Major documentation overhaul: Transform to Python/FastAPI web application
This comprehensive update transforms Job Forge from a generic MVP concept to a production-ready Python/FastAPI web application prototype with complete documentation, testing infrastructure, and deployment procedures. ## 🏗️ Architecture Changes - Updated all documentation to reflect Python/FastAPI + Dash + PostgreSQL stack - Transformed from MVP concept to deployable web application prototype - Added comprehensive multi-tenant architecture with Row Level Security (RLS) - Integrated Claude API and OpenAI API for AI-powered document generation ## 📚 Documentation Overhaul - **CLAUDE.md**: Complete rewrite as project orchestrator for 4 specialized agents - **README.md**: New centralized documentation hub with organized navigation - **API Specification**: Updated with comprehensive FastAPI endpoint documentation - **Database Design**: Enhanced schema with RLS policies and performance optimization - **Architecture Guide**: Transformed to web application focus with deployment strategy ## 🏗️ New Documentation Structure - **docs/development/**: Python/FastAPI coding standards and development guidelines - **docs/infrastructure/**: Docker setup and server deployment procedures - **docs/testing/**: Comprehensive QA procedures with pytest integration - **docs/ai/**: AI prompt templates and examples (preserved from original) ## 🎯 Team Structure Updates - **.claude/agents/**: 4 new Python/FastAPI specialized agents - simplified_technical_lead.md: Architecture and technical guidance - fullstack_developer.md: FastAPI backend + Dash frontend implementation - simplified_qa.md: pytest testing and quality assurance - simplified_devops.md: Docker deployment and server infrastructure ## 🧪 Testing Infrastructure - **pytest.ini**: Complete pytest configuration with coverage requirements - **tests/conftest.py**: Comprehensive test fixtures and database setup - **tests/unit/**: Example unit tests for auth and application services - **tests/integration/**: API integration test examples - Support for async testing, AI service mocking, and database testing ## 🧹 Cleanup - Removed 9 duplicate/outdated documentation files - Eliminated conflicting technology references (Node.js/TypeScript) - Consolidated overlapping content into comprehensive guides - Cleaned up project structure for professional development workflow ## 🚀 Production Ready Features - Docker containerization for development and production - Server deployment procedures for prototype hosting - Security best practices with JWT authentication and RLS - Performance optimization with database indexing and caching - Comprehensive testing strategy with quality gates This update establishes Job Forge as a professional Python/FastAPI web application prototype ready for development and deployment. 🤖 Generated with Claude Code (https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com>
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docs/testing/qa_procedures.md
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# QA Procedures - Job Forge
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## Overview
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This document outlines the Quality Assurance procedures for Job Forge, including testing strategies, quality gates, bug reporting, and release validation processes.
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## Testing Strategy
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### Test Pyramid for Job Forge
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```
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/\ E2E Tests (10%)
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/ \ - Critical user workflows
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/____\ - Cross-browser testing
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/ \ Integration Tests (20%)
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/ \ - API endpoint testing
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\ / - Database RLS validation
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\______/ - AI service integration
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\ / Unit Tests (70%)
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\ / - Business logic
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\/ - Authentication
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- Data validation
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```
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### 1. Unit Testing (70% of tests)
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#### Test Categories
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- **Authentication & Security**: Login, JWT tokens, password hashing
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- **Business Logic**: Application CRUD operations, status transitions
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- **Data Validation**: Pydantic model validation, input sanitization
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- **AI Integration**: Service mocking, error handling, rate limiting
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- **Database Operations**: RLS policies, query optimization
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#### Running Unit Tests
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```bash
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# Run all unit tests
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pytest tests/unit/ -v
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# Run specific test file
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pytest tests/unit/test_auth_service.py -v
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# Run with coverage
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pytest tests/unit/ --cov=app --cov-report=html
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# Run tests matching pattern
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pytest -k "test_auth" -v
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```
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#### Unit Test Example
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```python
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# tests/unit/test_application_service.py
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import pytest
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from unittest.mock import AsyncMock
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@pytest.mark.asyncio
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async def test_create_application_with_ai_generation(test_db, test_user, mock_claude_service):
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"""Test application creation with AI cover letter generation."""
