text: import pytest
  
  from dagger.dag import DAG
  from dagger.input import FromNodeOutput, FromParam
  from dagger.output import FromReturnValue
  from dagger.runtime.argo.workflow import Workflow
  from dagger.runtime.argo.workflow_spec import _dag_task_with_param, workflow_spec
  from dagger.task import Task
  
  #
  # workflow_spec
  #
  
  
  def test__workflow_spec__simplest_dag():
      workflow = Workflow(
          container_image="my-image",
          container_entrypoint_to_dag_cli=["my", "dag", "entrypoint"],
      )
      dag = DAG(
          {
              "single-node": Task(lambda: 1),
          }
      )
  
      assert workflow_spec(dag, workflow) == {
          "entrypoint": "dag",
          "templates": [
              {
                  "name": "dag",
                  "inputs": {
                      "parameters": [
                          {"name": "name", "value": "dag"},
                      ],
                  },
                  "dag": {
                      "tasks": [
                          {
                              "name": "single-node",
                              "template": "dag-single-node",
                          },
                      ],
                  },
              },
              {
                  "name": "dag-single-node",
                  "container": {
                      "image": workflow.container_image,
                      "command": workflow.container_entrypoint_to_dag_cli,
                      "args": [
                          "--node-name",
                          "single-node",
                      ],
                  },
              },
          ],
      }
  
  
  def test__workflow_spec__nested_dags():
      workflow = Workflow(
          container_image="my-image",
          container_entrypoint_to_dag_cli=["my", "dag", "entrypoint"],
      )
  
      dag = DAG(
          {
              "a": Task(lambda: 1),
              "deeply": DAG(
                  {
                      "nested": DAG(
                          {
                              "a": Task(lambda: 1),
                          }
                      )
                  }
              ),
          },
      )
  
      assert workflow_spec(dag, workflow) == {
          "entrypoint": "dag",
          "templates": [
              {
                  "name": "dag",
                  "inputs": {
                      "parameters": [
                          {"name": "name", "value": "dag"},
                      ],
                  },
                  "dag": {
                      "tasks": [
                          {
                              "name": "a",
                              "template": "dag-a",
                          },
                          {
                              "name": "deeply",
                              "template": "dag-deeply",
                              "arguments": {
                                  "parameters": [
                                      {
                                          "name": "name",
                                          "value": "{{inputs.parameters.name}}-deeply",
                                      },
                                  ],
                              },
                          },
                      ],
                  },
              },
              {
                  "name": "dag-a",
                  "container": {
                      "image": workflow.container_image,
                      "command": workflow.container_entrypoint_to_dag_cli,
                      "args": [
                          "--node-name",
                          "a",
                      ],
                  },
              },
              {
                  "name": "dag-deeply",
                  "inputs": {
                      "parameters": [
                          {"name": "name"},
                      ],
                  },
                  "dag": {
                      "tasks": [
                          {
                              "name": "nested",
                              "template": "dag-deeply-nested",
                              "arguments": {
                                  "parameters": [
                                      {
                                          "name": "name",
                                          "value": "{{inputs.parameters.name}}-nested",
                                      },
                                  ],
                              },
                          },
                      ],
                  },
              },
              {
                  "name": "dag-deeply-nested",
                  "inputs": {
                      "parameters": [
                          {"name": "name"},
                      ],
                  },
                  "dag": {
                      "tasks": [
                          {
                              "name": "a",
                              "template": "dag-deeply-nested-a",
                          },
                      ],
                  },
              },
              {
                  "name": "dag-deeply-nested-a",
                  "container": {
                      "image": workflow.container_image,
                      "command": workflow.container_entrypoint_to_dag_cli,
                      "args": [
                          "--node-name",
                          "deeply.nested.a",
                      ],
                  },
              },
          ],
      }
  
  
  def test__workflow_spec__with_input_from_param_with_different_name():
      workflow = Workflow(
          container_image="my-image",
          container_entrypoint_to_dag_cli=["my", "dag", "entrypoint"],
          params={"a": 2},
      )
  
