Add database and storage management tests
- Integration tests for database health, info, and maintenance endpoints - Unit tests for database maintenance operations (vacuum, analyze, integrity-check, reindex) - Database statistics collection and optimization recommendation logic - Maintenance scheduling and operation sequencing tests - Error handling and timeout management for database operations - Tests cover both existing endpoints and planned maintenance functionality
This commit is contained in:
parent
63f17b647d
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8f720443a4
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src/tests/integration/test_database_endpoints.py
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349
src/tests/integration/test_database_endpoints.py
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"""
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Integration tests for database and storage management API endpoints.
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Tests database info, maintenance operations (vacuum, analyze, integrity-check,
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reindex, optimize, stats), and storage management functionality.
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"""
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import pytest
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import sys
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import os
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from fastapi.testclient import TestClient
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from unittest.mock import patch
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# Add source directory to path
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sys.path.insert(0, os.path.join(os.path.dirname(__file__), '..', '..', '..'))
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# Import after path setup
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from src.server.fastapi_app import app # noqa: E402
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@pytest.fixture
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def client():
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"""Test client for database API tests."""
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return TestClient(app)
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@pytest.mark.integration
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class TestDatabaseInfoEndpoints:
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"""Test database information endpoints."""
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def test_database_health_requires_auth(self, client):
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"""Test database health endpoint requires authentication."""
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response = client.get("/api/system/database/health")
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assert response.status_code == 403
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def test_database_health_with_auth(self, client, mock_settings, valid_jwt_token):
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"""Test database health with valid authentication."""
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with patch('src.server.fastapi_app.settings', mock_settings):
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response = client.get(
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"/api/system/database/health",
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headers={"Authorization": f"Bearer {valid_jwt_token}"}
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)
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assert response.status_code == 200
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data = response.json()
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assert "status" in data
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assert "connection_pool" in data
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assert "response_time_ms" in data
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assert "last_check" in data
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assert data["status"] == "healthy"
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assert isinstance(data["response_time_ms"], (int, float))
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assert data["response_time_ms"] > 0
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def test_database_info_endpoint(self, client, mock_settings, valid_jwt_token):
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"""Test /api/database/info endpoint (to be implemented)."""
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with patch('src.server.fastapi_app.settings', mock_settings):
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response = client.get(
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"/api/database/info",
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headers={"Authorization": f"Bearer {valid_jwt_token}"}
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)
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# Endpoint may not be implemented yet
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assert response.status_code in [200, 404]
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if response.status_code == 200:
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data = response.json()
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expected_fields = ["database_type", "version", "size", "tables"]
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for field in expected_fields:
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if field in data:
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assert isinstance(data[field], (str, int, float, dict, list))
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@pytest.mark.integration
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class TestDatabaseMaintenanceEndpoints:
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"""Test database maintenance operation endpoints."""
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def test_database_vacuum_endpoint(self, client, mock_settings, valid_jwt_token):
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"""Test /maintenance/database/vacuum endpoint."""
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with patch('src.server.fastapi_app.settings', mock_settings):
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response = client.post(
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"/maintenance/database/vacuum",
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headers={"Authorization": f"Bearer {valid_jwt_token}"}
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)
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# Endpoint may not be implemented yet
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assert response.status_code in [200, 404]
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if response.status_code == 200:
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data = response.json()
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assert "success" in data or "status" in data
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def test_database_analyze_endpoint(self, client, mock_settings, valid_jwt_token):
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"""Test /maintenance/database/analyze endpoint."""
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with patch('src.server.fastapi_app.settings', mock_settings):
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response = client.post(
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"/maintenance/database/analyze",
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headers={"Authorization": f"Bearer {valid_jwt_token}"}
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)
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assert response.status_code in [200, 404]
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if response.status_code == 200:
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data = response.json()
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expected_fields = ["tables_analyzed", "statistics_updated", "duration_ms"]
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# Check if any expected fields are present
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assert any(field in data for field in expected_fields)
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def test_database_integrity_check_endpoint(self, client, mock_settings, valid_jwt_token):
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"""Test /maintenance/database/integrity-check endpoint."""
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with patch('src.server.fastapi_app.settings', mock_settings):
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response = client.post(
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"/maintenance/database/integrity-check",
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headers={"Authorization": f"Bearer {valid_jwt_token}"}
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)
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assert response.status_code in [200, 404]
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if response.status_code == 200:
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data = response.json()
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assert "integrity_status" in data or "status" in data
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if "integrity_status" in data:
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assert data["integrity_status"] in ["ok", "error", "warning"]
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def test_database_reindex_endpoint(self, client, mock_settings, valid_jwt_token):
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"""Test /maintenance/database/reindex endpoint."""
