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e88e70e 46bb905 e88e70e 9011070 e88e70e d109222 9011070 e88e70e | 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 | """Tests Sprint 88 โ A.I.8 vue HTML : dรฉficit projetรฉ de robustesse.
Couvre :
1. ``build_robustness_projection_html`` :
- vide / None โ ``""``
- rendu complet (rรฉsumรฉ + dรฉtail)
- calcul automatique de ``aggregated`` si non fourni
- tri par dรฉficit dรฉcroissant
- colonne ยซ pire dรฉgradation ยป formatรฉe
- cellules colorรฉes selon l'amplitude du dรฉficit
2. Anti-injection sur nom de moteur + type de dรฉgradation.
3. Bout-en-bout : intรฉgration avec
``project_robustness_on_corpus`` + ``aggregate_projection_per_engine``.
4. Complรฉtude i18n FR/EN.
"""
from __future__ import annotations
import json
from pathlib import Path
from picarones.evaluation.metrics.robustness_projection import (
aggregate_projection_per_engine,
project_robustness_on_corpus,
)
from picarones.reports.html.renderers.robustness_projection import (
build_robustness_projection_html,
)
def _load_labels(lang: str) -> dict:
p = (
Path(__file__).parent.parent.parent
/ "picarones" / "reports" / "i18n" / f"{lang}.json"
)
return json.loads(p.read_text(encoding="utf-8"))
def _curve(engine: str, deg: str) -> dict:
return {
"engine_name": engine,
"degradation_type": deg,
"levels": [0, 5, 10, 20],
"cer_values": [0.05, 0.10, 0.20, 0.50],
"critical_threshold_level": 10,
"cer_threshold": 0.20,
}
# โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
# 1. build_robustness_projection_html
# โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
class TestRender:
def test_none_returns_empty(self) -> None:
assert build_robustness_projection_html(None) == ""
def test_empty_returns_empty(self) -> None:
assert build_robustness_projection_html({}) == ""
def test_renders_summary_and_detail(self) -> None:
projection = {
"tess": {
"noise": {
"n_docs": 50, "n_docs_with_data": 48,
"expected_cer_mean": 0.18, "baseline_cer": 0.05,
"deficit_vs_baseline": 0.13,
"n_docs_above_critical": 12,
"critical_threshold_cer": 0.20,
},
},
}
labels = _load_labels("fr")
html = build_robustness_projection_html(projection, labels=labels)
assert "<table" in html
assert "tess" in html
assert "noise" in html
# Dรฉficit total = 0.13 โ 13.00 pts
assert "+13.00" in html
# Le summary contient le worst type
assert "Pire dรฉgradation" in html
assert "Dรฉtail" in html
def test_auto_computes_aggregate(self) -> None:
# Ne fournit que projection โ aggregated calculรฉ depuis
projection = {
"tess": {
"noise": {
"n_docs": 10, "n_docs_with_data": 10,
"deficit_vs_baseline": 0.05,
"n_docs_above_critical": 0,
},
},
}
html = build_robustness_projection_html(
projection, labels=_load_labels("fr"),
)
# Total = 0.05 = 5.00 points
assert "+5.00" in html
def test_sorted_by_deficit_descending(self) -> None:
projection = {
"low": {
"noise": {
"n_docs": 1, "n_docs_with_data": 1,
"deficit_vs_baseline": 0.01,
"n_docs_above_critical": 0,
},
},
"high": {
"noise": {
"n_docs": 1, "n_docs_with_data": 1,
"deficit_vs_baseline": 0.10,
"n_docs_above_critical": 1,
},
},
}
html = build_robustness_projection_html(
projection, labels=_load_labels("fr"),
)
# ยซ high ยป apparaรฎt avant ยซ low ยป dans le rรฉsumรฉ
assert html.index("high") < html.index("low")
def test_anti_injection_engine(self) -> None:
projection = {
"<script>alert(1)</script>": {
"noise": {
"n_docs": 1, "n_docs_with_data": 1,
"deficit_vs_baseline": 0.05,
"n_docs_above_critical": 0,
},
},
}
html = build_robustness_projection_html(
projection, labels=_load_labels("fr"),
)
assert "<script>alert" not in html
assert "<script>" in html
def test_anti_injection_deg_type(self) -> None:
projection = {
"tess": {
"<img/>": {
"n_docs": 1, "n_docs_with_data": 1,
"deficit_vs_baseline": 0.05,
"n_docs_above_critical": 0,
},
},
}
html = build_robustness_projection_html(
projection, labels=_load_labels("fr"),
)
assert "<img/>" not in html
assert "<img" in html
def test_handles_missing_deficit(self) -> None:
projection = {
"tess": {
"noise": {
"n_docs": 5, "n_docs_with_data": 5,
"deficit_vs_baseline": None,
"n_docs_above_critical": 0,
},
},
}
html = build_robustness_projection_html(
projection, labels=_load_labels("fr"),
)
assert "โ" in html # Cellule dรฉficit vide
def test_renders_in_english(self) -> None:
projection = {
"tess": {
"noise": {
"n_docs": 1, "n_docs_with_data": 1,
"deficit_vs_baseline": 0.05,
"n_docs_above_critical": 0,
},
},
}
html = build_robustness_projection_html(
projection, labels=_load_labels("en"),
)
assert "Projected robustness deficit" in html
# โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
# 2. Bout-en-bout (Sprint 81 + Sprint 88)
# โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
class TestEndToEnd:
def test_full_pipeline_renders(self) -> None:
curves = [_curve("tess", "noise"), _curve("pero", "noise")]
qualities = [
{"noise_level": 7.5}, {"noise_level": 5}, {"noise_level": 15},
]
projection = project_robustness_on_corpus(curves, qualities)
aggregated = aggregate_projection_per_engine(projection)
html = build_robustness_projection_html(
projection, aggregated, _load_labels("fr"),
)
assert "<table" in html
# Les deux moteurs apparaissent
assert "tess" in html
assert "pero" in html
# โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
# 3. Complรฉtude i18n
# โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
_KEYS = {
"robproj_title", "robproj_note", "robproj_summary", "robproj_detail",
"robproj_engine", "robproj_total", "robproj_n_types", "robproj_worst",
"robproj_deg_type", "robproj_n_docs", "robproj_n_with_data",
"robproj_deficit", "robproj_above",
}
class TestI18n:
def test_fr(self) -> None:
d = _load_labels("fr")
assert not _KEYS - d.keys()
def test_en(self) -> None:
d = _load_labels("en")
assert not _KEYS - d.keys()
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