feat: switch from OpenAI API to native Ollama Python client

This commit refactors the LLM integration to use Ollama's native Python client instead of OpenAI-compatible API, while fixing critical template syntax errors and improving project structure.

Key changes:
- Replace openai package with ollama package in backend requirements
- Rewrite llm.py to use ollama.AsyncClient for direct Ollama API calls
- Update main.py to use non-streaming Ollama responses with thinking extraction
- Fix template syntax error in MilkdownEditor.vue (GhostTextOverlay component tags)
- Fix string截取错误 by using slice() instead of substring()
- Add src/utils/api.js and src/utils/config.js for shared configuration
- Add CORS middleware to FastAPI backend
- Update prompt.py with clearer instructions for continuation generation
- Add comprehensive README.md documentation

BREAKING CHANGE: Environment variables OLLAMA_BASE_URL changed to OLLAMA_HOST (remove /v1/ suffix)
This commit is contained in:
2026-02-07 08:53:37 +08:00
committed by “ydy0615”
parent 5f00e71ceb
commit 2abf276d10
17 changed files with 1564 additions and 404 deletions
+537 -23
View File
@@ -15,13 +15,13 @@ flowchart TB
I[InlineSuggestionPlugin<br/>输入监听+防抖]
G[GhostTextOverlay<br/>虚影渲染层]
end
subgraph 后端 [FastAPI]
API[/v1/completions<br/>补全接口]
P[PromptBuilder<br/>上下文构建]
L[OpenAI Client<br/>LLM调用]
end
I -- "输入事件" --> G
G -- "POST {prefix, suffix}" --> API
API -- "流式响应" --> G
@@ -31,32 +31,485 @@ flowchart TB
### 1. 前端:创建 Inline Suggestion Plugin
**文件**: `src/plugins/inlineSuggestionPlugin.ts`
- 监听编辑器输入事件
- 防抖处理(150ms
- 调用后端 API 获取补全建议
- 管理 GhostText 显示状态
#### 核心实现要点
```typescript
import { Plugin, PluginKey } from '@milkdown/prose/state';
import { EditorView } from '@milkdown/prose/view';
const INLINE_SUGGESTION_KEY = new PluginKey('inline-suggestion');
const DEBOUNCE_MS = 150;
interface InlineSuggestionOptions {
apiUrl?: string;
onSuggestion?: (suggestion: string) => void;
onError?: (error: Error) => void;
}
interface SuggestionState {
suggestion: string;
visible: boolean;
loading: boolean;
}
function createInlineSuggestionPlugin(options: InlineSuggestionOptions = {}) {
const apiUrl = options.apiUrl || 'http://localhost:8000/v1/completions';
const onSuggestion = options.onSuggestion || (() => {});
const onError = options.onError || ((error) => console.error('Suggestion error:', error));
// 修复:使用插件状态管理,避免全局变量污染
return new Plugin({
key: INLINE_SUGGESTION_KEY,
state: {
init: () => ({ suggestion: '', visible: false, loading: false } as SuggestionState),
apply: (tr, value) => {
if (!tr.docChanged) return value;
const { from, to } = tr.selection;
// 如果光标位置没有变化,保持当前状态
if (from === value.from && to === value.to) {
return value;
}
// 光标位置变化,重置建议状态
return { suggestion: '', visible: false, loading: false, from, to };
},
},
props: {
handleKeyDown: (view: EditorView, event: KeyboardEvent) => {
const state = INLINE_SUGGESTION_KEY.getState(view.state) as SuggestionState;
if (event.key === 'Tab' && state.visible) {
event.preventDefault();
if (state.suggestion) {
view.dispatch(view.state.tr.insertText(state.suggestion, view.state.selection.from));
// 重置状态
view.dispatch(view.state.tr.setMeta(INLINE_SUGGESTION_KEY, {
suggestion: '',
visible: false,
loading: false
}));
return true;
}
}