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with patch('src.server.fastapi_app.settings', mock_settings):
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response = client.post(
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"/maintenance/database/reindex",
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headers={"Authorization": f"Bearer {valid_jwt_token}"}
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)
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assert response.status_code in [200, 404]
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if response.status_code == 200:
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data = response.json()
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expected_fields = ["indexes_rebuilt", "duration_ms", "status"]
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assert any(field in data for field in expected_fields)
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def test_database_optimize_endpoint(self, client, mock_settings, valid_jwt_token):
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"""Test /maintenance/database/optimize endpoint."""
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with patch('src.server.fastapi_app.settings', mock_settings):
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response = client.post(
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"/maintenance/database/optimize",
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headers={"Authorization": f"Bearer {valid_jwt_token}"}
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)
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assert response.status_code in [200, 404]
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if response.status_code == 200:
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data = response.json()
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assert "optimization_status" in data or "status" in data
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def test_database_stats_endpoint(self, client, mock_settings, valid_jwt_token):
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"""Test /maintenance/database/stats endpoint."""
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with patch('src.server.fastapi_app.settings', mock_settings):
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response = client.get(
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"/maintenance/database/stats",
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headers={"Authorization": f"Bearer {valid_jwt_token}"}
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)
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assert response.status_code in [200, 404]
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if response.status_code == 200:
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data = response.json()
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expected_stats = ["table_count", "record_count", "database_size", "index_size"]
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# At least some stats should be present
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assert any(stat in data for stat in expected_stats)
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@pytest.mark.integration
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class TestDatabaseEndpointAuthentication:
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"""Test authentication requirements for database endpoints."""
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def test_database_endpoints_require_auth(self, client):
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"""Test that database endpoints require authentication."""
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database_endpoints = [
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"/api/database/info",
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"/api/system/database/health",
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"/maintenance/database/vacuum",
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"/maintenance/database/analyze",
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"/maintenance/database/integrity-check",
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"/maintenance/database/reindex",
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"/maintenance/database/optimize",
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"/maintenance/database/stats"
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]
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for endpoint in database_endpoints:
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# Try GET for info endpoints
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if "info" in endpoint or "health" in endpoint or "stats" in endpoint:
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response = client.get(endpoint)
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else:
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# Try POST for maintenance endpoints
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response = client.post(endpoint)
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# Should require authentication (403) or not be found (404)
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assert response.status_code in [403, 404]
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def test_database_endpoints_with_invalid_auth(self, client):
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"""Test database endpoints with invalid authentication."""
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invalid_token = "invalid.token.here"
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database_endpoints = [
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("/api/system/database/health", "GET"),
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("/maintenance/database/vacuum", "POST"),
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("/maintenance/database/analyze", "POST")
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]
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for endpoint, method in database_endpoints:
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if method == "GET":
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response = client.get(
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endpoint,
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headers={"Authorization": f"Bearer {invalid_token}"}
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)
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else:
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response = client.post(
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endpoint,
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headers={"Authorization": f"Bearer {invalid_token}"}
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)
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# Should be unauthorized (401) or not found (404)
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assert response.status_code in [401, 404]
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@pytest.mark.integration
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class TestDatabaseMaintenanceOperations:
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"""Test database maintenance operation workflows."""
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def test_maintenance_operation_sequence(self, client, mock_settings, valid_jwt_token):
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"""Test sequence of maintenance operations."""
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with patch('src.server.fastapi_app.settings', mock_settings):
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# Test sequence: analyze -> vacuum -> reindex -> optimize
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maintenance_sequence = [
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"/maintenance/database/analyze",
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"/maintenance/database/vacuum",
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"/maintenance/database/reindex",
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"/maintenance/database/optimize"
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]
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for endpoint in maintenance_sequence:
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response = client.post(
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endpoint,
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headers={"Authorization": f"Bearer {valid_jwt_token}"}
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)
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# Should either work (200) or not be implemented (404)
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assert response.status_code in [200, 404]
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if response.status_code == 200:
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data = response.json()
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# Should return some kind of status or success indication
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assert isinstance(data, dict)
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def test_maintenance_operation_parameters(self, client, mock_settings, valid_jwt_token):
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"""Test maintenance operations with parameters."""
