Add deploy command

README.md

@@ -65,6 +65,7 @@ GPT AI Assistant 是基於 OpenAI API 與 LINE Messaging API 實作的範例應
 `ai <text>` | 詢問 AI 問題
 `ai --auto-reply off` | 關閉 AI 自動回覆，須設置 `VERCEL_ACCESS_TOKEN` 環境變數
 `ai --auto-reply on` | 開啟 AI 自動回覆，須設置 `VERCEL_ACCESS_TOKEN` 環境變數
+`deploy` | 部署應用程式，須設置 `VERCEL_WEBHOOK_URL` 環境變數
 
 ## 環境變數
 
@@ -74,6 +75,7 @@ GPT AI Assistant 是基於 OpenAI API 與 LINE Messaging API 實作的範例應
 --- | --- | ---
 `APP_DEBUG` | `false` | 決定是否印出訊息，可設置為 `true` 或 `false`
 `VERCEL_ACCESS_TOKEN` | `null` | Vercel 的 [access token](/demo/vercel-access-token.png)
+`VERCEL_WEBHOOK_URL` | `null` | Vercel 的 [Webhook URL](/demo/vercel-webhook-url.png)
 `OPENAI_API_KEY` | `null` | OpenAI 的 [API key](/demo/openai-api-key.png)
 `OPENAI_COMPLETION_INIT_LANG` | `zh` | 決定初始語言，可設置為 `zh` 或 `en`
 `OPENAI_COMPLETION_MODEL` | `text-davinci-003` | 參見 [model](https://beta.openai.com/docs/api-reference/completions/create#completions/create-model) 說明

assistant/assistant.js

@@ -1,4 +1,3 @@
-import config from '../config/index.js';
 import {
   EVENT_TYPE_MESSAGE,
   MESSAGE_TYPE_TEXT,

assistant/event.js

@@ -2,6 +2,7 @@ import {
   COMMAND_AI,
   COMMAND_AI_AUTO_REPLY_OFF,
   COMMAND_AI_AUTO_REPLY_ON,
+  COMMAND_DEPLOY,
   COMMAND_VERSION,
 } from '../constants/command/index.js';
 
@@ -34,6 +35,10 @@ class Event {
     return this.input === COMMAND_VERSION;
   }
 
+  get isCommandDeploy() {
+    return this.input === COMMAND_DEPLOY;
+  }
+
   get isCommandAI() {
     return this.input.startsWith(COMMAND_AI);
   }

constants/command/index.js

@@ -1,4 +1,5 @@
 export const COMMAND_VERSION = 'version';
+export const COMMAND_DEPLOY = 'deploy';
 export const COMMAND_AI = 'ai';
 export const COMMAND_AI_AUTO_REPLY_OFF = 'ai --auto-reply off';
 export const COMMAND_AI_AUTO_REPLY_ON = 'ai --auto-reply on';

services/line/index.js

@@ -17,10 +17,14 @@ instance.interceptors.request.use((c) => {
   return c;
 });
 
-export const replyMessages = ({
+const replyMessages = ({
   replyToken,
   messages,
 }) => instance.post('/v2/bot/message/reply', {
   replyToken,
   messages,
 });
+
+export {
+  replyMessages,
+};

services/openai/index.js

@@ -19,7 +19,7 @@ instance.interceptors.request.use((c) => {
   return c;
 });
 
-export const createCompletion = ({
+const createCompletion = ({
   model = config.OPENAI_COMPLETION_MODEL,
   prompt,
   temperature = config.OPENAI_COMPLETION_TEMPERATURE,
@@ -39,3 +39,7 @@ export const createCompletion = ({
   presence_penalty: presencePenalty,
   stop,
 });
+
+export {
+  createCompletion,
+};

services/vercel/index.js

@@ -14,9 +14,9 @@ instance.interceptors.request.use((c) => {
   return c;
 });
 
-export const fetchEnvironments = () => instance.get(`/v9/projects/${config.VERCEL_GIT_REPO_SLUG}/env`);
+const fetchEnvironments = () => instance.get(`/v9/projects/${config.VERCEL_GIT_REPO_SLUG}/env`);
 
-export const createEnvironment = ({
+const createEnvironment = ({
   key,
   value,
   type = 'encrypted',
@@ -28,7 +28,7 @@ export const createEnvironment = ({
   target,
 });
 
-export const updateEnvironment = ({
+const updateEnvironment = ({
   id,
   value,
   type = 'encrypted',
@@ -39,6 +39,11 @@ export const updateEnvironment = ({
   target,
 });
 
-export const deploy = () => instance.post(config.VERCEL_WEBHOOK_URL);
+const deploy = () => axios.post(config.VERCEL_WEBHOOK_URL);
 
-export default null;
+export {
+  fetchEnvironments,
+  createEnvironment,
+  updateEnvironment,
+  deploy,
+};

tests/utils.js

@@ -3,11 +3,15 @@ import {
   MESSAGE_TYPE_TEXT,
 } from '../services/line/index.js';
 
-export const createEvents = (messages) => messages.map((message) => ({
+const createEvents = (messages) => messages.map((message) => ({
   replyToken: '',
   type: EVENT_TYPE_MESSAGE,
   source: { type: 'user', userId: '000000' },
   message: { type: MESSAGE_TYPE_TEXT, text: message },
 }));
 
+export {
+  createEvents,
+};
+
 export default null;