194 lines
7.8 KiB
Python
194 lines
7.8 KiB
Python
from __future__ import annotations
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import importlib.util
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import json
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import tempfile
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import unittest
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from pathlib import Path
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WORKER_PATH = (
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Path(__file__).resolve().parents[1] / "windows-node" / "origin-worker" / "worker.py"
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)
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SPEC = importlib.util.spec_from_file_location("zcbot_origin_worker", WORKER_PATH)
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assert SPEC and SPEC.loader
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worker = importlib.util.module_from_spec(SPEC)
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SPEC.loader.exec_module(worker)
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class OriginWorkerUnitTests(unittest.TestCase):
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def test_csv_and_json_inputs_are_read_without_origin(self) -> None:
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with tempfile.TemporaryDirectory() as directory:
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root = Path(directory)
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csv_path = root / "input.csv"
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csv_path.write_text("x,y\n1,2\n3,4\n", encoding="utf-8")
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self.assertEqual(worker._read_rows(csv_path, None), (["x", "y"], [["1", "2"], ["3", "4"]]))
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json_path = root / "input.json"
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json_path.write_text(json.dumps([{"x": 1, "y": 2}, {"x": 3, "y": 4}]), encoding="utf-8")
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self.assertEqual(worker._read_rows(json_path, None), (["x", "y"], [[1, 2], [3, 4]]))
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def test_manifest_uses_stable_id_and_streaming_digest(self) -> None:
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with tempfile.TemporaryDirectory() as directory:
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path = Path(directory) / "plot-spec.json"
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path.write_text("{}", encoding="utf-8")
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manifest = worker._manifest(path, "application/json")
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self.assertEqual(manifest["artifact_id"], "plot_spec")
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self.assertEqual(manifest["sha256"], worker._file_sha256(path))
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self.assertEqual(manifest["size_bytes"], 2)
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def test_axis_title_includes_units(self) -> None:
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self.assertEqual(worker._axis_title({"title": "Stress", "unit": "MPa"}, "Y"), "Stress (MPa)")
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self.assertEqual(worker._axis_title(None, "Time"), "Time")
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def test_layout_helpers_apply_validated_values(self) -> None:
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class FakeAxis:
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title = ""
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scale = "linear"
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limits = None
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def set_limits(self, begin, end, step):
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self.limits = (begin, end, step)
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class FakeLayer:
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def __init__(self):
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self.axes = {name: FakeAxis() for name in ("x", "y", "z")}
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self.values = {}
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self.labels = {}
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def axis(self, name):
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return self.axes[name]
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def set_float(self, name, value):
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self.values[name] = value
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def set_int(self, name, value):
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self.values[name] = value
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def label(self, name):
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class FakeLabel:
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def set_int(_, prop, value):
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self.labels[(name, prop)] = value
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return FakeLabel()
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layer = FakeLayer()
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worker._apply_axis(layer, "x", {
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"title": "Time", "unit": "d", "scale": "log10",
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"minimum": 1, "maximum": 100, "major_step": 1,
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"tick_label_angle": 45, "tick_label_font_size": 10,
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"title_font_size": 12, "grid": "major_minor",
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}, "X")
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self.assertEqual(layer.axes["x"].title, "Time (d)")
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self.assertEqual(layer.axes["x"].scale, "log10")
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self.assertEqual(layer.axes["x"].limits, (1, 100, 1))
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self.assertEqual(layer.values, {
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"x.label.rotate": 45, "x.label.pt": 10, "x.grid.show": 3,
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})
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self.assertEqual(layer.labels, {("xb", "fsize"): 12})
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def test_series_style_maps_to_origin_properties(self) -> None:
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class FakePlot:
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def __init__(self):
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self.values = {}
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self.color = None
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self.symbol_kind = None
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self.symbol_size = None
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self.transparency = None
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def set_float(self, name, value):
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self.values[name] = value
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def set_int(self, name, value):
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self.values[name] = value
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plot = FakePlot()