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# Arrange
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mock_claude_service.generate_cover_letter.return_value = "Generated cover letter"
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app_data = ApplicationCreate(
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company_name="AI Corp",
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role_title="ML Engineer",
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job_description="Python ML position",
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status="draft"
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)
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# Act
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with patch('app.services.ai.claude_service.ClaudeService', return_value=mock_claude_service):
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application = await create_application(test_db, app_data, test_user.id)
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# Assert
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assert application.company_name == "AI Corp"
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assert application.cover_letter == "Generated cover letter"
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mock_claude_service.generate_cover_letter.assert_called_once()
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```
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### 2. Integration Testing (20% of tests)
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#### Test Categories
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- **API Integration**: Full request/response testing with authentication
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- **Database Integration**: Multi-tenant isolation, RLS policy validation
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- **AI Service Integration**: Real API calls with mocking strategies
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- **Service Layer Integration**: Complete workflow testing
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#### Running Integration Tests
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```bash
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# Run integration tests
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pytest tests/integration/ -v
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# Run with test database
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pytest tests/integration/ --db-url=postgresql://test:test@localhost:5432/jobforge_test
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# Run specific integration test
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pytest tests/integration/test_api_auth.py::TestAuthenticationEndpoints::test_complete_registration_flow -v
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```
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#### Integration Test Example
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```python
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# tests/integration/test_api_applications.py
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@pytest.mark.asyncio
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async def test_complete_application_workflow(async_client, test_user_token):
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"""Test complete application workflow from creation to update."""
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headers = {"Authorization": f"Bearer {test_user_token}"}
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# 1. Create application
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app_data = {
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"company_name": "Integration Test Corp",
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"role_title": "Software Engineer",
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"job_description": "Full-stack developer position",
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"status": "draft"
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}
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create_response = await async_client.post(
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"/api/v1/applications/",
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json=app_data,
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headers=headers
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)
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assert create_response.status_code == 201
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app_id = create_response.json()["id"]
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# 2. Get application
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get_response = await async_client.get(
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f"/api/v1/applications/{app_id}",
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headers=headers
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)
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assert get_response.status_code == 200
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# 3. Update application status
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update_response = await async_client.put(
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f"/api/v1/applications/{app_id}",
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json={"status": "applied"},
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headers=headers
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)
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assert update_response.status_code == 200
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assert update_response.json()["status"] == "applied"
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```
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### 3. End-to-End Testing (10% of tests)
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#### Test Categories
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- **Critical User Journeys**: Registration → Login → Create Application → Generate Cover Letter
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- **Cross-browser Compatibility**: Chrome, Firefox, Safari, Edge
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- **Performance Testing**: Response times, concurrent users
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- **Error Scenario Testing**: Network failures, service outages
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#### E2E Test Tools Setup
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```bash
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# Install Playwright for E2E testing
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pip install playwright
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playwright install
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# Run E2E tests
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pytest tests/e2e/ -v --headed # With browser UI
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pytest tests/e2e/ -v # Headless mode
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```
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#### E2E Test Example
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```python
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# tests/e2e/test_user_workflows.py
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import pytest
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from playwright.async_api import async_playwright
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@pytest.mark.asyncio
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async def test_complete_user_journey():
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"""Test complete user journey from registration to application creation."""
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async with async_playwright() as p:
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browser = await p.chromium.launch()
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page = await browser.new_page()
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try:
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# 1. Navigate to registration
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await page.goto("http://localhost:8000/register")
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# 2. Fill registration form
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await page.fill('[data-testid="email-input"]', 'e2e@test.com')
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await page.fill('[data-testid="password-input"]', 'E2EPassword123!')
