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Update Redis default image from redis:7 to redis:8 in: - packages/server/src/setup/redis-setup.ts (internal Redis setup) - packages/server/src/services/ai.ts (AI service template examples) - apps/dokploy/components/dashboard/project/add-database.tsx (UI default) Redis 8 provides better performance according to benchmarks while maintaining stability. Closes #4172.
258 lines
9.0 KiB
TypeScript
258 lines
9.0 KiB
TypeScript
import { db } from "@dokploy/server/db";
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import { ai } from "@dokploy/server/db/schema";
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import { selectAIProvider } from "@dokploy/server/utils/ai/select-ai-provider";
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import { TRPCError } from "@trpc/server";
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import { generateText, Output } from "ai";
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import { desc, eq } from "drizzle-orm";
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import { z } from "zod";
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import { IS_CLOUD } from "../constants";
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import { findServerById } from "./server";
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import { getWebServerSettings } from "./web-server-settings";
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interface SuggestionItem {
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id: string;
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name: string;
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shortDescription: string;
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description: string;
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}
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interface SuggestionsOutput {
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suggestions: SuggestionItem[];
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}
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interface DockerOutput {
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dockerCompose: string;
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envVariables: Array<{ name: string; value: string }>;
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domains: Array<{ host: string; port: number; serviceName: string }>;
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configFiles?: Array<{ content: string; filePath: string }> | null;
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}
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export const getAiSettingsByOrganizationId = async (organizationId: string) => {
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const aiSettings = await db.query.ai.findMany({
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where: eq(ai.organizationId, organizationId),
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orderBy: desc(ai.createdAt),
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});
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return aiSettings;
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};
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export const getAiSettingById = async (aiId: string) => {
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const aiSetting = await db.query.ai.findFirst({
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where: eq(ai.aiId, aiId),
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});
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if (!aiSetting) {
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throw new TRPCError({
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code: "NOT_FOUND",
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message: "AI settings not found",
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});
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}
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return aiSetting;
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};
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export const saveAiSettings = async (organizationId: string, settings: any) => {
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const aiId = settings.aiId;
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return db
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.insert(ai)
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.values({
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aiId,
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organizationId,
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...settings,
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})
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.onConflictDoUpdate({
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target: ai.aiId,
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set: {
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...settings,
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},
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});
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};
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export const deleteAiSettings = async (aiId: string) => {
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return db.delete(ai).where(eq(ai.aiId, aiId));
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};
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interface Props {
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organizationId: string;
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aiId: string;
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input: string;
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serverId?: string | undefined;
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}
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export const suggestVariants = async ({
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organizationId: _organizationId,
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aiId,
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input,
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serverId,
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}: Props) => {
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try {
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const aiSettings = await getAiSettingById(aiId);
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if (!aiSettings || !aiSettings.isEnabled) {
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throw new TRPCError({
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code: "NOT_FOUND",
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message: "AI features are not enabled for this configuration",
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});
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}
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const provider = selectAIProvider(aiSettings);
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const model = provider(aiSettings.model);
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let ip = "";
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if (!IS_CLOUD) {
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const settings = await getWebServerSettings();
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ip = settings?.serverIp || "";
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}
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if (serverId) {
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const server = await findServerById(serverId);
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ip = server.ipAddress;
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} else if (process.env.NODE_ENV === "development") {
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ip = "127.0.0.1";
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}
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const fullSchema = z.object({
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suggestions: z.array(
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z.object({
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id: z.string(),
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name: z.string(),
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shortDescription: z.string(),
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description: z.string(),
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dockerCompose: z.string(),
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envVariables: z.array(
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z.object({
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name: z.string(),
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value: z.string(),
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}),
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),
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domains: z.array(
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z.object({
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host: z.string(),
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port: z.number(),
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serviceName: z.string(),
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}),
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),
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configFiles: z
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.array(
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z.object({
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content: z.string(),
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filePath: z.string(),
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}),
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)
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.nullable(),
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}),
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),
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});
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const result = await generateText({
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model,
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// @ts-ignore - Zod + AI SDK Output.object() causes excessively deep instantiation
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output: Output.object({ schema: fullSchema }),
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prompt: `
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Act as advanced DevOps engineer. Analyze the user's request and generate up to 3 deployment suggestions, each with a complete docker compose configuration.
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CRITICAL - Read the user's request carefully and follow the appropriate strategy:
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Strategy A - If the user specifies a PARTICULAR APPLICATION/SERVICE (e.g., "deploy Chatwoot", "install sendingtk/chatwoot:develop", "setup Bitwarden"):
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- Generate different deployment VARIANTS of that SAME application
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- Each variant should be a different configuration (minimal, full stack, with different databases, development vs production, etc.)
