run_phase3.py

from sfdr2.data import SAMPLE_PORTFOLIO
from sfdr2.alignment import assess

a = assess(SAMPLE_PORTFOLIO, pab_replication=False)
print("=" * 74)
print("PHASE 3 - TAXONOMY ALIGNMENT & THE 70% TEST")
print("=" * 74)
print(f"{'Issuer':<26}{'Wt%':>6}  {'Outcome':<11}{'Basis'}")
print("-" * 74)
for iss, w, out, _c, why in a["rows"]:
    print(f"{iss:<26}{w:>6.1f}  {out:<11}{why}")

print("\n" + "-" * 74)
print("DECARBONISATION PATHWAY (PAB: -50% vs parent, then -7% p.a.)")
print(f"  Parent-benchmark intensity (proxy) : {a['parent_intensity']:>8.1f} tCO2e/EURm")
print(f"  1.5C pathway target (this year)    : {a['pathway_target']:>8.1f} tCO2e/EURm")
print(f"  Post-exclusion portfolio WACI      : {a['post_excl_waci']:>8.1f} tCO2e/EURm")
print(f"  Pathway-aligned?                   : {a['pathway_aligned']}")

print("\n" + "-" * 74)
print(f"Portfolio Taxonomy-aligned revenue : {a['taxonomy_aligned_pct']:.1f}%  "
      f"(15% deem {'MET' if a['deem_15'] else 'NOT met'})")
print(f"PAB-replication product?           : {a['pab_replication']}")
print("\nCATEGORY TEST (floor 70% of total investments):")
for c, d in a["categories"].items():
    print(f"  {c:<12} direct {d['direct_pct']:>6.1f}%  ->  "
          f"{'QUALIFIES' if d['meets'] else 'fails':<10} via {d['path']}")
print("-" * 74)