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await page.fill('[data-testid="first-name-input"]', 'E2E')
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await page.fill('[data-testid="last-name-input"]', 'User')
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# 3. Submit registration
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await page.click('[data-testid="register-button"]')
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# 4. Verify redirect to dashboard
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await page.wait_for_url("**/dashboard")
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# 5. Create application
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await page.click('[data-testid="new-application-button"]')
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await page.fill('[data-testid="company-input"]', 'E2E Test Corp')
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await page.fill('[data-testid="role-input"]', 'Test Engineer')
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# 6. Submit application
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await page.click('[data-testid="save-application-button"]')
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# 7. Verify application appears
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await page.wait_for_selector('[data-testid="application-card"]')
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# 8. Verify application details
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company_text = await page.text_content('[data-testid="company-name"]')
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assert company_text == "E2E Test Corp"
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finally:
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await browser.close()
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```
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## Quality Gates
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### 1. Code Quality Gates
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#### Pre-commit Hooks
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```bash
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# Install pre-commit hooks
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pip install pre-commit
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pre-commit install
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# Run hooks manually
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pre-commit run --all-files
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```
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#### .pre-commit-config.yaml
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```yaml
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repos:
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- repo: https://github.com/psf/black
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rev: 23.7.0
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hooks:
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- id: black
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language_version: python3.12
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- repo: https://github.com/charliermarsh/ruff-pre-commit
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rev: v0.0.284
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hooks:
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- id: ruff
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args: [--fix, --exit-non-zero-on-fix]
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- repo: https://github.com/pre-commit/mirrors-mypy
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rev: v1.5.1
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hooks:
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- id: mypy
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additional_dependencies: [pydantic, sqlalchemy]
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- repo: https://github.com/pre-commit/pre-commit-hooks
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rev: v4.4.0
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hooks:
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- id: trailing-whitespace
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- id: end-of-file-fixer
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- id: check-yaml
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- id: check-added-large-files
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```
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#### Quality Metrics Thresholds
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```bash
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# Code coverage minimum: 80%
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pytest --cov=app --cov-fail-under=80
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# Complexity maximum: 10
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ruff check --select=C901
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# Type coverage minimum: 90%
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mypy app/ --strict
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```
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### 2. Functional Quality Gates
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#### API Response Time Requirements
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- **Authentication endpoints**: < 200ms
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- **CRUD operations**: < 500ms
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- **AI generation endpoints**: < 30 seconds
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- **Dashboard loading**: < 2 seconds
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#### Reliability Requirements
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- **Uptime**: > 99% during testing
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- **Error rate**: < 1% for non-AI operations
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- **AI service fallback**: Must handle service failures gracefully
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### 3. Security Quality Gates
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#### Security Testing Checklist
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```yaml
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authentication_security:
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- [ ] JWT tokens expire correctly
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- [ ] Password hashing is secure (bcrypt)
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- [ ] Session management is stateless
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- [ ] Rate limiting prevents brute force
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authorization_security:
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- [ ] RLS policies enforce user isolation
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- [ ] API endpoints require proper authentication
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- [ ] Users cannot access other users' data
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- [ ] Admin endpoints are properly protected
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input_validation:
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- [ ] All API inputs are validated
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- [ ] SQL injection prevention works
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- [ ] XSS prevention is implemented
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- [ ] File upload validation is secure
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data_protection:
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- [ ] Sensitive data is encrypted
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- [ ] API keys are properly secured
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- [ ] Environment variables contain no secrets
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- [ ] Database connections are secure
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```
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## Bug Reporting and Management
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### 1. Bug Classification
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#### Severity Levels
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- **Critical**: Application crashes, data loss, security vulnerabilities
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- **High**: Major features not working, authentication failures
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- **Medium**: Minor features broken, UI issues, performance problems
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- **Low**: Cosmetic issues, minor improvements, documentation errors
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#### Priority Levels
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- **P0**: Fix immediately (< 2 hours)
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- **P1**: Fix within 24 hours
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- **P2**: Fix within 1 week
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- **P3**: Fix in next release cycle
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||||
|
||||
### 2. Bug Report Template
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||||
|
||||
#### GitHub Issue Template
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```markdown
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## Bug Report
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||||
|
||||
### Summary
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||||
Brief description of the bug
|
||||
|
||||
### Environment
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||||
- **OS**: macOS 14.0 / Windows 11 / Ubuntu 22.04
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- **Browser**: Chrome 118.0 / Firefox 119.0 / Safari 17.0
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- **Python Version**: 3.12.0
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- **FastAPI Version**: 0.104.1
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|
||||
### Steps to Reproduce
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1. Go to '...'
