62 lines
2.3 KiB
TypeScript
62 lines
2.3 KiB
TypeScript
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import { NextResponse } from "next/server"
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import { and, eq } from "drizzle-orm"
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import { db } from "@/lib/db"
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import { properties, maintenance_requests } from "@/lib/db/schema"
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import { getSessionUser } from "@/lib/session"
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import { openai } from "@/lib/ai/client"
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import { MAINTENANCE_SUMMARY_PROMPT, dataBlock } from "@/lib/ai/prompts"
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import { enforceAiQuota } from "@/lib/ai/usage"
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export async function POST(request: Request) {
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const user = await getSessionUser()
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if (!user) return NextResponse.json({ error: "Unauthorized" }, { status: 401 })
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const quota = await enforceAiQuota(user.id, "ai_maintenance_summary")
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if (!quota.ok) return NextResponse.json({ error: quota.error }, { status: quota.status })
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const { property_id } = await request.json() as { property_id: string }
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const requests = await db
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.select({
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title: maintenance_requests.title,
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description: maintenance_requests.description,
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category: maintenance_requests.category,
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priority: maintenance_requests.priority,
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status: maintenance_requests.status,
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estimated_cost: maintenance_requests.estimated_cost,
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actual_cost: maintenance_requests.actual_cost,
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created_at: maintenance_requests.created_at,
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resolved_at: maintenance_requests.resolved_at,
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})
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.from(maintenance_requests)
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.where(and(eq(maintenance_requests.user_id, user.id), eq(maintenance_requests.property_id, property_id)))
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const property = await db.query.properties.findFirst({
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where: and(eq(properties.id, property_id), eq(properties.user_id, user.id)),
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columns: { name: true },
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})
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const completion = await openai.chat.completions.create({
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model: "gpt-4o-mini",
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max_tokens: 1024,
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messages: [
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{ role: "system", content: MAINTENANCE_SUMMARY_PROMPT },
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{
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role: "user",
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content: `${dataBlock("PROPERTY NAME", property?.name ?? "Unknown")}\n\n${dataBlock("MAINTENANCE REQUESTS", JSON.stringify(requests, null, 2))}`,
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},
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],
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})
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const text = completion.choices[0].message.content ?? ""
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let summary
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try {
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summary = JSON.parse(text.replace(/```json\n?/g, "").replace(/```\n?/g, "").trim())
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} catch {
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return NextResponse.json({ error: "Failed to parse AI response" }, { status: 500 })
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}
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return NextResponse.json(summary)
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}
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