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with patch('src.server.fastapi_app.settings', mock_settings):
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# Test vacuum with parameters
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response = client.post(
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"/maintenance/database/vacuum?full=true",
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headers={"Authorization": f"Bearer {valid_jwt_token}"}
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)
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assert response.status_code in [200, 404, 422]
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# Test analyze with table parameter
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response = client.post(
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"/maintenance/database/analyze?tables=anime,episodes",
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headers={"Authorization": f"Bearer {valid_jwt_token}"}
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)
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assert response.status_code in [200, 404, 422]
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def test_concurrent_maintenance_operations(self, client, mock_settings, valid_jwt_token):
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"""Test behavior of concurrent maintenance operations."""
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with patch('src.server.fastapi_app.settings', mock_settings):
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# Simulate starting multiple operations
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# In real implementation, this should be handled properly
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# Start first operation
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response1 = client.post(
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"/maintenance/database/vacuum",
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headers={"Authorization": f"Bearer {valid_jwt_token}"}
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)
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# Try to start second operation while first might be running
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response2 = client.post(
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"/maintenance/database/analyze",
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headers={"Authorization": f"Bearer {valid_jwt_token}"}
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)
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# Both should either work or not be implemented
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assert response1.status_code in [200, 404, 409] # 409 for conflict
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assert response2.status_code in [200, 404, 409]
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@pytest.mark.integration
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class TestDatabaseErrorHandling:
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"""Test error handling in database operations."""
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def test_database_connection_errors(self, client, mock_settings, valid_jwt_token):
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"""Test handling of database connection errors."""
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# Mock database connection failure
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with patch('src.server.fastapi_app.settings', mock_settings):
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response = client.get(
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"/api/system/database/health",
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headers={"Authorization": f"Bearer {valid_jwt_token}"}
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)
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# Health check should still return a response even if DB is down
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assert response.status_code in [200, 503] # 503 for service unavailable
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if response.status_code == 503:
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data = response.json()
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assert "error" in data or "status" in data
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def test_maintenance_operation_errors(self, client, mock_settings, valid_jwt_token):
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"""Test error handling in maintenance operations."""
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with patch('src.server.fastapi_app.settings', mock_settings):
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# Test with malformed requests
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malformed_requests = [
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("/maintenance/database/vacuum", {"invalid": "data"}),
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("/maintenance/database/analyze", {"tables": ""}),
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]
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for endpoint, json_data in malformed_requests:
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response = client.post(
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endpoint,
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json=json_data,
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headers={"Authorization": f"Bearer {valid_jwt_token}"}
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)
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# Should handle gracefully
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assert response.status_code in [200, 400, 404, 422]
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def test_database_timeout_handling(self, client, mock_settings, valid_jwt_token):
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"""Test handling of database operation timeouts."""
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with patch('src.server.fastapi_app.settings', mock_settings):
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# Test long-running operation (like full vacuum)
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response = client.post(
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"/maintenance/database/vacuum?full=true",
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headers={"Authorization": f"Bearer {valid_jwt_token}"},
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timeout=1 # Very short timeout to simulate timeout
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)
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# Should either complete quickly or handle timeout gracefully
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# Note: This test depends on implementation details
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assert response.status_code in [200, 404, 408, 504] # 408/504 for timeout
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484
src/tests/unit/test_database_maintenance.py
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484
src/tests/unit/test_database_maintenance.py
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"""
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Unit tests for database maintenance operation logic.
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Tests database maintenance functions, storage optimization,
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integrity checking, and database management utilities.
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"""
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import pytest
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import sys
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import os
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from unittest.mock import Mock
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# Add source directory to path
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sys.path.insert(0, os.path.join(os.path.dirname(__file__), '..', '..', '..'))
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@pytest.mark.unit
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class TestDatabaseMaintenanceLogic:
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"""Test database maintenance operation logic."""
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def test_database_vacuum_operation(self):
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"""Test database vacuum operation logic."""
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def perform_vacuum(connection, full_vacuum=False):
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"""Perform database vacuum operation."""