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- Example: For "Chatwoot" → "Chatwoot with PostgreSQL", "Chatwoot Development", "Chatwoot Full Stack"
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- The name MUST include the specific application name the user mentioned
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Strategy B - If the user describes a GENERAL NEED or USE CASE (e.g., "personal blog", "project management tool", "chat application"):
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- Suggest different open source projects that fulfill that need
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- Each suggestion should be a different tool/platform that solves the same problem
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- Example: For "personal blog" → "WordPress", "Ghost", "Hugo with Nginx"
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- The name should be the actual project name
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Return your response as a JSON object with this structure:
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{
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"suggestions": [
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{
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"id": "project-or-variant-slug",
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"name": "Project Name or Variant Name",
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"shortDescription": "Brief one-line description",
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"description": "Detailed description of the project/variant",
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"dockerCompose": "yaml string here",
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"envVariables": [{"name": "VAR_NAME", "value": "example_value"}],
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"domains": [{"host": "domain.com", "port": 3000, "serviceName": "service"}],
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"configFiles": [{"content": "file content", "filePath": "path/to/file"}]
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}
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]
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}
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Suggestion Rules:
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1. Use slug format for the id field (lowercase, hyphenated)
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2. The description field should ONLY contain plain text — no code snippets or installation instructions
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3. The shortDescription should be a single-line summary focusing on key technologies or differentiators
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4. All suggestions should be installable in docker and have docker compose support
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5. Provide variety in your suggestions - different complexity levels, tech stacks, or approaches
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Docker Compose Rules:
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1. Use placeholder like \${VARIABLE_NAME-default} for generated variables in the docker-compose.yml
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2. Use complex values for passwords/secrets variables
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3. Don't set container_name field in services
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4. Don't set version field in the docker compose
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5. Don't set ports like 'ports: 3000:3000', use 'ports: "3000"' instead
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6. If a service depends on a database or other service, INCLUDE that service in the docker-compose
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7. Make sure all required services are defined in the docker-compose
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Docker Image Rules (CRITICAL):
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1. ALWAYS use 'image:' field, NEVER use 'build:' field
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2. NEVER use 'build: .' or any build directive - we don't have local Dockerfiles
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3. Use images from Docker Hub or other public registries (e.g., docker.io, ghcr.io, quay.io)
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4. For dependencies (databases, redis, etc.), use official images (e.g., postgres:16, redis:8, etc.)
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5. Always specify image tags - avoid using 'latest' tag, use specific versions when possible
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6. Examples of correct image usage:
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- image: sendingtk/chatwoot:develop
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- image: postgres:16-alpine
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- image: redis:8-alpine
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7. Examples of INCORRECT usage (DO NOT USE):
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- build: .
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- build: ./app
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- build:
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context: .
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dockerfile: Dockerfile
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Volume Mounting and Configuration Rules:
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1. DO NOT create configuration files unless the service CANNOT work without them
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2. Most services can work with just environment variables - USE THEM FIRST
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3. If and ONLY IF a config file is absolutely required:
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- Keep it minimal with only critical settings
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- Use "../files/" prefix for all mounts
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- Format: "../files/folder:/container/path"
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4. DO NOT add configuration files for default configs, env-configurable settings, or proxy/routing configs
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Environment Variables Rules:
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1. For the envVariables array, provide ACTUAL example values, not placeholders
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2. Use realistic example values (e.g., "admin@example.com" for emails, "mypassword123" for passwords)
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3. DO NOT use \${VARIABLE_NAME-default} syntax in the envVariables values
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4. ONLY include environment variables that are actually used in the docker-compose
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5. Every environment variable referenced in the docker-compose MUST have a corresponding entry in envVariables
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Domain Rules - For each service that needs to be exposed to the internet:
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1. Define a domain with:
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- host: {service-name}-{random-3-chars-hex}-${ip ? ip.replaceAll(".", "-") : ""}.sslip.io
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- port: the internal port the service runs on
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- serviceName: the name of the service in the docker-compose
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2. Make sure the service is properly configured to work with the specified port
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User's request: ${input}
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`,
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});
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const output = result.output as
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| { suggestions: (SuggestionItem & DockerOutput)[] }
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| undefined;
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if (!output?.suggestions?.length) {
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throw new TRPCError({
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code: "NOT_FOUND",
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message: "No suggestions found",
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});
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}
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return output.suggestions.filter((s) => s.dockerCompose);
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} catch (error) {
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console.error("Error in suggestVariants:", error);
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throw error;
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}
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};
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