text: import pathlib
  import pytest
  import sys
  import textwrap
  from neuro_sdk import Client
  from typing import AsyncContextManager, AsyncIterator, Callable, Mapping
  
  from neuro_flow.batch_runner import (
      ImageRefNotUniqueError,
      build_graphs,
      check_image_refs_unique,
      check_local_deps,
      check_no_cycles,
      iter_flows,
      upload_image_data,
  )
  from neuro_flow.colored_topo_sorter import CycleError
  from neuro_flow.config_loader import BatchLocalCL, ConfigLoader
  from neuro_flow.context import EarlyBatchAction, RunningBatchFlow
  from neuro_flow.expr import MultiError
  from neuro_flow.parser import ConfigDir
  from neuro_flow.storage.base import BakeImage, BakeMeta, Storage
  from neuro_flow.storage.in_memory import InMemoryStorage
  
  
  if sys.version_info >= (3, 7):  # pragma: no cover
      from contextlib import asynccontextmanager
  else:
      from async_generator import asynccontextmanager
  
  BatchClFactory = Callable[[str], AsyncContextManager[ConfigLoader]]
  
  
  @pytest.fixture
  async def batch_cl_factory(
      loop: None,
      assets: pathlib.Path,
      client: Client,
  ) -> Callable[[str], AsyncContextManager[ConfigLoader]]:
      @asynccontextmanager
      async def _factory(subpath: str = "") -> AsyncIterator[ConfigLoader]:
          config_dir = ConfigDir(
              workspace=assets / subpath,
              config_dir=assets / subpath,
          )
          cl = BatchLocalCL(config_dir, client)
          yield cl
          await cl.close()
  
      return _factory
  
  
  @pytest.fixture()
  def batch_storage(loop: None) -> Storage:
      return InMemoryStorage()
  
  
  async def test_iter_flows(batch_cl_factory: BatchClFactory) -> None:
      async with batch_cl_factory("early_graph") as cl:
          flow = await RunningBatchFlow.create(cl, "batch", "bake-id")
          prefix2flow = {prefix: flow async for prefix, flow in iter_flows(flow)}
  
          assert prefix2flow[()] == flow
          action_flow = prefix2flow[("second",)]
          assert isinstance(action_flow, EarlyBatchAction)
          assert action_flow._action == (await flow.get_action_early("second"))._action
  
          action_flow = prefix2flow[("third",)]
          assert isinstance(action_flow, EarlyBatchAction)
          assert action_flow._action == (await flow.get_action_early("third"))._action
  
  
  async def test_check_no_cycles(batch_cl_factory: BatchClFactory) -> None:
      async with batch_cl_factory("") as cl:
          flow = await RunningBatchFlow.create(cl, "batch-cycle", "bake-id")
          with pytest.raises(CycleError):
              await check_no_cycles(flow)
  
  
  async def test_check_cycles(batch_cl_factory: BatchClFactory) -> None:
      async with batch_cl_factory("") as cl:
          flow = await RunningBatchFlow.create(cl, "batch-cycle", "bake-id")
          with pytest.raises(CycleError):
              await check_no_cycles(flow)
  
  
  async def test_local_deps_on_remote_1(batch_cl_factory: BatchClFactory) -> None:
      async with batch_cl_factory("local_actions") as cl:
          flow = await RunningBatchFlow.create(cl, "bad-order", "bake-id")
          with pytest.raises(
              Exception, match=r"Local action 'local' depends on remote task 'remote'"
          ):
              await check_local_deps(flow)
  
  
  async def test_local_deps_on_remote_2(batch_cl_factory: BatchClFactory) -> None:
      async with batch_cl_factory("local_actions") as cl:
          flow = await RunningBatchFlow.create(cl, "bad-order-through-action", "bake-id")
          with pytest.raises(
              Exception,
              match=r"Local action 'local' depends on "
              r"remote task 'call_action.remote_task'",
          ):
              await check_local_deps(flow)
  
  
  async def test_graphs(batch_cl_factory: BatchClFactory) -> None:
      async with batch_cl_factory("") as cl:
          flow = await RunningBatchFlow.create(cl, "batch-action-call", "bake-id")
          graphs = await build_graphs(flow)
          assert graphs == {
              (): {("test",): set()},
              ("test",): {
                  ("test", "task_1"): set(),
                  ("test", "task_2"): {("test", "task_1")},
              },
          }
  
