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test(batches): annotate the new endpoint test locals with Final

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mateo-berri 2026-11-10 10:44:32 -08:00
parent 2617ad780e
commit c11902afe1
1 changed files with 14 additions and 14 deletions
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28
tests/unit/proxy/batches_endpoints/test_endpoints.py
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@ -1920,14 +1920,14 @@ def _hook_rewriting_the_batch_id_to(batch_id: str) -> Callable[..., LiteLLMBatch
@pytest.mark.asyncio
async def test_retrieve__provider_sync_keeps_the_endpoint_the_batch_was_created_for(retrieve_harness):
stored = make_batch(id="batch-unified-blob", status="validating").model_copy(update={"endpoint": "/v1/embeddings"})
provider_batch = make_batch(id="batch-raw-xyz", status="in_progress")
stored: Final = make_batch(id="batch-unified-blob", status="validating").model_copy(update={"endpoint": "/v1/embeddings"})
provider_batch: Final = make_batch(id="batch-raw-xyz", status="in_progress")
retrieve_harness.get_batch_from_db.return_value = (MagicMock(status="validating"), stored)
retrieve_harness.router.aretrieve_batch.return_value = provider_batch
retrieve_harness.logging.post_call_success_hook.side_effect = _hook_rewriting_the_batch_id_to("batch-unified-blob")
with patch.object(endpoints, "is_base64_encoded_unified_file_id", return_value=UNIFIED_BATCH_ID):
resp = await call_retrieve(retrieve_harness, "batch-unified-blob")
resp: Final = await call_retrieve(retrieve_harness, "batch-unified-blob")
assert (resp.endpoint, resp.status) == ("/v1/embeddings", "in_progress")
assert retrieve_harness.update_batch_in_db.call_args.kwargs["response"].endpoint == "/v1/embeddings"
@ -1938,15 +1938,15 @@ async def test_retrieve__provider_sync_keeps_the_endpoint_the_batch_was_created_
@pytest.mark.asyncio
async def test_retrieve__a_saved_batch_without_an_endpoint_keeps_the_providers(retrieve_harness):
stored = make_batch(id="batch-unified-blob", status="validating").model_copy(update={"endpoint": ""})
provider_batch = make_batch(id="batch-raw-xyz", status="in_progress").model_copy(
stored: Final = make_batch(id="batch-unified-blob", status="validating").model_copy(update={"endpoint": ""})
provider_batch: Final = make_batch(id="batch-raw-xyz", status="in_progress").model_copy(
update={"endpoint": "/v1/embeddings"}
)
retrieve_harness.get_batch_from_db.return_value = (MagicMock(status="validating"), stored)
retrieve_harness.router.aretrieve_batch.return_value = provider_batch
with patch.object(endpoints, "is_base64_encoded_unified_file_id", return_value=UNIFIED_BATCH_ID):
resp = await call_retrieve(retrieve_harness, "batch-unified-blob")
resp: Final = await call_retrieve(retrieve_harness, "batch-unified-blob")
assert resp.endpoint == "/v1/embeddings"
assert retrieve_harness.update_batch_in_db.call_args.kwargs["response"].endpoint == "/v1/embeddings"
@ -1954,17 +1954,17 @@ async def test_retrieve__a_saved_batch_without_an_endpoint_keeps_the_providers(r
@pytest.mark.asyncio
async def test_retrieve__an_embeddings_endpoint_from_the_provider_corrects_a_saved_chat_endpoint(retrieve_harness):
stored = make_batch(id="batch-unified-blob", status="validating").model_copy(
stored: Final = make_batch(id="batch-unified-blob", status="validating").model_copy(
update={"endpoint": "/v1/chat/completions"}
)
provider_batch = make_batch(id="batch-raw-xyz", status="in_progress").model_copy(
provider_batch: Final = make_batch(id="batch-raw-xyz", status="in_progress").model_copy(
update={"endpoint": "/v1/embeddings"}
)
retrieve_harness.get_batch_from_db.return_value = (MagicMock(status="validating"), stored)
retrieve_harness.router.aretrieve_batch.return_value = provider_batch
with patch.object(endpoints, "is_base64_encoded_unified_file_id", return_value=UNIFIED_BATCH_ID):
resp = await call_retrieve(retrieve_harness, "batch-unified-blob")
resp: Final = await call_retrieve(retrieve_harness, "batch-unified-blob")
assert resp.endpoint == "/v1/embeddings"
assert retrieve_harness.update_batch_in_db.call_args.kwargs["response"].endpoint == "/v1/embeddings"
@ -2740,9 +2740,9 @@ async def test_cancel__db_write_receives_caller_auth(cancel_harness):
@pytest.mark.asyncio
async def test_cancel__keeps_the_endpoint_the_batch_was_created_for(cancel_harness):
stored_row = MagicMock(status="in_progress")
stored = make_batch(id="batch-unified-blob", status="in_progress").model_copy(update={"endpoint": "/v1/embeddings"})
provider_batch = make_batch(id="batch-raw-xyz", status="cancelling")
stored_row: Final = MagicMock(status="in_progress")
stored: Final = make_batch(id="batch-unified-blob", status="in_progress").model_copy(update={"endpoint": "/v1/embeddings"})
provider_batch: Final = make_batch(id="batch-raw-xyz", status="cancelling")
cancel_harness.router.acancel_batch.return_value = provider_batch
cancel_harness.logging.post_call_success_hook.side_effect = _hook_rewriting_the_batch_id_to("batch-unified-blob")
@ -2750,10 +2750,10 @@ async def test_cancel__keeps_the_endpoint_the_batch_was_created_for(cancel_harne
patch.object(endpoints, "is_base64_encoded_unified_file_id", return_value=UNIFIED_BATCH_ID),
patch.object(endpoints, "get_batch_from_database", AsyncMock(return_value=(stored_row, stored))),
):
resp = await call_cancel(cancel_harness, "batch-unified-blob")
resp: Final = await call_cancel(cancel_harness, "batch-unified-blob")
assert (resp.endpoint, resp.status) == ("/v1/embeddings", "cancelling")
written = cancel_harness.update_batch_in_db.call_args.kwargs
written: Final = cancel_harness.update_batch_in_db.call_args.kwargs
assert (written["response"].endpoint, written["db_batch_object"]) == ("/v1/embeddings", stored_row)
assert cancel_harness.logging.post_call_success_hook.call_args.kwargs["response"].endpoint == "/v1/embeddings"
assert (provider_batch.id, provider_batch.endpoint) == ("batch-unified-blob", "/v1/embeddings")