Battery Optimization Engine

Input: System Data Snapshot

\n \n

Output: AI Recommendation

Awaiting input to generate optimization plan...

\n\n\n\n`;\n}\n\n// --- MAIN VAL FUNCTION ---\nexport default async function (req: Request): Promise {\n const url = new URL(req.url);\n\n // Serve the HTML frontend for GET requests\n if (req.method === \"GET\") {\n const exampleInputData = {\n \"timestamp_utc\": \"2025-10-26T10:00:00Z\",\n \"battery_state\": {\n \"state_of_charge_percent\": 35.0,\n \"state_of_health_percent\": 97.5,\n \"temperature_celsius\": 22.0,\n \"current_power_kw\": 0.0,\n \"cycles\": 450,\n },\n \"external_factors\": {\n \"grid\": { \"price_per_kwh\": 0.11, \"carbon_intensity_gco2_per_kwh\": 150 },\n \"solar\": { \"current_generation_kw\": 2.5 },\n \"load\": { \"current_demand_kw\": 0.8 },\n },\n \"forecasts\": {\n \"load_demand_next_4_hours_kw\": [0.9, 1.0, 4.5, 5.0],\n \"solar_generation_next_4_hours_kw\": [4.0, 5.5, 5.2, 4.8],\n \"grid_price_next_4_hours_per_kwh\": [0.12, 0.12, 0.35, 0.45],\n \"grid_carbon_next_4_hours_gco2_per_kwh\": [140, 135, 300, 325],\n },\n \"user_preferences\": {\n \"mode\": \"balanced\",\n \"cost_savings_priority\": 0.6,\n \"battery_longevity_priority\": 0.3,\n \"carbon_footprint_priority\": 0.1,\n \"backup_reserve_percent\": 20.0,\n },\n };\n const sourceUrl = `https://${url.hostname}${url.pathname}`;\n return new Response(generateHtml(sourceUrl, exampleInputData), {\n headers: { \"Content-Type\": \"text/html\" },\n });\n }\n\n // Handle POST requests for AI optimization\n if (req.method === \"POST\") {\n try {\n const input_data = await req.json();\n\n // Basic validation\n if (!input_data.battery_state || !input_data.user_preferences) {\n throw new Error(\"Input data is missing required fields.\");\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: SYSTEM_PROMPT },\n { role: \"user\", content: JSON.stringify(input_data, null, 2) },\n ],\n temperature: 0.2, // Low temperature for deterministic, engine-like behavior\n response_format: { type: \"json_object\" },\n });\n\n const aiResponse = completion.choices[0].message.content;\n\n // The 'json_object' mode should prevent conversational text, but we parse defensively.\n let parsedResponse;\n try {\n parsedResponse = JSON.parse(aiResponse);\n } catch (e) {\n console.error(\"Failed to parse AI response as JSON:\", aiResponse);\n throw new Error(\"AI returned a malformed JSON object.\");\n }\n\n return new Response(JSON.stringify(parsedResponse), {\n headers: { \"Content-Type\": \"application/json\" },\n status: 200,\n });\n } catch (error) {\n console.error(\"Battery Optimizer Val Error:\", error);\n return new Response(JSON.stringify({ error: error.message }), {\n headers: { \"Content-Type\": \"application/json\" },\n status: 500,\n });\n }\n }\n\n // Fallback for other methods\n return new Response(\"Method Not Allowed\", { status: 405 });\n}","deleted","label",[99],"permalink","https://www.val.town/x/know/untitled-5616/code/main.ts","extension","actionData","errors"]