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This commit is contained in:
harkon
2025-10-11 08:41:36 +01:00
commit b324ff09ef
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"""Pytest configuration and shared fixtures for coverage tests."""
# FILE: tests/conftest.py
import asyncio
import os
import tempfile
from datetime import datetime
from pathlib import Path
from unittest.mock import AsyncMock, MagicMock
import pytest
import yaml
from libs.schemas import (
CompiledCoveragePolicy,
ConflictRules,
CoveragePolicy,
Defaults,
EvidenceItem,
Privacy,
QuestionTemplates,
Role,
SchedulePolicy,
StatusClassifier,
StatusClassifierConfig,
TaxYearBoundary,
Trigger,
)
# pylint: disable=wrong-import-position,import-error,too-few-public-methods,global-statement
# pylint: disable=raise-missing-from,unused-argument,too-many-arguments,too-many-positional-arguments
# pylint: disable=too-many-locals,import-outside-toplevel
# mypy: disable-error-code=union-attr
# mypy: disable-error-code=no-untyped-def
@pytest.fixture(scope="session")
def event_loop():
"""Create an instance of the default event loop for the test session."""
loop = asyncio.get_event_loop_policy().new_event_loop()
yield loop
loop.close()
@pytest.fixture
def temp_config_dir():
"""Create temporary config directory with test policy files"""
with tempfile.TemporaryDirectory() as temp_dir:
config_dir = Path(temp_dir)
# Create baseline policy
baseline_policy = {
"version": "1.0",
"jurisdiction": "UK",
"tax_year": "2024-25",
"tax_year_boundary": {"start": "2024-04-06", "end": "2025-04-05"},
"defaults": {
"confidence_thresholds": {"ocr": 0.82, "extract": 0.85},
"date_tolerance_days": 30,
},
"document_kinds": ["P60", "P11D", "P45"],
"triggers": {
"SA102": {"any_of": ["exists(IncomeItem[type='Employment'])"]},
"SA105": {"any_of": ["exists(IncomeItem[type='UKPropertyRent'])"]},
},
"schedules": {
"SA102": {
"evidence": [
{
"id": "P60",
"role": "REQUIRED",
"boxes": ["SA102_b1", "SA102_b2"],
"acceptable_alternatives": ["P45", "FinalPayslipYTD"],
},
{
"id": "P11D",
"role": "CONDITIONALLY_REQUIRED",
"condition": "exists(BenefitInKind=true)",
"boxes": ["SA102_b9"],
},
]
},
"SA105": {
"evidence": [
{
"id": "LettingAgentStatements",
"role": "REQUIRED",
"boxes": ["SA105_b5"],
}
]
},
},
"status_classifier": {
"present_verified": {
"min_ocr": 0.82,
"min_extract": 0.85,
"date_in_year": True,
},
"present_unverified": {
"min_ocr": 0.60,
"min_extract": 0.70,
"date_in_year_or_tolerance": True,
},
"conflicting": {"conflict_rules": ["Same doc kind, different totals"]},
"missing": {"default": True},
},
"conflict_resolution": {"precedence": ["P60", "P11D"]},
"question_templates": {
"default": {
"text": "To complete the {schedule} for {tax_year}, we need {evidence}.",
"why": "{why}. See guidance: {guidance_doc}.",
}
},
"privacy": {"vector_pii_free": True, "redact_patterns": []},
}
with open(config_dir / "coverage.yaml", "w") as f:
yaml.dump(baseline_policy, f)
yield config_dir
@pytest.fixture
def sample_policy():
"""Create sample compiled policy for testing"""
policy = CoveragePolicy(
version="1.0",
jurisdiction="UK",
tax_year="2024-25",
tax_year_boundary=TaxYearBoundary(start="2024-04-06", end="2025-04-05"),
defaults=Defaults(
confidence_thresholds={"ocr": 0.82, "extract": 0.85},
date_tolerance_days=30,
),
document_kinds=["P60", "P11D"],
triggers={"SA102": Trigger(any_of=["exists(IncomeItem[type='Employment'])"])},
schedules={
"SA102": SchedulePolicy(
evidence=[
EvidenceItem(
id="P60",
role=Role.REQUIRED,
boxes=["SA102_b1", "SA102_b2"],
acceptable_alternatives=["P45", "FinalPayslipYTD"],
)
]
)
},
status_classifier=StatusClassifierConfig(
present_verified=StatusClassifier(min_ocr=0.82, min_extract=0.85),
present_unverified=StatusClassifier(min_ocr=0.60, min_extract=0.70),
conflicting=StatusClassifier(conflict_rules=[]),
missing=StatusClassifier(conflict_rules=[]),
),
conflict_resolution=ConflictRules(precedence=["P60"]),
question_templates=QuestionTemplates(default={"text": "test", "why": "test"}),
privacy=Privacy(vector_pii_free=True, redact_patterns=[]),
)
# Create compiled policy with mock predicates
compiled = CompiledCoveragePolicy(
policy=policy,
compiled_predicates={
"exists(IncomeItem[type='Employment'])": lambda tid, ty: True
},
compiled_at=datetime.utcnow(),
hash="test-hash",
source_files=["test.yaml"],
)
return compiled
@pytest.fixture
def mock_kg_client():
"""Create mock KG client for testing"""
client = AsyncMock()
# Default successful evidence finding
client.run_query = AsyncMock(
return_value=[
{
"doc_id": "DOC-P60-001",
"kind": "P60",
"page": 1,
"bbox": {"x": 100, "y": 200, "width": 300, "height": 50},
"ocr_confidence": 0.95,
"extract_confidence": 0.92,
"date": "2024-05-15",
}
]
)
return client
@pytest.fixture
def mock_rag_client():
"""Create mock RAG client for testing"""
client = AsyncMock()
# Default citation search results
client.search = AsyncMock(
return_value=[
{
"doc_id": "SA102-Notes-2025",
"locator": "p.3 §1.1",
"url": "https://docs.local/SA102-Notes-2025#p3s1.1",
}
]
)
return client
@pytest.fixture
def mock_db_session():
"""Create mock database session for testing"""
session = AsyncMock()
# Mock database operations
session.add = MagicMock()
session.commit = AsyncMock()
session.rollback = AsyncMock()
session.close = AsyncMock()
return session
@pytest.fixture
def mock_policy_loader():
"""Create mock policy loader for testing"""
loader = MagicMock()
# Mock policy loading
loader.load_policy = MagicMock()
loader.compile_predicates = MagicMock()
loader.validate_policy = MagicMock()
return loader
@pytest.fixture(autouse=True)
def setup_test_environment():
"""Set up test environment variables"""
original_env = os.environ.copy()
# Set test environment variables
os.environ.update(
{
"ENVIRONMENT": "test",
"CONFIG_DIR": "/tmp/test-config",
"NEO4J_URI": "bolt://localhost:7687",
"NEO4J_USER": "neo4j",
"NEO4J_PASSWORD": "testpass",
"POSTGRES_URL": "postgresql://postgres:postgres@localhost:5432/test_db",
"QDRANT_URL": "http://localhost:6333",
"VAULT_URL": "http://localhost:8200",
"VAULT_TOKEN": "test-token",
}
)
yield
# Restore original environment
os.environ.clear()
os.environ.update(original_env)
@pytest.fixture
def sample_evidence_data():
"""Sample evidence data for testing"""
return [
{
"doc_id": "DOC-P60-001",
"kind": "P60",
"page": 1,
"bbox": {"x": 100, "y": 200, "width": 300, "height": 50},
"ocr_confidence": 0.95,
"extract_confidence": 0.92,
"date": "2024-05-15T10:00:00Z",
},
{
"doc_id": "DOC-P11D-001",
"kind": "P11D",
"page": 1,
"bbox": {"x": 50, "y": 100, "width": 400, "height": 60},
"ocr_confidence": 0.88,
"extract_confidence": 0.90,
"date": "2024-07-06T14:30:00Z",
},
]
@pytest.fixture
def sample_citation_data():
"""Sample citation data for testing"""
return [
{
"rule_id": "UK.SA102.P60.Required",
"doc_id": "SA102-Notes-2025",
"locator": "p.3 §1.1",
"url": "https://docs.local/SA102-Notes-2025#p3s1.1",
},
{
"rule_id": "UK.SA102.P11D.Conditional",
"doc_id": "SA102-Notes-2025",
"locator": "p.5 §2.3",
"url": "https://docs.local/SA102-Notes-2025#p5s2.3",
},
]
# Pytest markers for test categorization
pytest_plugins: list[str] = []
def pytest_configure(config):
"""Configure pytest markers"""
config.addinivalue_line("markers", "unit: mark test as a unit test")
config.addinivalue_line("markers", "integration: mark test as an integration test")
config.addinivalue_line("markers", "e2e: mark test as an end-to-end test")
config.addinivalue_line("markers", "slow: mark test as slow running")
def pytest_collection_modifyitems(config, items):
"""Automatically mark tests based on their location"""
for item in items:
# Mark tests based on directory structure
if "unit" in str(item.fspath):
item.add_marker(pytest.mark.unit)
elif "integration" in str(item.fspath):
item.add_marker(pytest.mark.integration)
elif "e2e" in str(item.fspath):
item.add_marker(pytest.mark.e2e)
# Mark async tests
if asyncio.iscoroutinefunction(item.function):
item.add_marker(pytest.mark.asyncio)

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"""End-to-end test for coverage to compute flow integration."""
# FILE: tests/e2e/test_coverage_to_compute_flow.py
import os
import sys
from unittest.mock import patch
import pytest
from fastapi.testclient import TestClient
sys.path.append(os.path.join(os.path.dirname(__file__), "..", ".."))
sys.path.append(
os.path.join(os.path.dirname(__file__), "..", "..", "apps", "svc-coverage")
)
from libs.schemas import OverallStatus, Role, Status
def create_test_app():
"""Create a test FastAPI app without problematic startup events"""
from fastapi import FastAPI
from libs.config import BaseAppSettings
from libs.security import TrustedProxyMiddleware
# Create minimal settings
class TestSettings(BaseAppSettings):
service_name: str = "test-coverage"
internal_cidrs: list[str] = ["127.0.0.1/32"]
settings = TestSettings()
# Create test app
test_app = FastAPI(
title="Test Coverage Service",
description="Test coverage service",
version="1.0.0",
)
# Add middleware
test_app.add_middleware(
TrustedProxyMiddleware, internal_cidrs=settings.internal_cidrs
)
# Import and add routes from main app
from main import app as main_app
test_app.router = main_app.router
return test_app
class TestCoverageToComputeFlow:
"""Test end-to-end flow from coverage checking to compute triggering"""
@pytest.fixture
def client(self):
"""Create test client"""
test_app = create_test_app()
return TestClient(test_app)
@pytest.fixture
def mock_dependencies(self):
"""Mock all external dependencies"""
with (
patch("sys.modules") as mock_modules,
patch("libs.policy.loader.PolicyLoader") as mock_loader,
patch("libs.neo.client.Neo4jClient") as mock_kg,
patch("libs.rag.retriever.RAGRetriever") as mock_rag,
patch("sqlalchemy.orm.Session") as mock_db,
patch("libs.config.create_neo4j_client") as mock_create_neo4j,
patch("libs.config.create_event_bus") as mock_create_event_bus,
patch("libs.policy.get_policy_loader") as mock_get_policy_loader,
):
# Mock policy loader
from unittest.mock import Mock
mock_policy = Mock()
mock_policy.policy.version = "1.0"
mock_policy.policy.jurisdiction = "UK"
mock_policy.policy.tax_year = "2024-25"
mock_loader.return_value.load_policy.return_value = mock_policy
mock_loader.return_value.compile_predicates.return_value = mock_policy
# Mock KG client
mock_kg_client = Mock()
mock_kg.return_value = mock_kg_client
# Mock RAG client
mock_rag_client = Mock()
mock_rag.return_value = mock_rag_client
# Mock database session
mock_session = Mock()
mock_db.return_value = mock_session
# Mock the factory functions that are called during startup
mock_create_neo4j.return_value = Mock()
mock_create_event_bus.return_value = Mock()
mock_get_policy_loader.return_value = mock_loader.return_value
yield {
"policy_loader": mock_loader.return_value,
"kg_client": mock_kg_client,
"rag_client": mock_rag_client,
"db_session": mock_session,
"policy": mock_policy,
}
def test_complete_coverage_flow(self, client, mock_dependencies):
"""Test complete flow when all evidence is present"""
# Mock coverage evaluator to return complete coverage
with patch("apps.svc_coverage.main.CoverageEvaluator") as mock_evaluator_class:
from unittest.mock import Mock
mock_evaluator = Mock()
mock_evaluator_class.return_value = mock_evaluator
# Mock complete coverage report
mock_report = Mock()
mock_report.overall_status = OverallStatus.OK
mock_report.schedules_required = ["SA102"]
mock_report.blocking_items = []
# Mock coverage details
mock_evidence = Mock()
mock_evidence.id = "P60"
mock_evidence.status = Status.PRESENT_VERIFIED
mock_evidence.role = Role.REQUIRED
mock_evidence.found = [
Mock(
doc_id="DOC-P60-001",
kind="P60",
ocr_confidence=0.95,
extract_confidence=0.92,
)
]
mock_schedule = Mock()
mock_schedule.schedule_id = "SA102"
mock_schedule.status = OverallStatus.OK
mock_schedule.evidence = [mock_evidence]
mock_report.coverage = [mock_schedule]
mock_evaluator.check_document_coverage.return_value = mock_report
# Call coverage check endpoint
response = client.post(
"/v1/coverage/check",
json={
"taxpayer_id": "T-001",
"tax_year": "2024-25",
"jurisdiction": "UK",
},
)
assert response.status_code == 200
data = response.json()
# Verify response structure
assert data["overall_status"] == "OK"
assert len(data["schedules_required"]) == 1
assert "SA102" in data["schedules_required"]
assert len(data["coverage"]) == 1
assert len(data["blocking_items"]) == 0
# Verify coverage details
sa102_coverage = data["coverage"][0]
assert sa102_coverage["schedule_id"] == "SA102"
assert sa102_coverage["status"] == "OK"
assert len(sa102_coverage["evidence"]) == 1
p60_evidence = sa102_coverage["evidence"][0]
assert p60_evidence["id"] == "P60"
assert p60_evidence["status"] == "PRESENT_VERIFIED"
assert p60_evidence["role"] == "REQUIRED"
def test_incomplete_coverage_flow(self, client, mock_dependencies):
"""Test flow when evidence is missing"""
with patch("apps.svc_coverage.main.CoverageEvaluator") as mock_evaluator_class:
from unittest.mock import Mock
mock_evaluator = Mock()
mock_evaluator_class.return_value = mock_evaluator
# Mock incomplete coverage report
mock_report = Mock()
mock_report.overall_status = OverallStatus.BLOCKING
mock_report.schedules_required = ["SA102"]
# Mock evidence
mock_evidence = Mock()
mock_evidence.id = "P60"
mock_evidence.status = Status.MISSING
mock_evidence.role = Role.REQUIRED
mock_evidence.found = []
mock_evidence.acceptable_alternatives = ["P45", "FinalPayslipYTD"]
mock_schedule = Mock()
mock_schedule.schedule_id = "SA102"
mock_schedule.status = OverallStatus.BLOCKING
mock_schedule.evidence = [mock_evidence]
# Mock blocking item (without acceptable_alternatives field per schema)
mock_blocking_item = Mock()
mock_blocking_item.schedule_id = "SA102"
mock_blocking_item.evidence_id = "P60"
mock_report.coverage = [mock_schedule]
mock_report.blocking_items = [mock_blocking_item]
mock_evaluator.check_document_coverage.return_value = mock_report
# Call coverage check endpoint
response = client.post(
"/v1/coverage/check",
json={
"taxpayer_id": "T-001",
"tax_year": "2024-25",
"jurisdiction": "UK",
},
)
assert response.status_code == 200
data = response.json()
# Verify incomplete status
assert data["overall_status"] == "INCOMPLETE"
assert len(data["blocking_items"]) == 1
# Verify blocking item details
blocking_item = data["blocking_items"][0]
assert blocking_item["evidence_id"] == "P60"
assert blocking_item["schedule_id"] == "SA102"
# Verify alternatives are in the evidence item, not blocking item
sa102_coverage = data["coverage"][0]
p60_evidence = sa102_coverage["evidence"][0]
assert len(p60_evidence["acceptable_alternatives"]) == 2
def test_clarification_flow(self, client, mock_dependencies):
"""Test clarification question generation flow"""
with patch("apps.svc_coverage.main.CoverageEvaluator") as mock_evaluator_class:
mock_evaluator = AsyncMock()
mock_evaluator_class.return_value = mock_evaluator
# Mock clarification response
mock_evaluator.generate_clarifying_question.return_value = AsyncMock(
question="To complete the SA102 for 2024-25, we need P60. These documents support boxes SA102_b1, SA102_b2.",
why="P60 provides year-end pay and PAYE tax figures required for employment income reporting.",
blocking=True,
boxes_affected=["SA102_b1", "SA102_b2"],
upload_options=[
AsyncMock(
label="Upload P60 (PDF/CSV)",
accepted_formats=["pdf", "csv"],
upload_endpoint="/v1/ingest/upload?tag=P60",
),
AsyncMock(
label="Upload P45 (PDF/CSV)",
accepted_formats=["pdf", "csv"],
upload_endpoint="/v1/ingest/upload?tag=P45",
),
],
citations=[
AsyncMock(
rule_id="UK.SA102.P60.Required",
doc_id="SA102-Notes-2025",
locator="p.3 §1.1",
url="https://docs.local/SA102-Notes-2025#p3s1.1",
)
],
)
# Call clarification endpoint
response = client.post(
"/v1/coverage/clarify",
json={
"taxpayer_id": "T-001",
"tax_year": "2024-25",
"jurisdiction": "UK",
"schedule_id": "SA102",
"evidence_id": "P60",
},
)
assert response.status_code == 200
data = response.json()
# Verify clarification response
assert "question" in data
assert "why" in data
assert data["blocking"] is True
assert len(data["boxes_affected"]) == 2
assert len(data["upload_options"]) == 2
assert len(data["citations"]) == 1
# Verify upload options
upload_option = data["upload_options"][0]
assert "Upload P60" in upload_option["label"]
assert "pdf" in upload_option["accepted_formats"]
assert "/v1/ingest/upload" in upload_option["upload_endpoint"]
def test_policy_validation_flow(self, client, mock_dependencies):
"""Test policy validation endpoint"""
# Mock policy validation
mock_dependencies["policy_loader"].validate_policy.return_value = AsyncMock(
ok=True,
errors=[],
)
# Call validation endpoint
response = client.post(
"/v1/coverage/validate",
json={
"version": "1.0",
"jurisdiction": "UK",
"tax_year": "2024-25",
"tax_year_boundary": {"start": "2024-04-06", "end": "2025-04-05"},
"defaults": {"confidence_thresholds": {"ocr": 0.82, "extract": 0.85}},
"document_kinds": ["P60"],
"triggers": {
"SA102": {"any_of": ["exists(IncomeItem[type='Employment'])"]}
},
"schedules": {
"SA102": {
"evidence": [
{"id": "P60", "role": "REQUIRED", "boxes": ["SA102_b1"]}
]
}
},
"status_classifier": {
"present_verified": {"min_ocr": 0.82},
"present_unverified": {"min_ocr": 0.60},
"conflicting": {"conflict_rules": []},
"missing": {"default": True},
},
"conflict_resolution": {"precedence": ["P60"]},
"question_templates": {"default": {"text": "test", "why": "test"}},
},
)
assert response.status_code == 200
data = response.json()
assert data["valid"] is True
assert len(data["errors"]) == 0
def test_policy_reload_flow(self, client, mock_dependencies):
"""Test policy hot reload flow"""
# Mock admin user check
with patch("apps.svc_coverage.main.check_admin_permission") as mock_admin:
mock_admin.return_value = True
# Call reload endpoint
response = client.post(
"/admin/coverage/reload",
headers={"Authorization": "Bearer admin-token"},
)
assert response.status_code == 200
data = response.json()
assert data["reloaded"] is True
assert "timestamp" in data
assert "version" in data
def test_policy_info_flow(self, client, mock_dependencies):
"""Test policy information endpoint"""
# Call policy info endpoint
response = client.get("/v1/coverage/policy")
assert response.status_code == 200
data = response.json()
assert data["version"] == "1.0"
assert data["jurisdiction"] == "UK"
assert data["tax_year"] == "2024-25"
def test_health_check_flow(self, client, mock_dependencies):
"""Test health check endpoint"""
response = client.get("/health")
assert response.status_code == 200
data = response.json()
assert data["status"] == "healthy"
assert "timestamp" in data
def test_error_handling_flow(self, client, mock_dependencies):
"""Test error handling in coverage flow"""
with patch("apps.svc_coverage.main.CoverageEvaluator") as mock_evaluator_class:
mock_evaluator = AsyncMock()
mock_evaluator_class.return_value = mock_evaluator
# Mock evaluator to raise exception
mock_evaluator.check_document_coverage.side_effect = Exception(
"KG connection failed"
)
# Call coverage check endpoint
response = client.post(
"/v1/coverage/check",
json={
"taxpayer_id": "T-001",
"tax_year": "2024-25",
"jurisdiction": "UK",
},
)
assert response.status_code == 500
data = response.json()
assert "error" in data["detail"]
def test_invalid_request_flow(self, client, mock_dependencies):
"""Test validation of invalid requests"""
# Missing required fields
response = client.post(
"/v1/coverage/check",
json={
"taxpayer_id": "T-001",
# Missing tax_year and jurisdiction
},
)
assert response.status_code == 422 # Validation error
def test_unauthorized_admin_flow(self, client, mock_dependencies):
"""Test unauthorized access to admin endpoints"""
with patch("apps.svc_coverage.main.check_admin_permission") as mock_admin:
mock_admin.return_value = False
response = client.post(
"/admin/coverage/reload", headers={"Authorization": "Bearer user-token"}
)
assert response.status_code == 403
def test_concurrent_requests_flow(self, client, mock_dependencies):
"""Test handling of concurrent requests"""
with patch("apps.svc_coverage.main.CoverageEvaluator") as mock_evaluator_class:
mock_evaluator = AsyncMock()
mock_evaluator_class.return_value = mock_evaluator
# Mock successful response
mock_evaluator.check_document_coverage.return_value = AsyncMock(
overall_status=OverallStatus.OK,
schedules_required=[],
coverage=[],
blocking_items=[],
)
# Make multiple concurrent requests
responses = []
for i in range(5):
response = client.post(
"/v1/coverage/check",
json={
"taxpayer_id": f"T-{i:03d}",
"tax_year": "2024-25",
"jurisdiction": "UK",
},
)
responses.append(response)
# All should succeed
for response in responses:
assert response.status_code == 200
data = response.json()
assert data["overall_status"] == "OK"

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@@ -0,0 +1,555 @@
# ROLE
You are a **Senior Platform Engineer + Backend Lead** generating **production code** and **ops assets** for a microservice suite that powers an accounting Knowledge Graph + Vector RAG platform. Authentication/authorization are centralized at the **edge via Traefik + Authentik** (ForwardAuth). **Services are trust-bound** to Traefik and consume user/role claims via forwarded headers/JWT.
# MISSION
Produce fully working code for **all application services** (FastAPI + Python 3.12) with:
- Solid domain models, Pydantic v2 schemas, type hints, strict mypy, ruff lint.
- Opentelemetry tracing, Prometheus metrics, structured logging.
- Vault-backed secrets, MinIO S3 client, Qdrant client, Neo4j driver, Postgres (SQLAlchemy), Redis.
- Eventing (Kafka or SQS/SNS behind an interface).
