xrayclient 0.1.0

Python Client for Xray Test Management for Jira

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.

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

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=[e-mail]
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)

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

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

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

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:

• Create an issue on GitHub
• Contact: [e-mail]

Changelog

Version 0.1.0

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