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worker._apply_series_style(plot, {
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"color": "#3366CC", "line_width": 1.5, "line_style": "dash_dot",
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"symbol": "diamond", "symbol_size": 8, "transparency": 20,
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})
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self.assertEqual(plot.color, (51, 102, 204))
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self.assertEqual(plot.values, {"line.width": 1.5, "line.type": 4})
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self.assertEqual(plot.symbol_kind, 3)
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self.assertEqual(plot.symbol_size, 8)
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self.assertEqual(plot.transparency, 20)
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def test_keyed_input_directory_requires_exactly_one_file(self) -> None:
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with tempfile.TemporaryDirectory() as directory:
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root = Path(directory)
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keyed = root / "input" / "sample"
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keyed.mkdir(parents=True)
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path = keyed / "data.csv"
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path.write_text("x,y\n1,2\n", encoding="utf-8")
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self.assertEqual(worker._input_file(root, "sample"), path)
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(keyed / "extra.csv").write_text("x,y\n3,4\n", encoding="utf-8")
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with self.assertRaisesRegex(ValueError, "INPUT_FILE_COUNT_INVALID:sample"):
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worker._input_file(root, "sample")
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def test_series_are_resolved_against_each_input(self) -> None:
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input_data = {
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"first": (["time", "strength"], [[1, 10]]),
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"second": (["temperature", "value"], [[20, 30]]),
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}
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series = [
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{"input": "first", "x": "time", "y": "strength", "label": "7 d"},
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{"input": "second", "x": "temperature", "y": "value", "label": "28 d"},
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]
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resolved, labels = worker._resolve_series(input_data, series)
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self.assertEqual(resolved, [
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{"input": "first", "label": "7 d", "x": 0, "y": 1},
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{"input": "second", "label": "28 d", "x": 0, "y": 1},
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])
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self.assertEqual(labels, {("first", 1): "7 d", ("second", 1): "28 d"})
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def test_shared_y_column_rejects_conflicting_labels(self) -> None:
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input_data = {"sample": (["x1", "x2", "y"], [[1, 2, 3]])}
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with self.assertRaisesRegex(ValueError, "SERIES_LABEL_CONFLICT"):
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worker._resolve_series(input_data, [
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{"input": "sample", "x": "x1", "y": "y", "label": "First"},
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{"input": "sample", "x": "x2", "y": "y", "label": "Second"},
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])
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def test_series_support_xyz_and_y_error_roles(self) -> None:
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resolved, labels = worker._resolve_series(
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{"sample": (["x", "y", "z", "sd"], [[0, 1, 2, 0.1]])},
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[{
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"input": "sample", "x": "x", "y": "y", "z": "z",
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"y_error": "sd", "label": "测量值",
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}],
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)
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self.assertEqual(resolved, [{
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"input": "sample", "label": "测量值", "x": 0, "y": 1,
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"z": 2, "y_error": 3,
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}])
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self.assertEqual(labels, {("sample", 1): "测量值"})
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def test_heatmap_matrix_accepts_complete_unordered_grid(self) -> None:
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matrix, xy_map = worker._heatmap_matrix(
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[[1, 20, 4], [0, 10, 1], [1, 10, 2], [0, 20, 3]],
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{"x": 0, "y": 1, "z": 2},
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)
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self.assertEqual(matrix, [[1.0, 2.0], [3.0, 4.0]])
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self.assertEqual(xy_map, (0.0, 1.0, 10.0, 20.0))
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def test_heatmap_matrix_rejects_invalid_grid(self) -> None:
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with self.assertRaisesRegex(ValueError, "HEATMAP_GRID_INCOMPLETE"):
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worker._heatmap_matrix(
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[[0, 10, 1], [1, 10, 2], [0, 20, 3]],
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{"x": 0, "y": 1, "z": 2},
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)
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with self.assertRaisesRegex(ValueError, "HEATMAP_COORDINATES_DUPLICATED"):
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worker._heatmap_matrix(
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[[0, 10, 1], [0, 10, 2]], {"x": 0, "y": 1, "z": 2}
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)
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with self.assertRaisesRegex(ValueError, "HEATMAP_GRID_NOT_REGULAR"):
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worker._heatmap_matrix(
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[
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[0, 10, 1], [1, 10, 2], [3, 10, 3],
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[0, 20, 4], [1, 20, 5], [3, 20, 6],
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],
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{"x": 0, "y": 1, "z": 2},
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)
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if __name__ == "__main__":
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unittest.main()
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