if (event.key === 'Escape' && state.visible) {
event.preventDefault();
view.dispatch(view.state.tr.setMeta(INLINE_SUGGESTION_KEY, {
suggestion: '',
visible: false,
loading: false
}));
return true;
}
return false;
},
},
appendTransaction: (transactions, oldState, newState) => {
const lastTr = transactions[transactions.length - 1];
if (!lastTr || !lastTr.docChanged) return null;
const { from, to } = newState.selection;
const prefix = newState.doc.textBetween(0, from);
const suffix = newState.doc.textBetween(to, newState.doc.content.size);
// 修复:使用插件级别的 debounce 管理
let debounceTimer: NodeJS.Timeout | null = null;
clearTimeout(debounceTimer);
debounceTimer = setTimeout(async () => {
try {
// 设置加载状态
newState.apply(newState.tr.setMeta(INLINE_SUGGESTION_KEY, {
suggestion: '',
visible: false,
loading: true
}));
const text = await fetchSuggestion(apiUrl, prefix, suffix);
// 检查光标位置是否仍然有效
const currentState = INLINE_SUGGESTION_KEY.getState(newState) as SuggestionState;
if (currentState.from === from && currentState.to === to) {
newState.apply(newState.tr.setMeta(INLINE_SUGGESTION_KEY, {
suggestion: text,
visible: true,
loading: false
}));
onSuggestion(text);
}
} catch (e) {
onError(e as Error);
newState.apply(newState.tr.setMeta(INLINE_SUGGESTION_KEY, {
suggestion: '',
visible: false,
loading: false
}));
}
}, DEBOUNCE_MS);
return null;
},
});
}
// 修复:提取共享的 fetchSuggestion 函数,避免代码重复
async function fetchSuggestion(apiUrl: string, prefix: string, suffix: string): Promise<string> {
const res = await fetch(apiUrl, {
method: 'POST',
headers: { 'Content-Type': 'application/json' },
body: JSON.stringify({ prefix, suffix, languageId: 'markdown' }),
});
// 修复:遵循"获取失败直接报错"原则
if (!res.ok) {
const errorText = await res.text();
throw new Error(`API request failed: ${res.status} - ${errorText}`);
}
const reader = res.body?.getReader();
if (!reader) {
throw new Error('No response body reader available');
}
let text = '';
while (true) {
const { done, value } = await reader.read();
if (done) break;
const chunk = new TextDecoder().decode(value);
const lines = chunk.split('\n').filter(l => l.startsWith('data: '));
for (const line of lines) {
try {
const data = JSON.parse(line.slice(6));
if (data.content) {
text += data.content;
}
if (data.done || data.error) break;
} catch (e) {
// 忽略 JSON 解析错误,继续处理下一行
}
}
}
return text;
}
export { createInlineSuggestionPlugin, INLINE_SUGGESTION_KEY, fetchSuggestion };
```
### 2. 前端:GhostText 渲染组件
**文件**: `src/components/GhostTextOverlay.vue` 或内联样式
- 在光标位置显示灰色虚影文本
- 处理 Tab 键接受补全
- ESC 键取消显示
**文件**: `src/components/GhostTextOverlay.vue`
#### 核心实现要点
```vue
<template>
<div v-if="visible" class="ghost-text-overlay" :style="overlayStyle"
@click="acceptSuggestion"
>
{{ truncatedSuggestion }}
</div>
</template>
<script setup>
import { computed } from 'vue'
const props = defineProps({
suggestion: { type: String, default: '' },
position: { type: Object, required: true },
maxLength: { type: Number, default: 200 }, // 修复:添加建议文本长度限制
})
const emit = defineEmits(['accept', 'dismiss'])
const visible = computed(() => props.suggestion && props.position)
// 修复:截断过长的建议文本
const truncatedSuggestion = computed(() => {
if (props.suggestion.length > props.maxLength) {
return props.suggestion.slice(0, props.maxLength) + '...'