  
  async def test_early_graph(batch_cl_factory: BatchClFactory) -> None:
      async with batch_cl_factory("early_graph") as cl:
          flow = await RunningBatchFlow.create(cl, "batch", "bake-id")
          graphs = await build_graphs(flow)
          assert graphs == {
              (): {
                  ("first_ac",): set(),
                  ("second",): {("first_ac",)},
                  ("third",): {("first_ac",)},
              },
              ("first_ac",): {("first_ac", "task_2"): set()},
              ("second",): {
                  ("second", "task-1-o3-t3"): set(),
                  ("second", "task-1-o1-t1"): set(),
                  ("second", "task-1-o2-t1"): set(),
                  ("second", "task-1-o2-t2"): set(),
                  ("second", "task_2"): {
                      ("second", "task-1-o3-t3"),
                      ("second", "task-1-o1-t1"),
                      ("second", "task-1-o2-t1"),
                      ("second", "task-1-o2-t2"),
                  },
              },
              ("third",): {
                  ("third", "task-1-o3-t3"): set(),
                  ("third", "task-1-o1-t1"): set(),
                  ("third", "task-1-o2-t1"): set(),
                  ("third", "task-1-o2-t2"): set(),
                  ("third", "task_2"): {
                      ("third", "task-1-o3-t3"),
                      ("third", "task-1-o1-t1"),
                      ("third", "task-1-o2-t1"),
                      ("third", "task-1-o2-t2"),
                  },
              },
          }
  
  
  async def test_check_image_refs_unique(batch_cl_factory: BatchClFactory) -> None:
      async with batch_cl_factory("batch_images") as cl:
          flow = await RunningBatchFlow.create(cl, "duplicate_ref", "bake-id")
          with pytest.raises(MultiError) as err_info:
              await check_image_refs_unique(flow)
      err = err_info.value
      assert isinstance(err, MultiError)
      assert len(err.errors) == 1
      inner_err = err.errors[0]
  
      assert isinstance(inner_err, ImageRefNotUniqueError)
      ws = cl.workspace
      assert str(inner_err) == textwrap.dedent(
          f"""\
          Image with ref 'image:banana1' defined multiple times with different attributes:
          at "{ws / "duplicate_ref.yml"}", line 4, column 5 with params:
            context: {ws / "dir"}
            dockerfile: {ws / "dir/Dockerfile_differ"}
          at "{ws / "action.yml"}", line 10, column 5 with params:
            context: {ws / "dir"}
            dockerfile: {ws / "dir/Dockerfile"}
      """.rstrip()
      )
  
  
  async def test_check_image_refs_unique_same_defs(
      batch_cl_factory: BatchClFactory,
  ) -> None:
      async with batch_cl_factory("batch_images") as cl:
          flow = await RunningBatchFlow.create(cl, "duplicate_ref_same", "bake-id")
          # Should not raise an exception
          await check_image_refs_unique(flow)
  
  
  async def test_upload_image_data(
      batch_cl_factory: BatchClFactory,
      batch_storage: Storage,
      assets: pathlib.Path,
  ) -> None:
      async with batch_cl_factory("batch_images") as cl:
          flow = await RunningBatchFlow.create(cl, "batch", "bake-id")
          project = await batch_storage.get_or_create_project("test")
          project_storage = batch_storage.project(id=project.id)
          bake = await project_storage.create_bake(
              batch="batch",
              params=None,
              name=None,
              graphs={},
              tags=[],
              meta=BakeMeta(None),
          )
          bake_storage = project_storage.bake(id=bake.id)
  
          runs = []
  
          async def _fake_run_cli(*args: str) -> None:
              runs.append(args)
  
          await upload_image_data(flow, _fake_run_cli, bake_storage)
  
          ref2img: Mapping[str, BakeImage] = {
              image.ref: image async for image in bake_storage.list_bake_images()
          }
          assert ref2img.keys() == {"image:main", "image:banana1", "image:banana2"}
          for ref in {"image:main", "image:banana1"}:
              img = ref2img[ref]
              assert img.context_on_storage
              assert img.dockerfile_rel == "Dockerfile"
              assert any(
                  run == ("mkdir", "--parents", str(img.context_on_storage))
                  for run in runs
              )
              assert any(
                  run
                  == (
                      "cp",
                      "--recursive",
                      "--update",
                      "--no-target-directory",
                      str(assets / "batch_images/dir"),
                      str(img.context_on_storage),
                  )
                  for run in runs
              )
  