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| """Unit tests for workflow.py — pure functions over JSON dicts.""" | |
| import pytest | |
| import workflow | |
| def test_load_template_returns_dict_for_valid_mode(): | |
| wf = workflow.load_template("t2v") | |
| assert isinstance(wf, dict) | |
| assert "nodes" in wf | |
| assert len(wf["nodes"]) > 0 | |
| def test_load_template_raises_for_unknown_mode(): | |
| with pytest.raises(ValueError, match="unknown mode"): | |
| workflow.load_template("nonexistent") | |
| def test_load_template_returns_independent_copy(): | |
| """Mutations to one returned dict must not affect later loads.""" | |
| a = workflow.load_template("t2v") | |
| a["nodes"].append({"id": -999}) | |
| b = workflow.load_template("t2v") | |
| assert {-999} & {n.get("id") for n in b["nodes"]} == set() | |
| def test_set_input_patches_widgets_values_in_place(): | |
| wf = workflow.load_template("t2v") | |
| target_node = next(n for n in wf["nodes"] if n["type"] == "CLIPTextEncode") | |
| workflow.set_input(wf, target_node["id"], 0, "new prompt text") | |
| refetched = next(n for n in wf["nodes"] if n["id"] == target_node["id"]) | |
| assert refetched["widgets_values"][0] == "new prompt text" | |
| def test_set_input_raises_for_unknown_node(): | |
| wf = workflow.load_template("t2v") | |
| with pytest.raises(KeyError, match="node id"): | |
| workflow.set_input(wf, 999_999_999, 0, "x") | |
| def test_validate_accepts_canonical_template(): | |
| wf = workflow.load_template("t2v") | |
| workflow.validate(wf) # must not raise | |
| def test_validate_rejects_workflow_with_no_nodes(): | |
| wf = {"nodes": [], "links": []} | |
| with pytest.raises(ValueError, match="no nodes"): | |
| workflow.validate(wf) | |
| def test_validate_rejects_orphan_link(): | |
| wf = workflow.load_template("t2v") | |
| wf["links"].append([99999, 1, 0, 999_999_999, 0, "INT"]) # destination doesn't exist | |
| with pytest.raises(ValueError, match="orphan link"): | |
| workflow.validate(wf) | |