conversational-ui¶
第5章 · Coding Agent 与代码生成 · 配套项目
chapter5/conversational-ui
项目说明¶
实验 5-11：对话式界面定制系统（★★）¶
用户用自然语言提出 UI 定制需求（颜色 / 字体 / 文案 / 布局 / 组件位置）， Agent 自主定位并修改前端源码，开发模式下的热加载（HMR）让改动即时生效， 支持多轮迭代定制。
目的¶
把"一刀切"的标准前端，变成"千人千面"的可对话定制界面：
- 基础 chatbot 应用 = React(Vite) 前端 + FastAPI 后端；
- 前后端都跑在开发模式：前端 Vite HMR、后端 uvicorn --reload；
- 用户说"把发送按钮改成蓝色 / 换成等宽字体 / 标题改成 XXX"，
Agent（OpenAI，默认
gpt-5.6-luna；未配置OPENAI_API_KEY时设OPENROUTER_API_KEY自动改走 OpenRouter）读懂需求 → 改frontend/src里的源码文件； - 热加载检测到文件变化，浏览器无需整页刷新即可看到界面变化。
原理 / 架构（简述）¶
整个系统由四部分组成，各司其职：
agent.py（定制 Agent）：核心。把一条自然语言需求 + 当前可编辑源码喂给 OpenAI， 用 function calling 的apply_edits工具让模型返回"改写后的文件全文"。 只暴露白名单文件（src/App.jsx、src/theme.css）给模型，并在返回后校验路径， 防止模型改错/新增文件。它只产出改写方案，不落盘（便于展示 diff 与验证）。baseline/src/（基线快照）：前端源码的"出厂原样"。demo.py每轮开始前把它 拷回frontend/src，保证多次运行结果可重复、互不污染——这也是 Agent 改动与 原始界面做 diff 的对照基准。frontend/（React + Vite 前端）：被定制的对象。Agent 改的就是这里的src/*； 开发模式下 Vite HMR 让改动即时可见，vite build用于验证"改动没破坏应用"。backend/（FastAPI 后端）：最小 chatbot 服务（/api/chat），为前端提供可对话的载体； 默认 echo 回声模式（开箱即用、无需任何 Key），也可用--model一键切到真实 LLM 对话； 自带命令行入口（python main.py --help），--reload演示"后端热加载"。它不参与 UI 定制， 是让整套界面能真实跑起来的配角。
一句话：Agent 读需求 → 改前端源码 → 断言改动生效 + 构建不破坏，
baseline 保证可重复，backend 让界面能真实对话。
关于热加载（HMR）¶
- 前端：
npm run dev启动的 Vite dev server 自带 HMR。Agent 一改src/*.jsx或src/theme.css，浏览器局部热替换、保留应用状态，界面即时更新。 - 后端：
uvicorn main:app --reload监听.py变化自动重启。 - 本实验的定制主要作用于前端源码，所以视觉效果靠前端 HMR 体现。
目录结构¶
conversational-ui/
├── frontend/ # React + Vite 前端（基础 chatbot 界面）
│ ├── src/App.jsx # 界面与 UI 文案（Agent 改"文案/组件"）
│ ├── src/theme.css # 颜色/字体/布局样式（Agent 改"样式"）
│ ├── src/main.jsx
│ ├── index.html
│ ├── vite.config.js # 开启 HMR + /api 代理到后端
│ └── package.json
├── backend/
│ ├── main.py # FastAPI 后端（/api/chat）
│ └── requirements.txt
├── baseline/src/ # 前端源码初始快照（demo 每次运行前恢复，保证可重复）
├── agent.py # 定制 Agent：NL 需求 → 用 OpenAI 改写源码
├── demo.py # 端到端演示 + 自动验证（NL→代码→断言→构建）
├── requirements.txt # 后端 + Agent 依赖
├── env.example
└── .gitignore # node_modules / dist / .env 均已忽略
运行方式¶
1) 准备环境¶
# Python 依赖（Agent + 后端）
pip install -r requirements.txt
# 前端依赖（首次 npm install 较慢属正常）
cd frontend && npm install && cd ..
