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Merge pull request #18535 from mvdbeek/runtime_input_map_over_fix
[24.1] Fix map over calculation for runtime inputs
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@@ -3,6 +3,8 @@ from typing import (
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Any,
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Dict,
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List,
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Sequence,
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Union,
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)
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from galaxy.tools.parameters.basic import (
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@@ -187,6 +189,26 @@ def process_key(incoming_key: str, incoming_value: Any, d: Dict[str, Any]):
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process_key("|".join(key_parts[1:]), incoming_value=incoming_value, d=subdict)
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def nested_key_to_path(key: str) -> Sequence[Union[str, int]]:
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"""
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Convert a tool state key that is separated with '|' and '_n' into path iterable.
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E.g. "cond|repeat_0|paramA" -> ["cond", "repeat", 0, "paramA"].
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Return value can be used with `boltons.iterutils.get_path`.
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"""
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path: List[Union[str, int]] = []
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key_parts = key.split("|")
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if len(key_parts) == 1:
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return key_parts
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for key_part in key_parts:
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if "_" in key_part:
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input_name, _index = key_part.rsplit("_", 1)
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if _index.isdigit():
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path.extend((input_name, int(_index)))
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continue
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path.append(key_part)
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return path
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def flat_to_nested_state(incoming: Dict[str, Any]):
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nested_state: Dict[str, Any] = {}
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for key, value in incoming.items():
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@@ -194,4 +216,11 @@ def flat_to_nested_state(incoming: Dict[str, Any]):
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return nested_state
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__all__ = ("LegacyUnprefixedDict", "WrappedParameters", "make_dict_copy", "process_key", "flat_to_nested_state")
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__all__ = (
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"LegacyUnprefixedDict",
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"WrappedParameters",
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"make_dict_copy",
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"process_key",
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"flat_to_nested_state",
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"nested_key_to_path",
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)
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@@ -10,6 +10,7 @@ from typing import (
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Union,
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)
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from boltons.iterutils import get_path
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from typing_extensions import Protocol
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from galaxy import model
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@@ -35,6 +36,7 @@ from galaxy.schema.invocation import (
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WarningReason,
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)
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from galaxy.tools.parameters.basic import raw_to_galaxy
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from galaxy.tools.parameters.wrapped import nested_key_to_path
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from galaxy.util import ExecutionTimer
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from galaxy.workflow import modules
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from galaxy.workflow.run_request import (
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@@ -444,6 +446,10 @@ class WorkflowProgress:
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replacement = temp
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else:
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replacement = self.replacement_for_connection(connection[0], is_data=is_data)
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elif step.state and (state_input := get_path(step.state.inputs, nested_key_to_path(prefixed_name), None)):
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# workflow submitted with step parameters populates state directly
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# via populate_module_and_state
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replacement = state_input
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else:
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for step_input in step.inputs:
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if step_input.name == prefixed_name and step_input.default_value_set:
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@@ -6982,6 +6982,35 @@ steps:
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# Take a valid stat and make it invalid, assert workflow won't run.
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self._assert_status_code_is(invocation_response, 400)
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@skip_without_tool("collection_paired_test")
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def test_run_map_over_with_step_parameter_dict(self):
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# Tests what the legacy run form submits
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with self.dataset_populator.test_history() as history_id:
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hdca = self.dataset_collection_populator.create_list_of_pairs_in_history(history_id).json()["outputs"][0]
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workflow_id = self._upload_yaml_workflow(
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"""
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class: GalaxyWorkflow
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steps:
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"0":
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tool_id: collection_paired_conditional_structured_like
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state:
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cond:
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input1:
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__class__: RuntimeValue
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"""
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)
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workflow_request = {
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"history": f"hist_id={history_id}",
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"parameters": dumps({"0": {"cond|input1": {"values": [{"id": hdca["id"], "src": "hdca"}]}}}),
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"parameters_normalized": True,
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}
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url = f"workflows/{workflow_id}/invocations"
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invocation_response = self._post(url, data=workflow_request, json=True)
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invocation_response.raise_for_status()
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self.workflow_populator.wait_for_invocation_and_jobs(
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history_id=history_id, workflow_id=workflow_id, invocation_id=invocation_response.json()["id"]
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)
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@skip_without_tool("validation_default")
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def test_parameter_substitution_validation_value_errors_1(self):
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substitions = dict(select_param='" ; echo "moo')
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@@ -3,10 +3,28 @@ from typing import (
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Dict,
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)
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from galaxy.tools.parameters.wrapped import process_key
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from galaxy.tools.parameters.wrapped import (
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nested_key_to_path,
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process_key,
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)
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from .util import BaseParameterTestCase
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def test_nested_key_to_path():
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assert nested_key_to_path("param") == ["param"]
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assert nested_key_to_path("param_x") == ["param_x"]
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assert nested_key_to_path("cond|param_x") == ["cond", "param_x"]
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assert nested_key_to_path("param_") == ["param_"]
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assert nested_key_to_path("cond|param_") == ["cond", "param_"]
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assert nested_key_to_path("repeat_1|inner_repeat_1|data_table_column_value") == [
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"repeat",
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1,
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"inner_repeat",
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1,
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"data_table_column_value",
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]
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class TestProcessKey:
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def test_process_key(self):
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nested_dict: Dict[str, Any] = {}
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