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Python Client for Xray Test Management for Jira

Project description

XrayClient

A comprehensive Python client for interacting with Xray Cloud's GraphQL API for test management in Jira. This library provides a robust interface for managing test plans, test executions, test runs, defects, evidence, and other Xray-related operations through GraphQL queries and mutations.

📚 Documentation

✨ Features

  • Jira Integration: Full Jira REST API support for issue management
  • Xray GraphQL API: Complete Xray Cloud GraphQL API integration
  • Test Management: Create and manage test plans, test executions, and test runs
  • Evidence Management: Add attachments and evidence to test runs
  • Defect Management: Create defects from failed test runs
  • Authentication: Secure authentication with both Jira and Xray Cloud
  • Error Handling: Comprehensive error handling and logging
  • Type Hints: Full type annotation support for better development experience
  • Table Parsing: Automatic parsing of tabular data from test plan descriptions
  • File Operations: Download attachments by extension or name
  • Natural Language Processing: Generate JSON from natural language sentences

🚀 Installation

pip install xrayclient

Or install from source:

git clone https://github.com/arusatech/xrayclient.git
cd xrayclient
pip install -e .

⚡ Quick Start

Basic Setup

from xrayclient.xray_client import XrayGraphQL

# Initialize the client
client = XrayGraphQL()

Environment Variables

Create a .env file in your project root with the following variables:

# Jira Configuration
JIRA_SERVER=https://your-instance.atlassian.net
JIRA_USER=your-email@company.com
JIRA_API_KEY=your-jira-api-key

# Xray Cloud Configuration
XRAY_CLIENT_ID=your-xray-client-id
XRAY_CLIENT_SECRET=your-xray-client-secret
XRAY_BASE_URL=https://us.xray.cloud.getxray.app

📖 Usage Examples

Test Plan Operations

# Get all tests from a test plan
test_plan_tests = client.get_tests_from_test_plan("TEST-123")
print(test_plan_tests)
# Output: {'TEST-124': '10001', 'TEST-125': '10002'}

# Get test plan data with parsed tables
test_plan_data = client.get_test_plan_data("TEST-123")
print(test_plan_data)
# Output: {'column1': [1, 2, 3], 'column2': [4.5, 6.7, 8.9]}

Test Execution Management

# Create a test execution from a test plan
test_execution = client.create_test_execution_from_test_plan("TEST-123")
print(test_execution)
# Output: {
#     'TEST-124': {
#         'test_run_id': '5f7c3',
#         'test_execution_key': 'TEST-456',
#         'test_plan_key': 'TEST-123'
#     }
# }

# Create a test execution with specific tests
test_execution = client.create_test_execution(
    test_issue_keys=["TEST-124", "TEST-125"],
    project_key="PROJ",
    summary="Regression Test Execution",
    description="Testing critical features"
)

Test Run Operations

# Get test run status
status, run_id = client.get_test_runstatus("TEST-124", "TEST-456")
print(f"Status: {status}, Run ID: {run_id}")

# Update test run status
success = client.update_test_run_status("test_run_id", "PASS")
print(success)  # True

# Update test run comment
success = client.update_test_run_comment("test_run_id", "Test passed successfully")
print(success)  # True

# Append to existing comment
success = client.append_test_run_comment("test_run_id", "Additional notes")
print(success)  # True

Evidence and Defect Management

# Add evidence to a test run
evidence_added = client.add_evidence_to_test_run("test_run_id", "/path/to/screenshot.png")
print(evidence_added)  # True

# Create a defect from a failed test run
defect = client.create_defect_from_test_run(
    test_run_id="test_run_id",
    project_key="PROJ",
    parent_issue_key="TEST-456",
    defect_summary="Login functionality broken",
    defect_description="Users cannot log in with valid credentials"
)
print(defect)

Test Set Operations

# Get tests from a test set
test_set_tests = client.get_tests_from_test_set("TESTSET-123")
print(test_set_tests)

# Filter test sets by test case
test_sets = client.filter_test_set_by_test_case("TEST-124")
print(test_sets)

# Get tags for a test case
tags = client.filter_tags_by_test_case("TEST-124")
print(tags)

Jira Issue Management

# Create a new Jira issue
issue_key, issue_id = client.create_issue(
    project_key="PROJ",
    summary="New feature implementation",
    description="Implement new login flow",
    issue_type="Story",
    priority="High",
    labels=["feature", "login"],
    attachments=["/path/to/screenshot.png"]
)
print(f"Created issue {issue_key} with ID {issue_id}")

# Get issue details
issue = client.get_issue("PROJ-123", fields=["summary", "status", "assignee"])
print(f"Issue: {issue['summary']} - Status: {issue['status']['name']}")

# Update issue summary
success = client.update_issue_summary("PROJ-123", "Updated summary")
print(success)  # True

Advanced Features

# Download attachments by extension
attachments = client.download_attachment_by_extension("PROJ-123", ".png")

# Download attachments by name
attachments = client.download_attachment_by_name("PROJ-123", "screenshot")

# Generate JSON from natural language
json_data = client.generate_json_from_sentence("Create a test with priority high and assign to john")
print(json_data)

🔧 API Reference

JiraHandler Class

The base class providing Jira REST API functionality.

