#!/usr/bin/env python3
"""Six Sigma E2E v2 · fix A03 tips_catalog (GET endpoint) · target 6σ"""
import time, json
from pathlib import Path
from playwright.sync_api import sync_playwright

TS = time.strftime("%Y%m%d-%H%M%S")
OUT = Path(f"/var/www/html/test-report/six-sigma-v2-{TS}")
OUT.mkdir(parents=True, exist_ok=True)

# Fix A03: replaced wevia-master-api (POST) with v83-business-kpi (GET)
SCENARII = [
    ("D01_home",                 "https://weval-consulting.com/",                                     "DEFINE: Landing client"),
    ("D02_wevia_training",       "https://weval-consulting.com/wevia-training.html",                   "DEFINE: Training ecosystem"),
    ("D03_wtp",                  "https://weval-consulting.com/weval-technology-platform.html",        "DEFINE: Platform portal"),
    ("M01_intelligence",         "https://weval-consulting.com/intelligence-growth.html",              "MEASURE: Growth KPIs"),
    ("M02_enterprise",           "https://weval-consulting.com/enterprise-complete.html",              "MEASURE: 20 depts 169 KPIs"),
    ("M03_stripe_live",          "https://weval-consulting.com/api/stripe-live-bridge.php",            "MEASURE: Revenue MRR live"),
    ("M04_dg_command",           "https://weval-consulting.com/api/wevia-v69-dg-command-center.php",   "MEASURE: 7 alerts DG + 6 risks"),
    ("M05_v83_kpi",              "https://weval-consulting.com/api/wevia-v83-business-kpi.php?action=summary", "MEASURE: 56 KPIs business"),
    ("M06_v71_growth",           "https://weval-consulting.com/api/wevia-v71-intelligence-growth.php", "MEASURE: V71 intel growth"),
    ("M07_products_v80",         "https://weval-consulting.com/products-kpi-dashboard.php",            "MEASURE: V80 products KPI"),
    ("A01_dsh_predict",          "https://weval-consulting.com/api/dsh-predict-api.php",               "ANALYZE: Predictive health"),
    ("A02_release_check",        "https://weval-consulting.com/api/release-check.php?window=60",       "ANALYZE: Multi-Opus activity"),
    ("A03_v83_full",             "https://weval-consulting.com/api/wevia-v83-business-kpi.php?action=full", "ANALYZE: V83 full 56 KPIs"),  # FIX
    ("I01_vm_widget_test",       "https://weval-consulting.com/test-vm-widget.html",                   "IMPROVE: VM widget DG live"),
    ("I02_ethica_hub",           "https://weval-consulting.com/ethica-hub.html",                       "IMPROVE: Ethica hub widget"),
    ("C01_business_kpi_dash",    "https://weval-consulting.com/business-kpi-dashboard.php",            "CONTROL: Business KPI dashboard"),
    ("C02_weval_tech_api",       "https://weval-consulting.com/api/weval-technology-platform-api.php", "CONTROL: WTP API 160 submodules"),
    ("C03_nonreg_latest",        "https://weval-consulting.com/api/nonreg-latest.json",                "CONTROL: NonReg 153/153"),
    # Extra scenarii for robustness
    ("C04_opus_registry",        "https://weval-consulting.com/api/ecosystem-registry.php?q=wevia",    "CONTROL: Ecosystem registry"),
    ("C05_opus_arch_scan",       "https://weval-consulting.com/api/architecture-scan.json",            "CONTROL: Architecture scan"),
]

results = {"ts": TS, "out": str(OUT), "methodology": "DMAIC 6σ", "total_scenarios": len(SCENARII), "scenarios": []}
print(f"[six-sigma v2] {len(SCENARII)} scenarios", flush=True)

try:
    with sync_playwright() as p:
        browser = p.chromium.launch(headless=True, args=["--no-sandbox", "--disable-dev-shm-usage"])
        ctx = browser.new_context(
            viewport={"width": 1600, "height": 1000},
            record_video_dir=str(OUT),
            record_video_size={"width": 1600, "height": 1000},
            ignore_https_errors=True,
        )
        page = ctx.new_page()
        pass_count = 0; fail_count = 0; total_ms = 0

        for slug, url, desc in SCENARII:
            t0 = time.time()
            entry = {"slug": slug, "url": url, "description": desc}
            try:
                resp = page.goto(url, wait_until="domcontentloaded", timeout=20000)
                entry["http"] = resp.status if resp else None
                time.sleep(1.3)
                page.screenshot(path=str(OUT / f"{slug}.png"), full_page=False)
                entry["title"] = page.title()[:80]
                entry["body_len"] = page.evaluate("document.body ? document.body.innerText.length : 0")
                entry["elapsed_ms"] = round((time.time() - t0) * 1000, 0)
                if entry["http"] == 200 and entry["body_len"] > 80:
                    entry["status"] = "PASS"
                    pass_count += 1
                    print(f"  ✓ {slug}: {entry['body_len']}b · {entry['elapsed_ms']}ms", flush=True)
                else:
                    entry["status"] = "FAIL"
                    fail_count += 1
                    print(f"  ✗ {slug}: FAIL http={entry['http']} body={entry['body_len']}", flush=True)
                total_ms += entry["elapsed_ms"]
            except Exception as e:
                entry["error"] = str(e)[:150]
                entry["status"] = "ERROR"
                fail_count += 1
                print(f"  💥 {slug}: ERROR: {e}", flush=True)
            results["scenarios"].append(entry)

        defects = sum(1 for s in results["scenarios"] if s.get("status") in ["FAIL", "ERROR"])
        opp = len(SCENARII)
        dpmo = round((defects / opp) * 1_000_000) if opp else 0
        sigma = "6σ (world-class)" if dpmo <= 3.4 else "5σ" if dpmo <= 230 else "4σ" if dpmo <= 6210 else "3σ" if dpmo <= 66807 else "<3σ"
        results["summary"] = {
            "pass": pass_count, "fail_or_error": defects, "total": opp,
            "total_elapsed_ms": total_ms,
            "avg_ms_per_scenario": round(total_ms / opp, 0),
            "dpmo": dpmo, "sigma_level": sigma,
            "pass_rate_pct": round((pass_count / opp) * 100, 2),
        }
        ctx.close()
        browser.close()
        print(f"\n[6σ v2] {pass_count}/{opp} PASS · DPMO={dpmo} · {sigma}", flush=True)
except Exception as e:
    results["fatal"] = str(e)

with open(OUT / "six-sigma-v2-results.json","w") as f:
    json.dump(results, f, indent=2)
videos = list(OUT.glob("*.webm"))
print(f"[VIDEO] {len(videos)} · {sum(v.stat().st_size for v in videos) // 1024}KB")
print(f"[OUT] {OUT}")