mirror of
https://github.com/hanzoai/dataroom.git
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hanzo-build-linux-amd64 is the only ARC runner pool installed on hanzo-k8s today (arm64 pool is paused until DigitalOcean ships arm64 droplets, per ~/work/hanzo/.github/RUNNERS.md). The arm64 job was waiting on spark-hanzoai-arm64 — not provisioned in this cluster — so every build sat in queue forever and the amd64 leg got cancelled. Set platforms: linux/amd64 on the reusable build call to skip arm64 entirely. Re-add arm64 if/when DO ships arm64 droplets and the spark runner pool comes back online.
135 lines
3.5 KiB
TypeScript
135 lines
3.5 KiB
TypeScript
import { NextRequest, NextResponse } from "next/server";
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import { getServerSession } from "next-auth";
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import { authOptions } from "@/pages/api/auth/[...nextauth]";
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import { z } from "zod";
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import prisma from "@/lib/prisma";
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import { CustomUser } from "@/lib/types";
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// GET /app/(ee)/api/workflows/[workflowId]/executions?teamId=xxx - List workflow executions
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export async function GET(
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req: NextRequest,
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{ params }: { params: { workflowId: string } },
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) {
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try {
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const session = await getServerSession(authOptions);
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if (!session) {
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return NextResponse.json({ error: "Unauthorized" }, { status: 401 });
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}
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const { workflowId } = params;
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const searchParams = req.nextUrl.searchParams;
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const teamId = searchParams.get("teamId");
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if (!teamId) {
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return NextResponse.json(
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{ error: "teamId parameter is required" },
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{ status: 400 },
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);
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}
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// Parse and validate pagination parameters
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const rawPage = Number.parseInt(searchParams.get("page") || "1", 10);
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const rawLimit = Number.parseInt(searchParams.get("limit") || "20", 10);
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// Apply defaults for invalid values and enforce constraints
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const page = Number.isNaN(rawPage) || rawPage < 1 ? 1 : rawPage;
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const limit = Number.isNaN(rawLimit) || rawLimit < 1
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? 20
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: Math.min(Math.max(rawLimit, 1), 100); // Min 1, Max 100
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const skip = (page - 1) * limit;
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// Validate IDs format
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const idsValidation = z.object({
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workflowId: z.string().cuid(),
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teamId: z.string().cuid(),
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}).safeParse({ workflowId, teamId });
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if (!idsValidation.success) {
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return NextResponse.json(
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{ error: "Invalid ID format" },
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{ status: 400 },
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);
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}
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const userId = (session.user as CustomUser).id;
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// Check user is part of the team using userTeam table
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const teamAccess = await prisma.userTeam.findUnique({
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where: {
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userId_teamId: {
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userId: userId,
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teamId: teamId,
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},
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},
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});
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if (!teamAccess) {
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return NextResponse.json(
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{ error: "Unauthorized to access this team" },
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{ status: 403 },
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);
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}
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// Check workflow exists and belongs to team
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const workflow = await prisma.workflow.findUnique({
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where: {
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id: workflowId,
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teamId: teamId,
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},
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select: {
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id: true,
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},
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});
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if (!workflow) {
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return NextResponse.json(
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{ error: "Workflow not found" },
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{ status: 404 },
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);
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}
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// Fetch executions with pagination
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const [executions, totalCount] = await Promise.all([
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prisma.workflowExecution.findMany({
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where: { workflowId },
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include: {
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stepLogs: {
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select: {
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id: true,
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workflowStepId: true,
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conditionsMatched: true,
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executedAt: true,
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duration: true,
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error: true,
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},
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orderBy: { executedAt: "asc" },
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},
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},
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orderBy: { startedAt: "desc" },
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skip,
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take: limit,
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}),
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prisma.workflowExecution.count({
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where: { workflowId },
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}),
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]);
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return NextResponse.json({
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executions,
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pagination: {
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page,
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limit,
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totalCount,
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totalPages: Math.ceil(totalCount / limit),
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},
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});
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} catch (error) {
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console.error("Error fetching workflow executions:", error);
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return NextResponse.json(
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{ error: "Internal server error" },
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{ status: 500 },
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);
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}
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}
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