      dag = DAG(
          inputs=dict(a=FromParam()),
          outputs=dict(y=FromNodeOutput("times3", "x")),
          nodes=dict(
              times3=Task(
                  lambda b: b * 3,
                  inputs=dict(b=FromParam("a")),
                  outputs=dict(x=FromReturnValue()),
              )
          ),
      )
  
      spec = workflow_spec(dag, workflow)
  
      assert spec["arguments"]["parameters"] == [{"name": "a", "value": 2}]
      assert spec["templates"][0]["dag"]["tasks"][0]["arguments"]["artifacts"] == [
          {
              "name": "b",
              "from": "{{inputs.artifacts.a}}",
          }
      ]
  
  
  def test__workflow_spec__with_invalid_parameters():
      dag = DAG(
          nodes={
              "double": Task(
                  lambda x: x * 2,
                  inputs={"x": FromParam()},
                  outputs={"2x": FromReturnValue()},
              ),
          },
          inputs={"x": FromParam()},
          outputs={"2x": FromNodeOutput(node="double", output="2x")},
      )
  
      with pytest.raises(ValueError) as e:
          workflow_spec(dag, Workflow(container_image="my-image"))
  
      assert (
          str(e.value)
          == "The parameters supplied to this DAG were supposed to contain the following parameters: ['x']. However, only the following parameters were actually supplied: []. We are missing: ['x']."
      )
  
  
  def test__workflow_spec__with_template_overrides_that_affect_essential_attributes__fails():
      dag = DAG(
          {
              "n": Task(
                  lambda: 1,
                  runtime_options={
                      "argo_template_overrides": {
                          "container": {
                              "image": "a-different-image",
                          },
                          "name": "x",
                      }
                  },
              )
          }
      )
  
      with pytest.raises(ValueError) as e:
          workflow_spec(dag, Workflow(container_image="my-image"))
  
      assert (
          str(e.value)
          == "You are trying to override the value of 'n.container.image'. The Argo runtime already sets a value for this key, and it uses it to guarantee the correctness of the behavior. Therefore, we cannot let you override them."
      )
  
  
  def test__workflow_spec__with_task_overrides_that_affect_essential_attributes__fails():
      dag = DAG(
          {
              "n": Task(
                  lambda: 1,
                  runtime_options={
                      "argo_task_overrides": {
                          "name": "different-name",
                      }
                  },
              )
          }
      )
  
      with pytest.raises(ValueError) as e:
          workflow_spec(dag, Workflow(container_image="my-image"))
  
      assert (
          str(e.value)
          == "You are trying to override the value of 'n.name'. The Argo runtime already sets a value for this key, and it uses it to guarantee the correctness of the behavior. Therefore, we cannot let you override them."
      )
  
  
  def test__workflow_spec__with_container_overrides_that_affect_essential_attributes__fails():
      dag = DAG(
          {
              "n": Task(
                  lambda: 1,
                  runtime_options={
                      "argo_container_overrides": {
                          "image": "x",
                      }
                  },
              )
          }
      )
  
      with pytest.raises(ValueError) as e:
          workflow_spec(dag, Workflow(container_image="my-image"))
  
      assert (
          str(e.value)
          == "You are trying to override the value of 'n.image'. The Argo runtime already sets a value for this key, and it uses it to guarantee the correctness of the behavior. Therefore, we cannot let you override them."
      )
  
  
  def test__workflow_spec__with_task_overrides():
      container_image = "my-image"
      options = {
          "argo_task_overrides": {
              "continueOn": {
                  "failed": True,
              },
          },
          "argo_template_overrides": {
              "timeout": "31m",
              "retryStrategy": {
                  "limit": 11,
              },
              "priority": 3,
          },
          "argo_container_overrides": {
              "resources": {
                  "requests": {
                      "cpu": "500m",
                      "ephemeral-storage": "40Gi",
                  },
                  "limits": {
                      "memory": "8Gi",
                  },
              },
          },
      }
      dag = DAG(
          {
              "n": Task(
                  lambda: 1,
                  runtime_options=options,
              )
          }
      )
  
