litellm/tests/unit/test_retrieve_batch_bedrock_dispatch.py
yuneng-jiang f6882246d4
test: move tests/test_litellm root and small trees into tests/unit (#43186)
* 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found superseded by stronger ones kept in this move.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>
2026-09-25 11:30:43 -07:00

160 lines
5.6 KiB
Python

"""Cover the Bedrock-ARN dispatch in ``litellm.batches.main.retrieve_batch``.
The dispatch picks one of two Bedrock handlers depending on the ARN
family in ``batch_id``:
* ``:async-invoke/<id>`` -> ``_handle_async_invoke_status`` (data plane)
* ``:model-invocation-job/<id>`` -> ``_handle_model_invocation_job_status``
(control plane, added in this PR)
Anything else falls through to the generic ``provider_config`` retrieve
flow. We mock the two handlers so the tests don't hit AWS — the focus
here is purely the dispatch logic that lives in ``main.py``.
"""
from __future__ import annotations
from unittest.mock import MagicMock, patch
import pytest
import litellm # noqa: E402
import openai
ASYNC_INVOKE_ARN = "arn:aws:bedrock:us-west-2:123456789012:async-invoke/abc123def456"
MIJ_ARN = "arn:aws:bedrock:us-west-2:123456789012:model-invocation-job/abc1234567"
@pytest.fixture
def mock_handlers():
"""Patch both Bedrock retrieve handlers and yield the mocks.
We patch at the import site (litellm.batches.main) rather than the
definition site so the ``BedrockBatchesHandler`` reference inside
``retrieve_batch`` resolves to our mocks.
"""
fake_batch = MagicMock(name="LiteLLMBatch")
with (
patch(
"litellm.batches.main.BedrockBatchesHandler._handle_async_invoke_status",
return_value=fake_batch,
) as async_invoke,
patch(
"litellm.batches.main.BedrockBatchesHandler._handle_model_invocation_job_status",
return_value=fake_batch,
) as mij,
):
yield async_invoke, mij, fake_batch
def test_async_invoke_arn_routes_to_async_invoke_handler(mock_handlers):
"""``:async-invoke/`` ARNs go to the data-plane handler."""
async_invoke, mij, fake_batch = mock_handlers
result = litellm.retrieve_batch(
batch_id=ASYNC_INVOKE_ARN,
custom_llm_provider="bedrock",
aws_region_name="us-west-2",
)
assert result is fake_batch
async_invoke.assert_called_once()
mij.assert_not_called()
call_kwargs = async_invoke.call_args.kwargs
assert call_kwargs["batch_id"] == ASYNC_INVOKE_ARN
assert call_kwargs["aws_region_name"] == "us-west-2"
# Region must be stripped from the forwarded kwargs to avoid TypeError
# (it's already an explicit positional/keyword arg).
assert "aws_region_name" not in {
k
for k in call_kwargs
if k not in {"batch_id", "aws_region_name", "logging_obj"}
}
def test_async_invoke_arn_falls_back_to_default_region_when_unset(mock_handlers):
"""If no ``aws_region_name`` is passed, the data-plane handler defaults
to ``us-east-1`` (preserving prior behavior on this branch)."""
async_invoke, _mij, _ = mock_handlers
litellm.retrieve_batch(
batch_id=ASYNC_INVOKE_ARN,
custom_llm_provider="bedrock",
)
async_invoke.assert_called_once()
assert async_invoke.call_args.kwargs["aws_region_name"] == "us-east-1"
def test_model_invocation_job_arn_routes_to_mij_handler(mock_handlers):
"""``:model-invocation-job/`` ARNs go to the new control-plane handler."""
_async_invoke, mij, fake_batch = mock_handlers
result = litellm.retrieve_batch(
batch_id=MIJ_ARN,
custom_llm_provider="bedrock",
aws_region_name="us-west-2",
)
assert result is fake_batch
mij.assert_called_once()
_async_invoke.assert_not_called()
call_kwargs = mij.call_args.kwargs
assert call_kwargs["batch_id"] == MIJ_ARN
assert call_kwargs["aws_region_name"] == "us-west-2"
def test_model_invocation_job_arn_with_no_region_passes_none(mock_handlers):
"""The MIJ handler is responsible for sniffing region from the ARN
when none is explicitly provided. Dispatch must forward ``None``
rather than substituting a default — otherwise per-region jobs in
other AWS regions would silently route to ``us-east-1``."""
_async_invoke, mij, _ = mock_handlers
litellm.retrieve_batch(
batch_id=MIJ_ARN,
custom_llm_provider="bedrock",
)
mij.assert_called_once()
assert mij.call_args.kwargs["aws_region_name"] is None
def test_unrelated_bedrock_arn_falls_through_to_provider_config(mock_handlers):
"""Bedrock ARNs that aren't async-invoke or model-invocation-job
must NOT hit either special handler — they should fall through to
the existing generic provider_config path. We don't fully exercise
that path here (it requires a real provider config); we just assert
neither special handler is invoked."""
async_invoke, mij, _ = mock_handlers
# Use a plausible-but-unsupported Bedrock ARN family.
unrelated_arn = "arn:aws:bedrock:us-west-2:123456789012:provisioned-model/xyz"
with pytest.raises(litellm.BadRequestError):
# Will raise because no provider_config exists for this path —
# that's fine, we just need to assert neither bedrock handler ran
# before the failure.
litellm.retrieve_batch(
batch_id=unrelated_arn,
custom_llm_provider="bedrock",
)
async_invoke.assert_not_called()
mij.assert_not_called()
def test_non_bedrock_id_skips_bedrock_dispatch_entirely(mock_handlers):
"""Plain (non-ARN) batch ids must not even enter the Bedrock dispatch
block — they belong to other providers' retrieve flows."""
async_invoke, mij, _ = mock_handlers
with pytest.raises(openai.OpenAIError):
litellm.retrieve_batch(
batch_id="batch_abc123",
custom_llm_provider="openai",
)
async_invoke.assert_not_called()
mij.assert_not_called()