# 配置 OpenAI Key
cp env.example .env # 然后填入 OPENAI_API_KEY（或设 OPENROUTER_API_KEY 兜底）
2) 自动验证闭环（无需浏览器）¶
python demo.py # 跑全部 3 轮定制并做完整验证
python demo.py --quick # 只跑第 1 轮（省时，用于快速冒烟）
python demo.py --rounds 2 # 只跑前 2 轮
python demo.py --no-build # 跳过 vite build（仅验证"改动被正确应用"，更快）
python demo.py -h # 查看全部参数
demo.py 会连续跑 3 轮自然语言定制，每轮：
调用真实 OpenAI 改写源码 → 打印改动 diff → 读回源码断言"改动符合需求" →
vite build 验证"没破坏应用"。首轮较慢多因 npm install 或首次构建，
想快速验证可用 --quick 或 --no-build。
3) 手动体验真实 HMR（可选，需要浏览器）¶
# 终端 A：后端（热加载）。两种启动方式行为一致，任选其一：
cd backend && python main.py --reload --port 8000 # 本文件自带命令行入口
# 或： cd backend && uvicorn main:app --reload --port 8000 # 书中示例写法
# 想让运行起来的 chatbot 真会说话（而非回声）：加 --model gpt-5.6-luna（需 OPENAI_API_KEY 或 OPENROUTER_API_KEY）
# 终端 B：前端（HMR）
cd frontend && npm run dev
# 打开 http://localhost:5173
# 终端 C：跑一条定制需求，回到浏览器即可看到界面即时变化
python -c "import agent,pathlib; c,m=agent.build_client_and_model(); \
r=agent.customize(c,m,pathlib.Path('frontend'),'把发送按钮改成橙色'); \
[pathlib.Path('frontend',f['path']).write_text(f['content']) for f in r['files']]"
后端命令行参数（cd backend && python main.py --help）：
| 参数 | 说明 | 默认 |
|---|---|---|
--host |
监听地址（对外可用 0.0.0.0） |
127.0.0.1 |
--port |
监听端口（前端把 /api 代理到此端口） |
8000 |
--reload / --no-reload |
是否开启后端热加载 | 开启 |
--model NAME |
指定模型名，切到真实 LLM 对话；缺省为 echo 回声模式（也可用环境变量 CHAT_MODEL） |
无（echo） |
--log-level |
uvicorn 日志/输出级别 | info |
--print-config |
只打印生效配置(JSON)后退出，不监听端口（便于无端口环境下校验） | 关 |
echo 与 LLM 两种模式都不影响 UI 定制闭环——定制作用于前端源码，后端只是让界面能真实对话的载体。 LLM 模式复用与
agent.py相同的OPENAI_API_KEY/OPENAI_BASE_URL配置；缺 Key 或调用失败会自动回退占位提示，绝不编造回复。
验证方式与局限¶
- 本 demo 自动验证的是：自然语言 → 代码修改被正确应用且不破坏构建的闭环。
- 读回源码断言：如"改成蓝色 #2563eb"→ 源码里确实出现该色值；
"换成等宽字体"→ 出现
monospace；"标题改成 XXX"→ 出现该文案。 - 每轮改动后
vite build必须编译通过，证明改动没破坏应用。 - 本 demo 不做的：真实浏览器内 HMR 的视觉即时刷新。
本机无 Playwright/浏览器，无法自动截图验证视觉效果——
这部分需手动
npm run dev+ 打开浏览器查看（见上文第 3 步）。 - Agent 只被允许改写白名单文件（
src/App.jsx、src/theme.css）， 降低改错文件的风险；改写采用"整文件重写"，对小文件比零散替换更稳。
真实运行输出（节选）¶
第 1 轮 NL 定制需求：把发送按钮和用户消息气泡的主题色从绿色改成蓝色，用 #2563eb 这个蓝。
[改动文件] src/theme.css
- --color-primary: #16a34a; /* 初始为绿色 */
+ --color-primary: #2563eb; /* 改为蓝色 */
断言：源码中出现蓝色值 #2563eb -> 通过 ✅
构建结果：通过 ✅
第 2 轮 NL 定制需求：把整个界面的字体换成等宽字体（monospace）。
[改动文件] src/theme.css
- --font-family: system-ui, "PingFang SC", ... sans-serif;
+ --font-family: monospace;
断言：源码中出现 monospace 等宽字体 -> 通过 ✅
构建结果：通过 ✅
第 3 轮 NL 定制需求：把顶部的标题文案改成"我的专属客服"。
[改动文件] src/App.jsx
- const HEADER_TITLE = "智能助手";
+ const HEADER_TITLE = "我的专属客服";
断言：源码中出现新标题文案"我的专属客服" -> 通过 ✅
构建结果：通过 ✅
多轮定制总结：全部通过 ✅
环境变量¶
| 变量 | 说明 |
|---|---|
OPENAI_API_KEY |
必填其一，本实验读取此项（未配置时用 OPENROUTER_API_KEY 兜底） |
OPENAI_BASE_URL |
可选，切换到兼容 OpenAI 协议的服务端点 |
MODEL |
可选，默认 gpt-5.6-luna |
如何适配 / 扩展¶
- 换模型 / 换供应商：Agent 走标准 OpenAI SDK，任何"兼容 OpenAI 协议"的服务都能接。
只需在
.env或环境变量里设置OPENAI_BASE_URL+MODEL+ 对应的OPENAI_API_KEY， 代码无需改动。例如： - Kimi / Moonshot：
OPENAI_BASE_URL=https://api.moonshot.cn/v1、MODEL=kimi-k3； - 火山方舟(ARK)：
OPENAI_BASE_URL=https://ark.cn-beijing.volces.com/api/v3、MODEL=<endpoint-id>； - 本地 vLLM / Ollama 等：把
OPENAI_BASE_URL指向本地端点即可。 - 扩展可定制范围：默认只允许改
src/App.jsx、src/theme.css。想让 Agent 能改更多文件， 在agent.py的EDITABLE_FILES白名单里增删路径即可（白名单越大越灵活，但改错风险也越大）。 - 新增验证轮次：在
demo.py的ROUNDS里追加{"requirement": ..., "verify": ...}， 即可把自己的定制需求纳入自动断言闭环。 - 接前端：
frontend/是标准 Vite 工程，npm run dev起 HMR、npm run build出静态产物。 想接自己的界面，替换src/*并同步更新白名单与baseline/快照即可。 - 接后端 / 真实 LLM 对话：
backend/main.py的/api/chat默认是回声式占位回复， 加--model <模型名>（或设CHAT_MODEL）即可切到真实 LLM 对话（复用上面的OPENAI_*配置）变成真实客服； 想换成自定义业务逻辑，改写_llm_reply或chat里的返回即可。
源代码¶
agent.py¶
"""实验 5-11：对话式界面定制 Agent。
职责：接收一条自然语言 UI 定制需求（如"把发送按钮改成蓝色"），读取前端源码，