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try:
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cursor = connection.cursor()
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if full_vacuum:
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cursor.execute("VACUUM")
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else:
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cursor.execute("PRAGMA incremental_vacuum")
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# Get database size before and after (simulated)
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cursor.execute("PRAGMA page_count")
|
||||||
|
page_count = cursor.fetchone()[0]
|
||||||
|
|
||||||
|
cursor.execute("PRAGMA page_size")
|
||||||
|
page_size = cursor.fetchone()[0]
|
||||||
|
|
||||||
|
return {
|
||||||
|
"success": True,
|
||||||
|
"operation": "vacuum",
|
||||||
|
"type": "full" if full_vacuum else "incremental",
|
||||||
|
"pages_freed": 0, # Would be calculated in real implementation
|
||||||
|
"space_saved_bytes": 0,
|
||||||
|
"final_size_bytes": page_count * page_size
|
||||||
|
}
|
||||||
|
except Exception as e:
|
||||||
|
return {
|
||||||
|
"success": False,
|
||||||
|
"operation": "vacuum",
|
||||||
|
"error": str(e)
|
||||||
|
}
|
||||||
|
|
||||||
|
# Test with mock connection
|
||||||
|
mock_connection = Mock()
|
||||||
|
mock_cursor = Mock()
|
||||||
|
mock_connection.cursor.return_value = mock_cursor
|
||||||
|
mock_cursor.fetchone.side_effect = [[1000], [4096]] # page_count, page_size
|
||||||
|
|
||||||
|
# Test incremental vacuum
|
||||||
|
result = perform_vacuum(mock_connection, full_vacuum=False)
|
||||||
|
assert result["success"] is True
|
||||||
|
assert result["type"] == "incremental"
|
||||||
|
assert "final_size_bytes" in result
|
||||||
|
|
||||||
|
# Test full vacuum
|
||||||
|
result = perform_vacuum(mock_connection, full_vacuum=True)
|
||||||
|
assert result["success"] is True
|
||||||
|
assert result["type"] == "full"
|
||||||
|
|
||||||
|
# Test error handling
|
||||||
|
mock_cursor.execute.side_effect = Exception("Database locked")
|
||||||
|
result = perform_vacuum(mock_connection)
|
||||||
|
assert result["success"] is False
|
||||||
|
assert "error" in result
|
||||||
|
|
||||||
|
def test_database_analyze_operation(self):
|
||||||
|
"""Test database analyze operation logic."""
|
||||||
|
def perform_analyze(connection, tables=None):
|
||||||
|
"""Perform database analyze operation."""
|
||||||
|
try:
|
||||||
|
cursor = connection.cursor()
|
||||||
|
tables_analyzed = []
|
||||||
|
|
||||||
|
if tables:
|
||||||
|
# Analyze specific tables
|
||||||
|
for table in tables:
|
||||||
|
cursor.execute(f"ANALYZE {table}")
|
||||||
|
tables_analyzed.append(table)
|
||||||
|
else:
|
||||||
|
# Analyze all tables
|
||||||
|
cursor.execute("SELECT name FROM sqlite_master WHERE type='table'")
|
||||||
|
all_tables = [row[0] for row in cursor.fetchall()]
|
||||||
|
|
||||||
|
for table in all_tables:
|
||||||
|
cursor.execute(f"ANALYZE {table}")
|
||||||
|
tables_analyzed.append(table)
|
||||||
|
|
||||||
|
return {
|
||||||
|
"success": True,
|
||||||
|
"operation": "analyze",
|
||||||
|
"tables_analyzed": tables_analyzed,
|
||||||
|
"statistics_updated": len(tables_analyzed)
|
||||||
|
}
|
||||||
|
except Exception as e:
|
||||||
|
return {
|
||||||
|
"success": False,
|
||||||
|
"operation": "analyze",
|
||||||
|
"error": str(e)
|
||||||
|
}
|
||||||
|
|
||||||
|
# Test with mock connection
|
||||||
|
mock_connection = Mock()
|
||||||
|
mock_cursor = Mock()
|
||||||
|
mock_connection.cursor.return_value = mock_cursor
|
||||||
|
mock_cursor.fetchall.return_value = [("anime",), ("episodes",), ("users",)]
|
||||||
|
|
||||||
|
# Test analyze all tables
|
||||||
|
result = perform_analyze(mock_connection)
|
||||||
|
assert result["success"] is True
|
||||||
|
assert result["statistics_updated"] == 3
|
||||||
|
assert "anime" in result["tables_analyzed"]
|
||||||
|
|
||||||
|
# Test analyze specific tables
|
||||||
|
result = perform_analyze(mock_connection, tables=["anime", "episodes"])
|
||||||
|
assert result["success"] is True
|
||||||
|
assert result["statistics_updated"] == 2
|
||||||
|
assert set(result["tables_analyzed"]) == {"anime", "episodes"}
|
||||||
|
|
||||||
|
def test_database_integrity_check(self):
|
||||||
|
"""Test database integrity check logic."""
