File size: 7,523 Bytes
a63439d | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 | """Unit test suite for pipeline modules."""
from __future__ import annotations
import tempfile
import unittest
from pathlib import Path
import numpy as np
from PIL import Image, PngImagePlugin
from pipeline.config import load_config, load_taxonomy, load_queries, get_paths
from pipeline.manifest import Manifest, normalize_url
from pipeline.queries import build_queries
from pipeline.validator import validate_image
from pipeline.processor import normalize_image
from pipeline.dedup import compute_hashes, find_duplicate_groups
class TestPipeline(unittest.TestCase):
def setUp(self):
self.cfg = load_config()
self.temp_dir_obj = tempfile.TemporaryDirectory()
self.tmp_dir = Path(self.temp_dir_obj.name)
self.paths = get_paths(self.cfg, base=self.tmp_dir)
self.paths.ensure()
self.db_path = self.paths.manifest_db
self.manifest = Manifest(self.db_path)
def tearDown(self):
self.manifest.close()
self.temp_dir_obj.cleanup()
def test_url_normalization(self):
url = "HTTPS://Example.com:443/path/to/img.jpg?utm_source=test&gclid=123&ref=abc#section"
norm = normalize_url(url)
self.assertEqual(norm, "https://example.com/path/to/img.jpg?ref=abc")
def test_manifest_sources_and_hits(self):
url = "https://example.com/test_board.jpg"
is_new = self.manifest.add_hit(url, "bing", "PCB socket", class_hint="cpu_socket")
self.assertTrue(is_new)
pending = self.manifest.pending_sources()
self.assertEqual(len(pending), 1)
self.assertEqual(pending[0]["url_norm"], "https://example.com/test_board.jpg")
self.manifest.mark_source(pending[0]["url_norm"], status="downloaded", image_id="img_001")
pending_after = self.manifest.pending_sources()
self.assertEqual(len(pending_after), 0)
def test_manifest_image_lifecycle(self):
inserted = self.manifest.add_image(
image_id="abc12345",
sha256="1234567890abcdef",
orig_path="originals/abc12345.jpg",
status="downloaded",
)
self.assertTrue(inserted)
img = self.manifest.get_image("abc12345")
self.assertIsNotNone(img)
self.assertEqual(img["status"], "downloaded")
self.manifest.update_image("abc12345", status="validated", width=1000, height=800)
img_updated = self.manifest.get_image("abc12345")
self.assertEqual(img_updated["status"], "validated")
self.assertEqual(img_updated["width"], 1000)
def test_query_builder(self):
qcfg = load_queries(self.cfg)
queries = build_queries(qcfg)
self.assertGreater(len(queries), 0)
classes = {q.class_hint for q in queries}
self.assertIn("cpu_socket", classes)
self.assertIn("ic_chip", classes)
def test_validator(self):
# Valid PCB image with noise so PNG/JPEG size > 5000 bytes
test_img_path = self.tmp_dir / "valid_pcb.png"
arr = np.random.randint(0, 255, (800, 1000, 3), dtype=np.uint8)
img = Image.fromarray(arr)
img.save(test_img_path, format="PNG")
res = validate_image(test_img_path, self.cfg["validate"])
self.assertTrue(res.ok)
self.assertEqual(res.width, 1000)
self.assertEqual(res.height, 800)
# Too small file test (< 5000 bytes)
small_img_path = self.tmp_dir / "small.jpg"
small_img = Image.new("RGB", (100, 100), color=(0, 0, 0))
small_img.save(small_img_path, format="JPEG")
res_small = validate_image(small_img_path, self.cfg["validate"])
self.assertFalse(res_small.ok)
self.assertEqual(res_small.reason, "too_small_file")
# Low resolution test (> 5000 bytes via noise, but < 480px short side)
lowres_path = self.tmp_dir / "low_res.png"
lowres_arr = np.random.randint(0, 255, (300, 300, 3), dtype=np.uint8)
lowres_img = Image.fromarray(lowres_arr)
lowres_img.save(lowres_path, format="PNG")
self.assertGreater(lowres_path.stat().st_size, 5000)
res_lowres = validate_image(lowres_path, self.cfg["validate"])
self.assertFalse(res_lowres.ok)
self.assertEqual(res_lowres.reason, "low_resolution")
def test_ai_metadata_validation(self):
ai_img_path = self.tmp_dir / "ai_gen.png"
arr = np.random.randint(0, 255, (800, 1000, 3), dtype=np.uint8)
img = Image.fromarray(arr)
png_info = PngImagePlugin.PngInfo()
png_info.add_text("Software", "Midjourney v6.0")
img.save(ai_img_path, format="PNG", pnginfo=png_info)
res = validate_image(ai_img_path, self.cfg["validate"])
self.assertFalse(res.ok)
self.assertEqual(res.reason, "ai_generated_metadata")
def test_processor(self):
test_rgba_path = self.tmp_dir / "rgba_pcb.png"
arr = np.random.randint(0, 255, (900, 1200, 4), dtype=np.uint8)
img = Image.fromarray(arr, mode="RGBA")
img.save(test_rgba_path, format="PNG")
dst_path = self.tmp_dir / "normalized_pcb.jpg"
res = normalize_image(test_rgba_path, dst_path, self.cfg["process"])
self.assertTrue(dst_path.exists())
self.assertEqual(res.width, 1200)
with Image.open(dst_path) as norm_img:
self.assertEqual(norm_img.mode, "RGB")
def test_dedup_hashes(self):
img_path = self.tmp_dir / "dedup_test.jpg"
arr = np.random.randint(0, 255, (600, 600, 3), dtype=np.uint8)
img = Image.fromarray(arr)
img.save(img_path, format="JPEG")
hashes = compute_hashes(img_path)
self.assertIn("phash", hashes)
self.assertIn("dhash", hashes)
self.assertIn("phash_flip", hashes)
self.assertIn("dhash_flip", hashes)
def test_cli_all_subcommand_parser(self):
import subprocess
res = subprocess.run(
[".venv/bin/python3", "scraper.py", "all", "--help"],
capture_output=True,
text=True,
cwd=str(Path(__file__).resolve().parent.parent)
)
self.assertEqual(res.returncode, 0)
self.assertIn("--max-num", res.stdout)
def test_splitter(self):
from pipeline.splitter import run as run_splitter
self.manifest.add_image(image_id="img1", sha256="sha1", status="deduped", cluster_id="c1", orig_path="orig1.jpg")
self.manifest.add_image(image_id="img2", sha256="sha2", status="deduped", cluster_id="c1", orig_path="orig2.jpg")
self.manifest.add_image(image_id="img3", sha256="sha3", status="deduped", cluster_id="c2", orig_path="orig3.jpg")
splits_dir = self.tmp_dir / "splits"
stats = run_splitter(self.manifest, self.cfg, self.tmp_dir, splits_dir, copy_files=False)
self.assertEqual(stats["total_split"], 3)
# Check cluster_id integrity: img1 and img2 must be in the same split
img1 = self.manifest.get_image("img1")
img2 = self.manifest.get_image("img2")
self.assertEqual(img1["split"], img2["split"])
def test_cli_split_subcommand_parser(self):
import subprocess
res = subprocess.run(
[".venv/bin/python3", "scraper.py", "split", "--help"],
capture_output=True,
text=True,
cwd=str(Path(__file__).resolve().parent.parent)
)
self.assertEqual(res.returncode, 0)
self.assertIn("--train-ratio", res.stdout)
if __name__ == "__main__":
unittest.main()
|