调用 OpenAI 让模型定位并改写相应源文件（颜色 / 字体 / 文案 / 布局 / 组件）。
设计要点
--------
- 只暴露少量"可定制文件"给模型（frontend/src 下的 App.jsx 与 theme.css），
降低模型改错文件的概率，也让改动可控、可验证。
- 通过 function calling 的 `apply_edits` 工具，让模型返回"要整体改写的文件全文"。
相比零散的 search/replace，整文件改写对小文件更稳定、更少破坏语法。
- 修改前先把原文件内容快照下来，改后可计算 diff、读回断言，并跑构建验证。
环境变量:
OPENAI_API_KEY （必填，本实验读取此项）
OPENAI_BASE_URL （可选，切换到兼容 OpenAI 协议的服务端点）
MODEL （可选，默认 gpt-5.6-luna）
OPENROUTER_API_KEY（可选，无直连 key 时自动改走 OpenRouter 兜底）
"""
import os
import json
from pathlib import Path
from openai import OpenAI
try:
from dotenv import load_dotenv
load_dotenv()
except Exception: # dotenv 是可选依赖
pass
# 可被 Agent 定制的前端源文件（相对 frontend/ 的路径）。
EDITABLE_FILES = [
"src/App.jsx",
"src/theme.css",
]
OPENROUTER_BASE_URL = "https://openrouter.ai/api/v1"
def map_model_to_openrouter(model: str) -> str:
"""把直连模型名映射为 OpenRouter 上的 id（非可映射 id 统一兜底到当前廉价旗舰）。"""
if not model or "/" in model:
return model or "openai/gpt-5.6-luna"
m = model.lower()
if m.startswith(("gpt-", "o1", "o3", "o4")):
return "openai/" + model
if m.startswith("claude"):
if "haiku" in m:
return "anthropic/claude-haiku-4.5"
if "sonnet" in m:
return "anthropic/claude-sonnet-4.6"
return "anthropic/claude-opus-4.8"
if m.startswith("gemini"):
return "google/" + model
return "openai/gpt-5.6-luna"
def build_client_and_model():
model = os.getenv("MODEL", "gpt-5.6-luna")
api_key = os.getenv("OPENAI_API_KEY")
base_url = os.getenv("OPENAI_BASE_URL")
orkey = os.getenv("OPENROUTER_API_KEY")
# 通用 OpenRouter 兜底：无直连 key，或默认 gpt-5.x（直连需组织实名认证）时改走 OpenRouter。
prefer_or = bool(orkey) and (model or "").lower().startswith("gpt-5")
if prefer_or or (not api_key and orkey):
api_key, base_url, model = orkey, OPENROUTER_BASE_URL, map_model_to_openrouter(model)
if not api_key:
raise SystemExit("未找到 OPENAI_API_KEY（或 OPENROUTER_API_KEY 兜底），请先在环境变量或 .env 中设置。")
# timeout / max_retries：让偶发的网络/SSL 抖动自动重试，不至于整轮崩溃
client_kwargs = {"api_key": api_key, "timeout": 60.0, "max_retries": 3}
if base_url:
client_kwargs["base_url"] = base_url
client = OpenAI(**client_kwargs)
return client, model
APPLY_EDITS_TOOL = {
"type": "function",
"function": {
"name": "apply_edits",
"description": (
"根据用户的界面定制需求，改写一个或多个前端源文件。"
"只返回真正需要改动的文件；每个文件返回改写后的完整内容。"
),
"parameters": {
"type": "object",
"properties": {
"summary": {
"type": "string",
"description": "用一句话说明本次改了什么（中文）。",
},
"files": {
"type": "array",
"description": "需要改写的文件列表。",
"items": {
"type": "object",
"properties": {
"path": {
"type": "string",
"description": "相对 frontend/ 的文件路径，"
"必须是可编辑文件之一。",
},
"content": {
"type": "string",
"description": "改写后的文件完整内容。",
},
},
"required": ["path", "content"],
},
},
},
"required": ["summary", "files"],
},
},
}
SYSTEM_PROMPT = """你是一个前端界面定制 Agent，负责把用户的自然语言 UI 需求落到 React(Vite) 源码上。
规则：
1. 只能修改用户提供的"可编辑文件"，不要新增或删除文件。
2. 优先做最小改动：改颜色/字体/间距等样式，改 theme.css；改文案/组件结构，改 App.jsx。
3. 颜色请使用明确的 CSS 颜色值（如十六进制 #2563eb）。如果用户给了具体色值，就用它。
4. 保持代码可编译：JSX/CSS 语法必须正确，不要破坏原有功能。
5. 必须调用 apply_edits 工具返回结果，files 里给出改写后的完整文件内容。
"""
def read_editable_sources(frontend_dir: Path) -> dict:
"""读取所有可编辑文件当前内容，返回 {相对路径: 内容}。"""
sources = {}
for rel in EDITABLE_FILES:
p = frontend_dir / rel
sources[rel] = p.read_text(encoding="utf-8")
return sources
def customize(client, model, frontend_dir: Path, requirement: str) -> dict:
"""让模型针对一条自然语言需求改写源码，返回 apply_edits 的参数 dict。
仅调用模型并解析工具参数，不落盘（写文件、验证在 demo.py 里做，便于展示 diff）。
"""
sources = read_editable_sources(frontend_dir)
file_blocks = "\n\n".join(
f"===== 文件: {rel} =====\n{content}" for rel, content in sources.items()
)
user_prompt = (