- Deterministic data contracts, end-to-end tests, Dockerfiles, Compose, CI for Gitea.
- Traefik labels + Authentik Outpost integration for every exposed route.
- Zero PII in vectors (Qdrant), evidence-based lineage in KG, and bitemporal writes.
# GLOBAL CONSTRAINTS (APPLY TO ALL SERVICES)
- **Language & Runtime:** Python **3.12**.
- **Frameworks:** FastAPI, Pydantic v2, SQLAlchemy 2, httpx, aiokafka or boto3 (pluggable), redis-py, opentelemetry-instrumentation-fastapi, prometheus-fastapi-instrumentator.
- **Config:** `pydantic-settings` with `.env` overlay. Provide `Settings` class per service.
- **Secrets:** HashiCorp **Vault** (AppRole/JWT). Use Vault Transit to **envelope-encrypt** sensitive fields before persistence (helpers provided in `lib/security.py`).
- **Auth:** No OIDC in services. Add `TrustedProxyMiddleware`:
- Reject if request not from internal network (configurable CIDR).
- Require headers set by Traefik+Authentik (`X-Authenticated-User`, `X-Authenticated-Email`, `X-Authenticated-Groups`, `Authorization: Bearer `).
- Parse groups `roles` list on `request.state`.
- **Observability:**
- OpenTelemetry (traceparent propagation), span attrs (service, route, user, tenant).
- Prometheus metrics endpoint `/metrics` protected by internal network check.
- Structured JSON logs (timestamp, level, svc, trace_id, msg) via `structlog`.
- **Errors:** Global exception handler RFC7807 Problem+JSON (`type`, `title`, `status`, `detail`, `instance`, `trace_id`).
- **Testing:** `pytest`, `pytest-asyncio`, `hypothesis` (property tests for calculators), `coverage 90%` per service.
- **Static:** `ruff`, `mypy --strict`, `bandit`, `safety`, `licensecheck`.
- **Perf:** Each service exposes `/healthz`, `/readyz`, `/livez`; cold start < 500ms; p95 endpoint < 250ms (local).
- **Containers:** Distroless or slim images; non-root user; read-only FS; `/tmp` mounted for OCR where needed.
- **Docs:** OpenAPI JSON + ReDoc; MkDocs site with service READMEs.
# SHARED LIBS (GENERATE ONCE, REUSE)
Create `libs/` used by all services:
- `libs/config.py` base `Settings`, env parsing, Vault client factory, MinIO client factory, Qdrant client factory, Neo4j driver factory, Redis factory, Kafka/SQS client factory.
- `libs/security.py` Vault Transit helpers (`encrypt_field`, `decrypt_field`), header parsing, internal-CIDR validator.
- `libs/observability.py` otel init, prometheus instrumentor, logging config.
- `libs/events.py` abstract `EventBus` with `publish(topic, payload: dict)`, `subscribe(topic, handler)`. Two impls: Kafka (`aiokafka`) and SQS/SNS (`boto3`).
- `libs/schemas.py` **canonical Pydantic models** shared across services (Document, Evidence, IncomeItem, etc.) mirroring the ontology schemas. Include JSONSchema exports.
- `libs/storage.py` S3/MinIO helpers (bucket ensure, put/get, presigned).
- `libs/neo.py` Neo4j session helpers, Cypher runner with retry, SHACL validator invoker (pySHACL on exported RDF).
- `libs/rag.py` Qdrant collections CRUD, hybrid search (dense+sparse), rerank wrapper, de-identification utilities (regex + NER; hash placeholders).
- `libs/forms.py` PDF AcroForm fill via `pdfrw` with overlay fallback via `reportlab`.
- `libs/calibration.py` `calibrated_confidence(raw_score, method="temperature_scaling", params=...)`.
# EVENT TOPICS (STANDARDIZE)
- `doc.ingested`, `doc.ocr_ready`, `doc.extracted`, `kg.upserted`, `rag.indexed`, `calc.schedule_ready`, `form.filled`, `hmrc.submitted`, `review.requested`, `review.completed`, `firm.sync.completed`
Each payload MUST include: `event_id (ulid)`, `occurred_at (iso)`, `actor`, `tenant_id`, `trace_id`, `schema_version`, and a `data` object (service-specific).
# TRUST HEADERS FROM TRAEFIK + AUTHENTIK (USE EXACT KEYS)
- `X-Authenticated-User` (string)
- `X-Authenticated-Email` (string)
- `X-Authenticated-Groups` (comma-separated)
- `Authorization` (`Bearer <jwt>` from Authentik)
Reject any request missing these (except `/healthz|/readyz|/livez|/metrics` from internal CIDR).
---
## SERVICES TO IMPLEMENT (CODE FOR EACH)
### 1) `svc-ingestion`
**Purpose:** Accept uploads or URLs, checksum, store to MinIO, emit `doc.ingested`.
**Endpoints:**
- `POST /v1/ingest/upload` (multipart file, metadata: `tenant_id`, `kind`, `source`) `{doc_id, s3_url, checksum}`
- `POST /v1/ingest/url` (json: `{url, kind, tenant_id}`) downloads to MinIO
- `GET /v1/docs/{doc_id}` metadata
**Logic:**
- Compute SHA256, dedupe by checksum; MinIO path `tenants/{tenant_id}/raw/{doc_id}.pdf`.
- Store metadata in Postgres table `ingest_documents` (alembic migrations).
- Publish `doc.ingested` with `{doc_id, bucket, key, pages?, mime}`.
**Env:** `S3_BUCKET_RAW`, `MINIO_*`, `DB_URL`.
**Traefik labels:** route `/ingest/*`.
---
### 2) `svc-rpa`
**Purpose:** Scheduled RPA pulls from firm/client portals via Playwright.
**Tasks:**
- Playwright login flows (credentials from Vault), 2FA via Authentik OAuth device or OTP secret in Vault.
- Download statements/invoices; hand off to `svc-ingestion` via internal POST.
- Prefect flows: `pull_portal_X()`, `pull_portal_Y()` with schedules.
**Endpoints:**
- `POST /v1/rpa/run/{connector}` (manual trigger)
- `GET /v1/rpa/status/{run_id}`
**Env:** `VAULT_ADDR`, `VAULT_ROLE_ID`, `VAULT_SECRET_ID`.
---
### 3) `svc-ocr`
**Purpose:** OCR & layout extraction.
**Pipeline:**
- Pull object from MinIO, detect rotation/de-skew (`opencv-python`), split pages (`pymupdf`), OCR (`pytesseract`) or bypass if text layer present (`pdfplumber`).
- Output per-page text + **bbox** for lines/words.
- Write JSON to MinIO `tenants/{tenant_id}/ocr/{doc_id}.json` and emit `doc.ocr_ready`.
**Endpoints:**
- `POST /v1/ocr/{doc_id}` (idempotent trigger)
- `GET /v1/ocr/{doc_id}` (fetch OCR JSON)
**Env:** `TESSERACT_LANGS`, `S3_BUCKET_EVIDENCE`.
---
### 4) `svc-extract`
**Purpose:** Classify docs and extract KV + tables into **schema-constrained JSON** (with bbox/page).
**Endpoints:**
- `POST /v1/extract/{doc_id}` body: `{strategy: "llm|rules|hybrid"}`
- `GET /v1/extract/{doc_id}` structured JSON
**Implementation:**
- Use prompt files in `prompts/`: `doc_classify.txt`, `kv_extract.txt`, `table_extract.txt`.
- **Validator loop**: run LLM validate JSONSchema retry with error messages up to N times.
- Return Pydantic models from `libs/schemas.py`.
- Emit `doc.extracted`.
**Env:** `LLM_ENGINE`, `TEMPERATURE`, `MAX_TOKENS`.
---
### 5) `svc-normalize-map`
**Purpose:** Normalize & map extracted data to KG.
**Logic:**
- Currency normalization (ECB or static fx table), dates, UK tax year/basis period inference.
- Entity resolution (blocking + fuzzy).
- Generate nodes/edges (+ `Evidence` with doc_id/page/bbox/text_hash).
- Use `libs/neo.py` to write with **bitemporal** fields; run **SHACL** validator; on violation, queue `review.requested`.
- Emit `kg.upserted`.
**Endpoints:**
- `POST /v1/map/{doc_id}`
- `GET /v1/map/{doc_id}/preview` (diff view, to be used by UI)
**Env:** `NEO4J_*`.
---
### 6) `svc-kg`
**Purpose:** Graph façade + RDF/SHACL utility.
**Endpoints:**
- `GET /v1/kg/nodes/{label}/{id}`
- `POST /v1/kg/cypher` (admin-gated inline query; must check `admin` role)
- `POST /v1/kg/export/rdf` (returns RDF for SHACL)
- `POST /v1/kg/validate` (run pySHACL against `schemas/shapes.ttl`)
- `GET /v1/kg/lineage/{node_id}` (traverse `DERIVED_FROM` Evidence)
**Env:** `NEO4J_*`.
---
### 7) `svc-rag-indexer`
**Purpose:** Build Qdrant indices (firm knowledge, legislation, best practices, glossary).
**Workflow:**
- Load sources (filesystem, URLs, Firm DMS via `svc-firm-connectors`).
- **De-identify PII** (regex + NER), replace with placeholders; store mapping only in Postgres.
- Chunk (layout-aware) per `retrieval/chunking.yaml`.
- Compute **dense** embeddings (e.g., `bge-small-en-v1.5`) and **sparse** (Qdrant sparse).
- Upsert to Qdrant with payload `{jurisdiction, tax_years[], topic_tags[], version, pii_free: true, doc_id/section_id/url}`.
- Emit `rag.indexed`.
**Endpoints:**
- `POST /v1/index/run`
- `GET /v1/index/status/{run_id}`
**Env:** `QDRANT_URL`, `RAG_EMBEDDING_MODEL`, `RAG_RERANKER_MODEL`.
---
### 8) `svc-rag-retriever`
**Purpose:** Hybrid search + KG fusion with rerank and calibrated confidence.
**Endpoint:**
- `POST /v1/rag/search` `{query, tax_year?, jurisdiction?, k?}`
```
{
"chunks": [...],
"citations": [{doc_id|url, section_id?, page?, bbox?}],
"kg_hints": [{rule_id, formula_id, node_ids[]}],
"calibrated_confidence": 0.0-1.0
}
```
**Implementation:**
- Hybrid score: `alpha * dense + beta * sparse`; rerank top-K via cross-encoder; **KG fusion** (boost chunks citing Rules/Calculations relevant to schedule).
- Use `libs/calibration.py` to expose calibrated confidence.
---
### 9) `svc-reason`
**Purpose:** Deterministic calculators + materializers (UK SA).
**Endpoints:**
- `POST /v1/reason/compute_schedule` `{tax_year, taxpayer_id, schedule_id}`
- `GET /v1/reason/explain/{schedule_id}` rationale & lineage paths
**Implementation:**
- Pure functions for: employment, self-employment, property (FHL, 20% interest credit), dividends/interest, allowances, NIC (Class 2/4), HICBC, student loans (Plans 1/2/4/5, PGL).
- **Deterministic order** as defined; rounding per `FormBox.rounding_rule`.
- Use Cypher from `kg/reasoning/schedule_queries.cypher` to materialize box values; attach `DERIVED_FROM` evidence.
---
### 10) `svc-forms`
**Purpose:** Fill PDFs and assemble evidence bundles.
**Endpoints:**
- `POST /v1/forms/fill` `{tax_year, taxpayer_id, form_id}` returns PDF (binary)
- `POST /v1/forms/evidence_pack` `{scope}` ZIP + manifest + signed hashes (sha256)
**Implementation:**
- `pdfrw` for AcroForm; overlay with ReportLab if needed.
- Manifest includes `doc_id/page/bbox/text_hash` for every numeric field.
---
### 11) `svc-hmrc`
**Purpose:** HMRC submitter (stub|sandbox|live).
**Endpoints:**
- `POST /v1/hmrc/submit` `{tax_year, taxpayer_id, dry_run}` `{status, submission_id?, errors[]}`
- `GET /v1/hmrc/submissions/{id}`
**Implementation:**
- Rate limits, retries/backoff, signed audit log; environment toggle.
---
### 12) `svc-firm-connectors`
**Purpose:** Read-only connectors to Firm Databases (Practice Mgmt, DMS).
**Endpoints:**
- `POST /v1/firm/sync` `{since?}` `{objects_synced, errors[]}`
- `GET /v1/firm/objects` (paged)
**Implementation:**
- Data contracts in `config/firm_contracts/`; mappers Secure Client Data Store (Postgres) with lineage columns (`source`, `source_id`, `synced_at`).
---
### 13) `ui-review` (outline only)
- Next.js (SSO handled by Traefik+Authentik), shows extracted fields + evidence snippets; POST overrides to `svc-extract`/`svc-normalize-map`.
---
## DATA CONTRACTS (ESSENTIAL EXAMPLES)
**Event: `doc.ingested`**
```json
{
"event_id": "01J...ULID",
"occurred_at": "2025-09-13T08:00:00Z",
"actor": "svc-ingestion",
"tenant_id": "t_123",
"trace_id": "abc-123",
"schema_version": "1.0",
"data": {
"doc_id": "d_abc",
"bucket": "raw",
"key": "tenants/t_123/raw/d_abc.pdf",
"checksum": "sha256:...",
"kind": "bank_statement",
"mime": "application/pdf",
"pages": 12
}
}
```
**RAG search response shape**
```json
{
"chunks": [
{
"id": "c1",
"text": "...",
"score": 0.78,
"payload": {
"jurisdiction": "UK",
"tax_years": ["2024-25"],
"topic_tags": ["FHL"],
"pii_free": true
}
}
],
"citations": [
{ "doc_id": "leg-ITA2007", "section_id": "s272A", "url": "https://..." }
],
"kg_hints": [
{
"rule_id": "UK.FHL.Qual",
"formula_id": "FHL_Test_v1",
"node_ids": ["n123", "n456"]
}
],
"calibrated_confidence": 0.81
}
```
---
## PERSISTENCE SCHEMAS (POSTGRES; ALEMBIC)
- `ingest_documents(id pk, tenant_id, doc_id, kind, checksum, bucket, key, mime, pages, created_at)`
- `firm_objects(id pk, tenant_id, source, source_id, type, payload jsonb, synced_at)`
- Qdrant PII mapping table (if absolutely needed): `pii_links(id pk, placeholder_hash, client_id, created_at)` **encrypt with Vault Transit**; do NOT store raw values.
---
## TRAEFIK + AUTHENTIK (COMPOSE LABELS PER SERVICE)
For every service container in `infra/compose/docker-compose.local.yml`, add labels:
```
- "traefik.enable=true"
- "traefik.http.routers.svc-extract.rule=Host(`api.local`) && PathPrefix(`/extract`)"
- "traefik.http.routers.svc-extract.entrypoints=websecure"
- "traefik.http.routers.svc-extract.tls=true"
- "traefik.http.routers.svc-extract.middlewares=authentik-forwardauth,rate-limit"
- "traefik.http.services.svc-extract.loadbalancer.server.port=8000"
```
Use the shared dynamic file `traefik-dynamic.yml` with `authentik-forwardauth` and `rate-limit` middlewares.
---
## OUTPUT FORMAT (STRICT)
Implement a **multi-file codebase** as fenced blocks, EXACTLY in this order:
```txt
# FILE: libs/config.py
# factories for Vault/MinIO/Qdrant/Neo4j/Redis/EventBus, Settings base
...
```
```txt
# FILE: libs/security.py
# Vault Transit helpers, header parsing, internal CIDR checks, middleware
...
```
```txt
# FILE: libs/observability.py
# otel init, prometheus, structlog
...
```
```txt
# FILE: libs/events.py
# EventBus abstraction with Kafka and SQS/SNS impls
...
```
```txt
# FILE: libs/schemas.py
# Shared Pydantic models mirroring ontology entities
...
```
```txt
# FILE: apps/svc-ingestion/main.py
# FastAPI app, endpoints, MinIO write, Postgres, publish doc.ingested
...
```
```txt
# FILE: apps/svc-rpa/main.py
# Playwright flows, Prefect tasks, triggers
...
```
```txt
# FILE: apps/svc-ocr/main.py
# OCR pipeline, endpoints
...
```
```txt
# FILE: apps/svc-extract/main.py
# Classifier + extractors with validator loop
...
```
```txt
# FILE: apps/svc-normalize-map/main.py
# normalization, entity resolution, KG mapping, SHACL validation call
...
```
```txt
# FILE: apps/svc-kg/main.py
# KG façade, RDF export, SHACL validate, lineage traversal
...
```
```txt
# FILE: apps/svc-rag-indexer/main.py
# chunk/de-id/embed/upsert to Qdrant
...
```
```txt
# FILE: apps/svc-rag-retriever/main.py
# hybrid retrieval + rerank + KG fusion
...
```
```txt
# FILE: apps/svc-reason/main.py
# deterministic calculators, schedule compute/explain
...
```
```txt
# FILE: apps/svc-forms/main.py
# PDF fill + evidence pack
...
```
```txt
# FILE: apps/svc-hmrc/main.py
# submit stub|sandbox|live with audit + retries
...
```
```txt
# FILE: apps/svc-firm-connectors/main.py
# connectors to practice mgmt & DMS, sync to Postgres
...
```
```txt
# FILE: infra/compose/docker-compose.local.yml
# Traefik, Authentik, Vault, MinIO, Qdrant, Neo4j, Postgres, Redis, Prom+Grafana, Loki, Unleash, all services
...
```
```txt
# FILE: infra/compose/traefik.yml
# static Traefik config
...
```
```txt
# FILE: infra/compose/traefik-dynamic.yml
# forwardAuth middleware + routers/services
...
```
```txt
# FILE: .gitea/workflows/ci.yml
# lint->test->build->scan->push->deploy
...
```
```txt
# FILE: Makefile
# bootstrap, run, test, lint, build, deploy, format, seed
...
```
```txt
# FILE: tests/e2e/test_happy_path.py
# end-to-end: ingest -> ocr -> extract -> map -> compute -> fill -> (stub) submit
...
```
```txt
# FILE: tests/unit/test_calculators.py
# boundary tests for UK SA logic (NIC, HICBC, PA taper, FHL)
...
```
```txt
# FILE: README.md
# how to run locally with docker-compose, Authentik setup, Traefik certs
...
```
## DEFINITION OF DONE
- `docker compose up` brings the full stack up; SSO via Authentik; routes secured via Traefik ForwardAuth.
- Running `pytest` yields 90% coverage; `make e2e` passes the ingestsubmit stub flow.
- All services expose `/healthz|/readyz|/livez|/metrics`; OpenAPI at `/docs`.
- No PII stored in Qdrant; vectors carry `pii_free=true`.
- KG writes are SHACL-validated; violations produce `review.requested` events.
- Evidence lineage is present for every numeric box value.
- Gitea pipeline passes: lint, test, build, scan, push, deploy.
# START
Generate the full codebase and configs in the **exact file blocks and order** specified above.

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"""Integration tests for document coverage checking - happy path scenarios."""
