Add ACMCC app source, Supabase backend, and project config

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
2026-06-21 09:50:01 +00:00 · 2026-06-01 20:19:26 -04:00
parent 313b51b412
commit 183fe0a93c
1422 changed files with 259271 additions and 0 deletions
@@ -0,0 +1,179 @@
+import { serve } from "https://deno.land/std@0.168.0/http/server.ts";
+import { createClient } from "https://esm.sh/@supabase/supabase-js@2.99.1";
+
+const corsHeaders = {
+  "Access-Control-Allow-Origin": "*",
+  "Access-Control-Allow-Headers":
+    "authorization, x-client-info, apikey, content-type, x-supabase-client-platform, x-supabase-client-platform-version, x-supabase-client-runtime, x-supabase-client-runtime-version",
+};
+
+serve(async (req) => {
+  if (req.method === "OPTIONS") {
+    return new Response(null, { headers: corsHeaders });
+  }
+
+  try {
+    const { documentId, fileUrl, title } = await req.json();
+    if (!documentId || !fileUrl) {
+      return new Response(JSON.stringify({ error: "documentId and fileUrl are required" }), {
+        status: 400,
+        headers: { ...corsHeaders, "Content-Type": "application/json" },
+      });
+    }
+
+    const LOVABLE_API_KEY = Deno.env.get("LOVABLE_API_KEY");
+    if (!LOVABLE_API_KEY) {
+      return new Response(JSON.stringify({ error: "LOVABLE_API_KEY not configured" }), {
+        status: 500,
+        headers: { ...corsHeaders, "Content-Type": "application/json" },
+      });
+    }
+
+    // Fetch the file content
+    let fileContent = "";
+    try {
+      const fileResp = await fetch(fileUrl);
+      if (!fileResp.ok) throw new Error(`Failed to fetch file: ${fileResp.status}`);
+      
+      const contentType = fileResp.headers.get("content-type") || "";
+      
+      if (contentType.includes("application/pdf")) {
+        // For PDFs, extract text using base64 and Gemini's multimodal capability
+        const arrayBuffer = await fileResp.arrayBuffer();
+        const bytes = new Uint8Array(arrayBuffer);
+        let binary = "";
+        for (let i = 0; i < bytes.length; i++) {
+          binary += String.fromCharCode(bytes[i]);
+        }
+        const base64 = btoa(binary);
+        
+        const aiResp = await fetch("https://ai.gateway.lovable.dev/v1/chat/completions", {
+          method: "POST",
+          headers: {
+            Authorization: `Bearer ${LOVABLE_API_KEY}`,
+            "Content-Type": "application/json",
+          },
+          body: JSON.stringify({
+            model: "google/gemini-2.5-flash",
+            messages: [
+              {
+                role: "system",
+                content: `You are a document summarizer for a property management company. Generate a concise 2-4 sentence executive summary of the uploaded document. Focus on key findings, financial figures, action items, and important dates. Be professional and factual.`,
+              },
+              {
+                role: "user",
+                content: [
+                  {
+                    type: "text",
+                    text: `Please summarize this management report document titled "${title || 'Untitled'}".`,
+                  },
+                  {
+                    type: "image_url",
+                    image_url: {
+                      url: `data:application/pdf;base64,${base64}`,
+                    },
+                  },
+                ],
+              },
+            ],
+          }),
+        });
+
+        if (!aiResp.ok) {
+          if (aiResp.status === 429) {
+            return new Response(JSON.stringify({ error: "Rate limit exceeded, please try again later." }), {
+              status: 429, headers: { ...corsHeaders, "Content-Type": "application/json" },
+            });
+          }
+          if (aiResp.status === 402) {
+            return new Response(JSON.stringify({ error: "AI credits exhausted. Please add funds." }), {
+              status: 402, headers: { ...corsHeaders, "Content-Type": "application/json" },
+            });
+          }
+          const errText = await aiResp.text();
+          console.error("AI error:", aiResp.status, errText);
+          throw new Error(`AI gateway error: ${aiResp.status}`);
+        }
+
+        const aiData = await aiResp.json();
+        fileContent = aiData.choices?.[0]?.message?.content || "";
+      } else {
+        // For text-based files, read as text
+        const textContent = await fileResp.text();
+        const truncated = textContent.substring(0, 15000);
+
+        const aiResp = await fetch("https://ai.gateway.lovable.dev/v1/chat/completions", {
+          method: "POST",
+          headers: {
+            Authorization: `Bearer ${LOVABLE_API_KEY}`,
+            "Content-Type": "application/json",
+          },
+          body: JSON.stringify({
+            model: "google/gemini-2.5-flash",
+            messages: [
+              {
+                role: "system",
+                content: `You are a document summarizer for a property management company. Generate a concise 2-4 sentence executive summary. Focus on key findings, financial figures, action items, and important dates. Be professional and factual.`,
+              },
+              {
+                role: "user",
+                content: `Please summarize this management report titled "${title || 'Untitled'}":\n\n${truncated}`,
+              },
+            ],
+          }),
+        });
+
+        if (!aiResp.ok) {
+          if (aiResp.status === 429) {
+            return new Response(JSON.stringify({ error: "Rate limit exceeded." }), {
+              status: 429, headers: { ...corsHeaders, "Content-Type": "application/json" },
+            });
+          }
+          if (aiResp.status === 402) {
+            return new Response(JSON.stringify({ error: "AI credits exhausted." }), {
+              status: 402, headers: { ...corsHeaders, "Content-Type": "application/json" },
+            });
+          }
+          throw new Error(`AI gateway error: ${aiResp.status}`);
+        }
+
+        const aiData = await aiResp.json();
+        fileContent = aiData.choices?.[0]?.message?.content || "";
+      }
+    } catch (fetchErr) {
+      console.error("File fetch/AI error:", fetchErr);
+      return new Response(JSON.stringify({ error: "Failed to process document for summary" }), {
+        status: 500,
+        headers: { ...corsHeaders, "Content-Type": "application/json" },
+      });
+    }
+
+    // Save summary to database
+    const supabaseUrl = Deno.env.get("SUPABASE_URL")!;
+    const supabaseKey = Deno.env.get("SUPABASE_SERVICE_ROLE_KEY")!;
+    const supabase = createClient(supabaseUrl, supabaseKey);
+
+    const { error: updateError } = await supabase
+      .from("documents")
+      .update({ ai_summary: fileContent })
+      .eq("id", documentId);
+
+    if (updateError) {
+      console.error("DB update error:", updateError);
+      return new Response(JSON.stringify({ error: "Failed to save summary" }), {
+        status: 500,
+        headers: { ...corsHeaders, "Content-Type": "application/json" },
+      });
+    }
+
+    return new Response(JSON.stringify({ summary: fileContent }), {
+      headers: { ...corsHeaders, "Content-Type": "application/json" },
+    });
+  } catch (e) {
+    console.error("summarize-document error:", e);
+    return new Response(JSON.stringify({ error: e instanceof Error ? e.message : "Unknown error" }), {
+      status: 500,
+      headers: { ...corsHeaders, "Content-Type": "application/json" },
+    });
+  }
+});