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8c1b9fe | 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 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287 288 289 290 291 292 293 294 295 296 297 298 299 300 301 302 303 304 305 306 307 308 309 310 311 312 313 314 315 316 317 318 319 320 321 322 323 324 325 326 327 328 329 330 331 332 333 334 335 336 337 338 339 340 341 342 343 344 345 346 347 348 349 350 351 352 353 354 355 356 357 358 359 360 361 362 363 364 365 366 367 368 369 370 371 372 373 374 375 376 377 378 379 380 381 382 383 384 385 386 387 388 | """Tests for visual grounding infrastructure: resolver, ingest metadata, endpoints."""
from __future__ import annotations
import pytest
from fastapi.testclient import TestClient
@pytest.fixture
def client():
from auralynq.serving.app import create_app
return TestClient(create_app())
# ---------------------------------------------------------------------------
# Grounding resolver unit tests
# ---------------------------------------------------------------------------
def test_resolver_returns_empty_for_no_citations():
from auralynq.grounding.resolver import GroundingResolver
resolver = GroundingResolver()
results = resolver.resolve(answer_id="test", answer="Hello", citations=[])
assert results == []
def test_resolver_page_level_grounding():
"""Citation with page number but no bbox → page-level grounding."""
from auralynq.grounding.resolver import GroundingResolver
resolver = GroundingResolver()
citations = [
{
"marker": 1,
"chunk_id": "chunk_001",
"doc_id": "doc_001",
"source": "test.pdf",
"page": 3,
"score": 0.8,
"visual_grounding": {
"grounding_version": 1,
"page": 3,
"has_bbox": False,
"bbox": None,
"normalized_bbox": None,
},
}
]
results = resolver.resolve("test_id", "Some answer [1].", citations)
assert len(results) == 1
r = results[0]
assert r.page == 3
assert r.doc_id == "doc_001"
assert r.visual_grounding_available is True
assert r.grounding_stage == "page"
assert len(r.highlights) == 1
ev = r.highlights[0]
assert ev.support_type == "page"
assert ev.normalized_bbox is None
assert ev.reindex_required is False
def test_resolver_span_level_grounding():
"""Citation with bbox → span-level grounding."""
from auralynq.grounding.resolver import GroundingResolver
resolver = GroundingResolver()
citations = [
{
"marker": 1,
"chunk_id": "chunk_002",
"doc_id": "doc_002",
"source": "paper.pdf",
"page": 1,
"score": 0.9,
"visual_grounding": {
"grounding_version": 1,
"page": 1,
"has_bbox": True,
"bbox": [72.0, 100.0, 400.0, 120.0],
"normalized_bbox": [0.1, 0.13, 0.55, 0.16],
"block_type": "paragraph",
},
}
]
results = resolver.resolve("span_test", "Answer with span [1].", citations)
assert len(results) == 1
r = results[0]
assert r.grounding_stage == "span"
ev = r.highlights[0]
assert ev.support_type == "span"
assert ev.normalized_bbox == [0.1, 0.13, 0.55, 0.16]
assert ev.bbox == [72.0, 100.0, 400.0, 120.0]
def test_resolver_reindex_required_for_old_doc():
"""Citation with grounding_version=0 → reindex_required=True."""
from auralynq.grounding.resolver import GroundingResolver
resolver = GroundingResolver()
citations = [
{
"marker": 1,
"chunk_id": "old_chunk",
"doc_id": "old_doc",
"source": "legacy.pdf",
"page": None,
"score": 0.5,
"visual_grounding": {
"grounding_version": 0,
"page": None,
"has_bbox": False,
},
}
]
results = resolver.resolve("old_test", "Answer.", citations)
assert len(results) == 1
ev = results[0].highlights[0]
assert ev.reindex_required is True
assert ev.support_type == "unavailable"
def test_resolver_to_api_response():
"""to_api_response produces correct structure."""
from auralynq.grounding.resolver import GroundingResolver
resolver = GroundingResolver()
citations = [
{
"marker": 1,
"chunk_id": "c1",
"doc_id": "d1",
"source": "doc.pdf",
"page": 2,
"score": 0.7,
"visual_grounding": {
"grounding_version": 1,
"page": 2,
"has_bbox": True,
"bbox": [0, 0, 100, 20],
"normalized_bbox": [0.0, 0.0, 0.14, 0.025],
},
}
]
results = resolver.resolve("api_test", "The answer is X [1].", citations)
api_resp = resolver.to_api_response(results)
assert "highlights" in api_resp
assert "claim_grounding" in api_resp
assert "warnings" in api_resp
assert isinstance(api_resp["visual_grounding_available"], bool)
assert api_resp["visual_grounding_available"] is True
assert api_resp["grounding_stage"] == "span"
assert len(api_resp["highlights"]) == 1
h = api_resp["highlights"][0]
assert h["page_image_url"] == "/api/documents/d1/pages/2/image"
def test_resolver_page_image_url_format():
from auralynq.grounding.resolver import GroundingResolver
resolver = GroundingResolver()
citations = [
{
"marker": 2,
"chunk_id": "c2",
"doc_id": "abc123",
"source": "file.pdf",
"page": 5,
"score": 0.6,
"visual_grounding": {"grounding_version": 1, "page": 5, "has_bbox": False},
}
]
results = resolver.resolve("url_test", "Answer.", citations)
assert results[0].page_image_url == "/api/documents/abc123/pages/5/image"
def test_resolver_claim_grounding_unsupported_without_citations():
from auralynq.grounding.resolver import GroundingResolver
resolver = GroundingResolver()
# Long answer sentences with no citations matching
citations = [
{
"marker": 1,
"chunk_id": "c3",
"doc_id": "d3",
"source": "x.pdf",
"page": 1,
"score": 0.5,
"visual_grounding": {"grounding_version": 1, "page": 1, "has_bbox": False},
}
]
results = resolver.resolve(
"claim_test", "This is a long answer sentence. [1] Another unrelated claim here.", citations