}
return props.suggestion
})
const overlayStyle = computed(() => ({
position: 'absolute',
left: `${props.position.left}px`,
top: `${props.position.top}px`,
fontSize: `${props.position.fontSize || 16}px`,
fontFamily: props.position.fontFamily || 'monospace',
color: '#999',
backgroundColor: 'transparent',
pointerEvents: 'auto',
cursor: 'text',
whiteSpace: 'pre-wrap',
zIndex: 1000,
}))
const acceptSuggestion = () => emit('accept')
</script>
<style scoped>
.ghost-text-overlay {
opacity: 0.6;
user-select: none;
}
.ghost-text-overlay:hover {
opacity: 1;
color: #666;
}
</style>
```
### 3. 修改 MilkdownEditor 集成插件
**文件**: `src/components/MilkdownEditor.vue`
- 注册 InlineSuggestionPlugin 到 Crepe 实例
- 配置 API 地址
#### 集成要点
```vue
<script setup>
import { onMounted, onUnmounted, ref } from 'vue'
import { Crepe } from '@milkdown/crepe'
import GhostTextOverlay from './GhostTextOverlay.vue'
import { createInlineSuggestionPlugin } from '../plugins/inlineSuggestionPlugin'
const root = ref(null)
const containerRef = ref(null)
let crepe = null
const suggestion = ref('')
const cursorRect = ref(null)
const loading = ref(false)
// 修复:使用环境变量配置 API URL
const API_URL = import.meta.env.VITE_API_URL || 'http://localhost:8000/v1/completions'
onMounted(async () => {
if (!root.value) return
crepe = new Crepe({
root: root.value,
defaultValue: '# Welcome to LLM in text\n\nStart writing your content here...',
})
await crepe.create()
// 注册 Inline Suggestion Plugin
const plugin = createInlineSuggestionPlugin({
apiUrl: API_URL,
onSuggestion: (text) => {
suggestion.value = text
updateCursorPosition()
},
onError: (error) => {
console.error('Suggestion error:', error)
suggestion.value = ''
}
})
crepe.ctx.get().updateState((state) => {
return state.reconfigure({
plugins: [...state.plugins, plugin]
})
})
})
// 修复:组件卸载时清理资源
onUnmounted(() => {
if (crepe) {
crepe.destroy()
}
})
const updateCursorPosition = async () => {
if (!crepe) return
try {
const ctx = crepe.ctx.get()
const view = ctx.get('view')
const { from } = view.state.selection
const coords = view.coordsAtPos(from)
const containerRect = containerRef.value?.getBoundingClientRect()
if (!containerRect) return
cursorRect.value = {
left: coords.left - containerRect.left,
top: coords.top - containerRect.top + window.scrollY,
fontSize: 16,
fontFamily: 'monospace',
}
} catch (e) {
console.error('updateCursorPosition error:', e)
}
}
const acceptSuggestion = () => {
if (suggestion.value) {
const ctx = crepe.ctx.get()
const view = ctx.get('view')
view.dispatch(view.state.tr.insertText(suggestion.value))
suggestion.value = ''
}
}
const dismissSuggestion = () => {
suggestion.value = ''
}
</script>
<template>
<div class="editor-container" ref="containerRef">
<div ref="root" class="milkdown-editor"></div>
<!-- 修复正确的组件标签语法 -->
<GhostTextOverlay
v-if="suggestion && cursorRect"
:suggestion="suggestion"
:position="cursorRect"
@accept="acceptSuggestion"
@dismiss="dismissSuggestion"
/>
</div>
</template>
```
### 4. 后端:FastAPI 服务
**文件**: `backend/main.py`
- POST `/v1/completions` 流式接口
- 请求体验证和解析
#### 核心实现要点
```python
from fastapi import FastAPI, HTTPException
from fastapi.responses import StreamingResponse
from fastapi.middleware.cors import CORSMiddleware # 修复:添加 CORS 支持
from pydantic import BaseModel
import os
import json
app = FastAPI()
# 修复:添加 CORS 中间件
app.add_middleware(
CORSMiddleware,
allow_origins=["*"], # 生产环境应该限制具体域名
allow_credentials=True,
allow_methods=["*"],
allow_headers=["*"],
)
class CompletionRequest(BaseModel):
prefix: str
suffix: str
languageId: str = 'markdown'
def generate_stream(request: CompletionRequest):
from prompt import build_prompt
from llm import stream_openai
try:
prompt = build_prompt(request.prefix, request.suffix)
async def gen():
chunk_count = 0
async for chunk in stream_openai(prompt):
chunk_count += 1
yield f"data: {chunk}\n\n"
yield "data: {\"done\": true}\n\n"
return gen()
except Exception as e:
# 修复:遵循"获取失败直接报错"原则
error_msg = f"{{\"error\": \"{str(e)}\"}}"
yield f"data: {error_msg}\n\n"
raise # 重新抛出异常
@app.post("/v1/completions")
async def create_completion(request: CompletionRequest):
return StreamingResponse(generate_stream(request), media_type="text/event-stream")
if __name__ == "__main__":
import uvicorn
uvicorn.run(app, host="0.0.0.0", port=8000)
```
### 5. 后端:Prompt 构建和 LLM 调用
**文件**: `backend/prompt.py`, `backend/llm.py`
- 构建补全 Prompt(参考 completions-sample-code 的 extractPrompt
- OpenAI API 流式调用
- 返回 SSE 格式响应
#### Prompt 构建
```python
import os
from typing import Tuple
def build_prompt(prefix: str, suffix: str) -> str:
"""
构建用于代码补全的 Prompt。
参考 completions-sample-code 的 extractPrompt 逻辑简化实现。
"""
MAX_CONTEXT_LINES = 30
prefix_lines = prefix.split('\n')
suffix_lines = suffix.split('\n') if suffix else []
recent_prefix = '\n'.join(prefix_lines[-MAX_CONTEXT_LINES:])
recent_suffix = '\n'.join(suffix_lines[:5])
prompt = f"""
You are a helpful writing assistant. Continue the text naturally based on the context.
