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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 | """Tests for Source Workspace backend endpoints and schema."""
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())
# ---------------------------------------------------------------------------
# Schema tests
# ---------------------------------------------------------------------------
def test_page_layout_block_schema():
from auralynq.serving.schemas import PageLayoutBlock
blk = PageLayoutBlock(
block_id="chunk_001",
page=1,
bbox=[10.0, 20.0, 300.0, 80.0],
normalized_bbox=[0.01, 0.02, 0.30, 0.08],
text="Hello world this is a test paragraph.",
block_type="paragraph",
chunk_id="chunk_001",
relevance=0.85,
confidence=0.9,
is_cited=True,
citation_ids=["1"],
)
assert blk.page == 1
assert blk.block_type == "paragraph"
assert len(blk.normalized_bbox) == 4
assert blk.is_cited is True
def test_page_layout_response_schema():
from auralynq.serving.schemas import PageLayoutBlock, PageLayoutResponse
resp = PageLayoutResponse(
doc_id="abc123",
page=2,
blocks=[
PageLayoutBlock(
block_id="c1",
page=2,
bbox=[0, 0, 100, 50],
normalized_bbox=[0.0, 0.0, 0.5, 0.1],
text="Test block",
block_type="title",
chunk_id="c1",
)
],
source_title="My PDF",
page_width=612.0,
page_height=792.0,
)
assert resp.doc_id == "abc123"
assert len(resp.blocks) == 1
assert resp.blocks[0].block_type == "title"
assert resp.page_width == 612.0
# ---------------------------------------------------------------------------
# Endpoint: document page layout
# ---------------------------------------------------------------------------
def test_page_layout_invalid_doc_id(client):
"""Invalid doc_id format returns 400."""
r = client.get("/documents/../etc/passwd/pages/1/layout")
assert r.status_code in (400, 404, 422)
def test_page_layout_invalid_page_number(client):
"""Page number 0 or very large returns 400."""
r = client.get("/documents/abcdef1234567890abcdef1234567890/pages/0/layout")
assert r.status_code == 400
r2 = client.get("/documents/abcdef1234567890abcdef1234567890/pages/10000/layout")
assert r2.status_code == 400
def test_page_layout_empty_corpus(client):
"""Layout endpoint on unknown doc returns empty blocks (not 500)."""
r = client.get("/documents/abcdef1234567890abcdef1234567890/pages/1/layout")
# Should succeed with empty blocks (doc not found → empty meta)
assert r.status_code == 200
data = r.json()
assert "blocks" in data
assert isinstance(data["blocks"], list)
assert data["doc_id"] == "abcdef1234567890abcdef1234567890"
assert data["page"] == 1
def test_page_layout_response_structure(client):
"""Layout response has all required fields."""
r = client.get("/documents/abcdef1234567890abcdef1234567890/pages/1/layout")
assert r.status_code == 200
data = r.json()
assert set(data.keys()) >= {
"doc_id",
"page",
"blocks",
"source_title",
"page_width",
"page_height",
}
# ---------------------------------------------------------------------------
# Endpoint: document pages (existing, smoke test)
# ---------------------------------------------------------------------------
def test_document_pages_unknown_doc(client):
"""Pages endpoint returns a valid response for unknown doc."""
r = client.get("/documents/abcdef1234567890abcdef1234567890/pages")
assert r.status_code == 200
data = r.json()
assert "pages" in data
assert data["n_pages"] == 0
# ---------------------------------------------------------------------------
# Endpoint: grounding-status
# ---------------------------------------------------------------------------
def test_grounding_status_unknown_doc(client):
"""Grounding status returns a valid response structure for unknown doc."""
r = client.get("/documents/abcdef1234567890abcdef1234567890/grounding-status")
assert r.status_code == 200
data = r.json()
assert "grounding_available" in data
assert "reindex_required" in data
assert data["reindex_required"] is True
# ---------------------------------------------------------------------------
# Endpoint: corpus grounding summary
# ---------------------------------------------------------------------------
def test_corpus_grounding_summary(client):
"""Grounding summary returns enabled flag and document counts."""
