Spaces:
Sleeping
Sleeping
File size: 9,825 Bytes
d62349b 6362212 d62349b 644be36 d62349b 644be36 d62349b df4f47c d62349b df4f47c d62349b 644be36 d62349b | 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 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 | """Tests pour picarones.report (generator + fixtures)."""
import json
import pytest
from picarones.fixtures import generate_sample_benchmark
from picarones.report.generator import ReportGenerator, _build_report_data, _cer_color
# ---------------------------------------------------------------------------
# Fixtures Python (données de test)
# ---------------------------------------------------------------------------
@pytest.fixture
def sample_benchmark():
return generate_sample_benchmark(n_docs=3, seed=0, include_images=True)
@pytest.fixture
def sample_generator(sample_benchmark):
return ReportGenerator(sample_benchmark)
# ---------------------------------------------------------------------------
# Tests generate_sample_benchmark
# ---------------------------------------------------------------------------
class TestGenerateSampleBenchmark:
def test_returns_benchmark_result(self, sample_benchmark):
from picarones.core.results import BenchmarkResult
assert isinstance(sample_benchmark, BenchmarkResult)
def test_correct_engine_count(self, sample_benchmark):
# 3 moteurs OCR + 1 pipeline tesseract → gpt-4o + 1 VLM zero-shot (Sprint 10)
assert len(sample_benchmark.engine_reports) == 5
def test_correct_doc_count(self, sample_benchmark):
assert sample_benchmark.document_count == 3
for report in sample_benchmark.engine_reports:
assert len(report.document_results) == 3
def test_engine_names(self, sample_benchmark):
names = {r.engine_name for r in sample_benchmark.engine_reports}
assert "tesseract" in names
assert "pero_ocr" in names
def test_images_in_metadata(self, sample_benchmark):
images = sample_benchmark.metadata.get("_images_b64", {})
assert len(images) == 3
for v in images.values():
assert v.startswith("data:image/png;base64,")
def test_reproducible_with_seed(self):
bm1 = generate_sample_benchmark(n_docs=3, seed=42)
bm2 = generate_sample_benchmark(n_docs=3, seed=42)
# Même CER pour le même seed
cer1 = bm1.engine_reports[0].document_results[0].metrics.cer
cer2 = bm2.engine_reports[0].document_results[0].metrics.cer
assert cer1 == pytest.approx(cer2)
def test_without_images(self):
bm = generate_sample_benchmark(n_docs=2, include_images=False)
assert bm.metadata.get("_images_b64", {}) == {}
def test_metrics_computed(self, sample_benchmark):
for report in sample_benchmark.engine_reports:
for dr in report.document_results:
assert dr.metrics.cer >= 0.0
assert dr.metrics.wer >= 0.0
def test_aggregated_metrics(self, sample_benchmark):
for report in sample_benchmark.engine_reports:
assert "cer" in report.aggregated_metrics
assert "mean" in report.aggregated_metrics["cer"]
# ---------------------------------------------------------------------------
# Tests _build_report_data
# ---------------------------------------------------------------------------
class TestBuildReportData:
def test_structure(self, sample_benchmark):
data = _build_report_data(sample_benchmark, {})
assert "meta" in data
assert "ranking" in data
assert "engines" in data
assert "documents" in data
def test_engines_count(self, sample_benchmark):
data = _build_report_data(sample_benchmark, {})
# 3 moteurs OCR + 1 pipeline tesseract → gpt-4o + 1 VLM zero-shot (Sprint 10)
assert len(data["engines"]) == 5
def test_engine_fields(self, sample_benchmark):
data = _build_report_data(sample_benchmark, {})
for e in data["engines"]:
for field in ["name", "version", "cer", "wer", "mer", "wil", "cer_values"]:
assert field in e
def test_documents_count(self, sample_benchmark):
data = _build_report_data(sample_benchmark, {})
assert len(data["documents"]) == 3
def test_document_fields(self, sample_benchmark):
data = _build_report_data(sample_benchmark, {})
for doc in data["documents"]:
for field in ["doc_id", "image_path", "ground_truth", "mean_cer",
"best_engine", "engine_results"]:
assert field in doc
def test_diff_computed(self, sample_benchmark):
data = _build_report_data(sample_benchmark, {})
for doc in data["documents"]:
for er in doc["engine_results"]:
assert "diff" in er
assert isinstance(er["diff"], list)
def test_images_attached(self, sample_benchmark):