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2. Click on '...'
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3. Enter data '...'
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4. See error
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|
||||
### Expected Behavior
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What should happen
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|
||||
### Actual Behavior
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What actually happens
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|
||||
### Screenshots/Logs
|
||||
```
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Error logs or screenshots
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||||
```
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||||
|
||||
### Additional Context
|
||||
Any other context about the problem
|
||||
|
||||
### Severity/Priority
|
||||
- [ ] Critical
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||||
- [ ] High
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||||
- [ ] Medium
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||||
- [ ] Low
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```
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||||
|
||||
### 3. Bug Triage Process
|
||||
|
||||
#### Weekly Bug Triage Meeting
|
||||
1. **Review new bugs**: Assign severity and priority
|
||||
2. **Update existing bugs**: Check progress and blockers
|
||||
3. **Close resolved bugs**: Verify fixes and close tickets
|
||||
4. **Plan bug fixes**: Assign to sprints based on priority
|
||||
|
||||
#### Bug Assignment Criteria
|
||||
- **Critical/P0**: Technical Lead + DevOps
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||||
- **High/P1**: Full-stack Developer
|
||||
- **Medium/P2**: QA Engineer + Developer collaboration
|
||||
- **Low/P3**: Next available developer
|
||||
|
||||
## Test Data Management
|
||||
|
||||
### 1. Test Data Strategy
|
||||
|
||||
#### Test Database Setup
|
||||
```bash
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# Create test database
|
||||
createdb jobforge_test
|
||||
|
||||
# Run test migrations
|
||||
DATABASE_URL=postgresql://test:test@localhost/jobforge_test alembic upgrade head
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||||
|
||||
# Seed test data
|
||||
python scripts/seed_test_data.py
|
||||
```
|
||||
|
||||
#### Test Data Factory
|
||||
```python
|
||||
# tests/factories.py
|
||||
import factory
|
||||
from app.models.user import User
|
||||
from app.models.application import Application
|
||||
|
||||
class UserFactory(factory.Factory):
|
||||
class Meta:
|
||||
model = User
|
||||
|
||||
email = factory.Sequence(lambda n: f"user{n}@test.com")
|
||||
password_hash = "$2b$12$hash"
|
||||
first_name = "Test"
|
||||
last_name = factory.Sequence(lambda n: f"User{n}")
|
||||
|
||||
class ApplicationFactory(factory.Factory):
|
||||
class Meta:
|
||||
model = Application
|
||||
|
||||
company_name = factory.Faker('company')
|
||||
role_title = factory.Faker('job')
|
||||
job_description = factory.Faker('text', max_nb_chars=500)
|
||||
status = "draft"
|
||||
user = factory.SubFactory(UserFactory)
|
||||
```
|
||||
|
||||
### 2. Test Environment Management
|
||||
|
||||
#### Environment Isolation
|
||||
```yaml
|
||||
# docker-compose.test.yml
|
||||
version: '3.8'
|
||||
|
||||
services:
|
||||
test-db:
|
||||
image: pgvector/pgvector:pg16
|
||||
environment:
|
||||
- POSTGRES_DB=jobforge_test
|
||||
- POSTGRES_USER=test
|
||||
- POSTGRES_PASSWORD=test
|
||||
ports:
|
||||
- "5433:5432"
|
||||
tmpfs:
|
||||
- /var/lib/postgresql/data # In-memory for speed
|
||||
|
||||
test-app:
|
||||
build: .
