Spaces:
Sleeping
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fix: upload actual analyze/route.ts content — XSS fix, scan count fix, input validation
Browse files- web/app/api/analyze/route.ts +233 -1
web/app/api/analyze/route.ts
CHANGED
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@@ -1 +1,233 @@
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| 1 |
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import { NextRequest, NextResponse } from "next/server";
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import { createClient } from "@/lib/supabase/server";
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const GRADIO_URL = process.env.CLAUSEGUARD_GRADIO_URL || "https://gaurv007-clauseguard.hf.space";
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// FIX v4.1: Max text size validation (prevent oversized payloads)
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const MAX_TEXT_LENGTH = 200_000; // 200KB
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export async function POST(req: NextRequest) {
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try {
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const supabase = await createClient();
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const { data: { user } } = await supabase.auth.getUser();
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if (!user) {
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return NextResponse.json({ error: "Unauthorized. Please log in to analyze texts." }, { status: 401 });
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}
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const body = await req.json();
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let { text } = body;
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if (!text || typeof text !== "string" || text.trim().length < 50) {
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return NextResponse.json(
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{ error: "Please provide at least 50 characters of text to analyze." },
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{ status: 400 }
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);
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}
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// FIX v4.1: Input size validation
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if (text.length > MAX_TEXT_LENGTH) {
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return NextResponse.json(
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{ error: `Text too long (${(text.length / 1000).toFixed(0)}KB). Maximum is ${MAX_TEXT_LENGTH / 1000}KB.` },
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{ status: 400 }
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);
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}
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// FIX v4.1: REMOVED the XSS sanitization that corrupted contract text.
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// The old code did: text = text.replace(/</g, "<").replace(/>/g, ">");
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// This PERMANENTLY MUTATED the text before analysis, corrupting contracts
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// that contain < or > characters (e.g., "shall not exceed >$10,000").
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// Sanitization should happen at RENDER TIME in the frontend, not at analysis time.
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// The frontend already uses React which auto-escapes HTML in JSX.
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// Check scan limits — FIX v4.1: query the CORRECT table name
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const { data: profile } = await supabase
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.from("profiles")
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.select("plan, role, analyses_this_month")
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.eq("id", user.id)
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.single();
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const isAdmin = profile?.role === "admin";
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const plan = profile?.plan || "free";
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// FIX v4.1: Use analyses_this_month from profiles (already tracked), not a separate count query
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const scanCount = profile?.analyses_this_month ?? 0;
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const limit = isAdmin ? 999999 : plan === "free" ? 10 : 999999;
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if (scanCount >= limit) {
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return NextResponse.json({ error: "Monthly scan limit reached. Please upgrade to Pro." }, { status: 403 });
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}
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// Step 1: Submit to Gradio Space
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const submitRes = await fetch(`${GRADIO_URL}/gradio_api/call/_analysis_and_index`, {
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method: "POST",
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headers: { "Content-Type": "application/json" },
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body: JSON.stringify({ data: [text] }),
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});
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if (!submitRes.ok) {
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throw new Error(`Gradio submit failed: ${submitRes.status}`);
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}
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const { event_id } = await submitRes.json();
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if (!event_id) throw new Error("No event_id from Gradio");
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// FIX v4.1: Improved SSE polling with proper streaming support
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// Uses exponential backoff instead of fixed 1s intervals
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let resultText = "";
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let attempts = 0;
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const maxAttempts = 90; // 90 seconds max (increased from 60)
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let delay = 500; // Start at 500ms, increase
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while (attempts < maxAttempts) {
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const resultRes = await fetch(
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`${GRADIO_URL}/gradio_api/call/_analysis_and_index/${event_id}`,
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{ headers: { Accept: "text/event-stream" } }
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);
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resultText = await resultRes.text();
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if (resultText.includes("event: complete")) break;
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if (resultText.includes("event: error")) {
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const errMatch = resultText.match(/data:\s*(.+)/);
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throw new Error(errMatch ? errMatch[1] : "Analysis failed in backend");
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}
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await new Promise(r => setTimeout(r, delay));
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delay = Math.min(delay * 1.2, 2000); // Cap at 2s
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attempts++;
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}
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if (!resultText.includes("event: complete")) {
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throw new Error("Analysis timed out. The backend may be loading models. Please try again in 30 seconds.");
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}
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// Step 3: Parse the SSE data
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const completeIdx = resultText.indexOf("event: complete");
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const dataIdx = resultText.indexOf("data: ", completeIdx);
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if (dataIdx === -1) throw new Error("No data in response");
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const dataStr = resultText.substring(dataIdx + 6).trim();
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let gradioData: any[];
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try {
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gradioData = JSON.parse(dataStr);
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} catch {
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const cleaned = dataStr.replace(/[\x00-\x1f]/g, (ch: string) => {
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if (ch === "\n") return "\\n";
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if (ch === "\r") return "\\r";
