Files
taylanbakircioglu 64d42663cd fix(agent): stop installer self-kill in pre-installation cleanup (v1.8.4)
The Linux/macOS agent installer could abort during "pre-installation cleanup"
(terminal showed `Killing processes matching: haproxy-agent` then `Killed`,
returning to the prompt) when the install script's own command line contained
"haproxy-agent". The cleanup killed processes via `pgrep -f "$pattern"` starting
with the bare string "haproxy-agent", which also matched the running installer's
own command line and a sudo/PAM ancestor that the $$/$PPID self-exclusion did not
cover, so the installer terminated itself before installing.

- linux_install.sh / macos_install.sh: the cleanup kill loop now targets ONLY
  the installed agent - "$INSTALL_DIR/haproxy-agent" (the daemon binary path) and
  the agent service/label ("haproxy-agent.service" / "com.haproxy.agent") - never
  the bare "haproxy-agent" substring. Neither pattern can match the installer's
  own command line. The redundant bare pattern is dropped (the service is stopped
  separately, and the binary-path pattern still catches a running daemon).
- frontend (AgentManagement.js): name the downloaded scripts
  install-agent-<platform>.sh / uninstall-agent-<platform>.sh (matching the
  backend's suggested filename) - defense in depth so this cannot resurface.

Installer-only change. The running agent and its privilege model are unchanged
(it runs as root for HAProxy reload, config writes, keepalived, and self-upgrade).
The cleanup runs only on a full interactive install (gated by SKIP_TO_DAEMON), so
daemon mode, self-upgrade, and config/version apply are unaffected. Both agent
scripts kept in sync. Scripts parse on bash 4.2-5.2; full backend suite green.

Addresses #31.
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HAProxy Management UI - Unit Tests

Overview

Comprehensive unit test suite for the HAProxy Management UI backend, covering critical business logic and ensuring reliability.

Test Structure

Backend Tests (backend/tests/)

  • test_soft_delete.py - Soft delete functionality and unique constraints
  • test_apply_process.py - Critical apply process that manages entity states
  • test_entity_sync.py - Entity-specific agent sync calculations
  • test_haproxy_config.py - HAProxy configuration generation
  • test_auth.py - Authentication and authorization

Frontend Tests (frontend/src/components/__tests__/)

  • EntitySyncStatus.test.js - Agent sync status component
  • ApplyManagement.test.js - Apply management workflow
  • SSLManagement.test.js - SSL certificate management

Running Tests

Backend Tests

# Install test dependencies
pip install -r backend/requirements-test.txt

# Run all tests
pytest

# Run specific test file
pytest backend/tests/test_apply_process.py

# Run with coverage
pytest --cov=backend --cov-report=html

# Run specific test
pytest backend/tests/test_soft_delete.py::TestSoftDeleteUniqueConstraints::test_backend_soft_delete_allows_name_reuse

Frontend Tests

# Run all frontend tests
npm test

# Run with coverage
npm run test:coverage

# Run in CI mode
npm run test:ci

Test Coverage Goals

  • Backend: 70% minimum coverage
  • Frontend: 70% minimum coverage
  • Critical paths: 90%+ coverage (apply process, soft delete, entity sync)

Critical Test Areas

🔴 HIGH PRIORITY

  1. Apply Process - Prevents entity disappearance bugs
  2. Soft Delete Logic - Ensures proper unique constraint handling
  3. Entity Sync Calculations - Agent sync status accuracy
  4. Authentication/Authorization - Security validation

🟡 MEDIUM PRIORITY

  1. HAProxy Config Generation - Configuration correctness
  2. SSL Management - Certificate lifecycle
  3. Form Validations - Input validation

🟢 LOW PRIORITY

  1. UI Components - Visual behavior
  2. Utility Functions - Helper functions

Mock Strategy

Backend Mocking

  • Database connections: AsyncMock for database operations
  • External APIs: Mock HTTP calls
  • File operations: Mock file system access

Frontend Mocking

  • API calls: Mock axios requests
  • Ant Design components: Mock component behavior
  • Context providers: Mock React contexts

Test Data

All tests use consistent mock data from conftest.py:

  • Sample clusters, backends, frontends
  • Mock users and authentication
  • Config versions and SSL certificates

Debugging Tests

# Run with verbose output
pytest -v -s

# Run specific failing test
pytest backend/tests/test_apply_process.py::TestApplyProcess::test_apply_process_preserves_active_entities -v -s

# Drop into debugger on failure
pytest --pdb

Integration with CI/CD

Tests are designed to run in Azure DevOps pipeline:

# Example pipeline step
- script: |
    pip install -r backend/requirements-test.txt
    pytest --cov=backend --cov-report=xml
  displayName: 'Run Backend Tests'

- script: |
    npm ci
    npm run test:ci
  displayName: 'Run Frontend Tests'

Adding New Tests

  1. Follow naming convention: test_*.py for backend, *.test.js for frontend
  2. Use appropriate fixtures: Leverage existing mock data
  3. Test edge cases: Include error scenarios and boundary conditions
  4. Update coverage: Ensure new code maintains coverage thresholds

Common Issues

Backend

  • Async tests: Use @pytest.mark.asyncio decorator
  • Database mocking: Ensure proper mock setup for database operations
  • Import paths: Use relative imports for testable modules

Frontend

  • Component rendering: Wait for async operations with waitFor
  • Event simulation: Use fireEvent for user interactions
  • Mock cleanup: Clear mocks between tests with jest.clearAllMocks()

Test Philosophy

These tests focus on:

  • Business logic correctness over implementation details
  • Critical path coverage over 100% coverage
  • Regression prevention based on actual bugs encountered
  • Maintainability with clear, readable test cases

The test suite is designed to catch the types of bugs we've actually encountered in production, particularly around the apply process and soft delete behavior.


Test deployment trigger - $(date)