r = client.get("/corpus/grounding-summary")
assert r.status_code == 200
data = r.json()
assert "enabled" in data
assert "total_docs" in data
assert "grounded_docs" in data
assert "needs_reindex" in data
# ---------------------------------------------------------------------------
# Endpoint: visual grounding settings
# ---------------------------------------------------------------------------
def test_visual_grounding_settings(client):
"""Settings endpoint returns render configuration."""
r = client.get("/visual-grounding/settings")
assert r.status_code == 200
data = r.json()
assert "enabled" in data
assert "render_dpi" in data
assert "max_cached_pages" in data
# ---------------------------------------------------------------------------
# Security: no internal paths in layout response
# ---------------------------------------------------------------------------
def test_layout_no_internal_paths(client):
"""Layout response body must not expose filesystem paths."""
r = client.get("/documents/abcdef1234567890abcdef1234567890/pages/1/layout")
assert r.status_code == 200
body = r.text
for sensitive in ["/home/", "/var/", "/etc/", "storage_dir", "page_cache"]:
assert sensitive not in body, f"Found internal path '{sensitive}' in response"
# ---------------------------------------------------------------------------
# Resolver: claim grounding analysis
# ---------------------------------------------------------------------------
def test_resolver_span_level_grounding():
"""Citation with bbox → span-level grounding stage."""
from auralynq.grounding.resolver import GroundingResolver
resolver = GroundingResolver()
citations = [
{
"marker": 1,
"source": "test.pdf",
"doc_id": "doc_abc",
"page": 2,
"visual_grounding": {
"grounding_version": 1,
"page": 2,
"has_bbox": True,
"bbox": [50.0, 100.0, 400.0, 150.0],
"normalized_bbox": [0.08, 0.13, 0.65, 0.19],
"block_type": "paragraph",
},
"score": 0.88,
"_snippet": "This is the cited text.",
}
]
results = resolver.resolve("ans_1", "The document states [1] this fact.", citations)
assert len(results) == 1
assert results[0].grounding_stage == "span"
assert results[0].visual_grounding_available is True
assert results[0].highlights[0].support_type == "span"
assert results[0].highlights[0].normalized_bbox is not None
def test_resolver_page_level_fallback():
"""Citation with page but no bbox → page-level grounding."""
from auralynq.grounding.resolver import GroundingResolver
resolver = GroundingResolver()
citations = [
{
"marker": 1,
"source": "test.pdf",
"doc_id": "doc_xyz",
"page": 3,
"visual_grounding": {
"grounding_version": 1,
"page": 3,
"has_bbox": False,
},
"score": 0.75,
}
]
results = resolver.resolve("ans_2", "The answer is [1] here.", citations)
assert len(results) == 1
assert results[0].grounding_stage == "page"
assert results[0].visual_grounding_available is True
assert results[0].highlights[0].support_type == "page"
def test_resolver_to_api_response():
"""to_api_response produces the expected dict structure."""
from auralynq.grounding.resolver import GroundingResolver
resolver = GroundingResolver()
citations = [
{
"marker": 1,
"source": "doc.pdf",
"doc_id": "doc_001",
"page": 1,
"visual_grounding": {
"grounding_version": 1,
"page": 1,
"has_bbox": True,
"bbox": [0, 0, 100, 50],
"normalized_bbox": [0.0, 0.0, 0.5, 0.1],
"block_type": "title",
},
"score": 0.9,
}
]
results = resolver.resolve("ans_3", "The title [1] says hello.", 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 "visual_grounding_available" in api_resp
assert "grounding_stage" in api_resp
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["citation_id"] == "1"
assert h["block_type"] == "title"
assert h["normalized_bbox"] == [0.0, 0.0, 0.5, 0.1]
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