)
# Claim grounding should exist
all_claims = [cg for r in results for cg in r.claim_grounding]
assert len(all_claims) >= 1
# ---------------------------------------------------------------------------
# Ingest model tests
# ---------------------------------------------------------------------------
def test_visual_grounding_version_constant():
from auralynq.ingest.models import VISUAL_GROUNDING_VERSION
assert VISUAL_GROUNDING_VERSION == 1
def test_document_has_visual_grounding_property():
from auralynq.ingest.models import Document, SourceType
doc = Document(
id="d1",
source="test.pdf",
source_type=SourceType.pdf,
visual_grounding_version=1,
)
assert doc.has_visual_grounding is True
doc_old = Document(
id="d2",
source="old.pdf",
source_type=SourceType.pdf,
visual_grounding_version=0,
)
assert doc_old.has_visual_grounding is False
def test_layout_block_model():
from auralynq.ingest.models import LayoutBlock
blk = LayoutBlock(
page=1,
bbox=[72.0, 100.0, 400.0, 120.0],
normalized_bbox=[0.1, 0.13, 0.55, 0.16],
text="Sample text",
block_type="paragraph",
reading_order=3,
page_width=720.0,
page_height=960.0,
)
assert blk.page == 1
assert blk.block_type == "paragraph"
assert blk.normalized_bbox[0] == pytest.approx(0.1)
# ---------------------------------------------------------------------------
# Settings tests
# ---------------------------------------------------------------------------
def test_visual_grounding_settings_defaults():
from auralynq.config.settings import VisualGroundingSettings
vgs = VisualGroundingSettings()
assert vgs.enabled is True
assert vgs.page_rendering_enabled is True
assert vgs.render_dpi == 144
assert vgs.max_cached_pages == 500
assert vgs.visual_retrieval_enabled is False
assert vgs.metadata_version == 1
def test_settings_has_visual():
import os
os.environ["AURALYNQ_DOTENV_DISABLED"] = "1"
from auralynq.config.settings import Settings
s = Settings(_env_file=None) # type: ignore
assert hasattr(s, "visual")
assert s.visual.enabled is True
# ---------------------------------------------------------------------------
# API endpoint tests
# ---------------------------------------------------------------------------
def test_visual_grounding_settings_endpoint(client):
resp = client.get("/visual-grounding/settings")
assert resp.status_code == 200
data = resp.json()
assert "enabled" in data
assert "page_rendering_enabled" in data
assert "render_dpi" in data
assert "metadata_version" in data
def test_document_pages_invalid_doc_id_returns_result(client):
"""Valid request format but unknown doc_id → empty result (not error)."""
resp = client.get("/documents/abc123def456/pages")
# Should return 200 with empty page list (doc not found = empty metadata)
assert resp.status_code == 200
data = resp.json()
assert "doc_id" in data
assert "pages" in data
def test_document_page_image_invalid_doc_id_rejected(client):
"""Path traversal attempt should be rejected."""
resp = client.get("/documents/../etc/passwd/pages/1/image")
# Either 400, 404, or the path is blocked by FastAPI routing
assert resp.status_code in (400, 404, 422)
def test_document_page_image_bad_doc_id_rejected(client):
"""Doc ID with invalid chars should return 400."""
resp = client.get("/documents/../../etc/pages/1/image")
assert resp.status_code in (400, 404, 422)
def test_document_grounding_status_endpoint(client):
resp = client.get("/documents/abc123def456/grounding-status")
assert resp.status_code == 200
data = resp.json()
assert "doc_id" in data
assert "reindex_required" in data
assert "grounding_available" in data
# ---------------------------------------------------------------------------
# Strategy registry: new experimental strategies
# ---------------------------------------------------------------------------
def test_self_rag_strategy_available():
from auralynq.rag import get_registry
registry = get_registry()
strategies = registry.list_all()
sr = next(s for s in strategies if s["id"] == "self_rag")
assert sr["available"] is True
assert sr["status"] == "experimental"
def test_crag_strategy_available():
from auralynq.rag import get_registry
registry = get_registry()
strategies = registry.list_all()
crag = next(s for s in strategies if s["id"] == "crag")
assert crag["available"] is True
assert crag["status"] == "experimental"
def test_adaptive_strategy_available():
from auralynq.rag import get_registry
registry = get_registry()
strategies = registry.list_all()
adaptive = next(s for s in strategies if s["id"] == "adaptive")
assert adaptive["available"] is True
assert adaptive["status"] == "experimental"
def test_lightrag_local_unavailable():
from auralynq.rag import get_registry
registry = get_registry()
strategies = registry.list_all()
lr = next(s for s in strategies if s["id"] == "lightrag_local")
assert lr["available"] is False
assert lr["unavailable_reason"] is not None
def test_raptor_unavailable():
from auralynq.rag import get_registry
registry = get_registry()
strategies = registry.list_all()
raptor = next(s for s in strategies if s["id"] == "raptor")
assert raptor["available"] is False
assert "hierarchical" in raptor["unavailable_reason"].lower()
def test_all_strategies_have_status_field():
from auralynq.rag import get_registry
registry = get_registry()
for s in registry.list_all():
assert s["status"] in ("available", "experimental", "planned"), f"{s['id']} has bad status"
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