feat: pdf2cad
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tests/integration/__init__.py
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tests/integration/__init__.py
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141
tests/integration/test_golden.py
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tests/integration/test_golden.py
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"""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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216
tests/integration/test_pipeline.py
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tests/integration/test_pipeline.py
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"""End-to-end pipeline integration tests for pdf2imos."""
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import json
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import shutil
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import tempfile
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from pathlib import Path
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import ezdxf
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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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from pdf2imos.schema.validator import validate_metadata
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runner = CliRunner()
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INPUT_DIR = Path(__file__).parents[1] / "fixtures" / "input"
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def _run_single_pdf(pdf_name: str, tmpdir: Path):
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"""Copy one PDF to a temp input dir and run the CLI on it.
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Returns (exit_code, output_dir, CliRunner result).
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"""
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input_dir = tmpdir / "input"
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output_dir = tmpdir / "output"
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input_dir.mkdir(parents=True, exist_ok=True)
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shutil.copy2(INPUT_DIR / pdf_name, input_dir)
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result = runner.invoke(app, [str(input_dir), str(output_dir)])
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return result.exit_code, output_dir, result
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class TestSimplePanelE2E:
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"""simple_panel.pdf → DXF + JSON, audit, schema, 600×720×18mm."""
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def test_simple_panel_e2e(self):
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with tempfile.TemporaryDirectory() as tmpdir:
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code, out, res = _run_single_pdf(
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"simple_panel.pdf", Path(tmpdir),
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)
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assert code == 0, res.output
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dxf_path = out / "simple_panel.dxf"
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json_path = out / "simple_panel.json"
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assert dxf_path.exists()
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assert json_path.exists()
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# DXF audit clean
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doc = ezdxf.readfile(str(dxf_path))
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auditor = doc.audit()
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assert len(auditor.errors) == 0
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# JSON schema valid
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with open(json_path) as f:
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data = json.load(f)
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validate_metadata(data)
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# Dimensions 600×720×18mm ±0.5mm
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dims = data["overall_dimensions"]
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assert abs(dims["width_mm"] - 600) <= 0.5
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assert abs(dims["height_mm"] - 720) <= 0.5
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assert abs(dims["depth_mm"] - 18) <= 0.5
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class TestCabinetBasicE2E:
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"""cabinet_basic.pdf → DXF + JSON, material annotation present."""
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def test_cabinet_basic_e2e(self):
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with tempfile.TemporaryDirectory() as tmpdir:
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code, out, res = _run_single_pdf(
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"cabinet_basic.pdf", Path(tmpdir),
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)
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assert code == 0, res.output
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dxf_path = out / "cabinet_basic.dxf"
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json_path = out / "cabinet_basic.json"
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assert dxf_path.exists()
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assert json_path.exists()
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# DXF audit clean
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doc = ezdxf.readfile(str(dxf_path))
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auditor = doc.audit()
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assert len(auditor.errors) == 0
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# JSON schema valid
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with open(json_path) as f:
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data = json.load(f)
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validate_metadata(data)
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# Material annotation in parts or raw_annotations
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has_material = any(
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p.get("material") for p in data.get("parts", [])
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)
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if not has_material:
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raw = " ".join(
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data.get("raw_annotations", []),
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).lower()
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has_material = any(
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kw in raw
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for kw in ("material", "melamine", "mdf")
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)
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assert has_material, (
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"No material annotation found in output"
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)
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class TestPanelWithDrillingE2E:
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"""panel_with_drilling.pdf → JSON has drilling data."""
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def test_panel_with_drilling_e2e(self):
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with tempfile.TemporaryDirectory() as tmpdir:
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code, out, res = _run_single_pdf(
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"panel_with_drilling.pdf", Path(tmpdir),
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)
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assert code == 0, res.output
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dxf_path = out / "panel_with_drilling.dxf"
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json_path = out / "panel_with_drilling.json"
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assert dxf_path.exists()
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assert json_path.exists()
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# DXF audit clean
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doc = ezdxf.readfile(str(dxf_path))
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auditor = doc.audit()
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assert len(auditor.errors) == 0
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# JSON schema valid
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with open(json_path) as f:
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data = json.load(f)
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validate_metadata(data)
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# Drilling data in parts or raw_annotations
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has_drilling = any(
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p.get("drilling") for p in data.get("parts", [])
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)
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if not has_drilling:
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raw = " ".join(
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data.get("raw_annotations", []),
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).lower()
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has_drilling = any(
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kw in raw
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for kw in ("drill", "shelf", "pin", "hole")
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)
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assert has_drilling, (
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"No drilling data found in output"
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)
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class TestEdgeCasesE2E:
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"""edge_cases.pdf → completes without crash."""
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def test_edge_cases_e2e(self):
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with tempfile.TemporaryDirectory() as tmpdir:
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code, out, res = _run_single_pdf(
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"edge_cases.pdf", Path(tmpdir),
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)
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# Single PDF: 0=success, 2=assembly failure (graceful)
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assert code in (0, 2), (
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f"Unexpected exit code {code}: {res.output}"
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)
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if code == 0:
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dxf = out / "edge_cases.dxf"
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jsn = out / "edge_cases.json"
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assert dxf.exists()
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assert jsn.exists()
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# DXF audit clean
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doc = ezdxf.readfile(str(dxf))
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auditor = doc.audit()
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assert len(auditor.errors) == 0
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# JSON schema valid
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with open(jsn) as f:
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data = json.load(f)
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validate_metadata(data)
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class TestStageFlag:
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"""--stage flag produces intermediate JSON at each stage."""
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@pytest.mark.parametrize("stage", [
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"extract", "classify", "dimensions",
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])
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def test_stage_produces_json(self, stage):
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with tempfile.TemporaryDirectory() as tmpdir:
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tmpdir = Path(tmpdir)
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input_dir = tmpdir / "input"
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output_dir = tmpdir / "output"
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input_dir.mkdir()
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shutil.copy2(
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INPUT_DIR / "simple_panel.pdf", input_dir,
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)
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result = runner.invoke(
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app,
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[
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str(input_dir),
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str(output_dir),
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f"--stage={stage}",
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],
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)
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assert result.exit_code == 0, result.output
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# Intermediate JSON produced
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intermediates = list(
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output_dir.glob(f"*_{stage}.json"),
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)
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assert len(intermediates) == 1
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# Verify content structure
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with open(intermediates[0]) as f:
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data = json.load(f)
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assert data["stage"] == stage
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assert "data" in data
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# No DXF output in stage mode
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assert len(list(output_dir.glob("*.dxf"))) == 0
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