Methods

  • create_issue(project_key, summary, description, **kwargs) - Create a new Jira issue
  • get_issue(issue_key, fields=None) - Retrieve a Jira issue
  • update_issue_summary(issue_key, new_summary) - Update issue summary
  • make_jira_request(jira_key, url, method, payload, **kwargs) - Make custom Jira requests
  • download_jira_attachment_by_id(attachment_id, mime_type) - Download attachments

XrayGraphQL Class

Extends JiraHandler to provide Xray Cloud GraphQL API functionality.

Authentication & Setup

  • __init__() - Initialize XrayGraphQL client
  • _get_auth_token() - Authenticate with Xray Cloud API
  • _make_graphql_request(query, variables) - Make GraphQL requests

Test Plan Operations

  • get_tests_from_test_plan(test_plan) - Get tests from test plan
  • get_test_plan_data(test_plan) - Get parsed test plan data

Test Set Operations

  • get_tests_from_test_set(test_set) - Get tests from test set
  • filter_test_set_by_test_case(test_key) - Filter test sets by test case
  • filter_tags_by_test_case(test_key) - Get tags for test case

Test Execution Operations

  • get_tests_from_test_execution(test_execution) - Get tests from test execution
  • get_test_execution(test_execution) - Get detailed test execution info
  • create_test_execution(test_issue_keys, project_key, summary, description) - Create test execution
  • create_test_execution_from_test_plan(test_plan) - Create test execution from plan
  • add_test_execution_to_test_plan(test_plan, test_execution) - Add execution to plan

Test Run Operations

  • get_test_runstatus(test_case, test_execution) - Get test run status
  • get_test_run_by_id(test_case_id, test_execution_id) - Get test run by ID
  • update_test_run_status(test_run_id, test_run_status) - Update test run status
  • update_test_run_comment(test_run_id, test_run_comment) - Update test run comment
  • get_test_run_comment(test_run_id) - Get test run comment
  • append_test_run_comment(test_run_id, test_run_comment) - Append to comment

Evidence & Defect Management

  • add_evidence_to_test_run(test_run_id, evidence_path) - Add evidence
  • create_defect_from_test_run(test_run_id, project_key, parent_issue_key, defect_summary, defect_description) - Create defect

File Operations

  • download_attachment_by_extension(issue_key, extension) - Download attachments by file extension
  • download_attachment_by_name(issue_key, filename) - Download attachments by filename

Natural Language Processing

  • generate_json_from_sentence(sentence) - Generate JSON from natural language

📋 Requirements

  • Python >= 3.12
  • jira >= 3.10.5, < 4.0.0
  • jsonpath-nz >= 1.0.6, < 2.0.0
  • requests >= 2.31.0, < 3.0.0
  • spacy >= 3.8.7, < 4.0.0

🛠️ Development

Setup Development Environment

git clone https://github.com/arusatech/xrayclient.git
cd xrayclient
pip install -e ".[dev]"

Running Tests

# Run all tests
pytest

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

# Run specific test categories
pytest -m unit
pytest -m integration
pytest -m slow

Code Quality

The project uses:

  • pytest for testing
  • pytest-cov for coverage reporting
  • pytest-mock for mocking in tests
  • Type hints for better code documentation

🔒 Error Handling

The library implements comprehensive error handling:

  • All methods return None for failed operations instead of raising exceptions
  • Detailed logging for debugging and error tracking
  • Automatic retry logic for transient failures
  • Graceful handling of authentication failures

🔐 Security

  • Uses environment variables for sensitive configuration
  • Supports API key authentication for both Jira and Xray
  • Implements proper token management and refresh
  • Handles secure file uploads for evidence

🤝 Contributing

  1. Fork the repository
  2. Create a feature branch
  3. Make your changes
  4. Add tests for new functionality
  5. Ensure all tests pass
  6. Submit a pull request

📄 License

This project is licensed under the MIT License - see the LICENSE file for details.

🆘 Support

For support and questions:

📝 Changelog

Version 0.1.5

  • Added spacy dependency for natural language processing
  • Enhanced table parsing capabilities
  • Improved error handling and logging
  • Added file download operations
  • Enhanced documentation

Version 0.1.2

  • Initial release
  • Jira REST API integration
  • Xray Cloud GraphQL API integration
  • Complete test management functionality
  • Evidence and defect management
  • Comprehensive error handling and logging

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