Vibe Board

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\n \n

\n\n

\n\n\n\n`;\n}\n\n// --- API ROUTER & LOGIC ---\nconst app = new Hono();\n\n// Middleware to ensure the database is ready for every request.\napp.use(\"*\", async (c, next) => {\n try {\n await initializeDatabase();\n await next();\n } catch (dbError) {\n console.error(\"Database initialization failed:\", dbError);\n return c.json({ error: \"Could not connect to the database.\" }, 500);\n }\n});\n\n// Route to serve the main HTML page\napp.get(\"/\", (c) => {\n const url = new URL(c.req.url);\n // Ensure base URL passed to client ends with a slash for correct relative fetch paths.\n const sourceUrl = `${url.origin}${url.pathname}`;\n const safeSourceUrl = sourceUrl.endsWith(\"/\") ? sourceUrl : `${sourceUrl}/`;\n return c.html(generateHtml(safeSourceUrl));\n});\n\n// Route to fetch all approved messages\napp.get(\"/messages\", async (c) => {\n try {\n const { results } = await sqlite.execute(\n \"SELECT id, text, style FROM community_messages ORDER BY created_at DESC LIMIT 10\",\n );\n return c.json(results as Message[]);\n } catch (error) {\n console.error(\"Failed to fetch messages:\", error);\n return c.json({ error: \"Error fetching messages.\" }, 500);\n }\n});\n\n// Route to handle new message submissions\napp.post(\"/submit\", async (c) => {\n const openai = new OpenAI();\n const body = await c.req.json();\n const { text, style } = body;\n\n if (!text || typeof text !== \"string\" || text.trim().length === 0 || text.length > 50) {\n return c.json({ reason: \"Submission must be between 1 and 50 characters.\" }, 400);\n }\n if (!style || ![\"dots\", \"hash\"].includes(style)) {\n return c.json({ reason: \"A valid style ('dots' or 'hash') must be selected.\" }, 400);\n }\n\n try {\n const completion = await openai.chat.completions.create({\n model: \"gpt-4o\",\n messages: [\n { role: \"system\", content: VIBE_CHECK_PROMPT },\n { role: \"user\", content: `User submission: \"${text}\"` },\n ],\n response_format: { type: \"json_object\" },\n });\n\n const aiResponseString = completion.choices[0].message.content;\n let aiDecision;\n\n // Sanitize and parse the AI response.\n try {\n aiDecision = JSON.parse(aiResponseString);\n } catch {\n throw new Error(\"AI returned a malformed response.\");\n }\n\n if (aiDecision.approved === true) {\n await sqlite.execute({\n sql: \"INSERT INTO community_messages (text, style) VALUES (:text, :style)\",\n args: { text, style },\n });\n return c.json({ success: true, reason: aiDecision.reason });\n } else {\n return c.json({ reason: aiDecision.reason || \"The submission did not meet community guidelines.\" }, 400);\n }\n } catch (error) {\n console.error(\"Error during submission processing:\", error);\n return c.json({ reason: \"Could not process the submission due to an internal error.\" }, 500);\n }\n});\n\nexport default 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