|
||||||
|
def check_database_integrity(connection):
|
||||||
|
"""Check database integrity."""
|
||||||
|
try:
|
||||||
|
cursor = connection.cursor()
|
||||||
|
|
||||||
|
# Run integrity check
|
||||||
|
cursor.execute("PRAGMA integrity_check")
|
||||||
|
integrity_results = cursor.fetchall()
|
||||||
|
|
||||||
|
# Run foreign key check
|
||||||
|
cursor.execute("PRAGMA foreign_key_check")
|
||||||
|
foreign_key_results = cursor.fetchall()
|
||||||
|
|
||||||
|
# Determine status
|
||||||
|
integrity_ok = len(integrity_results) == 1 and integrity_results[0][0] == "ok"
|
||||||
|
foreign_keys_ok = len(foreign_key_results) == 0
|
||||||
|
|
||||||
|
if integrity_ok and foreign_keys_ok:
|
||||||
|
status = "ok"
|
||||||
|
elif integrity_ok and not foreign_keys_ok:
|
||||||
|
status = "warning" # Foreign key violations
|
||||||
|
else:
|
||||||
|
status = "error" # Integrity issues
|
||||||
|
|
||||||
|
return {
|
||||||
|
"success": True,
|
||||||
|
"integrity_status": status,
|
||||||
|
"integrity_issues": [] if integrity_ok else integrity_results,
|
||||||
|
"foreign_key_issues": foreign_key_results,
|
||||||
|
"total_issues": len(foreign_key_results) + (0 if integrity_ok else len(integrity_results))
|
||||||
|
}
|
||||||
|
except Exception as e:
|
||||||
|
return {
|
||||||
|
"success": False,
|
||||||
|
"error": str(e)
|
||||||
|
}
|
||||||
|
|
||||||
|
# Test healthy database
|
||||||
|
mock_connection = Mock()
|
||||||
|
mock_cursor = Mock()
|
||||||
|
mock_connection.cursor.return_value = mock_cursor
|
||||||
|
mock_cursor.fetchall.side_effect = [[("ok",)], []] # integrity ok, no FK issues
|
||||||
|
|
||||||
|
result = check_database_integrity(mock_connection)
|
||||||
|
assert result["success"] is True
|
||||||
|
assert result["integrity_status"] == "ok"
|
||||||
|
assert result["total_issues"] == 0
|
||||||
|
|
||||||
|
# Test database with foreign key issues
|
||||||
|
mock_cursor.fetchall.side_effect = [[("ok",)], [("table", "row", "issue")]]
|
||||||
|
|
||||||
|
result = check_database_integrity(mock_connection)
|
||||||
|
assert result["success"] is True
|
||||||
|
assert result["integrity_status"] == "warning"
|
||||||
|
assert result["total_issues"] == 1
|
||||||
|
|
||||||
|
# Test database with integrity issues
|
||||||
|
mock_cursor.fetchall.side_effect = [[("error in table",)], []]
|
||||||
|
|
||||||
|
result = check_database_integrity(mock_connection)
|
||||||
|
assert result["success"] is True
|
||||||
|
assert result["integrity_status"] == "error"
|
||||||
|
assert result["total_issues"] == 1
|
||||||
|
|
||||||
|
def test_database_reindex_operation(self):
|
||||||
|
"""Test database reindex operation logic."""
|
||||||
|
def perform_reindex(connection, indexes=None):
|
||||||
|
"""Perform database reindex operation."""
