关于 telegram-bot-grammy
用于使用 grammY 和 TypeScript 在 Cloudflare Workers 上开发 Telegram 机器人的技能,涵盖项目搭建、D1 数据管理、测试及开发和生产环境部署。
主要功能
- 01grammY 与 TypeScript 项目搭建
- 02Cloudflare Workers 运行时配置
- 03Drizzle ORM 与 Cloudflare D1
- 04使用 Vitest 测试、Biome 检查代码
- 05通过 GitHub Actions 部署多环境
适用场景
- 01启动 Telegram 机器人项目
- 02使用 Cloudflare D1 管理机器人数据
- 03部署前测试代码更改
- 04分别部署开发与生产版本
安装
复制下面的命令,在终端中运行。
$
npx skills add https:/ / github.com/ pbnicad/ telegram-bot-grammy-skill --skill telegram-bot-grammy安装后在 Claude Code 中输入/telegram-bot-grammy确认已加载。
包含的文件
除 SKILL.md 外,安装时一起下载的参考资料和脚本。
README.md.gitignoreassets/biome.jsonpre-commitvitest.config.tspackage.jsondrizzle.config.tstsconfig.jsonwrangler.tomlassets/.github/workflows/ci.ymlassets/migrations/0001_init.sqlassets/src/index.tsassets/src/db/schema.tsassets/test/bot.test.ts详细介绍
Telegram Bot 开发技能(grammY + Cloudflare Workers)
技术栈
| 组件 | 技术 |
|---|---|
| 框架 | grammY |
| 语言 | TypeScript |
| 运行时 | Cloudflare Workers |
| ORM | Drizzle ORM |
| 数据库 | Cloudflare D1(SQLite) |
| 测试 | Vitest |
| 代码检查 | Biome |
| 包管理器 | pnpm |
| Git 钩子 | Husky + lint-staged |
| CI/CD | GitHub Actions(多环境) |
环境配置
| 分支 | 环境 | Worker 名称 | 数据库 |
|---|---|---|---|
dev | 开发 | my-telegram-bot-dev | telegram-bot-db-dev |
main | 生产 | my-telegram-bot | telegram-bot-db |
项目初始化
1. 创建项目
pnpm create cloudflare@latest my-telegram-bot
# Select: "Hello World" Worker, TypeScript: Yes, Git: Yes, Deploy: No
cd my-telegram-bot
2. 安装依赖
# Core dependencies
pnpm add grammy drizzle-orm
# Dev dependencies
pnpm add -D drizzle-kit vitest @vitest/coverage-v8 @biomejs/biome husky lint-staged
3. 创建 Drizzle 配置(drizzle.config.ts)
import { defineConfig } from "drizzle-kit";
export default defineConfig({
schema: "./src/db/schema.ts",
out: "./migrations",
dialect: "sqlite",
});
4. 定义数据库架构(src/db/schema.ts)
import { relations, sql } from "drizzle-orm";
import { integer, sqliteTable, text, uniqueIndex } from "drizzle-orm/sqlite-core";
export const users = sqliteTable(
"users",
{
id: integer("id").primaryKey({ autoIncrement: true }),
telegramId: text("telegram_id").notNull(),
username: text("username"),
firstName: text("first_name"),
createdAt: text("created_at").notNull().default(sql`CURRENT_TIMESTAMP`),
updatedAt: text("updated_at").notNull().default(sql`CURRENT_TIMESTAMP`),
},
(table) => [uniqueIndex("users_telegram_id_unique").on(table.telegramId)]
);
export const settings = sqliteTable(
"settings",
{
id: integer("id").primaryKey({ autoIncrement: true }),
userId: integer("user_id")
.notNull()
.references(() => users.id, { onDelete: "cascade" }),
key: text("key").notNull(),
value: text("value"),
},
(table) => [uniqueIndex("settings_user_id_key_unique").on(table.userId, table.key)]
);
export const usersRelations = relations(users, ({ many }) => ({
settings: many(settings),
}));
5. 配置 wrangler.toml(多环境)
name = "my-telegram-bot"
main = "src/index.ts"
compatibility_date = "2024-01-01"
compatibility_flags = ["nodejs_compat"]
[env.dev]
name = "my-telegram-bot-dev"
[env.dev.vars]
BOT_INFO = """{ "id": 123456789, "is_bot": true, "first_name": "MyBotDev", "username": "my_bot_dev" }"""
[[env.dev.d1_databases]]
binding = "DB"
database_name = "telegram-bot-db-dev"
database_id = "<DEV_DATABASE_ID>"
[env.production]
name = "my-telegram-bot"
[env.production.vars]
BOT_INFO = """{ "id": 987654321, "is_bot": true, "first_name": "MyBot", "username": "my_bot" }"""
[[env.production.d1_databases]]
binding = "DB"
database_name = "telegram-bot-db"
database_id = "<PRODUCTION_DATABASE_ID>"
6. 创建 D1 数据库
# Create development database
pnpm exec wrangler d1 create telegram-bot-db-dev