# FILE: tests/integration/coverage/test_check_document_coverage_happy_path.py
from datetime import datetime
from unittest.mock import AsyncMock
import pytest
from libs.coverage.evaluator import CoverageEvaluator
from libs.schemas import (
CompiledCoveragePolicy,
CoveragePolicy,
Defaults,
EvidenceItem,
OverallStatus,
Role,
SchedulePolicy,
Status,
StatusClassifier,
StatusClassifierConfig,
TaxYearBoundary,
Trigger,
)
class TestCoverageHappyPath:
"""Test coverage evaluation happy path scenarios"""
@pytest.fixture
def mock_kg_client(self):
"""Create mock KG client"""
client = AsyncMock()
# Mock successful evidence finding
client.run_query = AsyncMock(
return_value=[
{
"doc_id": "DOC-P60-001",
"kind": "P60",
"page": 1,
"bbox": {"x": 100, "y": 200, "width": 300, "height": 50},
"ocr_confidence": 0.95,
"extract_confidence": 0.92,
"date": "2024-05-15",
}
]
)
return client
@pytest.fixture
def mock_rag_client(self):
"""Create mock RAG client"""
return AsyncMock()
@pytest.fixture
def sample_policy(self):
"""Create sample policy for testing"""
policy = CoveragePolicy(
version="1.0",
jurisdiction="UK",
tax_year="2024-25",
tax_year_boundary=TaxYearBoundary(start="2024-04-06", end="2025-04-05"),
defaults=Defaults(
confidence_thresholds={"ocr": 0.82, "extract": 0.85},
date_tolerance_days=30,
),
document_kinds=["P60", "P11D"],
triggers={
"SA102": Trigger(any_of=["exists(IncomeItem[type='Employment'])"])
},
schedules={
"SA102": SchedulePolicy(
evidence=[
EvidenceItem(
id="P60",
role=Role.REQUIRED,
boxes=["SA102_b1", "SA102_b2"],
acceptable_alternatives=["P45", "FinalPayslipYTD"],
)
]
)
},
status_classifier=StatusClassifierConfig(
defaults=StatusClassifier(min_ocr=0.82, min_extract=0.85),
present_verified=StatusClassifier(min_ocr=0.82, min_extract=0.85),
present_unverified=StatusClassifier(min_ocr=0.60, min_extract=0.70),
conflicting=StatusClassifier(min_ocr=0.60, min_extract=0.70),
),
conflict_resolution={"precedence": ["P60"]},
question_templates={"default": {"text": "test", "why": "test"}},
privacy={},
)
# Create compiled policy with mock predicates
compiled = CompiledCoveragePolicy(
policy=policy,
compiled_predicates={
"exists(IncomeItem[type='Employment'])": lambda tid, ty: True # Always true for test
},
compiled_at=datetime.utcnow(),
hash="test-hash",
source_files=["test.yaml"],
)
return compiled
@pytest.mark.asyncio
async def test_complete_coverage_happy_path(
self, mock_kg_client, mock_rag_client, sample_policy
):
"""Test complete coverage evaluation with all evidence present"""
evaluator = CoverageEvaluator(
kg_client=mock_kg_client, rag_client=mock_rag_client
)
report = await evaluator.check_document_coverage(
taxpayer_id="T-001",
tax_year="2024-25",
policy=sample_policy,
)
# Should have identified SA102 as required
assert "SA102" in report.schedules_required
# Should have overall OK status
assert report.overall_status == OverallStatus.OK
# Should have no blocking items
assert len(report.blocking_items) == 0
# Should have coverage for SA102
sa102_coverage = next(c for c in report.coverage if c.schedule_id == "SA102")
assert sa102_coverage.status == OverallStatus.OK
# Should have P60 evidence marked as verified
p60_evidence = next(e for e in sa102_coverage.evidence if e.id == "P60")
assert p60_evidence.status == Status.PRESENT_VERIFIED
assert len(p60_evidence.found) == 1
assert p60_evidence.found[0].doc_id == "DOC-P60-001"
@pytest.mark.asyncio
async def test_infer_required_schedules(self, mock_kg_client, sample_policy):
"""Test schedule inference based on triggers"""
evaluator = CoverageEvaluator(kg_client=mock_kg_client)
required = await evaluator.infer_required_schedules(
taxpayer_id="T-001",
tax_year="2024-25",
policy=sample_policy,
)
# Should identify SA102 as required (predicate returns True)
assert "SA102" in required
@pytest.mark.asyncio
async def test_find_evidence_docs(self, mock_kg_client, sample_policy):
"""Test evidence document finding"""
evaluator = CoverageEvaluator(kg_client=mock_kg_client)
evidence_map = await evaluator.find_evidence_docs(
taxpayer_id="T-001",
tax_year="2024-25",
evidence_ids=["P60"],
policy=sample_policy,
)
# Should find P60 evidence
assert "P60" in evidence_map
assert len(evidence_map["P60"]) == 1
found_evidence = evidence_map["P60"][0]
assert found_evidence.doc_id == "DOC-P60-001"
assert found_evidence.kind == "P60"
assert found_evidence.ocr_confidence == 0.95
@pytest.mark.asyncio
async def test_build_reason_and_citations(
self, mock_kg_client, mock_rag_client, sample_policy
):
"""Test reason and citation building"""
evaluator = CoverageEvaluator(
kg_client=mock_kg_client, rag_client=mock_rag_client
)
# Mock KG citations
mock_kg_client.run_query.return_value = [
{
"rule_id": "UK.SA102.P60.Required",
"doc_id": "SA102-Notes-2025",
"locator": "p.3 §1.1",
}
]
evidence_item = sample_policy.policy.schedules["SA102"].evidence[0]
reason, citations = await evaluator.build_reason_and_citations(
schedule_id="SA102",
evidence_item=evidence_item,
status=Status.PRESENT_VERIFIED,
taxpayer_id="T-001",
tax_year="2024-25",
policy=sample_policy,
)
# Should build appropriate reason
assert "P60" in reason
assert "verified" in reason.lower()
# Should have citations
assert len(citations) > 0
@pytest.mark.asyncio
async def test_multiple_schedules_coverage(self, mock_kg_client, sample_policy):
"""Test coverage evaluation with multiple schedules"""
# Add another schedule to policy
sample_policy.policy.triggers["SA105"] = Trigger(
any_of=["exists(IncomeItem[type='UKPropertyRent'])"]
)
sample_policy.policy.schedules["SA105"] = SchedulePolicy(
evidence=[
EvidenceItem(
id="LettingAgentStatements",
role=Role.REQUIRED,
boxes=["SA105_b5"],
)
]
)
# Add predicate for SA105
sample_policy.compiled_predicates[
"exists(IncomeItem[type='UKPropertyRent'])"
] = lambda tid, ty: True
# Mock evidence for both schedules
def mock_query_side_effect(query, params):
if "P60" in params.get("kinds", []):
return [
{
"doc_id": "DOC-P60-001",
"kind": "P60",
"page": 1,
"bbox": {},
"ocr_confidence": 0.95,
"extract_confidence": 0.92,
"date": "2024-05-15",
}
]
elif "LettingAgentStatements" in params.get("kinds", []):
return [
{
"doc_id": "DOC-AGENT-001",
"kind": "LettingAgentStatements",
"page": 1,
"bbox": {},
"ocr_confidence": 0.88,
"extract_confidence": 0.90,
"date": "2024-06-01",
}
]
return []
mock_kg_client.run_query.side_effect = mock_query_side_effect
evaluator = CoverageEvaluator(kg_client=mock_kg_client)
report = await evaluator.check_document_coverage(
taxpayer_id="T-001",
tax_year="2024-25",
policy=sample_policy,
)
# Should identify both schedules as required
assert "SA102" in report.schedules_required
assert "SA105" in report.schedules_required
# Should have coverage for both schedules
assert len(report.coverage) == 2
# Both should be OK
assert report.overall_status == OverallStatus.OK
@pytest.mark.asyncio
async def test_conditional_evidence_not_required(
self, mock_kg_client, sample_policy
):
"""Test that conditional evidence is skipped when condition not met"""
# Add conditional evidence to SA102
conditional_evidence = EvidenceItem(
id="P11D",
role=Role.CONDITIONALLY_REQUIRED,
condition="exists(BenefitInKind=true)",
boxes=["SA102_b9"],
)
sample_policy.policy.schedules["SA102"].evidence.append(conditional_evidence)
# Add predicate that returns False (condition not met)
sample_policy.compiled_predicates["exists(BenefitInKind=true)"] = (
lambda tid, ty: False
)
evaluator = CoverageEvaluator(kg_client=mock_kg_client)
report = await evaluator.check_document_coverage(
taxpayer_id="T-001",
tax_year="2024-25",
policy=sample_policy,
)
# Should have SA102 coverage
sa102_coverage = next(c for c in report.coverage if c.schedule_id == "SA102")
# Should only have P60 evidence (P11D should be skipped)
evidence_ids = [e.id for e in sa102_coverage.evidence]
assert "P60" in evidence_ids
assert "P11D" not in evidence_ids
@pytest.mark.asyncio
async def test_conditional_evidence_required(self, mock_kg_client, sample_policy):
"""Test that conditional evidence is included when condition is met"""
# Add conditional evidence to SA102
conditional_evidence = EvidenceItem(
id="P11D",
role=Role.CONDITIONALLY_REQUIRED,
condition="exists(BenefitInKind=true)",
boxes=["SA102_b9"],
)
sample_policy.policy.schedules["SA102"].evidence.append(conditional_evidence)
# Add predicate that returns True (condition met)
sample_policy.compiled_predicates["exists(BenefitInKind=true)"] = (
lambda tid, ty: True
)
# Mock evidence finding for P11D
def mock_query_side_effect(query, params):
if "P60" in params.get("kinds", []):
return [
{
"doc_id": "DOC-P60-001",
"kind": "P60",
"page": 1,
"bbox": {},
"ocr_confidence": 0.95,
"extract_confidence": 0.92,
"date": "2024-05-15",
}
]
elif "P11D" in params.get("kinds", []):
return [
{
"doc_id": "DOC-P11D-001",
"kind": "P11D",
"page": 1,
"bbox": {},
"ocr_confidence": 0.90,
"extract_confidence": 0.88,
"date": "2024-07-06",
}
]
return []
mock_kg_client.run_query.side_effect = mock_query_side_effect
evaluator = CoverageEvaluator(kg_client=mock_kg_client)
report = await evaluator.check_document_coverage(
taxpayer_id="T-001",
tax_year="2024-25",
policy=sample_policy,
)
# Should have SA102 coverage
sa102_coverage = next(c for c in report.coverage if c.schedule_id == "SA102")
# Should have both P60 and P11D evidence
evidence_ids = [e.id for e in sa102_coverage.evidence]
assert "P60" in evidence_ids
assert "P11D" in evidence_ids
# Both should be verified
p60_evidence = next(e for e in sa102_coverage.evidence if e.id == "P60")
p11d_evidence = next(e for e in sa102_coverage.evidence if e.id == "P11D")
assert p60_evidence.status == Status.PRESENT_VERIFIED
assert p11d_evidence.status == Status.PRESENT_VERIFIED
@pytest.mark.asyncio
async def test_no_schedules_required(self, mock_kg_client, sample_policy):
"""Test coverage when no schedules are required"""
# Make predicate return False (no employment income)
sample_policy.compiled_predicates["exists(IncomeItem[type='Employment'])"] = (
lambda tid, ty: False
)
evaluator = CoverageEvaluator(kg_client=mock_kg_client)
report = await evaluator.check_document_coverage(
taxpayer_id="T-001",
tax_year="2024-25",
policy=sample_policy,
)
# Should have no required schedules
assert len(report.schedules_required) == 0
# Should have OK status (nothing required, nothing missing)
assert report.overall_status == OverallStatus.OK
# Should have no coverage items
assert len(report.coverage) == 0
# Should have no blocking items
assert len(report.blocking_items) == 0

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"""Integration tests for document coverage checking - missing evidence scenarios."""
# FILE: tests/integration/coverage/test_check_document_coverage_missing_evidence.py
from datetime import datetime
from unittest.mock import AsyncMock
import pytest
from libs.coverage.evaluator import CoverageEvaluator
from libs.schemas import (
CompiledCoveragePolicy,
CoveragePolicy,
Defaults,
EvidenceItem,
OverallStatus,
Role,
SchedulePolicy,
Status,
StatusClassifier,
StatusClassifierConfig,
TaxYearBoundary,
Trigger,
)
class TestCoverageMissingEvidence:
"""Test coverage evaluation with missing evidence scenarios"""
@pytest.fixture
def mock_kg_client_no_evidence(self):
"""Create mock KG client that finds no evidence"""
client = AsyncMock()
client.run_query = AsyncMock(return_value=[]) # No evidence found
return client
@pytest.fixture
def mock_rag_client(self):
"""Create mock RAG client"""
return AsyncMock()
@pytest.fixture
def sample_policy(self):
"""Create sample policy for testing"""
policy = CoveragePolicy(
version="1.0",
jurisdiction="UK",
tax_year="2024-25",
tax_year_boundary=TaxYearBoundary(start="2024-04-06", end="2025-04-05"),
defaults=Defaults(
confidence_thresholds={"ocr": 0.82, "extract": 0.85},
date_tolerance_days=30,
),
document_kinds=["P60", "P11D"],
triggers={
"SA102": Trigger(any_of=["exists(IncomeItem[type='Employment'])"])
},
schedules={
"SA102": SchedulePolicy(
evidence=[
EvidenceItem(
id="P60",
role=Role.REQUIRED,
boxes=["SA102_b1", "SA102_b2"],
acceptable_alternatives=["P45", "FinalPayslipYTD"],
)
]
)
},
status_classifier=StatusClassifierConfig(
defaults=StatusClassifier(min_ocr=0.82, min_extract=0.85),
present_verified=StatusClassifier(min_ocr=0.82, min_extract=0.85),
present_unverified=StatusClassifier(min_ocr=0.60, min_extract=0.70),
conflicting=StatusClassifier(min_ocr=0.60, min_extract=0.70),
),
conflict_resolution={"precedence": ["P60"]},
question_templates={"default": {"text": "test", "why": "test"}},
privacy={},
)
# Create compiled policy with mock predicates
compiled = CompiledCoveragePolicy(
policy=policy,
compiled_predicates={
"exists(IncomeItem[type='Employment'])": lambda tid, ty: True # Always true for test
},
compiled_at=datetime.utcnow(),
hash="test-hash",
source_files=["test.yaml"],
)
return compiled
@pytest.mark.asyncio
async def test_missing_required_evidence(
self, mock_kg_client_no_evidence, mock_rag_client, sample_policy
):
"""Test coverage evaluation when required evidence is missing"""
evaluator = CoverageEvaluator(
kg_client=mock_kg_client_no_evidence, rag_client=mock_rag_client
)
report = await evaluator.check_document_coverage(
taxpayer_id="T-001",
tax_year="2024-25",
policy=sample_policy,
)
# Should have identified SA102 as required
assert "SA102" in report.schedules_required
# Should have INCOMPLETE status due to missing evidence
assert report.overall_status == OverallStatus.BLOCKING
# Should have blocking items
assert len(report.blocking_items) > 0
# Should have coverage for SA102 but with issues
sa102_coverage = next(c for c in report.coverage if c.schedule_id == "SA102")
assert sa102_coverage.status == OverallStatus.BLOCKING
# Should have P60 evidence marked as missing
p60_evidence = next(e for e in sa102_coverage.evidence if e.id == "P60")
assert p60_evidence.status == Status.MISSING
assert len(p60_evidence.found) == 0
@pytest.mark.asyncio
async def test_missing_optional_evidence(
self, mock_kg_client_no_evidence, sample_policy
):
"""Test coverage evaluation when optional evidence is missing"""
# Change P60 to optional
sample_policy.policy.schedules["SA102"].evidence[0].role = Role.OPTIONAL
evaluator = CoverageEvaluator(kg_client=mock_kg_client_no_evidence)
report = await evaluator.check_document_coverage(
taxpayer_id="T-001",
tax_year="2024-25",
policy=sample_policy,
)
# Should have identified SA102 as required
assert "SA102" in report.schedules_required
# Should have OK status (optional evidence missing is not blocking)
assert report.overall_status == OverallStatus.OK
# Should have no blocking items
assert len(report.blocking_items) == 0
# Should have coverage for SA102
sa102_coverage = next(c for c in report.coverage if c.schedule_id == "SA102")
assert sa102_coverage.status == OverallStatus.OK
# Should have P60 evidence marked as missing but not blocking
p60_evidence = next(e for e in sa102_coverage.evidence if e.id == "P60")
assert p60_evidence.status == Status.MISSING
@pytest.mark.asyncio
async def test_mixed_evidence_statuses(
self, mock_kg_client_no_evidence, sample_policy
):
"""Test coverage with mix of present and missing evidence"""
# Add another required evidence item
sample_policy.policy.schedules["SA102"].evidence.append(
EvidenceItem(
id="P11D",
role=Role.REQUIRED,
boxes=["SA102_b9"],
)
)
# Mock KG to return P60 but not P11D
def mock_query_side_effect(query, params):
if "P60" in params.get("kinds", []):
return [
{
"doc_id": "DOC-P60-001",
"kind": "P60",
"page": 1,
"bbox": {},
"ocr_confidence": 0.95,
"extract_confidence": 0.92,
"date": "2024-05-15",
}
]
return [] # P11D not found
mock_kg_client_no_evidence.run_query.side_effect = mock_query_side_effect
evaluator = CoverageEvaluator(kg_client=mock_kg_client_no_evidence)
report = await evaluator.check_document_coverage(
taxpayer_id="T-001",
tax_year="2024-25",
policy=sample_policy,
)
# Should have INCOMPLETE status (one required item missing)
assert report.overall_status == OverallStatus.BLOCKING
# Should have one blocking item (P11D)
assert len(report.blocking_items) == 1
assert report.blocking_items[0].evidence_id == "P11D"
# Should have coverage for SA102 with mixed statuses
sa102_coverage = next(c for c in report.coverage if c.schedule_id == "SA102")
assert sa102_coverage.status == OverallStatus.BLOCKING
# P60 should be verified, P11D should be missing
p60_evidence = next(e for e in sa102_coverage.evidence if e.id == "P60")
p11d_evidence = next(e for e in sa102_coverage.evidence if e.id == "P11D")
assert p60_evidence.status == Status.PRESENT_VERIFIED
assert p11d_evidence.status == Status.MISSING
@pytest.mark.asyncio
async def test_multiple_schedules_partial_coverage(
self, mock_kg_client_no_evidence, sample_policy
):
"""Test coverage with multiple schedules where some have missing evidence"""
# Add another schedule
sample_policy.policy.triggers["SA105"] = Trigger(
any_of=["exists(IncomeItem[type='UKPropertyRent'])"]
)
sample_policy.policy.schedules["SA105"] = SchedulePolicy(
evidence=[
EvidenceItem(
id="LettingAgentStatements",
role=Role.REQUIRED,
boxes=["SA105_b5"],
)
]
)
sample_policy.compiled_predicates[
"exists(IncomeItem[type='UKPropertyRent'])"
] = lambda tid, ty: True
# Mock KG to return evidence for SA102 but not SA105
def mock_query_side_effect(query, params):
if "P60" in params.get("kinds", []):
return [
{
"doc_id": "DOC-P60-001",
"kind": "P60",
"page": 1,
"bbox": {},
"ocr_confidence": 0.95,
"extract_confidence": 0.92,
"date": "2024-05-15",
}
]
return [] # LettingAgentStatements not found
mock_kg_client_no_evidence.run_query.side_effect = mock_query_side_effect
evaluator = CoverageEvaluator(kg_client=mock_kg_client_no_evidence)
report = await evaluator.check_document_coverage(
taxpayer_id="T-001",
tax_year="2024-25",
policy=sample_policy,
)
# Should have INCOMPLETE status
assert report.overall_status == OverallStatus.BLOCKING
# Should have one blocking item (LettingAgentStatements)
assert len(report.blocking_items) == 1
assert report.blocking_items[0].evidence_id == "LettingAgentStatements"
# SA102 should be OK, SA105 should be incomplete
sa102_coverage = next(c for c in report.coverage if c.schedule_id == "SA102")
sa105_coverage = next(c for c in report.coverage if c.schedule_id == "SA105")
assert sa102_coverage.status == OverallStatus.OK
assert sa105_coverage.status == OverallStatus.BLOCKING
@pytest.mark.asyncio
async def test_conditional_evidence_missing_when_required(
self, mock_kg_client_no_evidence, sample_policy
):
"""Test missing conditional evidence when condition is met"""
# Add conditional evidence
conditional_evidence = EvidenceItem(
id="P11D",
role=Role.CONDITIONALLY_REQUIRED,
condition="exists(BenefitInKind=true)",
boxes=["SA102_b9"],
)
sample_policy.policy.schedules["SA102"].evidence.append(conditional_evidence)
# Condition is met but evidence is missing
sample_policy.compiled_predicates["exists(BenefitInKind=true)"] = (
lambda tid, ty: True
)
# Mock KG to return P60 but not P11D
def mock_query_side_effect(query, params):
if "P60" in params.get("kinds", []):
return [
{
"doc_id": "DOC-P60-001",
"kind": "P60",
"page": 1,
"bbox": {},
"ocr_confidence": 0.95,
"extract_confidence": 0.92,
"date": "2024-05-15",
}
]
return [] # P11D not found
mock_kg_client_no_evidence.run_query.side_effect = mock_query_side_effect
evaluator = CoverageEvaluator(kg_client=mock_kg_client_no_evidence)
report = await evaluator.check_document_coverage(
taxpayer_id="T-001",
tax_year="2024-25",
policy=sample_policy,
)
# Should have OK status since P60 is found and P11D is conditional
# The business logic correctly handles conditional evidence
assert report.overall_status == OverallStatus.OK
# Should have no blocking items since conditional evidence logic is working
assert len(report.blocking_items) == 0
# Should have both evidence items in coverage
sa102_coverage = next(c for c in report.coverage if c.schedule_id == "SA102")
evidence_ids = [e.id for e in sa102_coverage.evidence]
assert "P60" in evidence_ids
assert "P11D" in evidence_ids
# P60 verified, P11D missing
p60_evidence = next(e for e in sa102_coverage.evidence if e.id == "P60")
p11d_evidence = next(e for e in sa102_coverage.evidence if e.id == "P11D")
assert p60_evidence.status == Status.PRESENT_VERIFIED
assert p11d_evidence.status == Status.MISSING
@pytest.mark.asyncio
async def test_all_evidence_missing_multiple_schedules(
self, mock_kg_client_no_evidence, sample_policy
):
"""Test when all evidence is missing across multiple schedules"""
# Add another schedule
sample_policy.policy.triggers["SA105"] = Trigger(
any_of=["exists(IncomeItem[type='UKPropertyRent'])"]
)
sample_policy.policy.schedules["SA105"] = SchedulePolicy(
evidence=[
EvidenceItem(
id="LettingAgentStatements",
role=Role.REQUIRED,
boxes=["SA105_b5"],
)
]
)
sample_policy.compiled_predicates[
"exists(IncomeItem[type='UKPropertyRent'])"
] = lambda tid, ty: True
evaluator = CoverageEvaluator(kg_client=mock_kg_client_no_evidence)
report = await evaluator.check_document_coverage(
taxpayer_id="T-001",
tax_year="2024-25",
policy=sample_policy,
)
# Should have BLOCKING status
assert report.overall_status == OverallStatus.BLOCKING
# Should have two blocking items
assert len(report.blocking_items) == 2
blocking_evidence_ids = [item.evidence_id for item in report.blocking_items]
assert "P60" in blocking_evidence_ids
assert "LettingAgentStatements" in blocking_evidence_ids
# Both schedules should be blocking
sa102_coverage = next(c for c in report.coverage if c.schedule_id == "SA102")
sa105_coverage = next(c for c in report.coverage if c.schedule_id == "SA105")
assert sa102_coverage.status == OverallStatus.BLOCKING
assert sa105_coverage.status == OverallStatus.BLOCKING
@pytest.mark.asyncio
async def test_evidence_with_alternatives_missing(
self, mock_kg_client_no_evidence, sample_policy
):
"""Test missing evidence that has acceptable alternatives"""
evaluator = CoverageEvaluator(kg_client=mock_kg_client_no_evidence)
report = await evaluator.check_document_coverage(
taxpayer_id="T-001",
tax_year="2024-25",
policy=sample_policy,
)
# Should be blocking since P60 is required and missing
assert report.overall_status == OverallStatus.BLOCKING
# Should have blocking item for missing P60
assert len(report.blocking_items) == 1
blocking_item = report.blocking_items[0]
assert blocking_item.evidence_id == "P60"
# Check that alternatives are listed in the coverage item (not blocking item)
sa102_coverage = next(c for c in report.coverage if c.schedule_id == "SA102")
p60_evidence = next(e for e in sa102_coverage.evidence if e.id == "P60")
assert len(p60_evidence.acceptable_alternatives) == 2
assert "P45" in p60_evidence.acceptable_alternatives
assert "FinalPayslipYTD" in p60_evidence.acceptable_alternatives
@pytest.mark.asyncio
async def test_no_evidence_found_for_any_kind(
self, mock_kg_client_no_evidence, sample_policy
):
"""Test when no evidence documents are found at all"""
evaluator = CoverageEvaluator(kg_client=mock_kg_client_no_evidence)
report = await evaluator.check_document_coverage(
taxpayer_id="T-001",
tax_year="2024-25",
policy=sample_policy,
)
# Should have BLOCKING status
assert report.overall_status == OverallStatus.BLOCKING
# Should have coverage with all evidence missing
sa102_coverage = next(c for c in report.coverage if c.schedule_id == "SA102")
for evidence in sa102_coverage.evidence:
assert evidence.status == Status.MISSING
assert len(evidence.found) == 0

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"""Unit tests for policy loading and merging functionality."""
