test: Increase total test coverage and reduce E2E tests

.github/workflows/_tests.yaml

@@ -36,7 +36,7 @@ jobs:
     runs-on: ${{ matrix.os }}
 
     env:
-      TESTS_CONCURRENCY: "16"
+      TESTS_CONCURRENCY: "8"
 
     steps:
       - name: Checkout repository
@@ -85,11 +85,15 @@ jobs:
         (github.event_name == 'push' && github.ref == 'refs/heads/master')
       }}
 
+    # E2E tests build and run Actors on the platform. The combination of max-parallel 2 with 16 pytest
+    # workers and a global concurrency group is a compromise between stability and performance - it keeps
+    # the platform's resource usage in check while still allowing reasonable test throughput.
+    concurrency:
+      group: e2e-tests
+      cancel-in-progress: false
+
     strategy:
-      # E2E tests build and run Actors on the platform. Limit parallel workflows to 1 to avoid exceeding
-      # the platform's memory limits. A single workflow with 16 pytest workers provides good test
-      # parallelization while staying within platform constraints.
-      max-parallel: 1
+      max-parallel: 2
       matrix:
         os: ["ubuntu-latest"]
         python-version: ["3.10", "3.14"]

src/apify/_utils.py

@@ -21,8 +21,7 @@ def get_system_info() -> dict:
         'os': sys.platform,
     }
 
-    if is_running_in_ipython():
-        system_info['is_running_in_ipython'] = True
+    system_info['is_running_in_ipython'] = is_running_in_ipython()
 
     return system_info
 

tests/e2e/test_actor_dataset.py

@@ -2,151 +2,12 @@
 
 from typing import TYPE_CHECKING
 
-from apify_shared.consts import ApifyEnvVars
-
-from ._utils import generate_unique_resource_name
 from apify import Actor
 
 if TYPE_CHECKING:
-    import pytest
-
-    from apify_client import ApifyClientAsync
-
     from .conftest import MakeActorFunction, RunActorFunction
 