|
||||
environment:
|
||||
- DATABASE_URL=postgresql://test:test@test-db:5432/jobforge_test
|
||||
- TESTING=true
|
||||
depends_on:
|
||||
- test-db
|
||||
```
|
||||
|
||||
#### Test Data Cleanup
|
||||
```python
|
||||
# tests/conftest.py
|
||||
@pytest.fixture(autouse=True)
|
||||
async def cleanup_test_data(test_db):
|
||||
"""Clean up test data after each test."""
|
||||
yield
|
||||
|
||||
# Truncate all tables
|
||||
await test_db.execute("TRUNCATE TABLE applications CASCADE")
|
||||
await test_db.execute("TRUNCATE TABLE users CASCADE")
|
||||
await test_db.commit()
|
||||
```
|
||||
|
||||
## Performance Testing
|
||||
|
||||
### 1. Load Testing with Locust
|
||||
|
||||
#### Installation and Setup
|
||||
```bash
|
||||
# Install locust
|
||||
pip install locust
|
||||
|
||||
# Run load tests
|
||||
locust -f tests/performance/locustfile.py --host=http://localhost:8000
|
||||
```
|
||||
|
||||
#### Load Test Example
|
||||
```python
|
||||
# tests/performance/locustfile.py
|
||||
from locust import HttpUser, task, between
|
||||
import json
|
||||
|
||||
class JobForgeUser(HttpUser):
|
||||
wait_time = between(1, 3)
|
||||
|
||||
def on_start(self):
|
||||
"""Login user on start."""
|
||||
response = self.client.post("/api/auth/login", data={
|
||||
"username": "test@example.com",
|
||||
"password": "testpass123"
|
||||
})
|
||||
|
||||
if response.status_code == 200:
|
||||
self.token = response.json()["access_token"]
|
||||
self.headers = {"Authorization": f"Bearer {self.token}"}
|
||||
|
||||
@task(3)
|
||||
def get_applications(self):
|
||||
"""Get user applications."""
|
||||
self.client.get("/api/v1/applications/", headers=self.headers)
|
||||
|
||||
@task(1)
|
||||
def create_application(self):
|
||||
"""Create new application."""
|
||||
app_data = {
|
||||
"company_name": "Load Test Corp",
|
||||
"role_title": "Test Engineer",
|
||||
"job_description": "Performance testing position",
|
||||
"status": "draft"
|
||||
}
|
||||
|
||||
self.client.post(
|
||||
"/api/v1/applications/",
|
||||
json=app_data,
|
||||
headers=self.headers
|
||||
)
|
||||
|
||||
@task(1)
|
||||
def generate_cover_letter(self):
|
||||
"""Generate AI cover letter (expensive operation)."""
|
||||
# Get first application
|
||||
response = self.client.get("/api/v1/applications/", headers=self.headers)
|
||||
|
||||
if response.status_code == 200:
|
||||
applications = response.json()
|
||||
if applications:
|
||||
app_id = applications[0]["id"]
|
||||
self.client.post(
|
||||
f"/api/v1/applications/{app_id}/generate-cover-letter",
|
||||
headers=self.headers
|
||||
)
|
||||
```
|
||||
|
||||
### 2. Performance Benchmarks
|
||||
|
||||
#### Response Time Targets
|
||||
```python
|
||||
# tests/performance/test_benchmarks.py
|
||||
import pytest
|
||||
import time
|
||||
import statistics
|
||||
|
||||
@pytest.mark.performance
|
||||
@pytest.mark.asyncio
|
||||
async def test_api_response_times(async_client, test_user_token):
|
||||
"""Test API response time benchmarks."""