|
||||||
|
try:
|
||||||
|
cursor = connection.cursor()
|
||||||
|
indexes_rebuilt = []
|
||||||
|
|
||||||
|
if indexes:
|
||||||
|
# Reindex specific indexes
|
||||||
|
for index in indexes:
|
||||||
|
cursor.execute(f"REINDEX {index}")
|
||||||
|
indexes_rebuilt.append(index)
|
||||||
|
else:
|
||||||
|
# Reindex all indexes
|
||||||
|
cursor.execute("SELECT name FROM sqlite_master WHERE type='index' AND name NOT LIKE 'sqlite_%'")
|
||||||
|
all_indexes = [row[0] for row in cursor.fetchall()]
|
||||||
|
|
||||||
|
for index in all_indexes:
|
||||||
|
cursor.execute(f"REINDEX {index}")
|
||||||
|
indexes_rebuilt.append(index)
|
||||||
|
|
||||||
|
return {
|
||||||
|
"success": True,
|
||||||
|
"operation": "reindex",
|
||||||
|
"indexes_rebuilt": indexes_rebuilt,
|
||||||
|
"count": len(indexes_rebuilt)
|
||||||
|
}
|
||||||
|
except Exception as e:
|
||||||
|
return {
|
||||||
|
"success": False,
|
||||||
|
"operation": "reindex",
|
||||||
|
"error": str(e)
|
||||||
|
}
|
||||||
|
|
||||||
|
# Test with mock connection
|
||||||
|
mock_connection = Mock()
|
||||||
|
mock_cursor = Mock()
|
||||||
|
mock_connection.cursor.return_value = mock_cursor
|
||||||
|
mock_cursor.fetchall.return_value = [("idx_anime_title",), ("idx_episode_number",)]
|
||||||
|
|
||||||
|
# Test reindex all
|
||||||
|
result = perform_reindex(mock_connection)
|
||||||
|
assert result["success"] is True
|
||||||
|
assert result["count"] == 2
|
||||||
|
assert "idx_anime_title" in result["indexes_rebuilt"]
|
||||||
|
|
||||||
|
# Test reindex specific indexes
|
||||||
|
result = perform_reindex(mock_connection, indexes=["idx_anime_title"])
|
||||||
|
assert result["success"] is True
|
||||||
|
assert result["count"] == 1
|
||||||
|
assert result["indexes_rebuilt"] == ["idx_anime_title"]
|
||||||
|
|
||||||
|
|
||||||
|
@pytest.mark.unit
|
||||||
|
class TestDatabaseStatistics:
|
||||||
|
"""Test database statistics collection."""
|
||||||
|
|
||||||
|
def test_collect_database_stats(self):
|
||||||
|
"""Test database statistics collection."""
|
||||||
|
def collect_database_stats(connection):
|
||||||
|
"""Collect comprehensive database statistics."""
|
||||||
|
try:
|
||||||
|
cursor = connection.cursor()
|
||||||
|
stats = {}
|
||||||
|
|
||||||
|
# Get table count
|
||||||
|
cursor.execute("SELECT COUNT(*) FROM sqlite_master WHERE type='table'")
|
||||||
|
stats["table_count"] = cursor.fetchone()[0]
|
||||||
|
|
||||||
|
# Get database size
|
||||||
|
cursor.execute("PRAGMA page_count")
|
||||||
|
page_count = cursor.fetchone()[0]
|
||||||
|
cursor.execute("PRAGMA page_size")
|
||||||
|
page_size = cursor.fetchone()[0]
|
||||||
|
stats["database_size_bytes"] = page_count * page_size
|
||||||
|
|
||||||
|
# Get free pages
|
||||||
|
cursor.execute("PRAGMA freelist_count")
|
||||||
|
free_pages = cursor.fetchone()[0]
|
||||||
|
stats["free_space_bytes"] = free_pages * page_size
|
||||||
|
|
||||||
|
# Get index count
|
||||||
|
cursor.execute("SELECT COUNT(*) FROM sqlite_master WHERE type='index' AND name NOT LIKE 'sqlite_%'")
|
||||||
|
stats["index_count"] = cursor.fetchone()[0]
|
||||||
|
|
||||||
|
# Calculate utilization
|
||||||
|
used_space = stats["database_size_bytes"] - stats["free_space_bytes"]
|
||||||
|
stats["space_utilization_percent"] = (used_space / stats["database_size_bytes"]) * 100 if stats["database_size_bytes"] > 0 else 0
|
||||||
|
|
||||||
|
return {
|
||||||
|
"success": True,
|
||||||
|
"stats": stats
|
||||||
|
}
|
||||||
|
except Exception as e:
|
||||||
|
return {
|
||||||
|
"success": False,
|
||||||
|
"error": str(e)
|
||||||
|
}
|
||||||
|
|
||||||
|
# Test with mock connection
|
||||||
|
mock_connection = Mock()
|
||||||
|
mock_cursor = Mock()
|
||||||
|
mock_connection.cursor.return_value = mock_cursor
|
||||||
|
mock_cursor.fetchone.side_effect = [
|
||||||
|
(5,), # table_count
|
||||||
|
(1000,), # page_count
|
||||||
|
(4096,), # page_size
|
||||||
|
(50,), # freelist_count
|
||||||
|
(3,) # index_count
|
||||||
|
]
|
||||||
|
|
||||||
|
result = collect_database_stats(mock_connection)
|
||||||
|
assert result["success"] is True
|
||||||
|
|
||||||
|
stats = result["stats"]
|
||||||
|
assert stats["table_count"] == 5
|
||||||
|
assert stats["database_size_bytes"] == 1000 * 4096
|
||||||
|
assert stats["free_space_bytes"] == 50 * 4096
|
||||||
|
assert stats["index_count"] == 3
|
||||||
|
assert 0 <= stats["space_utilization_percent"] <= 100
|
||||||
|
|
||||||
|
def test_table_specific_stats(self):
|
||||||
|
"""Test collection of table-specific statistics."""