f"可编辑文件当前内容如下：\n\n{file_blocks}\n\n"
f"用户的定制需求：{requirement}\n\n"
f"请调用 apply_edits 返回需要改写的文件全文。"
)
resp = client.chat.completions.create(
model=model,
messages=[
{"role": "system", "content": SYSTEM_PROMPT},
{"role": "user", "content": user_prompt},
],
tools=[APPLY_EDITS_TOOL],
tool_choice={"type": "function", "function": {"name": "apply_edits"}},
temperature=(1 if any(k in (model or "").lower()
for k in ("gpt-5", "o1", "o3", "o4", "thinking", "reasoner", "kimi-k3"))
else 0),
)
msg = resp.choices[0].message
if not msg.tool_calls:
raise RuntimeError("模型没有返回 apply_edits 工具调用。")
args = json.loads(msg.tool_calls[0].function.arguments)
# 安全校验：只允许改写白名单内的文件。
files = args.get("files") or []
for f in files:
path = f.get("path")
if path not in EDITABLE_FILES:
raise RuntimeError(f"模型试图修改非白名单文件：{path}")
args["files"] = files
return args
backend/main.py¶
"""实验 5-11：对话式界面定制系统 —— FastAPI 后端。
一个最小的 chatbot 后端：前端把用户消息 POST 到 /api/chat，后端返回回复。
开发模式下用 `uvicorn main:app --reload` 启动，改动后端代码会自动 reload
（对应书中所说的"FastAPI 的热加载"）。
两种回复模式（默认保持"回声式"占位，聚焦 UI 定制这一主题）：
- **echo（默认）**：后端把用户消息原样回显，无需任何模型 Key，开箱即用；
- **llm（可选）**：设置模型后走真实 LLM 对话，让运行起来的 chatbot 真会说话。
通过命令行 `--model` 或环境变量 `CHAT_MODEL` 打开，复用与 agent.py 相同的
OPENAI_API_KEY / OPENAI_BASE_URL 配置。
启动方式（二选一，行为一致）：
uvicorn main:app --reload --port 8000 # 书中示例：模块级 app + uvicorn 热加载
python main.py --reload --port 8000 # 本文件自带的命令行入口（见 --help）
"""
import os
import argparse
from fastapi import FastAPI
from fastapi.middleware.cors import CORSMiddleware
from pydantic import BaseModel
try: # dotenv 可选：让 --model 模式也能读到 .env 里的 OPENAI_API_KEY
from dotenv import load_dotenv
load_dotenv()
except Exception:
pass
app = FastAPI(title="Conversational UI Backend")
# 允许前端(Vite dev server, 5173)直接跨域访问，方便本地开发。
app.add_middleware(
CORSMiddleware,
allow_origins=["*"],
allow_methods=["*"],
allow_headers=["*"],
)
class ChatRequest(BaseModel):
message: str
def _chat_model() -> str:
"""当前回复模式：返回模型名则走真实 LLM，返回空串则为默认 echo 模式。
从环境变量 CHAT_MODEL 读取（而非模块级常量），这样即使 `--reload` 触发的
子进程重新 import 本模块，也能透过环境变量拿到命令行传入的模型设置。
"""
return (os.getenv("CHAT_MODEL") or "").strip()
def _llm_reply(message: str, model: str) -> str:
"""走真实 LLM 生成回复，复用 agent.py 同款 OPENAI_* 配置。
任何异常都降级为清晰的提示（绝不编造回复），保证前端不至于白屏。
"""
try:
from openai import OpenAI
except Exception:
return "（未安装 openai 依赖，无法启用 LLM 模式；已回退占位回复）"
api_key = os.getenv("OPENAI_API_KEY")
base_url = os.getenv("OPENAI_BASE_URL")
orkey = os.getenv("OPENROUTER_API_KEY")
# 通用 OpenRouter 兜底：无直连 key，或 gpt-5.x（直连需组织实名认证）时改走 OpenRouter。
prefer_or = bool(orkey) and (model or "").lower().startswith("gpt-5")
if prefer_or or (not api_key and orkey):
api_key, base_url = orkey, "https://openrouter.ai/api/v1"
if "/" not in model:
model = ("openai/" + model) if model.lower().startswith(("gpt-", "o1", "o3", "o4")) else "openai/gpt-5.6-luna"
if not api_key:
return "（未配置 OPENAI_API_KEY 或 OPENROUTER_API_KEY，无法启用 LLM 模式；已回退占位回复）"
client_kwargs = {"api_key": api_key, "timeout": 60.0, "max_retries": 2}
if base_url:
client_kwargs["base_url"] = base_url
try:
client = OpenAI(**client_kwargs)
resp = client.chat.completions.create(
model=model,
messages=[
{"role": "system", "content": "你是一个乐于助人的中文智能助手，回答简洁友好。"},
{"role": "user", "content": message},
],
temperature=(1 if any(k in (model or "").lower()
for k in ("gpt-5", "o1", "o3", "o4", "thinking", "reasoner", "kimi-k3"))
else 0.7),
)
return resp.choices[0].message.content or "（模型返回了空回复）"
except Exception as e: # 网络/鉴权/模型名等问题都在此兜底
return f"（调用 LLM 失败：{e}；已回退占位回复）"
@app.get("/api/health")
def health():
model = _chat_model()
