feat: complete marketing command center with pipeline, UI, and asset generation

- Dashboard with campaign management, asset gallery, and publishing queue - 7-agent pipeline: trend scout, research, scripts, ad creative, video, copy, distribution - Campaign form with screenshot upload, goal picker, platform selection - Campaign detail view with Details/Pipeline/Assets/Chat tabs - Two-set image generation: Gemini AI (NanoBanana MCP) + Canvas Design posters - Remotion video rendering with phone.png frame and real screenshot alignment - honeyDue branding: blue #0079FF, orange #FF9400, Inter font, warm off-white - Asset cards with source badges (Gemini/Canvas/Remotion/Playwright) - Markdown/JSON render endpoint for viewing pipeline outputs as HTML - Settings page with Tavily, Gemini, Postiz, Nextdoor integration management - Claude Chat for campaign feedback loop with streaming SSE - Postiz publishing modal with scheduling - Auth with NextAuth credentials + JWT sessions - SQLite via Prisma with better-sqlite3 adapter Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-03-23 21:05:26 -05:00
parent 6b08cfb73a
commit 66c2bbec8b
113 changed files with 12741 additions and 138 deletions
@@ -0,0 +1,83 @@
+import { readFile, stat } from "fs/promises";
+import path from "path";
+import { auth } from "@/lib/auth";
+
+const PIPELINE_ROOT = process.env.PIPELINE_ROOT || path.join(process.cwd(), "pipeline");
+
+const CONTENT_TYPES: Record<string, string> = {
+  ".png": "image/png",
+  ".jpg": "image/jpeg",
+  ".jpeg": "image/jpeg",
+  ".gif": "image/gif",
+  ".webp": "image/webp",
+  ".mp4": "video/mp4",
+  ".webm": "video/webm",
+  ".html": "text/html",
+  ".json": "application/json",
+  ".md": "text/markdown",
+  ".txt": "text/plain",
+  ".css": "text/css",
+  ".js": "text/javascript",
+  ".svg": "image/svg+xml",
+};
+
+export async function GET(
+  request: Request,
+  { params }: { params: Promise<{ path: string[] }> }
+) {
+  const session = await auth();
+  if (!session) {
+    return new Response("Unauthorized", { status: 401 });
+  }
+
+  const { path: segments } = await params;
+  const filePath = path.join(PIPELINE_ROOT, ...segments);
+
+  // Security: prevent path traversal
+  const resolved = path.resolve(filePath);
+  if (!resolved.startsWith(path.resolve(PIPELINE_ROOT))) {
+    return new Response("Forbidden", { status: 403 });
+  }
+
+  try {
+    const fileStat = await stat(resolved);
+    const ext = path.extname(resolved).toLowerCase();
+    const contentType = CONTENT_TYPES[ext] || "application/octet-stream";
+    const fileSize = fileStat.size;
+
+    // Handle range requests (needed for video seeking/thumbnails)
+    const range = request.headers.get("range");
+    if (range) {
+      const match = range.match(/bytes=(\d+)-(\d*)/);
+      if (match) {
+        const start = parseInt(match[1], 10);
+        const end = match[2] ? parseInt(match[2], 10) : fileSize - 1;
+        const buffer = await readFile(resolved);
+        const chunk = buffer.subarray(start, end + 1);
+
+        return new Response(chunk, {
+          status: 206,
+          headers: {
+            "Content-Type": contentType,
+            "Content-Range": `bytes ${start}-${end}/${fileSize}`,
+            "Content-Length": String(chunk.length),
+            "Accept-Ranges": "bytes",
+            "Cache-Control": "no-cache",
+          },
+        });
+      }
+    }
+
+    const buffer = await readFile(resolved);
+    return new Response(buffer, {
+      headers: {
+        "Content-Type": contentType,
+        "Content-Length": String(fileSize),
+        "Accept-Ranges": "bytes",
+        "Cache-Control": "no-cache",
+      },
+    });
+  } catch {
+    return new Response("Not found", { status: 404 });
+  }
+}