|
||||||
|
def collect_table_stats(connection, table_name):
|
||||||
|
"""Collect statistics for a specific table."""
|
||||||
|
try:
|
||||||
|
cursor = connection.cursor()
|
||||||
|
|
||||||
|
# Get row count
|
||||||
|
cursor.execute(f"SELECT COUNT(*) FROM {table_name}")
|
||||||
|
row_count = cursor.fetchone()[0]
|
||||||
|
|
||||||
|
# Get table info
|
||||||
|
cursor.execute(f"PRAGMA table_info({table_name})")
|
||||||
|
columns = cursor.fetchall()
|
||||||
|
column_count = len(columns)
|
||||||
|
|
||||||
|
# Get table size (approximate)
|
||||||
|
cursor.execute(f"SELECT name FROM sqlite_master WHERE type='table' AND name='{table_name}'")
|
||||||
|
if cursor.fetchone():
|
||||||
|
# Table exists, calculate approximate size
|
||||||
|
# This is simplified - real implementation would be more complex
|
||||||
|
estimated_size = row_count * column_count * 100 # Rough estimate
|
||||||
|
else:
|
||||||
|
estimated_size = 0
|
||||||
|
|
||||||
|
return {
|
||||||
|
"table_name": table_name,
|
||||||
|
"row_count": row_count,
|
||||||
|
"column_count": column_count,
|
||||||
|
"estimated_size_bytes": estimated_size,
|
||||||
|
"columns": [col[1] for col in columns] # Column names
|
||||||
|
}
|
||||||
|
except Exception as e:
|
||||||
|
return {
|
||||||
|
"error": str(e),
|
||||||
|
"table_name": table_name
|
||||||
|
}
|
||||||
|
|
||||||
|
# Test with mock connection
|
||||||
|
mock_connection = Mock()
|
||||||
|
mock_cursor = Mock()
|
||||||
|
mock_connection.cursor.return_value = mock_cursor
|
||||||
|
mock_cursor.fetchone.side_effect = [
|
||||||
|
(1000,), # row count
|
||||||
|
("anime",) # table exists
|
||||||
|
]
|
||||||
|
mock_cursor.fetchall.return_value = [
|
||||||
|
(0, "id", "INTEGER", 0, None, 1),
|
||||||
|
(1, "title", "TEXT", 0, None, 0),
|
||||||
|
(2, "genre", "TEXT", 0, None, 0)
|
||||||
|
]
|
||||||
|
|
||||||
|
result = collect_table_stats(mock_connection, "anime")
|
||||||
|
assert result["table_name"] == "anime"
|
||||||
|
assert result["row_count"] == 1000
|
||||||
|
assert result["column_count"] == 3
|
||||||
|
assert "columns" in result
|
||||||
|
assert "id" in result["columns"]
|
||||||
|
|
||||||
|
|
||||||
|
@pytest.mark.unit
|
||||||
|
class TestDatabaseOptimization:
|
||||||
|
"""Test database optimization logic."""
|
||||||
|
|
||||||
|
def test_optimization_recommendations(self):
|
||||||
|
"""Test generation of database optimization recommendations."""
|
||||||
|
def generate_optimization_recommendations(stats):
|
||||||
|
"""Generate optimization recommendations based on stats."""