return {"status": "ok", "mode": "llm" if model else "echo", "model": model or None}
@app.post("/api/chat")
def chat(req: ChatRequest):
"""默认回声式回复；设置 CHAT_MODEL 后走真实 LLM 对话。
本实验聚焦"对话式 UI 定制"，后端逻辑刻意保持最小；
如需真实客服体验，用 `python main.py --model <模型名>` 打开 LLM 模式即可。
"""
model = _chat_model()
if model:
return {"reply": _llm_reply(req.message, model)}
return {"reply": f"我收到了你的消息：{req.message}"}
# ---------------------------------------------------------------------------
# 命令行入口：让后端既能 `uvicorn main:app --reload` 启动，也能 `python main.py`
# 启动，并通过参数控制 host/port/热加载/回复模式/日志。
# ---------------------------------------------------------------------------
def parse_args(argv=None):
parser = argparse.ArgumentParser(
prog="main.py",
description="实验 5-11：对话式界面定制系统 —— FastAPI 后端（最小 chatbot 服务）。"
"为可对话定制的前端提供 /api/chat 载体，开发模式下配合 --reload 演示后端热加载。",
formatter_class=argparse.ArgumentDefaultsHelpFormatter,
)
parser.add_argument(
"--host",
default="127.0.0.1",
help="监听地址；对外可用 0.0.0.0。",
)
parser.add_argument(
"--port",
type=int,
default=8000,
help="监听端口（前端 vite.config.js 默认把 /api 代理到 8000）。",
)
reload_group = parser.add_mutually_exclusive_group()
reload_group.add_argument(
"--reload",
dest="reload",
action="store_true",
default=True,
help="开启热加载：改动后端 .py 自动重启（开发默认开启）。",
)
reload_group.add_argument(
"--no-reload",
dest="reload",
action="store_false",
help="关闭热加载（更接近生产运行）。",
)
parser.add_argument(
"--model",
default=os.getenv("CHAT_MODEL") or None,
metavar="NAME",
help="打开真实 LLM 对话并指定模型名（如 gpt-5.6-luna）；"
"缺省则为默认的 echo 回声模式。也可用环境变量 CHAT_MODEL 设置。",
)
parser.add_argument(
"--log-level",
default="info",
choices=["critical", "error", "warning", "info", "debug", "trace"],
help="uvicorn 日志/输出级别。",
)
parser.add_argument(
"--print-config",
action="store_true",
help="只打印生效配置(JSON)后退出，不真正监听端口（便于无网络/无端口环境下校验）。",
)
return parser.parse_args(argv)
def main(argv=None):
import json
args = parse_args(argv)
# 把 --model 写回环境变量：这样 --reload 派生的子进程重新 import 本模块时，
# 也能通过 CHAT_MODEL 感知到 LLM 模式（子进程不共享本函数的局部状态）。
if args.model:
os.environ["CHAT_MODEL"] = args.model
else:
os.environ.pop("CHAT_MODEL", None)
config = {
"host": args.host,
"port": args.port,
"reload": args.reload,
"mode": "llm" if args.model else "echo",
"model": args.model,
"log_level": args.log_level,
}
if args.print_config:
print(json.dumps(config, ensure_ascii=False, indent=2))
return 0
import uvicorn
print(
f"启动 FastAPI 后端：http://{args.host}:{args.port}"
f" 模式={config['mode']}"
f" 热加载={'开' if args.reload else '关'}"
)
# 用 import string 才能在 --reload 下工作；从 backend/ 目录运行 `python main.py`。
uvicorn.run(
"main:app",
host=args.host,
port=args.port,
reload=args.reload,
log_level=args.log_level,
)
return 0
if __name__ == "__main__":
raise SystemExit(main())
demo.py¶
"""实验 5-11：对话式界面定制系统 —— 端到端演示与自动验证。
本 demo 在"无浏览器"的环境里，把可验证性落在【自然语言 → 代码修改被正确应用】的闭环上：
对每一条自然语言定制需求：
1) 调用真实 OpenAI，让 Agent 定位并改写前端源码（agent.customize）；
2) 打印改动前后的 diff 片段（difflib），并把改动写回 frontend/src；
3) 读回源码做断言，确认改动"确实符合需求"（颜色值/字体/文案按要求变化）；
4) 运行 `npm run build`（vite build），确认改动没有破坏应用（可编译通过）。
连续跑多轮（本例 3 轮），验证多轮迭代定制均生效且不破坏构建。
注意：真正"浏览器内 HMR 的视觉即时刷新"需手动 `npm run dev` + 打开浏览器查看；
本 demo 自动验证的是"代码修改被正确应用，且构建始终通过"。
运行:
python demo.py # 跑全部 3 轮定制并做完整验证
python demo.py --quick # 只跑第 1 轮（省时，用于快速冒烟）
python demo.py --rounds 2 # 只跑前 2 轮
python demo.py --no-build # 跳过 vite build（仅验证"改动被正确应用"）
python demo.py -h # 查看全部参数
"""
import sys
import shutil
import difflib
import argparse
import subprocess
from pathlib import Path
import agent
HERE = Path(__file__).resolve().parent
FRONTEND = HERE / "frontend"
BASELINE = HERE / "baseline" # 前端源码的初始快照，保证 demo 可重复运行
