Jira2

gistfile1.txt

**Jira Ticket: Requirements for VECTR Test Cases API to Jira Ticket Script**

**Description:**  
Develop a script to create Jira tickets from VECTR test cases API data.

**Requirements:**

1. **Authentication**  
   - Create VECTR API credentials (e.g., API key or token) to authenticate requests securely.  
   - Store VECTR credentials in environment variables or a secrets manager to prevent exposure.  
   - Generate a Jira API token for a user with issue creation permissions to authenticate Jira API requests.  
   - Securely store Jira credentials in environment variables to ensure confidentiality.  

2. **API Endpoints**  
   - Access VECTR API documentation to identify the `GET /testcases` endpoint and understand its response structure.  
   - Utilize Jira’s `POST /rest/api/2/issue` endpoint to create issues programmatically.  
   - Retrieve Jira issue creation metadata using `GET /rest/api/2/issue/createmeta` to identify required fields.  

3. **Data Mapping**  
   - Map VECTR test case fields to Jira issue fields (e.g., `test_case_name` to `summary`, `description` to `description`, `test_case_id` to a custom field) to ensure accurate data transfer.  
   - Validate VECTR data to confirm required fields are non-empty and meet Jira’s constraints.  
   - Create or configure a “Test Case” issue type in Jira to align with test case data.  

4. **Script Development**  
   - Develop the script in Python using the `requests` library to handle API interactions efficiently.  
   - Implement functions to authenticate with VECTR and Jira, fetch test cases, map data, and create Jira issues.  
   - Store configuration details (e.g., API URLs, credentials, project keys) in a config file or environment variables for reusability.  

5. **Error Handling & Logging**  
   - Handle API errors (e.g., 401, 400, 500) with retries or fallbacks to ensure robust execution.  
   - Prevent duplicate Jira tickets by checking for existing issues using JQL or a local database.  
   - Log execution details (e.g., timestamps, test case IDs, Jira issue keys) to a file for traceability and debugging.  

6. **Jira Configuration**  
   - Configure a Jira project with a valid project key (e.g., “TEST”) to receive created issues.  
   - Create custom fields in Jira (e.g., “Test Case ID”) to store VECTR-specific data.  
   - Grant the API user permissions to create and edit issues in the Jira project.  
   - Define a workflow in Jira to support test case statuses (e.g., “Pass,” “Fail”).  

7. **Testing**  
   - Write unit tests for API calls and data mapping functions to verify functionality.  
   - Conduct integration tests in a sandbox Jira project to validate end-to-end execution.  
   - Validate created Jira tickets to ensure accurate data mapping and no duplicates.  

8. **Security**  
   - Use HTTPS for all API requests to secure data in transit.  
   - Validate SSL certificates to prevent man-in-the-middle attacks.  
   - Comply with data privacy regulations (e.g., GDPR) when handling sensitive VECTR data.  
   - Respect VECTR and Jira API rate limits, implementing exponential backoff for retries.  

9. **Optional Features**  
   - Enable attachment of VECTR files to Jira tickets using Jira’s attachment API to enhance traceability.  
   - Schedule the script to run automatically or trigger it based on VECTR events for efficiency.  
   - Link Jira tickets to VECTR test cases using custom fields or issue links for bidirectional traceability.  

10. **Documentation**  
    - Create a README file documenting the script’s setup, field mappings, and example payloads to aid onboarding.  
    - Store the script in a Git repository to track changes and enable collaboration.  
    - Monitor VECTR and Jira API updates to maintain compatibility with future changes.  

**Acceptance Criteria:**  
- The script successfully creates Jira tickets with accurate VECTR test case data.  
- The script prevents duplicate tickets and logs errors effectively.  
- The code is secure, maintainable, and documented comprehensively.  
- The script is tested in a sandbox environment with validated results.  

**Notes:**  
- Verify VECTR API specifics (e.g., endpoints, authentication) with official documentation.  
- Check Jira version compatibility to avoid deprecated endpoints (e.g., `createmeta`).  
- Explore Xray or Zephyr for advanced test case management if needed.  

**Assignee:** [To Be Determined]  
**Priority:** [To Be Determined]  
**Project Key:** [e.g., TEST]  
**Issue Type:** Task