<?php
// /api/linkedin-alignment-kpi.php — KPI pilotage alignment LinkedIn × Archi
// Invoqué par cron ou dashboard wiki
header("Content-Type: application/json");

$metric = $_GET["metric"] ?? "all";
$now = date("c");

// Valeurs baseline calculées à partir de lhistorique posts LinkedIn (via linkedin-posts.php)
// et de larchi live (wevia-public-status.php)

$posts = @json_decode(@file_get_contents("http://localhost/api/linkedin-posts.php"), true);
$posts_list = $posts["posts"] ?? [];
$total_posts = count($posts_list);

// 1. Posts avec chiffre-choc (détection regex : nombres > 10 ou pourcents ou K/M)
$with_metric = 0;
foreach ($posts_list as $p) {
    $txt = ($p["title"] ?? "") . " " . ($p["excerpt"] ?? "");
    if (preg_match("/\d{2,}[KMk%]?|\d+\.\d+|\d+\/\d+/", $txt)) $with_metric++;
}
$pct_with_metric = $total_posts > 0 ? round($with_metric / $total_posts * 100, 1) : 0;

// 2. Reach moyen 30j
$cutoff = strtotime("-30 days");
$reach_30d = [];
foreach ($posts_list as $p) {
    if (strtotime($p["post_date"] ?? "2020-01-01") >= $cutoff) {
        $reach_30d[] = intval($p["views"] ?? 0);
    }
}
$avg_reach = count($reach_30d) > 0 ? round(array_sum($reach_30d) / count($reach_30d)) : 0;

// 3. Taux engagement moyen
$eng_rates = [];
foreach ($posts_list as $p) {
    $views = intval($p["views"] ?? 0);
    if ($views > 0) {
        $interactions = intval($p["likes"] ?? 0) + intval($p["comments"] ?? 0) + intval($p["reposts"] ?? 0);
        $eng_rates[] = $interactions / $views * 100;
    }
}
$avg_eng = count($eng_rates) > 0 ? round(array_sum($eng_rates) / count($eng_rates), 2) : 0;

// 7. Claims à risque publics (regex détection: +500, 52 domaines, launch in days)
$risky = 0;
$risky_posts = [];
foreach ($posts_list as $p) {
    $txt = ($p["title"] ?? "") . " " . ($p["excerpt"] ?? "");
    if (preg_match("/\+500%|52 domaines|launch in days/i", $txt)) {
        $risky++;
        $risky_posts[] = $p["title"];
    }
}

// 8. Parité corp vs LS
$corp = 0; $ls = 0;
foreach ($posts_list as $p) {
    if (($p["source"] ?? "") == "W") $corp++;
    elseif (($p["source"] ?? "") == "L") $ls++;
}
$parity = ($corp + $ls) > 0 ? round($corp / max(1, $ls), 2) : 0;

// 9. Services UP publics
$rt = @json_decode(@file_get_contents("http://localhost/api/realtime-status.php"), true);
$up = $rt["summary"]["up"] ?? 0;
$total_srv = $rt["summary"]["total"] ?? 1;
$pct_up = round($up / $total_srv * 100, 1);

$kpis = [
    "posts_with_metric" => ["value" => $pct_with_metric, "target" => 90, "unit" => "%", "status" => $pct_with_metric >= 90 ? "OK" : "BELOW"],
    "avg_reach_30d" => ["value" => $avg_reach, "target" => 800, "unit" => "views", "status" => $avg_reach >= 800 ? "OK" : "BELOW"],
    "engagement_rate_30d" => ["value" => $avg_eng, "target" => 2.0, "unit" => "%", "status" => $avg_eng >= 2 ? "OK" : "BELOW"],
    "tagline_compliance" => ["value" => 0, "target" => 100, "unit" => "%", "status" => "PENDING", "note" => "Deploy V1 first"],
    "unique_proofs_cited" => ["value" => null, "target" => 15, "unit" => "/month", "status" => "TBD"],
    "linkedin_to_demo" => ["value" => null, "target" => 30, "unit" => "/month", "status" => "TBD", "note" => "Need /live-status tracking"],
    "risky_claims" => ["value" => $risky, "target" => 0, "unit" => "posts", "status" => $risky == 0 ? "OK" : "CRITICAL", "posts" => $risky_posts],
    "account_parity" => ["value" => $parity, "target_range" => [0.8, 1.2], "unit" => "ratio corp/LS", "status" => ($parity >= 0.8 && $parity <= 1.2) ? "OK" : "SKEWED"],
    "public_services_up" => ["value" => $pct_up, "target" => 80, "unit" => "%", "status" => $pct_up >= 80 ? "OK" : "BELOW"],
    "named_cases_month" => ["value" => 0, "target" => 2, "unit" => "/month", "status" => "BELOW", "note" => "No named client posts yet"]
];

if ($metric !== "all" && isset($kpis[$metric])) {
    echo json_encode(["metric" => $metric, "measured_at" => $now] + $kpis[$metric], JSON_PRETTY_PRINT);
} else {
    echo json_encode([
        "generated_at" => $now,
        "total_posts_analyzed" => $total_posts,
        "audit_ref" => "/opt/weval-l99/audits/AUDIT-LINKEDIN-ARCHI-2026-04-16.md",
        "audit_score" => 4.8,
        "kpis" => $kpis
    ], JSON_PRETTY_PRINT);
}