||
"inline::sqlite-vec",
|
||||
"inline::milvus",
|
||||
"inline::chromadb",
|
||||
"remote::pgvector",
|
||||
"remote::chromadb",
|
||||
]:
|
||||
return
|
||||
|
||||
pytest.skip("OpenAI vector stores are not supported by any provider")
|
||||
|
|
@ -452,7 +450,6 @@ def test_openai_vector_store_search_with_max_num_results(
|
|||
def test_openai_vector_store_attach_file(compat_client_with_empty_stores, client_with_models):
|
||||
"""Test OpenAI vector store attach file."""
|
||||
skip_if_provider_doesnt_support_openai_vector_stores(client_with_models)
|
||||
skip_if_provider_doesnt_support_openai_vector_store_files_api(client_with_models)
|
||||
|
||||
if isinstance(compat_client_with_empty_stores, LlamaStackClient):
|
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pytest.skip("Vector Store Files attach is not yet supported with LlamaStackClient")
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||||
|
|
@ -504,7 +501,6 @@ def test_openai_vector_store_attach_file(compat_client_with_empty_stores, client
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def test_openai_vector_store_attach_files_on_creation(compat_client_with_empty_stores, client_with_models):
|
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"""Test OpenAI vector store attach files on creation."""
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skip_if_provider_doesnt_support_openai_vector_stores(client_with_models)
|
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skip_if_provider_doesnt_support_openai_vector_store_files_api(client_with_models)
|
||||
|
||||
if isinstance(compat_client_with_empty_stores, LlamaStackClient):
|
||||
pytest.skip("Vector Store Files attach is not yet supported with LlamaStackClient")
|
||||
|
|
@ -561,7 +557,6 @@ def test_openai_vector_store_attach_files_on_creation(compat_client_with_empty_s
|
|||
def test_openai_vector_store_list_files(compat_client_with_empty_stores, client_with_models):
|
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"""Test OpenAI vector store list files."""
|
||||
skip_if_provider_doesnt_support_openai_vector_stores(client_with_models)
|
||||
skip_if_provider_doesnt_support_openai_vector_store_files_api(client_with_models)
|
||||
|
||||
if isinstance(compat_client_with_empty_stores, LlamaStackClient):
|
||||
pytest.skip("Vector Store Files list is not yet supported with LlamaStackClient")
|
||||
|
|
@ -635,7 +630,6 @@ def test_openai_vector_store_list_files_invalid_vector_store(compat_client_with_
|
|||
def test_openai_vector_store_retrieve_file_contents(compat_client_with_empty_stores, client_with_models):
|
||||
"""Test OpenAI vector store retrieve file contents."""
|
||||
skip_if_provider_doesnt_support_openai_vector_stores(client_with_models)
|
||||
skip_if_provider_doesnt_support_openai_vector_store_files_api(client_with_models)
|
||||
|
||||
if isinstance(compat_client_with_empty_stores, LlamaStackClient):
|
||||
pytest.skip("Vector Store Files retrieve contents is not yet supported with LlamaStackClient")
|
||||
|
|
@ -677,7 +671,6 @@ def test_openai_vector_store_retrieve_file_contents(compat_client_with_empty_sto
|
|||
def test_openai_vector_store_delete_file(compat_client_with_empty_stores, client_with_models):
|
||||
"""Test OpenAI vector store delete file."""
|
||||
skip_if_provider_doesnt_support_openai_vector_stores(client_with_models)
|
||||
skip_if_provider_doesnt_support_openai_vector_store_files_api(client_with_models)
|
||||
|
||||
if isinstance(compat_client_with_empty_stores, LlamaStackClient):
|
||||
pytest.skip("Vector Store Files list is not yet supported with LlamaStackClient")
|
||||
|
|
@ -730,12 +723,9 @@ def test_openai_vector_store_delete_file(compat_client_with_empty_stores, client
|
|||
assert updated_vector_store.file_counts.in_progress == 0
|
||||
|
||||
|
||||
# TODO: Remove this xfail once we have a way to remove embeddings from vector store
|
||||
@pytest.mark.xfail(reason="Vector Store Files delete doesn't remove embeddings from vector store", strict=True)
|
||||
def test_openai_vector_store_delete_file_removes_from_vector_store(compat_client_with_empty_stores, client_with_models):
|
||||
"""Test OpenAI vector store delete file removes from vector store."""
|
||||
skip_if_provider_doesnt_support_openai_vector_stores(client_with_models)
|
||||
skip_if_provider_doesnt_support_openai_vector_store_files_api(client_with_models)
|
||||
|
||||
if isinstance(compat_client_with_empty_stores, LlamaStackClient):
|
||||
pytest.skip("Vector Store Files attach is not yet supported with LlamaStackClient")
|
||||
|
|
@ -777,7 +767,6 @@ def test_openai_vector_store_delete_file_removes_from_vector_store(compat_client
|
|||
def test_openai_vector_store_update_file(compat_client_with_empty_stores, client_with_models):
|
||||
"""Test OpenAI vector store update file."""
|
||||
skip_if_provider_doesnt_support_openai_vector_stores(client_with_models)
|
||||
skip_if_provider_doesnt_support_openai_vector_store_files_api(client_with_models)
|
||||
|
||||
if isinstance(compat_client_with_empty_stores, LlamaStackClient):
|
||||
pytest.skip("Vector Store Files update is not yet supported with LlamaStackClient")
|
||||
|
|
@ -826,7 +815,6 @@ def test_create_vector_store_files_duplicate_vector_store_name(compat_client_wit
|
|||
This test confirms that client.vector_stores.create() creates a unique ID
|
||||
"""
|
||||
skip_if_provider_doesnt_support_openai_vector_stores(client_with_models)
|
||||
skip_if_provider_doesnt_support_openai_vector_store_files_api(client_with_models)
|
||||
|
||||
if isinstance(compat_client_with_empty_stores, LlamaStackClient):
|
||||
pytest.skip("Vector Store Files create is not yet supported with LlamaStackClient")
|
||||
|
|
|
|||
Loading…
Add table
Add a link
Reference in a new issue