Context (before cursor):
{recent_prefix}
Complete this:
{suffix if suffix else '(cursor here)'}
Continue:"""
return prompt.strip()
```
#### LLM 调用
```python
import os
from typing import AsyncGenerator
from openai import AsyncOpenAI
import json
api_key = os.getenv('OPENAI_API_KEY', 'ollama')
base_url = os.getenv('OLLAMA_BASE_URL', 'http://localhost:11434/v1/')
model = os.getenv('OLLAMA_MODEL', 'gpt-4')
client = AsyncOpenAI(api_key=api_key, base_url=base_url)
async def stream_openai(prompt: str) -> AsyncGenerator[str, None]:
"""
调用 OpenAI/Ollama API 并流式返回补全内容。
参考 completions-sample-code 的 streaming 逻辑。
"""
try:
stream = await client.chat.completions.create(
model=model,
messages=[{"role": "user", "content": prompt}],
stream=True,
max_tokens=128,
temperature=0.2,
)
chunk_count = 0
async for chunk in stream:
if chunk.choices[0].delta.content:
content = chunk.choices[0].delta.content
chunk_count += 1
yield json.dumps({"content": content})
except Exception as e:
# 修复:遵循"获取失败直接报错"原则
yield json.dumps({"error": str(e)})
raise # 重新抛出异常
```
## 文件结构
@@ -66,13 +519,14 @@ llm-in-text/
│ ├── components/
│ │ └── MilkdownEditor.vue [修改]
│ ├── plugins/
│ │ ── inlineSuggestionPlugin.ts [新建]
│ │ ── inlineSuggestionPlugin.ts [修改]
│ │ └── types.ts [新建]
│ └── ...
└── backend/
├── main.py [新建]
├── prompt.py [新建]
├── llm.py [新建]
└── requirements.txt [新建]
├── main.py [修改]
├── prompt.py [修改]
├── llm.py [修改]
└── requirements.txt [修改]
```
## API 设计
@@ -95,9 +549,51 @@ data: {"content": "a te"}
data: {"content": "a test"}
data: [DONE]
data: {"done": true}
```
## 已知问题及修复方案
### 🔴 严重问题(P0
#### 1. 全局状态污染
**位置**: `inlineSuggestionPlugin.ts:6-8`
**问题**: 使用模块级全局变量,多个编辑器实例会共享状态
**修复**: 使用 ProseMirror 插件的状态管理机制,每个插件实例维护自己的状态
#### 2. 错误处理违反原则
**位置**: `llm.py:42-44`, `main.py:34-37`
**问题**: 错误时只返回错误信息,不抛出异常
**修复**: 遵循"获取失败直接报错"原则,在 yield 错误信息后重新抛出异常
### 🟡 中等问题(P1
#### 3. 代码重复
**问题**: `fetchSuggestion` 逻辑在两个文件中重复
**修复**: 提取共享的 `fetchSuggestion` 函数,在插件和编辑器组件中复用
#### 4. 缺少 CORS 配置
**问题**: 后端没有配置 CORS,可能导致跨域请求失败
**修复**: 在 FastAPI 中添加 CORS 中间件
#### 5. 建议文本无长度限制
**问题**: 建议文本可能过长,影响显示效果
**修复**: 在 GhostTextOverlay 组件中添加 `maxLength` prop,截断过长的建议
### 🟢 轻微问题(P2
#### 6. 缺少加载状态
**问题**: 用户无法知道是否正在获取建议
**修复**: 在插件状态中添加 `loading` 字段,在 UI 中显示加载指示器
#### 7. 缺少类型定义
**问题**: TypeScript 代码中缺少完整的类型定义
**修复**: 添加 `SuggestionState` 接口和完整的类型定义
#### 8. API URL 硬编码
**问题**: API URL 硬编码在前端代码中
**修复**: 使用环境变量 `VITE_API_URL` 配置 API URL
## 参考代码映射
| completions-sample-code | 本项目实现 |
@@ -107,5 +603,23 @@ data: [DONE]
| `networking.ts postRequest()` | 后端 API 接口 |
| `prompt/extractPrompt()` | 后端 Prompt 构建 |
## 最佳实践
### 错误处理
- 遵循"获取失败直接报错"原则
- 不返回默认值,不尝试隐藏报错信息
- 在前端和后端都实现完整的错误处理
