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motovaultpro/ocr/tests/test_receipt_extraction.py
Eric Gullickson 6319d50fb1
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feat: add receipt OCR pipeline (refs #69)
Implement receipt-specific OCR extraction for fuel receipts:

- Pattern matching modules for date, currency, and fuel data extraction
- Receipt-optimized image preprocessing for thermal receipts
- POST /extract/receipt endpoint with field extraction
- Confidence scoring per extracted field
- Cross-validation of fuel receipt data
- Unit tests for all pattern matchers

Extracted fields: merchantName, transactionDate, totalAmount,
fuelQuantity, pricePerUnit, fuelGrade

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2026-02-01 20:43:30 -06:00

340 lines
12 KiB
Python

"""Tests for receipt extraction pipeline."""
import io
import pytest
from unittest.mock import MagicMock, patch
from app.extractors.receipt_extractor import (
ReceiptExtractor,
ReceiptExtractionResult,
receipt_extractor,
)
from app.extractors.fuel_receipt import (
FuelReceiptExtractor,
FuelReceiptValidation,
fuel_receipt_extractor,
)
class TestReceiptExtractor:
"""Test the receipt extraction pipeline."""
def test_detect_receipt_type_fuel(self) -> None:
"""Test fuel receipt type detection."""
text = """
SHELL STATION
REGULAR 87
10.500 GAL
TOTAL $38.50
"""
extractor = ReceiptExtractor()
receipt_type = extractor._detect_receipt_type(text)
assert receipt_type == "fuel"
def test_detect_receipt_type_unknown(self) -> None:
"""Test unknown receipt type detection."""
text = """
WALMART
GROCERIES
MILK $3.99
BREAD $2.50
TOTAL $6.49
"""
extractor = ReceiptExtractor()
receipt_type = extractor._detect_receipt_type(text)
assert receipt_type == "unknown"
def test_extract_fuel_fields(self) -> None:
"""Test fuel field extraction from OCR text."""
text = """
SHELL
123 MAIN ST
DATE: 01/15/2024
REGULAR 87
10.500 GAL @ $3.679
TOTAL $38.63
"""
extractor = ReceiptExtractor()
fields = extractor._extract_fuel_fields(text)
assert "merchantName" in fields
assert "transactionDate" in fields
assert "totalAmount" in fields
assert "fuelQuantity" in fields
assert "pricePerUnit" in fields
assert "fuelGrade" in fields
assert fields["totalAmount"].value == 38.63
assert fields["fuelQuantity"].value == 10.5
assert fields["fuelGrade"].value == "87"
def test_extract_generic_fields(self) -> None:
"""Test generic field extraction."""
text = """
WALMART
01/15/2024
TOTAL $25.99
"""
extractor = ReceiptExtractor()
fields = extractor._extract_generic_fields(text)
assert "transactionDate" in fields
assert "totalAmount" in fields
assert fields["totalAmount"].value == 25.99
def test_calculated_price_per_unit(self) -> None:
"""Test price per unit calculation when not explicitly stated."""
text = """
SHELL
DATE: 01/15/2024
10.000 GAL
TOTAL $35.00
"""
extractor = ReceiptExtractor()
fields = extractor._extract_fuel_fields(text)
assert "pricePerUnit" in fields
# 35.00 / 10.000 = 3.50
assert abs(fields["pricePerUnit"].value - 3.50) < 0.01
# Calculated values should have lower confidence
assert fields["pricePerUnit"].confidence < 0.9
def test_validate_valid_data(self) -> None:
"""Test validation of valid receipt data."""
extractor = ReceiptExtractor()
data = {"totalAmount": 38.63, "transactionDate": "2024-01-15"}
assert extractor.validate(data) is True
def test_validate_invalid_data(self) -> None:
"""Test validation of invalid receipt data."""
extractor = ReceiptExtractor()
# Empty dict
assert extractor.validate({}) is False
# Not a dict
assert extractor.validate("invalid") is False
def test_unsupported_file_type(self) -> None:
"""Test handling of unsupported file types."""
extractor = ReceiptExtractor()
with patch.object(extractor, "_detect_mime_type", return_value="application/pdf"):
result = extractor.extract(b"fake pdf content")
assert result.success is False
assert "Unsupported file type" in result.error
class TestFuelReceiptExtractor:
"""Test fuel receipt specialized extractor."""
def test_validation_success(self) -> None:
"""Test validation passes for consistent data."""
from app.extractors.receipt_extractor import ExtractedField
extractor = FuelReceiptExtractor()
fields = {
"totalAmount": ExtractedField(value=38.63, confidence=0.95),
"fuelQuantity": ExtractedField(value=10.5, confidence=0.90),
"pricePerUnit": ExtractedField(value=3.679, confidence=0.92),
"fuelGrade": ExtractedField(value="87", confidence=0.88),
}
validation = extractor._validate_fuel_receipt(fields)
assert validation.is_valid is True
assert len(validation.issues) == 0
assert validation.confidence_score == 1.0
def test_validation_math_mismatch(self) -> None:
"""Test validation catches total != quantity * price."""
from app.extractors.receipt_extractor import ExtractedField
extractor = FuelReceiptExtractor()
fields = {
"totalAmount": ExtractedField(value=50.00, confidence=0.95),
"fuelQuantity": ExtractedField(value=10.0, confidence=0.90),
"pricePerUnit": ExtractedField(value=3.00, confidence=0.92), # Should be $30
}
validation = extractor._validate_fuel_receipt(fields)
assert validation.is_valid is False
assert any("doesn't match" in issue for issue in validation.issues)
def test_validation_quantity_too_small(self) -> None:
"""Test validation catches too-small quantity."""