|
||||||
|
recommendations = []
|
||||||
|
|
||||||
|
# Check space utilization
|
||||||
|
if stats.get("space_utilization_percent", 100) < 70:
|
||||||
|
recommendations.append({
|
||||||
|
"type": "vacuum",
|
||||||
|
"priority": "medium",
|
||||||
|
"description": "Database has significant free space, consider running VACUUM",
|
||||||
|
"estimated_benefit": "Reduce database file size"
|
||||||
|
})
|
||||||
|
|
||||||
|
# Check if analyze is needed (simplified check)
|
||||||
|
if stats.get("table_count", 0) > 0:
|
||||||
|
recommendations.append({
|
||||||
|
"type": "analyze",
|
||||||
|
"priority": "low",
|
||||||
|
"description": "Update table statistics for better query planning",
|
||||||
|
"estimated_benefit": "Improve query performance"
|
||||||
|
})
|
||||||
|
|
||||||
|
# Check index count vs table count ratio
|
||||||
|
table_count = stats.get("table_count", 0)
|
||||||
|
index_count = stats.get("index_count", 0)
|
||||||
|
|
||||||
|
if table_count > 0 and (index_count / table_count) < 1:
|
||||||
|
recommendations.append({
|
||||||
|
"type": "indexing",
|
||||||
|
"priority": "medium",
|
||||||
|
"description": "Some tables may benefit from additional indexes",
|
||||||
|
"estimated_benefit": "Faster query execution"
|
||||||
|
})
|
||||||
|
|
||||||
|
return recommendations
|
||||||
|
|
||||||
|
# Test with stats indicating need for vacuum
|
||||||
|
stats = {
|
||||||
|
"table_count": 5,
|
||||||
|
"index_count": 3,
|
||||||
|
"space_utilization_percent": 60
|
||||||
|
}
|
||||||
|
|
||||||
|
recommendations = generate_optimization_recommendations(stats)
|
||||||
|
assert len(recommendations) >= 2
|
||||||
|
|
||||||
|
vacuum_rec = next((r for r in recommendations if r["type"] == "vacuum"), None)
|
||||||
|
assert vacuum_rec is not None
|
||||||
|
assert vacuum_rec["priority"] == "medium"
|
||||||
|
|
||||||
|
# Test with well-optimized database
|
||||||
|
optimized_stats = {
|
||||||
|
"table_count": 5,
|
||||||
|
"index_count": 8,
|
||||||
|
"space_utilization_percent": 95
|
||||||
|
}
|
||||||
|
|
||||||
|
recommendations = generate_optimization_recommendations(optimized_stats)
|
||||||
|
# Should still recommend analyze, but not vacuum
|
||||||
|
vacuum_rec = next((r for r in recommendations if r["type"] == "vacuum"), None)
|
||||||
|
assert vacuum_rec is None
|
||||||
|
|
||||||
|
def test_maintenance_scheduler(self):
|
||||||
|
"""Test maintenance operation scheduling logic."""
|
||||||
|
def should_run_maintenance(operation_type, last_run_timestamp, current_timestamp):
|
||||||
|
"""Determine if maintenance operation should run."""
|
||||||
|
intervals = {
|
||||||
|
"analyze": 24 * 3600, # 24 hours
|
||||||
|
"vacuum": 7 * 24 * 3600, # 7 days
|
||||||
|
"integrity_check": 30 * 24 * 3600, # 30 days
|
||||||
|
"reindex": 30 * 24 * 3600 # 30 days
|
||||||
|
}
|
||||||
|
|
||||||
|
if operation_type not in intervals:
|
||||||
|
return False
|
||||||
|
|
||||||
|
if last_run_timestamp is None:
|
||||||
|
return True # Never run before
|
||||||
|
|
||||||
|
time_since_last = current_timestamp - last_run_timestamp
|
||||||
|
return time_since_last >= intervals[operation_type]
|
||||||
|
|
||||||
|
current_time = 1000000
|
||||||
|
|
||||||
|
# Test never run before
|
||||||
|
assert should_run_maintenance("analyze", None, current_time) is True
|
||||||
|
|
||||||
|
# Test recent run
|
||||||
|
recent_run = current_time - (12 * 3600) # 12 hours ago
|
||||||
|
assert should_run_maintenance("analyze", recent_run, current_time) is False
|
||||||
|
|
||||||
|
# Test old run
|
||||||
|
old_run = current_time - (25 * 3600) # 25 hours ago
|
||||||
|
assert should_run_maintenance("analyze", old_run, current_time) is True
|
||||||
|
|
||||||
|
# Test vacuum timing
|
||||||
|
week_ago = current_time - (8 * 24 * 3600) # 8 days ago
|
||||||
|
assert should_run_maintenance("vacuum", week_ago, current_time) is True
|
||||||
|
|
||||||
|
day_ago = current_time - (24 * 3600) # 1 day ago
|
||||||
|
assert should_run_maintenance("vacuum", day_ago, current_time) is False
|
||||||
Loading…
x
Reference in New Issue
Block a user