 
-async def test_push_and_verify_data_in_default_dataset(
-    make_actor: MakeActorFunction,
-    run_actor: RunActorFunction,
-) -> None:
-    desired_item_count = 100  # Also change inside main() if you're changing this
-
-    async def main() -> None:
-        desired_item_count = 100
-        async with Actor:
-            await Actor.push_data([{'id': i} for i in range(desired_item_count)])
-
-    actor = await make_actor(label='push-data', main_func=main)
-    run_result = await run_actor(actor)
-
-    assert run_result.status == 'SUCCEEDED'
-
-    list_page = await actor.last_run().dataset().list_items()
-    assert list_page.items[0]['id'] == 0
-    assert list_page.items[-1]['id'] == desired_item_count - 1
-    assert len(list_page.items) == list_page.count == desired_item_count
-
-
-async def test_push_large_data_chunks_over_9mb(
-    make_actor: MakeActorFunction,
-    run_actor: RunActorFunction,
-) -> None:
-    async def main() -> None:
-        async with Actor:
-            await Actor.push_data([{'str': 'x' * 10000} for _ in range(5000)])  # ~50MB
-
-    actor = await make_actor(label='push-data-over-9mb', main_func=main)
-    run_result = await run_actor(actor)
-
-    assert run_result.status == 'SUCCEEDED'
-
-    async for item in actor.last_run().dataset().iterate_items():
-        assert item['str'] == 'x' * 10000
-
-
-async def test_dataset_iter_items(
-    make_actor: MakeActorFunction,
-    run_actor: RunActorFunction,
-) -> None:
-    async def main() -> None:
-        inserted_data = {'Something': 'something else'}
-
-        async with Actor:
-            dataset = await Actor.open_dataset()
-            await dataset.push_data(inserted_data)
-            requested_data = [item async for item in dataset.iterate_items()]
-
-            assert len(requested_data) == 1
-            assert requested_data[0] == inserted_data
-
-    actor = await make_actor(label='test_dataset_iter_items', main_func=main)
-    run_result = await run_actor(actor)
-    assert run_result.status == 'SUCCEEDED'
-
-
-async def test_same_references_in_default_dataset(
-    make_actor: MakeActorFunction,
-    run_actor: RunActorFunction,
-) -> None:
-    async def main() -> None:
-        async with Actor:
-            dataset1 = await Actor.open_dataset()
-            dataset2 = await Actor.open_dataset()
-            assert dataset1 is dataset2
-
-    actor = await make_actor(label='dataset-same-ref-default', main_func=main)
-    run_result = await run_actor(actor)
-
-    assert run_result.status == 'SUCCEEDED'
-
-
-async def test_same_references_in_named_dataset(
-    make_actor: MakeActorFunction,
-    run_actor: RunActorFunction,
-) -> None:
-    dataset_name = generate_unique_resource_name('dataset')
-
-    async def main() -> None:
-        async with Actor:
-            input_object = await Actor.get_input()
-            dataset_name = input_object['datasetName']
-            dataset_by_name_1 = await Actor.open_dataset(name=dataset_name)
-            dataset_by_name_2 = await Actor.open_dataset(name=dataset_name)
-            assert dataset_by_name_1 is dataset_by_name_2
-
-            dataset_1_metadata = await dataset_by_name_1.get_metadata()
-            dataset_by_id_1 = await Actor.open_dataset(id=dataset_1_metadata.id)
-            dataset_by_id_2 = await Actor.open_dataset(id=dataset_1_metadata.id)
-            assert dataset_by_id_1 is dataset_by_name_1
-            assert dataset_by_id_2 is dataset_by_id_1
-
-            await dataset_by_name_1.drop()
-
-    actor = await make_actor(label='dataset-same-ref-named', main_func=main)
-    run_result = await run_actor(actor, run_input={'datasetName': dataset_name})
-
-    assert run_result.status == 'SUCCEEDED'
-
-
-async def test_force_cloud(
-    apify_client_async: ApifyClientAsync,
-    monkeypatch: pytest.MonkeyPatch,
-) -> None:
-    assert apify_client_async.token is not None
-    monkeypatch.setenv(ApifyEnvVars.TOKEN, apify_client_async.token)
-
-    dataset_name = generate_unique_resource_name('dataset')
-    dataset_item = {'foo': 'bar'}
-
-    async with Actor:
-        dataset = await Actor.open_dataset(name=dataset_name, force_cloud=True)
-        dataset_id = (await dataset.get_metadata()).id
-
-        await dataset.push_data(dataset_item)
-
-    dataset_client = apify_client_async.dataset(dataset_id)
-
-    try:
-        dataset_details = await dataset_client.get()
-        assert dataset_details is not None
-        assert dataset_details.get('name') == dataset_name
-
-        dataset_items = await dataset_client.list_items()
-        assert dataset_items.items == [dataset_item]
-    finally:
-        await dataset_client.delete()
-
-
 async def test_dataset_defaults(
     make_actor: MakeActorFunction,
     run_actor: RunActorFunction,

tests/e2e/test_actor_events.py

@@ -71,38 +71,3 @@ async def log_event(data: Any) -> None:
     ]
     assert len(persist_state_events) > 2
     assert len(system_info_events) > 0
-
-
-async def test_event_listener_can_be_removed_successfully(
-    make_actor: MakeActorFunction,
-    run_actor: RunActorFunction,
-) -> None:
-    async def main() -> None:
-        import os
-        from typing import Any
-
-        from apify_shared.consts import ApifyEnvVars
-        from crawlee.events._types import Event
-
-        os.environ[ApifyEnvVars.PERSIST_STATE_INTERVAL_MILLIS] = '100'
-
-        counter = 0
-
-        def count_event(data: Any) -> None:
-            nonlocal counter
-            print(data)
-            counter += 1
-
-        async with Actor:
-            Actor.on(Event.PERSIST_STATE, count_event)
-            await asyncio.sleep(0.5)
-            assert counter > 1
-            last_count = counter
-            Actor.off(Event.PERSIST_STATE, count_event)
-            await asyncio.sleep(0.5)
-            assert counter == last_count
-
-    actor = await make_actor(label='actor-off-event', main_func=main)
-    run_result = await run_actor(actor)
-
-    assert run_result.status == 'SUCCEEDED'