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if (ch === "\t") return "\\t";
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return "";
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});
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gradioData = JSON.parse(cleaned);
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}
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// Step 4: Download the JSON report file (structured data)
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const jsonFileObj = gradioData[8];
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if (!jsonFileObj?.url) {
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throw new Error("No JSON report generated");
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}
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const jsonRes = await fetch(jsonFileObj.url);
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if (!jsonRes.ok) throw new Error("Failed to download analysis JSON");
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const analysisData = await jsonRes.json();
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// Step 5: Transform to frontend format
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const riskScore = analysisData.risk?.score ?? 0;
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const grade = analysisData.risk?.grade ?? "A";
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const totalClauses = analysisData.metadata?.total_clauses ?? 0;
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const flaggedCount = analysisData.metadata?.flagged_clauses ?? 0;
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// Group clauses by text (multiple labels per clause)
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const clauseMap = new Map<string, any>();
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for (const cr of (analysisData.clauses || [])) {
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if (!clauseMap.has(cr.text)) {
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clauseMap.set(cr.text, { text: cr.text, categories: [] });
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}
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clauseMap.get(cr.text)!.categories.push({
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name: cr.label,
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severity: cr.risk,
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confidence: cr.confidence,
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description: cr.description,
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});
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}
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const results = Array.from(clauseMap.values());
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// FIX v4.1: Parse redlines from structured JSON data instead of fragile HTML regex
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const redlines: any[] = [];
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// Try to extract redlines from the analysis JSON first (if available)
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if (analysisData.redlines && Array.isArray(analysisData.redlines)) {
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for (const rl of analysisData.redlines) {
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redlines.push({
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clause_label: rl.clause_label || "",
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risk_level: rl.risk_level || "MEDIUM",
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original_text: rl.original_text || "",
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safe_alternative: rl.safe_alternative || "",
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template_alternative: rl.template_alternative || "",
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legal_basis: rl.legal_basis || "",
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consumer_standard: rl.consumer_standard || "",
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tier: rl.tier || "template",
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});
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}
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}
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// Fallback: try parsing from HTML only if no structured data
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if (redlines.length === 0) {
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const redlineHtml = typeof gradioData[7] === "string" ? gradioData[7] : "";
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if (redlineHtml.includes("Clause Redlining")) {
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const blocks = redlineHtml.split(/border-left:4px solid #/);
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for (let i = 1; i < blocks.length; i++) {
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const block = blocks[i];
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const labelMatch = block.match(/font-weight:600[^>]*>([^<]+)<\/span>\s*<span[^>]*font-weight:600[^>]*>([^<]+)/);
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const origMatch = block.match(/<del>([^<]*)<\/del>/);
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const safeBlock = block.match(/Suggested Alternative[\s\S]*?<div[^>]*color:#166534[^>]*>([\s\S]*?)<\/div>/);
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const legalMatch = block.match(/Legal Basis<\/div>\s*<div[^>]*>([^<]+)/);
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const consumerMatch = block.match(/Consumer Standard<\/div>\s*<div[^>]*>([^<]+)/);
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const isLLM = block.includes("LLM Refined");
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if (labelMatch) {
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redlines.push({
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clause_label: labelMatch[1].trim(),
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risk_level: labelMatch[2].trim(),
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original_text: origMatch ? origMatch[1].trim() : "",
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safe_alternative: safeBlock ? safeBlock[1].replace(/<[^>]+>/g, "").trim() : "",
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legal_basis: legalMatch ? legalMatch[1].trim() : "",
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consumer_standard: consumerMatch ? consumerMatch[1].trim() : "",
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tier: isLLM ? "llm_refined" : "template",
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});
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}
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}
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}
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}
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const modelStatus = analysisData.metadata?.model || "";
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// FIX v4.1: Increment scan count in profiles table
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await supabase
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.from("profiles")
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.update({ analyses_this_month: scanCount + 1 })
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.eq("id", user.id);
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return NextResponse.json({
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risk_score: riskScore,
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grade,
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total_clauses: totalClauses,
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flagged_count: flaggedCount,
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results,
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entities: analysisData.entities || [],
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contradictions: analysisData.contradictions || [],
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obligations: analysisData.obligations || [],
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compliance: analysisData.compliance || {},
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redlines,
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model: modelStatus.includes("loaded") ? "ml" : "regex",
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latency_ms: 0,
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session_id: null,
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});
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} catch (error: any) {
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console.error("Analyze error:", error.message);
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return NextResponse.json(
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{ error: "Analysis failed: " + (error.message || "Try again in 30 seconds.") },
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{ status: 500 }
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);
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}
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}
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