修复ChatGLM获取token方法,并且将非流式请求也接入

src/App.vue

@@ -10,7 +10,7 @@
 <script>
 import Chat from "./components/chat";
 import Settings from "./components/settings";
-import {ChatGPT} from "./utils/models";
+import {ChatGLM} from "./utils/models";
 
 export default {
   name: 'App',
@@ -19,14 +19,13 @@ export default {
     return {
       showSettings: false,
       setting: {
-        model: new ChatGPT(),
+        model: new ChatGLM(),
         stream: true
       },
     }
   },
   methods: {
     handleResize() {
-      console.log("App handleResize:" + window.innerWidth)
       this.showSettings = window.innerWidth > 1150;
     }
   },

src/components/settings.vue

@@ -10,7 +10,7 @@
       <el-form-item label="流式输出">
         <el-switch v-model="settings.stream" :active-value="true" :inactive-value="false"/>
       </el-form-item>
-      <el-form-item label="API KEY">
+      <el-form-item label="API KEY" v-if="isGPT">
         <el-row class="w100">
           <el-input v-model="settings.model.apiKey" clearable class="fill mar-r8"/>
           <el-button type="text" @click="getModelAccount">应用</el-button>
@@ -55,7 +55,9 @@ export default {
   },
   computed: {
     models: () => Object.values(models),
-    account: v => v.settings.account || {usage: 0, total: 0}
+    account: v => v.settings.account || {usage: 0, total: 0},
+    apiKey: v => v.settings.model.apiKey || "key无效或网络波动,请重新尝试",
+    isGPT: v => v.settings.model.name == "ChatGPT"
   },
   methods: {
     initModel(model) {
@@ -68,12 +70,13 @@ export default {
         }
       }, 500)
     },
-    getModelAccount() {
+    getModelAccount(c = 0) {
       const ai = this.settings.model
+      console.log(ai)
       if (ai.apiKey) {
         this.loadingAccount = true
         ai.getAccount().then(v => this.settings.account = v).finally(() => this.loadingAccount = false)
-      }
+      } else if (c < 5) setTimeout(() => this.getModelAccount(++c), 1000)
     }
   }
 }

src/utils/models.js

@@ -131,16 +131,37 @@ export class ChatGLM extends BaseModel {
 
   async getToken() {
     if (this.apiKey) return await this.apiKey
-    const timestamp = new TextEncoder().encode(Date.now().toFixed(0))
-    const encrypted = ChatGLM.encrypt(ChatGLM.publicKey, timestamp)
+    const encrypted = ChatGLM.encrypt(ChatGLM.publicKey)
     return await axios.post(ChatGLM.base + "/passApiToken/createApiToken", JSON.stringify({apiKey: "4e3ceff669c143dfa09e763663aa72cd", encrypted}), {
       headers: this.headers,
-    }).then(res => res.json()).then(data => data?.data || "key无效或网络波动,请重新尝试");
+    }).then(res => res.json()).then(data => data?.data);
   }
 
-  async chat(history, callback) {
-    const context = await axios.post(ChatGLM.base + "/v1/stream_context").then(res => res.json());
-    return await axios.get(ChatGPT.base + "/v1/stream", {params: context.result})
+  async chat(messages) {
+    const history = messages.map(e => e.msg)
+    history.pop()
+    const prompt = history.pop()
+    return await axios.post(ChatGLM.base + "/model/v1/open/engines/chatGLM/chatGLM", JSON.stringify({
+      history, prompt,
+      temperature: 1, top_p: 0.6, requestTaskNo: this.taskId
+    }), {headers: this.headers}).then(res => res.json()).then(data => {
+      if (data?.data.taskStatus == 'PROCESSING') {
+        return this.getChatResult(data.data.taskOrderNo)
+      } else {
+        return data?.data?.outputText || "key无效或网络波动,请重新尝试"
+      }
+    });
+  }
+
+  async getChatResult(taskOrderNo) {
+    return await axios.get(ChatGLM.base + `/request-task/query-request-task-result/${taskOrderNo}`,
+        {headers: this.headers}).then(res => res.json()).then(data => {
+      if (data?.data.taskStatus == 'PROCESSING') {
+        return this.getChatResult(data.data.taskOrderNo)
+      } else {
+        return data?.data?.outputText || "key无效或网络波动,请重新尝试"
+      }
+    })
   }
 
   async chatStream(messages) {
@@ -148,7 +169,6 @@ export class ChatGLM extends BaseModel {
     history.pop()
     const prompt = history.pop()
     const url = ChatGLM.base + "/model/v1/open/engines/sse/chatGLM/chatGLM"
-    // const url = ChatGLM.base + "/model/v2/open/engines/chatglm_qa_6b/chatglm_6b"
     return await axios.post(url, JSON.stringify({
       history, prompt,
       temperature: 1, top_p: 0.6, requestTaskNo: this.taskId
@@ -158,16 +178,16 @@ export class ChatGLM extends BaseModel {
   }
 
   static encrypt(publicKey, timestamp) {
-    const public_key = forge.util.decode64(publicKey)
-    const decoded_key = forge.asn1.fromDer(public_key); // 使用 fromDer 方法解码
-    const key = forge.pki.publicKeyFromAsn1(decoded_key); // 使用 publicKeyFromAsn1 方法导入公钥
-    const encrypted = key.encrypt(timestamp, 'RSAES-PKCS1-V1_5');
+    const publicKeyDer = forge.util.decode64(publicKey)
+    const key = forge.pki.publicKeyFromAsn1(forge.asn1.fromDer(publicKeyDer)); // 使用 publicKeyFromAsn1 方法导入公钥
+    timestamp = new TextEncoder().encode(Date.now().toFixed(0))
+    const encrypted = key.encrypt(timestamp);
     return forge.util.encode64(encrypted);
   }
 
   async getAccount() {
-    const {headers} = this
-    const usages = await axios.get("https://open.bigmodel.ai/api/paas/account/query-customer-account-report", {headers}).then(res => res.json());
+    const usages = await axios.get("https://open.bigmodel.ai/api/paas/account/query-customer-account-report",
+        {headers: this.headers}).then(res => res.json());
     if (usages.code == 200) {
       const {data} = usages
       return {