|
||||
|
||||
headers = {"Authorization": f"Bearer {test_user_token}"}
|
||||
|
||||
# Test multiple requests
|
||||
response_times = []
|
||||
for _ in range(50):
|
||||
start_time = time.time()
|
||||
|
||||
response = await async_client.get("/api/v1/applications/", headers=headers)
|
||||
assert response.status_code == 200
|
||||
|
||||
response_time = (time.time() - start_time) * 1000 # Convert to ms
|
||||
response_times.append(response_time)
|
||||
|
||||
# Analyze results
|
||||
avg_time = statistics.mean(response_times)
|
||||
p95_time = statistics.quantiles(response_times, n=20)[18] # 95th percentile
|
||||
|
||||
# Assert performance requirements
|
||||
assert avg_time < 200, f"Average response time {avg_time}ms exceeds 200ms limit"
|
||||
assert p95_time < 500, f"95th percentile {p95_time}ms exceeds 500ms limit"
|
||||
|
||||
print(f"Average response time: {avg_time:.2f}ms")
|
||||
print(f"95th percentile: {p95_time:.2f}ms")
|
||||
```
|
||||
|
||||
## Release Testing Procedures
|
||||
|
||||
### 1. Pre-Release Testing Checklist
|
||||
|
||||
#### Functional Testing
|
||||
```yaml
|
||||
authentication_testing:
|
||||
- [ ] User registration works
|
||||
- [ ] User login/logout works
|
||||
- [ ] JWT token validation works
|
||||
- [ ] Password reset works (if implemented)
|
||||
|
||||
application_management:
|
||||
- [ ] Create application works
|
||||
- [ ] View applications works
|
||||
- [ ] Update application works
|
||||
- [ ] Delete application works
|
||||
- [ ] Application status transitions work
|
||||
|
||||
ai_integration:
|
||||
- [ ] Cover letter generation works
|
||||
- [ ] AI service error handling works
|
||||
- [ ] Rate limiting is enforced
|
||||
- [ ] Fallback mechanisms work
|
||||
|
||||
data_security:
|
||||
- [ ] User data isolation works
|
||||
- [ ] RLS policies are enforced
|
||||
- [ ] No data leakage between users
|
||||
- [ ] Sensitive data is protected
|
||||
```
|
||||
|
||||
#### Cross-Browser Testing
|
||||
```yaml
|
||||
browsers_to_test:
|
||||
chrome:
|
||||
- [ ] Latest version
|
||||
- [ ] Previous major version
|
||||
firefox:
|
||||
- [ ] Latest version
|
||||
- [ ] ESR version
|
||||
safari:
|
||||
- [ ] Latest version (macOS/iOS)
|
||||
edge:
|
||||
- [ ] Latest version
|
||||
|
||||
mobile_testing:
|
||||
- [ ] iOS Safari
|
||||
- [ ] Android Chrome
|
||||
- [ ] Responsive design works
|
||||
- [ ] Touch interactions work
|
||||
```
|
||||
|
||||
### 2. Release Validation Process
|
||||
|
||||
#### Staging Environment Testing
|
||||
```bash
|
||||
# Deploy to staging
|
||||
docker-compose -f docker-compose.staging.yml up -d
|
||||
|
||||
# Run full test suite against staging
|
||||
pytest tests/ --base-url=https://staging.jobforge.com
|
||||
|
||||
# Run smoke tests
|
||||
pytest tests/smoke/ -v
|
||||
|
||||
# Performance testing
|
||||
locust -f tests/performance/locustfile.py --host=https://staging.jobforge.com --users=50 --spawn-rate=5 --run-time=5m
|
||||
```
|
||||
|
||||
#### Production Deployment Checklist
|
||||
```yaml
|
||||
pre_deployment:
|
||||
- [ ] All tests passing in CI/CD
|
||||
- [ ] Code review completed
|
||||
- [ ] Database migrations tested
|
||||
- [ ] Environment variables updated
|
||||
- [ ] SSL certificates valid
|
||||
- [ ] Backup created
|
||||
|
||||
deployment:
|
