Land Use Analysis Engine

Inputs

\n \n

Analysis Memo

Enter an address and click \"Find Code\", or manually enter code data. Then click \"Generate Memo\".

\n\n \n\n`;\n}\n\nconst app = new Hono();\n\napp.get(\"/\", (c) => {\n const sourceUrl = `https://${new URL(c.req.url).hostname}`;\n return c.html(generateHtml(sourceUrl));\n});\n\napp.post(\"/api/generate-code\", async (c) => {\n try {\n const { address } = await c.req.json();\n if (!address) {\n return c.json({ error: \"Address is a required field.\" }, 400);\n }\n\n const openai = new OpenAI();\n const completion = await openai.chat.completions.create({\n model: \"gpt-4o\",\n messages: [\n { role: \"system\", content: JURISDICTIONAL_CODE_GENERATOR_PROMPT },\n { role: \"user\", content: `Generate the Jurisdictional_Code JSON for the following address: ${address}` },\n ],\n response_format: { type: \"json_object\" },\n });\n\n const content = completion.choices[0].message.content;\n if (!content) {\n throw new Error(\"AI returned empty content.\");\n }\n\n const parsedContent = JSON.parse(content);\n return c.json(parsedContent);\n } catch (error) {\n console.error(\"Error in /api/generate-code:\", error);\n return c.json({ error: `Failed to generate jurisdictional code. Reason: ${error.message}` }, 500);\n }\n});\n\napp.post(\"/api/analyze\", async (c) => {\n try {\n const { propertyData, jurisdictionalCode, proposedUse } = await c.req.json();\n\n if (!propertyData || !jurisdictionalCode) {\n return c.json({ error: \"Property Data (P) and Jurisdictional Code (J) are required.\" }, 400);\n }\n\n const openai = new OpenAI();\n const userMessageContent = `\nHere is the Property_Data (P):\n\\`\\`\\`json\n${JSON.stringify(propertyData, null, 2)}\n\\`\\`\\`\n\nHere is the Jurisdictional_Code (J):\n\\`\\`\\`json\n${JSON.stringify(jurisdictionalCode, null, 2)}\n\\`\\`\\`\n\nHere is the Proposed_Use (U): \"${proposedUse || \"No specific use proposed. Focus on maximum residential potential.\"}\"\n`;\n\n const streamResponse = await openai.chat.completions.create({\n model: \"gpt-4o\",\n messages: [\n { role: \"system\", content: LAND_USE_ANALYSIS_PROMPT },\n { role: \"user\", content: userMessageContent },\n ],\n stream: true,\n });\n\n return stream(c, async (s) => {\n for await (const chunk of streamResponse) {\n const data = `data: ${JSON.stringify(chunk)}\\n\\n`;\n await s.write(data);\n }\n await s.write(\"data: [DONE]\\n\\n\");\n });\n } catch (error) {\n console.error(\"Error in /api/analyze:\", error);\n return c.json({ error: `Failed to process memo request. Reason: ${error.message}` }, 500);\n }\n});\n\nexport default app.fetch;","deleted","label","landuse",[98],"permalink","https://www.val.town/x/join/land-use/code/main.tsx","extension","actionData","errors"]