# ---------------------------------------------------------------------------
# 每一轮的定制需求 + 对应的验证函数。
# verify(sources) 接收 {相对路径: 改写后内容}，返回 (是否通过, 说明)。
# ---------------------------------------------------------------------------
def _all_text(sources: dict) -> str:
return "\n".join(sources.values())
ROUNDS = [
{
"requirement": "把发送按钮和用户消息气泡的主题色从绿色改成蓝色，用 #2563eb 这个蓝。",
"verify": lambda s: (
"#2563eb" in _all_text(s).lower().replace("#2563EB".lower(), "#2563eb"),
"源码中出现蓝色值 #2563eb",
),
},
{
"requirement": "把整个界面的字体换成等宽字体（monospace）。",
"verify": lambda s: (
"monospace" in _all_text(s).lower(),
"源码中出现 monospace 等宽字体",
),
},
{
"requirement": "把顶部的标题文案改成“我的专属客服”。",
"verify": lambda s: (
"我的专属客服" in _all_text(s),
"源码中出现新标题文案“我的专属客服”",
),
},
]
def restore_baseline():
"""把 frontend/src 下的可编辑文件恢复为初始快照，保证可重复运行。"""
for rel in agent.EDITABLE_FILES:
src = BASELINE / rel
dst = FRONTEND / rel
dst.parent.mkdir(parents=True, exist_ok=True)
shutil.copyfile(src, dst)
def ensure_node_modules():
"""确保依赖已安装；首次 npm install 较慢属正常现象。"""
if (FRONTEND / "node_modules").exists():
return
print(">> 未发现 node_modules，正在执行 npm install（首次较慢，请耐心等待）…")
r = subprocess.run(["npm", "install"], cwd=FRONTEND)
if r.returncode != 0:
raise SystemExit("npm install 失败，请检查 Node/npm 环境。")
def run_build() -> bool:
"""运行 vite build，返回是否编译通过。"""
r = subprocess.run(
["npm", "run", "build"],
cwd=FRONTEND,
capture_output=True,
text=True,
)
tail = (r.stdout + r.stderr).strip().splitlines()
for line in tail[-6:]:
print(" | " + line)
return r.returncode == 0
def print_diff(rel: str, old: str, new: str):
"""打印一个文件改动前后的 unified diff 片段（最多若干行）。"""
diff = list(
difflib.unified_diff(
old.splitlines(),
new.splitlines(),
fromfile=f"a/{rel}",
tofile=f"b/{rel}",
lineterm="",
)
)
if not diff:
print(f" （{rel} 无变化）")
return
shown = 0
for line in diff:
if line.startswith("+++") or line.startswith("---") or line.startswith("@@"):
print(" " + line)
elif line.startswith("+"):
print(" \033[32m" + line + "\033[0m") # 绿：新增
shown += 1
elif line.startswith("-"):
print(" \033[31m" + line + "\033[0m") # 红：删除
shown += 1
else:
continue # 省略上下文行，只看真正改动
if shown >= 20:
print(" …（diff 片段已截断）")
break
def parse_args(argv=None):
"""解析命令行参数：控制跑几轮、是否跳过构建。"""
parser = argparse.ArgumentParser(
description="实验 5-11：对话式界面定制系统 —— NL → 代码修改 闭环验证。"
"对每条自然语言 UI 定制需求，让 Agent 改写前端源码，"
"并断言改动生效、vite build 不被破坏。",
formatter_class=argparse.ArgumentDefaultsHelpFormatter,
)
parser.add_argument(
"--quick",
action="store_true",
help="快速模式：只跑第 1 轮定制（等价于 --rounds 1）。",
)
parser.add_argument(
"--rounds",
type=int,
default=None,
metavar="N",
help=f"只跑前 N 轮定制（1..{len(ROUNDS)}）；默认跑全部。",
)
parser.add_argument(
"--no-build",
action="store_true",
help="跳过 vite build，仅验证'改动被正确应用'（更快，但不校验构建）。",
)
return parser.parse_args(argv)
def main(argv=None):
args = parse_args(argv)
# 决定本次运行的轮次数：--quick 优先，其次 --rounds，默认全部。
limit = len(ROUNDS)
if args.quick:
limit = 1
elif args.rounds is not None:
limit = max(1, min(args.rounds, len(ROUNDS)))
rounds = ROUNDS[:limit]
do_build = not args.no_build
print("=" * 72)
print("实验 5-11：对话式界面定制系统 —— NL → 代码修改 闭环验证")
print("=" * 72)
client, model = agent.build_client_and_model()
print(f"模型: {model}")
print(f"本次运行轮次: {limit}/{len(ROUNDS)} 构建验证: {'开启' if do_build else '关闭'}")
restore_baseline()
if do_build:
ensure_node_modules()
print("\n>> 基线构建校验（未定制前，确保应用本身可编译）…")
if not run_build():
raise SystemExit("基线构建失败，请先修复前端工程。")
print(" 基线构建：通过 ✅")
all_pass = True
for i, round_def in enumerate(rounds, 1):
req = round_def["requirement"]
print("\n" + "-" * 72)
