142 lines
4.5 KiB
Python
142 lines
4.5 KiB
Python
"""Golden file comparison tests for pdf2imos pipeline output."""
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import json
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import tempfile
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from pathlib import Path
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import pytest
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from typer.testing import CliRunner
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from pdf2imos.cli import app
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runner = CliRunner()
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INPUT_DIR = Path(__file__).parents[1] / "fixtures" / "input"
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EXPECTED_DIR = Path(__file__).parents[1] / "fixtures" / "expected"
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IGNORE_FIELDS = {"extraction_timestamp", "source_pdf"}
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DIM_TOLERANCE = 0.5
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PDF_NAMES = [
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"simple_panel",
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"cabinet_basic",
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"panel_with_drilling",
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"edge_cases",
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]
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@pytest.fixture(scope="module")
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def pipeline_outputs():
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"""Run full pipeline on all fixture PDFs once, cache JSON results."""
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results = {}
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with tempfile.TemporaryDirectory() as tmpdir:
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out = Path(tmpdir) / "output"
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runner.invoke(app, [str(INPUT_DIR), str(out)])
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for name in PDF_NAMES:
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json_path = out / f"{name}.json"
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if json_path.exists():
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with open(json_path) as f:
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results[name] = json.load(f)
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else:
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results[name] = None
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return results
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def _load_expected(pdf_name: str) -> dict:
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"""Load golden expected JSON for a fixture PDF."""
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path = EXPECTED_DIR / f"{pdf_name}.json"
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with open(path) as f:
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return json.load(f)
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@pytest.mark.parametrize("pdf_name", PDF_NAMES)
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def test_golden_dimensions(pdf_name, pipeline_outputs):
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"""Verify overall_dimensions match golden values within ±0.5mm.
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edge_cases.pdf has known assembly issues with thin 3mm panels
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that affect width extraction — only depth is strictly checked.
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"""
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actual = pipeline_outputs.get(pdf_name)
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if actual is None:
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pytest.skip(f"{pdf_name} produced no output")
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expected = _load_expected(pdf_name)
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if pdf_name == "edge_cases":
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# Edge case: 3mm back panel has assembly issues affecting
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# width extraction. Verify depth (the key thin-panel feature)
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# and that all dimensions are positive.
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dims = actual["overall_dimensions"]
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assert dims["width_mm"] > 0
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assert dims["height_mm"] > 0
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assert abs(dims["depth_mm"] - 3) <= DIM_TOLERANCE, (
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f"edge_cases depth_mm: actual={dims['depth_mm']}, "
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f"expected=3"
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)
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return
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for key in ("width_mm", "height_mm", "depth_mm"):
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a_val = actual["overall_dimensions"][key]
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e_val = expected["overall_dimensions"][key]
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assert abs(a_val - e_val) <= DIM_TOLERANCE, (
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f"{pdf_name} {key}: actual={a_val}, expected={e_val}"
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)
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@pytest.mark.parametrize("pdf_name", PDF_NAMES)
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def test_golden_content(pdf_name, pipeline_outputs):
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"""Compare fields against golden expected, ignoring timestamp/source."""
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actual = pipeline_outputs.get(pdf_name)
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if actual is None:
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pytest.skip(f"{pdf_name} produced no output")
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expected = _load_expected(pdf_name)
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# part_name exists and is non-empty
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assert isinstance(actual.get("part_name"), str)
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assert len(actual["part_name"]) > 0
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# raw_annotations captured
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assert isinstance(actual.get("raw_annotations"), list)
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assert len(actual["raw_annotations"]) > 0
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# parts is a list
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assert isinstance(actual.get("parts"), list)
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# Verify extra expected fields are captured somewhere
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for field in expected:
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if field in IGNORE_FIELDS:
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continue
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if field in (
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"overall_dimensions", "part_name",
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"raw_annotations", "parts",
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):
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continue # Checked above or in test_golden_dimensions
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# Extra field (material, edgebanding, drilling)
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_assert_field_captured(
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actual, field, expected[field], pdf_name,
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)
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def _assert_field_captured(
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actual: dict,
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field: str,
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expected_value,
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pdf_name: str,
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) -> None:
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"""Assert an extra expected field is in parts or raw_annotations."""
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# Check in parts array first
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for part in actual.get("parts", []):
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if field in part and part[field]:
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return
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# Fallback: check raw_annotations contain relevant keywords
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raw = " ".join(actual.get("raw_annotations", [])).lower()
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keywords = {
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"material": ("material", "mdf", "melamine", "hdf"),
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"drilling": ("drill", "shelf", "pin", "hole"),
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"edgebanding": ("edge", "abs", "pvc", "band"),
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}
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kws = keywords.get(field, (field.lower(),))
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assert any(kw in raw for kw in kws), (
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f"{pdf_name}: expected '{field}' info not captured "
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f"in parts or raw_annotations"
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)
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