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6a8a839 | 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 | from pathlib import Path
from urllib.parse import urlparse
from app.schemas.document_verification import (
LiveQRVerification,
QRAnalysis,
QRAnalysisItem,
QRBoundingBox,
QRTextConsistency,
)
from app.services.live_qr_verifier import LiveQRVerifier
from app.services.source_url_analyzer import SourceURLAnalyzer
class QRCodeAnalyzer:
def __init__(self) -> None:
self.url_analyzer = SourceURLAnalyzer()
self.live_verifier = LiveQRVerifier()
def analyze(
self,
page_images: list[str],
run_qr: bool,
run_live_qr_check: bool,
extracted_fields: dict[str, str] | None = None,
) -> QRAnalysis:
warnings: list[str] = []
flags: list[str] = []
if not run_qr:
if run_live_qr_check:
warnings.append("QR live browsing is disabled; BitCheck only performs structural QR URL analysis.")
return self._empty(warnings=warnings)
if run_live_qr_check:
warnings.append("QR live browsing is disabled; BitCheck only performs structural QR URL analysis.")
cv2 = self._load_cv2()
if cv2 is None:
warnings.append("OpenCV QRCodeDetector is unavailable; optional pyzbar decoding will be attempted if installed.")
items: list[QRAnalysisItem] = []
barcodes_found = False
seen: set[tuple[str, int]] = set()
for page_index, image_path in enumerate(page_images, start=1):
if cv2 is not None:
image = cv2.imread(str(Path(image_path)))
if image is None:
warnings.append(f"Could not read page image for QR analysis: {image_path}")
continue
for data, bbox in self._detect_qr_cv2(cv2, image):
key = (data, page_index)
if not data or key in seen:
continue
seen.add(key)
items.append(self._build_item(data, page_index, bbox, False, extracted_fields or {}))
pyzbar_items, pyzbar_barcodes = self._detect_with_pyzbar(image_path, page_index, seen, False, extracted_fields or {})
items.extend(pyzbar_items)
barcodes_found = barcodes_found or pyzbar_barcodes
consistency = self._qr_text_consistency(items, extracted_fields or {})
risk = max([item.url_analysis.risk_score for item in items if item.url_analysis] + [consistency.risk_score, 0.0])
live_risks = [item.live_verification.risk_score for item in items if item.live_verification and item.live_verification.risk_score is not None]
if live_risks:
risk = max(risk, max(live_risks))
for item in items:
if item.url_analysis:
flags.extend(item.url_analysis.flags)
if item.live_verification:
flags.extend(item.live_verification.flags)
flags.extend(consistency.mismatch_flags)
return QRAnalysis(
checked=True,
qr_found=bool(items),
barcodes_found=barcodes_found,
items=items,
qr_text_consistency=consistency,
risk_score=round(min(risk, 1.0), 2),
flags=list(dict.fromkeys(flags)),
warnings=warnings,
)
def _build_item(
self,
data: str,
page: int,
bbox: QRBoundingBox,
run_live_qr_check: bool,
extracted_fields: dict[str, str],
) -> QRAnalysisItem:
data_type = self._classify_data(data)
url_analysis = self.url_analyzer.analyze(data) if data_type == "url" else None
live_verification: LiveQRVerification | None = None
if url_analysis:
eligible = url_analysis.scheme in {"http", "https"} and not url_analysis.is_private_or_internal
live_verification = self.live_verifier.not_requested(eligible=eligible)
return QRAnalysisItem(
type="QR_CODE",
data=data,
data_type=data_type,
page=page,
bbox=bbox,
url_analysis=url_analysis,
live_verification=live_verification,
)
def _detect_qr_cv2(self, cv2, image) -> list[tuple[str, QRBoundingBox]]:
detector = cv2.QRCodeDetector()
results: list[tuple[str, QRBoundingBox]] = []
try:
ok, decoded_info, points, _ = detector.detectAndDecodeMulti(image)
if ok and points is not None:
for data, point_set in zip(decoded_info, points):
results.append((data, self._bbox_from_points(point_set)))
return results
except Exception:
pass
try:
data, points, _ = detector.detectAndDecode(image)
if data and points is not None:
results.append((data, self._bbox_from_points(points[0])))
except Exception:
pass
return results
def _detect_with_pyzbar(
self,
image_path: str,
page: int,
seen: set[tuple[str, int]],
run_live_qr_check: bool,
extracted_fields: dict[str, str],
) -> tuple[list[QRAnalysisItem], bool]:
try:
from PIL import Image
from pyzbar.pyzbar import decode
except Exception:
return [], False
items: list[QRAnalysisItem] = []
barcodes_found = False
try:
decoded = decode(Image.open(image_path))
except Exception:
return [], False
for item in decoded:
data = item.data.decode("utf-8", errors="ignore")
key = (data, page)
if key in seen:
continue
seen.add(key)
rect = item.rect
bbox = QRBoundingBox(x=rect.left, y=rect.top, width=rect.width, height=rect.height)
if item.type == "QRCODE":
items.append(self._build_item(data, page, bbox, run_live_qr_check, extracted_fields))
else:
barcodes_found = True
return items, barcodes_found
def _qr_text_consistency(self, items: list[QRAnalysisItem], fields: dict[str, str]) -> QRTextConsistency:
matched: list[str] = []
mismatches: list[str] = []
searchable = " ".join(item.data for item in items).lower()
for key, value in fields.items():
if value and str(value).lower() in searchable:
matched.append(key)
return QRTextConsistency(
checked=True,
matched_document_fields=matched,
mismatch_flags=mismatches,
risk_score=0.0 if not mismatches else 0.4,
)
def _bbox_from_points(self, points) -> QRBoundingBox:
xs = [int(point[0]) for point in points]
ys = [int(point[1]) for point in points]
return QRBoundingBox(x=min(xs), y=min(ys), width=max(xs) - min(xs), height=max(ys) - min(ys))
def _classify_data(self, data: str) -> str:
parsed = urlparse(data)
if parsed.scheme in {"http", "https"} and parsed.netloc:
return "url"
if data.lower().startswith("mailto:") or "@" in data:
return "email"
if data.lower().startswith("tel:") or data.replace("+", "").replace("-", "").replace(" ", "").isdigit():
return "phone"
if data.strip():
return "plain_text"
return "unknown"
def _empty(self, warnings: list[str] | None = None) -> QRAnalysis:
return QRAnalysis(
checked=True,
qr_found=False,
barcodes_found=False,
items=[],
qr_text_consistency=QRTextConsistency(
checked=True,
matched_document_fields=[],
mismatch_flags=[],
risk_score=0.0,
),
risk_score=0.0,
flags=[],
warnings=warnings or [],
)
def _load_cv2(self):
try:
import cv2
return cv2
except Exception:
return None
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