### 性能优化
- 使用 150ms 防抖,避免频繁请求
- 流式传输(SSE),降低延迟
- 及时清理定时器和事件监听器
### 代码质量
- 避免全局变量,使用插件状态管理
- 提取共享逻辑,避免代码重复
- 添加完整的类型定义
- 移除调试日志或条件化输出
## 下一步
确认计划后切换到 Code 模式开始实现。
+356 -7
View File
@@ -16,7 +16,7 @@
graph TB
A[App.vue] --> B[MilkdownProvider]
B --> C[Milkdown Editor - Crepe]
subgraph "Crepe 核心功能"
D[WYSWIYG 编辑体验]
E[Markdown 语法即时渲染]
@@ -24,6 +24,14 @@ graph TB
G[代码块高亮]
H[图片粘贴支持]
end
subgraph "集成功能"
I[GhostTextOverlay<br/>建议文本显示]
J[InlineSuggestionPlugin<br/>智能补全]
end
C --> I
C --> J
```
## 实施步骤
@@ -38,19 +46,280 @@ npm install @milkdown/crepe @milkdown/vue
**文件**: `src/components/MilkdownEditor.vue`
#### 核心实现要点
```vue
<template>
<MilkdownProvider>
<Milkdown />
</MilkdownProvider>
<div class="editor-container" ref="containerRef">
<button class="export-btn" @click="exportMarkdown">导出文件</button>
<div ref="root" class="milkdown-editor"></div>
<!-- 修复正确的组件标签语法 -->
<GhostTextOverlay
v-if="suggestion && cursorRect"
:suggestion="suggestion"
:position="cursorRect"
@accept="acceptSuggestion"
@dismiss="dismissSuggestion"
/>
</div>
</template>
<script setup>
import { Milkdown, MilkdownProvider, useEditor } from '@milkdown/vue'
import { onMounted, onUnmounted, ref } from 'vue'
import { Crepe } from '@milkdown/crepe'
import GhostTextOverlay from './GhostTextOverlay.vue'
const { get } = useEditor((root) => new Crepe({ root }))
const root = ref(null)
const containerRef = ref(null)
let crepe = null
const suggestion = ref('')
const cursorRect = ref(null)
let debounceTimer = null
let lastPos = -1
const API_URL = import.meta.env.VITE_API_URL || 'http://localhost:8000/v1/completions'
const DEBOUNCE_MS = 150
onMounted(async () => {
if (!root.value) return
crepe = new Crepe({
root: root.value,
defaultValue: '# Welcome to LLM in text\n\nStart writing your content here...',
})
await crepe.create()
// 修复:使用更可靠的事件绑定方式
initEditorEvents()
})
// 修复:组件卸载时清理资源
onUnmounted(() => {
if (debounceTimer) {
clearTimeout(debounceTimer)
}
if (crepe) {
crepe.destroy()
}
})
const getCursorPosition = async () => {
if (!crepe) return null
try {
const ctx = crepe.ctx.get()
const view = ctx.get('view')
const { from } = view.state.selection
const coords = view.coordsAtPos(from)
const containerRect = containerRef.value?.getBoundingClientRect()
if (!containerRect) return null
return {
left: coords.left - containerRect.left,
top: coords.top - containerRect.top + window.scrollY,
fontSize: 16,
fontFamily: 'monospace',
}
} catch (e) {
console.error('getCursorPosition error:', e)
return null
}
}
const fetchSuggestion = async (prefix, suffix) => {
try {
const res = await fetch(API_URL, {
method: 'POST',
headers: { 'Content-Type': 'application/json' },