print(f"第 {i} 轮 NL 定制需求：{req}")
print("-" * 72)
old_sources = agent.read_editable_sources(FRONTEND)
# 1) 调用 Agent（真实 OpenAI）得到改写方案
result = agent.customize(client, model, FRONTEND, req)
print(f"Agent 说明：{result.get('summary', '(无)')}")
# 2) 写回 + 打印 diff
changed = {}
for f in result["files"]:
rel = f["path"]
new_content = f["content"]
print(f"\n[改动文件] {rel}")
print_diff(rel, old_sources[rel], new_content)
(FRONTEND / rel).write_text(new_content, encoding="utf-8")
changed[rel] = new_content
# 3) 读回源码断言"改动符合需求"
current = agent.read_editable_sources(FRONTEND)
ok, desc = round_def["verify"](current)
print(f"\n断言：{desc} -> {'通过 ✅' if ok else '失败 ❌'}")
if not ok:
all_pass = False
# 4) 构建验证"没破坏应用"（--no-build 时跳过）
if do_build:
print("构建验证（vite build）：")
build_ok = run_build()
print(f" 构建结果：{'通过 ✅' if build_ok else '失败 ❌'}")
if not build_ok:
all_pass = False
else:
print("构建验证（vite build）：已跳过（--no-build）")
print("\n" + "=" * 72)
print(f"多轮定制总结：{'全部通过 ✅' if all_pass else '存在失败项 ❌'}")
print("提示：手动 `npm run dev` + 打开 http://localhost:5173 可看到 HMR 视觉即时生效。")
print("=" * 72)
return 0 if all_pass else 1
if __name__ == "__main__":
sys.exit(main())
test_customize_malformed_args.py¶
"""模型返回的 apply_edits 参数缺字段/为 null 时，customize 应干净处理而非崩溃。"""
import json
import types
import pytest
import agent
def _fake_client(arguments):
fn = types.SimpleNamespace(name="apply_edits", arguments=arguments)
tc = types.SimpleNamespace(id="c1", type="function", function=fn)
msg = types.SimpleNamespace(tool_calls=[tc], content=None)
resp = types.SimpleNamespace(choices=[types.SimpleNamespace(message=msg)])
completions = types.SimpleNamespace(create=lambda **kw: resp)
return types.SimpleNamespace(chat=types.SimpleNamespace(completions=completions))
@pytest.fixture
def frontend_dir(tmp_path):
(tmp_path / "src").mkdir()
(tmp_path / "src" / "App.jsx").write_text("// app", encoding="utf-8")
(tmp_path / "src" / "theme.css").write_text("/* css */", encoding="utf-8")
return tmp_path
def test_files_null_normalized_to_empty(frontend_dir):
"""files 为显式 null → 归一化为空列表，下游迭代不崩溃。"""
args = agent.customize(
_fake_client(json.dumps({"summary": "s", "files": None})),
"model", frontend_dir, "把按钮改成蓝色")
assert args["files"] == []
def test_file_entry_missing_path_rejected_cleanly(frontend_dir):
"""文件项缺 path → 清晰的白名单拒绝（RuntimeError），而非 KeyError。"""
with pytest.raises(RuntimeError, match="白名单"):
agent.customize(
_fake_client(json.dumps({"summary": "s", "files": [{"content": "x"}]})),
"model", frontend_dir, "把按钮改成蓝色")
def test_normal_edits_pass(frontend_dir):
"""合法参数不受影响。"""
files = [{"path": "src/theme.css", "content": "body { color: red; }"}]
args = agent.customize(
_fake_client(json.dumps({"summary": "s", "files": files})),
"model", frontend_dir, "把文字改成红色")
assert args["files"] == files
frontend/package-lock.json¶
{
"name": "conversational-ui-frontend",
"version": "0.1.0",
"lockfileVersion": 3,
"requires": true,
"packages": {
"": {
"name": "conversational-ui-frontend",
"version": "0.1.0",
"dependencies": {
"react": "^18.3.1",
"react-dom": "^18.3.1"
},
"devDependencies": {
"@vitejs/plugin-react": "^4.3.4",
"vite": "^6.0.7"
}
},
"node_modules/@babel/code-frame": {
"version": "7.29.7",
"resolved": "https://registry.npmjs.org/@babel/code-frame/-/code-frame-7.29.7.tgz",
"integrity": "sha512-Aup7aUOfpbAUg2ROOJN6Iw5f9DMBlzu0mIkm/malLQFN/YQgO48wCj0Kxa3sEHJvPVFg7siR+qRInwXd2qhQKw==",
"dev": true,
"license": "MIT",
"dependencies": {
"@babel/helper-validator-identifier": "^7.29.7",
"js-tokens": "^4.0.0",
"picocolors": "^1.1.1"
},
