mirror of
https://github.com/BerriAI/litellm.git
synced 2026-09-27 01:22:18 +00:00
* ci: run the unit_selection.sh shard files on every event instead of only fork pull requests Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com> * ci: rename fork-flag to unit-flag now that it applies on every event * test: move tests/test_litellm root and small trees into tests/unit Pure renames, no content changes. Follow-up commits in this PR fix references, merge the three files that already existed in tests/unit, keep live-provider tests in tests/test_litellm and wire CI. * test: carry tests/test_litellm conftest isolation into tests/unit Callback lists, routing fallbacks, cached HTTP clients, logger state, AWS, proxy-URL and keychain env, and session-end client cleanup now reset for unit tests too. The environment isolation owns its MonkeyPatch so a test's own monkeypatch is undone before the model-cost teardown runs. * test: merge, split and prune the moved root and small-tree tests Merge batches/test_batch_utils.py and the chat_completions and messages dispatch tests into the files that already existed in tests/unit. Keep the live Gemini interactions tests, the async image-fetch format test and the OpenAI embedding scorer test in tests/test_litellm since they need real network or keys. Put test_router.py under tests/unit/test_router so the existing package no longer shadows it. Delete eight tests the audit found superseded by stronger ones kept in this move. * ci: run the moved root and small-tree tests under their legacy flags Add the misc and responses-caching-types flags to unit_selection.sh and CircleCI, extend enterprise-routing and mcp-integration, and point the legacy GHA shards, Makefile, redis-compat workflow, merge smoke manifest and change classifier at the new paths. * test: make the new tests/unit directories packages tests/unit/test_package_layout.py requires every directory to carry an __init__.py, and without one the moved and retained test_litellm_responses_bridge.py modules collide on import. * test: scope the unit socket block to tests/unit in shared sessions The GHA shards collect the legacy test-path and the unit selection in one pytest session. The unit conftest's loopback-only block leaked into legacy modules that reach the network at import. The legacy conftest now lifts the restriction at collect and setup time, and the unit conftest re-applies it when collecting its own modules. * test: give the shard-script tests their own GITHUB_OUTPUT They only passed where the runner set it. The CircleCI unit job's env allowlist drops it, so the script's redirect failed there. * test: point the router and module-deletion checks at tests/unit router_code_coverage and code_qa_check_tests only searched tests/test_litellm, so the moved router tests no longer counted. The two silent-experiment tests the audit deleted were the only direct callers of those methods; they are replaced with tests that assert the forwarded shadow request and the recursion guard. --------- Co-authored-by: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
99 lines
3.2 KiB
Python
99 lines
3.2 KiB
Python
import asyncio
|
|
from unittest.mock import AsyncMock, patch
|
|
|
|
from litellm.rag.ingestion.base_ingestion import BaseRAGIngestion
|
|
from litellm.rag.ingestion.openai_ingestion import OpenAIRAGIngestion
|
|
|
|
|
|
def test_openai_ingest_existing_file_id_attaches_without_uploading():
|
|
asyncio.run(_run_openai_existing_file_id_attach_test())
|
|
|
|
|
|
async def _run_openai_existing_file_id_attach_test():
|
|
ingestion = OpenAIRAGIngestion(
|
|
{
|
|
"chunking_strategy": {"type": "auto"},
|
|
"vector_store": {
|
|
"custom_llm_provider": "openai",
|
|
"vector_store_id": "vs_existing",
|
|
},
|
|
}
|
|
)
|
|
|
|
with (
|
|
patch(
|
|
"litellm.rag.ingestion.openai_ingestion.vector_store_file_acreate",
|
|
new_callable=AsyncMock,
|
|
) as mock_attach,
|
|
patch(
|
|
"litellm.rag.ingestion.openai_ingestion.litellm.acreate_file",
|
|
new_callable=AsyncMock,
|
|
) as mock_upload,
|
|
):
|
|
response = await ingestion.ingest(file_id="file_existing")
|
|
|
|
assert response["status"] == "completed"
|
|
assert response["vector_store_id"] == "vs_existing"
|
|
assert response["file_id"] == "file_existing"
|
|
mock_upload.assert_not_called()
|
|
mock_attach.assert_awaited_once_with(
|
|
vector_store_id="vs_existing",
|
|
file_id="file_existing",
|
|
custom_llm_provider="openai",
|
|
chunking_strategy={"type": "auto"},
|
|
api_key=None,
|
|
api_base=None,
|
|
)
|
|
|
|
|
|
def test_openai_ingest_existing_file_id_requires_vector_store_id():
|
|
asyncio.run(_run_openai_existing_file_id_requires_vector_store_id_test())
|
|
|
|
|
|
async def _run_openai_existing_file_id_requires_vector_store_id_test():
|
|
ingestion = OpenAIRAGIngestion({"vector_store": {"custom_llm_provider": "openai"}})
|
|
|
|
with (
|
|
patch(
|
|
"litellm.rag.ingestion.openai_ingestion.vector_store_acreate",
|
|
new_callable=AsyncMock,
|
|
) as mock_create_vector_store,
|
|
patch(
|
|
"litellm.rag.ingestion.openai_ingestion.vector_store_file_acreate",
|
|
new_callable=AsyncMock,
|
|
) as mock_attach,
|
|
):
|
|
response = await ingestion.ingest(file_id="file_existing")
|
|
|
|
assert response["status"] == "failed"
|
|
assert "vector_store_id is required" in response["error"]
|
|
mock_create_vector_store.assert_not_called()
|
|
mock_attach.assert_not_called()
|
|
|
|
|
|
class UnsupportedExistingFileIngestion(BaseRAGIngestion):
|
|
async def store(
|
|
self,
|
|
file_content: bytes | None,
|
|
filename: str | None,
|
|
content_type: str | None,
|
|
chunks: list[str],
|
|
embeddings: list[list[float]] | None,
|
|
existing_file_id: str | None = None,
|
|
) -> tuple[str | None, str | None]:
|
|
raise AssertionError("store should not be called for unsupported file_id")
|
|
|
|
|
|
def test_existing_file_id_fails_for_unsupported_ingestion_provider():
|
|
asyncio.run(_run_unsupported_existing_file_id_test())
|
|
|
|
|
|
async def _run_unsupported_existing_file_id_test():
|
|
ingestion = UnsupportedExistingFileIngestion(
|
|
{"vector_store": {"custom_llm_provider": "unsupported"}}
|
|
)
|
|
|
|
response = await ingestion.ingest(file_id="file_existing")
|
|
|
|
assert response["status"] == "failed"
|
|
assert "does not support ingesting an existing file_id" in response["error"]
|