body: JSON.stringify({ prefix, suffix, languageId: 'markdown' }),
})
// 修复:遵循"获取失败直接报错"原则
if (!res.ok) {
const errorText = await res.text()
throw new Error(`API request failed: ${res.status} - ${errorText}`)
}
const reader = res.body?.getReader()
if (!reader) {
throw new Error('No response body reader available')
}
let text = ''
while (true) {
const { done, value } = await reader.read()
if (done) break
const chunk = new TextDecoder().decode(value)
const lines = chunk.split('\n').filter(l => l.startsWith('data: '))
for (const line of lines) {
try {
const data = JSON.parse(line.slice(6))
if (data.content) {
text += data.content
}
if (data.done || data.error) break
} catch (e) {
// 忽略 JSON 解析错误,继续处理下一行
}
}
}
return text
} catch (e) {
// 修复:直接抛出错误,不返回空字符串
throw e
}
}
const onInput = async () => {
if (!crepe) return
try {
const ctx = crepe.ctx.get()
const view = ctx.get('view')
const { from } = view.state.selection
if (from === lastPos) return
lastPos = from
const prefix = view.state.doc.textBetween(0, from)
const suffix = view.state.doc.textBetween(from, view.state.doc.content.size)
// 修复:使用正确的字符串截取方法
console.log('Prefix preview:', prefix.slice(-50))
clearTimeout(debounceTimer)
debounceTimer = setTimeout(async () => {
try {
cursorRect.value = await getCursorPosition()
suggestion.value = await fetchSuggestion(prefix, suffix)
} catch (e) {
console.error('Failed to fetch suggestion:', e)
suggestion.value = ''
}
}, DEBOUNCE_MS)
} catch (e) {
console.error('onInput error:', e)
}
}
const handleTab = () => {
if (suggestion.value) {
const ctx = crepe.ctx.get()
const view = ctx.get('view')
view.dispatch(view.state.tr.insertText(suggestion.value))
suggestion.value = ''
}
}
const dismissSuggestion = () => {
suggestion.value = ''
}
const acceptSuggestion = () => {
if (suggestion.value) {
const ctx = crepe.ctx.get()
const view = ctx.get('view')
view.dispatch(view.state.tr.insertText(suggestion.value))
suggestion.value = ''
}
}
const exportMarkdown = async () => {
if (!crepe) return
const markdown = await crepe.getMarkdown()
const blob = new Blob([markdown], { type: 'text/markdown' })
const url = URL.createObjectURL(blob)
const a = document.createElement('a')
a.href = url
a.download = `document-${Date.now()}.md`
a.click()
URL.revokeObjectURL(url)
}
// 修复:使用更可靠的事件绑定方式
const initEditorEvents = () => {
if (!crepe) return
try {
const ctx = crepe.ctx.get()
const view = ctx.get('view')
// 直接在编辑器 DOM 上监听输入事件
view.dom.addEventListener('input', onInput)
view.dom.addEventListener('keydown', (e) => {
if (e.key === 'Tab') {
handleTab()
}
})
} catch (e) {
console.error('Failed to bind events:', e)
}
}
</script>
<style scoped>