"engines": {
"node": ">=6.9.0"
}
},
"node_modules/@babel/compat-data": {
"version": "7.29.7",
"resolved": "https://registry.npmjs.org/@babel/compat-data/-/compat-data-7.29.7.tgz",
"integrity": "sha512-locTkQyKvwIEgBzVrn8693ebc97F2U8ZHjbXwDXJ5Fn2TCpNwTlKcaKLkdHop5c/icOFE7qt7Q9JC5hnKNa6Gg==",
"dev": true,
"license": "MIT",
"engines": {
"node": ">=6.9.0"
}
},
"node_modules/@babel/core": {
"version": "7.29.7",
"resolved": "https://registry.npmjs.org/@babel/core/-/core-7.29.7.tgz",
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"license": "MIT",
"dependencies": {
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"@jridgewell/remapping": "^2.3.5",
"convert-source-map": "^2.0.0",
"debug": "^4.1.0",
"gensync": "^1.0.0-beta.2",
"json5": "^2.2.3",
"semver": "^6.3.1"
},
"engines": {
"node": ">=6.9.0"
},
"funding": {
"type": "opencollective",
"url": "https://opencollective.com/babel"
}
},
"node_modules/@babel/generator": {
"version": "7.29.7",
"resolved": "https://registry.npmjs.org/@babel/generator/-/generator-7.29.7.tgz",
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"license": "MIT",
"dependencies": {
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"@babel/types": "^7.29.7",
"@jridgewell/gen-mapping": "^0.3.12",
"@jridgewell/trace-mapping": "^0.3.28",
"jsesc": "^3.0.2"
},
"engines": {
"node": ">=6.9.0"
}
},
"node_modules/@babel/helper-compilation-targets": {
"version": "7.29.7",
"resolved": "https://registry.npmjs.org/@babel/helper-compilation-targets/-/helper-compilation-targets-7.29.7.tgz",
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"dev": true,
"license": "MIT",
"dependencies": {
"@babel/compat-data": "^7.29.7",
"@babel/helper-validator-option": "^7.29.7",
"browserslist": "^4.24.0",
"lru-cache": "^5.1.1",
"semver": "^6.3.1"
},
"engines": {
"node": ">=6.9.0"
}
},
"node_modules/@babel/helper-globals": {
"version": "7.29.7",
"resolved": "https://registry.npmjs.org/@babel/helper-globals/-/helper-globals-7.29.7.tgz",
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"dev": true,
"license": "MIT",
"engines": {
"node": ">=6.9.0"
}
},
"node_modules/@babel/helper-module-imports": {
"version": "7.29.7",
"resolved": "https://registry.npmjs.org/@babel/helper-module-imports/-/helper-module-imports-7.29.7.tgz",
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"dev": true,
"license": "MIT",
"dependencies": {
"@babel/traverse": "^7.29.7",
"@babel/types": "^7.29.7"
},
"engines": {
"node": ">=6.9.0"
}
},
"node_modules/@babel/helper-module-transforms": {
"version": "7.29.7",
"resolved": "https://registry.npmjs.org/@babel/helper-module-transforms/-/helper-module-transforms-7.29.7.tgz",
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"dev": true,
"license": "MIT",
"dependencies": {
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frontend/package.json¶
{
"name": "conversational-ui-frontend",
"private": true,
"version": "0.1.0",
"type": "module",
"description": "实验 5-11：对话式界面定制系统 —— React(Vite) 前端",
"scripts": {
"dev": "vite",
"build": "vite build",
"preview": "vite preview"
},
"dependencies": {
"react": "^18.3.1",
"react-dom": "^18.3.1"
},
"devDependencies": {
"@vitejs/plugin-react": "^4.3.4",
"vite": "^6.0.7"
}
}
frontend/vite.config.js¶
import { defineConfig } from "vite";
import react from "@vitejs/plugin-react";
// Vite 开发服务器默认开启 HMR（热模块替换）。
// 当 Agent 修改 src/ 下的源码时，浏览器无需整页刷新即可即时看到界面变化。
export default defineConfig({
plugins: [react()],
server: {
port: 5173,
// 后端 FastAPI 跑在 8000，前端把 /api 请求代理过去，避免跨域。
proxy: {
"/api": "http://127.0.0.1:8000",
},
},
});