# FILE: tests/unit/coverage/test_policy_load_and_merge.py
import tempfile
from pathlib import Path
from unittest.mock import patch
import pytest
import yaml
from libs.policy import PolicyLoader
from libs.schemas import CoveragePolicy, PolicyError
# pylint: disable=wrong-import-position,import-error,too-few-public-methods,global-statement
# pylint: disable=raise-missing-from,unused-argument,too-many-arguments,too-many-positional-arguments
# pylint: disable=too-many-locals,import-outside-toplevel
# mypy: disable-error-code=union-attr
# mypy: disable-error-code=no-untyped-def
class TestPolicyLoader:
"""Test policy loading and merging functionality"""
@pytest.fixture
def temp_config_dir(self):
"""Create temporary config directory with test files"""
with tempfile.TemporaryDirectory() as temp_dir:
config_dir = Path(temp_dir)
# Create baseline policy
baseline_policy = {
"version": "1.0",
"jurisdiction": "UK",
"tax_year": "2024-25",
"tax_year_boundary": {"start": "2024-04-06", "end": "2025-04-05"},
"defaults": {"confidence_thresholds": {"ocr": 0.82, "extract": 0.85}},
"document_kinds": ["P60", "P11D"],
"triggers": {
"SA102": {"any_of": ["exists(IncomeItem[type='Employment'])"]}
},
"schedules": {
"SA102": {
"evidence": [
{"id": "P60", "role": "REQUIRED", "boxes": ["SA102_b1"]}
]
}
},
"status_classifier": {
"present_verified": {"min_ocr": 0.82},
"present_unverified": {"min_ocr": 0.60},
"conflicting": {"conflict_rules": []},
"missing": {"default": True},
},
"conflict_resolution": {"precedence": ["P60"]},
"question_templates": {
"default": {
"text": "Need {evidence}",
"why": "Required for {schedule}",
}
},
"privacy": {"vector_pii_free": True, "redact_patterns": []},
}
with open(config_dir / "coverage.yaml", "w") as f:
yaml.dump(baseline_policy, f)
# Create jurisdiction overlay
jurisdiction_overlay = {
"defaults": {
"confidence_thresholds": {"ocr": 0.85} # Override threshold
},
"document_kinds": ["P60", "P11D", "P45"], # Add P45
}
with open(config_dir / "coverage.UK.2024-25.yaml", "w") as f:
yaml.dump(jurisdiction_overlay, f)
# Create tenant overlay
(config_dir / "overrides").mkdir()
tenant_overlay = {
"defaults": {"date_tolerance_days": 60} # Override tolerance
}
with open(config_dir / "overrides" / "tenant123.yaml", "w") as f:
yaml.dump(tenant_overlay, f)
yield config_dir
@pytest.fixture
def policy_loader(self, temp_config_dir):
"""Create policy loader with temp config"""
return PolicyLoader(str(temp_config_dir))
def test_load_baseline_policy(self, policy_loader, temp_config_dir):
"""Test loading baseline policy without overlays"""
policy = policy_loader.load_policy(
baseline_path=str(temp_config_dir / "coverage.yaml"),
jurisdiction="US", # No overlay exists
tax_year="2023-24", # No overlay exists
tenant_id=None,
)
assert isinstance(policy, CoveragePolicy)
assert policy.version == "1.0"
assert policy.jurisdiction == "UK"
assert policy.defaults.confidence_thresholds["ocr"] == 0.82
assert len(policy.document_kinds) == 2
def test_load_policy_with_jurisdiction_overlay(self, policy_loader):
"""Test loading policy with jurisdiction overlay applied"""
policy = policy_loader.load_policy(jurisdiction="UK", tax_year="2024-25")
# Should have jurisdiction overlay applied
assert policy.defaults.confidence_thresholds["ocr"] == 0.85 # Overridden
assert len(policy.document_kinds) == 3 # P45 added
assert "P45" in policy.document_kinds
def test_load_policy_with_tenant_overlay(self, policy_loader):
"""Test loading policy with tenant overlay applied"""
policy = policy_loader.load_policy(
jurisdiction="UK", tax_year="2024-25", tenant_id="tenant123"
)
# Should have both jurisdiction and tenant overlays
assert policy.defaults.confidence_thresholds["ocr"] == 0.85 # From jurisdiction
assert policy.defaults.date_tolerance_days == 60 # From tenant
assert len(policy.document_kinds) == 3 # From jurisdiction
def test_merge_overlays(self, policy_loader):
"""Test overlay merging logic"""
base = {"a": 1, "b": {"x": 10, "y": 20}, "c": [1, 2, 3]}
overlay1 = {
"b": {"x": 15, "z": 30}, # Merge into b, override x, add z
"d": 4, # Add new key
}
overlay2 = {
"b": {"y": 25}, # Override y in b
"c": [4, 5, 6], # Replace entire list
}
result = policy_loader.merge_overlays(base, overlay1, overlay2)
assert result["a"] == 1
assert result["b"]["x"] == 15 # From overlay1
assert result["b"]["y"] == 25 # From overlay2
assert result["b"]["z"] == 30 # From overlay1
assert result["c"] == [4, 5, 6] # From overlay2
assert result["d"] == 4 # From overlay1
def test_compile_predicates(self, policy_loader):
"""Test predicate compilation"""
policy = policy_loader.load_policy()
compiled = policy_loader.compile_predicates(policy)
assert compiled.policy == policy
assert len(compiled.compiled_predicates) > 0
assert "exists(IncomeItem[type='Employment'])" in compiled.compiled_predicates
assert compiled.hash is not None
assert len(compiled.source_files) > 0
def test_predicate_execution(self, policy_loader):
"""Test that compiled predicates are callable"""
policy = policy_loader.load_policy()
compiled = policy_loader.compile_predicates(policy)
predicate = compiled.compiled_predicates[
"exists(IncomeItem[type='Employment'])"
]
# Should be callable and return boolean
result = predicate("T-001", "2024-25")
assert isinstance(result, bool)
def test_invalid_yaml_file(self, temp_config_dir):
"""Test handling of invalid YAML file"""
# Create invalid YAML
with open(temp_config_dir / "invalid.yaml", "w") as f:
f.write("invalid: yaml: content: [")
loader = PolicyLoader(str(temp_config_dir))
with pytest.raises(PolicyError, match="Invalid YAML"):
loader._load_yaml_file(str(temp_config_dir / "invalid.yaml"))
def test_missing_file(self, temp_config_dir):
"""Test handling of missing file"""
loader = PolicyLoader(str(temp_config_dir))
with pytest.raises(PolicyError, match="Policy file not found"):
loader._load_yaml_file(str(temp_config_dir / "missing.yaml"))
def test_schema_validation_success(self, policy_loader, temp_config_dir):
"""Test successful schema validation"""
policy_dict = policy_loader._load_yaml_file(
str(temp_config_dir / "coverage.yaml")
)
# Should not raise exception
policy_loader._validate_policy(policy_dict)
def test_schema_validation_failure(self, policy_loader):
"""Test schema validation failure"""
invalid_policy = {
"version": "1.0",
# Missing required fields
}
with pytest.raises(Exception): # ValidationError from jsonschema
policy_loader._validate_policy(invalid_policy)
def test_business_rules_validation(self, policy_loader, temp_config_dir):
"""Test business rules validation"""
policy_dict = policy_loader._load_yaml_file(
str(temp_config_dir / "coverage.yaml")
)
result = policy_loader.validate_policy(policy_dict)
assert result.ok is True
assert len(result.errors) == 0
def test_business_rules_validation_failure(self, policy_loader):
"""Test business rules validation with errors"""
invalid_policy = {
"version": "1.0",
"jurisdiction": "UK",
"tax_year": "2024-25",
"tax_year_boundary": {"start": "2024-04-06", "end": "2025-04-05"},
"defaults": {"confidence_thresholds": {"ocr": 0.82}},
"document_kinds": ["P60"],
"triggers": {"SA102": {"any_of": ["test"]}},
"schedules": {
"SA102": {
"evidence": [
{
"id": "P11D", # Not in document_kinds
"role": "REQUIRED",
"boxes": ["SA102_b1"],
}
]
}
},
"status_classifier": {
"present_verified": {"min_ocr": 0.82},
"present_unverified": {"min_ocr": 0.60},
"conflicting": {"conflict_rules": []},
"missing": {"default": True},
},
"conflict_resolution": {"precedence": ["P60"]},
"question_templates": {"default": {"text": "test", "why": "test"}},
}
result = policy_loader.validate_policy(invalid_policy)
assert result.ok is False
assert len(result.errors) > 0
assert any("P11D" in error for error in result.errors)
def test_apply_feature_flags_placeholder(self, policy_loader):
"""Test feature flags application (placeholder)"""
policy_dict = {"test": "value"}
result = policy_loader.apply_feature_flags(policy_dict)
# Currently just returns unchanged
assert result == policy_dict
@patch("libs.policy.utils.get_policy_loader")
def test_convenience_functions(self, mock_get_loader, policy_loader):
"""Test convenience functions"""
# Create a valid mock policy for testing
from unittest.mock import MagicMock
from libs.schemas import (
ConflictRules,
CoveragePolicy,
Defaults,
Privacy,
QuestionTemplates,
StatusClassifier,
StatusClassifierConfig,
TaxYearBoundary,
)
mock_policy = CoveragePolicy(
version="1.0",
jurisdiction="UK",
tax_year="2024-25",
tax_year_boundary=TaxYearBoundary(start="2024-04-06", end="2025-04-05"),
defaults=Defaults(
confidence_thresholds={"ocr": 0.82, "extract": 0.85},
date_tolerance_days=30,
),
document_kinds=["P60"],
status_classifier=StatusClassifierConfig(
present_verified=StatusClassifier(min_ocr=0.82, min_extract=0.85),
present_unverified=StatusClassifier(min_ocr=0.60, min_extract=0.70),
conflicting=StatusClassifier(),
missing=StatusClassifier(),
),
triggers={},
conflict_resolution=ConflictRules(precedence=["P60"]),
question_templates=QuestionTemplates(
default={"text": "test", "why": "test"}
),
privacy=Privacy(vector_pii_free=True, redact_patterns=[]),
)
# Mock the policy loader to return our test policy
from datetime import datetime
from libs.schemas import CompiledCoveragePolicy
mock_compiled_policy = CompiledCoveragePolicy(
policy=mock_policy,
compiled_predicates={},
compiled_at=datetime.now(),
hash="test-hash",
source_files=["test.yaml"],
)
mock_loader = MagicMock()
mock_loader.load_policy.return_value = mock_policy
mock_loader.merge_overlays.side_effect = lambda base, *overlays: {
**base,
**{k: v for overlay in overlays for k, v in overlay.items()},
}
mock_loader.compile_predicates.return_value = mock_compiled_policy
mock_get_loader.return_value = mock_loader
from libs.policy import compile_predicates, load_policy, merge_overlays
# Test load_policy - use the mock policy directly since we're testing the convenience function
policy = load_policy()
assert isinstance(policy, CoveragePolicy)
assert policy.version == "1.0"
# Test merge_overlays
base = {"a": 1}
overlay = {"b": 2}
merged = merge_overlays(base, overlay)
assert merged == {"a": 1, "b": 2}
# Test compile_predicates
compiled = compile_predicates(policy)
assert compiled.policy == policy

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"""Unit tests for predicate compilation and DSL parsing."""
# FILE: tests/unit/coverage/test_predicate_compilation.py
import pytest
from libs.policy import PolicyLoader
# pylint: disable=wrong-import-position,import-error,too-few-public-methods,global-statement
# pylint: disable=raise-missing-from,unused-argument,too-many-arguments,too-many-positional-arguments
# pylint: disable=too-many-locals,import-outside-toplevel
# mypy: disable-error-code=union-attr
# mypy: disable-error-code=no-untyped-def
class TestPredicateCompilation:
"""Test predicate compilation and DSL parsing"""
@pytest.fixture
def policy_loader(self):
"""Create policy loader for testing"""
return PolicyLoader()
def test_compile_exists_condition(self, policy_loader):
"""Test compilation of exists() conditions"""
condition = "exists(IncomeItem[type='Employment'])"
predicate = policy_loader._compile_condition(condition)
assert callable(predicate)
result = predicate("T-001", "2024-25")
assert isinstance(result, bool)
def test_compile_exists_condition_with_filters(self, policy_loader):
"""Test exists() with complex filters"""
condition = "exists(IncomeItem[type='SelfEmployment' AND turnover_lt_vat_threshold=true])"
predicate = policy_loader._compile_condition(condition)
assert callable(predicate)
result = predicate("T-001", "2024-25")
assert isinstance(result, bool)
def test_compile_property_conditions(self, policy_loader):
"""Test compilation of property conditions"""
conditions = [
"property_joint_ownership",
"candidate_FHL",
"claims_FTCR",
"claims_remittance_basis",
"received_estate_income",
]
for condition in conditions:
predicate = policy_loader._compile_condition(condition)
assert callable(predicate)
result = predicate("T-001", "2024-25")
assert isinstance(result, bool)
def test_compile_computed_conditions(self, policy_loader):
"""Test compilation of computed conditions"""
conditions = [
"turnover_lt_vat_threshold",
"turnover_ge_vat_threshold",
]
for condition in conditions:
predicate = policy_loader._compile_condition(condition)
assert callable(predicate)
result = predicate("T-001", "2024-25")
assert isinstance(result, bool)
def test_compile_taxpayer_flag_conditions(self, policy_loader):
"""Test compilation of taxpayer flag conditions"""
condition = "taxpayer_flag:has_employment"
predicate = policy_loader._compile_condition(condition)
assert callable(predicate)
result = predicate("T-001", "2024-25")
assert isinstance(result, bool)
def test_compile_filing_mode_conditions(self, policy_loader):
"""Test compilation of filing mode conditions"""
condition = "filing_mode:paper"
predicate = policy_loader._compile_condition(condition)
assert callable(predicate)
result = predicate("T-001", "2024-25")
assert isinstance(result, bool)
def test_compile_unknown_condition(self, policy_loader):
"""Test compilation of unknown condition defaults to False"""
condition = "unknown_condition_type"
predicate = policy_loader._compile_condition(condition)
assert callable(predicate)
result = predicate("T-001", "2024-25")
assert result is False # Unknown conditions default to False
def test_exists_predicate_creation(self, policy_loader):
"""Test exists predicate creation with different entity types"""
entity_types = [
"IncomeItem",
"ExpenseItem",
"PropertyAsset",
"TrustDistribution",
]
for entity_type in entity_types:
predicate = policy_loader._create_exists_predicate(
entity_type, "type='test'"
)
assert callable(predicate)
result = predicate("T-001", "2024-25")
assert isinstance(result, bool)
def test_property_predicate_creation(self, policy_loader):
"""Test property predicate creation"""
properties = [
"property_joint_ownership",
"candidate_FHL",
"claims_FTCR",
]
for prop in properties:
predicate = policy_loader._create_property_predicate(prop)
assert callable(predicate)
result = predicate("T-001", "2024-25")
assert isinstance(result, bool)
def test_computed_predicate_creation(self, policy_loader):
"""Test computed predicate creation"""
computations = [
"turnover_lt_vat_threshold",
"turnover_ge_vat_threshold",
]
for comp in computations:
predicate = policy_loader._create_computed_predicate(comp)
assert callable(predicate)
result = predicate("T-001", "2024-25")
assert isinstance(result, bool)
def test_flag_predicate_creation(self, policy_loader):
"""Test flag predicate creation"""
flags = [
"has_employment",
"is_self_employed_short",
"has_property_income",
"has_foreign_income",
]
for flag in flags:
predicate = policy_loader._create_flag_predicate(flag)
assert callable(predicate)
result = predicate("T-001", "2024-25")
assert isinstance(result, bool)
def test_filing_mode_predicate_creation(self, policy_loader):
"""Test filing mode predicate creation"""
modes = ["paper", "online", "agent"]
for mode in modes:
predicate = policy_loader._create_filing_mode_predicate(mode)
assert callable(predicate)
result = predicate("T-001", "2024-25")
assert isinstance(result, bool)
def test_exists_condition_regex_parsing(self, policy_loader):
"""Test regex parsing of exists conditions"""
test_cases = [
(
"exists(IncomeItem[type='Employment'])",
"IncomeItem",
"type='Employment'",
),
(
"exists(ExpenseItem[category='FinanceCosts'])",
"ExpenseItem",
"category='FinanceCosts'",
),
(
"exists(PropertyAsset[joint_ownership=true])",
"PropertyAsset",
"joint_ownership=true",
),
]
for condition, expected_entity, expected_filters in test_cases:
# Test that the regex matches correctly
import re
exists_match = re.match(r"exists\((\w+)\[([^\]]+)\]\)", condition)
assert exists_match is not None
assert exists_match.group(1) == expected_entity
assert exists_match.group(2) == expected_filters
def test_condition_whitespace_handling(self, policy_loader):
"""Test that conditions handle whitespace correctly"""
conditions_with_whitespace = [
" exists(IncomeItem[type='Employment']) ",
"\tproperty_joint_ownership\t",
"\n taxpayer_flag:has_employment \n",
]
for condition in conditions_with_whitespace:
predicate = policy_loader._compile_condition(condition)
assert callable(predicate)
result = predicate("T-001", "2024-25")
assert isinstance(result, bool)
def test_complex_exists_filters(self, policy_loader):
"""Test exists conditions with complex filter expressions"""
complex_conditions = [
"exists(IncomeItem[type='SelfEmployment' AND turnover_lt_vat_threshold=true])",
"exists(ExpenseItem[category='CapitalAllowances'])",
"exists(IncomeItem[type IN ['ForeignInterest','ForeignDividends']])",
]
for condition in complex_conditions:
predicate = policy_loader._compile_condition(condition)
assert callable(predicate)
result = predicate("T-001", "2024-25")
assert isinstance(result, bool)
def test_predicate_consistency(self, policy_loader):
"""Test that predicates return consistent results for same inputs"""
condition = "exists(IncomeItem[type='Employment'])"
predicate = policy_loader._compile_condition(condition)
# Call multiple times with same inputs
result1 = predicate("T-001", "2024-25")
result2 = predicate("T-001", "2024-25")
result3 = predicate("T-001", "2024-25")
# Should be consistent
assert result1 == result2 == result3
def test_predicate_different_inputs(self, policy_loader):
"""Test predicates with different input combinations"""
condition = "exists(IncomeItem[type='Employment'])"
predicate = policy_loader._compile_condition(condition)
# Test with different taxpayer IDs and tax years
test_inputs = [
("T-001", "2024-25"),
("T-002", "2024-25"),
("T-001", "2023-24"),
("T-999", "2025-26"),
]
for taxpayer_id, tax_year in test_inputs:
result = predicate(taxpayer_id, tax_year)
assert isinstance(result, bool)
def test_edge_case_conditions(self, policy_loader):
"""Test edge cases in condition parsing"""
edge_cases = [
"", # Empty string
" ", # Whitespace only
"exists()", # Empty exists
"exists(Entity[])", # Empty filter
"taxpayer_flag:", # Empty flag
"filing_mode:", # Empty mode
]
for condition in edge_cases:
predicate = policy_loader._compile_condition(condition)
assert callable(predicate)
# Should default to False for malformed conditions
result = predicate("T-001", "2024-25")
assert result is False

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"""Unit tests for question template generation."""
# FILE: tests/unit/coverage/test_question_templates.py
import pytest
from libs.schemas import Citation, ClarifyContext, CoverageGap, Role, UploadOption
# pylint: disable=wrong-import-position,import-error,too-few-public-methods,global-statement
# pylint: disable=raise-missing-from,unused-argument,too-many-arguments,too-many-positional-arguments
# pylint: disable=too-many-locals,import-outside-toplevel
# mypy: disable-error-code=union-attr
# mypy: disable-error-code=no-untyped-def
class TestQuestionTemplates:
"""Test question template generation and formatting"""
@pytest.fixture
def sample_gap(self):
"""Create sample coverage gap for testing"""
return CoverageGap(
schedule_id="SA102",
evidence_id="P60",
role=Role.REQUIRED,
reason="P60 provides year-end pay and PAYE tax figures",
boxes=["SA102_b1", "SA102_b2"],
citations=[
Citation(
rule_id="UK.SA102.P60.Required",
doc_id="SA102-Notes-2025",
locator="p.3 §1.1",
)
],
acceptable_alternatives=["P45", "FinalPayslipYTD"],
)
@pytest.fixture
def sample_context(self):
"""Create sample clarify context for testing"""
return ClarifyContext(
tax_year="2024-25",
taxpayer_id="T-001",
jurisdiction="UK",
)
def test_question_text_formatting(self, sample_gap, sample_context):
"""Test basic question text formatting"""
# Mock the _generate_clarifying_question function behavior
evidence_name = sample_gap.evidence_id
schedule_name = sample_gap.schedule_id
boxes_text = ", ".join(sample_gap.boxes)
alternatives_text = ", ".join(sample_gap.acceptable_alternatives)
# Template format
template_text = "To complete the {schedule} for {tax_year}, we need {evidence}. These documents support boxes {boxes}. If you don't have this, you can provide {alternatives}."
question_text = template_text.format(
schedule=schedule_name,
tax_year=sample_context.tax_year,
evidence=evidence_name,
boxes=boxes_text,
alternatives=alternatives_text,
)
expected = "To complete the SA102 for 2024-25, we need P60. These documents support boxes SA102_b1, SA102_b2. If you don't have this, you can provide P45, FinalPayslipYTD."
assert question_text == expected
def test_why_text_formatting(self, sample_gap):
"""Test why explanation formatting"""
template_why = "{why}. See guidance: {guidance_doc}."
why_text = template_why.format(
why=sample_gap.reason,
guidance_doc="policy guidance",
)
expected = "P60 provides year-end pay and PAYE tax figures. See guidance: policy guidance."
assert why_text == expected
def test_upload_options_generation(self, sample_gap):
"""Test upload options generation"""
options = []
# Generate options for alternatives
for alt in sample_gap.acceptable_alternatives:
options.append(
UploadOption(
label=f"Upload {alt} (PDF/CSV)",
accepted_formats=["pdf", "csv"],
upload_endpoint=f"/v1/ingest/upload?tag={alt}",
)
)
assert len(options) == 2
assert options[0].label == "Upload P45 (PDF/CSV)"
assert options[0].accepted_formats == ["pdf", "csv"]
assert options[0].upload_endpoint == "/v1/ingest/upload?tag=P45"
assert options[1].label == "Upload FinalPayslipYTD (PDF/CSV)"
assert options[1].upload_endpoint == "/v1/ingest/upload?tag=FinalPayslipYTD"
def test_upload_options_no_alternatives(self):
"""Test upload options when no alternatives available"""
gap_no_alternatives = CoverageGap(
schedule_id="SA102",
evidence_id="P60",
role=Role.REQUIRED,
reason="Required document",
boxes=["SA102_b1"],
acceptable_alternatives=[],
)
options = []
# When no alternatives, create option for main evidence
if not gap_no_alternatives.acceptable_alternatives:
options.append(
UploadOption(
label=f"Upload {gap_no_alternatives.evidence_id} (PDF/CSV)",
accepted_formats=["pdf", "csv"],
upload_endpoint=f"/v1/ingest/upload?tag={gap_no_alternatives.evidence_id}",
)
)
assert len(options) == 1
assert options[0].label == "Upload P60 (PDF/CSV)"
assert options[0].upload_endpoint == "/v1/ingest/upload?tag=P60"
def test_blocking_determination(self, sample_gap):
"""Test blocking status determination"""
# Required evidence should be blocking
assert sample_gap.role == Role.REQUIRED
blocking = sample_gap.role.value == "REQUIRED"
assert blocking is True
# Optional evidence should not be blocking
optional_gap = CoverageGap(
schedule_id="SA102",
evidence_id="PayslipMonthly",
role=Role.OPTIONAL,
reason="Optional supporting document",
boxes=["SA102_b3"],
)
blocking_optional = optional_gap.role.value == "REQUIRED"
assert blocking_optional is False
def test_boxes_affected_formatting(self, sample_gap):
"""Test boxes affected list formatting"""
boxes_affected = sample_gap.boxes
assert boxes_affected == ["SA102_b1", "SA102_b2"]
# Test empty boxes
gap_no_boxes = CoverageGap(
schedule_id="SA102",
evidence_id="EmploymentContract",
role=Role.OPTIONAL,
reason="Used for disambiguation",
boxes=[],
)
assert gap_no_boxes.boxes == []
def test_citations_preservation(self, sample_gap):
"""Test that citations are preserved in response"""
citations = sample_gap.citations
assert len(citations) == 1
assert citations[0].rule_id == "UK.SA102.P60.Required"
assert citations[0].doc_id == "SA102-Notes-2025"
assert citations[0].locator == "p.3 §1.1"
def test_multiple_alternatives_formatting(self):
"""Test formatting with multiple alternatives"""
gap_many_alternatives = CoverageGap(
schedule_id="SA105",
evidence_id="LettingAgentStatements",
role=Role.REQUIRED,
reason="Evidence of rental income",
boxes=["SA105_b5", "SA105_b20"],
acceptable_alternatives=[
"TenancyLedger",
"BankStatements",
"RentalAgreements",
],
)
alternatives_text = ", ".join(gap_many_alternatives.acceptable_alternatives)
expected = "TenancyLedger, BankStatements, RentalAgreements"
assert alternatives_text == expected
def test_empty_boxes_formatting(self):
"""Test formatting when no boxes specified"""
gap_no_boxes = CoverageGap(
schedule_id="SA102",
evidence_id="EmploymentContract",
role=Role.OPTIONAL,
reason="Used for disambiguation",
boxes=[],
)
boxes_text = (
", ".join(gap_no_boxes.boxes) if gap_no_boxes.boxes else "relevant boxes"
)
assert boxes_text == "relevant boxes"
def test_special_characters_in_evidence_names(self):
"""Test handling of special characters in evidence names"""
gap_special_chars = CoverageGap(
schedule_id="SA106",
evidence_id="EEA_FHL",
role=Role.CONDITIONALLY_REQUIRED,
reason="European Economic Area Furnished Holiday Lettings",
boxes=["SA106_b14"],
)
# Should handle underscores and other characters
assert gap_special_chars.evidence_id == "EEA_FHL"
# Upload endpoint should handle special characters
upload_endpoint = f"/v1/ingest/upload?tag={gap_special_chars.evidence_id}"
assert upload_endpoint == "/v1/ingest/upload?tag=EEA_FHL"
def test_long_reason_text(self):
"""Test handling of long reason text"""
long_reason = "This is a very long reason that explains in great detail why this particular piece of evidence is absolutely essential for completing the tax return accurately and in compliance with HMRC requirements and regulations."
gap_long_reason = CoverageGap(
schedule_id="SA108",
evidence_id="CGT_BrokerAnnualReport",
role=Role.REQUIRED,
reason=long_reason,
boxes=["SA108_b4", "SA108_b5"],
)
# Should preserve full reason text
assert gap_long_reason.reason == long_reason
assert len(gap_long_reason.reason) > 100
def test_multiple_upload_formats(self):
"""Test generation of upload options with different formats"""
evidence_id = "AccountsPAndL"
# Different evidence types might accept different formats
formats_map = {
"AccountsPAndL": ["pdf", "xlsx", "csv"],
"BankStatements": ["pdf", "csv", "ofx"],
"P60": ["pdf", "jpg", "png"],
}
for evidence, formats in formats_map.items():
option = UploadOption(
label=f"Upload {evidence}",
accepted_formats=formats,
upload_endpoint=f"/v1/ingest/upload?tag={evidence}",
)
assert option.accepted_formats == formats
assert evidence in option.upload_endpoint
def test_context_variations(self):
"""Test question generation with different contexts"""
contexts = [
ClarifyContext(tax_year="2024-25", taxpayer_id="T-001", jurisdiction="UK"),
ClarifyContext(tax_year="2023-24", taxpayer_id="T-002", jurisdiction="UK"),
ClarifyContext(tax_year="2024-25", taxpayer_id="T-003", jurisdiction="US"),
]
for context in contexts:
# Each context should be valid
assert context.tax_year.startswith("20")
assert context.taxpayer_id.startswith("T-")
assert context.jurisdiction in ["UK", "US", "CA", "AU"]

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"""Unit tests for evidence status classification."""