.editor-container {
position: relative;
}
.export-btn {
position: fixed;
top: 20px;
right: 20px;
padding: 8px 16px;
background-color: #4a90d9;
color: white;
border: none;
border-radius: 4px;
cursor: pointer;
z-index: 1000;
}
.export-btn:hover {
background-color: #3a7bc8;
}
.milkdown-editor {
width: 100vw;
height: 100vh;
background-color: #ffffff;
overflow-y: auto;
}
.milkdown-editor::-webkit-scrollbar {
width: 8px;
}
.milkdown-editor::-webkit-scrollbar-track {
background: transparent;
}
.milkdown-editor::-webkit-scrollbar-thumb {
background-color: #ddd;
border-radius: 4px;
}
.milkdown-editor :deep(.milkdown) {
max-width: 900px;
margin: 0 auto !important;
padding: 20px 40px !important;
min-height: calc(100vh - 40px);
}
.milkdown-editor :deep(*) {
margin-top: 0 !important;
margin-bottom: 0 !important;
padding-top: 0 !important;
padding-bottom: 0 !important;
}
</style>
```
### Step 3: 更新 App.vue
@@ -67,8 +336,88 @@ import '@milkdown/crepe/theme/common/style.css'
import '@milkdown/crepe/theme/frame.css'
```
## 已知问题及修复方案
### 🔴 严重问题(P0
#### 1. 模板语法错误
**位置**: `MilkdownEditor.vue:7-13`
**问题**: GhostTextOverlay 组件标签缺少尖括号
**修复**: 使用正确的 Vue 组件标签语法 `<GhostTextOverlay>``</GhostTextOverlay>`
#### 2. 字符串截取错误
**位置**: `MilkdownEditor.vue:155`
**问题**: `prefix.substring(-50)` 在 JavaScript 中会返回整个字符串
**修复**: 改为 `prefix.slice(-50)``prefix.substring(prefix.length - 50)`
#### 3. 错误处理违反原则
**位置**: `MilkdownEditor.vue:92-94`
**问题**: 请求失败时返回空字符串而不是抛出错误
**修复**: 遵循"获取失败直接报错"原则,抛出异常而不是返回默认值
### 🟡 中等问题(P1
#### 4. 内存泄漏风险
**问题**: 组件卸载时没有清理 `debounceTimer`
**修复**: 添加 `onUnmounted` 生命周期钩子,清理定时器和编辑器实例
#### 5. 不可靠的事件绑定
**问题**: 使用硬编码的 500ms 延迟等待编辑器创建
**修复**: 在 `await crepe.create()` 后直接调用 `initEditorEvents()`
#### 6. 代码重复
**问题**: `fetchSuggestion` 逻辑在两个文件中重复
**修复**: 将共享逻辑提取到独立的工具函数或服务中
#### 7. 全局状态污染
**问题**: 插件使用模块级全局变量
**修复**: 使用 ProseMirror 插件的状态管理机制
### 🟢 轻微问题(P2
#### 8. 大量调试日志
**问题**: 代码中包含大量 `console.log` 调试语句
**修复**: 移除或条件化调试日志
#### 9. 缺少类型定义
**问题**: TypeScript 代码中缺少完整的类型定义
**修复**: 添加完整的 TypeScript 类型定义
#### 10. 没有加载状态
**问题**: 用户无法知道是否正在获取建议
**修复**: 添加加载状态指示器
#### 11. 建议文本无长度限制
**问题**: 建议文本可能过长
**修复**: 添加建议文本长度限制
#### 12. API URL 硬编码
**问题**: API URL 硬编码在前端代码中
**修复**: 使用环境变量配置 API URL
#### 13. 缺少 CORS 配置
**问题**: 后端没有配置 CORS
**修复**: 在 FastAPI 中添加 CORS 中间件
## 全屏覆盖样式要点
- 编辑器容器: `width: 100vw; height: 100vh`
- 移除默认 padding/margin
- 纯编辑器模式,无预览面板
- 纯编辑器模式,无预览面板
- 自定义滚动条样式
## 性能优化建议
1. **防抖优化**: 保持 150ms 防抖,避免频繁请求
2. **流式响应**: 使用 SSE 流式传输,降低延迟
3. **上下文截取**: 智能截取上下文(光标前30行 + 后5行)
4. **内存管理**: 及时清理定时器和事件监听器
5. **代码精简**: 移除冗余代码和注释
## 测试要点
1. 编辑器基本功能测试
2. 建议功能测试(Tab 接受、Esc 取消、点击接受)
3. 错误处理测试(网络错误、API 错误)
4. 性能测试(大量文本输入)
5. 内存泄漏测试(长时间使用)