File size: 3,994 Bytes
dcc24f8 |
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 |
"""
Integration Tests for FinEE Extractor (Pipeline).
Tests the full 5-tier pipeline including:
- Additive merge (Regex + Rules + LLM)
- Graceful degradation (No backend)
- Mocked LLM responses
"""
import pytest
from unittest.mock import MagicMock, patch
from finee.extractor import FinEE, ExtractionConfig
from finee.schema import ExtractionResult, TransactionType, Category, ExtractionSource
from finee.backends import BaseBackend
# Mock Backend for testing Tier 3
class MockBackend(BaseBackend):
def is_available(self):
return True
def load_model(self, path=None):
self._loaded = True
return True
def generate(self, prompt, **kwargs):
# Respond based on prompt content
if "merchant" in prompt.lower():
return "Uber"
if "category" in prompt.lower():
return "transport"
if "date" in prompt.lower():
return "01-01-2025"
return ""
@pytest.fixture
def extractor_no_llm():
"""Extractor with LLM disabled (Regex + Rules only)."""
config = ExtractionConfig(use_llm=False)
return FinEE(config)
@pytest.fixture
def extractor_with_mock_llm():
"""Extractor with Mock LLM (Full Pipeline)."""
config = ExtractionConfig(use_llm=True)
extractor = FinEE(config)
extractor._backend = MockBackend()
extractor._backend_loaded = True
return extractor
def test_tier1_regex_only(extractor_no_llm):
"""Test Tier 1 regex extraction works without LLM."""
text = "Rs.500.00 debited from A/c 1234"
result = extractor_no_llm.extract(text)
assert result.amount == 500.0
assert result.type == TransactionType.DEBIT
assert result.account == "1234"
assert result.confidence_score > 0.0 # Should have some confidence
def test_tier2_rules_enrichment(extractor_no_llm):
"""Test Tier 2 rules (VPA -> Merchant) works without LLM."""
text = "Rs.250 paid to swiggy@ybl"
result = extractor_no_llm.extract(text)
assert result.amount == 250.0
assert result.vpa == "swiggy@ybl"
assert result.merchant == "Swiggy" # Tier 2
assert result.category == Category.FOOD # Tier 2
def test_tier3_additive_merge(extractor_with_mock_llm):
"""
Test Additive Merge:
- Tier 1 gets Amount
- Tier 3 Mock LLM gets Merchant/Category
"""
text = "Rs.500 paid for taxi ride"
# Mock LLM will return "Uber" and "transport" when asked
result = extractor_with_mock_llm.extract(text)
# Check mix of sources
assert result.amount == 500.0 # Tier 1 (Regex)
assert result.merchant == "Uber" # Tier 3 (Mock LLM)
assert result.category == Category.TRANSPORT # Tier 3 (Mock LLM)
# Check source metadata
assert result.meta['amount'].source == ExtractionSource.REGEX
assert result.meta['merchant'].source == ExtractionSource.LLM
def test_graceful_degradation():
"""Test that pipeline works even if LLM fails/is missing."""
config = ExtractionConfig(use_llm=True)
extractor = FinEE(config)
# Force backend to be None (simulate no backends installed)
extractor._backend = None
extractor._backend_loaded = True
text = "Rs.100 debited"
result = extractor.extract(text)
# Should still get regex results
assert result.amount == 100.0
assert result.type == TransactionType.DEBIT
# Should not crash
def test_full_pipeline_consistency():
"""Test consistent output through full pipeline."""
# This text contains everything extractable by Regex + Rules
text = "Rs.2500 debited from HDFC A/c 1234 to swiggy@ybl on 01-01-2025"
config = ExtractionConfig(use_llm=False) # Pure deterministic pipeline
extractor = FinEE(config)
result = extractor.extract(text)
assert result.is_complete()
assert result.amount == 2500.0
assert result.merchant == "Swiggy"
assert result.category == Category.FOOD
assert result.date == "01-01-2025"
|