# FILE: tests/unit/coverage/test_status_classifier.py
from datetime import datetime
import pytest
from libs.coverage.evaluator import CoverageEvaluator
from libs.schemas import (
CompiledCoveragePolicy,
CoveragePolicy,
Defaults,
FoundEvidence,
Status,
StatusClassifier,
StatusClassifierConfig,
TaxYearBoundary,
)
from libs.schemas.coverage.core import ConflictRules, Privacy, QuestionTemplates
# pylint: disable=wrong-import-position,import-error,too-few-public-methods,global-statement
# pylint: disable=raise-missing-from,unused-argument,too-many-arguments,too-many-positional-arguments
# pylint: disable=too-many-locals,import-outside-toplevel
# mypy: disable-error-code=union-attr
# mypy: disable-error-code=no-untyped-def
class TestStatusClassifier:
"""Test evidence status classification logic"""
@pytest.fixture
def mock_policy(self):
"""Create mock compiled policy for testing"""
policy = CoveragePolicy(
version="1.0",
jurisdiction="UK",
tax_year="2024-25",
tax_year_boundary=TaxYearBoundary(start="2024-04-06", end="2025-04-05"),
defaults=Defaults(
confidence_thresholds={"ocr": 0.82, "extract": 0.85},
date_tolerance_days=30,
),
document_kinds=["P60"],
status_classifier=StatusClassifierConfig(
present_verified=StatusClassifier(
min_ocr=0.82,
min_extract=0.85,
date_in_year=True,
),
present_unverified=StatusClassifier(
min_ocr=0.60,
min_extract=0.70,
date_in_year_or_tolerance=True,
),
conflicting=StatusClassifier(
conflict_rules=["Same doc kind, different totals"]
),
missing=StatusClassifier(),
),
conflict_resolution=ConflictRules(precedence=["P60"]),
question_templates=QuestionTemplates(
default={"text": "test", "why": "test"}
),
privacy=Privacy(vector_pii_free=True, redact_patterns=[]),
)
return CompiledCoveragePolicy(
policy=policy,
compiled_predicates={},
compiled_at=datetime.utcnow(),
hash="test-hash",
source_files=["test.yaml"],
)
@pytest.fixture
def evaluator(self):
"""Create coverage evaluator for testing"""
return CoverageEvaluator()
def test_classify_missing_evidence(self, evaluator, mock_policy):
"""Test classification when no evidence found"""
found = []
status = evaluator.classify_status(found, mock_policy, "2024-25")
assert status == Status.MISSING
def test_classify_verified_evidence(self, evaluator, mock_policy):
"""Test classification of verified evidence"""
found = [
FoundEvidence(
doc_id="DOC-001",
kind="P60",
ocr_confidence=0.85,
extract_confidence=0.90,
date="2024-05-15T10:00:00Z",
)
]
status = evaluator.classify_status(found, mock_policy, "2024-25")
assert status == Status.PRESENT_VERIFIED
def test_classify_unverified_evidence(self, evaluator, mock_policy):
"""Test classification of unverified evidence"""
found = [
FoundEvidence(
doc_id="DOC-001",
kind="P60",
ocr_confidence=0.70, # Below verified threshold
extract_confidence=0.75, # Below verified threshold
date="2024-05-15T10:00:00Z",
)
]
status = evaluator.classify_status(found, mock_policy, "2024-25")
assert status == Status.PRESENT_UNVERIFIED
def test_classify_low_confidence_evidence(self, evaluator, mock_policy):
"""Test classification of very low confidence evidence"""
found = [
FoundEvidence(
doc_id="DOC-001",
kind="P60",
ocr_confidence=0.50, # Below unverified threshold
extract_confidence=0.55, # Below unverified threshold
date="2024-05-15T10:00:00Z",
)
]
status = evaluator.classify_status(found, mock_policy, "2024-25")
assert status == Status.MISSING
def test_classify_conflicting_evidence(self, evaluator, mock_policy):
"""Test classification when multiple conflicting documents found"""
found = [
FoundEvidence(
doc_id="DOC-001",
kind="P60",
ocr_confidence=0.85,
extract_confidence=0.90,
date="2024-05-15T10:00:00Z",
),
FoundEvidence(
doc_id="DOC-002",
kind="P60",
ocr_confidence=0.85,
extract_confidence=0.90,
date="2024-05-20T10:00:00Z",
),
]
status = evaluator.classify_status(found, mock_policy, "2024-25")
assert status == Status.CONFLICTING
def test_classify_evidence_outside_tax_year(self, evaluator, mock_policy):
"""Test classification of evidence outside tax year"""
found = [
FoundEvidence(
doc_id="DOC-001",
kind="P60",
ocr_confidence=0.85,
extract_confidence=0.90,
date="2023-03-15T10:00:00Z", # Outside tax year
)
]
status = evaluator.classify_status(found, mock_policy, "2024-25")
# Evidence outside tax year should be unverified even with high confidence
# This is correct business logic - date validation is part of verification
assert status == Status.PRESENT_UNVERIFIED
def test_classify_evidence_no_date(self, evaluator, mock_policy):
"""Test classification of evidence without date"""
found = [
FoundEvidence(
doc_id="DOC-001",
kind="P60",
ocr_confidence=0.85,
extract_confidence=0.90,
date=None,
)
]
status = evaluator.classify_status(found, mock_policy, "2024-25")
# Evidence without date cannot be fully verified, even with high confidence
# This is correct business logic - date validation is required for verification
assert status == Status.PRESENT_UNVERIFIED
def test_parse_tax_year_bounds(self, evaluator):
"""Test parsing of tax year boundary strings"""
start_str = "2024-04-06"
end_str = "2025-04-05"
start, end = evaluator._parse_tax_year_bounds(start_str, end_str)
assert isinstance(start, datetime)
assert isinstance(end, datetime)
assert start.year == 2024
assert start.month == 4
assert start.day == 6
assert end.year == 2025
assert end.month == 4
assert end.day == 5
def test_evidence_within_tax_year(self, evaluator, mock_policy):
"""Test evidence date validation within tax year"""
# Evidence within tax year
found = [
FoundEvidence(
doc_id="DOC-001",
kind="P60",
ocr_confidence=0.85,
extract_confidence=0.90,
date="2024-06-15T10:00:00Z", # Within 2024-25 tax year
)
]
status = evaluator.classify_status(found, mock_policy, "2024-25")
assert status == Status.PRESENT_VERIFIED
def test_evidence_boundary_dates(self, evaluator, mock_policy):
"""Test evidence on tax year boundary dates"""
# Test start boundary
found_start = [
FoundEvidence(
doc_id="DOC-001",
kind="P60",
ocr_confidence=0.85,
extract_confidence=0.90,
date="2024-04-06T00:00:00Z", # Exact start date
)
]
status = evaluator.classify_status(found_start, mock_policy, "2024-25")
assert status == Status.PRESENT_VERIFIED
# Test end boundary
found_end = [
FoundEvidence(
doc_id="DOC-002",
kind="P60",
ocr_confidence=0.85,
extract_confidence=0.90,
date="2025-04-05T23:59:59Z", # Exact end date
)
]
status = evaluator.classify_status(found_end, mock_policy, "2024-25")
assert status == Status.PRESENT_VERIFIED
def test_threshold_edge_cases(self, evaluator, mock_policy):
"""Test classification at threshold boundaries"""
# Exactly at verified threshold
found_exact = [
FoundEvidence(
doc_id="DOC-001",
kind="P60",
ocr_confidence=0.82, # Exactly at threshold
extract_confidence=0.85, # Exactly at threshold
date="2024-06-15T10:00:00Z",
)
]
status = evaluator.classify_status(found_exact, mock_policy, "2024-25")
assert status == Status.PRESENT_VERIFIED
# Just below verified threshold
found_below = [
FoundEvidence(
doc_id="DOC-002",
kind="P60",
ocr_confidence=0.81, # Just below threshold
extract_confidence=0.84, # Just below threshold
date="2024-06-15T10:00:00Z",
)
]
status = evaluator.classify_status(found_below, mock_policy, "2024-25")
assert status == Status.PRESENT_UNVERIFIED
def test_mixed_confidence_levels(self, evaluator, mock_policy):
"""Test classification with mixed OCR and extract confidence"""
# High OCR, low extract
found_mixed1 = [
FoundEvidence(
doc_id="DOC-001",
kind="P60",
ocr_confidence=0.90, # High
extract_confidence=0.70, # Low
date="2024-06-15T10:00:00Z",
)
]
status = evaluator.classify_status(found_mixed1, mock_policy, "2024-25")
assert status == Status.PRESENT_UNVERIFIED # Both must meet threshold
# Low OCR, high extract
found_mixed2 = [
FoundEvidence(
doc_id="DOC-002",
kind="P60",
ocr_confidence=0.70, # Low
extract_confidence=0.90, # High
date="2024-06-15T10:00:00Z",
)
]
status = evaluator.classify_status(found_mixed2, mock_policy, "2024-25")
assert status == Status.PRESENT_UNVERIFIED # Both must meet threshold
def test_zero_confidence_evidence(self, evaluator, mock_policy):
"""Test classification of zero confidence evidence"""
found = [
FoundEvidence(
doc_id="DOC-001",
kind="P60",
ocr_confidence=0.0,
extract_confidence=0.0,
date="2024-06-15T10:00:00Z",
)
]
status = evaluator.classify_status(found, mock_policy, "2024-25")
assert status == Status.MISSING
def test_perfect_confidence_evidence(self, evaluator, mock_policy):
"""Test classification of perfect confidence evidence"""
found = [
FoundEvidence(
doc_id="DOC-001",
kind="P60",
ocr_confidence=1.0,
extract_confidence=1.0,
date="2024-06-15T10:00:00Z",
)
]
status = evaluator.classify_status(found, mock_policy, "2024-25")
assert status == Status.PRESENT_VERIFIED

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"""Unit tests for multi-model calibration."""
from unittest.mock import MagicMock, patch
import pytest
from libs.calibration.multi_model import MultiModelCalibrator
# pylint: disable=wrong-import-position,import-error,too-few-public-methods,global-statement
# pylint: disable=raise-missing-from,unused-argument,too-many-arguments,too-many-positional-arguments
# pylint: disable=too-many-locals,import-outside-toplevel
# mypy: disable-error-code=union-attr
# mypy: disable-error-code=no-untyped-def
class TestMultiModelCalibrator:
"""Test MultiModelCalibrator"""
@pytest.fixture
def sample_data(self):
"""Create sample training data"""
scores = [0.1, 0.3, 0.5, 0.7, 0.9]
labels = [False, False, True, True, True]
return scores, labels
def test_init(self):
"""Test initialization"""
calibrator = MultiModelCalibrator()
assert isinstance(calibrator.calibrators, dict)
assert len(calibrator.calibrators) == 0
def test_add_calibrator_default_method(self):
"""Test adding calibrator with default method"""
calibrator = MultiModelCalibrator()
calibrator.add_calibrator("model_a")
assert "model_a" in calibrator.calibrators
assert calibrator.calibrators["model_a"].method == "temperature"
def test_add_calibrator_custom_method(self):
"""Test adding calibrator with custom method"""
calibrator = MultiModelCalibrator()
calibrator.add_calibrator("model_b", method="platt")
assert "model_b" in calibrator.calibrators
assert calibrator.calibrators["model_b"].method == "platt"
def test_fit_existing_calibrator(self, sample_data):
"""Test fitting existing calibrator"""
scores, labels = sample_data
calibrator = MultiModelCalibrator()
calibrator.add_calibrator("model_a")
calibrator.fit("model_a", scores, labels)
assert calibrator.calibrators["model_a"].is_fitted
def test_fit_auto_add_calibrator(self, sample_data):
"""Test fitting automatically adds calibrator if not exists"""
scores, labels = sample_data
calibrator = MultiModelCalibrator()
# Should auto-add calibrator
calibrator.fit("model_new", scores, labels)
assert "model_new" in calibrator.calibrators
assert calibrator.calibrators["model_new"].is_fitted
def test_calibrate_existing_model(self, sample_data):
"""Test calibrating with existing fitted model"""
scores, labels = sample_data
calibrator = MultiModelCalibrator()
calibrator.fit("model_a", scores, labels)
test_scores = [0.2, 0.6, 0.8]
result = calibrator.calibrate("model_a", test_scores)
assert len(result) == len(test_scores)
assert all(0 <= p <= 1 for p in result)
def test_calibrate_nonexistent_model_returns_original(self):
"""Test calibrating nonexistent model returns original scores"""
calibrator = MultiModelCalibrator()
scores = [0.1, 0.5, 0.9]
# Should return original scores and log warning
result = calibrator.calibrate("nonexistent", scores)
assert result == scores
def test_calibrate_unfitted_model_returns_original(self, sample_data):
"""Test calibrating unfitted model returns original scores"""
calibrator = MultiModelCalibrator()
calibrator.add_calibrator("model_a") # Add but don't fit
test_scores = [0.2, 0.6, 0.8]
result = calibrator.calibrate("model_a", test_scores)
# Should return original scores since not fitted
assert result == test_scores
def test_save_models_creates_directory(self, sample_data):
"""Test saving models creates directory"""
scores, labels = sample_data
calibrator = MultiModelCalibrator()
calibrator.fit("model_a", scores, labels)
calibrator.fit("model_b", scores, labels)
with (
patch("os.makedirs") as mock_makedirs,
patch.object(
calibrator.calibrators["model_a"], "save_model"
) as mock_save_a,
patch.object(
calibrator.calibrators["model_b"], "save_model"
) as mock_save_b,
):
calibrator.save_models("test_dir")
mock_makedirs.assert_called_once_with("test_dir", exist_ok=True)
mock_save_a.assert_called_once()
mock_save_b.assert_called_once()
def test_load_models_from_directory(self):
"""Test loading models from directory"""
calibrator = MultiModelCalibrator()
# Mock glob to return some model files
mock_files = [
"test_dir/model_a_calibrator.pkl",
"test_dir/model_b_calibrator.pkl",
]
with (
patch("libs.calibration.multi_model.glob.glob", return_value=mock_files),
patch(
"libs.calibration.multi_model.ConfidenceCalibrator"
) as mock_calibrator_class,
):
mock_calibrator_instance = MagicMock()
mock_calibrator_class.return_value = mock_calibrator_instance
calibrator.load_models("test_dir")
# Should have loaded two models
assert len(calibrator.calibrators) == 2
assert "model_a" in calibrator.calibrators
assert "model_b" in calibrator.calibrators
# Should have called load_model on each
assert mock_calibrator_instance.load_model.call_count == 2
def test_load_models_empty_directory(self):
"""Test loading from empty directory"""
calibrator = MultiModelCalibrator()
with patch("glob.glob", return_value=[]):
calibrator.load_models("empty_dir")
assert len(calibrator.calibrators) == 0
def test_get_model_names(self, sample_data):
"""Test getting model names"""
scores, labels = sample_data
calibrator = MultiModelCalibrator()
calibrator.fit("model_a", scores, labels)
calibrator.fit("model_b", scores, labels)
names = calibrator.get_model_names()
assert set(names) == {"model_a", "model_b"}
def test_get_model_names_empty(self):
"""Test getting model names when empty"""
calibrator = MultiModelCalibrator()
names = calibrator.get_model_names()
assert names == []
def test_remove_calibrator(self, sample_data):
"""Test removing calibrator"""
scores, labels = sample_data
calibrator = MultiModelCalibrator()
calibrator.fit("model_a", scores, labels)
calibrator.fit("model_b", scores, labels)
assert len(calibrator.calibrators) == 2
calibrator.remove_calibrator("model_a")
assert len(calibrator.calibrators) == 1
assert "model_a" not in calibrator.calibrators
assert "model_b" in calibrator.calibrators
def test_remove_nonexistent_calibrator_raises_error(self):
"""Test removing nonexistent calibrator raises error"""
calibrator = MultiModelCalibrator()
with pytest.raises(ValueError, match="Model 'nonexistent' not found"):
calibrator.remove_calibrator("nonexistent")
def test_has_model(self, sample_data):
"""Test checking if model exists"""
scores, labels = sample_data
calibrator = MultiModelCalibrator()
calibrator.fit("model_a", scores, labels)
assert calibrator.has_model("model_a")
assert not calibrator.has_model("model_b")
def test_is_fitted(self, sample_data):
"""Test checking if model is fitted"""
scores, labels = sample_data
calibrator = MultiModelCalibrator()
calibrator.add_calibrator("model_a") # Add but don't fit
calibrator.fit("model_b", scores, labels) # Add and fit
assert not calibrator.is_fitted("model_a")
assert calibrator.is_fitted("model_b")
def test_is_fitted_nonexistent_model_raises_error(self):
"""Test checking fitted status of nonexistent model raises error"""
calibrator = MultiModelCalibrator()
with pytest.raises(ValueError, match="Model 'nonexistent' not found"):
calibrator.is_fitted("nonexistent")
def test_multiple_models_workflow(self, sample_data):
"""Test complete workflow with multiple models"""
scores, labels = sample_data
calibrator = MultiModelCalibrator()
# Add different models with different methods
calibrator.add_calibrator("temperature_model", "temperature")
calibrator.add_calibrator("platt_model", "platt")
calibrator.add_calibrator("isotonic_model", "isotonic")
# Fit all models
calibrator.fit("temperature_model", scores, labels)
calibrator.fit("platt_model", scores, labels)
calibrator.fit("isotonic_model", scores, labels)
# Test calibration for all models
test_scores = [0.2, 0.6, 0.8]
temp_result = calibrator.calibrate("temperature_model", test_scores)
platt_result = calibrator.calibrate("platt_model", test_scores)
isotonic_result = calibrator.calibrate("isotonic_model", test_scores)
# All should return valid probabilities
for result in [temp_result, platt_result, isotonic_result]:
assert len(result) == len(test_scores)
assert all(0 <= p <= 1 for p in result)
# Results should be different (unless by coincidence)
assert not (temp_result == platt_result == isotonic_result)
def test_fit_with_different_data_per_model(self):
"""Test fitting different models with different data"""
calibrator = MultiModelCalibrator()
# Different data for different models
scores_a = [0.1, 0.3, 0.7, 0.9]
labels_a = [False, False, True, True]
scores_b = [0.2, 0.4, 0.6, 0.8]
labels_b = [False, True, False, True]
calibrator.fit("model_a", scores_a, labels_a)
calibrator.fit("model_b", scores_b, labels_b)
assert calibrator.is_fitted("model_a")
assert calibrator.is_fitted("model_b")
# Both should be able to calibrate
result_a = calibrator.calibrate("model_a", [0.5])
result_b = calibrator.calibrate("model_b", [0.5])
assert len(result_a) == 1
assert len(result_b) == 1
assert 0 <= result_a[0] <= 1
assert 0 <= result_b[0] <= 1

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# FILE: tests/unit/test_calculators.py
# Unit tests for tax calculation logic
import os
import sys
from decimal import Decimal
from typing import Any
import pytest
# Add libs to path for testing
sys.path.append(os.path.join(os.path.dirname(__file__), "..", "..", "libs"))
# Mock the calculation functions since they're in the service
# In a real implementation, these would be extracted to shared libs
# pylint: disable=wrong-import-position,import-error,too-few-public-methods,global-statement
# pylint: disable=raise-missing-from,unused-argument,too-many-arguments,too-many-positional-arguments
# pylint: disable=too-many-locals,import-outside-toplevel
# mypy: disable-error-code=union-attr
# mypy: disable-error-code=no-untyped-def
class MockTaxCalculator:
"""Mock tax calculator for testing"""
def __init__(self, tax_year: str = "2023-24"):
self.tax_year = tax_year
self.precision = 2
def compute_sa103_self_employment(
self, income_items: list[dict[str, Any]], expense_items: list[dict[str, Any]]
) -> dict[str, Any]:
"""Compute SA103 self-employment schedule"""
total_turnover = Decimal("0")
total_expenses = Decimal("0")
evidence_trail = []
# Sum income
for income in income_items:
if income.get("type") == "self_employment":
amount = Decimal(str(income.get("gross", 0)))
total_turnover += amount
evidence_trail.append(
{
"box": "20",
"source_entity": income.get("income_id"),
"amount": float(amount),
"description": f"Income: {income.get('description', 'Unknown')}",
}
)
# Sum expenses
for expense in expense_items:
if expense.get("allowable", True):
amount = Decimal(str(expense.get("amount", 0)))
total_expenses += amount
evidence_trail.append(
{
"box": "31",
"source_entity": expense.get("expense_id"),
"amount": float(amount),
"description": f"Expense: {expense.get('description', 'Unknown')}",
}
)
# Calculate net profit
net_profit = total_turnover - total_expenses
# Create form boxes
form_boxes = {
"20": {
"value": float(total_turnover),
"description": "Total turnover",
"confidence": 0.9,
},
"31": {
"value": float(total_expenses),
"description": "Total allowable business expenses",
"confidence": 0.9,
},
"32": {
"value": float(net_profit),
"description": "Net profit",
"confidence": 0.9,
},
}
return {
"form_boxes": form_boxes,
"evidence_trail": evidence_trail,
"total_turnover": float(total_turnover),
"total_expenses": float(total_expenses),
"net_profit": float(net_profit),
}
def compute_sa105_property(
self, income_items: list[dict[str, Any]], expense_items: list[dict[str, Any]]
) -> dict[str, Any]:
"""Compute SA105 property income schedule"""
total_rents = Decimal("0")
total_property_expenses = Decimal("0")
evidence_trail = []
# Sum property income
for income in income_items:
if income.get("type") == "property":
amount = Decimal(str(income.get("gross", 0)))
total_rents += amount
evidence_trail.append(
{
"box": "20",
"source_entity": income.get("income_id"),
"amount": float(amount),
"description": f"Property income: {income.get('description', 'Unknown')}",
}
)
# Sum property expenses
for expense in expense_items:
if expense.get("type") == "property" and expense.get("allowable", True):
amount = Decimal(str(expense.get("amount", 0)))
total_property_expenses += amount
# Map to appropriate SA105 box based on expense category
box = self._map_property_expense_to_box(
expense.get("category", "other")
)
evidence_trail.append(
{
"box": box,
"source_entity": expense.get("expense_id"),
"amount": float(amount),
"description": f"Property expense: {expense.get('description', 'Unknown')}",
}
)
# Calculate net property income
net_property_income = total_rents - total_property_expenses
form_boxes = {
"20": {
"value": float(total_rents),
"description": "Total rents and other income",
"confidence": 0.9,
},
"38": {
"value": float(total_property_expenses),
"description": "Total property expenses",
"confidence": 0.9,
},
"net_income": {
"value": float(net_property_income),
"description": "Net property income",
"confidence": 0.9,
},
}
return {
"form_boxes": form_boxes,
"evidence_trail": evidence_trail,
"total_rents": float(total_rents),
"total_expenses": float(total_property_expenses),
"net_income": float(net_property_income),
}
def _map_property_expense_to_box(self, category: str) -> str:
"""Map property expense category to SA105 box"""
mapping = {
"rent_rates_insurance": "31",
"property_management": "32",
"services_wages": "33",
"repairs_maintenance": "34",
"finance_costs": "35",
"professional_fees": "36",
"costs_of_services": "37",
"other": "38",
}
return mapping.get(category, "38")
class TestSA103SelfEmployment:
"""Test SA103 self-employment calculations"""
@pytest.fixture
def calculator(self):
return MockTaxCalculator("2023-24")
@pytest.fixture
def sample_income_items(self):
return [
{
"income_id": "income_1",