images = sample_benchmark.metadata.get("_images_b64", {})
data = _build_report_data(sample_benchmark, images)
# Au moins un document doit avoir une image b64
has_image = any(doc["image_b64"] for doc in data["documents"])
assert has_image
def test_cer_values_list(self, sample_benchmark):
data = _build_report_data(sample_benchmark, {})
for engine in data["engines"]:
assert len(engine["cer_values"]) == 3
assert all(isinstance(v, float) for v in engine["cer_values"])
# ---------------------------------------------------------------------------
# Tests ReportGenerator.generate
# ---------------------------------------------------------------------------
class TestReportGenerator:
def test_generates_file(self, sample_generator, tmp_path):
out = tmp_path / "rapport.html"
path = sample_generator.generate(out)
assert path.exists()
assert path.suffix == ".html"
def test_file_not_empty(self, sample_generator, tmp_path):
out = tmp_path / "rapport.html"
sample_generator.generate(out)
content = out.read_text(encoding="utf-8")
assert len(content) > 5000 # fichier substantiel
def test_html_structure(self, sample_generator, tmp_path):
out = tmp_path / "rapport.html"
sample_generator.generate(out)
html = out.read_text(encoding="utf-8")
assert "<!DOCTYPE html>" in html
assert "<html" in html
assert "</html>" in html
def test_contains_chart_js(self, sample_generator, tmp_path):
out = tmp_path / "rapport.html"
sample_generator.generate(out)
html = out.read_text(encoding="utf-8")
assert "chart.js" in html.lower() or "Chart.js" in html
def test_contains_chartjs(self, sample_generator, tmp_path):
out = tmp_path / "rapport.html"
sample_generator.generate(out)
html = out.read_text(encoding="utf-8")
# Chart.js est désormais embarqué inline (plus de CDN)
assert "Chart.js" in html or "new Chart(" in html
def test_data_embedded(self, sample_generator, tmp_path):
out = tmp_path / "rapport.html"
sample_generator.generate(out)
html = out.read_text(encoding="utf-8")
assert "const DATA" in html
def test_engine_names_in_html(self, sample_generator, tmp_path):
out = tmp_path / "rapport.html"
sample_generator.generate(out)
html = out.read_text(encoding="utf-8")
assert "tesseract" in html
assert "pero_ocr" in html
def test_corpus_name_in_html(self, sample_generator, tmp_path):
out = tmp_path / "rapport.html"
sample_generator.generate(out)
html = out.read_text(encoding="utf-8")
assert "chroniques" in html.lower()
def test_creates_parent_dirs(self, sample_generator, tmp_path):
out = tmp_path / "deep" / "nested" / "rapport.html"
sample_generator.generate(out)
assert out.exists()
def test_returns_absolute_path(self, sample_generator, tmp_path):
out = tmp_path / "rapport.html"
result = sample_generator.generate(out)
assert result.is_absolute()
def test_json_roundtrip(self, sample_benchmark, tmp_path):
"""Vérifie que le rapport peut être généré depuis un JSON sauvegardé."""
json_path = tmp_path / "results.json"
sample_benchmark.to_json(json_path)
gen = ReportGenerator.from_json(json_path)
html_path = tmp_path / "rapport.html"
gen.generate(html_path)
assert html_path.exists()
html = html_path.read_text(encoding="utf-8")
assert "const DATA" in html
def test_embedded_json_valid(self, sample_generator, tmp_path):
"""Extrait et parse le JSON embarqué dans le HTML pour vérifier sa validité."""
out = tmp_path / "rapport.html"
sample_generator.generate(out)
html = out.read_text(encoding="utf-8")
# Extraire le JSON entre "const DATA = " et le ";" de fin de ligne
import re
match = re.search(r"const DATA = (\{.*?\});", html, re.DOTALL)
assert match, "Bloc const DATA non trouvé dans le HTML"
data = json.loads(match.group(1))
assert "engines" in data
assert "documents" in data
assert len(data["engines"]) == 5 # 3 OCR + 1 pipeline LLM + 1 VLM zero-shot (Sprint 10)
# ---------------------------------------------------------------------------
# Tests helpers de couleur
# ---------------------------------------------------------------------------
class TestCerColor:
def test_green_below_5pct(self):
assert _cer_color(0.04) == "#16a34a"
def test_yellow_5_to_15pct(self):
assert _cer_color(0.10) == "#ca8a04"
def test_orange_15_to_30pct(self):
assert _cer_color(0.20) == "#ea580c"
def test_red_above_30pct(self):
assert _cer_color(0.50) == "#dc2626"
def test_boundary_exactly_5pct(self):
# 0.05 est dans la zone jaune (>= 0.05)
assert _cer_color(0.05) == "#ca8a04"
|