""" Generate an executive summary from readiness/report artifacts. """ from pathlib import Path import re from datetime import datetime, timezone def read_text(path): p = Path(path) return p.read_text(encoding='utf-8') if p.exists() else '' def extract_score(text): m = re.search(r'\*\*Score:\*\*\s*(\d+)/(\d+)', text) if not m: return 'n/a' return f"{m.group(1)}/{m.group(2)}" def main(): ts = datetime.now(timezone.utc).strftime('%Y-%m-%d %H:%M UTC') rr = read_text('docs/RELEASE_READINESS.md') hf = read_text('docs/HF_SPACE_READINESS.md') rc = read_text('docs/FINAL_RELEASE_CANDIDATE.md') rel_score = extract_score(rr) hf_score = extract_score(hf) pipeline = 'n/a' m = re.search(r'\*\*Pipeline success:\*\*\s*([^\n]+)', rc) if m: pipeline = m.group(1).strip() coverage = 'n/a' m2 = re.search(r'\*\*Output coverage:\*\*\s*([^\n]+)', rc) if m2: coverage = m2.group(1).strip() lines = [ '# Executive Summary', '', f'Generated: {ts}', '', '## Topline Status', f'- Release readiness score: **{rel_score}**', f'- HF Space readiness score: **{hf_score}**', f'- Final RC pipeline success: **{pipeline}**', f'- Final RC output coverage: **{coverage}**', '', '## Deliverables (high impact)', '- Cross-dataset evaluation (single-pair + matrix + heatmap)', '- Multi-model benchmark + leaderboard + unified visual comparisons', '- Explainability (feature importance + permutation + ablation)', '- Reliability checks (calibration + robustness)', '- End-to-end reproducibility (CI + Docker + full-pipeline + validation)', '- Release assets (model card, release drafts, docs bundle, status badges)', '', '## Key Docs', '- `docs/TECHNICAL_REPORT.md`', '- `docs/FINAL_RELEASE_CANDIDATE.md`', '- `docs/RELEASE_READINESS.md`', '- `docs/HF_SPACE_READINESS.md`', '- `docs/MODEL_CARD.md`', ] out = Path('docs/EXECUTIVE_SUMMARY.md') out.write_text('\n'.join(lines) + '\n', encoding='utf-8') print(f'Generated {out}') if __name__ == '__main__': main()