from app.extractors.receipt_extractor import ExtractedField
extractor = FuelReceiptExtractor()
fields = {
"totalAmount": ExtractedField(value=1.00, confidence=0.95),
"fuelQuantity": ExtractedField(value=0.1, confidence=0.90),
}
validation = extractor._validate_fuel_receipt(fields)
assert any("too small" in issue for issue in validation.issues)
def test_validation_quantity_too_large(self) -> None:
"""Test validation warns on very large quantity."""
from app.extractors.receipt_extractor import ExtractedField
extractor = FuelReceiptExtractor()
fields = {
"totalAmount": ExtractedField(value=150.00, confidence=0.95),
"fuelQuantity": ExtractedField(value=45.0, confidence=0.90),
}
validation = extractor._validate_fuel_receipt(fields)
assert any("unusually large" in issue for issue in validation.issues)
def test_validation_price_too_low(self) -> None:
"""Test validation catches too-low price."""
from app.extractors.receipt_extractor import ExtractedField
extractor = FuelReceiptExtractor()
fields = {
"totalAmount": ExtractedField(value=10.00, confidence=0.95),
"pricePerUnit": ExtractedField(value=1.00, confidence=0.90),
}
validation = extractor._validate_fuel_receipt(fields)
assert any("too low" in issue for issue in validation.issues)
def test_validation_unknown_grade(self) -> None:
"""Test validation catches unknown fuel grade."""
from app.extractors.receipt_extractor import ExtractedField
extractor = FuelReceiptExtractor()
fields = {
"totalAmount": ExtractedField(value=38.00, confidence=0.95),
"fuelGrade": ExtractedField(value="95", confidence=0.70), # Not valid US grade
}
validation = extractor._validate_fuel_receipt(fields)
assert any("Unknown fuel grade" in issue for issue in validation.issues)
def test_confidence_adjustment_boost(self) -> None:
"""Test confidence boost when validation passes."""
from app.extractors.receipt_extractor import ExtractedField
extractor = FuelReceiptExtractor()
fields = {
"totalAmount": ExtractedField(value=38.63, confidence=0.80),
}
validation = FuelReceiptValidation(
is_valid=True, issues=[], confidence_score=1.0
)
adjusted = extractor._adjust_confidences(fields, validation)
# Should be boosted by 1.1
assert adjusted["totalAmount"].confidence == min(1.0, 0.80 * 1.1)
def test_confidence_adjustment_reduce(self) -> None:
"""Test confidence reduction when validation fails."""
from app.extractors.receipt_extractor import ExtractedField
extractor = FuelReceiptExtractor()
fields = {
"totalAmount": ExtractedField(value=50.00, confidence=0.90),
}
validation = FuelReceiptValidation(
is_valid=False, issues=["Math mismatch"], confidence_score=0.7
)
adjusted = extractor._adjust_confidences(fields, validation)
# Should be reduced by 0.7
assert adjusted["totalAmount"].confidence == 0.90 * 0.7
class TestReceiptPreprocessing:
"""Test receipt preprocessing integration."""
def test_preprocessing_result_structure(self) -> None:
"""Test preprocessing returns expected structure."""
from app.preprocessors.receipt_preprocessor import (
receipt_preprocessor,
ReceiptPreprocessingResult,
)
# Create a simple test image (1x1 white pixel PNG)
from PIL import Image
img = Image.new("RGB", (100, 100), color="white")
buffer = io.BytesIO()
img.save(buffer, format="PNG")
image_bytes = buffer.getvalue()
result = receipt_preprocessor.preprocess(image_bytes)
assert isinstance(result, ReceiptPreprocessingResult)
assert len(result.image_bytes) > 0
assert "loaded" in result.preprocessing_applied
assert "grayscale" in result.preprocessing_applied
assert result.original_width == 100
assert result.original_height == 100
def test_preprocessing_steps_applied(self) -> None:
"""Test all preprocessing steps are applied."""
from app.preprocessors.receipt_preprocessor import receipt_preprocessor
from PIL import Image
img = Image.new("RGB", (100, 100), color="white")
buffer = io.BytesIO()
img.save(buffer, format="PNG")
image_bytes = buffer.getvalue()
result = receipt_preprocessor.preprocess(
image_bytes,
apply_contrast=True,
apply_deskew=True,
apply_denoise=True,
apply_threshold=True,
apply_sharpen=True,
)
# Check that expected steps are in the applied list
assert "contrast" in result.preprocessing_applied
assert "denoise" in result.preprocessing_applied
assert "threshold" in result.preprocessing_applied
class TestEndpointIntegration:
"""Test receipt extraction endpoint integration."""
@pytest.fixture
def test_client(self):
"""Create test client for FastAPI app."""
from fastapi.testclient import TestClient
from app.main import app
return TestClient(app)
def test_receipt_endpoint_exists(self, test_client) -> None:
"""Test that /extract/receipt endpoint exists."""
# Should get 422 (no file) not 404 (not found)
response = test_client.post("/extract/receipt")
assert response.status_code == 422 # Unprocessable Entity (missing file)
def test_receipt_endpoint_no_file(self, test_client) -> None:
"""Test endpoint returns error when no file provided."""
response = test_client.post("/extract/receipt")
assert response.status_code == 422
def test_receipt_endpoint_empty_file(self, test_client) -> None:
"""Test endpoint returns error for empty file."""
response = test_client.post(
"/extract/receipt",
files={"file": ("receipt.jpg", b"", "image/jpeg")},
)
assert response.status_code == 400
assert "Empty file" in response.json()["detail"]