155 lines
4.8 KiB
Python
155 lines
4.8 KiB
Python
from __future__ import annotations
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from typing import Any, cast
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import pytest
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from pydantic import ValidationError
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from wf_core.models.steps import InputExpressionBinding
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from wf_transport_rpc_http.models import (
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CreateScheduleParams,
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InspectCapabilityParams,
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ListCapabilitiesParams,
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ReadRunTraceParams,
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SetStepInputBindingsParams,
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SetWorkflowOutputBindingsParams,
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StartRunParams,
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TraceRangeParams,
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UpdateScheduleParams,
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)
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def test_trace_range_params_converts_to_api_trace_range() -> None:
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trace_range = TraceRangeParams(start=2, limit=5).to_api_trace_range()
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assert trace_range.start == 2
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assert trace_range.limit == 5
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def test_trace_range_params_rejects_invalid_values() -> None:
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with pytest.raises(ValidationError):
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TraceRangeParams(start=-1, limit=5)
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with pytest.raises(ValidationError):
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TraceRangeParams(start=0, limit=0)
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with pytest.raises(ValidationError):
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TraceRangeParams(start=0, limit=101)
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def test_capability_params_are_explicit_models() -> None:
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listed = ListCapabilitiesParams(query="echo", source_id="wf.std", limit=10)
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inspected = InspectCapabilityParams(qualified_name="wf.std.constant")
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assert listed.query == "echo"
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assert listed.source_id == "wf.std"
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assert listed.limit == 10
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assert inspected.qualified_name == "wf.std.constant"
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def test_run_params_are_explicit_models() -> None:
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started = StartRunParams(
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deployment_id="demo.default",
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workflow_input={"message": "hello"},
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trace_range=TraceRangeParams(start=0, limit=3),
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)
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trace = ReadRunTraceParams(
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run_id="run_demo",
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trace_range=TraceRangeParams(start=0, limit=1),
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)
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assert started.deployment_id == "demo.default"
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assert started.workflow_input["message"] == "hello"
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assert started.trace_range is not None
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assert trace.run_id == "run_demo"
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assert trace.trace_range.limit == 1
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def test_update_schedule_params_match_create_numeric_constraints() -> None:
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valid = UpdateScheduleParams(
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schedule_id="schedule",
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expected_revision=1,
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max_active_runs=2,
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lateness_allowance_s=0,
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max_steps=10,
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)
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assert valid.max_active_runs == 2
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assert valid.lateness_allowance_s == 0
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assert valid.max_steps == 10
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with pytest.raises(ValidationError):
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UpdateScheduleParams(
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schedule_id="schedule", expected_revision=1, max_active_runs=0
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)
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with pytest.raises(ValidationError):
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UpdateScheduleParams(
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schedule_id="schedule", expected_revision=1, lateness_allowance_s=-1
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)
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with pytest.raises(ValidationError):
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UpdateScheduleParams(schedule_id="schedule", expected_revision=1, max_steps=0)
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with pytest.raises(ValidationError):
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UpdateScheduleParams(
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schedule_id="schedule", expected_revision=1, max_steps=True
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)
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with pytest.raises(ValidationError):
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UpdateScheduleParams(
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schedule_id="schedule", expected_revision=1, max_steps=cast(Any, "10")
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)
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def test_schedule_policy_params_reject_unknown_values() -> None:
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with pytest.raises(ValidationError):
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CreateScheduleParams(
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schedule_id="schedule",
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deployment_id="deployment",
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trigger={"kind": "oneshot", "at": "2026-09-08T12:00:00+00:00"},
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overlap=cast(Any, "queue"),
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)
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with pytest.raises(ValidationError):
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UpdateScheduleParams(
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schedule_id="schedule", expected_revision=1, misfire=cast(Any, "replay")
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)
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def test_step_input_params_accept_composite_bindings_but_workflow_output_does_not() -> (
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None
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):
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params = SetStepInputBindingsParams.model_validate(
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{
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"workspace_id": "concat",
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"revision": 1,
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"step_id": "call",
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"bindings": [
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{
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"target": "items",
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"expression": {
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"kind": "array",
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"items": [
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{"kind": "path", "path": "state.value"},
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{"kind": "literal", "value": "!"},
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],
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},
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}
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],
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}
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)
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assert isinstance(params.bindings[0], InputExpressionBinding)
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with pytest.raises(ValidationError):
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SetWorkflowOutputBindingsParams.model_validate(
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{
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"workspace_id": "concat",
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"revision": 1,
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"bindings": [
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{
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"target": "items",
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"expression": {
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"kind": "literal",
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"value": "not-a-workflow-output-binding",
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},
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}
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],
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}
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)
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