Vectr

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**
   - VECTR: API key/token, secure storage (env variables).
   - Jira: API token, user with issue creation permissions, secure storage.

2. **API Endpoints**
   - VECTR: `GET /testcases` (confirm endpoint/response structure).
   - Jira: `POST /rest/api/2/issue`, `GET /rest/api/2/issue/createmeta`.

3. **Data Mapping**
   - Map VECTR fields (e.g., `test_case_name` → `summary`, `description` → `description`, `test_case_id` → custom field).
   - Validate data, handle missing values.
   - Use “Test Case” issue type or create custom type.

4. **Script Development**
   - Language: Python (`requests`) or similar.
   - Functions: Auth, fetch VECTR test cases, map data, create Jira issues.
   - Config: Store API URLs, credentials, project keys.

5. **Error Handling & Logging**
   - Handle API errors (401, 400, 500), implement retries.
   - Prevent duplicates (e.g., check via JQL or database).
   - Log execution (timestamps, test case IDs, Jira keys).

6. **Jira Configuration**
   - Project: Valid project key (e.g., “TEST”).
   - Custom fields: Add for VECTR data (e.g., “Test Case ID”).
   - Permissions: API user can create/edit issues.
   - Workflow: Support test case statuses (e.g., “Pass,” “Fail”).

7. **Testing**
   - Unit tests: API calls, data mapping.
   - Integration tests: Sandbox Jira project.
   - Validate: Correct ticket data, no duplicates.

8. **Security**
   - Use HTTPS, validate SSL.
   - Comply with data privacy (e.g., GDPR).
   - Respect API rate limits, use backoff.

9. **Optional Features**
   - Attach VECTR files to Jira tickets.
   - Schedule script or trigger on VECTR events.
   - Link tickets to VECTR test cases.

10. **Documentation**
    - README: Setup, mappings, examples.
    - Track changes in Git.
    - Monitor VECTR/Jira API updates.

**Acceptance Criteria:**
- Script creates Jira tickets with accurate VECTR data.
- No duplicates, errors logged.
- Secure, maintainable code with documentation.
- Tested in sandbox environment.

**Notes:**
- Verify VECTR API details (endpoints, auth).
- Check Jira version for deprecated endpoints (e.g., `createmeta`).
- Consider Xray/Zephyr for advanced test management.

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