# Jira example
def get_requirements_jira(project_key):
    jql = f'project = {project_key} AND issuetype = "User Story" AND status != Done'
    issues = jira_search(jql)
    return [
        {"id": i["key"], "title": i["fields"]["summary"],
         "status": i["fields"]["status"]["name"]}
        for i in issues
    ]

# Per platform
def get_cases_testrail(project_id):
    cases = []
    # Per testrail-case-management list_cases pattern
    for case in list_testrail_cases(project_id):
        refs = case.get("refs", "").split(",") if case.get("refs") else []
        cases.append({"id": f"C{case['id']}", "title": case["title"],
                      "refs": [r.strip() for r in refs if r.strip()]})
    return cases

def get_cases_xray(project_key):
    # Tests in Xray are Jira issues; links indicate requirement coverage
    tests = jira_search(f'project = {project_key} AND issuetype = Test')
    cases = []
    for t in tests:
        # Get linked requirement issues
        links = get_issue_links(t["key"])
        reqs = [l["outwardIssue"]["key"] for l in links
                if l.get("type", {}).get("name") in ("Tests", "TestedBy")]
        cases.append({"id": t["key"], "title": t["fields"]["summary"],
                      "refs": reqs})
    return cases

def coverage(requirements, cases):
    req_ids = {r["id"] for r in requirements}
    case_to_reqs = {c["id"]: set(c["refs"]) & req_ids for c in cases}
    reqs_to_cases = {r["id"]: [] for r in requirements}
    for c in cases:
        for r in c["refs"]:
            if r in reqs_to_cases:
                reqs_to_cases[r].append(c["id"])

    covered = {r for r, cs in reqs_to_cases.items() if cs}
    uncovered = req_ids - covered
    orphan_cases = {c["id"] for c in cases if not case_to_reqs[c["id"]]}
    over_tested = {r: len(cs) for r, cs in reqs_to_cases.items() if len(cs) > 5}

    return {
        "requirements_total": len(requirements),
        "requirements_covered": len(covered),
        "coverage_pct": len(covered) / len(requirements) * 100 if requirements else 0,
        "uncovered_requirements": sorted(uncovered),
        "orphan_cases": sorted(orphan_cases),
        "over_tested_requirements": over_tested,
        "matrix": reqs_to_cases,
    }

import csv

def write_matrix_csv(reqs_to_cases, requirements, path):
    with open(path, "w", newline="") as f:
        w = csv.writer(f)
        w.writerow(["Requirement ID", "Requirement Title", "Test Case IDs", "Count"])
        for r in requirements:
            cs = reqs_to_cases.get(r["id"], [])
            w.writerow([r["id"], r["title"], "; ".join(cs), len(cs)])

## Traceability summary - <project> - <date>

Headline:   <covered>/<total> requirements covered (<pct>%) - <n> gaps block <release>.
Gaps:       each uncovered REQ id + a recommended action
Bloat:      requirements with >5 cases - audit for duplicates
Orphans:    <n> unlinked cases - split into intentional vs needs-linking
Next steps: sized actions to close the gaps

# .github/workflows/traceability.yml
on:
  schedule:
    - cron: '0 9 * * MON'  # weekly Monday 09:00
  workflow_dispatch:

jobs:
  build-matrix:
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v5
      - run: python scripts/build-matrix.py > matrix.md
      - run: |
          gh issue create --title "Traceability matrix - $(date +%Y-%m-%d)" \
                          --body-file matrix.md \
                          --label coverage-report