# Create production database
pnpm exec wrangler d1 create telegram-bot-db
# Copy database_id to wrangler.toml
7. 数据库迁移
# Create migration file
pnpm exec wrangler d1 migrations create telegram-bot-db-dev init
# Generate SQL files from Drizzle schema
pnpm exec drizzle-kit generate
# Apply to development
pnpm exec wrangler d1 migrations apply telegram-bot-db-dev --local
pnpm exec wrangler d1 migrations apply telegram-bot-db-dev --remote
# Apply to production
pnpm exec wrangler d1 migrations apply telegram-bot-db --remote
8. 配置 Git 钩子
pnpm exec husky init
.husky/pre-commit:
pnpm exec lint-staged
pnpm test
代码结构
入口文件(src/index.ts)
import { drizzle } from "drizzle-orm/d1";
import { sql } from "drizzle-orm";
import { Bot, webhookCallback } from "grammy";
import { users } from "./db/schema";
export interface Env {
BOT_TOKEN: string;
BOT_INFO: string;
DB: D1Database;
}
export default {
async fetch(request: Request, env: Env): Promise<Response> {
const db = drizzle(env.DB);
const bot = new Bot(env.BOT_TOKEN, {
botInfo: JSON.parse(env.BOT_INFO),
});
bot.command("start", async (ctx) => {
const user = ctx.from;
if (user) {
await db
.insert(users)
.values({
telegramId: String(user.id),
username: user.username ?? null,
firstName: user.first_name ?? null,
})
.onConflictDoUpdate({
target: users.telegramId,
set: {
username: user.username ?? null,
firstName: user.first_name ?? null,
updatedAt: sql`CURRENT_TIMESTAMP`,
},
});
}
await ctx.reply("Welcome to the Bot!");
});
return webhookCallback(bot, "cloudflare-mod")(request);
},
};
GitHub Actions CI/CD
工作流概览
| 分支 | 触发方式 | 目标环境 |
|---|---|---|
dev | push | 开发(my-telegram-bot-dev) |
main | push | 生产(my-telegram-bot) |
| PR | - | 仅测试,不部署 |
.github/workflows/ci.yml
name: CI/CD
on:
push:
branches: [main, dev]
pull_request:
branches: [main, dev]
jobs:
test:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v4
- uses: pnpm/action-setup@v4
- uses: actions/setup-node@v4
with:
node-version: 20
cache: pnpm
- run: pnpm install --frozen-lockfile
- run: pnpm run lint
- run: pnpm run test
deploy-dev:
needs: test
if: github.ref == 'refs/heads/dev' && github.event_name == 'push'
environment: development
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v4
- uses: pnpm/action-setup@v4
- uses: actions/setup-node@v4
- run: pnpm install --frozen-lockfile
- uses: cloudflare/wrangler-action@v3
with:
apiToken: ${{ secrets.CLOUDFLARE_API_TOKEN }}
environment: dev
deploy-production:
needs: test
if: github.ref == 'refs/heads/main' && github.event_name == 'push'
environment: production
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v4
- uses: pnpm/action-setup@v4
- uses: actions/setup-node@v4
- run: pnpm install --frozen-lockfile
- uses: cloudflare/wrangler-action@v3
with:
apiToken: ${{ secrets.CLOUDFLARE_API_TOKEN }}
environment: production
GitHub 配置
机密信息(Settings -> Secrets and variables -> Actions):
CLOUDFLARE_API_TOKEN:Cloudflare API Token
环境(Settings -> Environments):
development:可选的保护规则production:建议配置 Required reviewers
部署
手动部署
# Deploy to development
pnpm exec wrangler deploy --env dev
# Deploy to production
pnpm exec wrangler deploy --env production
设置机密信息
# Development
pnpm exec wrangler secret put BOT_TOKEN --env dev
# Production
pnpm exec wrangler secret put BOT_TOKEN --env production
设置 Webhook
# Development
curl "https://api.telegram.org/bot<DEV_TOKEN>/setWebhook?url=https://my-telegram-bot-dev.<subdomain>.workers.dev/"
# Production
curl "https://api.telegram.org/bot<PROD_TOKEN>/setWebhook?url=https://my-telegram-bot.<subdomain>.workers.dev/"
参考资料
评论
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