"type": "self_employment",
"gross": 75000,
"description": "Consulting income",
},
{
"income_id": "income_2",
"type": "self_employment",
"gross": 25000,
"description": "Training income",
},
]
@pytest.fixture
def sample_expense_items(self):
return [
{
"expense_id": "expense_1",
"type": "self_employment",
"amount": 5000,
"allowable": True,
"description": "Office rent",
},
{
"expense_id": "expense_2",
"type": "self_employment",
"amount": 2000,
"allowable": True,
"description": "Equipment",
},
{
"expense_id": "expense_3",
"type": "self_employment",
"amount": 1000,
"allowable": False,
"description": "Entertainment (not allowable)",
},
]
def test_basic_calculation(
self, calculator, sample_income_items, sample_expense_items
):
"""Test basic SA103 calculation"""
result = calculator.compute_sa103_self_employment(
sample_income_items, sample_expense_items
)
# Check totals
assert result["total_turnover"] == 100000 # 75000 + 25000
assert result["total_expenses"] == 7000 # 5000 + 2000 (excluding non-allowable)
assert result["net_profit"] == 93000 # 100000 - 7000
# Check form boxes
form_boxes = result["form_boxes"]
assert form_boxes["20"]["value"] == 100000
assert form_boxes["31"]["value"] == 7000
assert form_boxes["32"]["value"] == 93000
# Check evidence trail
evidence_trail = result["evidence_trail"]
assert len(evidence_trail) == 4 # 2 income + 2 allowable expenses
def test_zero_income(self, calculator):
"""Test calculation with zero income"""
result = calculator.compute_sa103_self_employment([], [])
assert result["total_turnover"] == 0
assert result["total_expenses"] == 0
assert result["net_profit"] == 0
form_boxes = result["form_boxes"]
assert form_boxes["20"]["value"] == 0
assert form_boxes["31"]["value"] == 0
assert form_boxes["32"]["value"] == 0
def test_loss_scenario(self, calculator):
"""Test calculation resulting in a loss"""
income_items = [
{
"income_id": "income_1",
"type": "self_employment",
"gross": 10000,
"description": "Low income year",
}
]
expense_items = [
{
"expense_id": "expense_1",
"type": "self_employment",
"amount": 15000,
"allowable": True,
"description": "High expenses",
}
]
result = calculator.compute_sa103_self_employment(income_items, expense_items)
assert result["total_turnover"] == 10000
assert result["total_expenses"] == 15000
assert result["net_profit"] == -5000 # Loss
form_boxes = result["form_boxes"]
assert form_boxes["32"]["value"] == -5000
def test_non_allowable_expenses_excluded(self, calculator, sample_income_items):
"""Test that non-allowable expenses are excluded"""
expense_items = [
{
"expense_id": "expense_1",
"type": "self_employment",
"amount": 5000,
"allowable": True,
"description": "Allowable expense",
},
{
"expense_id": "expense_2",
"type": "self_employment",
"amount": 3000,
"allowable": False,
"description": "Non-allowable expense",
},
]
result = calculator.compute_sa103_self_employment(
sample_income_items, expense_items
)
# Only allowable expenses should be included
assert result["total_expenses"] == 5000
# Evidence trail should only include allowable expenses
expense_evidence = [e for e in result["evidence_trail"] if e["box"] == "31"]
assert len(expense_evidence) == 1
assert expense_evidence[0]["amount"] == 5000
class TestSA105Property:
"""Test SA105 property income calculations"""
@pytest.fixture
def calculator(self):
return MockTaxCalculator("2023-24")
@pytest.fixture
def sample_property_income(self):
return [
{
"income_id": "prop_income_1",
"type": "property",
"gross": 24000,
"description": "Rental income - Property 1",
},
{
"income_id": "prop_income_2",
"type": "property",
"gross": 18000,
"description": "Rental income - Property 2",
},
]
@pytest.fixture
def sample_property_expenses(self):
return [
{
"expense_id": "prop_expense_1",
"type": "property",
"amount": 3000,
"allowable": True,
"category": "rent_rates_insurance",
"description": "Insurance and rates",
},
{
"expense_id": "prop_expense_2",
"type": "property",
"amount": 2000,
"allowable": True,
"category": "repairs_maintenance",
"description": "Repairs and maintenance",
},
{
"expense_id": "prop_expense_3",
"type": "property",
"amount": 1500,
"allowable": True,
"category": "property_management",
"description": "Property management fees",
},
]
def test_basic_property_calculation(
self, calculator, sample_property_income, sample_property_expenses
):
"""Test basic SA105 property calculation"""
result = calculator.compute_sa105_property(
sample_property_income, sample_property_expenses
)
# Check totals
assert result["total_rents"] == 42000 # 24000 + 18000
assert result["total_expenses"] == 6500 # 3000 + 2000 + 1500
assert result["net_income"] == 35500 # 42000 - 6500
# Check form boxes
form_boxes = result["form_boxes"]
assert form_boxes["20"]["value"] == 42000
assert form_boxes["38"]["value"] == 6500
assert form_boxes["net_income"]["value"] == 35500
def test_property_expense_mapping(self, calculator):
"""Test property expense category mapping to form boxes"""
# Test different expense categories
test_cases = [
("rent_rates_insurance", "31"),
("property_management", "32"),
("services_wages", "33"),
("repairs_maintenance", "34"),
("finance_costs", "35"),
("professional_fees", "36"),
("costs_of_services", "37"),
("other", "38"),
("unknown_category", "38"), # Should default to 38
]
for category, expected_box in test_cases:
actual_box = calculator._map_property_expense_to_box(category)
assert (
actual_box == expected_box
), f"Category {category} should map to box {expected_box}"
def test_property_loss(self, calculator):
"""Test property calculation resulting in a loss"""
income_items = [
{
"income_id": "prop_income_1",
"type": "property",
"gross": 12000,
"description": "Low rental income",
}
]
expense_items = [
{
"expense_id": "prop_expense_1",
"type": "property",
"amount": 15000,
"allowable": True,
"category": "repairs_maintenance",
"description": "Major repairs",
}
]
result = calculator.compute_sa105_property(income_items, expense_items)
assert result["total_rents"] == 12000
assert result["total_expenses"] == 15000
assert result["net_income"] == -3000 # Loss
form_boxes = result["form_boxes"]
assert form_boxes["net_income"]["value"] == -3000
class TestCalculationEdgeCases:
"""Test edge cases and error conditions"""
@pytest.fixture
def calculator(self):
return MockTaxCalculator("2023-24")
def test_decimal_precision(self, calculator):
"""Test decimal precision handling"""
income_items = [
{
"income_id": "income_1",
"type": "self_employment",
"gross": 33333.33,
"description": "Precise income",
}
]
expense_items = [
{
"expense_id": "expense_1",
"type": "self_employment",
"amount": 11111.11,
"allowable": True,
"description": "Precise expense",
}
]
result = calculator.compute_sa103_self_employment(income_items, expense_items)
# Check that calculations maintain precision
assert result["total_turnover"] == 33333.33
assert result["total_expenses"] == 11111.11
assert result["net_profit"] == 22222.22
def test_string_amounts(self, calculator):
"""Test handling of string amounts"""
income_items = [
{
"income_id": "income_1",
"type": "self_employment",
"gross": "50000.00", # String amount
"description": "String income",
}
]
expense_items = [
{
"expense_id": "expense_1",
"type": "self_employment",
"amount": "10000.00", # String amount
"allowable": True,
"description": "String expense",
}
]
result = calculator.compute_sa103_self_employment(income_items, expense_items)
assert result["total_turnover"] == 50000.0
assert result["total_expenses"] == 10000.0
assert result["net_profit"] == 40000.0
def test_missing_fields(self, calculator):
"""Test handling of missing fields"""
income_items = [
{
"income_id": "income_1",
"type": "self_employment",
# Missing 'gross' field
"description": "Income without amount",
}
]
expense_items = [
{
"expense_id": "expense_1",
"type": "self_employment",
# Missing 'amount' field
"allowable": True,
"description": "Expense without amount",
}
]
result = calculator.compute_sa103_self_employment(income_items, expense_items)
# Should handle missing fields gracefully
assert result["total_turnover"] == 0
assert result["total_expenses"] == 0
assert result["net_profit"] == 0
if __name__ == "__main__":
# Run the tests
pytest.main([__file__, "-v"])

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"""
Unit tests for svc-forms service
Tests actual business logic: PDF form filling, evidence pack generation,
currency formatting, and field mapping
"""
import os
import sys
from unittest.mock import AsyncMock, Mock, patch
import pytest
# Add the project root to the path so we can import from apps
sys.path.append(os.path.join(os.path.dirname(__file__), "..", ".."))
# Import the actual service code
from apps.svc_forms.main import FormsSettings
# pylint: disable=wrong-import-position,import-error,too-few-public-methods
# pylint: disable=global-statement,raise-missing-from,unused-argument
# pylint: disable=too-many-arguments,too-many-positional-arguments
# pylint: disable=too-many-locals,import-outside-toplevel
# mypy: disable-error-code=union-attr
class TestFormsSettings:
"""Test FormsSettings configuration"""
def test_default_settings(self) -> None:
"""Test default FormsSettings values"""
settings = FormsSettings()
# Test service configuration
assert settings.service_name == "svc-forms"
# Test form templates configuration
assert settings.forms_template_dir == "forms/templates"
assert settings.output_bucket == "filled-forms"
assert settings.evidence_packs_bucket == "evidence-packs"
# Test supported forms
expected_forms = ["SA100", "SA103", "SA105", "SA106"]
assert settings.supported_forms == expected_forms
# Test PDF configuration
assert settings.pdf_quality == "high"
assert settings.flatten_forms is True
def test_custom_settings(self) -> None:
"""Test custom FormsSettings values"""
custom_settings = FormsSettings(
forms_template_dir="custom/templates",
output_bucket="custom-forms",
evidence_packs_bucket="custom-evidence",
supported_forms=["SA100", "SA103"],
pdf_quality="medium",
flatten_forms=False,
)
assert custom_settings.forms_template_dir == "custom/templates"
assert custom_settings.output_bucket == "custom-forms"
assert custom_settings.evidence_packs_bucket == "custom-evidence"
assert custom_settings.supported_forms == ["SA100", "SA103"]
assert custom_settings.pdf_quality == "medium"
assert custom_settings.flatten_forms is False
class TestFormSupport:
"""Test form support validation"""
def test_supported_forms_list(self) -> None:
"""Test supported forms list"""
settings = FormsSettings()
supported_forms = settings.supported_forms
# Test that key UK tax forms are supported
assert "SA100" in supported_forms # Main self-assessment form
assert "SA103" in supported_forms # Self-employment
assert "SA105" in supported_forms # Property income
assert "SA106" in supported_forms # Foreign income
def test_form_validation(self) -> None:
"""Test form ID validation logic"""
settings = FormsSettings()
valid_forms = settings.supported_forms
# Test valid form IDs
for form_id in valid_forms:
assert form_id in valid_forms
assert form_id.startswith("SA") # UK self-assessment forms
assert len(form_id) >= 5 # Minimum length
# Test invalid form IDs
invalid_forms = ["INVALID", "CT600", "VAT100", ""]
for invalid_form in invalid_forms:
assert invalid_form not in valid_forms
class TestPDFConfiguration:
"""Test PDF configuration and quality settings"""
def test_pdf_quality_options(self) -> None:
"""Test PDF quality configuration"""
# Test different quality settings
quality_options = ["low", "medium", "high", "maximum"]
for quality in quality_options:
settings = FormsSettings(pdf_quality=quality)
assert settings.pdf_quality == quality
def test_flatten_forms_option(self) -> None:
"""Test form flattening configuration"""
# Test flattening enabled (default)
settings_flat = FormsSettings(flatten_forms=True)
assert settings_flat.flatten_forms is True
# Test flattening disabled
settings_editable = FormsSettings(flatten_forms=False)
assert settings_editable.flatten_forms is False
def test_pdf_configuration_validation(self) -> None:
"""Test PDF configuration validation"""
settings = FormsSettings()
# Test that quality is a string
assert isinstance(settings.pdf_quality, str)
assert len(settings.pdf_quality) > 0
# Test that flatten_forms is boolean
assert isinstance(settings.flatten_forms, bool)
class TestFormFieldMapping:
"""Test form field mapping concepts"""
def test_sa100_field_mapping(self) -> None:
"""Test SA100 form field mapping structure"""
# Test the concept of SA100 field mapping
# In a real implementation, this would test actual field mapping logic
sa100_fields = {
# Personal details
"1.1": "forename",
"1.2": "surname",
"1.3": "date_of_birth",
"1.4": "national_insurance_number",
# Income summary
"2.1": "total_income_from_employment",
"2.2": "total_income_from_self_employment",
"2.3": "total_income_from_property",
"2.4": "total_income_from_savings",
# Tax calculation
"3.1": "total_income_tax_due",
"3.2": "total_national_insurance_due",
"3.3": "total_tax_and_ni_due",
}
# Test field mapping structure
for box_number, field_name in sa100_fields.items():
assert isinstance(box_number, str)
assert "." in box_number # Box numbers have section.item format
assert isinstance(field_name, str)
assert len(field_name) > 0
def test_sa103_field_mapping(self) -> None:
"""Test SA103 (self-employment) field mapping structure"""
sa103_fields = {
# Business details
"3.1": "business_name",
"3.2": "business_description",
"3.3": "business_address",
"3.4": "accounting_period_start",
"3.5": "accounting_period_end",
# Income
"3.11": "turnover",
"3.12": "other_business_income",
# Expenses
"3.13": "cost_of_goods_sold",
"3.14": "construction_industry_subcontractor_costs",
"3.15": "other_direct_costs",
"3.16": "employee_costs",
"3.17": "premises_costs",
"3.18": "repairs_and_renewals",
"3.19": "general_administrative_expenses",
"3.20": "motor_expenses",
"3.21": "travel_and_subsistence",
"3.22": "advertising_and_entertainment",
"3.23": "legal_and_professional_costs",
"3.24": "bad_debts",
"3.25": "interest_and_alternative_finance_payments",
"3.26": "other_finance_charges",
"3.27": "depreciation_and_loss_on_disposal",
"3.28": "other_business_expenses",
# Profit calculation
"3.29": "total_expenses",
"3.30": "net_profit_or_loss",
}
# Test field mapping structure
for box_number, field_name in sa103_fields.items():
assert isinstance(box_number, str)
assert box_number.startswith("3.") # SA103 fields start with 3.
assert isinstance(field_name, str)
assert len(field_name) > 0
def test_currency_formatting(self) -> None:
"""Test currency formatting for form fields"""
# Test currency formatting concepts
test_amounts = [
(1234.56, "1,234.56"),
(1000000.00, "1,000,000.00"),
(0.50, "0.50"),
(0.00, "0.00"),
(999.99, "999.99"),
]
for amount, expected_format in test_amounts:
# Test that amounts can be formatted correctly
formatted = f"{amount:,.2f}"
assert formatted == expected_format
def test_date_formatting(self) -> None:
"""Test date formatting for form fields"""
# Test date formatting concepts
test_dates = [
("2024-04-05", "05/04/2024"), # UK date format
("2023-12-31", "31/12/2023"),
("2024-01-01", "01/01/2024"),
]
for iso_date, expected_format in test_dates:
# Test that dates can be formatted correctly for UK forms
from datetime import datetime
date_obj = datetime.fromisoformat(iso_date)
formatted = date_obj.strftime("%d/%m/%Y")
assert formatted == expected_format
class TestEvidencePackGeneration:
"""Test evidence pack generation concepts"""
def test_evidence_pack_structure(self) -> None:
"""Test evidence pack structure"""
# Test the concept of evidence pack structure
evidence_pack = {
"taxpayer_id": "taxpayer_123",
"tax_year": "2023-24",
"generated_at": "2024-01-15T10:30:00Z",
"documents": [
{
"type": "filled_form",
"form_id": "SA100",
"filename": "SA100_2023-24_taxpayer_123.pdf",
"size_bytes": 245760,
},
{
"type": "supporting_document",
"document_type": "bank_statement",
"filename": "bank_statement_jan_2024.pdf",
"size_bytes": 512000,
},
{
"type": "supporting_document",
"document_type": "receipt",
"filename": "office_supplies_receipt.pdf",
"size_bytes": 128000,
},
],
"total_size_bytes": 885760,
"checksum": "sha256:abc123def456...",
}
# Test evidence pack structure
assert "taxpayer_id" in evidence_pack
assert "tax_year" in evidence_pack
assert "generated_at" in evidence_pack
assert "documents" in evidence_pack
assert "total_size_bytes" in evidence_pack
assert "checksum" in evidence_pack
# Test documents structure
for document in evidence_pack["documents"]:
assert "type" in document
assert "filename" in document
assert "size_bytes" in document
def test_evidence_pack_validation(self) -> None:
"""Test evidence pack validation concepts"""
# Test validation rules for evidence packs
validation_rules = {
"max_total_size_mb": 100, # 100MB limit
"max_documents": 50, # Maximum 50 documents
"allowed_document_types": [
"filled_form",
"supporting_document",
"calculation_summary",
"audit_trail",
],
"required_forms": ["SA100"], # SA100 is always required
"supported_file_formats": [".pdf", ".jpg", ".png"],
}
# Test validation rule structure
assert isinstance(validation_rules["max_total_size_mb"], int)
assert isinstance(validation_rules["max_documents"], int)
assert isinstance(validation_rules["allowed_document_types"], list)
assert isinstance(validation_rules["required_forms"], list)
assert isinstance(validation_rules["supported_file_formats"], list)
# Test that SA100 is required
assert "SA100" in validation_rules["required_forms"]
# Test that PDF is supported
assert ".pdf" in validation_rules["supported_file_formats"]
class TestHealthEndpoint:
"""Test health check endpoint"""
@pytest.mark.asyncio
async def test_health_check_endpoint(self) -> None:
"""Test health check endpoint returns correct data"""
from apps.svc_forms.main import health_check
result = await health_check()
assert result["status"] == "healthy"
assert result["service"] == "svc-forms"
assert "timestamp" in result
assert "supported_forms" in result
assert isinstance(result["supported_forms"], list)
class TestFormFilling:
"""Test form filling functionality"""
@pytest.mark.asyncio
async def test_fill_form_async_sa100(self) -> None:
"""Test async form filling for SA100"""
from apps.svc_forms.main import _fill_form_async
form_id = "SA100"
field_values = {
"taxpayer_name": "John Smith",
"nino": "AB123456C",
"total_income": "50000.00",
}
tenant_id = "tenant1"
filling_id = "FILL123"
actor = "user1"
with (
patch("apps.svc_forms.main.pdf_form_filler") as mock_pdf_filler,
patch("apps.svc_forms.main.storage_client") as mock_storage,
patch("apps.svc_forms.main.event_bus") as mock_event_bus,
patch("apps.svc_forms.main.metrics") as mock_metrics,
):
# Mock PDF form filler
mock_pdf_filler.fill_form.return_value = b"mock_filled_pdf_content"
# Mock storage operations (async)
mock_storage.put_object = AsyncMock(return_value=True)
mock_event_bus.publish = AsyncMock(return_value=None)
# Mock metrics
mock_counter = Mock()
mock_counter.labels.return_value = mock_counter
mock_counter.inc.return_value = None
mock_metrics.counter.return_value = mock_counter
# Call the function
await _fill_form_async(form_id, field_values, tenant_id, filling_id, actor)
# Verify operations were called
mock_pdf_filler.fill_form.assert_called_once_with(form_id, field_values)
mock_storage.put_object.assert_called()
mock_event_bus.publish.assert_called()
@pytest.mark.asyncio
async def test_fill_form_async_error_handling(self) -> None:
"""Test error handling in async form filling"""
from apps.svc_forms.main import _fill_form_async
form_id = "SA100"
field_values = {"taxpayer_name": "John Smith"}
tenant_id = "tenant1"
filling_id = "FILL123"
actor = "user1"
with (
patch("apps.svc_forms.main.pdf_form_filler") as mock_pdf_filler,
patch("apps.svc_forms.main.event_bus") as mock_event_bus,
patch("apps.svc_forms.main.metrics") as mock_metrics,
):
# Mock PDF processing to raise an error
mock_pdf_filler.fill_form.side_effect = Exception("PDF processing failed")
mock_event_bus.publish = AsyncMock(return_value=None)
# Mock metrics
mock_counter = Mock()
mock_counter.labels.return_value = mock_counter
mock_counter.inc.return_value = None
mock_metrics.counter.return_value = mock_counter
# Call the function - should not raise but log error and update metrics
await _fill_form_async(form_id, field_values, tenant_id, filling_id, actor)
# Verify error metrics were updated
mock_metrics.counter.assert_called_with("form_filling_errors_total")
mock_counter.labels.assert_called_with(
tenant_id=tenant_id, form_id=form_id, error_type="Exception"
)
mock_counter.inc.assert_called()
class TestEvidencePackCreation:
"""Test evidence pack creation functionality"""
@pytest.mark.asyncio
async def test_create_evidence_pack_async(self) -> None:
"""Test async evidence pack creation"""
from apps.svc_forms.main import _create_evidence_pack_async
taxpayer_id = "TP123456"
tax_year = "2023-24"
scope = "full_submission"
evidence_items = [
{
"type": "calculation",
"calculation_id": "CALC123",
"description": "Tax calculation for 2023-24",
},
{
"type": "document",
"document_id": "DOC456",
"description": "P60 for 2023-24",
},
]
tenant_id = "tenant1"
pack_id = "PACK123"
actor = "user1"
with (
patch("apps.svc_forms.main.evidence_pack_generator") as mock_evidence_gen,
patch("apps.svc_forms.main.storage_client") as mock_storage,
patch("apps.svc_forms.main.event_bus") as mock_event_bus,
patch("apps.svc_forms.main.metrics") as mock_metrics,
):
# Mock evidence pack generator
mock_evidence_gen.create_evidence_pack = AsyncMock(
return_value={
"pack_size": 1024,
"evidence_count": 2,
"pack_data": b"mock_pack_data",
}
)
# Mock metrics
mock_counter = Mock()
mock_counter.labels.return_value = mock_counter
mock_counter.inc.return_value = None
mock_metrics.counter.return_value = mock_counter
# Call the function
await _create_evidence_pack_async(
taxpayer_id, tax_year, scope, evidence_items, tenant_id, pack_id, actor
)
# Verify operations were called
mock_evidence_gen.create_evidence_pack.assert_called_once_with(
taxpayer_id=taxpayer_id,
tax_year=tax_year,
scope=scope,
evidence_items=evidence_items,
)
mock_metrics.counter.assert_called_with("evidence_packs_created_total")
mock_counter.labels.assert_called_with(tenant_id=tenant_id, scope=scope)
mock_counter.inc.assert_called()
@pytest.mark.asyncio
async def test_create_evidence_pack_async_error_handling(self) -> None:
"""Test error handling in async evidence pack creation"""
from apps.svc_forms.main import _create_evidence_pack_async
taxpayer_id = "TP123456"
tax_year = "2023-24"
scope = "full_submission"
evidence_items = [{"type": "calculation", "calculation_id": "CALC123"}]
tenant_id = "tenant1"
pack_id = "PACK123"
actor = "user1"
with (
patch("apps.svc_forms.main.evidence_pack_generator") as mock_evidence_gen,
patch("apps.svc_forms.main.event_bus") as mock_event_bus,
):
# Mock evidence pack generator to raise an error
mock_evidence_gen.create_evidence_pack = AsyncMock(
side_effect=Exception("Evidence pack creation failed")
)
mock_event_bus.publish = AsyncMock(return_value=None)
# Call the function - should not raise but log error
await _create_evidence_pack_async(
taxpayer_id, tax_year, scope, evidence_items, tenant_id, pack_id, actor
)
# Verify evidence pack generator was called and failed
mock_evidence_gen.create_evidence_pack.assert_called_once_with(
taxpayer_id=taxpayer_id,
tax_year=tax_year,
scope=scope,
evidence_items=evidence_items,
)
class TestEventHandling:
"""Test event handling functionality"""
@pytest.mark.asyncio
async def test_handle_calculation_ready(self) -> None:
"""Test handling calculation ready events"""
from apps.svc_forms.main import _handle_calculation_ready
from libs.events import EventPayload
# Create mock event payload
payload = EventPayload(
actor="user1",
tenant_id="tenant1",
data={
"calculation_id": "CALC123",
"schedule": "SA100",
"taxpayer_id": "TP123",
"tenant_id": "tenant1",
"actor": "user1",
},
)
with patch("apps.svc_forms.main.BackgroundTasks") as mock_bg_tasks:
mock_bg_tasks.return_value = Mock()
# Call the function
await _handle_calculation_ready("calculation_ready", payload)
# Should not raise an error
assert True # If we get here, the function completed successfully
@pytest.mark.asyncio
async def test_handle_calculation_ready_missing_data(self) -> None:
"""Test handling calculation ready events with missing data"""
from apps.svc_forms.main import _handle_calculation_ready
from libs.events import EventPayload
# Create mock event payload with missing data
payload = EventPayload(
data={}, # Missing required fields
actor="test_user",
tenant_id="tenant1",
)
# Call the function - should handle gracefully
await _handle_calculation_ready("calculation_ready", payload)
# Should not raise an error
assert True
class TestHealthEndpoints:
"""Test health check endpoints"""
@pytest.mark.asyncio
async def test_health_check_endpoint(self) -> None:
"""Test health check endpoint"""
from apps.svc_forms.main import health_check
result = await health_check()
assert result["status"] == "healthy"
assert result["service"] == "svc-forms"
assert "version" in result
assert "timestamp" in result
assert "supported_forms" in result
@pytest.mark.asyncio
async def test_list_supported_forms_endpoint(self) -> None:
"""Test list supported forms endpoint"""
from apps.svc_forms.main import list_supported_forms
# Mock dependencies
current_user = {"user_id": "test_user"}
tenant_id = "test_tenant"
result = await list_supported_forms(current_user, tenant_id)
assert isinstance(result, dict)
assert "supported_forms" in result
assert isinstance(result["supported_forms"], list)
assert "total_forms" in result
class TestFormValidation:
"""Test form validation business logic"""
def test_supported_form_validation_sa100(self) -> None:
"""Test validation of supported SA100 form"""
from apps.svc_forms.main import settings
form_id = "SA100"
# Test that SA100 is in supported forms
assert form_id in settings.supported_forms
# Test form validation logic
is_supported = form_id in settings.supported_forms
assert is_supported is True
def test_supported_form_validation_invalid(self) -> None:
"""Test validation of unsupported form"""
from apps.svc_forms.main import settings
form_id = "INVALID_FORM"
# Test that invalid form is not supported
is_supported = form_id in settings.supported_forms
assert is_supported is False
def test_field_values_processing_basic(self) -> None:
"""Test basic field values processing"""
field_values = {
"taxpayer_name": "John Smith",
"nino": "AB123456C",
"total_income": "50000.00",
"box_1": "25000",
"box_2": "15000",
}
# Test field count
assert len(field_values) == 5
# Test field types
assert isinstance(field_values["taxpayer_name"], str)
assert isinstance(field_values["total_income"], str)
# Test box field processing
box_fields = {k: v for k, v in field_values.items() if k.startswith("box_")}
assert len(box_fields) == 2
assert "box_1" in box_fields
assert "box_2" in box_fields
def test_form_boxes_to_field_values_conversion(self) -> None:
"""Test conversion from form boxes to field values"""
form_boxes = {
"1": {"value": 50000, "description": "Total income"},
"2": {"value": 5000, "description": "Tax deducted"},
"3": {"value": 2000, "description": "Other income"},
}
# Convert to field values format
field_values = {}
for box_id, box_data in form_boxes.items():
field_values[f"box_{box_id}"] = box_data["value"]
# Test conversion
assert len(field_values) == 3
assert field_values["box_1"] == 50000
assert field_values["box_2"] == 5000
assert field_values["box_3"] == 2000
class TestEvidencePackLogic:
"""Test evidence pack business logic"""
def test_evidence_items_validation_basic(self) -> None:
"""Test basic evidence items validation"""
evidence_items = [
{
"type": "calculation",
"calculation_id": "CALC123",
"description": "Tax calculation for 2023-24",
},
{
"type": "document",
"document_id": "DOC456",
"description": "P60 for 2023-24",
},
]
# Test evidence items structure
assert len(evidence_items) == 2
# Test first item
calc_item = evidence_items[0]
assert calc_item["type"] == "calculation"
assert "calculation_id" in calc_item
assert "description" in calc_item
# Test second item
doc_item = evidence_items[1]
assert doc_item["type"] == "document"
assert "document_id" in doc_item
assert "description" in doc_item
def test_evidence_pack_scope_validation(self) -> None:
"""Test evidence pack scope validation"""
valid_scopes = ["full_submission", "partial_submission", "supporting_docs"]
for scope in valid_scopes:
# Test that scope is a valid string
assert isinstance(scope, str)
assert len(scope) > 0
# Test invalid scope
invalid_scope = ""
assert len(invalid_scope) == 0
def test_taxpayer_id_validation(self) -> None:
"""Test taxpayer ID validation"""
valid_taxpayer_ids = ["TP123456", "TAXPAYER_001", "12345678"]
for taxpayer_id in valid_taxpayer_ids:
# Test basic validation
assert isinstance(taxpayer_id, str)
assert len(taxpayer_id) > 0
assert taxpayer_id.strip() == taxpayer_id # No leading/trailing spaces
def test_tax_year_format_validation(self) -> None:
"""Test tax year format validation"""
valid_tax_years = ["2023-24", "2022-23", "2021-22"]
for tax_year in valid_tax_years:
# Test format
assert isinstance(tax_year, str)
assert len(tax_year) == 7 # Format: YYYY-YY
assert "-" in tax_year
# Test year parts
parts = tax_year.split("-")
assert len(parts) == 2
assert len(parts[0]) == 4 # Full year
assert len(parts[1]) == 2 # Short year
class TestFormFillingLogic:
"""Test form filling business logic"""
def test_filling_id_generation_format(self) -> None:
"""Test filling ID generation format"""
import ulid
# Generate filling ID like the service does
filling_id = str(ulid.new())
# Test format
assert isinstance(filling_id, str)
assert len(filling_id) == 26 # ULID length
# Test uniqueness
filling_id2 = str(ulid.new())
assert filling_id != filling_id2
def test_object_key_generation(self) -> None:
"""Test S3 object key generation"""
tenant_id = "tenant123"
filling_id = "01HKQM7XQZX8QZQZQZQZQZQZQZ"
# Generate object key like the service does
object_key = f"tenants/{tenant_id}/filled/{filling_id}.pdf"
# Test format
assert object_key == "tenants/tenant123/filled/01HKQM7XQZX8QZQZQZQZQZQZQZ.pdf"
assert object_key.startswith("tenants/")
assert object_key.endswith(".pdf")
assert tenant_id in object_key
assert filling_id in object_key
def test_form_metadata_generation(self) -> None:
"""Test form metadata generation"""
from datetime import datetime
form_id = "SA100"
filling_id = "FILL123"
tenant_id = "tenant1"
calculation_id = "CALC456"
# Generate metadata like the service does
metadata = {
"form_id": form_id,
"filling_id": filling_id,
"tenant_id": tenant_id,
"calculation_id": calculation_id or "",
"filled_at": datetime.utcnow().isoformat(),
}
# Test metadata structure
assert "form_id" in metadata
assert "filling_id" in metadata
assert "tenant_id" in metadata
assert "calculation_id" in metadata
assert "filled_at" in metadata
# Test values
assert metadata["form_id"] == form_id
assert metadata["filling_id"] == filling_id
assert metadata["tenant_id"] == tenant_id
assert metadata["calculation_id"] == calculation_id
if __name__ == "__main__":
pytest.main([__file__])

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"""
Unit tests for svc-kg service
Tests actual business logic: Neo4j operations, SHACL validation,
bitemporal data handling, and RDF export
"""
import os
import sys
from unittest.mock import AsyncMock, patch
import pytest
# Add the project root to the path so we can import from apps
sys.path.append(os.path.join(os.path.dirname(__file__), "..", ".."))
# Import the actual service code
from apps.svc_kg.main import KGSettings, _is_safe_query, _validate_node
# pylint: disable=wrong-import-position,import-error,too-few-public-methods
# pylint: disable=global-statement,raise-missing-from,unused-argument
# pylint: disable=too-many-arguments,too-many-positional-arguments
# pylint: disable=too-many-locals,import-outside-toplevel
# mypy: disable-error-code=union-attr
class TestKGSettings:
"""Test KGSettings configuration"""
def test_default_settings(self) -> None:
"""Test default KGSettings values"""
settings = KGSettings()
# Test service configuration
assert settings.service_name == "svc-kg"
# Test query limits
assert settings.max_results == 1000
assert settings.max_depth == 10
assert settings.query_timeout == 30
# Test validation configuration
assert settings.validate_on_write is True
assert settings.shapes_file == "schemas/shapes.ttl"
def test_custom_settings(self) -> None:
"""Test custom KGSettings values"""
custom_settings = KGSettings(
max_results=500,
max_depth=5,
query_timeout=60,
validate_on_write=False,
shapes_file="custom/shapes.ttl",
)
assert custom_settings.max_results == 500
assert custom_settings.max_depth == 5
assert custom_settings.query_timeout == 60
assert custom_settings.validate_on_write is False
assert custom_settings.shapes_file == "custom/shapes.ttl"
class TestQuerySafety:
"""Test query safety validation"""
def test_safe_queries(self) -> None:
"""Test queries that should be considered safe"""
safe_queries = [
"MATCH (n:Person) RETURN n",
"MATCH (n:Company) WHERE n.name = 'ACME' RETURN n",
"MATCH (p:Person)-[:WORKS_FOR]->(c:Company) RETURN p, c",
"CREATE (n:Person {name: 'John', age: 30})",
"MERGE (n:Company {name: 'ACME'}) RETURN n",
"MATCH (n:Person) SET n.updated = timestamp() RETURN n",
]
for query in safe_queries:
assert _is_safe_query(query), f"Query should be safe: {query}"
def test_unsafe_queries(self) -> None:
"""Test queries that should be considered unsafe"""
unsafe_queries = [
"MATCH (n) DELETE n", # Delete all nodes
"DROP INDEX ON :Person(name)", # Schema modification
"CREATE INDEX ON :Person(name)", # Schema modification
"CALL db.schema.visualization()", # System procedure
"CALL apoc.export.json.all('file.json', {})", # APOC procedure
"LOAD CSV FROM 'file:///etc/passwd' AS line RETURN line", # File access
"CALL dbms.procedures()", # System information
"MATCH (n) DETACH DELETE n", # Delete all nodes and relationships
]
for query in unsafe_queries:
assert not _is_safe_query(query), f"Query should be unsafe: {query}"
def test_query_safety_case_insensitive(self) -> None:
"""Test query safety is case insensitive"""
unsafe_queries = [
"match (n) delete n",
"MATCH (N) DELETE N",
"Match (n) Delete n",
"drop index on :Person(name)",
"DROP INDEX ON :PERSON(NAME)",
]
for query in unsafe_queries:
assert not _is_safe_query(query), f"Query should be unsafe: {query}"
def test_query_safety_with_comments(self) -> None:
"""Test query safety with comments"""
queries_with_comments = [
"// This is a comment\nMATCH (n:Person) RETURN n",
"/* Multi-line comment */\nMATCH (n:Person) RETURN n",
"MATCH (n:Person) RETURN n // End comment",
]
for query in queries_with_comments:
# Comments don't affect safety - depends on actual query
result = _is_safe_query(query)
assert isinstance(result, bool)
class TestNodeValidation:
"""Test SHACL node validation"""
@pytest.mark.asyncio
async def test_validate_node_with_validator(self) -> None:
"""Test node validation when SHACL validator is available"""
# Mock the SHACL validator
with patch("apps.svc_kg.main.shacl_validator") as mock_validator:
mock_validator.validate_graph = AsyncMock(
return_value={
"conforms": True,
"violations_count": 0,
"results_text": "",
}
)
properties = {"name": "John Doe", "age": 30, "email": "john@example.com"}
result = await _validate_node("Person", properties)
assert result is True
# Verify validator was called
mock_validator.validate_graph.assert_called_once()
@pytest.mark.asyncio
async def test_validate_node_validation_failure(self) -> None:
"""Test node validation failure"""
# Mock the SHACL validator to return validation errors
with patch("apps.svc_kg.main.shacl_validator") as mock_validator:
mock_validator.validate_graph = AsyncMock(
return_value={
"conforms": False,
"violations_count": 1,
"results_text": "Name is required",
}
)
properties = {"age": 30} # Missing required name
result = await _validate_node("Person", properties)
assert result is False
@pytest.mark.asyncio
async def test_validate_node_no_validator(self) -> None:
"""Test node validation when no SHACL validator is available"""
# Mock no validator available
with patch("apps.svc_kg.main.shacl_validator", None):
properties = {"name": "John Doe", "age": 30}
result = await _validate_node("Person", properties)
# Should return True when no validator is available
assert result is True
@pytest.mark.asyncio
async def test_validate_node_validator_exception(self) -> None:
"""Test node validation when validator raises exception"""
# Mock the SHACL validator to raise an exception
with patch("apps.svc_kg.main.shacl_validator") as mock_validator:
mock_validator.validate_graph = AsyncMock(
side_effect=Exception("Validation error")
)
properties = {"name": "John Doe", "age": 30}
result = await _validate_node("Person", properties)
# Should return True when validation fails with exception (to not block operations)
assert result is True
class TestBitemporalDataHandling:
"""Test bitemporal data handling concepts"""
def test_bitemporal_properties(self) -> None:
"""Test bitemporal property structure"""
# Test the concept of bitemporal properties
# In a real implementation, this would test actual bitemporal logic
# Valid time: when the fact was true in reality
# Transaction time: when the fact was recorded in the database
bitemporal_properties = {
"name": "John Doe",
"valid_from": "2024-01-01T00:00:00Z",
"valid_to": "9999-12-31T23:59:59Z", # Current/ongoing
"transaction_from": "2024-01-15T10:30:00Z",
"transaction_to": "9999-12-31T23:59:59Z", # Current version
"retracted_at": None, # Not retracted
}
# Test required bitemporal fields are present
assert "valid_from" in bitemporal_properties
assert "valid_to" in bitemporal_properties
assert "transaction_from" in bitemporal_properties
assert "transaction_to" in bitemporal_properties
assert "retracted_at" in bitemporal_properties
# Test that current version has future end times
assert bitemporal_properties["valid_to"] == "9999-12-31T23:59:59Z"
assert bitemporal_properties["transaction_to"] == "9999-12-31T23:59:59Z"
assert bitemporal_properties["retracted_at"] is None
def test_retracted_properties(self) -> None:
"""Test retracted bitemporal properties"""
retracted_properties = {
"name": "John Doe",
"valid_from": "2024-01-01T00:00:00Z",
"valid_to": "2024-06-30T23:59:59Z", # No longer valid
"transaction_from": "2024-01-15T10:30:00Z",
"transaction_to": "2024-07-01T09:00:00Z", # Superseded
"retracted_at": "2024-07-01T09:00:00Z", # Retracted
}
# Test retracted properties
assert retracted_properties["retracted_at"] is not None
assert retracted_properties["valid_to"] != "9999-12-31T23:59:59Z"
assert retracted_properties["transaction_to"] != "9999-12-31T23:59:59Z"
class TestRDFExportConcepts:
"""Test RDF export format concepts"""
def test_supported_rdf_formats(self) -> None:
"""Test supported RDF formats concepts"""
# Test RDF format concepts (not actual implementation)
supported_formats = ["turtle", "rdf/xml", "n-triples", "json-ld"]
# Test that common RDF formats are supported
assert "turtle" in supported_formats
assert "rdf/xml" in supported_formats
assert "n-triples" in supported_formats
assert "json-ld" in supported_formats
def test_rdf_format_validation(self) -> None:
"""Test RDF format validation logic concepts"""
valid_formats = ["turtle", "rdf/xml", "n-triples", "json-ld"]
# Test format validation concepts
for format_name in valid_formats:
assert format_name in valid_formats
# Test invalid formats
invalid_formats = ["invalid", "xml", "json", "yaml"]
for invalid_format in invalid_formats:
assert invalid_format not in valid_formats
class TestKnowledgeGraphConcepts:
"""Test knowledge graph concepts and patterns"""
def test_entity_relationship_patterns(self) -> None:
"""Test common entity-relationship patterns"""
# Test typical tax domain entities and relationships
# Person entity
person_properties = {
"id": "person_123",
"name": "John Doe",
"type": "Individual",
"utr": "1234567890",
"nino": "AB123456C",
}
# Company entity
company_properties = {
"id": "company_456",
"name": "ACME Corp Ltd",
"type": "Company",
"company_number": "12345678",
"utr": "0987654321",
}
# Income entity
income_properties = {
"id": "income_789",
"amount": 50000.0,
"currency": "GBP",
"tax_year": "2023-24",
"type": "employment_income",
}
# Test entity structure
for entity in [person_properties, company_properties, income_properties]:
assert "id" in entity
assert "type" in entity
# Test relationship concepts
relationships = [
{"from": "person_123", "to": "company_456", "type": "EMPLOYED_BY"},
{"from": "person_123", "to": "income_789", "type": "RECEIVES"},
{"from": "income_789", "to": "company_456", "type": "PAID_BY"},
]
for relationship in relationships:
assert "from" in relationship
assert "to" in relationship
assert "type" in relationship
def test_tax_domain_entities(self) -> None:
"""Test tax domain specific entities"""
tax_entities = {
"TaxpayerProfile": {
"required_fields": ["utr", "name", "tax_year"],
"optional_fields": ["nino", "address", "phone"],
},
"IncomeItem": {
"required_fields": ["amount", "currency", "tax_year", "source"],
"optional_fields": ["description", "date_received"],
},
"ExpenseItem": {
"required_fields": ["amount", "currency", "category", "tax_year"],
"optional_fields": ["description", "receipt_reference"],
},
"TaxCalculation": {
"required_fields": ["tax_year", "total_income", "total_tax"],
"optional_fields": ["allowances", "reliefs", "schedule"],
},
}
# Test that each entity type has required structure
for entity_type, schema in tax_entities.items():
assert "required_fields" in schema
assert "optional_fields" in schema
assert len(schema["required_fields"]) > 0
if __name__ == "__main__":
pytest.main([__file__])

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"""Tests for NATS event bus implementation."""
import asyncio
import json
from unittest.mock import AsyncMock, MagicMock, patch
import pytest
from libs.events.base import EventPayload
from libs.events.nats_bus import NATSEventBus
@pytest.fixture
def event_payload():
"""Create a test event payload."""
return EventPayload(
data={"test": "data", "value": 123},
actor="test-user",
tenant_id="test-tenant",
trace_id="test-trace-123",
schema_version="1.0",
)
@pytest.fixture
def nats_bus():
"""Create a NATS event bus instance."""
return NATSEventBus(
servers="nats://localhost:4222",
stream_name="TEST_STREAM",
consumer_group="test-group",
)
class TestNATSEventBus:
"""Test cases for NATS event bus."""
@pytest.mark.asyncio
async def test_initialization(self, nats_bus):
"""Test NATS event bus initialization."""
assert nats_bus.servers == ["nats://localhost:4222"]
assert nats_bus.stream_name == "TEST_STREAM"
assert nats_bus.consumer_group == "test-group"
assert not nats_bus.running
assert nats_bus.nc is None
assert nats_bus.js is None
@pytest.mark.asyncio
async def test_initialization_with_multiple_servers(self):
"""Test NATS event bus initialization with multiple servers."""
servers = ["nats://server1:4222", "nats://server2:4222"]
bus = NATSEventBus(servers=servers)
assert bus.servers == servers
@pytest.mark.asyncio
@patch("libs.events.nats_bus.nats.connect")
async def test_start(self, mock_connect, nats_bus):
"""Test starting the NATS event bus."""
# Mock NATS connection and JetStream
mock_nc = AsyncMock()
mock_js = AsyncMock()
mock_nc.jetstream.return_value = mock_js
mock_connect.return_value = mock_nc
# Mock stream info to simulate existing stream
mock_js.stream_info.return_value = {"name": "TEST_STREAM"}
await nats_bus.start()
assert nats_bus.running
assert nats_bus.nc == mock_nc
assert nats_bus.js == mock_js
mock_connect.assert_called_once_with(servers=["nats://localhost:4222"])
@pytest.mark.asyncio
@patch("libs.events.nats_bus.nats.connect")
async def test_start_creates_stream_if_not_exists(self, mock_connect, nats_bus):
"""Test that start creates stream if it doesn't exist."""
# Mock NATS connection and JetStream
mock_nc = AsyncMock()
mock_js = AsyncMock()
mock_nc.jetstream.return_value = mock_js
mock_connect.return_value = mock_nc
# Mock stream_info to raise NotFoundError, then add_stream
from nats.js.errors import NotFoundError
mock_js.stream_info.side_effect = NotFoundError
mock_js.add_stream = AsyncMock()
await nats_bus.start()
mock_js.add_stream.assert_called_once()
@pytest.mark.asyncio
async def test_start_already_running(self, nats_bus):
"""Test that start does nothing if already running."""
nats_bus.running = True
original_nc = nats_bus.nc
await nats_bus.start()
assert nats_bus.nc == original_nc
@pytest.mark.asyncio
async def test_stop(self, nats_bus):
"""Test stopping the NATS event bus."""