||||
- [ ] Deploy with zero downtime
|
||||
- [ ] Health checks passing
|
||||
- [ ] Database migrations applied
|
||||
- [ ] Cache cleared if needed
|
||||
- [ ] CDN updated if needed
|
||||
|
||||
post_deployment:
|
||||
- [ ] Smoke tests passing
|
||||
- [ ] Performance metrics normal
|
||||
- [ ] Error rates acceptable
|
||||
- [ ] User workflows tested
|
||||
- [ ] Rollback plan ready
|
||||
```
|
||||
|
||||
## Continuous Testing Integration
|
||||
|
||||
### 1. CI/CD Pipeline Testing
|
||||
|
||||
#### GitHub Actions Workflow
|
||||
```yaml
|
||||
# .github/workflows/test.yml
|
||||
name: Test Suite
|
||||
|
||||
on:
|
||||
push:
|
||||
branches: [main, develop]
|
||||
pull_request:
|
||||
branches: [main]
|
||||
|
||||
jobs:
|
||||
test:
|
||||
runs-on: ubuntu-latest
|
||||
|
||||
services:
|
||||
postgres:
|
||||
image: pgvector/pgvector:pg16
|
||||
env:
|
||||
POSTGRES_PASSWORD: test
|
||||
POSTGRES_DB: jobforge_test
|
||||
options: >-
|
||||
--health-cmd pg_isready
|
||||
--health-interval 10s
|
||||
--health-timeout 5s
|
||||
--health-retries 5
|
||||
|
||||
steps:
|
||||
- uses: actions/checkout@v4
|
||||
|
||||
- name: Set up Python
|
||||
uses: actions/setup-python@v4
|
||||
with:
|
||||
python-version: '3.12'
|
||||
|
||||
- name: Install dependencies
|
||||
run: |
|
||||
pip install -r requirements.txt
|
||||
pip install -r requirements-dev.txt
|
||||
|
||||
- name: Run linting
|
||||
run: |
|
||||
black --check .
|
||||
ruff check .
|
||||
mypy app/
|
||||
|
||||
- name: Run tests
|
||||
run: |
|
||||
pytest tests/unit/ tests/integration/ --cov=app --cov-report=xml
|
||||
env:
|
||||
DATABASE_URL: postgresql://postgres:test@localhost:5432/jobforge_test
|
||||
|
||||
- name: Upload coverage
|
||||
uses: codecov/codecov-action@v3
|
||||
with:
|
||||
file: ./coverage.xml
|
||||
```
|
||||
|
||||
### 2. Quality Metrics Dashboard
|
||||
|
||||
#### Test Results Tracking
|
||||
```python
|
||||
# scripts/generate_test_report.py
|
||||
import json
|
||||
import subprocess
|
||||
from datetime import datetime
|
||||
|
||||
def generate_test_report():
|
||||
"""Generate comprehensive test report."""
|
||||
|
||||
# Run tests with JSON output
|
||||
result = subprocess.run([
|
||||
'pytest', 'tests/', '--json-report', '--json-report-file=test_report.json'
|
||||
], capture_output=True, text=True)
|
||||
|
||||
# Load test results
|
||||
with open('test_report.json') as f:
|
||||
test_data = json.load(f)
|
||||
|
||||
# Generate summary
|
||||
summary = {
|
||||
'timestamp': datetime.now().isoformat(),
|
||||
'total_tests': test_data['summary']['total'],
|
||||
'passed': test_data['summary']['passed'],
|
||||
'failed': test_data['summary']['failed'],
|
||||
'skipped': test_data['summary']['skipped'],
|
||||
'duration': test_data['duration'],
|
||||
'pass_rate': test_data['summary']['passed'] / test_data['summary']['total'] * 100
|
||||
}
|
||||
|
||||
print(f"Test Summary: {summary['passed']}/{summary['total']} passed ({summary['pass_rate']:.1f}%)")
|
||||
return summary
|
||||
|
||||
if __name__ == "__main__":
|
||||
generate_test_report()
|
||||
```
|
||||
|
||||
This comprehensive QA procedure ensures that Job Forge maintains high quality through systematic testing, monitoring, and validation processes.
|
||||
Reference in New Issue
Block a user