      assert workflow_spec(dag, Workflow(container_image=container_image)) == {
          "entrypoint": "dag",
          "templates": [
              {
                  "name": "dag",
                  "inputs": {
                      "parameters": [
                          {"name": "name", "value": "dag"},
                      ],
                  },
                  "dag": {
                      "tasks": [
                          {
                              "name": "n",
                              "template": "dag-n",
                              "continueOn": {
                                  "failed": True,
                              },
                          },
                      ],
                  },
              },
              {
                  "name": "dag-n",
                  "container": {
                      "image": container_image,
                      "args": ["--node-name", "n"],
                      "resources": {
                          "requests": {
                              "cpu": "500m",
                              "ephemeral-storage": "40Gi",
                          },
                          "limits": {
                              "memory": "8Gi",
                          },
                      },
                  },
                  "timeout": "31m",
                  "retryStrategy": {
                      "limit": 11,
                  },
                  "priority": 3,
              },
          ],
      }
  
  
  def test__workflow_spec__with_dag_template_overrides_that_affect_essential_attributes__fails():
      dag = DAG(
          {"n": Task(lambda: 1)},
          runtime_options={
              "argo_dag_template_overrides": {
                  "tasks": None,
              },
          },
      )
  
      with pytest.raises(ValueError) as e:
          workflow_spec(dag, Workflow(container_image="my-image"))
  
      assert (
          str(e.value)
          == "You are trying to override the value of 'DAG.tasks'. The Argo runtime already sets a value for this key, and it uses it to guarantee the correctness of the behavior. Therefore, we cannot let you override them."
      )
  
  
  def test__workflow_spec__with_dag_template_overrides():
      container_image = "my-image"
      options = {
          "argo_dag_template_overrides": {
              "failFast": False,
              "extraAttribute": "extra",
          },
      }
      dag = DAG(
          {"n": Task(lambda: 1)},
          runtime_options=options,
      )
  
      assert workflow_spec(dag, Workflow(container_image=container_image)) == {
          "entrypoint": "dag",
          "templates": [
              {
                  "name": "dag",
                  "inputs": {
                      "parameters": [
                          {"name": "name", "value": "dag"},
                      ],
                  },
                  "dag": {
                      "failFast": False,
                      "extraAttribute": "extra",
                      "tasks": [
                          {
                              "name": "n",
                              "template": "dag-n",
                          },
                      ],
                  },
              },
              {
                  "name": "dag-n",
                  "container": {
                      "image": container_image,
                      "args": ["--node-name", "n"],
                  },
              },
          ],
      }
  
  
  def test__workflow_spec__with_workflow_spec_overrides():
      workflow = Workflow(
          container_image="my-image",
          extra_spec_options={"suspend": True, "parallelism": 2},
      )
      dag = DAG({"n": Task(lambda: 1)})
  
      assert workflow_spec(dag, workflow) == {
          "entrypoint": "dag",
          "suspend": True,
          "parallelism": 2,
          "templates": [
              {
                  "name": "dag",
                  "inputs": {
                      "parameters": [
                          {"name": "name", "value": "dag"},
                      ],
                  },
                  "dag": {
                      "tasks": [
                          {
                              "name": "n",
                              "template": "dag-n",
                          },
                      ],
                  },
              },
              {
                  "name": "dag-n",
                  "container": {
                      "image": workflow.container_image,
                      "args": ["--node-name", "n"],
                  },
              },
          ],
      }
  
  
  def test__dag_task_with_param():
      assert (
          _dag_task_with_param("my-input", FromParam("parent-input"))
          == "{{workflow.parameters.parent-input}}"
      )
      assert (
          _dag_task_with_param("my-input", FromParam())
          == "{{workflow.parameters.my-input}}"
      )
      assert (
          _dag_task_with_param(
              "my-input", FromNodeOutput("another-node", "another-output")
          )
          == "{{tasks.another-node.outputs.parameters.another-output_partitions}}"
      )
  