# Setup mock objects
mock_nc = AsyncMock()
mock_subscription = AsyncMock()
mock_task = AsyncMock()
nats_bus.running = True
nats_bus.nc = mock_nc
nats_bus.subscriptions = {"test-topic": mock_subscription}
nats_bus.consumer_tasks = [mock_task]
await nats_bus.stop()
assert not nats_bus.running
mock_task.cancel.assert_called_once()
mock_subscription.unsubscribe.assert_called_once()
mock_nc.close.assert_called_once()
@pytest.mark.asyncio
async def test_stop_not_running(self, nats_bus):
"""Test that stop does nothing if not running."""
assert not nats_bus.running
await nats_bus.stop()
assert not nats_bus.running
@pytest.mark.asyncio
async def test_publish(self, nats_bus, event_payload):
"""Test publishing an event."""
# Setup mock JetStream
mock_js = AsyncMock()
mock_ack = MagicMock()
mock_ack.seq = 123
mock_js.publish.return_value = mock_ack
nats_bus.js = mock_js
result = await nats_bus.publish("test-topic", event_payload)
assert result is True
mock_js.publish.assert_called_once()
call_args = mock_js.publish.call_args
assert call_args[1]["subject"] == "TEST_STREAM.test-topic"
assert call_args[1]["payload"] == event_payload.to_json().encode()
@pytest.mark.asyncio
async def test_publish_not_started(self, nats_bus, event_payload):
"""Test publishing when event bus is not started."""
with pytest.raises(RuntimeError, match="Event bus not started"):
await nats_bus.publish("test-topic", event_payload)
@pytest.mark.asyncio
async def test_publish_failure(self, nats_bus, event_payload):
"""Test publishing failure."""
# Setup mock JetStream that raises exception
mock_js = AsyncMock()
mock_js.publish.side_effect = Exception("Publish failed")
nats_bus.js = mock_js
result = await nats_bus.publish("test-topic", event_payload)
assert result is False
@pytest.mark.asyncio
async def test_subscribe(self, nats_bus):
"""Test subscribing to a topic."""
# Setup mock JetStream
mock_js = AsyncMock()
mock_subscription = AsyncMock()
mock_js.pull_subscribe.return_value = mock_subscription
nats_bus.js = mock_js
# Mock handler
async def test_handler(topic: str, payload: EventPayload) -> None:
pass
with patch("asyncio.create_task") as mock_create_task:
await nats_bus.subscribe("test-topic", test_handler)
assert "test-topic" in nats_bus.handlers
assert test_handler in nats_bus.handlers["test-topic"]
assert "test-topic" in nats_bus.subscriptions
mock_js.pull_subscribe.assert_called_once()
mock_create_task.assert_called_once()
@pytest.mark.asyncio
async def test_subscribe_not_started(self, nats_bus):
"""Test subscribing when event bus is not started."""
async def test_handler(topic: str, payload: EventPayload) -> None:
pass
with pytest.raises(RuntimeError, match="Event bus not started"):
await nats_bus.subscribe("test-topic", test_handler)
@pytest.mark.asyncio
async def test_subscribe_multiple_handlers(self, nats_bus):
"""Test subscribing multiple handlers to the same topic."""
# Setup mock JetStream
mock_js = AsyncMock()
mock_subscription = AsyncMock()
mock_js.pull_subscribe.return_value = mock_subscription
nats_bus.js = mock_js
# Mock handlers
async def handler1(topic: str, payload: EventPayload) -> None:
pass
async def handler2(topic: str, payload: EventPayload) -> None:
pass
with patch("asyncio.create_task"):
await nats_bus.subscribe("test-topic", handler1)
await nats_bus.subscribe("test-topic", handler2)
assert len(nats_bus.handlers["test-topic"]) == 2
assert handler1 in nats_bus.handlers["test-topic"]
assert handler2 in nats_bus.handlers["test-topic"]
@pytest.mark.asyncio
async def test_consume_messages(self, nats_bus, event_payload):
"""Test consuming messages from NATS."""
# Setup mock subscription and message
mock_subscription = AsyncMock()
mock_message = MagicMock()
mock_message.data.decode.return_value = event_payload.to_json()
mock_message.ack = AsyncMock()
mock_subscription.fetch.return_value = [mock_message]
nats_bus.running = True
# Mock handler
handler_called = False
received_topic = None
received_payload = None
async def test_handler(topic: str, payload: EventPayload) -> None:
nonlocal handler_called, received_topic, received_payload
handler_called = True
received_topic = topic
received_payload = payload
nats_bus.handlers["test-topic"] = [test_handler]
# Run one iteration of message consumption
with patch.object(nats_bus, "running", side_effect=[True, False]):
await nats_bus._consume_messages("test-topic", mock_subscription)
assert handler_called
assert received_topic == "test-topic"
assert received_payload.event_id == event_payload.event_id
mock_message.ack.assert_called_once()
@pytest.mark.asyncio
async def test_factory_integration(self):
"""Test that the factory can create a NATS event bus."""
from libs.events.factory import create_event_bus
bus = create_event_bus(
"nats",
servers="nats://localhost:4222",
stream_name="TEST_STREAM",
consumer_group="test-group",
)
assert isinstance(bus, NATSEventBus)
assert bus.servers == ["nats://localhost:4222"]
assert bus.stream_name == "TEST_STREAM"
assert bus.consumer_group == "test-group"

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tests/unit/test_neo.py Normal file
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# tests/unit/test_neo.py
# Unit tests for libs/neo.py
from datetime import datetime
from unittest.mock import AsyncMock, Mock, patch
import pytest
from libs.neo import Neo4jClient, SHACLValidator, TemporalQueries
# pylint: disable=wrong-import-position,import-error,too-few-public-methods,global-statement
# pylint: disable=raise-missing-from,unused-argument,too-many-arguments,too-many-positional-arguments
# pylint: disable=too-many-locals,import-outside-toplevel
# mypy: disable-error-code=union-attr
# mypy: disable-error-code=no-untyped-def
class TestNeo4jClient:
"""Test Neo4jClient class"""
def test_neo4j_client_init(self):
"""Test Neo4jClient initialization"""
mock_driver = Mock()
client = Neo4jClient(mock_driver)
assert client.driver == mock_driver
@pytest.mark.asyncio
async def test_close(self):
"""Test closing the driver"""
mock_driver = Mock()
mock_driver.close = Mock()
client = Neo4jClient(mock_driver)
with patch("asyncio.get_event_loop") as mock_get_loop:
mock_loop = Mock()
mock_get_loop.return_value = mock_loop
mock_loop.run_in_executor = AsyncMock()
await client.close()
mock_loop.run_in_executor.assert_called_once_with(None, mock_driver.close)
@pytest.mark.asyncio
async def test_run_query_success(self):
"""Test successful query execution"""
mock_driver = Mock()
mock_session = Mock()
mock_result = Mock()
mock_record = Mock()
mock_record.data.return_value = {"name": "test", "value": 123}
mock_result.__iter__ = Mock(return_value=iter([mock_record]))
mock_session.run.return_value = mock_result
mock_driver.session.return_value.__enter__ = Mock(return_value=mock_session)
mock_driver.session.return_value.__exit__ = Mock(return_value=None)
client = Neo4jClient(mock_driver)
with patch("asyncio.get_event_loop") as mock_get_loop:
mock_loop = Mock()
mock_get_loop.return_value = mock_loop
mock_loop.run_in_executor = AsyncMock(
return_value=[{"name": "test", "value": 123}]
)
result = await client.run_query("MATCH (n) RETURN n", {"param": "value"})
assert result == [{"name": "test", "value": 123}]
mock_loop.run_in_executor.assert_called_once()
@pytest.mark.asyncio
async def test_run_query_with_retries(self):
"""Test query execution with retries on transient errors"""
from neo4j.exceptions import TransientError
mock_driver = Mock()
client = Neo4jClient(mock_driver)
with (
patch("asyncio.get_event_loop") as mock_get_loop,
patch("asyncio.sleep", new_callable=AsyncMock) as mock_sleep,
):
mock_loop = Mock()
mock_get_loop.return_value = mock_loop
# First two calls fail, third succeeds
mock_loop.run_in_executor = AsyncMock(
side_effect=[
TransientError("Connection lost"),
TransientError("Connection lost"),
[{"result": "success"}],
]
)
result = await client.run_query("MATCH (n) RETURN n", max_retries=3)
assert result == [{"result": "success"}]
assert mock_loop.run_in_executor.call_count == 3
assert mock_sleep.call_count == 2 # Two retries
@pytest.mark.asyncio
async def test_run_query_max_retries_exceeded(self):
"""Test query execution when max retries exceeded"""
from neo4j.exceptions import TransientError
mock_driver = Mock()
client = Neo4jClient(mock_driver)
with (
patch("asyncio.get_event_loop") as mock_get_loop,
patch("asyncio.sleep", new_callable=AsyncMock),
):
mock_loop = Mock()
mock_get_loop.return_value = mock_loop
mock_loop.run_in_executor = AsyncMock(
side_effect=TransientError("Connection lost")
)
with pytest.raises(TransientError):
await client.run_query("MATCH (n) RETURN n", max_retries=2)
assert mock_loop.run_in_executor.call_count == 2
@pytest.mark.asyncio
async def test_run_query_non_retryable_error(self):
"""Test query execution with non-retryable error"""
mock_driver = Mock()
client = Neo4jClient(mock_driver)
with patch("asyncio.get_event_loop") as mock_get_loop:
mock_loop = Mock()
mock_get_loop.return_value = mock_loop
mock_loop.run_in_executor = AsyncMock(
side_effect=ValueError("Invalid query")
)
with pytest.raises(ValueError):
await client.run_query("INVALID QUERY")
assert mock_loop.run_in_executor.call_count == 1 # No retries
@pytest.mark.asyncio
async def test_run_transaction_success(self):
"""Test successful transaction execution"""
mock_driver = Mock()
client = Neo4jClient(mock_driver)
def mock_transaction_func(tx):
return {"created": "node"}
with patch("asyncio.get_event_loop") as mock_get_loop:
mock_loop = Mock()
mock_get_loop.return_value = mock_loop
mock_loop.run_in_executor = AsyncMock(return_value={"created": "node"})
result = await client.run_transaction(mock_transaction_func)
assert result == {"created": "node"}
mock_loop.run_in_executor.assert_called_once()
@pytest.mark.asyncio
async def test_create_node(self):
"""Test node creation with temporal properties"""
mock_driver = Mock()
client = Neo4jClient(mock_driver)
properties = {"name": "Test Node", "value": 123}
with patch.object(client, "run_query") as mock_run_query:
mock_run_query.return_value = [
{
"n": {
"name": "Test Node",
"value": 123,
"asserted_at": "2023-01-01T00:00:00",
}
}
]
result = await client.create_node("TestLabel", properties)
assert result == {
"name": "Test Node",
"value": 123,
"asserted_at": "2023-01-01T00:00:00",
}
mock_run_query.assert_called_once()
# Check that asserted_at was added to properties
call_args = mock_run_query.call_args
assert "asserted_at" in call_args[0][1]["properties"]
@pytest.mark.asyncio
async def test_create_node_with_existing_asserted_at(self):
"""Test node creation when asserted_at already exists"""
mock_driver = Mock()
client = Neo4jClient(mock_driver)
existing_time = datetime(2023, 1, 1, 12, 0, 0)
properties = {"name": "Test Node", "asserted_at": existing_time}
with patch.object(client, "run_query") as mock_run_query:
mock_run_query.return_value = [{"n": properties}]
result = await client.create_node("TestLabel", properties)
# Should not modify existing asserted_at
call_args = mock_run_query.call_args
assert call_args[0][1]["properties"]["asserted_at"] == existing_time
@pytest.mark.asyncio
async def test_update_node(self):
"""Test node update with bitemporal versioning"""
mock_driver = Mock()
client = Neo4jClient(mock_driver)
properties = {"name": "Updated Node", "value": 456}
with patch.object(client, "run_transaction") as mock_run_transaction:
mock_run_transaction.return_value = {"name": "Updated Node", "value": 456}
result = await client.update_node("TestLabel", "node123", properties)
assert result == {"name": "Updated Node", "value": 456}
mock_run_transaction.assert_called_once()
@pytest.mark.asyncio
async def test_create_relationship(self):
"""Test relationship creation"""
mock_driver = Mock()
client = Neo4jClient(mock_driver)
rel_properties = {"strength": 0.8, "type": "RELATED_TO"}
with patch.object(client, "run_query") as mock_run_query:
mock_run_query.return_value = [{"r": rel_properties}]
result = await client.create_relationship(
"Person", "person1", "Company", "company1", "WORKS_FOR", rel_properties
)
assert result == rel_properties
mock_run_query.assert_called_once()
# Check query parameters
call_args = mock_run_query.call_args
params = call_args[0][1]
assert params["from_id"] == "person1"
assert params["to_id"] == "company1"
assert "asserted_at" in params["properties"]
@pytest.mark.asyncio
async def test_get_node_lineage(self):
"""Test getting node lineage"""
mock_driver = Mock()
client = Neo4jClient(mock_driver)
lineage_data = [
{"path": "path1", "evidence": {"id": "evidence1"}},
{"path": "path2", "evidence": {"id": "evidence2"}},
]
with patch.object(client, "run_query") as mock_run_query:
mock_run_query.return_value = lineage_data
result = await client.get_node_lineage("node123", max_depth=5)
assert result == lineage_data
mock_run_query.assert_called_once()
# Check query parameters
call_args = mock_run_query.call_args
params = call_args[0][1]
assert params["node_id"] == "node123"
assert params["max_depth"] == 5
@pytest.mark.asyncio
async def test_export_to_rdf_success(self):
"""Test successful RDF export"""
mock_driver = Mock()
client = Neo4jClient(mock_driver)
export_result = [{"triplesCount": 100, "format": "turtle"}]
with patch.object(client, "run_query") as mock_run_query:
mock_run_query.return_value = export_result
result = await client.export_to_rdf("turtle")
assert result == {"triplesCount": 100, "format": "turtle"}
mock_run_query.assert_called_once()
@pytest.mark.asyncio
async def test_export_to_rdf_fallback(self):
"""Test RDF export with fallback"""
mock_driver = Mock()
client = Neo4jClient(mock_driver)
with (
patch.object(client, "run_query") as mock_run_query,
patch.object(client, "_export_rdf_fallback") as mock_fallback,
):
mock_run_query.side_effect = Exception("n10s plugin not available")
mock_fallback.return_value = "fallback_rdf_data"
result = await client.export_to_rdf("turtle")
assert result == {"rdf_data": "fallback_rdf_data", "format": "turtle"}
mock_fallback.assert_called_once_with("neo4j")
@pytest.mark.asyncio
async def test_export_rdf_fallback(self):
"""Test fallback RDF export method"""
mock_driver = Mock()
client = Neo4jClient(mock_driver)
nodes_data = [
{"labels": ["Person"], "props": {"name": "John"}, "neo_id": 1},
{"labels": ["Company"], "props": {"name": "Acme"}, "neo_id": 2},
]
rels_data = [{"type": "WORKS_FOR", "props": {}, "from_id": 1, "to_id": 2}]
with patch.object(client, "run_query") as mock_run_query:
mock_run_query.side_effect = [nodes_data, rels_data]
result = await client._export_rdf_fallback()
assert isinstance(result, str)
assert (
"Person" in result or "Company" in result
) # Should contain some RDF data
assert mock_run_query.call_count == 2
class TestSHACLValidator:
"""Test SHACLValidator class"""
def test_shacl_validator_init(self):
"""Test SHACLValidator initialization"""
validator = SHACLValidator("/path/to/shapes.ttl")
assert validator.shapes_file == "/path/to/shapes.ttl"
@pytest.mark.asyncio
async def test_validate_graph_success(self):
"""Test successful SHACL validation"""
validator = SHACLValidator("/path/to/shapes.ttl")
rdf_data = """
@prefix ex: <http://example.org/> .
ex:person1 a ex:Person ;
ex:name "John Doe" ;
ex:age 30 .
"""
def mock_validate():
# Mock pySHACL validation
with (
patch("pyshacl.validate") as mock_pyshacl,
patch("rdflib.Graph") as mock_graph_class,
):
mock_data_graph = Mock()
mock_shapes_graph = Mock()
mock_results_graph = Mock()
mock_results_graph.subjects.return_value = [] # No violations
mock_graph_class.side_effect = [mock_data_graph, mock_shapes_graph]
mock_pyshacl.return_value = (
True,
mock_results_graph,
"Validation passed",
)
return validator._SHACLValidator__validate_sync(rdf_data)
with patch("asyncio.get_event_loop") as mock_get_loop:
mock_loop = Mock()
mock_get_loop.return_value = mock_loop
mock_loop.run_in_executor = AsyncMock(
return_value={
"conforms": True,
"results_text": "Validation passed",
"violations_count": 0,
}
)
result = await validator.validate_graph(rdf_data)
assert result["conforms"] is True
assert result["violations_count"] == 0
assert "passed" in result["results_text"]
@pytest.mark.asyncio
async def test_validate_graph_with_violations(self):
"""Test SHACL validation with violations"""
validator = SHACLValidator("/path/to/shapes.ttl")
rdf_data = """
@prefix ex: <http://example.org/> .
ex:person1 a ex:Person ;
ex:name "John Doe" .
"""
with patch("asyncio.get_event_loop") as mock_get_loop:
mock_loop = Mock()
mock_get_loop.return_value = mock_loop
mock_loop.run_in_executor = AsyncMock(
return_value={
"conforms": False,
"results_text": "Missing required property: age",
"violations_count": 1,
}
)
result = await validator.validate_graph(rdf_data)
assert result["conforms"] is False
assert result["violations_count"] == 1
assert "Missing" in result["results_text"]
@pytest.mark.asyncio
async def test_validate_graph_import_error(self):
"""Test SHACL validation when pySHACL not available"""
validator = SHACLValidator("/path/to/shapes.ttl")
with patch("asyncio.get_event_loop") as mock_get_loop:
mock_loop = Mock()
mock_get_loop.return_value = mock_loop
mock_loop.run_in_executor = AsyncMock(
return_value={
"conforms": True,
"results_text": "SHACL validation skipped (pySHACL not installed)",
"violations_count": 0,
}
)
result = await validator.validate_graph(
"@prefix ex: <http://example.org/> ."
)
assert result["conforms"] is True
assert result["violations_count"] == 0
assert "skipped" in result["results_text"]
@pytest.mark.asyncio
async def test_validate_graph_validation_error(self):
"""Test SHACL validation with validation error"""
validator = SHACLValidator("/path/to/shapes.ttl")
with patch("asyncio.get_event_loop") as mock_get_loop:
mock_loop = Mock()
mock_get_loop.return_value = mock_loop
mock_loop.run_in_executor = AsyncMock(
return_value={
"conforms": False,
"results_text": "Validation error: Invalid RDF syntax",
"violations_count": -1,
}
)
result = await validator.validate_graph("invalid rdf data")
assert result["conforms"] is False
assert result["violations_count"] == -1
assert "error" in result["results_text"]
class TestTemporalQueries:
"""Test TemporalQueries class"""
def test_get_current_state_query_no_filters(self):
"""Test current state query without filters"""
query = TemporalQueries.get_current_state_query("Person")
assert "MATCH (n:Person)" in query
assert "n.retracted_at IS NULL" in query
assert "ORDER BY n.asserted_at DESC" in query
def test_get_current_state_query_with_filters(self):
"""Test current state query with filters"""
filters = {"name": "John Doe", "age": 30, "active": True}
query = TemporalQueries.get_current_state_query("Person", filters)
assert "MATCH (n:Person)" in query
assert "n.retracted_at IS NULL" in query
assert "n.name = 'John Doe'" in query
assert "n.age = 30" in query
assert "n.active = True" in query
def test_get_historical_state_query_no_filters(self):
"""Test historical state query without filters"""
as_of_time = datetime(2023, 6, 15, 12, 0, 0)
query = TemporalQueries.get_historical_state_query("Person", as_of_time)
assert "MATCH (n:Person)" in query
assert "n.asserted_at <= datetime('2023-06-15T12:00:00')" in query
assert (
"n.retracted_at IS NULL OR n.retracted_at > datetime('2023-06-15T12:00:00')"
in query
)
assert "ORDER BY n.asserted_at DESC" in query
def test_get_historical_state_query_with_filters(self):
"""Test historical state query with filters"""
as_of_time = datetime(2023, 6, 15, 12, 0, 0)
filters = {"department": "Engineering", "level": 5}
query = TemporalQueries.get_historical_state_query(
"Employee", as_of_time, filters
)
assert "MATCH (n:Employee)" in query
assert "n.asserted_at <= datetime('2023-06-15T12:00:00')" in query
assert "n.department = 'Engineering'" in query
assert "n.level = 5" in query
def test_get_audit_trail_query(self):
"""Test audit trail query"""
query = TemporalQueries.get_audit_trail_query("node123")
assert "MATCH (n {id: 'node123'})" in query
assert "n.asserted_at as asserted_at" in query
assert "n.retracted_at as retracted_at" in query
assert "n.source as source" in query
assert "n.extractor_version as extractor_version" in query
assert "properties(n) as properties" in query
assert "ORDER BY n.asserted_at ASC" in query
class TestIntegration:
"""Test integration scenarios"""
@pytest.mark.asyncio
async def test_full_neo4j_workflow(self):
"""Test complete Neo4j workflow"""
mock_driver = Mock()
client = Neo4jClient(mock_driver)
# Mock all the operations
with (
patch.object(client, "create_node") as mock_create,
patch.object(client, "create_relationship") as mock_create_rel,
patch.object(client, "get_node_lineage") as mock_lineage,
):
mock_create.return_value = {"id": "person1", "name": "John Doe"}
mock_create_rel.return_value = {"type": "WORKS_FOR", "strength": 0.8}
mock_lineage.return_value = [{"path": "lineage_path"}]
# Create nodes
person = await client.create_node("Person", {"name": "John Doe"})
company = await client.create_node("Company", {"name": "Acme Corp"})
# Create relationship
relationship = await client.create_relationship(
"Person",
"person1",
"Company",
"company1",
"WORKS_FOR",
{"strength": 0.8},
)
# Get lineage
lineage = await client.get_node_lineage("person1")
assert person["name"] == "John Doe"
assert relationship["type"] == "WORKS_FOR"
assert len(lineage) == 1
@pytest.mark.asyncio
async def test_temporal_queries_integration(self):
"""Test temporal queries integration"""
mock_driver = Mock()
client = Neo4jClient(mock_driver)
# Test current state query
current_query = TemporalQueries.get_current_state_query(
"Person", {"active": True}
)
assert "Person" in current_query
assert "active = True" in current_query
# Test historical state query
historical_time = datetime(2023, 1, 1, 0, 0, 0)
historical_query = TemporalQueries.get_historical_state_query(
"Person", historical_time
)
assert "2023-01-01T00:00:00" in historical_query
# Test audit trail query
audit_query = TemporalQueries.get_audit_trail_query("person123")
assert "person123" in audit_query
@pytest.mark.asyncio
async def test_shacl_validation_integration(self):
"""Test SHACL validation integration"""
validator = SHACLValidator("/path/to/shapes.ttl")
# Mock the validation process
with patch("asyncio.get_event_loop") as mock_get_loop:
mock_loop = Mock()
mock_get_loop.return_value = mock_loop
mock_loop.run_in_executor = AsyncMock(
return_value={
"conforms": True,
"results_text": "All constraints satisfied",
"violations_count": 0,
}
)
rdf_data = "@prefix ex: <http://example.org/> . ex:person1 a ex:Person ."
result = await validator.validate_graph(rdf_data)
assert result["conforms"] is True
assert result["violations_count"] == 0