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
- HTML Documentation: View Online
- API Reference: API Docs
✨ 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 issueget_issue(issue_key, fields=None)- Retrieve a Jira issueupdate_issue_summary(issue_key, new_summary)- Update issue summarymake_jira_request(jira_key, url, method, payload, **kwargs)- Make custom Jira requestsdownload_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 planget_test_plan_data(test_plan)- Get parsed test plan data
Test Set Operations
get_tests_from_test_set(test_set)- Get tests from test setfilter_test_set_by_test_case(test_key)- Filter test sets by test casefilter_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 executionget_test_execution(test_execution)- Get detailed test execution infocreate_test_execution(test_issue_keys, project_key, summary, description)- Create test executioncreate_test_execution_from_test_plan(test_plan)- Create test execution from planadd_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 statusget_test_run_by_id(test_case_id, test_execution_id)- Get test run by IDupdate_test_run_status(test_run_id, test_run_status)- Update test run statusupdate_test_run_comment(test_run_id, test_run_comment)- Update test run commentget_test_run_comment(test_run_id)- Get test run commentappend_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 evidencecreate_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 extensiondownload_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
Nonefor 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
- Fork the repository
- Create a feature branch
- Make your changes
- Add tests for new functionality
- Ensure all tests pass
- 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: yakub@arusatech.com
📝 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
Project details
Release history Release notifications | RSS feed
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